June Zhang (Zhong-Ju Zhang)



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(Zhong-Ju Zhang) Carnegie Mellon University Dept. Electrical and Computer Engineering, 5000 Forbes Ave. Pittsburgh, PA 15213 Phone: 678-899-2492 E-Mail: junez@andrew.cmu.edu http://users.ece.cmu.edu/~junez Education Ph.D. Carnegie Mellon University, Pittsburgh, PA, USA Electrical and Computer Engineering, expected graduation: Aug 2015 Thesis Title (tentative): Impact of Network Topology on Epidemics and Cascading Failures M.S. Stanford University, Stanford, CA, USA Electrical and Computer Engineering, June, 2008 B.S. Georgia Institute of Technology, Atlanta, GA, USA Electrical and Computer Engineering, May, 2005, graduated summa cum laude Honors & Awards 2015-2016, Microsoft Azure Research Award 2014, CMU 3-Minute Thesis Competition Semifinal winner 2005-2008, National Science Foundation (NSF) Graduate Research Fellowship 2001-2005, Georgia HOPE Scholarship 2004-2005, Georgia Tech President s Undergraduate Research Award 2003, IEEE Atlanta Chapter Scholarship Research & Professional Experiences Carnegie Mellon University, Pittsburgh, PA, USA Graduate Researcher (Electrical and Computer Engineering Dept.) Sept 2010-present Developed quantitative, stochastic dynamical model for analyzing robustness and resilience of large-scale networks to spread of virus, spread of rumors, and cascading failures. Exactly identified vulnerable substructures in steady-state in large-scale networks (> 4000 nodes) using Maxflow-Mincut algorithm. Model relates subgraph density to susceptibility to infection/failure. Thesis work uses dynamical systems theory, stochastic process, graph theory, statistical mechanics, and discrete optimization. Tsinghua University, Beijing, China Visiting Researcher (Electronics Engineering Dept.) March. 2009-Dec 2009 Researched upper-body human pose detection from still photo using graph-cut skin detection algorithm. Edited conference and journal papers.

Page 2 Stanford University, Stanford, CA, USA Graduate Student (Electrical and Computer Engineering Dept.) ME310: Team Based Design (w/ Audi AG) Collaborated with students from TU München to design and implement posture improvement device in Audi A6. Sept 2006-June 2007 Multiple user testing to develop what it means to improve driver fitness. CS 294H: Integrating Physical and Digital Interaction Created interactive system using capacitive sensing table, camera, and projector to explore interactive, co-located multiple users visual design experience. San Jose Panasonic Research Laboratory, San Jose, CA, USA Part-time Consultant Developed multi-screen, touch-based interactive device. Rapid prototyping through user feedback. Georgia Institute of Technology, Atlanta, GA, USA Undergraduate Researcher (Electrical and Computer Engineering Dept.) Jan 2005-June 2005 Apr 2007-Sept 2007 Aug 2004-Aug 2005 Built test-bed for measuring indoor wireless signal strength for studying multipath fading. Interests network science, dynamic processes on networks, complex network systems, network visualization, machine learning, image processing, tangible user interface, design methodology Leadership Experiences Carnegie Mellon University - Energy and Information Systems (EIS) Seminar, student coordinator/webmaster Jan 2013-Jan 2015 Sept 2012-Aug 2013 Sept 2011-Aug 2012 Sept 2010-Aug 2011 Teaching Experiences Carnegie Mellon University - Teaching Assistant (18-202, Mathematical Foundations of Electrical Engineering) Leading recitation lectures for 60+ students to introduce mathematical theory such as set theory, complex analysis, etc. to sophomore/junior undergraduates. Aug 2014-present

