Title : Data Science and Analytics
Name of the Organizers : Dr.J.P.Ananth, Dr.S.Balakrishnan
Email of the main Contact Person : firstname.lastname@example.org
Brief Bio of the Organizers :
Dr.J.P.Ananth, is a Professor at Sri Krishna College of Engineering and Technology. He received B.E and M.E in Computer Science and Engineering from Manonmaniam Sundaranar University, and Doctor of Philosophy (Ph.D) in Computer Vision and Pattern Recognition from Sathyabama University, India. He has published research articles in highly cited journals and conferences. He has authored a book in Compiler Design. He is a Reviewer and Editorial Board Member of many International Journals. Also acted as Session Chair and Advisory Board Member in many Conferences. His research interests include Data Analytics and Computer Vision.
Dr.S.Balakrishnan, Professor, Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India. He has 17 years of experience in teaching, research and administration. He has published over 15 books, 3 Book Chapters, 4 Technical articles in CSI Communications Magazine and over 50 publications in highly cited Journals and Conferences. His professional awards include: Best Faculty – Computer Science and Engineering, Teaching Excellence Award, I2OR – Bright Researcher Award, Best Outstanding Faculty Award, Best Teacher Award, Best Research Paper Award, Best Book Publication Award and Best Book Chapter Award, Special Contributor Award and Star Performer Award. His research interests are Artificial Intelligence, Cloud Computing and IoT. He has delivered several guest lectures, seminars and chaired a session for various Conferences. He is serving as a Reviewer and Editorial Board Member of many reputed Journals and acted as Session chair and Technical Program Committee member of National conferences and International Conferences at China and Bangkok. He has filed Patent on IoT Applications. Dr.Balakrishnan is a life member of ISTE, IAENG, IEAE, IARDO, CSI, UACEE, SDIWC and CSTA.
Brief Description :
Data Science and Analytics conference should have an equal emphasis on both Theoretical advances and large real world impact that benefits customers and researchers. Also the conference should feature several technocrats from various academic institutions, industries to present their innovations.
Related Topics :
Data Mining, Big Data, Data Science, Data Analysis, Machine Learning, Deep Learning, Predictive Analysis
Potential Participants :
- Research Scholars, Academic and Industry Researchers
- Industry Technocrats,
Submit your paper at: https://edas.info/N24112 – Please choose the special session track when submitting the paper.