Computer Science

Dr IHSAN ULLAH

M.Sc., PhD

Contact Details

Lecturer Above The Bar
IT Building
T: Ext. 2827
E: ihsan.ullah@universityofgalway.ie

Biography

Dr. Ihsan Ullah did his Ph.D. in the University of Milan, specializing in designing lightweight deep neural network architectures with the pyramidal approach. He has more than nine years of research and development experience in applying Deep Learning to a variety of images, video, text, and time-series recognition problems while working with renowned labs in the US (Computational Vision and Geometry Lab at Stanford University), Europe (at CVPR Lab at the University of Naples Parthenope, Italy), and the Middle East (Visual Computing Lab in King Saud University, Saudi Arabia). Before joining the School of Computer Science in NUI Galway, he was a Senior Research Data Scientist in CeADAR Ireland's Centre for Applied AI in University College Dublin where he was the head of the Special Projects group and was actively involved in applying for various national and international fundings e.g., Horizon Europe, SFI, EI. Prior to that, he worked in Data Mining and Machine Learning Group of School of Computer Science in NUI Galway as a Senior Postdoc, Adjunct Lecturer, and Project Manager of the H2020 project 'ROCSAFE'. He also worked as a Postdoc at INSIGHT Research Centre in NUI Galway and Research Engineer in Prosa Srl Italy. Currently, his main areas of research interest are in designing lightweight deep learning models, computer vision and Pattern Recognition, explainable AI, federated learning, and differential privacy.
He was an invited member of the National Standards Authority of Ireland prestigious 'Top Team' on setting the national Standards in AI, and he is a steering committee member of Oblivious.ai.

Research Interests

Modeling light weight Deep Architectures for CNN, Federated Learning, Explainable AI, Action Recognition from Videos using Deep Learning, Object Detection and Tracking, EEG Signal Classification,

Research Projects

	Project	Start Date	End Date
	Intelligent Pavement Condition Rating System for Cycle routes and Greenways (iPSRS)	01-JUN-23	30-NOV-24
	Explainable Artificial Intelligence for Bias Detection from Data to Model predictions	01-MAR-23	31-AUG-24

Contract Researchers

	Researcher Name	Project	Role	Funding Body
	Alan Reidy	Intelligent Pavement Condition Rating System for Cycles and Greenways	Research Assistant	Science Foundation Ireland (SFI)
	Talha Iqbal	Explainable Artificial Intelligence for Bias Detection from Data to Model predictions	Research	Science Foundation Ireland (SFI)

Peer Reviewed Journals

	Year	Publication
	(2023)	'Machine Learning Approaches for Segmentation of Cardiovascular Neurocristopathy Related Images' Iqbal, Talha and Soliman, Osama and Sultan, Sherif and Ullah, Ihsan (2023) 'Machine Learning Approaches for Segmentation of Cardiovascular Neurocristopathy Related Images'. IEEE Access, 11 :118301-118317 [DOI] [Details]
	(2023)	'Emotion Recognition System Based on Two-Level Ensemble of Deep-Convolutional Neural Network Models' Hussain, Muhammad and Qazi, Emad-Ul-Haq and AboAlSamh, Hatim A. and Ullah, Ihsan (2023) 'Emotion Recognition System Based on Two-Level Ensemble of Deep-Convolutional Neural Network Models'. IEEE Access, 11 :16875-16895 [DOI] [Details]
	(2023)	'Bias Detection for Customer Interaction Data: A Survey on Datasets, Methods, and Tools' Donald, Andy and Galanopoulos, Apostolos and Curry, Edward and MuÃ±oz, Emir and Ullah, Ihsan and Waskow, M. A. and Dabrowski, Maciej and Kalra, Manan (2023) 'Bias Detection for Customer Interaction Data: A Survey on Datasets, Methods, and Tools'. IEEE Access, 11 :53703-53715 [DOI] [Details]
	(2023)	'Deep learning framework for intelligent pavement condition rating: A direct classification approach for regional and local roads' Waqar S. Qureshi and David Power and Ihsan Ullah and Brian Mulry and Kieran Feighan and Susan McKeever and Dympna O'Sullivan (2023) 'Deep learning framework for intelligent pavement condition rating: A direct classification approach for regional and local roads'. Automation in Construction, 153 [DOI] [Details]
	(2023)	'Compression scenarios for Federated Learning in Smart Manufacturing' Seif Allah EL Mesloul Nasri and Ihsan Ullah and Michael G Madden (2023) 'Compression scenarios for Federated Learning in Smart Manufacturing'. Procedia Computer Science, 217 :436-445 [DOI] [Details]
	(2023)	'Multi-level Federated Learning for Industry 4.0 - A Crowdsourcing Approach' Ihsan Ullah and Umair Ul Hassan and Muhammad Intizar Ali (2023) 'Multi-level Federated Learning for Industry 4.0 - A Crowdsourcing Approach'. Procedia Computer Science, 217 :423-435 [DOI] [Details]
	(2022)	'A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking' Javed, Sajid and Mahmood, Arif and Ullah, Ihsan and Bouwmans, Thierry and Khonji, Majid and Dias, Jorge Manuel Miranda and Werghi, Naoufel (2022) 'A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking'. IEEE Access, 10 :24690-24703 [DOI] [Details]
	(2022)	'A social network of crime: A review of the use of social networks for crime and the detection of crime' Brett Drury and Samuel Morais Drury and Md Arafatur Rahman and Ihsan Ullah (2022) 'A social network of crime: A review of the use of social networks for crime and the detection of crime'. Online Social Networks and Media, 30 [DOI] [Details]
	(2021)	'Explaining Deep Learning Models for Tabular Data Using Layer-Wise Relevance Propagation' Ullah, Ihsan and Rios, Andre and Gala, Vaibhav and Mckeever, Susan (2021) 'Explaining Deep Learning Models for Tabular Data Using Layer-Wise Relevance Propagation'. Applied Sciences, 12 (1) [Details]
	(2021)	'Graph Convolutional Networks: analysis, improvements and results' Ullah, Ihsan and Manzo, Mario and Shah, Mitul and Madden, Michael G (2021) 'Graph Convolutional Networks: analysis, improvements and results'. Applied Intelligence, :1-12 [Details]
	(2018)	'An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach' Ihsan Ullah, Muhammad Hussain, Emad-ul-Haq Qazi, Hatim Aboalsamh (2018) 'An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach'. Expert Systems With Applications, (04/2018) [DOI] [Details]
	(2018)	'Edge-centric multimodal authentication system using encrypted biometric templates' Zulfiqar Ali, M. Shamim Hossain, Ghulam Muhammad, Ihsan Ullah, Hamid Abachi, Atif Alamri (2018) 'Edge-centric multimodal authentication system using encrypted biometric templates'. Future Generation Computer Systems, 85 (08/2018):76-87 [DOI] [Details]
	(2018)	'A virtual environment with multi-robot navigation, analytics, and decision support for critical incident investigation' Smyth, David L and Fennell, James and Abinesh, Sai and Karimi, Nazli B and Glavin, Frank G and Ullah, Ihsan and Drury, Brett and Madden, Michael G (2018) 'A virtual environment with multi-robot navigation, analytics, and decision support for critical incident investigation'. arXiv preprint arXiv:1806.04497, [Details]

