Research themes
Swarm IntelligenceGlobal OptimizationEngineering OptimizationMachine LearningNatural Language ProcessingFoundation ModelsAdaptive NetworksConversational AISmart CitiesDrone Swarm Computing
Academic profile · AI researcher · educator
Building intelligent systems at the intersection of optimization, networks, and applied artificial intelligence.
Dr. Prabhat Ranjan Singh is an Assistant Professor in the School of Computer Science at UPES, with research spanning swarm intelligence, optimization, machine learning, natural language processing, and networked systems, and his public scholar profile identifies current interests in artificial intelligence, optimization theory, foundation models, and NLP.[page:2][page:1]
His institutional profile highlights a globally recognized record in swarm intelligence and computational modeling, with work aimed at technically advanced systems that also create social and economic impact through practical applications.[page:2]
Curriculum Vitae
The site includes a dedicated CV download action so visitors can immediately access your academic background, work history, publications, and research directions from the attached CV source.[file:35]
Research overview
His CV and faculty profile consistently position his work around swarm intelligence, optimization, machine learning, NLP, adaptive network technologies, and research programs aimed at smart mobility, IoT-enabled systems, and conversational AI.[file:35][page:2]
597Google Scholar citations
9h-index
9i10-index
8Listed co-authors on profile
Academic path
Assistant Professor (Senior Scale)
UPES · Nov 2023 – Present
Assistant Professor
Amity University Patna · Jan 2023 – Nov 2023
Research Associate
Banaras Hindu University · Jan 2020 – Jan 2023
Ph.D. in Computer Science
Wuhan University of Technology · 2019
Featured research
The strongest research-facing homepage upgrade is a curated paper section that surfaces the most cited and representative work instead of showing only a long publication list.[page:1][file:35]
Adaptive energy-aware algorithms for minimizing energy consumption and SLA violation in cloud computing
This is the most cited paper on the profile, with 219 citations, showing strong impact in cloud computing and energy-aware optimization.[page:1]
6G Networks for Artificial Intelligence-Enabled Smart Cities Applications: A Scoping Review
This 2023 review connects AI, smart-city infrastructure, and next-generation networks, and is among the most cited recent papers on the profile with 89 citations.[page:1][file:35]
Modified Spider Monkey Optimization based on Nelder–Mead method for global optimization
This paper is a key marker of his swarm-intelligence and optimization research trajectory, with 60 citations on Google Scholar.[page:1][file:35]
Selected publications
The publication list spans optimization, cloud systems, smart cities, energy systems, healthcare AI, and computational creativity, demonstrating a mix of core algorithmic and interdisciplinary application-oriented research.[page:1][file:35]
2018 · 219 citations
Adaptive energy-aware algorithms for minimizing energy consumption and SLA violation in cloud computing.
IEEE Access.[page:1]
2023 · 89 citations
6G Networks for Artificial Intelligence-Enabled Smart Cities Applications: A Scoping Review.
Telematics and Informatics Reports.[page:1][file:35]
2018 · 60 citations
Modified Spider Monkey Optimization based on Nelder–Mead method for global optimization.
Expert Systems with Applications.[page:1][file:35]
2019 · 55 citations
Ludo game-based metaheuristics for global and engineering optimization.
Applied Soft Computing.[page:1][file:35]
2023 · 48 citations
Exploring the potential of artificial intelligence and computing technologies in art museums.
ITM Web of Conferences.[page:1][file:35]
2023 · 38 citations
Modelling dynamic links among energy transition, technological level and economic development from the perspective of economic globalisation.
Energy Reports.[page:1][file:35]
2025
Artificial Bee Colony Algorithm with Multi-objective in Collaboration Edge Computing.
International Journal of Cooperative Information Systems.[page:1]
Teaching
His UPES faculty profile emphasizes an active-learning teaching philosophy built around pre-reading, quiz-based preparation, real data, and authentic problem solving to help students move from novice to expert thinking.[page:2]
Machine Learning
Advanced teaching in core AI and model-building concepts.[page:2]
Deep Learning
Coverage of modern neural network methods and their applications.[page:2]
Web Technology
Industry-relevant web systems and applied software practices.[page:2]
Open Source Systems for Industries
Practical, deployment-aware learning tied to real-world systems work.[page:2]
Java
Software-development foundations aligned with programming practice.[page:2]
IT Business Continuity & Disaster Recovery
Operational resilience and applied enterprise computing topics.[page:2]
Contact & profiles
The final homepage preserves direct access to institutional and scholarly profiles, including Google Scholar, LinkedIn, ResearchGate, and the UPES faculty page, while the CV provides personal contact details and educational history.[file:35][page:2][page:1]
Phone+91 9060642934
UPES profileUniversity profile
Google ScholarCitation profile
ResearchGateResearchGate profile