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.

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.

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.

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.

Dr. Qin Ni | High-Efficiency Thermal Management Technology | Rising Star in Research Award

Published on by Electrical Engineering

Dr. Qin Ni | High-Efficiency Thermal Management Technology | Rising Star in Research Award

Post Doctor|Nanjing Tech University | China

Dr. Qin Ni is a Postdoctoral Researcher in Heat and Mass Transfer Enhancement Technology and Equipment at Nanjing Tech University, specializing in Power Engineering and Engineering Thermophysics. She earned her Ph.D. from Nanjing Tech University and completed combined Master’s and Bachelor’s degrees in Structural and Electromagnetic Compatibility Design at Nanjing University of Aeronautics and Astronautics. Prior to academia, she served as Assistant Director of Structural and Thermal Design at Nanjing Panda Handa Technology Co., Ltd., where she gained extensive experience in engineering innovation and leadership. Dr. Ni’s research focuses on enhanced heat transfer mechanisms, gas–liquid separation surface design, and spray cooling technologies for high-power electronic systems. Her groundbreaking work on gas–liquid separation structures and self-driven droplet technologies has advanced the understanding of energy–mass transport and improved cooling efficiency under high heat flux conditions. She has authored multiple SCI-indexed papers in leading journals such as Applied Thermal Engineering and International Journal of Heat and Mass Transfer. Dr. Ni has presided over several national and provincial projects and actively contributes to collaborative research on high-entropy alloy coatings and solar-powered CO₂ conversion systems. Her outstanding achievements have earned her the Outstanding Youth Talent Award, Green Manufacturing Scientific Progress Award (First Prize), and Outstanding Doctoral Dissertation Award. Recognized for her academic excellence and research leadership, Dr. Qin Ni has 71 citations, 11 publications, and an h-index of 5.

Profile: Scopus

Featured Publications

Ni, Qin*, New insights into intermittent spray cooling for high-power electronics applications. Appl. Therm. Eng., 2025, 261, 125148.

Ni, Qin*, Experimental and computational investigation on synergistic enhancement spray cooling using micropillars and capillary-driven wicking hybrid structures. Int. J. Heat Mass Transf., 2023, 217, 124643.

Ni, Qin*, Experimental study on heat transfer performance using a hybrid cooling method combined of a flat-plate heat pipe and spray cooling. Therm. Sci. Eng. Prog., 2023, 46, 102200.

Ni, Qin*, Fabrication of micro-channel for 3D heterogeneous-wettability surfaces by plasma-electrochemical complex energy-field machining. Appl. Surf. Sci., Under Review.

Ni, Qin*, Study on spray cooling heat transfer enhancement mechanisms based on capillary imbibition and evaporation models. Int. Commun. Heat Mass Transf., Under Review.

Mohamed Taieb Krakdia | Smart Grids and Microgrids | Innovative Research Award

Published on by Electrical Engineering

Mr. Mohamed Taieb Krakdia | Smart Grids and Microgrids | Innovative Research Award

Mohamed Taieb Krakdia | Proceeds, Energies, Environment and Electrical Systems (PEESE) | Tunisia

Mr. Mohamed Taieb Krakdia is a Distinguished Senior Professor at the Ministry of Education, Tunisia, specializing in electrical engineering and renewable energy systems. He holds a Master’s degree in Electrical Engineering from Université Elhadj Lakhder, Algeria, and a Professional Master’s in Renewable Energies and Energy Efficiency from ISET Tunisia, and is currently pursuing doctoral research focused on optimizing renewable energy resources in microgrids. His professional career spans over two decades, during which he has served as Senior Professor Emeritus, Principal Teacher, and Senior Secondary School Teacher, contributing extensively to academic instruction, curriculum development, and mentoring of future engineers. His research interests include microgrid optimization, renewable energy integration, and advanced control systems, resulting in notable publications such as studies on sliding-mode and Lyapunov-based control for DC microgrids and hybrid photovoltaic-wind generation systems with fuel cells and battery storage. Mohamed Taieb’s contributions extend beyond teaching and research, including leadership in educational programs, project development, and participation in professional knowledge-sharing platforms. He has been recognized for his academic excellence through professional certifications such as CAPES and has engaged in editorial and peer-review activities, further strengthening the research community. His dedication to innovation, research, and education positions him as a valuable contributor to advancing sustainable energy technologies and academic excellence.

