Publications (88)


  1. User Perception of Smart Home Surveillance Among Adults Aged 50+: An Integrative Review, Jessica Percy Campbell, Jacob Buchan, Charlene H. Chu, Andria Bianchi, Jesse Hoey, Shehroz, S. Khan, vol. 12, JMIR mHealth and uHealth (impact factor: 5.0), 2024.
  2. Protocol for Metadata and Image Collection at Diabetic Foot Ulcer Clinics: Enabling Research in Wound Analytics and Deep Learning, Reza Basiri, Karim Manji, Philip M. LeLievre, John Toole, Faith Kim, Shehroz S. Khan, and Milos R. Popovic, vol. 23, no. 12, BioMedical Engineering OnLine (impact factor: 3.8), 2024.
  3. Artificial Intelligence-driven Virtual Rehabilitation for People Living in the Community: a Scoping Review, Ali Abedi, Tracey Colella, Maureen Pakosh, Shehroz S. Khan, NPJ Digital Medicine, vol 7 (impact factor: 15.2), 2024.
  4. Ensemble of Autoencoders for Anomaly Detection in Medical Data: A Narrative Review, M. S. Ali Nawaz, Shehroz S. Khan, Amir Ahmad, vol. 12, pp 17273-17289, IEEE Access (impact factor: 3.9), 2024.
  5. Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction, Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan, Journal of Healthcare Informatics Research, 2023 (impact factor: 5.9), 2024 (Accepted).
  6. Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions, Pratik Mishra, Alex Mihailidis, Shehroz S. Khan. IEEE Transactions on Emerging Topics in Computational Intelligence (impact factor: 5.3), 2023 (Accepted).
  7. Bag of States: A Non-sequential Approach to Video-based Engagement Measurement, Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi, Shehroz S Khan, Multimedia Systems, vol. 30, Springer (impact factor: 3.9), 2024
  8. VolPAM: Volumetric Phenotype-Activation-Maps for Data-driven Discovery of 3D Imaging Phenotypes and Interpretability, Mahboobeh Norouzi, Shehroz S. Khan, Ahmed Ashraf, Neural Computing and Applications, vol. 36, 2961–2972 (impact factor: 6.0), 2024
  9. Walking Path Images from Real-time Location Data Predict Degree of Cognitive Impairment, Tamim Faruk, Leia Shum, Andrea Iaboni, Shehroz S. Khan, Artificial Intelligence in Medicine, Springer, 2023 (impact factor: 7.5).
  10. Undersampling and Cumulative Class Re-decision Methods to Improve Detection of Agitation in People with Dementia, Zhidong Meng, Andrea Iaboni, Bing Ye, Kristine Newman, Alex Mihailidis, Zhihong Deng, Shehroz S Khan, Biomedical Engineering Letters, Springer, 2023, (impact factor: 4.6)
  11. Affect-driven Ordinal Engagement Measurement from Videos, Ali Abedi, Shehroz S. Khan, Multimedia Tools and Applications, Springer, 2023 (Accepted) (impact factor: 3.6)
  12. FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks, Ali Abedi, Shehroz S. Khan, Multimedia Tools and Applications, Springer, 2023 (Accepted) (impact factor: 3.6)
  13. Detecting Disengagement in Virtual Learning as an Anomaly, Ali Abedi, Shehroz S. Khan, Signal, Image and Video Processing, Springer, vol. 17, pp. 3535–3543, 2023 (impact factor: 2.3)
  14. Sensor‑based assessment of social isolation in community‑dwelling older adults: a scoping review, Shehroz S. Khan, Tiancheng Gu, Lauren Spinelli and Rosalie H. Wang, BioMedical Engineering OnLine, Springer Nature, vol 22, no. 18, 2023 (impact factor: 3.9)
  15. Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos, Pratik K. Mishra, Andrea Iaboni, Bing Ye, Kristine Newman, Alex Mihailidis and Shehroz S. Khan, BioMedical Engineering OnLine, Springer Nature, vol. 22, no. 4, 2023 (impact factor: 3.9)
  16. Multi Visual Modality Fall Detection Dataset, Stefan Denkovski, Shehroz S.Khan, Brandon Malamis, Sae Young Moon, Bing Ye, Alex Mihailidis, IEEE Access, 2022 (impact factor: 3.9).
