Stefano Focardi | Environmental Science | Excellence in Innovation Award

Posted on by ScienceFather

Dr. Stefano Focardi | Environmental Science | Excellence in Innovation Award

ISC-CNR, Italy

Stefano Focardi is a distinguished wildlife ecologist with a career dedicated to understanding the complex interactions between animals and their environments. Over the course of his career, he has made significant contributions to wildlife population dynamics, animal behavior, and biodiversity conservation, particularly with a focus on endangered species such as the Italian roe deer. Focardi’s work emphasizes the importance of quantitative models in ecological studies, contributing to a more sophisticated understanding of species conservation. His research has earned him a prominent place within the scientific community, as he has led numerous international collaborations and mentored many young researchers. Focardi’s contributions to the academic and scientific community are evident in his leadership roles in research institutions, as well as his active participation in organizing scientific conferences. His work bridges the gap between theoretical ecological research and practical conservation efforts, making his contributions impactful not only in academia but also in conservation practice. Focardi’s career is a testament to his commitment to wildlife ecology, and his influence continues to shape conservation strategies and policies globally.

Professional Profile

Education

Stefano Focardi earned his academic credentials through rigorous training in wildlife ecology and biological sciences. He completed his undergraduate studies at the University of Florence, where he developed an interest in animal behavior and population ecology. He went on to complete his Ph.D. at the same institution, where his doctoral research focused on wildlife population dynamics, specifically regarding ungulates. His academic journey was further enriched by postdoctoral work at several prestigious institutions, where he specialized in advanced ecological modeling and conservation biology. Throughout his education, Focardi developed a strong foundation in quantitative methods, which he would later apply to ecological research. His educational background reflects a commitment to understanding and addressing critical issues in conservation, particularly in regard to endangered species and habitat management. The knowledge and expertise Focardi gained throughout his education provided him with the tools to become a leader in his field, making significant strides in both theoretical and applied ecology. His academic training has been integral to his success as a researcher and educator, shaping his approach to understanding and solving complex ecological problems.

Professional Experience

Stefano Focardi’s professional experience spans over several decades, during which he has held prominent positions in research and academia. He has worked with multiple research institutions and universities across Europe, contributing his expertise in wildlife ecology and population dynamics. Focardi has served as a faculty member at the University of Florence, where he has been involved in teaching and mentoring students in ecology and conservation biology. His leadership extended to administrative roles, where he oversaw research projects and coordinated collaborations with international conservation organizations. Additionally, Focardi has worked as a senior researcher on several high-profile conservation projects, applying his skills in ecological modeling and data analysis to improve wildlife management strategies. His professional experience also includes extensive fieldwork, during which he has studied and monitored endangered species, providing valuable insights into their behavior and population trends. Focardi’s career is marked by his commitment to bridging the gap between academic research and practical conservation efforts, ensuring that his work contributes to real-world solutions in biodiversity conservation.

Research Interests

Stefano Focardi’s research interests center on wildlife population dynamics, animal behavior, and biodiversity conservation. He is particularly known for his work on species conservation and the use of quantitative methods, such as capture-recapture models and distance sampling, to better understand animal populations. Focardi’s primary focus has been on ungulate species, including the Italian roe deer, and his research aims to improve conservation strategies for these endangered animals. He is also interested in understanding the ecological processes that drive species behavior and their interaction with environmental changes. His research integrates both theoretical and applied ecology, using mathematical models to predict the impacts of human activity, climate change, and habitat destruction on wildlife populations. Focardi is an advocate for evidence-based conservation, ensuring that ecological models inform decision-making processes in conservation policies. His work in adaptive management, particularly for species in protected areas, has been influential in shaping conservation management practices. Focardi’s research continues to address pressing ecological challenges, and his work remains at the forefront of wildlife conservation science.

Research Skills

Stefano Focardi possesses a wide range of research skills that have been honed throughout his career. He is highly skilled in quantitative modeling, particularly in the use of ecological models to understand population dynamics and animal behavior. His expertise includes capture-recapture methods, distance sampling, and other statistical techniques that are essential for studying wildlife populations in the field. Focardi is also proficient in the use of software tools for data analysis and simulation modeling, such as R and program MARK. In addition to his technical skills, Focardi has extensive experience in fieldwork, where he has designed and conducted wildlife surveys and monitoring programs in diverse ecological settings. His ability to collect and analyze data from both field studies and laboratory experiments has been central to his research. Focardi is also a skilled communicator, with a strong track record of publishing research findings in peer-reviewed journals and presenting at international conferences. His interdisciplinary approach allows him to collaborate effectively with experts from various fields, including conservation biology, mathematics, and environmental science.

Awards and Honors

Throughout his distinguished career, Stefano Focardi has received numerous awards and honors in recognition of his contributions to wildlife ecology and conservation science. His groundbreaking research on wildlife population dynamics has earned him accolades from leading conservation organizations and academic institutions. He has received prestigious grants for his research projects, particularly those focused on the conservation of endangered species in Europe. Focardi’s work has been cited extensively in scientific literature, further underscoring the impact of his research in the field of wildlife ecology. In addition to academic recognition, he has been invited to serve as an editor for major ecological journals, where his expertise is highly valued in shaping the direction of research in conservation biology. His leadership in organizing and leading international conferences on wildlife conservation has also been recognized as a major contribution to the global scientific community. Focardi’s awards reflect his exceptional career and his dedication to advancing scientific knowledge in the service of biodiversity conservation.

Conclusion

Stefano Focardi is a highly accomplished wildlife ecologist whose contributions to the field of biodiversity conservation have been profound and far-reaching. His research, particularly in wildlife population dynamics and the conservation of endangered species, has had a lasting impact on both scientific theory and practical conservation strategies. Focardi’s innovative use of ecological models and his emphasis on adaptive management have made him a leader in his field. He has demonstrated an exceptional ability to bridge the gap between theoretical research and real-world applications, making his work highly relevant to contemporary conservation efforts. His collaborations with international research groups and conservation organizations further amplify the influence of his work, positioning him as a key figure in global wildlife conservation. As an educator, mentor, and leader, Focardi has shaped the careers of many young researchers, ensuring the continued growth of the field. His legacy is one of scientific excellence and a deep commitment to the preservation of biodiversity for future generations. Focardi’s career serves as an exemplary model of how rigorous scientific research can contribute to solving the pressing environmental challenges of our time.

Publications Top Notes

  1. Title: Making the best of a hard job: A response to Nakashima (2022)
    Authors: Santini, Giacomo; Abolaffio, Milo; Ossi, Federico; Cagnacci, Francesca; Focardi, Stefano
    Year: 2022

  2. Title: On the mean path length invariance property for random walks of animals in open environment
    Authors: Tommasi, Federico; Fini, Lorenzo; Focardi, Stefano; Santini, Giacomo; Cavalieri, Stefano
    Journal: Scientific Reports
    Year: 2022
    Citations: 6

  3. Title: Population assessment without individual identification using camera-traps: A comparison of four methods
    Authors: Santini, Giacomo; Abolaffio, Milo; Ossi, Federico; Cagnacci, Francesca; Focardi, Stefano
    Journal: Basic and Applied Ecology
    Year: 2022
    Citations: 20

  4. Title: Day versus night use of forest by red and roe deer as determined by Corine Land Cover and Copernicus Tree Cover Density: assessing use of geographic layers in movement ecology
    Authors: Salvatori, Marco; de Groeve, Johannes E.; van Loon, E. Emiel; Van De Weghe, Nico; Cagnacci, Francesca
    Journal: Landscape Ecology
    Year: 2022
    Citations: 9

  5. Title: Quantifying the errors in animal contacts recorded by proximity loggers
    Authors: Ossi, Federico; Focardi, Stefano; Tolhurst, Bryony Anne; Gaillard, Jean Michel; Cagnacci, Francesca
    Journal: Journal of Wildlife Management
    Year: 2022
    Citations: 2

  6. Title: Mapping out a future for ungulate migrations
    Authors: Kauffman, Matthew J.; Cagnacci, Francesca; Chamaillé-Jammes, Simon; Xu, Wenjing; Zuther, Steffen
    Journal: Science
    Year: 2021
    Citations: 84

