Dr. Sanjaya Kumar Panda is working as an Assistant Professor in the Department of CSE at NIT Warangal, Telangana, India. He worked as an Assistant Professor and Head of the Department, CSE at IIITDM Kurnool, Andhra Pradesh, India and also worked as an Assistant Professor in the Department of IT at VSSUT, Burla, Odisha, India. He received Ph. D. degree from IIT (ISM) Dhanbad, Jharkhand, India, M. Tech. degree from NIT, Rourkela, Odisha, India and B. Tech. degree from VSSUT, Burla, Odisha, India in CSE. He received 19+ awards from IEEE, IE (I), ISTE, CSI and others, which includes two silver medal awards for the best graduate and best post-graduate in CSE, IEEE senior member and ACM distinguished speaker. He has published 100+ papers in reputed journals and conferences. He is a member of IEEE, IE(I), Life member of ISTE and Life member of CSI. His current research interests include cloud and fog computing, artificial intelligence and machine learning and Internet of things. He delivered 80+ invited talks, and chaired sessions in many national and international conferences. He acted as reviewers in many reputed journals of IEEE, ACM, Elsevier, Springer and Hindawi, and many reputed conferences. He also served as guest editor in many international journals.

Abstract
Public cloud computing has grown exponentially in the business and research community. It provides scalable services to external customers over the Internet. Many organizations are moving to the cloud for obtaining reasonable solutions to their problems in the cloud. It makes the shifting of technology from cloud-first to cloud-only. The main trends impacting cloud adoption are cost optimization, multi-cloud, cloud infrastructure as a service (IaaS) skills and distributed cloud, as stated by Gartner Inc. In this tutorial, the recent research problems in cloud computing will be discussed with their possible solutions. These problems include resource allocation, task scheduling, energy-efficient cloud computing, renewable energy-based cloud computing, vehicular cloud computing, security and privacy, and many more. Moreover, some advanced technologies in cloud computing, namely DevOps, docker and container, will be discussed and integration of cloud computing with artificial intelligence, machine learning, Internet of things, virtual reality, augmented reality and blockchain will also be highlighted.

Asis Kumar Tripathy (Senior Member, IEEE) received the Ph.D. degree from the National Institute of Technology, Rourkela, India, in 2016. He is currently an Associate Professor with the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. He has more than ten years of teaching experience. He has several publications in refereed journals, reputed conferences, and book chapters to his credit. His current research interests include wireless sensor networks, cloud computing, the Internet of Things, machine learning, deep learning, and advanced network technologies. He has served as a program committee member for several conferences of repute. He has also been involved in many professional and editorial activities.

Abstract
The significance of securing correspondences on the Internet of Things (IoT) cannot be overstated. This is particularly the situation in light of the expanding proliferation of IoT devices and instances, as well as the growing reliance on their usage. Meanwhile, there have recently been mounting worries over a wide array of vulnerabilities in IoT communications. The advent of the Internet of Things (IoT) crowded the internet like never before. The objective of this talk is to address security limitations in IoT devices that are “resource-constrained. Ever-increasing connectivity brought many network vulnerabilities and caused many Cyber-attacks. In this tutorial, the recent security research problems in IoT communication will be discussed with their possible solutions. The listeners of this talk could start research in “IoT simulation in IBM Cloud”.

Dr. Deepak Ranjan Nayak is an Assistant Professor at Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India. Prior to this position, he was an Assistant Professor at the Department of Computer Engineering, S. V. National Institute of Technology, Surat, India. He worked as a Post-Doctoral Fellow at Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai. He received his Ph.D. degree in Computer Science and Engineering from National Institute of Technology Rourkela, India. He has published over forty articles in peer-reviewed journals and conferences of international repute. His current research interests include medical image analysis and classification, machine learning, deep learning, pattern recognition, and computer vision. His publications have around 700 citations, h index of 13, and i10 index of 17 (Google Scholar). One of his papers was included in “ESI Highly Cited Papers”. He has received International Travel Support from Department of Science & Technology (DST), Govt. of India in 2017. He has also received the Outstanding Reviewer Award by Computers and Electrical Engineering Journal, Elsevier for the year 2017. He serves as a reviewer of more than 40 peer-reviewed journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Journal of Biomedical and Health Informatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Scientific Reports, IET Image Processing, IET Computer Vision, Computer Vision and Image Understanding, Pattern Recognition Letters, Computer Methods and Programs in Biomedicine, Biomedical Signal Processing and Control, etc. He has also served as Technical Program Co-chair and Committee Member of several conferences of international repute. He is a member of IEEE. He serves as an Editorial Board member of International Journal of Imaging Systems and Technology, Wiley and a Guest Editor of Mathematical Biosciences and Engineering journal.

Abstract
Artificial intelligence (AI) is a disruptive technology that involves the use of computerized algorithms to dissect complicated data. With the advancement in medical imaging, the amount of data generated are increasing rapidly. For example, data can be generated by multimodality image techniques, e.g., ranging from Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), and Positron Emission Tomography (PET), to Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, etc. These imaging techniques have turned into an imperative tool for early detection and treatment of disease. The use of artificial intelligence (AI) in diagnostic medical imaging is undergoing extensive evaluation. The powerful AI technologies specifically deep learning algorithms have shown impressive accuracy and sensitivity in the identification of several diseases including brain tumor detection, skin cancer detection, COVID-19 infection detection, etc. The focus of this talk will be on medical image analysis using cutting-edge AI technologies for early detection of diseases, mainly brain and infectious disease. It will include segmentation and classification with an intention to provide improved diagnosis, prognosis, and treatment.

Dr. Santosh Kumar Sahu is working as a programming officer in Oil and Natural Gas Corporation (ONGC) Limited, India. He is currently working in Geodata Processing and interpretation center (GEOPIC), a premium R&D institute of ONGC at Dehradun, Uttarakhand. He has five-year experience in research on Oil and Gas Industry and three experience in teaching. He has published many papers in reputed international and national journals and conferences. His research interests include Cyber Security, Data Mining, Reverse Engineering, and Digital Forensic.

Abstract
In this session, we will discuss reverse engineering techniques used to extract the knowledge or the design methodology of an executable code. It is often used in information gathering purposes viz missing knowledge, bugs, ideas, and design philosophy of a particular application. Reverse engineering is used to understand the mind of the developer, analysis, and change as per the requirements virtually using CPU and Human Mind. It is used by a variety of different people for diverse purposes. We will discuss several tools used in this process, practical demonstration of several reverse engineering examples related to information security. The objective of this session is to understand the reverse engineering principles applied to compromise the software and study the cracker's mind to protect our application during development.