Sadegh Kaviani | Renewable Energy Technologies | Best Researcher Award

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Sadegh Kaviani | Renewable Energy Technologies | Best Researcher Award

A.B. Nalbandyan Institute of Chemical Physics, National Academy of Sciences | Armenia 

Dr. Sadegh Kaviani is an accomplished computational chemist and postdoctoral researcher at the A.B. Nalbandyan Institute of Chemical Physics, National Academy of Sciences of Armenia. His research expertise lies in computational materials science, where he employs density functional theory (DFT), molecular dynamics (MD), and machine learning (ML) to explore, predict, and optimize advanced nanomaterials for energy storage, catalysis, and solar energy conversion. With a strong interdisciplinary background, he bridges theoretical modeling with practical material applications aimed at addressing the world’s growing energy and environmental challenges. Dr. Kaviani earned his Ph.D. in Physical Chemistry and has previously worked as a postdoctoral researcher at Kazan Federal University (Russia), contributing to pioneering studies on solid-state and hybrid electrolytes. His current work at the National Academy of Sciences of Armenia focuses on solid polymer electrolytes, covalent organic frameworks (COFs), perovskite solar cells, and ionic liquids, integrating AI-based predictive tools to design efficient and sustainable energy materials. Throughout his career, Dr. Kaviani has demonstrated outstanding research productivity and impact. He has authored or co-authored over 64 peer-reviewed journal publications in high-impact international journals indexed in SCI, Scopus, and Web of Science. His scholarly work has attracted more than 1,000 citations, achieving an h-index of 18 and an i10-index of 49 (as per Google Scholar). This citation record reflects both the quality and global relevance of his contributions to computational chemistry and materials science. He has also published one book (ISBN-registered) that synthesizes theoretical advances in the modeling of functional materials for energy applications. Dr. Kaviani’s research portfolio includes three major completed and ongoing projects, focusing on the atomistic understanding of ion transport, interfacial stability, and energy conversion mechanisms. His innovative studies on COF-based polymer electrolytes and ionic-liquid-assisted perovskite interfaces have opened new pathways for the design of high-performance batteries and solar devices. His integrative modeling approach has set new standards for computational evaluation of hybrid materials, combining quantum chemistry with data-driven optimization. Beyond research, Dr. Kaviani actively contributes to the scientific community as an Editorial Board Member for Theoretical Physics and Quantum Mechanics (Hill Publishing) and as a peer reviewer for more than 45 international journals, having completed over 150 reviews. He also collaborates internationally with researchers from China, India, Mexico, and South Africa, promoting global scientific exchange. A passionate advocate for computational innovation in sustainable technologies, Dr. Sadegh Kaviani stands out as a researcher whose academic excellence, integrity, and innovation continue to influence the next generation of material scientists. His record of productivity, international collaboration, and scientific service makes him a deserving nominee for the Best Researcher Award under the International Research Awards 2025.

Profiles: Orcid | Google Scholar

Featured Publications

Kaviani, S. (2025). Covalent organic framework-based solid polymer electrolytes for metal-ion batteries: Pioneering the future of DFT, MD, and ML techniques. Energy Storage Materials. https://doi.org/10.1016/j.ensm.2025.104671

Kaviani, S. (2025). Enhanced anodic performance of CTF0 monolayer for Li-ion batteries through F and Si co-doping: A DFT insight. Colloids and Surfaces A: Physicochemical and Engineering Aspects. https://doi.org/10.1016/j.colsurfa.2024.135752

Kaviani, S. (2025). A DFT study on an 18-crown-6-like-N8 structure as a material for metal ion storage: Stability and performance. Sustainable Energy & Fuels. https://doi.org/10.1039/D5SE00333D

Kaviani, S. (2025). Improving excited-state dynamic properties with the help of metalide character and excess electrons: Earlier transition-metal pairing with superalkali clusters. New Journal of Chemistry. https://doi.org/10.1039/D5NJ00827A

Kaviani, S. (2025). Stacking interactions in stabilizing supramolecular assembly of M[9C]₂M complexes: Dynamic stability with remarkable nonlinear optical features. Physical Chemistry Chemical Physics. https://doi.org/10.1039/D4CP04052J

Kaviani, S. (2024). A DFT modeling of 4-cyclohexene-1,3-dione embedded in covalent triazine framework as a stable anode material for Li-ion batteries. Materials Chemistry and Physics. https://doi.org/10.1016/j.matchemphys.2024.129592