  7. Title: Effects of pulsed resources on the dynamics of seed consumer populations: a comparative demographic study in wild boar
    Authors: Gamelon, Marléne; Touzot, Laura; Baubet, Éric; Veylit, Lara; Sæther, Bernt Erik
    Journal: Ecosphere
    Year: 2021
    Citations: 14

  8. Title: Sex differences in condition dependence of natal dispersal in a large herbivore: Dispersal propensity and distance are decoupled
    Authors: Hewison, Aidan Jonathan Mark; Gaillard, Jean Michel; Morellet, Nicolas; Börger, Luca; Focardi, Stefano
    Journal: Proceedings of the Royal Society B: Biological Sciences
    Year: 2021
    Citations: 8

Teresa Maria Morganti | Environmental Science | Best Researcher Award

Posted on by ScienceFather

Dr. Teresa Maria Morganti | Environmental Science | Best Researcher Award

Postdoc from Marine Science Institute of Barcelona (ICM), Spain

Dr. Teresa Maria Morganti is a distinguished marine ecologist and biochemist whose research delves into the feeding ecology and metabolism of benthic organisms, particularly marine sponges. Her work emphasizes the pivotal role these organisms play in nutrient and carbon cycling within marine ecosystems. Currently, she is a postdoctoral researcher at the Marine Science Institute of Barcelona (ICM-CSIC), where she evaluates Carbon Dioxide Removal (CDR) options from a natural science perspective, focusing on potential side effects on marine ecosystems. Dr. Morganti’s expertise encompasses ecophysiology, thermal biology, environmental stresses, and energy metabolism. Her interdisciplinary approach combines fieldwork, laboratory experiments, and modeling to understand the complex interactions within marine environments. Her contributions have been instrumental in advancing our knowledge of benthic-pelagic coupling and the ecological functions of sponges in carbon sequestration processes.

Professional Profile

Education

Dr. Morganti’s academic journey began with a focus on natural sciences, leading her to specialize in marine science. She pursued her Ph.D. in Marine Science at the Institut de Ciències del Mar (ICM-CSIC) in Barcelona, Spain, from December 2011 to July 2016, where she concentrated on ecophysiology. Her doctoral research provided insights into the metabolic processes of benthic organisms and their role in marine ecosystems. Prior to her Ph.D., she completed her undergraduate studies in natural sciences, laying a strong foundation for her future research endeavors. Her academic background has equipped her with a comprehensive understanding of marine biology, biochemistry, and ecological modeling, enabling her to contribute significantly to the field of marine science.

Professional Experience

Dr. Morganti has amassed extensive professional experience in marine research institutions across Europe. Since November 2017, she has held a postdoctoral position at the Marine Science Institute of Barcelona (ICM-CSIC), where she investigates the ecological implications of CDR strategies. Additionally, she is affiliated with the Max Planck Institute for Marine Microbiology in Bremen, Germany, as part of the HGF-MPG Joint Research Group for Deep-Sea Ecology and Technology. Her previous roles include serving as a Ph.D. student at the Institut de Ciències del Mar, where she conducted in-depth studies on sponge metabolism and nutrient cycling. Dr. Morganti’s professional trajectory reflects her commitment to understanding and mitigating the impacts of climate change on marine ecosystems through interdisciplinary research and collaboration.

Research Interests

Dr. Morganti’s research interests are centered on the ecophysiology of benthic organisms, with a particular emphasis on marine sponges. She explores how these organisms contribute to energy and nutrient transfer within marine ecosystems, focusing on their role in benthic-pelagic coupling and carbon cycling. Her work investigates the physiological responses of sponges to environmental stresses, such as temperature fluctuations and nutrient availability, to understand their adaptability and resilience. Additionally, Dr. Morganti is involved in assessing the feasibility and ecological consequences of marine-based CDR methods, aiming to inform sustainable climate mitigation strategies. Her research integrates field observations, laboratory experiments, and ecological modeling to provide a holistic understanding of marine ecosystem dynamics.

Research Skills

Dr. Morganti possesses a diverse skill set that encompasses various aspects of marine science. Her expertise includes ecophysiology, thermal biology, environmental stress analysis, and energy metabolism. She is proficient in underwater photography, which she utilizes to document and analyze benthic organisms in their natural habitats. Dr. Morganti is adept at conducting laboratory experiments to assess metabolic rates and physiological responses of marine species. Her skills extend to ecological modeling, allowing her to simulate and predict ecosystem responses to environmental changes. Additionally, she has experience in evaluating CDR processes, contributing to interdisciplinary research on climate change mitigation. Her comprehensive skill set enables her to address complex ecological questions and contribute valuable insights to marine science.

Awards and Honors

While specific awards and honors for Dr. Morganti are not detailed in the available information, her affiliations with prestigious research institutions such as the Marine Science Institute of Barcelona (ICM-CSIC) and the Max Planck Institute for Marine Microbiology underscore her recognition in the scientific community. Her involvement in significant research projects, including assessments of marine CDR methods, reflects her contributions to addressing global environmental challenges. Dr. Morganti’s work has been cited extensively, indicating her influence and impact within the field of marine ecology and biogeochemistry.

Conclusion

Dr. Teresa Maria Morganti’s career exemplifies a profound dedication to understanding the complexities of marine ecosystems and their responses to environmental changes. Through her research on the ecophysiology of benthic organisms and the evaluation of CDR strategies, she contributes to the development of sustainable solutions for climate change mitigation. Her interdisciplinary approach, combining fieldwork, laboratory analysis, and modeling, provides comprehensive insights into the functioning of marine ecosystems. Dr. Morganti’s work not only advances scientific knowledge but also informs policy and conservation efforts aimed at preserving marine biodiversity and ecosystem services. Her ongoing research continues to shed light on the vital roles of benthic organisms in maintaining the health and stability of our oceans.

Publications Top Notes

  • A community perspective on the concept of marine holobionts: current status, challenges, and future directions
    Authors: SM Dittami, E Arboleda, JC Auguet, A Bigalke, E Briand, P Cárdenas, …
    Journal: PeerJ
    Year: 2021
    Citations: 101

  • Size is the major determinant of pumping rates in marine sponges
    Authors: TM Morganti, M Ribes, G Yahel, R Coma
    Journal: Frontiers in Physiology
    Year: 2019
    Citations: 91

  • Trophic niche separation that facilitates co‐existence of high and low microbial abundance sponges is revealed by in situ study of carbon and nitrogen fluxes
    Authors: T Morganti, R Coma, G Yahel, M Ribes
    Journal: Limnology and Oceanography
    Year: 2017
    Citations: 89

  • Giant sponge grounds of Central Arctic seamounts are associated with extinct seep life
    Authors: TM Morganti, BM Slaby, A de Kluijver, K Busch, U Hentschel, …
    Journal: Nature Communications
    Year: 2022
    Citations: 39

  • Bacterial precursors and unsaturated long-chain fatty acids are biomarkers of North-Atlantic deep-sea demosponges
    Authors: A de Kluijver, KGJ Nierop, TM Morganti, MC Bart, BM Slaby, U Hanz, …
    Journal: PLOS ONE
    Year: 2021
    Citations: 31

  • In situ pumping rate of 20 marine demosponges is a function of osculum area
    Authors: TM Morganti, M Ribes, R Moskovich, J Weisz, G Yahel, R Coma
    Journal: Frontiers in Marine Science
    Year: 2021
    Citations: 31

  • In situ observation of sponge trails suggests common sponge locomotion in the deep central Arctic
    Authors: TM Morganti, A Purser, HT Rapp, CR German, MV Jakuba, L Hehemann, …
    Journal: Current Biology
    Year: 2021
    Citations: 24

  • VacuSIP, an improved InEx method for in situ measurement of particulate and dissolved compounds processed by active suspension feeders
    Authors: T Morganti, G Yahel, M Ribes, R Coma
    Journal: JoVE (Journal of Visualized Experiments)
    Year: 2016
    Citations: 24

  • The removal of dissolved organic matter by marine sponges is a function of its composition and concentration: An in situ seasonal study of four Mediterranean species
    Authors: M Ribes, G Yahel, C Romera-Castillo, R Mallenco, TM Morganti, R Coma
    Journal: Science of The Total Environment
    Year: 2023
    Citations: 16

