Dr. Faiz Al Faisal

Green University of Bangladesh

Associate Professor

Department of Computer Science and Engineering

April 2024 – Till to date

Green University of Bangladesh

Assistant Professor

Department of Computer Science and Engineering

July 2021 – March 2024

Canadian University of Bangladesh

Assistant Professor

Department of Computer Science and Engineering.

Jan 2021- July 2021

North South University

Assistant Professor

Dept. of Electrical and Computer Engineering (ECE)

Jan. 2019 – Oct. 2020

Banglalink Digital Communication Limited

IN-VAS Associate Engineer

Dept. of Operation and Maintenance (O&M)

June 2010 – April 2013

Leads Corporation Limited

Software Engineer

Software and Development Section

June 2009 – May 2010

Journals:

        1. Muhammad Nazrul Islam, Md Shofiqul Islam, Nahid Hasan Shourav, Iftiaqur Rahman, Faiz Al Faisal, Md Motaharul Islam, Iqbal H Sarker, “Exploring post-COVID-19 health effects and features with advanced machine learning techniques”, Scientific Reports (Impact Factor- 4.6, Q1), 14(1), DOI: 10.1038/s41598-024-60504-w

        2. F. Al Faisal, Rahman, M. M., & Inoguchi, Y. (2023). An Extensive Power and Performance Analysis for High Dimensional Mesh and Torus Interconnection Networks. International Journal of Distributed Systems and Technologies (IJDST) (Impact Factor- 1.38, Q3), 14(1), 1-19, DOI: 10.4018/IJDST.321208

        3. Munim, KM, Islam, I, Milton, MMR, Ara, LA, Faisal, FA, Islam, MN. Exploring the impact of design technique on usability: A case study on designing the eHealth websites using card sorting and interactive dialogue model. Engineering Reports (Impact Factor- 2.0, Q2). 2023;e12738. doi: 10.1002/eng2.12738

       4. Faiz Al Faisal, M. M. H. Rahman and Y. Inoguchi, “HFBN: An Energy Efficient High Performance Hierarchical Interconnection Network for Exascale Supercomputer,” in IEEE Access (Impact Factor- 3.75, Q1), vol. 10, pp. 3088-3104, 2022, doi: 10.1109/ACCESS.2021.3138828.

        5. Faiz Al Faisal, M.M. Hafizur Rahman, Yasushi Inoguchi, “A new power efficient high performance interconnection network for many-core processors”, Journal of Parallel and Distributed Computing (JPDC)(Impact Factor- 3.734, Q1), Volume 101, Pages- 92-102, March 2017.

         6. Faiz Al Faisal, M.M. Hafizur Rahman, Yasushi Inoguchi, “3D-TTN: a power efficient cost effective high performance hierarchical interconnection network for next generation green supercomputer”, Cluster Computing (Springer)(Impact Factor- 3.45, Q2), 19 May 2021 (online).

          7. M.M. Hafizur Rahman, Yasushi Inoguchi, Faiz Al Faisal, Monoz Kumar Kundu, “Symmetric and Folded Tori Connected Torus Network”, Journal of Networks, Vol. 6, No. 1, Jan. 2011.

International Conferences:

         1. Faiz Al Faisal, et. al, “Data Analysis on Myocardial Infarction with the help of Machine Learning Algorithms considering Distinctive or Non-Distinctive Features”, International Conference on Computer Communication and Informatics (ICCCI), January 2020.

         2. Faiz Al Faisal, M.M. Hafizur Rahman, Yasushi Inoguchi, “Power Analysis with Variable Traffic Loads for Next Generation Interconnection Networks”, 18th IEEE Int. Conf. on High Perf. Computing and Communications (HPCC), Sydney, Australia, 12-14 Dec. 2016.

         3. M.M. Hafizur Rahman, Faiz Al Faisal, Rizal Mohd. Nor, Tengku Sembok, M.A.H. Akhand and Yasushi Inoguchi, “Packing Density and Message Traffic Density of a Midimew Connected Mesh Network”, International Conference on Computer and Communication Engineering (ICCCE), KualaLampur, Malaysia, 26-27 July 2016.

         4. Faiz Al Faisal, M.M. Hafizur Rahman, Yasushi Inoguchi, “Dynamic Communication Performance of STTN under Various Traffic Patterns Using Virtual Cut-Through Flow Control”, IEEE 17th International Conference on Computational Science and Engineering, Chengdu, China, DOI:10.1109/CSE.2014.331, Dec. 2014.