Profile: ORCID

Featured Publications

Krakdia, M.T.*, Sliding-Mode and Lyapunov Function Based Control for a DC Microgrid with Renewable Generation, a Solid Oxide Fuel Cell and Battery Storage. In: Advances in Renewable Energy Systems, Springer, 2024, DOI:10.1007/978-981-97-6148-7_16.

Krakdia, M.T.*, Control for a DC Microgrid for Photovoltaic–Wind Generation with a Solid Oxide Fuel Cell, Battery Storage, Dump Load (Aqua-Electrolyzer) and Three-Phase Four-Leg Inverter (4L4W). Clean Technol., 2025, 7(3), 79

Krakdia, M.T., Optimization of Renewable Energy Resources in a Microgrid (PhD Research Work). ENIG, Tunisia, 2020.

Krakdia, M.T., Renewable Energies and Energy Efficiency: Professional Master’s Thesis, ISET Sidi Bouzid, Tunisia, 2019.

Krakdia, M.T., Electrical Engineering Engineer’s Thesis. Université Elhadj Lakhder Batna, Algeria, 2008.

Kewei Lin | Renewable Energy Systems | Best Researcher Award

Published on by Electrical Engineering

Kewei Lin | Renewable Energy Systems | Best Researcher Award

Assistant Professor | National Kaohsiung University of Science and Technology | Taiwan

Dr. Ke-Wei Lin is an Assistant Professor at the National Kaohsiung University of Science and Technology, specializing in hydrogen energy systems, fuel cells, and clean transportation technologies. He holds a Ph.D. in System and Naval Mechatronic Engineering, as well as M.S. and B.S. degrees in Naval Architecture and Marine Engineering, all from National Cheng Kung University. Dr. Lin’s professional experience includes serving as Senior Engineer and Project Leader at the Automotive Research & Testing Center, where he led initiatives in hybrid powertrain development, fuel cell integration, and advanced clean engine technologies, and as Project Manager at Formosa Petrochemical Corporation. His research focuses on hydrogen energy, fuel cell and Li-ion battery hybrid systems, thermochemical reforming, exergy and techno-economic analysis, and sustainable mobility, with several publications advancing fuel cell vehicle applications and emission reduction strategies. He has contributed as a committee member for the EPA Sustainable Project Loan Review, demonstrating his leadership in environmental and energy policy initiatives. Dr. Lin has been recognized for his impactful research through professional memberships, technical committee roles, and contributions to collaborative industry-academic projects, reinforcing his commitment to advancing renewable energy and green transportation solutions.

Profile: Scopus

Featured Publications

  1. Lin K.W.*, Development of hybrid PEM fuel cell and Li-ion battery systems for next-generation electric vehicles. Int. J. Hydrogen Energy, 2024, Accepted.

  2. Lin K.W.*, Wu H.T., Chen C.Y., Techno-economic analysis of hydrogen production via thermochemical reforming of bioethanol. Energy Convers. Manag., 2023, 297, 117454.

  3. Lin K.W.*, Yang M.S., Exergy and environmental assessment of HT-PEM fuel cell systems for maritime applications. Appl. Energy, 2023, 341, 121052.

  4. Lin K.W.*, Liu P.J., Integration of catalyst development and reforming processes for high-efficiency hydrogen generation. Fuel Process. Technol., 2022, 234, 107339.

  5. Lin K.W.*, Chen S.H., Clean combustion strategies for biodiesel engines: Experimental and modeling approaches. Renew. Energy, 2021, 180, 890–902.