Profile

Md. Riaz Uddin

Md. Riaz Uddin

Lecturer

Email: riaz.uddin@bu.edu.bd

Experience

Md. Riaz Uddin is a Lecturer in the Department of Computer Science and Engineering (CSE) at Bangladesh University (BU). He holds an M.Sc. and a B.Sc. in Computer Science and Engineering from the University of Dhaka. His academic and professional interests include programming, data analysis, machine learning, and software development, with technical proficiency in Python, Java, C, SQL, HTML, and CSS.

Academic Experience

Md. Riaz Uddin has been serving as a Lecturer in the Department of Computer Science and Engineering at Bangladesh University since September 2017. His academic responsibilities include conducting classes, preparing lectures, performing examination duties, preparing examination questions, scrutinizing examination scripts, and supervising project and thesis students.

Professional Practice

His technical expertise includes programming languages and technologies such as Python, Java, C, SQL, HTML, and CSS. He is experienced with development and computing platforms including Anaconda, Visual Studio Code, Google Colab, Eclipse, Code::Blocks, and Oracle. His proficiency in data science and machine learning libraries includes Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Keras, TensorFlow, and PyTorch. These skills support his teaching, project supervision, data analysis, and machine learning-related academic activities.

Research

Research Work

Machine Learning, Federated Learning, Explainable AI, Reversible Logic

Publications

1. 2023: Design and Implementation of API Based Software Defined Networking Architecture
Tanvir Ahamed Nayeem,Md Riaz Uddin,Md Habibur Rahman,Md Samiul Islam
2023 26th International Conference on Computer and Information Technology (ICCIT)
13-15 December 2023,Coxs Bazar, Bangladesh
2. 2020: Predicting the Outcome of English Premier League Matches using Machine Learning
Muntaqim Ahmed Raju, Md Solaiman Mia, Md Abu Sayed, Md Riaz Uddin
2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)
19-20 December 2020, Dhaka, Bangladesh
3. 2018: Towards Designing Optimized Low Power Reversible Demultiplexer for Emerging Nanocircuits
Lafifa Jamal,Md Riaz Uddin 2018 31st IEEE International System-on-Chip Conference (SOCC)
04-07 September 2018,Arlington, VA, USA

5/B, Beribandh Main Road, Adabar, Mohammadpur, Dhaka 1207

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