Research
My research broadly focuses on the design and optimization of unconventional (more-than-Moore) architectures and technologies for energy-efficient, reliable, and secure computing, for a wide scope of platforms including embedded systems, internet-of-things (IoT), and high-performance computing systems. More specific more-than-Moore technology interests include (1) Silicon photonics; (2) Optical computing; (3) Neuromorphic computing; (4) In-memory computing; (5) Stochastic computing; (6) Monolithic 3D (M3D) integration; (7) Polymer and transparent conductive oxides based photonic devices and sensors.
Citations and publications are listed at: [Google Scholar] [DBLP]
List of Past and Ongoing Research Projects:
- Extreme-Scale Optical Computing (Beyond Terascale Performance)
- In-Memory Computing
- Data Communication Security in Manycore Architectures
- Bit-Parallel Stochastic Computing
- Optoelectronic/Photonic Devices and Sensors
- Self-Adaptive Photonic Interconnects for Manycore Computing
- Adaptive data approximations for dynamic savings in static power consumption (selected publications: [C21], [J8])
- Cognitive circuit-level and link-level reconfigurations to improve reliability and energy efficiency under context variations (fabrication process, temperature, optical losses, and aging variations) (selected publications: [C22], [C16], [C14], [C9], [J6])
- Crosstalk noise analysis and mitigation (selected publications: [C19], [C9], [C6], [C5], [J9], [J4])
- Emerging Memory Technologies and Architectures
- Fine-grained TSVs based 3D-folded DRAM architectures (selected publications: [C3], [C1], [J3], [J2])
- Latency, reliability, and lifetime optimizations for emerging nonvolatile memory architectures (selected publications: [C25], [C17], [C10], [J5])
- Optical interfacing for high-speed memories (selected publications: [C1], [J3])
- Monolithic 3D (M3D) integrated memory architectures (selected publications: [C23])
Research Sponsors and Collaborators: