After obtaining the Ph.D. in Electronic Engineering from University of Surrey in 2011, Varuna worked as a work package leader of a Large Scale Integrated Project "ROMEO" funded by the European Commission. During the time he was with University of Surrey, both as a Ph.D. student and as a research fellow, he developed a highly significant publication record in the area of image and video processing, which includes 12 highly cited IEEE Transactions, and an IEEE consumer electronic society award. To pursue a career in the industry, in November 2013, he joined Apical Ltd, where he worked as a new algorithms developer for imaging and display systems to be run on efficient hardware platforms. The algorithms he developed were realized in nearly 500 million devices around the globe, and a patented technology for CMOS cameras, for which he is the lead inventor which appeared in nearly 90% of CCTV cameras in the world. Since May 2016, he assumed duties as a lecturer in digital engineering at Loughborough University, where he was promoted to a Senior Lecturer in Jan 2020. He is the module leader for Principles of Data Science, Bayesian Methods in Deep Learning, Statistical methods in Finance, and Gaming Technologies and Simulation. He is the recipient of two EPSRC grants in the area of next generation machine intelligence, and complementary industrial funding. He currently has active industrial collaborations with Royal Mail, Chelsea Football Club, Dallas Mavericks (USA/NBA) and NewsUK, and academic research collaborations with Massachusetts Institute of Technology (MIT). He currently leads the Machine Intelligence Lab at Loughborough University, and is the principle supervisor of one Post-doctoral research fellow and 6 Ph.D. students, and the co-supervisor of 1 PhD student. His team works on Engineering application of Artificial Intelligence, specifically Multi-Agent Reinforcement learning, multimodal computer vision, and simulation models, with a Vision to scale state-of-the-art AI algorithms to real world Engineering systems. He is an Associate Editor of IEEE Access, Fellow of the Higher Education Academy in the UK, and a Member of BCS and IET.Specialties: Image processing, Multimodal Machine Learning, Data-driven policy learning (imitation learning), Video Coding, Research supervision, Project Management, Reporting and publications, Research, Hardware friendly algorithm development, C programming, MATLAB, Deep learning on Python