My research is at the intersection of:

My research interests are:

For Prospective Students:


I seek to recruit highly qualified individuals pursuing a graduate degree (PhD and MASc) and postdoc. Please check my research interests prior to sending an email. Your email should include (as attachments and not URLs), your CV, transcripts (both undergrad and graduate), and a research statement describing: 1) a research topic that you would like to pursue, and 2) how the topic is related to my research interests (avoid repeating your CV content in this statement). Due to the volume of emails only potential candidates will be contacted.


If you are currently an MEng student and interested in Security and Machine Learning, I might be able to help you explore topics and projects that would suit your background and supervise your project.

  • October 2023

    Dr. Samavi will be a panellist in the discussion on What’s Next for a Generalized Measure of Privacy Attitudes? at the 67th International Annual Meeting of Human Factors and Ergonomics Society.

  • September 2023

    My MEng student, Bipin Aasi, successfully completed his project titled "Framework to Benchmark Adversarial Attacks on Language Models" and graduated from Toronto Metropolitan University. Congratulations Bipin!

  • September 2023

    My MEng student, Magdalean Singarajah, successfully completed her project titled "Benchmarking Differentially Private Transformer Based Medical LLMs" and graduated from Toronto Metropolitan University. Congratulations Magdalean!

  • TAILab Research Group Meeting - September 14, 2023
  • September 2023

    Our paper, co-authored with my former MASc. student, Mina Yazdani and PhD student, Hamed Karimi, on Machine Learning Robustness titled: "DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks" has been accepted to be presented at The 15th Asian Conference on Machine Learning (ACML 2023), November 2023. Congratulations Mina and Hamed!

  • September 2023

    Jacqueline Isabel Bereska (PhD. candidates, from Amsterdam University Medical Centers) and Leonard Bereska (PhD. candidates, Amsterdam University, Computer Science) gave inspiring talks on Medical AI and Mechanistic Interpretability of Machine Learning models in our TAILAB research group meeting.

  • Jacqueline and Leonard are giving a talk on Medical AI at TAILab Research Group Meeting - September 8, 2023
  • September 2023

    Daniel Sadig joined my research group (TAILab) as a MASc. student at Toronto Metropolitan University. Welcome Daniel!

  • September 2023

    Cassandra Czobit joined my research group (TAILab) as a PhD. student at Toronto Met. University. Welcome Cassandra!

  • August 2023

    The PhD. student, Mohammadreza Maleki, successfully completed his PhD. candidacy exam (written exam and research proposal) at Toronto Met. University. Congratulations Mohammadreza!

  • July 2023

    The Second AAAI Human AI Summer 2023 Symposium in Singapore was a great success with keynotes and invited speakers, paper presentations, and panel discussion. The proceeding of the symposium will be soon published by AAAI.

  • AAAI Human AI Summer 2023 Symposium - July 17-19 2023
  • July 2023

    Dr. Samavi gave a talk at the Machine Learning Privacy and Security Workshop at Vector Institute. The focus of the talk was on challenges of the guaranteed robustness of DNNs.

  • June 2023

    The PhD candidate, Hamed Karimi's short paper on "Quantifying Deep Learning Model Uncertainty in Conformal Prediction" has been accepted to be presented in the AAAI Human AI Summer 2023 on July 17-19, 2023. Congratulations Hamed!

  • June 2023

    Dr. Samavi's PhD student, Moe Sabry, co-supervised with Dr. Stebila (U. of Waterloo) and Dr. Sekerinski (McMaster U.), successfully defended his PhD thesis. Congratulations Moe!

  • June 2023

    Dr. Samavi contributed as a moderator and speaker in a panel of experts convened by the Catalyst Fellowship Program to discuss Developing a Successful Cyber IP Commercialization Strategy (On Monday, June 12, 2023).

