Hello!

I am a Computational Social Science researcher and a final-year Ph.D. candidate at LCS2 Lab, IIIT Delhi working on NLP, where I am advised by Dr. Md. Shad Akhtar and Dr. Tanmoy Chakraborty. My research focuses on conversational systems, particularly using LLMs to develop methods for dialogue/user modeling, controlled text generation, and summarization for applications like virtual counseling and online human behavior analysis. With 8+ publications in top-tier venues such as KDD, WWW, EMNLP, WSDM, and JMIR, I look at problems from psycholinguistic lens to understand how humans interact and behave online.

  I am on the job market. I am looking for a postdoc / research scientist positions to join immediately.

News and Updates

  • Jan 2025: Our work on meme detection on support forums got accepted at WWW 2025.
  • Dec 2024: Our work on human behavior analysis for effective online support got accepted at PLOS ONE.
  • Sept 2024: Our paper on counseling summarization got accepted at EMNLP 2024 (Main Track).
  • July 2024: Our work on LLM benchmarking for counseling summarization is in JMIR Mental Health '24 now.
  • February 2024: Got invited to present a lightning talk and poster at ACM ARCS '24 in NISER.
  • 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.
  • June 2022: Received ACM India Travel Award to present our paper at KDD'22 in Washington DC, USA.
  • February 2024: Got selected for Google Research Week 2024 second time in a row.
  • January 2023: I will be attending Google Research Week 2023 in Banglore, India.
  • 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

Publications

Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification
Abdullah Mazhar, Zuhair Hasan Shaik, Aseem Srivastava, Polly Ruhnke, Lavanya Vaddavalli, Sri Keshav Katragadda, Shweta Yadav, Md Shad Akhtar
WWW '25 | The ACM Web Conference (aka WWW) 2025
paper

Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities
Aseem Srivastava, Tanya Gupta, Alison Cerezo, Grin Lord, Md Shad Akhtar, Tanmoy Chakraborty
PLOS ONE '25 | Public Library of Science 2025
paper

Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md Shad Akhtar
EMNLP (Main) '24 | Conference on Empirical Methods in Natural Language Processing 2024
paper

Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study
Prottay Kumar Adhikary, Aseem Srivastava, Shivani Kumar, Salam Michael Singh, Puneet Manuja, Jini K Gopinath, Vijay Krishnan, Swati Kedia, Koushik Sinha Deb, Tanmoy Chakraborty
JMIR-MH '24 | Journal of Medical Internet Research - Mental Health 2024
paper

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
paper

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


Trust Modeling in Counseling Conversations: A Benchmark Study
Aseem Srivastava, Zuhair Hasan Shaik, Tanmoy Chakraborty, Md Shad Akhtar
Under Review
paper

Sentiment-guided Commonsense-aware Response Generation for Counseling
Aseem Srivastava, Gauri Naik, Alison Cerezo, Tanmoy Chakraborty, Md Shad Akhtar
Under Review
paper


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
website


Invited Talks & Symposiums

2025 | 2024 | 2023   |   Got three back-to-back invitations to attend and present our work at Google India.
Research Week with Google Deepmind   |   LinkedIn

May '24   |   Got invited to present a talk on the Dialogue Modeling at India ML Reading Group
India ML Reading Group   |   YouTube LinkedIn

Feb '24   |   Invited to present a lightning talk and poster on Dialogue Generation at ACM ARCS 2024.
ACM India   |   Poster LinkedIn

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


Position of Responsibility


Teaching

  • 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