Journal Articles

  1. L. Jiang, and S. Ostadabbas, “SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation”, May 2023. [arXiv preprint at arXiv][Code] (In Review)
  2. S. Liu, M. Wan, and S. Ostadabbas, “Heuristic Weakly Supervised 3D Human Pose Estimation,” 2023. [arXiv preprint at arXiv][Code] (In Review)
  3. X. Bai, L. Jiang, Y. Luo, A. Gupta, P. Kaveti, H. Singh, and S. Ostadabbas, “Bridging the domain gap between synthetic and real-world data for autonomous driving,” 2023. [arXiv preprint at arXiv][Code] (In Review)
  4. S. Liu and S. Ostadabbas, “Pressure eye: In-bed contact pressure estimation via contact-less imaging,” Medical Image Analysis, Jul. 2023. [Code]
  5. L. Duncan, S. Zhu, M. Pergolotti, S. G. Giri, S. Ostadabbas, and A. Mirbozorgi, “Camera-based short physical performance battery and timed up and go assessment for older adults with cancer,” Transactions on Biomedical Engineering (TBME), Mar. 2023.
  6. R. Saha, L. Jiang, H. Salsabili, M. Faezipour, S. Ostadabbas, B. M. Larimer, and A. Mirbozorgi, “Toward a smart sensing system to monitor small animals physical state via multi-frequency resonator array,” IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), May 2023.
  7. S. Zhu, S. M. Ismail Hosni, X. Huang, M. Wan, S. B. Borgheai, M. John, Y. Shahriari, and S. Ostadabbas, “A dynamical graph-based feature extraction approach to enhance mental task classification in brain-computer interfaces,” Computers in Biology and Medicine,  Jan. 2023.
  8. A. Farnoosh⋆ and S. Ostadabbas, “Dynamical deep generative latent modeling of 3d skeletal motion,” International Journal of Computer Vision (IJCV), Aug. 2022.
  9. S. Kar, D. Hejazi⋆, N. Kari Rezapour, J. Ferrier, and S. Ostadabbas, “Dispersion-free highly accurate color recognition using excitonic 2d materials and machine learning,” Materials Today, Aug. 2022.
  10. S. M. Ismail Hosni, S. B. Borgheai, M. John, S. Zhu⋆, X. Huang⋆, S. Ostadabbas, and Y. Shahriari, “A graph-based nonlinear dynamic characterization of motor imagery toward an enhanced hybrid bci,” Neuroinformatics, Jul. 2022.
  11. J. Mak, X. Huang⋆, D. Kocanaogullari, M. Shih, E. Skidmore, G. Wittenberg, S. Ostadabbas, and M. Akcakaya, “Detection of stroke-induced visual neglect and target response prediction using augmented reality and electroencephalography,” IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE), Jun. 2022.
  12. L. Jiang⋆, C. Lee⋆, D. Teotia⋆, and S. Ostadabbas, “Animal pose estimation: A closer look at the state-of-the-art, existing gaps and opportunities,” Computer Vision and Image Understanding, 2022.
  13. Z. Khan, Y. Wang, E. Sennesh, J. Dy, S. Ostadabbas, J.-W. van de Meent, J. B. Hutchinson, and A. Satpute, “A computational neural model for mapping degenerate neural architectures,” Neuroinformatics, 2022.
  14. S. Liu, X. Huang, N. Fu, C. Li, Z. Su, and S. Ostadabbas, “Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [arXiv preprint at arXiv][Code]
  15. D. Teotia, A. Lapedriza, and S. Ostadabbas, “Interpreting face inference models using hierarchical network dissection,” International Journal of Computer Vision (IJCV), 2022. [arXiv preprint at arXiv][Code]
  16. A. Farnoosh, S. Ostadabbas, “Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion,” International Journal of Computer Vision (IJCV), 2022. [arXiv preprint at arXiv][Code]
  17. S. Liu, N. Sehgal, S. Ostadabbas, “Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data,” Applied Intelligence, 2022. [arXiv preprint at arXiv][Code]
  18. A. Farnoosh, B. Rezaei, E. Sennesh, Z. Khan, J, Dy, A. Satpute, J. Hutchinson, J. van de Meent, S. Ostadabbas, “Deep Markov Spatio-Temporal Factorization,” 2022. [arXiv preprint at arXiv][Code]
  19. S. Liu, X. Huang⋆, L. Marcenaro, and S. Ostadabbas, “Privacy-preserving in-bed human pose estimation: High- lights from the ieee video and image processing cup 2021 student competition,” IEEE Signal Processing Magazine, 2022.
  20. A. Farnoosh, Z. Wang, S. Zhu, and S. Ostadabbas, “A Bayesian Dynamical Approach for Human Action Recognition,” Sensors, 2021. [Code]
  21. R. Bokade, A. Navato, R. Ouyang, X. Jin, C. Chou, S. Ostadabbas, A. V. Mueller, “A Cross-Disciplinary Comparison of Multimodal Data Fusion Approaches and Applications: Accelerating Learning Through Trans-Disciplinary Information Sharing,” Expert Systems with Applications, Aug 2020.
