Center for Cyber Physical systems

Center 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 center 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

Research

S.no Publication Application Number Filed by Year and Status Title
1

202041025041

 

 

 

 

Dr. Umamahewari E

Dr. Karmel A

Prof. KavyaAlluru

Dr. Muthunagai K

Ms. VibhutiRathor

2020(PUBLISHED) LOW COST INFANT SECURITY SYSTEM IN THE HOSPITALS
2

202041035038

 

 

 

 

Dr.E.Umamaheswari

Dr.Harini

Dr.Kanimozhi

LakshayBaheti

Samyak Sharma

2020(PUBLISHED) AFFORDABLE SECURITY SMART WALLET
S.NO TITLE FUNDING AGENCY AMOUNT INVESTIGATOR(S) DURATION/STATUS
1. An Artificial Intelligence based Non-Invasive System for the Identification and Assessment of Children with Autism Spectrum Disorders DST-TIDE Rs.41,12,000

Dr. Menaka. R (PI),

Dr. R. Manojkumar (Co-PI)

Dr. R. C. Perumal (Co-PI SRMC & RI, Chennai)

Ongoing
  1. Karthik, R., Menaka, R., & M., H. (2020). Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN. Applied Soft Computing, 106744. [IF: 5.472]
  2. Karthik R., Menaka, R., Johnson, A., & Anand, S. (2020). Neuroimaging and deep learning for brain stroke detection – A review of recent advancements and future prospects. Computer Methods and Programs in Biomedicine, 197, 105728. [IF: 3.632]
  3. Karthik R., Hariharan M., Sundar Anand, Priyanka Mathikshara, Annie Johnson, Menaka R. 2020. Attention embedded residual CNN for disease detection in tomato leaves. Applied Soft Computing. 86, pp. 1-11. [IF: 5.472]
  4. R, Won, D., Manoharan, T. A., Venkatachalam, V., Chavan, R. M., &Nalla, H. D. (2020). Investigating electroencephalography signals of autism spectrum disorder (ASD) using Higuchi Fractal Dimension. Biomedical Engineering / BiomedizinischeTechnik, [IF :1.0592]