  17. Wearable multimodal sensors for the detection of behavioral and psychological symptoms of dementia using personalized machine learning models, Andrea Iaboni, Sofija Spasojevic, Kristine Newman, Lori S Martin, Angel Wang, Bing Ye, Alex Mihailidis, Shehroz S Khan, Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, vol. 14, issue 1, pp e12305, , 2022 (impact factor: 5.3).
  18. Indoor Location Data for Tracking Human Behaviours: A Scoping Review, Leia C. Shum, Reza Faieghi, Terry Borsook, Tamim Faruk, Souraiya Kassam, Hoda Nabavi, Sofija Spasojevic, James Tung, Shehroz S. Khan and Andrea Iaboni, Sensors, vol. 22, no. 3: 1220, 2022 (impact factor: 3.9).
  19. Unsupervised Deep Learning to Detect Agitation from Videos in People with Dementia, Shehroz S. Khan, Pratik K. Mishra, Nizwa Javed, Bing Ye, Kristine Newman, Alex Mihailidis, Andrea Iaboni, IEEE Access, vol. 10, pages 10349 - 10358, 2022 (impact factor: 3.9).
  20. A pilot study to detect agitation in people living with dementia using multi-modal sensors, Sofija Spasojevic, Jacob Nogas, Andrea Iaboni, Bing Ye, Alex Mihailidis, Angel Wang, Shu Jie Li, Lori Schindel Martin, Kristine Newman, Shehroz S Khan, Vol. 5, Issue 3, pages 342-358, Journal of Healthcare Informatics Research, Springer, 2021 (impact factor: 5.9,.
  21. Spatio-Temporal Adversarial Learning for Detecting Unseen Falls, Shehroz S. Khan, Jacob Nogas, Alex Mihailidis, Pattern Analysis and Applications, vol. 24, pages 381-391, 2021 (impact factor: 3.9).
  22. initKmix-A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering, Amir Ahmad, Shehroz S. Khan, Expert Systems with Applications, 2020 (impact factor: 8.5).
  23. DeepFall - Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders, Jacob Nogas, Alex Mihailidis, Shehroz S. Khan, Journal of Healthcare Informatic Research, vol. 4, pages 50–70, 2020 (impact factor: 5.6). Google Scholar citations [56] [Code].
  24. Spatiotemporal Clustering : A Review, Mohd Yousuf Ansari, Amir Amhad, Shehroz S. Khan, Gopal Bhushan and Mainuddin, Artificial Intelligence Review, vol. 53, pages 2381–2423, 2020. Google Scholar citations [57] (impact factor: 12.0).
  25. Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data, Shehroz S. Khan, Amir Ahmad, Alex Mihailidis, Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pages 7769-7783, 2019 (impact factor: 2) [PDF][Code].
  26. Survey of state-of-the-art mixed data clustering algorithms, Amir Ahmad, Shehroz S. Khan, IEEE Access 7, 2019. Google Scholar citation [155] (impact factor: 3.9).
  27. Challenges in Collecting Big Data in A Clinical Environment with Vulnerable Population: Lessons Learned from A Study Using A Multi-modal Sensors Platform, Bing Ye, Shehroz S. Khan, Belkacem Chikhaoui, Andrea Iaboni, Lori Schindel Martin, Kristine Newman, Angel Wang, and Alex Mihailidis, Science and Engineering Ethics, pages 1-20, 2019 (impact factor: 3.7).
  28. Relationship between Variants of One-Class Nearest Neighbours and Creating their Accurate Ensembles, Shehroz S. Khan, and Amir Ahmad, IEEE Transactions on Knowledge and Data Engineering, Volume 30, Issue 9, pages 1796-1809, 2018 (impact factor: 8.9)[PDF][Code].
  29. Detecting Agitation and Aggression in People with Dementia using Sensors - A Systematic Review, Shehroz S. Khan, Bing Ye, Babak Taati, and Alex Mihailidis, Alzheimer's & Dementia, Volume 14, Issue 6, pages 824-832, 2018. Google Scholar citation [66] (impact factor: 14.0).
  30. Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders, Shehroz S. Khan, Babak Taati, Expert Systems With Applications, Volume 87, pages 280-290, 2017. Google Scholar citation [70] (impact factor: 8.5) [PDF] -- Won the Best Research Paper Award at the Toronto Rehabilitation Research Day, 2018.
  31. Detecting Falls with X-Factor Hidden Markov Models, Shehroz S. Khan, Michelle E. Karg, Dana Kulic and Jesse Hoey, Applied Soft Computing, Volume 55, pages 168-177, 2017 (impact factor: 8.7) [PDF].