Kaviani, S. (2024). A DFT-based design of B/N/P-co-doped oxo-triarylmethyl as a robust anode material for magnesium-ion batteries. Journal of Power Sources. https://doi.org/10.1016/j.jpowsour.2024.234425

Kaviani, S. (2022). First-principles study of the binding affinity of monolayer BC6N nanosheet: Implications for drug delivery. Materials Chemistry and Physics. https://doi.org/10.1016/j.matchemphys.2021.125375

 

 

Wenhao Pu | Renewable Energy | Excellence in Research Award

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Assoc. Prof. Dr. Wenhao Pu | Renewable Energy | Excellence in Research Award

Nanjing University of Aeronautics and Astronautics | China

Dr. WenHao Pu is an Associate Professor at the College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), China. His research interests encompass dense gas-solid flows, computational fluid dynamics, numerical heat and mass transfer, waste heat utilization, solar thermal utilization, compression energy storage systems, and additive manufacturing heat exchange technologies. Dr. Pu has authored 85 publications, with his most recent work focusing on thermal characteristics of heat sinks with embedded phase change materials in triply periodic minimal surfaces, published in the International Journal of Thermal Sciences. His research contributions have been cited 1322 times, and he has an h-index of 1. These metrics reflect the early stage of his research career and the specialized nature of his work. His academic journey includes a Ph.D. in Energy and Environment from Southeast University followed by a Postdoctoral Fellowship at NUAA’s College of Energy and Power Engineering. Dr. Pu has been serving as an Associate Professor at NUAA since 2011 and was a Visiting Scholar at the University of Nevada, Las Vegas. Dr. Pu’s work is instrumental in advancing the understanding and application of thermal management systems, with implications for energy efficiency and sustainable technologies.

Profiles: Scopus | Orcid

 

Featured Publications

“Thermal characteristics study of a heat sink with embedded phase change material (PCM) in the triply periodic minimal surfaces (TPMS)”.

“Thermal performance analysis on steady-state and dynamic response characteristic in solar tower power plant based on supercritical carbon dioxide Brayton cycle”.

“Performance study of a supercritical carbon dioxide energy storage system with non-uniform graded compression heat recovery”.

“Experimental and numerical investigations on the intermittent heat transfer performance of phase change material (PCM)-based heat sink with triply periodic minimal surfaces (TPMS)”.

Ying Zhang | Environmental Science | Best Researcher Award

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Assoc. Prof. Dr. Ying Zhang | Environmental Science | Best Researcher Award 

Assoc. Prof. Dr. Ying Zhang, Aerospace Information Research Institute, Chinese Academy of Sciences, China

Assoc. Prof. Dr. Ying Zhang is a renowned expert in atmospheric environment remote sensing at the Aerospace Information Research Institute, Chinese Academy of Sciences, China. She has published over 90 scientific papers and holds multiple patents in the field. Her pioneering work in particulate matter remote sensing and atmospheric composition inversion has been adopted by key institutions, including the China Meteorological Administration. Dr. Zhang has led numerous national and international research projects, received prestigious awards such as the Aerosol Young Scientist Award and China Patent Award, and collaborates globally with top research institutes in advancing environmental and atmospheric monitoring technologies.

Profile

Orcid

🎓 Early Academic Pursuits

Dr. Ying Zhang’s journey into the world of science began with a deep interest in environmental and atmospheric phenomena. Her academic foundation was solidified at the prestigious Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences (CAS), where she earned her Ph.D. in Remote Sensing. Her doctoral research focused on atmospheric environment remote sensing, laying the groundwork for a career dedicated to environmental monitoring through satellite data and advanced algorithms. Her early academic work reflected a blend of precision, curiosity, and a strong commitment to addressing environmental challenges through scientific innovation.

👩‍💼 Professional Endeavors

Currently serving as an Associate Professor at the Aerospace Information Research Institute, CAS, Dr. Zhang plays a vital role in advancing China’s capabilities in satellite-based environmental monitoring. Her professional journey includes participation in eight major national and international research projects, where she has worked extensively on atmospheric environmental remote sensing, air quality monitoring, and climate change analysis. In addition to her academic roles, she has provided critical consultancy as the Principal Investigator (PI) for three industry-linked projects in the meteorology and environmental protection sectors, bridging the gap between scientific research and practical application.

