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

Published on by Electrical Engineering

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.

 

Libin Guo | Electric Vehicles | Best Researcher Award

Published on by Electrical Engineering

Libin Guo | Electric Vehicles | Best Researcher Award

Assistant Professor | Qufu Normal University | China

Dr. Libin Guo is an accomplished scholar and faculty member at the School of Management, Qufu Normal University, specializing in sustainable supply chain management, new energy vehicle supply chains, and platform supply chains. He holds advanced degrees in management with a strong focus on supply chain systems and decision sciences. His professional experience includes teaching, research, and leadership in collaborative projects that integrate theoretical modeling with practical applications in green technology adoption, demand forecasting, and cross-border e-commerce platforms. Dr. Guo’s research has been widely published in high-impact international journals, where he has contributed as both author and corresponding author, with notable work on evolutionary game models, crowdsourcing decision-making, and supply chain optimization. In addition to his research, he actively serves in academic communities through editorial responsibilities, peer-review activities, and professional memberships, further enhancing the field’s development. He has received recognition for his contributions to advancing sustainable and innovative supply chain practices, along with certifications and honors that underscore his academic and professional excellence.

Profile: ORCID

Featured Publications

Libin Guo*, An evolutionary game model of manufacturers and consumers’ behavior strategies for green technology and government subsidy in supply chain platforms. Comput. Ind. Eng., 2024, 189(3), 109918.

Libin Guo, Decision-making for demand signal in crowdsourcing platforms. J. Ind. Manag. Optim., 2024, 20(1), 664–678.

Libin Guo*, Decision-making of cross-border e-commerce platform supply chains considering information sharing and free shipping. Sustainability, 2023, 15(4), 3350.

Shuxia Jiang | Electric Vehicle Energy Management | Best Researcher Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Shuxia Jiang | Electric Vehicle Energy Management | Best Researcher Award

Director of the Vehicle Engineering Department | Central South University of Forestry and Technology | China

Dr. Jiang Shuxia is an Associate Professor at the College of Mechanical and Intelligent Manufacturing, Central South University of Forestry and Technology (CSUFT), where she has dedicated her career to teaching, research, and academic leadership. With expertise spanning intelligent driving, machine vision, fault diagnosis, and artificial intelligence applications, she has built a professional profile marked by innovation, perseverance, and outstanding mentorship. Her contributions to higher education and scientific research demonstrate an unwavering commitment to advancing knowledge and shaping the next generation of engineers and researchers.

Professional Profiles

ORCID | Scopus Profile 

Education

Dr. Jiang’s academic foundation was built at Central South University, where she completed undergraduate studies in Mechanical and Electronic Engineering before continuing with a Master’s degree in Vehicle Operation Engineering under the supervision of Professor Fu Qinyi. She later pursued doctoral studies in Traffic Equipment and Information Engineering, guided by Professor Luo Yiping, where her focus deepened in advanced data analysis, signal processing, and intelligent systems. Her perspective was further enriched through international study as a visiting scholar at the Free University of Brussels, Belgium, which provided her with valuable global academic exposure and strengthened her research collaborations.

Experience

Dr. Jiang has served at CSUFT for her entire professional career, advancing from a young lecturer to Associate Professor and Master’s Supervisor. She has taught a broad spectrum of courses, including Optimization Design and MATLAB Software, Automotive Intelligent Networking Technology, and Deep Learning Theory and Intelligent Driving. She has also delivered all-English professional courses such as Automotive Electronic Control Technology to international graduate students, enhancing CSUFT’s global outreach. Over the years, she has consistently maintained a demanding teaching workload while guiding numerous student graduation projects to completion. Many of her students have earned recognition for Excellent Graduation Theses, reflecting her commitment to academic rigor and personalized mentorship.

