Graduated Ph.D. Students

Muhammad Ali Farooq

Project: Advanced Thermal Imaging Algorithms

Faisal Khan

Project: Facial Depth Models Generation (Synthetic data) and Monocular Depth Estimation Methods

Viktor Varkarakis

Rory Coyne's Drowsiness Page

TBD

Publications & Presentations

Coyne R, Ryan L, Moustafa M, Smeaton AF, Corcoran P, Walsh JC. Assessing the physiological effect of non-driving-related task performance and task modality in conditionally automated driving systems: A systematic review and meta-analysis. Accident Analysis & Prevention. 2023 Nov 1;192:107243.

Coyne R, Ryan L, Moustafa M, Smeaton AF, Corcoran P, Walsh JC. Assessing the physiological effect of non-driving-related task performance in conditionally automated driving systems: A systematic review and meta-analysis protocol. Digital health. 2023 May;9:20552076231174782.

Rory Ward's Page

Project - Colourisation Using Artificial Intelligence

This research focuses on improving the quality of media restored through the use of Artificial Intelligence (AI) tools. Some Examples include Image Colourisation, Video Colourisation, Image Super-Resolution, Video Super-Resolution and Video Frames Per Second Boosting

Manually restoring old and damaged content is a slow and difficult task requiring years of experience. This project intends to make this prosses easier and more accessible. Some of the main issues that currently exist in this area are flicker, poor quality resolution, and low frames per second.

GrayScale Colourised

Small B_and_W Photo ‌‌ Small Colourised Photo

Publications

Ward R, Khan MJ, Breslin JG, Curry E. Knowledge-guided colorization: Overview, prospects and challenges. In17th International Workshop on Neural-Symbolic Learning and Reasoning 2023.

Ward R, Breslin J. Towards Temporal Stability in Automatic Video Colourisation. In24th Irish Machine Vision and Image Processing Conference 2022 Aug.

Biography & Research Interests

Waseem Shariff is originally from Bengaluru, India and he received his Bachelors degree in ‘Computer Science and Engineering’ from the Nagarjuna College of Engineering and Technology (Bengaluru, India), in 2019. Further he completed his Masters degree in ‘Computer Science specializing in Artificial Intelligence’ from the National University of Ireland Galway (NUIG, Ireland), in 2020. His thesis work included working on “Synthetic Face ID” and related computer vision technologies.

Waseem is currently working as a Research Assistant on HELIAUS Project (thermal vision augmented awareness). His research interests include machine learning utilizing deep neural networks for computer vision applications, such as working with visible, synthetic, thermal, depth data and biosensors.

Research Activities

Waseem is working on Heliaus project funded by the EU programme ECSEL. He is focused on development of smart thermal perception systems. He contributed on building a novel C3I large-scale thermal automotive dataset, comprising of > 35,000 distinct frames. He also works on developing pipeline that uses YOLO-v5 trained on thermal data to detect roadside objects. Further to optimize the trained networks to deploy on GPU and edge platforms for on board computer testing.
Waseem is also a data acquisition expert who is involved in gathering data for Driver Monitoring System (DMS) with multimodal camera sensors and biosensors.
Waseem is currently researching on using multi-modal camera sensors to estimate facial depth.

Journal Publications

M. A. Farooq, P. Corcoran, C. Rotariu and W. Shariff, "Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)," in IEEE Access, vol. 9, pp. 156465-156481, 2021, doi: 10.1109/ACCESS.2021.3129150.

M. A. Farooq, W. Shariff, and P. Corcoran, “Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems,” arXiv Prepr. arXiv2201.01661, pp. 1–14, 2022.

Faisal Khan, Muhammad Ali Farooq, Waseem Shariff, Shubhajit Basak, And Peter Corcoran, Towards Monocular Neural Facial Depth Estimation: Past, Present, and Future, in IEEE Access.

Muhammad Ali Farooq, Waseem Shariff, Faisal Khan, And Peter Corcoran, Towards Monocular Neural Facial Depth Estimation: Past, Present, and Future, in IEEE Access.

Conference Participation & Presentations

Program committee member and reviewer at ACM, MMSys Conference 2022, Athlone, Ireland.

Biography & Research Interest

Mehdi Sefidgar Dilmaghani is second year PhD student working in the field of computer vision. Mehdi started his work on signals since his Master’s studies when his main focus was on signal and image processing. Mehdi has studied both of his BSc and MSc in Iranian universities in the field of Electronics Engineering and because of the emphasize on mathematical courses in Iranian universities for engineering students he got skills in circuit design and math at the same time. To be able to combine both of these skills he chose electronic implementation of signal processing algorithms as his main field of interest. His BSc project was a simple voice detector and his MSc thesis was based on second generation of wavelets.

