Francois Galgani | Chemical Pollution | Best Paper Award

Dr. Francois Galgani | Chemical Pollution | Best Paper Award

Senior scientist, IFREMER, France

Dr. François Galgani is a renowned French oceanographer and senior scientist at IFREMER, with a distinguished career dedicated to marine pollution, particularly marine litter. Based in Bonifacio, France, he chairs the non-profit Echos D’Oceans and plays pivotal roles in international advisory groups like GESAMP and IOC. His expertise spans oceanology, ecotoxicology, and environmental policy. Dr. Galgani served as chair and co-chair of major international and EU groups, contributing significantly to marine litter strategies across the Mediterranean, EU, and global initiatives. He has authored 200+ peer-reviewed articles and serves as Editor-in-Chief of Marine Pollution Bulletin. A passionate advocate for sustainable oceans, he is involved in the UN Decade for Ocean Science and supports global environmental frameworks. His work bridges science and policy, influencing directives like the EU MSFD and frameworks like SDG 14.1.1 🌍🔬📘.

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Education 

🎓 Dr. François Galgani’s academic foundation combines rigorous scientific training and strategic management. He earned a Ph.D. in Oceanology in 1983 from Aix-Marseille II (MIO), followed by a Master’s in Oceanography in 1981. In 1987, he gained a certificate in financial management from the prestigious ESCP Business School, Paris, equipping him with administrative acumen. That same year, he also achieved a research management habilitation from Aix-Marseille II. Broadening his expertise in biological sciences, he completed a degree in Molecular Biology from the University of Nantes in 1991. This rich multidisciplinary background—spanning ocean sciences, molecular biology, and management—enabled Dr. Galgani to lead complex scientific projects and international environmental initiatives effectively. His strong educational base continues to underpin his research in marine pollution and policy advising on ocean sustainability. 🌊🔬📚

Experience 

🧪 Dr. François Galgani’s career spans over four decades of impactful scientific research, leadership, and global environmental governance. Since 2022, he has served as a senior scientist at IFREMER. From 2008 to 2022, he was the head of IFREMER Corsica, directing labs and regional projects. Previously, he held project manager roles in IFREMER Sete and Toulon. Earlier in his career, he led the ecotoxicology lab in Nantes and served as a program manager. His international experience includes a postdoctoral fellowship at Tokyo University of Fisheries and a visiting scientist position at Stanford University in 1993. Dr. Galgani has also worked in IFREMER Tahiti and has led major EU, Mediterranean, and UN projects. Beyond research, he contributes policy insights to global marine litter reduction and monitoring strategies. His career reflects a strong fusion of field expertise, laboratory leadership, and international collaboration. 🌍🔎🧫

Research Focus 

🔬 Dr. François Galgani’s research focuses on marine pollution, especially the sources, distribution, impacts, and mitigation of marine litter. His work spans ecotoxicology, oceanography, molecular biology, modeling, and environmental management. As a leading figure in marine litter science, he contributed to developing and implementing international monitoring systems under EU directives (e.g., MSFD Descriptor 10) and UN regional action plans. He supports policies on global, regional, and national levels for marine environmental protection, offering expertise to organizations like UNEP, GESAMP, and the European Commission. He has a keen interest in developing harmonized monitoring protocols, data management strategies, and risk assessment models. Dr. Galgani also advises scientific institutions and governments worldwide, including those in Saudi Arabia, Tunisia, French Polynesia, and Australia. His research not only addresses marine debris but also informs long-term sustainability goals and conservation policies. 🌐♻️🧪

Publication Top Note

EMODnet Visualization products for beach litter data
National Institute of Oceanography and Applied Geophysics, 2025 | Report
DOI: 10.13120/14cc-r118
Contributors: François Gaudin, Maria Eugenia Molina Jack, Matteo Vinci, Alexia Cociancich, Alessandra GIORGETTI, Morgan Le Moigne, Erwann Quimbert, Alexander Barth, Neil Holdsworth, François Galgani et al.

EMODnet Visualization products for seafloor litter data
National Institute of Oceanography and Applied Geophysics, 2025 | Report
DOI: 10.13120/c622d045-94ed-4b6a-9c78-404e86b8b9a3.v1
Contributors: François Gaudin, Gwenaël Caer, Maria Eugenia Molina Jack, Matteo Vinci, Alexia Cociancich, Alessandra GIORGETTI, Morgan Le Moigne, Erwann Quimbert, Alexander Barth, Neil Holdsworth et al.

Plastic and oceans
2025 | Book chapter
DOI: 10.1016/B978-0-443-15779-0.00004-3
Contributors: François Galgani, Maes Thomas, Li Daoji

Working Group on Marine Litter (WGML; outputs from 2024 meeting)
ICES Scientific Reports/Rapports scientifiques du CIEM, 2025 | Journal article
DOI: 10.17895/ices.pub.28685027

Marine litter in the deepest site of the Mediterranean Sea
Marine Pollution Bulletin, April 2025 | Journal article
DOI: 10.1016/j.marpolbul.2025.117610
Contributors: Hanke Georg, Canals Miquel, Vescovo Victor, MacDonald Tim, Martini Eirini, Ruiz-Orejón Luis F., François Galgani, Palma Marco, Papatheodorou George, Ioakeimidis Christos et al.

Mission Tara Microplastics: a holistic set of protocols and data resources for the field investigation of plastic pollution along the land-sea continuum in Europe
Environmental Science and Pollution Research, April 2025 | Journal article
DOI: 10.1007/s11356-023-26883-9
Contributors: Ghiglione Jean-François, Barbe Valérie, Bruzaud Stéphane, Burgaud Gaëtan, Cachot Jerome, Eyheraguibel Boris, Lartaud Franck, Ludwig Wolfgang, Meistertzheim Anne-Leila, Paul PONT Ika et al.

Déchets flottants. Région marine Méditerranée
Ifremer, 2024 | Book
DOI: 10.13155/98198
Contributors: Olivia Gerigny, Elise Georges, Mélanie Brun, Maxime Olsommer, Sophie Beauvais, François Galgani

Conclusion

François Galgani stands as a pioneering force in marine environmental science, with a distinguished career spanning over four decades. As a senior scientist at IFREMER and Chair of Echos D’Océans, his global contributions have significantly advanced our understanding of marine litter, ocean pollution, and environmental monitoring. His leadership in international expert groups, EU missions, and UN initiatives reflects a profound commitment to sustainable ocean management. With over 200 peer-reviewed publications and key editorial roles in top journals, Galgani’s influence bridges science and policy. His work continues to inspire collaborative action for cleaner, healthier oceans worldwide. 🌍🌊📘

Mohamed Saber | Hydropower | Best Researcher Award

Mr. Mohamed Saber | Hydropower | Best Researcher Award

Lecturer Assisstant, Zagazig University, Egypt

Mohammed Saber Abdel-Moaty, born on January 22, 1996, is a dedicated Egyptian civil engineer and academic, currently serving as a Lecturer Assistant in the Department of Water and Water Structures Engineering at Zagazig University, Egypt. He also works as a Civil Hydraulic Engineer at the university’s Irrigation and Hydraulics Lab. A specialist in hydraulic structures, CFD simulation, and sustainable energy solutions, Mohammed earned his B.Sc. in Civil Engineering with honors in 2019 and is pursuing an M.Sc. focused on energy harvesting via water wheels. His technical expertise spans structural design software, fluid dynamics, and experimental hydraulics. Beyond academia, he contributes to real-world applications through freelancing roles in structural and CFD engineering and as a co-founder of CIVIC, a general contracting firm. His scholarly contributions include a 2024 publication in Renewable Energy on waterwheel-based pico hydropower systems, underscoring his commitment to sustainable infrastructure and applied water engineering.

