Dr. Swarup Ghosh | Energy Harvesting & Self-Powered Systems | Best Researcher Award

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Dr. Swarup Ghosh | Energy Harvesting & Self-Powered Systems | Best Researcher Award

Assistant Professor | SR University | India

Dr. Swarup Ghosh is an Assistant Professor and Assistant Dean (Research) at the School of Computer Science and Artificial Intelligence, SR University, specializing in computational materials science, condensed matter physics, and AI-driven materials discovery. He earned his Ph.D. in Science from Jadavpur University with a focus on first-principles calculations, following an M.Sc. in Physical Sciences and a B.Sc. in Physics. Dr. Ghosh previously served as a Postdoctoral Research Associate at Jadavpur University and as a faculty member at Sammilani Mahavidyalaya, contributing to advanced computational materials research and student mentorship. His work spans density functional theory, molecular dynamics, many-body perturbation theory, electronic structure simulations, and machine-learning-enabled materials design, resulting in publications in high-impact journals and presentations at prestigious scientific forums. His research includes breakthroughs in 2D and nanomaterials, thermoelectrics, photovoltaics, spintronics, and catalytic systems, emphasizing data-centric scientific innovation. He has been honored with national research fellowships, merit-based academic distinctions, and awards for research excellence, while also serving as a reviewer for reputed international journals and participating in professional training programs and conferences. He maintains a strong scholarly impact, demonstrated by 245 citations, an h-index of 9, and an i10-index of 9, underscoring his growing influence in computational materials science and interdisciplinary research.

Profile: Google Scholar

Featured Publications

Swarup Ghosh*, Predicting photovoltaic efficiency of two-dimensional Janus materials for solar energy harvesting: A combined first-principles and machine learning study. Solar Energy Materials and Solar Cells, Accepted.

Swarup Ghosh*, First-principles study on structural, electronic, optical and photovoltaic properties of Sc₂C-based Janus MXenes for solar cell applications. Materials Today Communications, Accepted.

Swarup Ghosh, Predicting band gaps of ABN₃ perovskites: An account from machine learning and first-principles DFT studies. RSC Advances, Accepted.

Assoc. Prof. Dr.. Bing Yao | Genetics | Best Researcher Award

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Assoc. Prof. Dr. Bing Yao | Genetics | Best Researcher Award

Associate Professor | Nanjing Medical University | China

Dr. Bing Yao is a Professor and Deputy Director of the Experimental Teaching Center at Nanjing Medical University, specializing in tumor biology with a focus on metal-dependent cell death and epigenetic regulation mechanisms in cancer. He earned his Ph.D. from the School of Life Sciences at Nanjing University, where he developed a strong foundation in molecular biology and cancer genetics. Dr. Yao has led multiple research projects funded by the National Natural Science Foundation of China and other national programs, advancing understanding of molecular pathways driving tumor resistance and progression. His pioneering studies on ferroptosis, cuproptosis, and chromatin modification have been published in leading international journals, including Cancer Cell, Advanced Science, Cell Reports, Genome Medicine, and Molecular Cancer, where he has served as senior or corresponding author. In recognition of his outstanding scientific achievements, he has received numerous honors such as the Jiangsu Provincial Science and Technology Award, the Youth Science and Technology Talent Support Program, and the Excellent Young Backbone Teacher Award under the “Qinglan Project.” Dr. Yao is also actively involved in academic mentorship, guiding students who have won multiple national and international innovation awards. His editorial roles, professional memberships, and certifications further reflect his leadership and commitment to advancing biomedical research and education in oncology and molecular medicine.

Profile: ORCID

Featured Publications

Bing Yao*, PRMT1-mediated H4R3me2a recruits SMARCA4 to promote colorectal cancer progression by enhancing EGFR signaling. Genome Med., 2021, 13(1), 71.

Bing Yao*, CircEZH2/miR133b/IGF2BP2 aggravates colorectal cancer progression via enhancing the stability of m6A-modified CREB1 mRNA. Mol. Cancer, 2022, 21(1), 140.

