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About me
I am a Post-Doctoral Fellow at the Department of Computer Science and Engineering, SRM University-AP, Andhra Pradesh, India. Previously, I was an Assistant Professor at the Ashoka School of Business, Hyderabad, India.
I have 5.8 years of teaching experience and 5.7 years of Research experience. Qualified Eligibility tests like AP.SET (2012), TN.SET (2012), and UGC.NET (2017) in Computer Science and Applications for Assistant Professor/Lectureships in India. I have published 20 research articles in refereed national and international journals. My research area is Machine Learning, Deep Learning, and Computer vision.
Research and teaching is my passion. ‘Machine Learning Lectures for Beginners’ is my YouTube channel (2,340 subscribers and 197,323 views, watch time (In hours) 20,040.8 , where I explain various topics on Machine learning and Deep learning.
https://researchid.co/premkumar
Education
➢ Ph.D. (full-time) in CSE (AI & ML) from Pondicherry University (A Central University), September 2017 to December 2023.
Thesis Title: “A Novel Approach for Multi-Level Dimensional Reduction for Classification of Tomato Plant Leaf Diseases using Transfer Learning on VGG16 Model” under the guidance of Dr. R. Lakshmi, Associate Professor, Department of Computer Science, Pondicherry University, Puducherry
➢ M.Tech (CSE) from Pondicherry University, Puducherry, With 7.88 CGPA, 2011-2013
Research Experience
Post-Doctoral Fellow, Department of Computer Science and Engineering, SRM University-AP, Andhra Pradesh, India (April 2024 to date)
Research Interest
Machine learning
Deep learning
Computer Vision
Technical Skills
1. Machine Learning Algorithms: Linear and logistic Regression, SVM, Decision Tree, Random Forest, KNN, ANN
2. Deep Learning Algorithms: CNN models (LeNet, AlexNet, VGG16, VGG19, ResNet50)
3. Modelling: Scikit-Learn, Keras, TensorFlow
4. Visualization: Matplotlib, Seaborn
5. Processing: NumPy, Pandas
Eligibility Test Qualified
1. UGC.NET Qualified for Assistant Professor/Lectureship in November-2017
2. AP.SET Qualified for Assistant Professor/Lectureship in July-2012
3. TN.SET Qualified for Assistant Professor/Lectureship in October-2012
Courses Taught
➢ Machine Learning
➢ Artificial Intelligence and Deep Learning
➢ Fundamentals of Data Science
➢ Introduction to R Programming
➢ Introduction to Python
➢ Python for Data Science
➢ Discrete Mathematical Structures
➢ Computer Graphics
➢ Operating Systems
➢ Software Engineering
➢ Database Management System
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