Alice Cervellieri | Engineering | Best Researcher Award

Dr. Alice Cervellieri | Engineering | Best Researcher Award

Politecnico di Torino | Italy

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Early Academic Pursuits 🎓

Dr. Alice Cervellieri began her academic journey with a Bachelor’s degree in Civil and Environmental Engineering from the University of Engineering, Bologna, in 2005, achieving a perfect score of 110/110 laude. Her pursuit of excellence continued with a Master’s degree in Civil Engineering from the same institution in 2011. Notably, she expanded her intellectual horizons by earning a Bachelor’s degree in Linguistic Mediation Sciences from the School of Advanced Linguistic Mediation in 2019, graduating with an outstanding average of 29. Her educational endeavors were further enriched by certifications and specialized training. She participated in the ERASMUS Virtual Exchange program in 2020, focusing on dialogue facilitation, and completed the “Certificatore Energetico” course by Assform in 2016, gaining qualifications as an energy certifier. Dr. Cervellieri also acquired advanced knowledge in digital transformation technologies through a prestigious course at the Massachusetts Institute of Technology (MIT) in 2021.

Professional Endeavors 🌍

Dr. Cervellieri has played significant roles in academia and professional training. She served as a visiting professor at the Catholic University of Manizales, Colombia, in November 2020. Her teaching contributions also include assignments for the Emilia Romagna Region’s “Energy Certifier” course and tutoring roles for EUSAIR Week. Since 2021, she has been a mentor for Harvard University’s Mentorship Project, showcasing her dedication to fostering the next generation of scholars. Her formal qualifications to practice civil engineering were solidified by passing the state examination at the Polytechnic University of Marche in 2016. These accomplishments underscore her dual commitment to practical engineering applications and academic mentorship.

Contributions and Research Focus 🔄

Dr. Cervellieri’s research lies at the intersection of energy analysis and comfort optimization in residential and rural buildings. Her studies delve into established metrics such as PMV (Predicted Mean Vote) and PPD (Percentage of People Dissatisfied), as well as the development of novel indices like OTE and OEE. These indices, drawn from the manufacturing sector, have been innovatively adapted to enhance energy efficiency and occupant comfort. Her international collaborations have facilitated the development of groundbreaking algorithms, as evidenced by her impressive publication record. Dr. Cervellieri’s contributions include six publications in international scientific journals, ten conference proceedings, six books, two posters, and a national journal article.

Accolades and Recognition 🏆

Dr. Cervellieri’s academic achievements have been consistently recognized. Her selection as a mentor for prestigious projects like the Harvard Mentorship Program underscores her global standing as an educator and researcher.

Impact and Influence 💡

Dr. Cervellieri has significantly influenced the field of sustainable engineering through her participation in international projects. She contributed to the EU H2020 Project "ENCORE," which focused on energy-aware BIM Cloud Platforms for efficient building renovation. Additionally, her work in the EFRE-FESR Project "Brotweg" explored innovative mechanized solutions for high-altitude cereal production in alpine environments. These projects reflect her commitment to sustainable development and technological advancement. Her participation in the Erasmus+ Virtual Exchange project (2018-2020) exemplifies her dedication to fostering intercultural learning and virtual collaboration, providing young minds with transformative educational experiences.

Legacy and Future Contributions 🌱

Dr. Alice Cervellieri’s legacy is one of interdisciplinary excellence and global collaboration. Her contributions to energy-efficient building systems and educational mentorship are poised to leave a lasting impact on the fields of civil engineering and sustainable development. With her commitment to innovation and fostering cross-cultural dialogue, she is well-positioned to continue influencing academia and industry for years to come. As she advances her career, Dr. Cervellieri’s work will undoubtedly inspire future engineers and researchers to embrace sustainability and technological innovation as integral components of their practice.

