Ahmad Al Asad
Adjunct Lecturer
ext.ahmad.asad@bracu.ac.bd
Address
CSE Department
4th floor, Room No # 4P,
Brac University,
Kha 224 Bir Uttam Rafiqul Islam Avenue,
Merul Badda, Dhaka, Bangladesh
Ahmad Al Asad is an Adjunct Lecturer in the Department of Computer Science and Engineering under the School of Data and Sciences at Brac University. He completed his Computer Science and Engineering undergraduate degree from BRAC University in 2022. He is an enthusiast about solving puzzles and experimenting with different problems. He wishes to continue his interest in continuously learning and researching new ideas and turning real-world problems into lines of code.
Excellence at chess is one mark of a scheming mind. - Sir Arthur Conan Doyle
A. A. Asad, T. Ashraf, I. Z. Chowdhury, A. Azam, K. N. Anwar, M. G. R. Alam & T. Rahman, "Measuring Control of a Bowler to Predict Impact in ODI Cricket Using Classification Models," 2022 7th International Conference on Intelligent Informatics and Biomedical Science (ICIIBMS), 2022, pp. 329-334, doi: 10.1109/ICIIBMS55689.2022.9971630.
A. A. Asad, K. N. Anwar, I. Z. Chowdhury, A. Azam, T. Ashraf and T. Rahman, "Impact of a Batter in ODI Cricket Implementing Regression Models from Match Commentary," 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Gold Coast, Australia, 2022, pp. 1-6, doi: 10.1109/CSDE56538.2022.10089357.
Predicting Peak Performance of a Cricket Player Using Machine Learning and Data Analytics | Undergraduate Thesis, 2021 – 2022
Prediction of Parkinson's Disease from Voice Measurements using Machine Learning Classification Algorithms | 2022
Tele Net App Service | 2022
Art Gallery Management | 2022
Smart Trash Can | 2022
Data Logger | 2022
Online Food Ordering System | 2021
Line Follower Robot | 2021
Obstacle Avoiding Robot | 2021
BACHELOR OF SCIENCE: Computer Science and Engineering, Brac University, 2022
EDEXCEL IAL, Maple Leaf International School, 2018
EDEXCEL INTERNATIONAL GCSE, Maple Leaf International School, 2016
Best Paper Award Winner, by ICIIBMS, 2022
Certificate of High Achievement by EDEXCEL, 2016
Theory
Laboratory
Not Accepting
As: |
Co-supervisor |
Level: |
Undergraduate |
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My research interests are concentrated in the field of learning algorithms. I am particularly interested in data-driven predictive analysis and decision-making through the use of statistical machine learning models.
Research Areas: