Academics > Departments

Computer Science & Engineering (CSE)

Mr. Panthani Ramesh

Assistant Professor |

Teaching Experience: 08 Years

Research Experience :

SVCEW Emp ID: 5020
AICTE Unique ID: 

DegreeOrganization/InstitutionSpecializationYear of Passing
M.TechB V C Engineering College OdalarevuCSE2020
B.TechB V C Engineering College OdalarevuCSE2013
  • Machine Learning

Publications in National/International

  • Enhance Image Quality By Implementing Deep Residual Neural Network In IEEE, rovably Secure And Light weight Personality Based Verified Information Sharing Convention For Digital Physical Cloud Condition”, In STD

Journal Publications in National/International Conferences

  • Ecg-Based Driver’s Stress Detection Using Deep Transfer Learning And Fuzzy Logic Approaches In Atlantis,

Book Chapters Published

  •  
  • A system by Using Neural Networks For 3d Surface Structure Estimation Based On Real-World Data For Autonomous Systems And Applications

  • A system For Detecting and classification of machine anomalies using Convolution Neural Network And Method Thereof

     

FDPs Attended

  • Attended a Successful completion of “Applications of Machine Learning”- A Five Day National Level Online Faculty Development Program Organized by the Department of Computer Science& Engineeringfrom15-19, June-2021ofShriVishnuEngineeringCollegefor Women(A).
  • Attended a Successful completion of “Research Challenges and Opportunities Post COVID- 19(RECOP2020)- FDP” organized by Sri Vasavi Engineering College(Autonomous)during4-9 May 2020
  • Attended a Successful completion of “Networking Simulation using Qualnet Software – FDP” organized by “DELLSOFT Technologies Pvt. Ltd” in “BVC Engineering College”, Odalarevu from 21st September, 2017.

 

Work Shops Organized

  • Attended a Successful completion of “AIF or Every one” an online non-credit course authorized by deeplearning.ai and offered through Coursera, in May 2020.
  • Attended Successful completion of “Introduction to Big Data” an online non-credit course authorized by deeplearning.ai and offered through Coursera, in April 2020.

 

UG Level

  • Formal Languages and Automata Theory
  • Compiler Design
  • Secure Coding Techniques
  • Mathematical Foundation of Computer Science
  • JAVA
  • Digital Logic Design

PG Level

 

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