Faculty Profile

Ghosh, Tapotosh

LecturerEmail : tapotosh@cse.uiu.ac.bd

Tapotosh Ghosh is currently working as a lecturer in the department of CSE, United International University, Bangladesh. He has completed his M.Sc and B.Sc. in information and communication engineering from the Bangladesh University of Professionals. He was also a Teaching Assistant with the Department of ICT, Bangladesh University of Professionals. He has published several research articles on depressive social media text detection, Bangla handwritten character recognition, fall detection, earthquake detection, and AI based system for autism intervention. He is also working on several research projects on earthquake detection, fall detection, and depression analysis from social media posts. His research interests include the application of machine learning, deep learning, NLP, and biomedical engineering.

  • M.Sc in Information and Communication Technology (2021-2022)
    Bangladesh University of Professionals, Dhaka
    Thesis: An Attention based Architecture for Bangla Depressive Social Media Text Detection
    Supervisor: Prof. M. Shamim Kaiser, IIT, Jahangirnagar University, Dhaka
  • B.Sc in Information and Communication Technology (2016-2019)
    Bangladesh University of Professionals, Dhaka
    Thesis: Bangla Handwritten Character Recognition and Printed Character Generation using CNN and GAN
    Supervisor: Prof. Mohammad Abu Yousuf, IIT, Jahangirnagar University, Dhaka
  • Higher Secondary School Certificate Exam (HSC) (2015)
    Notre Dame College, Dhaka

  • Machine Learning and Deep Learning
  • Natural Language Processing
  • Pattern Recognition
  • Data Analysis

  • June 2022 – Present  United International University (UIU), Dhaka, Bangladesh
    Lecturer, Department of Computer Science & Engineering (CSE)
  • September 2021 – June 2022  Northern University Bangladesh, Dhaka, Bangladesh
    Lecturer, Department of Computer Science & Engineering (CSE)
  • November 2020 – June 2021  Bangladesh University of  Professionals (BUP), Dhaka, Bangladesh
    Teaching Assistant, Department of Information and Communication Engineering (ICT)
  • January 2020 – October 2020  Python Partners, Dhaka, Bangladesh
    Software Engineer

Journals

  1. Ghosh T.*, Al Banna M.H.*, Rahman M.S., Kaiser M.S., Mahmud M., Hosen A.S.M.S, Cho G.H. (2021). Artificial Intelligence and Internet of Things in Screening and Management of Autism Spectrum Disorder. Sustainable Cities and Society .Elsevier (SCIE Indexed, Q1, Impact Factor: 7.587). https://doi.org/10.1016/j.scs.2021.103189
  2. Al Nahian M.J., Ghosh T., Al Banna M.H., Aseeri M., Uddin M.N., Ahmed M., Mahmud M., Kaiser M.S. (2021). Towards Accelerometer‑Based Elderly Fall Detection using Cross‑disciplinary Time Series Features. IEEE Access. IEEE (SCIE Indexed, Q1, Impact Factor: 3.367). https://doi.org/10.1109/ACCESS.2021.3056441
  3. Al Banna M.H., Ghosh T., Al Nahian M.J., Taher K.A., Mahmud M., Kaiser MS. (2021). An Attention‑based Bi‑directional LSTM Approach for Prediction of Earthquakes. IEEE Access. IEEE (SCIE Indexed, Q1, Impact Factor: 3.367). https://doi.org/10.1109/ACCESS.2021.3071400
  4. Ghosh T., Abedin M.M.H.Z., Chowdhury S.M., Tasnim Z., Karim T., Reza S.M.S, Saika, S., Yousuf M.A (2020). Bangla hand‑
    written character recognition using MobileNet V1 architecture. Bulletin of Electrical Engineering & Informatics, 9.(Scopus Indexed, Q3). https://doi.org/10.11591/eei.v9i6.2234
  5. Ghosh T., Abedin M. M.H.Z., Al Banna M.H., Mumenin N., Yousuf M.A. (2020). Performance Analysis of State of the Art Convolutional Neural Network Architectures in Bangla Handwritten Character Recognition. PATTERN RECOGNITION AND IMAGE ANALYSIS, 31. Springer (Scopus Indexed, Q3). https://doi.org/10.1134/S1054661821010089

