Saman Solaimanian | Environmental Engineering | Best Researcher Award

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Mr. Saman Solaimanian | Environmental Engineering | Best Researcher Award

Researcher from K. N. Toosi University of Technology, Iran

Saman Solaimanian is a dedicated researcher and Ph.D. candidate in Civil and Environmental Engineering, specializing in sustainable development, renewable energy, and environmental impact assessments. With a strong academic background and hands-on research experience, he has contributed significantly to environmental sustainability, waste management, and water treatment technologies. His expertise extends to environmental modeling, ESG framework development, and risk assessment for construction projects. Proficient in engineering software (AutoCAD, ArcGIS, ETABS, SimaPro) and programming languages (MATLAB, Python), he integrates computational tools with engineering solutions to address environmental challenges. He has published extensively in peer-reviewed journals and international conferences, with research focusing on renewable energy prioritization, AI in water management, and circular economy approaches in urban infrastructure. He has worked in both academic and industry settings, contributing to governmental and private sector projects. His research has been recognized through awards, including a Certificate of Excellence in Reviewing from the International Journal of Environment and Climate Change. Committed to advancing sustainable engineering practices, Saman aims to bridge the gap between academic research and real-world environmental challenges, ensuring that his work contributes to a more sustainable future through scientific innovation and practical application.

Professional Profile

Education

Saman Solaimanian holds a Master of Science in Civil and Environmental Engineering from Khajeh Nasir University of Technology (KNTU), completed in 2022 with an 88% GPA. His master’s thesis, titled “Prioritizing Renewable Energy Use with Neutrosophic AHP: A Tehran Case Study,” reflects his deep commitment to sustainable energy research and decision-making frameworks in urban environments. His coursework included Water & Wastewater Treatment, Air Pollution Control, Environmental Modeling, and Waste Management, providing him with a solid foundation in environmental engineering principles. He earned his Bachelor of Science in Civil Engineering from Islamic Azad University Tehran North Branch (IAUTNB) in 2020, with a 75% GPA. His undergraduate studies focused on structural analysis, geotechnical engineering, building technology, and transportation engineering, equipping him with a well-rounded understanding of civil engineering fundamentals. Throughout his academic career, he has been involved in applied research projects, laboratory analysis, and environmental impact assessments, further strengthening his technical expertise. His academic excellence and interdisciplinary approach to civil and environmental engineering set him apart as a promising researcher in sustainability and infrastructure development.

Professional Experience

Saman Solaimanian has diverse research and professional experience in environmental engineering, sustainability, and civil infrastructure projects. From 2023 to 2025, he worked as a Researcher at the Iranian Army Education Center, where he conducted studies on sustainable development, ESG framework implementation, HSE integration, and environmental mitigation strategies. His work involved waste management, environmental impact assessments, and renewable energy applications. In 2021–2022, he served as a Part-Time Civil Engineering Support at NPHO Builders Engineering Company, where he assisted in technical documentation, quantity take-offs, and site data collection. His role provided him with hands-on exposure to engineering software such as AutoCAD, ArcGIS, and ETABS, allowing him to refine his technical and analytical skills. In 2019, he conducted 300 hours of applied research at Tehran Province Water and Wastewater Company, focusing on water quality analysis, treatment optimization, and process enhancement techniques. This experience solidified his expertise in water management and environmental sustainability. Through these roles, he has developed a strong ability to apply research methodologies to real-world environmental challenges, bridging the gap between academic research and practical engineering solutions.

Research Interests

Saman Solaimanian’s research interests lie at the intersection of civil and environmental engineering, sustainability, and technological innovation. His primary focus areas include renewable energy prioritization, environmental risk assessment, sustainable construction materials, and circular economy models. He is particularly interested in leveraging AI and computational modeling for optimizing environmental engineering processes, including wastewater treatment, water resource management, and urban sustainability planning. His recent research explores the environmental risk assessment of construction projects in developing countries using analytical hierarchy processes (AHP). Additionally, he investigates air pollution dynamics, particularly the impact of urban heat islands and air inversion on public health. His interest in AI-driven environmental solutions has led to studies on constructed wetland optimization, drought forecasting, and decentralized water storage techniques. Saman is passionate about integrating sustainability into urban infrastructure and developing decision-support frameworks for policymakers to enhance environmental resilience. His research extends to climate change adaptation strategies, green building materials, and sustainable water management approaches, all of which align with global environmental goals and sustainable development initiatives.

Research Skills

Saman Solaimanian possesses a strong set of research skills that support his work in environmental engineering and sustainability. He is proficient in quantitative and qualitative research methodologies, including statistical analysis, environmental impact assessment, and risk evaluation techniques. His expertise in neutrosophic AHP and multi-criteria decision-making models allows him to analyze and prioritize sustainable development strategies effectively. He is skilled in engineering software, including AutoCAD, ArcGIS, ETABS, and SimaPro, which he uses for geospatial analysis, structural design, and environmental modeling. Additionally, his programming experience in MATLAB and Python enables him to develop computational models for environmental simulations, AI-driven decision-making, and predictive analytics. His laboratory experience includes water quality analysis, waste management strategies, and pollutant modeling, which he has applied in both academic and industry settings. He is also experienced in technical writing, grant proposal development, and peer-reviewed journal reviewing, making significant contributions to scientific discourse in environmental engineering.

Awards and Honors

Saman Solaimanian has received recognition for his academic and research contributions in the field of environmental and civil engineering. In 2025, he was awarded a Certificate of Excellence in Reviewing by the International Journal of Environment and Climate Change, highlighting his commitment to academic integrity and peer review contributions. His research has been published in high-impact journals and presented at international conferences, including the International Congress on Civil Engineering, Architecture, and Building Materials (Finland), the International Conference on Recent Advances in Engineering, Innovation, and Technology (Belgium), and the International Congress of Developing Agriculture, Natural Resources, and Environment (Iran). He has collaborated on multiple research projects related to sustainability, renewable energy, and water management, earning recognition from the academic community and environmental organizations. His contributions to urban sustainability planning, climate change adaptation, and AI-driven environmental solutions continue to enhance his professional standing in sustainable infrastructure development.

Conclusion

Saman Solaimanian is an emerging leader in environmental and civil engineering research, with a strong academic foundation, hands-on experience, and a passion for sustainability. His research contributions in renewable energy, waste management, and AI-driven environmental solutions demonstrate his commitment to addressing global sustainability challenges. His technical expertise, publication record, and international collaborations position him as a valuable contributor to the scientific community. While he has made significant strides in environmental research, increasing his peer-reviewed journal publications, securing research grants, and expanding international collaborations would further elevate his profile. With continued professional growth, interdisciplinary collaborations, and technological advancements, he is poised to make substantial contributions to global environmental sustainability and infrastructure resilience.

Publications Top Notes

  1. Title: Environmental risk assessment of concrete construction projects in developing countries based on Analytical Hierarchy Process method
    Author: Saman Solaimanian
    Year: 2025

  2. Title: Prioritizing The Sustainable Development Of Strategic Infrastructures Using The Analytic Hierarchy Process: A Case Study Of Iran
    Author: Saman Solaimanian
    Year: 2023

  3. Title: Prioritizing the possibility of using Renewable Energies through the application of Neutrosophic AHP (NAHP): A case study of Tehran
    Author: Saman Solaimanian
    Year: 2023

 

Saverio Cinti | Medicine and Dentistry | Best Researcher Award

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Prof. Dr. Saverio Cinti | Medicine and Dentistry | Best Researcher Award

Scientific Director of the Obesity Center of the Polytechnic University of Marche from Polytechnic University of Marche, Italy

Prof. Saverio Cinti is a distinguished researcher and academic in the field of obesity, adipose tissue physiology, and human anatomy. With over 35 years of experience in medical research and education, he has made groundbreaking contributions to the understanding of fat biology, metabolism, and obesity-related disorders. He has served as a Full Professor of Human Anatomy at Marche Polytechnic University and is currently the Scientific Director of the Obesity Center at the same institution. His prolific research output includes over 340 peer-reviewed publications, with an impressive H-index of 87 and 37,585 citations (Scopus), demonstrating his global influence in the scientific community. He has also authored books, contributed to over 20 book chapters, and holds multiple patents in the field of metabolic diseases. Prof. Cinti has been an invited speaker at prestigious institutions, including Harvard, Columbia, NIH, and the European Congress of Endocrinology. His contributions have been recognized with prestigious awards, such as the Blaise Pascal Medal and the Friedrich Wassermann Prize. As a pioneer in adipose tissue research, his work continues to shape the future of obesity treatment and metabolic health on an international scale.

Professional Profile

Education

Prof. Saverio Cinti’s academic journey began with a Doctor of Medicine (MD) degree from the University of Padua in 1974. He then pursued specialization in Internal Medicine at the University of Verona (1979) and Surgical Pathology at the University of Milan (1982). His advanced training provided him with a strong foundation in human anatomy, cellular biology, and pathology, which later became central to his research on obesity and adipose tissue. Over the years, he has continuously expanded his expertise, engaging in multidisciplinary medical research and international collaborations. His education has been complemented by extensive teaching experience, particularly in anatomy, histology, and obesity-related metabolic studies. His deep understanding of human anatomy and pathology has allowed him to bridge the gap between basic research and clinical applications. His affiliation with global institutions, including the University of Copenhagen and the University of Bonn, further highlights his role as a leading educator and researcher in the field. His academic background, combined with his dedication to continuous learning, has positioned him as a key figure in obesity and metabolic disorder research.

Professional Experience

Prof. Cinti has held several prominent academic and research positions over the past four decades. From 1984 to 2020, he was the Head of the Anatomy and Cell Biology Unit at the Department of Experimental and Clinical Medicine at Marche Polytechnic University. He served as a Full Professor of Human Anatomy from 1986 to 2020, where he played a crucial role in shaping medical education. His leadership extends beyond academia, as he has also been the Director of the Obesity Center at Marche Polytechnic University since 2011 and the Scientific Director of the Obesity Center since 2020. His international experience includes being an Affiliated Professor at the University of Copenhagen and a Distinguished Professor Emeritus at the University of Bonn. Additionally, he has served as the President of the Italian Society of Obesity (SIO) from 2008 to 2010. His long-standing involvement in clinical research and academic leadership has significantly contributed to advancements in obesity and adipose tissue research. His career is marked by extensive grant funding (~€2.5 million), numerous high-impact publications, and collaborative efforts in obesity and metabolic disease research.

Research Interest

Prof. Cinti’s research primarily focuses on adipose tissue biology, obesity mechanisms, and metabolic disorders. His work has provided crucial insights into the function, differentiation, and plasticity of adipocytes, particularly in relation to metabolic diseases such as diabetes and obesity. He has extensively studied the role of white, brown, and beige adipose tissue in energy metabolism and thermogenesis. His research also explores the cellular and molecular mechanisms of fat storage, lipid metabolism, and the impact of obesity on systemic health. A key aspect of his work involves understanding how adipose tissue dysfunction contributes to metabolic syndrome, cardiovascular diseases, and inflammation-related disorders. He has been actively involved in translational research, bridging laboratory discoveries with potential clinical applications for obesity treatment. His studies on leptin, irisin, and adipose-derived stem cells have contributed to the development of innovative therapies for metabolic diseases. Additionally, his research extends to regenerative medicine, focusing on adipose tissue engineering for tissue repair and renewal. His contributions continue to shape obesity research, paving the way for novel therapeutic approaches and a better understanding of adipose tissue biology.

Research Skills

Prof. Cinti possesses a diverse range of research skills, making him a leading authority in obesity and adipose tissue studies. He is highly skilled in electron microscopy, histological analysis, and molecular biology techniques, which he has used to investigate the structure and function of adipose tissues. His expertise in cellular and molecular biology has allowed him to make groundbreaking discoveries regarding adipocyte differentiation and metabolic regulation. He is proficient in animal models of obesity, metabolic syndrome, and diabetes, enabling him to conduct preclinical research on obesity treatments. His work also involves biochemical assays, gene expression analysis, and imaging techniques to study fat metabolism and energy homeostasis. Additionally, he has experience in clinical research methodologies, including patient-based studies on obesity, metabolic disorders, and regenerative medicine. His strong background in scientific writing and peer reviewing has led to contributions in top-tier journals such as Nature, Science, and Cell Metabolism. His ability to integrate basic science with clinical applications has made him a pioneer in translational obesity research.

Awards and Honors

Prof. Cinti has received numerous prestigious awards in recognition of his contributions to obesity research. In 2008, he was awarded the Blaise Pascal Medal by the European Academy of Science, a prestigious honor for his pioneering work in metabolic diseases. In 2013, he received the Friedrich Wassermann Prize from the European Association for the Study of Obesity (EASO), further highlighting his impact on obesity research. He has also been honored as a Distinguished Professor Emeritus at the University of Bonn and has been a plenary speaker at international conferences, including Harvard, Columbia University, and the European Congress of Endocrinology. He has served as a peer reviewer for leading journals such as Science, Nature, and Cell Metabolism, further cementing his reputation as a global expert in obesity and metabolic disorders. His extensive contributions have also been recognized through significant research funding (~€2.5 million over the last decade) and multiple patents related to obesity treatment and metabolic health. These awards and honors reflect his exceptional influence in the scientific community.

Conclusion

Prof. Saverio Cinti is an internationally renowned researcher whose groundbreaking work in obesity and adipose tissue biology has significantly advanced the field. With an illustrious career spanning over four decades, he has contributed extensively through research, education, and leadership roles. His vast publication record, high citation impact, and numerous awards showcase his global influence. His research has led to new insights into fat metabolism, obesity treatment, and regenerative medicine, positioning him at the forefront of translational obesity research. His commitment to scientific excellence, combined with his mentorship and leadership roles, has inspired countless researchers worldwide. Moving forward, expanding interdisciplinary collaborations, integrating emerging technologies, and increasing public outreach could further enhance his already significant impact. Prof. Cinti’s contributions make him a strong candidate for the Best Researcher Award, reflecting his exceptional dedication to scientific progress and medical innovation.

Publications Top Notes

  • Title: A PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis
    Authors: P. Boström, J. Wu, M.P. Jedrychowski, A. Korde, L. Ye, J.C. Lo, K.A. Rasbach, …
    Year: 2012
    Citations: 5879

  • Title: Mechanisms controlling mitochondrial biogenesis and respiration through the thermogenic coactivator PGC-1
    Authors: Z. Wu, P. Puigserver, U. Andersson, C. Zhang, G. Adelmant, V. Mootha, …
    Year: 1999
    Citations: 4936

  • Title: Adipocyte death defines macrophage localization and function in adipose tissue of obese mice and humans
    Authors: S. Cinti, G. Mitchell, G. Barbatelli, I. Murano, E. Ceresi, E. Faloia, S. Wang, …
    Year: 2005
    Citations: 3248

  • Title: Reduction of macrophage infiltration and chemoattractant gene expression changes in white adipose tissue of morbidly obese subjects after surgery-induced weight loss
    Authors: R. Cancello, C. Henegar, N. Viguerie, S. Taleb, C. Poitou, C. Rouault, …
    Year: 2005
    Citations: 1498

  • Title: Prdm16 determines the thermogenic program of subcutaneous white adipose tissue in mice
    Authors: P. Seale, H.M. Conroe, J. Estall, S. Kajimura, A. Frontini, J. Ishibashi, P. Cohen, …
    Year: 2011
    Citations: 1482

  • Title: Defects in adaptive energy metabolism with CNS-linked hyperactivity in PGC-1α null mice
    Authors: J. Lin, P.H. Wu, P.T. Tarr, K.S. Lindenberg, J. St-Pierre, C. Zhang, V.K. Mootha, …
    Year: 2004
    Citations: 1465

  • Title: The adipose organ
    Authors: S. Cinti
    Year: 2007
    Citations: 1161

  • Title: βAR signaling required for diet-induced thermogenesis and obesity resistance
    Authors: E.S. Bachman, H. Dhillon, C.Y. Zhang, S. Cinti, A.C. Bianco, B.K. Kobilka, …
    Year: 2002
    Citations: 1079

  • Title: Ablation of PRDM16 and beige adipose causes metabolic dysfunction and a subcutaneous to visceral fat switch
    Authors: P. Cohen, J.D. Levy, Y. Zhang, A. Frontini, D.P. Kolodin, K.J. Svensson, J.C. Lo, …
    Year: 2014
    Citations: 967

  • Title: The emergence of cold-induced brown adipocytes in mouse white fat depots is determined predominantly by white to brown adipocyte transdifferentiation
    Authors: G. Barbatelli, I. Murano, L. Madsen, Q. Hao, M. Jimenez, K. Kristiansen, …
    Year: 2010
    Citations: 948

  • Title: The presence of UCP1 demonstrates that metabolically active adipose tissue in the neck of adult humans truly represents brown adipose tissue
    Authors: M.C. Zingaretti, F. Crosta, A. Vitali, M. Guerrieri, A. Frontini, B. Cannon, …
    Year: 2009
    Citations: 915

  • Title: Dead adipocytes, detected as crown-like structures, are prevalent in visceral fat depots of genetically obese mice
    Authors: I. Murano, G. Barbatelli, V. Parisani, C. Latini, G. Muzzonigro, M. Castellucci, …
    Year: 2008
    Citations: 879

 

Jason Lin | Earth and Planetary Sciences | Best Researcher Award

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Mr. Jason Lin | Earth and Planetary Sciences | Best Researcher Award

 University of Illinois, Urbana-Champaign, United States.

Jason Tzu-Yao Lin is a dedicated Ph.D. candidate in Civil and Environmental Engineering at the University of Illinois, Urbana-Champaign (UIUC), specializing in river engineering and fluvial geomorphology. With a strong academic foundation, he holds a Master’s degree from the University of California, Berkeley, and a Bachelor’s from National Taiwan University, where he ranked first in his class. His research primarily focuses on understanding the dynamics of river systems, particularly the hydrodynamics and morphodynamics of meander chute cutoffs, dam removal effects, and particle transport in channel confluences. With a diverse skill set ranging from numerical modeling and fieldwork to laboratory experimentation, Jason’s work is aimed at improving ecological sustainability and informing water resource management. His leadership roles in various academic organizations complement his research expertise, making him a well-rounded professional in his field.

Professional Profile

Education:

Jason Tzu-Yao Lin’s educational journey demonstrates a strong commitment to understanding environmental systems and their dynamics. He is currently pursuing his Ph.D. in Civil and Environmental Engineering at the University of Illinois, Urbana-Champaign (UIUC), under the guidance of Professor Marcelo Garcia. Prior to this, Jason earned a Master’s degree in Civil and Environmental Engineering from the University of California, Berkeley, where he further honed his research and analytical skills. His undergraduate education at National Taiwan University (NTU) in Bioenvironmental System Engineering laid a solid foundation, with him graduating as the top student in his cohort. His academic journey was also enriched by an exchange program at the National University of Singapore, where he gained exposure to international perspectives in environmental engineering. His diverse and extensive academic background serves as the bedrock for his current and future contributions to river engineering and fluvial geomorphology.

Professional Experience:

Jason has an extensive professional background that combines research, fieldwork, and teaching. As a Research Assistant at UIUC since 2021, he has worked on several key projects, including studies on meander chute cutoffs, dam removal effects on river morphology, and particle transport in channel confluences. In addition to his academic contributions, Jason has been involved with the United States Geological Survey (USGS) as a Research Associate, where he played a crucial role in the Comprehensive Everglades Restoration Plan. His responsibilities included planning fieldwork, executing scientific experiments, and conducting data analysis to improve restoration strategies. Jason has also contributed to teaching, serving as a Teaching Assistant at both UIUC and UC Berkeley. His research experience and technical expertise make him a well-rounded professional, prepared to tackle complex challenges in the field of environmental engineering.

Research Interests:

Jason’s research interests lie at the intersection of hydrodynamics, morphodynamics, and ecosystem restoration. His work primarily focuses on understanding how water flow interacts with natural landscapes to shape river morphology. He is particularly interested in the hydrodynamic and morphodynamic processes that occur during meander chute cutoffs, where river channels shift direction. Jason also investigates the ecological consequences of these processes, such as the effects of low-head dam removal on river ecosystems. His ongoing research on particle motion in channel confluences and the use of 2D numerical models to simulate river restoration further emphasizes his commitment to applying scientific methods to real-world environmental challenges. By combining experimental, numerical, and fieldwork techniques, Jason seeks to bridge the gap between scientific knowledge and practical solutions in water resource management.