  22. D. Hejazi, S. Liu, A. Farnoosh, S. Ostadabbas, S. Kar, “Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms,” Machine Learning: Science and Technology, May 2020. [arXiv preprint at arXiv][Code]
  23. A. Khalaf, M. Nabian, M. Fan, Y. Yin, J. Wormwood, E. Siegel, K. Quigley, Lisa Feldman Barrett, M. Akcakaya, C. Chou, S. Ostadabbas, “Analysis of Multimodal Physiological Signals Within and Across Individuals to Predict Psychological Threat vs. Challenge,” Expert Systems with Applications, Feb 2020. [PsyArXiv preprint at PsyArXiv]
  24. B. Rezaei, Y. Christakis, B. Ho, K. Thomas, K. Erb, S. Ostadabbas, S. Patel, “Target-Specific Action Classification for Automated Assessment of  Human Motor Behavior from Video,” Sensors, Sep 2019. [arXiv preprint at arXiv][Code]
  25. D. Hejazi, S. Liu, S. Ostadabbas, S. Kar, “Bayesian Inference-enabled Precise Optical Wavelength Estimation using Transition Metal Dichalcogenide Thin Films,” ACS Applied Nano Materials, vol. 2, no. 7, pp. 4075-4084, July 2019.
  26. S. Liu, Y. Yin, S. Ostadabbas, “In-Bed Pose Estimation: Deep Learning with Shallow Dataset,”  Journal of Translational Engineering in Health and Medicine (JTEHM), vol. 7, no. 1, pp. 1-12, Jan. 2019. [arXiv preprint at arXiv] [Code]
  27. N. Dawar, S. Ostadabbas, and N. Kehtarnavaz, “Data Augmentation in Deep Learning-Based Fusion of Depth and Inertial Sensing for Action Recognition,” Multimodal Data Fusion (MMDF) Special Issue, IEEE Sensors Letters, vol. 3, no. 1, pp. 1-4, Jan. 2019.
  28. C. Chou, X. Jin, A. Mueller, and S. Ostadabbas, “Multimodal Data Fusion–Moving from Domain-Specific Algorithms to Trans-Domain Understanding for Accelerated Solution Development,” Multimodal Data Fusion (MMDF) Special Issue, IEEE Sensors Letters, vol. 3, no. 1, pp. 1-4, Jan. 2019.
  29. M. Nabian, Y. Yin, J. Wormwood, K. Quigley, L. Barrett, S. Ostadabbas, “An Open-Source Feature Extraction Tool for the Analysis of Peripheral Physiological Data,” Journal of Translational Engineering in Health and Medicine (JTEHM), vol. 6, Oct. 2018. [Code]
  30. B. Rezaei, S. Ostadabbas, “Moving Object Detection through Robust Matrix Completion Augmented with Objectness,” IEEE Journal of Selected Topics in Signal Processing (J-STSP), vol. 12, no. 6, pp. 1313-1323, Dec. 2018. [Code]
  31. S. Ostadabbas, S. N. Housley, N. Sebkhi, K. Richards, D. Wu, Z. Zhang, M. G. Rodriguez, L. Warthen, C. Yarbrough, S. Balagaje, A. J. Butler, M. Ghovanloo, “Tongue-controlled robotic rehabilitation: A feasibility study in people with stroke,” Journal of Rehabilitation Research & Development (JRRD), vol. 53, no. 6, pp. 989–1006, 2016.
  32. S. Ostadabbas, N. Sebkhi, M. Zhang, S. Rahim, L. J. Anderson, F. Lee, M. Ghovanloo, “A Vision-Based Respiration Monitoring System for Passive Airway Resistance Estimation,” IEEE Transactions on Biomedical Engineering (TBME), vol. 63, no. 9, pp. 1904-1913, Sep. 2016.
  33. S. Ostadabbas, M. Ghovanloo, A. J. Butler, “Developing A Tongue Controlled Exoskeleton for a Wrist Tracking Exercise: A Preliminary Study,” Journal of Medical Devices, vol. 9, no. 3, pp. 030912, Sep. 2015.
  34. S. Ostadabbas, M. Nourani, R. Yousefi, M. Pompeo, “A Knowledge-Based Modeling for Plantar Pressure Image Reconstruction,” IEEE Transactions on Biomedical Engineering (TBME), vol. 61, no. 10, pp. 2538-2549, Oct. 2014.
  35. R. Yousefi, M. Nourani, S. Ostadabbas, I, Panahi, “A Motion-Tolerant Adaptive Algorithm for Wearable Photoplethysmographic Biosensors,” IEEE Transactions on Information Technology in BioMedicine (TITB), pp. 670-68, vol 18, no. 2, March 2014.
  36. S. Ostadabbas, R. Yousefi, M. Nourani, M. Faezipour, L. Tamil, M. Pompeo, “A Resource-Efficient Planning for Pressure Ulcer Prevention,“IEEE Transactions on Information Technology in BioMedicine (TITB), pp. 1265-1273, vol 16, no. 6, Nov 2012.