 

Publications


📄 A Feed-Forward Back-Propagation Neural Network Approach for Integration of Electric Vehicles into Vehicle-to-Grid (V2G) to Predict State of Charge for Lithium-Ion Batteries
Authors: Alice Cervellieri
Journal: Energies
Year: 2024


📄 On the Synthesis of Holonic Management Trees
Authors: Pirani, M., Bonci, A., Cervellieri, A., Longhi, S.
Journal: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2021


📄 Innovative Approach in Cyber-Physical System for Smart Building Efficiency Monitoring
Authors: Bonci, A., Cervellieri, A., Longhi, S., Pirani, M.
Journal: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2021


📄 The Double Propeller Ducted-Fan, an UAV for Safe Infrastructure Inspection and Human-Interaction
Authors: Bonci, A., Cervellieri, A., Longhi, S., Nabissi, G., Antonio Scala, G.
Journal: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2020


📚 Brotweg—A Path of Bread in an Alpine Environment: New Mechanical Solutions for Grain Processing in Steep Mountain Slopes
Authors: Mayr, S., Brozzi, R., Cervellieri, A., Sacco, P., Mazzetto, F.
Journal: Lecture Notes in Civil Engineering
Year: 2020


 

Jaewon Rhee | Engineering | Best Researcher Award

Ms. Jaewon Rhee | Engineering | Best Researcher Award

Korea Advanced Institute of Science and Technology | South Korea

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Early Academic Pursuits 📘

Ms. Jaewon Rhee embarked on her academic journey in the field of electrical engineering, earning her Bachelor's degree from Kyungpook National University, Daegu, Korea, in 2020. She then pursued her Master's degree in CCS Green Transportation Engineering (Electrical Engineering) from the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, Korea, where she completed her thesis on the "Reactive Shielding Method with Increasing Power Transfer Efficiency using Frequency Split Phenomena" under the guidance of Professor Seungyoung Ahn. Currently, she is working towards her Ph.D. at the Cho Chun Shik Graduate School of Mobility at KAIST, continuing her research in Daejeon, Korea.

Professional Endeavors 🚀

Throughout her academic career, Ms. Rhee has made significant contributions to the field of electrical engineering, focusing on wireless power transfer, electromagnetic compatibility, electromagnetic fields, and power electronics. She has been actively involved in research projects and has co-authored several papers in renowned international journals. Her work includes innovative methods to enhance power transfer efficiency and reduce electromagnetic interference in wireless power systems.

Contributions and Research Focus 🔬

Ms. Rhee's research interests are primarily centered around wireless power transfer, electromagnetic compatibility, electromagnetic fields, and power electronics. She has contributed to several key publications, including:

  1. "EMI Reduction Method for Wireless Power Transfer Systems with High Power Transfer Efficiency Using Frequency Split Phenomena" (IEEE Transactions on Electromagnetic Compatibility, 2022).
  2. "Minimizing Leakage Magnetic Field of Wireless Power Transfer Systems Using Phase Difference Control" (Energies, 2022).
  3. "Accurate Method for Extracting the Coupling Coefficient of Wireless Power Transfer System" (IEEE Transactions on Power Electronics, 2022).
  4. "Wireless Torque and Power Transfer Using Multiple Coils with LCC-S Topology for Implantable Medical Drug Pump" (Sensors, 2021).

Accolades and Recognition 🏅

Ms. Rhee has been recognized for her outstanding research contributions with the Best Research Award from the Cho Chun Shik Graduate School of Mobility at KAIST in 2022. Her work has been published in leading journals and presented at various international conferences, reflecting her commitment to advancing the field of electrical engineering.

Impact and Influence 🌟

Ms. Rhee's research has had a significant impact on the development of more efficient and reliable wireless power transfer systems. Her innovative methods for reducing electromagnetic interference and improving power transfer efficiency are paving the way for advancements in wireless technology, particularly in the fields of transportation and medical devices.

Legacy and Future Contributions Highlight 🔮

As Ms. Rhee continues her Ph.D. studies and research, her future contributions are expected to further enhance the efficiency and applicability of wireless power transfer systems. Her ongoing work promises to address critical challenges in electromagnetic compatibility and power electronics, contributing to the development of cutting-edge technologies that will shape the future of wireless power transfer and its applications across various industries.