  32. Review of Fall Detection Techniques: A Data Availability Perspective, Shehroz S. Khan and Jesse Hoey, Medical Engineering and Physics, Volume 39, pages 12-22, 2017. Google Scholar citation [202] (impact factor: 2.2) [PDF].
  33. One-Class Classification: Taxonomy of Study and Review of Techniques, Shehroz S. Khan and Michael G. Madden, The Knowledge Engineering Review, Volume 29, Issue 03, pages 345-374, © Cambridge University Press 2014. Google Scholar citation [534] (impact factor: 2.1) [PDF].
  34. Cluster Center Initialization Algorithm for K-modes Clustering, Shehroz S. Khan and Amir Ahmad, Expert Systems With Applications, Volume 40, Issue 18, pages 7444-7456, 2013. Google Scholar citation [120] (impact factor: 8.5)[PDF][Code].
  35. New Similarity Metrics for Raman Spectroscopy, Shehroz S. Khan and Michael G. Madden, Chemometrics and Intelligent Laboratory Systems, Volume 114, pages 99-108, 2012 (impact factor: 3.9)[PDF].
  36. Analyzing a Class of Pseudo-Random Bit Generator through Inductive Machine Learning Paradigm, Shri Kant and Shehroz S. Khan, Intelligent Data Analysis, Volume 10, 6, pages 539-554, 2006 (impact factor:1.7) [PDF].
  37. Cluster Center Initialization Algorithm for K-mean Clustering, Shehroz S. Khan and Amir Ahmad, Pattern Recognition Letters, Volume 25, No. 11, pages 1293-1302, 2004, Featured in Science Direct in TOP25 Hottest Articles for the period of Apr-June'08, Oct-Dec'07 and July-Sept'04. Google Scholar citations [882] (impact factor:5.1)[PDF][Code].
  1. Strategies to Mitigate Age-Related Bias in Machine Learning: A Scoping Review, Charlene Chu, Simon Donato-Woodger, Shehroz S. Khan, Tianyu Shi, Kathleen Leslie, Samira Abbasgholizadeh-Rahimi, Rune Nyrup, Amanda Grenier, JMIR Aging, 2023.
  2. Age-Related Bias in Artificial Intelligence: A Scoping Review, Charlene Chu, Simon Donato-Woodger, Shehroz S. Khan, Rune Nyrup, Kathleen Leslie, K., Alexandra Lyn, Tianyu Shi, Andria Bianchi, Samira Abbasgholizadeh-Rahimi, Amanda Grenier, Humanities & Social Sciences Communications, 10, 510, 2023.
  3. Digital Ageism: Challenges and Opportunities in Artificial Intelligence for Older Adults, Charlene H Chu, Rune Nyrup, Kathleen Leslie, Jiamin Shi, Andria Bianchi, Alexandra Lyn, Molly McNicholl, Shehroz S. Khan, Samira Rahimi, Amanda Grenier, Gerontologist, vol. 62, issue 7, pp 947-955, 2022.
  4. Real-time location systems technology in the care of older adults with cognitive impairment living in residential care: a scoping review, Lynn Haslam-Larmer, Leia Shum, Charlene H Chu, Kathy McGilton, Caitlin McArthur, Alastair Flint, Shehroz S. Khan, Andrea Iaboni, Frontiers in Psychiatry (impact factor: 4.7), vol. 13, pp 2571, 2022.
  5. Technology Recommendations to Support Person-Centered Care in Long-Term Care Homes during the COVID-19 Pandemic and Beyond, Charlene H. Chu, Charlene Ronquillo, Shehroz S. Khan, Lillian Hung, Veronique Boscart, Volume 33, Number 4-5, pages 539-554, Journal of Aging & Social Policy, 2021, (impact factor: 5.1).
  6. Reliability of Nurses Use of a Direct Behavioural Observation Tool in the Dementia Context:Implications for Development of Predictive Systems of Behavioural Assessment, Kristine New-man, Lori S. Martin, V. McLelland, Angela Wang, J. Au Duong, Shehroz S. Khan, BingYe, Sofija Spasojevic, Andrea Iaboni, Alex Mihailidis, Perspectives. Journal of the Canadian Gerontological Nursing Association (CGNA). Vol. 42, no. 3, pp. 13-21, 2021.
