Artificial Intelligence for Neurodegenerative Diseases

Workshop on July 22, 2022

ore than 50 million people worldwide live with different neurodegenerative diseases (NDD), including Alzheimer’s Disease (AD). Early detection of dementia would help older adults at the early stages of the disease seek out different intervention programs and clinical interventions to maintain their quality of life at the normal level and slow down disease progression.

The global effects of the diseases requires international and multidisciplinary collaborations between neurologists and psychiatrists and AI developers that result in Artificial Intelligence (AI)-driven solutions to measure, diagnose, and treat the neurodegenerative diseases. To foster such research collaborations, we will hold the AI4AD Workshop, which will be hosted by WCCI 2022.  

If you have questions or comments, please contact us at:

The Computer Research Institute of Montréal (CRIM) is a leading IT expertise centre that generates concrete results as well as a strategic partner in innovation for organizations.

CRIM creates socio-economic value from scientific and technological advances in digital technology through research, development and transfer. Through its applied research activities, CRIM appropriates scientific and technological advances and contributes to the advancement of science. With its customized experimental research and development projects, designed to meet the needs of organizations, CRIM enables them to reduce technological uncertainties and accelerate the commercialization of their products. By transferring cutting-edge knowledge and technologies to organisations, CRIM improves their competitiveness.

CRIM is a non-profit organization whose work is in line with the policies and strategies of its major financial partner, the ministère de l’Économie et de l’Innovation. CRIM has been serving Québec businesses and organizations for over 35 years and continues to play a key role in the economy by developing specialized tools, delivering structuring technologies to its clients and proactively disseminating best practices and the latest digital innovations


IEEE WCCI 2022 is the world’s largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: the 2022 International Joint Conference on Neural Networks (IJCNN 2022), the 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2022), and the 2022 IEEE Congress on Evolutionary Computation (IEEE CEC 2022).

Event Countdown
July 22, 2022*

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This date is tentative and may change if necessary.

Workshop Organizers

Mah Parsa

Mah Parsa

Ph.D., Postdoctoral researcher in speech and language processing at CRIM

Mah Parsa is a postdoctoral researcher at CRIM focusing on developing and deploying machine learning based speech and language assessment methods for neurodegenerative disease (e.g., Alzheimer's disease) and psychiatric disorders (e.g., schizophrenia).

Gilles Boulianne

Gilles Boulianne

Ph.D., Senior researcher in automatic speech processing at CRIM

Since joining CRIM in 1998, Gilles Boulianne has been conducting research in audio signal processing, speech and speaker recognition, and doing applied work in indexing, post-synchronization and captioning of multimedia documents. He is particularly interested in the intersection of Bayesian probabilistic and deep learning approaches, and in unsupervised and supervised learning methods.


Ioannis Kompatsiaris

Dr. Ioannis (Yiannis) Kompatsiaris is the Director of CERTH-ITI and the Head of Multimedia Knowledge and Social Media Analytics Laboratory.

His research interests include ΑΙ/ML for Multimedia, Multimodal and Sensors Data Analysis, Semantics (multimedia ontologies and reasoning), Social Media and Big Data Analytics, Human Computer Interfaces, e- Health, Cultural, Media/Journalism and Security applications.

He is the co-author of 178 papers in refereed journals, 63 book chapters, 8 patents and 560 papers in international conferences. Since 2001, Dr. Kompatsiaris has participated in 88 National and European research programs, in 31 of which he has been the Project Coordinator. He has also been the PI in 15 contracts from the industry. 

He has been the co-chair of various international conferences and workshops including the 13th IEEE Image, Video, and Multidimensional Signal Processing (IVMSP 2018) Workshop and has served as a regular reviewer, associate and guest editor for a number of journals and conferences currently being an associate editor of IEEE Transactions on Image Processing. He is a member of the National Ethics and Technoethics Committee, the Scientific Advisory Board of the CHIST-ERA funding programme and an elected member of the IEEE Image, Video and Multidimensional Signal Processing – Technical Committee (IVMSP – TC). He is a Senior Member of IEEE and ACM.  

Since January 2014, he is a co-founder of the Infalia private company, a high-tech SME focusing on data intensive web services and applications.


Brian MacWhinney

Teresa Heinz Professor of Psychology, Computational Linguistics, and Modern Languages at Carnegie Mellon University

His Unified Competition Model analyzes first and second language learning as aspects of a single basic system. He has developed a series of 13 TalkBank open access online databases for the study of language learning, multilingualism, and language disorders. The databases for language disorders include AphasiaBank, ASDBank, DementiaBank, FluencyBank, RHDBank, and TBIBank. These databases provide transcriptions of spoken language linked to audio and video media, along with programs for analysis and linguistic profiling. His other research topics include methods for online learning of second language vocabulary and grammar, neural network modeling of lexical development, fMRI studies of children with focal brain lesions, ERP studies of between-language competition, and the role of embodied perspectival imagery in sentence processing.

