Centre for Cyber Physical systems
Centre for Cyber Physical Systems (CCPS) aims promoting collaborative research activities with impetus on developing and interfacing intelligent devices with enhanced cyber security. The much contemplated Smart cities, Industry 4.0 and Health care 4.0 are quintessentially dependent on the advances realized in CPS, targeting in the process a more responsive, precise, reliable and efficient systems. It is therefore axiomatic that innovation in CPS holds the key in reshaping the world. With the intention to align with the evolution, VIT CCPS will spearhead and support advances in the fundamental knowledge and tools, to make Cyber Physical Systems a pragmatic reality.
The key emphasis of the research centre are:
- to provide state-of-the- art infrastructure to student fraternity and researchers to create and excel in Cyber physical systems design.
- to actively engage in fundamental and applied research to solve radical problems using Computer vision, Machine learning, Sensor Networks, Data Analytics, Network and Data security.
- to seamlessly integrate interdisciplinary technologies and design cyber physical components and systems.
- to promote Industrial collaboration in cutting edge technologies for innovative product development.
- to prominently engage in impending application areas such as smart health care, smart merchandise, smart agriculture, etc., and foster economical solutions.
To be a pioneer in imparting social and scientific expertise in research nationwide and to extend globally in the space of Cyber Physical Systems.
- To provide state-of-the-art infrastructure to student fraternity and researchers to create and excel in Cyber physical systems design.
- To actively engage in fundamental and applied research to solve radical problems using Computer vision, Machine learning, Sensor Networks, Data Analytics, Network and Data security.
- To seamlessly integrate interdisciplinary technologies and design cyber physical components and systems.
- To promote Industrial collaboration in cutting edge technologies for innovative product development.
- To prominently engage in impending application areas such as smart health care, smart merchandise, smart agriculture, etc., and foster economical solutions.
|S.no||Publication Application Number||Filed by||Year and Status||Title|
Dr. Umamahewari E
Dr. Karmel A
Dr. Muthunagai K
|2020(PUBLISHED)||LOW COST INFANT SECURITY SYSTEM IN THE HOSPITALS|
|2020(PUBLISHED)||AFFORDABLE SECURITY SMART WALLET|
|1.||An Artificial Intelligence based Non-Invasive System for the Identification and Assessment of Children with Autism Spectrum Disorders||DST-TIDE|
Dr. Menaka. R (PI),
Dr. R. Manojkumar (Co-PI)
Dr. R. C. Perumal (Co-PI SRMC & RI, Chennai)
|2.||Design and development of wearable biofeedback device for Postnatal Diastasis Recti Abdominis (DRA) patients||DST-BDTD||Rs. 39,21,632|
Dr. Menaka. R (PI),
Dr. R. Karthik, (Co-PI)
Ms. P. Ponmathi, (Co-PI)
- K. Dhinakaran, R. Nedunchelian, A. Balasundaram, Crowdsourcing: Descriptive Study on Algorithms and Frameworks for Prediction, Archives of Computational Methods in Engineering (Springer), April 2021, [IF: 7.302]
- Karthik, R., Menaka, R., & M., H. Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN. Applied Soft Computing, 106744, 2021. [IF: 6.725]
- Karthik R.V, Sannasi Ganapathy, A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce, Applied Soft computing, Vol.108, pp. 1-18, 2021. [IF: 6.725]
- Karthik, R., R. Menaka, Mr. Hariharan, Deahon Won, Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN, Computer Methods and Programs in Biomedicine, 2021. [IF: 5.428]
- Karthik R. B., N., Patil, M., Basu, C., & R., V. (2021). Performance Analysis of GAN Architecture for Effective Facial Expression Synthesis. In Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (pp. 290–316). IGI Global. https://doi.org/10.4018/978-1-7998-6690-9.ch015
- Rajangam, V., N., S., Karthik R.., & Mallikarjuna, K. (2021). Performance Analysis of VGG19 Deep Learning Network Based Brain Image Fusion. In Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (pp. 145–166). IGI Global. https://doi.org/10.4018/978-1-7998-6690-9.ch008
- M., Thanga Aarthy and Menaka R., and Karthik R. (2021) “Automatic Detection and Assessment of Autism Spectrum Disorder: A Systematic Review.” In Handbook of Research on Critical Issues in Special Education for School Rehabilitation Practices. Edited by Ajay Singh, Chia Jung Yeh, Sheresa Blanchard, and Luis Anunciação, 396–425. Hershey, PA: IGI Global, http: // doi: 10.4018 / 978-1-7998-7630-4.ch020
|1.||Ms. R. Kanchana||14PHD1034||PHD||Candidacy Confirmed|
|2.||Ms. Thanga Aarthy||18MTR1001||M.Tech (By Research)||Candidacy Confirmed|
|3.||Mr. Karthik R V||16PHD1088||PHD||Candidacy Confirmed|
|4.||Ms. Sudaroli D||16PHD1054||PHD||Candidacy Confirmed|
|5.||Ms. Suma S G||16PHD1074||PHD||Provisionally Registered|
|1.||Best Paper Award||Dr. R. Menaka and Dr. R. Karthik||International Virtual Conference on Industry 4.0||2020|
|2.||Reviewer Recognition||Dr. R. Menaka||Elsevier – Computers and Electronics in Agriculture||2020|
|3.||Reviewer Recognition||Dr. R. Karthik||Elsevier – Information Fusion||2020|
|4.||Reviewer Recognition||Dr. R. Karthik||Elsevier – Computers and Electronics in Agriculture||2020|
|5.||Reviewer Recognition||Dr. R. Karthik||Elsevier – Applied Soft Computing||2020|