  37. H. Ghasemzadeh, S. Ostadabbas, E. Guenterberg, A. Pantelopoulos, “Wireless Medical Embedded Systems: A Review of Signal Processing Techniques for Classification,” IEEE Sensors Journal (SJ), pp. 423-437, vol 13, no. 2, Feb. 2013. (RANKED TOP 20 ACCESSED ARTICLES IN JAN, FEB, AND MAR 2013)
  38. H. Ghasemzadeh, V. Loseu, S. Ostadabbas, R. Jafari, “Burst Communication by Means of Buffer Allocation in Body Sensor Networks: Exploiting Signal Processing to Reduce the Number of Transmissions,” IEEE Journal on Selected Areas in Communications Special Issue on Simple Wireless Sensor Networking Solutions (JSAC), pp. 1073-1082, vol 28, no. 7, Sep. 2010.

Conference/Workshop Papers

  1. M. Wan, X. Huang, B. Tunik, and S. Ostadabbas, “Automatic assessment of infant face and upper-body symmetry as early signs of torticollis,” in FG 2023 workshop on Artificial Intelligence for Automated Human Health-care and Monitoring, Jan. 2023. [arXiv preprint at arXiv][Code]
  2. X. Huang, L. Luan, E. Hatamimajoumerd, M. Wan , P. DaneshvarKakhaki, R. Obeid, and S. Ostadabbas, “Posture-based Infant Action Recognition in the Wild with Very Limited Data,” in CVPR Workshop on Learning with Limited Labelled Data (CVPRW), Jun. 2023. [Code]
  3. S. Zhu , M. Wan, E. Hatamimajoumerd, C. V. Kamath, K. Jain, S. Zlota, E. Grace, C. Rowan, M. Goodwin, R. Schwartz-Mette, E. Zimmerman, M. Hayes, and S. Ostadabbas, “A video-based end-to-end pipeline for non- nutritive sucking action recognition and segmentation in young infants,” in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 2023. [arXiv preprint at arXiv][Code]
  4. X. Bai, Y. Luo⋆, L. Jiang, A. Gupta, P. Kaveti, H. Singh, and S. Ostadabbas, “An Evaluation Platform to Scope Performance of Synthetic Environments in Autonomous Ground Vehicles Simulation,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [Code]
  5. D. Kocanaogullari, J. Mak, X. Huang, E. Grattan, S. Ostadabbas, G. Wittenberg, and M. Akcakaya, “Visual reaction time prediction in stroke patients with spatial neglect,” in 11th International IEEE EMBS Conference on Neural Engineering (NER), 2023.
  6. L. Jiang, S. Liu, X. Bai, and S. Ostadabbas, “Prior-aware synthetic data to the rescue: Animal pose estimation with very limited real data,” in The British Machine Vision Conference (BMVC), Nov. 2022. [arXiv preprint at arXiv][Code]
  7. X. Huang, M. Wan, L. Luan⋆, B. Tunik, and S. Ostadabbas, “Computer vision to the rescue: Infant postural symmetry estimation from incongruent annotations,” in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan. 2023. [arXiv preprint at arXiv][Code]
  8. X. Huang, S. Liu , M. Wan , N. Fu , B. Modayur, D. L. Pino, and S. Ostadabbas, “Appearance-independent pose-based posture classification in infants,” in Workshop at the International Conference on Pattern Recognition (ICPRW), Aug. 2022. [Code]
  9. M. Wan, S. Zhu, L. Luan, P. Gulati, X. Huang⋆, R. Schwartz-Mette, M. Hayes, E. Zimmerman, and S. Ostadabbas, “InfAnFace: Bridging the infant–adult domain gap in facial landmark estimation in the wild,” in 26TH International Conference on Pattern Recognition (ICPR), (accepted for oral presentation), Aug. 2022. [arXiv preprint at arXiv][Code]
  10. A. Farnoosh and S. Ostadabbas, “Deep Markov Factor Analysis: Towards concurrent temporal and spatial analysis of fMRI data,” in Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021. [Code]
  11. X. Huang, N. Fu, S. Liu, S. Ostadabbas, “Invariant representation learning for infant pose estimation with small data,” in IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021, Dec. 2021. [arXiv preprint at arXiv][Code]
  12. K. Vyas, L. Jiang, S. Liu, and S. Ostadabbas, “An efficient 3D synthetic model generation pipeline for human pose data augmentation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) Workshops, Jun. 2021, pp. 1542–1552. [Code]
  13. A. Farnoosh, B. Azari, S. Ostadabbas, “Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting,” The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI’21). February 2-9, 2021, Virtual. [arXiv preprint at arXiv][Code]
  14. A. Farnoosh, S. Ostadabbas, “Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation,” 2020. [arXiv preprint at arXiv][Code]
  15. B. Rezaei, A. Farnoosh, S. Ostadabbas, “DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences,” The Third International Workshop on Deep Learning for Pattern Recognition (DLPR20), in conjunction with the 25th International Conference on Pattern Recognition (ICPR’20), Jan 15, 2021, Virtual. [arXiv preprint at arXiv] [Code]
  16. B. Rezaei, A. Farnoosh, and S. Ostadabbas, “G-LBM: Generative Low-dimensional Background Model Estimation from Video Sequences,” 16th European Conference on Computer Vision (ECCV’20), August 23-28,  2020, Virtual. [arXiv preprint at arXiv][Code]
  17. D. Kocanaogullari, J. Mak, J. Kersey, A. Khalaf, S. Ostadabbas, G. Wittenberg, E. Skidmore, M. Akcakaya, “EEG-based Neglect Detection for Stroke Patients,” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’20), Jul 20-24, 2020, Montreal, Canada.
