Saeed Samet, PhD

Associate Professor at the School of Computer Science
Faculty of Science, University of Windsor

I am an associate professor at the School of Computer Science, University of Windsor, and an adjunct professor at Memorial University, where I was an assistant professor from 2012 to 2017.
Prior to that, I was a Post-Doctoral Fellow at the e-Health Information Laboratory at the Children's Hospital of Eastern Ontario Research Institute from 2010 to 2012.

Education Research Interests Publication Teaching Students Contact Me About Me
Saeed Samet

Education

Mobirise

Post Doctoral Fellow (2010 – 2012)
E-Health Information Laboratory
Research Institute at the Children Hospital of Eastern Ontario (CHEO)
Ottawa, ON, Canada

PhD in Computer Science (2010)
University of Ottawa, Ottawa, ON, Canada
Thesis Title: Privacy-Preserving Data mining

MSc in Computer Science (2005)
McMaster University, Hamilton, ON, Canada

MSc in Computer Science (2003)
Tehran University, Tehran, Iran

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Research Interests

Mobirise

Health Informatics

e-Health Security and Privacy
Health Informatics
Mobile Health

Mobirise

Privacy-Preserving Techniques

Privacy-Preserving in
      Data Mining & Machine Learning
      Statistics Analysis Methods
      Big Data
      Social Networks

Mobirise

Cryptography

Cryptography and Network Security
Secure Multi-party Computation
Secret Sharing

Mobirise

Blockchain

Security/Privacy
Scalability
Blockchain-Based Federated Learning

Publication

“The joy of discovery is certainly the liveliest that the mind of man can ever feel”
                                                                                                              - Claude Bernard

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Journal Articles

L. Bhatia and S. Samet, A Decentralized Data Evaluation Framework in Federated Learning. Journal of Blockchain: Research and Applications. In Press. July 2023. https://doi.org/10.1016/j.bcra.2023.100152.

M. D. Firoozjaei, S. Samet, and A. A. Ghorbani, Parent Process Termination: An Adversarial Technique for Persistent Malware. Journal of Cyber Security Technology. August 2023. https://doi.org/10.1080/23742917.2023.2246229.

F. Behnaminia and S. Samet, Blockchain Technology Applications in Patient Tracking Systems Regarding Privacy-Preserving Concerns and COVID-19 Pandemic. International Journal of Information and Communication Engineering. Volume 17, Issue 2. Pages 144-156. 2023.

S. Zanbaghi and S. Samet, A Blockchain-Based Privacy-Preserving Physical Delivery System. International Journal of Information and Communication Engineering, Volume 16, Issue 11. Pages 532-539. 2022.

S. Samet, M. T. Ishraque, M. Ghadamyari, K. Kakadiya, Y. Mistry, and Y. Nakkabi. TouchMetric: a machine learning based continuous authentication feature testing mobile application. International Journal of Information Technology. pp. 1–7. April 2019.

J. Rahimipour, S. Samet, M. Eftekhari, and C. W. Ahn. A Fuzzy-Rough Feature Selection based on Binary Shuffled Frog Leaping Algorithm. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 12(9), 722 - 729, 2018.

M. Afshar, S. Samet, and T. Hu. An Attribute Based Access Control Framework for Healthcare System. Journal of Physics, 933(1), 012020, 2018.

A. Bozorgi, S. Samet, J. Kwisthout, and T. Wareham. Community-based Influence Maximization in Social Networks under a Competitive Linear Threshold Model. Journal of Knowledge-Based Systems, Vol. 134, pp. 149-158. 2017. https://doi.org/10.1016/j.knosys.2017.07.029.

S. Samet, A. Sadeghi, and S. Asghari. Secure Health Statistical Analysis Methods. IADIS International Journal on Computer Science and Information Systems, Vol. 11, No. 1, pp. 32-48. ISSN: 1646-3692.

J. Rahimipour, S. Samet, W. Banzhaf, and M. Eftekhari. A New Fuzzy-Rough Hybrid Merit to Feature Selection. LNCS Transactions on Rough Sets XX, 2016, Volume 10020, pp. 1-23, DOI: 10.1007/978-3-662-53611-7_1.

K. El Emam, H. Farah, S. Samet, A. Essex, E. Jonker, M. Kantarcioglu, C. Earle. A Privacy Preserving Protocol for Tracking Participants in Phase I Clinical Trials. Journal of Biomedical Informatics (JBI), October 2015. Volume 57, pp. 145-162. DOI: 10.1016/j.jbi.2015.06.019.

