Research

I have previously worked as a researcher in the field of Machine Learning, Software Engineering, System Security, and Distributed Systems.

Education

• MSc. in Software Engineering (2021 - 2023, Thesis-based)
  University of Calgary, Canada 🇨🇦
  Thesis: Detection and Mitigation of Bias in Machine Learning Software and Datasets
• BSc in Computer Science and Engineering (2015 - 2020)
  Bangladesh University of Engineering & Technology (BUET), Bangladesh 🇧🇩
  Thesis: An Android Inter Component Communication based Collusive Malware Analysis and Visualization Tool
  
  

Interests

Experience

• Worked as a Graduate Research Assistant at University of Calgary.
• Worked as a Graduate Research Assistant at Bangladesh University of Engineering & Technology under the Innovation Fund program.
• Completed several research projects.

Publications

• Ajoy Das, Kanak Das, and Md. Shohrab Hossain. 2020. An Integrated Inspection and Visualization Tool for Accurate Android Collusive Malware Detection. In 7th International Conference on Networking, Systems and Security (7th NSysS 2020), December 22–24, 2020, Dhaka, Bangladesh.
• Md Shohel Khan, Ajoy Das, Md. Shohrab Hossain, and Husnu S. Narman. 2020. Prediction of Dengue Infected Areas using A Novel Blockchain based Crowdsourcing Framework. In IEEE 11th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON 2020), October 28-31, 2020, New York, USA.
• Ajoy Das, Gias Uddin, Guenther Ruhe. An Empirical Study of Blockchain Repositories in GitHub. In the International Conference on Evaluation and Assessment in Software Engineering (EASE 2022), Sweden.

Projects

• Detection and Mitigation of Bias in Machine Learning Software and Datasets (MSc Thesis): Studied the applications and challenges of fairness APIs in ML systems and developed a noble semi-automated tool for detecting and fixing data labeling inconsistency in sentiment analysis datasets.
• Explainable Geothermal (XGeoML) Toolkit: As a member of the data science team, collaborated with industry partners to develop ML models to aid in Geothermal well drilling. Performed data analysis, tested various forecasting regression models; performed explainability analysis.
• AndroCap: An Android Inter Component Communication based Collusive Malware Analysis and Visualization Tool.
• Generating Location Heatmap of Dengue Infected Area Using a Novel Blockchain-Based Crowdsourcing Framework.
• Blockchain-based Distributed Health Record System for Low-income Countries.
• Diving Deep into the Security Testing of the Android Applications of Bangladesh.