Publications

Conference Papers: 

For upto date list visit (Google Scholar Link)

1. Ullah, I., Hassan, U. U., & Ali, M. I. (2023). Multi-level Federated Learning for Industry 4.0-A Crowdsourcing Approach. Procedia Computer Science, 217, 423-435.

2. Nasri, S. A. E. M., Ullah, I., & Madden, M. G. (2023). Compression scenarios for Federated Learning in Smart Manufacturing. Procedia Computer Science, 217, 436-445.

3. I. Ullah, S. Reilly, Michael G. Madden, "Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons" in International Conference on Pattern Recognition, 10-15 January, 2021, Milan, Italy  (Link or PDF)

4. R. Hassan, M. A. Rahman, I. Ullah, A. Hamdan Alenezi and T. H. Rassem, "Identifying the Level of Diabetic Retinopathy Using Deep Convolutional Neural Network," 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE), Bangladesh, 2020, pp. 1-6. (Link)

5. I Ullah, C Lane, T S Buda, B. Drury, M Mellott, H Assem, M G. Madden, "Classification of Cybercrime Indicators in Open Social Data" in 7th International Conference on Information Management and Big Data (SIMBig) track on Social Network and Media Analysis and Mining, 1-3 October, 2020, Lima, Peru (Link)

6. Ullah and A. Petrosino, "A spatiotemporal feature learning approach for Dynamic Scene Recognition", Accepted in 7th International Conference on Pattern Recognition and Machine Intelligence (PReMI'17), 5-8 December, 2017, Kolkata, India

7. I. Ullah, and A. Petrosino, “Spatiotemporal Features Learning with 3DPyranet”, in Proc. Of Advance Concepts for intelligent vision Systems (ACIVS), 24-27 Oct, 2016, Lecce, Italy (PDF)

8. I. Ullah, and A. Petrosino, “About Pyramid Structure in Convolutional Neural Networks”, in IEEE International Joint Conference on Neural Network (IJCNN), 24-29 July 2016 , Vancouver, Canada (PDF)

9. E. Qazi, M. Hussain, H. Aboalsamh, W. Abdul, S. Bamatraf, I. Ullah, “An Intelligent System to Classify Epileptic and NonEpileptic EEG Signals”, in Proc. SITIS, 2016 (PDF)

10. I. Ullah, and A. Petrosino, “A Strict Pyramidal Deep Neural Network for Action Recognition”, in Proc. of 18th International Conference Image Analysis and Processing, Genoa, Italy, September 7-11, 2015 (PDF)

11. I. Ullah, M. Hussain, G. Muhammad, H. A.Aboalsamh, A. M. Mirza, and G. Bebis, “Gender Recognition from Face Images with Dyadic Wavelet Transform and Local Binary Pattern”, in ISVC 2012, Part II, LNCS 7432, pp. 409–419, 2012. © SpringerVerlag Berlin Heidelberg 2012 (PDF)

12. I. Ullah, M. Hussain, G. Muhammad, H. A.Aboalsamh, G. Bebis and A. M. Mirza, “Gender Recognition From Face Images With Spatial WLD Descriptor”, In 19th IEEE International Conference on Systems, Signals and Image Processing, (IWSSIP 12), April 13-15, 2012 (PDF)

13. I. Ullah, N. Khan, and H. A.Aboalsamh, “Survey on Botnet: Its Architecture, Detection, Prevention, and Mitigation”, In Proc. IEEE Intl. Conference on Networking, Sensing and Control (ICNSC), April, 2013 (PDF)

14. I. Ullah, A. E-Zaart, and H. A.Aboalsamh “Fast Moment Preservation for Image Thresholding Method Using a Mixture of Gamma Distributions”, WORLDCOMP”11, Las Vegas, Nevada, USA, pp: 582-587, July 18-21, 2011 (PDF)

15. M. Mahmud, A. A. Mirza, I. Ullah, N. Khan, H. B. Abdullah, and M. Y. B. Idris, “Enhance Technique for Secure Sensor Routing with Energy Conservation”, T.-h. Kim et al. (Eds.): FGIT 2010, LNCS 6485, pp. 376–382, © Springer-Verlag Berlin Heidelberg 2010 

16. B. Shahzad, I. Ullah, N. Khan, "Software Risk Identification and Mitigation in Incremental Model", International Conference on Information and Multimedia Technology, Jeju Island, South Korea 16-18 December, 2009 

ISI Journal Papers:

1. M. Hussain, E. -U. -H. Qazi, H. A. AboAlSamh and I. Ullah, "Emotion Recognition System Based on Two-Level Ensemble of Deep-Convolutional Neural Network Models," in IEEE Access, vol. 11, pp. 16875-16895, 2023, doi: 10.1109/ACCESS.2023.3245830.

