Morteza Zihayat Curriculum Vitae October 2015

Transcription

1 Morteza Zihayat Curriculum Vitae October 2015 Contact Information Ph.D Candidate Phone: (+1) Keele St. Room LS2057 Website: Canada, Toronto, Ontario M3J 1P3 Platform Computing, IBM 3600 Steeles Ave Canada, Ontario L3R 9Z7 Research Interests Education My main research interests are in the broad areas of machine learning, data mining and information acquisition. Specific interests include: Big Data Mining and Engineering - Finding Meaningful Patterns from Structured and Unstructured Big Data - Parallel and Distributed Data Mining - Software Architectures and Languages for Big Data Mining Dynamic and Stream Data - Incremental Mining - Social Media Mining - Stream Mining Social Network Analysis - Web Graph Mining - Link Structure Mining, Toronto, Canada Ph.D in Computer Science, September 2011 Now (expected January 2016) Thesis Title: High Utility Sequential Pattern Mining Over Data Stream Advisor: Prof. Aijun An University of Tehran, Tehran, Iran M.Sc. in Information Technology (IT) Engineering, September 2008 October 2011 GPA: 92.95/100 Thesis Title: Improved Fraud Detection Based on Concept Drift Discovery and Analysis Advisor: Prof. Mahmoud Reza Hashemi University of Isfahan, Isfahan, Iran B.Sc. in Information Technology (IT) Engineering, September 2004 August 2008 GPA: 86.25/100 Thesis Title: Development and Implementation of Mobile Application Software Advisor: Prof. Ahmad Bara ani Publications M. Zihayat, Y. Chan, and A. An. Memory-bounded high utility sequential pattern mining over data streams. Technical Report EECS , York university, M. Zihayat, Ch-W. Wu, A. An and V. S. Tseng, Mining High Utility Sequential Patterns from Evolving Data Streams, Proceedings of the ASE BigData & SocialInformatics, 2015 (acceptance rate:13%). M. Zihayat and A. An, Mining top-k High Utility Patterns over Data Streams, Information

2 Sciences Journal (INS), Volume 285, Pages , 20 November ( 5-Year Impact Factor: 4.221) 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), , 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%). 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%). M. Kargar, A. An, N. Cercone, K. Tirdad and M. Zihayat, Signal detection in genome sequences using complexity based features, BIOKDD 13, 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, 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, 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, M. Zihayat J. Basiri, L. Seyedhossein and A. Shakery, Content-based concept drift detection for spam filtering,international Journal of Information and Communication Technology (IJICT), 2(3):59 65, M. Zihayat J.Basiri, L.Seyedhossein and A.Shakery, Content-Based Concept Drift Detection for Spam Filtering, in Proceedings of the 5th International Symposium on Telecommunications IST 10, J.Basiri, A.Shakery, B.Moshiri and M. Zihayat, Addressing Cold-Start Problem in recommender Systems Using Ordered Weighted Operator, International Journal of Information and Communication Technology (IJICT), 62(2): , 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, Honors and Awards : Graduate Scholarship, Toronto, Canada : International Tution Scholarship, Toronto, Canada : Ranked 2nd among all of IT engineering students, University of Tehran, Iran. 2008: Ranked 16th among more than 8000 students in the National Graduate Entrance Exam, in IT Engineering/ E-Commerce/ Multimedia Systems Programs, : Ranked 33th among more than 8000 students in the National Graduate Entrance Exam, in