Research Skills:

Jason possesses a wide range of research skills that enable him to tackle complex problems in river engineering and environmental science. His proficiency in various programming languages such as Matlab, R, Python, and Fortran, combined with his expertise in using numerical modeling tools like OpenTelemac, allows him to simulate complex river and water systems with high accuracy. Jason’s fieldwork experience includes the use of specialized equipment like Acoustic Doppler Velocimeters and Particle Tracking Velocimetry to measure water flow and sediment transport. Additionally, his laboratory skills are complemented by his use of water quality multiparameter sondes and LISST devices for particle size analysis. His ability to integrate these advanced research methods with his analytical skills makes him an effective researcher capable of contributing to a wide variety of environmental projects.

Awards and Honors:

Throughout his academic career, Jason has earned several prestigious awards and honors that reflect his dedication to his studies and research. He was awarded the Taiwan-equivalent of the Fulbright Scholarship, the Scholarship from the Ministry of Education, Taiwan, for 2024-2026. This honor recognizes his outstanding academic achievements and potential for future contributions in the field. At National Taiwan University, he was consistently recognized for his excellence in academics, earning the Dean’s Award for Academic Achievement and ranking in the top 5% in multiple semesters. Additionally, his research work earned him a Research Fellowship from the Ministry of Science and Technology of Taiwan, where he contributed significantly to ecosystem service research in watershed management. These honors underscore his commitment to academic excellence and innovative research.

Conclusion:

Jason Tzu-Yao Lin’s academic journey, research experience, and professional accomplishments demonstrate his passion and dedication to advancing the field of river engineering and environmental science. His current Ph.D. research at UIUC, combined with his extensive experience in hydrodynamics, morphodynamics, and ecosystem restoration, positions him to make significant contributions to the field. Jason’s combination of strong technical skills, innovative research, and leadership experience equips him to tackle complex challenges in river management and restoration. With his work, Jason seeks to bridge the gap between scientific understanding and real-world applications, particularly in improving water resource management and ecosystem sustainability. His future work promises to continue making impactful contributions to environmental engineering, with an emphasis on practical, sustainable solutions.

Publications Top Notes

  1. Hydrodynamic Processes of Incipient Meander Chute Cutoffs: Laboratory Experiments With Implications for Morphodynamics and Depth-Averaged Modeling

    • Authors: Jason T.‐Y. Lin, Esteban Lacunza, Roberto Fernández, Marcelo H. García, Bruce Rhoads, Jim Best, Jessica Z. LeRoy, Gary Parker
    • Year: 2025

  2. Hydrodynamic Processes of Incipient Meander Chute Cutoffs: Laboratory Experiments with Implications for Morphodynamics and Depth-Averaged Modeling

    • Authors: Jason Tzu-Yao Lin, Esteban Lacunza, Roberto Fernández, Marcelo H. García, Bruce L. Rhoads, James L. Best, Jessica Zinger LeRoy, Gary Parker
    • Year: 2025

  3. Hydrodynamic Processes of Incipient Meander Chute Cutoffs: Laboratory Experiments with Implications for Morphodynamics and Depth-Averaged Modeling

    • Authors: Jason Tzu-Yao Lin, Esteban Lacunza, Roberto Fernández, Marcelo H. García, Bruce L. Rhoads, James L. Best, Jessica Zinger LeRoy, Gary Parker
    • Year: 2024

  4. Hydrodynamic Processes of Incipient Meander Chute Cutoffs: Implications for Morphodynamics and Depth-Averaged Modeling

    • Authors: Jason Tzu-Yao Lin, Esteban Lacunza, Roberto Fernández, Marcelo H. García, Bruce L. Rhoads, James L. Best, Jessica Zinger LeRoy, Gary Parker
    • Year: 2024

 

Mini Han Wang | Artificial Intelligence | Young Scientist Award

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Dr. Mini Han Wang | Artificial Intelligence | Young Scientist Award

Chinese University of Hong Kong, Hong Kong

Dr. Mini Han Wang is a distinguished senior researcher specializing in ophthalmology, artificial intelligence (AI) in medical imaging, and biomolecular pathways in ocular diseases. She holds dual Ph.D.s in Ophthalmology & Visual Sciences from The Chinese University of Hong Kong and Data Science from the City University of Macau, demonstrating her expertise in integrating medical research with AI-driven analytical techniques. Dr. Wang has made significant contributions to age-related macular degeneration (AMD) research, AI-based disease diagnostics, and precision medicine. She currently serves as a Senior Researcher at Zhuhai People’s Hospital, affiliated with the Beijing Institute of Technology and Jinan University, and Director of the Frontier Science Computing Center at the Chinese Academy of Sciences. Beyond research, she is an experienced lecturer, delivering courses on intelligent data mining, evidence-based medicine, and AI applications in healthcare. Her work is widely published in peer-reviewed journals, and she actively collaborates with leading academic and medical institutions. With a commitment to advancing medical AI technologies and personalized healthcare solutions, Dr. Wang stands out as a leading expert at the intersection of medicine and data science.

Professional Profile

Education

Dr. Mini Han Wang has pursued a multidisciplinary academic journey, combining medical sciences, engineering, and data science. She earned a Ph.D. in Ophthalmology & Visual Sciences from The Chinese University of Hong Kong (2022-2025), where her research focuses on AI-driven diagnostics and molecular mechanisms of retinal diseases. In parallel, she completed a Ph.D. in Data Science at the Institute of Data Science, City University of Macau (2020-2023), further enhancing her ability to develop AI-integrated solutions for medical applications. Before her doctoral studies, Dr. Wang completed an M.Sc. in Management (2016-2018) at City University of Macau, gaining insights into research administration and healthcare management. She also holds dual bachelor’s degrees from Jiangxi Science & Technology Normal University (2012-2016) in Internet of Things (IoT) Engineering and English Literature, showcasing her strong foundation in technology and global scientific communication. As an Outstanding Graduate Representative, her diverse educational background enables her to bridge the gap between medical research, AI innovation, and healthcare management, making her a pioneering figure in modern ophthalmic research.

Professional Experience

Dr. Wang’s professional journey is marked by leadership in research, teaching, and AI-driven medical advancements. She currently serves as a Senior Researcher at Zhuhai People’s Hospital, affiliated with Beijing Institute of Technology and Jinan University, where she leads projects on AI-based ophthalmic disease diagnosis and retinal molecular research. Additionally, she holds the position of Director of the Frontier Science Computing Center at the Chinese Academy of Sciences, overseeing cutting-edge AI applications in medicine and multi-omics data integration. Since 2018, Dr. Wang has collaborated with Shenzhen Institute of Advanced Technology and Zhuhai Institute of Advanced Technology, conducting research on medical imaging, knowledge graphs, and AI-driven predictive modeling. Her academic contributions include guest lectures at Beijing Institute of Technology, Jinan University, and Zhuhai Science & Technology Institute, focusing on intelligent data mining, evidence-based medicine, and AI in disease diagnosis. With her interdisciplinary expertise, Dr. Wang has played a key role in bridging fundamental research with clinical applications, contributing significantly to medical AI advancements and personalized treatment strategies.

Research Interest

Dr. Wang’s research revolves around three core areas: ophthalmology, AI in medical imaging, and biomolecular pathways in ocular diseases. Her primary focus is age-related macular degeneration (AMD) and retinal diseases, where she investigates molecular mechanisms, genetic variations, and metabolic dysregulation. She is also deeply involved in AI-driven predictive modeling to enhance early disease detection and precision therapeutics. In the field of medical imaging, she integrates multi-modal imaging techniques (OCT, UWF Fundus) with AI algorithms to improve retinal disease diagnostics and prognosis. Furthermore, her research extends to biomolecular analysis, where she studies oxidative stress, mitochondrial dysfunction, and complement system activation in ocular diseases. By combining multi-omics data, AI-driven drug discovery, and knowledge graph-driven ophthalmic AI systems, Dr. Wang aims to revolutionize personalized medicine and enhance treatment strategies for degenerative eye diseases.

Research Skills

Dr. Wang possesses a diverse and advanced skill set, allowing her to lead high-impact research in medical AI and ophthalmology. She specializes in AI-based predictive modeling, machine learning for medical imaging, and deep learning for disease classification. Her expertise in biomolecular analysis includes multi-omics data integration, pathway analysis, and molecular crosstalk identification for precision medicine applications. Dr. Wang is also proficient in data mining, statistical modeling, and computational biology, which are essential for her research on retinal diseases and AI-driven diagnostics. Additionally, she has hands-on experience with multi-modal imaging techniques (OCT, UWF, fundus photography) and their integration with AI-based disease detection frameworks. She is well-versed in academic writing, research methodology, and project management, with an extensive record of peer-reviewed publications and collaborative research projects. With these skills, Dr. Wang is able to bridge the gap between clinical research and AI-powered healthcare solutions, making her a leading figure in medical innovation.

Awards and Honors

Dr. Wang has received multiple recognitions for her outstanding research contributions and academic achievements. As an Outstanding Graduate Representative, she was acknowledged for her exceptional performance in data science and medical research. She has been the recipient of research grants and funding awards for her work in ophthalmic AI, biomolecular studies, and precision medicine. Her research on AMD and AI-driven diagnostics has earned recognition from international conferences and peer-reviewed journals. She has been invited as a keynote speaker and panelist at various scientific conferences, where she has shared insights on AI applications in medicine, multi-omics integration, and retinal disease research. Additionally, her collaborations with leading universities and medical institutions have led to numerous institutional awards for excellence in research and innovation. With a strong academic and professional track record, Dr. Wang continues to be recognized as a pioneering researcher at the forefront of AI-driven medical advancements.

