I am a fourth-year PhD student in the Laboratory for Computational Social Systems (LCS2) at IIIT-Delhi, where I am advised by Dr. Md. Shad Akhtar and Dr. Tanmoy Chakraborty. My interests lie broadly at the intersection of Natural Language Processing, and Conversational AI with a focus on mental health counseling methods. In particular, my research aligns toward understanding mental health clients on digital counseling systems using NLP and Deep Learning. To know more, refer to my resume or drop me an email!

News and Updates

  • November 2023: Our proposal for a tutorial on dialogue system for counseling got accepted at ICON '23.
  • March 2023: Received Google Research Travel Award to present our paper at WWW'23 in Austin, USA.
  • January 2023: Our paper on counseling dialogue generation got accepted at WWW 2023.
  • January 2023: I will be attending Google Research Week 2023 in Banglore, India.
  • June 2022: Received ACM India Travel Award to present our paper at KDD'22 in Washington DC, USA.
  • May 2022: Our paper on counseling summarization got accepted at KDD 2022.
  • March 2022: Our paper on mental health symptom identification got accepted at ICWSM 2022.
  • October 2021: Our paper on dialogue-act classification in dialogue systems got accepted at WSDM 2022.
  • May 2022: Received ACL 2022 Student Volunteer Award.
  • December 2021: Received WSDM Student Grant to present our paper in WSDM 2022 (virtual).
  • October 2021: Received EMNLP 2021 Student Volunteer Award.
  • August 2021: Received ACL 2021 Student Volunteer Award.
  • August 2020: Started my PhD at IIIT Delhi


Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities
Aseem Srivastava, Tanya Gupta, Alison Cerezo, Grin Lord, Md Shad Akhtar, Tanmoy Chakraborty
Under Review

Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling
Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty
WWW'23 | The 2023 ACM Web Conference (aka WWW)
paper code slides

Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering
Aseem Srivastava, Tharun Suresh, Sarah (Grin) Lord, Md. Shad Akhtar, Tanmoy Chakraborty
KDD'22 | ACM's Knowledge Discovery and Data Mining - SIGKDD 2022
paper dataset slides

A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework
Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md Shad Akthar, Maryam Panahiazar, Amit Sheth
ICWSM'22 | The International AAAI Conference on Web and Social Media 2022

Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md Shad Akhtar, Tanmoy Chakraborty
WSDM'22 | The 15th ACM International WSDM Conference
paper code dataset slides

Organized Tutorials

Building Blocks of AI-Driven Mental Health Counseling
Organizers: Aseem Srivastava, Neeraj, Yash Kumar Atri, Shivani Kumar, Shad Akhtar, Tanmoy Chakraborty
ICON'23 | International Conference on Natural Language Processing ICON 2023

Invited Talks

Nov' 23   |   Applied AI in Mental Health – Building Bridges from Scratch to Transformation 🚀
Cord.AI   |   Slides

Position of Responsibility


  • Winter 2022: Head TA for CSE 641: Deep Learning
  • Monsoon 2021: Head TA for CSE 556: Natural Language Processing
  • Winter 2021 & 2022: TA for PG Diploma in Data Science & AI: Deep Learning

  Template: Ashish Sharma