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

  • Ph.D. in Computer Science

    2024 – Present

    University of Illinois Urbana-Champaign

    Urbana, IL

    GPA: 4.0/4.0 · Expected graduation: December 2027

  • M.S. in Computer Science

    May 2023

    Virginia Tech

    Blacksburg, VA

    GPA: 3.85/4.0

  • B.E. in Information Technology

    May 2019

    VESIT · University of Mumbai

    Mumbai, India

    GPA: 8.31/10

02 Industry experience

  • Applied Scientist Intern

    Jun 2026 – Aug 2026

    Amazon

    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.

  • Applied Scientist Intern

    Jun 2023 – Aug 2023

    Amazon

    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.

  • Machine Learning & NLP Intern

    May 2021 – Aug 2021

    Deloitte & 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

  • Graduate Research Assistant

    Aug 2024 – Present

    PLAN 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.

  • Graduate Research Assistant

    Aug 2021 – Aug 2024

    PLAN 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.

  • Research Assistant

    Jan 2020 – Dec 2021

    Digital Libraries Research Laboratories · Virginia Tech

    Blacksburg, VA

    Advised by Dr. Edward Fox. Worked on a model for extracting definitions from electronic theses and dissertations.

  • Research Assistant

    Sep 2020 – May 2021

    NLP Lab · Virginia Tech

    Blacksburg, VA

    Advised by Dr. Lifu Huang. Worked on a model for event and entity coreference resolution.

  • Research Assistant

    Oct 2019 – Jan 2020

    Zhang 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

Submitted 2026

JOLT: Uncertainty-Selective Self-Ensembling for Geometric Consistency in Video Generation

Dong-Hwan Jang, Ying Shen, Adheesh Juvekar, Onkar Susladkar, Ismini Lourentzou

Submitted 2026

From Tokens to Trajectories: Parameter-Efficient Continuous Adaptation of Unified Multimodal Models with FlowShift

Gayatri Deshmukh, Onkar Susladkar, Adheesh Juvekar, Halil Kilicoglu, Ismini Lourentzou

Submitted 2026

Fluxlearn’s to Write

Onkar Susladkar, Tushar Prakash, Kiet A. Nguyen, Adheesh Juvekar, Tianjiao Yu, Yifan Shen, Sparsh Mittal, Inderjit S Dhillon, Xiaochen Zhao, Ismini Lourentzou

In preparation 2026

UniSegFlow: Segmentation as a Unified Thinking Paradigm for Visual Understanding, Generation, and Editing via Discrete Flow Matching

Adheesh Juvekar, Kiet A. Nguyen, Dong-Hwan Jang, Onkar Kishor Susladkar, Xinzhuo Li, Vedant Shah, Ismini Lourentzou

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 ↗.