ANNEX IQAC
BUBT Logo
BUBT Logo

Shuvo Biswas

Lecturer — Department of Computer Science & Engineering

Shuvo Biswas

Lecturer - Department of Computer Science & Engineering

Email: shuvo@bubt.edu.bd

Blood Group: O+

Professional Summary

Shuvo Biswas is working as a Lecturer in the department of Computer Science and Engineering at Bangladesh University of Business and Technology (BUBT), Mirpur, Dhaka, Bangladesh. He has completed his BSc and MSc Degree in Information and Communication Technology from Mawlana Bhashani Science and Technology University, Tangail, Bangladesh. He obtained CGPA 3.77 out of 4.00 in BSc and CGPA 3.88 out of 4.00 in MSc. Shuvo does research in Computer Vision, Machine Learning, Medical Imaging, Federated Learning, Deep Learning, Explainable AI.

Education

Secondary School Certificate (SSC)

Major: Science

Institute: Jessore

Passing Year: 2013

Higher Secondary Certificate (HSC)

Major: Science

Institute: Jessore

Passing Year: 2015

Bachelor of Science in Engineering (B.Sc. Engr)

Major: Information & Communications Technology

Institute: Mawlana Bhashani Science and Technology University

Passing Year: 2020

Master of Science in Engineering (MSc Engr)

Major: Information & Communications Technology

Institute: Mawlana Bhashani Science and Technology University

Passing Year: 2022

Academic Experience

Institute Department Position Year
The Peoples University of Bangladesh CSE Lecturer 03 Oct 2024 - 14 Jul 2025

Professional Experience

Institute Department Position Year

Journal Papers

Shuvo Biswas, Sajeeb Saha, Muhammad Shahin Uddin, Rafid Mostafiz, "An Explainable and Federated Deep Learning Framework for Skin Cancer Diagnosis, " In: PLoS One (Q1, PLoS), 20(7), 0324393 (2025-01-01) . https://doi.org/10.1371/journal.pone.0324393
Shuvo Biswas, Rafid Mostafiz, Mohammad Shorif Uddin, Muhammad Shahin Uddin, "FLPneXAINet: Federated Deep Learning and Explainable AI for Improved Pneumonia Prediction Utilizing GAN-Augmented Chest X-Ray Data, " In: PLoS One (Q1, PLoS), 20(6), 0324957 (2025-01-01) . https://doi.org/10.1371/journal.pone.0324957
Sajeeb Saha, Shuvo Biswas, Sneha Sarkar, Md. Abdul Hadi, Nilanjana Basak, Mst. Zakia Sultana, "SkinFLNet: A Federated Learning Approach for Skin Cancer Detection Utilizing Skin Dermoscopy Images, " In: Biomedical Materials & Devices (Q1, Springer Nature), 4 921 (2025-01-01) . https://doi.org/10.1007/s44174-025-00434-x
Mst Nargis Aktar, Nilanjana Basak, Shuvo Biswas, Hasan Abdullah & Muhammad Shahin Uddin, "SPR-Based Fiber Optic Sensor for the Development of Internet of Things (IoT) Technologies, " In: Plasmonics (Q2, Springer Nature), 20 4959 (2024-01-01) . https://doi.org/10.1007/s11468-024-02683-w
Fahmida Khanom, Shuvo Biswas, Mohammad Shorif Uddin, Rafid Mostafiz, "XEMLPD: An Explainable Ensemble Machine Learning Approach for Parkinson Disease Diagnosis with Optimized Features, " In: International Journal of Speech Technology (Q1, Springer Nature), 27(4), 1055 (2024-01-01) . https://doi.org/10.1007/s10772-024-10152-2
Shuvo Biswas, Rafid Mostafiz, Bikash Kumar Paul, Khandaker Mohammad Mohi Uddin, Md. Abdul Hadi, Fahmida Khanom, "DFU _ XAI: A Deep Learning-Based Approach to Diabetic Foot Ulcer Detection Using Feature Explainability, " In: Biomedical Materials & Devices (Q1, Springer Nature), 2 1225 (2024-01-01) . https://doi.org/10.1007/s44174-024-00165-5
Shuvo Biswas, Rafid Mostafiz, Mohammad Shorif Uddin, Bikash Kumar Paul, "XAI-FusionNet: Diabetic foot ulcer detection based on multi-scale feature fusion with explainable artificial intelligence, " In: Heliyon (Q1, Elsevier), 10(10), 31228 (2024-01-01) . https://doi.org/10.1016/j.heliyon.2024.e31228
Shuvo Biswas, Rafid Mostafiz, Bikash Kumar Paul, Khandaker Mohammad MohiUddin, Md Masudur Rahman, F.N.U. Shariful, "DFU _ MultiNet: A deep neural network approach for detecting diabetic foot ulcers through multi-scale feature fusion using the DFU dataset, " In: Intelligence-Based Medicine (Q2, Elsevier), 8 100128 (2023-01-01) . https://doi.org/10.1016/j.ibmed.2023.100128
Husne Farah, Fahmida Islam, Shuvo Biswas, Mohammad Shorif Uddin, "A Hybrid Deep and Machine Learning Framework with Feature Selection for Automated Classification of Acute Lymphoblastic Leukemia, " In: Journal of Computer and Communications, 14(3), 278 (2026-01-01) . 10.4236/jcc.2026.143014

AWARDS AND RESEARCH GRANTS

Award Title Organization Award year Awardee Position Award Description