VLSI design automation techniques, algorithms for low power and high performance integrated systems, VLSI fabrication variability and manufacturability, low power sensing strategies for real time tracking applications.
Ankur Srivastava has a joint appointment in the Electrical and Computer Engineering Department and ISR. He works in the VLSI Design Automation and Embedded Systems area. He received the B.S. in Electrical Engineering from Indian Institute of Technology Delhi in 1998, and the M.S. in Electrical and Computer Engineering from Northwestern University in 2000 and Ph.D. in Computer Science from University of California Los Angeles in 2002. He also recieved the Outstanding Dissertation Award from the Computer Science Department of UCLA in 2002. Dr Srivastava is a member of IEEE and ACM and also serves as reviewer for several journals including IEEE transactions on CAD and IEEE Transactions on VLSI. He is in the technical program committe for ICCAD, ICCD and GLSVLSI.
- Physically Unclonable Function (PUF) Enhancements Via Lithography and Design Partnership
- Developing and Applying Reuse Distance Analysis Techniques for Large-Scale Multicore Processors
- Optimization Algorithms for Large-scale, Thermal-aware Storage Systems
- NSF CIF: Information Theoretic Multi-Core Processor Thermal Profile Estimation
- NSF: Electrical-Thermal Co-Design of Microfluidically-Cooled 3D ICs
- AFOSR MURI: Security Theory for Nano-Scale Devices
- NSF: Optimization Schemes for Large Scale Digital Circuits in Presence of Fabrication Randomness