🔬 Contributions and Research Focus

Dr. Zhang is a pioneer in the field of remote sensing for atmospheric monitoring. Her research introduced the Multi-parameter Particulate Matter Remote Sensing (PMRS) approach, a breakthrough in differentiating anthropogenic and natural sources of air pollution using satellite data. This methodology has since been operationalized by the China Meteorological Administration for real-time haze monitoring via the FY-4 satellite. Furthermore, she developed a remote sensing inversion method for determining the chemical composition of atmospheric particulates—now utilized by over ten institutions through the SONET (Sun-Sky Radiometer Observation Network).

Her academic contributions include the authorship of over 90 scientific papers, 70 of which are indexed in the Web of Science Core Collection, earning her over 1,654 citations. She has also co-authored two monographs, one in English and another in Chinese, showcasing her ability to communicate complex scientific ideas to both domestic and international audiences.

🏆 Accolades and Recognition

Dr. Zhang’s exceptional contributions have earned her numerous prestigious awards that underscore her scientific impact. These include:

  • 🥇 Aerosol Young Scientist Award

  • 🧪 Beijing Natural Science Award

  • 🌱 Environmental Protection Science and Technology Award

  • 💡 China Patent Award for Excellence

These accolades not only highlight her technical excellence but also recognize her contributions to environmental sustainability and public health through improved monitoring systems and methodologies.

🌍 Impact and Influence

Dr. Zhang’s research has had a significant real-world impact. By advancing remote sensing techniques, her work has strengthened China’s environmental monitoring infrastructure, particularly in tracking air pollution and climate change. Her PMRS method is a cornerstone in national haze monitoring operations, while her composition inversion techniques have empowered research institutions and meteorological agencies to better understand and respond to pollution events.

In addition to her scientific output, she has actively shaped the research community through editorial roles, including guest editor positions at Remote Sensing and Atmosphere, and as an editorial board member of China Environmental Monitoring. Her collaborative efforts span across leading international institutions such as the Royal Netherlands Meteorological Institute, Japan Agency for Marine-Earth Science and Technology, University of Lille, and the University of Wisconsin-Madison—promoting global dialogue and cooperation in environmental science.

🧬 Legacy and Future Contributions

Dr. Zhang’s legacy is one of bridging theory and application, with her innovations in remote sensing poised to continue benefiting both scientific communities and policy-making bodies. Her leadership and contributions serve as an inspiration for young scientists, particularly women in STEM, and her methodologies are likely to influence future developments in artificial intelligence-driven remote sensing, big data atmospheric modeling, and international climate change monitoring frameworks.

Looking ahead, Dr. Zhang is expected to further explore multi-source data integration, enhancing the precision and scope of environmental monitoring systems. With 10 invention patents already published and 4 more under process, her work continues to shape the evolving landscape of atmospheric sciences and remote sensing technology.

Publication Top Notes

Inversion of the global carbonaceous aerosol components (CACs) based on ground-based remote sensing of AERONET

Contributors: Zhuolin Yang; Ying Zhang; Yisong Xie; Hua Xu; Chaoyu Yan; Tong Hu; Zhengqiang Li
Journal: Environment International
Year: 2025

Aerosol Optical Depth Retrieval Over Land from Particulate Observing Scanning Polarimeter (POSP) Using a New Look-Up Table (LUT) Method

Contributors: Zhe Ji; Zhengqiang Li; Ying Zhang; Yan Ma; Zheng Shi; Xiaoxi Yan; Yisong Xie; Yang Zheng; Zhenting Chen
Journal: Aerosol Science and Engineering
Year: 2024

Robert Hahn | Renewable Energy Technologies | Outstanding Scientist Award

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Robert Hahn | Renewable Energy Technologies | Outstanding Scientist Award

Dr Robert Hahn, Fraunhofer IZM, Germany

Dr. Robert Hahn leads the Micro Energy Group at Fraunhofer IZM in Berlin. 🎓 He earned his M.Sc. and Ph.D. in Electrical Engineering from the Technical University of Dresden in 1986 and 1990. Joining Fraunhofer IZM in 1994, he has driven numerous national and European projects on batteries, micro fuel cells, and hydrogen generators. 🔋 With 30 patents and over 100 publications, his research covers lithium-ion, aluminum-ion, and nickel-zinc batteries, plus hydrogen storage. 🚀 He coordinated the FP7 MATFLEXEND project and now leads the BMBF Zn-H2 project, focusing on micro-batteries and hydrogen storage systems. 🌟

Publication profile

Google scholar

Education

Dr. Robert Hahn is the head of the Micro Energy Group at Fraunhofer IZM in Berlin. He earned his M.Sc. (1986) and Ph.D. (1990) in Electrical Engineering from the Technical University of Dresden. He joined Fraunhofer IZM in 1994.

