Jnana Ramakrishna Chodisetti | Cybersecurity | Best Researcher Award

Published on by NESIN Awards

Jnana Ramakrishna Chodisetti | Cybersecurity | Best Researcher Award

Jnana Ramakrishna Chodisetti, Tata Consultancy Services, India

Jnana Ramakrishna Chodisetti is a Cybersecurity Engineer at Tata Consultancy Services, specializing in malware analysis, threat hunting, and incident response. He holds a Bachelor of Technology in Electronics and Communication Engineering from Amrita School of Engineering, Bengaluru, where he graduated with First Class honors. Jnana’s expertise spans digital forensics, cryptography, and machine learning, with significant contributions to image encryption and malicious URL detection. His research includes developing advanced encryption algorithms and analyzing lightweight cryptographic methods for IoT. He has also gained practical experience through internships and research roles, and actively participates in cybersecurity competitions and organizations.

Publication profile

ORCID

Education

Jnana Ramakrishna Chodisetti earned his Bachelor of Technology in Electronics and Communication Engineering from Amrita School of Engineering, Bengaluru, India, graduating in 2023 with First Class honors and a CGPA of 7.71 on a 10.0 scale. His academic coursework covered a broad range of subjects including Computer Networks, Calculus, Probability and Random Processes, Linear Algebra, Matrix Algebra, Computer Programming, and Data Structures and Algorithms.

Experience

Jnana began his professional career as a Cybersecurity Engineer at Tata Consultancy Services in Chennai, India, starting in August 2023. In this role, he works within the DFIR – Threat Hunting unit, focusing on Malware Analysis, Threat Hunting, and Incident Response, utilizing tools such as Splunk, QRadar, and Sentinel. Prior to this, he completed an internship as a Blue Teaming Trainee with Virtual Cyber Labs, where he gained practical knowledge in threat detection and research. He also served as a Research Intern at TIFAC-CORE in Cybersecurity, Amrita Vishwa Vidyapeetham, where he worked on image encryption schemes and cryptanalysis, proposing innovative methods using Elliptic Curve Cryptography.

Research focus

Jnana’s research has primarily concentrated on advancing cybersecurity and encryption technologies. His work includes developing novel image encryption algorithms using a 3D Logistic Map and an improved Chirikov Map, as well as analyzing lightweight cryptographic algorithms for IoT environments. Additionally, his research explores efficient authenticated encryption schemes based on Elliptic Curve Cryptography, aimed at enhancing both security and authentication for digital images.

Publication top notes

Ashfaq Ahmad Najar | Cybersecurity | Best Researcher Award

Published on by NESIN Awards

Mr. Ashfaq Ahmad Najar | Cybersecurity | Best Researcher Award

Assistant Professor VIT Bhopal University, Madhya Pradesh India

👨‍💻 Ashfaq Ahmad Najar is an accomplished IT professional and academic, currently serving as an IT Manager and Faculty at VIT Bhopal University, Madhya Pradesh. With a rich background in cyber security, machine learning, and deep learning, he has made significant contributions to the field through his research and publications. Ashfaq is dedicated to advancing knowledge in cybersecurity and has presented his work at various national and international platforms.

 

Profile

Google Scholar

Education

🎓 Ashfaq Ahmad Najar is nearing the completion of his Ph.D. in Computer Science from the Central University of Kerala, having submitted his thesis. He holds a Master’s degree in Information Technology from the Central University of Kashmir and a Bachelor’s degree in Information Technology from the University of Kashmir. His early education was completed at the J&K State Board of School Education.

Experience

💼 Ashfaq has a robust professional background, currently holding the position of IT Manager and Faculty at VIT Bhopal University. He has previously worked as an IT Manager Head and Tutor at KCCSBA Bijbehera, Anantnag, and as a Guest Faculty at Govt Boys Degree College Anantnag. His experience is complemented by his active participation in various workshops, seminars, and hackathons.

Research Interest

🔍 Ashfaq’s research interests are focused on Cyber Security, specifically Distributed Denial of Service (DDoS) attacks, as well as Machine Learning and Deep Learning. His work aims to develop robust systems to detect and mitigate cyber threats, leveraging advanced neural network architectures and machine learning algorithms.

Awards

🏆 Ashfaq has received several accolades, including the UGC-NET 2023 qualification, the GATE 2018 qualification, and the CUK University Fellowship for his Ph.D. research. He was also honored with the Young Researcher Award for his work on DDoS attack detection using MLP and random forest algorithms, and recognized as the best all-rounder in a cricket tournament organized by the Central University of Kerala.

Publications Top Notes

📝 Ashfaq Ahmad Najar has published numerous research articles in prestigious journals. Some of his notable works include:

A novel CNN-based approach for detection and classification of DDoS attacks. Concurrency Computat Pract Exper, 2024, Wiley. Cited by 4 articles

A robust DDoS intrusion detection system using convolutional neural network. Computers and Electrical Engineering, 2024, Elsevier. Cited by 8 articles

Cyber-secure SDN: A CNN-based approach for efficient detection and mitigation of DDoS attacks. Computers & Security, 2024, Elsevier. Cited by 6 articles

DDoS attack detection and mitigation using deep neural network in SDN environment. Computers & Security, 2024, Elsevier. Cited by 3 articles

DDoS attack detection using MLP and random forest algorithms. International Journal of Information Technology, 2022, Springer. Cited by 5 articles

 

Sundararaj S Iyengar | Cyber Security | Best Researcher Award

Published on by NESIN Awards

🌟Dr. Sundararaj S Iyengar, Cyber Security, Best Researcher Award🏆

 Doctorate at Florida International University, United States

Sitharama S. Iyengar is a distinguished academic and researcher, known for his expertise in Artificial Intelligence, Digital Forensics, Computational Medicine, and Distributed Sensor Networks. With a background spanning prestigious institutions like Mississippi State University and the Indian Institute of Science, Bangalore, he has contributed significantly to both academia and industry. Currently holding positions at Florida International University and National Forensics Sciences University in India, Iyengar’s work has garnered international recognition, shaping the landscape of modern computer science.

