Hojjat Salehinejad, Ph.D., SMIEEE

Assistant Professor,
Mayo Clinic College of Medicine and Science, USA

Staff Scientist & Senior Associate Consultant,
Mayo Clinic, USA

Postdoctoral Fellow,
Department of Electrical & Computer Engineering,
University of Toronto, Canada (2021-2022)

Ph.D. in Electrical & Computer Engineering,
University of Toronto, Canada (2021)

Highlights

- Co-Organizer Special session on "Signal/Image Processing-Machine Learning for Physiological Signals"
24th International Conference on Digital Signal Processing, Greece, 2023. Link
- Co-Chair - Publication
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), Toronto, Canada, 2023. Link
- Elevated to IEEE Senior Member
Institute of Electrical and Electronics Engineers, 2022. Link
- Program Committee Member
Learning on Graphs Conference, 2022. Link
- Natural Sciences and Engineering Research Council (NSERC) of Canada Postdoctoral Fellowship in Artificial Intelligence
Evaluated as Outstanding by the Selection Committee for Computer Science - Location of Tenure: Stanford University, 2022. Link
- Doctoral Completion Award
University of Toronto, Toronto, Canada, 2021.


Research

My research spans several topics in machine learning and signal processing such as representation learning from limited-imbalanced data, efficient machine learning on resource-limited devices, graph representation learning, wireless sensing and detection, and human-machine interaction.
I am also interested in applied artificial intelligence in healthcare, with implementation in practice, to improve patient outcomes.


Publications

Google Scholar Profile

Accepted Journal Papers (peer-reviewed)

  1. H. Salehinejad and S. Valaee
    ``EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks"
    IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 10, pp. 5279-5292, Oct. 2022. Link

  2. H. Salehinejad, J. Kitamura, N. Ditkofsky, A. Lin, A. Bharatha, S. Suthiphosuwan, H.M. Lin, J. R. Wilson, M. Mamdani, and E. Colak
    ``A Real-World Demonstration of Machine Learning Generalizability in the Detection of Intracranial Hemorrhage on Head Computerized Tomography"
    Nature Scientific Reports, 11, 17051, 2021. Link

  3. E. H. Lee, J. Zheng, E. Colak, M. Mohammadzadeh, G. Houshmand, N. Bevins, F. Kitamura, E. Altinmakas, E. Reis, J. Lim, C. Klochko, M. Han, S. Moradian, A. Mohammadzadeh, H. Sharifian, H. Hashemi, K. Firouznia, H. Ghanaati, M. Gity, H. Dogan, H. Salehinejad, H. Alves, J. Seekins, N. Abdala , C. Atasoy, H. Pouraliakbar, M. Maleki, S. Wong, K. W. Yeom
    ``Deep COVID DeteCT: An International Experience on COVID-19 Lung Detection and Prognosis using Chest CT"
    Nature Digital Medicine (npj Digit. Med.), 4, 11, 2021.Link

  4. H. Salehinejad, T. Dowdell, E. Colak, J. Barfett, and S. Valaee
    ``Synthesizing Chest Radiograph Pathology for Training Deep Convolutional Neural Networks"
    IEEE Transactions on Medical Imaging, 38(5), pp.1197-1206, 2019. Link

  5. Daniel J. Low, H. Salehinejad , N. Gimpaya, J. B. Satchwell, K. Elsolh, S. Genis, J. Lin, Eric K. Lui, B. Pivetta, H. Tran, J. J. Barfett, S. C. Grover
    ``Automated Computer Detection of Colonoscopy Completion Using Deep Convolutional Neural Networks"
    Gastroenterology, vol. 156, Issue 6, S-937 - S-938, 2019. Link

  6. T. Xu, H. Salehinejad, Q. Huang, E. Cho, S. Valaee, C. Chung-Wai
    ``Detection of Small Airway Obstruction Patterns in Forced Oscillometry(FO) and Spirometry using Artificial Neural Networks"
    European Respiratory Journal, 52: OA308, 2018. Link

  7. H. Salehinejad, S. Rahnamayan, and H. R. Tizhoosh
    ``Micro-Differential Evolution: Diversity Enhancement and a Comparative Study"
    Applied Soft Computing, vol. 52, pp. 812-833, 2017. Link

  8. H. Salehinejad, S. Talebi, M. Rashidinejad
    ``UWB Wireless: A Scheme for SCADA Communications in Offshore Wind Farms"
    International Journal of Ultra Wideband Communications and Systems, vol.3, num.2, pp. 59-67, 2015. Link

