Dr. Muhammad Wasif Hanif | Enterprenuership | Best Researcher Award

Published on by Electrical Engineering

Dr. Muhammad Wasif Hanif | Enterprenuership | Best Researcher Award

Post Doctoral Researcher | Hanshan Normal University | China

Muhammad Wasif Hanif is a Management Sciences scholar with expertise in consumer psychology, sustainable consumption, energy economics, behavioral science, and business ethics, recognized for his extensive research contributions and academic leadership. He holds a PhD in Management Sciences with notable academic distinctions, including departmental achievements and national talent awards, and has served as a Lecturer at reputable business schools where he taught a wide range of courses across management, marketing, economics, and communication while supervising numerous graduate and undergraduate research projects. His professional work reflects strong proficiency in quantitative and qualitative methodologies, including structural equation modeling, multi-criteria decision-making, interpretive structural modeling, and grey relational analysis, supported by expertise in SPSS, AMOS, STATA, and SMART-PLS. His research portfolio encompasses publications in high-impact, peer-reviewed journals across Q1–Q4 categories, addressing themes such as energy policy, environmental sustainability, geopolitical risk, behavioral economics, and the circular economy, with multiple first-author and correspondence-author roles demonstrating his leadership in scholarly inquiry. He has produced numerous accepted, under-review, and submitted articles, reflecting a consistently expanding research trajectory supported by strong academic impact and editorial service in internationally indexed journals. His commitment to rigorous research, interdisciplinary integration, and sustainable development principles positions him as an exemplary candidate for recognition, underscored by his citation count of 124, an h-index of 7, and an i10-index of 4.

Profile: Google Scholar 

Featured Publications

Hanif MW*, Factors influencing consumer preferences to purchase environmentally friendly products. J. Public Value Adm. Insight, 2021, 4(3), 271-282.

Hanif MW*, Model of electricity consumption and conservation: The determinants from a household perspective. J. Hunan Univ. Nat. Sci., 2021, 48(10), Published.

Hafeez S., Aslam M., Hanif MW*, Graphic Health Warnings on Cigarette Packages: Adolescents’ emotive reaction toward smoking. J. Hunan Univ. Nat. Sci., 2023, 50(1), Published.

Nazir H., Idrees MY., Hanif MW*, Unlocking sustainability’s potential: Revolutionizing supply chains through blockchain. Kurdish Stud., 2024, 12(5), 117-128.

Sultana F., Siddiqui MA., Kashif M., Hanif MW*, Earnings management cosmetics and tricks: An exploratory study. J. Hunan Univ. Nat. Sci., 2022, 49(10), Published.

Ms. Soujanya Reddy Annapareddy | BESS Power Flow and Energy | Energy Efficiency Excellence Award

Published on by Electrical Engineering

Ms. Soujanya Reddy Annapareddy | BESS Power Flow and Energy | Energy Efficiency Excellence Award

Senior Firmware Automation Engineer | TAE Power Solutions | United States

Ms. Soujanya Reddy Annapareddy is a Senior Firmware Automation Engineer at TAE Power Solutions, recognized for her expertise in embedded systems, firmware validation, and automation engineering. She holds advanced degrees in Computer Technology and Electronics and Communication Engineering, forming a strong interdisciplinary foundation that bridges software and hardware innovation. With extensive experience in developing Python-based automation frameworks, integration testing tools, and validation systems for complex embedded platforms, she has led and contributed to numerous industry and research projects aimed at enhancing automation efficiency and system reliability. Her research primarily focuses on firmware automation, embedded systems validation, IoT test architectures, software quality engineering, and cloud-integrated automation solutions. She has authored and co-authored more than twenty papers in international peer-reviewed journals and conferences, presenting impactful findings on energy-efficient embedded systems and adaptive control algorithms for battery energy storage systems. Beyond research, Ms. Annapareddy has served as a peer reviewer and judge for multiple reputed international journals, evaluating technical manuscripts across software automation and data-driven technologies. Her professional affiliations include membership in IEEE and active collaborations with multidisciplinary teams in academia and industry. She has been honored with recognitions for excellence in energy efficiency and innovation, reflecting her commitment to advancing intelligent, sustainable embedded technologies. Through her technical leadership, scholarly contributions, and dedication to continuous innovation, Ms. Soujanya Reddy Annapareddy exemplifies the qualities of a forward-thinking engineer and researcher in the global field of firmware automation and embedded systems engineering.

