Data Science Research Group

                                                                        

 

Data Science Research Group

 

College of Engineering, Computer Science, and Technology

Department of Computer Science

 
 

RESEARCH

  • Data Science
  • Predictive Analytics
  • Big Data Analytics
  • Artificial Intelligence, Machine Learning, and Data Mining
  • Risk Prediction for Healthcare and Medical applications
  • Health Analytics
  • Smart and Connected Health
  • mHealth

 


PEOPLE

  Director

 

                 mp

  Mohammad Pourhomayoun, PhD
              Founder and Director
               Assistant Professor
      Computer Scinece Department
      Email: mpourho@calstatela.edu

 

  Graduate Students

 

s1

        Steve Shim         Graduate Student

student2

     Haiyan Wang       Graduate Student

s1

     Cheryl Jose        Graduate Student

Milim

         Milin Joshi         Graduate Student

Sabhya Gupta

        Sabhya Gupta         Graduate Student

kae11

        Kae Sawada        Graduate Student

s1

         Melanie Kwon         Graduate Student

LF

        Luis Fisher         Graduate Student

s1

        Naveen Kumar         Graduate Student

    


PROJECTS

    - Predictive Analytics for Chronic Disease Management:

                                                                                 rhm1

    - Data Scinece for Remote Health Monitoring:

                                                                       rhm2

    - Context-Aware Analytics for Patient Monitoring

 w             ar

    - Automatic Pedestrian/Bicyclist Recognition in Video Streams

                               p2               ped

     

    - Interactive Map for Traffic Data Analytics and Visualization:

                                                                            map

 

    - Marketing Prediction Using Social Network Data:

                                                                                              f               tw              

 


TEACHING

CS4661:  Introduction to Data Science (2 sections), Fall 2016.

CS2148:  Discrete Structures, Fall 2016.

CS5661:  Advanced Topics in Data Science (2 sections), Spring 2017.

 


