Jitendra Singh

About

Jitendra Singh is an Assistant Professor in the Department of Computer Science and Engineering at Sharda University. With over 15 years of teaching experience in India and abroad, he has contributed significantly to academia through his expertise in teaching core subjects such as Data Structures, Design and Analysis of Algorithms, DBMS, Android Applications Development, as well as specialized topics like Machine Learning and Deep Learning. He has previously worked at institutions such as SRMS CETR, Bareilly, Wachemo University, Ethiopia, and GL Bajaj ITM, Greater Noida before joining Sharda University in 2024.

Jitendra holds a B.Tech in Information Technology (2009) and an M.Tech in Software Engineering (2012) from Dr. APJ Abdul Kalam Technical University. He is currently pursuing a Ph.D. in Computer Science from Lovely Professional University. His research interests lie in the fields of Machine Learning and Algorithms, with several impactful research contributions, including 2 Scopus-indexed journal papers, 3 Scopus-indexed conference papers, and 1 Scopus-indexed book chapter.

He has completed various research projects, such as a Foliar Disease Detection System for farmers, a COVID-19 Outbreak Prediction System for Ethiopia, and a Decision-Making System for Crop Selection using machine learning techniques. His projects also include solutions for student seat allotment, social media analytics, and plant classification in the pharmacy industry.

Jitendra is a certified Python for Data Science Professional with expertise in Python and Java. He has conducted numerous workshops and attended faculty development programs (FDPs) to stay abreast of the latest trends in technology and pedagogy. Additionally, he serves as the Departmental Time Table Coordinator and actively contributes to administrative responsibilities.

Jitendra Singh is passionate about fostering innovation in computer science education and advancing research in emerging areas like machine learning and deep learning.

Experience

Total Years of Experience: 15 years (India and abroad)

Institutions Worked At:

1. SRMS CETR, Bareilly, UP, India (2009–2017)
2. Wachemo University, Hossaena, Ethiopia, North Africa (2017–2022)
3. GL Bajaj ITM, Greater Noida, UP, India (2022–2024)
4. Sharda University, Greater Noida, UP, India (2024–present)

Courses Taught:

• Core Subjects: Data Structures, Design and Analysis of Algorithms, DBMS, Android Applications Development
• Specialized Subjects: Machine Learning, Deep Learning
   

Administrative Responsibilities

• Departmental Time Table Coordinator

Technical Skills

• Expertise in Python and Java
• Certified in "Python for Data Science Professional" (Edureka, Grade A)
  • Implemented 33 case studies and 3 projects: Social Media, Food Supply among Countries, and Pharmacy Industry

Workshops and FDPs

• Conducted workshops on Python and Android
• Attended numerous Faculty Development Programs (FDPs)

Qualification

•  B.Tech in Information Technology, Dr. APJ Abdul Kalam Technical University, 2009
•  M.Tech in Software Engineering, Dr. APJ Abdul Kalam Technical University, 2012
•  Ph.D. (Pursuing) in Computer Science, Lovely Professional University

Research

Research Interests:

• Machine Learning
• Algorithms

Publications:

• Journals: 2 (Scopus Indexed)
• Conferences: 3 (Scopus Indexed), 10 (Others)
• Book Chapters: 1 (Scopus Indexed), 1 (Other)

Completed Research Projects:

1. Foliar Disease Detection System: Advisory app for farmers using CNN and Deep Learning.
2. COVID-19 Outbreak Prediction System in Ethiopia: Utilized Prophet and ARIMA models.
3. Decision-Making System for Crop Selection Based on Soil: Applied supervised machine learning.
4. Students Seat Allotment System: Developed using PHP and MySQL.
5. Prediction of Article Shares on Social Media.
6. Clustering Countries Based on Sales Data: Leveraged unsupervised machine learning and PCA.
7. Classification of Plant Leaves: Identified optimal classifiers for pharmacy industry metrics using supervised learning.