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Dr. Chandan Kumar

Assistant Professor (Sl. Gr.), School of Computing, Department of Computer Science and Engineering, Amaravati

Qualification: BCA, MCA, Ph.D
k_chandan@av.amrita.edu
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Bio

Dr. Chandan Kumar is currently working as an Assistant Professor (Sl. Gr.) in the Department of Computer Science and Engineering, School of Computing, Amaravati Campus.

Earlier, he worked as a Professional Consultant at University Grants Commission (UGC) in the Institution of Eminence (IoE) bureau, New Delhi from July 2019 to September 2021. Before joining UGC, he worked as Lecturer at NIT Jamshedpur from April 2011 to May 2018.

He received his Doctor of Philosophy (Ph.D.) from NIT Jamshedpur in 2018. His Ph.D. thesis title is “Software Quality and Reliability Modeling Using Causal Relationships of Software Metrics”.

Dr. Chandan Kumar serves as an editorial member for esteemed journals, a conference chair, and a reviewer. He is an active member of professional bodies like IEEE, ACM, IAENG and IACSIT. Dr. Kumar is a well experienced academician & administrator with a strong commitment to education, research, and professional growth.

Publications

Journal Article

Year : 2024

Thermal performance of wetted concave fin of functionally graded material: An application of Laguerre-based collocation approach

Cite this Research Publication : Chandan, K, Srilatha Pudhari, K Karthik, Varun Kumar R.S, Alghamdi Metib, Muhammad Taseer, Kumar Raman. Thermal performance of wetted concave fin of functionally graded material: An application of Laguerre-based collocation approach. Numerical Heat Transfer, 2024. Part B: Fundamentals. Impact Factor 1 – Q3

Year : 2024

Analyzing magnetic dipole impact in fluid flow with endothermic/exothermic reactions: neural network simulation

Cite this Research Publication : RS, V. K., Chandan, K., Sharma, N., Karthik, K., Kumar, N., Gowda, R. P., ... & Gill, H. S. Analyzing magnetic dipole impact in fluid flow with endothermic/exothermic reactions: neural network simulation. Physica Scripta, 2024, 99(6), 065215. Impact Factor 2.9 – Q2

Year : 2024

A physics-informed machine learning prediction for thermal analysis in a convective-radiative concave fin with periodic boundary conditions

Cite this Research Publication : Kumar, C., Srilatha, P., Karthik, K., Somashekar, C., Nagaraja, K. V., Varun Kumar, R. S., & Shah, N. A. A physics-informed machine learning prediction for thermal analysis in a convective-radiative concave fin with periodic boundary conditions. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 2024, e202300712. Impact Factor 2.3 – Q2

Year : 2023

Contribution of Business Research to Sustainable Development Goals: Bibliometrics and Science Mapping Analysis

Cite this Research Publication : Raman, R., Lathabhai, H., Mandal, S., Kumar, C., Nedungadi, P., "Contribution of Business Research to Sustainable Development Goals: Bibliometrics and Science Mapping Analysis," Sustainability, Volume 15, Issue 17, September 2023, DOI: 10.3390/su151712982

Publisher : Sustainability

Year : 2023

Towards improving the performance of blind image steganalyzer using third-order SPAM features and ensemble classifier

Cite this Research Publication : Hemalatha, J., Sekar, M., Kumar, C., Gutub, A., & Sahu, A. K. (2023). Towards improving the performance of blind image steganalyzer using third-order SPAM features and ensemble classifier. Journal of Information Security and Applications, 76, 103541.

Publisher : Elsevier

Year : 2023

A generalized approach to construct node probability table for Bayesian belief network using fuzzy logic

Cite this Research Publication : 1. Kumar, C., Jha, S. K., Yadav, D. K., Prakash, S., & Prasad, M. (2023). A generalized approach to construct node probability table for Bayesian belief network using fuzzy logic. The Journal of Supercomputing, 1-23.

Year : 2023

Latest Trends in Deep Learning Techniques for Image Steganography

Cite this Research Publication : V Kumar, S Sharma, C Kumar, A K Sahu, "Latest Trends in Deep Learning Techniques for Image Steganography," International Journal of Digital Crime and Forensics (IJDCF), IGI, 15 (1), 1-14, DOI: 10.4018/IJDCF.318666, 2023.

Year : 2022

A Comparative Study of Machine Learning Regression Approach on Dental Caries Detection

Cite this Research Publication : Kumar, C., & Singh, B. (2022). A Comparative Study of Machine Learning Regression Approach on Dental Caries Detection. Procedia Computer Science, 215, 519-528.

Publisher : Elsevier

Year : 2021

Security Risk Assessment of Information Systems in an Indeterminate Environment

Cite this Research Publication : Basumatary, B., Kumar, C., & Yadav, D. K. (2021, January). Security Risk Assessment of Information Systems in an Indeterminate Environment. In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 82-87). IEEE.

