P. Venkadesh was born in Nagercoil, TamilNadu, India in 1980.He studied Computer Science
& Engineering at C.S.I Institute of Technology, Thovalai ,TamilNadu ,India .He received
Bachelor degree from M.S University, Tirunelveli in 2001.He received his Master degree from
Sathyabama University, Chennai, TamilNadu, India in 2007. He Completed his Ph.D. at Noorul
Islam Centre for Higher Education in 2017 under the area of Network Security. Currently, he is
working as an Assistant Professor in the Department of Computer Science & Engineering at
Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil,
TamilNadu,India. He had published and presented a in National, International
Conferences and also in various referred Journals. His research area includes Network Security,
Image Processing, Wireless Communications and Cloud Computing.
EDUCATION
B.E, M.E, Ph.D
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Artificial Intelligence, Information Systems, Computer Networks and Communications
62
Scopus Publications
233
Scholar Citations
7
Scholar h-index
5
Scholar i10-index
Scopus Publications
Blockchain for Content Authentication and Copyright Protection S. V. Divya, P. Venkadesh, S. Saravanaprabhu, Jelin Taric G., S. Yazhini, et al. Securing AI Generated Media with Blockchain Technologies, 2025 Digital media has provided new frontiers where the challenge to authentication and copyright is unparalleled. The emergence of new solutions for safeguarding intellectual property rights and ensuring authenticity in content becomes necessary. This chapter introduces blockchain integration as a means of authenticating AI-generated content with secure attribution against risks of unlawful duplication or misappropriation and how blockchain-based systems allow verifiable ownership of digital assets through smart contracts that automate licensing, royalty collection, and the tracking of use. This chapter goes deeply into the technical architecture of blockchain applications in digital media, illuminating its capacity to create trust and accountability in this fast-evolving creative ecosystem. Ethical, legal, and scalability considerations discuss the role that blockchain is playing in building a fairer and more transparent digital economy.
Teaching Methods for AI-Driven HR Practices P. Venkadesh, R. Mathusoothana S. Kumar, L. Shalini, S.V. Divya, R. Sukesh Emerging Technologies for Recruitment Strategy and Practice, 2025 Using Artificial Intelligence (AI) in Human Resources (HR) has completely changed HR work. Now, decisions about managing workers are smarter and based on data. AI uses tools like machine learning, predictive analysis, and natural language processing, and these are key for recruitment, keeping employees satisfied, managing talent, and organizational planning. So, how we teach HR professionals also needs to change. This chapter talks about new teaching methods focused on AI in HR. It highlights learning from different areas, hands-on learning, and thinking about ethics. It offers a detailed plan for what should go into teaching materials, the key skills needed, and includes practical tools, real-world examples, and ways to test understanding. The goal is to help teachers and students create and run programs that fit the changing HR field. By doing this, future HR leaders will be well-prepared for a workplace driven by data and digital technology.
Virtual Reality for Interview Simulations P. Venkadesh, S. Ninisha Nels, S.V. Divya, K.V. Shiny, M. Sudhan Emerging Technologies for Recruitment Strategy and Practice, 2025 Virtual Reality (VR) is transforming recruitment by offering immersive, interactive simulations that replicate real job scenarios. Unlike traditional interviews, VR enables recruiters to assess behavioral traits, decision-making, communication, and cultural fit with greater precision. Powered by Artificial Intelligence (AI) and Big Data, VR systems analyze verbal and non-verbal cues to predict job performance, reduce bias, and improve hiring outcomes. Industries such as emergency medicine, software engineering, and retail have successfully adopted VR, resulting in better employee retention and reduced training costs. Gamified and AI-driven environments enhance candidate engagement through avatar-based interactions, real-time feedback, and collaborative problem-solving. VR can simulate high-pressure scenarios to evaluate emotional intelligence, adaptability, and leadership—traits often overlooked in conventional interviews. This Chapter deals with how Virtual Reality helps for Interview simulations in conduction a smooth and efficient interview virtually.
