Data Science and Security

Dr. Samiksha Shukla is currently employed as Associate Professor and Head, Data Science Department, Christ University, India. Her research interest includes computation security, machine learning, data science, and big data. She has presented and published several research papers in reputed journals and conferences. She has 16 years of academic and research experience and is serving as a reviewer for the Inderscience Journal, Springer Nature’s International Journal of Systems Assurance Engineering and Management (IJSA), and for IEEE and ACM conferences. She is an experienced and focused teacher, who is always committed to promoting the education and well-being of students, passionate about innovation and good practices in teaching, and always engaged in continuous learning to broaden knowledge and experience. She is having core expertise in computational security, artificial intelligence, and healthcare-related projects. She is skilled in adopting a pragmatic approach in improvising on solutions and resolving complex research problems. She possesses an integrated set of competencies that encompass areas related to teaching, mentoring, strategic management, and establishing a Centre of Excellence via industry tie-ups. She is having a track record of driving unprecedented research and development projects with international collaboration, instrumental in organizing various national and international events. Dr. Xiao-Zhi Gao received his BSc and MSc degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his DSc (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland, in 1999. He has been working as a professor at the University of Eastern Finland, Finland, since 2018. Prof. Gao has published more than 450 technical papers in refereed journals and international conferences. His current Google Scholar H-index is 34. Prof. Gao’s research interests are nature-inspiredcomputing methods with their applications in optimization, data mining, machine learning, control, signal processing and industrial electronics. Dr. Joseph Varghese Kureethara is heading the Centre for Research at Christ University. He has over sixteen years of experience in teaching and research at CHRIST (Deemed to be University), Bengaluru, and has published over 100 articles in the fields of graph theory, number theory, history, religious studies and sports both in English and Malayalam. Dr Joseph co-edited three books and authored one book. His blog articles, comments, facts and poems have earned about 1.5 lakhs total pageviews. He has delivered invited talks in over thirty conferences and workshops. He is the mathematics section editor of Mapana Journal of Sciences and member of the editorial board and reviewer of several journals. He has worked as member of the Board of Studies, Board of Examiners and Management Committee of several institutions. He hassupervised 5 PhDs, 12 MPhils and supervising 8 PhDs. Currently, Dr. Joseph Varghese is Professor of Mathematics CHRIST (Deemed to be University), Bengaluru. Dr. Durgesh Kumar Mishra has received MTech degree in Computer Science from DAVV, Indore, in 1994 and PhD in Computer Engineering in 2008. Presently, he is working as Professor (CSE) and Director Microsoft Innovation Centre at Sri Aurobindo Institute of Technology, Indore, MP, India. He is having around 24 Yrs. of teaching experience and more than 6 Yrs. of research experience. His research topics are secure multi-party computation, image processing and cryptography. He has published more than 80 papers in refereed international/national journals and conferences including IEEE and ACM. He is a senior member of IEEE, Computer Society of India and ACM. He has played very important role in professional society as Chairman. He has been a consultant to industries and government organizations like Sales Tax andLabour Department of Government of Madhya Pradesh, India.

CoInMPro: Confidential Inference and Model Protection using Secure Multi-Party Computation.- An Improved Face Mask-Aware Recognition System Based on Deep Learning.- Semantically Driven Machine Learning Infused Approach for Tracing Evolution on Software Requirements.- Detecting Dengue Disease using Ensemble Classification Algorithms.- Masked Face Recognition and Liveness Detection using Deep Learning Techniques.- Method of Optimal Threshold Calculation in Case of Radio Equipment Maintenance.- Swarm Intelligence Based Smart City Applications: A Review for Transformative Technology with Artificial Intelligence.- Performance Evaluation of Machine Learning Classifiers for Prediction of Type 2 Diabetes using Stress Related Parameters.- Performance Evaluation of Machine Learning Classifiers for Prediction of Type 2 Diabetes using Stress Related Parameters.- Parametrised Hesitant Fuzzy Soft Multiset for Decision Making.- Some Variations of Domination in Order Sum Graphs.- Emotion Detection using Natural Language Processing and ConvNets.- Analysis and Forecasting of Crude Oil Price Based on Univariate and Multivariate Time Series Approaches.- Deep Learning based Gender Recognition using Fusion of Texture Features from Gait Silhouettes.- Forest Protection by Fire Detection, Alarming, Messaging through IoT, Blockchain and Digital Technologies in Thailand Chiang Mai Forest Range.- On Circulant Completion of Graphs.