Kuldeep Singh Rana

Department of Computer Applications

  • DepartmentDepartment of Computer Applications
  • DesignationAssistant Professor
  • QualificationPh.D. (Pursuing), MCA, B.Sc. (PCM)
  • Emailkuldeep.r@invertis.org
  • Experience20 Years (17 Years in Academic + 3 Years in Industry)
  • Publications

    1

    View Research

  • Research

    10

  • Projects/ Achievements

    CTET-2020

Mr. Kuldeep Singh Rana is an Assistant Professor in the Department of Computer Applications at Invertis University, Bareilly, with 20 years of combined academic and industry experience. His professional background includes 17 years in academia and 3 years of industry experience. He is currently pursuing a Ph.D. in Computer Applications from Invertis University and holds an MCA degree also.

Before joining Invertis University, he served in many other reputed college and universities. His industry experience includes working as a Trainee Programmer and Manual Software Tester at Activa Softech Ltd., Noida.

His teaching areas include Java Programming, Python, C, C++, C#, .NET, JavaScript, JSP and Servlets, Artificial Intelligence, Data Warehousing and Data Mining, Software Engineering, and UiPath. His research interests encompass Artificial Intelligence, Blockchain, Edge Computing, Internet of Things (IoT), and Natural Language Processing. He has contributed research publications to outlets including IEEE, IJIRT, IJRPR, and IJARCSSE, along with an accepted manuscript with Taylor & Francis.

Mr. Rana has contributed to academic activities as a Convenor and Session Chair at international conferences, including ICACTA, and has served as a research paper reviewer and invited expert speaker at faculty development programmes. His administrative responsibilities have included serving as Examination Controller, coordinating NAAC criteria activities, and managing examination-related processes.

He continues to develop his expertise in emerging technologies through certifications in Data Science, Generative AI, Cybersecurity, SQL, and Blockchain, as well as participation in faculty development programmes. His academic and professional interests bring together teaching, research, technology training, and academic administration in the field of computer applications.

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