Prof. Suresh Manandhar is an Artificial Engineering Consultant to the Board. He has a B.Tech. in Electrical and Electronic Engineering from Jawaharlal Nehru Technological University (India), M.Sc. in Artificial Intelligence from University of Essex (UK) and PhD in Artificial Intelligence from University of Edinburgh (UK). He is is an AI scientist with over 30 years in the field with interest in machine learning and natural language processing. He headed AI research group at University of York until 2019, where he successfully supervised over 20 doctoral students and published over 120 papers.
He has a wide range of interests in topics related to natural language processing and applications of machine learning. Some of his current research themes are deep learning models for compositional distributional semantics, deep learning for medical image processing, community discovery using content and link analysis, answering complex questions, unsupervised learning of morphology, named entities and semantic relations. He co-chaired the international research competitions in Semantic Evaluations SemEval 2012 and SemEval 2013. He currently serves on the editorial boards of the Journal of Natural Language Engineering and Journal of Applied Intelligence.