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PUBLICATIONS

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

Journals

  • ​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, 2017, In-Press. 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. http://www.iadisportal.org/ijcsis/papers/2016190103.pdf

  • 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.

  • 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, 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), July 2015. pii: S1532-0464(15)00129- X. DOI: 10.1016/j.jbi.2015.06.019.

  • 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. DOI: 10.1371/journal.pone.0093285. http://www.ncbi.nlm.nih.gov/pubmed/24714643.

  • 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. http://dx.doi.org/10.1016/j.asoc.2013.03.011.

  • 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. http://www.lnse.org/show-29-64-1.html.

  • 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. http://www.ncbi.nlm.nih.gov/pubmed/22871397.

  • 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. http://dx.doi.org/10.1016/j.datak.2012.06.001.

  • 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, 2012, Volume 7, Issue 7, e39915. http://www.ncbi.nlm.nih.gov/pubmed/22768321.

  • 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. http://www.ncbi.nlm.nih.gov/pubmed/21486880.

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Conferences

  • Javad Rahimipour, Saeed Samet, Mahdi Eftekhari, and Chang Wook Ahn, A Fuzzy-Rough Feature Selection based on Binary Shuffled Frog Leaping Algorithm, September 2018, ICFIE 2018 : 20th International Conference on Fuzzy Information and Engineering.

  • Privacy-Preserving Personal Health Record (P3HR): A Secure Android Application, 22-26, 2018, May, 7th International Conference on Software and Information Engineering (ICSIE 2018).

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

  • Saeed Samet, Ahoora Sadeghi, and Shabnam Asghari. A framework for Secure Health Statistical Analysis Methods. Poster at the 2016 eHealth 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.

  • Shabnam Asghari, Saeed Samet, et al. Dynamic Decision-Support Tool for Strengthening Chronic Disease Prevention and Management. Poster (selected as a top-10 ePoster) at the 2016 eHealth Conference, June 5 to 8, 2016, Vancouver, BC, Canada.

  • Javad Rahimipour, Ahoora Sadeghi, Arastoo Bozorgi, and Saeed Samet. HearMe: An Automated Transcripts, Sign Language, and Keywords Generator. The 2016 eHealth Conference, June 5 to 8, 2016, Vancouver, BC, Canada.

  • Babak Emami, and Saeed Samet. An Intelligent WBAN system for Heart Disease Prediction using NSGA. The 2016 eHealth 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, Spain. Best paper award.

  • 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.

  • Mitu Debnath, and Saeed Samet. SURPHER: A SecUre Revocable Personal HEalth Record System. The 7th annual Primary Healthcare Partnership Forum (PriFor 2015), June 2015, St. John’s, NL, 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). The 7th annual Primary Healthcare Partnership Forum (PriFor 2015), June 2015, St. John’s, NL, Canada.

  • 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. The 28th annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2015), May 2015, Halifax, NS, 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.

  • 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.

  • Saeed Samet, and Mohammad Hasanzadehkiabi. Distributed & Scalable Privacy Preserving Statistical Analysis methods on Big Data - Genome-environment-wide associations in type 2 diabetes to uncover gene-environment interactions associated with this highly common disease. Accepted to present as a work-in-progress at the 35th IEEE Symposium on Security and Privacy. 2014, San Jose, CA, USA.

  • Khaled El Emam, Saeed Samet, and Craig Earle. Secure Logistic Regression and Survival Analysis of Horizontally Partitioned Data in Pharmacovigilance. The 3rd North American Congress of Epidemiology. Montreal, Canada, June 2011.

  • Saeed Samet, Khaled El Emam, and Craig Earle. A Protocol for Secure Computation. Poster presentation. Data Users Conference 2010: Understanding Health Outcomes. Ottawa, Canada, September 2010.

  • Stephen Downes, Luc Belliveau, Saeed Samet, Md. Abdur Rahman, and Rodrigue Savoie. Managing Digital Rights Using JSON. The 6th IEEE International Workshop on Digital Rights Management. Las Vegas, USA, January 9-12, 2010.
    DOI: 10.1109/CCNC.2010.5421662.

  • Saeed Samet and Ali Miri. Privacy-Preserving Bayesian Network for Horizontally Partitioned Data. Proceeding of the 2009 IEEE International Conference on Information Privacy, Security, Risk and Trust (PASSAT 2009). Vancouver, Canada, August 29-31, 2009, pp. 9-16. DOI: 10.1109/CSE.2009.94.

  • Saeed Samet and Ali Miri. Secure two and multi-party association rule mining. Proceeding of the 2009 IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA 2009). Ottawa, Canada, July 8-10, 2009, pp. 297-302. DOI: 10.1109/CISDA.2009.5356544.

  • Saeed Samet and Ali Miri. Privacy-Preserving Protocols for Perceptron Learning Algorithm in Neural Networks. Proceeding of the 4th IEEE International Conference on Intelligent Systems (IS 08), Varna, Bulgaria, September 2008, pp. 10-65 – 10-70.
    DOI: 10.1109/IS.2008.4670499.

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

  • Saeed Samet and Ali Miri. Privacy Preserving ID3 using Gini Index over Horizontally Partitioned Data. Proceeding of the 6th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2008), Doha, Qatar, April 2008, pp. 645 – 651. DOI: 10.1109/AICCSA.2008.4493598.

  • Saeed Samet, Ali Miri, and Luis Orozco Barbosa. Privacy Preserving k-means Clustering in Multi-party Environment. Proceeding of the International Conference on Security and Cryptography (SECRYPT 2007), Barcelona, Spain, July 2007, pp. 381 – 385.

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Books

  • Saeed Samet and Ali Miri. Privacy-Preserving Data Mining. VDM Verlag, June 2011, 164 pages.

 

Non-Refereed Work

  • Saeed Samet. Secure Computation of Statistical Analysis Methods. Invited talk at the Workshop and Symposium on Data Mining, Statistical Society of Ottawa, Ottawa, Canada. Spring 2010.

  • Saeed Samet. Privacy Preserving Data Mining. Invited talk at CMS Winter Meeting 2008, Ottawa, Canada. December 2008.

  • Saeed Samet and Ali Miri. Privacy-Preserving Bayesian Network for Horizontally Partitioned Data. Poster Presentation, University of Ottawa, Canada. February 2009.

- Claude Bernard -

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