Publications 📗


Selection of Ferrite Depending on Permeability and Weight to Enhance Power Transfer Efficiency in Low-Power Wireless Power Transfer Systems

  • Authors: Jaewon Rhee, Seongho Woo, Changmin Lee, Seungyoung Ahn
  • Journal: Energies
  • Year: 2024

A Method for Deembedding the Mounting Pad and Via-Hole Effect in a Test Fixture for Accurate Impedance Measurement of the Surface Mount Device Component

  • Authors: Sanguk Lee, Hyunwoong Kim, Jangyong Ahn, Jaewon Rhee, Jaeyong Cho, Hongseok Kim, Seungyoung Ahn
  • Journal: IEEE Transactions on Instrumentation and Measurement
  • Year: 2024

Methodology for Extracting Low-Frequency Input Impedance of Personal Computer During Operation Using Dual Current Probes Method

  • Authors: Jaewon Rhee, Hyunwoong Kim, Kwanguk Chu, Seungyoung Ahn
  • Journal: IEEE Transactions on Electromagnetic Compatibility
  • Year: 2024

A Study on Automotive Passive EMI Filter Modeling Method for Conducted Emission Prediction

  • Authors: Jaewon Rhee, Sanguk Lee, Jangyong Ahn, Hongseok Kim, Jiseong Kim, Seungyoung Ahn
  • Journal: The Journal of Korean Institute of Electromagnetic Engineering and Science
  • Year: 2024

Minimizing Leakage Magnetic Field of Wireless Power Transfer Systems Using Phase Difference Control

  • Authors: Seongho Woo, Yujun Shin, Changmin Lee, Jaewon Rhee, Jangyong Ahn, Jungick Moon, Seokhyeon Son, Sanguk Lee, Hongseok Kim, Seungyoung Ahn
  • Journal: Energies
  • Year: 2022

 

Ajay Kumar Bansal | Energy | Best Researcher Award

Prof Dr. Ajay Kumar Bansal | Energy | Best Researcher Award

Central University of Haryana | India

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Early Academic Pursuits

Dr. Ajay Kumar Bansal embarked on his academic journey with a strong foundation in the sciences and engineering. He completed his 12th grade in Physics, Chemistry, and Maths from the Rajasthan Board of Secondary Education, Ajmer, in 1996 with a percentage of 71%. Following this, he pursued a Bachelor of Engineering (B.E.) in Electrical Engineering from M.B.M. Engineering College, JNVU, Jodhpur, in 2000, achieving 68%. His commitment to further education led them to earn a Computer Diploma from CDAC, Pune, in 2002 with a commendable score of 83.8%. He continued his studies with a Master of Technology (M.Tech.) in Power Systems from Malaviya National Institute of Technology (MNIT), Jaipur, in 2007, graduating with a CGPA of 9.58. Dr. Ajay Kumar Bansal concluded his formal education with a Ph.D. in Non-conventional Energy from MNIT, Jaipur, in 2014. His thesis focused on an "Efficient Hybrid Energy System for Rural Applications," highlighting his dedication to advancing energy solutions.

Professional Endeavors

Dr. Ajay Kumar Bansal has built a distinguished career in academia and engineering. He began his professional journey as a Lecturer in Electrical Engineering at Poornima College of Engineering, Jaipur, in July 2000. Over the years, he advanced to various leadership roles, including Head of Department (HOD) and Assistant Professor at Poornima College. From June 2007 to December 2009, he continued as HOD and Lecturer at Poornima College. Subsequently, he held positions as Dean and Associate Professor at Poornima Institute of Engineering & Technology, Jaipur, from December 2009 to April 2012. His expertise and leadership were further demonstrated as Director & Professor at the same institution from May 2012 to August 2018. Currently, he serve as a Professor, Ex. Dean, and Ex. HOD at Central University of Haryana, Mahendergarh, since August 2018, where he continue to contribute to administration and teaching.

Contributions and Research Focus

Dr. Ajay Kumar Bansal is renowned for his contributions in Electrical Engineering, particularly in the fields of Energy and Renewable Energy. his research focuses on the performance analysis of smart grids, the integration of renewable energy sources, and the development of advanced energy systems. He have been awarded patents for innovative solutions, including:

  • Civil Engineering Water Pump with Grid Connected Intelligent Solar System for Water Management (Patent No. 419535)
  • Inverted Vertical E Plate Bank Protection System for River (Patent No. 468510)

Additionally, he have published research on topics such as:

  • Intelligent System to Utilize Internet of Things (IoT) to Monitor Crops (Patent No. 201811013750)
  • Online Predictive Maintenance of Electric Motors Using Internet of Things (Patent No. 202231040194)

Hiswork encompasses advanced models for smart grid performance, cybersecurity in energy systems, and renewable energy integration.

