Alif Al Hasan CS PhD Student @ CWRU

Academic


Education

Ph.D. | Computer Science

Case Western Reserve University

Aug, 2025 – Ongoing

M.Sc. | Computer Science and Engineering

Jahangirnagar University

Jul, 2023 – Dec, 2024

B.Sc. | Computer Science and Engineering

Jahangirnagar University

Feb, 2018 – Jun, 2023



Research Experience

Graduate Research Assistant

Safe and Responsible AI Engineering Lab

Case Western Reserve University, Ohio, USA

Aug, 2025 – Present

Supervisor: Dr. Sumon Biswas

  • Led a comprehensive study characterizing the operational safety failures of agentic code assistants to identify vulnerabilities in automated program synthesis.
  • Evaluated state-of-the-art LLMs to pinpoint reliability gaps, establishing new testing frameworks to ensure the safety and robustness of AI in software engineering.
  • Authored and submitted manuscripts to top-tier software engineering conferences, including ASE 2026.
Remote Research Assistant

Lens for Empirical Navigation in Software Lab (LENS Lab)

Missouri University of Science and Technology, Missouri, USA

May, 2024 – Jul, 2025

Supervisor: Dr. Mia Mohammad Imran

  • Analyzed a curated dataset of 1,500 posts using Llama-3.1-70B to model novice emotions, identifying core triggers to propose five affect-aware support bots.
  • Developed an AI-guided refactoring framework benchmarked on MBPP and APPS datasets, reducing refactoring failures by 54–71% and improving novice function identification by 31.3%.
  • Co-authored two accepted peer-reviewed papers for top-tier software engineering conferences (ICSE-SEET '26 and EASE '26).
Remote Research Intern

Reliable and Intelligent Software Engineering Lab (Rise Lab)

University of Maryland, Baltimore County, Maryland, USA

Jan, 2025 – Feb, 2025

Supervisor: Dr. Tarannum Shaila Zaman

  • Built a benchmark of 206 verified Linux coreutils bug reports to evaluate how well open-source LLMs extract failure-inducing inputs.
  • Demonstrated that generative LLMs outperformed BERT baselines, with Qwen achieving 62.62% accuracy (BLEU-2 ≥ 0.5).
  • Co-authored a workshop paper accepted at LLanMER, co-located with FSE '25.
Research Assistant

Data Mining and Information Retrieval Systems Lab

Jahangirnagar University, Dhaka, Bangladesh

Nov, 2023 – Jul, 2024

Supervisor: Dr. Md. Musfique Anwar

  • Engineered a Graph-Enhanced Transformer (SEAGET) integrating seasonal and operational time data for Point-of-Interest (POI) recommendation.
  • Outperformed state-of-the-art baseline algorithms with a 13.7% improvement in Acc@1.
  • Co-authored a Q1 journal article published in Array (SCI, IF 4.5).


Academic Experience

Graduate Teaching Assistant

CSDS 393/493: Software Engineering

Case Western Reserve University

Jan, 2026 – May, 2026 (Spring 2026)

  • Evaluated live project architectures and mentored student teams through the software development lifecycle for a cohort of 75 students.
  • Led weekly office hours to provide targeted one-on-one debugging support and assess technical assignments.
Graduate Teaching Assistant

CSDS 325/425: Computer Networks

Case Western Reserve University

Aug, 2025 – Dec, 2025 (Fall 2025)

  • Directed complex network simulation projects and facilitated technical discussions for 65 undergraduate and graduate students.
  • Evaluated technical coursework and held one-on-one mentoring sessions to reinforce core networking and routing concepts.
Teaching Assistant

Data Structures and Algorithms

Computer Science and Engineering

Jahangirnagar University

Dec, 2021 – Apr, 2024

  • Led extra-curricular algorithmic training sessions for a cohort of 50 students, focusing on advanced data structures and problem-solving heuristics.
  • Coached competitive programming teams for national-level contests, conducting rigorous code reviews and optimizing debugging workflows.
Competitive Programming Mentor

Data Structures and Algorithms

Computer Science and Engineering

Netrokona University

Aug, 2023 – Dec, 2023

  • Designed an intensive weekly algorithmic curriculum for 30 students to rigorously prepare them for ICPC and IUPC regional contests.
  • Delivered personalized code reviews focusing on time-complexity optimization and efficient memory management.