Author Metrics

Google Scholar Profile

Iyengar’s prolific career is reflected in his author metrics, showcasing a substantial body of research output. His publications span top-tier journals and conferences, demonstrating his impact on the field. With a high h-index and citation count, he is regarded as a leading authority in his areas of expertise, influencing researchers worldwide.

Citations: With 22,520 citations since 2019, Iyengar’s work has garnered substantial attention and recognition within the academic community. This indicates the relevance and influence of his research contributions in various fields.

h-index: His h-index stands at 67, reflecting the number of papers (67) that have each received at least 67 citations. This metric demonstrates both the quantity and impact of his research output since 2019.

i10-index: Iyengar’s i10-index, which measures the number of publications with at least 10 citations, is 320. This indicates the breadth and depth of his scholarly work, with a significant number of publications making notable contributions to the academic literature.

Education

Iyengar holds a diverse educational background, including a Ph.D. from Mississippi State University, DSc. (Hon.) from Siddhartha University and Poznan University of Technology, and ME and BE degrees from prestigious institutions in India. His interdisciplinary education laid the foundation for his multifaceted research interests and contributions.

Research Focus

Iyengar’s research interests encompass a wide array of topics, with a primary focus on Artificial Intelligence, Machine Learning, Digital Forensics, Computational Medicine, Bioinformatics, and Distributed Sensor Networks. His work addresses critical challenges in these fields, aiming to advance technology for societal benefit and security.

Professional Journey

Throughout his career, Iyengar has held prominent positions in academia and industry. From his early academic endeavors to serving as a distinguished university professor and director of research centers, he has demonstrated leadership and excellence in various roles. His journey includes extensive collaboration with institutions and organizations globally, furthering research and innovation.

Honors & Awards

Iyengar’s contributions have earned him numerous honors and awards, recognizing his exceptional achievements in research, education, and leadership. From prestigious fellowships to distinguished professorships, his accolades underscore his impact and influence in the academic community.

Publications Noted & Contributions

Iyengar’s publications are notable for their depth and breadth, covering seminal topics in computer science and related disciplines. His contributions range from foundational research papers to editorials and guest editorships in leading journals. Through his publications, Iyengar has disseminated knowledge and insights, shaping the discourse in his areas of expertise.

“Enhancing federated learning robustness through randomization and mixture”

  • Authors: S Nabavirazavi, R Taheri, SS Iyengar
  • Published in Future Generation Computer Systems in 2024
  • This paper explores methods to enhance the robustness of federated learning through randomization and mixture techniques, contributing to the advancement of distributed machine learning algorithms.

“CNN Ensemble for Video Source Camera Forensics”

  • Authors: M Veksler, R Aygun, K Akkaya, S Iyengar
  • Published in IEEE MultiMedia in 2024
  • The paper presents a Convolutional Neural Network (CNN) ensemble approach for video source camera forensics, offering insights and techniques for video authentication and identification.

“Thyroxine Levels Predict the Development of Brain Failure in Patients With Cirrhosis in Indian Population”

  • Authors: AV Kulkarni, M Vora, R Ramagundam, M Sharma, DN Reddy, PN Rao, …
  • Published in Gastro Hep Advances in 2024
  • This study investigates the predictive value of thyroxine levels in determining the development of brain failure in cirrhotic patients within the Indian population, contributing to medical research and patient care.

“Model Poisoning Attack Against Federated Learning with Adaptive Aggregation”

  • Authors: S Nabavirazavi, R Taheri, M Ghahremani, SS Iyengar
  • Published in Adversarial Multimedia Forensics in 2023
  • The paper presents a model poisoning attack against federated learning with adaptive aggregation, highlighting vulnerabilities in distributed machine learning systems and proposing strategies for defense.

“Lightweight Malicious Packet Classifier for IoT Networks Check for updates”

  • Authors: S Nabavirazavi, SS Iyengar, NK Chaudhary
  • Published in Information Security, Privacy and Digital Forensics: Select Proceedings of … in 2023
  • This work introduces a lightweight malicious packet classifier for Internet of Things (IoT) networks, addressing security challenges in IoT device communication and network traffic analysis.

Research Timeline

Iyengar’s research timeline illustrates a trajectory marked by continuous innovation and scholarly contributions. Spanning several decades, his work has evolved in response to emerging challenges and opportunities in technology and society. From foundational research to applied solutions, each phase reflects his commitment to advancing knowledge and addressing real-world problems.

Collaborations and Projects

Iyengar’s collaborative efforts and involvement in diverse projects underscore the interdisciplinary nature of his work. From academic collaborations with universities worldwide to industry partnerships and startup ventures, he has leveraged collective expertise to tackle complex challenges. Through collaborative projects, Iyengar has fostered innovation and contributed to the development of cutting-edge technologies.