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Morteza Zihayat Kermani
Contact
Information
Curriculum Vitae
January 2017
Mitacs Elevate Postdoctoral Research Fellow
Faculty of Information
University of Toronto
IBM Spectrum Computing
IBM Canada
140 St. George Street, Toronto, ON, Canada
3600 Steeles Ave. E., Toronto, ON, Canada
E-mail: [email protected]
Website: http://individual.utoronto.ca/ zihayatm/
Phone: (+1) 647–831–6167
Residency Status Canadian Permanent Resident
Research
Interests
My research lies in the fields of Big Data Mining, Machine Learning, Social Network Analysis and
Cloud Computing. Specific interests include:
• Machine Learning and Data Mining in Big Data
- Predictive Analytics
- Meaningful Pattern Discovery in Big Data
• Modeling and Mining in Social Networks
- Web Graph Mining
- Link Structure Analysis
• User Modeling
- Socio-Physical Analytics
- Natural Language Processing
Education/
Postdoctoral
experience
University of Toronto, Toronto, Canada
Postdoctoral Fellow in Faculty of Information, September 2016–present
• Advisor: Rhonda McEwen
• Area of Study: Big Data Analytics, Machine Learning, Depression Detection, Social Media,
Wearable Devices, Natural Language Processing.
Lassonde School of Engineering, York University, Toronto, Canada
Ph.D. in Computer Science, September 2011–July 2016
• Thesis Title: High Utility Pattern Mining Over Data Streams
• Advisor: Aijun An
University of Tehran, Tehran, Iran
M.Sc. in Information Technology (IT), September 2008–October 2011
• Thesis Title: Credit Card Fraud Detection Based on Concept Drift Analysis
• Advisor: Mahmoud Reza Hashemi
University of Isfahan, Isfahan, Iran
B.Sc. in Information Technology (IT), September 2004–August 2008
Journal
Publications
ML (Machine Learning), IDA (Intelligent Data Analysis) and INS (Information Sciences), are first tier
journals in the field of machine learning and data mining.
1. M. Zihayat, Y. Chan, and A. An. ”Memory-adaptive High Utility Sequential Pattern Mining
over Data Streams”, accepted in Machine Learning (ML), 2016.
2. M. Zihayat, Ch-W. Wu, A. An and V. S. Tseng, ”Efficiently Mining High Utility Sequential
Patterns in Static and Streaming Data”, accepted in Intelligent Data Analysis (IDA), 2016.
3. M. Zihayat and A. An, ”Mining Top-k High Utility Patterns over Data Streams”, Information
Sciences (INS) Journal, Volume 285, Pages 138-161, 20, November 2014.
4. M. Zihayat, J. Basiri, L. Seyedhossein and A. Shakery, ”A Content-Based Approach for
Tracking Concept Drift in Email Spam Filtering”, International Journal of Information and
Communication Technology Research (IJICTR), 2(3):59–65, 2010.
5. J. Basiri, A. Shakery, B. Moshiri and M. Zihayat, ”Addressing the User Cold-Start Problem in
Recommender Systems Using Ordered Weighted Averaging Operator”, International Journal
of Information and Communication Technology Research (IJICTR) , 62(2):261–274, 2010.
Conference
Publications
Person presenting is indicated with a “*” after name.
SIAM SDM (International Conference on Data Mining), ECML/PKDD (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), EDBT( International
Conference on Extending Database Technology) and IEEE BigData (IEEE International Conference on Big
Data), are first tier venues in the field of data mining and Big Data.
6. M. Zihayat*, A. An, L. Golab, M. Kargar and J. Szlichta, ”Authority-based Team Discovery in Social Networks”, accepted in 20th International Conference on Extending Database
Technology (EDBT’17), 2017 (acceptance rate: 23%).
7. H. Davoudi*, M. Zihayat, A. An, ”Time-Aware Subscription Prediction Model for User
Acquisition in Digital News Media”, accepted in SIAM International Conference on Data
Mining (SDM’17), 2017 (acceptance rate: 26%).
8. M. Zihayat*, Z. Hu, A. An and Y. Hu, ”Distributed and Parallel High Utility Sequential Pattern Mining”, accepted in IEEE International Conference on Big Data (IEEE BigData’16),
2016 (acceptance rate: 18%).
9. M. Zihayat*, H. Davoudi and A. An., ”Top-k Utility-based Gene Regulation Sequential Pattern Discovery”, accepted in IEEE International Conference on Bioinformatics and Biomedicine
(BIBM’16), 2016 (acceptance rate: 19%).
10. M. Zihayat*, Ch-W. Wu, A. An and V. S. Tseng, ”Mining High Utility Sequential Patterns from Evolving Data Streams”, in Proceedings of the ACM/ASE Big Data and Social
Informatics (ACM/ASE BigData’15), 2015 (acceptance rate: 13%).
11. M. Zihayat*, M. Kargar and A. An, “Two-Phase Pareto Set Discovery for Team Formation
in Social Networks”, in Proceedings of the 2014 IEEE/WIC/ACM International Conference
on Web Intelligence (WI’14), 304-311, 2014.
12. M. Kargar*, M. Zihayat and A. An, ”Finding Affordable and Collaborative Teams from a
Network of Experts”, in Proceedings of the SIAM International Conference on Data Mining
(SDM’13), 2013 (acceptance rate: 25%).
13. M. Kargar, A. An, N. Cercone, K. Tirdad and M. Zihayat*, ”Signal Detection in Genome
Sequences Using Complexity based Features”, BIOKDD’13, 2013.
14. M. Kargar*, A. An and M. Zihayat, ”Efficient Bi-objective Team Formation in Social Networks”, in Proceedings of the Machine Learning and Knowledge Discovery in Databases –
European Conference (ECML–PKDD’12), 2012 (acceptance rate: 23%).
15. A.Sabzi, Y. Farjami* and M. Zihayat, ”An Improved Fuzzy k-medoids Clustering Algorithm
with Optimized Number of Clusters”, in Proceedings of the 11th IEEE International Conference on Hybrid Intelligent Systems (HIS’11), 2011.
16. M. Zihayat* and M. R. Hashemi, ”A DCT Based Approach for Detecting Novelty and Concept Drift in Data Streams”, in Proceedings of the International conference on Soft Computing
and Pattern Recognition (SoCPaR’10), 2010.
17. M. Zihayat* and M. R. Hashemi, ”An Unsupervised Distributed Intrusion Detection System
with Effective Bandwidth Utilization”, in Proceedings of the 7th International ISC Conference
on Information Security (ISCISC’10), 2010.
18. M. Zihayat*, J. Basiri, L. Seyedhossein and A. Shakery, ”Content-Based Concept Drift
Detection for Email Spam Filtering”, in Proceedings of the 5th International Symposium
on Telecommunications (IST’10), 2010.
19. J. Basiri, M. Zihayat*, A. Shakery, B. Moshiri, ”Alleviating the Cold-Start Problem of
Recommender Systems Using a New Hybrid Approach”, in Proceedings of the 5th International
Symposium on Telecommunications (IST’10), 2010.
Working Papers
20. M. Zihayat, R. McEwen and SE. Sim, ”Depression Detection Using Social Media Persona”.
21. M. Kargar, L. Golab, J. Szlichta and M. Zihayat, ”Finding Compact Dense Groups to Search
Queries over Attributed Graphs”.
Invited Talks
Invited talks excluding conference talks.
• A Scalable Two-Stage News Recommendation System, OCAD University (Host: Visual Analytics
Lab), Toronto, November 2016.
• Actionable Pattern Discovery in Big Data Streams, Queen’s University (Host: School of Computing), Kingston, October 2016.
• Actionable Pattern Discovery in Big Data Streams and Its Applications in Health Informatics,
University of Windsor (Host: School of Computer Science), Windsor, October 2016.
• Attractive News Reading Behavior Discovery from Web Clickstreams, Globe and Mail Inc.(Host:
Intelligence Systems Department), Toronto, February 2016.
• High Utility Pattern Mining over Data Streams, MIT-Massachusetts Institute of Technology
(Host: Laboratory for Social Machines), Boston, December 2015.
• Personalized News Recommendation Systems, Globe and Mail Inc.(Host: Intelligence Systems
Department), Toronto, October 2015.
Funds, Honors
and Awards
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Professional
Experience
Mitacs Elevate Postdoctoral Research Fellow in Faculty of Information at University of
Toronto and Dapasoft Inc., Toronto, Canada. September 2016–present.
2016: Recipient of Mitacs Elevate Strategic Postdoctoral Fellowship ($55K/Year), Canada.
2016: Nominated for Eshrat Arjomandi Award for Outstanding Ph.D. Dissertation.
2011–2016: York University Graduate Scholarship, Toronto, Canada.
2011–2015: York University International Tuition Scholarship, Toronto, Canada.
2011: Winner of Mitacs Accelerate with Dalhousie University (declined), Canada.
2008: Ranked 16th in the National Graduate Entrance Exam in IT.
2008: Ranked 2nd among all IT B.Sc. students, University of Isfahan, Iran.
2004: Ranked among top 1% of participants in the Nationwide University Entrance Exams.
Research Fellow in Big Data Research, Analytics and Information Network (BRAIN) Alliance (
$3.5 million Ontario Research Fund-Research Excellence (ORF-RE) grant), 2016–present.
Big Data Scientist in IBM Spectrum Computing, 2014–present.
Research Associate in The Globe and Mail, 2015–present.
Research Fellow in Centre for Innovation in Information Visualization and Data Driven Design
(CIV-DDD), $11.5 million ORF-RE grant in Big Data Analytics and Visualization 2013–2016.
Solution Architect in Dapasoft Inc. (Microsoft Gold Certified Partner), 2013–2016.