Accolades and Recognition

Dr. Ajay Kumar Bansal has received numerous awards and honors for his exceptional contributions to the field of engineering:

  • POSOCO Power System Award (PPSA) - 2015 for the best Ph.D. thesis at the national level
  • Glory of Education Excellence Award, 2015
  • Research Excellence Award, 2020
  • National Education Brilliance Award, 2023 for being a highly effective professor in Indian education
  • SERD Sustainability Award 2024 in Indonesia

These accolades underscore his significant impact on both the academic and professional communities.

Impact and Influence

Dr. Ajay Kumar Bansal has made a substantial impact in his field through groundbreaking research and innovative solutions. His patents and research have advanced the knowledge base in smart grids, renewable energy, and water management. By integrating modern technologies like IoT into his projects, he have contributed to more efficient and sustainable engineering practices. His leadership roles in academia have inspired and guided many students and professionals in the field.

Legacy and Future Contributions

Dr. Ajay Kumar Bansal’s legacy is defined by his dedication to advancing engineering practices and his commitment to education. his innovative patents and research continue to influence the field of Electrical Engineering and Energy Systems. Looking ahead, he aim to further explore advancements in smart grid technologies, renewable energy integration, and sustainable practices. His ongoing research and leadership will likely continue to drive progress and inspire future generations of engineers.

 

Publications

  • Article: Optimal configuration and sensitivity analysis of hybrid nanogrid for futuristic residential application using honey badger algorithm
    Authors: Bansal, A.K., Sangtani, V.S., Bhukya, M.N.
    Journal: Energy Conversion and Management
    Year: 2024

 

  • Article: Simulation of thermal comfort and energy demand in buildings of sub-Himalayan eastern India - Impact of climate change at mid (2050) and distant (2080) future
    Authors: Thapa, S., Rijal, H.B., Pasut, W., Bansal, A.K., Panda, G.K.
    Journal: Journal of Building Engineering
    Year: 2023

 

  • Article: GMPP Tracking of Solar PV system using Spotted Hyena and Quadratic Approximation based Hybrid Algorithm under Partially shaded conditions
    Authors: Kumar, P., Kumar, M., Bansal, A.K.
    Journal: IEEE Access
    Year: 2023

 

  • Article: Biogeography-based Optimization of Artificial Neural Network (BBO-ANN) for Solar Radiation Forecasting
    Authors: Bansal, A.K., Sangtani, V.S., Dadheech, P., Aneja, N., Yahya, U.
    Journal: Applied Artificial Intelligence
    Year: 2023

 

  • Review: Sizing and forecasting techniques in photovoltaic-wind based hybrid renewable energy system: A review
    Authors: Bansal, A.K.
    Journal: Journal of Cleaner Production
    Year: 2022

 

 

Elaheh Yaghoubi | Energy | Best Researcher Award

Dr. Elaheh Yaghoubi | Energy | Best Researcher Award

Karabuk University | Turkey

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Early Academic Pursuits

Dr. Elaheh Yaghoubi's academic journey began with an Associate's degree in Electrical Engineering from University College of Rouzbahan, Iran, where she graduated with a GPA of 3.5. She then pursued a Bachelor's degree in Electrical Engineering at Aryan Institute of Science and Technology University, Iran, achieving a perfect GPA of 4. Following this, she completed her Master's degree in Electrical Engineering at Islamic Azad University in Qaemshahr, Mazandaran, Iran, again with a perfect GPA of 4. Her Master's thesis focused on developing a routing algorithm for a proposed topology for a grid on a large-scale chip to detect errors. Dr. Yaghoubi is currently a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University in Turkey, where she is working on her thesis titled "Optimal power control of grid-connected distributed generation in a hierarchical framework based on Model Predictive Control."

