I am looking for 1-2 PhD students for Fall 2025

Ph.D

General Information

Electrical engineering
English
3

Position Details

Ph.D
48 month
27000 USD
115 USD
Sep 15, 2024 17 Months ago
Jan 01, 2025 13 Months ago

About the Position

I am looking for 1-2 PhD students for Fall 2025 and 1-2 research interns for Fall’24/Spring’25 to work on photonic AI system design and AI-assisted Electronic-photonic design automation at Arizona State University ECEE. Ideal candidates are those with Bachelor/Master’s degree in EE/CS/CE.(1) Efficient, reliable, high-performance electronic-photonic AI computing systems · Topics: improve energy efficiency, reliability, performance, and adaptability of emerging heterogeneous electronic-photonic AI systems via cross-layer circuit/architecture/system co-design and hardware/algorithm co-optimization; Compiling toolchain for emerging AI hardware. · Require: basic digital/analog circuit and numerical optimization knowledge, solid understanding of computer architecture and ML algorithms, and good programming skills.(2) AI-assisted emerging hardware design automation · Topics: intelligent photonic hardware design and physical design automation + ML for CAD; AI-assisted scientific computing (hardware simulation and inverse design + Sci-ML for physics); · Require: solid understanding of AI/ML algorithms and optimization methods; Good programming and mathematical skills.

Research Interests

  • AI computing
  • electronic-photonic

About the Professor

Bio

Dr. Gu received his Ph.D. degrees, under the supervision of Prof. David Z. Pan and Prof. Ray T. Chen, in Electrical and Computer Engineering from The University of Texas at Austin, Austin, TX, USA, in 2023. He has broad research interests spanning from emerging hardware design for efficient computing (photonics, post-CMOS electronics, quantum), hardware-algorithm co-design, efficient AI/ML algorithms, and electronic-photonic design automation. Dr. Gu has authored 80+ peer-reviewed international journal/conference papers in above area. He has received Best Paper Award at ASP-DAC 2020, selected as one out of 6 Best Paper Finalists at DAC 2020, won First Place at the ACM/SIGDA Student Research Competition (SRC) held at ICCAD 2020, received the Best Poster Award at NSF Workshop on Machine Learning Hardware 2020, won First Place at the ACM Student Research Competition Grand Finals 2021, received the Best Paper Award at IEEE TCAD 2021, won the Robert S. Hilbert Memorial Optical Design Competition 2022, won Margarida Jacome Dissertation Prize at UT Austin ECE (2023), and won Outstanding Dissertation Award at UT Austin (2024). He served as a technical committee member for ICCAD 2023 and technical reviewers for over 18+ international journals/conferences, such as IEEE TCAD, TODAES, DAC, ICCAD, ISVLSI, GLVLSI, IEEE TPAMI, IEEE TNNLS, NeurIPS, CVPR, ICCV, ECCV, AAAI, IROS, Nature Communications, Science Advances, IEEE JSTQE, APL, IEEE PTL, etc. He also served as the Technical Program Committee member of ICCAD, ICCD, etc.

Professor's Interests
AI/ML algorithms Efficient computing Efficient AI Hardware & Algorithm Photonic Computing EDA

Duties and Responsibilities

  • Ideal candidates are those with Bachelor/Master’s degree in EE/CS/CE.
  • AI-assisted emerging hardware design automation
  • Efficient, reliable, high-performance electronic-photonic AI computing systems

Exam Requirements

GRE-General
Verbal
150 Percentile 60
Quantitative
160 Percentile 60
Writing
3.5 Percentile 50
IELTS
Listening
6
Reading
6
Writing
6
Speaking
6
Overall
6.5
TOEFL
Listening
20
Reading
20
Writing
20
Speaking
20
Overall
80