Ph.D./Direct Ph.D. Programme - 2024 July Session – Apply Now Integrated M.Tech.(5 Year Programmes) - Apply Now VITEEE 2024 - Apply Now M.Tech Application 2024- Apply Now Careers VIT Vellore VIT – AP VIT Bhopal VIT Bangalore

Dr. Muthulakshmi S

Associate Professor

Employee ID50407
Intercom1167
 
Educational details
DegreePassed out yearSpecializationInstitute/University/ College
PhD2019Memristor based approximate circuitsVIT University
M.Tech2007Embedded Systems TechnologySRM University
B.E./B.Tech1997ICENIT Trichy
 
Research Details
Areas of SpecializationEmbedded System design with Machine learning/Deep Learning techniques, Embedded Artificial Intelligence, ML/DL techniques for medical imaging applications, memristor applications, approximate computing
ORCID IDhttps://orcid.org/0000-0003-3987-2802
Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=56604120300
H-index (scopus)4
Google Scholar ID 

https://scholar.google.com/citations?user=Vl-0_eYAAAAJ&hl=en

i10 index9
 
Patent Published Details
Patent Published TitlePatent Published Application No.
SMART SAFETY JACKET WITH SAFE ROUTE ASSISTANCE202041045423
Book / Book Chapter Published Details
TitlePublisherYear
Pranav Suryadevara & S.Muthulakshmi,Oxygen cylinders monitoring system in hospital warehouse using CNN.In Futuristic Communication and Network Technologies,Lecture Notes in Electrical Engineering, vol 792. pp.219-229. September 2021,Springer, Singapore(scopus). 

 

LNEE Springer

 

 

 

 

 

2021

 

 

 

Muthulakshmi S., Dash C.S., Prabaharan S.R.S. (2018) Memristor-Based Approximate Adders for Error Resilient Applications. In:Nanoelectronic Materials and Devices. Lecture Notes in Electrical Engineering, vol 466. pp.51-59. Springer, Singapore(scopus).

Parvathi L Prabhakar, Kiran Thomas, Sreekumar S,

 

 

LNEE Springer

 

 

 

 

 

2018

 

 

 

 Muthulakshmi S,  LocalVisualization for Troubleshooting the RF Mesh Network in a Wireless Metering System, 2018.In:Intelligent Embedded Systems. Lecture Notes in Electrical Engineering.. In:Nanoelectronic Materials and Devices. Lecture Notes in Electrical Engineering

 

 

LNEE Springer

 

 

 

 

 

 

2018

 

 

 

 

 

AArvin Joseph Kumar Jayakumar & S. Muthulakshmi, Raspberry Pi Based Surveillance System With IOT. 2018.In:Intelligent Embedded Systems. Lecture Notes in Electrical Engineering. 

LNEE Springer

 

2018

Apply Now