Identification and Detection of Phishing Emails Using Natural Language Processing Techniques. - Shivam Aggarwal; Vishal Kumar; S. D. Sudarsan (SIN, 2014)

Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications. - Varun Jain; Shivam Aggarwal; Suril Mehta; Ramya Hebbalaguppe (CoRR, 2019)

Symmetric $k$-Means for Deep Neural Network Compression and Hardware Acceleration on FPGAs. - Akshay Jain 003; Pulkit Goel; Shivam Aggarwal; Alexander Fell; Saket Anand (IEEE J. Sel. Top. Signal Process., 2020)

Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay. - Kuluhan Binici; Shivam Aggarwal; Nam Trung Pham; Karianto Leman; Tulika Mitra (AAAI, 2022)

Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs. - Shivam Aggarwal; Alessandro Pappalardo; Hans Jakob Damsgaard; Giuseppe Franco; Thomas B. Preußer; Michaela Blott; Tulika Mitra (CoRR, 2023)

CRISP: Hybrid Structured Sparsity for Class-Aware Model Pruning. - Shivam Aggarwal; Kuluhan Binici; Tulika Mitra (DATE, 2024)

Evaluating Active-learning Based Performance Prediction of Parallel Applications. - Shivam Aggarwal; Preeti Malakar (e-Science, 2024)

Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs. - Shivam Aggarwal; Hans Jakob Damsgaard; Alessandro Pappalardo; Giuseppe Franco; Thomas B. Preußer; Michaela Blott; Tulika Mitra (FPL, 2024)

Condensed Sample-Guided Model Inversion for Knowledge Distillation. - Kuluhan Binici; Shivam Aggarwal; Cihan Acar; Nam Trung Pham; Karianto Leman; Gim Hee Lee; Tulika Mitra (CoRR, 2024)

Chameleon: Dual Memory Replay for Online Continual Learning on Edge Devices. - Shivam Aggarwal; Kuluhan Binici; Tulika Mitra (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference. - Yujie Zhang; Shivam Aggarwal; Tulika Mitra (DATE, 2025)

TerEffic: Highly Efficient Ternary LLM Inference on FPGA. - Chenyang Yin; Zhenyu Bai; Pranav Venkatram; Shivam Aggarwal; Zhaoying Li; Tulika Mitra (CoRR, 2025)

HALO: Hardware-aware quantization with low critical-path-delay weights for LLM acceleration. - Rohan Juneja; Shivam Aggarwal; Safeen Huda; Tulika Mitra; Li-Shiuan Peh (CoRR, 2025)