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Education 

Mohammed Saber Abdel-Moaty has pursued his academic journey in civil and hydraulic engineering at Zagazig University, Egypt. He obtained his Bachelor of Science in Civil Engineering in 2019 with an Excellent with Honor grade, achieving an outstanding GPA of 88.65%. Currently, he is advancing his postgraduate education with a Master of Science (M.Sc.) in Water and Water Structures Engineering, expected to complete in 2025. His M.Sc. thesis focuses on the “Investigation of Energy Harvesting by Water Wheels at Low-head Heading up Structures”, reflecting his growing interest in renewable energy integration into hydraulic systems. Mohammed’s educational training also includes a competitive 3-month internship at AECOM in Qatar, exposing him to multidisciplinary fields like utilities, structural works, and road engineering. This rich academic and field training foundation has shaped his deep technical knowledge and practical skills in fluid mechanics, open channel flow, and sustainable infrastructure development.

Professional Experience 

Since 2019, Mohammed Saber Abdel-Moaty has served as a Lecturer Assistant at Zagazig University, contributing to courses in water structures, hydraulics, and fluid mechanics. He also plays a pivotal role as a Civil Hydraulic Engineer in the Irrigation and Hydraulics Lab, conducting experimental and computational research on open-channel flows and hydraulic structures. Mohammed’s freelance experience includes working as a Structural Design Engineer and CFD Engineer, where he executed simulations using ANSYS Fluent and performed structural modeling with tools like SAP2000 and ETABS. Between 2020 and 2021, he offered structural design services for residential and commercial buildings. Since 2022, he has also taken on the role of General Contracting Engineer, overseeing on-site construction and quality assurance. In addition, he co-founded CIVIC, a construction company focusing on design-build projects. His diverse roles highlight his capacity to bridge academia, research, and real-world engineering.

Research Focus 

Mohammed Saber Abdel-Moaty’s research focuses on hydraulic structures, sustainable energy systems, and computational fluid dynamics (CFD). His current M.Sc. research explores the energy harvesting potential of water wheels in low-head sluice gate systems, contributing to the field of pico hydropower generation—a green energy alternative for rural or irrigation-based settings. His experimental and numerical work within the Irrigation and Hydraulics Lab at Zagazig University involves open-channel flow modeling, optimizing hydraulic efficiency, and developing cost-effective renewable energy mechanisms. Mohammed’s expertise extends to CFD simulations using ANSYS Fluent and FLOW-3D, where he analyzes fluid behavior, velocity profiles, and energy dissipation in engineered systems. He integrates practical and theoretical insights, supported by 3D modeling through SOLIDWORKS and AutoCAD 3D, to simulate complex geometries. His interdisciplinary approach bridges environmental engineering, civil design, and energy sustainability, aiming to provide innovative and scalable solutions to modern water resource challenges.

Publication Top Notes

📘 Publication Title:
“Techno-economic assessment of the Dethridge waterwheel under sluice gates in a novel design for pico hydropower generation”

📚 Authors:
Mohamed Saber, Gamal Abdelall, Riham Ezzeldin, Ahmed Farouk AbdelGawad, Reda Raga

📅 Year: 2024
📰 Journal: Renewable Energy, Volume 234
🔗 DOI: 10.1016/j.renene.2024.121206
📑 ISSN: 0960-1481

📄 Summary:
This paper presents an innovative integration of the Dethridge waterwheel beneath sluice gates for pico hydropower generation in irrigation systems. The research offers a techno-economic analysis, comparing energy outputs and cost-effectiveness under varying hydraulic conditions. Through experimental setups and CFD modeling, the study assesses wheel performance, fluid dynamics, and structural considerations. Results indicate that the novel configuration is both economically viable and environmentally sustainable, especially in low-head irrigation scenarios. The findings contribute to small-scale renewable energy solutions in developing regions and enhance the practical use of traditional waterwheels in modern engineering.

Conclusion

Mohammed Saber Abdel-Moaty is an emerging civil and hydraulic engineer with a strong academic foundation, hands-on industry experience, and a growing research portfolio. With a focus on sustainable hydropower technologies and water structures, his work bridges theoretical knowledge and real-world application. His multidisciplinary expertise spans structural design, CFD simulation, and renewable energy solutions, reflected in his recent publication in Renewable Energy. As a Lecturer Assistant at Zagazig University and Co-founder of CIVIC Construction, he demonstrates leadership, innovation, and a commitment to engineering excellence. His contributions are poised to make a significant impact in the fields of hydraulic engineering and sustainable infrastructure.

Vivek Vohra | Human-Computer Interaction | Best Researcher Award

Mr. Vivek Vohra | Human-Computer Interaction | Best Researcher Award

Research Scholar, Indian Institute of Management, Ranchi, India.

Vivek Vohra is a Ph.D. candidate in Management at the Indian Institute of Management (IIM), Ranchi, specializing in Organizational Behavior and Human Resource Management. His research primarily focuses on socio-economic class disparities, career sustainability, and gender, with a particular emphasis on career decisions and mobility constraints for low-income mothers in familialized societies. Vivek has been recognized for his contributions to research on flexible work models, digital nomadism, and the socio-economic challenges faced by professionals from diverse backgrounds. Alongside his academic pursuits, Vivek has experience working as an Assistant Professor at Indore Management Institute and as an Assistant Manager at Bandhan Bank. He has presented his research at prestigious conferences and published in leading journals. With a passion for addressing socio-economic inequality through academic work, Vivek is a promising young scholar in the field of Human Resource Management.

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Education 

Vivek Vohra completed his Ph.D. in Management with a focus on Organizational Behavior and Human Resource Management at the Indian Institute of Management (IIM), Ranchi, in 2025. His doctoral thesis, titled “Career Decisions and Mobility Constraints for Low-Income Mothers: A Multi-Contextual Exploration in Familialized Societies,” is under review, with an internal defense expected in August 2025. Prior to his Ph.D., Vivek earned an MBA in Organizational Behavior and Human Resource Management from Devi Ahilya Vishwa Vidyalaya, Indore, in 2020. He completed his undergraduate studies in B.Sc. with a focus on Statistics and Computer Science from Vikram University, Ujjain, in 2018. His academic journey reflects a strong foundation in both theoretical knowledge and practical applications, particularly in the areas of human behavior and organizational dynamics, with a particular focus on career sustainability and socio-economic inequality.

Experience 

Vivek Vohra has a diverse professional background, having worked in both academia and industry. From December 2021 to May 2022, he served as an Assistant Professor at Indore Management Institute, where he taught subjects related to Human Resource Management, including HR Analytics, Industrial Relations, and Strategic HRM. In addition to his academic experience, Vivek worked as an Assistant Manager at Bandhan Bank between October 2020 and November 2021. During his time at the bank, he developed key skills in financial management, customer relations, and strategic HR planning. His academic and industry experiences have provided him with a balanced perspective on the practical and theoretical aspects of human resource management. Vivek’s combined background in teaching, research, and industry positions him well to contribute to both academic literature and organizational practices in the field of HRM.

Awards and Honors 

Vivek Vohra has received notable recognition for his academic achievements. In 2022, he was awarded the prestigious Junior Research Fellowship (JRF) by the University Grant Commission, a testament to his outstanding research potential and commitment to academic excellence.

Research 

Vivek Vohra’s research focuses on understanding the persistent socio-economic class-based gaps in career attainment and mobility, with a particular emphasis on the challenges faced by low-income mothers in familialized societies. His work aims to uncover how professionals from diverse socio-economic backgrounds navigate their careers, exploring the implications for inequality and human resource management. Vivek’s research integrates flexible work models and cultural theories to offer novel insights into career sustainability, gender issues, and organizational behavior. His work explores how firms can manage human resources from diverse backgrounds and how individuals, particularly women, can overcome mobility constraints. Vivek is also interested in the broader impact of socio-economic inequalities on career decisions, work-life balance, and employee well-being. His research agenda is forward-looking, aiming to contribute to both academic theory and practical solutions to improve diversity, equity, and inclusion in the workplace.