Conference Publications

	Year	Publication
	(2023)	*Companion Proceedings of the ACM Web Conference 2023* Donald, Andy and Galanopoulos, Apostolos and Curry, Edward and Mu\~noz, Emir and Ullah, Ihsan and Waskow, MA and Dabrowski, Maciej and Kalra, Manan (2023) Towards a Semantic Approach for Linked Dataspace, Model and Data Cards Companion Proceedings of the ACM Web Conference 2023 , pp.1468-1473 [Details]
	(2023)	*2023 34th Irish Signals and Systems Conference (ISSC)* Brennan, Aaron and Elrasad, Amr and Ullah, Ihsan (2023) Respiration Rate Detection for In-Cabin Passenger Monitoring 2023 34th Irish Signals and Systems Conference (ISSC) , pp.1-6 [Details]
	(2021)	*2020 25th International Conference on Pattern Recognition (ICPR)* Ullah, Ihsan and Reilly, Sean and Madden, Michael G (2021) Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons 2020 25th International Conference on Pattern Recognition (ICPR) , pp.5451-5458 [Details]
	(2020)	*Annual International Conference on Information Management and Big Data* Ullah, Ihsan and Lane, Caoilfhionn and Buda, Teodora Sandra and Drury, Brett and Mellotte, Marc and Assem, Haytham and Madden, Michael G (2020) Classification of Cybercrime Indicators in Open Social Data Annual International Conference on Information Management and Big Data , pp.317-332 [Details]
	(2018)	*Joint European Conference on Machine Learning and Knowledge Discovery in Databases* Ullah, Ihsan and Abinesh, Sai and Smyth, David L and Karimi, Nazli B and Drury, Brett and Glavin, Frank G and Madden, Michael G (2018) A virtual testbed for critical incident investigation with autonomous remote aerial vehicle surveying, artificial intelligence, and decision support Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pp.216-221 [Details]
	(2018)	*Joint European Conference on Machine Learning and Knowledge Discovery in Databases* Drury, Brett and Ullah, Ihsan and Madden, Michael G (2018) An information retrieval system for cbrne incidents Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pp.211-215 [Details]
	(2018)	*Proceedings of the European Conference on Computer Vision (ECCV) Workshops* Di Nardo, Emanuel and Petrosino, Alfredo and Ullah, Ihsan (2018) EmoP3D: a brain like pyramidal deep neural network for emotion recognition Proceedings of the European Conference on Computer Vision (ECCV) Workshops , pp.0-0 [Details]
	(2017)	*International Workshop on A.I. in Security* Ihsan Ullah, Caoilfhionn Lane, Brett Drury, Marc Mellotte, and Michael G. Madden (2017) Open Social Data Crime Analytics International Workshop on A.I. in Security Australia, , pp.85-87 [ARAN Link] [Details]

Education

	Year	Institution	Qualification	Subject
	2017	University of Milan	PhD	Computer Science
	2023	University of Galway	Postgraduate Certificate in Teaching and Learning in Higher Education	Teaching & Learning

Current Postgraduate Students (Taught)

	Name	Degree	Primary Supervisor
	Muhammad Adeel Hafeez	PhD in Computer Science
	Muhammad Asad	PhD in Computer Science
	Allassan Tchangmena A Nken	PhD in Computer Science
	Ayman Abaid	PhD in Computer Science

Modules Taught

Term/Year	Module Title	Module Code	Subject / Desc
2021-22	Research Topics in AI	CT5135	MSc AI
2022-23	Principles of Machine Learning	CT5165	MSc (AI)
2018-2019	Object-Oriented Programming	CT2106
2021-22	Case Studies in Data Analytics	CT5103	MSC DA