Waseem Shariff

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.