Brian MacWhinney, Teresa Heinz Professor of Psychology, Computational Linguistics, and Modern Languages at Carnegie Mellon University, has developed a model of first and second language acquisition, processing, and disorders called the Competition Model.  He is also the creator of the TalkBank system for spoken language data-sharing ( Recent edited books include The Handbook of Language Emergence (Wiley) and Competing Motivations in Grammar and Usage (Oxford).


Björn W. Schuller

Machine Intelligence and Signal Processing.

Dr. Schuller received his diploma, doctoral degree, habilitation, and Adjunct Teaching Professor in Machine Intelligence and Signal Processing all in EE/IT from TUM in Munich/Germany.

He is Full Professor of Artificial Intelligence and the Head of GLAM at Imperial College London/UK, Full Professor and Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg/Germany, co-founding CEO and current CSO of audEERING – an Audio Intelligence company based near Munich and in Berlin/Germany, independent research leader within the Alan Turing Institute and Royal Statistical Society Lab’s Data, Analytics and Surveillance Group, as part of the UK Health Security Agency, Guest Professor at Southeast University in Nanjing/China and permanent Visiting Professor at HIT/China amongst other Professorships and Affiliations. Previous stays include Full Professor at the University of Passau/Germany, Key Researcher at Joanneum Research in Graz/Austria, and the CNRS-LIMSI in Orsay/France.

He is a Fellow of the IEEE and Golden Core Awardee of the IEEE Computer Society, Fellow of the BCS, Fellow of the ISCA, Fellow and President-Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 1,000+ publications (40k+ citations, h-index=96), is Field Chief Editor of Frontiers in Digital Health and was Editor in Chief of the IEEE Transactions on Affective Computing amongst manifold further commitments and service to the community.

His 30+ awards include having been honored as one of 40 extraordinary scientists under the age of 40 by the WEF in 2015. He served as Coordinator/PI in 15+ European Projects, is an ERC Starting and DFG Reinhart-Koselleck Grantee, and consultant of companies such as Barclays, GN, Huawei, Informetis, or Samsung.


Dr. Sayeh Bayat

Sayeh Bayat is an Assistant Professor in the Departments of Geomatics Engineering and Biomedical Engineering, a member of the Hotchkiss Brain Institute (HBI) in the Cumming School of Medicine, and the director of the Healthy City Laboratory (HCL) at the University of Calgary.

Her research integrates innovative methods from engineering, machine learning, and geographic information science to create intelligent solutions for dementia care and diagnosis.

This cross-disciplinary effort, to this date, has resulted in innovative techniques to study people in the context of their everyday environments, and new insights into the relationship between mobility behaviours and cognitive functions.

Through her work, Dr. Bayat aims to explore whether a human-centric approach to machine learning can assist in the detection, diagnosis, monitoring, and treatment of health problems including dementia.

Current specific interests include automobile technology, driving behaviours and mobility in older adults and individuals with dementia.


Dr. Shehroz Khan

Research Scientist at KITE and Assitant Professor, University of Toronto

Dr. Shehroz Khan is a Scientist in the Artificial Intelligence and Robotics in Rehab Lab at the KITE, Toronto Rehabilitation Institute, University Health Network, Canada. He is also cross appointed as an Assistant Professor at the Institute of Biomedical Engineering, University of Toronto, Canada. He holds a PhD Degree from the University of Waterloo, Canada in Computer Science with specialization in Machine Learning.

Dr. Khan’s main research focus is the development of machine learning and deep learning algorithms within the realms of Aging, Rehabilitation and Intelligent Assisted Living (ARIAL). As a Principal Investigator (PI) and Co-PI, his research program has been funded through NSERC, CIHR, SSHRC, AGEWELL NCE, NFRF, AMS Healthcare, CABHI, LG Electronics, UAE University and Shastri Indo-Canadian Institute.

He has published 54 academic papers in top international journals and conferences that have garnered more than 2900 citations on Google scholar. He is the founder and organizer of the peer-reviewed International Workshop on Artificial Intelligence for ARIAL that is held in conjunction with top conferences in the field (2017-2022).


Dr. Narges Razavian

Narges Razavian is an assistant professor in the Departments of Population Health and Radiology and a member of NYU Langone’s Center for Healthcare Innovation and Delivery Sciences and its Predictive Analytics Unit.

Her lab focuses on various applications of machine learning and artificial intelligence for medicine with a clinical translation outlook, and they work with medical images, clinical notes, and electronic health records. Before joining NYU Langone, she was a postdoc at CILVR Lab at NYU Courant Institute of Mathematical Sciences. She received her PhD at Carnegie Mellon University in the computational biology group.


Thomas F.Feiner

Thomas Feiner is the founder of the Institute for EEG-Neurofeedback (IFEN). He has studied Occupational Therapy and became board certified in Neurofeedback by Biofeedback Certification International Alliance (BCIA) and a board-approved quantitative EEG (QEEG)-Diplomate by the International QEEG Certification Board (IQCB).

Located in Munich, he runs a center for Neurofeedback, where he utilizes modern brain-based assessments and technologies for the treatment of brain disorders. With the Neurologist Dr. C. Garner he developed a new Program to measure evoked potentials for early detection of cognitive decline and mild cognitive impairment. Also, he created a program for easy measurement and monitoring of cognitive performance. Feiner is an instructor for Neurofeedback and a founding member of the Global Neurofeedback Initiative (GNI).