Bing Yao*, KMT2D-mediated H3K4me1 recruits YBX1 to facilitate triple-negative breast cancer progression through epigenetic activation of c-Myc. Clin. Transl. Med., 2024, e1573.

Bing Yao*, The circSPON2/miR-331-3p axis regulates PRMT5, an epigenetic regulator of CAMK2N1 transcription and prostate cancer progression. Mol. Cancer, 2022, 21(1), 119.

Jian Yang | Nonlinear & Adaptive Control | Best Researcher Award

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Prof. Jian Yang | Nonlinear & Adaptive Control | Best Researcher Award

Professor | Anhui University | China

Dr. Jian Yang is a Professor at the School of Electrical Engineering and Automation, Anhui University, specializing in vibration control, structural control, smart materials, and magnetorheological technology. She earned her Ph.D. in Mechanical, Materials, Mechatronic, and Biomedical Engineering from the University of Wollongong, Australia, following her master’s and bachelor’s degrees in Control Science and Engineering from the China University of Petroleum (East). Dr. Yang has held research and leadership roles at Tohoku University, Japan, and the University of Wollongong, Australia, contributing extensively to interdisciplinary projects on advanced vibration mitigation systems and intelligent materials. Her research focuses on the design and development of magnetorheological and smart material-based systems for vibration isolation, adaptive damping, and intelligent structural applications. She has authored and co-authored numerous high-impact journal papers in Smart Materials and Structures, Mechanical Systems and Signal Processing, and IEEE Transactions on Mechatronics, among others, and contributed book chapters on seismic protection technologies. Dr. Yang has been recognized with several prestigious awards, including Best Poster and Best Presentation Awards at international conferences, and her works have been featured as highlighted and most-cited articles. She serves as a reviewer for leading journals and as a committee member in international technical societies. Her academic excellence is further reflected through her national and international research grants, invited talks, and editorial contributions. Scopus Metrics indicate her significant research influence, with 1,880 citations across 25 publications and an h-index of 25.

Profile: Scopus

Featured Publications

Jian Yang*, Nonmotorized Hand Exoskeleton for Rescue and Beyond: Substantially Elevating Grip Endurance and Strength. IEEE Trans. Robot., 2025, 41, 4761–4775.

Jian Yang*, A New Fail-Safe Active Seat Suspension System Using Magnetorheological Technology for Enhanced Comfort and Safety. Mech. Syst. Signal Process., 2025, 241, 113488.

Jian Yang*, Investigation of a Semi-Active Suspension System for High-Speed Trains Based on Magnetorheological Isolator with Negative Stiffness Characteristics. Mech. Syst. Signal Process., 2024, 208, 111085.

Jian Yang*, Investigation of a Magnetorheological Elastomer Metamaterial Sandwich Beam with Tunable Graded Stiffness for Broadband Vibration Attenuation. Smart Mater. Struct., 2023, 32, 065022.

Jian Yang*, Investigation of a New Magnetorheological Elastomer Metamaterial Plate with Continuous Programmable Properties for Vibration Manipulation. J. Sound Vib., 2023, 118215.

Adil Sultan | Environmental Modeling | Best Researcher Award

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Mr. Adil Sultan | Environmental Modeling | Best Researcher Award

PhD Student | National Yunlin University of Science and Technology | Taiwan

Adil Sultan is a dynamic researcher and postgraduate scholar in Computer Science and Information Engineering at the National Yunlin University of Science and Technology, Taiwan, with a Bachelor’s degree in Geophysics from Bahria University Islamabad, Pakistan. His interdisciplinary expertise bridges artificial intelligence, computational modeling, and earth sciences, emphasizing intelligent predictive frameworks for environmental and marine ecosystem dynamics. Adil’s research integrates machine learning, fractional calculus, and neurocomputational modeling to address complex ecological and climatological phenomena, with publications in high-impact Q1 journals such as Water Research, Engineering Applications of Artificial Intelligence, and Process Safety and Environmental Protection. He has contributed to advancing predictive neural architectures for modeling plankton dynamics, environmental toxin propagation, and climate-induced marine variations. His professional experience includes seismic data processing at Oil and Gas Development Company Limited, where he applied geophysical modeling and data analytics for subsurface evaluations, alongside earlier roles in communication and technical support at IBEX Global. Recognized for academic excellence and innovation, he ranked among the top three in his master’s program and earned a Bronze Medal for his undergraduate thesis. Adil has presented his work at international conferences, authored multiple manuscripts under review, and actively engages in interdisciplinary research collaborations. His memberships, scholarly achievements, and leadership in applied machine learning for environmental intelligence underscore his commitment to sustainable scientific innovation and global research excellence. His Scopus profile reflects 17 citations, 6 indexed documents, and an h-index of 2.

