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ACM SIGMETRICS-MEMBERS List <[log in to unmask]>
Tamer Nadeem <[log in to unmask]>
Wed, 3 Apr 2019 15:40:49 -0400
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Tamer Nadeem <[log in to unmask]>
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****** We apologize if you receive multiple copies of this CFP *****

******* Extended Submission Deadline: Sunday April 14, 2019 *******

Call For Papers
ThinkSys 2019
The First ACM International Workshop on Intelligent Mobile Systems,
Networks, & Applications: from Sensing to Thinking

In Conjunction with ACM MobiSys 2019 (
June 17-21, Seoul, South Korea

The past decade has seen a substantial development of mobile systems and
networks enabling the development of several novel mobile services and
applications. With the current extreme miniaturization of components of
many sensor systems, the availability of advanced computing resources, the
expansion of the Internet of Things (IoT), mobile systems and networks are
growing increasingly complex and becoming smarter. Smart mobile systems,
networks, and applications will be the major technology behind
smart-computing domains like smart homes, connected health, connected cars,
automated enterprise workflows, smart cities, and smart grids.

In recent years, the world has seen many major breakthroughs in machine
learning (ML) and artificial intelligence (AI) research. For example, the
recent researches in learning techniques have brought revolutionary
advances in machine learning allowing devices and systems to learn to
function on their own. By integrating the advances in mobiles systems and
the advances in machine learning, the future role of smart mobile systems,
networks, and applications is becoming limitless and it's expected to
revolutionize the future of the world within the next few years. This is
especially important as mobile systems generate ever-growing and evolving
collections of data, calling for dedicated ML/AI techniques capable of
handling streaming and lifelong learning problems.

ThinkSys'19 is focused on providing a significant contribution to the
problem of designing intelligent, robust, and adaptive mobile systems,
networks and applications with the aid of machine learning algorithms that
are able to autonomously and continuously adapt and improve their
performance. ThinkSys'19 aims at bringing together experts from several
research communities spanning mobile systems, networking, machine learning,
sensing, and big data to discuss significant contributions, community
interests, challenges to be addressed, tools to be developed, and new
research problems to the problem of designing intelligent, robust, and
adaptive mobile systems, networks and applications with the aid of machine
learning algorithms.

We encourage inter-disciplinary contributions bridging the gap between
machine learning and mobile systems and networks from either a theoretical
perspective or a practical point of view. We put special emphasis on
adaptive, evolving, and streaming ML systems, as well as on lifelong
learning architectures. The research topics of interest to ThinkSys 2019
workshop include (but are not limited to) the following:
* Theoretical foundations of ML for mobile systems, networks, and
* ML probabilistic and statistical models for mobile systems, networks, and
* ML techniques for sensing and sensor systems
* New knowledge discovery theories and models from mobile systems data
* Explainable AI and ML for mobile systems
* Mobile systems and network-oriented big data and data analytics
* Adaptive ML architectures for handling network-oriented evolving data
* ML techniques for lifelong learning from mobile and network data
* ML techniques for cloud and edge systems, applications and services
* New approaches of data pre-processing, post-processing, sampling
approaches, feature selection, and feature transformation for mobile
* Personalized/transfer learning for mobile systems
* ML for smart cities and cyber-physical systems.
* ML for the Internet of Things (IoT) devices, Complex systems, and
* Data collection and analytic techniques for mobile systems and
* Experiences in real-world mobile systems and applications
* Human factors in ML and human-ML interactions for mobile systems
* Privacy-protecting and secure ML
* ML for localization and location-based services
* Measurements, experimental systems and test-beds of smart mobile systems,
networks, and applications
* Blockchain and other consensus approaches for mobile systems and
* ML for cooperative driving, intelligent and autonomous vehicles
* ML for robotic networks and swarm intelligent computing domains
* ML for intelligent Wireless Communications and networking architecture

Workshop Co-Chairs
Tamer Nadeem, Virginia Commonwealth University, USA
Bartosz Krawczyk, Virginia Commonwealth University, USA

Important Dates
Paper submission deadline: April 14, 2019 (11:59:59pm PST) - Extended
Notification of acceptance: April 21, 2019
Camera-ready copy due: May 1, 2019
Workshop date: June 21, 2019

Submission Guidelines
All submissions must be original research not under review at any other
venue. Submissions will be evaluated on the basis of technical quality,
novelty, potential impact, and clarity. Solicited submissions include both
full technical workshop papers and white position papers. The maximum
length of such submissions is 6 pages, and if accepted they will be
published by ACM and appear in the ACM Digital Library.

Formatting for all submissions (excluding page length) must adhere to the
guidelines here: All
submissions must be uploaded to the workshop submission site:

In accordance with the MobiSys 2019 Conference, this workshop will adopt
the double-blind review policy. Any questions regarding submission issues
should be directed to Tamer Nadeem ([log in to unmask]).

Workshop webpage:

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