SaiTeja Chopparapu | ECE | Best Paper Award

Posted on by Best Paper Award

Mr. SaiTeja Chopparapu | ECE | Best Paper Award

Assistant Professor at St. PETER’S Engineering College, India

Summary:

Mr. SaiTeja Chopparapu is an enthusiastic researcher and educator with expertise in electronics and communication engineering. With a solid academic background and hands-on experience in IoT, sensor systems, and image processing, he is committed to fostering innovation and critical thinking in the field. Known for his dedication and leadership skills, he aims to contribute to technological advancements and create an engaging learning environment for his students.

Professional Profile:

👩‍🎓Education:

Mr. SaiTeja Chopparapu is a dedicated researcher in Electronics and Communication Engineering, currently in the final stages of his Ph.D. at GITAM University, Visakhapatnam, where he submitted his thesis in October 2023. He earned an M.Tech in Sensor System Technology from Vellore Institute of Technology (VIT), Vellore, in 2019 with a CGPA of 8.49, building upon a B.Tech in Electronics and Communication Engineering from Dhanekula Institute of Engineering and Technology, JNTUK, in 2017. His foundational education includes an Intermediate in MPC from Sri Chaitanya Junior College, Kakinada, where he scored 88.4%, and an SSC from Ratnam High School, Dargamitta, with an aggregate of 84.67%.

🏢 Professional Experience:

Mr. Chopparapu is currently an Assistant Professor at St. Peters Engineering College, JNTUH, where he has been teaching since February 2024. His courses include Digital Electronics, IoT Architecture and Protocols, and Image Processing. With a passion for hands-on education, he has served as a lab in-charge for B.Tech students, mentoring them in programming fundamentals and facilitating discussions to deepen their understanding. His research experience includes a 9-month internship at the Research Centre Imarat (RCI), DRDO, where he developed a GUI for a capacitance-to-voltage converter for capacitive-based sensors. He also completed a 30-day internship at Effectronics Pvt. Ltd., where he was involved in testing and analyzing signaling systems. Over his career, Mr. Chopparapu has participated in more than 40 faculty development programs, covering a variety of topics such as MATLAB, Python, IoT, and technical skill enhancement.

Research Interests:

Mr. Chopparapu’s research interests are centered on sensor systems, IoT, and embedded systems, with an emphasis on IoT architecture and image processing. His dedication to advancing electronics and communication engineering is evident in his academic pursuits, professional roles, and active involvement in technical conferences. He has also expressed a keen interest in developing automation technologies and vehicle control systems.

Top Noted Publication:

“A Hybrid Learning Framework for Multi-Modal Facial Prediction and Recognition Using Improvised Non-Linear SVM Classifier”

  • Authors: C. SaiTeja, J.B. Seventline
  • Journal: AIP Advances, Vol. 13, Issue 2, 2023
  • Citations: 9
  • Abstract: This study presents a hybrid framework that integrates multi-modal inputs to enhance the accuracy of facial prediction and recognition systems. The framework leverages an improvised non-linear Support Vector Machine (SVM) classifier, optimizing recognition rates through a synergistic use of varied input sources.

“An Efficient Multi-Modal Facial Gesture-Based Ensemble Classification and Reaction to Sound Framework for Large Video Sequences”

  • Authors: S.T. Chopparapu, J.B. Seventline
  • Journal: Engineering, Technology & Applied Science Research, Vol. 13, Issue 4, Pages 11263-11270, 2023
  • Citations: 5
  • Abstract: This paper introduces a multi-modal ensemble classification framework that combines facial gesture recognition with sound response mechanisms, specifically designed for extensive video sequences. The framework enhances real-time interactions, addressing performance demands in complex multimedia environments.

“Object Detection Using MATLAB, Scilab, and Python”

  • Authors: S. Chopparapu, B. Seventline
  • Journal: Technology, Vol. 11, Issue 6, Pages 101-108, 2020
  • Citations: 5
  • Abstract: This publication compares the efficacy of object detection across three platforms: MATLAB, Scilab, and Python. By analyzing detection rates, computational efficiency, and implementation complexity, the study provides insights into the adaptability of these platforms for real-time applications.

“GUI for Object Detection Using Voila Method in MATLAB”

  • Authors: S.T. Chopparapu, D.B. Seventline J
  • Journal: International Journal of Electrical Engineering and Technology, Vol. 11, Issue 4, 2020
  • Citations: 4
  • Abstract: This work introduces a graphical user interface (GUI) for object detection utilizing the Viola-Jones method in MATLAB. The study highlights the GUI’s design features, ease of use, and effectiveness for beginner-level applications in image processing.

