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Anika Rahman, M.Sc. in CSE

Lecturer

Department of Computer Science and Engineering

anikarahman37@gmail.com, anika.rahman@stamforduniversity.edu.bd

01942211865

Office: Anika Rahman Lecturer Department of Computer Science and Engineering Email: anikarahman37@gmail.com, anika.rahman@stamforduniversity.edu.bd Contact: +8801942211865 Office: A/401, 51 Siddeswari Road, Dhaka

Profile

Anika Rahman is currently serving as a Lecturer in the Department of Computer Science and Engineering at Stamford University Bangladesh. She is also pursuing her Ph.D. in Computer Science and Engineering at Bangladesh University of Engineering and Technology. Prior to this, she worked as an Adjunct Lecturer in the Department of Computer Science and Engineering at Ahsanullah University of Science and Technology and Southeast University. She earned her Bachelor of Science (B.Sc.) in Computer Science and Engineering from Ahsanullah University of Science and Technology and completed her Masters of Science (M.Sc.) in Computer Science and Engineering from BRAC University.

 

Education

  • Bachelor of Science (B.Sc.) in Computer Science and Engineering, Ahsanullah University of Science and Technology.
  • Masters of Science (M.Sc.) in Computer Science and Engineering, BRAC University
  • Ph.D. (Ongoing) in Computer Science and Engineering, Bangladesh University of Engineering and Technology

Research Interest

Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Explainable AI (XAI), Federated Learning, Data Science, and Data Mining.

Work Experience

  • Lecturer (February, 2024–Present), Stamford University Bangladesh
  • Adjunct Faculty (2023–2024), Southeast University
  • Adjunct Faculty (2022–2023), Ahsanullah University of Science and Technology

Courses Taught

  • Discrete Mathematics
  • Object-Oriented Programming (C++)
  • Advanced Programming (Java)
  • Data Structures & Algorithms
  • Automata Theory & Compiler
  • Computer Graphics
  • Mathematical Analysis for Computer Science
  • Graph Theory
  • Digital System Design
  • Numerical Methods

Publications

Journal Publications:
  • Rahman, N. H. Muna, and M. S. Prity, “Dataset on multiregional variations of Bangla language (BD-Dialect),” Data in Brief, vol. 66, p. 112654, 2026, doi: 10.1016/j.dib.2026.112654.
  • H. Bashar, M. A. Mannaf, A. Rahman, M. S. Islam, H. Z. Mawa, and P. Akter, “Exploration of Soliton Solutions and Bifurcation Analysis in Fluid Dynamics Governed by M Fractional (3+1)-Dimensional Generalized B-Type Kadomtsev–Petviashvili (gBKP) Equation,” Engineering Reports, vol. 8, no. 2, e70642, 2026, doi: 10.1002/eng2.70642.
  • Rahman, M. T. Khatun, and A. T. Hasan, “Descriptor: A Dataset on Educational, Lifestyle, and Socioeconomic Factors of Bangladeshi Students (DELSFBS),” IEEE Data Descriptions, vol. 3, pp. 109–120, 2026, doi: 10.1109/IEEEDATA.2026.3658067.
  • Rahman and Mst. T. Khatun, “Global Patterns of Urban Air Pollution: A Multivariate and Cluster-Based Analysis Across Six Continents,” International Journal of Applied Information Systems, vol. 12, no. 47, pp. 47–69, 2025, doi: 10.5120/ijais2025452024.
Conference Proceedings:
  • Rahman and A. T. Hasan, "Mental Health Risk Assessment in University Students: Integrating IoT Environmental Data with Hybrid Machine Learning," 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS), Kushtia, Bangladesh, pp. 1–6, doi: 10.1109/COMPAS67506.2025.11381719.
  • Rahman and Mst. T. Khatun, “Assessing and Predicting Air Pollution in Asia: A Regional and Temporal Study (2018–2023),” International Journal on Cybernetics & Informatics, vol. 14, no. 1, pp. 27–40, Jan. 2025, doi: 10.5121/ijci.2025.140103.
  • Rahman and M. T. Khatun, "Multivariate Analysis of Urban Air Pollution: Clustering and Patterns Across Major Asian Cities," 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Sydney, Australia, pp. 462–467, doi: 10.1109/FMLDS63805.2024.00087.
  • Rahman and M. G. Rabiul Alam, "Explainable AI based Maternal Health Risk Prediction using Machine Learning and Deep Learning," 2023 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, pp. 0013–0018, doi: 10.1109/AIIoT58121.2023.10174540.
  • H. K. Mehedi et al., "Automatic Bangla Article Content Categorization using a Hybrid Deep Learning Model," 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), Hyderabad, India, pp. 19–25, doi: 10.1109/R10-HTC54060.2022.9930103.
  • O. Faruk et al., "Decentralized Neural Network Based Collaborative Filtering For Privacy Concern Recommendation Systems," 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), Hyderabad, India, pp. 432–437, doi: 10.1109/R10-HTC54060.2022.9929681.
  • Nessa et al., "Recruitment Scam Detection Using Gated Recurrent Unit," 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), Hyderabad, India, pp. 445–449, doi: 10.1109/R10-HTC54060.2022.9929928.
Book Chapter:
  • Faruk, K.O. et al. (2023). "K Nearest Neighbour Collaborative Filtering for Expertise Recommendation Systems." In: Omatu, S., Mehmood, R., Sitek, P., Cicerone, S., Rodríguez, S. (eds) Distributed Computing and Artificial Intelligence, 19th International Conference. DCAI 2022. Lecture Notes in Networks and Systems, vol. 583. Springer, Cham.

Research & Awards / Awards and Recognitions

  • Dean’s List of Honor

 

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