Brent Lagesse

Associate Professor
CV
ORCID
Google Scholar Profile
Computer and Software Systems
University of Washington - Bothell

News:

5/10/23 - Our project on Automatic Generation of Large-Scale Genetic Variant Libraries for Precision Genome Editing has received the Center for Biotechnology Innovation and Training Summer Undergraduate Research Award to fund Gabriel Pitzel for the summer.

12/8/22 - Jeffy's paper, Keyword Extraction From Specification Documents for Planning Security Mechanisms was accepted at ICSE 2023. PDF Here

10/03/22 - Vidushi's paper, Computing Specializations: Perceptions of AI and Cybersecurity Among CS Students was accepted at SIGCSE 2023. PDF Here

4/19/22 - Jeffy's paper, Towards Lightweight Detection of Design Patterns in Source Code was accepted at the 2022 International Conference on Software Engineering and Knowledge Engineering (SEKE 2022). PDF here

2/22/22 - We received $96k from the NSA for our project on GenCyber Capacity Building: Curriculum Development for Non-Profit Programs Serving Historically Under-Represented Individuals in Cybersecurity in collaboration with iUrbanTeen.

2/8/22 - Our paper on Performing Indoor PM2.5 Prediction with Low-cost Data and Machine Learning was accepted by Facilities Journal (pdf)

4/28/21 - We received $300k from the NSF for our project Artificial Intelligence-Enhanced Cybersecurity: Workforce Needs and Barriers to Learning in collaboration with Prof. Colleen Lewis at UIUC.

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.

More News