PhD & Masters by Research Applicant

Rifat Ahmed,
building resilient
intelligent systems.

Mechatronics engineer working at the intersection of machine learning, industrial IoT, and operations research. Interested in fault-tolerant systems for smart manufacturing — machines that know when they are failing, and recover gracefully.

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01About / Research

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I recently completed my B.Sc. in Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology (CUET), where my thesis applied Fuzzy AHP and BWM to facility-location problems for mobile manufacturing in Bangladesh.

My research now focuses on combining deep learning with classical industrial engineering — building systems that detect bearing faults across noisy operating conditions, schedule production under partial observability, and remain robust when the world stops behaving like the training set.

I am applying to PhD and Masters-by-Research programs to continue this work in a research-lab environment.

Smart Manufacturing Machine Learning Fault Detection Industrial IoT Computer Vision Reinforcement Learning Operations Research

02Publications

Selected work, peer-reviewed and in submission.

2025 Published — IEEE

Portable Network-Connected Monitoring Device for EV Induction Motors Using ESP32 and Raspberry Pi with Multi-Sensor Data

R. Ahmed, J. I. Haider, M. Hasan, A. K. Debnath, W. Ahmed, S. Uddin

IEEE EICT 2025

View on IEEE Xplore →

2026 Under review

Robustness-Aware Comparative Analysis of Deep Learning Architectures for Bearing Fault Detection Across Input Representations and Operating Conditions

R. Ahmed

PEEIACON 2026 (IEEE Conference)

2026 Under review

Fault-Tolerant Reinforcement Learning for Real-Time IoT-Driven Scheduling in Smart Manufacturing: A POMDP-Based Belief State Approach

R. Ahmed

PEEIACON 2026 (IEEE Conference)

03Projects

Things I have built, in detail.

Image-Processing Object Sorting Robot

Automated pick-and-sort robotic system on Raspberry Pi with OpenCV for real-time shape detection. Integrates camera-based recognition, servo gripping, and DC-motor turning to sort objects by their geometric features.

Raspberry PiOpenCVRobotics

Repo →

ii.

Data-Driven Retail Inventory Management

End-to-end inventory analytics pipeline for demand forecasting and stockout-risk prediction, paired with EOQ/ROP-based replenishment recommendations. Includes a dashboard for monitoring inventory status.

ForecastingORDashboard

Repo →

iii.

Skin Disease Classification Web App

CNN-based skin-lesion classifier trained on the HAM10000 dataset, deployed with a Flask API and React frontend for real-time prediction through an interactive diagnostic interface.

CNNFlaskReact

Repo →

04Education

Feb 2019 — Jun 2024

B.Sc. in Mechatronics and Industrial Engineering

Chittagong University of Engineering & Technology (CUET)

CGPA 3.26 / 4.00 · Junior–Senior CGPA 3.57 / 4.00

Thesis — Optimum Location Selection for Mobile Manufacturing Facilities in Bangladesh: A Fuzzy AHP and BWM Approach.
Supervisor: Dr. Jamal Uddin Ahamed, CUET.

05Photography / Hobby

Outside the lab — looking through a lens.

When I am not buried in models or papers, I am usually somewhere with a camera. The coast, the hills, an unfamiliar village — anywhere the light is doing something interesting. Photography is how I rest, and how I pay attention to the world without trying to optimize it.