Professional Endeavors

Dr. Yaghoubi has a diverse professional background that complements her academic achievements. From 2015 to 2018, she served as a Senior Manager at Kati Kabl Tabarestan Factory in Mazandaran, Iran, where she was responsible for quality assurance, inspecting products to ensure high quality, and troubleshooting technical issues. She then worked as a Senior Manager at Rico Electronics Company in Mazandaran, Iran, overseeing product quality assurance and implementing design modifications. From 2019 to 2021, she worked as a Website Designer at WebCore Company in Mazandaran, designing front-end interfaces with HTML, CSS, and JavaScript, and back-end systems with PHP and Laravel. Currently, Dr. Yaghoubi is a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) group, focusing on investigation, teaching, and designing.

Contributions and Research Focus

Dr. Yaghoubi's research interests are broad and interdisciplinary, encompassing power system analysis, power system stability, power management, microgrids, smart grids, renewable energies, model predictive controllers (MPC), artificial neural networks, machine learning, deep learning, plasmonic applications, and nano-electronic devices. Her current research work involves optimal power control of grid-connected distributed generation using model predictive control, a topic that is crucial for the advancement of smart grids and renewable energy systems. She has also contributed to the understanding and development of routing algorithms for large-scale chips and has experience in quality control and product management in industrial settings.

Accolades and Recognition

Throughout her academic and professional career, Dr. Yaghoubi has been recognized for her excellence and contributions. She successfully passed her Ph.D. qualification exam with a perfect grade of 4 out of 4. Her consistent academic performance, marked by perfect GPAs during her Bachelor's and Master's studies, reflects her dedication and expertise in her field.

Impact and Influence

Dr. Yaghoubi's work has had a significant impact on both academic and industrial fields. Her research on smart grids, optimization techniques, and model predictive control contributes to the development of more efficient and reliable power systems. Her practical experience in quality control and product management ensures that her research is grounded in real-world applications and industrial standards.

Legacy and Future Contributions

Dr. Yaghoubi's legacy lies in her interdisciplinary approach to electronic and electrical engineering, integrating theoretical research with practical applications. Her work in power systems, renewable energy, and advanced control techniques positions her as a key contributor to the future of smart grid technology and sustainable energy solutions. As she continues her research and professional activities, Dr. Yaghoubi is likely to make further significant contributions to the field, driving innovation and excellence in electronic and electrical engineering.

 

Notable Publications

A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior 2024

A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering 2024

Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller 2023 (1)

Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide 2022 (9)

Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide 2021 (11)

 

 

 

Akhil Nigam | Engineering | Best Researcher Award

Dr. Akhil Nigam | Engineering | Best Researcher Award

Chandigarh University | India

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Early Academic Pursuits

Dr. Akhil Nigam's academic journey is rooted in a strong foundation in Electrical and Electronics Engineering. He completed his secondary education at N.L.K. Inter College, Kanpur, achieving 70.6% in his XII board exams in 2006 and 65% in his X board exams in 2004. His passion for engineering led him to pursue a B.Tech. in Electrical & Electronics Engineering at Naraina College of Engineering and Technology, under Gautam Buddh Technical University, where he graduated with a commendable 78.22% in 2011.

Professional Endeavors

Dr. Nigam's professional career began with a one-year tenure as a Teaching Personnel at Govind Ballabh Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, from August 2011 to May 2012. He then served as an Assistant Professor at IFTM University, Moradabad, from August 2013 to July 2017, in the Department of Electrical Engineering. Currently, he holds the position of Assistant Professor at Chandigarh University, Mohali, since June 2018, where he continues to contribute to the academic and research landscape.

Contributions and Research Focus

Dr. Nigam's research interests are primarily focused on renewable energy sources and power systems. His academic projects include the M.Tech. project "Simulation of Modified Perturb & Observe MPPT Technique for Solar PV Cell Application Using MATLAB/SIMULINK" and the B.Tech. project "Wireless MCB Fault Finder." He has made significant contributions to the field through his publications, which include several articles in reputed journals and conference proceedings. His notable works include research on MPPT techniques for solar PV cells and optimization techniques for distributed generators.

Accolades and Recognition

Dr. Nigam has been recognized for his academic and research excellence throughout his career. He completed his M.Tech. in Electrical Engineering (Power Systems) from IFTM University, Moradabad, in 2016, with an impressive 84.55%. His Ph.D. from Chandigarh University in 2023, with a CGPA of 7.0, further solidifies his expertise in Electrical Engineering. He has received accolades for his outstanding performance, including awards for his research publications and contributions to the field of electrical engineering.

