Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events. - Farshad Safavi; Tashnim Chowdhury; Maryam Rahnemoonfar (IEEE BigData, 2021)

Efficient Semantic Segmentation on Edge Devices. - Farshad Safavi; Irfan Ali; Venkatesh Dasari; Guanqun Song; Ting Zhu 001 (CoRR, 2022)

Towards Efficient Deep Learning Models for Facial Expression Recognition using Transformers. - Farshad Safavi; Kulin Patel; Ramana Kumar Vinjamuri (BSN, 2023)

Efficient Large-Scale Damage Assessment After Natural Disasters With UAVS and Deep Learning. - Maryam Rahnemoonfar; Farshad Safavi (IGARSS, 2023)

Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events. - Farshad Safavi; Maryam Rahnemoonfar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Deep Multimodal Emotion Recognition: Fusion of Facial Features and Neurophysiological Signals. - Farshad Safavi; Vikas Reddy Venkannagari; Ramana Kumar Vinjamuri (BSN, 2024)

Transformer-Based Emotion Recognition with EEG. - Kulin Patel; Farshad Safavi; Rajarathnam Chandramouli; Ramana Vinjamuri (EMBC, 2024)

Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency. - Arnab Neelim Mazumder; Farshad Safavi; Maryam Rahnemoonfar; Tinoosh Mohsenin (ACM Trans. Embed. Comput. Syst., 2024)

Emerging Frontiers in Human-Robot Interaction. - Farshad Safavi; Parthan Olikkal; Dingyi Pei; Sadia Kamal; Helen Meyerson; Varsha Penumalee; Ramana Vinjamuri (J. Intell. Robotic Syst., 2024)

Deep Fusion of Neurophysiological and Facial Features for Enhanced Emotion Detection. - Farshad Safavi; Vikas Reddy Venkannagari; Dev Parikh; Ramana Kumar Vinjamuri (IEEE Access, 2025)