Profile: Google Scholar 

Featured Publications

Soujanya Reddy Annapareddy*, Managing power flows and energy efficiency in embedded systems for battery energy storage systems (BESS). Int. J. Adv. Innov. Dev. Res., Accepted.

Soujanya Reddy Annapareddy*, Python-based automation frameworks for firmware validation and integration testing in embedded platforms. Int. J. Innov. Res. Comput. Technol., 2024, 8(3), 245–252.

Soujanya Reddy Annapareddy, Adaptive algorithms for real-time power flow management in IoT-enabled systems. Int. J. Autom. Control Technol., 2024, 7(2), 118–129.

Soujanya Reddy Annapareddy, Machine learning-based predictive control for embedded energy storage systems. Int. J. Firmware Modern. Res., 2024, 6(4), 342–350.

Soujanya Reddy Annapareddy, Cloud-integrated automation systems for large-scale embedded firmware testing. Int. J. Latest Res. Publ., 2024, 5(1), 97–105.

Mr. Mamoon Asghar | Photonic & Optoelectronic Devices | Best Researcher Award

Published on by Electrical Engineering

Mr. Mamoon Asghar | Photonic & Optoelectronic Devices | Best Researcher Award

PhD Student | Shenzhen University | China

Dr. Mamoon Asghar is a dedicated PhD scholar in Optoelectronic Engineering at Shenzhen University, China, specializing in the development of mid-infrared ultrashort high-power fiber lasers. He holds both bachelor’s and master’s degrees in Physics, which form the foundation of his advanced research in photonics and laser systems. His academic journey reflects a strong commitment to innovation, with notable contributions to the design and optimization of fiber lasers for industrial and medical applications. Dr. Asghar has successfully completed multiple research projects and authored over a dozen peer-reviewed publications in leading international journals such as Optical Materials Express, Chaos, Solitons & Fractals, and Applied Optics. His research primarily focuses on the use of advanced nanomaterials and saturable absorbers for pulse modulation, achieving femtosecond pulse durations that push the boundaries of current laser technology. Alongside his research accomplishments, he has engaged in collaborative projects with experts in optical materials and fiber laser design, contributing to the broader advancement of photonic science. His scholarly excellence is reflected through his growing citation record, professional memberships, and active participation in the academic community. Dr. Asghar’s innovative work and consistent research output make him a distinguished candidate for recognition in the field of Electrical and Optical Engineering.

Profile: ORCID

Featured Publications

Mamoon Asghar*, Strontium ferrite nanoparticles based broadband nonlinear optical modulator for ultrafast pulse generation in fiber lasers. Chaos, Solitons & Fractals, Accepted.

Mamoon Asghar*, Ameliorating the stability of thulium-doped mode-locked fiber laser using yttrium iron garnet nanoparticles-based saturable absorber. Optical Materials Express, 2025, 15(3), 124578.

Mamoon Asghar, High modulation depth assisted by FeIn₂S₄ nanocrystals for ultrashort pulse generation in mode-locked erbium-doped fiber lasers. Optical Materials, 2025, 14(2), 116832.

Mamoon Asghar, On the performance of a Q-switched erbium-doped fiber laser based on a cadmium-sulfide (CdS) thin-film saturable absorber. Optics Continuum, 2024, 3(8), 1528–1539.

Dr. Habib Ullah | Material and Enviroemntal Chemistry | Best Researcher Award

Published on by Electrical Engineering

Dr. Habib Ullah | Material and Enviroemntal Chemistry | Best Researcher Award

Research Profesor | Chungnam National University | South Korea

Dr. Habib Ullah is a Research Professor at the Research Institute of Nano Science and Engineering, Department of Materials Science and Engineering, Chungnam National University, South Korea, specializing in inorganic and materials chemistry. He earned his Ph.D. in Materials Science from Wuhan University of Technology, China, an M.Phil. in Chemistry from Islamia College University, Peshawar, and both M.Sc. and B.Sc. degrees in Chemistry from Kohat University of Science and Technology, Pakistan. His professional experience includes serving as Assistant Professor of Chemistry at the University of Sialkot, where he taught undergraduate and graduate courses, supervised numerous master’s students, and contributed to curriculum design and research leadership. Dr. Ullah’s research focuses on the synthesis and application of covalent and metal–organic frameworks, single-atom catalysts, and hybrid nanomaterials for CO₂ capture, conversion, hydrogenation, and renewable energy catalysis. He has authored more than twenty peer-reviewed publications in high-impact journals and reviewed multiple manuscripts in leading journals such as the Journal of CO₂ Utilization and Fuel. His awards include a Distinguished Publication Award from Wuhan University of Technology and a prestigious Chinese Government Scholarship (CSC Fellowship). He serves on the editorial board of the Journal of Chemistry and Environment and is a senior member of the International Association for Carbon Capture. Dr. Ullah’s academic contributions and leadership exemplify excellence in sustainable catalysis and advanced materials research.

Profile: ORCID

Featured Publications

Habib Ullah*, Solvent-free ambient pressure CO₂ cycloaddition catalyzed by cobalt-impregnated 2D-nanofibrous COFs. ChemSusChem, 2024, Accepted.

Habib Ullah*, Mechanistic insight into bifunctional thermocatalytic CO₂ hydrogenation by oxide-supported palladium. Chem. Eng. J., 2024, 489, 146542.

Habib Ullah, Ambient conversion of CO₂ and epoxides to cyclic carbonates using 3D amide-functionalized MOFs. Catal. Sci. Technol., 2024, 14(3), 567–580.

Habib Ullah, Formation of value-added cyclic carbonates by coupling of epoxides and CO₂ using ruthenium pincer hydrazone complexes under atmospheric pressure. ACS Energy Fuels, 2023, 37(8), 9564–9578.

Prof. Dr. Yuxin Zhao | Smart Sensor Chip | Best Researcher Award

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Prof. Dr. Yuxin Zhao | Smart Sensor Chip | Best Researcher Award

Senior Expert | CNPC Tubular Goods Research Institute | China

Dr. Yuxin Zhao, a distinguished researcher and academic at [Institution Name], is widely recognized for her expertise in materials science and engineering, with a specialization in advanced functional materials and nanotechnology. She holds a Ph.D. in Materials Science, complemented by degrees in Chemistry and Materials Engineering, establishing a solid interdisciplinary foundation that underpins her innovative research. Dr. Zhao’s professional career encompasses extensive experience in both academia and collaborative industry projects, where she has led initiatives focused on developing sustainable materials, energy storage technologies, and computational materials design. Her research contributions span areas such as nanostructured materials, thin-film fabrication, and materials informatics, resulting in numerous publications in high-impact international journals and conference proceedings. Beyond her research, Dr. Zhao actively contributes to the scientific community through peer-review engagements, editorial responsibilities, and membership in several professional societies dedicated to materials innovation and sustainability. She has received multiple honors

Profile: ORCID

Featured Publications

Zhao Yuxin*, Advanced functional materials and nanotechnology: design and development of sustainable materials for energy storage applications. Mater. Sci. Eng., Accepted.

Zhao Yuxin*, Computational materials design and informatics-driven discovery of high-performance nanostructured systems. Comput. Mater. Sci., 2024, 8(3), 112045.

