Doctor of Philosophy (PhD) in Information Science:
Duration: 2015–2018
Institute: Japan Advanced Institute of Science and Technology (JAIST), Japan
School: School of Information Science
Supervisor: Prof. Yasushi Inoguchi
Degree of Master of Science (Information Science):
Duration: 2013–2015
Institute: Japan Advanced Institute of Science and Technology (JAIST), Japan
School: School of Information Science
Supervisor: Prof. Yasushi Inoguchi
Bachelor of Science in Computer Science and Engineering:
Duration: 2004–2008
Institute: Khulna University of Engineering & Technology (KUET), Bangladesh
Department: Department of Computer Science and Engineering
Supervisor: Prof. M. M. Hafizur Rahman
Higher Secondary School Certificate (H.S.C.):
Duration: 2002–2003
Institute: Khulna Public College, Bangladesh
Secondary School Certificate (S.S.C.):
Duration: 2000–2002
Institute: Rotary School, Khulna, Bangladesh
Green University of Bangladesh
Assistant Professor
Department of Computer Science and Engineering
July 2021 – Till to date
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. 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.
2. 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.
3. 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).
4. 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.
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.
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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)
Research of Interests:
- Machine Learning
- Deep Learning
- Medical Image Analysis
- Grid/Cloud Architecture
- Interconnection Networks
- High Performance Computing