Zeeshan Memon

Hi there! I am a second-year Ph.D. student in the Department of Computer Science at Emory University, advised by Dr. Liang Zhao. My research focuses on graph machine learning and foundation models for complex networks. I obtained my B.E. in Software Engineering from the National University of Sciences and Technology (NUST), Pakistan, in 2024, where I worked under Dr. Faisal Shafait.

News

Apr 2026 Excited to be joining Microsoft as a Research Intern this May — reach out if you'll be in Seattle!

Mar 2026 Two works on Epidemiology World Model and Foundation Model for Power Grid Optimization accepted to ICLR workshops!

Aug 2024 Started PhD at Emory University!

Jun 2024 Paper accepted at the ICML 2024 Workshop on LLMs and Cognition.

May 2024 Awarded NUST Rector Gold Medal for best Final Year Project in the batch of Software Engineering, and NUST President Gold Medal for highest distinction in the batch of Software Engineering.

Mar 2023 First paper accepted at ICDAR 2023 (International Conference on Document Analysis and Recognition).

Mar 2023 Selected for CERN Openlab — heading to Geneva!

Feb 2022 Selected for DAAD-funded research internship at RheinMain University of Applied Sciences.

Experience

Visiting Student Oct 2025 – May 2026

Argonne National Laboratory

ML Research Intern Jun – Aug 2023

CERN

ML Research Intern Jun – Sep 2022

RheinMain University of Applied Sciences

Publications

Toward World Models for Epidemiology 2026

ICLR 2026 Workshop on World Models: Understanding, Modelling and Scaling Paper

Zeeshan Memon, Yiqi Su, Christo Kurisummoottil Thomas, Walid Saad, Liang Zhao, Naren Ramakrishnan

LUMINA: Foundation Models for Topology Transferable ACOPF 2026

ICLR Workshop on Foundation Models for Science Paper

Yijiang Li, Zeeshan Memon, Hongwei Jin, Stefano Fenu, Keunju Song, Sunash B Sharma, Parfait Gasana, Hongseok Kim, Liang Zhao, Kibaek Kim

On the Fundamental Limits of LLMs at Scale 2025

Preprint Paper

Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal, Zeeshan Memon, Muhammad Ibtsaam Qadir, Sagnik Bhattacharya, Hassan Rizwan, Abhiram R. Gorle, Maahe Zehra Kazmi, Nukhba Amir, Ali Subhan, Muhammad Usman Rafique, Zihao He, Pulkit Mehta, Muhammad Ali Jamshed, John M. Cioffi

Deep Causal Generative Models with Property Control 2025

Preprint Paper

Qilong Zhao, Shiyu Wang, Zeeshan Memon, Yang Qiao, Guangji Bai, Bo Pan, Zhaohui Qin, Liang Zhao

Deep Identification of Propagation Trees 2025

Preprint Paper

Zeeshan Memon, Chen Ling, Ruochen Kong, Vishwanath Seshagiri, Andreas Zufle, Liang Zhao

LLM-Informed Discrete Prompt Optimization 2024

ICML 2024 Workshop on LLMs and Cognition Paper

Zeeshan Memon, Muhammad Arham, Adnan Ul-Hasan, Faisal Shafait

Content-aware Urdu handwriting generation 2023

International Conference on Document Analysis and Recognition Paper

Zeeshan Memon, Adnan Ul-Hasan, Faisal Shafait

Services

Conference Reviewer/Program Committee

PC Member, IEEE International Conference on Data Science and Advanced Analytics 2025
PC Member, LLMs4Science @ AAAI 2025
Reviewer, KDD 2026

Journal Reviewer

Reviewer, IEEE Transactions on Big Data
Reviewer, IEEE Transactions on Computational Social Systems