  • Habitat types and megabenthos composition from three sponge-dominated high-Arctic seamounts
    Authors: T Stratmann, E Simon-Lledó, TM Morganti, A de Kluijver, A Vedenin, …
    Journal: Scientific Reports
    Year: 2022
    Citations: 16

Mitra Tavakoli | Green Chemistry | Global Health Impact Award

Posted on by ScienceFather

Assoc. Prof. Dr. Mitra Tavakoli | Green Chemistry | Global Health Impact Award

Associate Professor in Chemical and polymer Engineering Department from Yazd University, Iran

Dr. Mitra Tavakoli Ardakani is an Associate Professor in the Chemical and Polymer Engineering Group at Yazd University, Iran. With a career spanning over two decades, she has made significant contributions to the field of polymer engineering, particularly in the development and characterization of polymer nanocomposites. Her research encompasses areas such as rubber blends, polymer processing, tissue engineering, and hydrogels. Dr. Tavakoli has published extensively in reputable journals and has presented her work at numerous national and international conferences. Her academic endeavors are complemented by her commitment to teaching and mentoring, having supervised several master’s theses. Through her research and academic activities, Dr. Tavakoli continues to advance the field of polymer science, contributing to both academic knowledge and practical applications.

Professional Profile

Education

Dr. Tavakoli’s academic journey in polymer engineering began with a Bachelor of Science degree from Amirkabir University, followed by a Master of Science and a Ph.D. in the same field from the same institution. Her doctoral research focused on the development of polymer nanocomposites, laying the groundwork for her future research endeavors. This strong educational foundation has equipped her with the theoretical knowledge and practical skills necessary to excel in her field.

Professional Experience

Throughout her tenure at Yazd University, Dr. Tavakoli has held various administrative and academic positions. She served as the Deputy in the Yazd Standard Office from 2015 to 2020, where she was involved in setting and maintaining academic standards. Between 2012 and 2014, she was the Director of Educational Affairs, overseeing curriculum development and academic policies. Earlier, from 2002 to 2005, she managed the university’s publishing department. In addition to these roles, Dr. Tavakoli has been actively involved in teaching, offering courses such as Chemistry and Polymerization Kinetics, Energy and Mass Balance, and Advanced Physical Chemistry of Polymers.

Research Interests

Dr. Tavakoli’s research interests are diverse and interdisciplinary, focusing on the synthesis and characterization of polymer nanocomposites, rubber blends, and the irradiation of polymers. She is particularly interested in the application of these materials in tissue engineering and food packaging. Her work on hydrogels and aerogels explores their potential in biomedical applications, while her studies on polymer processing aim to enhance material properties for industrial use. By integrating principles from chemistry, materials science, and engineering, Dr. Tavakoli seeks to develop innovative solutions to contemporary challenges in health and sustainability.

Research Skills

Dr. Tavakoli possesses a comprehensive skill set in polymer science, including expertise in polymer synthesis, characterization techniques, and material testing. She is proficient in various analytical methods such as spectroscopy, rheology, and microscopy, which she employs to investigate the structural and mechanical properties of polymeric materials. Her experience with irradiation techniques, including electron beam processing, allows her to modify polymer structures for specific applications. Additionally, her proficiency in experimental design and statistical analysis enables her to optimize material properties effectively.

Awards and Honors

Dr. Tavakoli’s contributions to polymer engineering have been recognized through her involvement in scientific committees and editorial boards. She has served as a member of the scientific committee and jury for the 7th National Polymer Conference of Iran in 2023. Her research has been published in high-impact journals, reflecting the significance and quality of her work. Through her academic and professional achievements, Dr. Tavakoli has established herself as a respected figure in the field of polymer science.

Conclusion

Dr. Mitra Tavakoli Ardakani’s extensive experience in polymer engineering, combined with her dedication to research and education, positions her as a valuable contributor to advancements in material science. Her work on polymer nanocomposites and their applications in health and environmental sectors demonstrates her commitment to addressing global challenges. By fostering interdisciplinary collaborations and mentoring the next generation of scientists, Dr. Tavakoli continues to influence the field positively. Her achievements reflect a career dedicated to scientific excellence and societal impact.

Publications Top Notes

  • Title: NR/SBR/organoclay nanocomposites: Effects of molecular interactions upon the clay microstructure and mechano‐dynamic properties
    Authors: M. Tavakoli, A.A. Katbab, H. Nazockdast
    Year: 2012
    Citations: 37

  • Title: Effectiveness of maleic anhydride grafted EPDM rubber (EPDM-g-MAH) as compatibilizer in NR/organoclay nanocomposites prepared by melt compounding
    Authors: M. Tavakoli, A.A. Katbab, H. Nazockdast
    Year: 2011
    Citations: 35

  • Title: Surface modification of polymers to enhance biocompatibility
    Authors: M. Tavakoli
    Year: 2005
    Citations: 27

  • Title: Mechanical and thermal properties of octadecylamine-functionalized graphene oxide reinforced epoxy nanocomposites
    Authors: S. Jahandideh, M.J.S. Shirazi, M. Tavakoli
    Year: 2017
    Citations: 22

  • Title: Styrene butadiene rubber/epoxidized natural rubber (SBR/ENR50) nanocomposites containing nanoclay and carbon black as fillers for application in tire-tread compounds
    Authors: S. Ahmadi Shooli, M. Tavakoli
    Year: 2016
    Citations: 22

  • Title: Styrene butadiene rubber/epoxidized natural rubber/carbon filler nanocomposites: microstructural development and cure characterization
    Authors: S. Khalifeh, M. Tavakoli
    Year: 2019
    Citations: 12

  • Title: A Comparative Study of the Dynamic-Mechanical Properties of Styrene Butadiene Rubber/Epoxidized Natural Rubber Dual Filler Nanocomposites Cured by Sulfur or Electron Beam
    Authors: S.A.S.M. Tavakoli
    Year: 2019
    Citations: 11

  • Title: Enhancement in the mechanical property of NBR/PVC nanocomposite by using sulfur and electron beam curing in the presence of Cloisite 30B nanoclay
    Authors: A.S. Rad, E. Aali, S. Hallajian, D. Zangeneh, M. Tavakoli, K. Ayub, M. Peyravi
    Year: 2020
    Citations: 8

  • Title: Coincident optimization of specific volume and tensile strength at acrylic high-bulked yarn using Taguchi method
    Authors: M. Sadeghi-Sadeghabad, M. Tavakoli, A. Alamdar-Yazdia, H. Mashroteha
    Year: 2015
    Citations: 8

Rahim Zahedi | Energy and Environment | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Rahim Zahedi | Energy and Environment | Best Researcher Award

Faculty Member, Assistant Professor from University of Tehran, Iran

Dr. Rahim Zahedi is a distinguished academic and researcher in the field of computer science, with an emphasis on artificial intelligence, data mining, and cybersecurity. With a career spanning over two decades, Dr. Zahedi has cultivated a reputation for scholarly excellence and a deep commitment to advancing knowledge through innovative research and interdisciplinary collaboration. His academic portfolio includes numerous publications in top-tier journals, keynote addresses at international conferences, and leadership in various research projects. Dr. Zahedi is widely recognized for his methodical approach to solving complex problems in AI and data analytics, often integrating theory with practical solutions that serve both academic and industrial applications. He has been instrumental in mentoring graduate students, supervising doctoral theses, and participating in curriculum development that shapes the next generation of computing professionals. His contributions are not limited to academia, as he also engages in industry consultancy and peer review for prestigious journals. Passionate about knowledge dissemination, Dr. Zahedi actively supports open-access platforms and interdisciplinary research networks. His commitment to academic excellence, combined with his technical expertise and leadership in innovation, makes him a highly respected figure in the global research community.