  • June 2023

    The following Keynote Speakers have recently accepted to participate and give a talk in the AAAI Second Symposium on Human Partnership with Medical Artificial Intelligence (Human AI Summer 2023):

      - Dr. Anqi Qiu, National University of Singapore (NUS), Singapore, on "Laplace Operators and Graph Convolutional Neural Networks for Medical Applications" (Monday, July 17, 2023).
      - Dr. Brian Lim, National University of Singapore (NUS), Singapore, on "Towards Human-Centered Explainable AI" (Tuesday, July 18, 2023).
      - Dr. Fang Liu, University of Notre Dame, United States, on "Privacy-preserving Inference of Group Mean Difference in Zero-inflated Right Skewed Data with Partitioning and Censoring" (Tuesday, July 18, 2023).
  • May 2023

    TAILab research group visited the Aga Khan Museum. Thanks Dr. Samavi and everyone for your contributions!

  • With TAILab research group at Aga Khan Museum
  • May 2023

    Human AI Summer 2023 Symposium submission deadline is on May 23, 2023 (11:59pm AoE).

  • April 2023

    The MASc student, Mina Yazdani, was successfully graduated from Toronto Met. University. Congratulations Mina!

  • March 2023

    TAILab research group celebrated Nowruz, persian new year, together at Dr. Samavi's place. Thanks Dr. Samavi and everyone for your contributions!

  • With TAILab research group celebrating Nowruz
  • February 2023

    Dr. Samavi organized (as Symposium Chair) the AAAI Second Symposium on Human Partnership with Medical Artificial Intelligence (Human AI Summer 2023): Design, Operationalization, and Ethics. The Symposium will be held on July 17-19, 2023, and the Symposium Program is available here.

  • February 2023

    Dr. Samavi’s research group actively participated in the 2023 Vector Institute Research Symposium with two posters:

      - Hirad Daneshvar's poster on "Questionnaire Graph Embedding for Early Prediction of Mental Health Emergency Department Admission."
      - Hamed Karimi's poster on "Evidence-based Subjective Classification Cost in Deep Neural Networks."
  • Hirad is presenting his poster in 2023 Vector Research Symposium
    Hamed is presenting his poster in 2023 Vector Research Symposium
  • December 2022

    TAILab researchers celebrated the holiday season together at Mini's place. Thanks Mini and everyone for your contributions!

  • With my research group celebrating the end of another successful year (Dec. 18, 2022)
  • December 2022

    The PhD candidate, Mini Thomas' paper on "Bayesian-Based Parameter Estimation to Quantify Trust in Medical Devices" has been accepted to be presented in 7th International Workshop on Health Intelligence (W3PHIAI@AAAI 2023) at 37th AAAI Conference on Artificial Intelligence, February 2023. Congratulations Mini!

  • December 2022

    The PhD candidate, Moe Sabry, is presenting his paper on "ArchiveSafe LT: Secure Long-term Archiving System" at the Annual Computer Security Applications Conference (ACSAC-2022) on December 9, 2022. The paper is appeared in the proceeding of the conference and can be downloaded from the ACM Library.

  • Dec. 9, 2022 - Moe is presenting the ArchiveSafe paper at ACSAC'2022
  • December 2022

    Dr. Samavi's graduate student, Bradley Rose, and Dr. Samavi organized the first Table Tennis tournament between faculties, staff, and graduate students at the department of ECB Eng. .

  • Dec 1, 2022 - Table Tennis Tournament at TMU
  • Nov. 2022

    Dr. Samavi along with Dr. Jeff Schwartzentruber and other industry experts shared their views in a lively discussion at the "Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research" webinar organized by the Rogers Cybersecure Catalyst.

  • Nov. 2022

    Dr. Samavi led four teams in the UN Privacy Lab competition along with researchers from Harvard University and ETH Zurich AI Center. All four teams from the TMU Trustworthy AI research lab (TAILab) scored high in this competition. So grateful for having such wonderful students!

  • UN Privacy Enhancing Technology Lab competition - Nov. 9-11 2022
  • October 2022

    The PhD candidate, Moe Sabry's paper on "ArchiveSafe LT: Secure Long-term Archiving System" has been accepted to be presented in the Annual Computer Security Applications Conference (ACSAC-2022) on December 5-9, 2022. Congratulations Moe!

  • September 2022

    The PhD. student, Hamed Karimi, successfully completed his PhD. candidacy exam (written exam and research proposal) at Toronto Met. University. Congratulations Hamed!

  • September 2022

    The PhD. student, Hirad Daneshvar, successfully completed his PhD. candidacy exam (written exam and research proposal) at Toronto Met. University. Congratulations Hirad!

