Dr. T. Rajan
Lecturer – Department of Computing & Engineering
Ph.D. (Pursuing), M.E & B.E in Computer Science and Engineering
Work experience:
Lecturer, Department of Computing & Engineering, University of West London (RAK Campus, UAE)
Former Assistant Professor at Presidency University, MVJ College of Engineering (Bangalore), and Al-Ameen Engineering College (Autonomous), Erode, India.
Over 10 years of teaching experience in Data Science, Machine Learning, Blockchain Technology, Big Data Analytics, and Theory of Computation.
Research Focus:
Dr. Rajan holds a Ph.D. in Computational Complexity Theory from Presidency University,
Bengaluru, with his thesis — "Solving Sudoku: An In-Depth Examination of Computational
Complexity Theory and Exact Solution Methods" — emphasizing the NP-Hard and NP-Complete
problems within Theory of Computation. His work explores algorithmic efficiency, problem
reducibility, and optimization strategies for solving computationally intractable problems. The
research contributes to the fields of Artificial Intelligence, Logic-based Problem Solving, and
Optimization Algorithms.
Areas of Expertise:
- Computational Complexity & Theory of Computation
- Data Science & Analytics
- Big Data Technologies
- Machine Learning & Artificial Intelligence
- Blockchain Analytics & Cybersecurity
- Quantum Computing (IBM Quantum Composer, Qiskit, PennyLane, Cirq)
- Computational Optimization & Data Visualization Techniques using Power BI, R (gganimate, plotly), and Tableau
Expert Speaker — Sessions / Workshops / FDPs Delivered:
Dr. Rajan has delivered 75+ expert sessions, hands-on workshops, and faculty development
programs across leading universities and engineering institutions in India, the UAE, the UK, and
the USA — including an international speaking engagement at Messiah University, USA.
His interactive sessions have covered cutting-edge topics including:
- Computational Complexity (NP-Hard & NP-Complete Problems)
- Data Visualization
- Power BI
- R Programming
- Machine Learning
- Blockchain Security
- Big Data Analytics
These sessions have empowered both faculty and students with practical, research-oriented insights.
Publications & Authorships
Authored six books including:
- Theory of Computation
- Mastering Computational Complexity with R
- R for Data Science
- Computational Complexity Theory
- Formal Languages and Automata Theory
- Automata Theory
- Theory of Computation (2018 & 2019)
Published peer-reviewed research papers in computational complexity theory, real-time
anomaly detection using multi-modal machine learning, explainable AI for NP-hard problem
analysis, and predictive analytics for Industry 4.0 using AI, and presented research at
international conferences including DASGRI-2026, hosted by the School of Computing,
Goldsmiths, University of London, UK.