Inder Gopal is the Founding Partner of Carnegie Hill Technologies, an innovative new Cloud Computing consultancy. He was previously Vice President of Software at Ericsson, where he was instrumental in launching their Edge computing efforts. Before that, he was Vice President of Networking at IBM, where he had responsibility for all of IBM’s hardware and software networking products. He has also worked in senior executive roles at AT&T and Prodigy.
He has also founded, built-up, and successfully sold two venture-funded start-up companies, ReefEdge and Iptivia, both viewed as pioneering innovators in their space. He served as the Founding Chairman of the leading open source networking software group, OpenDaylight, recruiting dozens of top-tier companies to participate. He is well known for his successful commercialization of leading edge technology, often creating new markets and product categories.
Inder Gopal has also had a distinguished research career in the area of computer networks, with 20 patents and more than 70 technical publications to his credit. He worked at the IBM T.J. Watson Research Center, earning two IBM Outstanding Innovation Awards. He has served as editor of several technical journals and was elected Fellow of the IEEE. He has a PhD from Columbia University, New York and a B.A. from Oxford University, England.
Santanu Bhattacharya is currently working as Chief Data Scientist at Airtel, leading innovation, data sciences and driving digital transformation. He has an overall 25 years of experience in digital products, data sciences, research and innovation.
Santanu has led Facebook’s emerging market products with 350 million users and been an entrepreneur who created two global data product start-ups. He also set up and was the founding Director of America Online’s (AOL) global data analytics center.
Santanu received his Ph.D. in Astrophysics from NASA’s Goddard Space Flight Center as a part of the CASSINI/ Huygens mission to Saturn and an alumnus of MIT Sloan School and IIT-Bombay. His areas of interest include “India Class” problems (identify, address disambiguation, nascent consumer behaviors etc.) and privacy preserved AI techniques such as Federated Learning and Homomorphic Encryption. Some of his research topics are listed below –
Economic Impact of Discovery of Localities and Addresses In India, MIT Emerging Worlds, June 2018
The New Dawn of AI: Federated Learning, Towards Data Science, Jan. 2019
What is the Right Addressing Schema for India?, MIT Emerging Worlds, Nov. 2017
A review of Homomorphic Encryption Libraries for Secure Computation, ArXiv Preprint, Dec. 2018
Mouli Chandramouli is currently working as Data Scientist at Cisco Systems, Bangalore in the area of application Machine Learning algorithms for analytics of Network Telemetry and Network Inference.
Mouli Chandramouli received his M. S. and Ph.D. from University of Arizona, Tuscon, AZ in the area of Stochastic Process and Queueing Theory. Prior work experience at AT&T Bell Laboratories, Holmdel, NJ, Bell Communications Research, NJ in the area of network performance modelling and Dynamicsoft, NJ a startup company focussed on VOIP products based on SIP Protocol which was acquired by Cisco Systems. At Cisco Systems, his work has been is in the areas of MPLS networks, Energy Management for networking devices and distributed embedded network analytics algorithms.