S. Samet. Privacy-Preserving Logistic Regression. Journal of Advance in Information Technology, 2015, Volume 6, No. 3, pp. 88-95, DOI: 10.12720/jait.6.3.88-95.

J. Rahimipour, S. Samet, J. H. Lee, and C. W. Ahn. SUFFUSE: Simultaneous Fuzzy-Rough Feature-Sample Selection. Journal of Advance in Information Technology, 2015, Volume 6, No. 3, pp. 103-110, DOI: 10.12720/jait.6.3.103-110.

K. El Emam, L. Arbuckle, A. Essex, S. Samet, B. Eze, G. Middleton, D. Buckeridge, E. Jonker, E. Moher, C. Earle. Secure Surveillance of Antimicrobial Resistant Organism Colonization or Infection in Ontario Long Term Care Homes. PLOS ONE, April 2014. Volume 9, pp. 1-8. DOI: 10.1371/journal.pone.0093285.

S. Samet and A. Miri. New Incremental Privacy-Preserving Clustering Protocols. Lecture Notes on Software Engineering (LNSE), Volume 1, Issue 3, August 2013, pages 244-248, ISSN: 2301-3559.

S. Samet, A. Miri and Eric Granger. Incremental learning of privacy-preserving Bayesian networks. Applied Soft Computing Journal, Volume 13, Issue 8, 2013, pp. 3657-3667.

K. El Emam, S. Samet, L. Arbuckle, R. Tamblyn, C. Earle, and M. Kantarcioglu. A Secure Distributed Logistic Regression Protocol for the Detection of Rare Adverse Drug Events. Journal of the American Medical Informatics Association (JAMIA), May 2013, Volume 20, Issue 3, pages 453-461.

S. Samet and A. Miri. Privacy-Preserving Back-Propagation and Extreme Learning Machine Algorithms. Journal of Data & Knowledge Engineering. Volume 79-80, September-October 2012, Pages 40-61. One of the most Cited Data & Knowledge Engineering Articles since 2012.

K. El Emam, S. Samet, J. Hu, L. Peyton, C. Earle, G. C. Jayaraman, T. Wong, M. Kantarcioglu, F. Dankar, and A. Essex. A Protocol for the Secure Linking of Registries for HPV Surveillance. PLOS ONE, July 2012, Volume 7, Issue 7, e39915.

K. El Emam, J. Hu, J. Mercer, L. Peyton, M. Kantarcioglu, B. Malin, D. Buckeridge, S. Samet, and C. Earle. A Secure Protocol for Protecting the Identity of Providers When Disclosing Data for Disease Surveillance. Journal of the American Medical Informatics Association (JAMIA), 2011, Volume 18, Issue 3, pp. 212-217.

C

Peer-Reviewed Conference Articles

I. Aloran and S. Samet, Defending Federated Learning Against Model Poisoning Attacks, IEEE Big Data 2023. Pages 3584-3589. December 2023.

P. Shukla and S. Samet, RNBFT: Leveraging Randomness to Achieve Scalable Byzantine Consensus, IEEE Big Data 2023. Pages 2346-2355. December 2023.

S. Miri Rostami, S. Samet, and Z. Kobti, Objective-aware Reputation-enabled Blockchain-based Federated Learning, 4th International Congress on Blockchain and Applications. Pages 259-268. January 2023.

S. Ziaeinejad, S. Samet, H. Fani, SEERa: A Framework for Community Prediction, Proceedings of the 31st ACM International Conference on Information & Knowledge Management(CIKM22). Pages 4762–4766. October 2022, Atlanta, Georgia, United States.

L. Bhatia and S. Samet, Decentralized Federated Learning: A Comprehensive Survey and a New Blockchain-based Data Evaluation Scheme. The Fourth International Conference on Blockchain Computing and Applications (BCCA 2022), September 2022, San Antonio, Texas, United States.

A. Vaghe Dashti, S. Samet, and H. Fani, Effective Neural Team Formation via Negative Samples. 31st ACM International Conference on Information and Knowledge Management (CIKM2022), October 2022, Atlanta, Georgia, United States.

M. Afshar, S. Samet, H. Usefi. Incorporating Behavior in Attribute Based Access Control Model Using Machine Learning. The 15th Annual IEEE International Systems Conference (SysCon), April 2021, Virtual Conference.

