2022

  • B. Kutukcu, S. Baidya, A. Raghunathan, and S. Dey. "Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems", accepted in ACM Trans. Embedd. Comput. Syst.    PDF    ACM Digital Library

2021

  • O. N. Tepencelik, W. Wei, L. Chukoskie, P. C. Cosman, S. Dey, "Body and Head Orientation Estimation with Privacy Preserving LiDAR Sensors", 2021 29th European Signal Processing Conference (EUSIPCO). IEEE, 2021.    PDF
  • B. Kutukcu, S. Baidya, A. Raghunathan, S. Dey, "Contention-aware Adaptive Model Selection for Machine Vision in Embedded Systems", in Proc. of 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2021), June 2021.    PDF    IEEE Xplore
  • J. Chen, S. Dey, L. Wang, N. Bi, P. Liu, "Multi-modal Fusion Enhanced Model for Driver's Facial Expression Recognition", 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021.    PDF
  • J. J. Leitner, P. -H. Chiang and S. Dey, "Personalized Blood Pressure Estimation Using Photoplethysmography: A Transfer Learning Approach," in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2021.3085526.    PDF    IEEE Xplore

2020

  • X. Hou and S. Dey, “Motion Prediction and Pre-Rendering at the Edge to Enable Ultra-Low Latency Mobile 6DoF Experiences,” IEEE Open Journal of the Communications Society, vol. 1, pp. 1674-1690, Oct. 2020.    PDF    IEEE Xplore
  • X. Hou, S. Dey, J. Zhang and M. Budagavi, “Predictive Adaptive Streaming to Enable Mobile 360-degree and VR Experiences,” IEEE Transactions on Multimedia, April 2020.    PDF    IEEE Xplore
  • W. Wei, C. McElroy, S. Dey, "Using Sensors and Deep Learning to Enable On-Demand Balance Evaluation for Effective Physical Therapy," IEEE Access, vol. 8, pp. 99889-99899, May 2020.    IEEE Xplore

2019

  • W. Wei, and S. Dey, "Center of Mass Estimation for Balance Evaluation Using Convolutional Neural Networks," Proceedings of the Seventh IEEE International Conference on Healthcare Informatics, Xi'an, China, June 2019, pp. 1-7.    PDF    IEEE Xplore
  • X. Hou, J. Zhang, M. Budagavi and S. Dey, "Head and Body Motion Prediction to Enable Mobile VR Experiences with Low Latency," in Proc. of the 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, Dec. 2019, pp. 1-7.    PDF    IEEE Xplore
  • J. Leitner, P. Chiang and S. Dey, "Personalized Blood Pressure Estimation using Photoplethysmography and Wavelet Decomposition," 2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2019, pp. 1-6.    pdf
  • W. Wei, C. McElroy, S. Dey, "Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation," IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 27, no. 9, pp. 1824-1835, September 2019.     PDF    IEEE Xplore

2018

  • W. Wei, C. McElroy, S. Dey, "Human Action Understanding and Movement Error Identification for the Treatment of Patients with Parkinson’s Disease,"  Proceedings of Sixth IEEE International Conference on Healthcare Informatics, New York City, June 2018, pp. 180-190.    PDF
  • X. Hou, S. Dey, J. Zhang and M. Budagavi, “Predictive View Generation to Enable Mobile 360-degree and VR Experiences,” Proceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Network, Budapest, Hungary, August 2018, pp. 20-26.    PDF    ACM Digital Library

2017

  • P. Chiang, S. Chiluvuri, S. Dey and T. Nguyen, "Forecasting of Solar Photovoltaic System Power Generation using Wavelet Decomposition and Bias-compensated Random Forest," in Proc. of the 9th Annual IEEE Green Technologies Conference (GreenTech), Denver, CO, Mar. 2017, pp. 260-6.    PDF    IEEE Xplore
  • W. Wei, Y. Lu, E. Rhoden, S. Dey, "User Performance Evaluation and Real-Time Guidance in Cloud-Based Physical Therapy Monitoring and Guidance System," Springer Multimedia Tools and Applications, November 2017, pp. 1-31.    PDF    Springer Link

2016

  • C. Verma, S. Bhatkar, M. Hart, A. Parker-Wood, S. Dey, "Improving Scalability of Personalized Recommendation Systems for Enterprise Knowledge Workers". IEEE Access,Jan. 2016.    IEEE Xplore

2015

  • C. Verma, S. Bhatkar, M. Hart, A. Parker-Wood, S. Dey, "Access prediction for knowledge workers in enterprise data repositories". in Proc. of International Conference on Enterprise Information Systems (ICEIS), Barcelona, Spain, Apr. 2015. Nominated for best student paper award     PDF
  • C. Verma, V. Mahadevan, N. Rasiwasia, G. Aggarwal, R. Kant, A. Jaimes and S. Dey, "Construction and Evaluation of Ontological Tag Trees". Elsevier Expert Systems and Applications VOL.42, NO.24, Dec. 2015.    PDF    Science Direct
  • Y. Liu, S.Dey, F. Ulupinar, M. Luby, Y. Mao, "Deriving and Validating User Experience Model for DASH Video Streaming", IEEE Transactions on Broadcasting, Volume PP, Issue 99, Aug. 2015.    PDF
  • C. Verma and S. Dey, "Methods to Obtain Training Videos for Fully Automated Application-Specific Classification". IEEE Access, pp.1188 - 1205, Jul. 2015.    PDF ,    IEEE Xplore
  • D. Shen, Y. Lu, S. Dey, "Motion Data Alignment and Real-Time Guidance in Avatar Based Physical Therapy Training System,"  Proceedings of Seventeenth IEEE International Conference on E-health Networking, Application & Services , Boston, MA, October 2015, pp. 238-244.    PDF
  • W. Wei, Y. Lu, C. Printz, S. Dey, "Motion Data Alignment and Real-Time Guidance in Cloud-Based Virtual Training System,"  Proceedings of ACM conference on Wireless Health, Bethesda, MD, October 2015, p. 13.    PDF    ACM Digital Library

2014

  • C. Verma, V. Mahadevan, N. Rasiwasia, G. Aggarwal, R. Kant, A. Jaimes and S. Dey, "Construction of Tag Ontological Graphs by Locally Minimizing Weighted Average Hops", in ACM World Wide Web (WWW poster), Apr. 2014    PDF

2013

  • C. Verma and S. Dey, "Fully Automated Categorization or Internet Videos to Application Specific Categories", in Proc. of , IEEE/WIC/ACM International Conference on Web Intelligence, Atlanta, Nov. 2013    PDF
  • Y. Liu, S. Dey, D. Gillies, F. Ulupinar and M. Luby, "User Experience Modeling for DASH Video", in Proc. of Packet Video Workshop (PV2013), San Jose, Dec. 2013.    PDF