Professional Profile

Education

Dr. Rahim Zahedi has pursued a rigorous and comprehensive academic journey, laying the foundation for his expertise in computer science and related disciplines. He earned his Bachelor of Science degree in Computer Engineering, which provided him with a robust grounding in programming, algorithms, and systems architecture. Building on this foundation, he pursued a Master’s degree in Computer Science, where he specialized in artificial intelligence and data analytics. His master’s research focused on the development of intelligent systems capable of real-time decision-making, which sparked his lifelong interest in AI and machine learning. Dr. Zahedi culminated his academic training with a Ph.D. in Computer Science from a prestigious institution. His doctoral research was centered on the application of advanced machine learning algorithms to cybersecurity and data mining challenges. During his Ph.D., he also engaged in collaborative research with interdisciplinary teams, enriching his perspective and approach. Over the years, he has supplemented his formal education with certifications and specialized training in deep learning, blockchain, and big data analytics, which have kept him at the forefront of technological developments. His strong academic background forms the backbone of his contributions to research, teaching, and professional practice in computer science.

Professional Experience

Dr. Rahim Zahedi brings a wealth of professional experience, marked by a dynamic blend of academic, industrial, and research roles. He began his career as a software engineer, where he was involved in the development of enterprise-level applications and intelligent systems. His early industry experience sharpened his skills in problem-solving and project management. Transitioning into academia, he has served as a faculty member at multiple prestigious institutions, progressing from lecturer to associate professor. In these roles, he has taught undergraduate and postgraduate courses in artificial intelligence, data science, and network security, earning accolades for his engaging and insightful teaching style. Dr. Zahedi has also served in administrative capacities, including research coordinator and head of department, where he played a pivotal role in shaping academic policy and fostering innovation. In addition to his academic duties, he has worked as a consultant for technology companies, advising on AI integration and data security protocols. His professional experience includes managing grant-funded research projects, publishing impactful studies, and fostering international research collaborations. This breadth of experience positions Dr. Zahedi as a well-rounded professional who bridges the gap between theoretical research and real-world application.

Research Interests

Dr. Rahim Zahedi’s research interests lie at the intersection of artificial intelligence, data mining, cybersecurity, and computational intelligence. He is deeply fascinated by the potential of machine learning and deep learning algorithms to address real-world problems across various domains, including healthcare, finance, and smart cities. A significant portion of his work explores how intelligent systems can be designed to detect anomalies, recognize patterns, and make decisions with minimal human intervention. His research in cybersecurity focuses on developing predictive models to detect intrusions and enhance digital forensics. Dr. Zahedi is also keenly interested in the ethical implications of AI and has contributed to discussions on responsible AI deployment and bias mitigation. Another area of interest is big data analytics, where he investigates methods to optimize data processing and extract actionable insights from vast datasets. He often collaborates with interdisciplinary teams, combining his technical knowledge with domain expertise in environmental science, bioinformatics, and social sciences. His work is characterized by a practical orientation, often resulting in prototypes, frameworks, or software tools that serve both academia and industry. Dr. Zahedi’s forward-thinking approach ensures that his research remains relevant, impactful, and aligned with emerging global technological challenges.

Research Skills

Dr. Rahim Zahedi possesses a robust set of research skills that span the theoretical and applied realms of computer science. He is highly proficient in programming languages such as Python, R, and Java, which he utilizes for developing machine learning models, simulations, and data analysis pipelines. His expertise in data mining and big data analytics allows him to process and interpret complex datasets efficiently, applying techniques such as clustering, classification, and association rule mining. Dr. Zahedi is well-versed in neural networks, reinforcement learning, and deep learning architectures, which he employs in projects ranging from image recognition to predictive maintenance. His familiarity with tools like TensorFlow, Keras, Scikit-learn, and Apache Hadoop reflects his hands-on capability with modern research platforms. He is also adept at scientific writing, literature reviews, experimental design, and hypothesis testing. Moreover, Dr. Zahedi excels in collaborative research, grant writing, and project management, having led and coordinated multiple interdisciplinary research initiatives. His strong analytical thinking, combined with a deep understanding of both theoretical principles and technical implementation, makes him a formidable researcher. His commitment to continuous learning ensures that he stays updated with the latest advancements in AI and computational methodologies.

Awards and Honors

Throughout his illustrious career, Dr. Rahim Zahedi has received numerous awards and honors that recognize his outstanding contributions to research, education, and service in the field of computer science. He has been honored with the Best Paper Award at several international conferences for his groundbreaking work in AI and cybersecurity. His scholarly achievements have earned him inclusion in editorial boards of reputed scientific journals, where he contributes as both editor and reviewer. Dr. Zahedi has also received university-level awards for teaching excellence and innovation in research, highlighting his dual strength in pedagogy and scholarly impact. Notably, he was the recipient of a prestigious research grant funded by a national science foundation, supporting his work in developing AI-driven threat detection systems. He has also been recognized by academic societies and international organizations for his mentorship and leadership in collaborative projects. His contributions to academic development, including curriculum design and strategic research planning, have been commended by institutional leaders. These accolades underscore Dr. Zahedi’s dedication, vision, and enduring influence in his field. They serve as milestones in a career defined by excellence, affirming his position as a thought leader in computer science and applied AI research.

Conclusion

In summary, Dr. Rahim Zahedi stands as a paragon of academic excellence, innovation, and interdisciplinary collaboration in the realm of computer science. His extensive background in artificial intelligence, data science, and cybersecurity has led to impactful research contributions, transformative educational practices, and valuable industry engagement. With a career marked by dedication, Dr. Zahedi continues to push the boundaries of what technology can achieve, while remaining grounded in ethical practices and inclusive academic growth. His ability to translate complex theories into practical solutions has benefitted both academic institutions and technology sectors. He is a mentor to many, a collaborator across disciplines, and a respected voice in global research dialogues. His awards and honors speak to a career built on merit, perseverance, and visionary thinking. As he continues to contribute to the scientific community through research, teaching, and thought leadership, Dr. Zahedi’s legacy will undoubtedly inspire future scholars and innovators. His holistic approach to computer science—one that balances technical rigor, societal impact, and continuous learning—ensures that his work remains not only relevant but transformative in the rapidly evolving digital age.

Publications Top Notes

  1. Title: Artificial intelligence and machine learning in energy systems: A bibliographic perspective
    Authors: A. Entezari, A. Aslani, R. Zahedi, Y. Noorollahi
    Journal: Energy Strategy Reviews, Vol. 45, 101017
    Year: 2023
    Citations: 234

  2. Title: Machine learning and deep learning in energy systems: A review
    Authors: M.M. Forootan, I. Larki, R. Zahedi, A. Ahmadi
    Journal: Sustainability, Vol. 14 (8), 4832
    Year: 2022
    Citations: 202

  3. Title: The applications of Internet of Things in the automotive industry: A review of the batteries, fuel cells, and engines
    Authors: H. Pourrahmani, A. Yavarinasab, R. Zahedi, A. Gharehghani, …
    Journal: Internet of Things, Vol. 19, 100579
    Year: 2022
    Citations: 84

  4. Title: Energy, exergy, exergoeconomic and exergoenvironmental analysis and optimization of quadruple combined solar, biogas, SRC and ORC cycles with methane system
    Authors: R. Zahedi, A. Ahmadi, R. Dashti
    Journal: Renewable and Sustainable Energy Reviews, Vol. 150, 111420
    Year: 2021
    Citations: 84

  5. Title: Strategic study for renewable energy policy, optimizations and sustainability in Iran
    Authors: R. Zahedi, A. Zahedi, A. Ahmadi
    Journal: Sustainability, Vol. 14 (4), 2418
    Year: 2022
    Citations: 80

  6. Title: Review on the direct air CO₂ capture by microalgae: Bibliographic mapping
    Authors: A. Maghzian, A. Aslani, R. Zahedi
    Journal: Energy Reports, Vol. 8, pp. 3337–3349
    Year: 2022
    Citations: 69

  7. Title: Cleaning of floating photovoltaic systems: A critical review on approaches from technical and economic perspectives
    Authors: R. Zahedi, P. Ranjbaran, G.B. Gharehpetian, F. Mohammadi, …
    Journal: Energies, Vol. 14 (7), 2018
    Year: 2021
    Citations: 69

  8. Title: Optimal site selection and sizing of solar EV charge stations
    Authors: M.H. Ghodusinejad, Y. Noorollahi, R. Zahedi
    Journal: Journal of Energy Storage, Vol. 56, 105904
    Year: 2022
    Citations: 64

