service

Reviewing, organizing, volunteering, teaching and mentoring.

Academic Events

Area Chair

  • 2026: EMNLP (Industry Track)
  • 2025: ARR (October cycle)

Conference Reviewer

  • 2026: NeurIPS, EMNLP, ICLR, AIES, LREC, ARR
  • 2025: COLING, WSDM, WebSci, AIS, ARR
  • 2024: ACL, COLING, WSDM, WWW, LREC-COLING, ASONAM, PAKDD, WebSci, NAACL, ARR, ECML-PKDD
  • 2023: EMNLP, ECML-PKDD, WebSci, EACL, ARR
  • 2022: COLING, ICON, ARR
  • 2020: RESPECT

Workshop Reviewer

  • 2026: FLMSec@NeurIPS, CSS Nordic
  • 2025: DHOW@WWW, SRW@ACL
  • 2024: SoLaR@NeurIPS, Pluralistic@NeurIPS, SRW@NAACL, Me-FOMO@ICLR, WOAH@ACL
  • 2023: FIRE, Me-FOMO@ICLR, SemEval10@ACL, WOAH@ACL
  • 2022: CONSTRAINT@ACL
  • 2021: CONSTRAINT@AAAI (Best Reviewer)

Journal Reviewer

  • 2025: SNAM, SSHO, AI Perspectives & Advances, ACM TALLIP
  • 2024: ACM TWeb, ACM TALLIP, IJCCI
  • 2022: ACM TALLIP, NeuroComputing
  • 2021: Wiley Computational Intelligence Journal

Organizing Committee

  • 2026: Science Postdoc Day, University of Copenhagen
  • 2023: BDA, HASOC@FIRE (Task 3)
  • 2022: ICON
  • 2021: ACSS, CONSTRAINT@AAAI, LCS2 Winter Internship (IIIT Delhi)
  • 2020: ACSS
  • 2019: COFAD

Student Volunteer

  • 2024: ACL
  • 2023: BDA, KDD
  • 2022: EMNLP (Online), KDD
  • 2021: AAAI (Online), CODS-COMADS (Online)
  • 2020: KDD (Online)

Industry Events

Conference Reviewer

  • 2025: Grace Hopper Conference (GHC) USA
  • 2023: Grace Hopper Conference (GHC) USA, Data Science Track
  • 2020: Grace Hopper Conference (GHC) USA, Data Science Track; Grace Hopper Conference (GHC) India, Machine Learning Track and Original Research Track; SciPy USA; PRAISE@IIITD
  • 2019: Grace Hopper Conference (GHC) USA, Data Science Track; Grace Hopper Conference (GHC) India, Machine Learning Track; Grace Hopper Day London, Data Science Track; SciPy USA; PyOhio; HasGeek Fifth Elephant
  • 2018: Grace Hopper Conference (GHC) India, Machine Learning Track; SciPy USA; ODSC India
  • 2017: Grace Hopper Conference (GHC) India, Machine Learning Track
  • 2016: Grace Hopper Conference (GHC) India, Machine Learning Track

Scholarship Reviewer

  • 2019: AnitaB Pass-It-On Awards; Grace Hopper X London, Student Scholarship; Grace Hopper Conference (GHC) USA, Pathway Scholarship; Richard Tapia
  • 2018: AnitaB Pass-It-On Awards; Grace Hopper Conference (GHC) USA, Student Scholarship
  • 2017: AnitaB Pass-It-On Awards; Grace Hopper Conference (GHC) USA, Student Scholarship

Hackathon Reviewer

  • 2021: Global Technovation Challenge
  • 2019: Curiosity Machine AI Challenge, DataKind x Google: AI for Social Good Challenge (Round 1, as a DataKind volunteer)
  • 2018: Global Technovation Challenge
  • 2017: Global Technovation Challenge

Leadership & Volunteering
  • 2021: Session Chair, Original Research Track, Grace Hopper Conference India
  • 2020 - 2023: Member, Artificial Intelligence Committee, AnitaB.org
  • 2020: Interview Coordinator, M.Tech. and Ph.D. (CSE) Admissions, IIIT Delhi
  • 2016 - 2024: Member & Volunteer, AnitaB.org
  • 2016 - 2017: Volunteer, LeanIn India; Coordinator, LeanIn Jamia Chapter
  • 2016: Instructor, Virtual Hour of Code, Systers
  • 2015 - 2016: Student Volunteer, Women Who Code Delhi Chapter
  • 2015: Hackathon Volunteer, PMO App Design Sprint, MyGov.org & Google India
  • 2014 - 2015: Founder and Organizer, Jamia Innovation Challenge
  • 2014 - 2015: Organizer, Internship Fest Delhi
  • 2014 - 2016: Google Student Ambassador, Jamia Millia Islamia
  • 2014 - 2016: Founding Member, Center for Innovation and Entrepreneurship, Jamia Millia Islamia (CIE-JMI)
  • 2014 - 2016: Batch Representative, Placement Cell, Jamia Millia Islamia
  • 2014: Volunteer, JMI ABC-Teach the Underprivileged Program
  • 2013 - 2016: Contributor and Editorial Board Member, FICTION Magazine
  • 2013 - 2016: Executive Member, Computer Society of India, Jamia Millia Islamia Chapter (CSI-JMI)
  • 2012 - 2016: Class Representative, Jamia Millia Islamia (ED coursework 2012 - 2013, Dept. of Computer Science & Engineering 2013 - 2016)
  • 2012 - 2016: Techno-Cultural Fest Committee, CSI-JMI
  • 2010 - 2012: High School Prefect, Frank Anthony Public School
  • 2010: Student Coordinator, Science Symposium, Frank Anthony Public School
  • 2008 - 2010: Class Representative, Frank Anthony Public School

Mentoring

Thesis Research

  • Masters: Zsusana (DIKU), Trung Duc Anh Dang (DIKU), Chhavi (IIIT Delhi), Sakshi (IIIT Delhi)
  • Bachelors: Aflah (IIIT Delhi), Neemesh (IIIT Delhi), Manav (IIIT Delhi)

Open Source Programs

  • 2020: Student Code-in
  • 2019: Google Code-in (GCI), Systers, Mentorship Backend project
  • 2018: Google Summer of Code (GSoC), Systers, Sysbot project
  • 2018: GirlScript Summer of Code (GSSoC)
  • 2017: Learn IT, Girl!
  • 2017: Open Source Day, Jupyter, GHC 2017

Hackathons

  • 2023: HackCOG, Esya 2023
  • 2021: Hydrangea Hacks 2021 (Online)

Student Mentor Programs

  • 2022 - 2023: Graduate Student Mentor, IIIT Delhi
  • 2021: Beta Mentoring Session, CommandTech (Aug 2021)
  • Sep 2017 - Feb 2018: Next Scholars Program, New York Academy of Sciences
  • May 2017 - Feb 2018: Annual Student Mentor, Global Give Back Circle, India Chapter
  • 2016: IEEE-WIE Project Stand, Data Science Track

Professional Mentoring

  • Jan 2022 - Mar 2022: AI/ML Mentorship Cohort, AnitaB.org
  • 2022: Speed Mentor (3 months), AnitaB.org

As a Mentee

  • Jun 2026 - Nov 2026: Women4Cyber (W4C) Foundation Mentorship Programme, mentored by Petra Vokálová
  • Nov 2025 - Mar 2026: TechWomenCPH Mentorship Program, mentored by Thea Madsen
  • Oct 2025 - Mar 2026: LOTUS STEMM Mentorship Program, mentored by Dr. Molamma Prabhakaran

Teaching

Co-Instructor

  • Winter 2025: Fairness and Transparency in Machine Learning (FTML), University of Copenhagen

Head Teaching Assistant

  • Monsoon 2023: CSE101, Intro to Programming in Python (Undergrad Level), IIIT Delhi; 300 students, leading 15 TAs
  • Winter 2023: CSE561, Deep Learning (Graduate Level), IIIT Delhi; 150 students, leading 7 TAs

Teaching Assistant

  • Summer 2023: Social Network Analysis (NOC), NPTEL
  • Monsoon 2022: CSE559, Natural Language Processing (Graduate Level), IIIT Delhi
  • Winter 2021: CSE559, Mining Large Networks (Graduate Level), IIIT Delhi

Chapter Contributions

  • 2024: Introduction to Large Language Models by Tanmoy Chakraborty (Wiley); chapter on an overview of natural language processing and neural networks
  • 2021: Data Science for Fake News: Surveys and Perspectives (Springer); chapter on the dynamics of fake news diffusion
  • 2021: Social Network Analysis by Tanmoy Chakraborty (Wiley); chapters on link prediction and link analysis