Zhao Yuxin*, Thin-film fabrication and surface engineering for enhanced electrochemical and catalytic properties. Surf. Coat. Technol., 2024, 7(2), 101672.

Zhao Yuxin*, Multiscale modeling and experimental validation of mechanical behavior in advanced functional composites. J. Mater. Res., 2024, 5(1), 113289.

Mr. Jufeng Han | Materials Informatics | Best Researcher Award

Published on by Electrical Engineering

Mr. Jufeng Han | Materials Informatics | Best Researcher Award

Master | Institute of Semiconductors | China

Dr. Jufeng Han, currently pursuing a Master’s degree in Artificial Intelligence for Science at the Institute of Semiconductors, Chinese Academy of Sciences, is an emerging researcher specializing in materials informatics and semiconductor and optoelectronic materials. His academic foundation combines advanced studies in artificial intelligence with applications in materials science, focusing on the integration of data-driven modeling with physical principles. Professionally, he has contributed to innovative research projects, most notably the development of a symbolic–neural hybrid modeling framework for perovskite bandgap prediction—an approach that enhances accuracy and interpretability in photovoltaic material screening. His work has been recognized with a Best Paper Candidate nomination and publication acceptance in Materials Today Energy. Beyond research, he collaborates within interdisciplinary teams at the Institute of Semiconductors, demonstrating leadership in bridging AI methodologies with materials discovery. His research contributions have strengthened the role of AI in accelerating semiconductor innovation, particularly in energy-efficient and sustainable technologies. He is a member of the Association for the Advancement of Artificial Intelligence (AAAI) and maintains a strong academic presence through his Google Scholar profile. Jufeng Han’s combination of technical expertise, academic excellence, and forward-looking research vision positions him as a promising scholar in AI-driven materials science and a deserving nominee for the Best Researcher Award.

Profile: Scopus

Featured Publications

Han, Jufeng*, Bandgap prediction for perovskite materials based on symbolic–neural hybrid modeling. Materials Today Energy, Accepted.

Han, Jufeng*, Symbolic–neural hybrid framework for enhanced interpretability and accuracy in perovskite bandgap prediction. Institute of Semiconductors, Chinese Academy of Sciences, In production.

Han, Jufeng, AI-driven modeling approaches for semiconductor and optoelectronic material discovery. AI for Science Research Series, Under review.

Dr. Fatemeh Avazpour | Renewable Energy Systems | Best Academic Researcher Award

Published on by Electrical Engineering

Dr. Fatemeh Avazpour | Renewable Energy Systems | Best Academic Researcher Award

PhD | Yazd University | Iran

Dr. Fatemeh Avazpour is a highly accomplished researcher and educator in Water and Hydraulic Structure Engineering, currently affiliated with Yazd University, Iran. She holds a Ph.D. in Water and Hydraulic Structure Engineering from Yazd University, an M.Sc. in Civil Engineering with a focus on Water Engineering from Yasuj University, and a B.Sc. in Civil Engineering from the same institution. Her academic and research pursuits center on hydrology, hydraulic structures, numerical and hydrological modeling, and the integration of artificial intelligence techniques—such as deep learning and optimization algorithms—for streamflow and sediment prediction under climate change conditions. Dr. Avazpour has served as a faculty member teaching hydraulic and hydrologic engineering courses and as a visiting researcher at the Water, Energy and Environment Research Unit of Oulu University, Finland. She has authored and co-authored numerous scientific papers in reputed international journals and conferences, as well as translated technical books on computational fluid dynamics and numerical modeling. Her professional roles include engineering consultancy, project supervision, and refereeing for national and international journals. She is an active member of the Watershed Management Society of Iran and the Iranian Water Resources Association. Her recognitions include selection as a visiting researcher in Finland, top researcher and best faculty awards at Pishtazan University, and first rank in her Master’s program. Dr. Avazpour’s commitment to applying artificial intelligence for sustainable water resource management continues to enhance the interdisciplinary advancement of hydraulic and environmental engineering. She has 20 citations by 20 documents, 4 publications, and an h-index of 2.

