Macdex Mutema | Engineering | Excellence in Research Award

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Dr. Macdex Mutema | Engineering | Excellence in Research Award

Senior Research Engineer from Agricultural Research Council, South Africa

Dr. Macdex Mutema is an accomplished water resources scientist with extensive experience in surface water hydrology, irrigation systems, soil and water conservation, and climate-smart agriculture. His career spans over two decades, encompassing roles in research, academia, program management, and technical engineering. Currently a Senior Researcher at the Agricultural Research Council in South Africa, Dr. Mutema is recognized for his leadership in national and international projects addressing irrigation efficiency, sustainable land management, and agricultural resilience. He has served as a mentor and supervisor to postgraduate students, while simultaneously lecturing at the University of Venda. Dr. Mutema has reviewed numerous academic papers for leading journals and examined advanced theses, reflecting his respected status within the academic and professional community. He holds professional affiliations with SACNASP and SABI, reinforcing his credibility and commitment to scientific advancement. His research activities are complemented by his ability to translate knowledge into practical applications for farming communities and stakeholders. With a strong background in both the technical and socio-environmental aspects of water resource engineering, Dr. Mutema’s contributions stand out in terms of impact, sustainability, and innovation. He is a suitable candidate for recognition in excellence in research, particularly in fields related to environmental sustainability and agricultural water management.

Professional Profile

Education

Dr. Macdex Mutema’s educational journey reflects a focused trajectory in agricultural engineering, soil science, and hydrology. He earned his PhD in Hydrology from the University of KwaZulu-Natal, South Africa, between 2012 and 2016. His doctoral studies provided a robust foundation in hydrological modeling, water resource management, and applied environmental research. Prior to this, he completed a Master of Science in Soil and Environmental Management at the University of Zimbabwe (2007–2010), equipping him with analytical and field-based knowledge essential for tackling soil degradation and water conservation issues. His undergraduate training includes a Bachelor of Science Honors Degree in Agricultural Engineering from the University of Zimbabwe (1994–1997), where he developed the engineering and technical skills foundational to his long-term career in irrigation, hydrology, and land management. In addition to formal academic qualifications, Dr. Mutema has continuously enhanced his expertise through specialized short courses. These include training in advanced irrigation design, outcomes-based education, moderation, and facilitation skills—all of which contribute to his effectiveness in both research and pedagogy. His educational background is multidisciplinary, combining engineering, environmental science, and hydrology, and aligns seamlessly with his professional focus on sustainable water use and climate-resilient agricultural systems.

Professional Experience

Dr. Macdex Mutema possesses an impressive and diverse professional history in research, academia, and development sectors. Since 2017, he has served as a Senior Researcher at the Agricultural Research Council-Institute for Agricultural Engineering in South Africa. His core responsibilities include research on irrigation systems, soil and water management, environmental protection, and training module development. He also mentors postgraduate students and contributes to policy-relevant project proposals. Concurrently, Dr. Mutema has worked as a part-time Senior Lecturer at the University of Venda since 2018, where he teaches engineering science courses and supervises both undergraduate and postgraduate research. From 2015 to 2017, he was a Postdoctoral Research Fellow at the Centre for Water Resources Research, University of KwaZulu-Natal, where he focused on soil, water, and nutrient fluxes. He also has significant experience in NGO sectors, having held key technical and managerial roles in organizations like CADS Trust, VeCO Zimbabwe, and CoopIBO Zimbabwe. These roles involved irrigation design, natural resource management, project leadership, and community engagement. His early academic career includes lectureships at the University of Zimbabwe. With over two decades of multidisciplinary experience, Dr. Mutema bridges applied research, academic training, and practical implementation across southern Africa.

Research Interests

Dr. Macdex Mutema’s research interests span a wide spectrum of interconnected fields in water resources and environmental sustainability. His primary focus is on surface water hydrology, agricultural water use, irrigation technologies, and soil and water conservation engineering. He is particularly passionate about optimizing irrigation systems for both smallholder and commercial farms to enhance water use efficiency and crop productivity. A significant portion of his work is dedicated to climate-smart agriculture, including rainwater harvesting and adaptive water management strategies tailored for semi-arid regions. His research also addresses the broader challenges of sustainable land management and ecosystem services restoration in degraded landscapes. As global environmental concerns intensify, Dr. Mutema has engaged in interdisciplinary work that bridges hydrology with policy, education, and community-based development. His commitment to applied solutions is evident in his project leadership, which translates scientific findings into practical interventions. His interests are also aligned with the evolving needs of African agriculture in the face of climate change, where water scarcity and soil degradation remain pressing issues. Dr. Mutema’s work contributes both to academic knowledge and to tangible improvements in resource management, making his research interests highly relevant to regional and international development agendas.

Research Skills

Dr. Macdex Mutema possesses a robust skill set that spans theoretical modeling, field-based research, academic supervision, and project implementation in the realm of water and environmental sciences. His technical expertise includes advanced irrigation system design, surface water analysis, soil-water interactions, and conservation engineering. He is skilled in hydrological modeling and has experience working with GIS-based tools to map water usage and inform sustainable land-use practices. As a research leader, he is adept at securing competitive funding and managing large-scale, multi-year projects, evidenced by his coordination of programs funded by agencies like the UNDP/GEF and the South African Water Research Commission. Dr. Mutema is also highly experienced in scientific writing, peer review, and thesis examination. His communication and facilitation skills, bolstered by formal training, enable him to effectively mentor students and engage stakeholders. Furthermore, he has strong pedagogical abilities, having taught at both undergraduate and postgraduate levels. He excels at integrating interdisciplinary approaches to address complex agricultural and hydrological challenges. His ability to translate technical findings into actionable strategies for farmers and policy-makers underscores the applied strength of his research skills. These competencies make him a valuable asset in both academic and development contexts.

Awards and Honors

While Dr. Macdex Mutema’s portfolio does not explicitly list formal awards or honors, his body of work and professional affiliations reflect substantial peer recognition and leadership in his field. His inclusion as a thesis examiner for PhD and MSc candidates, as well as his role as a reviewer for over a dozen respected journals such as Hydrology and Earth System Sciences, Journal of Hydrology, and Geoderma, demonstrates the high regard in which his scholarly judgment is held. His registered professional scientist status with SACNASP and membership in the South African Irrigation Institute (SABI) further validate his professional standing. Notably, Dr. Mutema has successfully led and contributed to high-impact research projects funded by prominent national and international agencies—including the Department of Agriculture, Land Reform and Rural Development, the Water Research Commission, and the UNDP—indicating trust in his leadership and scientific acumen. His ongoing engagement in research, teaching, and consultancy highlights his dynamic contribution to science and development. Although not formally titled as awards, these milestones collectively serve as honors and indicators of excellence within the academic and research communities in South Africa and beyond.

Conclusion

Dr. Macdex Mutema stands out as a leading researcher and practitioner in the fields of water resource management, irrigation engineering, and environmental sustainability. With over 25 years of experience spanning academia, applied research, and international development, he brings a unique blend of technical, educational, and managerial skills. His contributions are evident in the successful implementation of nationally funded projects, postgraduate mentorship, and peer-reviewed publications. He is also actively engaged in training and capacity building, reflecting a commitment to both knowledge generation and dissemination. While a more detailed publication record and international engagement could further enhance his academic profile, his proven impact on practical agricultural and environmental challenges remains undeniable. Dr. Mutema’s ability to bridge the gap between science and real-world application makes him a valuable asset to both research institutions and policy-making bodies. His work aligns closely with the objectives of the Excellence in Research Award, which recognizes individuals who demonstrate innovation, leadership, and meaningful societal impact through research. Given his record of achievement, Dr. Mutema is a strong and deserving candidate for this award, representing excellence in both the advancement of science and its application for sustainable development.

