Tufan Saha

Assistant Professor

[email protected]

Vidwan Profile Google Scholar

Academic Information

Ph.D (Enrolled), UEM, 2022

Research Areas

Internet of Things (IoT) and Smart Systems Artificial Intelligence and Machine Learning Digital Twin Technologies Explainable AI and Trustworthy Systems Digital VLSI Prototyping

Research Interests

My research interests focus on designing intelligent, scalable, and trustworthy digital systems through the integration of Artificial Intelligence with IoT, Digital Twin, and XR technologies. I work on data-driven modeling, simulation-based analytics, explainable and ethical AI, and adaptive learning systems capable of functioning with incomplete or imbalanced data. I also pursue Digital VLSI prototyping using FPGA platforms for AI-enabled and low-power computing applications. My application domains include smart infrastructure, healthcare systems, industrial monitoring, and cyber-physical systems, with emphasis on real-time decision support, privacy preservation, and deployment across cloud, edge, and hardware-accelerated environments.

Courses Taught

Internet of Things, Digital Electronics, Analog Electronics, Signals and Systems, Information and Coding Theory, Computer Architecture, Computer Organization, Microprocessor and Microcontrollers, Cyber Law and Ethics, Cyber Security, Python Programming, VHDL Programming, Principles of Management, Project Management, Organizational Behaviour

Positions Held

Assistant Controller of Examinations

Publications

Enhancing Healthcare Image Security with DNA Cryptography in the IOT Environment;
Taxonomic delineation of musical genres through computational paradigms: an exploration employing the k-nearest neighbors (kNN) algorithm;
Comparative Performance Analysis of Security Encryption Algorithms; An Innovative Method for DNA Cryptography-Based Digital Signature Verification;
ANALYSIS OF DNA CRYPTOGRAPHY'S IMPROVEMENTS FOR THE MODELING OF SECURED CORPUS;
Fuzzy-Based Clustering Toward Improving the Lifespan of Wireless Sensor Networks;
Selective detection of multiple VOCs employing zinc oxide nanorods and principle component;
Multi-Arc Processor—Harnessing Pseudo-concurrent Multiple Instruction Set Architecture (ISA) Over a Single Hardware Platform;
Remote sensing and Advanced Encryption Standard using 256-Bit key;
Automated Bio-Geographical Alert System-For Communicable Diseases;