PREMIER UNIVERSITY

Department of Computer Science And Engineering

PREMIER UNIVERSITY

Department of Computer Science And Engineering
Profile

Department of Computer Science And Engineering

Faisal Ahmed

Assistant Professor, Department of Computer Science and Engineering

faisalcsecubd@gmail.com

About


To get a challenging position at a reputed educational institution where creativity, sincerity, skill and performance are the criteria for one’s appraisal and recognition and in which I can utilize my knowledge and experience.  

Qualification


  •          Master of Science in Computer Science & Engineering from UIU  
  •          Bachelor of Science in Computer Science & Engineering from CU

Experience


1. Position: Assistant Professor

Organization: Department of Computer Science and Engineering, Premier University

Duration: From 1 December 2022 to present

 

2. Position: Lecturer

Organization: Department of Computer Science and Engineering, Premier University

Duration: From 13 July 2017 to 30 November 2022

 

3. Position: Software Engineer

Organization: AGAMI Labs

Duration: From 1 March 2017 to 12 July 2017

Area of Interests


Privacy-Preserving Machine Learning, Bioinformatics and Computational Biology, Medical Image Processing, Natural Language Processing, Explainable AI, and Expert Systems. 

Research


Journals

1. Faisal Ahmed, Iman Dehzangi, Swakkhar Shatabda: DeepPhoPred: An accurate two-headed deep convolutional neural network to predict microbial phosphorylation sites, Computational and Structural Biotechnology Journal, Elsevier, Impact Factor: 6.155, SCIE, Q1 (Under Review)

2. Faisal Ahmed, Iman Dehzangi, Md. Mehedi Hasan, Swakkhar Shatabda: Accurately predicting microbial phosphorylation sites using evolutionary and structural features, Gene, Elsevier, Impact Factor: 3.913, SCI, Q2

3. Faisal Ahmed, Mohammad Shahadat Hossain, Raihan Ul Islam, Karl Andersson: An Evolutionary Belief Rule-Based Clinical Decision Support System to Predict COVID- 19 Severity under Uncertainty, Applied Science, MDPI, Impact Factor: 2.679, SCIE, Q2

4. K. M. Jawadur Rahman, Faisal Ahmed, Nazma Akhter, Mohammad Hasan, Ruhul Amin, Kazi Ehsan Aziz, A. K. M. Muzahidul Islam, Md. Saddam Hossain Mukta, A. K. M. Najmul Islam: Challenges, Applications and Design Aspects of Federated Learning: A Survey, IEEE Access,  IEEE, Impact Factor: 3.367, ISI, Q1

5. Mohammad Shahadat Hossain, Faisal Ahmed, Fatema-Tuj-Johora, Karl Andersson: A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty, Journal of Medical Systems, Springer, Impact Factor: 4.460, SCIE, Q1

Conference Proceedings:

6. Faisal Ahmed, Mohammad Naim Uddin Rah, Raihan Uddin, Anik Sen, Mohammad Shahadat Hossain, Karl Andersson: Machine Learning Based Tomato Leaf Disease Diagnosis Using Radiomics Features, In Proc. of Fourth International Conference Trend in Computational and Cognitive Engineering (TCCE 2022) (Accepted)

7. Faisal Ahmed, Mohammad Hasan, Mohammad Shahadat Hossain, Karl Andersson: Comparative Performance of Tree-Based Machine Learning Classifiers in Product Backorder PredictionIn Proc. of Fifth International Conference on Intelligent Computing & Optimization (ICO 2022), pp. 572-584. Springer, Cham, 2022.

8. Faisal Ahmed, Nazma Akther, Mohammad Hasan, Kibtia Chowdhury and Md. Saddam Hos- sain Mukta: Word Embedding based News Classification by using CNN, In Proc. of 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM 2021), pp. 609-613. IEEE, 2021.

9. Faisal Ahmed, Fatema-Tuj-Johora, R. J. Chakma, S. Hossain, D. Sarma: A Combined Belief Rule-based Expert System to Predict Coronary Artery Disease, In Proc. of 2020 International Conference on Inventive Computation Technologies (ICICT 2022) 

10. Umme Habiba, Shiuly Barua, Faisal Ahmed, Golap Kanti Dey, Kazi Tanvir Ahmmed: 3rd Hand: A device to support elderly and disabled person, In Proc. of 2nd International Conference on Electrical Information and Communication Technologies (EICT 2015)


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