Service | Invited Talks | Academic Research | Undergraduate Research | Teaching

Service

Invited Talks

• DOSSA-6 @ ISCA’24, Sixth International Workshop on Domain Specific System Architecture In conjunction with ISCA 2024,
  “On-Device Computing: Rain AI’s Mission for Energy-Efficient AI Hardware,” Buenos Aires, Argentina, June 2024
• UCI IAP Workshop, UC Irvine Industry-Academia Partnership Workshop,
  “On-Device Computing: Rain AI’s Mission for Energy-Efficient AI Hardware,” Irvine, CA, May 2024
• AMD, AMD Tech Talk,
  “Harnessing the Power of Edge Systems in a Data-Driven World,” Feb. 2024
• DARPA ERI 2.0 Summit, Novel Architectures for Neuro-Symbolic Computation Workshop,
  “Towards Intelligent Edge Devices,” Seattle, WA, Aug 2023
• University of Illinois Urbana-Champaign, Department of Computer Science,
  “Harnessing the Power of Edge Systems in a Data-Driven World,” Urbana, IL, May 2023
• Johns Hopkins University, Whiting School of Engineering,
  “Dealing with Data Deluge in Edge Systems,” Baltimore, MD, Mar. 2022
• Princeton University, Department of Electrical and Computer Engineering,
  “Dealing with Data Deluge in Edge Systems,” Princeton, NJ, Mar. 2022
• University of Southern California (USC), Department of Electrical and Computer Engineering,
  “Dealing with Data Deluge in Edge Systems,” Los Angeles, CA, Feb. 2022
• Pennsylvania State University, Department of Electrical Engineering and Computer Science,
  “How to Deal with Heavy Computations in the Edge?,” University Park, PA, Feb. 2021
• Georgia Institute of Technology, Department of Computer Science,
  “How to Deal with Heavy Computations in the Edge?,” Atlanta, GA, Feb. 2021

Academic Research

During my PhD studies, my research primarily focused on the field of computer science, with a particular emphasis on managing data in edge systems. I strived to establish guidelines that navigate the trade-offs between hardware and software for the next generation of these systems. To effectively address the unique constraints presented by edge systems, my work involved the development of innovative machine learning techniques and the exploitation of hardware-software synergy.

^{[Overview of my PhD Research] [Last updated Jan. 2024]}

Undergraduate Research

I enjoyed working closely with our talented undergraduate students during my PhD. Together, we achieved significant milestones and our collaborative efforts resulted in several publications. You can find the main website here, HPArch Undergraduate Research, although please note that it is no longer actively maintained. Feel free to explore the exciting final demos from our one or two semesters of hard work: [SysML’19] [FPL’19] [Summer’19] [Spring’20-1] [Spring’20-2]

Teaching

My teaching journey began in high school, where seniors passed on knowledge for the astronomy Olympiad, covering integrals, advanced calculus, differential equations, astrophysics, cosmology, thermodynamics, and much of the undergraduate physics curriculum.

During my undergraduate studies in electrical engineering, I served as a teaching assistant (TA) for 12 courses, mainly in computer architecture. In my senior year, I managed the Microprocessor Systems Laboratory at Sharif, the only resource available to undergraduates for Altera and Xilinx FPGA boards, MCUs, and processors faster than 8051.

While pursuing my PhD at Georgia Tech, I served as a TA for three courses and taught an advanced senior-level course in computer architecture as the primary instructor for two consecutive summers. The websites for these courses are listed below.

• Summer 2020: Instructor, Georgia Tech, CS4290 Advanced Computer Organization
• Summer 2019: Instructor, Georgia Tech, CS4290 Advanced Computer Organization