News and Activities

Mar 31, 2025

[Conference Paper] Congratulations to Nilmadhab Das and co-authors for their paper titled: End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction getting accepted in International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025.

Mar 31, 2025

[Conference Paper] Congratulations to Nilmadhab Das and co-authors for their paper titled: Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Language getting accepted in International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025.

Jan 23, 2025

[Conference Paper] Congratulations to Nilmadhab Das and co-authors for their paper titled: On the Role of Key Phrases in Argument Mining getting accepted in Findings of the North American Chapter of the Association for Computational Linguistics (NAACL), New Mexico, USA, 2025.

Professional Experience

• Professor (May, 2022 - till date), Dept of Computer Sc and Engg, IIT Guwahati, India
• Associate Professor (March, 2018 - May, 2022), Dept of Computer Sc and Engg, IIT Guwahati, India
• Assistant Professor (Feb, 2011 - March, 2018), Dept of Computer Sc and Engg, IIT Guwahati, India
• Postdoctoral Research Fellow (Sep, 2009 - Dec, 2010), Systems Biology Lab, Institute Pasteur, Paris, France
• Research Associate (Mar, 2009 - Aug, 2009), Machine Learning Lab, School of Electriacal and Electronic Engg, Nanyang Technological Institute, Singapore
• Project Associate (Aug, 2004 - Dec, 2005), BSBE, IIT Kanpur, India
• Visiting Research Student (Nov, 2002 - Jul, 2004), Androgen Receptor Laboratory, Biomedicum, University of Helsinki, Finland

Education

• PhD (School of Electrical and Electronics Engineering), Nanyang Technological University, Singapore (2006-2009)
• Int MSc (Mathematics and Sc Computing), Indian Institute of Technology, Kanpur, India (1997-2002)

Professional Activities

Reviewer (In alphabetical order)

• ACM Transactions on Asian and Low-Resource Language Information Processing
• Applied Soft Computing
• Bioinformatics
• Biosystems
• Data Mining and Knowledge Discovery
• IEEE Transactions on Evolutionary Computation
• IEEE Transactions on Cybernetics
• IEEE Transactions on Neural Networks and Learning Systems
• Pattern Recognition

Biography

Ashish has joined the Dept of CSE, Indian Institute of Technology Guwahati in Feb, 2011. He did his Masters (Int-MSc, 5 years) in Mathematics and Scientific Computing from Indian Institute of Technology Kanpur. Thereafter, he joined Androgen Receptor Laboratory (University of Helsinki, Finland) as a visiting research student. That was the place where he got introduced to exciting biology compared to the boring school days biology. Computational challenges arising from efforts to understand biology fascinated and motivated him to continuing research in this highly interdisciplinary area. Later he joined a collaborative project of Prof Pradip Sinha and Prof K Deb (at IIT Kanpur) to understand neoplastic cancer in the model organism D. Melanagastor. He did his PhD from Nanyang Technological University on "Computational Inteliigence Methods for Problems in Computational Biology". In particular he worked on multi-class classification, template clustering for short time series data and imbalanced binary classification problems. And prior to joining IIT G, he was part of European Consortium, BaSySBio at Systems Biology Lab (Group Leader: Dr Benno Schwikowski) Institut Pasteur, Paris. His post-doc work was mainly concentrated on regulatory network reconstruction and pathway analysis.