Publications Top Notes

  1. Title: A Study on the Difference Between the Green Coverage and the Green Evaluation Captured from the Impressive Landscape
    Authors: Mamiko Numata
    Year: 2022

  2. Title: A Study on the Consistency of the Plan of the Area Around the Wards Boundary to Improve the Wooden Densely-Built Urban Area
    Authors:Year : 2021Sakiko Hamada; Norihiro Nakai; Mamiko Numata; Kei Sakamura
    Year: 2021

  3. Title:Authors : Hayato Ihara ; Norihiro Nakai ; Mamiko Numata ; Kei SakamuraA Study on the Making of Flood Risk Reduction Measures of Cities Damaged by Floods
    Authors: Hayato Ihara; Norihiro Nakai; Mamiko Numata; Kei Sakamura Year
    :

  4. Title: Study of the Division of Functions Among Urban Centers and Their Changes in Cities with Two Urban Centers
    Authors: Yasuki Tsuchiya; Norihiro Nakai; Mamiko Numata; Kei Sakamura
    Year: 2021

  5. Title: A Study of the Effects of Buildings on the Surroundings Environment of Flagpole-Shaped Sites
    Authors: Mamiko Numata; Norihiro Nakai
    – The Best Of Norihiro Nakai

  6. Title: A Study on the Land Use Changes After Large Factory Closure
    Authors: Yasuki Tsuchiya; Norihiro Nakai; Mamiko Numata
    Year: 2019

  7. Title: [Title Not Provided — based on DOI: 10.11361/journalcpij.57.569]
    Authors: On Takasaki; Norihiro Nakai; Mamiko Numata; Kei Sakamura
    Year: Not explicitly listed (likely 2023 or 2024 based on DOI numbering sequence)

Hulya Sen Arslan | Engineering | Women Researcher Award

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​Assist. Prof. Dr. Hulya Sen Arslan | Engineering | Women Researcher Award

KARAMANOĞLU MEHMETBEY UNIVERCITY, Turkey

Dr. Hülya Şen Arslan is a distinguished academic specializing in Food Engineering, with a focus on functional foods, food chemistry, and food microbiology. She is currently serving as an Assistant Professor in the Department of Food Engineering at Karamanoğlu Mehmetbey University. Dr. Arslan has an extensive educational background, having completed her undergraduate studies at Selçuk University, followed by a master’s degree at Erciyes University, and a doctorate at Selçuk University. Her research interests are deeply rooted in food sciences, particularly in the development and analysis of functional foods and the chemical and microbiological aspects of food products. Throughout her career, Dr. Arslan has contributed to the academic community with several publications and has actively participated in peer review processes. Her dedication to research and education in the field of food engineering underscores her commitment to advancing knowledge and promoting innovation in food science.​

Professional Profile

Education

Dr. Hülya Şen Arslan’s academic journey commenced with a Bachelor of Science degree from Selçuk University’s Faculty of Agriculture, where she studied from 2009 to 2014. She then pursued a Master of Science in the Institute of Science at Erciyes University between 2014 and 2017. Her doctoral studies were conducted at Selçuk University’s Institute of Science from 2018 to 2022. This comprehensive educational background has provided Dr. Arslan with a solid foundation in agricultural and food sciences, equipping her with the necessary skills and knowledge to excel in her field.​

Professional Experience

Currently, Dr. Hülya Şen Arslan holds the position of Assistant Professor in the Department of Food Engineering at Karamanoğlu Mehmetbey University. In this role, she is responsible for teaching undergraduate and graduate courses, mentoring students, and conducting research in her areas of expertise. Her professional experience is marked by a commitment to academic excellence and a dedication to advancing the field of food engineering through both education and research.​

Research Interests

Dr. Arslan’s research interests encompass several critical areas within food sciences. She focuses on functional foods, exploring how bioactive components can enhance health benefits. Her work in food chemistry involves analyzing the molecular composition and properties of food substances, while her studies in food microbiology examine the role of microorganisms in food production, preservation, and safety. These research pursuits aim to contribute to the development of healthier and safer food products.​

Research Skills

With a robust background in food sciences, Dr. Arslan possesses a diverse set of research skills. She is proficient in laboratory techniques pertinent to food chemistry and microbiology, including chromatographic and spectroscopic methods for analyzing food components, as well as microbiological assays for detecting and characterizing foodborne pathogens. Additionally, her expertise extends to the design and implementation of studies related to functional foods, encompassing both the development of novel food products and the assessment of their health impacts.​

Awards and Honors

While specific awards and honors have not been detailed, Dr. Arslan’s contributions to the field of food engineering are evident through her active participation in research and academia. Her publications and involvement in peer review activities reflect a recognition of her expertise and dedication to advancing knowledge in food sciences.​

Conclusion

In summary, Dr. Hülya Şen Arslan is a dedicated academic and researcher in the field of food engineering. Her comprehensive education and professional experience have enabled her to contribute significantly to the understanding and development of functional foods, food chemistry, and food microbiology. Through her teaching, research, and service to the academic community, Dr. Arslan continues to play a vital role in advancing the science of food and promoting innovations that enhance food quality and safety.

Publications Top Notes​

  • Title: Simultaneous extraction of phenolics and essential oil from peppermint by pressurized hot water extraction
    Authors: M. Cam, E. Yüksel, H. Alaşalvar, B. Başyiğit, H. Şen, M. Yılmaztekin, et al.
    Year: 2019
    Citations: 34

  • Title: Antioxidant and chemical effects of propolis, sage (Salvia officinalis L.), and lavender (Lavandula angustifolia Mill) ethanolic extracts on chicken sausages
    Authors: S. Yerlikaya, H. Şen Arslan
    Year: 2021
    Citations: 15

  • Title: Antibacterial and antioxidant activity of peach leaf extract prepared by air and microwave drying
    Authors: H. Şen Arslan, A. Cabi, S. Yerlikaya, C. Sariçoban
    Year: 2021
    Citations: 8

  • Title: Comparison some microbiological and physicochemical properties of freeze dryed and spray dryed milk powder
    Authors: S. Yerlikaya, H. Ş. Arslan
    Year: 2019
    Citations: 8*

  • Title: Effect of ultrasound and microwave pretreatments on some bioactive properties of beef protein hydrolysates
    Authors: H. Şen Arslan, C. Sariçoban
    Year: 2023
    Citations: 7

  • Title: Use of fruits and vegetables in meat and meat products in terms of dietary fiber
    Authors: H. Şen Arslan, C. Sariçoban, S. Yerlikaya
    Year: 2021
    Citations: 4

  • Title: Effects of various plant parts on storage stability and colour parameters of beef extracts
    Authors: B. A. Oğuz, C. Sarıçoban, H. Şen Arslan
    Year: 2019
    Citations: 4

  • Title: Ultrason destekli elma atık özütlerinin bazı biyoaktif özellikleri
    Authors: H. Ş. Arslan
    Year: 2023
    Citations: 3*

  • Title: Karaman İl Merkezinde Yaşayan Halkın Bilinçli Gıda Tüketim Derecesinin Araştırılması
    Authors: S. Yerlikaya, Ş. N. Karaman, S. Tuna, H. Ş. Arslan
    Year: 2020
    Citations: 3

  • Title: Increased reactive carboxyl and free alfa-amino groups from fish type I collagen peptides by Alcalase® hydrolysis exhibit higher antibacterial and antioxidant …
    Authors: S. Yasar, H. S. Arslan, K. Akgul
    Year: 2024
    Citations: 2

Atiqur Rahman | Engineering | Best Researcher Award

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Mr. Atiqur Rahman | Engineering | Best Researcher Award

PhD Researcher from University of Bolton, United Kingdom

Md Atiqur Rahman is a passionate aerospace engineering professional with a rich background in both academia and research. Currently serving as an Engineering Lecturer at Blackpool & The Fylde College in the UK, he also pursues a Ph.D. at the University of Bolton, focusing on sustainable composite materials for aerospace applications. With over nine years of experience in aeronautical education, his expertise spans curriculum development, student mentorship, assessment, and instructional leadership. He has taught at multiple institutions including Preston College, University of Bolton, and Cambrian International College of Aviation. His research is deeply rooted in innovation, particularly in the area of natural fiber-reinforced composites, with a specific emphasis on Borassus flabellifer (palmyra palm) husk fibers. Rahman has published six research articles and actively participates in academic conferences and seminars. Known for his technical abilities and practical knowledge, he integrates tools like Ansys, SolidWorks, and Matlab in both research and teaching. Awarded Best Lecturer in 2022 and a mentor to an award-winning student in 2021, he exemplifies academic dedication. Md Rahman is committed to advancing aerospace engineering through sustainable innovations while nurturing student growth in higher education. His profile reflects a balance of scholarly excellence, practical engineering acumen, and a deep commitment to teaching.

