Qualifications:

· PhD in Computer Science & Engineering (Pursuing)

Chittagong University of Science and Technology

· M.S. (Engg.) in Computer Science & Engineering

University of Chittagong

· B.Sc (Engg.) in Computer Science & Engineering

University of Chittagong

Munmun Biswas is an Assistant Professor at BGC Trust University Bangladesh Department of Computer Science and Engineering. She has currently finished more than 8 years of teaching experience. In her professional life, she has finished an extensive training program in applied research techniques and has published some outstanding research work in prestigious journals and conferences. She earned her B.Sc. and M.S. (Engg.) from the University of Chittagong and is currently pursuing her Ph.D. at CUET. She has around 13 papers, posters, and abstracts published in various international journals. Her Google Scholar citation count is currently 146, while his h-index and i-index are 6 and 3, respectively. She has worldwide and national-level training and certifications in Big Data, Python, Deep Learning, and other areas. She is enthusiastic about computer vision, artificial intelligence, natural language processing, machine learning, and deep learning. She is presently a faculty member for the BGCTUB IEEE Student branch and the president of the CSE Sports Club.

Research Links:

ORCID: http://orcid.org/0000-0001-8370-8773

Google Scholar: https://scholar.google.com/citations?user=OdVNYL0AAAAJ&hl=en

Research Gate: https://www.researchgate.net/profile/Munmun-Biswas

Academia: https://bgctub-edu.academia.edu/MunmunBiswas

Membership and Professional Activities : 

• “Member” in Institute of Electrical and Electronics Engineers(IEEE)
• “Member” in Bangladesh Computer Society(BCS)

• Assistant Professor (1st July 2022 ~ Present)

Department of Computer Science and Engineering, BGC Trust University Bangladesh, Chittagong-4381, Bangladesh.

• Lecturer  (12 July 2014 ~ 30th June 2022)

Department of Computer Science and Engineering, BGC Trust University Bangladesh, Chittagong-4381, Bangladesh.

Courses:

• Operating Systems
• Internet Concept and Database Web Programming
• Computer Graphics
• Theory of Computation.
• Data Communication
• Artificial Intelligence
• Software Development Project
• Database Management Systems
• Computer Fundamentals
• Cryptography and Network Security
• Blockchain Technology

Computer Vision, IoT, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing.

Areas of Expertise

1. Computer Vision: One of our main strengths as humans is reflected in our ability to make decisions and make sense through what we see in the real world. Providing machines and computers with this kind of visual understanding would allow them the same strength.
2. AI (Artificial Intelligence): AI can be achieved by reading the behavior of humans and using the results to develop intelligent systems. For example, they learn, make decisions and act in certain situations. Observing humans while problem-solving in simple tasks and using its results to develop intelligent systems.The overall research goal of artificial intelligence is to create technology that allows computers and machines to work intelligently. The general problem of simulating (or creating) intelligence is broken down into sub-problems.
3.  NLP (Natural Language Processing): Natural Language Processing (NLP) allows machines to break down and interpret human language. It’s at the core of tools we use every day – from translation software, chatbots, spam filters, and search engines, to grammar correction software, voice assistants, and social media monitoring tools.

1. M. Biswas, T. Dhoom, R. K. Pathan and M. Sen Chaiti, "Shortest Path Based Trained Indoor Smart Jacket Navigation System for Visually Impaired Person," 2020 IEEE International Conference on Smart Internet of Things (SmartIoT), Beijing, China, 2020, pp. 228-235, doi: 10.1109/SmartIoT49966.2020.00041.
2. M. A. Uddin, M. S. Hossain, R. K. Pathan and M. Biswas, "Gender Recognition from Human Voice using Multi-Layer Architecture," 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Novi Sad, Serbia, 2020, pp. 1-7, doi: 10.1109/INISTA49547.2020.9194654.
3. Gosh, S., Nahar, N., Wahab, M. A., Biswas, M., Hossain, M. S., & Andersson, K. (2020). Recommendation System for E-commerce using Alternating Least Squares (ALS) on Apache Spark. In 3rd International Conference on Intelligent Computing & Optimization 2020, ICO 2020
4. M. Biswas, M. Uddin,”Motif Detection Approach Based on Markov Chain Model of DNA Sequence,”1st National Conference on Pharmaceutical Sciences 20, BGC Trust University Bangladesh, January 29, 2020.
5. P. Biswas, M. Biswas, S. Chowdhury, M. Alam “Predicting the stage of Breast Cancer Using Data Mining Technique”, 1st National Conference on Pharmaceutical Sciences 20, BGC Trust University Bangladesh, January 29, 2020.
6. M. Biswas, S. Uddin Chowdhury, N. Nahar, M. S. Hossain and K. Andersson, "A Belief Rule Base Expert System for staging Non-Small Cell Lung Cancer under Uncertainty," 2019 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2019, pp. 47-52, doi: 10.1109/BECITHCON48839.2019.9063182.
7. M. Biswas and G. Hasan," Predicting the morphometric change of urban water bodies in Chittagong metropolitan area.”, Fifth International Conference on Engineering, Research, Innovation Education, SUST, Sylhet, January 25-27,2019.

1. Uddin, M. A., Pathan, R. K., Hossain, M. S., & Biswas, M. (2021). Gender and region detection from human voice using the three-layer feature extraction method with 1D CNN. Journal of Information and Telecommunication, 1-16.
2. Yasmin, S.; Pathan, R.K.; Biswas, M.; Khandaker, M.U.; Faruque, M.R.I. Development of a Robust Multi-Scale Featured Local Binary Pattern for Improved Facial Expression Recognition. Sensors 2020, 20, 5391.
3. Pathan, R. K., Biswas, M., & Khandaker, M. U. (2020). Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model. Chaos, solitons, and fractals, 138, 110018. https://doi.org/10.1016/j.chaos.2020.110018
4. Dhoom, T. Biswas, M. An Investigation of Various Segmentation Methods Used in Iris recognition System. International Journal of Computer Application, 182(24), 52-58, October 2018.
5. Biswas, M., Dhoom, T., & Barua, S. Weather Forecast Prediction: An Integrated Approach for Analyzing and Measuring Weather Data. International Journal of Computer Applications, 975, 8887.
6. Biswas, M. A Graph Based Contig Analysis for Big DNA Sequence. International Journal of Scientific & Engineering Research, vol. 9 Suppl 8, August 2018.