IEEE Circuits and Systems Society Newsletter | Volume 15 | Issue 2 | April 2021 | CURRENT/PAST ISSUES


CAS Publications Digital Outreach Video Series

Video One

Explore "Towards a Portable Platform Integrated With Multispectral Noncontact Probes for Delineating Normal and Breast Cancer Tissue Based on Near-Infrared Spectroscopy" in the video linked below. This is the first video in the CAS Publications Digital Outreach Video Series, hosted by the CAS Digital Communications AdHoc Committee. 

In this paper, published in the IEEE Transactions on Biomedical Circuits and Systems, a novel tool based on near-infrared spectroscopy (Spectral-IRDx) is introduced as a portable, non-contact, and cost-effective system that could provide a rapid and accurate diagnosis of breast cancer. To access the full article, please visit:



Video Two

Learn more about the IEEE Transactions on Circuits and Systems Part II: Express Briefs paper "1.2-V Energy-Efficient Wireless CMOS Potentiostat for Amperometric Measurements" in the second CAS Publications Digital Outreach video.

This brief presents a CMOS potentiostat that integrates a control amplifier, a dual-slope ADC, and a wireless unit on the same chip. To access the full paper, please visit:


Video Three

Explore "The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices" in the third CASS Digital Outreach Video. 

In this paper, published in the IEEE Transactions on Circuits and Systems I, the authors aim to provide an overview of the recent hardware and algorithm co-design schemes enabling efficient processing of DNNs by highlighting algorithm optimization methods for DNN structure, neurons, synapses, and data types.


JETCAS Special Issue on Stability and Robustness of 
Power Grids with High Penetration of Power Electronics

The IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) proudly published its 2021 January Issue to demonstrate the latest research in stability and robustness of power grids with high penetration of power electronics. This issue features a total of twenty (20) high-quality, novel contributions, touching on (1) modeling of grid-connected converter system, (2) stability-enhanced control for converters interacting with a power grid, and (3) robustness and optimization of power grids with high power electronics penetration. We hope you enjoy the contents of this special issue.

Guest Editorial Stability and Robustness of Power Grids With High Penetration of Power Electronics
Meng Huang; Josep M. Guerrero; Tyrone Fernando; Sinan Li; Chi K. Michael Tse

Nonlinear Modeling of Multi-Converter Systems Within DC-Link Timescale
Ziqian Yang; Jiawei Yu; Jürgen Kurths; Meng Zhan

Small-Signal Stability Analysis Method for Hybrid AC–DC Systems With Multiple DC Buses
Yang Li; Zhikang Shuai; Junbin Fang; Xiangyang Wu; Z. John Shen

Dynamic Inertia Evaluation for type-3 Wind Turbines Based on Inertia Function
Xiang Guo; Donghai Zhu; Xudong Zou; Bingchen Jiang; Yihang Yang; Yong Kang; Li Peng

Analytical Determination of Fast-Scale Instability Boundaries for Current Mode Controlled DC–DC Converters With CPL and Closed Voltage Loop
Abdelali El Aroudi; Mohammed S. Al-Numay; Reham Haroun; Guidong Zhang

Transformerless Three-Level Flying-Capacitor Step-Up PV Micro-Inverter Without Electrolytic Capacitors
Wenlong Qi; Minghao Wang; Sinan Li

Resilient Power Converter: A Grid-Connected Converter With Disturbance/Attack Resiliency via Multi-Timescale Current Limiting Scheme
Xiaoming Zha; Yushuang Liu; Meng Huang

Enhancing Transient Stability of PLL-Synchronized Converters by Introducing Voltage Normalization Control
Chao Wu; Xiaoling Xiong; Mads Graungaard Taul; Frede Blaabjerg

Maximum Virtual Inertia From DC-Link Capacitors Considering System Stability at Voltage Control Timescale
Qiao Peng; Jingyang Fang; Yongheng Yang; Tianqi Liu; Frede Blaabjerg