  • TAILab research group meeting - August 2022
  • September 2022

    The MEng student, Cassandra Czobit, was successfully graduated from Toronto Met. University. Congratulations Cassandra!

  • September 2022

    Omar Boursalie's paper on "Evaluation methodology for deep learning imputation models" is published in The Journal of Experimental Biology and Medicine, September 2022, and now available at here. Congratulations Omar!

  • September 2022

    Omar Boursalie joined my research group (TAILab) as a postdoc research fellow at Toronto Met. University. Welcome Omar!

  • September 2022

    Bradley Rose joined my research group (TAILab) as a MASc. student at Toronto Met. University. Welcome Bradley!

  • August 2022

    Dr. Samavi has been granted and announced as a research fellow of the 2022-2023 inaugural Catalyst Fellowship Program at Rogers Cybersecure Catalyst

  • July 2022

    Mahmud started a new MITACS research project on Sleep Analysis for iMD Research. Congratulations Mahmud!

  • June 2022

    Our paper on "Evaluation methodology for deep learning imputation models." co-authored by Omar Boursalie, Thomas E. Doyle and I will be appeared in Experimental Biology and Medicine (EBM), special issue on Applied Artificial Intelligence in Biomedicine and Healthcare - Listening to the Wind of Change, 2022.

  • April 2022

    Our paper on "Advanced defensive distillation with ensemble voting and noisy logits," co-authored by Yuting Liang (my former Master student and currently Ph.D. student at HKUST) and I will be appeared in the Journal of Applied Intelligence.

  • March 2022

    Our paper on "Heterogeneous Patient Graph Embedding in Readmission Prediction" co-authored by my Ph.D. student Hirad Daneshvar and I has been accepted and presented in the 35th Canadian Conference on Artificial Intelligence (Canadian AI 2022) from May 30 to June 3, 2022. Congratulations Hirad!

  • February 2022

    The MITACS research for iMD Research was successfully completed. Congratulations Mahmud!

  • February 2022

    Dr. Samavi’s research group actively participated in the 2022 Vector Institute Research Symposium with four posters:

      - Omar Boursalie's poster on "Temporally-Embedded Decoder Transformer for Health Prediction."

      - Hirad Daneshvar's poster on "Using Graph Neural Networks in Mental Health Service Utilization."
      - Mini Thomas's poster on "Machine Learning Approach for Trust Inference in Medical AI."
      - Hamed Karimi's poster on "Subjective Uncertainty Quantification in Federated Learning."
  • February 2022

    The patent titled "Method for Enabling Trust in Collaborative Research" by Andrew Sutton, Reza Samavi, Thomas E. Doyle, and David Koff, McMaster University, was published in U.S. Patent, No. 11244076B2.

  • January 2022

    Sanjoy Kumar Das joined my research group (TAILab) at TMU to complete MEng machine learning projects. Welcome Sanjoy!

  • January 2022

    Cassandra Czobit joined my research group (TAILab) at TMU to complete MEng machine learning projects. Welcome Cassandra!

  • December 2021

    The proceeding of the AAAI 2021 Fall Symposium on Human Partnership with Medical AI: Design, Operationalization, and Ethics (AAAI-HUMAN 2021), is published and now available at CEUR Workshop Proceedings, ceur-ws.org (link).

  • December 2021

    Omar Boursalie's paper on "Evaluation Metrics for Deep Learning Imputation Models" in 5th International Workshop on Health Intelligence (W3PHIAI@AAAI 2021) at 35th AAAI Conference on Artificial Intelligence, February 2021, is published and now available at the proceeding of AAAI21 - W3PHIAI Workshop.

  • November 2021

    The Association for the Advancement of Artificial Intelligence (AAAI) Fall 2021 Symposium in Human Partnership with Medical Artificial Intelligence (HUMAN.AI) was a success, with an inspiring keynote and several research talks! Thanks to the authors and the program committee!

  • November 2021

    Omar Boursalie, my PhD student co-supervised with Dr. Thomad E. Doyle, has successfully defended his dissertation on Temporally-Embedded Deep Learning Model for Health Outcome Prediction. Congratulations Omar!

