Abstract: 
Smart infrastructures are usually driven by intelligent context-aware services that often need strong ML (or DL) models working in the backend. However, building such sophisticated models often needs a significant amount of labeled training data. The most accepted and the conventional source of such data annotation considers human-in-the-loop. Nevertheless, this task is getting expensive and often highly tedious with multimodal data sources in place. Considering the broad use case of sensor-based human activity recognition, in this talk, we first discuss the possibility of choosing auxiliary modalities that can provide enough information to get the data annotated without human-in-the-loop. Subsequently, we also look into zero-shot approaches to fine-tune the coarse-grain annotations received from external annotators to capture more information regarding the confounded actions hidden within any complex activity of daily living.

Bio: 
Sandip Chakraborty is working as an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Kharagpur. He obtained his Ph.D. from IIT Guwahati, India in 2014, and has been a visiting DAAD Fellow at MPI Saarbrucken, Germany, in 2016. His current researches explores design of ubiquitous systems for computer human interactions, particularly on multi-modal sensing, pervasive systems development, distributed computing, etc. His works have been published in conferences like ACM CHI, ACM BuildSys, ACM RecSys, ACM MobileHCI, TheWebConfn (WWW), IEEE PerCom, IEEE INFOCOM, ACM SIGSPATIAL, etc. He is one of the founding members of ACM IMOBILE, the ACM SIGMOBILE chapter in India. He is working as an Area Editor of Elsevier Ad Hoc Networks journal and Elsevier Pervasive and Mobile Computing journal. He has received various awards and accolades including INAE Young Engineers’ Award, Fellow of National Internet Exchange of India (NIXI), and so on. He is actively involved in organizing various conferences including IEEE PerCom, IEEE SmartComp, COMSNETS, ICDCN, etc., to name a few.

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