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Daniel Holcomb

Assistant Professor

My group's research investigates methodologies for secure and reliable embedded systems. Our work toward this goal spans computer engineering topics including formal verification, automation, VLSI design.

Current Research
Current projects are on security for FPGAs, testchip implementations of low-power security primitives, obfuscation and reverse engineering, and supply chain security.

Learn more at ece.umass.edu/faculty/daniel-holcomb

Academic Background

  • BS/MS, ECE UMass Amherst
  • PhD EECS, UC Berkeley
  • Research Fellow, University of Michigan
S N Dhanuskodi, X Li, D Holcomb "COUNTERFOIL: Verifying Provenance of Integrated Circuits using Intrinsic Package Fingerprints and Inexpensive Cameras", USENIX security 2020
G Provelengios, D Holcomb, R Tessier "Characterizing Power Distribution Attacks in Multi-User FPGA Environments", International Conference on Field-Programmable Logic and Applications (FPL), 1-8, 2019.
MA Usmani, S Keshavarz, E Matthews, L Shannon, R Tessier, D Holcomb “Efficient PUF-Based Key Generation in FPGAs using Per-Device Configuration”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Feb. 2019.
N. K. Dumpala, S. B. Patil, D. Holcomb, and R. Tessier, “Loop Unrolling for Energy Efficiency in Low-Cost FPGAs” ACM Transactions on Reconfigurable Technology and Systems, Jan. 2019
H Jiang, C Li, R Zhang, P Yan, P Lin, Y Li, JJ Yang, D Holcomb, Q Xia “A Provable Key Destruction Scheme Based on Memristive Crossbar Arrays”, Nature Electronics, Oct 12 2018.
X Xu, S Keshavarz, D Forte, M Tehranipoor, D Holcomb “Bimodal Oscillation as a Mechanism for Autonomous Majority Voting in PUFs”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Aug. 2018.
S Keshavarz, C Yu, S Ghandali, X Xu, D Holcomb “Survey on Applications of Formal Methods in Reverse Engineering and Intellectual Property Protection”, Journal of Hardware and Systems Security, pp 1-11, Aug. 2018.
R Zhang, H Jiang, ZR Wang, P Lin, Y Zhuo, D Holcomb, DH Zhang, JJ Yang, Q Xia “Nanoscale diffusive memristor crossbars as physical unclonable functions”, Nanoscale, pp 2721-2726, Jan. 2018.
Contact Info

Department of Electrical and Computer Engineering
309H Knowles Engineering Bldg
151 Holdsworth Way
Amherst, MA 01003-9292

(413) 545-6593