Advances in Data Science and Artificial Intelligence

Sky Detection in Outdoor Spaces (S. Rajguru).- Defining, Measuring and Utilizing Student's Learning in a course (T. Garg).- Holistic Features and Deep Guided Depth Induced Mutual Attention based Complex Salient Object Detection (R. Singh).- Machine Learning based Decision Support System for Resilient Supplier Selection (A. Dixit).- An Adaptive Task Offloading Framework for Mobile Edge Computing Environment: Towards Achieving Seamless Energy-Efficient Processing (M. Rasool).- Road Surface Classification and Obstacle Detection for Visually Impaired People (S. Shilaskar).- A Survey on Semantic Segmentation Models for Underwater Images (S. K. Anand).- An Interactive dashboard for Intrusion Detection in Internet of Things (M. Vishwakarma).- An Analous Review of the Challenges and Endeavor in Suspense Story Generation Technique (V. Kowsalya).- Friend recommendation using transfer learning in the autoencoder (A. Karande).- Analysis on the Efficacy of ANN on Small Imbalanced Datasets(B. Shah).- Lightweight and Homomorphic Security Protocols for IoT (I. Singh).- Tool based approach on Digital Vulnerability Management Hub using The-Hive Platform (S. R. Babu).- Performance Analyzer for Blue Chip Companies (I. Badole).- Strengthening Deep Learning Based Malware Detection Models Against Adversarial Attacks (R. Pai).- Video-based Micro  Expressions Recognition using Deep Learning and Transfer Learning (S. Kapadia).- Trustworthiness of COVID-19 News and Guidelines (S. Singh).- Detection of moving object using modified fuzzy C- means clustering from the complex and Non-Stationary background scenes (R. Sangle) .- Deterrence Pointer for Distributed Denial of Service (DDoS) attacks by utilizing Watchdog Timer and Hybrid Routing Protocol (S. J. Kumar).- Modelling Logistic Regression and Neural Network for Stock Selection With BSE 500 - A Comparative Study (S. Simon).- Landslide Detection with Ensemble-of-Deep Learning-Classifiers trained with Optimal

Rajiv Misra is an Associate Professor of Computer Science and Engineering at the Indian Institute of Technology Patna, India. His research focuses in distributed systems, cloud computing, big data computing, consensus in blockchain, cloud IoT-edge computing, ad hoc networks, and sensor networks. He has contributed significantly to these research areas of distributed and cloud computing and published more than 80 papers in reputed journals and conferences, with an impact of 999 citations and an h-index of 14. 
Muttukrishnan Rajarajan is currently the Director of the Institute for Cyber Security at City University of London and carries out research in the areas of privacy preserving data management, Internet of Things privacy, network intrusion detection, cloud security and identity management using blockchain. Raj has received funding from EPSRC, Royal Academy of Engineering, European Commission, Innovate UK, British Council and industry tocarry out research in cyber security. He has supervised several PhDs jointly with British Telecommunications, UK in the area if data analytics for cyber security and network intrusion detection. 
Bharadwaj Veeravalli is currently with the Department of Electrical and Computer Engineering, Communications and Information Engineering (CIE) division, at The National University of Singapore, Singapore. His main stream research interests include cloud/grid/cluster computing(big data processing, analytics and resource allocation), scheduling in parallel and distributed systems, Cybersecurity, and multimedia computing. He is one of the earliest researchers in the field of Divisible Load Theory (DLT). He did PhD degree from the Indian Institute of Science, Bangalore, India. He received gold medals for his bachelor degree overall performance and for an outstanding PhD thesis (IISc, Bangalore India) in the years 1987 and 1994, respectively.
Nishtha Kesswani has received prestigious