Grade "A+" Accredited by NAAC with a CGPA of 3.46
Placements
Grade "A+" Accredited by NAAC with a CGPA of 3.46
Placements

Shikha Gupta, Ph.D.

shikhagupta@sscbsdu.ac.in

Areas of Expertise

  • Bibliometric Analysis
  • Social Network Analysis
  • Quantum-inspired Computing
  • Evolutionary algorithms
  • Parallel computing
  • Deep learning
  • Process mining
  • Teaching Pedagogy
  • Bioinformatics
Detailed Resume

Shikha Gupta, Ph.D.

Professor

What is the purpose of life? If one were to express this in just a word, it would have to be “happiness”. The purpose of education must therefore accord with the purpose of life.

Biography

Dr. Shikha Gupta started her career in 1997 with HCL-Technologies and subsequently worked as a software analyst with XRT-CERG, Inc., USA. Teaching in SSCBS since 2001, she is currently working as Professor, Computer Science. She is a member of Skill Enhancement Council of University of Delhi under New Education Policy (NEP) 2020. She has taught subjects including Database Management Systems, Operating Systems, Document Preparation & Presentation Software, Computer Graphics for B.Sc. (H) Computer Science, B.Tech. (Computer Science), BIT, PGDCA, MCA. With more than 20 years of research experience, her recent interests include Bioinformatics, Educational Technology, Social network analysis, and Process mining. She has published and presented more than 30 research papers in journals and international conferences. Author and editor of books, she has been invited as a reviewer & editorial board member for journals, and technical committee member for international conferences.

Education

  • Ph.D. “Community Detection in Social Networks: A Quantum-inspired Evolutionary Approach”. Computer Science, University of Delhi, Delhi, India, 2017.
  • M.Phil. “Rule Mining Using Formal Concept Analysis”. Computer Science, Madurai Kamraj University, India, 2009.
  • M.C.A., University of Delhi, Delhi, India, 1997.

Publications

  • Tomar, S., Arundhathi, A., Gupta, S., & Sharma, M. (2024). Digital assessment: impact on student motivation, peer learning, group dynamics. Journal of Education and Learning (EduLearn), 18(1), 9-17. https://doi.org/10.11591/edulearn.v18i1.21138
  • Gupta, S. & Kumar (2024). A Quantum Evolutionary Algorithm Inspired by Manta Ray Foraging Optimization. International Journal of Computational Science and Engineering, 1-11. IF 2.0. https://doi.org/10.1504/IJCSE.2024.10062570
  • Gupta, P., Gupta, S. & Kumar (2024). DMRFO-CD: A Discrete Manta Ray Foraging-inspired Optimization Algorithm for Community Detection in Networks. International Journal of Computational Science and Engineering, 1-16. IF 2.0. https://doi.org/10.1504/IJCSE.2024.10063171
  • Gupta, A. & Gupta, S. (2024). Enhanced Classification of Imbalanced Medical Datasets using Hybrid Data. International Research Journal of Multidisciplinary Technovation (Accepted for publication), 1-13.
  • Gupta, S. & Kumar, A. (2024). Sentiment-aware Enhancements of Pagerank-based Citation Metric, Impact Factor, and H-index for Ranking the Authors of Scholarly Articles. Computer Science-AGH Journal (Accepted for publication), 1-34. IF 0.5.
  • Gupta, S., Deshmukh, S., & Kumar, N. (2024). MantaRay-ProM: An efficient process model discovery algorithm. AI Communications, (Preprint), 1-20. IF 0.8. Scopus, SCIE Indexed. https://doi.org/10.3233/AIC-220219
  • Agarwal, S., Gupta, S., & Raj, R. (2024). Identification of Potential Targetable Genes in Papillary, Follicular, and Anaplastic Thyroid Carcinoma Using Bioinformatics Analysis. Endocrine Journal (Accepted for publication), 1-14. H-index 83. IF 3.7. Scopus, SCIE Indexed.
  • Gupta, S., Tomar, S., & Gupta, A. (2023). Learner-generated YouTube presentations for formative assessment. STEM Education, 3(4), 306-330. https://www.doi.org/10.3934/steme.2023019
  • Gupta, A., Gupta, S., Bisht, M., Hooda, P., & Salik, M. (2023). Document Co-citation Analysis using Concept Lattice. Engineering, Technology & Applied Science Research, 13(5), 11837-11842. IF 1.5. https://doi.org/10.48084/etasr.6201
  • Gupta, S., & Gupta, P. (2023). Parameter Tuning of Coronavirus Herd Immunity Optimizer for Detection of Communities in Social Networks. Advances in Artificial Intelligence and Machine Learning. 3 (4). 1728-1742. https://dx.doi.org/10.54364/AAIML.2023.1199
  • Gupta, S., Kumar, N., & Bhalla, S. (2023). Citation metrics and evaluation of journals and conferences. Journal of Information Science, 01655515231151411. IF 2.4. Scopus, SCIE Indexed. https://doi.org/10.1177/01655515231151411
  • Gupta, P., & Gupta, S. (2022). Deep Learning in Medical Image Classification and Object Detection: A Survey. International Journal of Image Processing and Pattern Recognition, 8(2), 1-15. https://doi.org/10.37628/ijippr.v8i2.846
  • Gandhi, N., Bedi, M., Bhardwaj, P., Kaura, H., Baliyan, K., & Gupta, S. (2022). A Comprehensive Survey on Covid-19 Prediction Models. Vivekananda Journal of Research, 12(2), 142-167.
  • Deshmukh, S., Agarwal, M., Gupta, S., & Kumar, N. (2020). MOEA for discovering Pareto-optimal process models: an experimental comparison. International Journal of Computational Science and Engineering, 21(3), 446-456. IF 2.0. https://doi.org/10.1504/IJCSE.2020.106067
  • Gupta, S., Mittal, S., Gupta, T., Singhal, I., Khatri, B., Gupta, A. K., & Kumar, N. (2017). Parallel quantum-inspired evolutionary algorithms for community detection in social networks. Applied Soft Computing, 61, 331-353. IF 8.7. SCIE Indexed. https://doi.org/10.1016/j.asoc.2017.07.035