Conferences

  1. Ghosh T., Chowdhury A.A.K, Banna H.A., Nahian M.J.A, Kaiser M.S. (2021). A Hybrid Deep Learning Approach to Detect Bangla Social Media Hate Speech. International Conference on 4th Industrial Revolution and Beyond (IC4IR). Bangladesh (Article in Press)
  2. Ghosh, T., Kaiser, M.S. (2022). Bangla Depressive Social Media Text Detection Using Hybrid Deep Learning Approach. In:Kaiser, M.S., Ray, K., Bandyopadhyay, A., Jacob, K., Long, K.S. (eds) Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering. Lecture Notes in Networks and Systems, vol 348. Springer, Singapore. https://doi.org/10.1007/978‑981‑16‑7597‑3_9 3.
  3. Ghosh T. et al. (2021) An Attention‑Based Mood Controlling Framework for Social Media Users. In: Mahmud M., Kaiser M.S., Vassanelli S., Dai Q., Zhong N. (eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science, vol 12960. Springer, Cham. https://doi.org/10.1007/978‑3‑030‑86993‑9_23
  4. Al Nahian M.J.*, Ghosh T.*, Uddin M.N., Islam M.M., Taher K. A., Kaiser M.S. (2021). Social Group Optimized Machine Learning Based Elderly Fall detection Approach Using Interdisciplinary Time‑Series Features. 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD).IEEE Xplore .https://doi.org/10.1109/ICICT4SD50815.2021.9396919 (Best Paper Award)
  5. Shamma Z.S.*, Ghosh T.*, Uddin M.N., Islam M.M., Taher K. A., Kaiser M.S. (2021). Towards Social Group Optimization and Machine Learning Based Diabetes Prediction. 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD).IEEE Xplore. https://doi.org/10.1109/ICICT4SD50815.2021.9396852
  6. Al Banna M.H.*, Ghosh T.*, Taher K.A., Kaiser M.S., Mahmud M. (2020). A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence. In: Mahmud M., Vassanelli S., Kaiser M.S., Zhong N. (eds) Brain Informatics. BI 2020. Lecture Notes in Computer Science, vol 12241. Springer(Scopus Indexed, Q2), Cham. https://doi.org/10.1007/978-3-030-59277-6_23.
  7. Al Nahian M.J.*, Ghosh T.*, Uddin M.N., Islam M.M., Mahmud M., Kaiser M.S. (2020). Towards Artificial Intelligence Driven
    Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder. In: Mahmud M.,Vassanelli S., Kaiser M.S., Zhong N. (eds) Brain Informatics. BI 2020. Lecture Notes in Computer Science, vol 12241. Springer(Scopus Indexed, Q2), Cham. https://doi.org/10.1007/978-3-030-59277-6_25.
  8. Al Banna M.H.*, Ghosh T.*, Taher K.A., Kaiser M.S., Mahmud M. (2020). An Earthquake Prediction System for Bangladesh using Deep Long Short‑term Memory Architecture. In: International Conference on Machine Learning, Internet of Things and Big Data. Lecture Notes in Networks and Systems. Springer(Scopus Indexed, Q3), Cham. https://doi.org/10.1007/978-981-33-6081-5_41.
  9. Ghosh T., Abedin M.M.H.Z., Chowdhury S.M., Yousuf M.A. (2019). A Comprehensive Review on Recognition Techniques for Bangla Handwritten Characters. In 2nd International Conference on Bangla Speech and Language Processing (ICBSLP‑2019), 27‑28 Sept. 2019, IEEE. https://doi.org/10.1109/ICBSLP47725.2019.202051

Summer 2022

  • Structured Programming Language
  • Structured Programming Language Lab
  • Digital Logic Design
  • Software Engineering Lab