Aravindan Chandrabose

About

Chandrabose Aravindan is a Professor of Computer Science and Assistant Director (School of Advanced Software Engineering) at SSN College of Engineering, Chennai, India, since July 2002. He received his B.E. degree with honors in Computer Science and Engineering from National Institute of Technology, Trichy, India, in 1986 and M.E. and Ph.D. degrees in Computer Science from Asian Institute of Technology, Bangkok, Thailand, in 1990 and 1995, respectively. His post-doctoral research was with the University of Koblenz, Germany, during 1995-1997, where he worked as a Research Scientist on a funded project in the area of disjunctive logic programming. He has been in academia as a professor of Computer Science since 1998.

Aravindan is a member of the Machine Learning Research Group of SSN and his research interests include machine learning and pattern recognition, logic programming and formal methods, and high-performance computing. Eleven research scholars have already completed their PhD under his supervision and he is currently guiding two more scholars. Aravindan has completed five funded research projects, and has published about 50 papers in international journals and conferences.

Employment

• SSN College of Engineering Professor
  2002 - Present
• Mepco Schlenk Engineering College Professor
  1998 - 2002
• University of Koblenz Research Scientist
  1995 - 1997

Education

• Asian Institute of Technology D.Engg.
  1991 - 1995
• Asian Institute of Technology M.Engg.
  1989 - 1990
• National Institute of Technology Tiruchirappalli B.E. (Hons)
  1982 - 1986

Projects & Funding

Projects & funding information is unavailable.

Publications (69)

• AI-UNet: Attention Information-based deep URL Network for adult webpage classification
  Neural Computing and Applications 2025 DOI: 10.1007/s00521-024-10408-7
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• Hierarchical classifier design for speech emotion recognition in the mixed-cultural environment
  Journal of Experimental & Theoretical Artificial Intelligence 2021 DOI: 10.1080/0952813X.2020.1764630
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• Best matching algorithm to identify and rank the relevant statutes
  CEUR Workshop Proceedings 2020
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• An Effective and Discriminative Feature Learning for URL Based Web Page Classification
  Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 2019 DOI: 10.1109/SMC.2018.00240
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• Species recommendation using machine learning - GeoLifeCLEF 2019
  CEUR Workshop Proceedings 2019
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• Segmentation of Coronary Arteries from CTA axial slices using Deep Learning techniques
  IEEE Region 10 Annual International Conference, Proceedings/TENCON 2019 DOI: 10.1109/TENCON.2019.8929260
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• SSN_NLP at SemEval-2019 task 6: Offensive language identification in social media using traditional and deep machine learning approaches
  NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop 2019
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• SSN-NLP@IDAT-FIRE-2019 : Irony detection in Arabic tweets using deep learning and features-based approaches
  CEUR Workshop Proceedings 2019
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• SSN NLP at SemEval-2019 task 3: Contextual emotion identification from textual conversation using Seq2Seq deep neural network
  NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop 2019
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• Legal assistance using word embeddings
  CEUR Workshop Proceedings 2019
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