Impact and Influence

Dr. Nigam's impact extends beyond his research contributions. He has actively participated in international conferences and workshops, presenting his work and engaging with the global academic community. His dedication to teaching and mentoring students has influenced many aspiring engineers. His involvement in research projects and publications has contributed to advancements in renewable energy and power systems, driving innovation and sustainability in the field.

Legacy and Future Contributions

Dr. Akhil Nigam's legacy in Electrical Engineering is marked by his rigorous research, academic excellence, and commitment to education. As he continues his career, his contributions to renewable energy, power systems, and smart grid technology are anticipated to significantly advance the field. His ongoing research and professional endeavors promise to leave a lasting impact on the scientific community and pave the way for future innovations.

 

Notable Publications

Reactive power compensation during the convergence of grid system with FACTS devices 2024

Modeling of hybrid power system using MATLAB  2023

Utilization of Various Controllers for Determination of Stability for Hybrid System Under MATLAB 2023

Modeling & Simulation Analysis of Solar PV System Using MPPT Controller for Study of Hybrid Energy System 2023

Optimization of Wind-Hydro Hybrid Energy System for Stability Analysis by Using Different Types of Controllers 2023 (2)

 

 

 

Vishnu Dharssini A.C | Engineering | Best Researcher Award

Ms. Vishnu Dharssini A.C | Engineering | Best Researcher Award

Thiagarajar College of Engineering | India

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Early Academic Pursuits

Ms. Vishnu Dharssini A.C has consistently demonstrated a passion for knowledge and excellence in her academic journey. Her pursuit of higher education in Electrical and Electronics Engineering began at Thiagarajar College of Engineering, Madurai, where she excelled academically. She was awarded a Silver Medal as the Best Outgoing Student of the Year 2021. Her dedication and outstanding performance were further recognized through awards for her achievements in the Anna University semestral examinations for two consecutive years, 2017 and 2018.

Professional Endeavors

Ms. Dharssini's professional endeavors are marked by her dedication to research and development in the field of Electrical and Electronics Engineering. She has engaged in various innovative projects, such as the simulation and analysis of a standalone microgrid for grid stability and modeling energy demand for an educational institution. Her current work focuses on an IoT-based demand side management and control scheme for smart grids. Additionally, she has gained valuable industrial exposure through her involvement in projects and collaborations.

Contributions and Research Focus

Ms. Dharssini has made significant contributions to the field of Electrical and Electronics Engineering, particularly in smart grid and renewable energy technologies. She is also exploring the burgeoning fields of machine learning and deep learning. Her research is supported by her proficiency in tools and software such as MATLAB, ETAP, Power World Simulator, Grafana, HOMER, DIG SILENT Power Factory Software, and PARAMICS. Her dedication to research is evident from her publications, which include two book chapters, seven conference papers, and five journal articles.

Accolades and Recognition

Ms. Dharssini's academic and research excellence have been widely recognized. In June 2023, she was selected for the "International Young Scientist Awards" under the category of "Best Researcher Award." Her commitment to continuous learning and skill enhancement is evident from her participation in numerous courses during the COVID-19 lockdown, including over five IEEE courses and five Coursera courses. Her efforts were further acknowledged when she received the "Savitha" scheme fellowship from Thiagarajar Research Fellowship in June 2022.

Impact and Influence

Ms. Dharssini's impact extends beyond her research contributions. She has actively participated in international conferences, where she has presented her work and engaged with the global academic community. Her involvement in initiatives such as the "Science and Technology Capacity Building for Industrial Needs" by the Tamil Nadu Council for Science and Technology in Chennai in 2019 highlights her commitment to applying her knowledge for industrial and societal benefits.

Legacy and Future Contributions

Ms. Vishnu Dharssini A.C's legacy in Electrical and Electronics Engineering is marked by her rigorous research, academic excellence, and dedication to continuous learning. As she continues her career, her contributions to smart grid technology, renewable energy systems, and the integration of machine learning in engineering are anticipated to advance the field significantly. Her ongoing research and professional endeavors promise to leave a lasting impact on the scientific community and pave the way for future innovations.

