I am a Lecturer in the Department of Computer Science & Engineering at East West University, with a passion for multidisciplinary research. My primary research interests lie in Machine Learning and Artificial Intelligence, focusing on data mining, predictive modeling, and explainable AI (XAI).

Additionally, I explore applications of AI and ML in transportation, including Intelligent Transportation Systems (ITS) and crash prediction and safety analysis. I aim to contribute to innovative solutions that bridge technology and societal needs.

---

Work Experience

Lecturer
Department of Computer Science & Engineering, East West University (October 2024 - Present)

---

Education

M.Sc. in Software Engineering
Institute of Information Technology, University of Dhaka (January 2023 - June 2024)

B.Sc. in Computer Science and Engineering
North South University (January 2018 - May 2022)

---

Research Experience

Master’s Thesis

Towards Explainable Machine Learning Approach to Traffic Crash Outcomes Prediction

• Developed predictive models for traffic crash occurrence and severity using interpretable machine learning.
• Utilized iRAP-coded road safety attributes from street view imagery across hazardous roads in Dhaka and historical crash data.
• Achieved ROC-AUC scores of 0.83 for crash occurrence and 0.72 for severity using LightGBM.
• SHAP analysis highlighted key crash determinants.

Undergraduate Thesis

Cricket Score and Win Probability Prediction using Machine Learning Techniques

• Developed a machine learning model with 97.62% accuracy to predict cricket match outcomes.
• Introduced novel features to capture match dynamics.
• Utilized Random Forest Regressor for score prediction and Logistic Regression for win probability, trained on 15 years of ODI and T20I data.

Undergraduate Directed Research

Liver Cirrhosis Prediction using Explainable Machine Learning Techniques

• Investigated liver cirrhosis detection using machine learning on medical attributes.
• Achieved 88.57% accuracy with the Stochastic Gradient Descent model.
• Implemented Explainable AI (XAI) techniques to interpret the model.

---

Journal Publications

1. Rifat, M. A. K., Kabir, A., & Huq, A. S. (2024). An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction. Procedia Computer Science. (In Press)
2. Chakraborty, D., Rifat, M. A. K., Satter, A. (2024). Analyzing App Reviews to Generate Bug Report Summaries for Software Maintenance. Software: Practice and Experience. (In Review)
3. Rifat, M. A. K., Huq, A., S., Hossain, K., R., Kabir, A. (2024). Predicting the outcomes of traffic crash using interpretable machine learning on iRAP road safety attributes from street view imagery. Accident Analysis and Prevention. (In Review)
4. Rifat, M. A. K., Sultana, Y., & Hossain, B. M. M. (2023). Vulnerabilities Assessment of Financial and Government Websites: A Developing Country perspective. International Journal of Information Engineering and Electronic Business, 15(5), 42–53.

---

Ongoing Projects

1. Data-Driven Evaluation of International Road Assessment Programme (iRAP) Star Ratings: Correlation with Crash Frequency and Contextual Peculiarities in Bangladesh.
2. SafeDrive: Enhancing Navigation with Safe Route Recommendation.

---

Honors & Awards

• ICT Division Government Fellowship Award for Master’s Thesis (2023 - 2024)
• Magna Cum Laude Distinction for academic excellence at North South University (2022)
• Secondary School Scholarship from The Scholars Forum Dhaka (2015)

---

Skills

Programming & ML Libraries
Python, Scikit-Learn, Pandas, Numpy, SQL, Matplotlib, Streamlit, GPT, SHAP

Software Tools
Git, Slack, Trello, Data Studio, Illustrator, MS Office

Interpersonal
Research, Analytical Thinking, Innovation, Troubleshooting

---

Academic Projects

• Street Light Automation System
  A simulation project providing a fully automated street light control system using an 8051 microcontroller, offering cost-effective public lighting.

• Courier Management System
  Built a MySQL-based database system for a courier service to manage customer information.

• Bari Bhara Web Application
  Created a Django-based real estate web app to list and find properties for sale or rent.

---

Certifications

• Machine Learning Course, Stanford University (Coursera, 2022)
• Programming for Everybody (Getting Started with Python), (2020)

---

Feel free to reach out to collaborate on exciting projects or for any inquiries! Personal Email: rifat.asifkhan@gmail.com