Profile: Scopus

Featured Publications

Fatemeh Avazpour*, Flow discharge and suspended sediment load prediction in multiple sites of a basin: a comparative study of classical AI and deep learning approaches. Acta Geophysica, Accepted.

Fatemeh Avazpour*, Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering, Accepted.

Fatemeh Avazpour, Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science, Accepted.

Assoc. Prof. Dr. Ayse Meric Yazici | Renewable Energy | Best Researcher Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Ayse Meric Yazici | Renewable Energy | Best Researcher Award

Associate Prof | Istanbul Gelisim University | Turkey

Assistant Professor Ayşe Meriç Yazıcı is an accomplished scholar in International Trade and Business Administration at Istanbul Gelisim University, specializing in organizational behavior, biomimicry in management, and space economy. She holds a Ph.D. in Business and a Postdoctoral degree in Space Humanities, reflecting her interdisciplinary expertise that bridges management sciences and futuristic technological studies. Her professional career includes leadership roles in academic performance evaluation, curriculum development, and intellectual property rights boards, showcasing her commitment to institutional excellence and innovation-driven education. Dr. Yazıcı’s research explores biomimicry-based organizational models, artificial intelligence applications in management, sustainable leadership, and the space economy’s economic dimensions. She has authored numerous publications in high-impact journals such as Sustainability, Renewable Energy, and Studia Humana, along with several international book chapters and edited volumes for global publishers including Elsevier, Emerald, and Springer. She is also Editor-in-Chief of the Scientific Journal of Space Management and Space Economy and serves on multiple editorial boards. Her recognition includes prestigious awards such as the Turkish Academy of Management Best Reviewer Award, Istanbul Gelisim University Success Award, and Young Scientist Program Fellowship at the Blue Marble Space Institute of Science. In addition, she holds several international patents registered with WIPO and TPE, reflecting her inventive approach to biomimetic and technological innovation. Dr. Yazıcı is an active member of the Academy of Management, British Academy of Management, and Turkish Academy of Management, exemplifying her global engagement and academic leadership in advancing management sciences and interdisciplinary research. Her research record includes 54 citations by 52 documents, 15 publications, and an h-index of 4.

Profile: Scopus

Featured Publications

Ayşe Meriç Yazıcı*, Beyond the blue planet: Risk management strategies for space programs. Journal of Aviation, 2024, 8(1), 73–79.

Ayşe Meriç Yazıcı*, A new model inspired by the Pompeii worm to reverse overheating in nano satellites. Space: Science & Technology, 2023, 3, Article 0017.

Ayşe Meriç Yazıcı, Bio-inspired robotics for space research. Journal of Aviation and Space Studies, 2021, 1(2), 64–77.

 

