Adarsh Pal Singh working under the supervision of Dr. Sachin Chaudhari presented a paper on Machine Learning-based Occupancy Estimation using Multivariate Sensor Nodes at the  IEEE Globecom Workshops in Abu Dhabi from 9 – 13 December.

IEEE Global Communications Conference (GLOBECOM-2018) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 3000 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.

Thousands of participants gather to present research results, share visions and ideas, obtain updates on latest technologies and expand professional and social networking. These activities are realized through IEEE GLOBECOM’s multiple diversified and exciting programs.

This 5-day event had several keynote speeches by distinguished speakers from industry, academia and government sectors; panels and forums; technical sessions featuring technical papers extensively reviewed by peers; workshops focusing on the latest trends in various technology; tutorials delivered by experts in respective disciplines; exhibits; an awards luncheon; and a relaxing and entertaining banquet.