Portrait

Contact

Email    reza{at}dartmouth.edu
[Google Scholar] [Research Gate][DBLP]

About Me


I am a researcher in the Computer Science department of Dartmouth College. I did my Ph.D. in University of Vienna and my Master in Technical University of Vienna, Austria and Bachelor in IAUCTB, Iran.

My recent research focuses on creating data analytical tools to understand human behavior, by recording activities through mobile and wearable devices. In particular, we employ the sensing capabilities of small devices (e.g. wearables) to sense, record and analyze human behaviors. I am keen to perform all analysis on-device and not on the cloud, i.e. NoCloud. Therefore, we are creating low-power algorithms that are able to run on small devices. Recently, we are integrating these algorithms into a virtual assistant and "here" is a brief description about our project, Health Aware Personal Assistant, that is nominated as finalist by Vodafone Wireless Innovation Award 2017.

In addition to my academic life, I have worked for about six years, as a software developer and technical consultant in industry, such as Siemens (the largest engineering corporation in Europe) and UNIDO in U.N. I am Reza Rawassizadeh and not Reza Ravacizadeh :)

Publications


Journal, Magazine and Book Chapter

  1. Rawassizadeh, R., Pierson, T., Peterson, R. and Kotz, D. NoCloud: Experimenting with Network Disconnection by Design. In IEEE Pervasive Magazine (to appear)
  2. Rawassizadeh, R. Kotz, D. (2017) Datasets for Mobile, Wearable and IoT Research. GetMobile, 20(4), 5-7. Link
  3. Dobbins, C., Rawassizadeh, R., Momeni, E. (2017) Detecting Physical Activity within Lifelogs towards Preventing Obesity and Aiding Ambient Assisted Living. Neurocomputing journal. 230 (C), 110-132. Link
  4. Rawassizadeh, R., Momeni, E. Dobbins, C., Gharibshah, G. & Pazzani, M. (2016) Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data. IEEE Transaction of Knowledge Engineering and Data Mining, 28(11), 3098-3112 ACM Computing Review Notable Article of 2016. PDF
  5. Rawassizadeh, R., Momeni, E., Dobbins, C., Mirza-babaei, P. & Rahnamoun, R. (2015) Lesson Learned from Collecting Quantified Self Information from Mobile and Wearable Devices. Journal of Sensor and Actuators Network. 4, 315-355. Link
  6. Rawassizadeh, R., Tomitsch, M., Nourizadeh, M., Momeni, E., Peery, A., Ulanova, L., & Pazzani, M. (2015). Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches. Sensors, 15(9), 22616-22645. Link
  7. Rawassizadeh, R., Price, B. A., & Petre, M. (2015). Wearables: has the age of smartwatches finally arrived?. Communications of the ACM, 58(1), 45-47. Link
  8. Rawassizadeh, R., Tomitsch, M., Wac, K., & Tjoa, A. M. (2013). UbiqLog: a generic mobile phone-based life-log framework. Personal and ubiquitous computing, 17(4), 621-637. Link
  9. Rawassizadeh, R., Wac, K., & Tomitsch, M. (2013). Theme issue on electronic memories and life logging. Personal and Ubiquitous Computing, 17(4), 603-604. Link
  10. Rawassizadeh, R. (2012). Towards sharing life-log information with society. Behaviour & Information Technology, 31(11), 1057-1067. PDF
  11. Rawassizadeh, R., Anjomshoaa, A., Tjoa. A.M. (2011). A Qualitative Resource Benchmarking Approach for Mobile Applications. Book chapter in "Innovations in Mobile Multimedia Communications and Applications: New Technologies." 149-160. Link
  12. Rawassizadeh, R. (2009). Mobile application benchmarking based on the resource usage monitoring. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 1(4), 64-75. PDF

Conference and Workshop

  1. Visuri, A., Sarsenbayeva, Z., Berkel, N.V., Goncalves, J. Rawassizadeh, R., Kostakos, V., Ferreira, D. (2017) Quantifying Sources and Types of Smartwatch Usage Sessions. In Proceedings of the 35th Annual ACM Conference on Human Factors in Computing Systems (CHI '17). PDF
  2. Rawassizadeh, R., Dobbins, C., Nourizadeh, M., Ghamchili, Z., Pazzani, M. (2017) A Natural Language Query Interface for Searching Personal Information on Smartwatches. PerCom Workshops WristSense '17. Honorable Mention Award. PDF
  3. Momeni, E., Rawassizadeh, R., Adar, E. (2017) Leveraging Semantic Facets for Adaptive Ranking of Social Comments. In Proceedings of ACM International Conference on Multimedia Retrieval (ICMR '17), (pp. 356-364).
  4. Liu, R., Rawassizadeh, R., Kotz, D. (2017) Toward accurate and efficient feature selection for speaker recognition on wearables. In 15th ACM International Conference on Mobile Systems, Applications, and Services, (MobiSys '17), WearSys workshop. PDF
  5. Dobbins, C., Rawassizadeh. R. (2015) Clustering of Physical Activities for Quantified Self and mHealth Applications. 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC-2015): First International Workshop on Mobile Technology for Healthcare (MT4H 2015). Link
  6. Momeni, E., Kalchgruber, P., Ramsauer, D., Rawassizadeh, R. (2015) Leveraging Social Affect for Identifying Individual Mood. In 1st Workshop of Data Science, Semantics Conference. PDF
  7. Foell, S., Kortuem, G., Rawassizadeh, R., Handte, M., Iqbal, U., & Marron, P. (2014). Micro-navigation for urban bus passengers: using the internet of things to improve the public transport experience. In Proceedings of the First International Conference on IoT in Urban Space (pp. 1-6). Link
  8. Foell, S., Kortuem, G., Rawassizadeh, R., Phithakkitnukoon, S., Veloso, M., & Bento, C. (2013). Mining temporal patterns of transport behaviour for predicting future transport usage. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (pp. 1239-1248). Link
  9. Rawassizadeh, R., Heurix, J., & Khosravipour, S. (2011). LiDSec-A Lightweight Pseudonymization Approach for Privacy-Preserving Publishing of Textual Personal Information. In 2011 Sixth International IEEE Conference on Availability, Reliability and Security (ARES '11) (pp. 603-608) Link
  10. Rawassizadeh, R., Anjomshoaa, A., & Tomitsch, M. (2011). A framework for long-term archiving of pervasive device information. In Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia (pp. 244-247). Link
  11. Rawassizadeh, R., Khosravipour, S., Tjoa. A.M. (2011) A Persuasive Approach for Indoor Environment Tidiness. In the 6th International Conference on Persuasive Technology (Persuasive '11). PDF
  12. Rawassizadeh, R., Momeni, E., Tomitsch, M., Tjoa, A. M., & Wac, K. (2011) Supporting Forgetting and Semantic Enrichment of e-Memories through Annotation. In ACM 29th International Conference on Human Factors in Computing Systems, In workshop on Bridging Practices, Theories, and Technologies to Support Reminiscence. PDF
  13. Rawassizadeh, R. (2010). Securing shareable life-logs. In Social Computing (SocialCom), In 2010 IEEE Second International Conference on (pp. 1105-1110). Link
  14. Rawassizadeh, R. (2010). A holistic multipurpose life-log framework. In Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous Computing-Adjunct (pp. 481-484). Link
  15. Rawassizadeh, R., Tomitsch, M. (2010) Toward Preserving Pervasive Device Information. In ACM 28th International Conference on Human Factors in Computing Systems, In workshop on Know Thyself: Monitoring and Reflecting on Facets of One's Life. PDF

Technical Report & Not Peer-Reviewed Publications

  1. Rahnamoun, R., Rawassizadeh, R., Maskooki, A. (2016) Learning Mobile App Usage Routine through Learning Automata. arXiv:1608.03507 PDF
  2. Rawassizadeh, R., Momeni, E., Shetty, P. (2014) Scalable mining of daily behavioral patterns in context sensing life-log data arXiv:1411.4726 PDF
  3. S. Foell, R. Rawassizadeh, G. Kortuem, W. Apolinarski, M. Handte. (2014) Intent-Aware User Interface Model. Technical report for GAMBAS project (http://www.gambas-ict.eu). Link

Software Artifacts and Datasets