PROFILE INFO

Taminul Islam

Data Scientist 

  • Machine Learning & Health Data Science Specialist
  • +8801950511785
  • islamtaminul@gmail.com
  • Dhaka, Bangladesh
  • Taminul Islam

Taminul Islam received his Bachelor of Science (B.Sc.) with first-class in the field of Computer Science and Engineering (CSE) from Daffodil International University, Ashulia, Dhaka, Bangladesh. During his student life, he worked as an Undergraduate Research Assistant at Daffodil International University. After completing his graduation, he started a professional career as a Research and Development Assistant. He achieved a Full Free Scholarship in his B.Sc. program from Daffodil International University. His research interest lies in the area of Artificial Intelligence, Machine Learning, Health Data Science and Disease Prediction, and Autonomous Vehicles and UAVs. Currently, he is working as a Researcher in two leading research labs STEMResearch.Ai and AI-Explain You Science (AI-EYS). He is collaborating actively with renowned professors and researchers in several other disciplines of Computer Technology.

BSc in Computer Science and Engineering

– 2018– 2022

Daffodil International University

Thesis: Review analysis of ride-sharing application using Bi-LSTM based RNN model- Bangladesh Perspective (Advisor: Most. Hasna Hena)

  • Rahman, M. H., Islam, T., Rana, M. M., Tasnim, R., Mona, T. R., & Sakib, M. M. (2023). Machine Learning Approach on Multiclass Classification of Internet Firewall Log Files. arXiv preprint arXiv:2306.07997.
  • Sheakh, M. A., Tahosin, M. S., Hasan, M. M., Islam, T., Islam, O., & Rana, M. M. (2023, May). Child and Maternal Mortality Risk Factor Analysis Using Machine Learning Approaches. In 2023 11th International Symposium on Digital Forensics and Security (ISDFS) (pp. 1-6). IEEE.
  • Islam, T. ”Kundu, A., Lima, R. J., Hena, M. H., Sharif, O., Rahman, A., & Hasan, M. Z. (2023). Review Analysis of Ride-Sharing Applications Using Machine Learning Approaches: Bangladesh Perspective.” In Computational Statistical Methodologies and Modeling for Artificial Intelligence (pp. 99-122). CRC Press.
  • Islam, T. ”Kundu, A., Islam Khan, N., Chandra Bonik, C., Akter, F., & Jihadul Islam, M. (2022). Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective.” In Ubiquitous Intelligent Systems: Proceedings of Second ICUIS 2022 (pp. 291-305). Singapore: Springer Nature Singapore.
  • Islam, M. T., Ahmed, T., Rashid, A. R., Islam, T., Rahman, M. S., & Habib, M. T. (2022, April). Convolutional Neural Network Based Partial Face Detection. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1-6). IEEE.
  • Islam, T., Kundu, A., Ahmed, T., & Khan, N. I. (2022, April). Analysis of Arrhythmia Classification on ECG Dataset. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT)(pp. 1-6). IEEE.
  • Islam, T., Hosen, M. A., Mony, A., Hasan, M. T., Jahan, I., & Kundu, A. (2022, January). A proposed Bi-LSTM method to fake news detection. In 2022 International Conference for Advancement in Technology (ICONAT) (pp.1-5). IEEE.
  • Health Data Science and Disease Prediction
  • Autonomous Vehicles and UAVs
  • Security and Fraud Detection
  • Machine Learning
  • Artificial Intelligence

RESEARCH ACTIVITIES

  • Reviewer at Journal on Internet of Things (Tech Science Press)
  • Reviewer at Journal on Artificial Intelligence (Tech Science Press)

 

Researcher – STEMResearch.Ai – July 2023 – Present

Collaborate with the lead researcher and fellow team members in the areas of machine learning, deep learning, artificial intelligence, plants, and cybersecurity. Engage in active knowledge sharing, contribute to research discussions, and assist in developing innovative solutions. Contribute to the team’s collective expertise and drive research advancements in these domains.

Research Associate – AI-Explain You Science (AI-EYS) – Jun 2023 – Present

Collaborating with machine learning research projects by coding, writing, and mentoring. Leading a group of eight dedicated, detailed, and competent research fellows, in artificial intelligence, and machine learning.

Research and Development Assistant – Quadque Technologies Ltd.  – Feb 2022 – Jun 2022

Researched and evaluated new products and technologies in line with organizational goals, implementing research plans and methodologies. Communicated findings through reports and presentations. Managed research projects, overseeing timelines, budgets, and resources to ensure timely completion.

Undergraduate Research Assistant (Part-Time) – Daffodil International University – Apr 2020 – Jan 2022

Collaborated with research projects by actively participating in coding tasks, writing reports, and mentoring junior team members. Contributed to the development and implementation of research methodologies. Foster a collaborative and supportive environment, sharing knowledge and expertise to support the growth and success of the team.

Undergraduate Teaching Assistant (Part-Time) – Department of CSE, Daffodil International University – 12 Months

Courses Assisted:

  • Algorithms & Algorithms Lab
  • Artificial Intelligence & Artificial Intelligence Lab
  • Programming and Problem-Solving Lab

Time frame: 4 months for each course.