Research Activities

My main focus is Smart Augmentation and GAN based methods. These methods and their outputs are of great importance for two main reasons:
They tackle the problem of data shortage in data thirsty networks.
Since these data are fake, GDPR and other limiting issues can not prevent their usage in different applications.
I started with writing two different networks in PyTorch (one classifier and one autoencoder), then I was trying to make those two networks to work in pipeline mode together and there were some challenges in that phase, however it was a very important step because I will have to do the same job after I finished the smart augmentation and switched to the GANs. Currently my main focus is to optimize this hybrid networks and get better results compared to the previous work done in our group. In the next level I will start my works with GANs, and the experience of this level will be helpful in the whole process.

Journal Publications

Shariff W, Dilmaghani MS, Kielty P, Lemley J, Farooq MA, Khan F, Corcoran P. Neuromorphic Driver Monitoring Systems: A Computationally Efficient Proof-of-Concept for Driver Distraction Detection. IEEE Open Journal of Vehicular Technology. 2023 Oct 18.

Kielty P, Dilmaghani MS, Shariff W, Ryan C, Lemley J, Corcoran P. Neuromorphic Driver Monitoring Systems: A Proof-of-Concept for Yawn Detection and Seatbelt State Detection using an Event Camera. IEEE Access. 2023 Sep 5.

S. Azizian, V. A. Aghchegala, S. Azizian, M. S. Dilmaghani. CMOS Bulk-Controlled Fully Programmable Neuron for Artificial Neural Networks, IETE Journal of Research (2018), https://doi.org/10.1080/03772063.2018.1431570

S. Azizian, V.Aziz Aghchegala, M. S. Dilmaghani, E. Mahoor, "CMOS Low-Power, FullyProgrammable Gaussian/Trapezoidal Fuzzy Membership Function Generator", Submitted in Transactions on Design Automation of Electronic Systems

Regular Conference Publications

Waseem Shariff, Mehdi SefidgarDilmaghani, Paul Kielty, & Peter Corcoran. (2023, September 2). Sensing Without Seeing - Event Camera Privacy. Irish Machine Vision and Image Processing Conference 2023 (IMVIP2023), University of Galway, Ireland. Zenodo. https://doi.org/10.5281/zenodo.8310913

Paul Kielty, Cian Ryan, Mehdi SefidgarDilmaghani, Waseem Shariff, Joe Lemley, & Peter Corcoran. (2023, August 8). Neuromorphic Seatbelt State Detection for In-Cabin Monitoring with Event Cameras. Irish Machine Vision and Image Processing Conference 2023 (IMVIP2023), University of Galway, Ireland. https://doi.org/10.5281/zenodo.8223905

Muhammad Ali Farooq, Waseem Shariff, Mehdi SefidgarDilmaghani, Wang Yao, Moazam Soomro, & Peter Corcoran. (2023, July 18). Decisive Data using Multi-Modality Optical Sensors for Advanced Vehicular Systems. Irish Machine Vision and Image Processing Conference 2023 (IMVIP2023), University of Galway, Ireland. https://doi.org/10.5281/zenodo.8160053

Dilmaghani MS, Shariff W, Ryan C, Lemley J, Corcoran P. Control and evaluation of event cameras output sharpness via bias.InFifteenth International Conference on Machine Vision (ICMV 2022) 2023 Jun 7 (Vol. 12701, pp. 455-462). SPIE.

Kielty P, Dilmaghani MS, Ryan C, Lemley J, Corcoran P. Neuromorphic sensing for yawn detection in driver drowsiness.InFifteenth International Conference on Machine Vision (ICMV 2022) 2023 Jun 7 (Vol. 12701, pp. 287-294). SPIE.

B.Moradkhani, M. S.Dilmaghani, A. B. Rezaei. ANewApproachtoOptimizetheDeffuzification Unit of Fuzzy Systems, 27th Iranian Conference on Electrical engineering (ICEE2019), Yazd, Iran, DOI: 10.1109/IranianCEE.2019.8786479

B.Moradkhani,A.B. Rezaei, M. S.Dilmaghani. MergingDACAndFuzzifierStructures Asa New Approach in Membership Function Generators, 26th Iranian Conference on Electrical engineering (ICEE2018), Mashhad, Iran, DOI: 10.1109/ICEE.2018.8472409

M. S. Dilmaghani, D. Asemani. Correction of TimingSkew Error in TI-ADC’s Using Second Generation Wavelets, 25th Iranian Conference on Electrical engineering (ICEE2017), Tehran, Iran, DOI: 10.1109/IranianCEE.2017.7985493

M. S.Dilmaghani,S.Daneshvar,M. Dousty. AnewMRI andPETimagefusionalgorithmbased on BEMD and IHS methods, 25th Iranian Conference on Electrical engineering (ICEE2017), Tehran, Iran, DOI: 10.1109/IranianCEE.2017.7985242