Biomedical & Systems Engineering

Ahmed M.
Salaheldin, PhD

Assistant Professor — AI for Medical Imaging & Assistive Technology

I build AI systems that read medical images and physiological signals — from grading papilledema in retinal scans to real-time seizure and rehabilitation monitoring — and I teach the next group of engineers to do the same.

ahmed.sal.bme@gmail.com Google Scholar LinkedIn ResearchGate
Portrait of Ahmed M. Salaheldin
FIG. 01PORTRAIT

Focus areas

Three fields, one throughline: AI for real clinical impact

Bridging engineering, artificial intelligence, and clinical practice.

Selected work

Featured publications

Open to research collaboration, teaching & partnerships

Focus area · 01

Medical Imaging AI

Applying AI and pattern recognition to medical imaging and clinical decision-making — AI at the point of diagnosis.

My core research applies artificial intelligence and pattern recognition to medical imaging, with the goal of making diagnosis faster and more consistent. The centerpiece is the detection and grading of papilledema and other retinal disorders from OCT and fundus images — the focus of my MSc and PhD — using deep learning, transfer learning, and fuzzy-logic grading. Beyond the retina, I have built imaging models for skin-cancer classification, breast-cancer detection from histopathology and thermography, gastrointestinal endoscopy, and malaria screening, frequently paired with multi-criteria decision-making to select the best-performing model for a given clinical task.

Retinal & OCT diagnostics Papilledema detection & grading Deep & transfer learning Histopathology & thermography Multi-criteria model selection

Focus area · 02

Assistive Technology

Usable tools for people with impairments — designed for real life, not just the lab.

I design assistive technologies for people with impairments, with an emphasis on tools that are genuinely usable in daily life rather than only in the laboratory. This work spans balance and mobility aids — including wearable devices that detect balance impairments in real time — game-based and robotic rehabilitation systems for people with neurological disorders, and mechanical designs such as stairlift systems evaluated through structural analysis. The common thread is pairing engineering with the lived needs of the user, so that a device is safe, practical, and something people will actually adopt.

Balance & mobility Rehabilitation systems Wearable sensing Neurological disorders Human-centered design

Focus area · 03

Intelligent Systems

AI, decision-making, and automation extending beyond the clinic.

A third thread of my work extends the same AI and decision-making methods beyond the clinic into electromechanical and intelligent systems — automation, robotics, and smart infrastructure. It includes predictive-maintenance frameworks for medical equipment, manufacturer-oriented risk assessment of imaging systems, autonomous clinical-laboratory optimization, and applications of multi-criteria decision-making to complex engineering choices. The emphasis is on systems that are reliable, measurable, and deployable — grounded in my field experience with real-world clinical hardware.

Multi-criteria decision making Predictive maintenance Automation & robotics Risk assessment Intelligent infrastructure

Academic background

Education

Degrees in Biomedical & Systems Engineering, focused on artificial intelligence.

FEB 2022 — JUL 2025

Ph.D., Biomedical & Systems Engineering

Cairo University · Subspecialty: Artificial Intelligence

Thesis: Detection and Grading of Papilledema Using Artificial Intelligence Techniques.

MAR 2019 — DEC 2021

M.Sc., Biomedical & Systems Engineering

Cairo University · Subspecialty: Artificial Intelligence

Thesis: Classification of Retinal Disorders Using Optical Coherence Tomography Images Based on Medical Expert Systems.

SEP 2013 — JUL 2018

B.Sc., Biomedical & Systems Engineering

EL Shorouk Academy

Academic roles

Academic Employment

Teaching and research positions across universities, 2018 to present.

SEP 2025 — PRESENT

Assistant Professor

School of Engineering and Computer Science, University of Hertfordshire (hosted by GAF)

JAN 2022 — AUG 2025

Assistant Lecturer

Systems and Biomedical Engineering Department, EL Shorouk Academy

SEP 2018 — DEC 2021

Teaching Assistant

Systems and Biomedical Engineering Department, EL Shorouk Academy

Industry

Industrial Experience

Hands-on field engineering on clinical MRI systems.

DEC 2019 — FEB 2022

Field Service Engineer

Promed Egypt

MRI systems — installed Philips Healthcare equipment, ran site inspections and planning proposals, and performed preventive and corrective maintenance.

In the classroom

Teaching & academic responsibilities

Courses offered across AI, computing, and signal & image processing.

COURSE
Accessibility & Usability
COURSE
From Silicon to C
COURSE
Discrete Structures
COURSE
Artificial Intelligence / Programming Fundamentals
COURSE
Digital Signal / Image Processing
COURSE
Projects Management

Bibliography

Publications

Peer-reviewed journal and conference research, filterable by topic.

Retina & Vision Diagnostics & Vitals Oncology Neuro & Rehab AI Systems & Devices

Get in touch

Contact & official pages

Reach me by email or through my official research profiles.