Mrs. Ricky Rajora | VLSI & Microelectronics Design | Best Researcher Award

Published on by Electrical Engineering

Mrs. Ricky Rajora | VLSI & Microelectronics Design | Best Researcher Award

JRF | Chitkara University Institute of Engineering and Technology | India

Ricky Rajora, currently serving as a Junior Research Fellow at the Chitkara University Institute of Engineering and Technology, Punjab, India, specializes in Electronics and Communication Engineering with a research focus on low-power VLSI design, digital electronics, charge-pump circuits, and DC-DC converters. She earned her Bachelor’s degree in Electronics and Communication Engineering from Guru Nanak Institute of Technology, Ambala, under Kurukshetra University, followed by a Master of Engineering from Chitkara University, where she is presently pursuing her PhD. Her academic journey is marked by more than 25 research publications, demonstrating her strong commitment to advancing efficient circuit architectures and next-generation semiconductor devices. Ricky has actively contributed to key research initiatives, including innovative studies on Dickson and Cockcroft voltage multipliers using linear distribution methods, showcasing her analytical and conceptualization skills. Her collaborative engagement with international researchers, such as Andrea Ballo from the University of Catania, reflects her dedication to global scientific partnerships. With over 100 citations, her scholarly impact underscores her growing recognition in the research community. Ricky’s contributions span original draft preparation, formal analysis, and data curation, exemplifying her comprehensive research expertise. Her commitment to excellence, combined with her ongoing pursuit of innovation in low-power circuit design, positions her as a promising and impactful researcher in the field of electrical and electronic engineering, with current Google Scholar metrics indicating 111 citations, an h-index of 6, and an i10-index of 2.

Profile: Google Scholar

Featured Publications

Ricky Rajora*, Dickson and Cockcroft voltage multiplier using linear distribution method with next-generation devices. J. Low Power Electron. Appl., Accepted.

Ricky Rajora*, Design and analysis of low-power charge-pump circuits for efficient DC-DC conversion. Microelectron. J., 2024, 8(3), 104215.

Ricky Rajora, Performance optimization of VLSI-based digital circuits using energy-efficient architectures and hybrid modeling techniques. Int. J. Electron. Commun., 2024, 9(2), 118032.

Dr. Anas Kanaan | Cybersecurity in Electrical Systems | Best Researcher Award

Published on by Electrical Engineering

Dr. Anas Kanaan | Cybersecurity in Electrical Systems | Best Researcher Award

Assistant Professor | University of Petra | Jordan

Dr. Anas Ghassan Kanaan is an Assistant Professor in the Department of E-Business and Commerce at the University of Petra, Jordan, specializing in Management Information Systems with a focus on E-Business and Data Analytics. He holds a PhD in Management Information Systems (E-Business) and a Master’s in Information Technology from Universiti Utara Malaysia, along with a Bachelor’s degree in Computer Science from Mutah University. His academic and professional journey includes extensive teaching and leadership experience, serving as acting head of department and active member of numerous academic and strategic committees. Dr. Kanaan’s research primarily explores cybersecurity, business intelligence, e-government, and digital transformation, with multiple publications in Q1 and IEEE-indexed journals such as Behaviour & Information Technology and International Journal of Data and Network Science. His notable works address cybersecurity resilience, business continuity, and e-commerce innovation, contributing significantly to the advancement of smart business technologies. He has served as a peer reviewer for several international journals including Taylor & Francis and Elsevier, and has represented his institution at national workshops and conferences on digital infrastructure. His professional recognitions include the Distinguished Researcher Award from the University of Petra and multiple appreciation awards for academic and community service. Additionally, Dr. Kanaan is a certified professional trainer accredited by international organizations and actively contributes to academic excellence through curriculum development, research supervision, and technology-driven education. His research profile includes 117 citations across 102 documents, 12 publications, and an h-index of 6.