P. A. Shukla, S. Samet. Systematization of Knowledge on Scalability Aspect of Blockchain Systems. Future of Information and Communication Conference (FICC 2020), 5-6 March 2020 in San Francisco, United States.

M. Ghadamyari, S. Samet. Privacy-Preserving Statistical Analysis of Health Data Using Paillier Homomorphic Encryption and Permissioned Blockchain. The First Workshop on Security and Privacy on Blockchain at the 2019 IEEE International Conference on Big Data (Big Data), December 9-12, 2019 @ Los Angeles, CA, USA.

J. Rahimipour Anaraki, S. Samet, M. Shehata, K. Aubrey-Bassler, E. Karami, Saba Samet and A. Smith. Detecting Relative Changes in Circulating Blood Volume using Ultrasound and Simulation. 32nd IEEE International Symposium on Computer-Based Medical Systems (CBMS2019). June 5-7, 2019, Cordoba, Spain.

S. Samet, M. T. Ishraque, and A. Sharma. Privacy-Preserving Personal Health Record (P3HR): A Secure Android Application. 7th International Conference on Software and Information Engineering (ICSIE 2018). May 2018. Cairo, Egypt.

S. Samet. Secure Bivariate Statistical Analysis on Health Data. International Interdisciplinary Conference on Science Technology Engineering Management Pharmacy and Humanities (IIC- STEMPH 2017), 71-78, April 2017, Singapore.

S. Samet, M. K. Debnath, and N. Shekoufa. A Secure, Online, Interactive, and Revocable Personal Health Record System. The 2017 Canadian e-Health Conference, June 4 to 7, 2017, Toronto, ON, Canada.

K. Poozesh, S. Samet. A Secure e-Prescription System Based on NFC. The 2017 Canadian e-Health Conference, June 4 to 7, 2017, Toronto, ON, Canada.

B. Emami, and S. Samet. An Intelligent WBAN system for Heart Disease Prediction using NSGA. The 2016 Canadian e-Health Conference, June 5 to 8, 2016, Vancouver, BC, Canada.

B. Habtemariam, A. Miranskyy, A. Miri, S. Samet, and M. Davison. Privacy-Preserving Predictive Analytics with Smart Meters. Proceeding of the 2016 IEEE International Congress on Big Data. San Francisco, USA, 27 June-2 July 2016, pp. 190-197.

J. Rahimipour, A. Sadeghi, A. Bozorgi, and S. Samet. HearMe: An Automated Transcripts, Sign Language, and Keywords Generator. The 2016 Canadian e-Health Conference, June 5 to 8, 2016, Vancouver, BC, Canada.

S. Samet. Privacy-Preserving Statistical Analysis on Health Data. The 7th International Conference on e-Health (EH 2015), July 2015, Canary Islands.

M. Debnath, S. Samet, and K. Vidyasankar. A Secure Revocable Personal Health Record System with Policy-Based Fine-Grained Access Control. The 13th International Conference on Privacy, Security and Trust (PST 2015), July 2015, Izmir, Turkey.

B. Emami, S. Samet, A. Azarpira and A. Farrokhtala. SNACK: An Efficient Intrusion Detection System in Mobile Ad-Hoc Network based on the Selective-Negative Acknowledgement Algorithm. Proceeding of the IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE 2015), May 3-6, 2015, Halifax, NS, Canada, pp. 903-907.

V. S. Karkera, and S. Samet. Privacy-Preserving Analysis Tool (PPAT): A platform independent privacy analysis tool for large anonymized datasets. The Newfoundland Electrical and Computer Engineering Conference (NECEC 2014). November 2014, St. John’s, Newfoundland, Canada.

S. Downes, L. Belliveau, S. Samet, M. A. Rahman, and R. Savoie. Managing Digital Rights Using JSON. 6th IEEE International Workshop on Digital Rights Management. January 2010, Las Vegas, USA.

S. Samet and A. Miri. Privacy-Preserving Bayesian Network for Horizontally Partitioned Data. IEEE International Conference on Information Privacy, Security, Risk and Trust (PASSAT 2009). August 2009, Vancouver, Canada.

S. Samet and A. Miri. Secure two and multi-party association rule mining. IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA 2009). July 2009, Ottawa, Canada.

S. Samet and A. Miri. Privacy-Preserving Protocols for Perceptron Learning Algorithm in Neural Networks. 4th IEEE International Conference on Intelligent Systems (IS 08). September 2008, Varna, Bulgaria.