  7. Factors Affecting the Implementation, Use, and Adoption of Real-Time Location System Technology for Persons Living With Cognitive Disabilities in Long-term Care Homes: Systematic Review, Alisa Grigorovich, Y. Kulandaivelu, Kristine Newman, Andrea Iaboni, Shehroz S. Khan, Josephine McMurray, Journal of Medical Internet Research (impact factor: 7.4), vol. 23(1), e228312021, 2021.
  1. Revisiting Annotations in Online Student Engagement, Shehroz S. Khan, Sadaf Safa, 10th International Conference on Computing and Data Engineering (ICCDE), Thailand, 2024.
  2. Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection, Stefan Denkovski, Alex Mihailidis, Shehroz S. Khan, The 15th Asian Conference on Machine Learning, 2023.
  3. Investigating Multimodal Sensor Features Importance to Detect Agitation in People with Dementia, Abeer Badawi, Khalid Elgazzar, Bing Ye, Kristine Newman, Alex Mihailidis, Andrea Iaboni and Shehroz S. Khan, IEEE Canadian Conference on Electrical and Computer Engineering, 2023.
  4. Empirical Thresholding on Spatio-temporal Autoencoders Trained on Surveillance Videos in a Dementia Care Unit, Shehroz S. Khan, Pratik K. Mishra, Bing Ye, Kristine Newman, Andrea Iaboni, Alex Mihailidis, The 20th Conference on Robots and Vision, , pp. 265-272, 2023.
  5. Rehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints, Ali Abedi, Paritosh Bisht, Riddhi Chatterjee, Rachit Agrawal, Vyom Sharma, Dinesh Babu Jayagopi, Shehroz S. Khan, The 20th Conference on Robots and Vision, pp. 288-295, 2023
  6. Step Counting with Attention-based LSTM, Shehroz S Khan, Ali Abedi, IEEE Symposium Series On Computational Intelligence, Singapore, pp. 559-566, 2022.
  7. Examining the technology-mediated cycles of injustice that contribute to digital ageism: Advancing the conceptualization of digital ageism: evidence and implications, Charlene Chu, Rune Nyrup, Simon Donato-Woodger, Kathleen Leslie, Shehroz S. Khan, Corinne Bernett, Amanda Grenier, PETRA ’22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, pp 545551, 2002.
  8. Preictal-Interictal Classification for Seizure Prediction, Georgis-Yap Zakary, Milos Popovic, Shehroz S Khan, The 35th Canadian Conference on Artificial Intelligence, Toronto, 2022.
  9. Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours, Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel and Ali Abedi, 19th Conference on Robots and Vision, Toronto, Canada, 2022.
  10. Onset and Offset Detection of Respiratory EMG Data Based on Energy Operator Signal, SofijaSpasojevic, Antenor Rodrigues, Kimia Mahdaviani, Darlene Reid, Alex Mihailidis, Shehroz S. Khan, 43rd Annual International Conference of the IEEE Engineering in Medicine andBiology Society, 2021.
  11. Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network, Ali Abedi, Shehroz S. Khan, 18th Conference on Robots and Vision, 2021.
  12. Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays, Shehroz S Khan, Faraz Khoshbakhtian, Ahmed Bilal Ashraf, 35th Canadian Artificial Intelligence Conference, 2021.
  13. Tracking agitation in people living with dementia in a care environment, Shehroz S. Khan, Thaejaesh Sooriyakumaran, Katherine Rich, Sofija Spasojevic, Bing Ye, Kristine Newman, Andrea Iaboni, Alex Mihailidis 35th Canadian Artificial Intelligence Conference, 2021.
  14. Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging, Vineet Mehta, Abhinav Dhall, Sujata Pal, Shehroz S Khan, 25th International Conference on Pattern Recognition (ICPR2020), Milan, Italy, 2021.
  15. Agitation Detection in People Living with Dementia using Multimodal Sensors, Shehroz S. Khan, Sofija Spasojevic, Jacob Nogas, Bing Ye, Alex Mihailidis, Andrea Iaboni, Angel Wang, Lori Schindel Martin and Kristine Newman, 41st Engineering in Medicine and Biology Conference, Berlin, 2019.
  16. Diagnosis of Obstructive Sleep Apnea during Wakefulness Using Upper Airway Negative Pressure and Machine Learning, Jan Lim, Shehroz S. Khan, Aditya Pandya, Clodagh M Ryan, Ahmed Haleem, Niveca Sivakulam, Hosna Sahak, Adnan Ul Haq, Kori Macarthur, and Hisham Alshaer, 41st Engineering in Medicine and Biology Conference, Berlin, 2019.
