15/01/2026
From Classroom to Cambridge: Faria Zarin Subah’s Inspiring Journey at UAP!
Faria Zarin Subah’s journey at the University of Asia Pacific reflects a steady evolution shaped by curiosity, resilience, and a deep commitment to academic excellence. After completing her undergraduate studies in Computer Science & Engineering at Chittagong University of Engineering and Technology (CUET), she joined UAP in January 2022 as a Lecturer in the Department of Computer Science and Engineering. From her first semester, she focused on building classrooms that encouraged analytical thinking, curiosity, and confidence, qualities she believes are essential for future engineers.
At UAP, she taught a wide range of core and advanced courses, including Computer Fundamentals and Programming, Structured Programming, Machine Learning, Microprocessors and Assembly Language, VLSI Design and Testing, Software Development, and Project Strategy and Management. Alongside teaching, she supervised student projects addressing real-world challenges, particularly in the application of machine learning for mental health and automated disease detection. During the 45th ICPC World Finals hosted in Dhaka, she led the Host Student Volunteers Photography and Videography team and worked closely with the ICPC international media and academic community, an experience that broadened her academic outlook and reinforced her aspirations for advanced research.
In July 2023, she embarked on study leave to pursue an MPhil in Machine Learning and Machine Intelligence at the University of Cambridge, one of the world’s leading academic institutions. Awarded both the Prime Minister’s Fellowship and the Bangabandhu Fellowship, she proceeded with the Prime Minister’s Fellowship to undertake this rigorous program. At Cambridge, she completed intensive postgraduate coursework spanning advanced machine learning, probabilistic modeling, computational neuroscience, speech recognition, reinforcement learning, and AI ethics. Her MPhil thesis focused on fairness-aware synthetic data generation using large language models, examining whether AI systems can be guided not only to replicate reality, but also to reduce embedded societal biases. This experience strengthened her research skills, deepened her ethical perspective, and reshaped her approach to teaching and mentorship.
She rejoined the University of Asia Pacific in January 2025 following the completion of her postgraduate studies, bringing back advanced technical knowledge and a renewed vision for research-informed teaching. In recognition of her academic accomplishments and teaching contributions, she was promoted to Assistant Professor in December 2025. Drawing on her international exposure at Cambridge, she now works to foster a more analytical, research-oriented, and student-supportive academic environment at UAP. Her journey, from undergraduate student to international graduate scholar, from lecturer to Assistant Professor, reflects a full circle defined by growth, perseverance, and a lasting commitment to advancing the academic and research culture of the University of Asia Pacific.
