Contributing to advancing
knowledge in emerging
technology areas.



Our employees contribute to advancing knowledge in emerging technology areas like Artificial Intelligence and contribute to / author papers in collaboration with professors / students and other industry professionals. Here are a few of them.



  • Anoop Kunchukuttan, Mitesh Khapra, Gurneet Singh, Pushpak Bhattacharyya. Leveraging Orthographic Similarity for Multilingual Neural Transliteration. Transactions of Association of Computational Linguistics (TACL). 2018. [pdf]

  • Rudramurthy V, Anoop Kunchukuttan, Pushpak Bhattacharyya. Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER. Conference of Association of Computational Linguistics (ACL 2018). 2018. [pdf]

  • Anoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya. The IIT Bombay English-Hindi Parallel Corpus. Langauge Resource and Evaluation Conferences (LREC 2018). 2018. [pdf]

  • Madhav Nimishakavi, Manish Gupta, Partha Talukdar. Higher-order Relation Schema Induction using Tensor Factorization with Backoff and Aggregation. The 56th Annual Meeting of the Association for Computational Linguistics (ACL), July 15-20, 2018, Melbourne.

  • Pinkesh Badjatiya, Litton J Kurisinkel, Manish Gupta and Vasudeva Varma. Attention-based Neural Text Segmentation. The 40th European Conference on Information Retrieval. Mar 26-29, 2018. Grenoble, France.

  • Raksha Jalan, Manish Gupta and Vasudeva Varma. Medical Forum Question Classification Using Deep Learning. The 40th European Conference on Information Retrieval. Mar 26-29, 2018. Grenoble, France.

  • Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani and Girish Keshav Palshikar. Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. The 40th European Conference on Information Retrieval. Mar 26-29, 2018. Grenoble, France.

  • Abhishek Kumar Singh, Manish Gupta and Vasudeva Varma. Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. [Poster] The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018). Feb 2-7, 2018. New Orleans, Louisiana, USA.

  • Manoj Kumar Chinnakotla, Puneet Agrawal, “Lessons from Building a Large-scale Commercial IR-based Chatbot for an Emerging Market”, In the Proceedings of 41st International ACM SIGIR Conference, Ann Arbor, Michigan, July 2018.

  • Abhishek Kumar Singh, Manish Gupta and Vasudeva Varma. Hybrid MemNet for Extractive Summarization. [Poster] The ACM International Conference on Information and Knowledge Management (CIKM 2017). Nov 6-10, 2017. Singapore.

  • Sandhya Singh, Ritesh Panjwani, Anoop Kunchukuttan, Pushpak Bhattacharyya. Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation. 4th Workshop on Asian Language Translation (WAT 2017, co-located with IJCNLP). 2017. [pdf]

  • Anoop Kunchukuttan, Maulik Shah, Pradyot Prakash, Pushpak Bhattacharyya. Utilizing Lexical Similarity between Related, Low-resource Languages for Pivot-based SMT. International Joint Conference on Natural Language Processing (IJCNLP 2017). 2017. [arXiv page]

  • Anoop Kunchukuttan, Pushpak Bhattacharyya. Learning variable length units for SMT between related languages via Byte Pair Encoding. 1st Workshop on Subword and Character level models in NLP (SCLeM 2017, co-located with EMNLP 2017). 2017. [arXiv page]

  • Manish Gupta, Prashant Gupta, Pravin Vaddavalli, Asra Fatima. Predicting Post-Operative Visual Acuity for LASIK Surgeries The 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2016), Apr 19-22, 2016. Auckland, New Zealand.

  • 'Solve-Select-Scale: A Three Step Process For Sparse Signal Estimation', Mithun Das Gupta, 2016.

Daraksha Parveen

Applied Scientist II

Areas of Interest:
Information retrieval, Natural language processing
Education:
PhD: Ruprecht-Karls-University Heidelberg 2016
Masters: Information Technology from IIIT Allahabad
Bachelors in Computer Science from ZHCET, AMU, U.P., 2005-2009
Previously with:
Prof. Mausam in IIT Delhi as a Project Assistant

Joy Mustafi

Principal Applied Scientist

Areas of Interest:
Artificial Intelligence and Machine Learning, Natural Language Processing and Text Analytics, Image Processing and Computer Vision, Audio Signal Processing and Speech Technology, Embedded Systems and Internet of Things
Education:
Post-graduation in Computer Application (2003) from Regional Computer Center, Kolkata.
Graduation in Statistics (2000) from Ramakrishna Mission Residential College, Narendrapur
Previously with:
With IBM for a decade (2006 - 2016) as Data Scientist, and involved in the Business Analytics and Optimization, Watson Solutions, IT Operations Analytics etc.

