Christian Poellabauer

Christian Poellabauer

Professor & Graduate Program Director
CASE 383
Tues 10:00am - 11:00am & Wed 11:00am - 12:00pm
ORCID: 0000-0002-0599-7941


Dr. Christian Poellabauer is a Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. He received his Ph.D. from the Georgia Institute of Technology in 2004 and worked as Assistant, Associate, and Full Professor in the Computer Science and Engineering Department at the University of Notre Dame from 2004 to 2021. At Notre Dame, he also served as Associate Director of the Lucy Family Institute for Data and Society and Founding Director of the Applied Analytics and Emerging Technologies Lab. At FIU, he directs the MOSAIC (Mobile Sensing and Analytics) Lab, which focuses on developing novel personal, social, and crowdsensing solutions in a variety of application domains, primarily in the healthcare field. Notable outcomes of his lab's research include the development of various solutions using mobile devices, wearables, and virtual assistants for the diagnosis of concussions, the rehabilitation progress of amputees and stroke survivors, the monitoring of the progression of neurological conditions, and the detection of depression in college students and PTSD in first responders. Other areas of interest include wireless/sensor/vehicular networks, the Internet-of-Things, and edge computing based AI solutions, just to name a few. He also has strong interest in assisting with students with startup efforts and he is a strong advocate for the early inclusion of undergraduate and high school students in hands-on research projects. He was named a Fulbright Scholar in 2018 and he has co-authored a textbook on Wireless Sensor Networks, which has been translated into Chinese and Persian. His research efforts have been supported by organizations such as the NIH, NSF (including a 2006 CAREER award), Department of Education, and DoD, and numerous private organizations and businesses such as IBM, Toyota, Ford Research, the National Football League, National Geographic, GE Health, Motorola Labs, among others.

Honors and Awards

Fulbright U.S. Scholar (Graz University of Technology Visiting Professor) 2018 - 2019 Faculty Fellow, John A. Kaneb Center for Teaching and Learning 2017 - 2019 First Place in Startup South Bend-Elkhart/Elevate Ventures (Healthy Points, LLC) 2018 Edmund P. Joyce, C.S.C. Award for Excellence in Undergraduate Teaching 2017 7th Audio/Visual Emotion Challenge, Winner of Depression Detection Task 2017 IEEE Access Multimedia Contest, Winner 2014 Meritorious Service Award, IEEE Computer Society 2014 Best Paper Award, MobiHealth 2020 ISCA Best Student Paper Award Nomination, INTERSPEECH 2019 Best Paper Nomination, ICHI 2016 Best Paper Award, HotPlanet 2013 Best Student Paper Award, SensorKDD 2012 Best Graduate Student Poster Award, Richard Tapia Celebration of Diversity in Computing Conference 2008 Semifinalist in McCloskey Business Plan Competition (Emerald Active, LLC) 2014 First Place in McCloskey Business Plan Competition (Contect, Inc.) 2013 IEEE ICCCN Leadership Award 2011 IBM Real-Time Innovation Award 2008 NSF CAREER Award 2006 Outstanding Doctoral Dissertation Award 2005 Nomination for ACM Outstanding Dissertation Award 2005 IBM Ph.D. Research Fellowship 2002 - 2004

Research and Educational Interests

Smart health, crowdsensing, mobile computing, wireless networks, Internet-of-Things

Background Education

  • 2004 Ph.D., Computer Science, Georgia Institute of Technology
  • 1998 Dipl.-Ing., Computer Science, University of Technology Vienna, Austria

Professional Activities

Senior Member, ACM Senior Member, IEEE Program Committee Member - Over 100 International Conferences General/Program/Track Chair - Over 15 International Conferences Editorial Board Member, Journal of Mobile Computing and Wireless Technology (JMCWT) Editorial Board Member, International Journal of Embedded and Real-time Communication Systems(IJERTCS)

Professional Experience

2021 - date: Professor, Knight Foundation School of Computing and Information Sciences, FIU 2019 - 2021: Professor, Department of Computer Science and Engineering, University of Notre Dame 2020 - 2021: Associate Director, Lucy Family Institute for Data & Society, University of Notre Dame 2020 - 2021: Founding Director, Applied Analytics & Emerging Technologies Lab, University of Notre Dame 2019 - 2021: Faculty Fellow, Pulte Institute for Global Development, University of Notre Dame 2019 - 2021: Faculty Affiliate, iNDustry Labs, University of Notre Dame 2018 - 2019: Visiting Professor, Graz University of Technology, Austria 2010 - 2019: Associate Professor, Department of Computer Science and Engineering, University of Notre Dame 2004 - 2010: Assistant Professor, Department of Computer Science and Engineering, University of Notre Dame

Selected Publications

John Michael Templeton, Christian Poellabauer, and Sandra Schneider, "Negative Effects of COVID-19 Stay-at-Home Mandates on Physical Intervention Outcomes: A Preliminary Study", Journal of Parkinson's Disease 2021. John Michael Templeton, Christian Poellabauer, and Sandra Schneider, "Design of a Mobile-Based Neurological Assessment Tool for Aging Populations", Proceedings of the 9th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), Virtual Conference, November 2020. Yuan Gong, Jian Yang, and Christian Poellabauer, "Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method", IEEE Signal Processing Letters, vol. 27, pp. 920-924, 2020. Jian Yang, Christian Poellabauer, Pramita Mitra, and Cynthia Neubecker, "Beyond Beaconing: Emerging Applications and Challenges of BLE", Ad Hoc Networks vol. 97, no. 102015, February 2020. Yuan Gong, Jian Yang, Jacob Huber, Mitchell MacKnight, and Christian Poellabauer, "ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems", Proceedings of the 20th Annual Conference of the International Speech Communication Association (INTERSPEECH), Graz, Austria, September 2019. Sudip Vhaduri and Christian Poellabauer, "Multi-modal Biometric-based Implicit Authentication of Wearable Device Users", IEEE Transactions on Information Forensics and Security, April 2019.