A. S. M. Shafi

Degree: Phd (Fellow) in Computer Science and Engineering (CSE)
University: Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail-1902, Bangladesh
Thesis Title: Medical Image Analysis using Deep Learning [2023-Present]

Degree: M.Sc. (Engg.) in Computer Science and Engineering (CSE) [Session: 2014-15, Passing Year: 2016]
University: Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh
CGPA: 4.00 On a scale of 4.00 (1st Merit Position in the Faculty of Engineering [Obtained highest CGPA/Marks])
Thesis Title: Colorectal Polyps Detection and Classification through Color Wavelet with Higher-Order Statistical Texture Feature and Convolutional Neural Network from Video Endoscopy.
My Master of Science by Thesis involved 43% research (Thesis) component [18 credits out of 42 credits]. The length of my thesis was 18,180 words and worked 12 months for my thesis [January 2018 - December 2019]. The thesis was assessed and examined by an external expert [Interpretation: Satisfactory]).

Degree: B.Sc. (Engg.) in Computer Science and Engineering (CSE), Session: 2010-11, Passing Year: 2014
University: Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail-1902, Bangladesh
CGPA: 3.67 On a scale of 4.00 [2nd Merit Position in the department of Computer Science and Engineering, Obtained second highest CGPA/Marks.
Thesis Title: Infected Fruits Disease Recognition and Automatic Classification [05 credits].

Degree: Higher Secondary School Certificate (HSC), Session: 2008-09, Passing Year: 2009
Board: Rajshahi
Institute/College: Mollah Azad Memorial Smarak College, Ahsangonj, Atrai, naogaon, Bangladesh
GPA: 5.00 out of 5.00

Degree: Secondary School Certificate (SSC), Session: 2006-07, Passing Year: 2007
Board: Rajshahi
Institute/School: Ahsan Ullah Smarak High School, Ahsangonj, Atrai, naogaon, Bangladesh
GPA: 5.00 out of 5.00

Assistant Professor from 23rd May 2021 - Present, Department of Computer Science and Engineering, University of Information Technology & Sciences (UITS), Holding 190, Road 5, Block J, Baridhara, Maddha Nayanagar, Vatara, Dhaka-1212, Bangladesh

Director from 26th April 2023 - Present, ICT Cell, University of Information Technology & Sciences (UITS), Holding 190, Road 5, Block J, Baridhara, Maddha Nayanagar, Vatara, Dhaka-1212, Bangladesh

Course Coordinator from 2nd January 2022 - 26th April 2023, Department of Computer Science and Engineering, University of Information Technology & Sciences (UITS), Holding 190, Road 5, Block J, Baridhara, Maddha Nayanagar, Vatara, Dhaka-1212, Bangladesh

Lecturer from 3rd April 2017 - 18th June 2021, Department of Computer Science and Engineering, Khwaja Yunus Ali University (KYAU), Enayetpur, Sirajgonj-6751, Bangladesh.

House Tutor from 9th September 2018 - 18th June 2021, Jamuna Hall (Male), Khwaja Yunus Ali University (KYAU), Enayetpur, Sirajgonj-6751, Bangladesh.

Medical Image Processing

Digital Image Processing

Deep / Machine Learning

Data Mining

1. A. S. M. Shafi, Md. Bayazid Rahman, Mohammad Motiur Rahman (2018). Fruit Disease Recognition and Automatic Classification using MSVM with Multiple Features. International Journal of Computer Application. Volume 181, No. 10. DOI: 10.5120/ijca2018916773.

2. A. S. M. Shafi, Mohammad Motiur Rahman (2020). Recognition and Classification of Fruit Diseases based on the Decomposition of Color Wavelet and Higher Order Statistical Texture Features. Proc. of International Joint Conference on Computational Intelligence (IJCCI). 25-26 October 2019. Dhaka, Bangladesh. Algorithms for Intelligent Systems, Springer.

