IEEE-iSES 2020 : 6th IEEE International Symposium on Smart Electronic Systems

1. Key Theme

The primary objective of IEEE-iSES (formerly IEEE-iNIS) is to provide a platform for both hardware and software researchers to interact under one umbrella for further development of smart electronic systems. Efficient and secure data sensing, storage, and processing play pivotal roles in current information age. The state-of-the-art smart electronic systems cater to the needs of efficient sensing, storage, and computing. At the same time, efficient algorithms and software used for faster analysis and retrieval of desired information are becoming increasingly important. Big data which are large, complex data sets, are now a part of the Internet world. Storing and processing needs of the enormous amount of structured and unstructured data are getting increasingly challenging. At the same time, Internet of Things (IoT) and cyber-physical systems (CPS) have been evolving with simultaneous development of hardware and software and span across everyday consumer electronics. The performance and efficiency of the present as well as the future generations of computing and information processing systems are largely dependent upon advances in both hardware and software. IEEE-iSES has been initiated as a sponsored meeting of Technical Committee on VLSI, IEEE-CS (http://www.ieee-tcvlsi.org/) that endorses a league of successful meetings including ASAP, ISVLSI, and ARITH, are now presented as “Sister Conferences”.

2. Different Tracks

1) Nanoelectronic VLSI and Sensor Systems (NVS)

Different revolutionary and evolutionary technologies in nanoscale have evolved to cater to the need of future generation computing and information processing. Some of the thrust areas in this domain include: (a) Nanotechnologies, nanowire, nanotubes and nano-sensors, (b) Molecular electronics, bio-sensors, bio-molecular and biologically-inspired computing, (c) Nanoelectronics for energy harvesting, (d) Spintronics, domain-wall, and phase-change memories, (e) Memristor and memristive systems, (f) Advanced 3D IC technologies, design techniques, and 3D packaging, (g) On-chip interconnection network design, modeling, and simulation, (h) GPU, HPC, and large-scale cloud-based computing, (i) Quantum computing, communication, and information processing, (j) Application specific circuit, system, and sensor design using nanoelectronics, (k) Chip to System design for critical applications, (l) Electronic design automation (EDA) or computer-aided design (CAD) methods covering these areas.

2) Energy-Efficient, Reliable VLSI Systems (ERS)

Consumption of energy or power dissipation has become a major issue in today’s nanoelectronic and information processing systems. Researchers are trying to address and overcome this critical bottleneck in different ways. Some of the major thrust areas are as follows: (a) Energy efficient hardware-software design and co-synthesis, (b) Energy efficient applications using field-programmable gate arrays (FPGAs), (c) Sustainability of energy efficient applications, (d) Dynamic power management, (e) Modeling, simulation, and validation, (f) Energy generation, recovery, and management systems, (g) Reliability analysis, modeling, and reliable system design, h) Low-power wearable and implantable systems, (i) Multi-core systems, Network-on-Chip, and MPSoCs, (j) Reversible Circuits and Systems, (k) Reconfigurable Systems, (l) Microfluidics and Biochips, (m) Electronic design automation (EDA) or computer-aided design (CAD) methods covering these areas.

3) Hardware/Software for Internet of Things and Consumer Electronics (IoT)

IoT envisions the development of tools, techniques, and standards to make ‘things’ more intelligent and programmable to develop more capable ‘things’ to address the necessity of human beings. It covers all types of sensors, communication protocols, computational tools, techniques, devices, processors, embedded systems, data warehousing, big data, cloud computing, server farms, grid computing etc. Topics of interests include the followings: (a) IoT architecture, (b) IoT enabling technologies, services, and applications, (c) IoT system integration, management, and standards, (d) IoT big data analytics, (e) IoT security and privacy concerns, (f) IoT at nanoscale, (g) Emerging hardware/software solutions for IoT, (h) Hardware and software solutions for smart cities, (i) IoT applications in areas of healthcare, agriculture, transport, waste management, (j) Hardware and software based systems for aerotropolis, (k) emerging nanoelectronics for smart consumer electronics covering these areas.

4) Hardware for Secure Information Processing (SIP)

Due to ever increasing demand of network and information contents, hardware capacity for storage, analytics, and processing are catching the eyes of researchers to provide efficient solution to the above. Some of the thrust areas are as follows: (a) Circuits and systems for digital rights management (DRM), watermarking, and encryption, (b) Data protection strategies and controls, (c) Mobile security and bring your own device (BYOD), (d) Medical device security, (e) Cyber security, (f) Emerging embedded solutions for security covering these areas.

5) Hardware/Software for AI, Robotics, and Automation (AIR)

Artificial Intelligence, robotics and automation have gained quintessential prominence in the workplace. Rapidly increasing research focus on building robots and automation systems that can make difference in the quality of human life. The days are not far away when humanoid robots become common in many homes and offices. Topics in this track include, but are not limited to (a) Networked and Distributed Intelligent Controls, (b) Adaptive Control Systems, (c) Mobile and Autonomous Systems, (d) Multi-Agent Collaborative Systems (MACS), (e) Biorobotics and Biomechatronics, (f) Space and Underwater Robotics, (g) Service and Security Robotics, (h) Humanoid Robots, (i) Human-Machine Interfaces and Interaction, (j) Robotics and Industrial Monitoring, (k) Vision Systems for Automation and Robotics, (l) Smart Sensors and Sensor Fusion and (j) Digital and virtual manufacturing & automation systems.

6) Hardware/Software for Vehicular Intelligent Systems (VIS)

All major automotive companies enter the race towards highly automated and autonomous vehicles. Plethora of challenges emerges in the process of having the vehicle recognize objects, localize itself precisely and make intelligent decisions. Authors are invited to submit papers that fall into the area of intelligent vehicles, which include but not limited to the following: (a) Advanced driver assistance systems, (b) Advanced Sensing and Recognition, (c) Automated Vehicles, (d) Connected Vehicles, (e) Cognition and Control, (f) Driver Monitoring, (g) Human factors and Ergonomics, (h) Intelligent Electrified Vehicles, (i) Navigation and Localization Systems, (j) Vehicle Onboard Diagnostics, (k) Vehicular Signal Processing.