~~~~ Detailed Scheduled Coming Soon ~~~~

2nd International Conference

Women Researchers in Electronics and Computing

April 21-23, 2023

Department of Electronics and Communication Engineering

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


    ~~~~ Registration Link Coming Soon~~~~

Organized By

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

In Joined Collaboration with

Indira Gandhi Delhi Technical University For Women, Delhi


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.


    • .
    • 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
    • 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

    • 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

    • 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

Speaker 1

Prof. Irene Yu-Hua Gu

Professor, Chalmers University of Technology, Sweden

"Brain Tumor 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).

Speaker 1

Binta Patel

Cloud Architect - Intel

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.

Speaker 1

Prof Nilmini Wickramasinghe

Swinburne University of Technology, Australia

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.

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.


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.

Speaker 1

Dr Gayatri Mehta

University of North Texas

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.

Speaker 1

Dr Seema Singh

MS (Surgery), PGDM (IIM-A)

Digital Health Consultant

Event Schedule

Here is our event schedule



Plenary Talk

Paper Presentation

Session 1

Session 2

Session 3

Keynote Address 1

Keynote Address 2

Paper Presentation

Session 4

Session 5

Paper Presentation

Session 6

Session 7

Session 8

Keynote Address 3

Paper Presentation

Session 9

Session 10

Keynote Address 4


Discussions on Feedback, Vote of Thanks


Dr. BR. Ambedkar NIT Jalandhar

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Dr Binod Kumar Kanaujia

Dr B R Ambedkar NIT, Jalandhar


Prof. BINOD KUMAR KANAUJIA received his B.Tech. degree in electronics engineering from the Kamla Nehru Institute of Technology, Sultanpur, India, in 1994, and the M.Tech. and Ph.D. degrees from the Department of Electronics Engineering, IIT Banaras Hindu University, Varanasi, India, in 1998 and 2004, respectively. He is a Professor with the School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India. He has been credited to publish more than 250 research articles with more than 1900 citations and H-index of 21 in several peer-reviewed journals and conferences. He had 55 M.Tech. and 35 Ph.D. scholars in the field of RF and microwave engineering. He is also a member of several academic and professional bodies, such as the Institution of Engineers, India, the Indian Society for Technical Education and the Institute of Electronics and Telecommunication Engineering of India. He had successfully executed eight research projects sponsored by several agencies of the Government of India, such as DRDO, DST, AICTE and ISRO. He is currently on the editorial board of several international journals. Formerly he has worked as Vice Chancellor of Jawaharlal Nehru University, Delhi, India 110067 and presently appointed as Director, Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India-144011

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Dr Mamta Khosla

Associate Professor & Head
Electronics and Comm. Engg.

Executive General Chair

Dr Mamta Khosla is currently working as an Associate Professor in the Department of Electronics and Communication Engineering, NIT Jalandhar. She joined the institute in year 1992. She is actively involved in the various administrative responsibilities at institute level and department level. She is the coordinator of SMDP- C2S Project funded by MHRD, New Delhi and also coordinated other sponsored projects from MHRD and DST-FIST project. So far, she has guided 07 students for research guidance at Doctorate’s level. Her research interest includes Digital Systems Design, Soft Computing and Nano scale Semiconductor Devices.

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Dr Indu Saini

Assistant Professor
Electronics and Comm. Engg.

Executive General Chair

Dr Indu Saini is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering, NIT Jalandhar. She joined the institute in year 2002. She has received sponsored projects from MeitY, and MHRD, New Delhi. She is also awarded with Distinguished Woman in engineering award from Centre for Advanced Research and Design (CARD) of Venus International Foundation and Bharat Excellence Award by FFI, India in the year 2019. She has contributed more than 59 research articles in refereed International Journals and International Conferences papers. Her research interests include Biomedical Signal Processing; Machine Learning Algorithms, and VLSI Design.

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Dr Neetu Sood

Assistant Professor
Electronics and Comm. Engg.

Program General Chair

Dr Neetu Sood is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering, NIT Jalandhar. She joined the institute in year 2007. She has received sponsored projects from MeitY, New Delhi. She is also awarded with outstanding woman in engineering award from Centre for Advanced Research and Design (CARD) of Venus International Foundation in the year 2020. She has contributed more than 40 research articles in refereed International Journals and International Conferences papers. She is an active researcher in the field of Wireless Communication Systems, OFDM based Systems and Signal Processing.

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Dr Deepti Kakkar

Assistant Professor
Electronics and Comm. Engg.

Program general Chair

Dr Deepti Kakkar is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering, NIT Jalandhar. She joined the institute in year 2007. She is actively involved in the various activities at institute and department level. She has edited various books with reputed publishers and authored many research papers. Her research interest includes Cognitive Radios, Signal Processing, Wireless Systems, Behavior Modelling, Neuro-developmental Disorder

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Dr Tarun Chaudhary

Assistant Professor
Electronics and Comm. Engg.

Organising Sectretary

Dr Tarun Chaudhary is currently working as Assistant Professor in the Department of Electronics and Communication Engineering, NIT Jalandhar. She has joined the institute recently in year 2019 and is currently involved in organizing various events in the department. Her research interest included Nano scale device modelling, Analysis and design of low power VLSI Circuits, Characteristic study of 2D Materials based devices for Analog and Digital applications.

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