Abhinav Goel
Computer Science · Purdue University West Lafayette
Publications
54
Citations
350
Est. group size
~5
Recurring co-author estimate
Active years
22
Publishing since 2005
This researcher's work spans efficient neural network design (e.g., compact on-chip models, symmetry-aware/equivariant networks, large language model pretraining) and applied systems research including autonomous driving power management, blockchain smart contract generation and evaluation with large language models, sensor networks, and hardware verification. Recent work concentrates on using large language models for code generation and evaluation, particularly for blockchain smart contracts, alongside foundational machine learning topics like model efficiency and symmetry-based network design. The overall body of work suggests a shift over time from sensor networks and embedded systems topics toward more current large language model and AI-agent applications.
Publication output has been variable over the last decade, with peaks around 2020 and 2022, a dip in 2023-2024, and a recent increase in 2025-2026, suggesting a resurgence rather than a steady or purely growing trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications
arXiv (Cornell University) · 2026
- An end-to-end agentic pipeline for smart contract translation and quality evaluation
Open MIND · 2026
- An end-to-end agentic pipeline for smart contract translation and quality evaluation
arXiv (Cornell University) · 2026
- Any-Subgroup Equivariant Networks via Symmetry Breaking
arXiv (Cornell University) · 2026
- Any-Subgroup Equivariant Networks via Symmetry Breaking
arXiv (Cornell University) · 2026
- SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications
arXiv (Cornell University) · 2026
- Pretraining Large Language Models with NVFP4
arXiv (Cornell University) · 2025
- Anime Based on Content-Based Filtering
2023
- Dynamic Adjustment of Concurrent Neural Networks within Limited Power Thermal Constraints in Autonomous Driving
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) · 2021
- Techniques for Improvement of Studentsâ Performance in Examination
Research & Reviews: Journal of Educational Studies · 2021
- UVM based Controller Area Network Verification IP (VIP)
2020 International Conference on Smart Electronics and Communication (ICOSEC) · 2020
- CompactNet: High Accuracy Deep Neural Network Optimized for On-Chip Implementation
2018
- Visual positioning system for automated indoor/outdoor navigation
2017
- Secured and energy efficient architecture for sensor networks
2016
- RFID sensor network based pervasive computing
2016
- arXiv (Cornell University)×15
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems×1
- ACM Transactions on Design Automation of Electronic Systems×1
- Empirical Software Engineering×1
- IEEE Signal Processing Letters×1
- Caleb Tung
Computer Science · Purdue University West Lafayette
- Nicholas Eliopoulos
Computer Science · Purdue University West Lafayette
- Tai-Yu Pan
Computer Science · The Ohio State University
- Shujon Naha
Computer Science · Indiana University
- Xiangyu Zhang
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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