AAD

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

ResearchGate | Google Scholar | LinkedIn | GitHub

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

  • Used voice signals dataset from UCI machine learning repository and implemented machine learning to make models for detecting Parkinson’s disease; Model performance was based on having low false negatives from the confusion matrix
  • Preprint: http://dx.doi.org/10.13140/RG.2.2.11742.61761

Tele Net App Service | 2022

Art Gallery Management | 2022

Smart Trash Can | 2022

  • Smart trash can system using HC-SR04 ultrasonic sensor, active infrared obstacle sensor and Arduino Uno R3; ultrasonic sensor determines the amount of available space inside and the infrared sensor automates the opening of the trash can; Simulated using Proteus and LabVIEW
  • Source: https://github.com/ExGranite/smart-trash-can

Data Logger | 2022

  • Data logger system using DHT11 and Arduino Uno R3; DHT11 reads the temperature and humidity readings and gives a visual representation; Simulated using Proteus and LabVIEW
  • Source: https://github.com/ExGranite/data-logger

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

  • World Highest in Further Pure Mathematics
  • World Highest in Mathematics A

Best Paper Award Winner, by ICIIBMS, 2022

  • Awarded for an article titled "Measuring Control of a Bowler to Predict Impact in ODI Cricket Using Classification Models"

Certificate of High Achievement by EDEXCEL, 2016

  • Awarded for obtaining World Highest in International GCSE Further Pure Mathematics
  • Awarded for obtaining World Highest in International GCSE Mathematics A

Theory

  • CSE320 || DATA COMMUNICATIONS

Laboratory

  • CSE110 || PROGRAMMING LANGUAGE I
  • CSE111 || PROGRAMMING LANGUAGE II
  • CSE220 || DATA STRUCTURES
  • CSE370 || DATABASE SYSTEMS
  • CSE421 || COMPUTER NETWORKS
  • CSE471 || SYSTEM ANALYSIS AND DESIGN

Thesis

Not Accepting


As:

Co-supervisor

Level:

Undergraduate

Type:

  • Thesis
  • Project

Research Interest

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:

  • Corpus Data
  • Applied Machine Learning
  • Reinforcement Learning
  • Deep Learning
  • Data Science
  • Data Mining
  • Database Management
  • Cloud Computing
  • Cloud Resource Allocation
  • Networking Protocols
  • Container Technology

©2024 BracU CSE Department