  17. Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behaviour, Chao Bian, Shehroz S. Khan, and Alex Mihailidis, 31st Canadian Artificial Intelligence Conference, Toronto, 2018 [PDF]
  18. dtFall – Decision Theoretic Framework to Report Unseen Falls , Shehroz S. Khan and Jesse Hoey, 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, Mexico, 2016 [PDF]
  19. X-Factor HMMs for detecting falls in the absence of fall-specific training data, Shehroz S. Khan, Michelle E. Karg, Dana Kulic and Jesse Hoey, 6th International Work-conference on Ambient Assisted Living (IWAAL 2014), Belfast, LNCS, volume 8868, pp 1-9, Springer International Publishing Switzerland, 2014 [PDF]
  20. Evaluating Visual Aesthetics in Photographic Portraiture, Shehroz S. Khan and Daniel Vogel - EXPRESSIVE: 8th International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging (CAe), Annecy, France, 2012. Google Scholar citations [68] [PDF][Code]
  21. Bayesian Multiple Imputation Approaches for One-Class Classification, Shehroz S. Khan, Jesse Hoey and Daniel Lizotte, 25th Canadian Conference on AI, Toronto, LNAI, volume 7310, pp 331-336. Springer, Heidelberg, 2012 [PDF]
  22. A Survey of Recent Trends in One Class Classification, Shehroz S. Khan and Michael G. Madden, Proceedings of the 20th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, in the LNAI, volume 6206, pp 181-190, Springer-Verlag, 2009. Google Scholar citations [484] [PDF]
  23. Two Level Anomaly Detection Classifier, Azeem Khan and Shehroz S. Khan, The 2008 International Conference On Computer and Electrical Engineering (ICCEE 2008), pp 65-69, Phuket, Thailand, 2008 [PDF]
  24. Application of Decision Trees for Portfolio Diversification in Indian Share Market, Shehroz S. Khan and Amir Ahmad, 1st International Conference on Information Systems, Technology and Management, (ICISTM'07), India, 2007 [PDF]
  25. Computation of Initial Modes for K-Modes Clustering Algorithm Using Evidence Accumulation, Shehroz S. Khan and Shri Kant, 20th International Joint Conference on Artificial Intelligence (IJCAI-07), pp 2784-2789, Hyderabad, India, 2007. Google Scholar citations [75]
  26. Classificatory Prediction and Primitive Polynomial Construction of Linear Feedback Shift Registers Using Decision Tree Approach, Shehroz S. Khan, 5th International Conference on Knowledge Based Computer Systems, India, 2004 [PDF]
  27. Generating K-prototype Points for Unsupervised Learning, Amir Ahmad and Shehroz. S. Khan, 1st Indian International Conference on Artificial Intelligence, Hyderabad, India, 2003 [PDF]
  28. Computing Initial points using Density Based Multiscale Data Condensation for Clustering Categorical data, Shehroz S. Khan and Amir Ahmad, 2nd International Conference on Applied Artificial Intelligence, ICAAI'03, Kolhapur, India, 2003 [PDF]
  29. Statistical Feature Extraction to Discriminate Various Languages: Plain and Crypt, Neelam Verma, Shehroz S. Khan, Shri Kant, Proceedings of the National Conference on Information Security (NCIS), pp. 1-10, Delhi, January, 2003 [PDF]
  1. Synthesizing Diabetic Foot Ulcer Images with Diffusion Model, Reza Basiri, Karim Manji, Francois Harton, Alisha Poonja, Milos R. Popovic, Shehroz S. Khan, 6th Workshop on AI for Aging, Rehabilitation and Intelligent Assisted Living at European Conference on Machine Learning, Italy, 2023.
  2. Assessing Frailty Using Behavioral and Physical Health Data in Everyday Living Settings, Chao Bian, Shehroz S. Khan, Alex Mihailidis, 6th Workshop on AI for Aging, Rehabilitation and Intelligent Assisted Living at European Conference on Machine Learning, Italy, 2023.
  3. Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment, Ali Abedi, Mobin Malmirian, Shehroz S. Khan, 6th Workshop on AI for Aging, Rehabilitation and Intelligent Assisted Living at European Conference on Machine Learning, Italy, 2023.