Publication Top Notes

  1. Vohra, V., Singh, S., & Dutta, T. (2024). Embracing Flexibility Post-COVID-19: A Systematic Review of Flexible Working Arrangements Using the SCM-TBFO Framework.
    Global Journal of Flexible Systems Management, 25(1), 1–26. (ABDC A; SJR Q1)
    Summary: This paper provides a systematic review of flexible working arrangements post-COVID-19, exploring how flexible work models have been implemented across industries and their impact on organizational performance and employee well-being. Using the SCM-TBFO framework, the authors analyze the challenges and benefits of flexible work models and propose strategies for organizations to embrace flexibility in a post-pandemic world. The findings suggest that while flexibility is a powerful tool for attracting talent, it also presents challenges related to employee engagement and performance metrics.

  2. Vohra, V., Banishetty, S., Dutta, T., & Joshi, A. (2025). Work, Wander, and Repeat: Modeling the Enablers of the Digital Nomadic Lifestyle.
    Journal of Global Mobility, 13(1). (ABDC B)
    Summary: This paper examines the factors that enable and sustain the digital nomadic lifestyle, a growing trend where professionals work remotely while traveling. The authors model the key enablers of this lifestyle, including technology, work flexibility, and personal motivations. The study highlights the challenges and opportunities that digital nomads face in terms of career progression, work-life balance, and cultural adaptation. The findings provide valuable insights for organizations seeking to attract and retain remote workers, particularly in the context of the evolving digital economy.

Conclusion:

Vivek Vohra has demonstrated exceptional promise in his academic journey, showcasing significant contributions to the fields of Organizational Behavior and Human Resource Management. His research on socio-economic inequality, career mobility, and the evolving nature of work positions him as a forward-thinking scholar. With multiple publications in high-ranking journals, participation in renowned conferences, and a strong research trajectory, Vivek is certainly a strong candidate for the Research for Best Researcher Award.

Mostafa Khoshsefat | Polymerization catalysts | Best Researcher Award

Dr. Mostafa Khoshsefat | Polymerization catalysts | Best Researcher Award

PD researcher, Japan Advanced Institute of Science and Technology, Japan.

Dr. Mostafa Khoshsefat is an accomplished research scientist specializing in polymerization catalysis and materials science. Born in 1991, he currently serves as a postdoctoral researcher at the Japan Advanced Institute of Science and Technology (JAIST), contributing to advanced catalyst development for olefin polymerization. With a strong foundation in polymer engineering and chemistry, Dr. Khoshsefat has cultivated over a decade of research experience spanning academic and industrial settings across Iran, China, Canada, and Japan. His work focuses on Ziegler-Natta and late-transition metal catalysts, polyolefins, and high-throughput experimentation combined with machine learning. He is widely published, with over 20 peer-reviewed journal articles and a significant citation record. Driven by a passion for innovation, he has collaborated with top-tier international researchers and received multiple fellowships and awards for academic excellence. Fluent in English and Persian, Dr. Khoshsefat represents a new generation of cross-disciplinary scientists shaping the future of polymer science.

Profile

Education

Dr. Khoshsefat holds a Ph.D. in Polymer Engineering from Iran Polymer and Petrochemical Institute (IPPI), in collaboration with the University of Alberta, Canada, graduating with honors and a GPA of 3.88/4.00. His doctoral thesis focused on the polymerization of ethylene and 1-hexene using a series of mono- and dinuclear Ni- and Fe-based catalysts. Prior to that, he earned an M.Sc. in Polymer Chemistry from Ferdowsi University of Mashhad with a GPA of 3.70/4.00, where he conducted research on late transition metal catalysts for ethylene polymerization. He completed his B.Sc. in Pure Chemistry at the University of Tehran and Ferdowsi University of Mashhad, graduating with a GPA of 3.13/4.00. His educational path reflects a consistent commitment to excellence and a strong grounding in both theoretical and experimental aspects of polymer chemistry and materials science.

Experience

Dr. Khoshsefat’s professional experience spans academia, industry, and international research institutions. Since 2021, he has worked as a full-time postdoctoral researcher at JAIST/DPI, Japan, focusing on Ziegler-Natta catalysts for polypropylene production. From 2019 to 2021, he held another postdoctoral position at the Institute of Chemistry, Chinese Academy of Sciences (ICCAS), studying multinuclear late transition metal (LTM) catalysts. He also contributed to the University of Alberta’s catalyst design team during his Ph.D. program. Between 2015 and 2019, he supervised research at Rayan Polymer Industry in Tehran and held multiple part-time research roles at institutions such as Amirkabir University, Hayan Co., and JPC. His roles have involved catalyst synthesis, polymer characterization, and advanced data-driven experimentation. This diverse and hands-on experience has provided him with both theoretical and applied expertise in polymerization chemistry, making him a valuable contributor to both academic and industrial projects.

Awards and Honors

Dr. Khoshsefat has received numerous prestigious honors throughout his academic and research career. He was awarded the NEO Postdoctoral Fellowship in 2020 and the BMS Junior Fellowship at ICCAS in 2019. He earned the title of National Elite Award Recipient in Iran for three consecutive years (2016–2018) in recognition of his scientific excellence. In 2017, he received a Research Award from the University of Alberta for outstanding academic performance. Both his M.Sc. and Ph.D. degrees were completed with top honors—he graduated first in his M.Sc. class in Polymer Chemistry in 2016. He was awarded full academic scholarships for both his Master’s (FUM, 2013) and Ph.D. (IPPI, 2015) programs. These accolades reflect his dedication, innovation, and sustained contribution to polymer science, particularly in the design and application of advanced polymerization catalysts. His achievements mark him as one of the emerging leaders in his field.

Research Focus 

Dr. Mostafa Khoshsefat’s research centers on the design and development of catalysts for olefin polymerization, particularly Ziegler-Natta and late transition metal (Ni, Fe, Co)-based systems. His work explores the mechanisms behind mono- and dinuclear catalyst systems and their ability to control polymer microstructure, branching, crystallinity, and molecular weight distribution. He integrates experimental synthesis with computational modeling and high-throughput techniques, enhancing catalyst screening and development. More recently, his research has involved applying machine learning for catalyst optimization. His polymer targets include polyethylene, polypropylene, and copolymers with tailored mechanical, thermal, and morphological properties. He also investigates nanocomposites and polymer functionalization strategies for advanced material applications. His interdisciplinary approach bridges organometallic chemistry, data science, and polymer engineering. Through his international collaborations and innovative techniques, Dr. Khoshsefat is contributing to the next generation of sustainable and high-performance polymeric materials.

Publication Top Notes

  1. “Data Driven Modeling of Ziegler–Natta Polypropylene Catalysts: Revisiting the Role of the Internal Donor” (2025)

    1. This study focuses on improving Ziegler–Natta catalysts used for polypropylene polymerization by employing a data-driven approach. The paper revisits the role of internal donors, which are critical in controlling the polymerization process and the structure of polypropylene. It provides new insights into how the design of internal donors can impact catalyst activity and polymer properties.

  2. “End-to-end high-throughput approach for data-driven internal donor development in heterogeneous Ziegler–Natta propylene polymerization” (2024)

    1. The authors introduce a high-throughput, end-to-end methodology for developing internal donors in Ziegler–Natta catalysts used in propylene polymerization. This approach accelerates the discovery of more efficient and effective catalysts by automating the screening and optimization process, thus improving polymerization outcomes.

  3. “Ethylene/α-olefin homo-and copolymerization using a dinuclear catalyst of nickel” (2024)

    1. This paper explores the use of dinuclear nickel catalysts in the homo- and copolymerization of ethylene with α-olefins. The research highlights the versatility of dinuclear nickel catalysts, showing how they can be fine-tuned to produce various polymer structures with different molecular weights and properties, making them promising for advanced polymer production.

