Admission Enquiry Form
Madanapalle Institute of Technology & Science is now MITS Deemed to be University.
Dr. K. Lakshmi Devi

Qualification : Ph.D. (S V University, Tirupati)

Designation : Asst. Professor

Email: [email protected]

Details of Educational Qualification:

Course Specialization Branch Institute / University Year of Passing
Ph.D. American Literature English Literature Sri Venkateswara University, Tirupati 2014
M.Phil. Indian Literature English Literature Sri Venkateswara University, Tirupati 2012
M.A. English Literature English Language & Literature Sri Venkateswara University, Tirupati 2006
B.Sc. Mathematics, Computer Science, & Statistics B.Sc.  Sri Venkateswara University, Tirupati 2003

 

Research Identifiers: 

 

Publication Details:

S.No Publication Affiliation  Academic Year Author Position Details of Research Publication Indexing Publication Journal Quartile (Q1/Q2/Q3/Q4)
1 MITS 2024-25 3 The Impact of Innovative Resources on Revolutionizing Language Learning in Digital Classrooms , Library Progress International, Vol.44, No.3: P.9011-9017 , Jul-Dec 2024 Scopus Article Q4
2 MITS 2023-24 4 Smart Environments IoT Device classification using Network Traffic Characteristics, International Journal of Intelligent Systems and Applications in Engineering 12th Volume, Issue 3 ,Page No 2422-2430 24.03.2024 Scopus Article Q3
3 MITS 2022-23 3 Black Feminism Movement: An Inherently Precious Articulation, Journal of New Zealand Studies, NS34 https://doi.org/ 10.5281/zenodo.7652179 (2022) Scopus Article Q4
4 MITS 2020-21 2 Difficulties in Online Classes with Reading Comprehension among the Engineering Undergraduates during the CoVID-19 Pandemic, international Journal of Early Childhood Special Education, INT-JECSE) DOI: 10.9756/INT-JECSE/V13I2.211207 ISSN: 1308-5581 Vol 13, Issue 02 2021 Scopus Article Q4

 

Patents

S.No Affiliation Academic Year Application ID Title of the Patent Status
1 MITS 2023-24 202441032686 A Artificial Intelligence Based Detection and Prevention Of Thyroid Disease On Hormone Level For All Ages Of People Using IOT and Machine Learning For Smart Health Care Management System Published