Rounak Raman | Information Technology | Outstanding Scientist Award

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Mr. Rounak Raman | Information Technology | Outstanding Scientist Award

Netaji Subhas University of Technology | India

Mr. Rounak Raman is an emerging researcher specializing in computer networking, IoT security, wireless sensor networks, AI-driven network management, and Generative AI. His scholarly contributions include CONTEXT-NET, a context-aware aggregation protocol for opportunistic networks, and ARMor-IoT, a trust-optimized mechanism enhancing IoT reliability, reflecting innovation in secure communication systems. He has also developed EAHCP, an energy-aware hybrid clustering protocol improving network lifetime, and HKRISRP, a hierarchical key-rotation framework for strengthened WSN security. His interdisciplinary work spans neurofeedback analytics, semantic search, YOLO-based computer vision, and enterprise generative AI tools. Overall, his research demonstrates strong technical depth, real-world impact, and a focus on secure, intelligent, and energy-efficient networked systems.

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Featured Publications

ARMor-IoT: Aggregated Reliable Mechanism for Optimized Trust in IoT
– International Conference on Artificial Intelligence and Its Application, 2025

Yanchun Chen | Technology | Best Researcher Award

Published on by Global Academic Awards

Dr. Yanchun Chen | Technology | Best Researcher Award

Dr. Yanchun Chen, Communication University of China, China

Yanchun Chen is a Ph.D. student in Information Communication at the Communication University of China (CUC), specializing in digital public opinion. With a background in computational communication, she has contributed extensively to public opinion analysis and media convergence research. She has published in high-impact journals, including Cities and Ethics and Information Technology. Yanchun has presented her research at IAMCR, AEJMC, and ICA conferences, receiving the IAMCR Urban Communication Award. Her expertise lies in digital media ethics, risk communication, and the socio-political impact of emerging technologies.

Publication Profile

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🎓 Education

Yanchun Chen is pursuing her Ph.D. in Information Communication at CUC (2024–Present), focusing on digital public opinion. She holds an M.S. in Communication (Computational Communication) from the State Key Laboratory of Media Convergence and Communication, CUC (2022–2024), where she analyzed communication data to interpret public sentiment. She completed her B.S. in Tourism Management from Minjiang University (2017–2021), developing foundational insights into media’s impact on cultural narratives. Her academic journey reflects an interdisciplinary approach, integrating communication theories with computational methodologies.

💼 Experience

Yanchun has conducted extensive data analysis at the State Key Laboratory of Media Convergence and Communication, focusing on public opinion trends. At the National Broadcast Media Language Resources Monitoring and Research Center, she developed a systematic media monitoring ledger. She has collaborated on international research, applying social network analysis and topic modeling to urban communication and media ethics. Her studies on deepfake resurrection, AI-generated narratives, and crisis communication have contributed to scholarly discourse in media ethics. Additionally, she has served as a research assistant on digital geopolitics projects, addressing trust issues in global media.

🏆 Awards and Honors

Yanchun has received the prestigious IAMCR Urban Communication Award (2024) for her groundbreaking research. She has been recognized with first-class scholarships, an Outstanding Graduate award, and the highest-level alumni scholarship at CUC. She also holds a National Computer Level II certificate and a bilingual tour guide certification. Her research has been nominated for the Best Researcher Award at the International Academic Awards. These accolades underscore her contributions to media studies, computational communication, and digital ethics.

🔬 Research Focus

Yanchun’s research explores urban memory in digital media, risk communication, and ethical implications of AI-generated content. She examines visual representation in short-form media and its role in shaping public perceptions. Her work on deepfake resurrection delves into digital immortality and narrative ethics. Additionally, she investigates media trust, particularly in global crisis communication, using computational methods like DTM topic modeling and social network analysis. Her studies contribute to understanding media convergence, digital ethics, and the socio-political impact of emerging communication technologies.

Publication Top Note

Urban visual representation and ethical narrative risks

Conclusion

Dr. Yanchun Chen demonstrates exceptional research contributions, global academic recognition, and innovative methodologies in digital communication and public opinion studies. Their publications in top-tier journals, prestigious awards, and interdisciplinary research focus make them a highly suitable candidate for the Best Researcher Award.