  4. “Parallel Catalyst Synthesis Protocol for Accelerating Heterogeneous Olefin Polymerization Research” (2023)

    1. This publication presents a protocol for parallel synthesis of catalysts, which is designed to accelerate the research and development of catalysts for heterogeneous olefin polymerization. By enabling the simultaneous synthesis and testing of multiple catalysts, this protocol helps researchers explore a wide range of catalytic systems and optimize them more efficiently.

  5. “From tetramerization to oligomerization/polymerization of ethylene by dinuclear pyridyl‐imine Co‐and Ni‐based catalysts” (2023)

    1. The study investigates the performance of dinuclear Co- and Ni-based catalysts in ethylene tetramerization, oligomerization, and polymerization. These catalysts are shown to exhibit versatile activity across these processes, producing a range of polymer and oligomer products with different chain lengths and architectures, which could be valuable for specialized applications.

  6. “Functionalization of Poly (1‐hexene) with Maleic Anhydride: The Effect of Reaction Parameters” (2023)

    1. This paper explores how reaction parameters, such as temperature and time, affect the functionalization of poly(1-hexene) with maleic anhydride. The authors demonstrate that these parameters play a significant role in controlling the degree of functionalization and the thermal, mechanical, and chemical properties of the modified polymer, which is crucial for applications like grafting and crosslinking.

  7. “Multinuclear late transition metal catalysts for olefin polymerization” (2021)

    1. This review discusses the development of multinuclear late transition metal catalysts, particularly for olefin polymerization. The authors focus on the advantages of using multinuclear systems, such as enhanced catalyst activity, selectivity, and stability, and their ability to produce polymers with tailored properties, making them an important class of catalysts for the industrial polymerization of olefins.

  8. “Microstructural study on MMA/1‐hexene copolymers made by mononuclear and dinuclear α‐diimine nickel (II) catalysts” (2021)

    1. The paper examines the microstructure of MMA/1-hexene copolymers synthesized using mononuclear and dinuclear α-diimine nickel(II) catalysts. By comparing the two types of catalysts, the study provides insights into how catalyst architecture affects the polymer’s molecular weight distribution, branching, and crystallinity, which are key factors in determining the polymer’s physical properties.

  9. “Zn‐assisted cooperative effect for copolymers made by heterodinuclear Fe− Ni catalyst” (2020)

    1. This paper discusses the cooperative effect between zinc and heterodinuclear Fe-Ni catalysts in the copolymerization of olefins. The authors demonstrate that the addition of zinc enhances catalyst performance, resulting in copolymers with unique properties, such as improved chain length control and better mechanical performance, providing a new direction for designing advanced catalysts.

  10. “Topological and Electronic Properties of Chlorine-Substituents on the α-Diimine Ni-based Catalysts” (2020)

    1. The study investigates the impact of chlorine substituents on the α-diimine nickel catalysts, focusing on how these substituents influence the electronic and topological properties of the catalysts. The results suggest that chlorine substitution can fine-tune catalyst reactivity and selectivity, enabling better control over polymerization processes.

Conclusion

Dr. Mostafa Khoshsefat is a highly accomplished and internationally active polymer researcher with strong publication metrics, impactful contributions to catalyst and polyolefin research, and a solid academic foundation. While there is room for further leadership and outreach development, his research productivity, originality, and interdisciplinary expertise make him a compelling and deserving candidate for a Best Researcher Award.

Iqtidar Ahmad | photocatalytic water splitting | Best Researcher Award

Dr. Iqtidar Ahmad | photocatalytic water splitting | Best Researcher Award

Postdoctoral fellow, Shenzhen University, China.

Dr. Iqtidar Ahmad is a Pakistani physicist specializing in material physics and chemistry, currently serving as a Postdoctoral Researcher at the College of Materials Science and Engineering, Shenzhen University, China. He completed his Ph.D. in 2022 at Kunming University of Science and Technology, China. Dr. Ahmad has held teaching positions in Pakistan, including at Government Degree College, Lohor, and Army Public School and College, Mansehra. His research focuses on low-dimensional materials, van der Waals heterostructures, and their applications in optoelectronics, spintronics, and photocatalysis. He has co-authored several publications in high-impact journals, contributing significantly to the field of material science.

Profile

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Education 

Dr. Ahmad’s academic journey began with a Diploma of Associate Engineering (D.A.E.) in Electronics from Gandahara College of Technology, Chakdara, Pakistan, in 2009. He then pursued a Bachelor of Science (Hons) in Physics at Hazara University Mansehra, Pakistan, graduating in 2013 with a CGPA of 3.42/4. Continuing his studies, he completed a Master of Philosophy (M.Phil.) in Physics at the same institution in 2016, achieving a CGPA of 3.92/4. Dr. Ahmad further advanced his expertise by earning a Ph.D. in Material Physics and Chemistry from Kunming University of Science and Technology, China, in December 2022. His educational background laid a strong foundation for his research in material science and physics.

Experience 

Dr. Ahmad has a diverse professional background combining academia and research. He currently serves as a Postdoctoral Researcher at the College of Materials Science and Engineering, Shenzhen University, China, since 2023. Prior to this, he held teaching positions in Pakistan, including Lecturer roles at Government Degree College, Lohor (2016–2017), Army Public School and College, Mansehra (2015–2016), and Suffa Model School (2013–2014). His research experience encompasses computational studies on two-dimensional materials and their applications in energy-related fields. Dr. Ahmad’s work has led to several publications in peer-reviewed journals, reflecting his commitment to advancing knowledge in material science.

Research Focus 

Dr. Ahmad’s research primarily focuses on the theoretical investigation of low-dimensional materials and their heterostructures, utilizing first-principles calculations to explore their electronic, optical, and thermoelectric properties. His work aims to design materials with enhanced performance for applications in optoelectronics, spintronics, and photocatalysis. He employs advanced computational techniques, including density functional theory (DFT), to study phase transitions, strain engineering, and the effects of doping and adsorption on material properties. Dr. Ahmad’s research contributes to the development of materials with tailored properties for energy-related applications, such as water splitting and energy storage. His expertise in computational material science positions him at the forefront of research in this domain.

Publication Top Notes

  1. Title: Two-dimensional SiH/In₂XY (X, Y = S, Se) van der Waals heterostructures for efficient water splitting photocatalysis: A DFT approach

    • Journal: International Journal of Hydrogen Energy

    • Date: April 18, 2025

    • DOI: 10.1016/j.ijhydene.2025.04.289

    • Summary: This study investigates the photocatalytic properties of SiH/In₂XY heterostructures for water splitting applications, utilizing density functional theory to analyze their efficiency.

  2. Title: Theoretical insights into Sb₂Te₃/Te van der Waals heterostructures for achieving very high figure of merit and conversion efficiency

    • Journal: International Journal of Heat and Mass Transfer

    • Date: March 1, 2025

    • DOI: 10.1016/j.ijheatmasstransfer.2024.126479

    • Summary: This paper explores the thermoelectric properties of Sb₂Te₃/Te heterostructures, aiming to enhance their efficiency for energy conversion applications.

  3. Title: The van der Waals heterostructures of blue phosphorene with GaN/GeC for high-performance thermoelectric applications

    • Journal: APL Materials

    • Date: January 1, 2025

    • DOI: 10.1063/5.0243511

    • Summary: This research examines the potential of blue phosphorene/GaN/GeC heterostructures for thermoelectric applications, focusing on their performance and efficiency.

