Sabik Aftahee

CS Major | Junior AI Engineer@SysModeler.ai | Blockchain Olympiad International Merit Awardee | 2x Hackathon Winner | Research: Trustworthy AI.

An AI Engineer and Machine Learning Researcher with research interests in multimodal AI, computer vision, and trustworthy AI systems. My work focuses on designing intelligent systems that go beyond benchmark performance to remain reliable under ambiguity, distribution shift, and real-world, safety-critical conditions where errors carry high costs. Seeking graduate study opportunities to understand and close the gap between AI capability and reliability by analyzing how AI systems fail, how they can be evaluated and improved for safe deployment.

Education

Chittagong University of Engineering and Technology (CUET)

Bachelor of Science in Computer Science and Engineering (CSE)
CGPA: 3.71 /4.00 | Years: 2020-2025

Higher Secondary Certificate (HSC)
Adamjee Cantonment College
GPA: 5.00/5.00 (Recipient of Government Scholarship) | Years: 2017-2019

Secondary School Certificate (SSC)
Shamsul Hoque Khan School & College
GPA: 5.00/5.00 (Recipient of Government Scholarship) | Years: 2011-2017

Publications and Ongoing Works

Title: Assessing the Reliability of Large Language Models in the Bengali Legal Context: A Comparative Evaluation Using LLM-as-Judge and Legal Experts

Authors: Sabik Aftahee, A.F.M. Farhad, Arpita Mallik, Ratnajit Dhar, Jawadul Karim, Nahiyan Bin Noor, Ishmam Ahmed Solaiman
Status: Submitted to Journal of Artificial Intelligence
Link: https://arxiv.org/abs/2511.05627

Title: MRAViT-XAI: A Novel Multi-Resolution Attention Vision Transformer Framework with Explainable AI for Enhanced Lung and Colon Cancer Classification

Authors: Md. Abdur Rahman, Sabik Aftahee, Lamim Zakir Pronay, Md. Ashiqur Rahman
Publication Venue: 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN 2025)
IEEE Link: https://ieeexplore.ieee.org/document/11172105

Title: FAKD-XAI: Feature-Aligned Knowledge Distillation with Explainable AI for Efficient Brain Tumor Classification

Authors: Md. Abdur Rahman, Sabik Aftahee, Md. Ashiqur Rahman, Md. Pronay Farab
Publication Venue: International Conference on Data Science, AI and Applications (ICDSAIA 2025)
Springer Nature Link: https://link.springer.com/chapter/10.1007/978-3-032-11335-1_30

ACL Workshops:

Title: SmolLab_SEU at BEA 2025 Shared Task: A Transformer-Based Framework for Multi-Track Pedagogical Evaluation of AI-Powered Tutors

Authors: Md. Abdur Rahman, Md. Al Amin, Sabik Aftahee, Muhammad Junayed, Md. Ashiqur Rahman
Publication Venue: Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
Link: https://aclanthology.org/2025.bea-1.88/

Title: Zero_Shot at SemEval-2025 Task 11: Fine-Tuning Deep Learning and Transformer-Based Models for Emotion Detection in Multi-Label Classification, Intensity Estimation, and Cross-Lingual Adaptation

Authors: Ashraful Islam Paran, Sabik Aftahee, Md. Refaj Hossan, Jawad Hossain, Mohammed Moshiul Hoque
Publication Venue: Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
Link: https://aclanthology.org/2025.semeval-1.247/

Title: Hinterwelt@LT-EDI 2025: A Transformer-Based Detection of Caste and Migration Hate Speech in Tamil Social Media

Authors: Md. Al Amin, Sabik Aftahee, Md. Abdur Rahman, Md. Sajid Hossain Khan, Md. Ashiqur Rahman
Publication Venue: Fifth Workshop on Language Technology for Equality, Diversity, and Inclusion (LT-EDI-2025), LDK 2025
Link: https://aclanthology.org/2025.ltedi-1.24/

