Art Machines: International Symposium on Computational Media Art (ISCMA 2019)
Event Dates: 4-7 January 2019
Event Details:
The open call invites papers and proposals on the following research topics. Please signal which broad area(s) your paper or proposal falls under when you make your submission.
- Machine Learning and Art (core theme)
- Sound Art
- Immersive Media
- Digital Cinema
- Digital Animation
- Gaming
- Computational Humanities
- Creative Coding
- Urban Media
- Digital Fabrication
- Physical Computing
- Digital Preservation
- Curatorial Practice
- Brain Computer Interface
- Other Topics Pertaining to Computational Media Art
Submission deadline: 1 September 2018
Event Website: https://www.cityu.edu.hk/iscma/

Michael Bach is nationally and internationally recognized as a thought leader and subject matter expert in the fields of diversity, inclusion and employment equity, bringing a vast knowledge of leading practices in a live setting to his work. He has deep experience in strategy development, stakeholder engagement, training and development, research, solution development and execution, employee engagement, data analytics, measurement and diversity scorecards, targeted recruiting strategies, marketing and communications, Employee Resource Groups, Diversity Councils, and diversity related legislation (Employment Equity Act, AODA, etc.) among other skills and experiences related to field of diversity and inclusion.
Mashhuda Glencross career has spanned academia technical product management, independent consulting and working with start-ups. Her research focus is on creating effective virtual environments (VR/AR/XR) and has included 3D reconstruction, distributed VR, real time massive model rendering, visual perception, IoT, Visualisation and haptics. Her work has been published in high impact journals and conferences such as SIGGRAPH, TOG, TOCHI, IEEE TVCG, IEEE VR. She has also served on SIGGRAPH programme committees and reviewed for international conferences and journals. She is a current member of the ACM PACM steering committee and an associate editor for Computers and Graphics.
Kevin Griffin is a Group Leader for the Weapons Information & Infrastructure Integration Group at Lawrence Livermore National Laboratory in Livermore, California. Kevin is also a Software Engineer and Scientific Visualization Researcher for LLNL serving as one of the key developers for VisIt, a distributed, parallel visualization and graphical analysis tool for data defined on two- and three-dimensional meshes. He also serves as the technical lead for PyDV, a one-dimensional graphics and data analysis tool.
Dr. Aruquia Peixoto is an Assistant Professor at CEFET/RJ in Rio de Janeiro, Brazil. She have a B.S. in Mathematics from UFRJ (Federal University of Rio de Janeiro), a M.S. in Engineering of Computing and Systems from COPPE/UFRJ and a PhD in Mechanical Engineering from PUC/RJ, all these institutions are in Rio de Janeiro, Brazil, and are some of the best universities in Brazil. She worked in the implementation of the State University of Roraima in the extreme north of Brazil, in 2006. She advised undergraduate students in scientific projects in UERJ (State University of Rio de Janeiro), where she win four prizes as co-advisor, working with Paulo Rogerio Sabini, two prizes in UERJ, one as best work of Mathematics, and other as one of three best work in the technological field, and she have two honorable mention in a national student’s projects presentations in the Jornadas de Inicação Científica organized by IMPA (National Institute of Pure and Applied Mathematics). She is member of the ACM SIGGRAPH International Resources Committee since 2013, member of the SIGGRAPH Asia Symposium on Education Committee in 2016 and 2017, and co-organized the meetings Women in CG in SIGGRAPHand SIGGRAPH Asia Conferences, organized the meeting Girls in STEM in SIGGRAPH Asia in 2016 and 2017. During the year 2016 to 2017 she was visiting faculty at University of Kansas. In the conference IEEE EDUCON irganized and was the moderator of the roundtable Women in Engineering: Issues and Perspectives in 2017 and in 2018 was panelist of the round table Women in engineering: Addressing the gender gap, exploring trust and our unconscious bias and was the organizer and chair of the special session IDEE (Inclusion and Diversity in Engineering Education).
