Data Science and Security, 1st ed. 2021 Proceedings of IDSCS 2021 Lecture Notes in Networks and Systems Series, Vol. 290
Coordonnateurs : Shukla Samiksha, Unal Aynur, Kureethara Joseph Varghese, Mishra Durgesh Kumar, Han Dong Seog
This book presents the best-selected papers presented at the International Conference on Data Science, Computation and Security (IDSCS-2021), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during April 16?17, 2021. The proceeding is targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.
Dr. Samiksha Shukla, is currently employed as Associate Professor and Head, Data Science Department, CHRIST (Deemed to be University), Pune Lavasa Campus. 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 15 years of academic and research experience and is serving as reviewer for Inderscience Journal, Springer Nature’s International Journal of Systems Assurance Engineering and Management (IJSA), and for IEEE and ACM conferences. An experienced and focused teacher, who is always committed to promote the education and well-being of students. Passionate about innovation and good practices in teaching. Always engaged in continuous learning to broaden knowledge and experience. Having core expertise at Computational Security, Artificial Intelligence and Healthcare related projects. Skilled in adopting a pragmatic approach in improvising on solutions and resolving complex research problems. Possesses an integrated set of competencies that encompass areas related to Teaching, Mentoring, Strategic Management and establishing Centre of Excellence via Industry tie-ups. Having a track record of driving unprecedented research and development project with international collaboration, instrumental in organizing various National and International Events.
Dr. Aynur Ünal, educated at Stanford University (class of ’73) comes from a strong engineering design and manufacturing tradition, majored in Structural Mechanics-Mechanical Engineering-Applied Mechanics and Computational Mathematics from Stanford University. She has taught at Stanford University till mid 80’s and established the Acoustics Institute in conjunction with NASA-AMES research fellowships funds. Her work on “New Transform Domains for the Onset of Failures” received the most innovative research awards. Most recently she is bringing in thesoc
Date de parution : 08-2021
Ouvrage de 489 p.
15.5x23.5 cm
Thèmes de Data Science and Security :
Mots-clés :
Data Science; Artificial Intelligence; Machine Learning; Quantum Computing; Data and Network Security; Computation Security; Cyber Security; Information Security; Secure Multi-party Computation; Image Processing; Data Analytics; Mathematics for Data Science; Graph Theory and Application in Data Science
