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Hoang Anh Dau 180 W. Big Springs Rd, Apt 16, Riverside CA 92507 Cell: +1 951 425 8681 – [email protected] Career Overview I have a background in media. I used to be a journalist in Vietnam, specializing in international news. Then I decided to change my career to Computer Science. I am currently pursuing a PhD in Data Mining at University of California in Riverside, where I received a Dean’s Distinguished Fellowship Award, under the supervision of Prof. Eamonn Keogh. Prior to moving to USA, I lived in Melbourne, Australia for more than five years. I had affiliation with RMIT, where I had worked part time as a tutor/lab assistant for a number of undergraduate and postgraduate courses and had involved in several summer research projects since 2013. I am a Vietnamese citizen and an Australian Permanent Resident under the Skilled Independent visa subclass 189. Education and Training Master of Science in Computing, 2012 RMIT University – Melbourne, Victoria, Australia Master of Arts in Communication and Media Studies, 2010 Monash University – Melbourne, Victoria, Australia Bachelor of Arts in Foreign Languages, 2008 Hanoi University – Hanoi, Vietnam Selected Publications Hoang Anh Dau, Nurjahan Begum and Eamonn Keogh, Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping, ACM International Conference on Information and Knowledge Management (CIKM’16), Indianapolis, USA Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn Keogh, Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets, IEEE International Conference on Data Mining (ICDM’16), Barcelona, Spain Nurjahan Begum, Liudmila Ulanova, Hoang Anh Dau, Jun Wang, Eamonn Keogh, A General Framework for Density Based Time Series Clustering Exploiting A Novel Admissible Pruning Strategy, arXiv preprint arXiv:1612.00637, 2016 Hoang Anh Dau, Flora Salim, Andy Song, Lachlan Hedin and Margaret Hamilton, Phone based Fall Detection by Genetic Programming, International Conference on Mobile and Ubiquitous Multimedia (MUM’14), Melbourne, Australia Hoang Anh Dau, Andy Song, Feng Xie, Flora Salim and Vic Ciesielski, Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviors, International Conference on Simulated Evolution and Learning (SEAL’14), Dunedin, New Zealand Hoang Anh Dau, Vic Ciesielski and Andy Song, Anomaly Detection Using Replicator Neural Networks Trained on Examples of One Class, International Conference on Simulated Evolution and Learning (SEAL’14), Dunedin, New Zealand Graduate Coursework At University of California, Riverside Database Management Systems Data Mining Techniques Compiler Construction Advanced Computer Networks Computational Methods for Biomolecular Data Algorithmic Techniques for Computational Biology Advanced Computer Architecture Design and Analysis of Algorithms At RMIT University Usability Engineering Information Retrieval Computer and Internet Forensics Research Experience Graduate Student Researcher September 2015 – present University of California, Riverside – Riverside, USA Graduate Student Researcher March 2013 – August 2015 RMIT University – Melbourne, Australia Teaching Teaching Assistant RMIT University – Melbourne, Victoria July 2015 to October 2015 Database Concepts, Professional Computing Practice, Advanced Professional Development July 2014 to October 2014 Introduction to Programming March 2014 to June 2014 Introduction to Programming July 2013 to October 2013 Introduction to Programming, Software Engineering Fundamentals, iPhone Software Engineering March 2013 to June 2013 Introduction to Programming, Java for Programmers Honors Dean’s Distinguished Fellowship Award, University of California, Riverside, 2015 UbiComp Student Travel Grant, 2014 CIKM Student Travel Grant, 2016 Languages Vietnamese: Native English: IELTS 8.0 Mandarin Chinese: Conversational References Eamonn Keogh, PhD Vic Ciesielski, PhD Professor, Data Mining University of California, Riverside Riverside, CA 92521, USA [email protected] Professor, Artificial Intelligence RMIT University Melbourne, VIC 3000, Australia [email protected] Andrew Johnson, PhD Professor, Literal Studies and Philosophy Monash University Melbourne, VIC 3145 [email protected] Additional references available upon request