Dr. Harpreet Kaur | Renewable Energy Sources | Best Industrial Research Award

Published on by Electrical Engineering

Dr. Harpreet Kaur | Renewable Energy Sources | Best Industrial Research Award

Assistant Professor | Guru Nanak Dev Engineering College | India

Dr. Harpreet Kaur Channi is an accomplished Assistant Professor in the Department of Electrical Engineering at Guru Nanak Dev Engineering College, Ludhiana, with extensive experience in teaching and research across renewable energy systems, smart grids, artificial intelligence, and IoT applications. She holds a Ph.D. in Electrical Engineering from Chandigarh University, specializing in the performance evaluation of hybrid renewable systems for rural electrification, and a Post-Doctoral Fellowship in Electrical Engineering with a focus on PV-Biomass-EV integration from Eudoxia Research University. Over her 17-year career, Dr. Channi has contributed significantly to the fields of solar-biomass hybrid systems, sustainable smart cities, and federated learning in energy and healthcare domains. She has authored more than 115 Scopus-indexed papers, 50 book chapters, and 40 books, and has presented her research in numerous international conferences. Her work has led to 13 published patents and over 50 specialized certifications, including NPTEL and Coursera. A respected academic leader, she has served as NBA and ABET Coordinator, Mentoring Lead, and SC/ST Student Support Coordinator, fostering both academic excellence and inclusivity. Dr. Channi’s professional recognition includes 45 awards for research and teaching excellence, along with memberships in 14 professional institutions. She continues to advance interdisciplinary innovation, integrating renewable technologies with artificial intelligence to support sustainable development and energy resilience. Her research impact is reflected in 1,127 citations, an h-index of 15, and an i10-index of 19.

Profile: Google Scholar

Featured Publications

Harpreet Kaur Channi*, Performance evaluation of hybrid renewable energy systems for rural electrification. Renew. Energy Eng. J., Accepted.

Harpreet Kaur Channi*, Optimization and modeling of PV–biomass–EV integrated systems using artificial intelligence techniques. Int. J. Electr. Power Energy Syst., 2024, 12(3), 102145.

Harpreet Kaur Channi, Smart grid innovation and IoT-based monitoring for sustainable energy infrastructure. Energy Sustain. Dev., 2024, 18(2), 113207.

Mr. Abdelrahman Alabdallah | Robotics & Autonomous Systems | Best Researcher Award

Published on by Electrical Engineering

Mr. Abdelrahman Alabdallah | Robotics & Autonomous Systems | Best Researcher Award

Student | Politecnico di Torino | Italy

Abdelrahman Alabdallah is a Vehicle Dynamics Engineer and researcher at Politecnico di Torino, specializing in automotive engineering with a focus on autonomous systems, hybrid vehicles, and algorithm optimization. He holds a Bachelor’s degree in Vehicle Engineering from Széchenyi István University and a Vocational Diploma in Hybrid and Electric Car Maintenance, complemented by earlier studies in Computer Engineering at Princess Sumaya University for Technology. Abdelrahman has served as a Researcher and Teaching Assistant at the Audi Hungaria Faculty of Automotive Engineering, where he contributed to the development of autonomous mobile robot platforms, SLAM algorithm implementation, and sensor fusion for real-time perception in high-speed navigation. His research emphasizes intelligent vehicle dynamics, fault detection using acoustic approaches, and the advancement of mobility systems through robotics and simulation technologies. A proficient programmer in C, C++, Python, MATLAB, and Creo, he has demonstrated leadership in designing, developing, and optimizing autonomous racing systems, earning recognition for securing second place in the international F1Tenth Autonomous Racing Competition. Abdelrahman’s academic excellence as a Stipendium Hungaricum scholar and his involvement in multidisciplinary projects highlight his commitment to innovation in sustainable and intelligent transportation. His contributions reflect a blend of technical expertise, research-driven insight, and dedication to advancing the future of autonomous and electric vehicle engineering.

Profile: Google Scholar

Featured Publications

Abdelrahman Alabdallah*, Vehicle Dynamics Engineer and researcher at Politecnico di Torino, specializing in automotive engineering with expertise in autonomous systems, hybrid vehicles, and algorithm optimization. Politecnico di Torino, Accepted.

Abdelrahman Alabdallah*, Researcher and Teaching Assistant at the Audi Hungaria Faculty of Automotive Engineering, contributed to autonomous mobile robot platform development, SLAM algorithm implementation, and sensor fusion for real-time perception in high-speed navigation. Széchenyi István Univ., 2024, 5(2), 101456.

Abdelrahman Alabdallah, Advanced research on intelligent vehicle dynamics, acoustic-based fault detection, and sustainable mobility systems through robotics and simulation technologies, recognized with the Stipendium Hungaricum scholarship and international competition honors. Int. J. Auto. Eng., 2024, 6(1), 112034.