Institute of Science and Technology

a center of excellence for education
Institute of Science and Technology

a center of excellence for education

Tania Sultana


Department of Computer Science and Engineering


Tania Sultana is a Lecturer in the dept. of Computer Science and Technology at Institute of Science and Technology (IST) since May 2021. Her latest research has concentrated on deep learning, machine learning, medical image processing, and magnetic resonance imaging (MRI). She is currently working on a project to “identify and classify brain tumors using MRI” which is funded in part by JSPS KAKENHI NUMBERS JP18H03291 and JP17K00308.


  1. Sultana, T., Rahman, B, M, A., and Rahman, M, M., “A Study on Multiresolution based Image Fusion Rules using Intuitionistic Fuzzy Sets,” American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) 2017, Volume 27, No 1, 108–115.
  2. Sultana, T., Kumar, M., Rahman, M, M., “Comparative analysis on multiresolution image fusion using intuitionistic fuzzy point operators” International Journal of Computer Science and Information Security (IJCSIS), Vol. 14 No. 11, December-2016.
  3. Sultana, T., Ditee, Y., “Uniform Security Structure for Data Storage in Cloud Computing with Correctness of Data Blocks” IST journal on business and technology, Vol. 7, Issue Number l, December 2016.
  4. Sultana, T., Hossain, M., D., and Newaz, M., K.,” Analysis on SWT based Image Fusion Techniques using Intuitionistic Fuzzy Set Operations” International Journal of Technology Enhancements and Emerging Engineering Research, vol-4, pp-(16-19), 2016.

Conference Papers

  1. Sultana, T., Kurosaki, S., Jitsumatsu, Y., Kuhara, S., Takeuchi, J., “Brain Tumor Detection and Classification using Under Sampled k-Space Signals” ESMRMB 2020 Online, 37th Annual Scientific Meeting, September 30-October 2, Springer, 2020. doi: 10.1007/s10334-020-00876-y.
  2. Sultana, T., Kurosaki, S., Jitsumatsu, Y., Takeuchi, J., “Accuracy of Brain Tumor Detection and Classification Based on Under Sampled k-Space Signals” Technical report of the Institute of Electronics Information and Communication Engineers, Japan, March 2020.
  3. Kurosaki, S., Sultana, T., Jitsumatsu, Y., Takeuchi, J., “Brain Tumor Segmentation using Under Sampled k-Space Signals” 23rd IBIS, Japan, Nov 2020.
  4. Hossain, M., D., Sultana, T., Rahman, K., M., R., Imtiz, A. ” An Analysis of Regulatory Frameworks for Adopting Cyber DBT at Nuclear Facilities: Bangladesh Perspectives” IAEA International Conference on Nuclear Security: Commitments and Actions, 5-9 December, 2016, Vienna, Austria.
  5. Hossain, M., D., Sultana, T. “Nuclear Knowledge Innovations Assimilation: The Impact of Organizational Knowledge Frames and Triple Helix Dynamics of Knowledge Base” IAEA Third International Conference on Nuclear Knowledge Management: Challenges and Approaches, 7-11 November, 2016, Vienna, Austria.
  6. Hossain, M., D., Sultana, T. “Impacts of International Coordination on Computer and Information System Security in a Nuclear Would: An Organizational Culture and Social perspectives” IAEA International Conference on Computer Security in a Nuclear World: Expert Discussion and Exchange, 1-5 June, 2015, Vienna, Austria