Computational Biology, Soft Computing

Journals :

1. Sharma, S., & Vijayvargiya, S. (2022). An Optimized Neuro-fuzzy Network for Software Project Effort Estimation. IETE Journal of Research (Taylor & Francis), doi.org/10.1080/03772063.2022.2027282 (SCIE & Scopus Indexed)
2. Sharma, S., & Vijayvargiya, S. (2021). Soft Computing Approaches for Software Project Effort Estimation (SPEE) - A Review.?International Journal of Grid and Distributed Computing,?13(2), 1788 -1799. 
3. Sharma, S., & Vijayvargiya, S. (2020). Enhancing Software Project Effort Estimation (SPEE) Using Neuro-Fuzzy System.?Solid State Technology,?vol.63 (6), 2986-2998. 
4. Shripal Vijayvargiya, Pratyoosh Shukla, Proportional Performance Exploration of Evolutionary Approaches for Motif Discovery in DNA Sequences, International Journal of Computational Science,Engineering & Technology 1(1) : 8 - 12      (2013)
5. Shripal Vijayvargiya, Pratyoosh Shukla,      A niched Pareto genetic algorithm for finding variable length regulatory motifs in DNA sequences, 3Biotech. (Springer) 2(2) : 141 – 148 (2012)  (SCI Indexed)
6. Shripal Vijayvargiya, Pratyoosh Shukla, A Genetic Algorithm with Clustering for Finding Regulatory Motifs in DNA Sequences, International journal of computer applications special issue on Artificial Intelligence Techniques - Novel Approaches & Practical Applications,  6-10 (2011)
7. Shripal Vijayvargiya, Pratyoosh Shukla, Identification of Transcription Factor Binding Sites in Biological Sequences Using Genetic Algorithm, International Journal of Research and Reviews in Computer Science, 2 (2), : 561 – 565  (2011)
8. Shripal Vijayvargiya, Pratyoosh Shukla, A Structured Evolutionary Algorithm for Identification of Transcription Factor Binding Sites in Unaligned DNA Sequences, International Journal of Advancements in Technology, 2 (2) : 100 – 107 (2011)

Book Chapters :

1. Sharma, S., & Vijayvargiya, S. (2021). Applying Soft Computing Techniques for Software Project Effort Estimation Modelling. In?Nano-electronics, Circuits and Communication Systems, vol 692, pp. 211-227, Springer, Singapore.  (Scopus Indexed, UGC Care List Group II) 

2. Vijayvargiya S.and Shukla P., Regulatory Motif  Identification  in Biological Sequences: An Overview of Computational Methodologies Shukla P., Pletschke B.I. (eds.), Advances in Enzyme Biotechnology, Springer ISBN: 978-81-322-1093-1 (2013)

3. Vijayvargiya S.and Shukla P.,  Microbial Gene Finding Through Identifying Transcription Factor Binding Sites (TFBS),  Gupta V.K.,  Tuohy M.G., Sharma G.D. and Gaur S.(eds),Applications of Microbial Genes in Enzyme Technology, Nova Science Publishers ISBN: 978-1-62417-821-4 ( 2013)

Conferences :

1. Vijayvargiya S.and Shukla P., A Multi-Objective Genetic Algorithm for Identification of Regulatory Motifs in Biological Sequences, proceedings of 13^th International Conference of The International Academy of Physical Sciences CONIAPS – XIII, University of Petroleum and Energy Studies, Dehradun, June 14-16, 2011.
2. Vijayvargiya S.and Shukla P., An Evolutionary Algorithm for Finding Variable Length Motifs in DNA Sequences, proceedings of 51^st Annual Conference of Association of Microbiologists of India AMI-2010, Birla Institute of Technology, Mesra (Ranchi), December 14-17, 2010
3. Vijayvargiya S.and Shukla P., A Structured Genetic Algorithm for Finding Regulatory Motifs in Biological Sequences, proceedings of International conference on computer engineering and technology ICCET-10, Jodhpur Institute of Engineering and Technology, Jodhpur, November 13-14, 2010

Institute Nominated Member of Computer Society of India (CSI)