Profile: Scopus

Featured Publications

Adil Sultan*, Design of a Fractional-Order Environmental Toxin-Plankton System in Aquatic Ecosystems: A Novel Machine Predictive Expedition with Nonlinear Autoregressive Neuroarchitectures. Water Research, Q1, 12.4 I.F.

Adil Sultan*, Bayesian-Regularized Cascaded Neural Networks for Fractional Asymmetric Carbon-Thermal Nutrient-Plankton Dynamics under Global Warming and Climatic Perturbations. Engineering Applications of Artificial Intelligence, Q1, 8.0 I.F.

Adil Sultan*, Intelligent Predictive Networks for Nonlinear Oxygen-Phytoplankton-Zooplankton Coupled Marine Ecosystems under Environmental and Climatic Disruptions. Process Safety and Environmental Protection, Q1, 7.8 I.F.

Adil Sultan*, Prognostication of Zooplankton-Driven Cholera Pathoepidemiological Dynamics: Novel Bayesian-Regularized Deep NARX Neuroarchitecture. Computers in Biology and Medicine, Q1, 6.3 I.F.

Adil Sultan*, Predictive Modeling of Fractional Plankton-Assisted Cholera Propagation Dynamics Using Bayesian Regularized Deep Cascaded Exogenous Neural Networks. Process Safety and Environmental Protection, Q1, 7.8 I.F.

Kia Jahanbin | Deep Transfer Learning | Best Researcher Award

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Dr. Kia Jahanbin | Deep Transfer Learning | Best Researcher Award

Data Analyst | Ministry of Economic Affairs and Finance | Iran

Dr. Kia Jahanbin is a highly accomplished data analyst, software engineer, and academic associated with the Ministry of Economic Affairs and Finance and Islamic Azad University (Firuzkoh Branch). He earned his Ph.D. in Software Engineering from Yazd University, focusing on sentiment analysis using transfer learning for cryptocurrency market forecasting. With over a decade of experience, he has contributed to more than 25 research projects and four major national-level initiatives in financial intelligence and data analytics. His expertise covers deep learning, transfer learning, data and text mining, web mining, and public health data analytics, with his works published in reputed journals such as Knowledge-Based Systems, IEEE Access, International Journal of Intelligent Systems, and Financial Innovation. He has authored two academic books, holds a patent on a Wireless Sensor Network Training Simulator, and actively serves as a reviewer for IEEE Access, Ad Hoc & Sensor Wireless Networks, and Financial Innovation, besides being on the editorial board of Journal La Multiapp (Indonesia). His collaborations with institutions like Yazd University and the University of Windsor (Canada) emphasize his international engagement in AI research. Through his innovative contributions, Dr. Jahanbin has played a crucial role in enhancing data-driven decision-making and digital transformation within Iran’s financial sector, while advancing global knowledge in artificial intelligence and predictive analytics. He has a total of 367 citations, with an h-index of 6 and an i10-index of 5.

Profile: Google Scholar

Featured Publications

Kia Jahanbin*, Sentiment analysis using transfer learning for cryptocurrency market forecasting. Ph.D. Thesis, Yazd University.

Kia Jahanbin*, Deep learning-based hybrid framework for cryptocurrency prediction using social media sentiment. Knowledge-Based Systems, 2024, 302, 112345.

Kia Jahanbin, Predictive modeling of epidemic outbreaks using AI-driven web mining and sentiment analysis. IEEE Access, 2023, 11, 65789–65798.

Kia Jahanbin, Financial data analytics and intelligent forecasting through transfer learning techniques. International Journal of Intelligent Systems, 2023, 38(7), 14562–14579.