PUBLICATIONS

  1. M. Pourhomayoun, N. Alshurafa, F. Dabiri, C. Sideris, K. Yadav, L. Tseng, H. Ghasemzadeh, A. Nyamathi, M. Sarrafzadeh, “A Robust Remote Health Monitoring and Data Processing System for Rural Area with Limited Internet Access,” International Conference on Body Area Networks, BodyNets 2016, Italy, Dec 2016.
  2. M. Pourhomayoun, N. Alshurafa, F. Dabiri, E. Ardestani, A. Samiee, H. Ghasemzadeh, M. Sarrafzadeh, “Why Do We Need a Remote Health Monitoring System?  A Study on Predictive Analytics for Heart Failure Patients,” International Conference on Body Area Networks, BodyNets 2016, Italy, Dec 2016.
  3. Sh. Zhang, R. Alharbi, M. Pourhomayoun, N. Alshurafa, “Food Watch: Detecting and Characterizing Eating Episodes through Feeding Gestures,” International Conference on Body Area Networks, BodyNets 2016, Italy, Dec 2016 (Best Paper Award).
  4. B. Mortazavi, M. Pourhomayoun, S.I. Lee, S. Nyamathi, B. Wu, M. Sarrafzadeh, “User-Optimized Activity Recognition for Exergaming,” Elsevier Journal of Pervasive and Mobile Computing, 2016.
  5. N Alshurafa, C Sideris, M. Pourhomayoun, H Kalantarian, M Sarrafzadeh, JA Eastwood, “Remote Health Monitoring Outcome Success Prediction using Baseline and First Month Intervention Data,” IEEE journal of biomedical and health informatics, 2016.
  6. C. Sideris, M. Pourhomayoun, H. Kalantarian, M. Sarrafzadeh, “A Flexible Data-Driven Comorbidity Feature Extraction Framework,” Elsevier Journal on Computers in Biology and Medicine, 2016.
  7. H. Kalantarian, B. Mortazavi, M. Pourhomayoun, N. Alshurafa, M. Sarrafzadeh, “Probabilistic Segmentation of Time-Series Audio Signals using Support Vector Machines,” Elsevier Journal on Microprocessors and Microsystems, 2016.
  8. M. Pourhomayoun, E. Nemati, B. Mortazavi, M. Sarrafzadeh, "Context-Aware Data Analytics for Activity Recognition," International Conference on Data Analytics, DATA ANALYTICS 2015, July 19 - 24, 2015, France, (Best Paper Award).
  9. F. Day, M. Sarrafzadeh, S. Smith., M. Pourhomayoun, Sideris, K., Param, A., Ben-Hamou, J., Keeves, D., Pfeffer, M., Bell, D., "An EHR-Integrated Shared Decision Making Mobile App for Prostate Cancer Screening", American Medical Informatics Association (AMIA) 2015
  10. M. Pourhomayoun, N. Alshurafa, B. Mortazavi, H. Ghasemzadeh, K. Sideris, B. Sadeghi, M. Ong, L. Evangelista, P. Romano, A. Auerbach, A. Kimchi, M. Sarrafzadeh, "Multiple Model Analytics for Adverse Event Prediction in Remote Health Monitoring Systems," IEEE EMBS Conference on Healthcare Innovation & Point-of-Care Technologies, 2014.
  11. M. Pourhomayoun, P. Dugan, M. Popescu, and C. Clark, “Classification for Big Dataset of Bioacoustic Signals Based on Human Scoring System and Artificial Neural Network,” International Conference on Machine Learning (ICML), Atlanta, GA.
  12. M. Pourhomayoun, P. Dugan, M. Popescu, and C. Clark, “Bioacoustic Signal Classification Based on Continuous Region Features, Grid Masking Features and Artificial Neural Network,” International Conference on Machine Learning (ICML), Atlanta, GA.
  13. M. Pourhomayoun, Z. Jin and M.L. Fowler, “Accurate Localization of In-Body Medical Implants Based on Spatial Sparsity,” IEEE Transactions on Biomedical Engineering, Volume 61, Pages 590-597, 2014.
  14. H. Kalantarian, N. Alshurafa, M. Pourhomayoun, Majid Sarrafzadeh, " Power Optimization for a Wearable Devices", IEEE International Conference on Pervasive Computing and Communication (PerCom), 2015.
  15. P. Dugan, M. Pourhomayoun, Y. Shiu, A. Rice, C. Clark, “Using High Performance Computing to Explore Large Complex Bioacoustic Soundscapes: Case Study for Right Whale Acoustics”, Journal of Elsevier Procedia Computer Science, Volume 20, Pages 156–162.
  16. M. Pourhomayoun and M.L. Fowler, “Distributed Computation for Direct Position Determination,” IEEE Transactions on AES, 2014.
