CHANDRASEKHAR C | Image Processing | Lifetime achievement Award

Dr. CHANDRASEKHAR C | Image Processing | Lifetime achievement Award

PRINCIPAL, PARVETE, India

🎓 Dr. C. Chandrasekhar is an esteemed academician and researcher specializing in Electronics and Communication Engineering. With over two decades of rich experience in teaching, research, and industrial roles, he has significantly contributed to advancing low-power VLSI designs, MEMS technology, and image processing techniques. Currently, he serves as the In-charge Principal at SVEC and Professor in the Department of ECE. He is a Fellow of the Institution of Engineers (India) and has led several impactful research projects funded by prestigious organizations.

Publication Profile

Education

📘 Dr. Chandrasekhar holds a Ph.D. in Electronics and Communication Engineering from Sri Venkateswara University, Tirupati (2014), where his thesis focused on Discrete Wavelet Transform-based image fusion and compression for micro air vehicle applications. He earned an M.E. in Digital Electronics from BVB College of Engineering, Karnataka (2003), and a B.E. in Instrumentation Technology from Govt. BDT College of Engineering, Karnataka (1994), showcasing his strong academic foundation in electronics and instrumentation.

Experience

💼 Dr. Chandrasekhar has an impressive career trajectory, ranging from industrial roles to academic leadership positions. He served as an Engineer at Hindustan Aeronautics Limited, Bangalore, and has held several academic roles, including Associate Professor, Head of Department, and Professor at institutions like NBKR Institute of Science & Technology and SVCET, Chittoor. His teaching portfolio includes courses such as Microprocessors, Digital Signal Processing, MEMS, and Embedded Systems.

Awards and Honors

🏆 Dr. Chandrasekhar is the recipient of numerous grants, including the DST-SEED/TIDE grant for profiling skill development activities and a DSIR-PRISM-funded project for developing security gadgets for pilgrims. His achievements underline his dedication to addressing societal and technological challenges through research.

Research Focus

🔬 Dr. Chandrasekhar’s research interests encompass low-power VLSI architectures for 2D/3D DWT-IDWT, MEMS technology, and advanced image compression, registration, and fusion techniques. His work is characterized by its emphasis on practical applications, particularly in vehicular communications, cognitive radio, and micro air vehicle systems.

Conclusion

🌟 Dr. C. Chandrasekhar stands out as a visionary educator and researcher committed to the growth of electronics and communication engineering. With a legacy of impactful projects, scholarly contributions, and innovative designs, he continues to inspire the next generation of engineers and researchers.

Publications

Pass-Transistor-Enabled Split Input Voltage Level Shifter for Ultra-Low-Power Applications, Micromachines, 2025.

Varactor Tunable Compact MIMO Antenna with Reconfigurable Multi-Band Operating and Notching for Cognitive Radio Applications, Wireless, Antenna and Microwave Symposium WAMS, 2024.

A Miniaturized-Slotted Planar MIMO Antenna with Switchable Configuration for Dual-/Triple-Band Notches, AIP Advances, 2024.

A Triple Band Pattern Reconfigurable Planar Antenna for 5G Applications, Frequenz, 2022.

A Study and Review on Frequency Band Notch Characteristics in Reconfigurable MIMO-UWB Antennas, Wireless Personal Communications, 2021.

Compact Quad Band Radiator for Wireless Applications, Lecture Notes in Electrical Engineering, 2021.

Micro Organic Photo Detector Characterization using Data Acquisition, TEST Engineering Management, 2020.

Review of 2D/3D DWT-IDWT VLSI Architectures for Image Compression, International Journal of Signal and Imaging Systems Engineering, 2014.

Analysis of Fractional Frequency Reuse (FFR) over Classical Reuse Scheme in 4G (LTE) Cellular Network, Advances in Intelligent Systems and Computing, 2012.

A Conformal Multi-Band MIMO Antenna for Vehicular Communications, Journal Article, year not specified.

 

Jihyeon Ryu | Computer Science | Best Researcher Award

Assist Prof Dr. Jihyeon Ryu | Computer Science | Best Researcher Award

Professor, Kwangwoon University, South Korea

👩‍🏫 Jihyeon Ryu is an Assistant Professor at the School of Computer and Information Engineering, Kwangwoon University. She specializes in split learning, convolutional neural networks, and user authentication, contributing significantly to the field of computer science with her extensive research and numerous publications.

Profile

Google Scholar

 

Education

Ph.D. in Software (Integrated Master’s and Doctorate Course) from Sungkyunkwan University (Mar. 2018 – Feb. 2023), advised by Prof. Dongho Won and Prof. Hyoungshick Kim. B.S. in Mathematics and Computer Science and Engineering from Sungkyunkwan University (Mar. 2013 – Feb. 2018). Early Graduation from Sejong Science High School (Mar. 2011 – Feb. 2013).

 

Research Interests:

Split Learning. Convolutional Neural Networks. User Authentication

Awards

Family Company Workshop Lecture, Hoseo University (Feb. 2022). Invited Lecturer, Mental Women’s High School (Nov. 2021). Excellence Prize, Software Department Excellence Research Awards (Feb. 2021). Graduate Merit Scholarship, Sungkyunkwan University (Mar. 2018 – Feb. 2021). SimSan Scholarship, Multiple instances (Mar. 2018 – Sep. 2020). Excellence Award, 국가 암호기술 전문인력 양성과정 (Nov. 2019). Grand Prize, Software Department Excellence Research Awards (Feb. 2019). Samsung Science Scholarship (Mar. 2013 – Feb. 2018)

Publications

Lightweight Hash-Based Authentication Protocol for Smart Grids. Sensors, 2024. Sangjin Kook, Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.

Enhanced Lightweight Medical Sensor Networks Authentication Scheme Based on Blockchain. IEEE ACCESS, 2024. Taewoong Kang, Naryun Woo, Jihyeon Ryu.

Secure and Anonymous Authentication Scheme for Mobile Edge Computing Environments. IEEE Internet of Things Journal, 2024. Hakjun Lee, Jihyeon Ryu, Dongho Won.

Distributed and Federated Authentication Schemes Based on Updatable Smart Contracts. Electronics, 2023. Keunok Kim, Jihyeon Ryu, Hakjun Lee, Youngsook Lee, Dongho Won.

An Improved Lightweight User Authentication Scheme for the Internet of Medical Things. Sensors, 2023. Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.