SUYASH SHUKLA
VIDWAN ID: 612562

Dr SUYASH SHUKLA

Male
Assistant Professor | Department of Computer Science and Information Systems
Birla Institute of Technology & Sciences, Pilani
Dubai
Expertise: Computer Science Information Systems
19 Publications
0 Projects
258 Scopus Citations
211 CrossRef
1 Year 7 Months Total Experience
Publications
19 Total
Articles
10
Proceedings
9
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Scopus Scopus
258 Citations
6 h-index
CrossRef CrossRef
211 Citations
6 h-index
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Assistant Professor
Feb 2025 – Present
Birla Institute of Technology & Sciences, Pilani | Department of Computer Science and Information Systems
Engineering and Technology
Computer Science Information Systems

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Scholarly Publications

Applicability of Neural Network based Models for Software Effort Estimation

Journal Article
Year: 2019. Pages: 339-342 .
Authors: Shukla, Suyash; Kumar, Sandeep

Problem of secondary structure prediction minimize by using the Baum Walch algorithm

Conference Paper
Year: 2015. Pages: 300-304 .
Authors: Shivani Agarwal; Suyash Shukla; Atul Kumar; N. U. Khan

A Method to Optimally Discover the Controller Locations in Software-Defined Networks

Conference Paper
Year: 2026. Volume: 2738 CCIS , Pages: 234-243 .
Authors: Mili Dhar; Pooja; Vartika Mishra; Suyash Shukla

A Stacking Ensemble-based Approach for Software Effort Estimation

Conference Paper
Year: 2021. Volume: 2021-April , Pages: 205-212 .

An Extreme Learning Machine based Approach for Software Effort Estimation

Conference Paper
Year: 2021. Volume: 2021-April , Pages: 47-57 .

Towards non-linear regression-based prediction of use case point (UCP) metric

Journal Article
Applied Intelligence. Year: 2023. Volume: 53 , Issue: 9 , Pages: 10326-10339 .
Authors: Suyash Shukla; Sandeep Kumar

PredictPP: A Rank-Based Weighted Ensemble Model for Prediction of Software Project Productivity

Journal Article
Journal of Software: Evolution and Process. Year: 2025. Volume: 37 , Issue: 10 .
Authors: Suyash Shukla; Sandeep Kumar

Towards Interpretable Ensemble Learning for Software Effort Estimation

Open Access
Conference Paper
Year: 2026. Volume: 1 , Pages: 246-257 .
Authors: Karishma Doshi; Suyash Shukla; Sandeep Kumar
Showing 1 to 8 of 19 publications