Manish Gupta

Principal Applied Scientist

Areas of Interest:
Machine Learning, Deep learning, Web Mining, Data Mining and Information Retrieval
Education:
PhD: Computer Science, Data Mining, University of Illinois at Urbana Champaign, Illinois, USA, 2009-2013
Masters: Computer Science, IIT Bombay, 2005-2007 (Thesis Report, Website)
Bachelors: Computer Engineering, Mumbai University, Mumbai, 2001-2005 (Thesis Report, Poster, Website)
Previously with:
Yahoo!
Currently also associated with:
Faculty at International Institute of Information Technology, Hyderabad, and a visiting faculty at ISB, Hyderabad

Manoj Agarwal

Principal Applied Researcher

Areas of Interest:
Information Retrieval,Real time Data Analytics,Pattern Matching Graph Search
Education:
PhD: Computer Science Indian Institute of Technology, Bombay 2015
Masters: ECE The University of Texas at Austin 2001
Bachelors: ECE Indian Institute of Technology, Roorkee 1997
Previously with:
IBM Research – India

Manoj Kumar Chinnakotla

Senior Applied Scientist

Areas of Interest:
Question Answering, Web Search Quality and Relevance, Multilingual Information Retrieval, Text Data Mining
Education:
Doctor of Philosophy (Ph.D)Department of Computer Science and Engineering,Indian Institute of Technology (IIT) Mumbai, India Graduation: 2011
Master of Technology (M.Tech) Department of Computer Science and Engineering,Indian Institute of Technology (IIT)Mumbai, India Graduation: 2002
Bachelor of Technology (B.Tech)Department of Computer Science and Engineering,Sri Venkateswara University College of Engineering (SVUCE)Tirupati,India Graduation: 2000
Currently also associated with:
Faculty with the Language Technology Research Center (LTRC), IIIT Hyderabad

Mithun Das Gupta

Principal Applied Researcher

Areas of Interest:
During my past life as a traditional computer vision researcher, my areas of interest included computer vision and image processing (video and image super-resolution, image de-noising, compression artifacts removal), graphical models for image classification, machine learning and approximate inference and convex optimization techniques. Lately I have been involved with text related problems such as Computational Argumentation, Neural Question Answering etc. I also work with AR/VR concept development on Microsoft HoloLens.
Education:
Doctor of Philosophy(PhD) University of Illinois, Urbana Champaign Graduation: 2008
Masters University of Illinois, Urbana Champaign Graduation: 2003
Bachelor of Technology (B.Tech) Department of Electrical Engineering, Indian Institute of Technology, Kharagpur Graduation: 2001
Previously with:
Research positions at IBM, Ricoh, GE and Epson.

Radhakrishnan Srikanth

Group Program Manager for AI & Relevance

Areas of Interest:
Using Machine Learning and Deep Learning to power experience in areas like NLP for Information extraction from structured and unstructured text, Conversational technologies in areas like auto generation of conversation to power chat bots, Speech technologies for Indian Languages, Clustering and Classification of text for Adult and Offensive filtering.
Education:
Doctor of Philosophy(PhD) Computer Science, Tulane University, Graduation: 1993
Masters in Computer Science, Tulane University, Graduation: 1991
Masters in Physics, Tulane University, Graduation: 1987
Previously with:
Director of Development at Incomm, CTO Infostrands and Associate Professor of Computer Science Clark Atlanta University

Rajeev Gupta

Principal Applied Researcher

Areas of Interest:
Information extraction and integration, Big-data, Data mining
Education:
PhD: IIT Bombay, India in the area of Distributed Execution of Continuous Queries
Bachelors: IIT Kharagpur, India from Department of Electronics and Communication Engineering.
Previously with:
With IBM Research for 15 years

Ranganath Kondapally

Senior Applied Scientist

Areas of Interest:
I work on information extraction and inferencing problems on Bigdata. Some of them include powering delightful personal assistant experiences. I explore both supervised and unsupervised techniques to extract structured information from large datasets which often requires understanding data, categorizing them, and splicing information-of-interest at scale in an eyes-off fashion. Outside work, I like to travel, hiking and skiing.
Research Areas: Information Extraction, Machine Learning, Algorithms, and Complexity Theory
Education:
PhD in Computer Science from Darthmouth College
BTech in Computer Science from IIIT-Hyderabad

Sandipan Dandapat

Senior Applied Researcher

Areas of Interest:
Machine Translation, Natural Language Processing and Applied Machine Learning
Education:
Doctor of Philosophy (PhD) Computer Science, Dublin City University, Graduation: 2012
MS in Computer Science, IIT Kharagpur, Graduation: 2008
Previously with:
Research Scientist in the Xerox research Centre India.
Assistant Professor, IIT Guwahati in the Department of Computer Science and Engineering

Sanjeev N Khadilkar

Senior Program Manager

Areas of Interest:
High Tech Product Management, Technology Ecosystems, R&D Based Business.
During my past life as a traditional computer science researcher, my areas of interest included unified complexity models for sequential and parallel computation and structural aspects of NP completeness. At various times I have been involved with engineering of real time embedded mobile systems, large scale distributed systems, and intelligent systems. Currently I am in the very early stages of exploring areas new for me like temporal pattern mining, artificial personality design and quantum computing.
Education:
Ph.D., Computer Science and Engineering, Indian Institute of Technology, Kanpur, 1995
Masters, Computer Science and Engineering, Indian Institute of Technology, Kanpur, 1988
Bachelors, Electrical Engineering, Institute of Technology, BHU, India, 1984
Additional Coursework:
Certificate Bio Informatics (Life Sciences)
P.G. Diploma in Marketing Management
P.G. Diploma in Finance Management
P.G. Diploma in Human Resource Management
Previously with:
Motorola, Hughes