J. Dinesh Peter is currently working as Associate Professor, Department of Computer Science and Engineering at Karunya Institute of Technology & Sciences, Coimbatore. Prior to this, he was a full time research scholar at National Institute of Technology, Calicut, India, from where he received his PhD in computer science and engineering. His research focus includes Big-data, image processing and computer vision. He has several publications in various reputed international journals and conference papers which are widely referred to. He is a member of IEEE, MICCAI, Computer Society of India and Institution of Engineers India and has served as session chairs and delivered plenary speeches for various international conferences and workshops. He has conducted many international conferences and been as editor for Springer proceedings and many special issues in journals. Steven Lawrence Fernandes is currently working as a postdoctoral researcher in the area of deep learning under the guidance of Professor Sumit Kumar Jha at The University of Central Florida, USA. He also has postdoctoral research experience working at The University of Alabama at Birmingham, USA. He has his Ph.D. in Computer Vision and Machine Learning from Karunya Institute of Technology & Sciences, Coimbatore, Tamil Nadu. His Ph.D work "Match Composite Sketch with Drone Images" has received patent notification (Patent Application Number: 2983/CHE/2015) from Government of India, Controller General of Patents, Designs & Trade Marks. He has received the prestigious US award from Society for Design and Process Science for his outstanding service contributions in the year 2017 and Young Scientist Award by Vision Group on Science and Technology, Government of Karnataka, India in the year 2014. He also received Research Grant from University of Houston Downtown, USA and The Institution of Engineers (India), Kolkata. He has collaborated with various Scientists, Professors, Researchers and jointly published more than 50 Research Articles which are in Science Citation Indexed (SCI) Journals. Carlos E. Thomaz holds a degree in Electronic Engineering from the Pontifical Catholic University of Rio de Janeiro (1993), a Master's degree in Electrical Engineering from the Pontifical Catholic University of Rio de Janeiro (1999), a PhD and a postdoctoral degree in Computer Science - Imperial College London (2005). He is a full professor at FEI's University Center. He has experience in the area of Computer Science, with emphasis on Pattern Recognition in Statistics, working mainly in the following subjects: Computational Vision, Computation in Medical Images and Biometrics.