Ethical and regulatory dimensions of integrating AI in nuclear medicine P. Venkadesh, B. Selvapriya, S. V. Divya, C. Berin Jones, S. Keerthana AI Insights on Nuclear Medicine, 2025 The integration of Artificial Intelligence (AI) into nuclear medicine holds the potential to revolutionize both diagnostic and therapeutic approaches. However, this transformative technology brings with it significant ethical and regulatory challenges that require careful attention. Ethical concerns such as patient privacy, data security, algorithmic bias, and the accountability of AI-driven decisions raise critical questions about trust and fairness in healthcare. Additionally, the lack of standardized regulatory framework creates additional hurdles for ensuring the safe and effective implementation of AI systems in clinical practice. By addressing these issues, the chapter aims to provide a roadmap for the responsible development and deployment of AI in nuclear medicine. It advocates for a collaborative approach among technologists, medical professionals, policymakers, and ethicists to ensure that AI enhances patient care while upholding the principles of fairness, accountability, and transparency.
AI in Bioinformatics Unlocking the Secrets of Life P. Venkadesh, S. V. Divya, V. Mathumitha, S. Ninisha Nels, J. Balaji, et al. Role of Artificial Intelligence in Advancing Applied Life Sciences, 2025 Bioinformatics, where Artificial Intelligence (AI) meets biology, as transforming our understanding of life. By combining machine learning algorithm with tools like blast and cluster Omega, scientists are deciphering DNA and predicting protein structure. AI models such as CNN's and RNN's, help analyze DNA sequence, identify genetic variation and predict mutation effects. Alpha fold, developed by deep mind has made groundbreaking strides and protein folding, essential for drug discovery and under disease research. AI platforms like atom wise and benevolent AI accelerate drug discovery by analyzing massive datasets. AI even uses Natural Language Processing (NLP) to process scientific literature, uncovering insights and suggesting result direction. Looking ahead, AI ensures transparency, making advancement more trustworthy. Together, bioinformatics and AI are reshaping feels like personalized medicine and synthetic biology. With endless possibilities the next breakthrough in biology may be just algorithm away, our journey into frontier has only begun.
Improving Sentimental Analysis Through Integration of BERT G. Nithya, P. Venkadesh, S.V. Divya, Adithyamahraj K, Muthualiasranjithkumar S, et al. Proceedings of the 9th International Conference on Inventive Systems and Control Icisc 2025, 2025
MedAi: An AI-Driven Approach to Personalized Healthcare D.S. Jayakumari, P. Venkadesh, S.V. Divya, S Hanush Viswanath, B Karthikeyaan, et al. 2025 8th International Conference on Circuit Power and Computing Technologies Iccpct 2025, 2025
AI-Driven Emotion-Aware Learning with Cross-Modal Fusion R. Murugadoss, P. Venkadesh, S.V. Divya, K. Sowmithra, K. Abinaya, et al. 2025 8th International Conference on Circuit Power and Computing Technologies Iccpct 2025, 2025
RECENT SCHOLAR PUBLICATIONS
Natural Disaster and Environment Restoration SV Divya, P Venkadesh, TA Krithika, S Ramya, NO Maheswari Natural Disasters, the Environment, and Technological Pathways to … , 2026 2026
AI TECHNIQUES FOR AIR AND WATER POLLUTION MONITORING ARRS Dr.P.Venkadesh, Dr.S.V.Divya International Journal Research Publication Analysis 2 (01), 1-14 , 2026 2026
Precision Agriculture and Resource Optimization Using Artificial Intelligence Techniques P Venkadesh, SV Divya, PD Kumar, A Kaviya Revolutionizing Sustainable Food Production With Quantum Computing, 79-110 , 2026 2026
