Dr. S. Gowrishankar is currently working as an associate professor in the Department of Computer Science and Engineering at Dr. Ambedkar Institute of Technology, Bengaluru, Karnataka, India.
He received his Ph.D. in Engineering from Jadavpur University, Kolkata, West Bengal, India in 2010, MTech in software engineering and BE in computer science and engineering from Visvesvaraya Technological University (VTU), Belagavi, Karnataka, India in the year 2005 and 2003 respectively.
From 2011 to 2014 he worked as a senior research scientist and tech lead at Honeywell Technology Solutions, Bengaluru, Karnataka, India.
He has published several papers in various reputed international journals and conferences. He is serving as an editor and reviewer for various prestigious international journals. He is also a member of IEEE, ACM, CSI, and ISTE.
He has delivered many keynote addresses and invited talks throughout India on a variety of subjects related to computer science and engineering. He was instrumental in organizing several conferences, workshops, and seminars. He has also served on the panel of a number of academic bodies of universities and autonomous colleges as a BOS and BOE member.
His current research interests are mainly focused on data science, including its technical aspects as well as its applications and implications. Specifically, he is interested in the applications of Machine Learning, Data Mining, and Big Data Analytics in Healthcare.
Michael Bright, RHCE/RHCSA, is a solution architect working in the HPE EMEA Customer Innovation Center.
He has strong experience across Cloud and Container technologies (Docker, Kubernetes, AWS, GCP, Azure) as well as NFV/SDN.
Based in Grenoble, France, he runs a Python user group and is a co-organizer of the Docker and FOSS Meetup groups. He has a keen interest in Container, Orchestration, and Unikernel technologies on which he has presented and run training tutorials in several conferences.
He has presented many times on subjects diverse as NFV, Docker, Container Orchestration, Unikernels, Jupyter Notebooks, MongoDB, and Tmux.
Michael has a wealth of experience across pure research, R&D and pre-sales consulting roles.