         5. Faiz Al Faisal, M.M. Hafizur Rahman, Yasushi Inoguchi, “Dynamic Communication Performance of TTN with Uniform and Non-uniform Traffic Patterns using Virtual Cut-Through Flow Control”, Int. Conference on Advanced Computer Science Applications and Technologies (ACSAT), Amman, Jordan, Pages- 133-138, 29-30 Dec. 2014.

         6. Faiz Al Faisal, M.M. Hafizur Rahman, “Symmetric Tori connected Torus Network”, 12th International Conference on Computers and Information Technology (ICCIT ’09), Dhaka, Bangladesh, 21-23 Dec., 2009.

         7. Md Shihab Uddin, Md Fakrul Islam, Sharukh Rahman, Nasir Uddin Foysal, Muhammad Nazrul Islam, Md. Abdur Razzaque and Faiz Al Faisal, “A Novel Hybrid Deep Neural Network for Early Detection and Classification of Chicken Diseases”, 2023 5th International Conference on Sustainable Technologies for Industry 5.0 (STI), Dhaka, Bangladesh, 2023.

         8. N. U. Foysal, T. J. Thamid, M. S. Uddin, M. F. Islam, M. N. Islam and F. A. Faisal, “Advancing AI-based Assistive Systems for Visually Impaired People: Multi-Class Object Detection and Currency Classification,” 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 2023, pp. 438-442, doi: 10.1109/ICICT4SD59951.2023.10303628.

          9. F. A. Faisal, M. M. Hafizur Rahman and Y. Inoguchi, “Fault Tolerance and Cost Effectiveness Analysis of Low-Powered 3D-TESH Network,” 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka, Bangladesh, 2022, pp. 1-5, doi: 10.1109/STI56238.2022.10103276.

         10. M. R. Hossain Bhuiyan, N. Saha Roy, M. K. Roy, M. Sultanul Islam Ovi, F. A. Faisal and M. Aminur Rahaman, “Sedimentation Analysis on Padma River Using Machine Learning Techniques,” 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka, Bangladesh, 2022, pp. 1-6, doi: 10.1109/STI56238.2022.10103351

         11. B. Uddin, M. Shoab Hasan, M. Sobuj Mia, M. Aminur Rahaman, M. Parvez Hossain and F. Al Faisal, “A Robust Approach to Identify Banglish Words using Bangla Scripts,” 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka, Bangladesh, 2022, pp. 1-6, doi: 10.1109/STI56238.2022.10103312

         12. F. A. Faisal, et.al., “Exploring Factors Affecting Mental Health of High School Students due to COVID-19: An Exploratory Study”, International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2023), Dhaka, Bangladesh.

         13. F. A. Faisal, et.al., “Towards Developing an Intelligent Robotic System for Assisting Children in Basic Drawing”, International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2023), Dhaka, Bangladesh.

         14. F. A. Faisal, et.al., “An Ensemble-based Deep Learning Model for Multi-class Flower Recognition”, International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2023), Dhaka, Bangladesh.

Book Chapters:

         1. Faiz Al Faisal, et. al., “In Depth Analysis of Lung Disease Prediction Using Machine Learning Algorithms”, In book: Machine Learning, Image Processing, Network Security and Data Sciences, Springer, pp. 204-213, June 2020.

         2. Faiz Al Faisal, et. al.,”Cost Effectiveness Analysis of a Vertical Midimew-Connected Mesh Network (VMMN)”, In book: Computational Intelligence in Data Mining, DOI:10.1007/978-981-10-3874-7_5, 2017.

         3. Faiz Al Faisal, et. al.,”In Depth Analysis of Lung Disease Prediction Using Machine Learning Algorithms“, In book: Machine Learning, Image Processing, Network Security and Data Sciences, DOI:10.1007/978-981-15-6318-8_18, 2020.

• IEICE Excellent Student Paper Award, 2014 (Title: “Introduction of a New Interconnection Network that achieves high performance for Many-Core Processors”).
• NTT DoCoMo Student Scholarship (April 2013 – March 2015)(Master’s Degree)
• Doctoral Research Fellow (DRF) (April 2015 – March 2018) (PhD Degree)
• GUB Research Grant 2023 (G-23-11-12) (Title: “AI-Assisted Medical Image Analysis for Early Stage Detection and Accurate Classification”), July 2023

   
   

Research of Interests:

•        Machine Learning
• Deep Learning
• Medical Image Analysis
• Grid/Cloud Architecture
• Interconnection Networks
• High Performance Computing