Ibrahim Sadek | Engineering | Best Researcher Award
Dr Ibrahim Sadek, Helwan University, Egypt
Dr. Ibrahim Sadek is a seasoned expert in biomedical engineering and artificial intelligence, with an impressive academic background that spans across Egypt, France, and Singapore π. He holds a Ph.D. in Computer Science from the University of Montpellier and has served in notable roles including postdoctoral fellowships at the University of Sherbrooke and ST Electronics-SUTD Cyber Security Laboratory. Currently, he leads the AI program at the University of Hertfordshire’s GAF Cairo campus πͺπ¬. His work in signal processing and machine learning has garnered awards and led to groundbreaking advancements in healthcare and cybersecurity π. Fluent in Arabic and English, Dr. Sadek’s multilingual prowess complements his technical skills in Python, C++, and MATLAB π‘.
Publication profile
Education
He completed his Ph.D. in Computer Science from the University of Montpellier, France π«π·, in 2018, with a focus on pervasive access technologies through collaboration with IPAL and CNRS UMI 2955/A*STAR in Singapore πΈπ¬. Dr. [Name] holds a distinguished M.Sc. in Computer Vision and Robotics from the prestigious VIBOT program, involving studies at Heriot-Watt University in the UK π¬π§, University of Burgundy in France, and University of Girona in Spain πͺπΈ. He earned his B.Sc. in Biomedical Engineering from Helwan University, Egypt πͺπ¬, graduating top of his class with honors. He also spent a year at the University of Chemical Technology and Metallurgy in Bulgaria π§π¬ through the Erasmus Mundus program. ππ
Experience
During my postdoctoral research fellowship at the University of Sherbrooke, Canada (09/2019 to 08/2021), I developed signal processing and machine learning tools to analyze in-bed ballistocardiogram signals for detecting abnormal cardiac events, such as arrhythmias, and abnormal breathing events like obstructive sleep apnea. πβ€οΈ Since December 2019, I’ve been lecturing at the Biomedical Engineering Department, Helwan University, Egypt, teaching courses including Biomedical Signal Processing and Neural Networks. ππ§ As of December 2023, I lead the Computer Science/Artificial Intelligence Programme at the University of Hertfordshire’s Faculty of Engineering, hosted by GAF Cairo, Egypt. My role includes coordinating modules and exams, and maintaining academic communication between institutions. ππ₯οΈ My previous roles include part-time instructor positions at the University of Hertfordshire and Cairo University, teaching subjects like Software Architecture and Biomedical Data Analytics. π«π Additionally, I was a postdoctoral fellow at ST Electronics-SUTD Cyber Security Laboratory, Singapore (06/2018 to 07/2019), where I worked on malware detection and network traffic anomaly analysis. ππ» My research background also includes a Ph.D. in nonintrusive nocturnal remote monitoring of vital signs and a master’s internship on the automatic discrimination of retinal images, which led to a best paper award at SPIE 2015. ππ¬
Awards
During the years 2015 to 2018, I received the A*STAR Research Attachment Program (ARAP) Grant π, coordinated by the Institute for Infocomm Research (I2R) in Singapore and the Institute Mines-Telecom in France. In 2016, I secured the Alexandra Health Enabling Grant (AHEG1606) for a project at Khoo Teck Puat Hospital in Singapore π₯, focused on developing a novel unobstructed mattress sensor to detect obstructive sleep apnea π΄. I won the Robert F. Wagner All-Conference Best Student Paper Award in 2015 π for my paper on retinal image discrimination. I was also a recipient of the Erasmus Mundus Grant in Computer Vision and Robotics (2012-2014) π€, coordinated by three European universities. Earlier, I won the Young Innovatorβs Award in 2010 π for my graduation project, and from 2007 to 2008, I held an undergraduate scholarship through the Erasmus Mundus External Cooperation Window π, coordinated by the University of Chemical Technology’s biotechnology engineering department.