activity
20122026
most citedA Convex Framework for Optimal Investment on Disease Awareness in Social Networks

40 citations · 158 across the 22 of their papers we have counts for

collaborators

30 papers

cs.AI2026

From Document Silos to Process Intelligence: A Multi-Layer Knowledge Graph for CMC Process Development

Reza Amirmoshiri, Faryad Sahneh, Yasser Jangjou

Chemistry, Manufacturing and Controls (CMC) process development generates an enormous body of technical information across a multi-stage, knowledge-intensive continuum from drug di…

cs.SI2025

EpidemIQs: Prompt-to-Paper LLM Agents for Epidemic Modeling and Analysis

Mohammad Hossein Samaei, Faryad Darabi Sahneh, Lee W. Cohnstaedt +1

Large Language Models (LLMs) offer new opportunities to accelerate complex interdisciplinary research domains. Epidemic modeling, characterized by its complexity and reliance on ne…

cs.CL2025★ 3 cited

Multimodal Medical Code Tokenizer

Xiaorui Su, Shvat Messica, Yepeng Huang +5

Foundation models trained on patient electronic health records (EHRs) require tokenizing medical data into sequences of discrete vocabulary items. Existing tokenizers treat medical…

cs.SI2024

FastGEMF: Scalable High-Speed Simulation of Stochastic Spreading Processes over Complex Multilayer Networks

Mohammad Hossein Samaei, Faryad Darabi Sahneh, Caterina Scoglio

Predicting the spread of processes across complex multi-layered networks has long challenged researchers due to the intricate interplay between network structure and propagation dy…

cs.CL2024★ 1 cited

Many-Shot In-Context Learning for Molecular Inverse Design

Saeed Moayedpour, Alejandro Corrochano-Navarro, Faryad Sahneh +14

Large Language Models (LLMs) have demonstrated great performance in few-shot In-Context Learning (ICL) for a variety of generative and discriminative chemical design tasks. The new…

cs.DS2023

Multi-Priority Graph Sparsification

Reyan Ahmed, Keaton Hamm, Stephen Kobourov +3

A \emph{sparsification} of a given graph is a sparser graph (typically a subgraph) which aims to approximate or preserve some property of . Examples of sparsifications inclu…