Blockchain for Content Authentication and Copyright Protection SV Divya, P Venkadesh, S Saravanaprabhu, S Yazhini, MS Antolin Securing AI-Generated Media With Blockchain Technologies, 67-98 , 2026 2026
Virtual Reality for Interview Simulations P Venkadesh, SN Nels, SV Divya, KV Shiny, M Sudhan Emerging Technologies for Recruitment Strategy and Practice, 179-210 , 2026 2026
Teaching Methods for AI-Driven HR Practices P Venkadesh, RMS Kumar, L Shalini, SV Divya, R Sukesh Emerging Technologies for Recruitment Strategy and Practice, 113-146 , 2026 2026
GenNav-AI Enhanced Autonomous Vehicle Safety Using Generative Models P Venkadesh, SV Divya, K Kasthuri, RM Madhushree, M Aishwarya 2025 International Conference on Computational Innovations and Sustainable … , 2025 2025
A Temporal-Aware Dynamic Graph Neural Network for Learning Evolving Graph Representations SR Venkadesh P. , Divya S.V. IRO Journal on Sustainable Wireless Systems 7 (4), 276-288 , 2025 2025
LEGAL STATUS AND LIABILITY OF DATA BROKERS AND THIRD-PARTY DATA PROCESSORS SG S.V.Divya, P.Venkadesh, M.Pandeeshwari International Journal Research Publication Analysis 1 (01, ISSN 2456-9995 … , 2025 2025
INTELLIGENT COGNITIVE FRAMEWORKS IN PRECISION AGRICULTURE FOR SUSTAINABLE CROP MANAGEMENT TA Dr.P.Venkadesh, Dr.S.V.Divya International Journal Research Publication Analysis 1 (01), 1-10 , 2025 2025
Intelligent IoT based Car Parking Assistance System using Sensors and Arduino by Integrating with MobileApp SV Divya, B Selvapriya, P Venkadesh, J Balaji, K RM 2025 9th International Conference on Electronics, Communication and … , 2025 2025
Leveraging Optimized BiLSTM and XGBoost for Early Detection SV Divya, P Venkadesh, M Rajalakshmi, CB Jones, S Yazhini, MS Antolin Smart Data Intelligence: Proceedings of ICSMDI 2025, 351 , 2025 2025
Deepfake Voice Attacks: Detection Frameworks, Adversarial Robustness, And Ethical Implications KR S. V.Divya, P.Venkadesh International Journal of Mathematics and Computer Research 13 (10), 5711-5716 , 2025 2025
IoT-Based Water Usage Tracking and Automated Tax Computation (WUTATCS) System T Hemalatha, SV Divya, P Venkadesh, D Dharnesh, R Jesvin, ... 2025 9th International Conference on Inventive Systems and Control (ICISC … , 2025 2025
Improving Sentimental Analysis Through Integration of BERT G Nithya, P Venkadesh, SV Divya 2025 9th International Conference on Inventive Systems and Control (ICISC … , 2025 2025
A Hybrid CNN-ViT and GAN (HCVGAN) Model for Cocoa Leaf Disease Prediction SV Divya, P Venkadesh, D Saravanaprabhu, S Roshini, G Vasunthraa, ... 2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025 2025
Multi Modal Deep Learning Framework for Malpractice Detection in Virtual Exams Using YOLOV5 G Nithya, P Venkadesh, SV Divya, DP Daniel, V Praveenkumar, ... 2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025 2025 Citations: 2
Blockchain Technology for Authentic Product Identification in the Medical and Pharmaceutical Sector Using QR code and NFT (QR-NFT) D Jeevitha, P Venkadesh, GJ Bharathi, N Subhashini, G Gowsalya, ... 2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025 2025
Enhancing Algorithm Learning Through LLM-Based Leetcode Solution Visualization F Theophilus, P Venkadesh, SV Divya, L Sanjay, S Chandru, S Praveen 2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025 2025 Citations: 1
Deep Learning Based-Brain Stroke Detection System on CT Images using CNN and Federated Learning (CNN-FL) P Venkadesh, SV Divya, LS Karunya, M Dhanushya, MM Hirin 2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
Review of cyber attack detection: Honeypot system MR Amal, P Venkadesh Webology 19 (1), 5497-5514 , 2022 2022 Citations: 40
Unlocking AI Creativity: A Multi-Agent Approach with CrewAI KSK Dr. P. Venkadesh, Dr. S. V. Divya Journal of Trends in Computer Science and Smart Technology 6 (4), 338-356 , 2024 2024 Citations: 32
