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.
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PUBLICATIONS
1,847
CITATIONS
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H-INDEX
15+
YEARS EXP.
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
Research Interests
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
Publications
Publications
Recent research contributions to the academic community
Journal Articles
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
DOI
Cite
Deep Learning-Based Anomaly Detection in Industrial IoT Networks
Choudhury, S.M., Ahmed, R., Karim, M., & Hassan, S.
IEEE Transactions on Signal Processing, Vol. 71, pp. 1234-1248, 2023
DOI
Cite
Conference Papers
2024
Real-Time Signal Processing for Biomedical Applications: A Comprehensive Review
Choudhury, S.M., & Patel, N.
Biomedical Signal Processing and Control, Vol. 78, 2023
DOI
Cite
2023
Real-Time Signal Processing for Biomedical Applications: A Comprehensive Review
Choudhury, S.M., & Patel, N.
Biomedical Signal Processing and Control, Vol. 78, 2023
DOI
Cite
Book Chapters
2023
An open-source platform for neural data analysis
Rodriguez M, Kim S, Patel J, et al.
Journal of Neural Engineering, IF: 4.6
DOI
Code
2024
An open-source platform for neural data analysis
Rodriguez M, Kim S, Patel J, et al.
Journal of Neural Engineering, IF: 4.6
DOI
Code
Experience
Professional Experience
Academic journey and research leadership
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.
2012 – 2016
Assistant Professor
Department of Computer Science, Northbridge University
Conducted research in computer vision and representation learning. Developed and taught undergraduate and graduate-level courses. Mentored student research projects and early-career researchers.
2009 – 2012
Research Fellow
Advanced Computing Research Center
Worked on applied AI and data-driven system design. Collaborated with interdisciplinary teams on funded research initiatives. Contributed to journal articles, conference papers, and technical reports.
Students
Research Group
Mentoring the next generation of researchers
Current PhD Students
Ahmed Rahman
PhD Candidate
Research:Â IoT Security and Privacy in Smart Cities
Fatima Khan
PhD Candidate
Research:Â Deep Learning for Biomedical Signal Processing
Mohammad Ali
PhD Candidate
Research:Â Wireless Communication Systems
Current MS Students
Sarah Islam
MS Student
Research:Â Machine Learning for Pattern Recognition
David Chen
MS Student
Research:Â Embedded Systems Design
Priya Sharma
MS Student
Research:Â Data Analytics for Smart Grids
Alumni
Dr. Nazmul Hassan
PhD 2022
Current Position:Â Assistant Professor, University of Dhaka
Dr. Ayesha Siddiqui
PhD 2021
Current Position:Â Research Scientist, IBM Research
Contact
Contact Information
kim@swarthmore.edu
Phone
+1 (555) 123-4567
Office
Computer Science Building, Room 405
University of Technology
Office Hours
Monday & Wednesday: 2:00 PM - 4:00 PM
Friday: 10:00 AM - 12:00 PM
© 2026 Dr. Arif Hasan Rahman. All rights reserved.