  4. Title: Enhanced spintronic and electronic properties in MTe₂-GdCl₂ (M=Mo, W) heterojunctions

    • Journal: Surfaces and Interfaces

    • Date: December 2024

    • DOI: 10.1016/j.surfin.2024.105364

    • Summary: This paper investigates the spintronic and electronic

  5. Title: Enhanced visible-light-driven photocatalytic activity in SiPGaS/arsenene-based van der Waals heterostructures

    • Journal: iScience

    • Date: 2023

    • DOI: 10.1016/j.isci.2023.108025

    • Summary: Demonstrates enhanced visible-light absorption and charge separation efficiency in SiPGaS/arsenene heterostructures, making them promising candidates for photocatalytic water splitting.

  6. Title: High thermoelectric performance of two-dimensional SiPGaS/As heterostructures

    • Journal: Nanoscale

    • Date: 2023

    • DOI: 10.1039/d3nr00316g

    • Summary: Investigates thermoelectric efficiency improvements through phonon suppression and high Seebeck coefficients in SiPGaS/As heterostructures.

  7. Title: Nickel selenide nano-cubes anchored on cadmium selenide nanoparticles for hybrid energy storage

    • Journal: Journal of Energy Storage

    • Date: 2023

    • DOI: 10.1016/j.est.2023.107065

    • Summary: First-ever design of NiSe nanocubes on CdSe for hybrid supercapacitor applications showing high capacitance and stability.

  8. Title: Versatile characteristics of Ars/SGaInS van der Waals heterostructures

    • Journal: Physical Chemistry Chemical Physics

    • Date: 2023

    • DOI: 10.1039/d2cp04832a

    • Summary: Analyzes multifunctional characteristics for applications in optoelectronics and photovoltaics.

  9. Title: Two-dimensional Janus SGaInSe/PtSe₂ heterostructures for water splitting

    • Journal: International Journal of Hydrogen Energy

    • Date: 2022

    • DOI: 10.1016/j.ijhydene.2022.06.188

    • Summary: Examines potential for solar-driven water splitting, emphasizing electron-hole separation efficiency.

  10. Title: Electronic, mechanical, and photocatalytic properties of Janus XGaInY monolayers

    • Journal: RSC Advances

    • Date: 2021

    • DOI: 10.1039/d1ra02324a

    • Summary: Explores tunable bandgaps and mechanical stability of Janus monolayers for photocatalysis.

Conclusion

Dr. Iqtidar Ahmad is a highly qualified, technically capable, and productive researcher in the field of computational materials science. His work demonstrates depth, novelty, and interdisciplinary relevance, making him a strong candidate for a Best Researcher Award, especially at the early to mid-career level.

Prof. Lenka Přibylová | Applied Mathematics | Best Researcher Award

Prof. Lenka Přibylová | Applied Mathematics | Best Researcher Award

Associate Professor, Masaryk University, Czech Republic

Lenka Přibylová is an Associate Professor in the Department of Mathematics and Statistics at Masaryk University, specializing in applied mathematics, nonlinear dynamics, and mathematical modeling. Her interdisciplinary research spans epidemics, ecology, neuroscience, and physics, aiming to bridge theoretical mathematics with real-world applications.

Profile

Education 

Lenka Přibylová completed her Master of Science in Mathematics at Masaryk University in 1999, graduating with honors. She earned her Doctoral degree in Mathematical Analysis in 2004, under the supervision of Doc. Josef Kalas, CSc. In 2023, she achieved habilitation in Applied Mathematics at Masaryk University, attaining the title of Associate Professor. Additionally, she completed rigorous proceedings in Mathematics at Masaryk University in 2000. Her academic journey reflects a strong foundation in mathematical analysis and a commitment to advancing the field of applied mathematics.

Experience

Lenka Přibylová has held significant academic positions, contributing to both teaching and research. Since 2023, she has been serving as an Associate Professor in the Department of Mathematics and Statistics at Masaryk University. Prior to this, she was an Assistant Professor in the same department from 2006 to 2023. From 2002 to 2006, she was an Assistant Professor in the Department of Mathematics at Mendel University of Agriculture and Forestry in Brno. Her teaching portfolio includes courses on bifurcations, chaos, fractals, nonlinear dynamics, deterministic models, and mathematics for cartography. She has also supervised numerous doctoral, master’s, and bachelor’s theses, fostering the development of future mathematicians. Her research endeavors have led to collaborations with international institutions, enhancing the global impact of her work.

Awards and Honors

Lenka Přibylová’s contributions to mathematics have been recognized through various awards. In 2022, she received the MUNI Scientist Award, highlighting her exceptional research achievements. Earlier, in 1998, she was honored with the Award of the Head of the Department of Mathematics and Statistics for her outstanding work. These accolades underscore her dedication to advancing mathematical sciences and her commitment to excellence in research and education.

Research Focus

Lenka Přibylová’s research focuses on nonlinear dynamics and its applications across various disciplines. She leads the Analytical Group of the National Institute for Pandemic Control under the Czech Ministry of Health, where her team has modeled COVID-19 outbreaks and studied vaccine efficacy. Her ecological research examines the effects of climate change on seasonally driven population dynamics in ecosystems. In collaboration with international partners, she explores the dynamics of AC-driven Josephson junctions in physics. Her neuroscience research investigates the use of dynamical modeling in applied neuroscience and epileptology. Through these interdisciplinary projects, she applies mathematical principles to solve complex real-world problems, demonstrating the versatility and impact of applied mathematics.

Publication Top Notes

  1. “Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations”
    Journal: eLife, 2023
    Summary: This study evaluates the effectiveness of multi-model ensemble forecasts in predicting COVID-19 trends across Europe, providing insights into the reliability of different forecasting methods.

  2. “Protection by vaccines and previous infection against the Omicron variant of SARS-CoV-2”
    Journal: The Journal of Infectious Diseases, 2022
    Summary: The research assesses the protective effects of vaccination and prior infection against the Omicron variant, contributing to understanding immunity dynamics.

  3. “Predator interference and stability of predator–prey dynamics”
    Journal: Journal of Mathematical Biology, 2015
    Summary: This paper explores how predator interference affects the stability of predator-prey interactions, offering mathematical insights into ecological balance.

  4. “Bifurcation routes to chaos in an extended Van der Pol’s equation applied to economic models”
    Journal: Electronic Journal of Differential Equations, 2009
    Summary: The study investigates the transition to chaos in economic models using an extended Van der Pol equation, highlighting the complexity of economic systems.

  5. “Foraging facilitation among predators and its impact on the stability of predator–prey dynamics”
    Journal: Ecological Complexity, 2017
    Summary: This research examines how foraging facilitation among predators influences the stability of predator-prey dynamics, providing ecological insights

Conclusion

Assoc. Prof. Lenka Přibylová is a well-rounded, impactful, and highly deserving candidate for a Best Researcher Award. Her interdisciplinary research contributions, especially in real-world applications such as epidemic modeling and neuroscience, alongside her dedication to teaching, mentorship, and science outreach, make her stand out as a nationally and increasingly internationally recognized researcher. With further international project leadership and more flagship publications, her profile would only strengthen in future candidacies.

Iyad Alomar | Aerospace Engineering | Aerospace Engineering Award

Prof. Iyad Alomar | Aerospace Engineering | Aerospace Engineering Award

Aviation Engineering Program director, Transport and Telecommunication Institute, Latvia.

Dr. Iyad Alomar is a Syrian-born aerospace engineer and academic based in Riga, Latvia. He holds a Ph.D. in Engineering Sciences from the Transport and Telecommunication Institute (TTI), Riga, and an MSc in Aircraft Technical Maintenance from Riga Aviation University. Dr. Alomar has contributed significantly to the field of aviation engineering through his extensive research and publications. He is a member of the editorial board for the journal Aviation and serves on the scientific committee for the 13th International Conference on Transportation Science and Technology (TRANSBALTICA 2022). His work focuses on optimizing aircraft maintenance processes, enhancing operational efficiency, and integrating digital technologies in aviation. Dr. Alomar is also an active member of the International Advisory Board for the ICAA’21 conference on aeronautics and astronautics.