Teaching & Projects

He lectures on micro energy storage at the Technical University of Berlin. His team is prototyping micro-batteries and demonstrating hydrogen storage systems for industrial applications.

Research focus

Based on the provided publications, this researcher’s focus is on advancing battery technologies and energy systems. Their work spans various types of batteries, including aluminum-graphite and microbatteries, and involves enhancing performance and stability through novel materials and design approaches. Key contributions include developing high-performance aluminum batteries, planar micro fuel cells, and exploring recycling processes for lithium-ion batteries. Their research also addresses energy autonomy in sensor systems and innovations in power supplies. The integration of advanced materials and cutting-edge technologies is central to their work, aiming to improve energy storage and efficiency. 🔋🔬🔧

Publication top notes

An overview and future perspectives of aluminum batteries

Development of a planar micro fuel cell with thin film and micro patterning technologies

Planar self-breathing fuel cells

\Insights into the reversibility of aluminum graphite batteries

Closed-loop hydrometallurgical treatment of end-of-life lithium ion batteries: Towards zero-waste process and metal recycling in advanced batteries

Stability of planar PEMFC in printed circuit board technology

Physics with colder molecular ions: the Heidelberg Cryogenic storage ring CSR

Batteries and power supplies for wearable and ubiquitous computing

Polyacrylonitrile separator for high-performance aluminum batteries with improved interface stability

Energy autonomous sensor systems: Towards a ubiquitous sensor technology

 

Pramod Patil | Smart Electricity Grid | Best Researcher Award

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Dr. Pramod Patil | Smart Electricity Grid | Best Researcher Award

Dean at Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India.

Dr. Pramod D. Patil, a seasoned academician and researcher, holds a Ph.D. in Computer Engineering from the Government College of Engineering, Pune. With over 22 years of experience, he currently serves as the Professor and Dean of Research and Development at Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, and as the Dean of the Faculty of Science and Technology at Savitribai Phule Pune University. Dr. Patil’s research interests span machine learning, data security, blockchain applications, and smart grid technology. He has supervised numerous Ph.D., undergraduate, and postgraduate projects and has an extensive publication record in esteemed conferences and journals. Recognized for his contributions to teaching, research, and administration, Dr. Patil is a life member of the Indian Society for Technical Education (ISTE) and actively participates in professional societies like the Computer Society of India (CSI) and the Association of Computing Machinery (ACM).

Professional Profiles:

Education

Dr. Pramod Patil holds a Ph.D. in Computer Engineering from Govt. College of Engineering, Pune, which he completed in 2015. Prior to his doctoral studies, he obtained his M.E. in Computer Engineering from the same institution in 2002 and his B.E. in Computer Science and Engineering from S.G.G.S. College of Engineering and Technology, Nanded, in 2000. With over 22 years of experience in academics, research, and administration, Dr. Patil currently serves as a Professor and Dean of Research and Development at Dr. D.Y. Patil Institute of Technology, Pimpri, Pune. Additionally, he holds the position of Dean of the Faculty of Science and Technology at Savitribai Phule Pune University. Dr. Patil is dedicated to contributing to the advancement of outcome-based education systems across the nation.

Professional Experience

Dr. Pramod Patil has amassed extensive professional experience over more than two decades. He has been associated with Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, since November 2001, where he has held various academic and administrative roles. Beginning as a Lecturer, he progressed to Assistant Professor, Associate Professor, and eventually assumed the position of Professor, which he has held since January 2016. Dr. Patil has also taken on significant administrative responsibilities, serving as Dean of Research and Development, Principal, Vice Principal, and Head of the Computer Engineering Department. Notably, he has been actively involved in accreditation processes at both the institute and university levels, ensuring compliance with standards set by organizations such as NBA, NAAC, and NIRF. Additionally, Dr. Patil has contributed to the assessment of other institutes and served on various committees related to faculty selection, course development, and research center establishment.

Research Interest

Dr. Pramod Patil’s research interests span several domains within computer engineering and related fields. He is particularly focused on cutting-edge areas such as machine learning in smart electricity grids, concept drift data stream mining, data security and privacy, and blockchain applications in the medical sector. His expertise also extends to topics like databases, management information systems, mobile applications, multimedia streaming, and more. Dr. Patil’s research pursuits aim to address contemporary challenges and explore innovative solutions to advance technology and enhance societal well-being.

