Special Tracks

Special Track 1:

Autonomous Medical Robotic Systems

The overarching objective of this track is to present new intelligent and autonomous system technologies for surgery, therapy, rehabilitation and diagnosis that will reduce the burden on healthcare systems by making medical interventions more efficient, accurate, accessible, and reliable. Autonomy in medicine can significantly enhance medical interventions by utilizing the advantages offered by the realtime data processing and decision-making capabilities of machines. The need for such technologies, which include robotic and wearable systems, stems from the long wait times for medical interventions. This need will be exacerbated by the projected increase in the number of seniors in the coming years.

Special Track Co-Chairs

Dario Farina
Imperial College London, UK

Mahdi Tavakoli
University of Alberta, AB, Canada


S. Farokh Atashzar
New York University, US


Special Track 2

Security and Resilience of Autonomous Cyber-Physical Systems

Cyber-physical systems have established themselves as critical building blocks for modern society. They can be found in energy, transportation, healthcare and robotics sectors. The tight integration of computational and telecommunication elements with application-based physical components provides and outstanding opportunity to engineer autonomous systems that can be adaptable and functional yet efficient. However, autonomy albeit advantageous in its convenience leads to natural concerns of trust and safety of these systems. Specifically, challenges exist in ensuring security and resilience. This special session aims to provide an exposition of leading-edge papers in the field of secure and resilient autonomous cyber-physical systems.

Special Track Co-Chairs

Deepa Kundur

University of Toronto, ON, Canada

Mohammad Al Janaideh

Memorial University of Newfoundland, NL, Canada


Special Track 3

Autonomous Control Systems

Autonomous systems refer to the class of engineering systems having the capability of self-government. On the other hand, autonomous control systems define how desired actions are achieved without human intervention. Nowadays, autonomous control systems are widely used in a variety of applications, including but not limited to Smart Transportation Systems, Smart Grids, and Industry 4.0. A fully autonomous system is a complex engineering system equipped with multi-disciplinary tools capable of sensing the exterior environmental conditions, withstanding plant or environmental uncertainties, and ensure resiliency to faults, malfunctions, and cyber threats. Therefore, the goal of this special session is to collect novel ideas and solutions in the broad research area of Autonomous Control Systems in both the signal processing and control systems research communities. The topics of interest include, but are not limited to:

  • Multi-agent systems
  • Networked and distributed control systems
  • Fault-detection and Fault-tolerant autonomous systems
  • Detection and mitigation of cyber-attacks against cyber-physical systems
  • Machine Learning and game theory for autonomous systems
  • Estimation and sensing problems in autonomous systems
  • Emerging applications of autonomous control systems in smart grid, transportation systems, industry 4.0, smart cities
Special Track Co-Chairs

Dr. Giuseppe Franze

University of Calabria, Italy

Walter Lucia

Concordia University, QC, Canada 


Special Track 4

Autonomous Transportation Systems

The past decade has seen the evolving of mobility demands from private automobile ownership to more flexible and sustainable shared-use mobility, such as ride sharing, ride-hailing, bike sharing, and car sharing. Integrated with public transit networks and other mass transportation systems, shared-use mobility provides sustainable ways of transportation that can accommodate diverse mobility needs of the public and, at the same time, reduce pollutant emissions. As an umbrella concept which incorporates emerging shared-use mobility services and their integration with transit networks, mobility on demand (MOD) offers a more user-centric approach through demand-responsive operations and more personal choices in mobility by leveraging the power of ubiquitous mobile internet and data-driven modeling and optimization. This workshop will focus on MOD transportation system modeling, analysis, operation and optimization. The focus is also on autonomous transportation systems and their integration with MOD to provide more responsive and cost-effective MOD services.   Potential topics of interest include, but are not limited to

  • Modeling, analysis, operation and optimization of MOD and autonomous transportation systems
  • Data-driven MOD and autonomous transportation systems
  • MOD, autonomous transportation, smart phone and social networks
  • Smart demand management in MOD and autonomous transportation systems
  • User-focused aspects and user interfacing with MOD and autonomous transportation
  • Connected mobility services and integrated transit networks
  • Vehicle allocation, scheduling, rebalancing in shared-use mobility and autonomous transportation systems
  • MOD case studies
  • Market mechanisms and pricing models for MOD
  • Electrification of MOD, vehicles, charging networks, and charging managemen 
Special Track Co-Chairs

Chun Wang
Imperial College London, UK

Anjali Awashti
University of Alberta, AB, Canada

Special Track 5

Signal Processing for Self Aware and Social Autonomous systems

Self-aware and social autonomous systems are methods/algorithms where the system senses and controls its dynamic in a highly uncertain environment, potentially in a decentralized manner with multiple agents. Examples of these systems include social systems formed by individuals and their friendship network, self-coordinated network of robots, and cyber-physical systems such as power networks. To this end, signal processing (SP) techniques seek to extract the useful information from the signals generated by these systems. The goal of this special track is to attract the contributions from world-leading researchers working in this emerging topic. Specific topics include but is not limited to:

  • Estimation and inverse problems for self-aware and social systems
  • Abnormality detection for self-aware and social systems
  • Multi-agent optimization techniques
  • Emerging techniques such as graph signal processing applied on self-aware and social systems
  • Innovative applications to emerging cyber-physical systems such as power, economic networks
Special Track Co-Chairs

Usman Khan
Tufts University, USA

Hoi-To Wai
Chinese University of Hong Kong, Hong Kong

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