Research and Teacher Assistant in Lassonde School of Engineering, York University, Toronto,
Canada, 2011–2016.
Academic
Projects with
Private Sector
Depression Acuity Detection Using Social Media and Physical Activity: Build a framework to recognize depression for Dapasoft Inc. I work as a researcher and project lead. 2016–present.
User Reading Behavior in Digital News Media: Design and implement a descriptive model to
discover news reading behavior for Globe and Mail Inc.1 , I work as a data scientist. 2015–present.
Big Data Analytics: Design and implement novel data mining algorithms based on IBM Spectrum
Symphony and Apache Spark. I work as a big data scientist. 2014–present.
Microsoft Dynamics CRM: Design and implement Microsoft Dynamics CRM in more than 100
branches of VitalAire across Canada in Dapasoft Inc. I worked as a solution architect. 2014–2015.
Brain Health Assessment: Design and analyze the online brain health assessment tool for Cog1 Canada’s
number one weekday and weekend newspaper.
niciti in Dapasoft Inc. I worked as a solution architect and data scientist. 2013–2014.
Sentiment Analysis in Social Media: Improve the quality of sentiment analysis engine using
different machine learning techniques for Cluep Inc. I worked as a research software engineer. 2014.
Profiling Digital Media Users: Design and develop a platform to profile digital media users
based on online browsing information for Globe and Mail Inc. I worked as a data scientist. 2013.
Teaching
Experience
• Instructor
• York University, Toronto, Canada
– Introduction to Data Analytics, Winter 2017.
• Islamic Azad University, Ahvaz, Iran
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Object Oriented Design and Analysis, Winter 2011.
Machines and Languages Theory, Winter 2011.
Software Engineering, Fall 2010.
Fundamentals of Software Engineering, Fall 2010.
• Guest Lecturer
• York University, Toronto, Canada
– Data Mining (1 Lecture), Fall 2016.
– Introduction to Computational Linguistics (4 Lectures), Winter 2015.
– Operating System Fundamentals (3 Lectures), Fall 2015.
• University of Ontario Institute of Technology, Oshawa, Canada.
– Scientific Data Analysis (1 Lecture), Fall 2016.
– Big Data Analytics (2 Lectures), Winter 2016.
• Teaching Assistant
• York University, Toronto, Canada
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–
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Computer Use: Fundamentals, Winter 2016
Discrete Math for Computer Science, Fall 2015.
Operating System Fundamentals, Fall 2013, 2014.
Software Tools, Winter 2012.
Net-Centric Computing, Fall 2011.
• University of Tehran, Tehran, Iran
– Introduction to E-commerce, Fall 2010.
Advised
Students
H. Davoudi, Modeling User behavior for User Acquisition in Digital Media, Ph.D. student, Aug.
2016–present.
X. Zhao, A Personalized News Recommendation System, B.Sc. student, May 2015–present.
Y. Chen, Approximate Parallel High Utility Itemset Mining, M.Sc. student, Oct. 2014–Feb. 2015.
M. W. Khan, High Utility Itemset Mining in Big Data, B.Sc. student, May 2014–Aug. 2014.
Academic
Services
• Panel Moderator in Canadian Visual Analytics School (Canvas), 2015.
• Reviewer for IEEE Intelligent System, Expert Systems and Applications, Intelligent Information Systems, Big Data and Information Analytics, CIKM’16, ACM SIGKDD 2012–2015, ACM
SIGMOD’16, IEEE ICDM 2013–2016, SDM’14, PAKDD 2014–2017, BIBM’12.
Other
Services and
Activities
• Member of ventureLab, Participate in the BUILD program that is designed to support all
entrepreneurs, Markham, Ontario, Canada, 2015–2016.
• Participate in OCE Discovery, Participate in OCE Discovery Conference on behalf of Lassonde School of Engineering, Toronto, Ontario, Canada, 2015.
• Vice President of Finance, Computer Science and Engineering Graduate Students Association
at York University, Toronto, Ontario, Canada, 2012–2013.
References
Rhonda N. McEwen, Associate Professor
Faculty of Information (iSchool)
University of Toronto
Toronto, Ontario, Canada
Phone: 416-301-3181
E-mail: [email protected]
Aijun An, Professor
Lassonde School of Engineering
York University
Toronto, Ontario, Canada
Phone: 416-736-2100 Ext. 44298
E-mail: [email protected]
Parke Godfrey, Associate Professor
Lassonde School of Engineering
York University
Toronto, Ontario, Canada
Phone: 416-736-2100 Ext. 66671
E-mail: [email protected]
Simon Su, Senior Research & Development Manager
Dapasoft Inc.
Toronto, Ontario, Canada
Phone: 416-847-4080 Ext. 1071
E-mail: [email protected]
Jaroslaw Szlichta, Assistant Professor
Computer Science, Faculty of Science
University of Ontario Institute of Technology
Oshawa, Ontario, Canada
Phone: 905-721-8668 Ext. 5305
E-mail: [email protected]