Data Driven Decision Making using Analytics

Dr. Parul Gandhi A Doctorate in the subject of Computer Science with the study area in Software Engineering from Guru Jambheshwar University, Hisar. She is also a Gold Medalist in M.Sc. Computer Science. She is having a strong inclination towards academics and research. She has 15 yrs of academic, research and administrative experiences. She has published more than 40 research papers in reputed International/ National journal and conferences. Her research interests include software Quality, soft computing, and Software metrics and Component Based Software Development , Data Mining, IOT. Presently she is working as Professor, Manav Rachna International Institute of Research and Studies(MRIIRS), Faridabad. She is also handling the PhD program of the University. She has also been associated as a Editorial Board members of SN Applied Sciences and also a reviewer with various reputed journals of IEEE and Conferences. She has successfully published many book chapters in scopus indexed books and also editing various books with high indexing databases like Wiley and Springer. She is also handling special issues in journals of Elsevier, Springer as a guest editor. She has been called as a resource person in various FDPs and also chaired session in various IEEE conferences. She is the life time member of Computer Society of India. Dr. Surbhi Bhatia PMP® A doctorate in Computer Science and Engineering from Banasthali Vidypaith, India. She is currently an Assistant Professor in Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She has rich 8 years of teaching and academic experience. She is in the Editorial board member with Inderscience Publishers in the International Journal of Hybrid Intelligence, SN Applied Sciences, Springer and also in several IEEE conferences. She has been granted seven national and international patents. She has published more than 30 papers in reputed journals and conferences in high indexing databases including SCI, SCIE, Web of Science and Scopus. She has delivered talks as keynote speaker in IEEE conferences and in faculty development programs. She has successfully authored two books from Springer and Wiley. Currently, she is editing three books from CRC Press, Elsevier and Springer. She is also handling special issues in journals of Elsevier, Springer as a guest editor. She has been an active researcher in the field of Data mining, Machine Learning, and Information Retrieval. Dr. Kapal Dev Post-doctral Research Fellow with the CONNECT Centre, School of Computer Science and Statistics, Trinity College Dublin (TCD). His education Profile revolves over ICT background i.e. Electronics (B.E and M.E), Telecommunication Engineering (PhD) and Post-doc (Fusion of 5G and Blockchain). He was awarded the PhD degree by Politecnico di Milano, Italy in July 2019. His research interests include Blockchain, 5G Beyond Networks and Artificial Intelligence. Previously, he worked as 5G Junior Consultant and Engineer at Altran Italia S.p.A, Milan on 5G use cases. He is PI of two Erasmus + International Credit Mobility projects. He is evaluator of MSCA Co-Fund schemes, Elsevier Book proposals and top scientific journals and conferences including IEEE TII, IEEE TITS, IEEE TNSE, IEEE JBHI, FGCS, COMNET, TETT, IEEE VTC, WF-IoT. TPC member of IEEE BCA 2020 in conjunction with AICCSA 2020, ICBC 2021, DICG Colocated with Middleware 2020 and FTNCT 2020. He is also serving as GE in COMNET (I.F 3.11), Associate Editor in IET Quantum Communication, GE in COMCOM (I.F: 2.8), GE in CMC-Computers, Materials & Continua (I.F 4.89) and lead chair in one of CCNC 2021 workshops. He is also acting as Head of Projects for Oceans Network funded by European Commission.

1. Securing big data using big data mining. 2. Analytical Theory: Frequent Pattern Mining. 3. A Journey from Big Data To Data Mining In Quality Improvement. 4. Significance Of Data Mining In The Domain Of Intrusion Detection. 5. Data Analytics and Mining: Platforms for Real-Time Applications. 6. Analysis of Government Policies to Control Pandemic and its affects on Climate Change to improve Decision Making. 7. Data Analytics and Data Mining strategy to improve Quality, Performance and decision making. 8. SMART Business Model -An analytical approach to astute Data Mining for Successful Organization. 9. AI and Healthcare: Praiseworthy aspects and Shortcomings