Page 3 Carnegie Mellon University - Graduate Mentor Mentoring M.S. student for independent research project on visualization of large-scale networks. Carnegie Mellon University - Teaching Assistant (18-290, Signals and Systems) Led recitation lectures, held office hours, made and graded exams for sophomore/junior level introduction class to linear systems, Fourier and Laplace transforms. North China University of Technology, Beijing, China Visiting Research (Electronics Engineering Dept.) Co-taught Introduction to Probabilistic Graphical Model to M.S. students. Aug 2014-present Jan 2011-May 2011 Jan 2010-June 2010 Invited Talks Impact of Topology on Epidemics and Cascading Failures, Sandia National Laboratory, Albuquerque, USA. Impact of Topology on Dynamical Processes on Networks: Connectivity and Competition Matters, Seminar Series, Santa Fe Institute, Santa Fe, USA. Impact of Topology on Dynamical Processes on Networks, IS&T Seminar Speakers Series, Los Alamos National Laboratory, Los Alamos, USA. Who are the Most Vulnerable Agents in a Network? Energy and Information Systems Seminar, Georgia Tech Research Institute, Atlanta, USA. Graph Structure and Vulnerable Agents in a Network, Business Technology Seminar, Tepper School of Business Carnegie Mellon University, Pittsburgh, USA. Who are the Most Vulnerable Agents in a Network? Energy and Information Systems Seminar, Carnegie Mellon University, Pittsburgh, USA. Who are the Most Vulnerable Agents in a Network? Machine Learning and the Social Sciences Seminar, Carnegie Mellon University, Pittsburgh, USA. Topology and Network Diffusion Processes, Electrical and Computer Eng., Instituto Superior Técnico, Lisbon, Portugal. June 8, 2015 Apr 27, 2015 Apr 22, 2015 Dec 5, 2014 Nov 14, 2014 Oct 27, 2014 Sept 29, 2014 May 20, 2014 Publications J. Zhang and J.M.F. Moura, Dynamic bond percolation impact of local network structures, in preparation. J. Mohammadi, J. Zhang, S. Kar, G. Hug, J.M.F. Moura, Multilevel distributed approach for DC optimal power flow, submitted.

Page 4 J. Zhang and J.M.F. Moura, Contact process with exogenous infection and the scaled SIS process, submitted. J. Zhang and J.M.F. Moura, Roles of subgraphs in network epidemics under the scaled SIS process, Journal of Complex Networks, 2015. J. Zhang and J.M.F. Moura, Diffusion in social networks as SIS epidemics: beyond full mixing and complete graphs, IEEE Journal of Selected Topics Signal Processing on Social Networks, 2014. J. Zhang and J.M.F. Moura, Dynamic bond percolation in networks, Proc. of the 2 nd IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA, Dec. 2014. J. Zhang and J.M.F. Moura, Subgraph density and epidemics over networks, in Proc. of the 39 th International Conferences on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014. J. Zhang and J.M.F. Moura, Threshold behavior of epidemics in regular networks, in 38 th Proc. of the IEEE International Conferences on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013, pp. 5411-5414. J. Zhang and J.M.F. Moura, Epidemic process on fixed networks, in 1 st IEEE/ACM Workshop on Signal Processing Advancement in Sensor Networks, Philadelphia, USA, 2013. J. Zhang and J.M.F. Moura, Accounting for topology in spreading contagion in non-complete networks, in 37 th Proc. of the IEEE International Conferences on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 2012, pp. 2681-2684. J. Zhang, LightCast: a tangible user interface creativity support tool for visual design, in Proc. of 2006 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Orange County, CA, 2006. K U-Yen, M. Ahn, Z-J. Zhang, J.S. Kenney, Effects of microwave switch isolation on a butler matrix beamforming network in smart antenna systems, in Proc. of Radio and Wireless (RAW) Conference, Atlanta, GA, 2004. Academic & Processional Society IEEE, student member IEEE Signal Processing Society, student member Reviewers 2014 IEEE 53 rd Annual Conference on Decision and Control (CDC) 2015 IEEE 54 rd Annual Conference on Decision and Control (CDC) References Dr. José M.F. Moura Philip L. and Marsha Dowd University Professor, Carnegie Mellon University moura@ece.cmu.edu (412) 268-6341 Dr. Soummya Kar Assistant Research Professor, Carnegie Mellon University soummyak@andrew.cmu.edu (412) 268-8962

Page 5 Dr. Pulkit Grover Assistant Professor, Carnegie Mellon University pgrover@andrew.cmu.edu (412)268-3644