Impedance-Based Analysis of Control Interactions in Weak-Grid-Tied PMSG Wind Turbines
Bin Liu; Zhen Li; Xi Zhang; Xiaoliang Dong; Xiangdong Liu

Coordinated Control Strategy of Virtual Synchronous Generator Based on Adaptive Moment of Inertia and Virtual Impedance
Mingwei Ren; Tong Li; Kai Shi; Peifeng Xu; Yuxin Sun

Stability Improvement of Pulse Power Supply With Dual-Inductance Active Storage Unit Using Hysteresis Current Control
Ping Yang; Xi Chen; Rongqian Chen; Yusheng Peng; Songrong Wu; Jianping Xu

A Novel Power and Signal Composite Modulation Strategy for CCC-Based SRG in Distributed Microgrid
Yingchun Hua; Dongsheng Yu; Kecheng Li; Yihua Hu; Tyrone Fernando

Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures
|Junyuan Fang; Jiajing Wu; Zibin Zheng; Chi K. Tse

Distributed Sliding Mode Observer-Based Secondary Control for DC Microgrids Under Cyber-Attacks
Yajie Jiang; Yun Yang; Siew-Chong Tan; Shu Yuen Hui

Deception Attack Detection of Isolated DC Microgrids Under Consensus- Based Distributed Voltage Control Architecture
Donghan Shi; Pengfeng Lin; Yu Wang; Chia-Chi Chu; Yan Xu; Peng Wang

Design of Nonlinear Droop Control in DC Microgrid for Desired Voltage Regulation and Current Sharing Accuracy
Yaoyao Zhang; Xiaohui Qu; Maodong Tang; Ruoyu Yao; Wu Chen

Frequency Trajectory Planning Based Strategy for Improving Frequency Stability of Droop-Controlled Inverter Based Standalone Power Systems|
Liansong Xiong; Lei Liu; Xiaokang Liu; Yonghui Liu

A Novel Node Flexibility Evaluation Method of Active Distribution Network for SNOP Integration
Yewei Chen; Jianjun Sun; Xiaoming Zha; Yanhong Yang; Feng Xu

Optimal Allocation and Sizing of Synchronous Condensers in Weak Grids With Increased Penetration of Wind and Solar Farms|
Sajjad Hadavi; Milad Zarif Mansour; Behrooz Bahrani

A Completely Distributed Economic Dispatching Strategy Considering Capacity Constraints
Hua Han; Xinyu Chen; Zhangjie Liu; Yonglu Liu; Mei Su; Shimiao Chen

An-Yeu (Andy) Wu (Editor-in-Chief)
Ho Ching (Herbert) Iu (Associate Editor-in-Chief)
Wen-Hsiao Peng (Associate Editor-in-Chief for Digital Communications)


JETCAS Special Issue - Call for Papers: Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence

Scope and Purpose

Artificial intelligence (AI) and robotics technology continue to have a major role in enabling future smart cities, transportation, surveillance, logistics, smart sensing, home health care, and medical technologies. These fields rely on large data-driven approaches and highly computation-intensive algorithms and tend to compute in the cloud and data centers. Local processing on an embedded device is often required to provide low latency and less dependence on the communication link for bandwidth and privacy/security concerns. However, processing locally on a device is very challenging due to limited memory storage and battery capacity. This proposal invites researchers to submit state-of-the-art computing methods through cross-layer design approaches in algorithms, architecture, hardware, and system integration, which will enable micro-intelligent systems to perform on-device sensor data analytics and various AI tasks at extremely low power.

