Dr. Antony Pradeesh

Assistant Professor and Innovation Manager with 8 years of experience in IoT and AI. Notable for developing over 200+ IoT prototypes, guiding teams in SIH competitions, and completing a PhD in Electronics focused on IoT and Deep Learning-based Smart Healthcare. Skilled in mentoring students, securing funding for innovative projects, and fostering entrepreneurship. Experienced in public speaking and academic research, with a commitment to inspiring future innovators.

• Mentored two NewGen IEDC projects worth ₹5 lakhs, funded by DST, Govt. of India, and managed two TNSCST government projects, including "AI-based Personal Assistant for Blind People" and "Human-Elephant Conflict Prevention using AI."
• Secured 14 Indian patent publications including Indian design grant, showcasing expertise in IoT and AI-driven innovations.
• Served as a mentor for national-level competitions, including Smart India Hackathon (SIH) 2023 and 2024 Hardware editions and Google Developer Student Clubs (GDSC).
• Published 7 Scopus-indexed journals in IoT and ML, including IEEE publications.
• Recognized with "Excellent Faculty" and "Best Faculty for Patent Publications" awards for outstanding contributions to academia and research.

Patent Drafting for Beginners (NPTEL-AICTE)

• D. Antony Pradeesh, N. P. Subiramaniyam, "IoT-Enabled Smart Health Monitoring System with Deep Learning Models for Anomaly Detection and Predictive Health Risk Analytics Integrated with LoRa Technology," International Journal of Engineering Trends and Technology, vol. 73, no. 1, pp. 14-46, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I1P102.
• Antony Pradeesh D, Subiramaniyam, N. P. "INTEGRATING ADVANCED CONVOLUTIONAL NEURAL NETWORKS AND IOT IN HEALTH MONITORING: A NOVEL APPROACH TO REAL-TIME HEALTH ANOMALY DETECTION AND RISK STRATIFICATION THROUGH MULTI-SENSOR DATA ANALYSIS." Journal of Theoretical and Applied Information Technology 102, no. 6 (2024).
• Antony Pradeesh D, Subiramaniyam, N. P. "Enhanced Real-Time Analysis and Anomaly Detection in Smart Health Monitoring Systems through Integration of Deep Learning Algorithm with IoT-Edge Computing." In 2024 International Conference on Computing and Data Science (ICCDS), pp. 1-6. IEEE, 2024.
• Pradeesh, D. Antony, Y. Syamala, P. Priya, Madhavi Sripathi, and Srilakshmi Kaza. "Advanced Interoperable Framework for Real-Time Predictive Analysis Leveraging Machine Learning and IoT in Smart Health Monitoring Systems." In 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET), pp. 1-6. IEEE, 2023.
• Anandh, B. A., and D. Antony Pradeesh. "EC-MAC Protocol for Energy Harvesting Wireless Sensor Networks." In Proceedings of Fourth International Conference on Communication, Computing and Electronics Systems: ICCCES 2022, pp. 955-967. Singapore: Springer Nature Singapore, 2023.
• Pradeesh, D. Antony, and N. P. Subiramaniyam. "MC-LMAC PROTOCOL FOR ENERGY HARVESTING WIRELESS SENSOR NETWORKS" Interdisciplinary Research Innovations in Science and Humanities: 139.

• A Method and System for ECG-Based Cardiac Disease Detection Using Machine Learning - 202541014052
  
• IoT-Enabled Automated Machine Learning System for Early Detection of Heart Diseases - 202341047938
  
• An Internet of Things and Machine Learning based COPD Patients’ Health Monitoring System - 202341047939
  
• Detection and Indication of Spotting and Bleeding in Autistic Women during the Menstrual Cycle using a Wearable Device - 202341041355
  
• Enhancing Elderly Care with Machine Learning-Based Fall Detection Systems - 202341022421
  
• An Internet of Things (IoT) Based Indoor Air Quality Monitoring and Control System - 202241006541
  
• An IoT based Algae Growth Monitoring System - 202141061644
  
• Automatic Hand Sanitizer Dispenser with Contactless Temperature Measurement - 202041054792
  
• Registration of Design no.: 418671-001
• 6 Indian Patents are filed and in the publication process.