 

Notable Publications

Three-tier integrated demand-supply energy management for optimized energy usage in institutional building 2024

Smart Energy Source Management in a Commercial Building Microgrid 2024

An Investigation on Static Reconfiguration of Solar Photovoltaic Panels by Adopting Arithmetic Array Modelling 2023 (1)

Deployment of IoT-Based Smart Demand-Side Management System with an Enhanced Degree of User Comfort at an Educational Institution 2023 (4)

Energy Pattern Classification and Prediction in an Educational Institution using Deep Learning Framework 2022 (5)

 

 

Alok Jain | Engineering | Best Researcher Award

Assist Prof Dr. Alok Jain | Engineering | Best Researcher Award

Pandit Deendayal Energy University | India

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Early Academic Pursuits

Dr. Alok Jain embarked on his academic journey with a strong foundation in electrical and electronics engineering, culminating in notable achievements during his schooling years. His technical prowess and academic excellence were evident as he pursued higher education, completing his Ph.D. in Power Systems from IIT BHU, Varanasi, where he demonstrated exceptional aptitude and earned a perfect CGPA.

Professional Endeavors

Dr. Alok Jain's professional trajectory spans a diverse array of roles and responsibilities, reflecting his versatility and expertise in the field of electrical engineering. From serving as an Assistant Professor at various prestigious institutions to his stint as a Graduate Engineer Trainee at BSES Yamuna Power Limited, he has consistently demonstrated a commitment to excellence and a passion for contributing to the industry.

Contributions and Research Focus

Dr. Alok Jain's research focus revolves around critical areas such as power systems, smart grid technologies, and renewable energy. His dissertation and projects have addressed pressing issues in power quality, energy distribution, and system stability, showcasing his innovative approaches and contributions to advancing the field. Through his publications and conference presentations, he has actively disseminated knowledge and insights, enriching the academic discourse in his domain.

Accolades and Recognition

Dr. Alok Jain's academic and professional accomplishments have been recognized through various accolades and honors, including academic scholarships, professional memberships, and leadership positions in esteemed organizations such as IEEE. His contributions as a reviewer for international conferences and journals underscore his standing as a respected authority in his field.

Impact and Influence

Dr. Alok Jain's work has had a tangible impact on the field of electrical engineering, particularly in areas related to power quality enhancement, smart grid architecture, and renewable energy integration. His research findings and innovative solutions have the potential to drive significant advancements in energy infrastructure, sustainability, and grid resilience, thereby shaping the future of the industry.

Legacy and Future Contributions

As Dr. Alok Jain continues to chart his professional journey, his legacy lies in his enduring commitment to excellence, innovation, and service to society. His contributions to academia, research, and industry are poised to leave a lasting imprint, inspiring future generations of engineers and researchers to push the boundaries of knowledge and technology in pursuit of a sustainable energy future.

Notable Publications

Operating modes of grid integrated PV-solar based electric vehicle charging system- a comprehensive review 2024

Operation of Unified Power Quality Conditioner with Photovoltaic Arrays 2023 (3)

Online management and assessment of power quality issues through smart metering in smart grid architecture 2022 (6)

Network performance evaluation of smart distribution systems using smart meters with TCP/IP communication protocol 2022 (2)

A Communication-assisted Scheme in Radial Distribution Systems Using Phasor Measurement Units 2019 (4)

 

 

Gajendra Singh Chawda | Engineering | Best Extension Activity Award

Dr. Gajendra Singh Chawda | Engineering | Best Extension Activity Award

University of Michigan-Dearborn | United States

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Early Academic Pursuits

Gajendra Singh Chawda pursued his educational journey with a Bachelor of Technology in E & E Engineering from RGPV Bhopal, followed by a Master of Technology in Power System from NIT Kurukshetra. He completed his Ph.D. in Electrical Engineering from IIT Jodhpur, specializing in Renewable Energy Penetration and Adaptive Controls.

Professional Endeavors

As a Research Associate, Gajendra led projects in the development of novel high-frequency distribution systems and Electric Vehicle (EV) charging and discharging control using machine learning-based algorithms. He also contributed significantly to the construction of DC Microgrid experimental prototypes.

Contributions and Research Focus

Gajendra's research interests encompass a wide array of topics, including power systems, power electronics applications in distribution systems, renewable energy penetration, and grid-forming inverters. He has extensively studied adaptive control algorithms, big data analysis, and the application of AI/ML in power systems.