Artist and technologist Daniel Gene Pillis is a Research Assistant Professor in Immersive Environments at Virginia Tech’s Institute for Creativity, Arts and Technology. Their team pursues research at the intersection of queer theory, virtual reality, and embedded forms of consciousness in objects and narrative experiences. Diversity and technology, robotics archaeology, and methods for interacting with and understanding the phenomena of time, aging, and history are all current areas of research. Pillis was previously researcher and artist-in-residence at the Robotics Institute at Carnegie Mellon University with Dr. Christopher Atkeson, where they focused on soft machines and inflatable robotics. They hold a Masters degree focusing on Virtual Reality and Immersive Environments from Carnegie Mellon University, where they worked with the father of computer graphics, Ivan E. Sutherland, as well as esteemed computer scientist Jessica Hodgins. Previously, Pillis received a Bachelors in Cognitive Science from Rutgers University, where they conducted research in the Decision Making Laboratory with Dr. Gretchen Chapman. Pillis has exhibited work at the Warhol Museum, (Pittsburgh, PA) the Leslie Lohman Museum of Queer Art, (NYC), Newark Penn Station, (Newark, NJ) and has performed at the Museum of Contemporary Art, (Cleveland, OH), Open Engagement International Conference (Pittsburgh PA) and the Theatre for the New City in the East Village (NYC), as well as numerous other galleries and internet venues.
Hello, I am Natalie Rountree, and I graduated from Middle Tennessee State University in 2014 with a Bachelor's of Science with a focus in Digital Animation. After going to my first SIGGRAPH conference in 2014 as a student volunteer, I was hooked as soon as I picked up my SV T-shirt. I applied the next year as a Team Leader and got an amazing opportunity to grow within the conference community. I continued that role for the next 2 years after, in the mean time talking about a possible focus area to highlight adaptive technology within the conference. One of my dreams came true and I am honored I get to Co-chair the Adaptive Technology Focus Area at SIGGRAPH 2019.
Caroline Simard is passionate about building better workplaces for women through evidence-based solutions. As Managing Director of the Stanford VMware Women's Leadership Innovation Lab, she is responsible for the execution of the research agenda, business operations, and people management. She also leads the Lab's Corporate Affiliates program. Previously, she was Senior Director of Research.

Jose M. Alvarez is a Senior Deep Learning Engineer at NVIDIA working on scaling-up deep learning for autonomous driving. Previously, he was a senior researcher at Toyota Research Institute and at Data61/CSIRO (formerly NICTA) working on deep learning for large scale dynamic scene understanding. Prior to that, he worked as a postdoctoral researcher at New York University under the supervision of Prof. Yann LeCun. He graduated with his Ph.D. from Autonomous University of Barcelona (UAB) in October 2010, with focus on robust road detection under real-world driving conditions. Dr. Alvarez did research stays at the University of Amsterdam (in 2008 and 2009) and the Electronics Research Group at Volkswagen (in 2010) and Boston College. Since 2014, he has served as an associate editor for IEEE Transactions on Intelligent Transportation Systems.
Jose has 20 + years of industry, working at tech giants such as IBM, Microsoft and Uber in areas that range from real-time communications to enterprise security systems. In 2006 he focused his career on Machine Learning, working on content filtering solutions for Family Safety at Microsoft, where he headed the delivery of the first SmartScreen anti-phishing solution for Internet Explorer 7. He later drove the development of paid search relevance models for mobile devices at Bing Ads and worked on applying Machine Learning to geospatial problems at Bing Maps, continuing that work after joining Uber in 2015. In 2017 he joined the
Miguel Ferreira after helping brands, like Ferrero, De Agostini, MindChamps, shape the mobile entertainment space, he is now Senior Software Engineer at CVEDIA, where he pushes the boundaries of real-time rendering, developing sensor models for cutting-edge deep learning applications.
Ming C. Lin is currently the Elizabeth Stevinson Iribe Chair of Computer Science at the University of Maryland College Park and John R. & Louise S. Parker Distinguished Professor Emerita of Computer Science at the University of North Carolina (UNC), Chapel Hill. She is also an honorary Chair Professor (Yangtze Scholar) at Tsinghua University in China. She obtained her B.S., M.S., and Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley. She received several honors and awards, including the NSF Young Faculty Career Award in 1995, Honda Research Initiation Award in 1997, UNC/IBM Junior Faculty Development Award in 1999, UNC Hettleman Award for Scholarly Achievements in 2003, Beverly W. Long Distinguished Professorship 2007-2010, Carolina Women’s Center Faculty Scholar in 2008, UNC WOWS Scholar 2009-2011, IEEE VGTC Virtual Reality Technical Achievement Award in 2010, and many best paper awards at international conferences. She is a Fellow of ACM, IEEE, and Eurographics.
Dinesh Manocha is the Paul Chrisman Iribe Chair in Computer Science & Electrical and Computer Engineering at the
German Ros is a Research Scientist at
Philipp Slusallek is Scientific Director at the German Research Center for Artificial Intelligence (DFKI), where he heads the research area on Agents and Simulated Reality. At