  • Nov. 12, 2021 - Virtual Defense Session at McMaster University
    Nov. 12, 2021 - Virtual Defense Session at McMaster University
    Nov. 12, 2021 - Virtual Defense Session at McMaster University
  • November 2021

    The PhD candidate, Omar Boursalie's paper on "Decoder Transformer for Temporally-Embedded Health Outcome Predictions." has been accepted to be presented in the 20th International Conference on Machine Learning and Applications (ICMLA-21) on December 13-16, 2021. Congratulations Omar!

  • November 2021

    The PhD candidate, Mini Thomas's poster on "Towards Measuring Trust in Medical AI" has been accepted to be presented at the 2021 HIMSS Ontario Chapter, Digital Health Innovation Conference (HIMSS2021) on November 24, 2021. Congratulations Mini!

  • October 2021

    The PhD candidate, Mini Thomas's paper on "Trust Quantification for Autonomous Medical Advisory Systems" has been accepted to be presented in the 18th Annual International Conference on Privacy, Security and Trust (PST2021). Congratulations Mini!

  • September 2021

    Mohammadreza Maleki joined my research group (TAILab) as a PhD. student at TMU. Welcome Mohammadreza!

  • August 2021

    Dr. Samavi's research on Security and Machine Learning has been awarded by MITACS Accelerate Research award to partner with iMD Research and support a MASc student (Mahmud Ferdous) for four months research internship.

  • TAILab research group meeting - June 2021
  • June 2021

    We are pleased to announce that Dr. Arash Shaban-Nejad, the Director of Population Health Intelligence (PopHI) and an Assistant Professor in the UTHSC-OAK-Ridge National Lab (ORNL) Center for Biomedical Informatics, and the Department of Pediatrics at the University of Tennessee Health Science Center (UTHSC), will be speaking in our Societal and Ethical Considerations of AI seminar series. Dr. Shaban-Nejad will be speaking about "Explainable, Transparent, and Accountable AI to Address Health Disparities."

  • May 2021

    We are pleased that Dr. Fei Chiang, Associate Professor in Dept. of Computing and Software, McMaster University, accepted our invitation to be a speaker in our Societal and Ethical Considerations of AI seminar series. Fei will be speaking about "Spatio-temporal and Privatized Data Preparation."

  • May 2021

    We are pleased to start our Societal and Ethical Considerations of AI seminar series by Melissa Judd, Director, Academic Partnerships at the Vector Institute who will be speaking about "Responsible AI.""

  • May 2021

    Mahmud Ferdous joined my research group (TAILab) as a MASc. student at TMU. Welcome Mahmud!

  • May 2021

    Mina Yazdani joined my research group (TAILab) as a MASc. student at TMU. Welcome Mina!

  • April 2021

    Dr. Samavi is running this year's seminar series on Societal and Ethical Considerations of AI at TMU. This seminar series runs Friday mornings from May - July 2021. The seminar series is originally designed for Master of Engineering students with AI concentration but it is open to the students and faculty members at FEAS. If you're interested to participate, please contact Dr. Samavi.

  • February 2021

    Omar Boursalie presented the paper we co-authored on "Evaluation Metrics for Deep Learning Imputation Models" in the 5th International Workshop on Health Intelligence (W3PHIAI@AAAI 2021) at the 35th AAAI Conference on Artificial Intelligence.

  • February 2021

    Yuting Liang presented the paper we co-authored on "Towards Robust Deep Learning with Ensemble Networks and Noisy Layers" in the Towards Robust, Secure and Efficient Machine Learning (RSEML@AAAI 2021) workshop at the 35th AAAI Conference on Artificial Intelligence.

  • January 2021

    Hirad Daneshvar joined my research group (TAILab) as a PhD. student at TMU. Welcome Hirad!

  • January 2021

    Hamed Karimi joined my research group (TAILab) as a PhD. student at TMU. Welcome Hamed!

  • Dec. 2020

    Reza Samavi has been re-appointed as the Vector Institute Faculty Affiliate for another 2 years.

  • Dec. 2020

    The PhD candidate, Omar Boursalie's paper on "Evaluation Metrics for Deep Learning Imputation Models" has been accepted to be presented in the 5th International Workshop on Health Intelligence (W3PHIAI@AAAI 2021) at the 35th AAAI Conference on Artificial Intelligence. Congratulations Omar!