“Enhancing Visual Perception in Real-Time: A Deep Reinforcement Learning Approach to Image Quality Improvement”

  • Authors: S.T. Chopparapu, G. Chopparapu, D. Vasagiri
  • Journal: Engineering, Technology & Applied Science Research, Vol. 14, Issue 3, Pages 14725-14731, 2024
  • Citations: 2
  • Abstract: This paper explores the use of deep reinforcement learning techniques for enhancing real-time image quality. The proposed approach aims to improve visual perception in dynamic environments, with potential applications in surveillance, autonomous vehicles, and other fields requiring high-quality image processing.

Conclusion:

Overall, Mr. SaiTeja Chopparapu presents a strong case for the Best Paper Award. His impactful publications, coupled with his practical experience in IoT and image processing, are aligned with the award’s objective to recognize innovative contributions in ECE. Addressing the suggested areas for improvement could help maximize the visibility and impact of his work in the field. With his impressive background and dedication, he is well-positioned as a competitive candidate for this award.

 

 

Ramana Reddy | Electronics Engineering | Most Cited Article Award

Posted on by Best Paper Award

Dr. K.V. Ramana Reddy | Electronics Engineering | Most Cited Article Award

ASSOCIATE PROFESSOR at MALLA REDDY COLLEGE OF ENGINEERING AND TECHNOLOGY, INDIA

Summary:

Dr. K.V. Ramana Reddy is an accomplished academician and researcher with over 8 years of experience in the field of Electrical Engineering. Currently serving as an Associate Professor at Malla Reddy College of Engineering and Technology (Autonomous), his expertise spans power electronics, electric drives, and renewable energy systems. Dr. Reddy is known for his innovative approach to research, which includes exploring advanced technologies in smart grids and electric vehicles. He has previously held leadership roles, including serving as H.O.D., and has been actively involved in mentoring and guiding students through their academic journeys.

Professional Profile:

👩‍🎓Education:

Ph.D. in Electrical Engineering, VIT University, Vellore (2020)

  • Research Focus: Power Electronics and Electric Drives

M.Tech. in Power Electronics & Electric Drives (PE&ED), Jawaharlal Nehru Technological University Anantapur (JNTU-A), A.P. (2011)

  • Sri Venkateswara College of Engineering and Technology (SVCET), Chittoor
  • Grade: 81%

B.Tech. in Electrical and Electronics Engineering (E.E.E.), Jawaharlal Nehru Technological University Anantapur (JNTU-A), A.P. (2009)

  • Sri Mekapati Raja Mohan Reddy Institute of Technology & Science, Udayagiri
  • Grade: 79%

🏢 Professional Experience:

Associate Professor and IIC Coordinator, Malla Reddy College of Engineering and Technology (Autonomous), January 2023 – Present

Associate Professor, Sri Sai Rajeswari Institute of Technology, Proddatur, March 2022 – January 2023

Associate Professor, Sri Sairam College of Engineering, Bangalore, November 2020 – February 2022

Research Scholar, VIT University, Vellore, December 2016 – August 2020

Assistant Professor & H.O.D (Ratified by JNTU-A), Gouthami Institute of Technology & Management for Women, Proddatur, June 2011 – December 2016

Research Interests:

  • Power Electronics
  • Electric Drives
  • Renewable Energy Systems
  • Smart Grids
  • Electric Vehicle Technologies

Dr. K.V. Ramana Reddy’s research primarily focuses on power electronics, electric drives, and renewable energy systems. His work includes the integration of advanced technologies in smart grids and electric vehicle systems, aiming to contribute to sustainable energy solutions. His dedication to academic research and innovative thinking is reflected in his journal publications and his role in guiding students as an academic leader.

Author Metric:

  • Publications: Several peer-reviewed journal articles in reputed journals.
  • Research Citations: A growing number of citations reflecting the impact of his work in the fields of power electronics and renewable energy systems.

Top Noted Publication:

“A review of swarm-based metaheuristic optimization techniques and their application to doubly fed induction generator”

  • Journal: Heliyon
  • Year: 2022
  • Volume: 8, Issue 10
  • Citations: 17

“A review on grid codes and reactive power management in power grids with WECS”

  • Book Chapter: Advances in Smart Grid and Renewable Energy: Proceedings of ETAEERE-2016
  • Year: 2018
  • Citations: 15

“A heuristic approach to optimal crowbar setting and low voltage ride through of a doubly fed induction generator”

  • Journal: Energies
  • Year: 2022
  • Volume: 15, Issue 24
  • Article ID: 9307
  • Citations: 9

“A modified Whale Optimization Algorithm for exploitation capability and stability enhancement”

  • Journal: Heliyon
  • Year: 2022
  • Volume: 8, Issue 10
  • Citations: 9

“An adaptive neuro-fuzzy logic controller for a two-area load frequency control”

  • Journal: International Journal of Engineering Research and Application
  • Year: 2013
  • Pages: 989-995
  • Citations: 8