Rinkaj Goyal

About

I am working as a Professor at the University School of Information & Communication Technology, GGS Indraprastha University, New Delhi. My teaching and research interests include Multi-Agent Systems and Theoretical Computer Science. I am conducting research in the area of Agent-based modeling.

Employment

• Guru Gobind Singh Indraprastha University Professor
  2005 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (30)

• Investigating how cohesive the ECA rules are within Wolfram’s classification: a preliminary study
  Natural Computing 2026 DOI: 10.1007/s11047-026-10075-8
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• Exploring Opinion Dynamics Through Social Influence, Online Communication, and Leadership: A Fuzzy Cellular Automaton Approach
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-3-031-94121-4_10
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• How Similar are Programming Solutions Generated by LLM-Based Generative AI Tools: A Semantic Clone Detection Approach
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-96-1918-4_21
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• A Generative AI-Driven Method-Level Semantic Clone Detection Based on the Structural and Semantical Comparison of Methods
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3401770
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• A Study on the Metrics-Based Duplicated Code Type Smell Detection Techniques Relating the Metrics to Its Quality
  2023 DOI: 10.1007/978-981-19-4960-9_41
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• Genealogy Interceded Phenotypic Analysis (GIPA) of ECA Rules
  2023 DOI: 10.1007/978-981-99-0688-8_14
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• Performance based Risk driven Trust (PRTrust): On modeling of secured service sharing in peer-to-peer federated cloud
  Computer Communications 2022 DOI: 10.1016/j.comcom.2021.11.013
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• Supervised-learning link prediction in single layer and multiplex networks
  Machine Learning with Applications 2021 DOI: 10.1016/j.mlwa.2021.100086
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• Developing bug severity prediction models using word2vec
  International Journal of Cognitive Computing in Engineering 2021 DOI: 10.1016/j.ijcce.2021.08.001
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• Identifying High-Level Concept Clones in Software Programs Using Method’s Descriptive Documentation
  Symmetry 2021 DOI: 10.3390/sym13030447
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