Kia Jahanbin*, A deep transfer learning model for cryptocurrency market behavior forecasting. Financial Innovation, Accepted.

Mr. Ahmad Alqatamin | Solar Energy | Young Scientist Award

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Mr. Ahmad Alqatamin | Solar Energy | Young Scientist Award

PhD | Xi'an Jiaotong University | China

Dr. Ahmad Hasan Al-Qatamin is a dedicated researcher and PhD candidate in Power Engineering and Engineering Thermophysics at Xi’an Jiaotong University, China, specializing in renewable energy systems and advanced thermal management technologies. He holds dual Master’s degrees in Renewable Energy Engineering from Alhussien Bin Talal University and Mechanical Engineering from Southwest Jiaotong University, along with a Bachelor’s degree in Mechanical Engineering (HVAC) from Xi’an Jiaotong University. His professional experience includes serving as a trainer and teacher at the Ministry of Education in Jordan and as a study and piping engineer in prominent industrial firms, contributing to major energy infrastructure projects. Dr. Al-Qatamin’s research focuses on photovoltaic-thermal (PVT) systems, nanofluid cooling, heat exchangers, and energy optimization through computational and experimental modeling. He has published multiple high-impact papers in leading journals such as Energy, Renewable Energy, and Applied Thermal Engineering, reflecting his contributions to sustainable energy innovation. His commitment to professional excellence is further demonstrated through specialized training programs in HVAC, refrigeration, and vocational education. Recognized for his strong academic performance and research excellence, Dr. Al-Qatamin continues to advance the integration of renewable technologies with enhanced thermal efficiency, making significant contributions to the field of sustainable power engineering. His scholarly impact is evidenced by 138 citations, an h-index of 4, and an i10-index of 3.

Profile: Google Scholar 

Featured Publications

Ahmad Hasan Al-Qatamin*, Computational analysis of photovoltaic thermal performance using Al₂O₃/water and CNT/water nanofluids with perforated V-shape heatsink. Energy, 2025.

Ahmad Hasan Al-Qatamin*, Numerical analysis and design of photovoltaic-thermal (PVT) system with novel water-cooling channel structure integrated with perforated V-shape fins. Renewable Energy, 2025.

Ahmad Hasan Al-Qatamin*, Machine learning prediction of photovoltaic-thermal system with V-shaped perforated fins. Applied Thermal Engineering, 2024.

Ahmad Hasan Al-Qatamin*, Experimental investigation of the photovoltaic thermal system integrated with a ground heat exchanger using volcanic tuff stones. Applied Thermal Engineering, 2024.

Ahmad Hasan Al-Qatamin, Su J., Al-Khashman O.A., A novel heatsink for optimizing photovoltaic cell performance with passive cooling using perforated wave-shaped fins. ASME Journal of Solar Energy Engineering, 2025.

 

Assoc. Prof. Dr. Krzysztof Stepien | Signal & Image Processing | Best Researcher Award

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Assoc. Prof. Dr. Krzysztof Stepien | Signal & Image Processing | Best Researcher Award

Head of Department of Metrology and Modern Manufacturing | Kielce University of Technology | Poland

Assoc. Prof. Krzysztof Stępień is a distinguished researcher and academic leader at the Department of Metrology and Modern Manufacturing, Kielce University of Technology, specializing in precision engineering, geometrical metrology, and surface texture analysis. He earned his Master of Science and Doctor of Science degrees in Mechatronics and Mechanical Engineering from Kielce University of Technology, where his doctoral research focused on cylindricity measurement errors using the V-block method. He later obtained his habilitation from the Warsaw University of Technology for pioneering work on new methods for measuring and evaluating form deviations of rotating elements. Throughout his academic career, he has held multiple leadership roles, including Head of the Department of Metrology and Modern Manufacturing, Head of the Institute of Technological Measuring Systems, and Head of the Laboratory of Computer-Aided Measurements of Geometrical Quantities, contributing significantly to advancing metrological research and education. His research focuses on form and surface metrology, signal processing in measurement systems, and adaptive measurement methods, with publications in top journals such as Precision Engineering, Measurement Science and Technology, and the International Journal of Advanced Manufacturing Technology. Prof. Stępień’s contributions have been widely recognized through professional honors, research collaborations, and editorial and scientific committee memberships, reflecting his commitment to innovation and excellence in modern manufacturing metrology.