Conclusion

Dr. Mini Han Wang is a leading researcher at the intersection of ophthalmology, AI, and biomolecular analysis, making groundbreaking contributions to AMD research, AI-driven diagnostics, and precision medicine. Her multidisciplinary expertise in medical science, data analytics, and computational biology allows her to develop innovative solutions for early disease detection and personalized treatment strategies. As a senior researcher, director, and academic lecturer, she has demonstrated leadership in both research and education, mentoring young scientists and collaborating with top-tier institutions. Her work in AI-integrated ophthalmology and molecular disease modeling is shaping the future of medical research and healthcare technology. While further global collaborations, large-scale clinical applications, and expanded research beyond AMD

Publications Top Notes

  • Title: Place attachment to pseudo establishments: An application of the stimulus-organism-response paradigm to themed hotels
    Authors: J. Sun, P.J. Chen, L. Ren, E.H.W. Shih, C. Ma, H. Wang, N.H. Ha
    Year: 2021
    Citations: 86

  • Title: The effect of online investor sentiment on stock movements: an LSTM approach
    Authors: G. Wang, G. Yu, X. Shen
    Year: 2020
    Citations: 43

  • Title: Big data and predictive analytics for business intelligence: A bibliographic study (2000–2021)
    Authors: Y. Chen, C. Li, H. Wang
    Year: 2022
    Citations: 33

  • Title: AI-based advanced approaches and dry eye disease detection based on multi-source evidence: Cases, applications, issues, and future directions
    Authors: M.H. Wang, L. Xing, Y. Pan, F. Gu, J. Fang, X. Yu, C.P. Pang, K.K.L. Chong
    Year: 2024
    Citations: 32

  • Title: Artificial intelligence in ophthalmopathy and ultra-wide field image: A survey
    Authors: J. Yang, S. Fong, H. Wang, Q. Hu, C. Lin, S. Huang, J. Shi, K. Lan, R. Tang
    Year: 2021
    Citations: 29

  • Title: Research on data security in big data cloud computing environment
    Authors: F. Wang, H. Wang, L. Xue
    Year: 2021
    Citations: 27

  • Title: An explainable artificial intelligence-based robustness optimization approach for age-related macular degeneration detection based on medical IoT systems
    Authors: M.H. Wang, K.K. Chong, Z. Lin, X. Yu, Y. Pan
    Year: 2023
    Citations: 26

  • Title: Applications of explainable artificial intelligent algorithms to age-related macular degeneration diagnosis: A case study based on CNN, attention, and CAM mechanism
    Authors: M. Wang, Z. Lin, J. Zhou, L. Xing, P. Zeng
    Year: 2023
    Citations: 13

  • Title: Metamaterials design method based on deep learning database
    Authors: X. Zhou, Q. Xiao, H. Wang
    Year: 2022
    Citations: 10

  • Title: A YOLO-based method for improper behavior predictions
    Authors: M. Wang, Y. Zhao, Q. Wu, G. Chen
    Year: 2023
    Citations: 9

Mohamed Said Hassan | Health Professions | Best Researcher Award

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Mr. Mohamed Said Hassan | Health Professions | Best Researcher Award

Researcher from Amoud University, Somalia

Mohamed Said Hassan is an accomplished public health and nutrition specialist with extensive experience in research, academia, and healthcare. His expertise spans multiple disciplines, including epidemiology, biochemistry, infectious diseases, and nutrition. He has served as a lecturer, researcher, and research supervisor in various institutions, including Amoud University, Horn International University, Gollis University, and Tima-ade University. With a passion for improving public health outcomes, he has conducted numerous studies on vaccination uptake, tuberculosis treatment adherence, hypertension management, and the prevalence of malaria. His ability to conduct community-based research, publish in peer-reviewed journals, and mentor students highlights his dedication to academic excellence and scientific advancement. In addition to his teaching and research experience, he has undergone professional training in food security, leadership in infection control, project management, and communication skills. His proficiency in multiple languages, including English, Somali, and Arabic, further enhances his ability to engage in international collaborations. Mohamed is a hardworking, analytical, and goal-oriented professional who strives to contribute to evidence-based public health policies. His dedication to research, education, and community health interventions makes him a valuable asset to both academic and healthcare institutions.

Professional Profile

Education

Mohamed Said Hassan has a strong academic background in public health and tropical infectious diseases. He is currently pursuing a Master of Science in Tropical Infectious Diseases at Haramaya University in Ethiopia, further advancing his expertise in epidemiology and disease prevention. Prior to this, he completed a Master of Public Health (MPH) at Amoud University in 2019 with a GPA of 3.2. His postgraduate studies equipped him with the skills necessary to analyze, design, and implement public health interventions. In 2009, he earned his Bachelor’s degree in Science from Amoud University, achieving an impressive GPA of 3.64. His undergraduate and postgraduate education have provided him with a solid foundation in research, data analysis, and evidence-based healthcare practices. Throughout his academic journey, he has continuously expanded his knowledge through professional training programs in food security, project management, and infectious disease control, offered by organizations such as WHO, UNICEF, and the African Academy. His educational background, combined with his research experience, has prepared him to address complex public health challenges, making him a well-rounded professional in the field of global health and epidemiology.

Professional Experience

Mohamed Said Hassan has accumulated extensive teaching, research, and public health experience across multiple institutions. Since March 2024, he has been working as a researcher at Amoud University, conducting community-based research and publishing scientific papers based on medical students’ theses. From 2018 to 2023, he served as a lecturer and research supervisor at Horn International University, where he trained students in research methodology, data collection, and analysis. His role also involved teaching courses in public health, nutrition, biochemistry, and organic chemistry. Additionally, he worked as a Public Health and Nutrition Instructor at the University of Buroa (2020-2021) and Gollis University (2021-2023), delivering lectures on epidemiology, communicable diseases, and nutrition intervention strategies. Currently, he is a Biology and Chemistry Instructor at Tima-ade University in Hargeisa, where he teaches courses such as botany, biochemistry, and organic chemistry. His ability to mentor students, design research guidelines, and conduct data-driven studies demonstrates his leadership in academia. His professional experience reflects his dedication to enhancing research capacity, improving public health education, and contributing to medical advancements.

Research Interest

Mohamed Said Hassan’s research interests focus on public health, epidemiology, infectious diseases, immunization, and nutrition science. His studies investigate the determinants of vaccination uptake, factors affecting tuberculosis treatment adherence, and the prevalence of malaria in developing countries. His work on exclusive breastfeeding practices, child nutrition, and hypertension management demonstrates his commitment to improving maternal and child health. Additionally, he is interested in exploring noncommunicable diseases, health system strengthening, and disease prevention strategies. His passion for evidence-based healthcare interventions is evident in his research on food security, infant and youth feeding programs, and communicable disease prevention. By collaborating with healthcare professionals and policymakers, he aims to bridge the gap between research findings and practical health solutions. His long-term goal is to contribute to global health initiatives, improve healthcare access in underserved communities, and develop strategies to enhance public health education. Through his diverse research portfolio, he strives to address critical health challenges and implement sustainable interventions that promote community well-being.

Research Skills

Mohamed Said Hassan possesses a strong set of research skills that allow him to conduct high-quality, data-driven studies. He is proficient in quantitative and qualitative research methodologies, data collection, and statistical analysis. His experience in survey design, questionnaire development, and field data collection has enabled him to conduct extensive community-based research. He is skilled in using statistical software for data analysis, ensuring accuracy and reliability in his findings. Additionally, he has expertise in literature reviews, systematic analysis, and report writing, which are essential for publishing in peer-reviewed journals. His ability to mentor students, develop research guidelines, and oversee thesis projects further highlights his leadership in academic research. Mohamed also has experience in grant writing and proposal development, which are crucial for securing research funding. His strong analytical and critical thinking skills allow him to interpret complex datasets and draw meaningful conclusions that contribute to public health policy and practice. His research skills make him a highly capable scientist committed to advancing knowledge in epidemiology, nutrition, and disease prevention.

Awards and Honors

While Mohamed Said Hassan has not received major research awards, his academic and professional contributions have earned him recognition in public health and academia. His work as a lecturer, researcher, and mentor has helped shape the next generation of public health professionals. His research publications in high-impact journals such as Plos One, BMC Primary Health Care, and Health Science Report highlight his academic excellence. His participation in training programs by WHO, UNICEF, and the African Academy reflects his commitment to professional development. While he has not received international research grants, his contributions to immunization, tuberculosis treatment, and child health research demonstrate his impact on public health advancement. To further strengthen his profile, he can apply for research fellowships, secure competitive grants, and collaborate with global institutions. His dedication to scientific research, mentorship, and healthcare improvement makes him a valuable candidate for future honors and awards.

Conclusion

Mohamed Said Hassan is a highly skilled researcher, academic, and public health specialist with a strong background in epidemiology, infectious diseases, and nutrition science. His extensive teaching experience, research publications, and professional training make him an asset to the field of public health research and education. His ability to mentor students, conduct community-based studies, and contribute to scientific literature highlights his dedication to improving healthcare systems and disease prevention strategies. While he has made significant contributions, expanding his work through international collaborations, securing research grants, and gaining global recognition will further strengthen his impact. His passion for evidence-based healthcare solutions and public health education makes him an ideal candidate for future research awards and leadership roles in the academic and public health sectors.

Publications Top Notes

  1. Title: Challenges for influencing exclusive breastfeeding practice among lactating mothers with infants aged 0–6 months in Borama District, Somaliland: A cross‐sectional study
    Authors: MS Hassan, MM Hossain
    Year: 2023
    Citations: 3

  2. Title: Craniopharyngioma in young female patient occurring after ovarian teratoma removal–A case report
    Authors: AI Said, M Abdulahi, MS Hassan, IH Ismail, AH Ahmed
    Year: 2025

  3. Title: Elbow interposition arthroplasty in a young adult: A case report
    Authors: YB Ibrahim, D Turan, M Kayse, M Abdulahi, MS Hassan, AI Said
    Year: 2025

  4. Title: Exclusive Breastfeeding Practices Among Somali Children: A Scoping Review
    Authors: MS Hassan, M Abdulahi, M Boqore
    Year: 2025

  5. Title: Sanitation Facilities in Somali Households: Evidence From a Multilevel Analysis of the 2020 Health and Demographic Survey
    Authors: MY Dahir, MS Hassan, MM Hossain
    Year: 2025

  6. Title: Factors Affecting Vaccine Cold Chain Management Practices in Public Health Facilities in Hargeisa, Somaliland
    Authors: HM Dahir, JO Osiri, MS Hassan, AH Korse, KA Ibrahim
    Year: 2025

  7. Title: Determinants of vaccination status among Somali children: evidence from a Countrywide cross-sectional survey
    Authors: MS Hassan, MM Hossain
    Year: 2024

  8. Title: Factors Affecting Utilization of Health Care Services among Nasahblood and Ayah 4 Internally Displaced Persons in Hargeisa Somaliland
    Authors: AH Korse, V Okoth, MS Hassan, HM Dahir, KA Ibrahim
    Year: 2024

  9. Title: Assessment of Knowledge, Attitude and Practice About Exclusive Breastfeeding Among Mothers Attending M. Mooge MCH Clinic, Hargeisa, Somaliland
    Authors: MI Ismail, MS Hassan, MA Mouse, HH Mohamed, HS Ahmed, NM Ali

Kiran Batool | Materials Science | Best Researcher Award

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Dr. Kiran Batool | Materials Science | Best Researcher Award

Researcher from Physics Department, Pakistan

Dr. Kiran Batool is a dedicated researcher and academic specializing in nanomaterials, electrochemical energy storage, and environmental applications. With a robust research portfolio featuring 37 publications in high-impact journals, she has made significant contributions to material synthesis and characterization techniques. Her expertise extends to developing advanced materials for supercapacitors, batteries, and catalysts. Dr. Batool possesses strong teaching and mentorship experience, having instructed both undergraduate and graduate students in various physics courses. She has also served as a research associate, contributing to multiple interdisciplinary projects. Her commitment to innovation and sustainability drives her research in energy-efficient and environmentally friendly material applications. With a deep understanding of analytical and experimental techniques, she remains at the forefront of cutting-edge scientific advancements in her field.

