2nd International Conference

WOMEN RESEARCHERS IN ELECTRONICS AND COMPUTING

Dates April 21-23, 2023

Department of Electronics and Communication Engineering

Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, INDIA

springer

Peer reviewed and selected papers will be published as Conference proceedings with Springer in their prestigious series


“Lecture Notes in Electrical Engineering”

https://www.springer.com/series/7818
Detailed Schedule Coming Soon
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ORGANIZED BY

Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India.

In Joint Collaboration with

Indira Gandhi Delhi Technical University For Women, Delhi, India.

About

Though women are underrepresented in engineering, but the number has been growing consistently as more women are opting to pursue studies in this field and still there is a lot required to be done to encourage this trend. We would like to dedicate this conference so as to promote and encourage women engineers and motivate young girls to follow their academic interests to a career in engineering. With a view to inspire women engineers, pioneer and successful women achievers in the domains of VLSI design, wireless sensor networks, communication, image/ signal processing, machine learning, and emerging technologies have been identified from across the globe and invited to present their work and address the participants in this women oriented conference. All the keynote speakers, tutorial presenters, session chairs and the members of conference organizing team are women. The conference aspires to provide a platform for researchers, engineers, academicians as well as industrial professionals to showcase innovative and interdisciplinary research findings on practical as well as theoretical advancements in Electronics, Communication and Signal Processing.
However, participation is not limited to women candidates only. It is open for all the researchers in specified areas.

Event Timeline

Timeline
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PAPER SUBMISSION DEADLINE:

10thFEBRUARY 2023

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INTIMATION OF ACCEPTANCE:

20thMARCH 2023

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SUBMISSION OF CAMERA-READY PAPERS: AND START OF REGISTRATION

27thMARCH 2023

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LAST DATE OF REGISTRATION:

10thAPRIL 2023

CONFERENCE TRACKS

  • Signal/Image Processing and Applications

    • - Image/ Video/ Multimedia Signal Processing
    • - Audio/ Speech/ Spoken Language Processing
    • - Biomedical Signal Processing and Systems
    • - Machine Learning and Deep Learning for Signal Processing
    • - Sensor Array and Multichannel Signal Processing
    • - Signal Processing for Communication & Networking
    • - Emerging Technologies in Signal Processing
    • - Human- Computer Interface
  • Futuristic Communication System

      • - Next generation Ad-hoc, Mobile and Sensor Networks
      • - Satellite and Space Communications
      • - Optical Communication and Networks
      • - 5G/6G Wireless Technologies
      • - MIMO, Massive MIMO, mm Wave MIMO
      • - Software-Defined Networking (SDN)
      • - Ad-hoc, Mesh and Sensor Networks
      • - Green and energy efficient wireless networks
      • - Machine learning and deep learning for all types of networks
      • - Ultra-reliable low latency communications (URLLC)
      • - Multiple Radio Access Technologies (M-RATs) interworking
      • - Next generation radio access networks (RAN)
      • - Mobility management and models
      • - RF Circuits, Systems and Antennas
  • VLSI Design

    • - Nanoscale devices/Nanoelectronics
    • - Analog/Digital and Mixed Signal ICs
    • - VLSI Signal Processing
    • - Electronic Design Automation
    • - Physical Design Automation
    • - VLSI Testing
    • - ASIC/FPGA Design
    • - Electronic Devices, Materials and Fabrication Process
    • - Device Modeling and Characterization
    • - Advanced CMOS Devices and Process
    • - System-on-Chip (SoC)
    • - Biosensors and Bioelectronics
    • - MEMS/NEMS Microfluidics
    • - RF, Microwave and Tera Hertz Devices
    • - Spintronic Devices for Memory and Computing
    • - Emerging Logic, Memories and Neuromorphic Devices
    • - Flexible Electronics and Organic semiconductors
    • - Photovoltaics and Energy Harvesting
  • Computational Technologies

    • - Big Data Analytics and Cloud Computing
    • - Networks, IoT and Cyber Security
    • - Computational Intelligence
    • - Blockchain Technology and Applications
    • - 3-D Printing and Scanning
    • - Deep Learning/ Artificial Intelligence and Machine Learning Applications
    • - Geographic Information Systems and Applications
    • - Augmented Reality/ Virtual Reality
    • - Quantum Computing and Informatics
    • - Knowledge Engineering
    • - Computational Biology & Bioinformatics
    • - Data, Text, Web Mining & Visualization

Keynote Speakers

2023
2021

2021

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Health 4.0

Digital Health is essential in today's world. The COVID-19 pandemic has highlighted the benefits of digital health. Digital Health is powered by the developments of technologies making up Internet of Things (IoT) including sensors, mobile, 3D printing, analytics and more. This presentation will highlight key areas and provide insights into how the technologies of IoT can provide superior healthcare for all..