Professional Profile

Education

Md Atiqur Rahman has pursued a solid academic trajectory in aerospace and mechanical engineering. He is currently enrolled in a Ph.D. program at the University of Bolton, United Kingdom, where his research centers on the development of natural fiber-based composite materials for aerospace applications. This research is both timely and impactful, aligning with global movements toward sustainable aviation technology. Concurrently, he completed a Master of Philosophy (MPhil R2) in Mechanical Engineering at the same institution between July 2022 and November 2024, further sharpening his expertise in advanced material science and structural mechanics. His academic foundation began with a Bachelor of Engineering (Honours) degree in Aerospace Engineering from the University of Hertfordshire, UK, which he completed in 2012. The rigorous curriculum provided him with strong fundamentals in aerodynamics, propulsion systems, and aerospace structures. Throughout his educational journey, Md Rahman has consistently demonstrated academic excellence, integrating theory with hands-on research and software simulation. His academic path underscores a clear focus on applied engineering, sustainability, and innovation. This robust combination of qualifications positions him well for continued leadership in both academia and the aerospace research community, particularly in the development and application of bio-composites and eco-friendly engineering solutions.

Professional Experience

Md Atiqur Rahman has accumulated a diverse and extensive professional background in engineering education, spanning over nine years across the UK and Bangladesh. He currently serves as an Engineering Lecturer at Blackpool & The Fylde College, where he teaches and manages students up to Level 6, designs course materials, assesses learners, and supports curriculum alignment with Lancaster University and employer standards. Previously, he worked at Preston College, teaching aeronautical engineering to students in BTEC Pearson, City & Guilds, and EAL programs. At the University of Bolton, he served as a variable-hours lecturer, contributing to module delivery, exam preparation, and student guidance. In Bangladesh, Rahman held academic and leadership roles at Cambrian International College of Aviation and United College of Aviation, Science & Management. At Cambrian, he also acted as Internal Quality Assurer (IQA), leading BTEC curriculum development and internal training for faculty. Across all institutions, he has shown excellence in teaching, curriculum design, academic support, and student engagement. His ability to adapt his instruction based on learner capabilities has significantly enhanced academic outcomes. Rahman’s teaching is enriched by his research pursuits and practical skills, creating a well-rounded, impactful educational approach that bridges theory, practice, and innovation.

Research Interests

Md Atiqur Rahman’s research interests are centered around sustainable and advanced materials for aerospace applications. His current Ph.D. work at the University of Bolton explores the development and characterization of natural fiber-reinforced polymer composites, with a particular focus on Borassus flabellifer (palmyra palm) husk fibers. He investigates their physical, thermal, mechanical, and dynamic properties to evaluate their viability as lightweight, eco-friendly alternatives to traditional aerospace materials. His broader research interest encompasses aerodynamics, structural mechanics, hypersonic flight technologies, and bio-composite development. By aligning material science with aerospace engineering, Rahman seeks to address the increasing demand for sustainability in aviation. He is particularly drawn to the lifecycle assessment of natural fibers and their transformation through alkali treatments, aiming to enhance their bonding, thermal stability, and mechanical resilience. His work has practical implications for aircraft manufacturing, structural component design, and green engineering practices. He also maintains an interest in the pedagogical methods for engineering education and how research can be translated into real-world classroom application. This multi-dimensional research approach not only contributes to the scientific community but also supports the global push for environmentally responsible aerospace solutions through academic innovation and practical application.

Research Skills

Md Atiqur Rahman possesses a well-rounded and technically proficient set of research skills that support his specialization in material science and aerospace engineering. He is highly skilled in experimental research methodologies, particularly in characterizing bio-composite materials. His hands-on expertise includes the use of advanced lab instruments such as TA Instruments (TGA, DSC, DMA) for thermal analysis, Instron for tensile and flexural testing, and FTIR spectroscopy for chemical characterization. He is also proficient in density and water uptake measurements using pycnometers and ovens, and in the preparation of composite materials through hand lay-up techniques. Rahman complements his experimental skills with strong computational abilities, using tools like Ansys for finite element analysis, SolidWorks and Fusion 360 for design modeling, and Matlab for mathematical modeling and simulations. He applies these tools to optimize material properties and validate experimental outcomes. In addition, he demonstrates strong academic writing and data interpretation skills, having authored several scientific articles. His research workflow also reflects a robust understanding of ethics, literature review, statistical analysis, and research dissemination. These combined skills allow him to carry out comprehensive investigations in aerospace material development and communicate findings effectively to both academic and industry audiences.

Awards and Honors

Md Atiqur Rahman has earned notable recognition for his excellence in both teaching and research throughout his academic career. One of his most distinguished accolades is the Best Lecturer Award (2022) from Cambrian International College of Aviation, a testament to his commitment to student engagement, curriculum innovation, and instructional excellence. His mentorship has also yielded impressive results—most notably when one of his students was selected for the BTEC Award (2021) and received the Bronze Certificate for Engineering Learner of the Year, highlighting his ability to inspire and guide learners toward excellence. In addition to institutional recognition, Rahman is affiliated with several prestigious professional bodies, including the Royal Aeronautical Society (RAeS), The Institution of Structural Engineers (IStructE), and the American Society of Civil Engineers (ASCE). His active involvement in these societies, coupled with his participation in high-profile events like the RAeS Aerodynamics Specialist Conference and Government HE Events, showcases his commitment to lifelong learning and professional development. These honors and memberships not only validate his academic contributions but also underscore his rising influence as an educator and researcher in aerospace engineering, particularly in the field of sustainable materials and advanced manufacturing technologies.

Conclusion

Md Atiqur Rahman stands as a dynamic and impactful figure in the realms of aerospace education and research. His journey—from a dedicated lecturer to an innovative Ph.D. researcher—demonstrates a rare blend of academic rigor, teaching excellence, and research innovation. His work on natural fiber-based composites is not only scientifically significant but also timely, addressing pressing environmental challenges within aerospace engineering. With a growing list of publications, conference presentations, and teaching awards, Rahman has established himself as a promising academic professional committed to excellence. His ability to bridge the gap between research and education ensures that his findings contribute directly to student learning and industry advancement. His diverse teaching experiences across different academic systems further enhance his instructional agility and global outlook. As he continues to expand his research collaborations, aim for high-impact journals, and pursue research leadership roles, his contributions will undoubtedly strengthen the field of sustainable aviation and engineering education. Md Atiqur Rahman is a deserving candidate for recognition such as the Best Researcher Award, with strong potential for continued academic and research leadership. His trajectory reflects both deep expertise and future promise in advancing environmentally responsible technologies within aerospace engineering.

Publications Top Notes

  1. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 2: Insights into Its Thermal and Mechanical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 3

  2. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 1: Insights into Its Physical and Chemical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski
    Year: 2024
    Citations: 3

  3. Title: Effect of Alkali Treatment on Dynamic Mechanical Properties of Borassus Flabellifer Husk Fibre Reinforced Epoxy Composites
    Authors: M.A. Rahman, Mamadou Ndiaye, Bartosz Weclawski, et al.
    Year: 2025
    Citations: 2

  4. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 3: Insights into Its Morphological, Chemical and Thermal Properties after Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 2

  5. Title: Optimizing Borassus Husk Fibre/Epoxy Composites: A Study on Physical, Thermal, Flexural and Dynamic Mechanical Performance
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025
    Citations: 1

  6. Title: Enhancing Thermal and Dynamic Mechanical Properties of Lignocellulosic Borassus Husk Fibre/Epoxy Composites through Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025

Phani Monogya Katikireddi | Engineering | Best Innovator Award

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Mr. Phani Monogya Katikireddi | Engineering | Best Innovator Award

Cloud AI/ML Devops Engineer from USDA, United States

Phani Monogya Katikireddi is a highly accomplished IT professional with over 9.5 years of experience in Cloud AI/ML, DevOps Engineering, Full Stack Development, and Software Engineering. He specializes in integrating AI/ML technologies with scalable cloud infrastructure to develop innovative solutions that enhance business operations. His expertise spans automating workflows, designing robust CI/CD pipelines, and optimizing development lifecycles. In addition to his technical contributions, he has made significant research advancements, publishing multiple papers on AI/ML and DevOps, authoring a book on AI/ML, and securing two patents for innovative solutions. As a recognized thought leader, he serves on the editorial boards of esteemed journals, contributing to the evolution of AI/ML research. His ability to bridge the gap between research and real-world applications positions him as a leading innovator in the field.

Professional Profile

Education

Phani Monogya Katikireddi holds a strong academic background in computer science and engineering. His education has provided him with a solid foundation in AI/ML, cloud computing, and software development. Through continuous learning and advanced coursework, he has honed his expertise in machine learning, neural networks, and DevOps methodologies. His academic journey has been instrumental in shaping his innovative approach to integrating AI/ML with DevOps.

Professional Experience

With nearly a decade of experience, Phani has worked in various roles, including Cloud AI/ML DevOps Engineer and Full Stack Developer. His work has focused on designing AI-driven solutions, automating software delivery processes, and enhancing system reliability. His contributions to cloud-native architectures and intelligent automation have improved the efficiency and scalability of enterprise applications. His technical leadership and problem-solving skills have played a pivotal role in driving innovation in the IT industry.

Research Interest

Phani’s research interests lie in AI/ML, deep learning, DevOps automation, and cloud computing. He is particularly focused on integrating AI with DevOps to enhance software development and deployment processes. His work explores predictive modeling, machine learning pipeline automation, and the impact of AI on system performance and scalability. His research aims to bridge the gap between theoretical advancements and real-world applications in enterprise IT.

Research Skills

Phani possesses strong research skills, including AI/ML algorithm development, neural network optimization, cloud infrastructure management, and DevOps automation. He is adept at conducting experimental research, data analysis, and model validation. His ability to translate research findings into practical solutions has contributed to advancements in AI-driven automation. He also has experience in publishing research papers and collaborating with industry experts to push the boundaries of AI/ML and DevOps.

Awards and Honors

Phani has received notable recognition for his contributions to AI/ML and DevOps. He holds two patents for AI/ML innovations and has authored a well-regarded book on the subject. His research papers have been published in prestigious journals, and he actively participates as an editorial board member. His expertise and contributions to the field have positioned him as a distinguished professional and innovator.

Conclusion

Phani Monogya Katikireddi is a visionary IT professional with a passion for innovation in AI/ML and DevOps. His extensive experience, research contributions, and technical expertise make him a strong candidate for recognition as a leading innovator in the field. His ability to merge academic research with practical applications has had a profound impact on software development and cloud computing. His dedication to advancing AI/ML and DevOps positions him as a key contributor to technological progress and industry transformation.

Publications Top Notes

  1. Revolutionizing DEVOPS with Quantum Computing: Accelerating CI/CD pipelines through Advanced Computational Techniques

    • Authors: PM Katikireddi, P Singirikonda, Y Vasa

    • Year: 2021

  2. Music and Art Generation Using Generative AI

    • Authors: S Jaini, PM Katikireddi

    • Year: 2022

  3. Applications of Generative AI in Healthcare

    • Authors: S Jaini, PM Katikireddi

    • Year: 2022

  4. In Generative AI: Zero-Shot and Few-Shot

    • Authors: PM Katikireddi, S Jaini

    • Year: 2022

 

Zahra Kazemi | Mechanical Engineering | Best Researcher Award

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Dr. Zahra Kazemi | Mechanical Engineering | Best Researcher Award

Assistant Professor from Shiraz University of Technology, Iran

Dr. Zahra Kazemi is an Assistant Professor in the Department of Mechanical Engineering at Shiraz University of Technology. She holds a Ph.D. in Mechanical Engineering from Shiraz University and has completed two postdoctoral research fellowships. Her research primarily focuses on advanced manufacturing processes, including Selective Laser Melting (SLM), Laser Powder Bed Fusion (LPBF), and computational modeling for material and load identification. She has published extensively in high-impact journals and has presented her work at various international conferences. Her contributions to numerical simulations and optimization methods have significantly advanced the understanding of defect reduction and material behavior in additive manufacturing. With strong expertise in experimental and computational methods, Dr. Kazemi continues to contribute to the field through interdisciplinary research and collaboration.

Professional Profile

Education

Dr. Kazemi completed her Bachelor’s and Master’s degrees in Mechanical Engineering before earning her Ph.D. from Shiraz University. During her doctoral studies, she specialized in computational modeling and inverse analysis for material behavior prediction. Following her Ph.D., she pursued postdoctoral research, focusing on precision instrumentation design and optimization of advanced manufacturing processes such as SLM. Her academic journey has equipped her with a strong foundation in numerical simulations, experimental validation, and optimization techniques for industrial applications.

Professional Experience

Dr. Kazemi has held academic and research positions in mechanical engineering, focusing on additive manufacturing and numerical modeling. She is currently an Assistant Professor at Shiraz University of Technology, where she teaches undergraduate and graduate courses while conducting advanced research. She has also worked as a postdoctoral researcher, contributing to the development of precision instruments and optimization of laser-based manufacturing techniques. Her professional experience includes supervising research projects, mentoring students, and collaborating with experts in computational mechanics, thermal engineering, and materials science.

Research Interests

Dr. Kazemi’s research interests include additive manufacturing, computational modeling, inverse analysis, and material behavior prediction. She is particularly focused on enhancing the performance of metal structures manufactured using SLM through simulation and experimental validation. Additionally, her work on load and material identification using inverse analysis contributes to the accurate characterization of viscoplastic materials. She is also interested in applying machine learning techniques to optimize manufacturing processes and reduce defects in industrial applications.

Research Skills

Dr. Kazemi possesses strong expertise in numerical simulations, finite element analysis, and computational mechanics. She is proficient in using advanced software tools for modeling and optimization of manufacturing processes. Her skills extend to experimental validation techniques, including thermal and structural analysis of manufactured components. She is also experienced in meshfree analysis methods, load identification techniques, and optimization strategies for material design. With a background in interdisciplinary research, she effectively integrates computational and experimental approaches to improve engineering solutions.

Awards and Honors

Dr. Kazemi has received recognition for her contributions to mechanical engineering through awards and conference presentations. She has been acknowledged for her research excellence in additive manufacturing and material optimization. Her work has been published in leading journals, and she has received invitations to speak at international conferences. She has also been involved in collaborative projects that have been recognized for their impact on manufacturing innovation and computational analysis.

Conclusion

Dr. Zahra Kazemi is a distinguished researcher in mechanical engineering, specializing in additive manufacturing and computational modeling. With a strong academic background, extensive publication record, and expertise in numerical and experimental research, she continues to contribute significantly to her field. Her dedication to advancing manufacturing techniques and material analysis positions her as a valuable asset to the academic and research community. By expanding her collaborations, securing research funding, and further developing industrial applications of her work, she can further enhance her impact in mechanical engineering and beyond.

Publications Top Notes

  1. Title: Melting process of the nano-enhanced phase change material (NePCM) in an optimized design of shell and tube thermal energy storage (TES): Taguchi optimization approach
    Authors: M. Ghalambaz, S.A.M. Mehryan, A. Veismoradi, M. Mahdavi, I. Zahmatkesh, …
    Year: 2021
    Citations: 72

  2. Title: Meshfree radial point interpolation method for analysis of viscoplastic problems
    Authors: Z. Kazemi, M.R. Hematiyan, R. Vaghefi
    Year: 2017
    Citations: 30

  3. Title: Melting pool simulation of 316L samples manufactured by Selective Laser Melting method, comparison with experimental results
    Authors: Z. Kazemi, M. Soleimani, H. Rokhgireh, A. Nayebi
    Year: 2022
    Citations: 25

  4. Title: Optimum configuration of a metal foam layer for a fast thermal charging energy storage unit: a numerical study
    Authors: S.A.M. Mehryan, K.A. Ayoubloo, M. Mahdavi, O. Younis, Z. Kazemi, M. Ghodrat, …
    Year: 2022
    Citations: 18

  5. Title: Load identification for viscoplastic materials with some unknown material parameters
    Authors: Z. Kazemi, M.R. Hematiyan, Y.C. Shiah
    Year: 2019
    Citations: 18

  6. Title: An efficient load identification for viscoplastic materials by an inverse meshfree analysis
    Authors: Z. Kazemi, M.R. Hematiyan, Y.C. Shiah
    Year: 2018
    Citations: 12

  7. Title: Inverse determination of time-dependent loads in viscoplastic deformations using strain measurements in the deformed configuration
    Authors: Z. Kazemi, M.R. Hematiyan
    Year: 2018
    Citations: 4

  8. Title: A Multiobjective Optimization of Laser Powder Bed Fusion Process Parameters to Reduce Defects by Modified Taguchi Method
    Authors: Z. Kazemi, R. Nayebi, A. M. Hojjatollah, M. Soleimani
    Year: 2025

  9. Title: تحلیل کانال پسا برای یک بالانس داخلی تونل باد با در نظر گرفتن قابلیت ساخت‎
    Authors: زهرا کاظمی، محمدحسن منتظری، محمد مهدی علیشاهی‎
    Year: 2024

  10. Title: Residual Stress of 316L Samples Manufactured by Selective Laser Melting Method with Consideration of Evaporation
    Authors: Z. Kazemi, H. Rokhgireh, A. Nayebi
    Year: 2023

  11. Title: Selective Laser Melting Defects: Morphology of Defects Due to Lack of Fusion and Evaporation Pores
    Authors: A.N. Zahra Kazemi, Hojjatollah Rokhgireh
    Year: 2023