Research Focus

Dr. Jiang’s research blends engineering, mathematics, and artificial intelligence to address critical challenges in intelligent vehicles, condition monitoring, and system fault diagnosis. She has led funded projects supported by the National Natural Science Foundation of China, the Hunan Provincial Natural Science Foundation, and the Hunan Provincial Department of Education. Her investigations span topics such as energy management, fan noise prediction, and intelligent diagnostic systems for vehicle networking. Her methodologies combine Markov chain models, Monte Carlo simulations, neural networks, and wavelet analysis to deliver both theoretical insights and applied engineering solutions. Through collaborations with industrial partners, she has ensured that her work contributes directly to practical technological advancements in intelligent driving and mechanical systems.

Awards & Honors

Dr. Jiang’s contributions have been widely recognized within academic and professional communities. She has received multiple teaching excellence awards and distinctions for her role in nurturing student talent. Her ethical teaching practices were highlighted in a widely circulated “Model Teachers” profile, and her dedication to students and research was celebrated in a special “CSUFT Personalities” report that portrayed her as a scholar who is both approachable and disciplined. She was also honored with a distinguished teaching title at her university, affirming her role as a leader in education. More recently, her pedagogical innovation earned her top placement in a Teaching Innovation Competition. Under her supervision, students have secured national-level awards in the Intelligent Car Competition, Mathematical Modeling, and Big Data challenges, showcasing her ability to cultivate academic and creative excellence in her mentees.

Publication Top Notes

Title: A Novel Temperature Distribution Modeling Method for Thermoelectric Coolers with Application to Battery Thermal Management Systems
Year: 2024

Title: A Wavelet-Based Computational Framework for a Block-Structured Markov Chain with a Continuous Phase Variable
Year: 2023

Title: A Unified Perturbation Analysis Framework for Countable Markov Chains
Year: 2017

Title: Wavelet Transform for a Quasi-Birth-Death Process with a Continuous Phase Set
Year: 2015

Title: Poisson's Equation for Discrete-Time Single-Birth Processes
Year: 2014

Title: Method for Engine Waveform Analysis and Fault Diagnosis Based on SFB and HHT
Year: 2013

Title: SFB Selection Method and Its Application in Engine Waveform Analysis and Fault Diagnosis
Year: 2012

Title: Injector Waveform Analysis and Engine Fault Diagnosis Based on Frequency Space
Year: 2010

Title: Noise Prediction of Centrifugal Fan Based on Improved Neural Network
Year: 2021

Title: Real-Time Estimation of Lithium Battery SOC Based on Fused EKF and Improved DELM
Year: 2024

Title: Research on Time-Varying Cable Force Identification Method Based on Radar Vibration Testing Technology
Year: 2023

Title: SOH Estimation of Lithium Battery Based on Improved GWO-SVR
Year: 2023

Title: Vehicle Detection Based on SSD-MobilenetV3 Model
Year: 2022

Title: Traffic Sign Recognition Based on Attention Mechanism
Year: 2022

Title: Noise Prediction of Centrifugal Fan Based on PCA-IPSO-INN
Year: 2022

Title: Combined Pruning Algorithm for Unmanned Driving Deep Learning Model
Year: 2021

Title: Spark Plug Gap Identification Based on Wavelet and Neural Network
Year: 2017

Title: Analysis Method of Engine Ignition Waveform Based on Wavelet Threshold Denoising and Secondary Empirical Mode Decomposition
Year: 2015

Conclusion

Dr. Jiang Shuxia exemplifies the qualities of a distinguished academic leader: a devoted educator, an accomplished researcher, and an inspiring mentor. Her career has been marked by excellence in teaching, innovation in research, and leadership in guiding students toward national and international achievements. By uniting advanced theoretical models with practical engineering applications, she has contributed significantly to the fields of intelligent driving, machine vision, and AI-powered diagnostics. Her publications, patents, and project outcomes underscore her ability to push the boundaries of knowledge while delivering tangible impact. These achievements make her a highly deserving candidate for recognition as an outstanding scholar and innovator in her field.

