Employee ID | 50407 | ||||
Intercom | 1167 | ||||
Educational details | |||||
Degree | Passed out year | Specialization | Institute/University/ College | ||
PhD | 2019 | Memristor based approximate circuits | VIT University | ||
M.Tech | 2007 | Embedded Systems Technology | SRM University | ||
B.E./B.Tech | 1997 | ICE | NIT Trichy | ||
Research Details | |||||
Areas of Specialization | Embedded System design with Machine learning/Deep Learning techniques, Embedded Artificial Intelligence, ML/DL techniques for medical imaging applications, memristor applications, approximate computing | ||||
ORCID ID | https://orcid.org/0000-0003-3987-2802 | ||||
Scopus ID | https://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 index | 9 | ||||
Patent Published Details | |||||
Patent Published Title | Patent Published Application No. | ||||
SMART SAFETY JACKET WITH SAFE ROUTE ASSISTANCE | 202041045423 | ||||
Book / Book Chapter Published Details | |||||
Title | Publisher | Year | |||
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 |