MD HASIBUZZAMAN

portfolio

Hasib's Bio

A biomedical research engineer at National University of Singapore (NUS) working on wearable devices and materials. I was research assistant in the biomedical information and signals lab, at GIST, South Korea, worked in collaboration with the Seoul National University. My major role is on artificial intelligence, PCB board design, wearable electronics, fabrication, and characterization, and signal processing. He has completed master of engineering at Gwangu Institute of Science and Tchnology (GIST), Republic of Korea and he received an upper second-class bachelor's degree in engineering (Biomedical) from Universiti Teknologi Malaysia (UTM) and a diploma in engineering (Biomedical) from a public polytechnic institute in Bangladesh. His primary and secondary education was in science. He did four internships in the field of Biomedical Engineering. His research experience was working in his faculty lab and 3 months internship in Germany and E-life solution Plt for 1 year. Another great internship at Siemens Healthineers for 3 months and also worked part-time in a small company Medirome Bangladesh Limited for a year. His research field is AI in healthcare & instrumentation, neural disease diagnosis, rehabilitation, EEG, EMG, and speech signal processing utilizing machine learning, deep learning, MatLab, PRAAT, and 3D printing. He also explored the field of robotics, wearable devices, biomaterials, drug delivery, and biomechanics in biomedical engineering

**I never exhausted to try**

Hasib's MS thesis is "Voice-based Amyotrophic Lateral Sclerosis Classification Using Deep Learning Methods and Comparisons with Classical Machine Learning Models. Healthy vs ALS classification accuracy: 99.25% using CNN (MFCC features). Healthy vs ALS with dysarthria vs ALS without dysarthria classification accuracy: 98.36% using CNN (MFCC features). His undergraduate thesis, which was part of his PhD research, was focused on CFD simulation. Hasib's biomedical understanding has expanded significantly as a result of his participation in two research projects with E-life Solution Plt and ILMENAU, Germany. He worked in faculty laboratories and participated in a number of research activities during his academic career. In addition, he is honing his skills in Python, TensorBoard, PyTorch, LaTex, MatLab, Praat speech analysis, and Solid Works. Aside from that, he has exceptional ideation capabilities, technical expertise, the capacity to solve challenges in potentially tough settings, and strong communication skills. He is also a bright individual, multitasker, active, and enthusiastic leader who desires to be an academician, biomedical researcher, and biomedical device innovation specialist for the future of healthcare