Profiles

🎓 Education

Dr. Iyad Alomar’s academic journey is marked by a strong foundation in aerospace engineering. He completed his Master of Science in Aircraft Technical Maintenance at Riga Aviation University in 1996. Building upon this, he pursued advanced studies at the Transport and Telecommunication Institute in Riga, where he earned his Doctor of Science in Engineering (Dr.Sc.Eng) in 2019. His doctoral research focused on optimizing aircraft maintenance processes and integrating digital technologies to enhance operational efficiency in the aviation industry. Throughout his academic career, Dr. Alomar has been committed to advancing knowledge in aerospace engineering, contributing to various international conferences and journals. His educational background has equipped him with the expertise to address complex challenges in aviation maintenance and operations.

💼 Experience

Dr. Iyad Alomar has a distinguished career in aerospace engineering, combining academic research with practical applications in the aviation industry. He is currently a faculty member at the Transport and Telecommunication Institute in Riga, Latvia, where he teaches and conducts research in aviation engineering. In addition to his academic role, Dr. Alomar serves on the editorial board of the journal Aviation and is a member of the scientific committee for the 13th International Conference on Transportation Science and Technology (TRANSBALTICA 2022). He is also an active member of the International Advisory Board for the ICAA’21 conference on aeronautics and astronautics. Dr. Alomar’s professional activities reflect his dedication to advancing the field of aerospace engineering through collaboration, research, and education.

🔬 Research Focus

Dr. Iyad Alomar’s research focuses on optimizing aircraft maintenance processes, enhancing operational efficiency, and integrating digital technologies in aviation. His work aims to reduce aircraft downtime and improve the overall performance of airline operations. Notable publications include studies on the optimization of aircraft on-ground (AOG) processes and the integration of artificial intelligence in airline operation control centers. Dr. Alomar has also contributed to research on fatigue management methodologies for flight crews and the impact of unpredictable major events on the aviation industry. His interdisciplinary approach combines engineering principles with digital technologies to address complex challenges in the aviation sector. Through his research, Dr. Alomar seeks to contribute to the development of more efficient and resilient aviation systems.

📚Publication Top Notes

  1. “Improvement of Fatigue Management Methodology Related to Flight Crew”
    Published: September 20, 2024, in Aviation
    DOI: 10.3846/aviation.2024.22146
    Summary: This study explores methodologies to enhance fatigue management among flight crews, aiming to improve their well-being and overall aviation safety.

  2. “Investigation of Performance Improvement of Gas Turbine Engine by Optimized Design of Blade Turbine Cooling Channels”
    Published: 2024
    Summary: This doctoral research focuses on optimizing the design of cooling channels within turbine blades to improve the performance of gas turbine engines.

  3. “Modelling and Simulation of the Riga International Airport to Reduce Turnaround Times of Crucial Clearance Processes”
    Published: January 24, 2018, in Reliability and Statistics in Transportation and Communication
    DOI: 10.1007/978-3-319-74454-4_51
    Summary: This paper presents a simulation model aimed at reducing turnaround times for critical clearance processes at Riga International Airport.

  4. “Analysis of Riga International Airport Flight Delays”
    Published: January 24, 2018, in Reliability and Statistics in Transportation and Communication
    DOI: 10.1007/978-3-319-74454-4_50
    Summary: This study analyzes flight delays at Riga International Airport, identifying factors contributing to delays and suggesting improvements.

  5. “Simulation of Ground Vehicles Movement on the Aerodrome”
    Published: 2017, in Procedia Engineering
    DOI: 10.1016/j.proeng.2017.01.061
    Summary: This paper develops a simulation model to study the movement of ground vehicles on aerodromes, aiming to improve operational efficiency.

  6. “Vibroacoustic Soundproofing for Helicopter Interior”
    Published: 2023, in Aviation
    Summary: This study investigates methods for reducing vibratory and acoustic noise in helicopter interiors to enhance passenger comfort.

  7. “Comparative Statistical Analysis of Airport Flight Delays for the Period 2019–2020. Almaty International Airport Case Study”
    Published: 2022
    Summary: This research analyzes flight delays at Almaty International Airport, identifying contributing factors and proposing strategies to minimize delays.

Conclusion

Iyad Alomar presents a solid background in aviation and aerospace through education, international academic involvement, and advisory roles. These are valuable indicators of expertise and standing in the field. However, to be a strong contender for a Research in Aerospace Engineering Award, more emphasis should be placed

Congxi Fang | Atmospheric Science | Best Researcher Award

Dr Congxi Fang | Atmospheric Science | Best Researcher Award

Assistant Researcher, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, China.

Dr. Congxi Fang is an Assistant Researcher at the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences. He specializes in paleoclimatology, dendroclimatology, and climate-induced disasters in high mountain regions. Holding a Ph.D. in Environmental Science from the University of Chinese Academy of Sciences, Dr. Fang has led and contributed to over 30 peer-reviewed studies, including publications in Nature Communications and PNAS. His research focuses on the historical and future dynamics of meteorological and geological disasters, particularly in the Asian monsoon region. Dr. Fang’s work has significantly advanced the understanding of the ENSO-monsoon relationship and its impact on extreme weather events. He collaborates with institutions like the Institute of Earth Environment and Xi’an Jiaotong University, contributing to the reconstruction of climate records spanning millennia. Dr. Fang’s dedication to climate science positions him as a leading figure in his field.

Profiles

Scopus

Orcid

Education

Dr. Congxi Fang earned his Ph.D. in Environmental Science from the University of Chinese Academy of Sciences, where he specialized in paleoclimatology and dendroclimatology. His doctoral research focused on reconstructing historical climate patterns using tree-ring data and other proxies, providing insights into the Asian monsoon system’s variability over centuries. During his academic tenure, Dr. Fang developed expertise in analyzing paleoclimate records, contributing to a deeper understanding of climate dynamics in high-altitude regions. His educational background laid the foundation for his current research endeavors, which involve interdisciplinary approaches to studying climate change and its associated hazards. Dr. Fang’s commitment to academic excellence is evident in his extensive publication record and ongoing collaborations with leading research institutions.

Experience

Dr. Congxi Fang serves as an Assistant Researcher at the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences. In this role, he leads research projects focusing on historical meteorological disaster analysis, future disaster prediction, and the evolution of meteorological and geological disasters in high mountain regions of Asia. Dr. Fang has completed three major research projects and has published 37 SCI-indexed papers. His work involves reconstructing past climate events to understand current trends and predict future scenarios, particularly concerning the Asian monsoon and ENSO phenomena. Dr. Fang collaborates with institutions such as the Institute of Earth Environment and Xi’an Jiaotong University, contributing to multidisciplinary studies that inform disaster risk management and climate policy. His experience encompasses fieldwork, data analysis, and modeling, making him a valuable asset in the field of climate science.

Research Focus

Dr. Congxi Fang’s research centers on climate changes, paleoclimatology, and meteorological disasters, with a particular emphasis on high mountain regions in Asia. He investigates the historical patterns of climate variability, utilizing tree-ring data and other proxies to reconstruct past climate events. Dr. Fang’s work sheds light on the ENSO-monsoon relationship and its influence on extreme weather occurrences, such as heavy rainfall and droughts. His studies aim to understand the long-term evolution of meteorological and geological disasters, providing insights into future disaster prediction and risk assessment. By collaborating with various research institutions, Dr. Fang contributes to multidisciplinary approaches that enhance the understanding of climate dynamics and inform strategies for disaster mitigation and climate adaptation.

Publication Top Notes

  1. Climate Change in Southeast Tibet and Its Potential Impacts on Cryospheric Disasters
    Atmosphere, 2025-05-05
    DOI: 10.3390/atmos16050547
    Summary: This study examines the effects of climate change in Southeast Tibet, focusing on its implications for cryospheric disasters such as glacial lake outburst floods. The research highlights the increasing risks associated with warming temperatures and melting glaciers in the region.