  9. F. Pouladi, H. Salehinejad, H. Sanatnama, S. Talebi
    ``Optimum Communication Infrastructure Design for Power Grids Synchronisation in Smart Grids"
    International Journal of Bio-Inspired Computation, vol. 6, pp. 262-274, 2014. Link

  10. S. Rahnamayan, J. Jesuthasan, F. Bourennani, G. F. Naterer, and H. Salehinejad
    ``Centroid Opposition-Based Differential Evolution"
    International Journal of Applied Metaheuristic Computing, 5, no. 4, pp. 1-25, 2014. Link

  11. F. Koroupi, H. Salehinejad, and S. Talebi
    ``Spectrum Assignment in Cognitive Radio Networks Using Fuzzy Logic Empowered Ants"
    Iranian Journal of Fuzzy Systems, vol. 10(6), pp. 1-19, 2013. Link

  12. H. Salehinejad and S. Talebi
    ``PAPR Reduction of OFDM Signals by Novel Global Harmony Search in PTS Scheme"
    International Journal of Digital Multimedia Broadcasting, vol. 2012, Article ID 940849, 7 pages, 2012. Link

  13. A. Rivaz, F. Yousefi, H. Salehinejad
    ``Using Block Pulse Functions for Solving Two-Dimensional Fuzzy Fredholm Integral Equations of the Second Kind"
    International Journal of Applied Mathematics, 25(4), pp. 571-582, 2012. Link

  14. F. Koroupi, S. Talebi, and H. Salehinejad
    ``Cognitive Radio Networks Spectrum Allocation: An ACS Perspective"
    Scientia Iranica, 19(3), pp. 767-773, 2011. Link

  15. A. Ahmadi, S. Talebi and H. Salehinejad
    ``A Subsampling Predictor Associated Approach for Fast Global Motion Estimation"
    Scientia Iranica, vol. 19(6), pp. 1746-1753, 2011. Link

  16. H. Salehinejad and S. Talebi
    ``Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System"
    Applied Computational Intelligence and Soft Computing, vol. 2010, Article ID 428270, 13 pages, 2010. Link



Accepted Conference Papers (full-paper & peer-reviewed)

  1. H. Salehinejad, N. Hasanzadeh, R. Djogo, and S. Valaee
    ``Joint Human Orientation-Activity Recognition Using WiFi Signals for Human-Machine Interaction"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), Greece, 2023. Link

  2. N. Hasanzadeh, S. Valaee, and H. Salehinejad
    ``Multi-Observation Hidden Semi-Markov Model for Photoplethysmogram Signal Semantic Segmentation"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), Greece, 2023. Link

  3. A. Keshavarzian, H. Salehinejad and S. Valaee
    ``Representation Learning of Clinical Multivariate Time Series with Random Filter Banks"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), Greece, 2023. Link

  4. H. Salehinejad and S. Valaee
    ``LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), pp. 4068-4072, Singapore, 2022. Link

  5. H. Salehinejad and S. Valaee
    ``Pruning of Convolutional Neural Networks Using Ising Energy Model"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), pp. 3935-3939, Canada, 2021. Link

  6. H. Salehinejad and S. Valaee
    ``A Framework For Pruning Deep Neural Networks Using Energy-based Models"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), pp. 3920-3924, Canada, 2021. Link

  7. H. Salehinejad, E. Ho, H. Lin, P. Crivellaro, O. Samorodova, M. Arciniegas, Z. Merali, S. Suthiphosuwan, A. Bharatha, K. Yeom, M. Mamdani, J. Wilson, E. Colak
    ``Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging"
    IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pp. 1911-1914, France, 2021. Link

  8. H. Salehinejad and S. Valaee
    ``A Probabilistic Scheme for Representation Learning with Radial Transform Images"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), pp. 4017-4021, Spain, 2020. Link

  9. H. Salehinejad and S. Valaee
    ``ISING-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), pp. 3602-3606, UK, 2019.

  10. E. Soares, C. Campos, H. Salehinejad, S. Valaee
    ``Recurrent Neural Networks for Online Travel Mode Detection"
    IEEE Global Communications Conference (IEEE GLOBECOM), pp. 1-6, USA, 2019.

  11. H. Salehinejad, Z. Wang, S. Valaee
    ``Ising Dropout with Node Grouping for Training and Compression of Deep Neural Networks"
    IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP), pp. 1-5, Canada, 2019.

  12. Y. Zhang, H. Salehinejad, S. Valaee
    ``Privacy Preserving Deep Learning with Distributed Encoders"
    IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP), pp. 1-5, Canada, 2019.