  18. D. Hejazi, S. Liu, A. Farnoosh, S. Ostadabbas, S. Kar, “Nanomaterials-based Color-Detection via Machine-Learning Algorithms,” American Physical Society (APS) March Meeting, March 2-6, 2020, Denver, Colorado, USA.
  19. X. Huang, B. Rezaei and S. Ostadabbas, “AH-CoLT: An AI-Human Co-Labeling Toolbox to Augment Efficient Groundtruth Generation,” IEEE International Workshop on Machine Learning for Signal Processing (MLSP’19), October 13-16, 2019, Pittsburgh, PA, USA. [Code]
  20. K. Vyas, R. Ma, B. Rezaei, S. Liu, T. Ploetz, R. Oberleitner and S. Ostadabbas, “Recognition of Atypical Behavior in Autism Diagnosis from Video using Pose Estimation Over Time,” IEEE International Workshop on Machine Learning for Signal Processing (MLSP’19), October 13-16, 2019, Pittsburgh, PA, USA. [Code]
  21. S. Liu, S. Ostadabbas, “Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation,” 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’19), October 13-17, 2019, Shenzhen, China. [arXiv preprint at arXiv][Code]
  22. A. Farnoosh, S. Ostadabbas, “Introduction to Indoor GeoNet,” CVPR2019 Workshop on on 3D Scene Understanding for Vision, Graphics, and Robotics, June 16-20t, 2019, Long Beach, CA, USA. [Code]
  23. X. Huang, A. Martens, E. Zimmerman, S. Ostadabbas, “Infant Contact-less Non-Nutritive Sucking Pattern Quantification via Facial Gesture Analysis,” CVPR2019 Workshop on Augmented Human (VUHCS2019), June 16-20t, 2019, Long Beach, CA, USA. [arXiv preprint at arXiv][Code]
  24. D. Hejazi, S. Ostadabbas, S. Kar, “Wavelength Estimation of Light Source via Machine Learning Techniques using Low Cost 2D Layered Nano-material Filters,” American Physical Society (APS) March Meeting, March 4-8, 2019, Boston, MA, USA.
  25. S. B. Borgheai, R. Jafari Deligani, J. McLinden, M. Abtahi, S. Ostadabbas, K. Mankodiya, Y. Shahriari, “Multimodal Evaluation of Mental Workload Using a Hybrid EEG-fNIRS Brain-Computer Interface System,” 9th International IEEE/EMBS Conference on Neural Engineering (NER), March 20-23, 2019, San Francisco, CA, USA.
  26. S. Liu, S. Ostadabbas, “A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines,” 9th International Workshop on Human Behavior Understanding: at the European Conference on Computer Vision (ECCV’18), September 8-14, 2018, Munich, Germany. [arXiv preprint at arXiv][Code][Dataset]
  27. S. Liu, S. Ostadabbas, “Inner Space Preserving Generative Pose Machine,” 15th European Conference on Computer Vision (ECCV’18), September 8-14, 2018, Munich, Germany.[arXiv preprint at arXiv][Code][Video1][Video2]
  28. Y. Yin, M. Nabian, M. Fan, C. Chou, M. Gendron, S. Ostadabbas, “Facial Expression and Peripheral Physiology Fusion to Decode Individualized Affective Experience,” 2nd Affective Computing Workshop of the 27th International Joint Conference on Artificial Intelligence (IJCAI’18), Proceedings of Machine Learning Research (PMLR), pp. 9-25, July 13-19, 2018, Stockholm, Sweden. [arXiv preprint at arXiv][Code][Video]
  29. A. Farnoosh, M. Nabian, P. Closas, S. Ostadabbas, “First-Person Indoor Navigation via Vision-Inertial Data Fusion,” IEEE/ION PLANS Conference, pp. 1213-1222, April 23-26, 2018, Monterey, CA, USA. [app][Code]
  30. M. Nabian., A. Nouhi, Y. Yin, and S. Ostadabbas, “A Biosignal-Specific Processing Tool for Machine Learning and Pattern Recognition,” IEEE-NIH Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies (HI-POCT’17), pp. 76-80, November 6-8, 2017, Bethesda, MD, USA. [Code]
  31. B. Dunbar, J. Hynes-Bruell, E. Shi, G. Moo, B. Wisheart, T. Kolongowski, A. Farnoosh, B. Shafai, and S. Ostadabbas, “Augmenting Human Spatial Navigation via Sensory Substitution,” 2017 IEEE MIT URTC (Undergraduate Research Technology Conference), pp. 1-4, November 3-5, Cambridge, MA, USA.