2. S. Javed, A. Mahmood, I. Ullah, T. Bouwmans, M. Khonji, J.M.M. Dias, and N. Wergh, "A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking". IEEE Access, 10, pp.24690-24703, 2022 (PDF) (IF: 3.4)

3. B. Drury, S.M. Drury, M.A. Rahman, & I. Ullah,  "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, 100211,  2022 (PDF) 

4. I. Ullah, Andre Rios, Vaibhav Gala, Susan Mckeever, "Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagations", in Special Issue on Explainable AI, Applied Sciences, Dec, 2021  (PDF) (IF: 2.7)

5. I. Ullah, Mario Manzo, Mitul Shah, and Michael Madden, "Graph Convolutional Networks: analysis, improvements and results", in Applied Intelligence Journal, available on springer or arxiv.org/abs/1912.09592, August, 2021  (PDF) (IF: 5.086)

6. Bahram Lavi, Mehdi Fatan Serj, I Ullah, "Survey on Deep Learning Techniques for Person Re-Identification Task", in Arxiv 2019, (Pdf)

7.  I. Ullah, M. Hussain, E. Qazi, and H. Aboalsamh, "An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach", in Expert Systems with Applications, 2018. (PDF) (IF: 5.452)

8. Z. Ali, M. S. Hossain, G. Muhammad, I. Ullah, H. Abachi, & A. Alamri. "Edge-centric multimodal authentication system using encrypted biometric templates", in Future Generation Computer Systems, 2018 (PDF)  (IF: 6.125)

9. I. Ullah, H. Aboalsamh, M. Hussain, G. Muhammad, and G. Bebis, “Gender Recognition From Facial Images using Texture Descriptors” in Journal of Internet Technology, Vol.15, No.5, pp: 801-811, 2014. (IF: 0.786)

10. M. Hussain, I. Ullah, Ghulam Muhammad, H A. Aboalsamh, G. Bebis and A. M. Mirza, “Gender Recognition from Face Images with Dyadic Wavelet Transform and Local Binary Pattern”, in International Journal on Artificial Intelligence Tools, Vol. 22, Issue. 6, pp: 1360018-1 - 1360018-18, Dec 2013. (IF: 0.778)

11. I. Ullah, M. Hussain, H. A.Aboalsamh, and A. E. Zaart, “Novel Technique for Mammogram Image Segmentation using Moment Preserving”, in An International Interdisciplinary Journal Published by International Information Institute, pp.3155-3164, Vol.16 No.5, May 2013. (IF: 0.122)

Workshop Paper

1. Andy Donald, Apostolos Galanopoulos, Edward Curry, Emir Muñoz, Ihsan Ullah, M. A. Waskow, Maciej Dabrowski, and Manan Kalra. 2023. Towards a Semantic Approach for Linked Dataspace, Model and Data Cards. In Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion). Association for Computing Machinery, New York, NY, USA, 1468–1473.

2. Suruchi Gupta , Ihsan Ullah , Michael G. Madden, "Coyote: A Dataset of Challenging Scenarios in Visual Perception for Autonomous Vehicles",  in IJCAI 2021 workshop on Robust and Reliable Autonomy in the Wild (R2AW) and AISafety 2021 (Link or Link) (presentation video Link)

3. E.D. Nardo, A. Petrosino, and I. Ullah, "Emo3PD: A Brain like Pyramidal Deep Neural Network for Emotion Recognition", in ECCV 2018 Workshop on Brain Driven Computer Vision, Munich, Germany

4. Brett Drury, Ihsan Ullah, Michael G. Madden, "An Information Retrieval System for CBRNe Incidents", in ECML PKDD International Workshop on Artificial Intelligence in Security,  2018

5. I. Ullah, C. Lane, B. Drury, M. Mellotte, and M.G. Madden, "Open Social Data Crime Analytics", In Proc of An IJCAI First International Workshop on A.I. in Security, Merlbourne, Australia, 20th August, 2017  (PDF)

Demos

1) S. Mckeever, I. Ullah, A. Rios, "XPlainIT – A demonstrator for explaining deep learning models trained over structured data", in Demo Session of Machine Learning and Multimedia, at 25th International Conference on Pattern Recognition (ICPR), 14 January 2021, Italy

2) I. Ullah, S. Abinesh, D. L. Smyth, N. B. Karimi, B. Drury, F. G. Glavin, and M. G. Madden, "A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support", in IWAISe, 2nd International Workshop on A.I. in Security, at European Conference on Machine Learning (ECML) 2018  (PDF) 

3) D. L. Smyth, J Fennell, S. Abinesh, N. B. Karimi, F. G. Glavin, I. Ullah, B. Drury, M. G. Madden, “A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation”,  In Demo track of The 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018 (PDF) (Video)

Book Chapters

1. S. Iodice, A. Petrosino, and I. Ullah, “Strict Pyramidal Deep Architecture for Person Re-Identification”, In book: Advances in Neural Networks, pp.179-186, April 2016 

GoogleScholar

https://scholar.google.com/citations?user=v6N_RLkAAAAJ&hl=en&oi=ao