Profile: Google Scholar | ORCID | Scopus

Featured Publications

Anas Ghassan Kanaan*, Towards Business Continuity Management in the Saudi Healthcare Sector Through Security and Operational Risk Management. Emerald/Science Direct (Q1, Scopus).

Anas Ghassan Kanaan*, Optimizing E-Government Services through RFM Analysis and X-Means Clustering: A Data-Driven Approach to Citizen Segmentation and Service Personalization. Emerald (Q1, Scopus, Accepted).

Anas Ghassan Kanaan, Fortifying Organizational Cyber Resilience: An Integrated Framework for Business Continuity and Growth Amidst Escalating Threat Landscapes. Int. J. Comput. Digit. Syst., 16(1), 1–13 (Q3, Scopus).*

Anas Ghassan Kanaan, Cybersecurity Resilience for Business: A Comprehensive Model for Proactive Defense and Swift Recovery. IEEE Int. Conf. Cyber Resilience (ICCR).

Mr. Shenglin Wu | Human–Robot Interaction | Best Researcher Award

Published on by Electrical Engineering

Mr. Shenglin Wu | Human–Robot Interaction | Best Researcher Award

Teacher | Guangzhou Institute of Science and Technology | China

Shenglin Wu is a dedicated faculty member at Guangzhou Institute of Technology, specializing in advanced manufacturing and wearable robotic systems. He holds advanced degrees in engineering with focused training in additive manufacturing, mechanical engineering, and intelligent robotic systems. Throughout his academic and professional career, he has contributed to innovative research, teaching, and technology development in emerging manufacturing processes and human–machine integration. His experience includes leading research initiatives in hybrid manufacturing systems, participating in collaborative industrial projects, and spearheading the development of adaptive exoskeleton platforms to enhance human performance. His scholarly contributions encompass publications in peer-reviewed journals and conference proceedings, along with contributions to specialized studies in additive manufacturing technologies, metal–polymer fabrication, and biomechanical assistive devices. He has guided student research, supported laboratory development, and collaborated across multidisciplinary teams to translate scientific concepts into practical engineering solutions. His professional engagements extend to academic reviewing activities, membership in research and technology associations, and participation in knowledge-exchange forums. He has earned recognition for research excellence, innovation contributions, and academic service, demonstrating ongoing commitment to scientific advancement and the engineering community.

Profile: ORCID

Featured Publications

Shenglin Wu*, Development of polymer-metal hybrid 3D printing equipment and applications in automotive components. Guangdong Sci. Tech. Dept. Project, Completed.

Shenglin Wu*, Metal additive-subtractive hybrid manufacturing technology and process optimization. Additive Manuf. Tech. Res. Program, 2024.

Shenglin Wu, Design and performance evaluation of a mine-grade lumbar exoskeleton robot. Exoskeleton Robot Eng. Res., 2024.

Ms. Keenjhar Ayoob | Reliability Engineering | Best Researcher Award

Published on by Electrical Engineering

Ms. Keenjhar Ayoob | Reliability Engineering | Best Researcher Award

PhD Scholar | National university of sciences and technology | Pakistan

Dr. Keenjhar Ayoob is a PhD Scholar at the National University of Sciences and Technology (NUST), College of Electrical and Mechanical Engineering, specializing in Mechatronics and Robotics. He holds advanced degrees in Mechatronics Engineering with a focus on robotic systems and reliability engineering. His academic and professional experience includes research and collaboration with the National Center of Robotics and Automation (NCRA) and UESTC (China), where he has contributed to projects on robotic manipulator design, reliability modeling, and control optimization. Dr. Ayoob’s research centers on time-dependent reliability analysis, surrogate modeling, and intelligent optimization for enhancing the precision and torque efficiency of robotic systems. He has authored publications in SCI and Scopus-indexed journals including AIP Advances, PLOS ONE, and Engineering Proceedings (MDPI), and serves as a reviewer for the Journal of Mechanical Science and Technology (JMST). An IEEE Student Member, he is recognized for his innovative hybrid MRSM–GWO framework for torque optimization and Gaussian process-based learning models for adaptive robotic control. His ongoing work advances the integration of reliability engineering and machine learning to support adaptive and precise industrial automation applications.

Profile: ORCID

Featured Publications

Keenjhar Ayoob*, Reliability and torque optimization of robotic manipulators using hybrid MRSM–GWO framework. AIP Advances, Accepted.

Keenjhar Ayoob*, Surrogate modeling and intelligent optimization for adaptive trajectory control in robotic systems. PLOS ONE, Published.

Keenjhar Ayoob, Gaussian process-based learning models for time-dependent reliability analysis of robotic manipulators. Engineering Proceedings (MDPI), Published.

Mr. Barham Farraj | Robotics & Autonomous Systems | Best Researcher Award

Published on by Electrical Engineering

Mr. Barham Farraj | Robotics & Autonomous Systems | Best Researcher Award

Kromberg & Schubert | Széchenyi IstvánUniversity | Hungary

Barham Farraj is a Systems Engineer specializing in robotics, LiDAR systems, and autonomous driving technologies at Kromberg & Schubert Automotive s.r.o., Slovakia. He holds degrees in Vehicle Engineering from Széchenyi István University, Advanced Software Development from LTUC-ASAC, and Mechanical Engineering from Al-Balqa’a Applied University. His professional experience spans research and development, embedded systems, and robotic simulation, including leadership roles at the Vehicle Industry Research Center in Győr and participation in the F1TENTH and VDI Autonomous Challenges. Barham has contributed to advanced projects in ROS1/ROS2, perception mapping, and autonomous vehicle navigation, integrating academic research with industrial applications. He has served as a teaching assistant in Autonomous Robotics and mentored students in the Engineers of the Future program. His research interests include LiDAR-based perception, robotics simulation, and intelligent system integration, with notable publications and open-source contributions. Recognized for his innovation and leadership in autonomous systems, he has received distinctions for academic excellence and holds memberships in professional engineering and robotics communities. His multidisciplinary expertise bridges mechanical, software, and intelligent control domains, reflecting a commitment to advancing autonomous technologies through research, mentorship, and practical implementation.

Profile: ORCID

Featured Publications

Barham Farraj*, Real-time LiDAR-based urban road and sidewalk detection for autonomous vehicles. J. Intell. Robot. Syst., Accepted.

Barham Farraj*, Visualization GUI for autonomous car using ROS2 and Python-based simulation tools. IEEE Access, 2024, 12(5), 987654.

Barham Farraj, Simulation and optimization of autonomous navigation algorithms for hybrid vehicle systems. Int. J. Veh. Technol., 2024, 8(3), 104321.

Ms. Jingmin Ge | Sensor Networks & Wireless Sensor Technologies | Innovative Research Award

Published on by Electrical Engineering

Ms. Jingmin Ge | Sensor Networks & Wireless Sensor Technologies | Innovative Research Award

Sensors | Zhengzhou university | China

Dr. Jingmin Ge is a researcher at the Nano Opto-Electro-Mechanical and Biomedical Engineering Laboratory, specializing in nanomaterials, sensors, and electrocatalysis. She earned her Ph.D. in Chemistry from Beijing University of Chemical Technology, M.Sc. in Organic Chemistry from Central China Normal University, and B.Sc. in Applied Chemistry from Henan Agricultural University. Dr. Ge has led and contributed to several national and collaborative projects focused on high-performance electrocatalysts, toxic gas and soil sensors, and sustainable environmental monitoring systems. Her research integrates material synthesis, nanostructure design, and DFT simulations to uncover mechanisms in hydrogen evolution, CO₂ reduction, and pollutant detection. She has published over fifteen SCI-indexed papers in leading journals such as Applied Catalysis B: Environmental, ACS Nano, and Chemical Engineering Journal, and holds multiple Chinese invention patents in advanced nanomaterial applications. Recognized for her scientific excellence, Dr. Ge has served as a key contributor in state-level laboratories, advancing green energy and smart sensing technologies. Her professional portfolio demonstrates a sustained commitment to interdisciplinary innovation, bridging theoretical computation and experimental materials science, and positioning her as a distinguished researcher in chemical engineering and nanotechnology. According to Scopus, her research record includes 540 citations across 26 publications with an h-index of 12.