S. Samet and A. Miri. Privacy-Preserving Classification and Clustering Using Secure Multi-Party Computation. International Conference on Relations, Orders and Graphs: Interaction with Computer Science (ROGICS 08). May 2008, Mahdia, Tunisia.

S. Samet and A. Miri. Privacy-Preserving ID3 using Gini Index over Horizontally Partitioned Data. 6th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2008). April 2008, Doha, Qatar.

S. Samet, A. Miri, and L. O. Barbosa. Privacy-Preserving k-means Clustering in Multi-party Environment. International Conference on Security and Cryptography (SECRYPT 2007). July 2007, Barcelona, Spain.

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Peer-Reviewed Conference Posters and Abstracts

P. A. Shukla and S. Samet, Scaling Byzantine Consensus using Random Network Topology and Multi-Signatures over Informed Gossip. 2nd conference on Blockchain Research & Applications for Innovative Networks and Services. Paris, France. September 28-30, 2020.

S. Samet, A. Sadeghi, and S. Asghari. A framework for Secure Health Statistical Analysis Methods. Poster at the 2016 Canadian e-Health Conference, June 5 to 8, 2016, Vancouver, BC, Canada.

S. Asghari, S. Samet, O. Hurley, A. Simms, M. Godwin, J. Valcour, K. Aubrey-Bassler, D. Howse, J. Knight, N. Shekoufa, K. Poozesh, A. Sadeghi. Dynamic Decision-Support Tool for Strengthening Chronic Disease Prevention and Management. Poster (selected as a top-10 e-Poster) at the 2016 Canadian e-Health Conference, June 5 to 8, 2016, Vancouver, BC, Canada.

S. Samet, S. Asghari, A. Sadeghi, and O. Hurley. Secure Health Statistical Analysis (SHESTA): A privacy-preserving approach on design and analysis of Digital Epidemiology Chronic Disease Tool (DEPICT). Poster, the 7th annual Primary Healthcare Partnership Forum (PriFor 2015), June 2015, St. John’s, NL, Canada.

M. Debnath, S. Samet, and K. Vidyasankar. A PHR System with Policy-Based Fine-Grained Access Control And Revocation Mechanism. Poster, the Newfoundland Electrical and Computer Engineering Conference (NECEC 2014). November 2014, St. John’s, Newfoundland, Canada.

S. Samet, K. El Emam, and C. Earle. Secure Logistic Regression and Survival Analysis of Horizontally Partitioned Data in Pharmacovigilance. Poster, 3rd North American Congress of Epidemiology. June 2011, Montreal, Canada.

S. Samet, K. El Emam, and C. Earle. A Protocol for Secure Computation. Poster, Data Users Conference 2010: Understanding Health Outcomes. September 2010, Ottawa, Canada.

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Book & Book Chapter

S. Miri Rostami, S. Samet, and Z. Kobti. A Study of Blockchain-Based Federated Learning. Book Chapter in Federated and Transfer Learning, Springer, October 2022.

S. Samet and A. Miri. Privacy-Preserving Data Mining. VDM Verlag, June 2011, 164 pages.

Teaching

1

Object-Oriented Programming using Java

2

Big Data Analytics and Database Design

3

Security and Privacy

4

Introduction to Algorithms & Programming I & II

5

Health Informatics

6

Cyber Ethics

7

Programming for Scientific Computing

8

Programming for the Beginners using Python

9

Comparative Programming Languages

Students & Fellows

F

Post-Doctoral Fellow

P

PhD

S. Ziaenejad

M

MSc

B. Baghaei
A. A. Sattar Shaikh
M. S. Ahmad
S. G. Grandhi
I. Aloran
K. Tahayori
M. Vatani Nezafat
J. Shah

G

Graduated

M. E. Akhavanpour
F. Behnaminia
L. Bhatia
A. V. Dashti
S. Zanbaghi
M. Afshar
A. Bozorgi
S. Khani
D. Patel
K. Singh
P. Anand Shukla
M. Patel
M. Ghadamyari
M. Beheshti Mohtasham
J. Rahimipour Anaraki
M. Sheykholeslam
N. Shekoufa
A. Sadeghi Boroujerdi
B. Emami Abarghouei
M. Kazem Poozesh
M. Debnath
V. Karkera
J. Xu
M. Hassanzadeh Kiabi

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