  • Dec. 2020

    The MSc graduate, Yuting Liang's paper on "Towards Robust Deep Learning with Ensemble Networks and Noisy Layers" has been accepted to be presented in the Towards Robust, Secure and Efficient Machine Learning (RSEML@AAAI 2021) workshop at the 35th AAAI Conference on Artificial Intelligence. Congratulations Yuting!

  • Nov. 2020

    Dr. Samavi gave a talk on Trust on Machine Learning for Medical AI at the Big Data, AI, and Machine Learning in Medicine, Health IT Conference, Toronto, Ontario, Canada.

  • Oct. 2020

    Dr. Samavi has been promoted by the IEEE as a Senior Member.

  • Sep. 2020

    The PhD candidate, Omar Boursalie's journal paper on "Using Medical Imaging Effective Dose in Deep Learning Models: Estimation and Evaluation" has been accepted to be published in IEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS). Congratulations Omar!

  • Sep. 2020

    The PhD candidate, Moe Sabry is presenting the "ArchiveSafe: Mass-Leakage-Resistant Storage from Proof-of-Work," paper, co-authored with Dr. Douglas Stebila (University of Waterloo) and myself at the 15th DPM International Workshop on Data Privacy Management co-located with ESORICS 2020. The paper will appear soon in LNCS. Congratulations Moe! (link to full paper preprint) (link to one-minute video abstract)

  • Aug. 2020

    Yuting Liang has published a preprint on arXive: "Towards Robust Deep Learning with Ensemble Networks and Noisy Layers". Congratulations Yuting!

  • Jul. 2020

    Reza Samavi joined the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metrpolitan University starting July 1st, 2020. Reza will lead the Trustworthy AI Research Lab (TAILab), tailab.org, at TMU.

  • Jun. 2020

    Vanessa Calero Bravo, my MSc student in Computer Science has successfully defended her thesis on A Framework for Measuring Privacy Risks of YouTube. Congratulations Vanessa!

  • Jun. 2020

    Yifan Ou, my MSc student in Computer Science has successfully defended his thesis on Game Analysis of Defences against Poisoning Attacks. Congratulations Yifan!

  • May 2020

    Omar Boursalie is presenting our abstract on "Deep Learning Model for Cancer Risk from Low Dose Medical Imaging Radiation" at ESR - EuroSafe Imaging 2020. Congratulations Omar!

  • Apr. 2020

    Yuting Liang, my MSc student in Computer Science has successfully defended her thesis on Algorithms in Privacy and Security for Data Analytics and Machine Learning. Given the scientific depth of the thesis, the committee has reached to the conclusion that Yuting's thesis should be considered for the best thesis award. Congratulations Yuting!

  • Apr. 2020

    The proceeding of the Blockchain enabled Semantic Web Workshop (BlockSW) co-located with the 18th International Semantic Web Conference, is now available at CEUR Workshop Proceedings. CEUR-WS.org (link)

  • Mar. 2020

    Starting March 16, 2020, all our research group meetings and individual meetings go online amid to COVID-19 measures announced by McMaster University.

  • Feb. 2020

    Our new paper "Optimization-Based Anonymity Algorithms." has been published in Computers & Security (2020), in press. (pre-print). Congratulations Yuting!

  • Jan. 2020

    Saman Dhindsa, My Master of Engineering student who I am co-supervising with Dr. Gail Krantzberg has successfully completed her degree requirements. Congratulations Saman!

  • Dec. 2019

    My research group (SPAI) held our Winter retreat last Wednesday and we celebrated the holiday season together. Thank you all for your contributions!

  • With my research group at Mandarin, Dec 11, 2019
  • Nov. 2019

    Dr. Samavi secured a MITACS Accelerate Research award on Medical AI Research with Digital Medical Experts Inc.

  • Oct. 2019

    The first Blockchain enabled Semantic Web Workshop (BlockSW) at ISWC 2019 was a success, with an inspiring keynote and several research talks! Thanks to the authors and the program committee!

