3/1/21 - I received $50k from T-Mobile to on developing security metrics for machine learning models.

1/19/21 - Our paper on privacy preserving video sharing on mobile devices using fully homomorphic encryption was accepted at IEEE SPT-IOT.

11/3/20 - Our paper on Predicting PM 2.5 in well-mixed indoor air for a large office building using regression and artificial neural network models was accepted by Environmental Science & Technology. If you don't have access, a free version is available here

7/1/20 - We received an $87k grant from T-Mobile for research on anonymizing mobile phone datasets for external use in machine learning.

3/1/20 - Kevin's paper on Detecting hidden webcams with Delay Tolerant Similarity of Simultaneous Observation (DT-SSO) was accepted for publication by Elsevier's Pervasive and Mobile Computing Journal.

1/10/20 - The demo of our system for privacy-preserving video sharing on mobile phones using fully homomorphic cyptography was accepted at the IEEE PerCom 2020 Demo session.

12/20/19 - Nick's paper on using context-awareness to secure crowdsensing incentives has been accepted at COMOREA 2020.

11/27/19 - I will be giving a talk at the University of Bamberg on December 2.

11/26/19 - My work in Germany has been covered in the following news article.

7/1/19 - I have been awarded the Johann-von-Spix Guest Professorship at the University of Bamberg.

5/23/19 - Our work in detecting hidden cameras was mentioned in Communications of the ACM.

5/22/19 - Our paper on Design Patterns for Compensating Controls for Securing Financial Sessions has been accepted at the 2019 International Workshop on Security Measurements of Cyber Networks (SMCN-2019).

3/10/19 - I have been awarded a $300k grant from the NSF to develop security mechanisms and privacy enhancing technology for smart city applications that utilize crowdsensing.

1/14/19 - I will be giving a talk at PNNL on 25 January.

1/1/19 - Abirami Narayanan's paper, iService: A Cloud-based Scheduling Service for Efficient Usage of IoT Resources was accepted at IEEE Pervasive Living Spaces (PerLS).

12/11/2018 - Kevin Wu's paper, Do You See What I See? Detecting Hidden Streaming Cameras Through Similarity of Simultaneous Observation was accepted at IEEE Pervasive Computing and Communications (Percom) 2019.

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My primary research interest is security in emerging environments. I am currently exploring topics such as secure machine learning in smart spaces and privacy in sensor-rich environments.

If you want to meet with me outside of my office hours, email me to set up a time. Also include an agenda for the meeting.

If you are interested in taking CSS497 with me, see my Guidelines. For CSS595 or CSS700 see these Guidelines. Contact me and begin this process as early as possible in order to have the best opportunity to succeed.

I am currently looking for students at all levels to work with me on my research. Funding may be available for some projects. Send me an email (see contact information above) if you are interested. Do not include an unsolicited copy of your CV/Resume. I will ignore any emails with attachments. Do not ask me to help you get admitted to the program.