Computer Vision Engineer

Technical Expertise

• Domain Specific: Computer Vision, Machine and Deep Learning
• Programming Languages: Python, SQL, C++
• Frameworks: PyTorch, Tensorflow, OpenCV, Scikit-learn
• Miscellaneous: Linux, Git, Latex, Figma

Education

BSc. Engg. in Computer Science & Engineering | Bangladesh University of Business & Technology (BUBT) (August 2021)

Work Experience

Compliance Engineer @ Gills Consulting Associates (December 2022 - December 2023)

• Evaluating the user interface (UI) and the design aspect of websites and fostering strong collaboration with clients by comprehensively understanding their requirements.
• Take on the central role as the primary liaison for client communication and keeping track of project updates.
• Create compliance documents, oversee compliance projects, and communicate updates to internal stakeholders and clients.

Research Experience

Researcher @ Advanced Machine Intelligence Research Lab (AMIRL) (May 2023 - Present)

• Responsible for planning and designing studies, outlining methodologies to investigate specific research questions.
• Identify gaps in existing literature, conduct literature reviews, and strive to contribute new insights to the academic or professional community.
• Collaborate with other researchers, both within and outside the organization, to enhance the scope and impact of research projects.

Research Engineer @ Advanced Machine Learning Lab (AML) (March 2021 - May 2022)

• Stay updated on state-of-the-art (SOTA) technologies in artificial intelligence through thorough research.
• Develop and implement predictive models using cutting-edge techniques and publish research papers detailing the findings and contributions.
• Provide technical guidance and mentorship to junior researchers and team members. Attend conferences, workshops, and seminars to exchange ideas and stay connected with the academic community.

Publications

1. Mridha, M.F., Das, S.C., Kabir, M.M., Lima, A.A., Islam, M.R. and Watanobe, Y., 2021. Brain-computer interface: Advancement and challenges. Sensors, 21(17), p.5746.
2. Mridha, M.F., Lima, A.A., Nur, K., Das, S.C., Hasan, M. and Kabir, M.M., 2021. A survey of automatic text summarization: Progress, process and challenges. IEEE Access, 9, pp.156043-156070.
3. Lima, A.A., Mridha, M.F., Das, S.C., Kabir, M.M., Islam, M.R. and Watanobe, Y., 2022. A comprehensive survey on the detection, classification, and challenges of neurological disorders. Biology, 11(3), p.469.
4. Islam, M.R., Lima, A.A., Das, S.C., Mridha, M.F., Prodeep, A.R. and Watanobe, Y., 2022. A comprehensive survey on the process, methods, evaluation, and challenges of feature selection. IEEE Access.
5. Mridha, M.F., Prodeep, A.R., Hoque, A.S.M., Islam, M.R., Lima, A.A., Kabir, M.M., Hamid, M.A. and Watanobe, Y., 2022. A comprehensive survey on the progress, process, and challenges of lung cancer detection and classification. Journal of Healthcare Engineering, 2022.
6. Lima, A.A., Das, S.C. and Shahiduzzaman, M., 2022. Driver behavior analysis based on numerical data using deep neural networks. In Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 2 (pp. 211-219). Springer Singapore.
7. Lima, A.A., Kabir, M.M., Das, S.C., Hasan, M.N. and Mridha, M.F., 2022. Road sign detection using variants of yolo and r-cnn: An analysis from the perspective of bangladesh. In Proceedings of the International Conference on Big Data, IoT, and Machine Learning: BIM 2021 (pp. 555-565). Springer Singapore.
8. Ishraq, A., Lima, A.A., Kabir, M.M., Rahman, M.S. and Mridha, M.F., 2022, March. Assessment of Building Damage on Post-Hurricane Satellite Imagery using improved CNN. In 2022 International Conference on Decision Aid Sciences and Applications (DASA) (pp. 665-669). IEEE.
9. Mohsin Kabir, M., Lima, A.A., Mridha, M.F., Abdul Hamid, M. and Monowar, M.M., 2022. Forecasting Closing Price of Stock Market Using LSTM Network: An Analysis from the Perspective of Dhaka Stock Exchange. In Proceedings of the International Conference on Big Data, IoT, and Machine Learning: BIM 2021 (pp. 289-299). Springer Singapore.
10. Mridha, M.F., Mohammad, Z., Kabir, M.M., Lima, A.A., Das, S.C., Islam, M.R. and Watanobe, Y., 2023. An Unsupervised Writer Identification Based on Generating Clusterable Embeddings. Computer Systems Science & Engineering, 46(2).

Hobbies

Travel enthusiast and avid book reader. I believe in this quote “The world is a book and those who do not travel read only one page.” - Saint Augustine.