On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers. - Morteza Hosseini; Mark Horton; Hiren Paneliya; Uttej Kallakuri; Houman Homayoun; Tinoosh Mohsenin (DAC, 2019)

Minimizing Classification Energy of Binarized Neural Network Inference for Wearable Devices. - Morteza Hosseini; Hirenkumar Paneliya; Utteja Kallakuri; Mohit Khatwani; Tinoosh Mohsenin (ISQED, 2019)

CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection. - Hasib-Al Rashid; Arnab Neelim Mazumder; Utteja Panchakshara Kallakuri Niyogi; Tinoosh Mohsenin (AICAS, 2021)

A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference. - Arnab Neelim Mazumder; Jian Meng; Hasib-Al Rashid; Utteja Kallakuri; Xin Zhang 025; Jae-Sun Seo; Tinoosh Mohsenin (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. - Aidin Shiri; Uttej Kallakuri; Hasib-Al Rashid; Bharat Prakash; Nicholas R. Waytowich; Tim Oates 001; Tinoosh Mohsenin (ACM Trans. Design Autom. Electr. Syst., 2022)

Resource-Aware Saliency-Guided Differentiable Pruning for Deep Neural Networks. - Uttej Kallakuri; Edward Humes; Tinoosh Mohsenin (ACM Great Lakes Symposium on VLSI, 2024)

TinyM2Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks. - Hasib-Al Rashid; Utteja Kallakuri; Tinoosh Mohsenin (ACM Trans. Embed. Comput. Syst., 2024)

ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge. - Mikolaj Walczak; Uttej Kallakuri; Tinoosh Mohsenin (AAAI Spring Symposia, 2025)

RAFT: Robust Augmentation of FeaTures for Image Segmentation. - Edward Humes; Xiaomin Lin; Uttej Kallakuri; Tinoosh Mohsenin (CoRR, 2025)

Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding. - Mingyang Mao; Mariela M. Perez-Cabarcas; Utteja Kallakuri; Nicholas R. Waytowich; Xiaomin Lin; Tinoosh Mohsenin (CoRR, 2025)