  32. S. Liu, S. Ostadabbas, “A Vision-Based System for In-Bed Posture Tracking,” Proceedings of the IEEE International Conference on Computer Vision (ICCV/ACVR’17), pp. 1373-1382, October 28th, 2017, Venice, Italy. [Code]
  33. B. Rezaei, S. Ostadabbas, “Background Subtraction via Fast Robust Matrix Completion,” Proceedings of the IEEE International Conference on Computer Vision (ICCV/RSL-CV’17), pp. 1871-1879, October 28th, 2017, Venice, Italy. [arXiv preprint at arXiv] [Code]
  34. A. Farnoosh, M. Nourani, S. Ostadabbas, “Spatially-Continuous Plantar Pressure Reconstruction Using Compressive Sensing,” Proceedings of the 2nd Machine Learning for Healthcare Conference (MLHC’17), in Journal of Machine Learning Research (JMLR) Track, Volume 68, August 18–19, 2017, Boston, MA. [Code]
  35. M. Heydarzadeh, M. Nourani, C. Tan, S. Ostadabbas, “Gait Variability Assessment in Neuro-Degenerative Patients by Measuring Complexity of Independent Sources,” 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17), pp. 3186-3189, July 11-15, 2017, Jeju Island, Korea.
  36. M. Heydarzadeh, M. Nourani, S. Ostadabbas, “Gaits Analysis Using Pressure Image for Subject Identification,” IEEE International Conference on Biomedical and Health Informatics (BHI’17), pp. 333-336, February 16-19, 2017, Orlando, Florida, USA.
  37. M. Baran Pouyan, J. Birjandtalab, M. Nourani, S. Ostadabbas, “A Pressure Map Dataset for Posture and Subject Analytics,” IEEE International Conference on Biomedical and Health Informatics (BHI’17), pp. 65-68, February 16-19, 2017, Orlando, Florida, USA.
  38. B. Rezaei, X. Huang, J. Yee, S. Ostadabbas, “Long-Term Non-Contact Tracking of Caged Rodents,” 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’17), pp. 1952-1956, March 5-9, 2017, New Orleans, USA.
  39. M. S. Perez-Rosero, B. Rezaei, M. Akcakaya, S. Ostadabbas, “Decoding Emotional Experiences through Physiological Signal Processing,” 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’17), pp. 881-885, March 5-9, 2017, New Orleans, USA.
  40. B. Rezaei, J. Lowe, J. Yee, S. Porges, S. Ostadabbas, “Non-Contact Automatic Respiration Monitoring in Restrained Rodents,” IEEE Engineering in Medicine and Biology Society (EMBC’16), pp. 4946-4950, August 16-20, 2016, Buena Vista (Orlando), Florida, USA.
  41. Heydarzadeh, M. Nourani, S. Ostadabbas, “In-Bed Posture Classification Using Deep Autoencoders,” IEEE Engineering in Medicine and Biology Society (EMBC’16), pp. 3839-3842, August 16-20, 2016, Buena Vista (Orlando), Florida, USA.
  42. Z. Zhang, S. Ostadabbas, M. N. Sahadat, N. Sebkhi, M. Ghovanloo, “Enhancements on A Tongue-Operated Robotic Rehabilitation System,” 11th IEEE Biomedical Circuits and Systems Conference (BioCAS’15), October 22-24, 2015, Atlanta, GA, USA.
  43. M. N. Sahadat, Z. Zhang, A. Alreja, P. Srikrishnan, S. Ostadabbas, N. Sebkhi, M. Ghovanloo, “Live demonstration: A tongue-operated multimodal human computer interface and robotic rehabilitation system,” 11th IEEE Biomedical Circuits and Systems Conference (BioCAS’15), October 22-24, 2015, Atlanta, GA, USA.
  44. S. Ostadabbas, M. Baran Pouyan, M. Nourani, Nasser Kehtarnavaz, “In-Bed Posture Classification and Limb Identification,” 10th IEEE Biomedical Circuits and Systems Conference (BioCAS’14), pp. 133-136, October 22-24, 2014, Lausanne, Switzerland.
  45. S. Ostadabbas, C. Bulach, D. Ku, L. Anderson, M. Ghovanloo, “A Passive Quantitative Measurement of Airway Resistance using Depth Data,” 36th Annual IEEE Engineering in Medicine and Biology Society Conference (EMBC’14), pp. 5743-5747, August 26-30, 2014, Chicago, Illinois, USA.
  46. M. Baran Pouyan, S. Ostadabbas, M. Nourani, M. Pompeo, “Classifying Bed Inclination Using Pressure Image,” 36th Annual IEEE Engineering in Medicine and Biology Society Conference (EMBC’14), pp. 4663-4666, August 26-30, 2014, Chicago, Illinois, USA.
  47. M. Baran Pouyan, R. Yousefi, S. Ostadabbas, M. Nourani,  “A Hybrid Fuzzy-Firefly Approach for Rule-Based Classification,” 27th International Conference of the Florida Artificial Intelligence Research Society (FLAIRS-27), pp. 357-362, May 21–23, 2014, Pensacola Beach, Florida, USA.