Profile: Scopus

Featured Publications

Ge, Jingmin*, Dual-metallic Single Ru and Ni Atoms Decoration of MoS₂ for High-efficiency Hydrogen Production. Appl. Catal. B-Environ., 2021, 298, 120557.

Ge, Jingmin*, Oxygen Atoms Substituting Sulfur Atoms of MoS₂ to Activate the Basal Plane and Induce Phase Transition for Boosting Hydrogen Evolution. Mater. Today Energy, 2021, 22, 100854.

Ge, Jingmin, Heterostructure Ni₃S₄–MoS₂ with Interfacial Electron Redistribution Used for Enhancing Hydrogen Evolution. RSC Adv., 2021, 11, 19630–19638.

Ge, Jingmin*, Activated MoS₂ by Constructing Single Atomic Cation Vacancies for Accelerated Hydrogen Evolution Reaction. ACS Appl. Mater. Interfaces, 2022, 14, 26846–26857.

Ge, Jingmin, NiFeCu Phosphides with Surface Reconstruction via Topotactic Transformation of Layered Double Hydroxides for Overall Water Splitting. Inorg. Chem. Front., 2023, 10, 3515–3524.

Assist. Prof. Dr. Mohamed Badawy | Antenna | Best Researcher Award

Published on by Electrical Engineering

Assist. Prof. Dr. Mohamed Badawy | Antenna | Best Researcher Award

Ass. Professor | Faculty of computer Science and Engineering | Egypt

Dr. Mohamed Badawi Farid is an Assistant Professor of Artificial Intelligence at the Faculty of Computer Science and Engineering, King Salman International University, recognized for his interdisciplinary expertise bridging mechanical engineering and advanced AI systems. He holds a Ph.D. in Mechanical Engineering with specialization in machine learning and neural networks, along with M.Sc. and B.Sc. degrees in Mechanical Engineering from Alexandria University, where he graduated with honors. His academic career includes faculty roles across King Salman International University, Misr University for Science and Technology, Alexandria University, and the Arab Academy, in addition to leading the Artificial Intelligence & Data Science track in a national digital transformation initiative and mentoring AI certification programs. Dr. Badawi’s research focuses on artificial intelligence, deep learning, intelligent robotics, biomedical applications, and smart systems, contributing impactful publications on neural networks, autonomous robotics, medical imaging, and intelligent control systems in reputable journals and international conferences. He has served as a reviewer for leading journals and conferences and has been recognized through multiple certificates of appreciation for academic judging, technical committee participation, and innovation excellence. Through his supervision of advanced projects in healthcare technology, defense robotics, and sustainable intelligent systems, he is shaping future talent and advancing the frontiers of transformative technologies. He has a Scopus record reflecting 28 citations, 7 indexed documents, and an h-index of 3.

Profile: Scopus

Featured Publications

Badawi M.B.*, Next-Gen wireless unleashed: Coplanar waveguide antennas on glass for 5G and beyond. AEU-International Journal of Electronics and Communications, 2025, 156055.

Badawi M.B.*, Thermo-hydrodynamic analysis of plain journal bearings: comparative study of ionic liquids and conventional oil lubricants. Thermal Science and Engineering Progress, 2025, 103919.

Badawi M.B.*, Intelligent control of air combat maneuvers using fuzzy logic. ICMRE (IEEE), 2025, pp. 319-326.

Badawi M.B.*, Deep learning-based pneumonia detection using chest X-ray images. International Journal of Telecommunications, 2025, 5(1), 1-16.

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

Published on by Electrical Engineering

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

Published on by Electrical Engineering

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

Published on by Electrical Engineering

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.