Title: Hinterwelt@LT-EDI 2025: A Transformer-Based Approach for Identifying Racial Hoaxes in Code-Mixed Hindi-English Social Media Narratives

Authors: Md. Abdur Rahman, Md. Al Amin, Sabik Aftahee, Md. Ashiqur Rahman
Publication Venue: Fifth Workshop on Language Technology for Equality, Diversity, and Inclusion (LT-EDI-2025), LDK 2025
Link: https://aclanthology.org/2025.ltedi-1.21/

Title: CUET_NetworkSociety@DravidianLangTech 2025: A Transformer-Based Approach for Detecting AI-Generated Product Reviews in Low-Resource Dravidian Languages

Authors: Sabik Aftahee, Tofayel Ahmmed Babu, Md. Musa Kalimullah Ratul, Jawad Hossain, Mohammed Moshiul Hoque
Publication Venue: Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
Link: https://aclanthology.org/2025.dravidianlangtech-1.110/

Title: CUET_NetworkSociety@DravidianLangTech 2025: A Multimodal Framework to Detect Misogyny Meme in Dravidian Languages

Authors: Md. Musa Kalimullah Ratul, Sabik Aftahee, Tofayel Ahmmed Babu, Jawad Hossain, Mohammed Moshiul Hoque
Publication Venue: Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
Link: https://aclanthology.org/2025.dravidianlangtech-1.92/

Title: CUET_NetworkSociety@DravidianLangTech 2025: A Transformer-Driven Approach to Political Sentiment Analysis of Tamil X (Twitter) Comments

Authors: Tofayel Ahmmed Babu, Md. Musa Kalimullah Ratul, Sabik Aftahee, Jawad Hossain, Mohammed Moshiul Hoque
Publication Venue: Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
Link: https://aclanthology.org/2025.dravidianlangtech-1.93/

Undergraduate Thesis:

Title: A Transformer-Based Approach for Identification of Natural Disasters from Multimodal Contents with Multimodal Fusion

Authors: Sabik Aftahee, Md. Monjur Ul Hasan
Status: Ongoing Journal Work
Manuscript: https://drive.google.com/file/d/15sE3Mcfk-4P5pULJ65l3hw1-kkG7Zxz7/view?usp=sharing

Click To See Other Research Activities!

Featured Achievements

International Merit Award In IBCOL 2023 (International Blockchain Olympiad)

CUET Unanimous, has been honored with the Merit Award, securing a spot in the Top 7 out of more than 55 leading global teams from around the world at the prestigious IBCOL 2023 (International Blockchain Olympiad) held in the Amsterdam,Netherlands!

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Runner Up In Global hackathon: HackCSB

"Grey Matter," a platform connecting novice researchers and students with Bangladeshi scientists, secured the Runner-Up position at HackCSB, a global hackathon by Coding Shikhbe Bangladesh. Selected from 116 submissions, it was judged by experts including Principal Software Engineering Managers from Microsoft and Google, 3x YC Founders, Hackathon Winners, US Venture Capital Investors, and top professionals from the University of Cambridge, Meta, and Netflix.

Project Page Here!

National Champion of Climate Justice Competition : Season 03

Team Unanimous, has been featured in The Daily Star after winning the title of National Champion in the Climate Justice Idea Competition 2024 raising BDT 50,000 in capital for our venture: "Eco Flow Concrete," a pervious solution that recharges groundwater, reduces runoff, and combats waterlogging—promoting sustainable urban infrastructure with aesthetic versatility.

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Top 50 OnSite NASA Space App Challenge

Team Artemis, Selected for (Top 50) in-person participation in the NASA Space Apps Challenge Bangladesh 2024, hosted at AIUB! Competing in a 36-hour hackathon, our project features an interactive app showcasing the James Webb Space Telescope (JWST) through 3D visuals, storytelling, games, and AI—developed using Unity Engine and Blender. 🚀