Assoc. Prof. Dr. Saidjon Tavarov | Demand Side Management & Energy Efficiency | Editorial Board Member

Published on by Electrical Engineering

Assoc. Prof. Dr. Saidjon Tavarov | Demand Side Management & Energy Efficiency | Editorial Board Member

Associate Professor | South Ural State University (national research university) | Russia

Dr. Saidjon Shiralievich Tavarov, a researcher and faculty member at South Ural State University specializing in power and energy systems, is an expert in electrical load forecasting, distribution network optimization, and energy efficiency. He holds advanced degrees in power engineering with a focus on electrical systems analysis and has previously served at Tajik Technical University, where he contributed to academic instruction, research leadership, and applied energy projects. His professional experience spans modeling urban electrical networks, developing algorithms for consumption management, and improving operational modes of distribution grids, along with leading studies on household energy behavior, uncertainty-based forecasting, and smart-meter-driven control methods. Dr. Tavarov has authored numerous publications in international journals and conferences, covering semiconductor converter modeling, pulse converter efficiency, fuzzy-logic-based forecasting, reliability assessment, and urban grid performance enhancement. His research has supported practical improvements in energy planning, grid stability, and consumption optimization in regions with complex climatic and infrastructural conditions. He has been recognized for his scholarly contributions through active editorial and peer-review roles for leading journals, including Energies, Sustainability, Algorithms, Electric Power Components and Systems, and the World Electric Vehicle Journal. His professional standing is further supported by memberships in academic communities and ongoing contributions to international research collaborations, reflecting his commitment to advancing modern electrical engineering and sustainable energy development.

Profile: Scopus

Featured Publications

Saidjon Shiralievich Tavarov*, Forecasting average daily and peak electrical load based on monthly consumption data. Electricity, Accepted.

Saidjon Shiralievich Tavarov*, Model of semiconductor converters for simulating asymmetric loads in autonomous power systems. Int. J. Electr. Comput. Eng., Accepted.

Saidjon Shiralievich Tavarov*, Improving energy indicators of pulse converters. Indones. J. Electr. Eng. Comput. Sci., Accepted.

Assoc. Prof. Dr. Ehsan Akbari | Power Electronics Converters | Best Researcher Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Ehsan Akbari | Power Electronics Converters | Best Researcher Award

Associate Professor | Mazandaran University of Science and Technology | Iran

Dr. Ehsan Akbari is an Associate Professor in the Department of Electrical Engineering at the Mazandaran University of Science and Technology, renowned for his expertise in electrical power engineering, power electronics, and modern energy systems. He holds comprehensive academic qualifications spanning bachelor’s, master’s, and doctoral degrees in Electrical Power Engineering with focused specialization in power quality enhancement, converter control, smart grids, and renewable energy integration. His professional career includes extensive teaching, research leadership, and contributions to major projects involving flexible AC transmission systems, multilevel converters, grid-connected converter control, micro-grid stability, reactive power management, and harmonics mitigation using advanced hybrid filtering techniques. A highly productive scholar, he has authored numerous books along with hundreds of peer-reviewed publications and has secured multiple patents that reflect his commitment to advancing power system reliability and intelligent energy technologies. His academic service includes organizing and contributing to program committees of various scientific conferences, mentoring emerging researchers, and participating in collaborative initiatives that translate theoretical advancements into practical engineering solutions. Dr. Akbari has earned several scientific and technological achievement awards, complemented by professional memberships, editorial engagements, and recognized contributions to the global power engineering community. Citations 1,206 by 962 documents, 58 documents, h-index 20.

Profile: Scopus

Featured Publications

Akbari, E.*, Stationary-frame power regulation for controlling grid-connected three-phase modular multilevel converter with low harmonic under unbalanced voltage. Scientific Reports, 2025.

Akbari, E.*, Flexibility regulation-based economic energy scheduling in multi-microgrids with renewable/non-renewable resource and stationary storage systems considering sustainable computing by hybrid metaheuristic algorithm. Sustainable Computing: Informatics and Systems, 2025.

Akbari, E.*, Capabilities of battery and compressed air storage in the economic energy scheduling and flexibility regulation of multi-microgrids including non-renewable/renewable units. Scientific Reports, 2025.

Akbari, E.*, An optimized ANFIS framework for online voltage stability margin estimation in power systems using the novel Solifugae-inspired optimization algorithm and partial least squares-based dimensionality reduction. Measurement, 2025.

