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Dawud Gordon, Ph.D.

Founder & CEO at Twosense.AI. Helping hospitals eliminate password friction without compromising security.

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Dawud Gordon, Ph.D. Founder & CEO at Twosense.AI. Helping hospitals eliminate password friction without compromising security. Twosense · Karlsruhe Institute of Technology (KIT)

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About

From wearable sensing research to behavioral biometrics.

I founded Twosense.AI for continuous biometric authentication based on behavior. Before that, I earned my Ph.D. at the Karlsruhe Institute of Technology researching activity recognition with wearable and mobile devices.

2015 –

CEO & Co-FounderTwosense.AI

2014

Ph.D. (Dr.-Ing.) in Computer ScienceKarlsruhe Institute of Technology

2013 – 2015

FounderTwoSense, LLC

2010 – 2013

Research Assistant & Ph.D. CandidateKIT, TecO, Pervasive Computing Systems (Prof. Michael Beigl)

2012

Visiting ResearcherETH Zurich, Electronics Lab (Prof. Gerhard Tröster, Dr. Daniel Roggen)

2009 – 2010

Research Assistant & Ph.D. CandidateTU Braunschweig, Operating Systems & Computer Networks

2007 – 2008

Study abroad, artificial intelligenceUniversidad de Guadalajara, Mexico

2006 – 2009

M.Sc. in Computer ScienceTU Braunschweig

2005 – 2006

Application DeveloperMiltenyi Biotec, Cologne

2004 – 2005

Study abroad, German languageUniversität Würzburg

2000 – 2005

B.Sc. in Computer Science & PhysicsState University of New York at Albany

Research

Activity recognition, mobile cloud and wireless sensing.

Awards and nominations

Best Paper AwardReconciling Cloud and Mobile Computing using Activity-Based Predictive CachingMobiCASE 2013

Honorable Mention & Best Paper NomineeEnergy-Efficient Activity Recognition using PredictionISWC 2012

Best Demo NomineeProgram Your Reality with dinam-mitePervasive 2011

Best Paper NomineeActiServ: Activity Recognition Service for Mobile PhonesISWC 2010

Best Paper NomineeA Novel Micro-Vibration Sensor for Activity Recognition: Potential and LimitationsISWC 2010

Publications

29 papers, 2009–2014

Google Scholar ResearchGate KIT / TecO page

2014

Group Affiliation Detection Using Model Divergence for Wearable DevicesD. Gordon, M. Wirz, D. Roggen, G. Tröster, M. Beigl · ISWC 2014

PDF Talk video

Group Activity Recognition Using Belief Propagation for Wearable DevicesD. Gordon, M. Scholz, M. Beigl · ISWC 2014

PDF Talk video

Group Activity Recognition Using Wearable Sensing DevicesD. Gordon · Ph.D. dissertation, KIT, p. 1–242

PDF

2013

Reconciling Cloud and Mobile Computing using Activity-Based Predictive CachingD. Gordon, S. Frauen, M. Beigl · MobiCASE 2013 · Best Paper Award

A Concept for Support of Firefighter Frontline CommunicationM. Scholz, D. Gordon, L. Ramirez, S. Sigg, T. Dyrks, M. Beigl · Future Internet 5(2), p. 113–127

Article

Activity Recognition for Creatures of HabitD. Gordon, J. Czerny, M. Beigl · Personal and Ubiquitous Computing

Article PDF

Towards Collaborative Group Activity Recognition Using Mobile DevicesD. Gordon, J.-H. Hanne, M. Berchtold, A. A. N. Shirehjini, M. Beigl · Mobile Networks and Applications 18(3), p. 326–340

Article PDF Dataset

2012

jNode: A Sensor Network Platform that Supports Distributed Inertial Kinematic MonitoringP. M. Scholl, K. Van Laerhoven, D. Gordon, M. Scholz, M. Berning · INSS 2012, p. 1–4

PDF

Group Activity Recognition using Mobile DevicesD. Gordon · Doctoral Consortium, Pervasive 2012

PDF Slides

Energy-Efficient Activity Recognition Using PredictionD. Gordon, J. Czerny, T. Miyaki, M. Beigl · ISWC 2012, p. 29–36 · Honorable Mention

