Object-Oriented Programming using Java
I am an associate professor at the School of Computer Science, University of Windsor, and an adjunct professor at the e-Health Research Unit, Faculty of Medicine, 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 Hospital of Eastern Ontario Research Institute from 2010 to 2012.
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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e-Health Security and Privacy
Data Mining & Machine Learning
Statistics Analysis Methods
Cryptography and Network Security
Secure Multi-party Computation
Saeed Samet, Mohd Tazim Ishraque, Mehdi Ghadamyari, Krishna Kakadiya, Yash Mistry, and Youssef Nakkabi. TouchMetric: a machine learning based continuous authenticationfeature testing mobile application. International Journal of Information Technology. pp. 1–7. April 2019.
Javad Rahimipour, Saeed Samet, Mahdi Eftekhari, and Chang Wook 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.
Majid Afshar, Saeed Samet, and Ting Hu. An Attribute Based Access Control Framework for Healthcare System. Journal of Physics, 933(1), 012020, 2018.
Arastoo Bozorgi, Saeed Samet, Johan Kwisthout, and Todd 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.
Saeed Samet, Ahoora Sadeghi, and Shabnam 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.
Javad Rahimipour, Saeed Samet, Wolfgang Banzhaf, and Mahdi 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.
Khaled El Emam, Hanna Farah, Saeed Samet, Aleksander Essex, Elizabeth Jonker, Murat Kantarcioglu, Craig 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.
Saeed 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.
Javad Rahimipour, Saeed Samet, Jeon-Hyun Lee, and Chang-Wook 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.
Khaled El Emam, Luk Arbuckle, Aleksander Essex, Saeed Samet, Ben Eze, Grant Middleton, David Buckeridge, Elizabeth Jonker, Ester Moher, Craig 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.
Saeed Samet and Ali 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.
Saeed Samet, Ali Miri and Eric Granger. Incremental learning of privacy-preserving Bayesian networks. Applied Soft Computing Journal, Volume 13, Issue 8, 2013, pp. 3657-3667.
Khaled El Emam, Saeed Samet, Luk Arbuckle, Robyn Tamblyn, Craig Earle, and Murat 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.
Saeed Samet and Ali 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.
Khaled El Emam, Saeed Samet, Jun Hu, Liam Peyton, Craig Earle, Gayatri C. Jayaraman, Tom Wong, Murat Kantarcioglu, Fida Dankar, and Aleksander Essex. A Protocol for the Secure Linking of Registries for HPV Surveillance. PLOS ONE, July 2012, Volume 7, Issue 7, e39915.
Khaled El Emam, Jun Hu, Jay Mercer, Liam Peyton, Murat Kantarcioglu, Bradley Malin, David Buckeridge, Saeed Samet, and Craig 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.
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.
Javad Rahimipour Anaraki, Saeed Samet, Mohamed Shehata, Kris Aubrey-Bassler, Ebrahim Karami, Saba Samet and Andrew 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.
Saeed Samet, Mohd Tazim Ishraque, and Anupam 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.
Saeed 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.
Saeed Samet, Mitu Kumar Debnath, and Navid 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.
Kazem Poozesh, Saeed Samet. A Secure e-Prescription System Based on NFC. The 2017 Canadian e-Health Conference, June 4 to 7, 2017, Toronto, ON, Canada.
Babak Emami, and Saeed 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.
Biruk Habtemariam, Andriy Miranskyy, Ali Miri, Saeed Samet, and Matt 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.
Javad Rahimipour, Ahoora Sadeghi, Arastoo Bozorgi, and Saeed Samet. HearMe: An Automated Transcripts, Sign Language, and Keywords Generator. The 2016 Canadian e-Health Conference, June 5 to 8, 2016, Vancouver, BC, Canada.
Saeed Samet. Privacy-Preserving Statistical Analysis on Health Data. The 7th International Conference on e-Health (EH 2015), July 2015, Canary Islands.
Mitu Debnath, Saeed Samet, and Krishnamurthy 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.
Babak Emami, Saeed Samet, Abouzar Azarpira and Ali 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.
Vineet Santosh Karkera, and Saeed 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.
Stephen Downes, Luc Belliveau, Saeed Samet, Md. Abdur Rahman, and Rodrigue Savoie. Managing Digital Rights Using JSON. 6th IEEE International Workshop on Digital Rights Management. January 2010, Las Vegas, USA.
Saeed Samet and Ali 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.
Saeed Samet and Ali Miri. Secure two and multi-party association rule mining. IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA 2009). July 2009, Ottawa, Canada.
Saeed Samet and Ali Miri. Privacy-Preserving Protocols for Perceptron Learning Algorithm in Neural Networks. 4th IEEE International Conference on Intelligent Systems (IS 08). September 2008, Varna, Bulgaria.
Saeed Samet and Ali 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.
Saeed Samet and Ali 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.
Saeed Samet, Ali Miri, and Luis Orozco Barbosa. Privacy Preserving k-means Clustering in Multi-party Environment. International Conference on Security and Cryptography (SECRYPT 2007). July 2007, Barcelona, Spain.
Parth Anand Shukla and Saeed 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.
Saeed Samet, Ahoora Sadeghi, and Shabnam 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.
Shabnam Asghari, Saeed Samet, Oliver Hurley, Alvin Simms, Marshall Godwin, James Valcour, Kris Aubrey-Bassler, Douglas Howse, John Knight, Navid Shekoufa, Kazem Poozesh, Ahoora 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.
Saeed Samet, Shabnam Asghari, Ahoora Sadeghi, and Oliver 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.
Mitu Debnath, Saeed Samet, and Krishnamurthy 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.
Saeed Samet, Khaled El Emam, and Craig Earle. Secure Logistic Regression and Survival Analysis of Horizontally Partitioned Data in Pharmacovigilance. Poster, 3rd North American Congress of Epidemiology. June 2011, Montreal, Canada.
Saeed Samet, Khaled El Emam, and Craig Earle. A Protocol for Secure Computation. Poster, Data Users Conference 2010: Understanding Health Outcomes. September 2010, Ottawa, Canada.
Saeed Samet and Ali Miri. Privacy-Preserving Data Mining. VDM Verlag, June 2011, 164 pages.
Object-Oriented Programming using Java
Big Data Analytics and Database Design
Security and Privacy
Introduction to Algorithms & Programming
Programming in C/C++
Programming for Scientific Computing
Programming in the Small
Comparative Programming Languages
P. Anand Shukla
M. Beheshti Mohtasham
J. Rahimipour Anaraki
A. Sadeghi Boroujerdi
B. Emami Abarghouei
M. Kazem Poozesh
M. Hassanzadeh Kiabi