Professional Profile

Education

Dr. Kiran Batool has pursued an extensive academic journey, equipping her with a strong foundation in physics and materials science. She completed her Ph.D. in Physics with a specialization in nanomaterials and energy storage applications. Prior to that, she earned an M.Phil. in Physics, focusing on advanced material characterization techniques. Her bachelor’s degree laid the groundwork for her expertise in fundamental physics and material properties. Throughout her academic career, she has remained engaged in research-intensive programs, allowing her to develop a deep understanding of electrochemical energy storage systems, catalysis, and sustainable materials. Her education has provided her with the theoretical knowledge and practical skills necessary to excel in both research and academia. Dr. Batool’s continuous pursuit of knowledge and innovation has made her a respected figure in the scientific community.

Professional Experience

Dr. Kiran Batool has accumulated extensive professional experience in both research and teaching roles. As a research associate, she contributed to various interdisciplinary projects focused on nanomaterial synthesis and energy storage applications. Her role involved conducting experimental research, analyzing data, and collaborating with fellow researchers to advance scientific knowledge. Additionally, Dr. Batool has served as a visiting lecturer, teaching undergraduate and graduate students in physics-related courses. She has supervised student research projects and provided mentorship to aspiring scientists. Her experience extends to laboratory management, experimental design, and technical troubleshooting. Dr. Batool’s dedication to education and research has enabled her to bridge the gap between theoretical knowledge and practical applications. Her contributions to academia and research institutions highlight her ability to work in dynamic environments while fostering scientific innovation.

Research Interests

Dr. Kiran Batool’s research interests lie in the development and characterization of advanced nanomaterials for energy and environmental applications. She is particularly focused on electrochemical energy storage systems, including supercapacitors and batteries, where she explores novel material compositions for enhanced performance. Her work also extends to catalysis, investigating sustainable materials for environmental remediation. Dr. Batool is deeply involved in the synthesis of nanostructured materials using techniques such as hydrothermal, sol-gel, and solvothermal methods. She is keen on integrating experimental and computational approaches to optimize material properties. Her research aims to contribute to the advancement of green energy solutions and environmentally friendly materials. By exploring innovative synthesis techniques and material functionalities, she seeks to develop next-generation energy storage devices that are both efficient and sustainable.

Research Skills

Dr. Kiran Batool possesses a diverse range of research skills that contribute to her excellence in material science and energy research. Her expertise includes nanomaterial synthesis through hydrothermal, sol-gel, and solvothermal techniques. She is proficient in material characterization methods such as X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and Raman spectroscopy. Dr. Batool is also skilled in electrochemical analysis, including cyclic voltammetry and electrochemical impedance spectroscopy. Her ability to integrate various experimental techniques allows her to conduct in-depth analyses of material properties. Additionally, she has experience in data analysis, statistical modeling, and research project management. Her technical proficiency, combined with her strong analytical skills, enables her to conduct high-impact research that contributes to scientific advancements in energy storage and catalysis.

Awards and Honors

Dr. Kiran Batool has received multiple recognitions for her contributions to scientific research and academia. She has been acknowledged for her high-impact publications and significant advancements in nanomaterial synthesis and characterization. Her research on electrochemical energy storage has been cited extensively, highlighting its relevance in the field. Dr. Batool has also been honored for her teaching excellence, receiving commendations from academic institutions for her dedication to student mentorship and education. Additionally, she has participated in several international conferences and research symposiums, where her work has been recognized by peers and experts in the field. Her commitment to advancing scientific knowledge and her contributions to sustainable energy solutions continue to earn her accolades in the academic and research communities.

Conclusion

Dr. Kiran Batool stands out as a distinguished researcher and academic with a strong background in nanomaterials, energy storage, and material characterization. Her extensive research output, combined with her technical proficiency and teaching experience, makes her a valuable asset to the scientific community. She continues to push the boundaries of innovation, focusing on sustainable and efficient energy solutions. With expertise spanning experimental research, data analysis, and mentorship, she exemplifies excellence in academia and applied sciences. Dr. Batool’s dedication to research and education ensures that her contributions will have a lasting impact on the fields of material science and renewable energy. Her growing recognition and commitment to scientific progress make her a strong candidate for prestigious research awards and honors.

Publications Top Notes

  1. Sustainable Synthesis and Electrochemical Characterization of Ti₃C₂/Fe₁₋ₓBaₓCr₂O₄ Nanocomposite for Enhanced Supercapacitor Electrode Performance

    • Authors: Kiran Batool, Adel A. El-Marghany, Muhammad Usman Saeed
    • Year: 2025

  2. Bandgap Nature Transition and the Optical Properties of ABX₃ (A = K, Rb; B = Sr, Ba, Ca; X = Cl, Br, I) Perovskites Under Pressure

    • Authors: Mohib Ullah, Naqeeb Ullah, Ammar M. Tighezza, Kiran Batool, Ghulam M. Murtaza
    • Year: 2025
    • Citations: 2

  3. Electrifying Energy Storage by Investigating the Electrochemical Behavior of CoCr₂O₄/Graphene-Oxide Nanocomposite as Supercapacitor High-Performance Electrode Material

    • Authors: Rubia Shafique, Malika M. Rani, Naveed Kasuar Janjua, Mariam Akram, Akram A. Ibrahim
    • Year: 2024

 

 

Jian-gang Guo | Materials Science | Best Researcher Award

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Prof. Dr. Jian-gang Guo | Materials Science | Best Researcher Award

Professor at Institute of Physics Chinese Academy of Sciences: Chinese Academy of Sciences Institute of Physics, China

Jian-gang Guo is a renowned physicist specializing in condensed matter physics, particularly in superconductivity and magnetic materials. He is a Full Professor at the Institute of Physics, Chinese Academy of Sciences (IOP, CAS). His research has significantly contributed to understanding strongly electron-correlated systems, with a focus on superconducting materials. One of his most notable achievements is the discovery of KxFe2Se2 high-temperature superconductors, which opened a new research field and gained worldwide recognition. He has published 118 papers in prestigious journals such as Nature, Nature Chemistry, Nature Communications, and Physical Review Letters. His work has had a profound impact on materials science and has inspired extensive global research. Additionally, he has successfully developed cubic silicon carbide (SiC) single crystals applicable for mass production. His contributions have earned him several prestigious awards, including the Second Prize of the State Natural Science Award of China. With international experience from institutions such as Rice University and the Tokyo Institute of Technology, he has established himself as a leader in superconductivity research. His innovative discoveries, extensive publication record, and international collaborations position him as a highly influential figure in modern condensed matter physics.

Professional Profile

Education

Jian-gang Guo has an extensive academic background in condensed matter and solid-state physics. He earned his Ph.D. in Condensed Matter Physics from the Institute of Physics, Chinese Academy of Sciences (IOP, CAS) in 2011. His doctoral research focused on the properties of electron-correlated materials, particularly superconductors. Prior to his Ph.D., he completed an M.S. in Condensed Matter Physics in 2008 at the State Key Laboratory of Superhard Materials, Jilin University, China. During his master’s studies, he gained expertise in high-pressure physics and material synthesis techniques. He obtained his B.S. in Solid-State Physics from the Department of Physics, Jilin University, in 2005. His undergraduate studies laid the foundation for his later work in electronic materials and crystallography. Throughout his academic journey, he has developed a strong theoretical and experimental background in superconductivity, transport properties, and magnetic interactions. His education at top institutions in China provided him with a solid platform to contribute significantly to the field of condensed matter physics. His ability to integrate fundamental physics with experimental discoveries has made him a key figure in the study of superconducting and magnetic materials.

Professional Experience

Jian-gang Guo has held several prominent academic and research positions in leading institutions worldwide. He is currently a Full Professor at the Institute of Physics, Chinese Academy of Sciences (IOP, CAS), a position he has held since September 2020. Before that, he was an Associate Professor at IOP, CAS, from 2016 to 2020, contributing to advancements in superconductivity and quantum materials. From 2014 to 2016, he was an ICAM Postdoctoral Fellow at the Department of Physics & Astronomy at Rice University, working in Prof. Pengcheng Dai’s group on neutron diffraction studies of magnetic materials. Between 2011 and 2014, he worked as a Postdoctoral Researcher at the Frontier Research Center, Tokyo Institute of Technology, under Prof. Hideo Hosono, where he expanded his expertise in novel superconducting materials. His career has been marked by international collaborations, interdisciplinary research, and groundbreaking discoveries in the field of condensed matter physics. His professional experience has allowed him to develop a strong research network and contribute significantly to both experimental and theoretical advancements in strongly correlated electronic systems.

Research Interests

Jian-gang Guo’s research primarily focuses on the physical properties of strongly electron-correlated systems, including superconductors and magnetic materials. His work involves techniques such as x-ray and neutron diffraction, low-temperature transport measurements, and theoretical modeling. He is particularly interested in exploring the relationship between crystallographic structures and electronic properties in new functional materials. One of his most significant contributions is the discovery of KxFe2Se2 high-temperature superconductors, which led to the development of a new class of alkali-metal intercalated FeSe superconductors. His research has also extended to the growth of bulk cubic silicon carbide (SiC) single crystals using high-temperature solution methods, making them suitable for industrial applications. His interests further include studying charge density waves, metal-insulator transitions, and novel quantum materials. By combining experimental and theoretical approaches, he aims to develop new materials with unique electronic and magnetic properties. His work continues to drive advancements in fundamental physics while also providing potential applications in energy storage, quantum computing, and semiconductor industries.

