Ashish Anand

Associate Professor: Teaching undergraduates and postgraduates courses
IIT Guwahati

Ashish Anand 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 at the Indian Institute of Technology Kanpur and his PhD at Nanyang Technological University. His thesis are titled “Computational Intelligence 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. 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 postdoc work concentrated mainly on regulatory network reconstruction and pathway analysis.

Principal Investigator

Further information

Research interest in relevance of the project
Field of Expertise
Selected publications
Complete list of publications
Contact details

Research interest in relevance of the project

  • Machine Learning
  • Application of ML and Deep Learning in Genome Analysis
  • BioNLP and tool development
  • Clinical Text Mining

Field of Expertise

  • Machine Learning
  • NLP
  • Computational Biology

Selected publications

  • Rapid Reconstruction of Time-varying Gene Regulatory Networks. Pyne S, Kumar AR, Anand A. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, (Advance Online Pub available)
  • SpliceVec: Distributed feature representations for splice junction prediction. A Dutta, T Dubey, Kusum K Singh, A Anand. Computational Biology and Chemistry, 2018, Vol 74: 434-441
  • Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. Abhishek, Sanya B Taneja, Garima Malik, Ashish Anand, Amit Awekar. Accepted in AKBC 2019, USA
  • Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. Abhishek, Ashish Anand and Amit Awekar. EACL 2017, Spain (Long Paper)
  • Learning local and global contexts using a convolutional recurrent network model for relation classication in biomedical text. Desh Raj, Sunil Kumar Sahu, Ashish Anand. CoNLL 2017, Canada.

Contact details

Address:

H-008
Dept. of CSE
IIT Guwahati
Assam – 781039

Phone: +91 361 258 2374

Gajendra Pratap Singh
Cota Navin Gupta
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