Publisher : IEEE

Year : 2017

Software Defects Estimation Using Metrics of Early Phases of Software Development Life Cycle

Cite this Research Publication : Chandan Kumar, D. K. Yadav, “Software Defects Estimation Using Metrics of Early Phases of Software Development Life Cycle,” International Journal of System Assurance Engineering and Management, Vol. 8, Suppl. 4, pp 2109–2117, 2017. (Springer). Electronic ISSN 0976-4348 Print ISSN 0975-6809, Indexed in Scopus and Web of Science (WOS)

Publisher : Springer

Year : 2016

Analysis of Domain Expert Opinion in Early Software Defect Prediction

Cite this Research Publication : Chandan Kumar, D. K. Yadav, “Analysis of Domain Expert Opinion in Early Software Defect Prediction,” Far East Journal of Electronics and Communications, S. Vol. 3(1), pp. 115–130, 2016., ISSN: 0973-7006, Scopus Indexed

Publisher : Far East Journal of Electronics and Communications

Year : 2016

Defect Estimation and Severity Analysis of Software Artifacts

Cite this Research Publication : Chandan Kumar, D. K. Yadav, “Defect Estimation and Severity Analysis of Software Artifacts,” International Journal of Control Theory and Applications, Vol. 9(41) pp. 863–872, 2016., ISSN: 0974-5572, Scopus Indexed

Publisher : International Journal of Control Theory and Applications

Year : 2015

A Bayesian Approach of Software Risk Assessment

Cite this Research Publication : Chandan Kumar, D. K. Yadav, “A Bayesian Approach of Software Risk Assessment,” International Journal of Applied Engineering Research, Vol. 10, No.55, pp. 2366–2371, 2015. Print ISSN: 0973-4562, E ISSN: 0973-9769, Scopus Indexed

Publisher : Research India Publication

Year : 2015

A probabilistic software risk assessment and estimation model for software projects

Cite this Research Publication : Chandan Kumar, D. K. Yadav, “A Probabilistic Software Risk Assessment and Estimation Model for Software Projects,” Elsevier Procedia-Computer Science, Vol. 54, pp. 353–361, 2015. Elsevier Publication, ISSN: 1877-0509, Scopus Indexed

Publisher : Elsevier Publication

Conference Paper

Year : 2017

Defect Estimation and Severity Analysis of Software Artifacts

Cite this Research Publication : Chandan Kumar and D. K. Yadav, “Defect Estimation and Severity Analysis of Software Artifacts”, 2nd International Conference on Sustainable Computing Techniques in Engineering, Science and Management (SCESM-2017), Jain College of Engineering, Belagavi, India, January 27-28, 2017.

Publisher : SCESM-2017

Year : 2016

Analysis of Domain Expert Opinion in Early Software Defect Prediction

Cite this Research Publication : Chandan Kumar and D. K. Yadav, “Analysis of Domain Expert Opinion in Early Software Defect Prediction”, 3rd International Conference on Computing Sciences-‘Shannon100’, Lovely Professional University, Punjab, India, April 8-9, 2016.

Publisher : 3rd International Conference on Computing Sciences-‘Shannon100

Year : 2015

A Method for Developing Node Probability Table Using Qualitative Value of Software Metrics

Cite this Research Publication : Chandan Kumar and Dilip Kumar Yadav, “A Method for Developing Node Probability Table Using Qualitative Value of Software Metrics”, 3rd International Conference on Computer, Communication, Control and Information Technology (C3IT 2015), Academy of Technology (AOT), Adisaptagram, West Bengal, India 7-8 Feb. 2015.

Publisher : Academy of Technology (AOT)

Year : 2015

A Probabilistic Software Risk Assessment and Estimation Model for Software Projects

Cite this Research Publication : Chandan Kumar and Dilip Kumar Yadav, “A Probabilistic Software Risk Assessment and Estimation Model for Software Projects”, Eleventh International Multi-Conference on Information Processing-2015 (IMCIP-2015), August 21-23, 2015, Bangalore, India.

Publisher : IMCIP-2015

Year : 2015

A Bayesian Approach of Software Risk Assessment

Cite this Research Publication : Chandan Kumar and Dilip Kumar Yadav, “A Bayesian Approach of Software Risk Assessment”, International Conference on Advances in Applied Engineering & Technology-2015 (ICAAET-2015), Syed Ammal Engineering College, Ramanathapuram, Tamilnadu, India, May 14-15, 2015.

Publisher : Syed Ammal Engineering College

Year : 2013

Software Quality Modeling using Metrics of Early Artifacts

Cite this Research Publication : Chandan Kumar and Dilip Kumar Yadav, “Software Quality Modeling using Metrics of Early Artifacts” 4th International conference (CONFLUENCE 2013), Amity University, Greater Noida, U.P., India, 26-27 Sept. 2013.

Publisher : CONFLUENCE 2013

Conference Proceedings

Year : 2024

Effective Prediction of Coefficients and Performance of Airfoil Using ANN, In 2024 Fourth International Conference on Advances in Electrical

Cite this Research Publication : Bhutra, H., Chandan, K., & Smitha, T. V. Effective Prediction of Coefficients and Performance of Airfoil Using ANN, In 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), (2024, January). (pp. 1-5). IEEE.

Year : 2021

Security Risk Assessment of Information Systems in an Indeterminate Environment

Cite this Research Publication : B Basumatary, Chandan Kumar and D K Yadav, “Security Risk Assessment of Information Systems in an Indeterminate Environment”, 11th International conference (CONFLUENCE 2021), Amity University, Greater Noida, U.P., India, 28-29 Jan. 2021.

Publisher : CONFLUENCE 2021

Year : 2016

Effect and Analysis of Domain Expert Opinion in Case of Software Defect Estimation

Cite this Research Publication : Chandan Kumar, D. K. Yadav, “Effect and Analysis of Domain Expert Opinion in Case of Software Defect Estimation”, In Proc. of International Conference on Engineering and Material Sciences-ICEMS-2016, Jaipur National University, Jaipur, India, 17-19 March 2016.

Publisher : In Proc. of International Conference on Engineering and Material Sciences-ICEMS

Year : 2015

Early Phase-Wise Software Defect Severity Prediction Approach Using Software Metrics

Cite this Research Publication : Chandan Kumar and Dilip Kumar Yadav, “Early Phase-Wise Software Defect Severity Prediction Approach Using Software Metrics”, CSI-2015; 50th Golden Jubilee Annual Convention on “Digital Life”, Bharati Vidyapeeth Educational Complex, New Delhi, India, 2-5 Dec. 2015.

Publisher : Bharati Vidyapeeth Educational Complex

Year : 2014

Software Defect Estimation Using Metrics of Early Phases of SDLC

Cite this Research Publication : Chandan Kumar and Dilip Kumar Yadav, “Software Defect Estimation Using Metrics of Early Phases of SDLC” International Conference of on Recent Trends in Computer Science & Engineering (ICRTCSE-2014), Central Univeristy of Bihar (CUB), Patna, India, Feb. 8-9,2014.

Publisher : ICRTCSE-2014

Book Chapter

Year : 2024

An Efficient Prediction of battery capacity based on temperature and state of charge using impedance

Cite this Research Publication : Panimathi, B., Chandan, K., Nimmy, P., & Smitha, T. V.  An Efficient Prediction of battery capacity based on temperature and state of charge using impedance,
January In 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2024 (pp. 1-5). IEEE.

FDP/Workshop Attended
  1. Two Weeks Online FDP on “Malware Analysis with Data Science” Organized by NIT Patna, 29 August to 09 September 2022.
  2. One Week Online FDP on “AI and ML Applications in Electrical and Electronics Engineering” Jointly Organized by SIET, Prayagraj, J.K. Institute of Applied Physics and Technology (University of Allahabad), and I.E.T., Dr. Ram Manohar Lohia Avadh University, Ayodhya during 20-25 August 2022.
  3. Online Research FDP on “Bibliometric Analysis”, Organized by International Management Institute, Bhubaneswar on 12 August 2022.
  4. Workshop on “Information and Network Security”, Organized by Department of Computer Science, IIT (ISM) Dhanbad, 14-15 March 2014.
  5. Workshop on “Cryptography”, Organized by Department of Computer Science, IIT Patna, 6-7 April 2013.
  6. Indo-Australia Workshop on “Optimization Techniques for Human Language Technology”, Organized by Department of Computer Science, IIT Patna, 16 December 2012.
  7. 5th National Workshop on “Recent Trends in Object-Oriented Software Testing”, Organized by Department of Computer Science, NIT Rourkela during 9-11 June 2012.
  8. DST Sponsored SERC School on “Advanced Software Engineering Techniques and Their Applications”, Organized by Department of Computer Science, NIT Rourkela during 4-8 June 2012.
Memberships

Membership of Professional Bodies

                                  Society Membership detail Membership Number
International Association of Engineers (IAENG) Member 120591.
International Association of Computer Science and Information Technology (IACSIT) Member 80344327
IEEE Member
ACM Member
Reviewer

Journals

  1. International Journal of Systems Assurance Engineering and Management, Springer
  2. Reliability Engineering and System Safety, Elsevier
  3. Artificial Intelligence Review, Springer

Conferences

  1. International Conference on Information Technology (InCITe) 2022
  2. Confluence-2022
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