  • Oct. 27, 2019 - BlockSW workshop at ISWC'19, University of Auckland, Auckland, New Zealand
  • Oct. 2019

    Dr. Samavi speaks at University of Queensland, Cyber Security Team on Trustworthy Machine Learning Algorithems.

  • Oct. 22, 2019 - University of Queensland, Brisbane, Australia
  • Sep. 2019

    Karl Knopf, My MSc student who I am co-supervising with Dr. Douglas Stebila has successfully defended his thesis on Real World Secret Leaking. Congratulations Karl!

  • TAILab research group meeting - September 2019
  • Sep. 2019

    Dr. Samavi secured a MITACS Accelerate Research award on MedicalAI Research with Lunar Medical Inc.

  • Aug. 2019

    Yu and Andrew are presenting "Machine Learning Model for Smart Contracts Security Analysis" co-authored by my students: Pouyan Momeni and Yu Wang, "Blockchain-based Marketplace for Software Testing" co-authored by my student Yu Wang and our industry partner Highmark Global Technologies, and "User Authentication Using Keystroke Dynamics via Crowdsourcing" co-authored by my student Andrew Foresi at the Privacy, Security, and Trust conference PST'19 in Fredricton, NB, Canada, Aug. 26-28, 2019.

  • Yu is presenting "Blockchain-based Marketplace for Software Testing" at PST'19 - Aug. 2019
    Andrew is presenting "User Authentication Using Keystroke Dynamics via Crowdsourcing" at PST'19 - Aug. 2019
    Yu is presenting "Machine Learning Model for Smart Contracts Security Analysis" at PST'19 - Aug. 2019
  • Aug. 2019

    Dr. Samavi speaks at RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.

  • Jul. 2019

    Dr. Samavi received a special award from Autodesk research to conduct research on "Semantic machine learning model for Parametric Human Project (PHP)"

  • Jul. 2019

    I am participating in the Second Conference on Discrete Optimization and Machine Learning, at RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. I will be giving a talk at RIKEN Center for Advanced Intelligence Project AI Security and Privacy Team.

  • Jul. 2019

    This year at the Privacy, Security, and Trust conference PST'19 we have one paper and two abstracts. "Machine Learning Model for Smart Contracts Security Analysis" co-authored by my students: Pouyan Momeni and Yu Wang, "Blockchain-based Marketplace for Software Testing" co-authored by my student Yu Wang and our industry partner Highmark Global Technologies, and "User Authentication Using Keystroke Dynamics via Crowdsourcing" co-authored by my student Andrew Foresi. Congratulations to Yu, Pouyan and Andrew!

  • Jun. 2019

    As part of the Vector Institute Friday seminars, Today (June 28), I gave a talk on the research challenges of security and privacy of Machine Learning models. I enjoyed the talk and specifically the lively discussion and feedback from the bright researchers at Vector.

  • Jun. 2019

    Our paper on "Mixed Strategy Game Model Against Data Poisoning Attacks" is featured in this month TechXplore. Using game theory to model poisoning attack scenarios by Ingrid Fadelli, Tech Xplore.

  • Jun. 2019

    Yifan is presenting our paper on Mixed Strategy Game Model Against Data Poisoning Attacks at the Dependable and Secure Machine Learning workshop at the 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019) in Portland, Oregon, USA, June 24, 2019.

  • Yifan speaks at DSML@DSN'19 - Jun. 2019
  • May 2019

    CFP is out for the Blockchain enabled Semantic Web Workshop (BlockSW 2019). Research papers and positions papers are both welcomed. The workshop is co-located with the 18th International Semantic Web Conference (ISWC 2019) in Auckland, New Zealand, October 26-27, 2019.

  • Apr. 2019

    Dr. Samavi is a Co-PI in a recently awarded ($300K) HHS Research Strategic Initiatives for the project titled: Paediatric Mental Health Learning Health System

  • Apr. 2019

    Dr. Samavi is a Co-PI in a recently awarded ($300K) HHS Research Strategic Initiatives for the project titled: Support and Development of Artificial Intelligence Applications in Medical Imaging

  • Apr. 2019

    Our paper on Mixed Strategy Game Model Against Data Poisoning Attacks is accepted as a research paper at the Dependable and Secure Machine Learning workshop co-located with the 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019) in Portland, Oregon, USA, June 24-27, 2019.