3 Computer Network/Information Security Programs. 2008: Ranked 2nd among all of IT engineering students, University of Isfahan, Iran. 2004: Ranked Among top 1% of participants in the Nationwide University Entrance Exams. 2003: Ranked 2nd among high school graduate students. Professional Experience Research Fellow in Centre for Innovation in Information Visualization and Data Driven Design (CIV-DDD). CIV-DDD is an $11.5 million Ontario Research Fund-Research Excellence grant in big data analytics & visualization over 5 years, led by with OCAD University, the University of Toronto and 12 private sector partners Now Solution Architect in Dapasoft Inc. Dapasoft is a Microsoft Gold competency member, and is in the top 1% of Microsoft partners worldwide Research and Teacher Assistant in, Department of Computer Science and Engineering, Toronto, Canada, 2011 Now. Web Development Manager in Pars Design and Plan Inc., Tehran, Iran, April 2009 September Research and Teacher Assistant in University of Tehran, Department of Electrical and Computer Engineering, Tehran, Iran, Software and Web Developer Manager in AraminIT Inc., Tehran, Iran, Academic Projects with Private Sector Big Data Mining: Design and implement novel data mining algorithms based on IBM Platform Symphony and Apache Spark. I work as a big data scientist Now. News Recommendation System: Design and implement a Utility-based news recommendation system for Globe and Mail Inc. Globe and Mail Inc is Canadas #1 weekday and weekend newspaper. I work as a data scientist Now. Microsoft Dynamics CRM, Design, develop and implement Microsoft Dynamics CRM in more than 100 branches of VitalAire across Canada in Dapasoft Inc. I worked as a solution architect Brain Health Assessment:, Design and analyze the online brain health assessment tool for Cogniciti in Dapasoft Inc. I worked as a solution architect and data scientist Sentiment Analysis in Social Media:, Improve the quality of sentiment analysis engine using different machine learning techniques for Cluep Inc (Cluep is a mobile ad platform that targets people based on their social media conversations and serves them ads on their mobile). I worked as a research software engineer Gesture Recognition Technology:, Design and implement gesture recognition tools using Microsoft Kinect which is suitable to be used in hospital operating rooms for Dapasoft Inc. I worked as a research software engineer Profiling Digital Media Users: Design and develop a platform to profile digital media users based on their online browsing information for Globe and Mail Inc. I worked as a data scientist Teaching Experience Course Assistant, Discrete Math for Computer Science,, Fall 2015.

4 Course Assistant,Operating System Fundamentals,, Fall Course Assistant, Operating System Fundamentals,, Fall Course Assistant, Software Tools,, Winter Course Assistant, Net-Centric Computing,, Fall Instructor, Object Oriented Design and Analysis, Islamic Azad University, Winter Instructor, Machines and Languages Theory, Islamic Azad University, Winter Instructor, Software Engineering, Islamic Azad University, Fall Instructor, Fundamental of Software engineering, Islamic Azad University, Fall Course Assistant, Introduction to E-commerce, University of Tehran, Fall Course Assistant, Introduction to Information Technology Engineering, University of Isfahan, Fall Advised Students Yan Chen, Approximate Parallel High Utility Itemset Mining, M.Sc. student, Xing Zhao, Utility-Based News Recommendation System, Undergraduate student, 2015-Now Academic Service Panel Moderator in Canadian Visual Analytics School (Canvas), Reviewer for ACM SIGKDD , IEEE ICDM , PAKDD 2012, IEEE/ACM ASONAM 2013, BIBM 2012, SDM Other Services and Activities Member of venturelab, Participate in the BUILD program that is designed to support all entrepreneurs as they plan, launch, and expand a new venture, Markham, Ontario, Canada, Now. Participate in OCE Discovery, Participate in Ontario Centres of Excellence (OCE) Discovery Conference on behalf of. OCE Discovery is Canada s leading innovation-to-commercialization conference, showcasing leading-edge technologies, best practices and research,, Participate in Big Data Camp, in the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2013), August-2013 References Aijun An, Professor Phone: Ext [email protected] Nick Cercone, Professor,F IEEE Phone: Ext [email protected] Simon Su, Senior Research & Development Manager Phone: Ext Dapasoft Inc. [email protected]

5 Zane Zhenhua Hu, Principal Product Architect IBM, Platform Computing Parke Godfrey, Associate Professor Phone: Ext