Minhaz Bin Farukee

I am a PhD student in Computer Science at the University of Texas at Arlington. I work in the Heracleia Human-Centered Computing Lab with Dr. Fillia Makedon . My research is at the intersection of Natural Language Processing and Human-Computer Interaction. I have worked on various assistive technologies, including multimodal and robotic systems for accessibility. Currently, I am studying hysteresis behavior in large language models.

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News

Summer 2026

I will be joining Amazon as an Applied Scientist Intern II in Bellevue, Washington.

Jan. 2026

HEGXIS: Heterogeneous Graph Network for Explainable Multi-Intent Detection and Slot Filling is under review at ACL Rolling Review.

2025

NavVI: A Telerobotic Simulation with Multimodal Feedback for Visually Impaired Navigation in Warehouse Environments was released as an arXiv preprint.

July 2024

Received the NSF Doctoral Consortium Award 2024.

April 2024

Awarded the Graduate Dean's Summer Research Assistantship for Summer 2024.

Aug. 2023

Started my PhD in Computer Science at the University of Texas at Arlington.

Professional Experience

Aug. 2023 – Present

Graduate Research and Teaching Assistant

University of Texas at Arlington · Arlington, TX

Mentored students in Introduction to Data Science and Database Systems.
Led hands-on labs involving Python-based data analysis, machine learning, and advanced SQL query writing.
Conduct research in Natural Language Processing, Machine Learning, Human-Computer Interaction, accessibility, and applied AI systems.

Oct. 2021 – July 2023

Machine Learning Engineer

Advanced Chemical Industries Ltd. · Dhaka, Bangladesh

Engineered an AI-powered real-time video analysis system for a multi-camera retail environment.
Built automated customer engagement reporting on dynamic floor plans to reduce manual monitoring.
Designed a voice-controlled virtual assistant with speech-to-text, text-to-speech, conversational AI, and facial recognition.
Developed a PyTorch deep learning model for handwritten medicine-name recognition from medical prescriptions and deployed it in a mobile app.

Apr. 2021 – Sept. 2021

Junior Data Scientist

KONA Software Lab · Dhaka, Bangladesh

Contributed to the research and development of a hybrid coupon recommender engine using collaborative and content-based recommendation methods.
Helped build a production pipeline serving 100,000+ users in South Korea.
Designed an end-to-end customer segmentation pipeline using RFM analysis and clustering methods.

Apr. 2019 – May 2019

Trainee / Intern

Huawei Technologies · Shenzhen, China

Gained hands-on experience configuring and testing experimental 4G and 5G base stations in a Huawei lab environment.

Education

PhD in Computer Science

University of Texas at Arlington

August 2023 – August 2027 Expected

Research focus: Natural Language Processing, Machine Learning, and Human-Computer Interaction.

BSc in Computer Science & Engineering

Rajshahi University of Engineering & Technology

January 2016 – February 2021

Undergraduate training in computer science, software engineering, algorithms, databases, machine learning, and engineering fundamentals.

Publications

HEGXIS: Heterogeneous Graph Network for Explainable Multi-Intent Detection and Slot Filling

Minhaz Bin Farukee, Fillia Makedon

Under review at ACL Rolling Review, January 2026

This work investigates heterogeneous graph-based modeling for explainable multi-intent detection and slot filling.

NavVI: A Telerobotic Simulation with Multimodal Feedback for Visually Impaired Navigation in Warehouse Environments

Minhaz Bin Farukee, Maisha Maimuna, Sama Nikanfar, Ayon Roy, Mahfuza Siddiqua, Fillia Makedon

arXiv preprint arXiv:2507.15072v1, 2025

This paper presents a telerobotic simulation system with multimodal feedback for navigation support in warehouse environments.

Mindful Assistant: Personalized Assistance in Daily Living Activities for Individuals with Paralysis via Multimodal Cognitive Fatigue Assessment

Enamul Karim, Maisha Maimuna, Minhaz Bin Farukee, Fillia Makedon

Under review at ACM Transactions on Accessible Computing

This work explores multimodal cognitive fatigue assessment for personalized assistance in daily living activities.

An Adaptive Robotic Framework for Assisting People with Paralysis in Daily Living Activities

Enamul Karim, Maisha Maimuna, Ayon Roy, Minhaz Bin Farukee, Gaurav Nale, Fillia Makedon

PETRA, 2025

This work presents an adaptive robotic framework for assistive daily living support.

DDoS Attack Detection in IoT Networks Using Deep Learning Models Combined with Random Forest as Feature Selector

Minhaz Bin Farukee, M. S. Zaman Shabit, Md. Rakibul Haque, A. H. M. Sarowar Sattar

2nd International Conference on Advances in Cyber Security, 2020

This paper studies IoT DDoS attack detection using deep learning models with Random Forest-based feature selection.

Honors & Awards

NSF Doctoral Consortium Award

Doctoral Consortium Award

July 2024

Graduate Dean's Summer Research Assistantship

University of Texas at Arlington

April 2024

First Runner Up

Robi Datathon 2.0

April 2024

Champion

Huawei Seeds for the Future-2019

April 2024

Resume

Curriculum Vitae / Resume

My resume includes my research experience, professional experience, publications, technical skills, teaching experience, and awards.

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