Qualification:
M.Tech(Ph.D), B.Tech
Professional Career :
1. Teaching Experience:10
2. Administrative Experience: NIL
3. Research Experience:NIL
Academic Qualificatoins :
1. M. Tech(Ph.D) - Computer Science & Engineering, First Class & Distinction(75%), DRK Institute of Science & Technology, Hyderabad, Telangana, India,2009-2012.
2. B.Tech - Computer Science & Engineering, First Class (63.41%), Sai spurti Institute of Technology, Gangavaram, Sathupalli, India,2004-2008.
Experience :
Total Years of Experience : 11 Years
1. Assistant Professor, Department of Computer Science and Engineering, ANU College of Engineering and Technology, Acharya Nagarjuna University, Guntur, 11/2012 to till date.
Subjects Handled :
For UG & PG :
1. Programming
2. Object Oriented Programming
3. Java Programming
4. Operating Systems
5. Software Engineering
6. Software Project Management
7. Research Methodologies
8. Digital Image Processing
9. PYTHON Programming
10.Computer organization &Architecture
Labs Handled :
1. C Programming Lab
2. Java Lab
3. OS lab
4. PYTHON Programming Lab
5. Digital Image Processing Lab
Research Activities :
1. No of journal papers published : 04
2. No of conference papers presented : 00
3. No. of workshops, seminars, FDPs attended : 34
4. Acted as Resource Person : 00
5. Patents : 1
Administrative Activities:
1. Acting as NSS program officer since 2014 onwards
Conferences :
1. Mr P.Yugandhar Reddy.” Tomato Leaf Disease Detection Using Convolutional Neural Network” in the International Conference on Communications , Signal Processing and Computing (ICCSPC-2023) Organized by Department of ECE, Bapatla Engineering College, Bapatla during 17th, 18th April 2023.
Journals:
1. Mr.P.Yugandhar Reddy,Mr.Ratnam Raj, Dr.U.Sathish kumar in”Plant leaf detection by using convolutional neural network”,IJERT,2022
2. Mr.P.Yugandhar Reddy,Ms.Sowmya, Dr.K.Chaitanya in”Tomato leaf disease prediction by using convolutional neural network”,IJERT,2022
3. Mr.P.Yugandhar Reddy,Sali Nikitha, Dr.K. Chaitanya,”Enhancing Heart Disease Prognosis with machine learning techniques” in the Journal of emerging technologies and innovative Research(JETIR,vol 10,ISSN-2349-5162),October 2023.
Patents:
1. Patent on Implementation of Data Mining in Precision Agriculture by Patent Application Publication, India with Application Number: 202341029113 A, Publication date 5-5-2023.