ACE² Lab (AI, Circuits & EDA · Automated Circuit Engineering) at Clemson University is dedicated to tackling three converging semiconductor challenges: transistor density limits, ASIC design cost explosion, and LLM inference scaling. Our research spans process-aware EDA frameworks for Monolithic 3D ICs, machine-learning-driven ASIC design automation, and custom Compute-in-Memory ASIC accelerators for efficient LLM inference at scale and on edge devices.

We collaborate with academic and industry partners across the U.S. and internationally, with funding from NSF (CAREER, CRII, FMSG, IRES, PFI-TT), USDA, and ND EPSCoR, totaling approximately $5.85M in competitive grants.

We focus on the following research thrusts:

  • EDA for Monolithic 3D IC (M3D-IC) — process-aware placement, routing, MIV utilization, and thermal modeling across stacked tiers
  • ML for ASIC Design Automation — graph neural networks, reinforcement learning, and LLMs for RTL generation and physical design
  • ASIC for LLM Acceleration — Compute-in-Memory architectures for transformer inference on edge hardware

Prospective Students

We are actively recruiting motivated Ph.D. and M.S. students with backgrounds in electrical or computer engineering, computer science, or related fields. Research areas include IC design automation, hardware for machine learning, monolithic 3D IC EDA, and power delivery networks.

To apply, please email umamaheswara.tida@ieee.org with:

  • CV / Resume
  • Unofficial transcripts
  • Brief statement of research interest
  • Preferred research area (IC design automation, HW for ML, 3D IC EDA, PDN)
  • GRE Quantitative score > 165
[2026/06] 📄 Paper accepted in ACS Analytical Chemistry — "High-throughput Printing-free Nucleic Acid Microarrays Using AC Electric Fields" by Wijesinghe, Balamurugan, Tida, and Nawarathna.
[2026/06] 🏛️ Dr. Tida is attending ISCA 2026 — the 53rd International Symposium on Computer Architecture, June 27 – July 1 at the Raleigh Convention Center, Raleigh, USA.
[2026/06] 🎓 Dr. Tida receives NSF REU funding to support Abhijna Kavasseri (Princeton University) on EDA automation for Monolithic 3D integration.
[2026/06] 🏛️ Dr. Tida attended the NSF EPSCoR Midwest Summit in Kansas City (June 7–9, 2026).
[2026/06] 🏛️ Dr. Tida attended the Future Manufacturing Conference in Washington D.C. (June 4–5, 2026).
[2026/06] 📄 Paper accepted at APPT 2026 (17th International Symposium on Advanced Parallel Processing Technology) — "SysVCoder: An LLM-Driven Framework for Systematic Generation of System-Level Design."
[2026/06] 📄 Paper published in High-Confidence Computing — "SoK: Towards a User-Centric, Privacy-Preserving, and Reliable AI Agent via On-Device LLM Personalization."
[2026/04] 🏆 Navya Goli wins 2nd place at the Agentic AI Design Verification Challenge at ISQED 2026, achieving the top score in Phase 2: Coverage Closure.
[2026/03] 🏛️ Dr. Tida attended the NSF Workshop on Agents for Chip Design Automation hosted at UCLA.
[2026/02] 📄 New paper: CQ-CiM — hardware-aware embedding shaping for robust CiM-based retrieval. Accepted at DAC 2026.
[2025/06] 🌐 Dr. Tida receives NSF IRES Award as Co-PI for international research experiences on RFID Sensing Systems with ML.
[2025/04] 📄 New preprint: ComplexVCoder — LLM framework for complex Verilog RTL generation (arXiv:2504.20653).
[2025/02] 🏆 Dr. Tida receives the NSF CAREER Award ($553K, 2025–2030) for process-aware EDA for M3D integration — awarded on first attempt.
[2025/01] 📄 Paper published in PLOS ONE: Automating amino acid identification in elliptical dichroism spectrometers with ML.
[2024] 📄 Two papers at ISVLSI 2024 on compact 6T-SRAM design and Monolithic 3D integration design considerations.
Dr. Umamaheswara Rao Tida
Dr. Umamaheswara Rao Tida
Director, ACE² Lab
Associate Professor of ECE
umamaheswara.tida@ieee.org (701) 231-5369

Director

Dr. Umamaheswara Rao Tida is an Associate Professor in the Holcombe Department of Electrical & Computer Engineering at Clemson University and Director of the ACE² Lab. He received his Ph.D. in Electrical Engineering from the University of Notre Dame in 2019, advised by Dr. Yiyu Shi, with a dissertation on Through-Silicon-Via inductors in 3D ICs. He earned his M.S. in Computer Engineering from the Missouri University of Science and Technology and his B.Tech. in Electronics and Communication Engineering from Acharya Nagarjuna University, India.

Before joining Clemson in 2026, he spent seven years as an Assistant Professor at North Dakota State University. His industry experience includes a research co-op at Intel Labs and a research internship with Intel's Signal and Power Integrity group, both in Hillsboro, OR. He has given invited talks at institutions including Georgia Tech and National Tsing Hua University.

His research has produced 1 book chapter, 13 journal articles, 22 conference papers, and 11 invited talks and presentations at leading universities and IEEE/ACM venues. His work is supported by NSF (CAREER, CRII, FMSG, IRES, PFI-TT), USDA, and ND EPSCoR, totaling approximately $5.85M in competitive grants. He received both the NSF CAREER Award (2025) and the NSF CRII Award (2021) on his first attempt, along with the College of Engineering Early Career Award (2025) and a Teaching Innovation Award (2023). He serves as an Associate Editor for Integration, the VLSI Journal.

He has graduated 1 Ph.D. and 5 M.S. thesis students, and currently advises 2 Ph.D., 3 M.S., and 2 undergraduate researchers.

🏛️ Holcombe Dept. of Electrical & Computer Engineering, Clemson University 📍 Clemson, SC 29634