As a researcher, he has measured over 5000 EEGs of meditators in and outside his lab, like international meditation retreats. He published numerous articles and book chapters on Neurofeedback, Stress, and optimization and maintenance of human performance and wellbeing. In his IFEN Laboratories, he creates innovative tools for Trainers and collaborates with other scientists in Neuropsychiatry where he utilizes QEEG, Event-Related Potentials (ERPs), Heart-Beat Evoked Potentials and other psychophysiological measures.


Kirill Korotaev

Founder & CEO of Purple Gaze

In 2015, Kirill left his corporate job in marketing. He decided that in order to maximize his positive impact on the world he should either study neuroscience to boost our understanding of the human brain or learn programming to contribute to the development of artificial intelligence.

He ended up enrolling in Cognitive Sciences & Technologies master’s program at the Higher School of Economics where he got an opportunity to engage in both: use neuroimaging techniques such as fMRI and TMS to collect the data from the brain and build Deep Neural Networks to model the visual cortex.

Today Kirill is the Founder & CEO of Purple Gaze, an Amsterdam-based computer vision and neurotechnology startup that leverages Eye Tracking and AI to identify biomarkers of neurodegenerative disorders in the patterns of eye movements data.


Dr. Nouha Bengaied

Director Research and Development, Quality of Services at the Federation of Quebec Alzheimer Societies

Dr. Nouha Ben Gaied holds a PhD in organic chemistry from the University of Strasbourg (France), which she completed with a postdoctoral fellowship at the University of Southampton (England), she then worked as a production supervisor in the chemical industry and more specifically in the filed of large-scale oligonucleotide synthesis.

In 2013, Dr. Ben Gaied joined the Federation of Quebec Alzheimer Societies as Director Research and Development, Quality of Services. Her role is to promote the Alzheimer Society Research Program, ensure knowledge transfer and exchange activities with researchers in Quebec working in the field of neurodegenerative diseases, and implement harmonized programs within the Alzheimer Societies.

Dr. Nouha BengaiedDr. Ben Gaied is the author of several scientific articles, co-investigator on several research projects and sits on several ministerial committees or provincial initiatives dedicated to Alzheimer’s disease


Lily Yi Li

Managing Director at Sixty Degree Capital

Lily is a managing director at Sixty Degree Capital and leads healthcare investments.
She has directed venture investments into companies and funds including Schrödinger
(NASDAQ: SDGR), Engage Therapeutics (acquired by UCB), Northern Biologics
(acquired by Boehringer Ingelheim), Monte Rosa Therapeutics (NASDAQ: GLUE),
Cincor Therapeutics (NASDAQ: CINC), Arcellx (NASDAQ: ACLX), Pipeline
Therapeutics, Antios Therapeutics, and many more. She currently holds an observer
seat on the Antios, Inspirna, and Libra Board of Directors.

She previously worked as a pharmaceutical scientist on formulation modelling, GMP system/plant design, formulation development, and CMC. Currently, she is pursuing her Ph.D in Alzheimer’s research at the University of Toronto.

Lily is passionate about drug development and making a difference in people’s life. She
is supportive of both the scientific and business aspects of new ideas and start-ups with
the goal of bringing new therapies and technologies to patients.

WORKSHOP program

Stay tuned ! Further details will be disclosed soon.

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Call for Papers

We invite high-quality submissions that present machine learning (ML) and deep learning (DL) algorithms for detecting NDD, particularly AD.

Submissions should have a maximum length of three (3) pages for lightning talks and one (1) page for poster presentation, with unlimited pages for references and appendices.

Important notes:

1) One page submission must be related to initial results from ongoing research projects using new approaches.

2 ) Three pages must be related to new results from a recently (i.e., not more than six months from 22 April 2022) published article in medical and ML journals with impact factors higher than 2.0.

The submitted title should be different from the published article’s title, and with less than 10% self-plagiarism.
The following is a list of topics of interest for this workshop:

  • Developing automatic speech and language assessment methods for NDD, particularly AD
  • Developing Eye-tracking based assessment methods for NDD, particularly AD
  • Developing gait-based assessment methods for NDD, particularly AD
  • Using neuroimaging techniques to develop assessment methods for NDD, particularly AD
  • Using wearable sensors and environmental sensors to develop assessment methods for NDD, particularly AD
  • Developing Trustworthy AI to detect NDD, particularly AD
  • Using facial expressions to develop assessment methods for NDD, particularly AD

All submissions must be sent via Google form before April 30, 2022 (AoE).


Important Dates

Latest submission * Extended *: Monday, May 15, 2022 (AoE)

Notification of acceptance: Monday, May 30, 2022

Final versions of papers: Wednesday, June 22, 2022

Latest registration for workshop : Wednesday, July 11, 2022

Workshop: July 22, 2022 at 8AM to 2PM (EST)

* This workshop is referred to as AI4AD



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