IIT Gandhinagar: 10 Years of ExcellenceNews

Mayank Singh


Mayank Singh

Assistant Professor, Computer Science & Engineering

  • BTech: Indian Institute of Technology Jodhpur, 2012
  • PhD: Indian Institute of Technology Kharagpur, 2019

Email: singh.mayank -AT- iitgn.ac.in

Website : http://mayank4490.github.io/

Office: 4/304
VOIP: 2538

  • Work Experience

    • Assistant Professor, Indian Institute of Technology Gandhinagar (Feb 2019 to Present)
    • Assistant Research Professor, Indian Institute of Technology Gandhinagar (July 2018 - Jan 2019)
    • Research Intern, TCS Innovation labs, Kolkata, India (2017)
    • Research Intern, Georgia Tech, Atlanta, USA (2016)
    • Research Intern, Xerox Research Center Bangalore, India (2014)
    • Technology Analyst, Infosys Ltd., Hyderabad, India (2012 - 2013)
    • Research Intern, Intelligent Systems Research Centre, Northern Ireland, UK (2011)

  • Selected Publications

    1. Naman Jain, Pranjali Jain, Pratik Kayal, Jayakrishna Sahit, Soham Pachpande, Jayesh Choudhary, Mayank Singh. 2019. AgriBot: Agriculture-Specific Question Answer System. ICSTEMVG 2019.

    2. Mayank Singh, Rajdeep Sarkar, Atharva Vyas, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti. 2019. Automated Early Leaderboard Generation From Comparative Tables. ECIR 2019.

    3. Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, and Soumen Chakrabarti. "Relay-Linking Models for Prominence and Obsolescence in Evolving Networks'' In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1077-1086. ACM, 2017.

    4. Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, and Pawan Goyal "Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization" Journal of Informetrics (JOI) 10(4), pp. 1005-1022, 2016.

    5. Mayank Singh, Vikas Patidar, Suhansanu Kumar, Tanmoy Chakraborty, Animesh Mukherjee, and Pawan Goyal. "The role of citation context in predicting long-term citation profiles: An experimental study based on a massive bibliographic text dataset." In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM), pp. 1271-1280. ACM, 2015.