Dr. (Mrs) Klinsega Jeberson
Dr. (Mrs) Klinsega Jeberson
Associate Professor

Department
Department of Computer Science & Information Technology
Area of Specialization
Data Mining, Machine Learning, Deep learning
Phone No
9451593916
E-mail
klinsega.jeberson@shuats.edu.in, klinsega.jeberson@shiats.edu.in

Educational Qualification
DegreeUniversity/BoardYear
Ph.DSam Higginbottom University of Agriculture, Technology & Sciences, Uttar Pradesh2018
M.PhilManonmaniam Sundaranar University, Tirunelveli, Tamil Nadu2013
NETUniversity Grants Commission2012
M.C.ABharathidasan University, Trichy2003
B.ScManonmaniam Sundaranar University, Tirunelveli, Tamil Nadu2000


Professional Summary

Dr. Klinsega Jeberson is an accomplished academic with over two decades of experience in higher education and research. Since September 2004, she has been serving as an Assistant Professor (Selection Grade) in the Department of Computer Science & IT at Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS), Prayagraj, India.

Dr. Jeberson holds a B.Sc. in Physics (2000) from Manonmaniam Sundaranar University, Tamil Nadu, and an M.C.A. (2003) from Bharathidasan University, Tamil Nadu. In 2009, she earned an M.Phil. in Computer Science from Manonmaniam Sundaranar University, further solidifying her academic foundation. She qualified for the prestigious National Eligibility Test (NET) conducted by the University Grants Commission (UGC) in 2013.

In pursuit of academic excellence, Dr. Jeberson completed her Ph.D. in Computer Applications from SHUATS. Throughout her career, she has contributed to both teaching and research, developing expertise in her field and shaping the next generation of IT professionals. 


Expertise

Data Mining, Machine Learning and Deep Learning


Publications

Paper in journals:

  1. Ahmed Saleem Abbas, W. Jeberson, V.V. Klinsega (2012), ‘A Literature Review and Classification of Selected Software Engineering Researches’ International Journal of Engineering and Technology Volume 2 No. 7, July, 2012 ISSN: 2049-3444 © 2012 – IJET Publications UK. 1256-1282 (Impact factor: 0.8470  ref: http://www.sciencepubco.com/index.php/IJET)
  2. Ahmed Saleem Abbas, W. Jeberson, V.V. Klinsega,(2012), ’ The Need of Re-engineering in Software Engineering’ International Journal of Engineering and Technology Volume 2 No. 2, February, 2012 ISSN: 2049-3444 © 2012 – IJET Publications UK. All rights reserved. 292-295 (Impact factor: 0.8470  ref: http://www.sciencepubco.com/index.php/IJET).
  3. Ahmed Saleem Abbas, W. Jeberson, V.V. Klinsega  (2013), ‘Implemantation of fusion model to re-engineer legacy software’ International Journal of Computer Science and Engineering (IJCSE)ISSN 2278-9960 Vol. 2, Issue 2, 53-64 © IASET.(Impact factor: 3.093 Ref: http://www.sjifactor.inno-space.net/passport.php?id=1728)
  4. Saleem Abbas, A., Jeberson, W., & Klinsega, V. V. (2013). Proposed Software Re-engineering Process That Combine Traditional Software Re-engineering Process With Spiral Model. International Journal of Advanced Research in Computer Science, 4(1).
  5. Ismail, M. A., & Jeberson, K. (2014). Secure Data Sharing Through Cloud Computing. International Journal of Computer Engineering & Technology (IJCET), 5, 41-47. (SCOPUS)
  6. Wilson Joseph, W. Jeberson and Klinsega Jeberson,(2015) "Count based K-Means Clustering Algorithm", International Journal of Current Engineering and Technology E-ISSN 2277 – 4106, P-ISSN 2347 – 5161, 2015. (Global Impact Factor 7.151 in 2017)
  7. Dias, D., Jeberson, W., & Jeberson, K. (2016). Energy Efficient LEACH Protocol with reduced Data Redundancy in WSN. 1. 1. Estimation of Benefit-Cost Ratio under Composite Fish Farming in Village Ponds (Earthen) of Allahabad District 1-4, 71(2).
  8. Kumra A, Jeberson W, Jeberson K. (2017), Intrusion Detection System Based on Data Mining Techniques. Orient.J. Comp. Sci. and Technol; ISSN : 0974-6471 Online ISSN : 2320-848110(2)( NASS 4.79)
  9. Jeberson, K., Kumar, M., Stephenson, B., & Yadav,R.(2017) "Machine-learning approaches to assist in accurate and extensive chronic kidney disease screening. International Journal of Computer Engineering and Applications, Volume XI, Issue IX, September 17, www.ijcea.com ISSN 2321-3469. (UGC Journal 44835)
  10. Klinsega Jeberson, Manish Kumar, Raghav Yadav,(2018) “Machine-learning techniques for clinical decision making and prediction: a review”, International journal of Computer Sciences and Engineering, Volume 6, Issue 5. (UGC Journal no: 63193, Impact Factor 3.022 )
  11. Youssef, Y.E.M., Klinsega, Jeberson, W. (2019), “Efficient data aggregation protocol for WSN to maintain quality of service”, Journal of Advanced Research in Dynamical and Control Systems, Volume 11 | 02-Special Issue, Pages: 1557-1575. (Scopus Indexed)
  12. Youssef Emhemmad Mohammad Youssef, Klinsega Jeberson and Wilson Jeberson, (2019) “Optimal Lifetime Aware Data Aggregation for WSNs using Optimization Techniques” Indian Journal of Science and Technology, Vol 12(22), (Indexed in Web of Science (Zoological Record))
  13. Jeberson K., Kumar M., Jeyakumar L., Yadav R. (2020) A Combined Machine-Learning Approach for Accurate Screening and Early Detection of Chronic Kidney Disease. In: Agarwal S., Verma S., Agrawal D. (eds) Machine Intelligence and Signal Processing. MISP 2019. Advances in Intelligent Systems and Computing, vol 1085. Springer, Singapore (SCOPUS)
  14. Adesh Kumar Srivastava, Klinsega Jeberson, Wilson Jeberson (2022), "A systematic review on data mining application in Parkinson's disease", Neuroscience Informatics, ISSN 2772-5286, https://doi.org/10.1016/j.neuri.2022.100064. (ScienceDirect / SCOPUS)
  15. Dayanand, Wilson Jeberson and Klinsega Jeberson(2023)"Machine Learning-Based CAPTCHA Defenses for Mobile and IoT Devices", International Journal of Architecture, Engineering and Construction,  Vol. 12 No. 2 ,57-64,ISSN (online) 1911-1118, ISSN (print): 1911-110X,(UGC CARE 1 Journal)
  16. Dayanand, Wilson Jeberson and Klinsega Jeberson (2023),"A pioneering strategy for web security: EcoVerse-CAPTCHA integration, bolstering security with immersive ecosystem simulation game design and machine learning fusion”, International Journal of Architecture, Engineering and Construction, International association for sustainable development and management (iasdm), Vol. 12 No. 2,PP 88-94. (UGC CARE 1 Journal)
  17. Harpal Singh Sethi, Klinsega Jeberson, Narendra Kumar Gupta, Arun Kumar Shukla, (2023) An Essay on Utilizing Machine Learning Algorithms to Detect and Identify Crop Diseases from Images for Early Intervention, Journal of Environment & Bio-sciences, 2023, Vol 37, Issue 2, p187, DOI: 10.59467/JEBS.2023.37.187
  18. Dayanand, Wilson Jeberson, Klinsega Jeberson,(2024) “Assessing the Impact of Captcha Complexity on User Experience” International Journal of All Research Education and Scientific Methods (IJARESM),ISSN: 2455-6211, Volume 12, Issue 3,DOI: https://doi.org/10.56025/IJARESM.2023.1201241754(UGC Approved Journal)
  19. Dayanand, Wilson Jeberson, Klinsega Jeberson (2024) "Next-Generation Captcha: Enhancing Security Through Hand Gestures and Gaming", Volume 12, Issue III, International Journal for Research in Applied Science and Engineering Technology (IJRASET) Page No: 2145-2152, ISSN : 2321-9653(UGC Approved Journal)
  20. Dayanand, W. Jeberson and K. Jeberson (2024), "CAPTCHA: Impact of Users with Learning Disabilities, and Implementation of Dynamic Game based Captcha to Improve the Access for Users with Learning Disabilities.”, IEEE Xplore, pp. 1624-1630, doi: 10.1109/ICDT61202.2024.10489000.(SCOPUS)
  21. Dayanand, W. Jeberson and K.Jeberson(2024), "Web Security Through Gesture Based CAPTCHA Using CNN Deep Learning Algorithm”, IEEE Xplore, pp. 1705-1709, doi: 10.1109/ICDT61202.2024.10489549.(SCOPUS)
  22. Dayanand, Wilson Jeberson, Klinsega Jeberson(2024), "Unveiling CAPTCHA Vulnerabilities: Breaking CAPTCHA Using Deep Learning Techniques and Design and Development of Robust CAPTCHA Technique," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 6, pp. 282-304.(SCOPUS)
  23. Dayanand, Wilson Jeberson, Klinsega Jeberson (2024), "Attack Vectors and Vulnerabilities: Investigating the Methodologies Employed by Attackers to Bypass CAPTCHA Mechanisms, Including Machine Learning-Based Algorithms, Optical Character Recognition (OCR) Techniques, and Adversarial Attacks", International Research Journal of Multidisciplinary Scope (IRJMS), Volume: 5 Issue: 3, 738-750, DOI: https://doi.org/10.47857/irjms.2024.v05i03.0828 (SCOPUS, UGC CARE II)
  24. Poornima Pandey, Klinsega Jeberson (2024) "Securing Data Privacy in the Food Supply Chain Using Integrated BC-FL Technology". Journal of The Institution of Engineers (India): Series B., https://doi.org/10.1007/s40031-024-01133-9, https://www.scopus.com/sourceid/21100831436 (SCI & SCOPUS Indexed) 
  25. Dayanand, Wilson Jeberson, Klinsega Jeberson (2024) "Enhancing CAPTCHA Security for Social Media Platforms Leveraging Machine Learning Methods", Indian Journal of Technical Education, 47(2), Special Issue, 107-113, ISSN 0971-3034 (UGC CARE LIST)
  26. Dayanand, Jeberson, W., Jeberson, K. (2025). Defensive Strategies Against Object Detection-Based CAPTCHA Attacks. In: Poonia, R.C., Sharma, S., Hameed, I.A., Upreti, K. (eds) Smart Cyber Physical Systems. ICSCPS 2024. Smart Innovation, Systems and Technologies, vol 435. Springer, Singapore. https://doi.org/10.1007/978-981-96-2182-8_42(SCOPUS)

Conferences

Paper in conferences

  1. Jeberson, W., Klinsega, V. V., & Mishr, A. C. (2007). Cluster Computing for Effective E-Governance. In GMSARN International Conference on Sustainable Development: Challenges and Opportunities for GMS (pp. 12-14).
  2. P.Stanley,  V.V. Klinsega and W.Jeberson (2007)  Biometric Smart Card Technology: A Future Authentication Tool for Smart Citizens National Conference on Emerging Technologies (Information Technology: A Global Indian Identity) NCET-08
  3. W.Jeberson, V.V.Klinsega, Alok Dwivedi (2008) E-Governance for Sustainable and reliable development of agriculture community in rural areas, Presented in National Seminar on Information and Communication technology in Life sciences jointly organised by Computer Society of India
  4. Stanley, P., Jeberson, W., & Klinsega, V. V. (2009). Biometric Authentication: A Trustworthy Technology for Improved Authentication. In 2009 International Conference on Future Networks (pp. 171-175). IEEE.
  5. Jeberson, K., Kumar, M., Jeyakumar, L., & Yadav, R. (2019). A Combined Machine-Learning Approach for Accurate Screening and Early Detection of Chronic Kidney Disease. In International Conference on Machine Intelligence and Signal Processing (pp. 271-283). Springer, Singapore.
  6. Dayanand, W. Jeberson and K. Jeberson(2024) ,“Web Security Through Gesture Based CAPTCHA Using CNN Deep Learning Algorithm”," 2024 2nd International Conference on Disruptive Technologies (ICDT), Greater Noida, India, 15-16 March 2024.
  7. Dayanand, W. Jeberson and K. Jeberson(2024), “CAPTCHA: Impact of Users with Learning Disabilities, and Implementation of Dynamic Game based Captcha to Improve the Access for Users with Learning Disabilities.”," 2024 2nd International Conference on Disruptive Technologies (ICDT), Greater Noida, India, 15-16 March 2024.
  8. Dayanand, W. Jeberson and K.Jeberson (2024),"Enhancing CAPTCHA security for social media platforms leveraging machine learning methods", International conference on Emerging Trends: Innovations & Challenges in Information Technology, Bharati Vidyapeeth’s Institute of Management and Information Technology, Navi Mumbai, 29th - 30th June 2024.
  9. Dayanand, W. Jeberson and K.Jeberson (2024),"Next-Generation Hybrid Game -Based CAPTCHA: Innovative Techniques and Implementation", International conference on Mathematics and its Applications in Science and Technology (ICMAST-2024), Central University of Punjab,Bathinda, 30th - 31th August 2024.
  10. Dayanand, W. Jeberson and K.Jeberson (2024),"Defensive Strategies Against Object Detection-based CAPTCHA Attacks", "International Conference on Smart Cyber Physical Systems" organized by the School of Sciences, CHRIST  University, Delhi NCR held on 13-14 September 2024.

Other

Academic Responsibilities:

  1. Research Co-ordinator Vaugh Institute of Agricultural Engineering and Technology (VIAET) since September 2024.
  2. Programme Coordinator for MCA programme since 2020 in the Department of Computer Science & I.T.
  3. Departmental Event Coordinator 2022-24 in the Department of Computer Science & I.T.

Awards received:

  1. Cleared UGC-NET examination by the University Grants Commission in Computer Science and Applications (2013)
  2. Awarded Elite certificate in the online course on "Introduction to Machine Learning" organized by IIT Kharagpur in partnership with  AICTE through NPTEL, Ministry of Education, Government of India. (Oct 2023)
  3. Received the Best Paper Award for the paper titled “CAPTCHA: Impact on Users with Learning Disabilities and Implementation of Dynamic Game-Based CAPTCHA to Improve Access for Users with Learning Disabilities” during the IEEE 2nd International Conference on Disruptive Technologies (ICDT), organized by the Department of Computer Science & Engineering, G.L. Bajaj Institute of Technology, Greater Noida, India, on March 15-16, 2024.
  4. Received a Gold Medal and Topper of the top 5% in the online course on "Data Mining" organized by IIT Kharagpur in partnership with AICTE through NPTEL, Ministry of Education, Government of India. (April 2024)

Expert Lecture:

Delivered an Expert Lecture on “AI for Educators: Enhancing Teaching and Productivity” on 18th September 2025 during the 21-Day Faculty Development Programme (FDP) on “Innovations and Technology Adoption for Ensuring High Quality Education and Research in Higher Education Institutions”, organized by the Directorate of Internal Quality Assurance and Assessment (IQAA), Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS), Prayagraj.

Professional Course/Training completed:

  1. Orientation programme/Refresher course in Information Technology from Academic Staff College, University of Kerala, Trivandrum. (June 2008).
  2. Faculty Development Programme (FDP) on " Introduction to Machine Learning " from IIT Kharagpur in partnership with AICTE through NPTEL, Govt. of India. (Sept 2023)
  3. Faculty Development Programme (FDP) on "Data Mining" from IIT Kharagpur in partnership with AICTE through NPTEL, Govt. of India. (April 2024)
  4. NEP 2020 Orientation & Sensitization Programme under the Malaviya Mission Teacher Training Programme (MM-TTP) of the University Grants Commission (UGC), organized by the UGC-Malaviya Mission Teacher Training Centre, University of Allahabad, from 18th to 27th November 2024, with an A+ grade.(Nov. 2024)
  5. Massive Open Online Course (MOOC) on " ICT in Education " from Indira Gandhi National Open University (IGNOU), New Delhi through NPTEL, Ministry of Education, Govt. of India. (June 2025)
  6. Massive Open Online Course (MOOC) on " E-Commerce" from Indira Gandhi National Open University (IGNOU), New Delhi through NPTEL, Ministry of Education, Govt. of India. (June 2025)

Book Published:

  1. Book Title: Machine Learning Based Classification Techniques 
    Author: Dr.Klinsega Jeberson
    Published year: 2019
    Publisher : ‎ LAP Lambert Academic Publishing 
    Language ‏ : ‎ English, Paperback,  84pages, 
    ISBN-10 ‏ : ‎ 6139454034, ISBN-13 ‏ : ‎ 978-6139454037, 
    Country of Origin ‏ : ‎ USA