  12. Title: Residual Stress of 316L Samples Manufactured by Selective Laser Melting Method with Consideration of Evaporation
    Authors: A.N. Zahra Kazemi, Hojjatollah Rokhgireh
    Year: 2023

  13. Title: The Effect of Process Parameters on the Residual Deformation of 316L Samples Manufactured by Selective Laser Melting Method with Consideration of Evaporation
    Authors: A.N. Zahra Kazemi, Hojjatollah Rokhgireh
    Year: 2023

 

Sandeep Belidhe | Engineering | Best Innovation Award

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Mr. Sandeep Belidhe | Engineering | Best Innovation Award

DevSecOps Engineer at Sparksoft Corp, United States

Sandeep Belidhe is a highly experienced IT professional with over 10.5 years of expertise in DevSecOps, DevOps Cloud Engineering, Release Engineering, and Middleware Administration. His career has been dedicated to integrating AI, machine learning (ML), and security automation within cloud environments to enhance operational efficiency and risk mitigation. Through his extensive research and development, he has significantly contributed to AI-driven DevSecOps, leading to multiple scholarly publications, two patents, and an authored book on AI/ML. His research has focused on bridging the gap between artificial intelligence, deep learning, and IT automation, revolutionizing the way security and efficiency are managed in cloud computing. By successfully deploying intelligent, scalable, and secure IT solutions, he has influenced industry best practices and innovation. Additionally, his role as a mentor and thought leader has allowed him to guide professionals in adopting cutting-edge AI solutions in DevOps. With a track record of innovation, leadership, and technical excellence, Sandeep continues to push the boundaries of AI-driven IT automation and security. His contributions make him a strong candidate for recognition as a top researcher in the field, further solidifying his impact on DevSecOps and AI integration in cloud computing.

Professional Profile

Education

Sandeep Belidhe has built a strong academic foundation in computer science, artificial intelligence, and cloud security, enabling him to contribute extensively to AI-integrated DevSecOps solutions. His educational journey has equipped him with advanced knowledge in software development, deep learning, cybersecurity, and automation, shaping his research and professional expertise. He holds a Bachelor’s Degree in Computer Science & Engineering, which provided him with essential skills in programming, system architecture, and IT infrastructure management. To further enhance his expertise, he pursued a Master’s Degree in Artificial Intelligence & Machine Learning, focusing on deep learning, neural networks, and AI-driven security frameworks. In addition to his formal education, he has acquired multiple industry-recognized certifications in DevSecOps, Cloud Computing, AI/ML, and Security, keeping him at the forefront of technological advancements. His continuous learning approach ensures that he stays updated with emerging trends and best practices, further enhancing his ability to drive research and innovation in AI-powered DevOps security.

Professional Experience

Sandeep Belidhe has amassed over a decade of experience in DevSecOps, Cloud Engineering, AI/ML, and Middleware Administration, working with leading technology firms and research institutions. His expertise in security automation, AI-driven DevOps, and scalable cloud architectures has allowed him to deliver innovative and high-impact IT solutions. Throughout his career, he has held various key positions, including DevSecOps Engineer, AI & ML Researcher, Middleware & Release Engineer, and Patent Innovator. As a DevSecOps and Cloud Engineer, he has played a critical role in ensuring secure, automated, and scalable IT environments. His work in AI and ML research has led to the development of intelligent security automation frameworks, contributing significantly to the field. He has also been instrumental in optimizing middleware solutions, release management, and application security, ensuring seamless CI/CD integration and operational efficiency. His pioneering research, combined with real-world applications, positions him as a leading expert in AI-driven DevSecOps, making substantial contributions to cloud security, automation, and IT infrastructure advancements.

Research Interest

Sandeep Belidhe’s research focuses on AI-driven automation, security, and scalability in cloud computing and DevSecOps. His primary goal is to develop intelligent and adaptive security solutions that enhance cloud infrastructure protection, automation, and operational efficiency. His key research areas include AI-driven DevOps security, where he integrates machine learning algorithms to predict security threats, automate compliance checks, and optimize CI/CD workflows. He is also deeply involved in deep learning and neural network applications, exploring their role in enhancing IT performance monitoring, cybersecurity, and anomaly detection. Additionally, he specializes in cloud engineering and automation, developing strategies for securing cloud-based infrastructures through AI-powered insights. His research has led to published papers, patents, and contributions to industry best practices, reinforcing his position as an innovative thought leader in AI-driven IT automation and security.

Research Skills

Sandeep Belidhe possesses a diverse set of technical and analytical skills that enable him to conduct cutting-edge research in AI, DevSecOps, and cloud security. His expertise includes AI and ML algorithm development, where he applies deep learning techniques to cybersecurity challenges, improving threat detection and automated security solutions. His knowledge in cloud security and DevSecOps allows him to build scalable and automated security infrastructures, integrating AI-driven analytics for proactive threat management. He has also mastered big data analytics and predictive security, leveraging data-driven insights to enhance IT automation and risk mitigation. Additionally, he excels in software development, middleware engineering, and automation scripting, providing the technical foundation for deploying high-performance, secure, and efficient systems. His ability to translate research into real-world applications makes him an industry leader in AI-powered DevSecOps innovations.

Awards and Honors

Sandeep Belidhe has been recognized for his groundbreaking contributions to AI, ML, DevSecOps, and cloud security, earning prestigious awards, patents, and professional honors. His ability to innovate and push the boundaries of AI-driven automation and security has positioned him as a leading researcher and industry expert. One of his most significant achievements is holding two patents in AI-integrated security solutions, which highlight his pioneering work in intelligent automation frameworks. Additionally, he has been awarded for research excellence, receiving Best Research Paper Awards for his contributions to AI-driven DevOps security. As an author, he has published a comprehensive book on AI/ML, serving as a valuable educational resource for researchers, professionals, and students. His industry certifications and recognitions further emphasize his expertise and commitment to advancing AI and DevSecOps research.

Conclusion

Sandeep Belidhe is a distinguished researcher and IT professional, with a strong background in AI, ML, DevSecOps, and cloud security. His 10.5 years of experience, combined with his patents, scholarly publications, and industry contributions, make him a key innovator in AI-driven IT automation. His commitment to research, innovation, and knowledge sharing has not only led to high-impact technological advancements but has also influenced industry best practices. By continuously mentoring professionals, collaborating with research institutions, and developing AI-powered security solutions, he has played a transformative role in DevSecOps and cloud computing. Sandeep’s ability to integrate AI-driven automation with security frameworks sets him apart as a leader in the IT industry. His dedication to continuous learning, technical excellence, and real-world applications makes him a strong candidate for recognition as a top researcher in AI-integrated DevSecOps and cloud security.

Publications Top Notes

  1. Title: Deep Fake Detection with Hybrid Activation Function Enabled Adaptive Milvus Optimization-Based Deep Convolutional Neural Network
    Authors: H. Mashetty, N. Erukulla, S. Belidhe, N. Jella, V. Reddy Pishati, B.K. Enesheti
    Year: 2025

  2. Title: Explainable AI and Deep Neural Networks for Continuous PCI DSS Compliance Monitoring
    Authors: S.K.D. Sandeep Belidhe, Phani Monogya Katikireddi
    Year: 2024

  3. Title: Applying Deep Q-Learning for Optimized Resource Management in Secure Multi-Cloud DevOps
    Authors: S. Belidhe
    Year: 2022

  4. Title: AI-Driven Governance for DevOps Compliance
    Authors: S. Belidhe
    Year: 2022

  5. Title: Transparent Compliance Management in DevOps Using Explainable AI for Risk Assessment
    Authors: S. Belidhe
    Year: 2022

  6. Title: Using Deep Reinforcement Learning to Defend Conversational AI Against Adversarial Threats
    Authors: S.K.D. Phani Monogya Katikireddi, Sandeep Belidhe
    Year: 2021

  7. Title: Machine Learning Approaches for Optimal Resource Allocation in Kubernetes Environments
    Authors: S.B. Sandeep Kumar Dasa, Phani Monogya Katikireddi
    Year: 2021

  8. Title: Intelligent Cybersecurity: Enhancing Threat Detection through Hybrid Anomaly Detection Techniques
    Authors: S.B. Phani Monogya Katikireddi, Sandeep Kumar Dasa
    Year: 2021

  9. Title: Optimizing Object Detection in Dynamic Environments with Low-Visibility Conditions
    Authors: S. Belidhe, S.K. Dasa, S. Jaini

Jaemin Baek | Engineering | Best Researcher Award

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Prof. Jaemin Baek | Engineering | Best Researcher Award

Professor at Gangneung-Wonju National University, South Korea

Prof. Jaemin Baek is a distinguished researcher and academician specializing in robotics, control theory, and mechatronics. He earned his B.S. degree in Mechanical Engineering from Korea University in 2012 and later completed his Ph.D. in IT Engineering through a joint M.S.-Ph.D. program at Pohang University of Science and Technology (POSTECH) in 2018. His doctoral research focused on time-delayed control schemes and their application to robotic systems. From 2018 to 2020, he served as a senior researcher at the Agency for Defense Development (ADD) in Daejeon, South Korea, where he worked on advanced control systems. Since 2020, he has been an Associate Professor in the Department of Mechanical Engineering at Gangneung-Wonju National University (GWNU). His expertise extends to adaptive and robust control, robot manipulator control, wearable robotics, mechatronics, and synthetic aperture radar (SAR) imaging. Prof. Baek has made significant contributions to academia through numerous high-impact journal articles and conference papers. His research is instrumental in developing advanced control methodologies for robotic and autonomous systems. With a passion for innovation and engineering excellence, he continues to drive advancements in control systems and robotics, contributing to both theoretical and applied aspects of these fields.

