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Bonomali Khuntia

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Bonomali Khuntia

Dr.Bonomali Khuntia

Designation: Assistant Professor

Qualification: Ph.D., Tezpur Central University

Phone No.: 8895506199

ORCID: https://orcid.org/0000-0002-6223-0413

VIDWAN ID: https://vidwan.inflibnet.ac.in/profile/211591

Google Scholar ID: https://scholar.google.com/citations?hl=en&user=jrjGRX4AAAAJ

E-mail ID: bk.cs@buodisha.edu.in

Biosketch

Dr. Bonomali Khuntia received his Ph.D. degree in Computer Science from Tezpur Central University, Assam....

He has been teaching in the Department of Computer Science, Berhampur University since 2011. His area of research is Machine Learning and Soft Computing. He has published 32 papers in various international and national journals and conferences. He has 14 years of teaching experience in different engineering colleges for graduate and post-graduate students. He has received AICTE Young Teacher’s Career Award for the year 2007-10.

Machine Learning and Soft Computing

  • Worked as a Research Scholar in Department of Computer Science & Engineering, NERIST from Jan’ 2002 to Mar’ 2005.
  • Worked as a Senior Lecturer in GIET, Gunupur from 18 Oct’ 2006 to 30th Sept’ 2010.
  • Worked as Asst. Professor Silicon Institute of Technology from 1st Oct’ 2010 till 13th Oct’2011.
  • Working as Asst. Professor in Department of Computer Science, Berhampur University since 14th Oct’ 2011 till date.

International Journals

  1. C. Palai, P. K. Jena, B. Khuntia, T. K. Mishra, and S. R. Pattanaik, “Content-Based Image Retrieval Using Adaptive CIE Color Feature Fusion,” Rev. Intell. Artif., vol. 37, no. 1, pp. 63–72, Feb. 2023, doi: 10.18280/ria.370109.
  2. K. Jena, B. Khuntia, C. Palai, M. Nayak, T. K. Mishra, and S. N. Mohanty, “A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features,” Big Data Cogn. Comput., vol. 7, no. 1, p. 25, Jan. 2023, doi: 10.3390/bdcc7010025.
  3. Patra, B. Khuntia, and D. C. Panda, “Application of Information Gain Based Weighted LVQ for Heart Disease Diagnosis,” Int. J. Intell. Syst. Appl. Eng..
  4. Nayak, B. Khuntia, L. K. Murmu, B. Sahu, R. S. Pandit, and T. K. Barik, “Artificial intelligence (AI): a new window to revamp the vector-borne disease control,” Parasitol. Res., vol. 122, no. 2, pp. 369–379, Feb. 2023, doi: 10.1007/s00436-022-07752-9.
  5. K. Jena, B. Khuntia, C. Palai, M. Nayak, and T. K. Mishra, “Content Based Image Retrievalusing Weighted Feature Fusion,” Comput. Integr. Manuf. Syst..
  6. Patra, B. Khuntia, and D. C. Panda, “Hybrid Optimization-Based Structural Design of Deep Q Network With Feature Selection Algorithm for Medical Data Classification:,” Int. J. Swarm Intell. Res., vol. 13, no. 1, pp. 1–20, Jul. 2022, doi: 10.4018/IJSIR.304722.
  7. Patra, R., Khuntia, B., & Panda, D. C. (2022). Fractional rider gradient descent applied u-net based segmentation with optimal deep maxout network for lung cancer classification using histopathological images. Research on Biomedical Engineering, 38(2), 599-615.
  8. K. Sharma and B. Khuntia, “Integrated security for data transfer and access control using authentication and cryptography technique for Internet of things,” Int. J. Knowl.-Based Intell. Eng. Syst., vol. 24, no. 4, pp. 303–309, Jan. 2021, doi: 10.3233/KES-190116.
  9. P. Kumar, S. K. Sharma, and B. Khuntia, “Integrated Security Mechanism For Smart Applications using Feedback And Blowfish Cryptosystem,” Int. J. Grid Distrib. Comput., vol. 13, no. 1, 2020.
  10. Baik, S. K. Sharma, and B. Khuntia, “Encrusted Security for Internet of Things Using MAC-OMURA,” Int. J. Control Autom., vol. 11, no. 2, pp. 45–54, Feb. 2018, doi: 10.14257/ijca.2018.11.2.05.
  11. M. Patro, B. Khuntia, and M. Ranjan Patra, “Quality Assessment of Web Services Using Soft Computing Techniques,” Trans. Netw. Commun., vol. 3, no. 1, Feb. 2015, doi: 10.14738/tnc.31.958.
  12. Neog, D. K., Pattnaik, S. S., Panda, D. C., Devi, S., Khuntia, B., & Dutta, M. (2005). Design of a wideband microstrip antenna and the use of artificial neural networks in parameter calculation. IEEE Antennas and Propagation Magazine, 47(3), 60-65.
  13. Khuntia, S. S. Pattnaik, D. C. Panda, D. K. Neog, S. Devi, and M. Dutta, “Genetic algorithm with artificial neural networks as its fitness function to design rectangular microstrip antenna on thick substrate,” Microw. Opt. Technol. Lett., vol. 44, no. 2, pp. 144–146, Jan. 2005, doi: 10.1002/mop.20570.
  14. S. Pattnaik, B. Khuntia, D. C. Panda, D. K. Neog, S. Devi, and M. Dutta, “Application of a genetic algorithm in an artificial neural network to calculate the resonant frequency of a tunable single-shorting-post rectangular-patch antenna,” Int. J. RF Microw. Comput.-Aided Eng., vol. 15, no. 1, pp. 140–144, Jan. 2005, doi: 10.1002/mmce.20060.
  15. K. Neog, S. S. Pattnaik, M. Dutta, S. Devi, B. Khuntia, and D. C. Panda, “Inverted L‐shaped and parasitically coupled inverted L‐shaped microstrip patch antennas for wide bandwidth,” Microw. Opt. Technol. Lett., vol. 42, no. 3, pp. 190–192, Aug. 2004, doi: 10.1002/mop.20248.
  16. Khuntia, S. S. Pattnaik, D. C. Panda, D. K. Neog, S. Devi, and M. Dutta, “A simple and efficient approach to train artificial neural networks using a genetic algorithm to calculate the resonant frequency of an RMA on thick substrate,” Microw. Opt. Technol. Lett., vol. 41, no. 4, pp. 313–315, May 2004, doi: 10.1002/mop.20126.
  17. S. Pattnaik, B. Khuntia, D. C. Panda, D. K. Neog, and S. Devi, “Calculation of optimized parameters of rectangular microstrip patch antenna using genetic algorithm,” Microw. Opt. Technol. Lett., vol. 37, no. 6, pp. 431–433, Jun. 2003, doi: 10.1002/mop.10940.

Ph. D. Scholars Awarded/Submitted:

Radha Nath Patra,Enhancing Classification Accuracy of Healthcare Data for Disease Diagnosis using Machine Learning(Submitted)

Pradeep Kumar Jena, Image Pattern Analysis using Machine Learning (Submitted)

Santosh Kumar Sharma(2021), Recommending Multilayer Security Approach for Internet of Things (Awarded)

Computer Architecture, Computer Graphics, Soft Computing, Computer Based Optimization Techniques