Sureshkumar Chelladurai | Information Technology | Best Researcher Award

Published on by Global Academic Awards

Dr. Sureshkumar Chelladurai | Information Technology | Best Researcher Award

Dr. Sureshkumar Chelladurai, Vel Tech Rangarajan Dr Sangunthala R and D Institute of Science and Technology, India

Dr. Sureshkumar Chelladurai is a seasoned academic with over 12 years of experience in IT education. He currently serves as an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology. Previously, he taught at Anna University, BIT campus, and Maha Barathi Engineering College. Dr. Chelladurai holds a Ph.D. in ICE from Anna University, an M.E. in CSE from Annamalai University, and a B.Tech in IT from SVCET, Tenkasi. His expertise spans programming languages, networks, cloud computing, operating systems, compiler design, and machine learning. 🚀📚

Publication Profile

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Experience 🧑‍🏫

Dr. Sureshkumar Chelladurai is a seasoned academic with a wealth of experience in teaching and research. He began his career as an Assistant Professor of IT at Maha Barathi Engineering College in Kallakurichi, Tamil Nadu, serving from June 2011 to July 2014, totaling 37 months. He then moved to Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, where he worked as a Teaching Fellow in IT from January 2015 to December 2023, accumulating 107 months of experience. Currently, Dr. Chelladurai holds the position of Assistant Professor of IT at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, starting in December 2024. With over 12.3 years of experience, Dr. Chelladurai has established himself as a dedicated and knowledgeable educator.

Education 🎓

Dr. Chelladurai’s academic journey is marked by significant achievements. He completed his Ph.D. in Instrumentation and Control Engineering from Anna University, Chennai, in 2023. Prior to this, he earned his M.E. in Computer Science and Engineering from Annamalai University, Chidambaram, in 2011, with a commendable OGPA of 7.9. He also holds a B.Tech in Information Technology from SVCET, Puliyangudi, Tenkasi, Tamil Nadu, graduating in 2008 with a percentage of 69. His early education includes a Higher Secondary Certificate (HSC) from H.N.U.C. Hr. Sec. School, Puliyangudi, with a percentage of 76 in 2003, and a Secondary School Leaving Certificate (SSLC) from the same institution, where he scored 86% in 2000.

Research Focus

Dr. Sureshkumar Chelladurai’s research primarily revolves around enhancing the efficiency and security of wireless sensor networks (WSNs). His work spans various crucial aspects, including reducing traffic overhead, developing adaptive frameworks for spatial data, and implementing secure trust-based group key generation algorithms. Additionally, he focuses on improving energy efficiency and intrusion detection within WSNs using advanced techniques like fuzzy-based authentication and clustering. Dr. Chelladurai’s contributions significantly impact areas such as networks, cloud computing, machine learning, and cybersecurity, aiming to create more robust and efficient network systems. 🌐🔐📡

 

Publication Top Notes

  • Adaptive Graphical Routing Methodology for Reducing Traffic Overhead in Wireless Sensor Networks 🛤️📡
    • Publication: Signal, Image and Video Processing
    • Year: 2023
    • DOI: 10.1007/s11760-023-02834-2
    • Contributors: C. Sureshkumar, S. Sabena, L. Sai Ramesh
    • Cited by: –
  • Design of an Adaptive Framework with Compressive Sensing for Spatial Data in Wireless Sensor Networks 🖼️🌐
    • Publication: Inventive Computation and Information Technologies
    • Year: 2021Secure Trust-Based Group Key Generation Algorithm for Heterogeneous Mobile Wireless Sensor Networks 🔑📱
    • Contributors: S. Sabena, C. Sureshkumar, L. Sai Ramesh, A. Ayyasamy
  • Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks 🔐🌿
    • Publication: Wireless Personal Communications
    • Year: 2020
    • DOI: 10.1007/s11277-020-07113-8
    • Contributors: C. Sureshkumar, S. Sabena
  • Time of Development and Fitness Analysis of Modified COCOMOII Model for Software Projects 🕒💻
    • Publication: International Journal of Recent Technology and Engineering
    • Year: 2019
    • Contributors: Sivakumar, D., Sureshkumar, C.
  • Diagnosis Prognosis and Prevention of Breast Cancer Based on Present Scenario of Human Life 🎗️👩‍⚕️
    • Publication: Proceedings – 2018 International Conference on Communication, Information and Computing Technology, ICCICT 2018
    • Year: 2018
    • Contributors: Isaac, L.D., Sureshkumar, C.
  • An Efficient Intrusion Detection System for Cyber Attack using Multi-Tier Application 🔍💼
    • Publication: INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT)
    • Year: 2018
    • Contributors: Dr. Sureshkumar C
  • Effort Estimation of Software Projects with Optimized Coefficients using Soft Computing Technique 🧮📊
    • Publication: 2017 Conference on Emerging Devices and Smart Systems, ICEDSS 2017
    • Year: 2017
    • Contributors: Sivakumar, D., Sureshkumar, C.
  • An Optimized Image Denoising in Impulse Noise Images using Firefly-Based Parallel Type 2 Fuzzy Filtering Approaches 📸✨
    • Publication: Journal of Computational and Theoretical Nanoscience
    • Year: 2016
    • Contributors: Revathi, D., Sureshkumar, C.
  • Solution to Uncertainty Using Random Forests for Predicting Mobile User Behavior 📱🔮
    • Publication: Journal of Computational and Theoretical Nanoscience
    • Year: 2016
    • Contributors: K Kandasamy, C Sureshkumar