Design optimization for resilience for risk-averse firms. - Ramin Giahi; Cameron A. MacKenzie; Chao Hu (Comput. Ind. Eng., 2020)

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. - Reza Yousefi Maragheh; Ramin Giahi; Jianpeng Xu; Lalitesh Morishetti; Shanu Vashishtha; Kaushiki Nag; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (IEEE Big Data, 2022)

Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. - Najmeh Forouzandehmehr; Yijie Cao; Nikhil Thakurdesai; Ramin Giahi; Luyi Ma; Nima Farrokhsiar; Jianpeng Xu; Evren Körpeoglu; Kannan Achan (IEEE Big Data, 2023)

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. - Ramin Giahi; Reza Yousefi Maragheh; Nima Farrokhsiar; Jianpeng Xu; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICDM (Workshops), 2023)

Dynamic Decision Making in Engineering System Design: A Deep Q-Learning Approach. - Ramin Giahi; Cameron A. MacKenzie; Reyhaneh Bijari (CoRR, 2023)

Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference. - Najmeh Forouzandehmehr; Nima Farrokhsiar; Ramin Giahi; Evren Körpeoglu; Kannan Achan (CoRR, 2024)

VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. - Ramin Giahi; Kehui Yao; Sriram Kollipara; Kai Zhao; Vahid Mirjalili; Jianpeng Xu; Topojoy Biswas; Evren Körpeoglu; Kannan Achan (CoRR, 2025)