  17. B. Mortazavi, M. Pourhomayoun, H. Ghasemzadeh, R. Jafari, M. Sarrafzadeh, "Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems - An Application to MET Calculation of Exergaming Actions", IEEE Internet Of Things Journal, 2014.
  18. M. Pourhomayoun, Z. Jin and M.L. Fowler, “Accurate Tumor Localization and Tracking in Radiation Therapy Using Wireless Body Sensor Networks,” Journal of ELSEVIER Computers in Biology and Medicine, 2014.
  19. M. Pourhomayoun, Z. Jin and M.L. Fowler, “Indoor Localization, Tracking and Fall Detection for Assistive Healthcare Based on Spatial Sparsity and Wireless Sensor Network,” International Journal of Monitoring and Surveillance Technologies Research, 2013.
  20. N. Alshurafa, J. Eastwood, J. Liu, W. Xu, M. Pourhomayoun, M. Sarrafzadeh, "Improving Compliance in Remote Health Monitoring System using Battery Optimization," IEEE Journal of Biomedical and Health Informatics (JBHI), 2014.
  21. M. Pourhomayoun, M.L. Fowler, “Cramer-Rao Bound for Frequency Estimation in Coherent Pulse Train with Unknown Pulses,” IEEE Transactions on AES, 2013.
  22. M. Pourhomayoun and M.L. Fowler, "Spatial Sparsity-Based Emitter Location: Multipath and Multiple Emitters," ACM Transaction on Sensor Networks, 2014 (Pending).
  23. N. Alshurafa, H. Kalantarian, M. Pourhomayoun, J. Liu, S. Sarin, M. Sarrafzadeh, "A Wearable Piezoelectric Sensor for Recognition of Nutrition-Intake using Spectrogram Analysis," IEEE Sensors Journal, 2014 (Pending).
  24. H. Kalantarian, N. Alshurafa, M. Pourhomayoun, S. Sarin, M. Sarrafzadeh, " Non-Invasive Detection and Classification of Food Intake using Audio Spectrograms," IEEE Sensors Journal, 2014.
  25. C. Sideris, M. Pourhomayoun, N. Alshurafa, B. Shahbazi, M. Sarrafzadeh, " Validating Severity of Condition Prediction Model built from Electronic Health Records on Remote Health Monitoring Patients", Elsevier Pervasive and Mobile Computing Journal (PMC) (Pending).
  26. P. Dugan, M. Pourhomayoun, Y. Shiu, A. Rice, C. Clark, “Using High Performance Computing to Explore Large Complex Bioacoustic Soundscapes”, Complex Adaptive Systems Conference.
  27. B. Mortazavi, M. Pourhomayoun, M. Chronley, S. I. Lee, Ch. Roberts, M. Sarrafzadeh, "Support Vector Regression for METs of Exergaming Actions", IEEE EMBS Conference on Healthcare Innovation & Point-of-Care Technologies, 2014.
  28. B. Mortazavi, M. Pourhomayoun, N. Alshurafa, S. Lee, M. Sarrafzadeh, "Determining the Single Best Axis for Exercise Repetition Recognition and Counting with SmartWatches", The 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN2014), 2014.
  29. N. Alshurafa, M. Pourhomayoun, S. Nyamathi, L. Bao, B. Mortazavi, J. Eastwood, M. Sarrafzadeh, "Anti-Cheating: Detecting Self-Inflicted and Impersonator Cheaters for Remote Health Monitoring Systems with Wearable Sensors", The 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN2014), 2014.
  30. H. Kalantarian, S. Sarin, N. Alshurafa, M. Pourhomayoun, M. Sarrafzadeh, "Real-Time Acoustic Classification of Food Intake," IEEE EMBS Conference on Healthcare Innovation & Point-of-Care Technologies, 2014.
  31. N. Alshurafa, J. Eastwood, M. Pourhomayoun, S. Nyamathi, J. Liu, R. Li, M. Sarrafzadeh, "A Framework for Predicting Adherence in Remote Health Monitoring Systems," Wireless Health Conf. (WH2014), 2014.
  32. C. Sideris, B. Shahbazi, M. Pourhomayoun, N. Alshurafa, M. Sarrafzadeh, "Using electronic health records to predict severity of condition for congestive heart failure patients", ACM UbiComp Workshop on Smart Health Systems and Applications (SmartHealthSys), 2014.
  33. N. Alshurafa, H. Kalantarian, M. Pourhomayoun, S. Sarin, M. Sarrafzadeh "Non-Invasive Monitoring of Nutrition using Spectrogram Analysis in a Wearable Necklace", IEEE EMBS Conference on Healthcare Innovation & Point-of-Care Technologies, 2014.
  34. B. Mortazavi, M. Pourhomayoun, S. Nyamathi, B. Wu, S. Lee, M. Sarrafzadeh, "Multiple Model Recognition for Near-Realistic Exergaming," IEEE International Conference on Pervasive Computing and Communications (PerCom), 2014 (submitted).
  35. M. Pourhomayoun, M.L. Fowler, Z. Jin, “A Novel Method for Tumor Localization and Tracking in Radiation Therapy,” IEEE Asilomar Conference on Signals, Systems, Monterey, CA, 2012.
  36. M. Pourhomayoun, Z. Jin and M.L. Fowler, “Spatial Sparsity Based Indoor Localization in Wireless Sensor Network for Assistive Healthcare Systems,” 34th IEEE International Conference of the Engineering in Medicine and Biology (EMBC2012), San Diego, CA, 2012.
  37. N. Alshurafa, J. Eastwood, W. Xu, J. Liu, M. Pourhomayoun, M. Sarrafzadeh, "Battery Optimization in Remote Health Monitoring Systems to Enhance User Adherence," International Conference on PErvasive Technologies Related to Assistive Environments (PETRA2014), May 2014.
  38. M. Pourhomayoun, M.L. Fowler and Z. Jin, “A Novel Method for Medical Implant In-Body Localization,” 34th IEEE International Conference of the Engineering in Medicine and Biology (EMBC2012), San Diego, CA, 2012.
  39. M. Pourhomayoun, M.L. Fowler and Z. Jin, “Robustness Analysis of Sparsity Based Tumor Localization under Tissue Configuration Uncertainty” IEEE Signal Processing in Medicine and Biology Symposium (SPMB12), New York, 2012.
  40. M. Pourhomayoun and M. L. Fowler, “Improving WLAN-Based Indoor Mobile Positioning Using Sparsity,” IEEE Asilomar Conference on Signals, Systems and Computers, Nov 2012.
  41. N. Alshurafa, J. Eastwood, M. Pourhomayoun, S. Nyamathi, W. Xu, J. Liu, H. Ghasemzadeh, M. Sarrafzadeh, "Remote Health Monitoring: Predicting Outcome Success based on Contextual Features," 36th IEEE International Conference of the Engineering in Medicine and Biology (EMBC2014), 2014.
  42. M. Pourhomayoun and M.L. Fowler, “Sensor Network Distributed Computation for Direct Position Determination,” IEEE Sensor Array and Multichannel Signal Processing Conference, Jun 2012.
  43. M. Popescu, P. Dugan, M. Pourhomayoun, and C. Clark, “Bioacoustic Periodic Pulse Train Signal Detection and Classification using Spectrogram Intensity Binarization and Energy Projection,” International Conference on Machine Learning (ICML), 2013.
  44. M. Pourhomayoun and M.L. Fowler, “Spatial Sparsity Based Emitter Localization,” IEEE Conference on Information Sciences and Systems (CISS2012), Princeton University, March 2012.
  45. M. Pourhomayoun and M.L. Fowler, “Cramer-Rao Lower Bounds for Estimation of Phase in LBI Based Localization Systems,” IEEE Asilomar Conference on Signals, Systems and Computers, Nov 2012.
  46. M. Pourhomayoun and M.L. Fowler, “De-Noising by Wiener Filter and Wavelet Based Methods for Emitter Localization Systems,” IEEE Conference on Information Sciences and Systems (CISS2012), Princeton University, March 2012.
  47. M. Pourhomayoun and M.L. Fowler, “An SVD Approach for Data Compression in Emitter Location Systems” IEEE Asilomar Conference on Signals, Systems and Computers, Monterey, CA, Nov 2011.
  48. M. Pourhomayoun and M.L. Fowler, “Exploiting Cross Ambiguity Function Properties for Data Compression in Emitter Location Systems,” IEEE Conference on Information Sciences and Systems, Johns Hopkins University, March 2011.
  49. M. Pourhomayoun and M.L. Fowler, “Data compression for complex ambiguity function for emitter location”, Proceedings of SPIE - Mathematics of Data/Image Coding, Compression, and Encryption, 2010.
  50. M. Pourhomayoun and M. DakhilAlian, "Improvement of Communication Protocols between Smart Card and Card Reader using ECC," 15th Iranian Conference on Electrical Engineering, 2007.