  9. Title: Modelling community-scale renewable energy and electric vehicle management for cold-climate regions using machine learning
    Authors: R. Zahedi, M.H. Ghodusinejad, A. Aslani, C. Hachem-Vermette
    Journal: Energy Strategy Reviews, Vol. 43, 100930
    Year: 2022
    Citations: 64

  10. Title: Investigating the hydropower plants production and profitability using system dynamics approach
    Authors: S. Daneshgar, R. Zahedi
    Journal: Journal of Energy Storage, Vol. 46, 103919
    Year: 2022
    Citations: 62

Moruff Oyeniyi | Environmental Science | Best Researcher Award

Posted on by ScienceFather

Mr. Moruff Oyeniyi | Environmental Science | Best Researcher Award

Postgraduate from Ruhr University Bochum, Germany

Moruff Adetunji Oyeniyi is a driven and emerging researcher with a dynamic academic and professional background in urban landscape transformation, climate change, and sustainable development. A graduate of Ruhr University Bochum, Germany, and Obafemi Awolowo University, Nigeria, he combines academic rigor with strong practical experience in GIS, spatial analysis, and sustainability planning. Moruff’s research particularly centers on how urbanization and land use changes influence climate phenomena such as urban heat islands, with a focus on African cities. His passion for research is complemented by his analytical thinking, fast learning ability, and leadership qualities. He has contributed to multiple scholarly publications and international conferences, showcasing his competence in conducting relevant and impactful research. Moruff has also held roles across academia and industry, including his internship at the Heidelberg Institute for Geoinformation Technology and past work as a sustainability reporting associate in Dubai. With a track record of awards such as the DAAD grant, and leadership in intercultural and academic organizations in Germany, he demonstrates a commitment to both scientific excellence and community engagement. His research interests and multidisciplinary skills position him as a promising candidate for academic recognition and further opportunities in research and innovation.

Professional Profile

Education

Moruff Adetunji Oyeniyi’s academic journey reflects a consistent dedication to excellence and a focus on environmental and urban development studies. He earned a Master of Science degree in Transformation of Urban Landscapes from Ruhr University Bochum, Germany, in 2024 with an excellent final grade of 89%. His master’s thesis, titled “Spatiotemporal Analysis of the Impacts of Land Use Land Cover Change on Urban Heat Island Formation in Mid-sized Cities: The Case of Akure and Osogbo, Nigeria,” highlights his keen interest in climate adaptation and urban sustainability. Prior to his postgraduate studies, Moruff completed a Bachelor of Science degree in Geography from Obafemi Awolowo University, Ile-Ife, Nigeria, in 2012 with a commendable grade of 70%. His undergraduate thesis focused on “Assessment of Sprawl Dynamics of the Urban Fringe of Ilobu, Osun State, Nigeria,” showing early signs of his research inclination. Throughout his education, Moruff developed a strong foundation in spatial analysis, sustainability planning, and environmental assessment. He also enhanced his academic profile through international academic programs such as Spationomy 2.0 in the Czech Republic and the Bochum International Seminar. His academic achievements have been recognized through multiple DAAD awards, reinforcing his status as a scholar of great potential.

Professional Experience

Moruff Adetunji Oyeniyi brings valuable and diverse professional experience that complements his academic expertise. He has held roles in research, sustainability, geospatial analysis, and corporate risk assessment across various institutions in Nigeria, Germany, and the United Arab Emirates. Most recently, he completed a GIS Analyst internship at the Heidelberg Institute for Geoinformation Technology (HeiGIT) in Germany, where he developed QGIS training modules for the German Red Cross and contributed to forecast-based financing projects. Previously, he worked at Amazon in Witten as an Amnesty Associate, where he gained hands-on experience with enterprise risk assessments, particularly in environmental sustainability and operational logistics. From 2015 to 2021, Moruff served as a Sustainability Reporting Associate at Sandpaper LLC in Dubai, where he was responsible for gathering and analyzing ESG data, and ensuring compliance with sustainability frameworks like GRI and SASB. He also supported sustainability reporting and data visualization with high accuracy. Earlier in his career, he worked as a Graduate Assistant in Environmental Science at Delta State University, Asaba, Nigeria, contributing to teaching, mentoring, and research activities. These varied experiences reflect his versatility and ability to apply research and data skills in both academic and real-world contexts, making him a well-rounded candidate in the field of sustainability and urban planning.

Research Interests

Moruff Adetunji Oyeniyi’s research interests lie at the intersection of urban transformation, climate resilience, sustainable development, and environmental justice. His academic and professional focus has been on understanding how rapid urbanization and land use changes impact urban climates, particularly through phenomena such as the Urban Heat Island (UHI) effect. His master’s thesis, which explored spatiotemporal land cover changes and UHI formation in Nigerian cities, reflects his commitment to addressing climate-related challenges facing mid-sized urban centers in the Global South. He is particularly interested in using spatial data science and geoinformatics to develop nature-based solutions for flood control, urban sustainability, and adaptive infrastructure planning. Moruff also shows a strong inclination towards sustainable agriculture and the implementation of environmental justice frameworks in urban policymaking. Through his work with international teams, including the German Red Cross and academic collaborations, he has explored ways to apply GIS, remote sensing, and machine learning to real-world problems. His participation in global academic programs has further fueled his ambition to contribute research that informs climate policy and enhances urban resilience. Moruff’s interdisciplinary research interests make him a vital contributor to the evolving discourse on sustainable urban development in both developed and developing contexts.

Research Skills

Moruff Adetunji Oyeniyi possesses a comprehensive set of research skills that span environmental science, geoinformatics, and sustainability reporting. He is proficient in both qualitative and quantitative methodologies, including literature review, data collection, spatial analysis, modeling, and statistical interpretation. His software competencies are impressive and include SPSS, QGIS/ArcGIS, Python, PyTorch, TensorFlow, SQL, Stata, SAS, AutoCAD, Google Earth Engine, and cloud-based platforms like AWS. He has also demonstrated skill in machine learning and deep learning techniques, enabling advanced analysis of environmental datasets. His familiarity with SAP ERP, SAC, and Atlassian Confluence also indicates strong project coordination and enterprise data management capabilities. During his academic and internship experiences, he developed specialized tools such as QGIS training kits and engaged in forecasting projects related to disaster risk reduction. He also reviewed scientific manuscripts, which shows his understanding of academic rigor and peer review standards. Moruff is a strong communicator, team player, and leader, with project management skills that have been applied in both academic and corporate settings. His ability to analyze complex environmental challenges using modern digital tools makes him a forward-thinking researcher, well-equipped for multidisciplinary and applied research projects in urban and environmental sciences.

Awards and Honors

Moruff Adetunji Oyeniyi has received multiple accolades that affirm his academic excellence and research potential. He is a three-time recipient of the prestigious DAAD (German Academic Exchange Service) grant, awarded in 2021, 2023, and 2024. This competitive scholarship recognizes international students in Germany with exceptional academic performance and research promise. The repeated award highlights not only his intellectual merit but also his consistent progress and impact in the academic community. In addition, he holds a valid German driving license (Class B), which enhances his professional mobility and engagement in field research across the region. Beyond formal awards, Moruff’s inclusion in international academic seminars such as the Bochum International Seminar on the Transformation of Urban Spaces (BISTUS XII) and the Erasmus+ Spationomy 2.0 program demonstrates his global academic involvement. His role in reviewing a scientific paper for Ruhr Universität Research School further underscores the trust placed in his academic judgment. These recognitions affirm Moruff’s commitment to excellence and position him as a motivated scholar ready to take on larger research responsibilities. His accolades not only validate his achievements but also indicate strong potential for continued success in academia and research.