Award and Honors

Dr. Pramod Patil has been honored for his exceptional contributions to academia and research. Notable accolades include recognition for his outstanding academics and paper publications by the Chairman of Dr. D.Y. Patil Unitech Society, Pune. Additionally, he received the Best Paper Award at the National Conference on Mobile Computing and Networking and the IEEE Conference on Energy Systems and Applications in 2015. His paper on Multimedia Content Security Enhancement also earned him recognition at the International Conference on Parallel and Distributed Computing. Furthermore, Dr. Patil has been commended for his significant contributions to teaching and learning by the Principal of Dr. D.Y. Patil Institute of Engineering and Technology, Pune. These accolades underscore Dr. Patil’s commitment to excellence in computer engineering and research.

Research Skills

Dr. Pramod Patil possesses advanced research skills honed over years of academic and professional experience. His expertise spans various domains, including machine learning in smart electricity grids, mining concept drift data streams, data security and privacy, and blockchain applications in the medical field. With a robust understanding of research methodologies and techniques, Dr. Patil has guided numerous Ph.D., undergraduate, and postgraduate projects across diverse areas such as databases, management information systems, machine learning, data mining, security, mobile applications, and multimedia streaming. His research skills are evident in his prolific publication record, with numerous papers published in Scopus/Web of Science indexed conferences and journals, as well as non-indexed conferences and journals. Additionally, Dr. Patil has contributed to the development of patented technologies and copyrighted materials, further demonstrating his innovative research capabilities.

Publications

  1. CNN-AdaBoost based hybrid model for electricity theft detection in smart grid
    • Authors: S. Nirmal, P. Patil, J.R.R. Kumar
    • Journal: e-Prime – Advances in Electrical Engineering, Electronics and Energy
    • Year: 2024
    • Citations: 1
  2. FakeIDCA: Fake news detection with incremental deep learning based concept drift adaption
    • Authors: S. Suryawanshi, A. Goswami, P. Patil
    • Journal: Multimedia Tools and Applications
    • Year: 2024
    • Citations: 0
  3. Breast Cancer Detection Using Transfer Learning
    • Authors: J.P. Kshirsagar, B. Phulpagar, P. Patil
    • Journal: International Journal of Intelligent Systems and Applications in Engineering
    • Year: 2024
    • Citations: 0
  4. CAC-WOA: context aware clustering with whale optimization algorithm for knowledge discovery from multidimensional space in electricity application
    • Authors: P.G. Ahire, P.D. Patil
    • Journal: Cluster Computing
    • Year: 2024
    • Citations: 0
  5. BiLSTM CLASSIFIER MODEL FOR LAND COVER CHANGE DETECTION AND CLASSIFICATION | MODELO CLASSIFICADOR BiLSTM PARA DETECÇÃO E CLASSIFICAÇÃO DE ALTERAÇÕES DA COBERTURA DE TERRENOS
    • Authors: P. Surana, B. Phulpagar, P. Patil
    • Journal: Revista de Gestao Social e Ambiental
    • Year: 2024
    • Citations: 0
  6. Quantum Cryptography for Secure Autonomous Vehicle Networks: A Review
    • Authors: T. Pradhan, P. Patil
    • Conference: 2024 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2024
    • Year: 2024
    • Citations: 0
  7. IRBM: Incremental Restricted Boltzmann Machines for Concept Drift Detection and Adaption in Evolving Data Streams
    • Authors: S. Suryawanshi, A. Goswami, P. Patil
    • Journal: Communications in Computer and Information Science
    • Year: 2024
    • Citations: 0
  8. CDA-PDDWE: Concept Drift-Aware Performance-Based Diversified Dynamic Weighted Ensemble for Non-stationary Environments
    • Authors: S. Suryawanshi, A. Goswami, P. Patil
    • Journal: Arabian Journal for Science and Engineering
    • Year: 2024 (Article in Press)
    • Citations: 0
  9. Recent Methods on Medical Image Inpainting and Multi-task Learning Using Deep Learning Models
    • Authors: P. Rakibe, P.D. Patil
    • Conference: Smart Innovation, Systems and Technologies
    • Year: 2024
    • Citations: 0
  10. Efficient approximation and privacy preservation algorithms for real time online evolving data streams
    • Authors: R.A. Patil, P.D. Patil
    • Journal: World Wide Web
    • Year: 2024
    • Citations: 1