About:

Avneesh Kumar is working as a professor in the School of Computer application and Technology at Galgotia’s University, Greater Noida, India. He has over 18+ years of academic experience in computer application and has been with Galgotia's University since 2017.He completed his M.C.A. from Uttar Pradesh Technical University in Lucknow and his PhD in Computer Application from Jiwaji University, Gwalior, India. As an enthusiastic teacher, he believes that teaching is more than just helping students understand the underlying concepts of a course; it is also about developing critical thinking skills and evaluating alternative approaches to problem solving. He always put his efforts towards the overall development of his students. His research areas are machine learning, Deep Learning, Natural Language processing, big data analytics, software reliability, etc. He chaired numerous conferences and served on the programme committees of numerous conferences in India and abroad.

Experience and Designation:

• 18+ years of teaching experience

Academic Qualification:

• D. in Computer Science and Engineering
• Tech. in Computer Science and Engineering
• C.A. Master of Computer Application

Publications: (mention in numbers)

• SCI Article Publications: 2
• Scopus Article Publications: 10
• International/National Conference Publications:23
• Book Chapter Publications: 02

Membership Certification & Association:

• IFERP
• CSTA

Award & Recognition:

• He has gotten a Research Innovation Award for 2020 at Galgotia’s University.

Programming Skill/Knowledge:

• Java, Python

Workshop/Seminar Attended

• Intellent Systems
• Machine Learning and Its Applications using python
• Learning practical research skill and Techniques

Area of Interest:

• Deep Learning
• Machine Learning
• Natural Language Processing

Other Achievements:

• He has presented Research papers in various National and International conferences & more than 35 Papers Published in various National, international & On -Line Journals (SCOPUS).

Certifications

• “Teaching and Learning in Engineering (Tale)”,4-Weeks Course Feb-March- 2019.
• “Introduction to Machine Learning”, 12-Weeks Course Jan-April-2020Area of Interest.