  48. M. Baran Pouyan, S. Ostadabbas, M. Farshbaf, R.Yousefi, M. Nourani, M. Pompeo, “Continuous Eight-Posture Classification for Bed-Bound Patients,” 6th International Conference on BioMedical Engineering and Informatics (BMEI’13), pp. 122–127, Dec 16-18, 2013,  Hangzhou, China.
  49. M. Farshbaf, R.Yousefi, M. Baran Pouyan, S. Ostadabbas, M. Nourani, M. Pompeo, “Detecting High-Risk Regions for Pressure Ulcer Risk Assessment,” IEEE International Conference on Bioinformatics and Biomedicine (BIBM’13), pp. 255–260, Dec 18-21, 2013, Shanghai, China.
  50. S. Ostadabbas, M. Nourani, M. Pompeo, “Continuous Plantar Pressure Modeling Using Sparse Sensors,” 12nd IEEE International Conference on Bioinformatics and Bioengineering (BIBE’12), pp. 309-314, November 11-13, 2012, Larnaca, Cyprus.
  51. S. Ostadabbas, A. Saeed, M. Nourani, M. Pompeo, “Sensor Architectural Tradeoff for Diabetic Foot Ulcer Monitoring,” 34rd Annual IEEE Engineering in Medicine and Biology Society Conference (EMBC’12), pp. 6687-6690, August 28-September 1, 2012, San Diego, California, USA.
  52. M. Farshbaf, S. Ostadabbas, R. Yousefi, M. Nourani, M. Pompeo, “Pressure Ulcer Monitoring and Intervention: A Software Platform,” IEEEInternational Conference on Bioinformatics and Biomedicine (BIBM’11), pp. 897-898, November 12-15, 2011, Atlanta, GA, USA.
  53. S. Ostadabbas, R. Yousefi, M. Nourani, M. Faezipour, L. Tamil, M. Pompeo, “A Posture Scheduling Algorithm Using Constrained Shortest Path to Prevent Pressure Ulcers,” IEEE International Conference on Bioinformatics and Biomedicine (BIBM’11), pp. 327-332, November 12-15, 2011, Atlanta, GA, USA.
  54. R. Yousefi, S. Ostadabbas, M. Faezipour, M. Nourani, V. Ng, L. Tamil, A. Bowling, D. Behan, M. Pompeo, “A Smart Bed Platform for Monitoring & Ulcer Prevention,” 4th IEEE International Conference on Biomedical Engineering and Informatics (BMEI’11), pp. 1373–1377, October 15-17, 2011, Shanghai, China.
  55. S. Ostadabbas, M. Farshbaf, M. Nourani, S. Addepalli, “Layered Semi-Markov Road Generation for Driving  Simulation,” 14th International IEEE Conference on Intelligent Transportation  Systems (ITSC’11), pp. 365-370, October 5-7, 2011, Washington, DC, USA.
  56. R. Yousefi, S. Ostadabbas, M. Faezipour, M. Farshbaf, M. Nourani, L. Tamil, M. Pompeo, “Bed Posture Classification for Pressure Ulcer Prevention,” 33rd Annual IEEE Engineering in Medicine and Biology Society Conference (EMBC’11), pp. 7175-7178, August 30-September 4, 2011, Boston, Massachusetts, USA.
  57. R. Yousefi, S. Ostadabbas, M. Faezipour, M. Nourani, L. Tamil, M. Pompeo, ”Posture and Limb Detection for Pressure Ulcer Prevention,” in Proceedings of the Southern Biomedical Engineering Conference (SBEC’11), May 2011, Arlington, TX, USA.
  58. S. Ostadabbas, R. Yousefi, M. Faezipour, M. Nourani, M. Pompeo, “Pressure Ulcer Prevention: An Efficient Turning Schedule for Bed-Bound Patients,” IEEE-NIH Life Science Systems and Applications Workshop (LiSSA’11), pp. 159-162, April 2011, Washington, DC, USA.
  59. S. Ostadabbas, R. Jafari, “Spectral Spatio-Temporal Template Extraction of EEG Signals,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’10), pp. 4678-4682, August 31 – September 4, 2010, Buenos Aires, Argentina.
  60. V. Loseu, H. Ghasemzadeh, S. Ostadabbas, N. Raveendranathan, J. Malan, R. Jafari, “Applications of Sensing Platforms in Body Sensor Networks,” Light-weight Signal Processing for Computationally Intensive BSN Applications, Workshop affiliated with PETRA, June, 2010, Samos, Greece.
  61. H. Ghasemzadeh, E. Guenterberg, S. Ostadabbas, R. Jafari, “A Motion Sequence Fusion Technique Based on PCA for Activity Analysis in Body Sensor Networks,” 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’09), pp. 3146-3149, September 2009, Minneapolis, MN, USA.
  62. E. Guenterberg, S. Ostadabbas, R. Jafari, “An Automatic Segmentation Technique in Body Sensor Networks Based on Signal Energy,” The Fourth International Conference on Body Area Networks (BodyNets), April 1st-3rd, 2009, Los Angeles, CA, USA.
