IEEE SSCI 2020 – Paper Submission Open – Accepted Tutorials

June 2nd, 2020

Daniela Lopez de Luise

2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE

1-4 December 2020, Canberra, Australia ieeessci2020.org

On behalf of the SSCI 2020 Organizing Committee, it is our great pleasure to invite you to the IEEE Symposium Series on Computational Intelligence.

IEEE SSCI co-locates 50 symposia under one roof, each dedicated to a specific topic in the CI domain, thereby encouraging cross-fertilization of ideas and providing a unique platform for top researchers, professionals, and students from all around the world to discuss and present their findings. Click here to view the full List of Symposiums.

Important Dates:

1 April 2020	Tutorials, Workshops and Special Sessions Proposals
15 April 2020	Accepted Workshops and Special Sessions Announced
6 July 2020	Accepted Tutorials Announced
7 August 2020	Paper Submission Deadline (no extension)
4 September 2020	Notification to Authors
18 September 2020	Camera Ready Version and Early Registration Deadline
1-4 December 2020	Conference Dates

Paper Submission is Now Open (https://ieee-cis.org/conferences/ssci2020/upload.php):

– 50 symposiums on all aspects of computational intelligence.

– Tutorials on research and applications of computational intelligence.

– A unique platform encouraging cross-fertilization of ideas and communication around the world's top researchers, professionals and students.

– Co-located with the Canberra Artificial Intelligence Summer School, Women in Artificial Intelligence Events, and the 33^rd Australasian Joint Conference on Artificial Intelligence.

– Proceedings by IEEE Xplore.

– Technically supported by IEEE.

– Online options available due to ongoing uncertainty caused by COVID-19.

– Submission instructions are available via the Submission Page.

– Be Safe, Be Healthy, Be Happy, and Be ready to submit your best work to IEEE SSCI on time.

Accepted Tutorials:

– Artificial Intelligence-based Uncertainty Quantification: Importance, Challenges, and Solutions

– Artificial Intelligence using Neural Networks: From Perceptron to Deep Neural Networks

– Ethical Challenges and Opportunities within Computational Intelligence System Development

– Handling Data Streams in Continual and Rapidly Changing Environments

– Insight into Fuzzy Modeling Techniques for Data Analysis

– Tensor for Machine Learning

Confirmed Keynote Speakers:


	Sylvie Thiebaux, Australian National University, Australia. – Sylvie Thiebaux is a professor of computer science at the Australian National University. Her research interests are in automated planning, scheduling, diagnosis, and search, their integration with optimisation, machine learning, and verification, as well as their applications to energy and transport. Her recent work, which has received multiple academic and industry awards, focuses on handling constraints in planning under uncertainty, on learning generalised policies and heuristics, and on coordinating distributed energy resources to benefit their owners, the distribution grid, and energy markets. Sylvie is a a fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and a co-editor in chief of the Artificial Intelligence journal. She is a former councilor of AAAI, co-chair and president of the International Conference on Automated Planning and Scheduling (ICAPS), and director of the Canberra Laboratories of NICTA.
	Una-May O'Reilly, Massachusetts Institute of Technology, US. – Una-May O'Reilly is a founder and co-leader of the AnyScale Learning For All (ALFA) group at Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory. ALFA focuses on scalable machine learning, evolutionary algorithms, and frameworks for large scale knowledge mining, prediction and analytics. The group has projects in clinical medicine knowledge discovery, wind energy and MOOC technology. She received the EvoStar Award for Outstanding Achievements in Evolutionary Computation in Europe in 2013. She is a Junior Fellow (elected before age 40) of the International Society of Genetic and Evolutionary Computation, now ACM Sig-EVO. She now serves as Vice-Chair of ACM SigEVO. She served as chair of the largest international Evolutionary Computation Conference, GECCO, in 2005. She has served on the GECCO business committee, co-led the 2006 and 2009 Genetic Programming: Theory to Practice Workshops and co-chaired EuroGP, the largest conference devoted to Genetic Programming. In 2013 she inaugurated the Women in Evolutionary Computation group at GECCO. She is the area editor for Data Analytics and Knowledge Discovery for Genetic Programming and Evolvable Machines (Kluwer), and editor for Evolutionary Computation (MIT Press), and action editor for the Journal of Machine Learning Research.
	Haizhou Li, National University of Singapore, Singapore. – Haizhou Li is currently a Professor at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). Prior to joining NUS, he was the Principal Scientist and Department Head of Human Language Technology in the Institute for Infocomm Research, Singapore (2003-2016). Prof. Li’s research interests include speech information processing, natural language processing, and human-machine interface. Prof. Li has served as the Editor-in-Chief of IEEE/ACM Transactions on Audio, Speech and Language Processing (2015-2018), a Member of the Editorial Board of Computer Speech and Language (2012-2018), and a Member of IEEE Speech and Language Processing Technical Committee (2013-2015). He was the President of the International Speech Communication Association (ISCA, 2015-2017), the President of Asia Pacific Signal and Information Processing Association (2015-2016), and the President of Asian Federation of Natural Language Processing (2017-2018). He was the General Chair of ACL 2012, INTERSPEECH 2014, and IEEE ASRU 2019. Prof. Li is a Fellow of the IEEE, and a Fellow of ISCA. He was a recipient of the President’s Technology Award 2013 in Singapore. He was named one of the two Nokia Visiting Professors in 2009 by the Nokia Foundation, and U Bremen Excellence Chair Professor in 2019 by Bremen University, Germany.