 

Waheed Sabry | Electric Vehicles | Best Researcher Award

Published on by Electrical Engineering

Prof. Dr. Waheed Sabry | Electric Vehicles | Best Researcher Award

Vice-Dean | Giza Engineering Institute | Egypt

Professor Waheed Said Ali Sabry is a highly accomplished scholar, educator, and leader in the field of electrical engineering, with a specialization in power and energy systems’ control, dynamics, and stability. He has combined academic excellence, visionary research, and institutional leadership to become a prominent figure in the advancement of engineering education and energy innovation. His career reflects an exceptional blend of technical expertise, administrative capability, and dedication to developing sustainable energy solutions that benefit both academia and society.

Professional Profiles

Scopus Profile | ORCID

Education

Professor Sabry’s academic journey is rooted in both engineering and statistics, reflecting a unique interdisciplinary approach to problem-solving. He began with a Bachelor of Science in Electrical Engineering, graduating with distinction, and went on to complete a Master of Science in Electrical Engineering with a thesis focusing on excitation control and power system stability. His pursuit of knowledge expanded into applied mathematics, earning a diploma in statistics followed by a Master of Science in Mathematical Statistics with a specialization in system reliability. He also obtained a Doctor of Philosophy in Electrical Engineering with research on control schemes for large-scale power systems. This diverse educational background demonstrates his ability to integrate engineering precision with mathematical analysis, making him a versatile researcher and educator.

Experience

Professor Sabry’s professional journey spans a wide range of academic and leadership roles. He began his career in the Egyptian Armed Forces, where he developed discipline and leadership skills that later influenced his academic career. He has served as a teaching assistant, lecturer, associate professor, and full professor at the Military Technical College, where he also held key leadership positions including head of department and chair of the scientific council. His expertise has been recognized internationally through postdoctoral research abroad and participation in global academic networks. Beyond teaching, he has held deanships in multiple higher education institutions, guiding their academic development and advancing engineering education standards. Currently, he serves as Vice Dean for Education and Student Affairs and Head of the Electrical Engineering Department at the Giza Engineering Institute, where he continues to influence academic policies, curricula, and student success.

Research Focus

Professor Sabry’s research is centered on power system control, stability, and modernization in the era of renewable energy. His contributions include advancing the development of smart grids, microgrids, nanogrids, and virtual power plants. He has worked on innovative control approaches for synchronous reluctance machines, artificial intelligence applications for renewable energy integration, and stability improvements using virtual inertia controllers. His applied research extends to the design and implementation of wind energy systems, small-scale wind turbines for home use, and the development of cloud seeding stations through reverse engineering. By combining theoretical foundations with real-world applications, his work has contributed to more resilient and efficient energy systems that address the growing global demand for sustainability.

Awards & Honors

Professor Sabry has received numerous certificates and formal recognitions for his academic, research, and institutional contributions. His efforts have been commended for excellence in teaching, outstanding research, and valuable service to national technical committees. He has been recognized for his role in coordinating technical studies on peaceful nuclear energy applications, reflecting his contribution to both national development and international cooperation. His leadership in academic committees, professional organizations, and conference steering groups highlights his reputation as a trusted authority and innovator in the field of electrical engineering.

Publication Top Notes

Title: Led Lamp Harmonics Minimization
Author: Prof. Waheed Sabry
Journal: Journal of Engineering Advances and Technologies for Sustainable Applications (JEATSA Journal)

Title: A Dynamic Virtual Inertia Controller Testing to Improve Load Frequency Efficacy of a Power System Penetrated with Renewable Energy Sources
Author: Waheed Sabry, Abdullah Elsayed Elewa, Amal F. Abd EL Gawad, Mohamed A. Farahat
Journal: International Review of Automatic Control (IREACO)

Title: Diminishing Electric Vehicle Synchronous Reluctance Motor Torque Ripples using a Hybrid Supercapacitor/Battery Energy Storage System Combination
Author: Waheed Sabry
Journal: Journal of Electrical Systems (JES)

Title: Optimal Artificial Intelligence Technique for LVRT Capability Improvement of a Grid-tied Wind Energy Conversion System: A MGOANFIS-PI Methodology
Author: Waheed Sabry
Journal: Ain Shams Engineering Journal