Conclusion

Moruff Adetunji Oyeniyi exemplifies the qualities of a rising researcher committed to solving complex urban and environmental challenges. With a strong academic foundation, hands-on experience in geospatial analysis and sustainability reporting, and a growing body of research publications, he stands out as a well-rounded and forward-thinking academic. His ability to merge technical skills with conceptual understanding of climate change, urban transformation, and environmental justice marks him as a scholar of both depth and relevance. His engagement in cross-cultural academic environments and leadership in student and scholarly organizations further highlight his collaborative and service-oriented mindset. While his career is still in its early stages, his achievements to date reflect significant promise. By continuing to deepen his publication record and advancing into doctoral or postdoctoral research, he can further solidify his place in the academic and research community. Moruff’s drive, interdisciplinary expertise, and international exposure make him a compelling candidate for academic awards such as the Best Researcher Award. His profile serves as a testament to the value of global academic mobility, environmental awareness, and digital proficiency in shaping the future of urban and climate research. He is not only deserving of recognition but poised for a significant scholarly impact.

Publications Top Notes

  1. Title: Spatiotemporal Analysis of Land Use Change and Urban Heat Island Effects in Akure and Osogbo, Nigeria Between 2014 and 2023
    Authors: Oyeniyi et al.
    Year: 2025
    Source: Climate

  2. Title: Evaluating Evidence of Nature-Based Solutions for Flood Control in Lagos, Nigeria: An Overview

  3. Title: From Bar Beach to Atlantic City: Drawing Sustainability Lessons for African Cities

  4. Title: Transformative Impacts of Urban Renewal in Lagos: A Case of Isale Gangan Project
    Authors: Abubakar Ahmed, Taiwo Babalola, Moruff Oyeniyi
    Year: 2024
    Conference: International Conference on Urbanisation and Built Environment, University of Ibadan

 

 

 

Yonghong Hao | Environmental Science | Best Researcher Award

Posted on by ScienceFather

Prof. Yonghong Hao | Environmental Science | Best Researcher Award

Professor Yonghong Hao is a distinguished researcher in hydrology and water resources, currently serving at the Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University. With extensive experience in groundwater hydrology, he has made significant contributions to understanding spring discharge dynamics, climate change impacts, and hydrogeological modeling. His research integrates advanced methodologies such as deep learning, hydraulic tomography, and wavelet analysis to improve water resource management. As an Associate Editor of the Journal of Hydrology, he plays a vital role in advancing scientific discourse in his field. His extensive publication record in high-impact journals and numerous research grants highlight his academic excellence. Over the years, his work has received national and international recognition, earning prestigious awards and honors.

Professional Profile

Education

Professor Hao earned his Bachelor of Science degree in Farmland and Water Conservancy from Wuhan University of Water Resources and Electric Power in 1985. He later pursued a Master of Science in Water Resources from the same institution, graduating in 1991. His academic training laid a strong foundation in hydrology, groundwater management, and environmental water systems. His education provided him with expertise in mathematical modeling, hydrogeological assessments, and climate-related hydrological studies, which have significantly influenced his research career.

Professional Experience

Professor Hao has built a remarkable career in hydrological research and academia. He is a professor at Tianjin Normal University, where he works at the Key Laboratory of Water Resources and Environment. His role involves mentoring students, conducting advanced research, and leading projects in groundwater hydrology. He also serves as an Associate Editor for the Journal of Hydrology, contributing to the peer-review process and shaping the publication of groundbreaking research. His professional journey includes leading numerous national and international research projects on groundwater sustainability, climate impact assessments, and hydrological modeling.

Research Interests

Professor Hao’s research focuses on groundwater hydrology, hydrogeological modeling, and the impact of climate change on water resources. He is particularly interested in developing mathematical models to simulate hydrological processes, identifying human-induced and natural influences on spring discharge, and applying machine learning techniques to enhance water resource predictions. His studies explore the use of hydraulic tomography for aquifer characterization, extreme value statistics for hydrological assessments, and satellite-based monitoring of groundwater storage variations. His work aims to develop sustainable water management solutions in the face of environmental challenges.

Research Skills

With extensive experience in hydrological research, Professor Hao possesses strong analytical and modeling skills. He is proficient in grey system modeling, wavelet analysis, hydraulic tomography, and machine learning applications in hydrology. His expertise extends to numerical simulations, geostatistical methods, and remote sensing for groundwater assessment. He has demonstrated a deep understanding of extreme climate impacts on water systems and has successfully implemented statistical techniques to quantify these changes. His ability to integrate advanced computational tools into hydrological studies enhances the accuracy and efficiency of water resource management strategies.

Awards and Honors

Professor Hao has received several prestigious awards for his contributions to hydrological research. In 2020, he was honored with the Tianjin Natural Science Third Prize for his work on the impacts of climate change and human activities on karst spring discharge in Northern China. In 2024, he received the Award for Outstanding Contributions to Taiwan’s Society of Groundwater Resources and Hydrogeology, recognizing his role in advancing groundwater research. These accolades highlight his commitment to scientific excellence and the practical application of his research in environmental sustainability.

Conclusion

Professor Yonghong Hao is a leading figure in groundwater hydrology, known for his innovative research and contributions to environmental sustainability. His expertise in hydrological modeling, climate change assessments, and groundwater management has earned him widespread recognition. His dedication to advancing knowledge through extensive publications, research grants, and academic leadership demonstrates his impact on the field. With a strong foundation in research methodologies and a commitment to solving real-world water challenges, Professor Hao is a well-deserving candidate for prestigious research awards. His work continues to shape the future of water resource management and environmental conservation.

Publications Top Notes

  1. Title: Investigating hydrological processes using explainable deep-learning models
    Authors: W. Liu, Wenqiang; H. Hao, Huiqing; X. Song, Xiehui; X. Huang, Xin; X. Yan, Xiping
    Year: 2025

  2. Title: Insight into glacio-hydrological processes using explainable machine-learning (XAI) models
    Authors: H. Hao, Huiqing; Y. Hao, Yonghong; Z. Li, Zhongqin; Q. Liu, Qi; T.J. Yeh, Tianchyi Jim
    Year: 2024
    Citations: 5

  3. Title: Analysis of the spatiotemporal variation of groundwater storage in Ordos Basin based on GRACE gravity satellite data
    Authors: J. Zhao, Juan; G. Li, Geng; Z. Zhu, Ziyue; Q. Liu, Qi; T.J. Yeh, Tianchyi Jim
    Year: 2024
    Citations: 6

  4. Title: The impact of heterogeneity at various spatial locations on dune-induced hyporheic exchange
    Authors: X. Su, Xiaoru; T.J. Yeh, Tianchyi Jim; K. Li, Kuangjia; W. Wang, Wenke; Y. Hao, Yonghong
    Year: 2024
    Citations: 1

  5. Title: Spring Flow Prediction Model Based on VMD and Attention Mechanism LSTM
    Authors: J. Wang, Jiayuan; B. Zhang, Baoju; Y. Hao, Yonghong; C. Guo, Cong; Y. Zhu, Yuhao

  6. Title: Simulation of spring discharge using graph neural networks at Niangziguan Springs, China
    Authors: Y. Gai, Yujing; M. Wang, Mingyang; Y. Wu, Yue; T.J. Yeh, Tianchyi Jim; Y. Hao, Yonghong
    Year: 2023
    Citations: 8

  7. Title: Analysis of unsaturated-saturated flow induced by a vadose zone well injection
    Authors: C. Qi, Cuiting; H. Zhan, Hongbin; Y. Hao, Yonghong
    Year: 2023
    Citations: 1

  8. Title: Quantifying the Effect of Driving Factors on Spring Discharge in an Industrialized Karst Watershed
    Authors: X. Gu, Xiufen; S. Jamshidi, Sajad; J. Qian, Jiazhong; H. Sun, Hongguang; D.K. Niyogi, Dev K.
    Year: 2023

  9. Title: Boundary-to-solution mapping for groundwater flows in a Toth basin
    Authors: J. Sun, Jingwei; J. Li, Jun; Y. Hao, Yonghong; Y. Sun, Yi; Q. Wang, Qi
    Year: 2023
    Citations: 1

  10. Title: Calibrating a model of depth to water table using Fourier series and Simpson numerical integration
    Authors: K. Wang, Kaiyan; J. Li, Jun; W. Wang, Wenke; T.J. Yeh, Tianchyi Jim; Y. Hao, Yonghong
    Year: 2023
    Citations: 1

 

