CV

Postdoctoral Fellow – RTL & SoC Design

KoLab, University of Saskatchewan

• I am currently researching novel RISC-V vector co-processors for cycle accurate private AI inference and training at Edge for healthcare applications. We are targeting a ~20% decrease in energy consumption compared to the exiting state-of-the-art co-processors.
• I am working closely with industry partners to enable next-gen AI accelerator ASIC SoCs with built-in differential privacy to enable private AI in wearables and mobile devices. Reducing the differential privacy overhead by ~30-40%.
• I designed custom RTL accelerators for AI accelerationa at Edge improving throughput by ~20% under fixed power budgets.
• I develop reusable, parameterized RTL IP blocks integrated into RISC-V–based SoC platforms for tightly coupled co-processors for secure AI inference at Edge.
• I optimized datapaths and memory interfaces, reducing latency and on-chip memory traffic by ~20% in multiple approximate computation units for AI inference and training on FPGA and ASIC SoCs.

Doctoral Researcher, Electrical and Computer Engineering

KoLab, University of Saskatchewan

PhD research under Dr. Seok-Bum Ko focused on efficient, reliable, and secure computing architectures for edge AI systems.

• Nominated for the Best Thesis Defence Award (2026). Awaiting decision.
• I designed novel RTL approximate compute units achieving 30–60% reductions in area and power versus baseline designs for AI inference at Edge.
• I implemented multi-precision and reconfigurable datapaths enabling up to ~50% compute cost reduction for AI trianing workloads.
• I developed RTL blocks validated through simulation and FPGA prototyping using synthesis-driven flows for AI accelerator design with native differential privacy.

Sessional Lecturer & Graduate Teaching Fellow (ECE)

University of Saskatchewan

Teaching and curriculum delivery for undergraduate computer architecture and networking courses.

• Lecturer for CME 334: Network Architecture Design (3 credit hours), teaching cohorts of 10–40 students.
• Delivered lectures, designed assessments, and supervised labs covering modern network architectures.
• Graduate Teaching Fellow and Teaching Assistant for CME 433: Computer Architecture Design (40 students).
• Mentored students across three academic years (2022–2024), supporting labs, grading, and project guidance.

Research Assistant

National University of Sciences and Technology (NUST)

Early-stage research in computer architecture under the supervision of Dr. Rehan Ahmed.

• Pioneered RISC-V architecture research at NUST.
• Contributed to the design of Pakistan’s first in-house RISC-V microcontroller.
• Supported RTL development and architectural validation for custom processor designs.

PhD

University of Saskatchewan

Electrical and Computer Engineering

• CGPA: 93.167% (3.98/4.00)
• Thesis: Design of Next-Generation Hardware-Accelerated Edge AI Engines for Privacy Preservation
• Supervisor: Dr. Seok-Bum Ko

Bachelor of Science

National University of Sciences and Technology (NUST)

Electrical Engineering (Computer Engineering)

• CGPA: 3.68/4.00
• Final Year Project: Object-Avoiding Autonomous Drone for Humanitarian Operations
• Advisor: Dr. Rehan Ahmed

Power-Efficient and Reconfigurable Compute Unit for Multi-Precision AI Inference at the Edge

Memory-Efficient Differential Privacy Accelerator

Exploring Hardware-Driven Privacy Techniques for Trustworthy Machine Learning

Optimized Transformer Models: ℓ′ BERT with CNN-like Pruning and Quantization

Is Neuromorphic Computing the Key to Power-Efficient Neural Networks: A Survey

Decoder Reduction Approximation Scheme for Booth Multipliers

Booth-Encoding-Based Energy-Efficient Multipliers for Deep Learning Systems

Best PhD Defense (Nomination)

Nominated by the PhD Defense Committee in recognition of the quality, originality, and technical depth of the doctoral thesis.

Teacher-Scholar Doctoral Fellowship

Competitive fellowship awarded for excellence in teaching and scholarship, supporting instruction of a 3rd-year undergraduate engineering course.

Graduate Teaching Fellowship

Selected to serve as a Graduate Teaching Fellow under the supervision of Dr. Seok-Bum Ko, contributing to course delivery and student mentorship.