 

Mr. Xiangqi Dong | Nanoelectronics & Nanomaterials | Best Researcher Award

Published on by Electrical Engineering

Mr. Xiangqi Dong | Nanoelectronics & Nanomaterials | Best Researcher Award

PhD Candidate | Fudan University | China

Xiangqi Dong is a researcher in microelectronics at the School of Microelectronics and the National Key Laboratory of Integrated Chips and Systems at Fudan University, specializing in two-dimensional semiconductors, integrated circuit fabrication, and device–circuit co-optimization. He is pursuing a direct doctoral degree and holds an undergraduate background in Microelectronics Science and Engineering from Northwestern Polytechnical University, with focused academic training in microelectronics and solid-state electronics. His professional experience includes optimizing wafer-scale 2D transistor processes, supervising laboratory tape-out workflows, establishing quality-control procedures, integrating advanced fabrication tools, and leading a research team working on analog circuits and DTCO-driven circuit innovation. His research contributions encompass high-performance 2D gate-stack engineering, sensing-memory-computing fusion devices, neuromorphic electronics, RF systems, and next-generation computing architectures, resulting in significant publications in leading journals, invited conference talks, and contributions to landmark achievements such as 2D microprocessors, high-linearity flash ADCs, and wafer-scale integrated RF transmitters. He has co-filed patents on transistor structures and semiconductor process optimization, and actively participates in academic outreach to promote integrated circuit education. His recognitions include multiple merit-based scholarships and academic excellence awards, reflecting strong research capability and leadership. Citations 92 by 88 documents, 17 documents, h-index 5.

Profile: Scopus

Featured Publications

Xiangqi Dong, Radiation resistant atomic layer scale radio frequency system for spaceborne communication. Nature, Under review.

Xiangqi Dong, A RISC-V 32-bit microprocessor based on two-dimensional semiconductors. Nature, Published.

Xiangqi Dong, High-linearity flash ADC achieved through design-technology co-optimization based on two-dimensional semiconductors. Science Bulletin, Online.

Xiangqi Dong, A bio-inspired neuron with intrinsic plasticity based on monolayer molybdenum disulfide. Nature Electronics, Published.

Prof. Runwei Mo | Energy Storage Systems (ESS) and Batteries | Editorial Board Member

Published on by Electrical Engineering

Prof. Runwei Mo | Energy Storage Systems (ESS) and Batteries | Editorial Board Member

Professor | East China University of Science and Technology | China

Professor Runwei Mo, a distinguished faculty member at East China University of Science and Technology, is an expert in advanced energy materials and intelligent manufacturing whose work spans innovative energy-storage systems, carbon-based material design, and next-generation battery technologies. He holds a PhD with specialization in energy materials engineering and has built a dynamic professional trajectory through academic, research, and collaborative roles across leading global institutions, contributing to major interdisciplinary projects in materials innovation, nanotechnology, and high-performance electrochemical systems. His research contributions encompass the development of novel electrode architectures, advanced graphene-based materials, CO₂ conversion strategies, flexible and high-energy battery systems, and breakthrough approaches to lithium-ion and sodium-ion storage, supported by an extensive publication record that includes high-impact journal papers, book chapters, and multiple authorized patents. He has led and contributed to significant national and international research initiatives, advancing scientific outcomes that have achieved practical application and received broad academic recognition. His professional standing is further reflected in his service as guest editor and editorial board member for several reputable journals, as well as active participation in scholarly communities focused on materials science and energy technologies. His achievements have earned him numerous honors, including multiple fellowships from respected scientific and professional societies, prestigious innovation and scientific contribution awards, and recognition for leadership in energy and environmental research. Through sustained excellence in research, mentorship, and scientific service, Professor Mo continues to advance the global progress of energy materials and sustainable technological development.

Profile: Scopus

Featured Publications

Runwei Mo*, A microstructure-enhanced dual-mode LC sensor with a PSO-BP algorithm for precise detection of temperature and pressure. Adv. Funct. Mater., Accepted.

Runwei Mo*, Autonomous self-healing strategy for flexible fiber lithium-ion batteries with ultra-high mechanical properties and volumetric energy densities. Chem. Eng. J., 154153.

Runwei Mo*, Structure engineering and heteroatom doping-enabled high-energy and fast-charging dual-ion batteries. Chem. Eng. J., 490, 151537.

Runwei Mo*, Covalently bonded MXene@Antimonene heterostructure anode for fast lithium-ion storage. Chem. Eng. J., 485, 149837.

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

Published on by Electrical Engineering

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.