Dr. Arif Hasan Rahman
Assistant Professor & Research Lead
Department of Computer Science & Engineering, Horizon University
Dr. Rahman’s work sits at the intersection of machine learning, computer vision, and applied AI systems. He leads the AIVA Lab (Artificial Intelligence & Visual Analytics), where his team focuses on building practical, interpretable models for healthcare diagnostics, intelligent transportation, and large-scale data analysis. His research has appeared in respected international journals and conferences, and his projects emphasize real-world impact alongside strong theoretical grounding.
Research Impacts
1,847+
Total Citations
45
h-index
12
Active Grants
85+
Publications
Featured
2024
Neural Decode Interface
Real-time EEG decoding for paralysis patients
Paper
Project
2024
Neural Decode Interface
Real-time EEG decoding for paralysis patients
Paper
Code
2024
Neural Decode Interface
Real-time EEG decoding for paralysis patients
Paper
Video
Research Areas
Exploring cutting-edge technologies to solve real-world challenges
Machine Learning
Developing novel algorithms for pattern recognition and predictive analytics in complex systems
Signal Processing
Advanced techniques for analyzing and interpreting electrical signals in various applications
IoT Systems
Designing interconnected systems with focus on data acquisition and security
Embedded Systems
Creating optimized solutions for real-time signal processing applications
Cybersecurity
Developing security solutions for critical infrastructure and IoT networks
Data Analytics
Designing interconnected systems with focus on data acquisition and security
Selected Publications
Nature Machine Intelligence (2023)
Advanced Signal Processing Techniques for IoT Applications in Smart Cities
Choudhury, S.M., Ahmed, R., Karim, M., & Hassan, S.
IEEE Transactions on Signal Processing, Vol. 71, pp. 1234-1248, 2023
Read Abstract
This paper addresses the disparities in automated diagnosis systems across different demographic groups. We propose a novel adversarial debiasing technique that improves accuracy by 15% in underrepresented populations without sacrificing overall performance.
DOI
Cite
CVPR (2022)
Real-time Eye Tracking for UX Analysis
Choudhury, S.M., Ahmed, R., Karim, M., & Hassan, S.
IEEE Transactions on Signal Processing, Vol. 71, pp. 1234-1248, 2023
Read Abstract
We present a lightweight convolutional neural network capable of running on edge devices to track user gaze in real-time. This enables large-scale, privacy-preserving UX studies in natural environments.
DOI
Cite
Journal of AI Research (2021)
Explainable AI: A Comprehensive Survey
Choudhury, S.M., Ahmed, R., Karim, M., & Hassan, S.
This survey categorizes existing methods in Explainable AI (XAI) and proposes a taxonomy based on the scope of explanation (local vs. global) and the target audience (experts vs. end-users).
DOI
Cite
Publication Highlights
2023
Adversarial Robustness in Reinforcement Learning.
Proc. of ICML
User Trust in Automated Driving Systems. IEEE Transactions on Human-Machine Systems.
IEEE Transactions on Human-Machine Systems. Full Text Available
2022
Real-time Eye Tracking for UX Analysis.
Proc. of CVPR.
Data Augmentation Strategies for Low-Resource Languages.
ACL Findings
Ethical Considerations in Generative AI
AI & Society Journal
2021
Real-time Eye Tracking for UX Analysis.
Proc. of CVPR.
Professional Experience
2021 – Present
Associate Professor & Principal Investigator
Department of Computer Science & Engineering, NovaTech University
Leading research in machine learning, signal processing, and data-driven systems.Supervising graduate students and doctoral researchers.Teaching advanced courses in AI, pattern recognition, and research methods.
2016 – 2021
Assistant Professor
Department of Electrical & Computer Engineering, Atlas Institute of Technology
Founded and led the SPARK Lab focusing on signal processing and applied machine learning. Secured competitive research funding and published in peer-reviewed venues. Supervised graduate theses and coordinated collaborative research projects.
2016 – 2021
Assistant Professor
Department of Electrical & Computer Engineering, Atlas Institute of Technology
Founded and led the SPARK Lab focusing on signal processing and applied machine learning. Secured competitive research funding and published in peer-reviewed venues. Supervised graduate theses and coordinated collaborative research projects.
2009 – 2012
Research Fellow
Advanced Computing Research Center
Founded and led the SPARK Lab focusing on signal processing and applied machine learning. Secured competitive research funding and published in peer-reviewed venues. Supervised graduate theses and coordinated collaborative research projects.
Research Projects
Machine Learning
An intelligent tutoring system that adapts to student frustration levels via sentiment analysis.
Machine Learning
A platform for sharing sensitive research datasets using differential privacy techniques.
Machine Learning
A platform for sharing sensitive research datasets using differential privacy techniques.
Get In Touch
jsmith@gmail.com
Room 404, CS Building
+1 (555) 123-4567
© 2026 Dr. Arif Hasan Rahman. All rights reserved.