Harish Kumar Rachuri

Dr. Harish Kumar Rachuri is a Faculty Associate at the Bajaj Engineering Skills Training (BEST) Centre, Mahindra University, with over 8 years of experience in IoT, Embedded Systems, Industrial IoT (IIoT), and Edge Computing. He holds a Ph.D. in IoT and Edge Computing and an M.Tech. in Embedded Systems from Anurag Group of Institutions.

His professional experience spans IoT application development, embedded product design, industrial automation, edge computing, and technical training. He has trained over 10,000 learners and more than 1,000 corporate professionals, developed IoT-based solutions for real-world applications, and contributed to establishing IoT and embedded systems laboratories across engineering institutions.

His research focuses on Edge Computing, configurable edge gateways, energy-efficient IoT architectures, and real-time data processing. His research includes designing edge computing architectures for healthcare applications to enable faster clinical decision-making, reduce communication overhead, and improve system efficiency. He also researches industrial vibration monitoring and sensor-fusion-based dissolved oxygen estimation for shrimp aquaculture. He received the Best Paper Award at IFIP IoT 2025 for his research on dissolved oxygen estimation. His goal is to address real-world challenges through interdisciplinary research, practical technology development, and industry-oriented training.

• Ph.D. in Internet of Things and Edge AI | Mahindra University | 2020–2026
• M.Tech. in Embedded Systems | Anurag Group of Institutions | 2015–2017
• B.Tech. in Electronics and Communication Engineering (ECE) | Keshav Memorial Institute of Technology | 2012–2015

Journals:

• R. H. Kumar and B. Rajaram, “Design and Simulation of an Edge Compute Architecture for IoT-Based Clinical Decision Support System,” IEEE Access, vol. 12, pp. 45456–45474, 2024, doi: 10.1109/ACCESS.2024.3380906.
• R. H. Kumar and B. Rajaram, “CoMIEC: Configurable MQTT-Based IoT Edge Computing Framework for Latency Power Trade-Off”, S¯adhan¯a Published by the Indian Academy of Sciences.
• R. H. Kumar, D. Haripriya, and S. Murikipudi, “Integrated Biometric Attendance and Informative System using Cloud,” International Journal of Pure and Applied Mathematics, vol. 118, no. 20, 2018.

Conference:

• H. K. Rachuri and B. Rajaram, “Edge-Based IoT Architecture for Vibration Analysis”, 2024 2nd International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles (ICPEEV), Hyderabad, India, 2024, pp. 1–6, doi: 10.1109/ICPEEV63032.2024.10932023.
• H. K. Rachuri and B. Rajaram, “CigEst: A Machine Learning-Based Wearable Device for Monitoring Smoking Habit”, 5th EAI International Conference on Wearables in Healthcare, Isparta, Turkey, 2024.
• H. K. Rachuri, B. Gandham and B. Rajaram, “Design and Implementation of a DDS-Enabled Edge IoT System for Smart Buildings”,2nd International Symposium on Parallel Computing and Distributed Systems, Singapore, 2025.
• H. K. Rachuri and B. Rajaram, “IoT-Based Dissolved Oxygen Estimation using Sensor Fusion for Shrimp Aquaculture”, 8th IFIP International Internet of Things (IoT) Conference, Hyderabad, India, 2025.

Patents:

CIGEST: Smoking Detection Using Edge AI — Indian Patent Application No. 202541117747, Filed, 2025. An embedded AI-based system for real-time detection of cigarette smoke in indoor environments.

• August 2026 – Present, Faculty Associate, BEST, Mahindra University
• June 2017– June 2020  IoT & Embedded Developer, SmartBridge Educational Services Pvt. Ltd., Hyderabad

His research focuses on Internet of Things (IoT), Edge Computing, Edge AI, Embedded Systems, Industrial 5.0, Artificial Intelligence of Things (AIoT), and Cybersecurity, with an emphasis on developing configurable, energy-efficient, and secure edge computing architectures.

He is particularly interested in interdisciplinary research that addresses real-world challenges through intelligent sensor systems, sensor fusion, machine learning, and edge-based analytics. His broader research interests include industrial automation, smart healthcare, smart buildings, precision aquaculture, IoT communication protocols, and cybersecurity, with a focus on translating research into practical applications.