Rate My Professor Kurt Debattista

His research interests encompass computer graphics, parallel computing, high dynamic range imaging, high-fidelity rendering, applied artificial intelligence, creative technologies, vision applications, and applied perception. With over 5,800 citations on Google Scholar, Debattista has made significant contributions to these fields. Key publications include 'Deep HDR Hallucination for Inverse Tone Mapping' (2021), co-authored with Dimitrios Marnerides and Thomas Bashford-Rogers; 'A review on chemometric techniques with infrared, Raman spectroscopy and hyperspectral imaging for plastic waste sorting' (2022); 'Addressing inconsistent labeling in cross-image medical image segmentation' (2025); and 'Empirical evaluation of the effectiveness of attack graphs' (2018). He has engaged in industry collaborations with Jaguar Land Rover, Arup, and Lear Corporation. Debattista leads postgraduate modules such as Games Engineering (WM9M4-15), Programming and Fundamental Algorithms (WM908-15), and Games Engine Design and Development (WM9M5-15). He also participates in university committees, including as a co-opted member of the Board of Graduate Studies.