Curriculum vitae
Adheesh Juvekar
Ph.D. Student · Computer Science
University of Illinois Urbana-Champaign · PLAN Lab
I study how models connect language with visual evidence for multimodal reasoning, generation, and editing.
01 Education
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Ph.D. in Computer Science
2024 – PresentUniversity of Illinois Urbana-Champaign
Urbana, IL
GPA: 4.0/4.0 · Expected graduation: December 2027
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M.S. in Computer Science
May 2023Virginia Tech
Blacksburg, VA
GPA: 3.85/4.0
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B.E. in Information Technology
May 2019VESIT · University of Mumbai
Mumbai, India
GPA: 8.31/10
02 Industry experience
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Applied Scientist Intern
Jun 2026 – Aug 2026Amazon
Bellevue, WA
Worked on geospatial vision-language reasoning with Dr. Mohamed Moustafa and Dr. Hesham Eraqi. Developed GVLM-R to support multiple geospatial tasks within a single reasoning model.
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Applied Scientist Intern
Jun 2023 – Aug 2023Amazon
Boston, MA
Worked with Dr. Ali Jahanian and Dr. Achin Jain on compositionality in text-to-image generation. Designed an inference-only method to improve prompt faithfulness without training.
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Machine Learning & NLP Intern
May 2021 – Aug 2021Deloitte & Touche LLP
New York, NY · Remote
Worked with Dr. Sanjeev Srivastava on extracting audit evidence from invoices. Developed a pipeline for automatic information extraction from documents.
03 Research experience
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Graduate Research Assistant
Aug 2024 – PresentPLAN Lab · University of Illinois Urbana-Champaign
Champaign, IL
Advised by Dr. Ismini Lourentzou. Research on multimodal foundation models, semantic grounding, multimodal reasoning, and controllable generation.
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Graduate Research Assistant
Aug 2021 – Aug 2024PLAN Lab · Virginia Tech
Blacksburg, VA
Advised by Dr. Ismini Lourentzou. Worked on talking-head generation, scene graph generation, and compositionality in text-to-image generation.
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Research Assistant
Jan 2020 – Dec 2021Digital Libraries Research Laboratories · Virginia Tech
Blacksburg, VA
Advised by Dr. Edward Fox. Worked on a model for extracting definitions from electronic theses and dissertations.
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Research Assistant
Sep 2020 – May 2021NLP Lab · Virginia Tech
Blacksburg, VA
Advised by Dr. Lifu Huang. Worked on a model for event and entity coreference resolution.
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Research Assistant
Oct 2019 – Jan 2020Zhang Lab · Virginia Tech
Blacksburg, VA
Advised by Dr. Liqing Zhang. Developed a visualization module for antibiotic resistance genes, pathogens, and mobile genetic elements for MetaCompare Web.
04 Publications & preprints 15
JOLT: Uncertainty-Selective Self-Ensembling for Geometric Consistency in Video Generation
From Tokens to Trajectories: Parameter-Efficient Continuous Adaptation of Unified Multimodal Models with FlowShift
Fluxlearn’s to Write
UniSegFlow: Segmentation as a Unified Thinking Paradigm for Visual Understanding, Generation, and Editing via Discrete Flow Matching
PRIMA: Multi-Image Vision-Language Models for Reasoning Segmentation
* Equal contribution
05 Teaching & service
Teaching
Graduate Teaching Assistant · Virginia Tech
2020–2022 · Machine Learning with Big Data, Mobile Application Development, Web Application Development, and Introduction to Software Design.
Guest lecture · Advanced Machine Learning
Spring 2023 · Diffusion Models.
Academic service
Conference reviewer
AAAI 2026, 2027 · WACV 2027 · NeurIPS 2026 · ECCV 2026 · ACL 2026 · CVPR 2026 · EMNLP 2022 · PETRA 2023, 2024.
PLAN Lab website
Co-developed the PLAN Lab website ↗.