About

Dr. Vinod Kumar is currently working as Assistant Professor in the School of Computing Computer Application and Technology. He has a total experience of more than 8 years of teaching and research. He has been associated with Galgotias University since 2023. he is a firm believer in productivity and efficiency at work. he Exhibits an honest work ethic and the ability to excel in a fast-paced, time-sensitive environment. Being a passionate teacher, He believes that teaching is not merely restricted to making the students understand the underlying concepts of a course but also to developing critical thinking and evaluating alternate approaches for problem-solving. He always puts his efforts toward the overall development of his students. He is an active researcher in Big Data Analytics, Web Mining, Machine Learning, Blockchain Technology, Internet of Things, and Graph Neural networks. He has published more than 20 research articles in reputed SCIE and Scopus journals, also presented his research findings in various national and international research conferences.

Experience and Designation:

• 8+ years of teaching and Research experience

Academic Qualification:

• PhD in Computer Science, UGC NET (Computer Science and Applications)

Publications:

• SCI Article Publications: 09
• Scopus Article Publications: 08
• Non-Scopus/UCG Article Publications: 05
• International/National Conference Publications:10
• Book Chapter Publications: 06
• Book Publications: 02
• Patent/Grant Publications: 01

Workshop, FDP & Training Participated and attended:

• 18

Guest Lectures delivered:

• 06

Membership Certification & Association:

• IAENG
• Computer Science Teachers Association (CSTA)
• Internet Society

Programming Skill/Knowledge:

• Python, Core Java, C, C++

Area of Interest:

• Web Mining
• Machine Learning
• Internet of things
• Big Data Analytics

Reviewer for the following SCIE Journals

• Springer -Journal of Big Data (ISSN: 2196-1115)
• Big Data and Cognitive Computing (ISSN: 2504-2289)
• Water (ISSN 2073-4441) 
• Applied Sciences (ISSN: 2076-3417)
• Electronics (ISSN 2079-9292)