Professional Profile

Education

Prof. Jaemin Baek holds a Ph.D. in IT Engineering from Pohang University of Science and Technology (POSTECH), which he completed in 2018. His doctoral research focused on robotics, control theory, robot control, mechatronics, and artificial intelligence, culminating in his thesis titled “A Study on Time-delayed Control Schemes and Its Application to Robotic Systems.” His graduate studies emphasized adaptive control strategies and their real-world applications in robotic manipulation and autonomous systems. Prior to this, he earned his B.S. degree in Mechanical Engineering from Korea University in 2012, where he gained a strong foundation in advanced mechanical engineering principles. His undergraduate studies provided him with critical insights into mechanical design, system dynamics, and automation, forming the basis for his later work in robotics. His multidisciplinary academic background equips him with a comprehensive understanding of both the theoretical and practical aspects of control engineering. His rigorous training at two of South Korea’s top institutions has shaped his expertise in designing sophisticated robotic control systems. Through continuous research and academic contributions, Prof. Baek remains committed to pushing the boundaries of innovation in control theory and robotics.

Professional Experience

Prof. Jaemin Baek has an extensive professional background in academia and research. Since 2020, he has served as an Associate Professor in the Department of Mechanical Engineering at Gangneung-Wonju National University (GWNU), where he teaches and conducts research on advanced robotics, control systems, and signal processing. Prior to his current role, he was a Senior Researcher at the Agency for Defense Development (ADD) from 2018 to 2020, where he worked on defense-related control technologies and developed cutting-edge methodologies for autonomous systems. His tenure at ADD provided him with valuable experience in applying theoretical control concepts to practical defense applications. In addition to his academic and research responsibilities, Prof. Baek has contributed to numerous high-impact journal articles, furthering advancements in robotics and control engineering. His professional journey reflects his dedication to bridging the gap between theoretical research and practical implementation. He continues to mentor students, collaborate with industry experts, and contribute to the scientific community through his research in adaptive and robust control, robotic manipulation, and synthetic aperture radar (SAR) imaging. His expertise is highly regarded in both academic and industrial circles, making him a prominent figure in his field.

Research Interests

Prof. Jaemin Baek’s research interests encompass a broad range of topics in robotics and control systems. His primary focus areas include adaptive and robust control, time-delayed control schemes, robot manipulator control, wearable robotics, mechatronics, and synthetic aperture radar (SAR) imaging. He has extensively studied time-delayed control strategies and their applications in robotic systems, leading to the development of novel methodologies that enhance system stability and performance. His work on adaptive sliding-mode control has contributed to improvements in trajectory tracking and precision in robotic manipulators. Additionally, Prof. Baek is involved in research on signal processing for SAR imaging, optimizing radar-based imaging techniques for various applications. His interdisciplinary approach integrates elements of artificial intelligence and machine learning to refine control algorithms and enhance robotic functionality. Through his research, he aims to advance the efficiency and reliability of autonomous and robotic systems in diverse environments. His contributions have been widely recognized in the scientific community, with multiple publications in prestigious journals and conferences. Prof. Baek’s innovative work continues to shape the future of robotics and control engineering, making significant strides in both theoretical development and real-world applications.

Research Skills

Prof. Jaemin Baek possesses a diverse set of research skills that enable him to excel in control engineering and robotics. His expertise in adaptive and robust control design allows him to develop high-precision robotic control systems that function effectively under uncertain conditions. He is proficient in time-delayed control techniques, ensuring improved stability and performance in robotic applications. His skills extend to mechatronics and signal processing, particularly in synthetic aperture radar (SAR) imaging, where he applies advanced computational methods to enhance radar-based imaging systems. Prof. Baek has substantial experience in developing sliding-mode control algorithms, which have been successfully applied to robot manipulators and autonomous systems. Additionally, he has strong analytical skills in mathematical modeling and simulation, utilizing platforms like MATLAB and Simulink for system analysis and control design. His expertise in artificial intelligence and machine learning enables him to optimize control algorithms for enhanced automation. With a strong publication record in high-impact journals, Prof. Baek demonstrates his ability to conduct cutting-edge research and contribute to advancements in his field. His diverse skill set positions him as a leading researcher in robotics and control engineering.

Awards and Honors

Throughout his career, Prof. Jaemin Baek has received several awards and honors in recognition of his contributions to control engineering and robotics. His research on adaptive control, robot manipulator systems, and SAR imaging has earned him accolades from both academic and industry circles. He has been recognized for his high-impact journal publications in IEEE Transactions, Applied Sciences, and other top-tier journals, demonstrating his excellence in research. His contributions to sliding-mode control and time-delayed control methodologies have been widely cited, highlighting their significance in the field. In addition to his academic achievements, he has been invited to present at prestigious international conferences, where he has shared insights into advanced control strategies and robotics applications. His work at the Agency for Defense Development (ADD) also earned him commendations for his contributions to national defense research projects. As an influential figure in robotics and control engineering, Prof. Baek continues to receive recognition for his innovative research, solidifying his reputation as a leading expert in the field. His awards and honors underscore his commitment to advancing technology and engineering excellence.

Conclusion

Prof. Jaemin Baek is a highly accomplished researcher and educator whose contributions to robotics, control engineering, and mechatronics have significantly impacted the field. With a solid academic foundation from Korea University and POSTECH, he has built a career dedicated to advancing adaptive control systems, time-delayed control strategies, and robotic manipulation. His professional experience spans both academia and defense research, demonstrating his ability to apply theoretical innovations to practical applications. His research interests in robotics, artificial intelligence, and SAR imaging have led to groundbreaking developments in control methodologies. His extensive publication record and numerous accolades highlight his influence and expertise. As an Associate Professor at Gangneung-Wonju National University, he continues to mentor students, conduct pioneering research, and contribute to the scientific community. His diverse skill set and interdisciplinary approach make him a driving force in robotics and automation. Prof. Baek’s ongoing work promises to shape the future of intelligent control systems and robotics, ensuring continued advancements in engineering and technology. His dedication to innovation and excellence establishes him as a leading figure in his field, inspiring the next generation of researchers and engineers.

Publications Top Notes

  1. Compressive Sensing-Based Omega-K Algorithm for SAR Focusing”

    • Authors: M. Kang (Minseok), J. Baek (Jaemin)
    • Year: 2025

  2. “Effective Denoising of InSAR Phase Images via Compressive Sensing”

    • Authors: M. Kang (Minseok), J. Baek (Jaemin)
    • Year: 2024
    • Citations: 1

  3. “Dynamic Model Learning and Control of Robot Manipulator Based on Multi-layer Perceptron Neural Network”

    • Authors: S. Shin (Seungcheon), M. Kang (Minseok), J. Baek (Jaemin)
    • Year: 2023

 

 

Chuan-Pei Lee | Chemical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Chuan-Pei Lee | Chemical Engineering | Best Researcher Award

Associate Professor at Department of Applied Physics and Chemistry/University of Taipei, Taiwan

Professor Chuan-Pei Lee is an esteemed researcher in the fields of nanomaterials, solar energy, and electrochemical applications. Currently serving as an Associate Professor in the Department of Applied Physics and Chemistry at the University of Taipei, he has made significant contributions to renewable energy research. With a Ph.D. in Chemical Engineering from National Taiwan University, his expertise spans photocatalysis, energy storage devices, and water-splitting technologies. Prof. Lee has authored 117 SCI papers and 13 book chapters, earning a Google Scholar citation count of 5,537 with an H-index of 44. His research has been published in high-impact journals such as ACS Omega, Nano Energy, and J. Mater. Chem. A. Additionally, he has collaborated with international researchers and contributed to advancing sustainable energy solutions. His dedication to interdisciplinary research and scientific advancements makes him a prominent figure in his field.

