Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis, by Rachneet Kaur, Sanjana Menon, Xiaomiao Zhang, Richard Sowers,  and Manuel Hernandez, has been accepted to the 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2019).

Using Virtual Reality to Examine the Neural and Physiological Responses to Height and Perturbations in Quiet Standing, by Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard Sowers, and Manuel Hernandez, has been accepted to the 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19).

The proposal “Air quality in the home: from smart sensing to action” by C. Catlett, P. Francisco, and R. Sowers has been funded by the Discovery Partners Institute.  Mentioned in the News-Gazette. and in the Math Times

R.S. is speaking on Urban Data: Patterns for the Connected Vehicle at the IPAM Workshop on Autonomous Vehicles.

Rachneet Kaur will be presenting a poster Predicting Multiple sclerosis disorder from gait patterns, at the
9th International IEEE EMBS Conference On Neural
Engineering (NER’19)