  2. Recent Centennial Drought on the Tibetan Plateau is Outstanding Within the Past 3500 Years
    Nature Communications, 2025-02-03
    DOI: 10.1038/s41467-025-56687-z
    Summary: This paper presents a comprehensive analysis of drought patterns on the Tibetan Plateau, revealing that recent droughts are among the most severe in the past 3500 years. The findings suggest a link between these extreme events and anthropogenic climate change.Nature

  3. Historical Soil Moisture Variability in High‐Latitude Humid Regions: Insights From a Paleoclimate Data‐Model Comparison
    Earth’s Future, 2024-05
    DOI: 10.1029/2023EF004017
    Summary: This research combines paleoclimate data and modeling to investigate historical soil moisture variability in high-latitude humid regions, providing insights into past hydrological changes and their relevance to current climate trends.

  4. Enhanced Variability and Declining Trend of Soil Moisture Since the 1880s on the Southeastern Tibetan Plateau
    Water Resources Research, 2023-03
    DOI: 10.1029/2022WR033953
    Summary: The study analyzes soil moisture records from the southeastern Tibetan Plateau, identifying a significant decline and increased variability since the 1880s, which has implications for regional water resources and ecosystem stability.

  5. How is the El Niño–Southern Oscillation Signal Recorded by Tree‐Ring Oxygen Isotopes in Southeastern China?
    International Journal of Climatology, 2022-10
    DOI: 10.1002/joc.7601
    Summary: This paper explores the relationship between ENSO events and tree-ring oxygen isotope records in southeastern China, demonstrating the potential of dendroclimatology in reconstructing historical climate variability.

  6. Evolution of the Dry-Wet Variations Since 1834 CE in the Lüliang Mountains, North China and Its Relationship with the Asian Summer Monsoon
    Ecological Indicators, 2021
    DOI: 10.1016/j.ecolind.2020.107089
    Summary: The study reconstructs historical dry-wet variations in the Lüliang Mountains and examines their connection to the Asian summer monsoon, providing insights into regional climate dynamics over the past two centuries.

  7. Why Does Extreme Rainfall Occur in Central China During the Summer of 2020 After a Weak El Niño?
    Advances in Atmospheric Sciences, 2021-12
    DOI: 10.1007/s00376-021-1009-y
    Summary: This paper investigates the causes of extreme rainfall in Central China during the summer of 2020, analyzing the interplay between ENSO events and regional atmospheric conditions.

  8. A 210-Year Tree-Ring δ¹⁸O Record in North China and Its Relationship with Large-Scale Circulations
    Tellus B: Chemical and Physical Meteorology, 2020
    DOI: 10.1080/16000889.2020.1770509
    Summary: The research presents a 210-year tree-ring oxygen isotope record from North China, linking it to large-scale atmospheric circulation patterns and enhancing the understanding of historical climate variability.

  9. An Asian Summer Monsoon-Related Relative Humidity Record from Tree-Ring Δ¹⁸O in Gansu Province, North China
    Atmosphere, 2020
    DOI: 10.3390/atmos11090984
    Summary: This study reconstructs relative humidity variations associated with the Asian summer monsoon using tree-ring oxygen isotope data from Gansu Province, offering insights into past monsoon dynamics.

  10. Delayed Warming in Northeast China: Insights from an Annual Temperature Reconstruction Based on Tree-Ring δ¹⁸O
    Science of the Total Environment, 2020
    DOI: 10.1016/j.scitotenv.2020.141432
    Summary: The paper reconstructs annual temperature variations in Northeast China using tree-ring oxygen isotope data, revealing a delayed warming trend compared to global averages.

Conclusion

Dr. Congxi Fang is a highly qualified and deserving candidate for the Best Researcher Award. His prolific publication record, rigorous climate reconstructions, and contributions to understanding paleoclimate–monsoon dynamics in high-risk Asian regions exemplify scholarly excellence. Although his profile would benefit from expanded leadership visibility and formal professional affiliations, his scientific impact, thematic relevance, and quality of research clearly justify strong consideration for this award.

Satish Kabade | Computer Science and Artificial Intelligence | Best Industrial Research Award

Mr Satish Kabade | Computer Science and Artificial Intelligence | Best Industrial Research Award

Product Technical Expert, Communication Experts, United States

Satish Kabade is a seasoned IT Consultant and Solutions Architect with over 17 years of experience in software development, enterprise architecture, and cloud computing. He is renowned for his expertise in Microsoft .NET and Azure technologies, leading cross-functional teams to deliver scalable, high-performing solutions. Satish has been instrumental in integrating AI and Machine Learning into pension management systems, enhancing automation, risk analysis, and predictive analytics. His work includes developing AI-driven fraud detection algorithms, personalized retirement benefit recommendations, and AI-based chatbots for member inquiries. He holds certifications as an Azure Solution Architect, TOGAF 9 Certified Architect, and Certified Scrum Master. Satish is also a mentor, conducting workshops on design patterns, best coding practices, cloud migration strategies, and AI/ML implementation.

Profile

Google Scholar

Education 

Satish Kabade’s educational background reflects a strong foundation in technology and cloud computing. He completed a Post Graduate Program in Cloud Computing from Great Learning in 2021, equipping him with advanced knowledge in cloud technologies. Prior to this, he earned a Post Graduate Diploma in Computer Applications from CDAC, Pune, in 2006, which provided him with a comprehensive understanding of software development and computer science principles. His academic journey began with a Bachelor of Engineering in Mechanical Engineering from Shivaji University, Solapur, in 2004, showcasing his analytical and problem-solving skills. This diverse educational background has enabled Satish to bridge the gap between traditional engineering and modern IT solutions, making significant contributions to the integration of AI and cloud technologies in various domains, particularly in pension management systems.

Experience 

With over 17 years in the IT industry, Satish Kabade has amassed extensive experience in software development, enterprise architecture, and cloud computing. He has designed and developed full-stack solutions using .NET Core, C#, ASP.NET, and AWS cloud technologies, ensuring seamless integration between front-end and back-end components. Satish has leveraged AWS Cloud services such as EC2, S3, Lambda, and RDS to deploy, scale, and manage cloud-based applications, ensuring high availability and fault tolerance. His expertise extends to integrating AI and Machine Learning solutions into pension management systems, enhancing automation, risk analysis, and predictive analytics. Notably, he has developed AI/ML-based predictive analytics for retirement planning and investment forecasting, improving decision-making for pension fund administrators and members. Additionally, Satish has implemented AI-driven fraud detection algorithms for pension disbursements and payroll processing, minimizing risks and ensuring regulatory compliance.

Research Focus

Satish Kabade’s research focus centers on the integration of Artificial Intelligence (AI) and Machine Learning (ML) into pension management systems to enhance automation, risk analysis, and predictive analytics. He has developed AI/ML-based predictive analytics for retirement planning and investment forecasting, enabling improved decision-making for pension fund administrators and members. His work includes implementing AI-driven fraud detection algorithms for pension disbursements and payroll processing, minimizing risks and ensuring regulatory compliance. Satish has also designed and implemented Machine Learning models for personalized retirement benefit recommendations, leveraging historical contribution data and economic trends. Additionally, he has developed AI-based chatbots and virtual assistants for member inquiries, streamlining benefits administration and customer support. His research aims to improve the efficiency, security, and personalization of pension systems, contributing to the broader field of AI applications in financial services.

Publication Top Notes

  1. “AI-Driven Financial Management: Optimizing Investment Portfolios through Machine Learning”

    • Authors: T.V. Ambuli, S. Venkatesan, K. Sampath, Kabirdoss Devi, S. Kumaran

    • Published: August 2024

    • Conference: 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT)

    • Summary: This paper explores the application of AI and ML in optimizing investment portfolios, focusing on enhancing financial management strategies through advanced computational techniques.

