Author Archives: Mehdi

Mehdi, year-2 Ph.D. student, presented his research work on EMG Processor in the postgraduate research seminar on 13 December 2019. This session was chaired by Dr. Ray Cheung and organised by the Department of Electrical Engineering of the City University … Continue reading →

“Reconfigurable Computing and Hardware Acceleration in Health Informatics”- a book chapter by Dr. Ray C.C. Cheung and Mehdi Hasan Chowdhury got accepted in a book to be published by Springer-Verlag, Germany. The title of the book is “Signal Processing Techniques … Continue reading →

Second-year PhD student, Mehdi presented the research work titled “Point-of-Care EMG Processor for the Differential Diagnosis of Neuropathy and Myopathy” in IEEE-NIH Healthcare Innovations and Point of Care Technologies Conference at Maryland, USA. This is one of the flagship conferences … Continue reading →

To help Ph.D./MPhil students cope with numerous deadlines and different obligations, the EE department of CityU organised a workshop on stress management on 28 October 2019. In this event, Dr. Ray Cheung (along with three fellow speakers) shared how to … Continue reading →

Second-year PhD student Mehdi Hasan Chowdhury’s paper “Reconfigurable Architecture for Multi-lead ECG Signal Compression with High-frequency Noise Reduction” is published in the Scientific Reports, a journal of the Nature Research family. Mehdi’s research interests include biosignal processing and reconfigurable computing. … Continue reading →

The International Symposium on Applied Reconfigurable Computing (ARC) aims to bring together researchers and practitioners of reconfigurable computing with an emphasis on practical applications of this promising technology. This year’s Symposium will have a series of international invited speakers who will … Continue reading →

One of the papers of Mr. Mehdi Hasan Chowdhury has got accepted in the IEEE EMB Healthcare Innovations and Point of Care Technologies (HIPT ’19) conference. Mehdi is now a Year 2 Ph.D. student working on FPGA based Biosignal Processing. … Continue reading →