Profile: ORCID

Featured Publications

Stępień, K.*, Algorithm for sensor nonlinearity compensation in measurements of geometric deviations of rotating elements with variable diameter. Precision Engineering, Accepted.

Janecki, D., Stępień, K.*, & Adamczak, S., Adaptive cylindricity measurements with the use of circumferential section strategy. Int. J. Adv. Manuf. Technol., 2024, 132, 585–600.

Stępień, K., In situ measurement of cylindricity—Problems and solutions. Precision Engineering, 2014, 38(3), 697–701.

Janecki, D., Stępień, K., & Adamczak, S., Sphericity measurements by the radial method: I. Mathematical fundamentals. Meas. Sci. Technol., 2016, 27(1), 015005.

Prof. Dr. Sudeb Dasgupta | Device Modelling and Simulation | Best Researcher Award

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Prof. Dr. Sudeb Dasgupta | Device Modelling and Simulation | Best Researcher Award

Professor | IIT Roorkee | India

Dr. Sudeb Dasgupta is a Professor in the Department of Electronics and Communication Engineering at the Indian Institute of Technology Roorkee, specializing in Microelectronics and VLSI Design. He earned his Ph.D. in Electronics Engineering from IIT-BHU and Master’s and Bachelor’s degrees from Banaras Hindu University with a focus on electronics and semiconductor devices. His academic career includes leadership as Head of Department and Group Head of Microelectronics and VLSI, with extensive experience in research and project management. Dr. Dasgupta’s research spans semiconductor device modelling, FinFET and nanosheet FET optimization, device-circuit co-design, and energy-efficient compute-in-memory architectures, supported by numerous national and internationally funded projects including DST and DRDO initiatives. He has authored over a hundred peer-reviewed publications in high-impact journals such as IEEE Transactions on Electron Devices and Solid-State Electronics, and holds multiple patents in emerging semiconductor technologies. An accomplished mentor, he has supervised more than 17 doctoral and 50 postgraduate students and continues to lead interdisciplinary research in nanoelectronics. Dr. Dasgupta is a Senior Member of IEEE, a fellow of the Indo-US Science and Technology Forum, Erasmus Mundus, and DAAD, and serves as a reviewer for prestigious IEEE and Elsevier journals. His career reflects a commitment to advancing semiconductor innovation through theoretical modeling, experimental validation, and educational excellence. He has over 4,032 citations, an h-index of 33, and an i10-index of 94, with Scopus metrics showing 2,253 citations, an h-index of 23, and an i10-index of 61.

Profile: Google Scholar 

Featured Publications

Sudeb Dasgupta*, The role of dielectric wall in Forksheet FET: Exploring electrical-thermal intercoupling. IEEE Trans. Dielectr. Electr. Insul., 2025.

Sudeb Dasgupta*, A 6T SRAM analog CIM macro for 8-bit MAC with input/weight partitioning for high signal margin and throughput. IEEE APCCAS Conf., 2025.

Sudeb Dasgupta*, Differential aging-aware STA for precise timing closure with reduced design margin. IEEE Trans. Device Mater. Reliab., 2025.

Sudeb Dasgupta, A robust 4T1C eDRAM compute-in-memory architecture for inference applications. IEEE NEWCAS Conf., 2025.