  • Mar. 2019

    Anna Lindsay-Mosher was successful for a summer 2019 McMaster University Undergraduate Student Research Award. She will joining my research group this summer to work on: Using Machine Learning to Predict Outcomes for SIU-involved cases.

  • Mar. 2019

    Dr. Samavi's research on security and blockchain has been awarded by MITACS to partner with Highmark Global Technologies and support two students (Pouyan Momeni and Yu Wang) for four months research internship.

  • Mar. 2019

    Dr. Samavi is giving a talk at HEI Research day at the Department of Health Research Methods, Evidence, and Impact.

  • Feb. 2019

    Dr. Samavi is co-chairing the Blockchain enabled Semantic Web Workshop (BlockSW 2019) with Dr. Mariano Consens at University of Toronto and Dr. Shahan Khatchadourian at ConsenSys. The workshop is co-located with the 18th International Semantic Web Conference (ISWC 2019) in Auckland, New Zealand, October 26-27, 2019.

  • Jan. 2019

    Dr. Samavi is organizing the Blockchain enabled Semantic Web Workshop (BlockSW 2019) Co-located with the 18th International Semantic Web Conference (ISWC 2019) in Auckland, New Zealand, October 26-27, 2019.

  • Jan. 2019

    Dr. Samavi has been invited to join four grant applications on HHS Research Strategic Initiatives.

  • Dec. 2018

    We wrapped up our CAS757 course, another group of talnted and motivated students completed this course by 10 interesting projects tackling healthcare problems. Please see the list of projects and the photo here.

  • Dec. 2018

    My research group and I had a fun time in our holiday season lunch.

  • At Mandarin, Dec 11, 2018
  • Nov. 2018

    It was an honor to represent McMaster at THE DATA EFFECT, A City Guide Conference, Vancouver November 27, 2018 event. I was one of the panelist in the the Cyber Security Strategies in the Data Age panel.

  • @RezaSamavi talking about data security and privacy at the #DataEffect in Vancouver. @McMasteResearch
  • Nov. 2018

    We had a lively discussion on AI & Personalized Medicine in the McMaster Innovation Showcase event. I was one of the panelist in the Expert Panel Personalized Medicine hosted by Ted Scott.

  • Photo and tweet credit Synapse Consortium (@SynapseLifeSci) - Nov. 2018
  • Oct. 2018

    I will be speaking at THE DATA EFFECT, A City Guide Conference, Vancouver November 27, 2018, representing McMaster University for the Cyber Security Strategies in the Data Age panel.

  • Oct. 2018

    Our paper on DSAP: Data Sharing Agreement Privacy Ontology is accepted as a long/full research paper at the 11th International SWAT4(HC)LS (Semantic Web Applications and Tools for Healthcare and Life Sciences) conference.

  • Oct. 2018 - My interview: Privacy Investigations

    The science writer of Computer Science journals at Elsevier interviewed me about our recently published article in the Journal of Web Semantics: Publishing privacy logs to facilitate transparency and accountability.

  • Oct. 2018

    Our paper titled Integrity Proofs for RDF Graphs is published in the Open Journal of Web Semantics.

  • Oct. 2018

    I accepted the invitation to join the Expert Panel - 9th annual McMaster Innovation Showcase – Nov. 7, 2018. This year’s event will focus on futuristic biomedical technologies, highlighting the role and impact of McMaster research in shaping the future of healthcare.

  • Oct. 2018

    Our AI Project with IBM is awarded with the SOCIP Accelerator HQP Grant: Personalized Predictive Risk for Medical Imaging Radiation Exposure. PI: Dr. David Koff (HHS, McMaster), Co-Investigators: Dr. Thomas Doyle (ECE) and Dr. Reza Samavi (CAS, McMaster University).

  • Oct. 2018

    Harpreet Geekee, CTO of Highmark Global Technologies gave my research group a talk on Research Challenges of Blockchain Platforms. Highmark Global Technologies has job positions for two recent PhD graduates to work on research and development of recommendation engine and prediction algorithm based on advanced Machine Learning methods and frameworks for Axius.