Predicting natural disasters with AI and machine learning P Venkadesh, SV Divya, P Marymariyal, S Keerthana Utilizing AI and machine learning for natural disaster management, 39-64 , 2024 2024 Citations: 31
H-DOCTOR: Honeypot based firewall tuning for attack prevention MR Amal, P Venkadesh Measurement: Sensors 25, 100664 , 2023 2023 Citations: 29
Taylor–monarch butterfly optimization-based support vector machine for acute lymphoblastic leukemia classification with blood smear microscopic images GM Bai, P Venkadesh Journal of Mechanics in Medicine and Biology 21 (06), 2150041 , 2021 2021 Citations: 12
Classifying and Predicting Covid-19 during pregnancy using RNN and ML Techniques SV Divya, P Venkadesh, KV Shiny, SN Nels, A Prasanth 2024 International Conference on Social and Sustainable Innovations in … , 2024 2024 Citations: 9
Techniques to enhance security in SCTP for multi-homed networks P Venkadesh, JPM Dhas, SV Divya 2015 Global Conference on Communication Technologies (GCCT), 468-473 , 2015 2015 Citations: 9
Optimized Deep Neuro-Fuzzy Network with MapReduce Architecture for Acute Lymphoblastic Leukemia Classification and Severity Analysis GM Bai, P Venkadesh International Journal of Image and Graphics 24 (03), 2450028 , 2024 2024 Citations: 6
Cyber security unveiled: Trends and protections in the digital world M Haripriya, J Aleena, P Venkadesh International Journal Of Scientific Research In Engineering And Management 7 … , 2023 2023 Citations: 6
Spoofing free fingerprint image enhancement HM Khan, P Venkadesh International Journal of Information Technology 15 (1), 477-485 , 2023 2023 Citations: 5
A Framework Model for Secure Key Management and Hidden Digital Signature Method to Enhance Security in SCTP SVD P.Venkadesh,Dr.Julia Punitha Malar Dhas Archives Des Sciences 66 (5), 236-247 , 2013 2013 Citations: 5
Aegis AI - Intelligent Cyber Resilience R. Sukesh , Dr. P. Venkadesh International Journal of Scientific Research in Engineering and Management 9 … , 2025 2025 Citations: 4
Fingerprint denoising using iterative rule-based filter HM Khan, P Venkadesh Arabian Journal for Science and Engineering 47 (8), 10187-10201 , 2022 2022 Citations: 4
An Efficient Data Storage and Forwarding Mechanism Using Fragmentation-Replication and DADR Protocol for Enhancing the Security in Cloud SV Divya, RS Shaji, P Venkadesh Journal of Computational and Theoretical Nanoscience 15 (1), 111-120 , 2018 2018 Citations: 4
Smart Dustbin Using ESP32 for Waste Management P Venkadesh, D Divya, N Vishal International Research Journal of Innovations in Engineering and Technology … , 2025 2025 Citations: 3
SignChatAI-Generative AI for deaf-and-mute community using Indian Sign Language (ISL) P Venkadesh, GJ Taric, PM Mariyal, SV Divya, S Danumithra, ... 2024 International Conference on Computing and Intelligent Reality … , 2024 2024 Citations: 3
A combined data storage with encryption and keyword based data retrieval using SCDS-TM model in cloud SV Divya, RS Shaji, P Venkadesh Malaysian Journal of Computer Science 32 (3), 163-185 , 2019 2019 Citations: 3
Multi Modal Deep Learning Framework for Malpractice Detection in Virtual Exams Using YOLOV5 G Nithya, P Venkadesh, SV Divya, DP Daniel, V Praveenkumar, ... 2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025 2025 Citations: 2
An Integrated XGBRF Framework for Early Identification of Parkinson’s Disease SV Divya, P Venkadesh, RJ Pavithra, A MR 2024 International Conference on Emerging Research in Computational Science … , 2024 2024 Citations: 2
Hybrid H-DOC: A bait for analyzing cyber attacker behavior MR Amal, P Venkadesh International journal of electrical and computer engineering systems 14 (1 … , 2023 2023 Citations: 2