Title: Torque ripples reduction of electric vehicle synchronous reluctance motor drive using the strong action controller
Author: Aya Mohamed Abou-ElSoud, Adel Saad Ahmed Nada, Abdel-Aziz Mahmoud Abdel-Aziz, Waheed Sabry
Journal: Ain Shams Engineering Journal

Title: Load Frequency Control of a Multi-Area Power System Penetrated with a Wind Station for Better Performance Enhancement
Author: Abdullah Elsayed Elewa, A. F. Abd-El-Gawad, Mohammed Farahat, Waheed Sabry
Journal: International Middle East Power System Conference (MEPCON)

Title: Mountain Gazelle algorithm-based optimal control strategy for improving LVRT capability of grid-tied wind power stations
Author: Fatma El Zahraa Magdy, Hany M. Hasanien, Waheed Sabry, Zia Ullah, Abdulaziz Alkuhayli, Ahmed H. Yakout
Journal: IEEE Access

Title: Power Oscillation Damping using Sine Cosine Algorithm based Tilt-Derivative Tilt-Integral Automatic Voltage Regulator
Author: Waheed Sabry
Journal: International Middle East Power Systems Conference (MEPCON)

Title: Synchronous Reluctance Motors Torque Ripples Reduction using Feedback Cascaded P-I-I Controller
Author: Waheed Sabry
Journal: International Middle East Power Systems Conference (MEPCON)

Title: A Novel Strong Action Controller Simplified Model with Detailed Mathematical Interpretation and Performance Evaluation
Author: Waheed Sabry
Journal: International Middle East Power Systems Conference (MEPCON)

Title: Power System Stability Improvement by Employing Strong Action Controller Acting as Virtual Inertia Controller
Author: Waheed Sabry
Journal: International Middle East Power Systems Conference (MEPCON)

Title: Enhancement of frequency stability of power systems integrated with wind energy using marine predator algorithm based PIDA controlled STATCOM
Author: Waheed Sabry
Journal: Alexandria Engineering Journal

Title: A strong action power system stabilizer employment to improve large scale power systems' stability
Author: Waheed Sabry
Journal: Journal of Electrical Systems

Title: Enhancing rotor angle stability of power systems using marine predator algorithm based cascaded PID control
Author: Waheed Sabry
Journal: Ain Shams Engineering Journal

Title: Cepstrum Multitaper Method for Optimal Detection of Cognitive Radio Networks
Author: Waheed Sabry
Journal: Universal Journal of Electrical and Electronic Engineering

Title: Energy management of virtual power plants dependent on electro-economical model
Author: Waheed Sabry
Journal: Ain Shams Engineering Journal

Title: Electric Vehicles Inductive Power Transfer System Modeling, Simulation and Control
Author: Waheed Sabry
Journal: Universal Journal of Electrical and Electronic Engineering

Title: A Strong Action Power System Stabilizer Application in a Multi-machine Power System Containing a Nuclear Power Plant
Author: Waheed Sabry
Journal: International Conference on Electrical Machines, Drives and Power Systems (ELMA)

Title: Innovative Wind-Cube Tracking System using Vane Control: Design and Implementation
Author: Waheed Sabry
Journal: International Conference on Electrical Machines, Drives and Power Systems (ELMA)

Title: Virtual Power Plants Modeling and Simulation using Innovative Electro-Economical Concept
Author: Waheed Sabry
Journal: International Conference on Electrical Machines, Drives and Power Systems (ELMA)

Conclusion

Professor Waheed Said Ali Sabry represents a model of academic excellence, research innovation, and leadership in the field of electrical engineering. His interdisciplinary expertise, spanning engineering and statistics, enables him to tackle complex problems with rigor and creativity. His career demonstrates a deep commitment to advancing renewable energy technologies, developing resilient power systems, and fostering collaboration between academia and industry. Through his leadership, he has strengthened academic institutions, guided young scholars, and contributed to the modernization of engineering education and research. His impact extends beyond publications and positions—he has shaped policies, technologies, and people, leaving a lasting legacy on both national and international levels. These accomplishments make him an outstanding nominee for recognition in any distinguished award program.