Dauda Mustapha - Neuromorphic Photonics Researcher Primary Profile
OPEN TO RESEARCH
Hi, I'm Dauda Mustapha
MSc Researcher — Energy-Efficient Computing & Neuromorphic Photonics

I work on energy-efficient computing across sensing and photonic hardware — from real-time signal processing on embedded MEMS sensors to photonic integrated circuits and neuromorphic photonics, where I focus on hardware-software co-design and non-volatile, low-energy photonic weight elements for optical neural networks.

About Me

I work on the boundary between device physics and the control policies that run on top of it — where efficiency isn't just an algorithm problem, it's a hardware one.

My MSc thesis found that a MEMS accelerometer's wake-transient response is a power-history state variable, not a constant — it drifts with the duty-cycling policy itself, meaning the control policy changes the very physical constraint it's scheduled against.

I'm now extending that physics-first, energy-efficient thinking into neuromorphic photonics — hardware-software co-design for non-volatile, low-energy photonic weight elements in optical neural networks.

When i'm not coding, i usually
read books 

Journey Through Time

A chronicle of my professional evolution and key milestones.

2025 - Present

Graduate Researcher — Safe Operating Map & Adaptive Duty-Cycling Controller

UESTC School of Mechanical and Electrical Engineering — Advisor: Prof. Wu Zhou

Developed a temperature-aware, uncertainty-banded safe operating map bounding duty-cycling of a precision closed-loop MEMS accelerometer (MMS-30), using Type A uncertainty evaluation and hardware falsification testing. Designed and validated a physics-constrained adaptive controller achieving up to 93% energy saving with zero measurement-integrity violations over tens of thousands of hardware-in-the-loop cycles.

2025 - Present

M.Sc. in Mechanical Engineering

University of Electronic Science and Technology of China (UESTC), Chengdu

GPA 4.00/4.00. Thesis: "Physics-Constrained, Energy-Aware Duty-Cycling of a Closed-Loop MEMS Accelerometer". Advisor: Prof. Wu Zhou.

April 2026 - May 2026

Research Engineer — Jinglian-01 All-Optical Switching Module

UESTC — Advisor: Dr. Wei

Developed technical documentation and manuscript materials for an all-optical switching module for AI compute networks, grounded in an in-depth analysis of the system architecture, to support IEEE journal submission. Contributed to the business plan, including risk-management and exit-strategy analysis, for the entrepreneurship competition submission.

Publications

"A Measured, Uncertainty-Banded Safe Operating Map for Duty-Cycling a Precision Closed-Loop MEMS Accelerometer" — submitted, IEEE Transactions on Instrumentation and Measurement, 2026.

"Physics-Constrained Adaptive Duty-Cycling of a Precision Closed-Loop MEMS Accelerometer" — in preparation, IEEE Sensors Journal, 2026.

Manuscript on the Jinglian-01 all-optical switching module — in preparation, 2026 (contributed to system understanding and analysis).

2024 - 2025

MATLAB Technical Lead

Federal University of Technology, Minna

Led team to 1st place, MATLAB National Competition, Nigeria — 2024.

2018 - 2024

B.Eng. in Mechanical Engineering

Federal University of Technology, Minna, Nigeria

First Class Honours, CGPA 4.67/5.0.

Awards & Honors

2nd Prize, New Generation Information Technology track, 15th "Challenge Cup" China College Students' Entrepreneurship Competition - 2026

2nd Prize, Innovation Track, Huawei Global Competition (Africa Region) - 2024

Certificate of Excellence, FUTMinna - 2022, 2021

GitHub Contributions

Contribution Activity

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