  4. AVA: AI-driven Virtual Rehabilitation Assistant, Ali Abedi, Tracey J.F. Colella, Mark Bayley, Urvashy Gopaul, Abhinav Mahajan, Tarun Reddy, Fateme Pourghasem, Dinesh Babu Jayagopi, and Shehroz S. Khan, 2023 World Congress of the International Society for Virtual Rehabilitation, Montreal, Canada, 2023
  5. MAISON - Multimodal AI-based Sensor platform for Older Individuals, Ali Abedi, Faranak Dayyani, Charlene Chu, Shehroz S. Khan, 5th Workshop on AI for Aging, Rehabilitation and Intelligent Assisted Living, IEEE International Conference on Data Mining Workshops (ICDMW), Orlando, FL, USA, pp. 238-242, 2022
  6. Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection, Reza Basiri, Milos Popovic, Shehroz S. Khan, 5th Workshop on AI for Aging, Rehabilitation and Intelligent Assisted Living, IEEE International Conference on Data Mining Workshops (ICDMW), Orlando, FL, USA, pp. 1-5, 2022
  7. Exercise-Specific Feature Extraction Approach for Assessing Physical Rehabilitation, Qingyang Guo and Shehroz S. Khan, 4th Workshop on AI for Aging, Rehabilitation and Intelligent Assisted Living at IJCAI, Canada, 2021
  8. Hand movement assessment in stroke using wearable armband sensor, Sofija Spasojevic, José Santos-Victor, Shehroz Khan and Alex Mihailidis, 3rd Workshop on AI for Aging, Rehabilitation and Independent Assisted Living at IJCAI, China, 2019
  9. Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies, Ahmed Ashraf, Shehroz S Khan, Nikhil Bhagwat, Mallar Chakravarty, Babak Taati, Machine Learning for Health Workshop, NeurIPS, Canada, 2018
  10. Fall Detection from Thermal Camera Using Convolutional LSTM Autoencoder, Jacob Nogas, Shehroz S. Khan, Alex Mihailidis, 2nd Workshop on AI for Aging, Rehabilitation and Independent Assisted Living at IJCAI, Federated Artificial Intelligence Meeting, Sweden, 2018 [PDF].
  11. DAAD: A Framework for Detecting Agitation and Aggression in People Living with Dementia using a Novel Multi-Modal Sensor Network, Shehroz S. Khan, Tong Zhu, Bing Ye, Alex Mihailidis, Andrea Iaboni, Kristine Newman, Angel He Wang, Lori Schindel Martin, 1st Workshop on Data Mining for Aging, Rehabilitation, and Independent Assistive Living, in conjunction with IEEE International Conference on Data Mining, New Orleans, USA, 2017 [PDF].
  12. A Probabilistic Framework for Detecting Unusual Events in Mobile Sensor Networks, Shehroz S. Khan, Graduate Student Symposium, 26th Canadian Conference on AI, Regina, LNCS volume 7884, pp 340-345, Springer, Heidelberg, 2013.
  13. Towards the Detection of Unusual Temporal Events during Activities Using HMMs, Shehroz S. Khan, Michelle E. Karg, Jesse Hoey and Dana Kulic, SAGAWARE: 2nd International Workshop on Situation, Activity and Goal Awareness, UbiComp, Pittsburgh, USA, 2012 [PDF]
  14. Cluster Center Initialization for Categorical Data Using Multiple Attribute Clustering, Shehroz S. Khan and Amir Ahmad, 3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, SIAM International Conference on Data Mining (SDM'12), Anaheim, California, USA, 2012 [PDF]
  15. Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems with Encoding of a Psychological Model Marek Grzes, Jesse Hoey, Shehroz Khan, Alex Mihailidis, Stephen Czarnuch, Dan Jackson and Andrew Monk, in Proc. ICAPS workshop on Knowledge Engineering for Planning and Scheduling, Freiburg, Germany, 2011
  1. LuDo: An Intervention System to Deter Persons With Mild Dementia From Inactivity and Restlessness, Shehroz Khan, Noelannah Neubauer, Julija Jeremic, Tricia Jose, Victor F. Cervantes, Maxime Lussier, 21st IAGG World Congress of Gerontology and Geriatrics, July 23-27, San Francisco, California, USA, 2017 [Video]
  2. Kernel-Based One-Class Nearest Neighbor Approach for Identification of Chlorinated Solvents, Shehroz S. Khan and Michael G. Madden, Pittsburgh Conference (PITTCON-2010), Orlando, USA, 2010