  2. “A Machine Learning Model for Algorithmic Optimization of Superannuation Schemes”

    • Authors: Winfred Katile Mukunzi, Brian Wesley Muganda, Bernard Shibwabo

    • Published: October 2024

    • Summary: The study develops a machine learning-based recommendation model for optimal asset portfolio selection and allocation in superannuation schemes, addressing challenges in financial market uncertainties.

  3. AI-Driven Fraud Detection in Investment and Retirement Accounts
    Author: Ajay Benadict Antony Raju
    Published in: ESP International Journal of Advancements in Computational Technology, Volume 2, Issue 1, 2024

    Summary:
    This paper discusses the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques in detecting fraudulent activities within investment and retirement accounts. It highlights the limitations of traditional fraud detection methods and emphasizes the advantages of AI and ML in analyzing large datasets to identify patterns indicative of fraudulent behavior. The study underscores the importance of integrating AI-driven approaches to enhance the security and integrity of financial systems.ESP Journals

  4.  Enhancing AI-Based Financial Fraud Detection with Blockchain
    Authors: Prof. Kumar Lui, Prof. Kusal Fisher, Prof. Shyam Raj
    Published in: International Journal of Holistic Management Perspectives, Volume 4, Issue 4, 2023

    Summary:
    This article explores the integration of Blockchain technology with AI-based financial fraud detection systems. It examines how blockchain’s decentralized and immutable nature can complement AI models to provide more robust and transparent fraud detection mechanisms. The paper discusses various use cases and the potential benefits of combining these technologies to combat financial fraud effectively.

Conclusion

Satish Kabade is a highly capable technologist and applied researcher, especially in AI/ML integration within legacy government and pension systems. His work shows clear innovation, enterprise-scale application, and practical relevance, which are key strengths for industrial research recognition. However, for a Best Industrial Research Award, the lack of formal research dissemination (papers, presentations, patents) may be a limiting factor unless the award heavily favors applied over academic research.

Nana Chang | Power System Protection | Best Researcher Award

Dr. Nana Chang | Power System Protection | Best Researcher Award

Lecturer, School of Electrical Engineering, Xi’an University of Technology, China

Dr. Nana Chang is a distinguished researcher in electrical engineering, specializing in power system protection and renewable energy integration. She earned her Ph.D. in Electrical Engineering from Xi’an Jiaotong University in 2024, following a Master’s degree from North China Electric Power University and a Bachelor’s from Xi’an University of Technology. Currently serving as a Lecturer at Xi’an University of Technology, Dr. Chang bridges academia and industry through her involvement in several high-impact research projects. Her work addresses critical challenges in modern power systems, including fault protection in multi-voltage DC grids and resilience under extreme conditions. Dr. Chang has contributed to multiple national-level projects funded by the Ministry of Science and Technology and the National Natural Science Foundation of China. She also leads industry-sponsored research, focusing on innovative protection principles for renewable energy-dominated grids.

Profile

Orcid

Education

Dr. Nana Chang’s academic journey reflects a strong foundation in electrical engineering. She completed her Bachelor of Science in Electrical Engineering and Automation at Xi’an University of Technology in June 2012. Pursuing advanced studies, she obtained a Master of Science in Power System and Automation from North China Electric Power University (Beijing) in April 2015. Her academic pursuit culminated in a Doctor of Philosophy in Electrical Engineering from Xi’an Jiaotong University in September 2024. Her doctoral research focused on innovative protection methods for multi-voltage-level, multi-zone interconnected new energy DC distribution systems, addressing the evolving challenges in modern power systems. This progression showcases her commitment to advancing the field of electrical engineering through rigorous academic training and research.

Experience

Dr. Nana Chang’s professional experience spans both academia and industry, highlighting her expertise in electrical engineering. Since September 2024, she has been serving as a Lecturer at Xi’an University of Technology, where she contributes to the academic development of students and engages in cutting-edge research. Prior to her academic role, Dr. Chang worked at State Grid Xianyang Power Supply Company from August 2015 to June 2019, focusing on the secondary equipment maintenance of substations. This experience provided her with practical insights into power system operations and maintenance, enriching her research perspective. Her dual exposure to theoretical and practical aspects of electrical engineering enables her to bridge the gap between academic concepts and real-world applications effectively.

Research Focus 

Dr. Nana Chang’s research is centered on the protection and resilience of modern power systems, particularly in the context of renewable energy integration. Her doctoral research addressed fault characteristics and protection methods for multi-voltage-level, multi-zone interconnected new energy DC distribution systems, a critical area as the energy sector transitions toward decentralized and renewable sources. She is actively involved in projects funded by the Ministry of Science and Technology and the National Natural Science Foundation of China, focusing on protection strategies for flexible low-frequency transmission systems and resilience technologies for urban energy systems under extreme conditions. Additionally, Dr. Chang leads industry-sponsored research on innovative protection principles for renewable energy-dominated grids. Her work aims to enhance the reliability and stability of power systems amidst the challenges posed by renewable energy sources.

Publication Top Notes

📘1. Phase Current Based Fault Section Location for Single-Phase Grounding Fault in Non-Effectively Grounded Distribution Network

  • Journal: IEEE Transactions on Industry Applications

  • Year: 2025

  • Authors: Zhongxue Chang, Qingyu He, Nana Chang, Weibin Tan, Wei Zhang, Zhihua Zhang, Guobing Song

  • Summary:
    This paper proposes a novel phase current-based method to locate fault sections caused by single-phase grounding in non-effectively grounded distribution networks. The approach enhances fault localization accuracy in complex systems where conventional methods fall short. The solution reduces misjudgment rates and increases system reliability in medium-voltage power networks, especially relevant to regions with high renewable penetration.

📘 2. Adaptive Fault Identification for Multi-Level Relays Using Fault Tree and User-Defined Inverse-Time Characteristics Equation

  • Journal: Electric Power Systems Research

  • Year: September 2025

  • Authors: Nana Chang, Guobing Song, Jiaheng Jiang

  • Summary:
    This study introduces an adaptive method for fault identification in multi-level relay systems. By combining a fault tree analysis framework with user-defined inverse-time characteristics, the method provides more precise fault detection under variable grid configurations. The adaptive behavior supports more intelligent and flexible relay coordination, particularly important for evolving smart grid environments.

📘 3. An Adaptive Coordinated Wide-Area Backup Protection Algorithm for Network Topology Variability

  • Journal: IEEE Transactions on Power Delivery

  • Year: April 2024

  • Authors: Nana Chang, Guobing Song

  • Summary:
    This paper presents a wide-area backup protection algorithm that adapts to real-time changes in power system topology. The method dynamically adjusts coordination parameters based on topology recognition, improving fault response and ensuring system stability in large-scale and reconfigurable grids. It offers significant improvements in response speed and adaptability for modern interconnected systems.

📘 4. Fault Identification Method Based on Unified Inverse-Time Characteristic Equation for Distribution Network

  • Journal: International Journal of Electrical Power & Energy Systems

  • Year: March 2023

  • Authors: Nana Chang, Guobing Song, Junjie Hou, Zhongxue Chang

  • Summary:
    This article introduces a unified fault identification method for distribution networks using a standardized inverse-time characteristic equation. The technique enhances the coordination of protection devices across diverse protection zones. It is particularly suited for high-penetration renewable energy systems, where conventional settings may not provide reliable fault discrimination due to dynamic operating conditions.

Conclusion

Dr. Nana Chang demonstrates strong technical competence, relevance in research areas, and a well-rounded background in academic and industrial projects. Her work directly contributes to critical advancements in power system protection and renewable energy integration, areas vital to modern energy infrastructure.