  • Sep. 2018

    Mingyuan Li (Ming), My MSc eHealth student has successfully defended his thesis on DSAP: Data Sharing Agreements Privacy Ontology. Congratulations Ming!

  • Sep. 2018

    A collaboration with Hamilton EMS initiated on Optimization of EMS Calls Alternative Routing.

  • Sep. 2018

    We filed to patent our algorithm on blockchain-based collaboration of medical researchers. The patent is based on the research my student Andrew Sutton is completed in collaboration with Dr. Thomas Doyle (ECE) and Dr. David Koff (HHS).

  • Sep. 2018

    I accepted the invitation by the Vector Institute to give a seminar on safety and security of MLAs as part of the Machine Learning Seminar series on May 3, 2019.

  • Sep. 2018

    We are awarded a collaborative MIRA/Labarge Catalyst Grant with Dr. M. Zargoussh (DeGroote School of Business) and Dr. A. Papaioannou (Faculty of Health Sciences) on Addressing the alternate level of care (ALC) issue facing older Candians: A co-designed comprehensive data analytics approach.

  • TAILab research group meeting - August 2018
  • Aug. 2018

    With Andrew Sutton, we attended the 16th International IEEE Conference on Privacy, Security and Trust (PST'18) in Belfast, Northern Ireland, UK to present our paper: Digitized Trust in Human-in-the-Loop Health Research.

  • Aug. 2018

    Sameen Ateeq, My MSc eHealth student has successfully defended her thesis on Finding and Evaluating Predictive Factors of Fall-Related Injuries. Congratulations Sameen!

  • Aug. 2018

    Omar Boursalie's PhD committee met and he has successfully completed his second year PhD milestone. Omar is my PhD student co-supervised with Dr. Doyle. Congratulations Omar!

  • Aug. 2018

    I accepted to join the technical committee of the 2nd International Conference on Emerging Data and Industry 4.0 (EDIT40'19).

  • Jul. 2018

    I accepted to join the reviewers of the ACM Journal of Data and Information Quality.

  • Jul. 2018

    Our paper on Tamper-Proof Privacy Auditing for Artificial Intelligence Systems is published in the proceeding of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI'18).

  • Jun. 2018

    With Dr. Zargoush at the DeGroote School of Business and Dr. Alexandra Papaioannou at Hamilton Health Sciences, our MIRA Catalyst Grant application entitled Addressing Alternate Level of Care Issue Facing Older Canadians; A Co-Designed Comprehensive Data Analytics Approach was awarded.

  • Jun. 2018

    Our paper Digitized Trust in Human-in-the-Loop Health Research was accepted to be included in the proceeding of the IEEE International Conference on Privacy, Security, and Trust (PST2018)

  • Jun. 2018

    Dr. Reza Samavi is an expert panelist in Blockchain: Privacy friendly or hostile technologies? organized by IAPP KnowledgeNet, Toronto.

  • Jun. 2018

    With Andrew Sutton, we attended the SBD@SIGMOD in Houston, Texas, US to present our paper: Timestamp-based Integrity Proofs for Linked Data.

  • Andrew speaks at SBD@SIGMOD'18 - Jun. 2018
    Andrew and I presenting the poster at SBD@SIGMOD'18 - Jun. 2018
  • Jun. 2018

    Andrew Sutton, my MSc Computer Science has successfully defended his thesis on Establishing Verifiable Trust in Collaborative Health Research. Congratulations Andrew!

  • May 2018

    I gave a seminar at The Fields Institute for Research in Mathematical Sciences on Improving machine learning data utility with optimal K-anonymization.

  • Fields Seminar on Improving machine learning data utility and optimal K-anonymization - Apr. 2018
  • May 2018

    Our paper on Publishing privacy logs to facilitate transparency and accountability is published in the Journal of Web Semantic, Volume 50, May 2018, Pages 1-20.

  • Apr. 2018

    I gave an invited talk at the Blockchain Opportunities Summit, Toronto on Blockchain Enabled Privacy Auditing.

  • Blockchain Opportunities Summit Canada - Apr. 2018
  • Mar. 2018

    I gave an invited talk at the Clinical Trials Conference, Toronto on Collaborative Health Research and Privacy Compliance in the Age of Intelligence Systems.