S M Taslim Uddin Raju at Khulna University of Engineering & Technology, Canada
Summary:
Mr. S M Taslim Uddin Raju is a Lecturer in the Department of Computer Science and Engineering at Khulna University of Engineering & Technology (KUET) in Bangladesh. He holds a Master of Science in Computer Science and Engineering from KUET, with a perfect CGPA of 4.00, and a Bachelor of Science in Computer Science and Engineering, also from KUET, with a CGPA of 3.85. He has a strong background in machine learning, deep learning, bioinformatics, health informatics, biomedical engineering, and computer vision.
👩🎓Education:
- Master of Science in Computer Science and Engineering (M.Sc.), Khulna University of Engineering & Technology (KUET)
- Bachelor of Science in Computer Science and Engineering (B.Sc.), Khulna University of Engineering & Technology (KUET)
Professional Experience:
Mr. S M Taslim Uddin Raju has accrued substantial professional experience in academia, particularly in the field of computer science and engineering. He currently serves as a Lecturer in the Department of Computer Science and Engineering at Khulna University of Engineering & Technology (KUET), Bangladesh, a role he has held since December 2020. Prior to this, he held positions as both a Part-time and Full-time Lecturer at KUET and Eastern University, respectively. Through these roles, Raju has honed his skills in teaching and mentoring students, designing and delivering courses, and contributing to academic research. His dedication to education and research is evidenced by his involvement in various collaborative projects, including partnerships with blood organizations and international research institutions. Raju’s professional journey reflects his commitment to advancing knowledge in computer science and engineering while nurturing the next generation of professionals in the field.
Research Interest :
Mr. S M Taslim Uddin Raju research interests span a wide array of interdisciplinary fields within computer science and engineering. With a focus on cutting-edge technologies, he is particularly passionate about machine learning and its applications, deep learning, bioinformatics, health informatics, biomedical engineering, and computer vision. His work delves into the development and application of innovative algorithms and methodologies to tackle real-world challenges in diverse domains, ranging from demand forecasting in industries to non-invasive measurement of human blood components and the detection of diseases such as COVID-19. Raju’s multidisciplinary approach underscores his commitment to leveraging advanced computational techniques to address pressing societal and scientific issues, driving forward the boundaries of knowledge and innovation in his field.
Publication Top Noted:
Paper Title: A continuous cuffless blood pressure measurement from optimal PPG characteristic features using machine learning algorithms
- Authors: Araf Nishan, SM Taslim Uddin Raju, Md Imran Hossain, Safin Ahmed Dipto, SM Tanvir Uddin, Asif Sijan, Md Abu Shahid Chowdhury, Ashfaq Ahmad, Md Mahamudul Hasan Khan
- Journal: Heliyon
- Year: 2024
Paper Title: An approach for demand forecasting in steel industries using ensemble learning
- Authors:SM Taslim Uddin Raju, Amlan Sarker, Apurba Das, Md Milon Islam, Mabrook S Al-Rakhami, Atif M Al-Amri, Tasniah Mohiuddin, Fahad R Albogamy
- Journal: Complexity
- Year: 2022
Paper Title: A Deep Learning Approach for Non-Invasive Hypertension Classification from PPG Signal
- Authors:Rifah Tasnim Haque Promi, Rezwana Akter Nazri, Md Shahidul Salim, SM Taslim Uddin Raju
- Journal: IEEE
- Year: 2023
Paper Title: DNN Based Blood Glucose Level Estimation Using PPG Characteristic Features of Smartphone Videos
- Authors:SM Taslim Uddin Raju, MMA Hashem
- Journal:IEEE
- Year: 2022