Portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 2 
Published in IEEE ISES 2024, 2024
Reconfigurable hardware architecture supporting multiple floating-point formats for neural network inference.
Recommended citation: Dixit, A. (2024). "A Reconfigurable Floating-Point Compliant Hardware Architecture for Neural Networks." IEEE ISES 2024.
Download Paper
Published in IEEE CCIS 2024, 2024
Federated learning framework with homomorphic encryption for secure hardware trojan detection at gate-level IP.
Recommended citation: Dixit, A. (2024). "Secure Federated Learning for Gate-Level IP Hardware Trojan Detection using Homomorphic Encryption." IEEE CCIS 2024.
Download Paper
Published in ISVLSI 2025, 2025
LSTM architecture optimization using CORDIC-based activation functions for keyword spotting.
Recommended citation: Dixit, A. (2025). "Resource-Efficient LSTM Architecture for Keyword Spotting with CORDIC-Activation." ISVLSI 2025.
Download Paper
Published in IEEE Embedded Systems Letters, 2025
Zero-shot attention mechanism for efficient GPT-2 acceleration on embedded systems.
Recommended citation: Dixit, A. (2025). "Zero Shot Attention based GPT-2 Accelerator for Resource-Constrained Embedded Platform." IEEE Embedded Systems Letters.
Download Paper
Published in VDAT 2025, 2025
Methodology for designing security-aware lightweight DNN accelerators.
Recommended citation: Dixit, A. (2025). "A Methodology for Security-Aware Lightweight Deep Neural Network Acceleration." VDAT 2025.
Download Paper
Published in WECON 2025, 2025
Research on evaluating functional coverage of accelerator design for decision tree-based ML implementations.
Recommended citation: Dixit, A. (2025). "Evaluating Functional Coverage of Accelerator Design for DT-based ML Implementations." WECON 2025.
Download Paper
Published in IEEE ISCAS 2026, 2026
Graph-based approach for dynamic key-value cache compression to optimize transformer inference efficiency.
Recommended citation: Dixit, A. (2026). "A Graph-Based Methodology for Dynamic KV-Cache Compression in Transformer Inference." IEEE ISCAS 2026.
Download Paper
Published in IEEE ISCAS 2026, 2026
Reconfigurable multiply-accumulate unit supporting multiple precision formats with bin-based FP8 accumulation for edge AI applications.
Recommended citation: Dixit, A. (2026). "A Reconfigurable Multi Precision MAC with Bin Based FP8 Accumulation for Edge AI." IEEE ISCAS 2026.
Download Paper
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.