PDF Slides IEEE

Investigation of Context Prediction Accuracy for Different Context Abstraction LevelsS. Sigg, D. Gordon, G. Von Zengen, M. Beigl, S. Haseloff, K. David · IEEE Transactions on Mobile Computing 11(6), p. 1047–1059

PDF

WoR-MAC: Combining Wake-on-Radio with Quality-of-Service for Intelligent EnvironmentsD. Gordon, M. Berning, R. El Masri, M. Beigl, J. Blanckenstein, J. Klaue · INSS 2012, p. 1–8

IEEE Slides

A Platform-as-a-Service for In-Situ Development of Wireless Sensor Network ApplicationsY. Ding, M. A. Neumann, D. Gordon, T. Riedel, T. Miyaki, M. Beigl, W. Zhang, L. Zhang · INSS 2012, p. 1–8

IEEE PDF

2011

Ubiquitous Know-How Transfer Based on a Mobile Learning and Classification SystemY. Ding, M. Budde, D. Gordon, D. Shishkova, N. Sackmann, H. R. Schmidtke, M. Beigl · CONTEXT 2011 Adjunct Proceedings, p. 3–4

PDF PDF Video

Program Your Reality with dinam-miteD. Gordon, M. A. Neumann, M. Beigl · Demo, Pervasive 2011 · Best Demo Nominee

PDF

Recognizing Group Activities using Wearable SensorsD. Gordon, J.-H. Hanne, M. Berchtold, T. Miyaki, M. Beigl · MobiQuitous 2011, p. 350–361

Article PDF Slides

Using Prediction to Conserve Energy in Recognition on Mobile DevicesD. Gordon, S. Sigg, Y. Ding, M. Beigl · PerCom Workshops 2011, p. 364–367

IEEE PDF PDF

An Experiment in Hierarchical Recognition of Group Activities Using Wearable SensorsD. Gordon, J.-H. Hanne, M. Berchtold, T. Miyaki, M. Beigl · CONTEXT 2011, p. 104–107

Article PDF Poster

Global Peer-to-Peer Classification in Mobile Ad-Hoc Networks: A Requirements AnalysisD. Gordon, M. Scholz, Y. Ding, M. Beigl · CONTEXT 2011, p. 108–114

Article PDF Slides

Mobile Sensing in Metropolitan Area: Case Study in BeijingW. Zhang, L. Zhang, Y. Ding, T. Miyaki, D. Gordon, M. Beigl · Ubicomp 2011 Workshop on Mobile Sensing

PDF

Collaborative Channel Equalization: Analysis and Performance Evaluation of Distributed Aggregation Algorithms in WSNsB. Banitalebi, D. Gordon, S. Sigg, T. Miyaki, M. Beigl · IEEE MASS 2011, p. 450–459

IEEE URL

2010

Introducing New Sensors for Activity RecognitionD. Gordon, H. Schmidtke, M. Beigl · Workshop at Pervasive 2010

PDF Slides

A Long-Term Sensory Logging Device for Subject MonitoringD. Gordon, F. Witt, H. Schmidtke, M. Beigl · PervasiveHealth 2010, p. 1–4

Article PDF Slides

A Novel Micro-Vibration Sensor for Activity Recognition: Potential and LimitationsD. Gordon, H. R. Schmidtke, M. Beigl, G. von Zengen · ISWC 2010, p. 1–8 · Best Paper Nominee

IEEE PDF Slides Dataset

Dinam: A Wireless Sensor Network Concept and Platform for Rapid DevelopmentD. Gordon, M. Beigl, M. A. Neumann · INSS 2010, p. 57–60

IEEE PDF Slides

ActiServ: Activity Recognition Service for Mobile PhonesM. Berchtold, M. Budde, D. Gordon, H. R. Schmidtke, M. Beigl · ISWC 2010, p. 1–8 · Best Paper Nominee

IEEE PDF

Rapid Prototyping for Urban SensingD. Gordon, M. Berning, H. Schmidtke, M. Beigl · UBI Challenge Workshop, Ubicomp 2010, p. 5–8

PDF

2009

A Study on the Use of Wireless Sensor Networks in a Retail StoreD. Gordon, M. Beigl, M. Iwai · Workshop at Pervasive 2009

PDF Slides

D-Bridge: A Platform for Developing Low-Cost WSN Product SolutionsD. Gordon, M. Beigl · INSS 2009, p. 62–65

IEEE PDF Slides