  13. H. Salehinejad, S. Valaee, T. Dowdell, and J. Barfett
    ``Image augmentation using radial transform for training deep neural networks"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), pp. 3016-3020, Canada, 2018.

  14. H. Salehinejad, S. Valaee, T. Dowdell, E. Colak, and J. Barfett
    ``Generalization of deep neural networks for chest pathology classification in X-rays using generative adversarial networks"
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), pp. 990-994, Canada, 2018.

  15. H. Salehinejad, S. Naqvi, E. Colak, and S. Valaee
    ``Unsupervised semantic segmentation of kidneys using radial transform sampling on limited images"
    IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP), pp. 519-523, USA, 2018.

  16. H. Salehinejad, S. Naqvi, E. Colak, and S. Valaee
    ``Cylindrical transform: 3D semantic segmentation of kidneys with limited annotated images"
    IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP), pp. 539-543, USA, 2018.

  17. H. Salehinejad, S. Rahnamayan, and H. R. Tizhoosh
    ``CenDE: Centroid-based Differential Evolution"
    IEEE Canadian Conference on Electrical and Computer Engineering (IEEE CCECE), pp. 1-4, Canada, 2018.

  18. H. Salehinejad, J. Barfett, P. Arabi, S. Valaee, E. Colak, B. Gray, and T. Dowdell
    ``A Convolutional Neural Network for Search Term Detection"
    IEEE 28th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), pp.1824-1828, Canada, 2017.

  19. H. Salehinejad, S. Rahnamayan, and H. R. Tizhoosh
    ``Opposition-based Ensemble Micro-Differential Evolution"
    IEEE Symposium Series on Computational Intelligence (IEEE SSCI), pp. 1-8, USA, 2017.

  20. H. Salehinejad and S. Rahnamayan
    ``Customer Shopping Pattern Prediction: A Recurrent Neural Network Approach"
    IEEE Symposium Series on Computational Intelligence (IEEE SSCI), pp. 1-6, Greece, 2016.

  21. H. Salehinejad and S. Rahnamayan
    ``Effects of Centralized Population Initialization in Differential Evolution"
    IEEE Symposium Series on Computational Intelligence (IEEE SSCI), pp. 1-8, Greece, 2016.

  22. H. Salehinejad, S. Rahnamayan, and H. R. Tizhoosh
    ``Exploration Enhancement in Ensemble Micro Differential Evolution"
    IEEE World Congress on Computational Intelligence (IEEE WCCI), pp. 63-70, Canada, 2016.

  23. F. Pouladi, H. Salehinejad and A. Gillani
    ``Deep Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics"
    8th International Conference on Developments of E-Systems Engineering (DeSE), IEEE Publications, pp. 225-230, UAE, 2015.

  24. H. Salehinejad, R. Zadeh, R. Liscano, and S. Rahnamayan
    ``3D Localization in Large-Scale Wireless Sensor Networks Using Micro-Differential Evolution Algorithm"
    IEEE 25th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), pp.1824-1828, USA, 2014.

  25. H. Salehinejad, S. Rahnamayan, H. R. Tizhoosh, and S. Y. Chen
    ``Micro-Differential Evolution with Vectorized Random Mutation Factor"
    IEEE Congress on Evolutionary Computation (IEEE CEC), pp. 2055-2062, China, 2014.

  26. H. Salehinejad, S. Rahnamayan, and H. R. Tizhoosh
    ``Type-II Opposition-Based Differential Evolution"
    IEEE Congress on Evolutionary Computation (IEEE CEC), pp. 1768-1775, China, 2014.

  27. S. Rahnamayan, J. Jesuthasan, F. Bourennani, H. Salehinejad and GF. Naterer
    ``Computing opposition by involving entire population"
    IEEE Congress on Evolutionary Computation (IEEE CEC), pp. 1800-1807, China, 2014.

  28. F. Pouladi, A. M. Gilani, H. Salehinejad, and B. Nikpour
    ``Optimum Localization of Wind Turbine Sites Using Opposition Based Ant Colony Optimization"
    6th International Conference on Developments in e-Systems Engineering (DeSE), IEEE Publications, pp. 21-26, UAE, 2013.

  29. H. Salehinejad, S. Talebi, M. Rashidinejad, and A. Rashidinejad
    ``Wireless Delivering of SCADA Data in Offshore Wind Farms Using PAM-UWB"
    International Symposium on Smart Grid Operation and Control, Iran, 2012.

  30. H. Salehinejad, S. Talebi, M. Rashidinejad, and A. Rashidinejad
    ``PPM-UWB Channel Modeling for SCADA Communications in Offshore Wind Farms``
    Iranian Conference on Smart Grids, pp. 1-6, Iran, 2012.

  31. H. Salehinejad, F. Pouladi, and S. Talebi
    ``Toward Smart Power Grids: Communication Network Design for Power Grids Synchronization``
    International Power System Conference (PSC), pp. 1-8, Iran, 2012. Link

  32. A. Ahmadi, F. Pouladi, H. Salehinejad, and S. Talebi
    ``Fast Two-Stage Global Motion Estimation: A Blocks and Pixels Sampling Approach"
    Intelligent interactive multimedia systems and services, pp. 143-151. Springer, Berlin, Heidelberg, 2011.

  33. H. Salehinejad, F. Pouladi, and S. Talebi
    ``Intelligent Navigation of Emergency Vehicles"
    International Conference on Developments in e-Systems Engineering (DeSE), IEEE Publications, pp. 318-323, Dubai, 2011.

  34. E. Meimand Kermani, H. Salehinejad, and S. Talebi
    ``PAPR reduction of OFDM signals using harmony search algorithm"
    18th International Conference on Telecommunications, IEEE Publications, pp. 90-94, Ayia Napa, 2011.

  35. H. Salehinejad, S. Talebi, and F. Pouladi
    ``A metaheuristic approach to spectrum assignment for opportunistic spectrum access"
    IEEE 17th International Conference on Telecommunications, IEEE Publications, pp. 234-238, Doha, 2010.

  36. A. Ahmadi, H. Salehinejad, S. Talebi, and F. Koroupi
    ``Improved initial value prediction for global motion estimation"
    18th European Signal Processing Conference (EUSIPCO), IEEE Publications, pp. 2022-2026, Aalborg, 2010.

  37. H. Salehinejad and S. Talebi
    ``Spectrum Allocation in Cognitive Radio Networks: An Investigative Method"
    17th Iranian Conference on Electrical Engineering, Iran, 2009.

  38. H. Salehinejad and S. Talebi
    ``A new ant algorithm based vehicle navigation system: a wireless networking approach"
    International Symposium on Telecommunications, IEEE Publications, pp. 36-41, Iran, 2008.

  39. H. Salehinejad, F. Pouladi, and S. Talebi
    ``A New Route Selection System: Multiparameter Ant Algorithm Based Vehicle Navigation Approach"
    International Conference on Computational Intelligence for Modelling Control & Automation, IEEE Publications, pp.1089-1094, Austria, 2008.

  40. H. Mahdipour, H. Salehinejad, and S. Talebi
    ``Blind Watermarking for Compressed Videos in MPEG-2 Standard System Using Spread Spectrum Method"
    5th Iranian Conference on Machine Vision and Image Processing, pp. 269-274, Iran, 2008. Link

  41. S. Mahdavi-Jafari, H. Salehinejad, F. Pouladi, and S. Talebi
    ``A Pistachio Nuts Classification Technique: An ANN Based Signal Processing Scheme"
    International Conference on Computational Intelligence for Modelling Control & Automation, IEEE Publications, pp. 447-451, Austria, 2008. Link

  42. H. Mahdipour, H. Salehinejad, and S. Talebi
    ``MPEG-2 standard system: a new blind watermarking approach using spread spectrum method"
    International Symposium on Telecommunications, IEEE Publications, pp. 719-724, Iran, 2008. Link

  43. H. Salehinejad, H. Nezamabadi-Pour, S. Saryazdi, and F. Farrahi-Moghaddam
    ``Combined A*-ants algorithm: a new multi-parameter vehicle navigation scheme"
    16th Iranian Conference on Electrical Engineering, pp. 154-159, Iran, 2008. Link

  44. H. Salehinejad (salehi-nezhad) and F. Farrahi-Moghaddam
    ``An ant based algorithm approach to vehicle navigation"
    In First Joint Congress on Fuzzy and Intelligent Systems, Iran, 2007. Link

arXive

  1. Labach A, Salehinejad H, Valaee S. Survey of dropout methods for deep neural networks. arXiv preprint arXiv:1904.13310. 2019 Apr 25.
  2. Salehinejad H, Sankar S, Valaee S. Recent Advances in Recurrent Neural Networks. arXiv preprint arXiv:1801.01078, 2017.Link

Media

Media

  • Interview with the Hospital News magazine Link
  • Coverage in Unity Health Toronto News Link
  • Our research featured in Canadian Healthcare Technology magazine Link
  • July 2018 - Our research featured in University of Toronto News Link
  • Jan 2018 - Our paper "Recent Advances in Recurrent Neural Networks" featured in ML Review Link


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