Professional Profile

Education

Prof. Chuan-Pei Lee received his Ph.D. in Chemical Engineering from National Taiwan University in 2012, where he specialized in nanomaterials and energy conversion systems. His doctoral research focused on the synthesis and application of functional materials for energy devices, including dye-sensitized solar cells and electrocatalysts. Prior to his Ph.D., he completed his Master’s and Bachelor’s degrees in related fields, building a strong foundation in applied chemistry and physics. To further his expertise, he pursued postdoctoral research at the University of California, Berkeley, where he worked on 2D-layered transition metal dichalcogenides for electrochemical energy applications. His academic journey has been marked by a commitment to advancing energy-efficient technologies and exploring innovative nanostructured materials.

Professional Experience

Prof. Chuan-Pei Lee has held multiple academic and research positions that reflect his dedication to scientific innovation. Since joining the University of Taipei as an Associate Professor, he has led various research initiatives focusing on energy storage, nanomaterial synthesis, and catalysis. Prior to his current role, he conducted postdoctoral research at the University of California, Berkeley, where he explored the properties of 2D materials for energy applications. Over the years, he has collaborated with leading institutions and research groups, contributing to breakthrough studies in sustainable energy and nanotechnology. His work extends beyond academia, involving participation in industrial research projects and government-funded studies aimed at developing next-generation energy solutions.

Research Interests

Prof. Lee’s research interests revolve around renewable energy and nanotechnology. His work primarily focuses on the synthesis and application of nanomaterials for energy storage and conversion, including supercapacitors, photocatalytic CO₂ reduction, and dye-sensitized solar cells. He is particularly interested in exploring novel electrocatalysts for hydrogen evolution and oxygen reduction reactions, aiming to improve the efficiency of energy conversion devices. His studies on carbon-based materials, metal oxides, and transition metal dichalcogenides contribute to advancements in sustainable and efficient energy technologies. By integrating electrochemical techniques, he seeks to develop cost-effective and environmentally friendly energy solutions.

Research Skills

Prof. Lee possesses extensive expertise in nanomaterials synthesis, electrochemical analysis, and energy device fabrication. He is proficient in advanced characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) for material analysis. His experience includes the development of thin-film electrodes, nanostructured catalysts, and hybrid composite materials for solar energy applications. Additionally, he specializes in electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV) to evaluate the performance of energy storage systems. His ability to integrate materials science with electrochemical engineering makes him a versatile researcher in the field of applied physics and chemistry.

Awards and Honors

Prof. Chuan-Pei Lee has received several awards and recognitions for his outstanding contributions to research. His high-impact publications and innovative work in nanotechnology have earned him accolades from prestigious institutions and scientific societies. He has been recognized for his contributions to sustainable energy research and has received grants for his pioneering studies on nanostructured materials. His role as a corresponding author in multiple high-impact journals highlights his influence in the field. Additionally, he has been invited to present his research at international conferences and symposiums, further solidifying his reputation as a leading expert in applied physics and chemistry.

Conclusion

Prof. Chuan-Pei Lee is a highly accomplished researcher with a strong academic background, significant research contributions, and extensive expertise in nanomaterials and energy applications. His work in sustainable energy technologies, coupled with his proficiency in electrochemical techniques, has positioned him as a leader in his field. With a remarkable publication record and international collaborations, he continues to drive advancements in energy storage and conversion. His dedication to scientific discovery and innovation makes him a deserving candidate for prestigious research awards. Moving forward, his contributions to renewable energy solutions will play a crucial role in shaping the future of clean energy technologies.

Publications Top Notes

  1. Title: Use of organic materials in dye-sensitized solar cells
    Authors: CP Lee, CT Li, KC Ho
    Year: 2017
    Citations: 342

  2. Title: Recent progress in organic sensitizers for dye-sensitized solar cells
    Authors: CP Lee, RYY Lin, LY Lin, CT Li, TC Chu, SS Sun, JT Lin, KC Ho
    Year: 2015
    Citations: 270

  3. Title: Organic dyes containing carbazole as donor and π-linker: optical, electrochemical, and photovoltaic properties
    Authors: A Venkateswararao, KRJ Thomas, CP Lee, CT Li, KC Ho
    Year: 2014
    Citations: 200

  4. Title: A paper-based electrode using a graphene dot/PEDOT: PSS composite for flexible solar cells
    Authors: CP Lee, KY Lai, CA Lin, CT Li, KC Ho, CI Wu, SP Lau, JH He
    Year: 2017
    Citations: 163

  5. Title: Conducting polymer-based counter electrode for a quantum-dot-sensitized solar cell (QDSSC) with a polysulfide electrolyte
    Authors: MH Yeh, CP Lee, CY Chou, LY Lin, HY Wei, CW Chu, R Vittal, KC Ho
    Year: 2011
    Citations: 142

  6. Title: Iodine-free high efficient quasi solid-state dye-sensitized solar cell containing ionic liquid and polyaniline-loaded carbon black
    Authors: CP Lee, PY Chen, R Vittal, KC Ho
    Year: 2010
    Citations: 135

  7. Title: Unsymmetrical squaraines incorporating the thiophene unit for panchromatic dye-sensitized solar cells
    Authors: JY Li, CY Chen, CP Lee, SC Chen, TH Lin, HH Tsai, KC Ho, CG Wu
    Year: 2010
    Citations: 109

  8. Title: 2,7-Diaminofluorene-based organic dyes for dye-sensitized solar cells: effect of auxiliary donor on optical and electrochemical properties
    Authors: A Baheti, P Singh, CP Lee, KRJ Thomas, KC Ho
    Year: 2011
    Citations: 108

  9. Title: Beaded stream-like CoSe₂ nanoneedle array for efficient hydrogen evolution electrocatalysis
    Authors: CP Lee, WF Chen, T Billo, YG Lin, FY Fu, S Samireddi, CH Lee, …
    Year: 2016
    Citations: 98

  10. Title: Fluorene-based sensitizers with a phenothiazine donor: effect of mode of donor tethering on the performance of dye-sensitized solar cells
    Authors: A Baheti, KR Justin Thomas, CT Li, CP Lee, KC Ho
    Year: 2015
    Citations: 95

Abrham Kassie | Engineering | Best Researcher Award

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Mr. Abrham Kassie | Engineering | Best Researcher Award

Lecturer at Bahir Dar Institute of Technology, Bahir Dar University, Ethiopia

Abrham Tadesse Kassie is a dedicated researcher and academic specializing in electrical and computer engineering, particularly in industrial control and instrumentation. With a strong background in control systems, renewable energy, and artificial intelligence-based control strategies, he has contributed significantly to the field through research and teaching. He has served as a lecturer at Bahir Dar University and Debre Tabor University, mentoring students and conducting advanced research. His expertise spans control system design for robotics, electric vehicles, renewable energy systems, and smart grids. Through numerous publications and ongoing research, he continues to advance the field of intelligent control systems.

Professional Profile

Education

Abrham Tadesse Kassie obtained a Bachelor of Science degree in Electrical and Computer Engineering (Industrial Control Engineering) from Hawassa University in 2015, graduating with distinction. He then pursued a Master of Science in Electrical and Computer Engineering (Control and Instrumentation Engineering) at Addis Ababa Science and Technology University, earning his degree in 2019 with honors. His coursework included advanced studies in optimal control, nonlinear and adaptive control, digital signal processing, embedded systems, and artificial intelligence-based control. His strong academic performance reflects his commitment to excellence in engineering and research.

Professional Experience

Mr. Kassie has extensive teaching and research experience. He began his academic career as an Assistant Lecturer at Debre Tabor University in 2015 before being promoted to Lecturer in 2019. In 2021, he joined Bahir Dar Institute of Technology, Bahir Dar University, where he continues to serve as a Lecturer. Additionally, from November 2022 to January 2025, he held the position of Chairholder of Industrial Control Engineering (ABET Accredited) at Bahir Dar University. His role involves curriculum development, research supervision, and leading innovative projects in control engineering.

Research Interest

His research interests are centered around control system design for robotics, electric vehicles, renewable energy, airborne wind energy, and smart grids/microgrids. He is particularly focused on developing intelligent control strategies using machine learning and optimization techniques. His work includes designing adaptive and robust controllers for renewable energy applications, trajectory tracking for robotic systems, and enhancing the efficiency of industrial control processes. His research aims to bridge the gap between theoretical advancements and real-world engineering applications.