Research Skills

Jian-gang Guo possesses a diverse set of research skills that enable him to make significant contributions to condensed matter physics. His expertise includes x-ray and neutron diffraction techniques, which he utilizes to investigate the structural and electronic properties of superconductors and magnetic materials. He is skilled in low-temperature transport measurements, allowing him to analyze the electrical and thermal behavior of materials under extreme conditions. His experience in growing high-quality single crystals, including superconducting and semiconducting materials, has been instrumental in developing new materials for both fundamental and applied research. Additionally, he has a strong background in theoretical calculations, enabling him to model electronic structures and magnetic interactions in complex systems. His ability to integrate experimental and computational methods has allowed him to uncover new physical phenomena in strongly correlated materials. Furthermore, his experience with high-pressure synthesis techniques has contributed to the discovery of novel superconducting and magnetic materials. His research skills have been critical in advancing knowledge in condensed matter physics and developing materials with real-world applications.

Awards and Honors

Jian-gang Guo has received several prestigious awards in recognition of his outstanding contributions to condensed matter physics. In 2020, he was awarded the Second Prize of the State Natural Science Award of the People’s Republic of China, one of the highest honors for scientific research in the country. This award recognized his pioneering work on alkali-metal intercalated FeSe superconductors. In 2022, he received the Second Prize of the Beijing Municipal Natural Science Prize, highlighting his impact on superconductivity research. Additionally, he was honored with the CAS Science and Technology Promotion Development Award in 2021 for his contributions to material synthesis and characterization. His research has been widely acknowledged, with his work on high-temperature superconductors being selected as a Milestone Paper for the 50th Anniversary of Physical Review B. These accolades reflect his significant influence on the scientific community and his role in advancing the understanding of strongly correlated electron systems. His continued contributions to superconductivity and novel materials research further solidify his reputation as a leading figure in his field.

Conclusion

Jian-gang Guo is a distinguished researcher whose work has had a transformative impact on condensed matter physics. His discovery of KxFe2Se2 high-temperature superconductors has influenced global research, inspiring over 300 teams worldwide. With 118 publications in top-tier journals and numerous prestigious awards, he has established himself as a leader in superconductivity and materials science. His ability to integrate experimental and theoretical approaches has led to the discovery of novel quantum materials and superconducting compounds. His contributions extend beyond fundamental research, as demonstrated by his work on silicon carbide single crystals, which have industrial applications. His extensive international collaborations, research skills, and ability to mentor young scientists further strengthen his profile. While his work has already made significant contributions to physics, expanding interdisciplinary research into quantum computing, energy materials, and industrial partnerships could further enhance his influence. His achievements, dedication, and pioneering discoveries make him a strong candidate for the Best Researcher Award. His continued research is expected to shape the future of superconductivity, quantum materials, and electronic devices for years to come.

Publications Top Notes

  1. Modeling and Suppressing Interfacial Instability in Growth of SiC from High-Temperature Solutions

    • Authors: Sheng Da, Wang Guobin, Yang Yunfan, Wang Wenjun, Chen Xiaolong
    • Year: 2025

  2. Size-Effect Enriched Phase Diagram in p-Type Skutterudite Superconductor Ir₃.₈Sb₁₂

    • Authors: Wang Junjie, Liu Xu, Pei Cuiying, Guo Jianggang, Ying Tianping
    • Year: 2025

  3. Intermediately Coupled Type-II Superconductivity in a La-Based Kagome Metal La₃Al

    • Authors: Yu Yingpeng, Liu Zhaolong, Chen Zhaoxu, Guo Jianggang, Jin Shifeng
    • Year: 2025
    • Citations: 1

  4. Dynamic-to-Static Switch of Hydrogen Bonds Induces a Metal–Insulator Transition in an Organic–Inorganic Superlattice

    • Authors: Xie Zhenkai, Luo Rui, Ying Tianping, Guo Jianggang, Chen Xiaolong
    • Year: 2024
    • Citations: 6

  5. Antiferromagnetic Frustration Behavior with Face-Sharing CuAs₄ Tetrahedrons in Conducting ACu₆As₃ (A = Li and Na)

    • Authors: Yang Yuxin, Chen Zhaoxu, Liu Xu, Chen Xu, Guo Jianggang
    • Year: 2024

  6. Evidence of a Hydrated Mineral Enriched in Water and Ammonium Molecules in the Chang’e-5 Lunar Sample

    • Authors: Jin Shifeng, Hao Munan, Guo Zhongnan, Guo Jianggang, Chen Xiaolong
    • Year: 2024
    • Citations: 6

  7. Quantum-Confined Tunable Ferromagnetism on the Surface of a Van der Waals Antiferromagnet NaCrTe₂

    • Authors: Li Yidian, Du Xian, Wang Junjie, Chen Yulin, Yang Lexian
    • Year: 2024

  8. Superconductivity in Pressurized Trilayer La₄Ni₃O₁₀−δ Single Crystals

    • Authors: Zhu Yinghao, Peng Di, Zhang Enkang, Guo Jianggang, Zhao Jun
    • Year: 2024
    • Citations: 41

  9. Influence of Dimensionality on Superconductivity in Pressurized 3D SnPSe₃ Single Crystal

    • Authors: Wang Junjie, Liu Xu, Zhang Ling, Guo Jianggang, Ying Tianping
    • Year: 2024

  10. High-Quality and Wafer-Scale Cubic Silicon Carbide Single Crystals

  • Authors: Wang Guobin, Sheng Da, Yang Yunfan, Guo Jianggang, Chen Xiaolong
  • Year: 2024
  • Citations: 10

Tejasva Maurya | Computer Science | Best Researcher Award

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Mr. Tejasva Maurya | Computer Science | Best Researcher Award

Shri Ramswaroop Memorial University, India

Tejasva Maurya is a dedicated researcher specializing in artificial intelligence, deep learning, and data science. With a strong academic background in computer science and engineering, he has made significant contributions to AI-driven solutions in smart traffic management, healthcare applications, and natural language processing. His work focuses on applying advanced machine learning models to real-world challenges, particularly in image processing, sentiment analysis, and human-computer interaction. Tejasva has published research in reputable journals and book chapters, showcasing his expertise in AI and its interdisciplinary applications. He has also gained valuable industry experience through internships in data science and analytics, working on projects that optimize machine learning models and enhance data-driven decision-making. His technical proficiency includes programming in Python, deep learning frameworks like PyTorch, and working with Hugging Face models for NLP and computer vision tasks. With multiple achievements in AI research, including a Scopus-indexed publication and competition awards, Tejasva continues to push the boundaries of innovation in artificial intelligence. His long-term goal is to contribute groundbreaking research in AI while bridging the gap between theoretical advancements and practical implementations.

Professional Profile

Education

Tejasva Maurya is currently pursuing a Bachelor of Technology in Computer Science and Engineering at Shri Ramswaroop Memorial University, where he has developed a strong foundation in programming, machine learning, and AI-driven applications. His coursework has provided extensive exposure to algorithms, data structures, deep learning, and computer vision techniques. Prior to his undergraduate studies, he completed his Intermediate education under the CBSE Board in 2021, securing an impressive 88.88%, which highlights his academic excellence and analytical abilities. His passion for artificial intelligence and research was evident early on, leading him to explore AI-related projects and specialized training in machine learning. Throughout his education, he has engaged in practical AI applications, contributing to his ability to develop innovative solutions in deep learning, NLP, and computer vision. His university studies have been complemented by self-driven research initiatives and internships, allowing him to apply theoretical knowledge to real-world problems. Tejasva’s continuous learning approach and commitment to AI research position him as an emerging talent in the field of artificial intelligence.

Professional Experience

Tejasva Maurya has gained substantial industry experience through internships and research projects in data science and machine learning. As a Data Scientist Intern at DevTown (June 2023 – December 2023), he worked on developing and optimizing deep learning models using PyTorch for real-world applications, focusing on NLP, image classification, and generative adversarial networks (GANs). He was responsible for designing data pipelines, preprocessing data, and conducting exploratory data analysis, ensuring the models were efficient and accurate. Additionally, Tejasva worked as a Data Analyst Trainee at MedTourEasy (August 2023 – August 2023), where he specialized in data visualization and statistical analysis. His role involved extracting actionable insights from large datasets using Python and Tableau and collaborating with different teams to implement data-driven strategies. His professional experience has strengthened his ability to apply AI techniques to practical problems, enhancing his understanding of machine learning implementation in different sectors. Through these roles, he has built strong analytical skills and technical expertise, preparing him for more advanced research in artificial intelligence and data science.

Research Interests

Tejasva Maurya’s research interests lie in artificial intelligence, deep learning, natural language processing, and computer vision. His primary focus is on developing AI-driven solutions for real-world applications, including smart traffic management, healthcare technology, and human-computer interaction. His work in vehicle classification using deep learning demonstrates his expertise in YOLO-based object detection models and their application in traffic surveillance and smart city planning. Additionally, he is keen on sentiment analysis and speech processing, contributing to AI models that improve text-to-speech (TTS) synthesis and NLP-based insights. His interest in federated learning for agricultural applications highlights his commitment to interdisciplinary research, exploring AI’s role in optimizing farming techniques and market stability. Tejasva is also exploring artificial emotional intelligence for psychological and mental health assessments, aiming to create AI models that assist in mental health diagnosis and emotional analysis. With a strong foundation in machine learning and AI, he aims to bridge the gap between theoretical advancements and practical AI implementations, driving innovation in multiple domains.

Research Skills

Tejasva Maurya possesses advanced research skills in machine learning, deep learning, and AI model development. His technical expertise includes Python programming, with proficiency in PyTorch, scikit-learn, NumPy, and OpenCV for implementing AI-based solutions. He has hands-on experience in computer vision techniques, including real-time object detection, image segmentation, and gesture-based human-computer interaction, leveraging tools like Mediapipe and Haar Cascades. In natural language processing (NLP), he is skilled in text processing, speech-to-text, and fine-tuning transformer models using Hugging Face frameworks. His research methodology includes data preprocessing, model fine-tuning, hyperparameter optimization, and performance evaluation using metrics like mAP and F1-score. He is proficient in working with large-scale datasets and has successfully published research on vehicle classification, federated learning, and AI-based healthcare applications. Additionally, he has experience in GANs and diffusion models, focusing on synthetic media generation and speech dataset augmentation. His ability to integrate AI solutions across different fields demonstrates his versatility as a researcher and innovator.

