Curriculum Vitae
🎓 Education
Ph.D. in Electrical and Computer Engineering
University of Illinois at Urbana-Champaign (UIUC), USA
January 2019 - May 2024
Advisor: Prof. Rakesh Kumar
Dissertation: “Hardware Acceleration of Neural Graphics”
Bachelor of Science in Electrical Engineering
National University of Sciences and Technology (NUST), Pakistan
September 2013 - July 2017
💼 Professional Experience
AMD • Advanced Rendering Research Group
Senior Member of Technical Staff (SMTS)
June 2024 - Present
- Hardware acceleration for neural graphics and generative AI applications
- Advanced rendering research focusing on Graphics and ML
Intel Corporation • Graphics Research Organization (GRO)
Graduate Research Intern (Full-time)
May 2023 - June 2024
Manager: Anton Kaplanyan
- Hardware Acceleration of Stable Diffusion
Intel Corporation • Next-Gen Architecture (NGA)
Graduate Research Intern (Part-time)
August 2022 - May 2023
Manager: Maxim Kazakov
- Hardware Acceleration of Neural Graphics
Intel Corporation • Graphics Research Organization (GRO)
Graduate Research Intern (Full-time)
May 2022 - August 2022
Manager: Anton Kaplanyan
- Hardware Acceleration of Neural Graphics
Intel Labs • Cloud System Research Lab
Graduate Research Intern (Part-time)
December 2021 - May 2022
Manager: Nilesh Jain
- Hardware Acceleration of Neural Radiance Fields
Intel Labs • Heterogeneous Platforms Lab (HPL)
Graduate Research Intern (Full-time)
May 2021 - August 2021
Manager: Tanay Karnik
- Render-aware super-resolution for cloud gaming
- Hardware support for DL-based super resolution
- Compiler design for custom accelerators
UIUC • Coordinated Science Laboratory (CSL)
Graduate Research Assistant
January 2019 - May 2024
Advisor: Prof. Rakesh Kumar
Research Projects:
- Hardware Acceleration of Stable Diffusion
- Hardware Acceleration of Neural Graphics → ISCA-50th, 2023
- Low Cost Hardware Encryption in Flexible Electronics → DATE 2023
- Rethinking Programmable Earable Processors → ISCA-49th, 2022
- Printed Machine Learning Classifiers → MICRO-53rd, 2020
- Printed Microprocessors → ISCA-47th, 2020
National Electronics Complex of Pakistan (NECOP)
RF and Microwave Design Engineer - Assistant Manager
July 2017 - October 2018
- Designed IMF Receiver, Antennas for Phased Array Radar
- Developed Branched Line Hybrid Coupler, Power Dividers, and Band Pass Filters for X-Band Applications
MERL - NUST
Research Intern
June 2016 - July 2017
- Designed and Developed Low Cost Short Range FMCW Radar
- Award: Second Position in Rector’s Gold Medal Competition
🏆 Honors & Awards
2024
- Dan Vivoli Endowed Fellowship (2024-2025)
- IEEE Micro Top Picks - Honorable Mention (Space Microdatacenters)
2023
- Machine Learning and Systems Rising Star - Harvard, Google, Nvidia, MLCommons
- ISCA 50-year Retrospective - Selected for Printed Microprocessors paper
2021
- IEEE Micro Top Picks - Honorable Mention (Printed ML Classifiers)
2018
- Prime Minister’s Silver Medal, NUST-CEME
2014-2017
- NECOP Fellowship
- High Achievers Award, NUST-CEME
- Golden Star Award, NUST-CEME
- NUST GPA Scholarships
🔧 Technical Skills
Programming Languages
- SystemVerilog, Python, C++, Bash
Tools & Frameworks
- TensorFlow, PyTorch
- Synopsis Design-Compiler
- GEM5 Simulator
- Cadence (Place & Route, Stratus-HLS)
- HPVM, Git, Xilinx
- Scikit-Learn
📚 Publications
Conference Papers
- Space Microdatacenters - MICRO-56, 2023 🏆
- Hardware Acceleration of Neural Graphics - ISCA-50, 2023
- Exploiting Short Application Lifetimes for Low Cost Hardware Encryption - DATE 2023
- Rethinking Programmable Earable Processors - ISCA-49, 2022
- Printed Machine Learning Classifiers - MICRO-53, 2020 🏆
- Printed Microprocessors - ISCA-47, 2020 ⭐
Preprints
- Understanding Interactions Between Chip Architecture and Uncertainties in Semiconductor Supply - arXiv 2023
View detailed publication list →
🎤 Selected Talks
- ISCA 2023: “Hardware Acceleration of Neural Graphics” Slides • Video
- UIUC 2023: “Neural Graphics: An Architecture’s Perspective” Slides
- MICRO 2020: “Printed Machine Learning Classifiers” Video
- UIUC 2021: “Hardware for Deep Learning” Slides
🤝 Professional Service
Program Committee Member
- HPCA 2025 (31st International Symposium on High-Performance Computer Architecture)
Workshop Organization
- Co-organizer: “Emerging Vision and Graphics Systems and Architectures (EVGA)” @ ISCA 2024
Community Leadership
- ML and Systems Rising Stars Program
📖 Graduate Coursework
- Deep Learning in Hardware (ECE-598NSG)
- App-Cust Heterogeneous Systems (CS-598SVA)
- Advanced Computer Architecture (ECE-511)
- Parallel Computer Architecture (CS-533)
- Energy Efficient Computer Architecture (CS-598JT)
- Advanced Computer Security (ECE-524/CS-563)
- Architecture for Mobile and Edge Computing (CS498ME)
- Languages and Compilers for Edge Computing (CS598LCE)
- Advanced Memory and Storage Systems (ECE598MS)
- 3D Vision (CS598DWH)
- Accelerator Architectures (ECE498SJP)
Last updated: January 2026