  63. S. Ostadabbas, M. Haeri, “Computational Complexity Reduction of an Adaptive Congestion Control in Active Queue Management,” IEEE International Conference on Networking, Sensing and Control (ICNSC), pp. 3743-3747, 2008, Sanya, China.
  64. N. Sadati, A. Ghaffarkhah, S. Ostadabbas, “A New Neural Network Based FOPID Controller,” IEEE International Conference on Networking, Sensing and Control (ICNSC), pp. 762-767, 2008, Sanya, China.
  65. S. Ostadabbas, M. Haeri, “Direct-DMC for AQM Computational Complexity Reduction in TCP/IP Networks,” International Conference on Control, Automation and Systems (ICCAS), pp. 1270-1273, 2007, Seoul, South Korea.
  66. S. Ostadabbas, M. Haeri, “Adaptive Congestion Estimation and Control in Active Queue Management,” International Conference on Control, Automation and Systems (ICCAS), pp. 3743-3747, 2007, Seoul, South Korea.

Posters/Presentations/Technical Reports

  1. R. Josyula, S. Ostadabbas, “A Review on Human Pose Estimation,” Oct 2021. [arXiv preprint at arXiv]
  2. Y. Yin, S. Ostadabbas, “Affective Pose: Facial & Physiology Expression of Emotion,” MS Thesis, Northeastern University, December 2018.
  3. A. Adigwe, N. Tits, K. El Haddad, S. Ostadabbas, T. Dutoit, “The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems,”6th International Conference on Statistical Language and Speech Processing (SLSP’18), October 15-16, 2018, Mons, Belgium. [arXiv preprint at arXiv][Database]
  4. C. Chou, X. Jin, A. Mueller, S. Ostadabbas, “MMDF2018 Workshop Report,” August 2, 2018. [preprint at HAL][arXiv preprint at arXiv]
  5. C. Nielson, M. Nabian, Y. Yin, J. Wormwood, D. DeSteno, L. Feldman Barrett, K. Quigley, S. Ostadabbas, “Extracting Facial Synchrony from Videos of Naturalistic Dyadic Interaction,” abstract and poster presentation at 2018 annual conference of the Society for Affective Science (SAS), Angeles, April 26-28, 2018.
  6. J. Loepke, B. Rezaei, S. Ostadabbas, “The Effect of Gender in Virtual Reality Affective Interaction,” abstract and poster presentation at 2017 annual conference of the Society for Affective Science (SAS), Boston, April 27-29, 2017.
  7. K. Hoemann, B. Rezaei, S. C. Marsella, S. Ostadabbas, “Using Virtual Humans to Understand Real Ones,” Northeastern 2016. [arXiv preprint at arXiv]
  8. M. S. Perez-Rosero, B. Rezaei, M. Akcakaya, S. Ostadabbas, “Decoding Emotional Experiences through Physiological Signal Processing,” Northeastern 2016. [arXiv preprint at arXiv]
  9. A. Nouhi, S. Ostadabbas, “Developing a Biosignal-Specific Processing Pipeline in MATLAB,” Technical report and open-source code, 2016. [available at MATLAB File Exchange]
  10. B. Rezaei, J. Lowe, S. Ostadabbas, “Non-Contact Automatic Respiration Monitoring in Restrained Rodents,” presented at the Northeastern Research, Innovation, and Scholarship Expo (RISE), Thursday, April 7, 2016, Northeastern University, Boston, MA, USA.
  11. M. S. Perez Rosero, S. Ostadabbas, “From Biomedical Signals to Emotion Experience,” presented at the Northeastern Research, Innovation, and Scholarship Expo (RISE), Thursday, April 7, 2016, Northeastern University, Boston, MA, USA.
  12. J. McLean, S. Ostadabbas, “A Vision-Based Approach for Automatic Detection of Pressure Ulcer High Risk Areas,” presented at the Northeastern Research, Innovation, and Scholarship Expo (RISE), Thursday, April 7, 2016, Northeastern University, Boston, MA, USA.
  13. Garcia Rodriguez M, Warthen L, Yarbrough C, Housley S, Grundy K, 1Scott M, Yavad A, Richards K, Wu D, Ostadabbas S, Ghovanloo M, Butler A, “Improved Upper Extremity Function In Stroke Patients Using the Tongue Drive System and Hand Mentor: A Preliminary Study,”  IV STEP Conference, July 14-19, 2016, Ohio State University, Columbus, OH, USA.
  14. S. Ostadabbas, “Pressure Ulcer Prevention: Modeling, Sensing and Feedback,”Invited Speaker,University of Bridgeport, February 2015, Bridgeport, CT, USA.
  15. S. Ostadabbas, J. Kim, D. Wu, K. Richards, A. J. Butler, M. Ghovanloo, “Harnessing tongue movement to decrease RMSE in wrist tracking exercise using exoskeletal assistance,” Neuroscience’14, November 15, 2014, Washington, DC, USA.