Awards and Honors

Tejasva Maurya has received multiple accolades for his contributions to AI research and innovation. One of his most notable achievements is publishing a Scopus-indexed journal article, “Real-Time Vehicle Classification Using Deep Learning—Smart Traffic Management,” in Engineering Reports (Wiley), which underscores the real-world impact of his research. He has also co-authored multiple book chapters in prestigious publishers like Nova Science, Wiley, and Bentham Science, covering AI applications in healthcare, federated learning, and artificial emotional intelligence. His research has been recognized for its contribution to intelligent traffic systems, patient-centric healthcare, and AI-powered decision-making. In addition to his research achievements, he secured 1st position in KIMO’s-Edge’ 23 Technology Competition, a testament to his problem-solving skills and technical expertise. His consistent excellence in AI research and project development has positioned him as an emerging leader in the field of artificial intelligence, with a strong track record of achievements.

Conclusion

Tejasva Maurya is a promising researcher in artificial intelligence, with expertise in deep learning, NLP, and computer vision. His strong academic foundation, technical proficiency, and impactful research make him a strong contender for recognition as a leading researcher in AI. With multiple publications, real-world AI applications, and industry experience, he has demonstrated both theoretical knowledge and practical problem-solving abilities. While he has made significant contributions, focusing on publishing in high-impact AI conferences, securing patents, and expanding interdisciplinary collaborations would further enhance his research portfolio. His dedication to bridging AI theory with real-world applications highlights his potential to contribute groundbreaking advancements in artificial intelligence.

Publications Top Notes

  1. Title: Real Time Vehicle Classification Using Deep Learning—Smart Traffic Management
    Authors: Maurya, T., Kumar, S., Rai, M., Saxena, A.K., Goel, N., and Gupta, G.
    Publication: Engineering Reports, 7: e70082 (2025)
    DOI: https://doi.org/10.1002/eng2.70082

  2. Title: Patient Centric Healthcare
    Authors: Maurya, T., Kumar, S., Rai, M., Saxena, A.K.
    Book: Harnessing the Power of IoT-Enabled Machine Learning in Healthcare Applications
    Editors: Mritunjay Rai, Ravindra Kumar Yadav, Neha Goel, and Maheshkumar H. Kolekar

  3. Title: Integrating Artificial Intelligence and Deep Learning in Classification and Taking Care of DFU
    Authors: Kumar, S., Maurya, T., Rai, M., Saxena, A.K., Pandey, J.K.
    Book: Machine Learning-Based Decision Support Systems for Diabetic Foot Ulcer Care
    Editors: Mritunjay Rai, Jay Kumar Pandey, and Abhishek Kumar Saxena

  4. Title: Federated Learning-Based Approach for Crop Recommendation and Market Stability in Agriculture
    Authors: Kumar, S., Maurya, T., Rai, M., Saxena, A.K.
    Book: Federated Learning for Smart Agriculture and Food Quality Enhancement
    Editors: Padmesh Tripathi, Bhanumati Panda, Shanthi Makka, Reeta Mishra, S. Balamurugan, and Sheng-Lung Peng

  5. Title: Artificial Emotional Intelligence for Psychological State and Mental Health Assessment
    Authors: Kumar, S., Maurya, T., Rai, M., Saxena, A.K.
    Book: Artificial Emotional Intelligence: Fundamentals, Challenges and Applications
    Editors: Padmesh Tripathi, Krishna Kumar Paroha, Reeta Mishra, and S. Balamurugan

Adelson Rocha Dantas | Biological Sciences | Best Researcher Award

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Dr. Adelson Rocha Dantas | Biological Sciences | Best Researcher Award

Visiting Researcher at Brazilian Agricultural Research Corporation, Brazil

Adelson Rocha Dantas is a distinguished researcher specializing in forest ecology and sustainable management. He currently holds the position of a Regional Scientific Development Fellow at CNPq – Level C. He obtained a Bachelor’s degree in Forestry Engineering from the State University of Amapá (UEAP) in 2011 and is currently pursuing a degree in Biological Sciences at the Federal University of Amapá. Additionally, he has a postgraduate specialization in Environmental Auditing and Expertise from the International Faculty of Curitiba (FACINTER). Dantas has been actively involved in scientific research since his undergraduate studies, holding research fellowships at various institutions, including Embrapa Amapá, where he worked on projects related to forest phenology, ecosystem ecology, and plant physiology. His primary research interests include the ecology of flooded forests, species phenology, dendrochronology, and sustainable forest management. He has contributed significantly to the study of the genus Carapa and its ecological interactions. Through his extensive academic and professional endeavors, Dantas continues to impact the field of tropical forest conservation and management. His work plays a crucial role in understanding climate change impacts on Amazonian biodiversity.

Professional Profile

Education

Adelson Rocha Dantas has a robust academic background in biological and environmental sciences. He earned a Ph.D. in Ecology from the National Institute for Amazonian Research (INPA) in 2021 under the guidance of Dr. Maria Teresa Fernandez Piedade, with research focusing on population ecology, floodplain forest ecology, seed dispersal, and dendroecology. Prior to this, he completed a Master’s degree in Forest Sciences at the Federal Rural University of Pernambuco (UFRPE) in 2015, supported by a CNPq scholarship, where he studied the population dynamics and spatial distribution of multi-use species in floodplain forests. His undergraduate degree in Forestry Engineering was obtained from the State University of Amapá (UEAP) in 2011. He further enhanced his expertise through a postgraduate course in Environmental Auditing and Expertise from FACINTER in 2012. Dantas has also pursued numerous supplementary courses, including dendroecology, environmental licensing, and statistical methodologies for research. In 2022, he completed a postdoctoral fellowship at Embrapa Amapá, where he advanced his research on forest ecology. His diverse educational background, complemented by specialized training in ecological analysis and conservation techniques, underscores his expertise in Amazonian forest ecosystems and sustainable management practices.

Professional Experience

Adelson Rocha Dantas has extensive professional experience in ecological research and sustainable forest management. Since 2022, he has been a Research Fellow at the Agroforestry Research Center of Amapá (Embrapa-AP), actively engaged in research and development projects. He has held multiple research roles, including serving as a Visiting Researcher at INPA from 2016 to 2021, where he contributed to ecological conservation initiatives. His career also includes multiple research fellowships funded by CNPq, beginning as a Scientific Initiation Fellow at UEAP from 2009 to 2010 and later as a Scientific and Technological Initiation Fellow at Embrapa-AP from 2010 to 2011. Throughout his career, Dantas has worked on key projects related to dendrochronology, forest ecology, and climate change impacts on Amazonian species. His expertise extends to field studies on the phenology and reproductive biology of economically significant tree species, such as Pentaclethra macroloba and Euterpe oleracea. Dantas has also been involved in research activities focused on understanding the temporal growth patterns and seed production dynamics of Bertholletia excelsa. His practical experience, combined with his academic background, positions him as a leading expert in Amazonian forest ecology and conservation.

Research Interests

Adelson Rocha Dantas’s research interests center on Amazonian forest ecology, with a particular focus on population ecology, dendroecology, and sustainable forest management. His work examines the ecological dynamics of floodplain forests and the impacts of climate change on key Amazonian tree species. He has conducted extensive studies on the phenology and reproductive biology of Pentaclethra macroloba and Carapa species, exploring their ecological interactions, growth patterns, and seed dispersal mechanisms. His research also integrates aspects of forest conservation, aiming to develop strategies for sustainable resource management. Another key area of his interest is dendrochronology, where he investigates the historical ecological patterns of Amazonian forests through tree ring analysis. Additionally, Dantas explores the adaptive strategies of floodplain species, assessing their response to environmental stressors such as hydrological fluctuations and deforestation. His commitment to ecological research contributes significantly to the conservation of Amazonian biodiversity and the development of policies for sustainable land use. Through his interdisciplinary approach, Dantas bridges the gap between theoretical ecology and applied conservation, ensuring the long-term sustainability of critical forest ecosystems in Brazil.

Research Skills

Adelson Rocha Dantas possesses a diverse set of research skills essential for ecological and environmental studies. His expertise includes field-based ecological data collection, dendrochronological analysis, and phenological monitoring of Amazonian species. He is proficient in statistical modeling and spatial analysis, employing tools such as R and GIS for ecological data interpretation. Dantas has experience in experimental design for forest ecology studies, including population dynamics assessments and long-term biodiversity monitoring. His laboratory skills include seed germination analysis, wood anatomy studies, and climate impact assessments on tree growth. He is also well-versed in environmental auditing techniques and sustainable forest management practices. His strong background in botanical taxonomy enables him to identify and classify Amazonian plant species accurately. Additionally, Dantas has developed expertise in ecological modeling, contributing to understanding species distribution patterns under changing environmental conditions. His interdisciplinary skill set supports his research contributions to conservation science, sustainable forestry, and climate adaptation strategies. Through his analytical and field research capabilities, Dantas continues to enhance knowledge about Amazonian ecosystems and inform conservation policies.

Awards and Honors

Adelson Rocha Dantas has received several awards and honors in recognition of his contributions to forest ecology and conservation science. As a recipient of multiple CNPq research scholarships, he has been acknowledged for his outstanding academic and research achievements. His doctoral and master’s studies were both funded by prestigious CNPq grants, underscoring the significance of his research in Amazonian ecology. Dantas has also been awarded fellowships for his postdoctoral research at Embrapa Amapá, where he has continued to make impactful contributions to sustainable forest management. His research projects on dendroecology and climate change adaptation have been recognized by national and international environmental research communities. Additionally, his participation in high-profile conservation initiatives has earned him accolades from academic institutions and ecological organizations. His expertise in forest phenology and sustainable resource management has positioned him as a key contributor to the field of tropical forestry. Through his dedication and scientific achievements, Dantas continues to receive recognition for his work in preserving the biodiversity of the Amazon Rainforest.

