OJ-SSCS Special Issues

OJ-SSCS is now accepting submissions for three special issues:

Information on these three special issues can be found below and on the lefthand menu. 


 Special Issue on Custom Circuits and Architectures for Energy-Efficient Machine Learning Hardware

Call for Papers

 

Machine learning (ML) and artificial intelligence (AI) have been successful in many practical workloads, e.g., image/speech/video recognition, object detection/tracking, etc. There have been large advances in AI/ML hardware such as digital systolic arrays of processing engines (PEs), and analog or digital circuits for in-/near-memory computing for deep neural networks (DNNs). However, on one hand the amount of computation and memory requirement keeps growing for ever-increasing sizes of the AI/ML models (not only with DNNs but also with new types of algorithms such as transformers and graph workloads), and on another hand there are edge devices and applications that are severely constrained by size, weight, and power (SWaP). Therefore, there is continuous demand on the energy-efficient computation, memory access, and data communication for custom circuits and architectures for AI/ML hardware.

This special section will explore academic and industrial research on topics related to energy-efficient AI/ML hardware across edge to cloud applications.

Authors are invited to submit papers following the IEEE Open Journal of the Solid-State Circuits Society (OJ-SSCS) guidelines, within the remit of this Special Section call.

 

Topics include novel circuits and architectures for energy-efficient machine learning hardware such as (but not limited to):

  • Digital and analog circuits for AI/ML hardware
  • Inference accelerator designs, e.g. new dataflow, sparsity, low-precision
  • Training accelerator designs, e.g. training with sparsity, new learning algorithms such as reinforcement learning, continual learning, few-/zero-shot learning, self-supervised learning, unsupervised learning, etc.
  •  Custom accelerator designs for new and emerging ML/AI algorithms beyond DNNs
  • Heterogeneous domain-specific hardware architecture

 

Submission Guidelines: All submitted manuscripts must:

  • conform to OJ-SSCS' normal formatting requirements and page count limits;
  •  incorporate no less than 70% of new (previously unpublished) material;
  • validate principal claims with experimental results;
  • be submitted online at: https://mc.manuscriptcentral.com/oj-sscs

Please note that you need to select "Custom Circuits and Architectures for Energy-Efficient Machine Learning Hardware" when you submit a paper to this Special Issue.

 

Deadlines:

  • Call open for Submissions: April 1, 2022
  • Paper Submission: June 15, 2022
  • Completion of First Review: August 1, 2022
  • Completion of revised manuscript: September 1, 2022
  • Completion of Final Review: October 1, 2022
  • Target Publication: November 2022

 

Guest Editor:

Prof. Jae-sun Seo

Arizona State University

jaesun.seo@asu.edu


 Special issue on Biomedical Electronics

 Call for Papers

 

Recent advances in biomedical electronics have opened the doors to pervasive/wearable technologies as well as bio-inspired systems. Traditional disease treatment is shifting towards preemptive, personalized healthcare. For biomedical electronics to work seamlessly, careful design of integrated circuits for sensing, signal processing, communication, stimulation and communication/network is crucial. Biomedical applications need to tackle unique and harsh constraints, such as extremely stringent power budgets, hermetic sealing requirements, battery-less operation, and robust/secure/efficient communication. Moreover, specific aspects that other applications do not normally consider must be taken into account: as an example, the human body absorbs GHz range RF signal significantly, making standard RF technologies such as Bluetooth a sub-optimal choice for biomedical applications in and around the body. Also, with the rise of artificial intelligence and machine learning, personalized healthcare is becoming more popular, but for some applications, “personalized” means that training sets may get scarce, making it difficult to ensure high sensitivity and specificity.

This special issue will focus on the latest developments in integrated circuits for biomedical applications that try to overcome the aforementioned issues. 

Authors are invited to submit papers following the IEEE Open Journal of the Solid-State Circuits Society (OJ-SSCS) guidelines, within the remit of this Special Section call.

 

Original submission are solicited in the area of biomedical integrated circuits and systems. Topics include, (but are not limited to) the following:

  • Bio-inspired circuits and applications
  • Circuit technologies for personalized healthcare
  • Sensor interfaces
  • Analog and digital signal processing including machine learning
  • Communication and networks covering body-area
  • Effective and efficient powering
  • Closing-the-loop with stimulation

 

Submission Guidelines: All submitted manuscripts must:

  • conform to OJ-SSCS' normal formatting requirements and page count limits;
  • incorporate no less than 70% of new (previously unpublished) material;
  • validate principal claims with experimental results;
  •  be submitted online at: https://mc.manuscriptcentral.com/oj-sscs

Please note that you need to select " Biomedical Electronics" when you submit a paper to this Special Issue.

 

Deadlines:

  • Call open for Submissions: April 1, 2022
  • Paper Submission: June 15, 2022
  • Completion of First Review: August 1, 2022
  • Completion of revised manuscript: September 1, 2022
  • Completion of Final Review: October 1, 2022
  •  Target Publication: November 2022

 

Guest Editor

Prof. Jerald Yoo

National University of Singapore

jyoo@nus.edu.sg

 

 Special issue on Integrated Circuits and Systems based on Thin-Film Transistors

Call for Papers

 
Thin-Film Transistor (TFT) technologies are widely used as backplane for various display and imager products and are very appealing due to their large area process possibilities, the potential to manufacture on flexible substrate and their low cost per unit area. Besides displays and imagers, the key advantages of thin-film transistors make them attractive for specialized Internet-of-Things circuits, such as low-cost NFC tags or wearable healthcare patches.

 

This special issue focuses on design techniques, experimentally demonstrated (flexible) chips and matrices, and systems including TFT circuits for various application domains of thin-film electronics.

 

Authors are invited to submit papers following the IEEE Open Journal of the Solid-State Circuits Society (OJ-SSCS) guidelines, within the remit of this Special Section call.

 

Topics include novel circuits and systems using TFT transistors such as (but not limited to):

  • Heterogeneous domain-specific hardware architectures exploiting Thin-Film Transistors
  •  Thin-film transistor-based analog, digital, and mixed-signal electronics
  •   Matrix design based on thin-film transistors

Submission Guidelines: All submitted manuscripts must:

  • conform to OJ-SSCS' normal formatting requirements and page count limits
  • incorporate no less than 70% of new (previously unpublished) material 
  • validate principal claims with experimental results
  •  be submitted online at: https://mc.manuscriptcentral.com/oj-sscs
Please note that you need to select " Integrated Circuits and Systems based on Thin-Film Transistors " when you submit a paper to this Special Issue.

 

Deadlines

  • Call open for Submissions: April 1, 2022
  • Paper Submission: June 15, 2022
  • Completion of First Review: August 1, 2022
  • Completion of revised manuscript: September 1, 2022
  • Completion of Final Review: October 1, 2022
  • Target Publication: November 2022

 

Guest Editor

Prof. Kris Myny
KU Leuven & imec

kris.myny@kuleuven.be