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

Service

Organization & Program CommitteeReviewer
ISCA 2025, Industry Track Program CommitteeIEEE Transactions on Mobile Computing
HPCA 2025, Program CommitteeIEEE Internet of Things Journal
ICCD 2024, Program CommitteeSpringer Journal of Supercomputing
MICRO 2024, External Review CommitteeIEEE Transactions on Services Computing
ISCA 2024, Industry Track Program CommitteeIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
DAC 2024, Program CommitteeACM Transactions on Architecture and Code Optimization
HPCA 2024, Program CommitteeIEEE/ACM Transactions on Networking
DeLTA 2024, Program CommitteeIEEE Transactions on Vehicular Technology
ISCA 2023, Program CommitteeIEEE Journal on Emerging and Selected Topics in Circuits and Systems]
MICRO 2022, Artifact EvaluationIEEE Access
ISCA 2022, External Review CommitteeIEEE Micro
ASPLOS 2022, External Review CommitteeIEEE Transactions on Computers
Georgia Tech ArchiTECH 2016, Organization CommitteeScienceDirect Engineering Applications of Artificial Intelligence
Submission Co-ChairJudge
MICRO Top Picks 2020Honeywell STEM Challenge at Georgia Tech, 2019 & 2020
MICRO 2018Georgia Tech President’s Undergraduate Research Awards (PURA), 2016, 2017, 2018, 2019 & 2020
Community
Mentor Portfolio Project, AI4ALL, 2024
Student Volunteer for PACT’20 (IEEE/ACM), 2020
Student Chaperone for PhD Visit Days (Georgia Tech), 2015

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 [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

I derive my enjoyment in teaching not from the prestige that comes with the traditional teacher-student paradigm, but rather from the intellectual camaraderie shared among those with a common interest in certain subjects.

My teaching journey began in high school where I taught a range of topics from calculating planetary trajectories to cosmology. We had a self-funded tradition where seniors passed on knowledge to their juniors in the same way they were taught. This was primarily due to the fact that even the basic concepts required for our astronomy Olympiad (unlike those in mathematics or chemistry) were not covered in most high school curriculums. (To this day, I believe elliptic integrals may still be an unfamiliar concept to many!)

During my undergraduate years, I served as a teaching assistant (TA) for 12 courses, predominantly in the field of computer architecture. In my senior year, I managed our Microprocessor Systems Laboratory at Sharif, which was the only resource for undergraduates seeking FPGA boards, MCUs, and processors faster than the basic 8051.

While pursuing my PhD at Georgia Tech, I worked as a TA for 3 courses and taught an advanced course in computer organization (a senior-level course in computer architecture) as the primary instructor for two consecutive summers. Below are the websites of these courses.