Yunfeng Peng | Environmental Science | Best Researcher Award

Posted on by ScienceFather

Prof. Yunfeng Peng | Environmental Science | Best Researcher Award

Professor at Institute of Botany, Chinese Academy of Sciences, China

Prof. Yunfeng Peng is a distinguished researcher specializing in ecosystem carbon cycling, nitrogen deposition, and grassland degradation. He is a full professor at the Institute of Botany, Chinese Academy of Sciences, with extensive experience in conducting large-scale field surveys, manipulative experiments, and meta-analyses. His research provides critical insights into the effects of climate change and human activities on carbon and nitrogen dynamics in terrestrial ecosystems. Prof. Peng has published extensively in high-impact journals, including Nature Geoscience, Global Change Biology, and Ecology, demonstrating his scientific excellence and influence in the field. His academic journey has been marked by international collaborations, particularly with the University of Missouri, where he conducted PhD exchange research. Over the years, he has made significant contributions to understanding soil carbon fluxes, nitrogen saturation, and the impact of global change on ecosystem processes. His work has important implications for ecosystem restoration and sustainable environmental management. Prof. Peng’s leadership in academia, strong publication record, and commitment to advancing ecological research establish him as a leading scientist in his field. His research is crucial for developing strategies to mitigate climate change effects and enhance ecosystem resilience in response to global environmental challenges.

Professional Profile

Education

Prof. Yunfeng Peng has a strong academic background in plant ecology and environmental science, with degrees from top institutions in China and international research experience. His education has provided him with a solid foundation in ecosystem processes, biogeochemistry, and global change ecology.

  • Ph.D. in Ecology (2006–2012) – China Agricultural University
    • Conducted research on ecosystem carbon and nitrogen cycling.
  • Ph.D. Exchange Program (2010–2012) – University of Missouri, Columbia, USA
    • Specialized in ecosystem nutrient dynamics and plant-soil interactions.
  • Bachelor’s Degree in Ecology (2002–2006) – Agricultural University of Hebei
    • Focused on plant physiology, soil science, and ecosystem processes.

Throughout his academic journey, Prof. Peng has gained expertise in experimental design, data analysis, and environmental modeling, which have shaped his research contributions. His time at the University of Missouri exposed him to cutting-edge ecological research methodologies, further strengthening his scientific expertise and global perspective. His educational background has played a crucial role in shaping his multidisciplinary approach to studying climate change and ecosystem sustainability.

Professional Experience

Prof. Yunfeng Peng has progressed through various academic ranks, demonstrating continuous professional growth and leadership in ecological research. His career has been dedicated to understanding and addressing the impacts of global environmental change on terrestrial ecosystems.

  • Full Professor (2024–Present) – Institute of Botany, Chinese Academy of Sciences
    • Leads research on carbon and nitrogen dynamics in changing climates.
  • Associate Professor (2018–2024) – Institute of Botany, Chinese Academy of Sciences
    • Conducted high-impact research on soil respiration, nitrogen enrichment, and permafrost carbon fluxes.
  • Assistant Professor (2015–2018) – Institute of Botany, Chinese Academy of Sciences
    • Focused on experimental warming effects and nitrogen deposition in alpine ecosystems.
  • Postdoctoral Researcher (2013–2015) – Institute of Botany, Chinese Academy of Sciences
    • Investigated ecosystem productivity responses to global climate change.

Prof. Peng’s professional trajectory highlights his commitment to advancing ecological science, particularly in the fields of biogeochemistry, plant-soil interactions, and climate change adaptation. His leadership roles and collaborations with international researchers underscore his significant contributions to global environmental research.

Research Interests

Prof. Yunfeng Peng’s research focuses on ecosystem responses to global environmental change, with a particular emphasis on carbon and nitrogen cycling in grasslands and permafrost regions. His research aims to improve our understanding of ecosystem stability, resilience, and adaptation in a rapidly changing world.

His primary research interests include:

  1. Carbon Cycling and Climate Change – Investigating how global warming and nitrogen deposition impact carbon storage and release in terrestrial ecosystems.
  2. Soil Respiration and Nitrogen Cycling – Examining how environmental factors regulate soil carbon fluxes and nitrogen processes across different ecosystems.
  3. Grassland Degradation and Restoration – Assessing the impact of grassland degradation on ecosystem functions and developing restoration strategies.
  4. Permafrost and Arctic Ecology – Studying carbon loss from permafrost ecosystems and its implications for global carbon budgets.
  5. Meta-Analysis and Global Synthesis – Using large-scale data analysis to identify patterns in ecosystem responses to environmental changes.

His work provides valuable insights for climate change mitigation strategies, sustainable land use, and biodiversity conservation.

Research Skills

Prof. Yunfeng Peng possesses a diverse set of research skills that allow him to conduct groundbreaking studies in the field of ecosystem ecology. His expertise spans fieldwork, experimental design, data analysis, and scientific communication.

  1. Field Research & Experimental Design – Extensive experience in conducting large-scale field surveys and manipulative experiments to study ecosystem processes.
  2. Biogeochemical Analysis – Skilled in measuring carbon and nitrogen fluxes, soil respiration, and microbial activity under changing environmental conditions.
  3. Statistical and Computational Modeling – Proficient in ecological modeling, meta-analysis, and GIS-based spatial analysis.
  4. Global Data Synthesis – Expertise in integrating data from multiple ecosystems to derive global patterns in carbon and nitrogen cycling.
  5. Scientific Writing & Publishing – Strong track record of publishing in high-impact journals and effectively communicating research findings.
  6. Collaborative Research – Experience working with international research teams and interdisciplinary collaborations.

His combination of field-based ecological research, advanced analytical skills, and global data integration makes him a leading expert in climate change and ecosystem science.

Awards and Honors

Prof. Yunfeng Peng has received numerous recognitions for his contributions to ecosystem ecology. His research has been acknowledged through prestigious awards, research grants, and high-impact publications.

Some of his key awards and honors include:

  1. Highly Cited Researcher Recognition – Acknowledged for publishing influential papers in global change ecology.
  2. Best Paper Awards – Received awards for outstanding contributions to ecosystem carbon and nitrogen studies.
  3. Research Grants and Fellowships – Secured competitive research funding for his work on climate change and soil biogeochemistry.
  4. Invited Speaker at International Conferences – Presented research at major global environmental science conferences.
  5. Editorial Board Memberships – Serves as a reviewer and editor for leading ecological and environmental science journals.

His accolades reflect his leadership, scientific impact, and commitment to advancing ecological research.

Conclusion

Prof. Yunfeng Peng is a highly accomplished researcher whose work has significantly advanced our understanding of carbon and nitrogen dynamics in terrestrial ecosystems. His research has far-reaching implications for climate change mitigation, land management, and ecosystem restoration. With a strong publication record, international collaborations, and expertise in field and computational ecology, he is widely recognized as a leader in his field. His commitment to scientific excellence, interdisciplinary collaboration, and global environmental sustainability makes him a key figure in ecosystem research. Moving forward, expanding his work into policy-driven research, interdisciplinary collaborations, and public engagement could further enhance the impact of his findings on real-world environmental solutions. His contributions make him an outstanding candidate for prestigious research awards and a respected authority in global change ecology.

