Computational Intelligence and Data Analytics

Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 750 publications and published seven textbooks which are more popular internationally. Dr. Buyya is one of the highly cited authors in computer science and software engineering worldwide. "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most Productive (#1) Author in Cloud Computing. He served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Editor-in-Chief of Software: Practice and Experience, a long-standing journal in the field established nearly 50 years ago. Susana Muñoz Hernández obtained Ph.D. in Computer Science from the Technical University of Madrid (UPM), Master in Management of Information Technologies from the Ramón Llull University of Barcelona, and a graduate in International Affairs from the Society of International Studies of Madrid. She won the first prize in a national competition for talented young people organized by the University of La Salle of Madrid in 2003. She has professional experience in some companies (ICT and bank sector) and join research (national and European) projects of recognized prestige in Computational Logic and Artificial Intelligence. She has been working as an Associate Professor at the Computer Science School of the Technical University of Madrid since 1998. She develops her research activity in the BABEL group with more than eighty publications. She received the UPM prize of research in international cooperation for development in 2011. She has been part of the organizing committees of more than 15international conferences.Dr. K. Ram Mohan Rao received Ph.D in Computer Science and Engineering from Jawaharlal Nehru Technology University (JNTU) in the year 2014 with a Research specialization in Grid Computing. He has more than 25 years of teaching experience in various cadres and currently, he is the Professor and Head of the Information Technology Department, Vasavi College of Engineering, Telangana, Hyderabad, INDIA. He received many prestigious awards from reputed organizations. Dr. Ram Mohan Rao has published and Presented more than 25 research articles in National and International Journals and Conferences. He obtained a grant of Rs 19.31 Lakhs from AICTE under MODROBS and established Deep Learning Lab. As a part of their Research work, he established a Grid Environment using Globus ToolKit (open source software toolkit used for building Grid systems). Further, he also Established Cloud Lab, VCE using Aneka Platform (US Patented) of Manjrasoft Pvt Ltd. His research areas include Distributed Systems Cloud Computing and Data Science.Dr. T. Hitendra Sarma received Ph.D. in Machine Learning from JNT University Anantapur, India, in Dec’ 2013.  He has more than 14 years of teaching and research experience. Served at different reputed institutes in various capacities. Currently, Dr. Sarma is working as Associate Professor at Vasavi College of Engineering, Hyderabad. Dr. Sarma has published more than 30 research articles in various peer-reviewed International Journals and Conferences by Springer, Elsevier, and IEEE. His research interests include Machine Learning, Hyperspectral Image Processing, Artificial Neural Networks, Data Mining, Data Science, etc. Dr. Sarma holds a project funded by SERB, INDIA. Dr. Sarma is an active researcher. He presented his research articles at reputed conferences like IEEE WCCI (2016 Vancouver, Canada), IEEE CEC (2018, Rio de Janeiro, Brazil), and IEEE ICECIE (2019 Malaysia). He delivered an Invited Talk at the Third International Conference on Data Mining (ICDM) 2017 in Hualien, Taiwan.

• Text Summarization Approaches under Transfer Learning and Domain Adaptation Settings – A Survey.- An Effective Eye-Blink Based Cyber Secure PIN Password Authentication System.- A Comparison of Algorithms for Bayesian Network Learning for Triple Word Form Theory.- Application of Machine Learning Algorithm in Identification of Anaemia Diseases.- Detection of Fruits Image Applying Decision Tree Classifier Techniques.