In particular, this special issue seeks contributions encompassing the following broad scopes:

  • AI model design: Novel reinforcement learning-based neural architecture search (NAS) methods generally aim to automatically explore the least computationally complex AI models that meet a targeted accuracy. Nevertheless, these searching methods seldom take into account the challenges of deploying the computationally-reduced AI model at the edge (hardware). This topic covers NAS methods that jointly explore efficient AI models including artificial neural networks (ANNs), deep neural networks (DNNs), recurrent neural networks (RNNs), and spiking neural networks (SNNs), etc., for feasible implementation on resource-bound hardware.
  • Hardware design methodology: This topic covers novel approaches of task scheduling, tiling scheme, and data movement with various implementation styles and goals such as energy, power, and timing. Implementation styles such as in-memory computing, near-memory processing, and systolic array architecture, as well as techniques considering tradeoffs among computation and communication, the arrangement of processing engines, selection of fixed/floating-point/flexible hardware data width, and their impact on timing, power, performance, and energy efficiency are worthy of consideration in this topic.
  • Memory hierarchy and data movement: In high dimensional AI models, the memory footprint dominates the silicon area, and the energy and delay overheads resulting from memory communication for implementing the AI models are significantly higher as compared to computation. Methods of efficiently implementing pruned or compressed AI models as well as different methods of data movement through different levels of the memory hierarchy (e.g., from DRAMs to SRAMs), and precise/flexible size allocation to different memory levels are among the issues to be addressed in this topic.
  • Flexibility and reliability: While small AI models can be more conveniently implemented at the edge, the implementation of large models is still a challenging task for the resource-bound hardware. Meanwhile, the susceptibility of spiking neural networks to noise and event upsets is another challenge. This topic calls for novel methods considering flexible and reliable hardware design for versatile modern AI applications.

Topics of Interest

This special issue focuses on micro/tiny machine learning hardware approaches within the following topics:

  • AI applications at the edge (e.g., 5G, healthcare, medical applications, industry, etc.)
  • Circuits and architecture design enabling micro-AI
  • Applications and hardware for learning on a smart micro-AI device
  • Ultra-low-power memory and communication design for micro-AI
  • Sparse learning, feature extraction, and personalization
  • Emerging technologies for enabling micro-AI devices
  • NAS methods that search optimal ANNs for feasible hardware implementations
  • Cross-layer optimization for ANN architecture and application
  • Energy-, bit error-, and accuracy-aware pruning and quantization mechanism of ANNs
  • Communication-aware AI subsystems for future on-chip adaptive learning application
  • Systolic array architecture, near-memory, and in-memory computing techniques
  • Tradeoffs among computation vs communication considering energy/power/timing
  • Efficient on-chip communication/computation of multicore-based ANNs
  • ANN subsystem design based on emerging non-volatile memory devices
  • Data movement optimization through task scheduling of the ANN
  • Novel interconnection networks for the ANNs (e.g., DNN, RNN, SNN, etc.)
  • Novel topology of on-chip communication for efficient ANN processing
  • NoC design for heterogeneous ANN computing
  • Applications and artificial general intelligence (AGI)
  • Flexible, reliable, and robust computing methods
  • Wearable AI devices for health monitoring/detection
  • Algorithm and architecture co-design of energy-efficient ANNs

Submission Procedure

Prospective authors are invited to submit their papers following the instructions provided on the JETCAS website. The submitted manuscripts should not have been previously published nor should they be currently under consideration for publication elsewhere.

Request for Information

  • Tinoosh Mohsenin, Corresponding Guest Editor

Guest Editors

  • Tinoosh Mohsenin, University of Maryland Baltimore County, USA
  • Xin Zhang, IBM T. J. Watson Research Center, USA
  • Houman Homayoun, University of California, Davis, USA
  • Jae-sun Seo, Arizona State University, USA

Important Dates

  • Manuscript submissions due: 1 May 2021
  • First round of review completed: 30 June 2021
  • Revised manuscripts due: 15 August 2021
  • Second round of reviews completed: 15 September 2021
  • Final manuscript due: 10 October 2021
  • Target publication date: 1 December 2021


Latest Tables of Contents of CAS Sponsored Journals

The latest issues of our CAS sponored journals have been published and the tables of contents can be accessed through the following links: