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Dr. T. Ramraj

Assistant Professor(Selection Grade), Department of Computer Science and Engineering, School of Computing, Coimbatore

Qualification: M.E, Ph.D
Research Interest: Graph Isomorphism and Spectral Graph Matching (Specifically finding tractable solutions for application oriented Graph Isomorphism Problems), Near-Isomorphic Graphs in Mathematical subspaces, Complex Network Node Analysis and understanding their governing dynamics, Graph based Machine learning approaches


He currently serves as a faculty member in the Department of Computer Science and Engineering at Amrita School of Computing. His research interests encompass various areas, such as Graph Quantization aimed at solving Graph Isomorphism problems within specific application domains, Complex Network Analysis, Mathematical Modeling for Graph Quantization, Combinatorial Algorithmic Complexities, and Machine Learning for Graph Mining and Large Scale Data Analysis. Dr. Ramraj is known for his dedication to teaching and is also a GATE trainer (South India- Level) and a Placement trainer. He enjoys teaching a diverse range of subjects, including Design and Analysis of Algorithms, Formal Languages and Automata Theory, Graph Theory, Database Technologies, Machine Learning, Data Science, Discrete Structures, Unix Internals, and various programming paradigms such as imperative (C, Java, Python), object-oriented (C++), functional (Haskell, Scala), and scripting (bash).

Dr. Ramraj has received numerous awards and honors for his academic contributions and has served as a reviewer for a few reputed journals. Prior to joining Amrita- Coimbatore campus, he held a faculty position a faculty position in the Department of CSE at Coimbatore Institute of Technology between 2007 and 2023. Between 2005 and 2007, he held a Systems Engineer position at Elvista Digital Systems in Bangalore, where he was involved in the design and deployment of Digital Image Processing and Pattern Recognition algorithms. He holds both a Master’s and a Doctorate degree from Anna University, Chennai.


Journal Article

Year : 2022

A Systematic Literature Review on Determining the Effectiveness of Short-Term COVID-19 Prediction Models

Cite this Research Publication : Ramraj, T., and Valliappan Raman, “A Systematic Literature Review on Determining the Effectiveness of Short-Term COVID-19 Prediction Models”, Lecture Notes in Electrical Engineering, vol 1072. Springer, 2022

Publisher : Springer

Year : 2019

Influence of Krylov subspace in Graph Isomorphism for Mobile Networks

Cite this Research Publication : Ramraj, T., and R. Prabhakar, "Influence of Krylov subspace in Graph Isomorphism for Mobile Networks." Mobile Networks and Applications 24.2 (2019): 407-419., Springer, Indexed: Web of Science, Impact Factor: 3.259

Publisher : Springer

Year : 2015

Frequent Subgraph Mining Algorithms – A Survey

Cite this Research Publication : T. Ramraj, R. Prabhakar,Frequent Subgraph Mining Algorithms – A Survey,Procedia Computer Science,Volume 47,2015,Pages 197-204,ISSN 1877-0509

Publisher : Elsevier

Funded Projects

Year: 2022-2023

Title: INTERACTIVE COVID-19 CHATBOT DASHBOARD:Design and Development of Statistical Model for Short-term Prediction of Dynamic COVID-19 transmission

Agency: Indian Council of Medical Research (ICMR)

Role: Co-PI

Total Cost: Rs. 2,075,500/-

Status: Completed

Acceptance: Sept9, 2021.

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