Research Skills

Mr. Kassie possesses strong technical skills in programming languages, modeling, and simulation software. He is proficient in Python, C++, C, Java, MATLAB, and TIA Portal for PLC programming. Additionally, he has expertise in using simulation tools like Multisim, Proteus, Circuit Maker, and LabVIEW for system modeling and testing. His expertise extends to machine learning applications in control systems, optimization techniques, and intelligent control algorithms. His ability to integrate theoretical models with practical implementations makes him a valuable contributor to advanced engineering research.

Awards and Honors

Throughout his academic journey, Mr. Kassie has received recognition for his outstanding performance. He graduated with distinction during his undergraduate studies and earned his Master’s degree with honors. His role as Chairholder of Industrial Control Engineering at Bahir Dar University is a testament to his leadership and contributions to academia. Additionally, his research publications have gained citations and recognition, demonstrating the impact of his work in the field of electrical and control engineering.

Conclusion

Abrham Tadesse Kassie is a highly skilled researcher with a strong academic and professional background in electrical and control engineering. His contributions to intelligent control systems, renewable energy, and robotics highlight his commitment to advancing technology. While his research is impactful, expanding international collaborations and increasing publication impact can further strengthen his recognition in the field. His expertise, dedication, and innovative mindset make him a strong candidate for the Best Researcher Award.

Publications Top Notes

  1. Title: Design of Neuro Fuzzy Sliding Mode Controller for Active Magnetic Bearing Control System

    • Authors: HF Asres, AT Kassie
    • Year: 2023
    • Citations: 5

  2. Title: Evaluation of intelligent PPI controller for the performance enhancement of speed control of induction motor

    • Authors: TG Workineh, YB Jember, AT Kassie
    • Year: 2023
    • Citations: 3

  3. Title: Direct Adaptive Fuzzy PI Strategy for a Smooth MPPT of Variable Speed Wind Turbines

    • Authors: A Tadesse, E Ayenew, V LNK
    • Year: 2021
    • Citations: 2

  4. Title: Dynamic programming strategy in optimal controller design for a wind turbine system

    • Authors: A Abate Mitaw, A Tadesse Kassie, D Shiferaw Negash
    • Year: 2024

  5. Title: Fuzzy Model Based Model Predictive Control for Biomass Boiler

    • Authors: GA Nibiret, AT Kassie
    • Year: 2024

  6. Title: Wind Energy Resource Potential Evaluation based on Statistical Distribution Models at Four Selected Locations in Amhara Region, Ethiopia

    • Authors: YB Jember, GL Hailu, AT Kassie, DA Bimrew
    • Year: 2023

  7. Title: Direct Adaptive Fuzzy Proportional Integral Strategy for a Combined Maximum Power Point Tracking-Pitch Angle Control of Variable Speed Wind Turbine

    • Authors: AT Kassie
    • Year: 2019

 

Yang Xiang | Structural Engineering | Best Researcher Award

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Assoc. Prof. Dr. Yang Xiang | Structural Engineering | Best Researcher Award

Vice Director of Tongji-CSCEC-Lanke Collaborating Research Center for Metallic Damper Technologies, Tongji University, China

Dr. Yang Xiang is an Associate Professor at Tongji University, specializing in the aseismic design of building structures. His research focuses on seismic response analysis, performance evaluation, and resilience enhancement techniques. With a Doctor of Engineering degree from Tongji University, he has extensive academic and research experience, having worked at Tokyo Institute of Technology and Kyoto University. His contributions to structural engineering and earthquake-resistant design have been recognized through prestigious national awards and editorial roles in leading journals. Dr. Xiang has also secured significant research funding and played a key role in national and international research projects. His expertise and dedication to advancing structural safety make him a prominent figure in his field.

Professional Profile

Education

Dr. Yang Xiang has a strong academic background in structural and civil engineering. He earned his Doctor of Engineering degree from Tongji University in 2018, focusing on earthquake-resistant building structures. Prior to this, he completed his Master’s degree in Structural Engineering from the same university in 2012. His undergraduate studies in Civil Engineering were conducted at Taiyuan University of Technology, where he built a strong foundation in engineering principles. His academic journey has been centered on understanding, analyzing, and designing structures to withstand seismic events. Through his studies at top engineering institutions, Dr. Xiang has developed expertise in both theoretical research and practical applications of seismic resilience in construction.

Professional Experience

Dr. Xiang has held key research and academic positions at renowned institutions in China and Japan. From 2018 to 2020, he was a JSPS Research Fellow at Kyoto University, conducting advanced research on structural resilience. He then joined Tokyo Institute of Technology as a Postdoctoral Research Fellow in 2020, later serving as an Assistant Professor in 2021. His tenure in Japan allowed him to collaborate on cutting-edge earthquake engineering research. In 2021, he returned to Tongji University as an Associate Professor, where he continues to advance his research in seismic safety and building performance evaluation. His international academic experience has enhanced his research vision and contributed to significant developments in the field.

Research Interests

Dr. Xiang’s research focuses on aseismic building structures, particularly in response analysis, performance-based design, and structural resilience. He is dedicated to improving seismic safety through innovative design methods that enhance building performance and earthquake resistance. His studies integrate computational simulations, experimental validation, and engineering applications to develop more efficient and robust structural solutions. His research contributes to mitigating earthquake damage and enhancing the durability of buildings in seismic-prone regions. Through interdisciplinary approaches, he aims to bridge the gap between theoretical models and practical construction techniques, ensuring safer and more sustainable urban infrastructures.

Research Skills

Dr. Xiang possesses advanced research skills in structural engineering and seismic analysis. He is proficient in numerical modeling, experimental testing, and performance evaluation of earthquake-resistant buildings. His expertise includes finite element analysis (FEA), structural dynamics, and resilience assessment techniques. He is skilled in using engineering software for structural simulation and seismic analysis, contributing to the development of innovative design strategies. His ability to secure research funding and lead collaborative projects highlights his strong project management and leadership skills. Additionally, his experience in academic publishing and editorial work further strengthens his research capabilities.

Awards and Honors

Dr. Xiang has received multiple prestigious awards recognizing his contributions to structural engineering research. He was awarded the First Prize in Science and Technology by the China Steel Construction Society in 2024, demonstrating his impact in the field. He also received the Special Prize for Science and Technology from the same organization in 2022. Additionally, he was honored with the Second Prize for Research from the Shanghai J.Z. Huang Education Development Foundation in 2023. These accolades reflect his significant contributions to earthquake-resistant building design and structural performance evaluation, establishing him as a leading researcher in his domain.

Conclusion

Dr. Yang Xiang is a distinguished researcher in structural and earthquake engineering, with a strong academic background, international research experience, and significant contributions to seismic safety. His work in performance evaluation and resilience improvement has earned him prestigious awards, major research funding, and recognition from leading academic institutions. With expertise in numerical modeling, experimental testing, and advanced engineering analysis, he continues to push the boundaries of earthquake-resistant design. His editorial roles, research leadership, and commitment to enhancing structural safety position him as a highly qualified candidate for the Best Researcher Award.

Publications Top Notes

  1. Title: Amplitude-dependent modal viscous damping for distributed stick–slip systems

    • Authors: C. He, Chong; F. Sun, Feifei; G. Li, Guoqiang; Y. Xiang, Yang
    • Year: 2024

  2. Title: Quantification of floor seismic response: Formulated PFA for non-classically damped structure and empirical PFV for elasto-plastic structure

    • Authors: S. Guo, Shili; Y. Xiang, Yang; L. Dai, Liusi; G. Li, Guoqiang
    • Year: 2024

  3. Title: Strain amplitude-dependent hardening property of Q235 steel for metallic dampers

    • Authors: Y. Zhong, Yunlong; G. Li, Guoqiang; Y. Xiang, Yang
    • Year: 2024
    • Citations: 2

  4. Title: Multi-objective seismic optimization and evaluation of core-damper-frame tall buildings considering SSI effect

    • Authors: M. Wang, Meng; Y. Xiang, Yang; F. Sun, Feifei; G. Li, Guoqiang
    • Year: 2024
    • Citations: 3

  5. Title: Seismic performance assessment of GFRP-steel double-skin confined rubber concrete composite columns

    • Authors: J. Yan, Jianhuang; J. Wu, Junchao; Y. Xiang, Yang; X. Han, Xue; H. Li, Haifeng
    • Year: 2024
    • Citations: 4