CS Ph.D. student at Georgia Tech
Email: gverma@gatech.edu
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I am a fourth-year Ph.D. student in Computer Science at Georgia Tech, where I am advised by Prof. Srijan Kumar. I research the robustness of vision-language and natural language processing models [ACL'23(a)] [ACL'23(b)] [EMNLP'23] [EMNLP'22], while addressing problems that impact safety [WebConf'22], equity [ICWSM'22] [WebConf'24], and well-being [SciRep'22].
My technical research interests include: large {vision-language/language} models, multimodal deep learning, natural language processing, and computational social science. At Georgia Tech, I also collaborate closely with Prof. Munmun De Choudhury. I am honored to be supported by the JP Morgan AI PhD Fellowship and Snap Research Fellowship. Here's my [ 📄 CV (pdf)]
Prior to Georgia Tech, I worked at Adobe Research, where I conributed to content generation technologies like #ProjectSnippets [TechCrunch]. During my doctoral studies, I have been a Research Intern at Microsoft Research and Adobe Research. I completed my undergraduate studies at the Indian Institute of Technology Kanpur, where I worked with Prof. Tanaya Guha on learning modality-independent representations for affective analysis and retrieval of multimedia.
Outside of Computer Science, I also collaborate with Public Policy scholars to study the influence of AI technologies on Public Values and leveraging Generative AI to accelerate Science, Technology, and Policy research [QSS'24].
Recent Awards:
• JP Morgan AI Ph.D. Fellow (2023)
• Snap Research Fellow 👻 (2022)
• College of Computing Rising Star Doctoral Student Research Award (2022)
• Adobe Research Ph.D. Fellowship Finalist (2022)
• Best Paper Runner-up Award at WISE 2021
• AAAI ICWSM-2021 Best Reviewer Award
Academic Service: Program Committee Member/Reviewer for:
Journals: ACM Transactions on Computer-Human Interaction (TOCHI), IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Data Mining and Knowledge Discovery
Conferences: AAAI (2022, 2023, 2024), FAccT 2024, ACL 2023, NeurIPS (2023: Ethics reviewer), CHI 2023 (💐 Special Recognition for Outstanding Reviews), KDD 2023, TheWebConf (2022, 2023, 2024), ACL Rolling Review, EMNLP (2021, 2022, 2023), ACL-IJCNLP 2021, ICWSM (2021: 💐 Best Reviewer Award, 2022), ACII 2021, CODS-COMAD 2022, and ECIR 2020.
Apart from research, I love to spend most of my time reading books (📚). I also have some affinity for sports – basketball (🏀) and table tennis (🏓). The quickest way to get in touch would be through email (📧). I am also somewhat active on Twitter. More details are available in the Contact section.