Data Science and Security: Proceedings of Idscs 2021

ISBN-13: 9789811644856 / Angielski / Miękka / 2021 / 491 str.

Samiksha Shukla; Aynur Unal; Joseph Varghese Kureethara

Spis treści

Towards a Knowledge Centric Semantic Approach for Text Summarization.- Detection of Abnormal Red Blood Cells using Features Dependent on Morphology and Rotation.- A Systematic Review of Challenges and Techniques of Privacy-Preserving Machine Learning.

O autorze

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 the social responsibility dimension into her incubation and innovation activities by getting involved in social entrepreneurial projects on street children and ageing care. She is also the Strategic Adviser for Institutional Development to IIT Guwahati. She is a preacher of Open Innovation and she always encourages students to innovate and helps them with her support.

Dr. Joseph Varghese 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 that has 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 has supervised 5 PhDs, 12 MPhils and supervising 8 PhDs. Current Profession: Dr. Joseph Varghese is a Professor of Mathematics CHRIST (Deemed to be University), Bengaluru.

 

Dr. Durgesh Kumar Mishra has received M.Tech 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 organization like Sales tax and Labor Department of Government of Madhya Pradesh, India.

 

Dr. Dong Seog Han, received his B.S. degree in electronic engineering from Kyungpook National University (KNU), Daegu, Korea, in 1987, and his M.S. and Ph.D. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejon, Korea, in 1989 and 1993, respectively. From October 1987 to August 1996, he was with Samsung Electronics, Co. Ltd., where he developed the transmission systems for QAM HDTV and Grand Alliance HDTV receivers. Since September 1996, he has been with the School of Electronics Engineering, KNU as a Professor. He worked as a courtesy Associate Professor in the Department of Electrical and Computer Engineering, University of Florida in 2004. He is director of the Center ICT and Automotive Convergence, KNU and AI Society Chair at the Korean Institute of Communications and Information Sciences. He has published over 122 articles in the fields of Communication Theory, Autonomous Vehicles, and AI and holds 42 patents.

Blurb

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.