  16. S. Ostadabbas,”A monitoring platform for pressure ulcer prevention: Modeling, sensing and feedback,” PhD Dissertation, The University of Texas at Dallas, Dallas, TX, USA, May 2014.
  17. S. Ostadabbas, R. Yousefi, M. Nourani, M. Pompeo, “Cost-Optimal Patient-Specific Turning Schedule,” National Pressure Ulcer Advisory Panel’s (NPUAP) 13th Biennial Conference, February 22-23, 2013, Houston, TX, USA. (Best Poster Award)
  18. S. Ostadabbas, “Tales from the Trenches: A Collaboration on Pressure Ulcer Prevention Research,” IEEE Healthcare Innovation Conference, November 7, 2012, Houston, TX, USA.
  19. S. Ostadabbas, M. Nourani,  “Using Sparse Sensors for In-shoe Plantar Pressure Monitoring,” IEEE EMBS Dallas 1st Texas Medical Device Symposium, Nov 2, 2012 , Dallas, Texas, USA.
  20. S. Ostadabbas, M. R. Brier, J. Hart Jr., R. Jafari, “Spectral Spatio-Temporal Template Extraction from EEG Signals,” Beyond Brain Machine Interface: From Senses to Cognition Workshop, May 10, 2010, Long Beach, CA, USA.
  21. S. Ostadabbas, M. R. Brier, J. Hart Jr., R. Jafari, “Spectral Spatio-Temporal Template Extraction from EEG Signals,” Center for Brain Health (CBH) symposium, April 8, 2010, Dallas, TX, USA.

Book Chapters

  1. R. Jafari, H. Ghasemzadeh, V. Loseu, S. Ostadabbas, “Human Bio-Kinematic Monitoring with Body Area Networks,” in Wireless Body Area Networks: Technology, Implementation and Applications, Edited by Mehmet R. Yuce and Jamil Y. Khan, Pan Stanford Publishing, November 30, 2011, ISBN: 9789814316712.

Patents

  1. D. Hejazi, S. Kar, and S. Ostadabbas, “Device and Method for Color Identification,” US Patent App. No. 62/946,617, Dec. 2022.
  2. S. Ostadabbas and S. Liu⋆, “Method and System for In-Bed Contact Pressure Estimation Via Contactless Imaging,” US Patent App. 17/831,993, Dec. 2022.
  3. S. Ostadabbas, M. Wan⋆, X. Huang⋆, and L. Luan⋆, “Computer Vision based Assessment of Infant Face and Body Symmetry,” Invention Disclosure, INV-23028, Sep. 2022.
  4. S. Ostadabbas and X. Huang⋆, “Clinical application of AR-guided EEG-based Attention Modification to prevent Depression (CREAM Depression),” Invention Disclosure, INV-23007, Aug. 2022.
  5. S. Ostadabbas and X. Huang⋆, “AR-Based EEG-Guided Neglect Detection System (AREEN),” Invention Disclo- sure, INV-22101, May 2022.
  6. S. Ostadabbas, E. Zimmerman, X. Huang⋆, and M. Wan⋆, “Infant Facial Landmark Estimation,” Invention Disclo- sure, INV-22104, May 2022.
  7. S. Ostadabbas, “Vision-Based Artificial Intelligence-Guided Infant Motor Function Monitoring and Assessment System,” Invention Disclosure, INV-22071, Feb. 2022.
  8. S. Ostadabbas, S. Liu⋆, X. Huang⋆, and N. Fu⋆, “3D Human Pose Estimation System,” US Patent App. 2022- 0051437, Feb. 2022.
  9. S. Ostadabbas and S. Liu⋆, “Methods and Systems for In-Bed Pose Estimation,” US Patent App. 16/778,459, US Patent No. 11,222,437, Jan. 2022.
  10. S. Ostadabbas and E. Zimmerman, “SuckingSolutions: An AI-Guided Contact-less Non-Nutritive Suck Monitoring System,” Invention Disclosure, INV-22095, Nov. 2021.
  11. S. Ostadabbas and S. Liu⋆, “High Resolution Full-Body In-Bed Pose Estimation Platform using Multi- modal Sensing,” Invention Disclosure, INV-21014, Jul. 2020.
  12. S. Ostadabbas and S. Liu⋆, “Privacy-Preserving AI-Driven In-Bed Behavior Monitoring System on Edge,” Inven- tion Disclosure, INV-22034, Oct. 2021.
  13. S. Ostadabbas, X. Huang⋆, N. Fu⋆, and S. Liu⋆, “A Robust Infant 2D Pose Estimation and Posture Detection System,” Invention Disclosure, INV-21102, Apr. 2021.
  14. S. Ostadabbas and S. Liu⋆, “High Resolution Full-Body In-Bed Pose Estimation Platform using Multimodal Sens- ing,” Invention Disclosure, INV-21014, Jul. 2020.
  15. M. Nourani, M. Q. Pompeo, L. S. Tamil, S. Ostadabbas, and R. Yousefi, “Methods and Systems for Monitoring and Preventing Pressure Ulcers,” US Patent App. 13/267,513, Apr. 2013.