COSTAR: Software Code Smell Detection through Tree-based Abstract Representation
P. S. Thakur, M. Jadeja, S. S. Chouhan and S. S. Rathore
IEEE Transactions on Reliability (IEEE), 2026.
Research & about
Computer science
with people in mind.
I am Dr. Mahipal Jadeja, an educator and researcher at MNIT Jaipur. My work connects rigorous computational ideas with practical, accessible learning.
The connecting thread
Understanding first.
Possibilities follow.
My research foundations lie in theoretical computer science, graph theory, and graph neural networks. Working with networks means asking how individual pieces connect—and what those connections help us understand.
That perspective now also shapes my contributions to Generative AI education. I build learning tools, share open resources, and work with educators and professionals to turn new capabilities into thoughtful practice.
I serve as an Assistant Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology Jaipur. Alongside research and supervision, I am interested in how multilingual explanations, useful examples, and interactive experiences can make learning more accessible.
Research interests
Foundations that open
new directions.
Academic journey
PhD in Computer Science and EngineeringDhirubhai Ambani Institute of Information and Communication Technology · 2018
BE in Computer EngineeringCSPIT, Changa (Gujarat Technological University) · 2012
Experience
Assistant Professor, Computer Science and EngineeringMalaviya National Institute of Technology Jaipur
2019–present
2019–present
Assistant Professor, Information and Communication TechnologyAdani Institute of Infrastructure Engineering
2017–2019
2017–2019
Assistant Professor, Computer EngineeringK J Campus, Savli
2012–2012
2012–2012
Selected publications
Ideas, investigated.
Read paper
CC GCN: A novel Graph based approach for Identification and Detection of Autism Spectrum Disorder
S. Rohilla, M. Jadeja, E. Pilli, P. Vyas and P. Gehlot
Multimedia Tools and Applications (Springer), 2024.
Enhancing Software Code Smell Detection with Modified Cost Sensitive SVM
P. Thakur, S. Chouhan and M. Jadeja
International Journal of System Assurance Engineering and Management (Springer), 2024.
CLUS BET: Improving Influence Propagation and Classification in Networks using a Novel Seed Selection Technique
R. Saxena, P. Paira and M. Jadeja
Social Network Analysis and Mining (Springer), 2024.
RW HeCo: A Random Walk and Network Centrality based Graph Neural Network for Community Detection in Heterogeneous Networks
A. Verma, M. Jadeja and S. Jayaswal
Multimedia Tools and Applications (Springer), 2024.
A novel dominating set and centrality based graph convolutional network for node classification
N. Garg, S. Garg, M. Jadeja, Y. Meena, D. Gopalani and G. Chauhan
Multimedia Tools and Applications (Springer), 2024.
A New Characterisation of Total Graphs
M. Jadeja, R. Muthu and R. Goyal
Palestine Journal of Mathematics (PJM), 2024.
CBReT: A Cluster Based Resampling Technique for Dealing with Imbalanced Data in Code Smell Prediction
P. Thakur, S. Chouhan and M. Jadeja
Knowledge Based Systems (Elsevier), Volume 286, 2024.
An Efficient Bet GCN Approach for Link Prediction
R. Saxena, S. Patil, A. Verma, M. Jadeja, P. Vyas, V. Bhateja, and J. Chun Wei Lin
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), Volume 8(1), 38 to 52, 2023.
Bet GAT: An Efficient Centrality based Graph Attention Model for Semi Supervised Node Classification
A. Verma, R. Saxena, M. Jadeja, V. Bhateja and J. Chun Wei Lin
Applied Sciences (MDPI), Volume 13, 2023.DOI
CB SAGE: A novel centrality based graph neural network for floor plan classification
A. Verma and M. Jadeja
Engineering Applications of Artificial Intelligence (Elsevier), Volume 126, 2023.
Propagation analysis of COVID 19: An SIR model based investigation of the pandemic
R. Saxena, M. Jadeja and V. Bhateja
Arabian Journal for Science and Engineering, Volume 48, 2023.
Set Labelling Vertices To Ensure Adjacency Coincides With Disjointness
M. Jadeja, R. Muthu and V. Sunitha
Electronic Notes in Discrete Mathematics, Volume 63, 237 to 244, December 2017.
Uniform Set Labelling Vertices To Ensure Adjacency Coincides With Disjointness
M. Jadeja and R. Muthu
Journal of Mathematical and Computational Science, Volume 7(3), 537 to 553, May 2017.
Labeled Object Treemap: A New Graph Labeling Based Technique for Visualizing Multiple Hierarchies
M. Jadeja and R. Muthu
Annals of Pure and Applied Mathematics, Volume 13(1), 49 to 62, January 2017. Also appeared in Proceedings of The 19th Japan Korea Joint Workshop on Algorithms and Computation (WAAC 2016).
Bibliographic details follow the official CV. DOI links lead to the original publication records.
Research supervision
Learning through
investigation.
Research supervision across graph learning, social networks, software engineering, and deep learning.
Navigating Real World Networks: Centrality Infused Graph Neural Network ParadigmsAtul Kumar Verma · PhD awarded 2023
Novel Techniques to Enhance Influence in Social NetworksRahul Saxena · PhD awarded 2023
Software Code Smell Detection in an Imbalanced EnvironmentPraveen Singh Thakur · PhD awarded 2024
Detecting Autism Spectrum Disorder using Deep LearningShivani Rohilla · PhD awarded 2026
Natural Language Processing using Graph Neural NetworksNeeraj Garg · Ongoing PhD research, as listed in the CV
Academic service
Contributing to
the wider classroom.
Curriculum conversations, educational initiatives, and academic service complement research and teaching.
Board of Studies member, BTech Information TechnologyCSPIT, CHARUSAT University · Since 2022
Board of Studies member, BTech AI/MLCSPIT, CHARUSAT University · Since 2023
Board of Studies member, Artificial IntelligenceVishvakarma Skills University · Since 2024
Good questions start good collaborations.
Have an idea for an AI workshop, a research conversation, or a learning initiative? I would love to hear about it.