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)

 

 

Chuntong Li | Engineering | Best Researcher Award

Dr. Chuntong Li | Engineering | Best Researcher Award

Shanghai Jiao Tong University | China

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Early Academic Pursuits

Chuntong Li, born in 1988, embarked on his academic journey as a Postdoctoral Researcher at Shanghai Jiao Tong University. His commitment to excellence led him to engage in groundbreaking projects such as the High-tech Ship Research Projects Sponsored by MIIT and the KSHIP-II project.

Professional Endeavors

With a keen interest in intelligent design and dynamic analysis, Chuntong has made significant contributions to the field of ships and offshore structural optimization. He actively participated in the development of a Knowledge-based Ship Design Hyper-Integrated Platform, showcasing his dedication to advancing maritime technology.

Research Focus

Chuntong's research spans nonlinear dynamics, ultimate strength, virtual-real fusion, human factors engineering, and inverse finite element analysis. His recent work includes exploring the coupling effect of lashing bridges and ship structures, dynamic responses of container stacks, and applications of virtual and augmented reality in ship structure design.

Accolades and Recognition

Chuntong Li has received accolades for his outstanding contributions, including his role in the KSHIP-II project. His research on structural intelligent design and dynamic response has garnered recognition in esteemed journals, marking his impact on the maritime engineering community.

Impact and Influence

Chuntong's research on multi-objective optimization of lashing bridge structures, coupling effects, and virtual reality applications has influenced the industry's approaches to lightweight, statics, and dynamics optimization. His work has practical implications for manufacturing, ergonomics, and safety standards.

Legacy and Future Contributions

Chuntong Li's legacy lies in his pioneering work in the dynamic analysis of ships and innovative structural design. His proposed similarity criteria and design methods for distorted scale models showcase his commitment to advancing the field. As he continues to delve into ultimate compressive strength and virtual-real fusion, Chuntong is poised to leave a lasting impact on maritime engineering, setting the stage for future breakthroughs.

Notable Publications

Real-Time Digital Twin of Ship Structure Deformation Field Based on Inverse Finite Element 2024

An unified CAD/CAE/VR tool for ship structure design and evaluation based on multi-domain feature mapping 2023 (2)

The dynamic ultimate strength of stiffened panels under axial impact loading 2022 (2)

Investigations on visualization and interaction of ship structure multidisciplinary finite element analysis data for virtual environment 2022 (3)

A unified similarity criterion and design method for geometrically distorted scale models of thin-walled hull girder structures 2022 (2)

 

 

Arikatla Jaya Lakshmi: Pioneering Engineering Excellence | Best Researcher Award

Dr. Arikatla Jaya Lakshmi | Engineering | Best Researcher Award

Vardhaman College of Engineering | India

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Early Academic Pursuits

Dr. A. Jaya Lakshmi embarked on her academic journey with a strong foundation in science and technology. Graduating with a degree in Electronic Communication Engineering (ECE) from Nimra College of Engineering and Technology, she exhibited a keen interest in exploring the realms of communications and signal processing. Her academic prowess continued with a master's degree in Communications and Signal Processing from V R Siddhartha College of Engineering. Dr. Lakshmi culminated her academic journey with a Ph.D. in Wireless Communications from JNTUA, Ananthapuramu, focusing on "Improved Spectrum Sensing and Interference Management in Multi-cluster Cognitive Radio Networks."

Professional Endeavors

Dr. A. Jaya Lakshmi commenced her professional career as an Assistant Professor at Gudlavalleru Engineering College in 2006. Over the years, she has contributed significantly to academia, with her expertise spanning microprocessors, wireless communications, digital signal processing, and more. Her commitment to education led her to various academic positions, including Assistant Professor at Vardhaman College of Engineering, where she currently serves.

Contributions and Research Focus

Specializing in microprocessors, digital signal processing, and wireless communications, Dr. Lakshmi has demonstrated a commitment to advancing knowledge in her field. Her Ph.D. research focused on enhancing spectrum sensing and interference management in cognitive radio networks, showcasing her dedication to addressing real-world communication challenges.

Accolades and Recognition

Dr. A. Jaya Lakshmi has earned recognition for her outstanding contributions. Notably, she was honored with the Best Researcher Award, a testament to the impact of her research in the field of wireless communications.

Impact and Influence

With a substantial list of research publications and a focus on cutting-edge technologies such as IoT and AI-enabled THz/6G, Dr. Lakshmi has made a lasting impact on the field of communication engineering. Her work in resource allocation for cognitive third-party users and gender detection using machine learning reflects her commitment to innovative research.

Legacy and Future Contributions

Dr. A. Jaya Lakshmi's legacy lies in her commitment to education, research, and technological advancements. Her influence extends to her role in organizing workshops and courses, contributing to the development of the academic community. As she continues her journey, her future contributions are poised to shape the landscape of wireless communications and signal processing further.

Notable Publications

Dynamic Coordinative Estimation Enhancement in Cognitive Radio Network 2022 (4)

Resource Allocation in Spectrum Deployment for Cognitive Third-party Users 2021

Optimal Channel Allocation for QoS Provisioning in Cognitive Multihop Radio Adhoc Network 2018 (2)

An Efficient Hybrid Parallel Prefix Adders for Reverse Converters using QCA Technology 2016

Design and Simulation of a Low Power Viterbi Decoder using Constraint Length Nine 2013 (1)