Maunendra Sankar Desarkar

I am an Assistant Professor at the Computer Science and Engineering Department at IIT Hyderabad, India. My main research areas are Recommendation Systems, Information Retrieval, Social Network Analysis, Data Mining, Machine Learning. I am a part of the Data and Informatics Group (DIg) at the Department of CSE, IIT Hyderabad. Prior to Joining IIT Hyderabad, I have worked for Samsung Research India Bangalore and Sybase Inc. (a SAP Company) in the past.

Recent News

  • Manisha gets her work on Semantic Annotation in LBSNs accepted in ASONAM 2021. The proposed method uses multi-view Hypergraph GCNs on spatio-temporal data. Congratulations Manisha!
  • Suvodip's work on Dialog State Tracking gets accepted in SIGDIAL 2021. Paper title: "Hi-DST: A Hierarchical Approach for Scalable and Extensible Dialogue State Tracking". Congratulations to Suvodip.
  • Kaushal's work on Zero-shot Cross lingual transfer for Natural Language Generation will appear in Findings of ACL 2021. Congratulations to Kaushal.
  • Work by Arkadipta, Venkatesh and Kaushal on hostility detection in regional language posts has been selected as Shared task best paper honorable mention award in CONSTRAINT (​Combating On​line Ho​st​ile Posts in ​Regional L​anguages dur​ing Emerge​ncy Situation) Workshop in AAAI 2021. Congratulations to the students!
  • Sreekanth's work on future popularity estimation of planned events is accepted in ECIR 2021. Title of the paper: "Social Media Popularity Prediction of Planned Events using Deep Learning". ECIR has rank A in CORE ranking.
  • Sreekanth Madisetty defends his thesis. Thesis title: "Towards Event Recommendation using Social Media: Content Identification, Characterization, and Future Popularity Estimation". Congratulations Dr. Sreekanth.
  • Manisha's work on semantic annotations for LBSNs is accepted in ACM SIGSPATIAL 2020. Manisha is a PhD student jointly supervised by Dr. Srijithand myself. Congratulations to Manisha!!!
  • Glad to received Teaching Excellence Award (Category: Large Class) form IIT Hyderabad.
  • Kaushal's work on distractor generation for Reading comprehension MCQ is accepted in CIKM 2020. Congratulations Kaushal.