Prof Nilmini Wickramasinghe

Swinburne University of Technology, Australia

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Modular Sensor Interfacing and Signal Conditioning

Sensing devices are becoming a part of communication technologies or a part of portable and mobile measurement devices to bring a new age of ubiquitous sensing. Integrable sensor modules demand modular interfacing, analog signal conditioning and integrable solutions compatible with the analog to data and information transformation. The solutions must suppress the noise, have the required sensitivity, and reduce effect of non-idealities. In this talk examples of low-noise, discrete and integrated designs for the interacting and signal conditioning of sensor signals in various forms and from different sensing elements are presented.

Prof. Maryam Shojaei Baghini

IIT-Bombay

2023

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Characteristics in MRIs: Can we train DL networks using tumor bounding box images without requiring tumor annotation?"

Irene Gu is a Professor in the Department of Electrical Engineering, Chalmers University of Technology, Sweden. She has received the PhD degree in electrical engineering from Eindhoven University of Technology, The Netherlands, in 1992. From 1992 to 1994, she was a Research Fellow at the Philips Research Institute IPO, The Netherlands, and a Post-Doctoral Fellow at Staffordshire University, U.K. She was a University Lecturer at the University of Birmingham, U.K, 1995-1996 before joining Chalmers. Since Sept. 1996, she has been with the Department of Signals and Systems, Chalmers University of Technology, where she has been a Professor since 2004. She has coauthored over 200 journal and conference articles, and coauthored the book on Signal Processing of Power Quality Disturbances. Irene Gu’s main research areas include statistical image analysis and video processing, machine learning and deep learning, visual object tracking and recognition, signal analysis and processing with applications to electric power systems, and biomedical image analysis for AI-assisted brain disease diagnosis. Her current main research activities include: Biomedical image analysis for diagnosis of brain tumors and Alzheimers' disease; Privacy-protected machine learning for vehicle/traffic safety and transportation systems; Signal processing and machine learning with applications to big data analytics in power systems (finding underlying causes and patterns from disturbance and variation measurement data).

Prof. Irene Yu-Hua Gu

Professor, Chalmers University of Technology, Sweden

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Career for Women in Semiconductors

Binta Patel is Chief Engineer at Intel, Austin, Texas, United States. She is an experienced Senior Principal Engineer with a demonstrated history of working in the semiconductors industry as a Technologist. She did her BE in Electronics Engineering from Nagpur University, and MS in Electrical Engineering from New York University. Her areas of specialization are Low Power PLL and Clocking Design, SoC, Microarchitectural Design, Sensors. She has several patents to her credit.

Binta Patel

Cloud Architect - Intel

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Rashmi Sharan Sinha received B.Tech, M.Tech, in electronics and communication engineering from PTU Punjab, Rep. of India and PhD degrees in electronics and electrical engineering from Dongguk University, Seoul, Rep. of Korea in 2011, 2015, and 2020, respectively. From 2015 to 2020, she received SRD scholarship funded by Dongguk University to work in the field of 5G LTE, Cellular Networks, Artificial Intelligence, Convolutional Neural Network, Indoor Positioning System, Localization in Dongguk University, Rep. of Korea. She is now a Research Scientist, Urban Sensing in the Division of Centre of Communication & Signal Processing at Nanyang Technological University, Singapore.

Dr. Rashmi Sharan Sinha

Research Scientist, Urban Sensing in the Division of Centre of Communication & Signal Processing at Nanyang Technological University, Singapore

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Tutorials 2021

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Game-driven Electronic Design Automation

In this tutorial, I will present highly visual interactive design frameworks that we have developed to harness human intelligence for mapping/placement and architecture design for custom reconfigurable devices. People excel at navigating complex and dynamically changing situations, recognizing recurring patterns, and identifying potential opportunities. I will show how these reasoning and problem solving skills can be brought to bear in solving the mapping challenge for custom reconfigurable architectures.

Dr Gayatri Mehta

University of North Texas

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AI tools to combat antimicrobial resistance (AMR)

Antimicrobial Resistance is fast emerging to be one of the biggest challenges in healthcare across the world. Rampant inappropriate use of antibiotics is by far the biggest contributor to this problem. Dr Seema Singh will be conducting a tutorial around the potential role of data analytics and AI based decision support systems in driving the judicious use of antibiotics in healthcare practice.

Dr Seema Singh

MS (Surgery), PGDM (IIM-A)
Digital Health Consultant

Event Schedule

Day 1
Day 2
Day 3
  • 10:00 AM :

    Inaugration

  • 11:30 AM :

    Plenary Talk

  • 2:30 PM :

    Paper Presentation

    Session 1

    Session 2

    Session 3

  • 8:30 AM :

    Keynote Address 1

  • 10:30 AM :

    Keynote Address 2

  • 12:00 Noon :

    Paper Presentation

    Session 4

    Session 5

  • 2:30 PM :

    Paper Presentation

    Session 6

    Session 7

    Session 8

  • 10:00 AM :

    Inaugration

  • 11:30 AM :

    Plenary Talk

  • 2:30 PM :

    Paper Presentation

    Session 1

    Session 2

    Session 3

CONFERENCE CHAIRS FROM ORGANIZING INSTITUTE

Dr BR Ambedkar National Institute of Technology, Jalandhar

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WREC'23

WOMEN RESEARCHERS IN ELECTRONICS AND COMPUTING

DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING