Intelligent Circuits and Systems for SDG 3 – Good Health and well-being

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Artificial Intelligence
artificial intelligence in healthcare systems
Big Data
Bio-Sensors
bioimpedance monitoring
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Cloud Computing
Communication Systems
Control System
Data analysis
Data Security
Deep learning
Embedded Systems
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federated learning
Health
Image Processing
Internet of Things (IoT)
Machine learning
medical device innovation
Nano-electronics
Nanomaterial
nanoscience applications
photovoltaic systems
Robotic Systems
Sensor Networks
Signal Processing
Sustainable Development Goa
VLSI Systems
wireless sensor networks

Product details

  • ISBN 9781032861876
  • Weight: 1420g
  • Dimensions: 174 x 246mm
  • Publication Date: 05 Aug 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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ICICS is a series of conferences initiated by School of Electronics and Electrical Engineering at Lovely Professional University. Looking at the response to the conference, the bi-annual conference now onwards will be annual. The 5th International Conference on Intelligent Circuits and Systems (ICICS 2023) will be focusing on intelligent circuits and systems for achieving the targets in Sustainable Development Goal (SDG) 3, identified as ‘Good Health and Wellbeing’ by United Nations (Refs: https://sdgs.un.org/goals/goal3, https://sdg-tracker.org/).

Dr. Bhaveshkumar C. Dharmani

is a Professor and Head, Signal & Image Processing, School of Electrical & Electronics Engineering, Lovely Professional University. He has done his full-time Ph. D. from Dhirubhai Ambani Institute of Information & Communication Technology (DAIICT) after years of teaching experience and was a Visiting scientist at Interdisciplinary Statistical research Unit (ISRU), Indian Statistical Institute (ISI), Kolkata. He has more than 17 years of teaching experience with 5 years post-PhD. He has around 13 research publications and 8 patents published. His current research focus is on achieving robustness in Machine and Deep learning algorithms for healthcare applications, collaborating the concepts of Signal Processing, Robust Statistics and Machine Learning. His research interest includes Blind Source Separation, Tensor decompositions, Robust Statistical Divergences, kernel based nonparametric estimation, Machine & Deep learning, Evolutionary Algorithms and others.

Dr. Suman Lata Tripathi

is working as Professor in Lovely Professional University with more than 21 years of experience in academics and research. She has completed her Ph.D. in the area of microelectronics and VLSI Design from MNNIT, Allahabad. She is also a remote post-doc researcher at Nottingham Trent University, London, UK in the year 2022. She has published more than 125 research papers in refereed Springer, Elsevier, IEEE, Wiley and IOP science journals, conference proceeding and e-books. She has also published 13 Indian patents and 4 copyright. She has guided 6 PhD scholars. She has received the “Research Excellence Award” in 2019 and “Research Appreciation Award” in 2020, 2021 at Lovely Professional University, India. She is also working as book series editor for title, “Smart Engineering Systems” CRC Press, “Engineering system design for sustainable developments” & “Decentralized Systems & Next Generation Internet” Wiley-Scrivener, and conference series editor for “Conference Proceedings Series on Intelligent systems for Engineering designs” CRC Press Taylor & Francis. She is serving as academic editor of journal “Journal of Electrical and Computer Engineering” (Scopus/WoS, Q2), “International Journal of Reconfigurable Computing, Scopus, Q3), “Active and Passive Electronic Component” (Scopus, Q4) Hindawi. Her area of expertise includes microelectronics device modeling and characterization, low power VLSI circuit design, VLSI design of testing, and advanced FET design for IoT, Embedded System Design, reconfigurable architecture with FPGAs and biomedical applications etc.