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Ms. V. T. Lokare

Ms. V. T. Lokare

Assistant Professor

Department:Computer Science & Engineering

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Education

M.Tech. (Computer Science and Engineering) (2014) 

Rajarambapu Institute of Technology, Sakharale

B.Tech. (Computer Engineering) (2004) 

Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad

Experience

Experience

Teaching Experience: (12 years) 

2014

Assistant Professor in Rajarambapu Institute of Technology, Rajaramnagar

2015-2012

Assistant Professor in Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad

Research Area(s)

  • Routing in Wireless Adhoc Network  
  • Multi Criteria Decision Making 

Key Publications

A) Publications (in international journals)

Nil

B) Publications (in Indian journals)

Nil

C) Publications (in peer-reviewed conferences held abroad)

Nil

D) Publications /Presentation(in peer-reviewed conferences held in India)

  • Varsha T. Lokare and Sandeep A. Thorat,” Comparison of Proactive, Reactive and Opportunistic Routing Protocols”, in Elsevier International Conference ERCICA 2014 - Emerging Research in Computing, Information, Communication and Applications at NitteMinakshi Institute of Technology, Bangalore, 2014. ISBN: 9789351072621.  
  • Varsha T. Lokare and Sandeep A. Thorat, “Cooperative Opportunistic Routing based on ETX metric to get better performance in MANET”, in IEEE International Conference on- Computer Communication and Informatics: ICCCI 2015 at Sri Shakti Institute of Engineering and Technology, Coimbatore,2015.ISBN:978-1-4799-6804-6@2015 IEEE,Pages:1-6,DOI:10.1109/ICCCI.2015.7218067 Cited by Papers (2)  
  • V.T. Lokare and P.M. Jadhav, “Using the AHP and TOPSIS method for decision making in Best Course selection after HSC”, in IEEE International Conference on- Computer Communication and Informatics: ICCCI 2016 at Sri Shakti Institute of Engineering and Technology, Coimbatore, 2016, Pages: 1 - 6, DOI: 10.1109/ICCCI.2016.7479937  
  • V.T. Lokare and P.M. Jadhav, “ Course Outcomes Attainment for Data Structure Course Using Direct and Indirect Methods”, in Journal of Engineering Education Transformations, 2016.  
  • D.T. Mane, S.S. Howal, V.T. Lokare, “Problem-Based Learning using Simulation Tools for Automata Theory”, in Journal of Engineering Education Transformations, 2016.  
  • Mr. Prakash M. Jadhav Ms. Varsha T. Lokare,” A Holistic Approach for Teaching Data Structure Course in the Department of Information Technology” in Journal of Engineering Education Transformations, 2017.  
  • Rajesh Dontham, Sushant Yelpale, Varsha Lokare,” Faculty’s Portfolio Collaboration: To Enhance Student’s Placement through Faculty’s Coordination”, in Journal of Engineering Education Transformations, 2017.  
  • Markov Chain based Opportunistic Routing Protocol to enhance the performance of the MANET, 2nd IEEE international conference at JCT College of Engineering and Technology, Coimbatore, 2018.  9. Varsha T Lokare, Prakash M Jadhav, Snehal S Patil,” An Integrated Approach for Teaching Object-Oriented Programming (C++) Course”, in Journal of Engineering Education Transformations, 2018.  10. Snehal S Patil, Sachin K Patil, V. T. Lokare,” Enhancing Engineering Student’s Academic Performance Index through Outcome Based Education: A Case Study”, in Journal of Engineering Education Transformations, 2018.  

E) National Conference

Nil

F) Book Published

i) Book

Nil

ii) Chapters in Book

Nil

G) Patent

i) Patents (Awarded)

Nil

ii) Patents (Filed)

Nil

Professional Distinctions

  • Silver Trophy in Chapter Convention on Quality Circle (CCQC-2016) organized by Quality Circle Forum of India, Pune Chapter on 24th September 2016.  
  • Distinguished award for A Case study On “Improvement in Classroom Delivery for Automata Theory Course” at National Level Convention on Quality Circles 2015, Chennai.  
  • The QC group titled "COLLABORATORS" received "Par-Excellence Award" at National Convention on Quality Concepts (NCQC-2016) organized at Shri Shankaracharya Institute of Professional Mgmt. and Technology, Raipur.

Key Research Projects

  • E-Banking Security Enhancement through face recognition.