Intelligent Data Engineering and Analytics / Smart Innovation, Systems and Technologies Bd.371 (PDF)

also passionate about exploring new multidisciplinary approaches to engage more girls in STEM. As an accomplished academic, she has numerous peer-reviewed publications and has partaken in cutting-edge research projects both at national and international levels.

João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal, in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001 and attained his Habilitation in Mechanical Engineering in 2015. He is Senior Researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Full Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP). He is Co-editor of more than 75 books, Co-author of more than 50 chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents.. His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human-computer interaction, and new product development.

Sandeep Singh Sengar is Lecturer in Computer Science at Cardiff Metropolitan University, UK. Before joining this position, he worked as Postdoctoral Research Fellow at the Machine Learning Section of Computer Science Department, University of Copenhagen, Denmark. He holds a Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, and an M. Tech. degree in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India. His current research interests include medical image segmentation, motion segmentation, visual object tracking, object recognition, and video compression. His broader research interests include machine/deep learning, computer vision, image/video processing, and its applications. He has published several research articles in reputed international journals and conferences in the field of computer vision and image processing. He is Reviewer of several reputed international transactions, journals, and conferences including IEEE Transactions on Systems, Man and Cybernetics: Systems, Pattern Recognition, Neural Computing and Applications, Neurocomputing.

Peter Peer is Full Professor of computer science at the University of Ljubljana, Slovenia, where he heads the Computer Vision Laboratory, coordinates the double degree study program with the Kyungpook National University, South Korea, and serves as Vice-dean for economic affairs. He received his doctoral degree in computer science from the University of Ljubljana in 2003. Within his postdoctorate, he was Invited Researcher at CEIT, San Sebastian, Spain. His research interests focus on biometrics and computer vision. He participated in several national and EU funded R&D projects and published more than 100 research papers in leading international peer-reviewed journals and conferences. He is Co-organizer of the Unconstrained Ear Recognition Challenge and Sclera Segmentation Benchmarking Competition. He serves as Associated Editor of IEEE Access and IET Biometrics. He is Member of the EAB, IAPR, and IEEE.