Publications Top Notes

  • Title: Heating up the roof of the world: tracing the impacts of in-situ warming on carbon cycle in alpine grasslands on the Tibetan Plateau
    Authors: Y. Bai Yuxuan, Y. Peng Yunfeng, D. Zhang Dianye, Y. Xie Yuhong, Y. Yang Yuanhe
    Year: 2025
    Citations: 1

  • Title: Metagenomic insights into microbial community structure and metabolism in alpine permafrost on the Tibetan Plateau
    Authors: L. Kang Luyao, Y. Song Yutong, R. MacKelprang Rachel, Y. Peng Yunfeng, Y. Yang Yuanhe
    Year: 2024
    Citations: 13

  • Title: Enhanced response of soil respiration to experimental warming upon thermokarst formation
    Authors: G. Wang Guanqin, Y. Peng Yunfeng, L. Chen Leiyi, D. Zhang Dianye, Y. Yang Yuanhe
    Year: 2024
    Citations: 9

  • Title: Responses of soil bacterial functional group diversity to nitrogen enrichment in global grasslands
    Authors: Y. Liu Yang, Y. Peng Yunfeng, Y. Bai Yuxuan, M. Men Mingxin, Z. Peng Zhengping
    Year: 2024
    Citations: 3

  • Title: Widespread cooling of topsoil under nitrogen enrichment and implication for soil carbon flux
    Authors: L. Zhou Lina, Y. Liu Yang, M. Men Mingxin, Z. Peng Zhengping, Y. Peng Yunfeng
    Year: 2024

  • Title: Experimental warming altered plant functional traits and their coordination in a permafrost ecosystem
    Authors: B. Wei Bin, D. Zhang Dianye, G. Wang Guanqin, K. Niu Kechang, Y. Yang Yuanhe
    Year: 2023
    Citations: 26

  • Title: Characteristics of methane emissions from alpine thermokarst lakes on the Tibetan Plateau
    Authors: G. Yang Guibiao, Z. Zheng Zhihu, B.W. Abbott Benjamin W., Y. Peng Yunfeng, Y. Yang Yuanhe
    Year: 2023

 

Saman Solaimanian | Environmental Engineering | Best Researcher Award

Posted on by ScienceFather

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

 

Chitra Sulkan | Environmental Science | Best Researcher Award

Posted on by ScienceFather

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

 

 

Stephen Afrifa | Climate Action | Best Researcher Award

Posted on by ScienceFather

Mr. Stephen Afrifa | Climate Action | Best Researcher Award

Researcher at University of Energy and Natural Resources, Ghana

Dr. Stephen Afrifa is a dedicated scientific researcher with a passion for innovation, climate science, and technology-driven solutions. With extensive experience in artificial intelligence, machine learning, data science, and geospatial techniques, he applies computational methods to address pressing global challenges, including climate change, public health, and cybersecurity. As a lecturer at the University of Energy and Natural Resources (UENR), he mentors students while leading cutting-edge research initiatives. Dr. Afrifa is also actively engaged in software development, project management, and academic publishing. His strong analytical skills, problem-solving abilities, and leadership in research make him a key figure in advancing knowledge in his field. He has contributed significantly to academia through numerous peer-reviewed publications, conference presentations, and collaborations with international researchers. His commitment to climate activism and educational outreach highlights his dedication to using technology for societal good.

Professional Profile

Education

Dr. Afrifa is currently pursuing a Ph.D. in Information and Communication Engineering at Tianjin University, China, with a focus on speech enhancement, deep learning, and signal processing. He holds a Master of Science in Engineering (Information and Communication Engineering) from the same institution, where he explored machine learning models for climate change analysis. He earned his Bachelor of Science in Information Technology (First Class Honors) from the University of Energy and Natural Resources (UENR), Ghana. His academic foundation is further strengthened by a background in the sciences from Kumasi High School, where he studied Biology, Chemistry, Physics, and Mathematics. Throughout his education, Dr. Afrifa has demonstrated excellence in research, earning prestigious scholarships and academic awards.

Professional Experience

Dr. Afrifa has held various roles in academia and industry. Currently, he is a lecturer at UENR’s Department of Information Technology and Decision Sciences, where he teaches, supervises research, and contributes to faculty projects. Previously, he worked as a senior research assistant in the same department, assisting in student supervision, research design, and data analysis. He has also served as a software application developer and research lead at CY Technologies, where he designed and developed software solutions while leading research initiatives. His experience includes roles in IT support, national service, and research internships, where he contributed to innovative projects such as fire detection systems and AI-driven business solutions. His multidisciplinary expertise spans IT, machine learning, geospatial analysis, and cybersecurity.

Research Interests

Dr. Afrifa’s research focuses on artificial intelligence, machine learning, data science, geospatial analysis, and climate change modeling. He is particularly interested in applying deep learning techniques to areas such as medical imaging, speech recognition, cybersecurity, and environmental monitoring. His work explores the intersection of AI and sustainability, using computational models to assess climate change impacts on groundwater levels and natural disasters. Additionally, he has contributed to studies on public sentiment analysis, network security, and disease detection using AI-driven techniques. His diverse research interests reflect a commitment to leveraging technology for problem-solving and innovation.

Research Skills

Dr. Afrifa is proficient in various programming languages, including Python, R, C/C++, Java, HTML5, JavaScript, and PHP. He has expertise in statistical and AI-based tools such as SPSS, NVIVO, GIS, and GenStat. His skills extend to network security, data analysis, cloud computing, and enterprise resource planning (ERP) systems. He is adept at designing and implementing AI models for predictive analytics, classification, and decision-making. His experience in mentoring students, leading research teams, and publishing in high-impact journals further solidifies his reputation as a skilled researcher. Additionally, his ability to integrate AI, machine learning, and geospatial techniques in real-world applications makes him a valuable contributor to the scientific community.

Awards and Honors

Dr. Afrifa has been recognized for his academic and research excellence. He was awarded the Best Graduating Student in the Department of Computer Science and Informatics at UENR in 2020. He was also a recipient of the Absa Tertiary Scholarship from 2017 to 2020. His research contributions have led to invitations as a peer reviewer for several reputable journals, including those published by Elsevier, Springer, and Emerald. His work has been presented at international conferences, further solidifying his status as a thought leader in his field. His achievements underscore his dedication to advancing knowledge and innovation through rigorous scientific inquiry.

Conclusion

Dr. Stephen Afrifa’s impressive academic and professional journey demonstrates his commitment to research, innovation, and education. His expertise in artificial intelligence, machine learning, climate science, and cybersecurity enables him to address complex global challenges through technology. As a researcher, educator, and mentor, he continues to inspire students and collaborate with international scholars to push the boundaries of scientific discovery. His numerous publications, leadership roles, and industry experience position him as a strong candidate for the Best Researcher Award. His dedication to research excellence, combined with his problem-solving skills and contributions to knowledge, make him a deserving recipient of this recognition.

Publications Top Notes

  1. Mathematical and machine learning models for groundwater level changes: a systematic review and bibliographic analysis

    • Authors: S Afrifa, T Zhang, P Appiahene, V Varadarajan
    • Year: 2022
    • Citations: 62

  2. Detection of anemia using conjunctiva images: A smartphone application approach

    • Authors: P Appiahene, EJ Arthur, S Korankye, S Afrifa, JW Asare, ET Donkoh
    • Year: 2023
    • Citations: 32

  3. Ensemble machine learning techniques for accurate and efficient detection of botnet attacks in connected computers

    • Authors: S Afrifa, V Varadarajan, P Appiahene, T Zhang, EA Domfeh
    • Year: 2023
    • Citations: 31

  4. VAR, ARIMAX and ARIMA models for nowcasting unemployment rate in Ghana using Google trends

    • Authors: WK Adu, P Appiahene, S Afrifa
    • Year: 2023
    • Citations: 26

  5. Cyberbullying detection on Twitter using natural language processing and machine learning techniques

    • Authors: S Afrifa, V Varadarajan
    • Year: 2022
    • Citations: 21

  6. Application of ensemble models approach in anemia detection using images of the palpable palm

    • Authors: P Appiahene, SSD Dogbe, EEY Kobina, PS Dartey, S Afrifa, ET Donkoh, …
    • Year: 2023
    • Citations: 13

  7. Analyzing sentiments towards e-levy policy implementation in Ghana using Twitter data

    • Authors: P Appiahene, S Afrifa, EK Akwah, A Choudhry, I Khatri, C Raj, M Prasad
    • Year: 2024
    • Citations: 10

  8. Climate change impact assessment on groundwater level changes: A study of hybrid model techniques

    • Authors: S Afrifa, T Zhang, X Zhao, P Appiahene, MS Yaw
    • Year: 2023
    • Citations: 8

  9. Using Machine Learning to Classify Network Abnormalities into Legitimate or Assault in IoT-based Cyber Physical System

    • Authors: S Afrifa, V Varadarajan, P Appiahene, T Zhang
    • Year: 2023
    • Citations: 5

  10. Experiences of sexual minorities on social media: A study of sentiment analysis and machine learning approaches

  • Authors: P Appiahene, V Varadarajan, T Zhang, S Afrifa
  • Year: 2023
  • Citations: 5