3. A. S. M. Shafi, Mohammad Motiur Rahman (2020). Decomposition of color wavelet with higher order statistical texture and convolutional neural network features set based classification of colorectal polyps from video endoscopy. International Journal of Electrical and Computer Engineering (IJECE). Vol. 10, No. 3. pp2986 - 2996. DOI: 10.11591/ijece. v10i3. [Scopus]

4. A. S. M. Shafi, M. M. Imran Molla, Julakha Jahan Jui, Mohammad Motiur Rahman (2020). Detection of colon cancer based on microarray dataset using machine learning as a feature selection and classification techniques. SN Applied Sciences, 2:1243, https://doi.org/10.1007/s42452-020- 3051-2. [Scopus]

5. A. S. M. Shafi, Md. Rahat Khan, Mohammad Motiur Rahman (2021). Statistical Texture Features Based Automatic Detection and Classification of Diabetic Retinopathy. Proc. of International Joint Conference on Advance in Computational Intelligence (IJCACI). 20-21 November 2020. Dhaka, Bangladesh. Algorithms for Intelligent Systems, Springer

6. Mohammad Sarwar Hossain Mollah, Omar Faruk, Md. Selim Hossain, Md. Tarequl Islam, A. S. M. Shafi and M. M. Imran Molla (2021). Design and Performance Improvement of Microstrip Patch Antenna using Graphene Material for Communication Applications. IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE). 3-4 April 2021, Malaysia. [Scopus]

7. A. S. M. Shafi, Md. Bayazid Rahman, Tanjilul Anwar, Rajkumar Shashwata Halder and H M Emrul Kays (2021). Classification of Brain Tumors and Auto-immune Disease Using Ensemble Learning. Informatics in Medicine Unlocked. Elsevier [Scopus].

8. A. S. M. Shafi, Md. Mahmudul Hasan, M. M. Imran Molla, Mohammad Khurshed Alam and Md. Tarequl Islam (2021), Automatic Brain Tumor Detection using Feature Selection and Machine Learning from MRI Images, The 6th International Conference on Electrical, Control and Computer Engineering (InECCE), University Malaysia Pahang, Pekan, Pahang, Malaysia, Lecture Notes in Electrical Engineering, Springer. [Scopus]

9. M.M. Imran Molla, Md. Sakirul Islam, A. S. M. Shafi, Mohammad Khurshed Alam, Md. Tarequl Islam and Julakha Jahan Jui (2021), Feature Selection and Prediction of Heart Disease Using Machine Learning Approaches, The 6th International Conference on Electrical, Control and Computer Engineering (InECCE), University Malaysia Pahang, Pekan, Pahang, Malaysia, Lecture Notes in Electrical Engineering, Springer. [Scopus]

10. Md. Mahmodul Hasan, A. S. M. Shafi, and Al-Imtiaz (2022), Language Identification in Multilingual Text Document using Machine Learning, 4th International Conference on Trends in Computational and Cognitive Engineering (TCCE-2022, Tangail, Bangladesh, Springer. [Scopus]

11. Rakibul Hasan, A. S. M. Shafi (2023), Feature Selection Based Breast Cancer Prediction, International Journal of Image, Graphics and Signal Processing (IJIGSP), Vol.15, No.2, pp. 13-23, 2023. DOI:10.5815/ijigsp.2023.02.02. [Scopus]

12. Muhammad Minoar Hossain, Md. Abul Ala Walid, S.M. Saklain Galib, Mir Mohammad Azad, Wahidur Rahman, A.S.M. Shafi, Mohammad Motiur Rahman, COVID-19 detection from chest CT images using optimized deep features and ensemble classification, Systems and Soft Computing, Volume 6, 2024, 200077, ISSN 2772-9419, https://doi.org/10.1016/j.sasc.2024.200077, Elsevier [Scopus].

Worked as a Member of Quality Assurance Cell (QAC) of Khwaja Yunus Ali University (KYAU), Enayetpur, Sirajgonj-6751, Bangladesh from 22nd October 2020 ā€“ 18th June 2021.

Worked as a Judge of MUJIB 100 Idea Contest ā€“ 2021.

Worked as a class representative during school and university level.

Served as a Member of MBSTU Alumni Association, Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh.

Working as an Executive Member of Computer Club, Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh.

Working as a member secretary of course equivalence committee, Dept. of CSE, UITS

Working as a member of academic, planning, examination, admission, disciplinary committee, Dept. of CSE, UITS

Reviewer: Computers in Biology and Medicine, Informatics in Medicine Unlocked, SN Applied Sciences, Applied Artificial Intelligence, Scientific Reports

Sub Reviewer: International Joint Conference on Advances in Computational Intelligence, IJCACI 2021.