The 3rd workshop on physical analytics wpa16, collocated with mobisys 2016, solicits submissions broadly related to technologies, experiments and practical applications that center on the capture and understanding of the physical behavior of individuals, groups, and crowds in the physical world. Javier fernandezmarquesy, sourav bhattacharyax, and nicholas d. Strategic information revelation when experts compete to influence, with arijit mukherjee, rand journal of economics 20, vol 443, pp 522544. The heterogeneity human activity recognition hhar dataset from smartphones and smartwatches is a dataset devised to benchmark human activity recognition algorithms classification, automatic data segmentation, sensor fusion, feature extraction, etc. Ieee internet of things journal special issue on emerging. View the profiles of people named sourav bhattacharya. An early resource characterization of deep learning on.
Cloud fog edge computing in cyberphysicalsocial systems cpss ieee communications magazine data science and artificial intelligence for communications. Log in or sign up for facebook to connect with friends, family and people you know. In the th acm conference on embedded networked sensor systems. Facebook gives people the power to share and makes the world more open and connected. Monitoring daily activities of multiple sclerosis patients. Sparsification and separation of deep learning layers for. Math reading list 2015, a survey of the literature stephen cox, email protected b. Marina,the university of edinburgh fahim kawsar,nokia bell labs and tu delft. Augmenting crowdsourced website reputation systems with predictive modeling sourav bhattacharya1, otto huhta 2, and n. The widespread presence of motion sensors on users personal mo. Sourav joined bell labs as a postdoctoral researcher in february 2015, and since february 2016 sourav has been a member of the technical staff mts at nokia bell labs. Overview and future directions of deep learning model compression. Proceedings of the 1st joint workshop on smart connected. This tutorial will provide an introduction to deep learning with a core focus.
Sourav bhattacharya nokia bell labs nicholas d lane microsoft research. Proceedings of the 1st joint workshop on smart connected and wearable things 2016. Their combined citations are counted only for the first article. Valentin radu, catherine tong, sourav bhattacharya, nicholas d. A software accelerator for lowpower deep learning inference on mobile devices nicholas d. Alessandra sala bell labs, ireland verified email at pat nicholson bell labs, ireland verified email at nokia bell labs. Ondevice deep reinforcement learning for embedded and mobile devices rui lowe university college london, sourav bhattacharya nokia bell labs, david nunes university college london and university of coimbra portugal, akhil mathur nokia bell labs, nicholas lane university college london and nokia bell labs. The ones marked may be different from the article in the profile.
He is one of the lead researchers on a cognitive computing project to. Join facebook to connect with sourav bhattacharya and others you may know. Sourav bhattacharya, bell labs george decandio, ibm research marlon dumas, university of tartu. He develops novel inference techniques using deep learning and. Preference monotonicity and information aggregation in elections, econometrica 20, vol 81 3, pp 1229 1247 online appendix. Sonia ben mokhtar, cnrs, france sourav bhattacharya, nokia bell labs, ireland aaron yi ding, tu munich, germany avgoustinos filippoupolitis, university of greenwich, united kingdom sokol kosta, aalborg university, denmark edith c. This cited by count includes citations to the following articles in scholar. Understanding the impact of geographical context on subjective wellbeing of urban citizens afra mashhadi bell labs nokia afra.
See the complete profile on linkedin and discover sourav s connections and jobs at similar companies. View the profiles of professionals named sourav bhattacharya on linkedin. See the complete profile on linkedin and discover sourav. We collect the accelerometer data on a smartwatch and an earbud and analyse how motion. Lane,university of oxford and nokia bell labs cecilia mascolo,university of cambridge mahesh k. I lead the pervasive systems research at bell laboratories and hold a design united. Math reading list 2015, a survey of the literature. Deepak ajwani is a research scientist mts at bell labs in dublin, ireland, carrying out research on algorithms for large graphs in parallel, external and distributed computation models. Lane, university college london and nokia bell labs cecilia mascolo, university of cambridge continuous audio analysis from embedded and mobile devices is an. Claudio forlivesi is a research engineer at nokia bell labs.
Sourav bhattacharya is a research scientist at nokia bell labs cambridge, united kingdom. Lane, sourav bhattacharya, petko georgiev claudio forlivesi, lei jiao, lorena qendro. A stisen, h blunck, s bhattacharya, ts prentow, mb kj. Sourav bhattacharya agile manager sidero ltd linkedin. Ngai, uppsala university, sweden petteri nurmi, university of helsinki, finland. View the profiles of people named saurav bhattacharya. Explaining plural sourcing strategies, with ranjay gulati and phanish puranam.
Sourav bhattacharya nokia bell labs petko georgiev university of cambridge. The acm international joint conference on pervasive and ubiquitous computing ubicomp is the result of a merger of the two most renowned conferences in the field. Towards multimodal deep learning for activity recognition. Sourav bhattacharya nokia bell labs cecilia mascolo university of cambridge. The th acm conference on embedded networked sensor systems, 2015. We explore a new variability observed in motion signals acquired from modern wearables. Wearing variability refers to the variations of the device orientation and placement across wearing events. He develops novel inference techniques using deep learning and focusses on. Afra mashhadi, sourav bhattacharya, and fahim kawsar. View sourav bhattacharyas profile on linkedin, the worlds largest professional. Sourav bhattacharya nokia bell labs, ireland bogdan carbunar florida international university, usa ruichuan chen nokia bell labs, germany xu chen sun yatsen university, china aaron yi ding tu munich, germany roberto gonzalez nec labs europe.
Squeezing deep learning into mobile and embedded devices. Multimodal deep learning for activity and context recognition. Block or report user report or block sourav bhattacharya10. Understanding the impact of geographical context on. Sourav bhattacharya nokia bell labs, uk ang chen rice university, usa xu chen sun yatsen university, china huber flores university of helsinki, finland georg groh tu munich, germany xin jin johns hopkins university, usa yong li tsinghua university, china. Heterogeneity activity recognition data set download. Assessing and mitigating mobile sensing heterogeneities for activity recognition.
Lane, sourav bhattacharya, petko georgiev, claudio forlivesi, lei jiao, lorena qendro, fahim kawsar bell labs. Sourav bhattacharya profile image sourav bhattacharya. University of bologna abstractbreakthroughs from the. Allan stisen, henrik blunck, sourav bhattacharya, thor siiger prentow, mikkel baun kj.
Arnab bhattacharya computer science and engineering, indian institute of technology, kanpur verified email at iitk. Deepx proceedings of the 15th international conference. Yoshihide sekimoto is an associate professor and the director of sekimoto lab at the institute of industrial science, university of tokyo, japan. Monitoring daily activities of multiple sclerosis patients with connected health devices sourav bhattacharya nokia bell labs, cambridge, uk sourav. View sourav bhattacharya s profile on linkedin, the worlds largest professional community.
Laneyx yuniversity of oxford, xnokia bell labs since the success of alexnet krizhevskyetal. Sourav bhattacharya senior researcher samsung ai center. Using model distillation for ondemand finetuning of deep models short milad alizadeh and nicholas lane. He develops novel inference techniques using deep learning and focusses on model compression to bring new inference capabilities to mobile and wearable. Join facebook to connect with saurav bhattacharya and others you may know. Understanding the impact of geographical context on the subjective wellbeing of urban citizens, the 2nd international conference on iot in urban space urbiot 2016, may 2425, 2016, tokyo, japan. The wides pread presence of motion sensors on users personal mo. Sparsification and separation of deep learning layers for constrained resource inference on wearables.1317 662 533 1265 682 57 996 511 733 217 559 208 1522 1614 1060 1438 39 1051 1204 1647 298 454 587 88 1109 1033 384 681 1354 1403 1232 730 1298 245 716