Accolades and Recognition

Gajendra received prestigious awards such as the Vishweshwaraya Scholarship Award for his Ph.D. and travel grants from IEEE-PES and CSIR-India for international conferences. He has delivered expert lectures in various academic programs and actively participated in technical events and professional organizations.

Impact and Influence

His groundbreaking projects and innovative solutions in renewable energy systems and microgrid technology have had a significant impact on advancing sustainable energy solutions. His contributions to research and development have been published in reputable journals, including IEEE Transactions and Elsevier.

Legacy and Future Contributions

Gajendra's commitment to pushing the boundaries of research and developing sustainable energy solutions is evident in his ongoing projects and collaborations. He continues to share his knowledge through academic mentoring, expert lectures, and participation in conferences, contributing to the broader academic community's advancement in electrical engineering and renewable energy.

Notable Publication

A reactive power-based adaptive approach for synchronization of DFIG into the weak grid to support existing WE infrastructure 2024

Power Quality Improvement in Rural Grid Using Adaptive Control Algorithm to Enhance Wind Energy Penetration Levels 2023 (9)

Performance Improvement of Weak Grid-Connected Wind Energy System Using FLSRF-Controlled DSTATCOM 2023 (10)

Fuzzy logic based Vehicle to Grid Controller for Voltage Regulation in Distribution Network with Solar-PV Penetration 2023

Enhancement of Wind Energy Penetration Levels in Rural Grid Using ADALINE-LMS Controlled Distribution Static Compensator 2022 (29)

 

 

Lei Wang | Energy | Innovation in Publishing Award

Dr. Lei Wang | Energy | Innovation in Publishing Award

Tsinghua University | China

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Early Academic Pursuits

Lei Wang embarked on his academic journey, earning a Bachelor's degree in Electrical Engineering from Yangtze University in 2015. He furthered his studies, completing a Master's degree at Hubei University of Technology in 2019 and earning his Ph.D. from Wuhan University in Electrical Engineering in 2023.

Professional Endeavors

Lei Wang delved into the realm of academia, contributing significantly to various research projects. His roles included postdoctoral research at Tsinghua University, focusing on machine learning applications in battery prognostics and health management. He demonstrated his expertise in anomaly detection, safety assessment, and predictive modeling for battery systems.

Contributions and Research Focus

Lei Wang made substantial contributions to the "Power IoTs" project, focusing on deep reinforcement learning for adaptive uncertainty economic dispatch in power systems. His innovative models addressed the complexities of economic dispatch, showcasing adaptability to uncertain conditions, particularly in renewable energy integration scenarios.

Accolades and Recognition

Lei Wang received recognition for his pivotal role in developing a deep reinforcement learning-based approach, enhancing economic dispatch in power systems. His work contributed to grid reliability and efficiency, demonstrating practical applicability in real-world scenarios, particularly in Tianjin's Binhai New Area.

Impact and Influence

Lei Wang's research has left a lasting impact on the field, advancing the understanding of power system optimization. His work not only contributes to academic knowledge but also has practical implications for improving the efficiency and reliability of power delivery and consumption.

Legacy and Future Contributions

Lei Wang's legacy includes pioneering work in machine learning applications for battery systems and economic dispatch in power systems. Looking ahead, his expertise in artificial intelligence, spatiotemporal correlation modeling, and power equipment diagnosis positions him as a key contributor to the evolving landscape of energy research. As an emerging leader in the field, Lei Wang is poised to continue making groundbreaking contributions to the energy sector.

Notable Publications

An Unsupervised Approach to Wind Turbine Blade Icing Detection Based on Beta Variational Graph Attention Autoencoder 2023

Wind turbine blade icing risk assessment considering power output predictions based on SCSO-IFCM clustering algorithm 2024

A novel approach to ultra-short-term multi-step wind power predictions based on encoder–decoder architecture in natural language processing 2022 (18)

M2STAN: Multi-modal multi-task spatiotemporal attention network for multi-location ultra-short-term wind power multi-step predictions 2022 (22)

M2TNet: Multi-modal multi-task Transformer network for ultra-short-term wind power multi-step forecasting 2022 (19)