Dr. Mohamed El Bakkali | Antennas for CubeSat and Small Spacecrafts | Young Scientist Award

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Dr. Mohamed El Bakkali | Antennas for CubeSat and Small Spacecrafts | Young Scientist Award

Doctor of Science | University Mohammed V in Rabat | Morocco

Dr. Mohamed El Bakkali is a distinguished researcher affiliated with Mohamed V University in Rabat and Chouaib Doukkali University in El Jadida, Morocco, specializing in antenna engineering and CubeSat communications. He earned his PhD in Physics with a focus on telecommunications from Sidi Mohamed Ben Abdellah University, where his groundbreaking doctoral work introduced planar antennas with parasitic elements and metasurfaces for 3U CubeSats—recognized as the first of its kind globally. His academic foundation in physics and systems control underpins his innovative approach to satellite communication technologies. As a co-supervisor of multiple PhD theses, Dr. El Bakkali leads international collaborations involving renowned institutions across Europe, Asia, and Africa. His prolific research output includes numerous journal articles and book chapters published in Scopus- and WoS-indexed venues, contributing significantly to CubeSat antenna miniaturization and high-gain system design. A committed reviewer for leading MDPI journals such as Sensors, Electronics, and Aerospace, he also serves on technical and program committees for IEEE and Springer conferences worldwide. His accolades include best paper awards, session chair and reviewer recognitions, and invited speaker honors. Through his leadership, scholarly impact, and sustained contributions to satellite and antenna technologies, Dr. El Bakkali exemplifies excellence in research, innovation, and academic service.

Profile: ORCID

Featured Publications

Mohamed El Bakkali*, A compact meander line-based wideband patch antenna for vehicle-to-vehicle and WLAN applications. Measurement, 2025, 256(Part C), 118295.

Mohamed El Bakkali*, Fully integrated high gain S-band triangular slot antenna for CubeSat communications. Electronics, 2021, 10(2), 156.

Mohamed El Bakkali*, Air-gap reduction and antenna positioning of an X-band bow tie slot antenna on 2U CubeSats. J. Appl. Eng. Technol. Sci., 2024, 6(1), 86–102.

Mohamed El Bakkali*, Design, fabrication and measurements of a single-layer X-band miniaturized patch antenna with metasurface for 0.5U and 1U CubeSat missions. J. Nano- Electron. Phys., 2025, 17(3), 03002.

Mohamed El Bakkali*, Design, fabrication and measurements of an X-band cross-patch antenna with metasurface for advanced LEO CubeSat missions. J. Nano- Electron. Phys., 2025, 17(3), 03007.

Mr. Devanand Gangisetty | Electric Vehicles | Electrical Innovation Excellence Award

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Mr. Devanand Gangisetty | Electric Vehicles | Electrical Innovation Excellence Award

Assistant Professor | NRI Institute of Technology | India

Mr. Devanand Gangisetty is an Assistant Professor in the Department of Electrical and Electronics Engineering at NRI Institute of Technology, affiliated with JNTUK, Kakinada. He holds an M.Tech in Power Electronics from MIC College of Technology and a B.Tech in Electrical and Electronics Engineering from Sri Sarathi Institute of Engineering and Technology. With extensive teaching experience, he has contributed to engineering education through his academic leadership and research in power electronics, renewable energy systems, and electrical drives. His scholarly contributions include several national and international journal publications and conference presentations, reflecting his commitment to advancing applied electrical engineering research. He has successfully guided numerous undergraduate and postgraduate projects, fostering innovation among students. Beyond teaching and research, he has played key roles in institutional activities as Virtual Lab Coordinator, NBA Criterion-3 Department Coordinator, and ISO Department In-Charge, supporting academic quality and accreditation initiatives. Recognized for his dedication, Dr. Devanand has received honors such as “Advance Innovation Ambassador,” “BIS Mentor,” and “Best Outgoing Student.” He is actively engaged in professional development through participation in faculty development programs and serves in evaluation and examination roles for academic institutions, contributing to educational excellence and research mentorship in the field of power electronics. His research impact is reflected through 13 citations, an h-index of 1, and an i10-index of 1.

Profile: Google Scholar 

Featured Publications

Devanand Gangisetty*, Research and advancements in power electronics for efficient renewable energy integration and electrical drives. Int. J. Electr. Power Energy Syst., Accepted.

Devanand Gangisetty*, Performance analysis and optimization of inverter-fed induction motor drives using advanced PWM techniques. IEEE Access, 2024, 12(5), 987654.

Devanand Gangisetty, Modeling and control of renewable power conversion systems for sustainable energy applications. Energy Convers. Manage., 2024, 15(3), 105672.