Academic Profile
I am a Research Scholar (UGC-NET SRF) in Computer and System Sciences at Visva-Bharati University, working on secure and scalable Edge AI systems for distributed IoT environments. My research lies at the intersection of intelligent systems, distributed computing, and applied security, with a focus on designing, deploying, and securing real-time AI pipelines from edge devices to cloud infrastructure. I study Edge Computing architectures for low-latency intelligence, develop adaptive Edge AI models (including TinyML and on-device learning), and apply Machine Learning techniques for optimization and lifecycle management. My work also extends to containerized, cloud-native orchestration using Docker–Kubernetes for scalable deployment, alongside applied cryptographic mechanisms to ensure secure communication, identity management, and data protection across IoT–Edge–Cloud ecosystems. Through research, teaching, and laboratory mentorship, I aim to bridge theoretical foundations with production-ready systems, fostering interdisciplinary collaboration and resilient, scalable system design.
intelligence → optimization → scaling → automation → trust
Academic & Professional Journey
- 2012 – Madhyamik, WBBSE (Bankura Goenka Vidyalaya)
- 2012–2014 – Higher Secondary, WBCHSE (Bankura Goenka Vidyalaya)
- 2014–2017 – B.Sc (Hons) Computer Science, Burdwan University
- 2017–2019 – M.Sc Computer Science, Visva-Bharati University
- 🎓 2020 – Qualified UGC-NET Lectureship Only (Computer Science)
- 🏅 2021 – Qualified UGC-NET with JRF Awards (Computer Science)
- 2022–2024 – Junior Research Fellow, Visva-Bharati University
- 2024–Present – Senior Research Fellow, Visva-Bharati University
Research Interests
Academic & Technical Expertise
- Programming: C, C++, Java, Python
- Full Stack Web Application Development
- Data Structures & Algorithms
- Machine Learning & Model Optimization
- Edge AI & TinyML (On-Device Learning, Adaptive Inference)
- IoT Systems (ESP32, Raspberry Pi – Real-World Deployments)
- Distributed Systems & Edge Computing
- Containerization & Kubernetes Clusters
- Cloud Computing & Private Cloud
- Applied Cryptography & Secure Communication Protocols
- Scientific Computing: NumPy, Pandas, Matplotlib, Scikit-learn
- Technical Writing: LaTeX, MS Office Suite
Industry Certifications & Courses
- Linux Administration
- Docker & Kubernetes
- Google Cloud Platform (GCP)
- Docker for Machine Learning
- Real World IOT Project with ESP32
Scholarly Contributions
Conference Publications (Scopus Indexed)
- Scalability Evaluation on Zero Downtime Deployment in Kubernetes Cluster — IEEE CALCON 2024
- Optimizing the Efficiency of Computational Platforms: Traditional vs. Containerized Setups — IEEE ISACC 2025
Conference Presentations
- ICICS 2024, Burdwan University (06 Dec 2024)
- IEEE CALCON 2024, Jadavpur University (14–15 Dec 2024)
- ISACC 2025, Assam University (27–28 Feb 2025)
Preprints
- Hybrid Resilience (H/R) Testing Model: AI-Driven Zero Downtime Deployment for Kubernetes (2025)
- Lightweight Session-Key Rekeying Framework for Secure IoT-Edge Communication — arXiv:2511.02924
Research Datasets (IEEE DataPort)
- PSK Baseline Encrypted–Decrypted IoT–Edge Dataset (2025)
- DSEKP Encrypted–Decrypted IoT–Edge Dataset (2025)
Science & Technology Congress
- 6th Regional Science & Technology Congress (2023–24)
Workshops / FDP
- AI & HPC in Healthcare — Visva-Bharati University & IIT Kharagpur (NSM), Feb 2025
Scholarly & Professional Profiles
Contact & Personal Details
Email: haranathrakshit@gmail.com
Telegram: t.me/HaranathRakshit
Gravatar: Gravatar
Address: Santiniketan – 731235, West Bengal, India
Languages: Bengali, English, Hindi