Conclusion

Adelson Rocha Dantas is a highly accomplished researcher dedicated to the study and conservation of Amazonian forests. His extensive education, professional experience, and research contributions have significantly advanced understanding of floodplain forest ecology and sustainable management practices. Through his work at Embrapa Amapá and other institutions, he has made invaluable contributions to the fields of dendrochronology, species phenology, and climate impact assessment. His research skills and interdisciplinary approach have provided critical insights into the adaptation mechanisms of Amazonian species, influencing conservation strategies and sustainable forestry policies. Dantas’s numerous awards and recognitions highlight his commitment to ecological research and environmental sustainability. His work continues to inform and support efforts to mitigate the impacts of climate change on forest ecosystems. As he advances in his career, his research remains essential to the preservation of biodiversity and the development of ecological policies in Brazil. His passion for environmental science and dedication to knowledge dissemination ensure that his contributions will have a lasting impact on tropical forest conservation and sustainable land management.

Publications Top Notes

  1. Effect of hydroclimatic seasonality on the phenological behavior of Euterpe oleracea in the Amazon estuary

    • Authors: Jaqueline Tavares Santos, Adelson Rocha Dantas, Marcelino Carneiro Guedes
    • Year: 2025

  2. Natural history of the hyperdominant tree, Pentaclethra macroloba (Willd.) Kuntze, in the Amazon River estuary

    • Authors: A. R. Dantas, C. C. Vasconcelos, M. C. Guedes, A. C. Lira-Guedes, M. T. F. Piedade
    • Year: 2024

  3. Reproductive and vegetative phenology database of two progenies of Euterpe oleracea Mart. planted in the Amazon estuary

    • Authors: Jaqueline Tavares Santos, A. R. Dantas, Marcelino Guedes
    • Year: 2024

  4. Population dynamics of Pentaclethra macroloba, a hyperdominant tree in the Amazon River estuary

    • Authors: Adelson Rocha Dantas, Leonardo Pequeno Reis, Marcelino Carneiro Guedes, Ana Cláudia Lira-Guedes, Ana Lícia Patriota Feliciano, Luiz Carlos Marangon
    • Year: 2023

  5. Effect of climate and flooding on the phenology of Attalea phalerata (Arecaceae) in a white‐water floodplain forest of the Amazon River

    • Authors: Rafael Neri Furtado, Marcelino Carneiro Guedes, Adelson Rocha Dantas, Ana Cláudia Lira‐Guedes, José Júlio de Toledo
    • Year: 2023

  6. Demographic and growth patterns of Pentaclethra macroloba (Willd.) Kuntze, a hyperdominant tree in the Amazon River estuary

    • Authors: Adelson Rocha Dantas, Marcelino Carneiro Guedes, Ana Cláudia Lira‐Guedes, Jochen Schöngart, Maria Teresa Fernandez Piedade
    • Year: 2022

  7. Complexidade taxonômica e ampliação da área de ocorrência de Attalea phalerata Mart. ex Spreng. para o Estado do Amapá, Brasil

    • Authors: Tonny David Santiago Medeiros, Ana Cláudia Lira Guedes, Carlos Alberto Santos da Silva Junior, Raullyan Borja Lima e Silva, Ana Luzia Ferreira Farias, Sheylla Susan Moreira da Silva de Almeida, Adelson Rocha Dantas, Salustiano Vilar da Costa Neto, Patrick de Castro Cantuária
    • Year: 2021

  8. Phenological behavior and floral visitors of Pentaclethra macroloba, a hyperdominant tree in the Brazilian Amazon River estuary

    • Authors: Adelson Rocha Dantas, Marcelino Carneiro Guedes, Ana Cláudia Lira-Guedes, Maria Teresa Fernandez Piedade
    • Year: 2021

  9. Morphology, germination, and geographic distribution of Pentaclethra macroloba (Fabaceae): a hyperdominant Amazonian tree

    • Authors: Adelson Rocha Dantas, Marcelino Carneiro Guedes, Caroline Da Cruz Da Cruz Vasconcelos, Jaynna Gonar Lobo Isacksson, Dayane Nathália Barbosa Pastana, Ana Cláudia Lira-Guedes, Maria Teresa Fernandez Piedade
    • Year: 2020

  10. Population dynamics of Attalea excelsa (Arecaceae) in floodplain forest of the Amazonian estuary

  • Authors: Adelson Rocha Dantas
  • Year: 2020

Chitra Sulkan | Environmental Science | Best Researcher Award

Published on by Shen Awards

Dr. Chitra Sulkan | Environmental Science | Best Researcher Award

Lead Research and Technology at Elecsome Pty Ltd, Australia

Dr. Chitra Sulkan is an innovative researcher specializing in solar panel recycling and sustainability. With a Ph.D. in Chemical Science and Built Environment, she has dedicated over six years to pioneering novel chemical, mechanical, and thermal recovery processes for valuable materials like silicon, silver, and glass. Currently leading research and technology development at Elecsome Pty Ltd in Australia, Dr. Sulkan focuses on scaling lab-based innovations for industrial applications. Her work contributes significantly to circular economy solutions, enhancing sustainable practices within the solar energy sector. Through numerous publications, conference presentations, and industry collaborations, she remains at the forefront of photovoltaic (PV) waste management and environmental sustainability.

Professional Profile

Education

Dr. Sulkan completed her Ph.D. in Chemical Science and Built Environment through a collaborative program between AcSIR (India) and RMIT University (Australia). She earned her Master of Science in Chemistry from MDU Rohtak, Haryana, India, in 2016, following her Bachelor of Science in Applied Science from the same institution in 2014. Her academic journey has provided her with expertise in solar panel recycling and material recovery, establishing a strong foundation for her research in sustainability.

Professional Experience

Dr. Sulkan serves as the Lead Research and Technology expert at Elecsome Pty Ltd, where she spearheads research initiatives for industrial-scale solar panel recycling. Previously, she worked as a Ph.D. researcher at AcSIR and RMIT University, focusing on innovative material recovery methods from end-of-life solar panels. Her research included life cycle assessment (LCA) studies and process optimizations for polymer and aluminum separation. Earlier in her career, she held academic positions, including Assistant Professor at Hindu Girls College and Visiting Faculty in the Chemistry Department at Deenbandhu Chhotu Ram University.

Research Interests

Dr. Sulkan’s research interests encompass solar panel recycling, material recovery, and sustainability. She is dedicated to developing efficient and eco-friendly recycling techniques for PV modules, with a focus on recovering high-value materials. Her work integrates life cycle assessment (LCA), thermal analysis, and chemical treatments to enhance recycling processes. She is also passionate about circular economy solutions and the industrial applications of sustainable energy practices, actively contributing to the transition toward renewable and sustainable technologies.

Research Skills

Dr. Sulkan possesses expertise in advanced material characterization techniques, including Fourier-transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), ultraviolet-visible spectroscopy (UV), X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM), and X-ray fluorescence (XRF). Her proficiency in these analytical methods enables precise evaluation of recovered materials from solar panel waste. Additionally, she has significant experience in experimental design, process optimization, and sustainability assessments related to solar panel recycling.

Awards and Honors

Dr. Sulkan has received multiple accolades for her contributions to solar panel recycling research. She won the People’s Choice Award at the Haiku Thesis Competition (2024) at RMIT University and was honored with the Best Oral Presentation Award at the National Conference on Advances in Solar Energy (ASEM-2023). She has also received Best Poster Awards at various national and international conferences, including events at CSIR-NPL, Delhi, and the International Conference on Purification and Recycling of Electronic Materials (ICPREM). Additionally, she secured prestigious research grants from the Council of Scientific and Industrial Research (CSIR) in India.

Conclusion

Dr. Chitra Sulkan is a dedicated sustainability expert making significant strides in solar panel recycling and material recovery. Her extensive research contributions, academic endeavors, and industry leadership underscore her commitment to advancing environmentally sustainable solutions. Through innovative methodologies and interdisciplinary collaboration, she continues to drive impactful changes in the field of renewable energy recycling. With a strong academic and professional background, Dr. Sulkan is poised to shape the future of solar waste management, promoting circular economy principles and sustainable technology solutions worldwide.

Publications Top Notes

  1. Structural Composition and Thermal Stability of Extracted EVA from Silicon Solar Modules Waste
    Authors: Chitra, Sah, D., Lodhi, K., Kant, C., Saini, P., Kumar, S.
    Year: 2020

  2. Extraction and Analysis of Recovered Silver and Silicon from Laboratory Grade Waste Solar Cells
    Authors: Sah, D., Chitra, Lodhi, K., Kant, C., Srivastava, S. K., Kumar, S.
    Year: 2022

  3. Recovery and Analysis of Valuable Materials from Discarded Crystalline Silicon Solar Panel
    Authors: Sah, D., Chitra, Kumar, S.
    Year: 2022

  4. Recovery and Analysis of Polymeric Layers from Waste Solar Module by Chemical Route
    Authors: Chitra, Dheeraj Sah, Parveen Saini, Sushil Kumar
    Year: 2022

  5. Extraction and Analysis of Back Sheet Layer from Waste Modules
    Authors: Chitra, Dheeraj Sah, Parveen Saini, Sushil Kumar
    Year: 2022

  6. Growth of Polycrystalline Silicon Ingots Using Recycle Silicon from Waste Solar Module
    Authors: Sah, D., Chitra, Upadhyay, N.K., Muthiah, S., Sushil Kumar*
    Year: 2023

  7. Investigation and Recovery of Copper from Waste Silicon Solar Module
    Authors: Dheeraj Sah, Chitra, Sushil Kumar*
    Year: 2022

  8. Optimized EVA Decomposition in Bifacial Solar Panels: Sustainable Recovery of Polymerized Oil and Materials
    Authors: Chitra Sulkan*, Prashant Kumar Thakur, Shailza Sharma, Neeraj Das
    Year: 2025

  9. Evaluation of Environmental Footprint: Life Cycle Assessment of Laboratory-Scale Thermal and Chemical Processes Used for Materials Extraction from Waste Silicon Solar Panels
    Authors: Chitra Sulkan, Prashant Kumar Thakur, Rebecca Yang*, Sushil Kumar
    Year: 2025

  10. Sustainable Energy Practices: Analysis of Gases and Particulate Matter Emissions During Pyrolysis of Polymeric Layers of Waste Silicon Solar Panels for Recycling Process
    Authors: Chitra Sulkan, Dheeraj Sah, Rahul, T.K. Mondal, Parveen Saini, Rebecca Yang, Sushil Kumar