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Research Profile

Core Expertise

PhD in Cloud Computing (2024) with expertise in metaheuristic optimization for energy-efficient resource allocation. Published 11+ research papers with 76 citations and an H-index of 4. Filed 11 patents in AI, IoT, and healthcare technologies. Currently supervising 2 PhD scholars and pursuing advanced research in cloud optimization and privacy-preserving AI for healthcare applications.

Cloud Resource Optimization | Metaheuristic Algorithms | Privacy-Preserving Machine Learning | Healthcare AI

RESEARCH PAPERS

1. A systematic literature review on task allocation and performance management techniques in cloud data center
This paper presents a comprehensive review of existing methodologies for optimizing task distribution and managing performance within cloud infrastructure, identifying key gaps in current research.

2. Task allocation techniques in cloud computing: A survey
A detailed survey exploring various algorithmic approaches to task allocation, focusing on efficiency, scalability, and resource utilization in modern cloud environments.

3. Performance enhancement in cloud data centers using advanced task scheduling
This study proposes novel scheduling frameworks designed to reduce latency and improve throughput in high-demand data center operations.

4. Resource management in cloud computing: A multi-objective optimization approach
An investigation into balancing competing objectives such as cost, speed, and reliability through multi-objective optimization models.

5. Energy-efficient resource allocation in cloud environments: A survey
Exploring the intersection of performance and sustainability, this survey analyzes techniques for reducing power consumption without compromising service quality.

6. Load balancing techniques in cloud computing: A comprehensive review
A critical analysis of static and dynamic load balancing strategies, providing a roadmap for implementing robust traffic management in cloud networks.

7. Cloud computing resource management: Challenges and solutions
Identifying the primary obstacles in managing cloud resources and presenting a collection of state-of-the-art solutions for academic and industrial application.

8. Benchmarking cloud data center performance: A comparative study
A rigorous comparative analysis of different cloud architectures using standardized benchmarking tools to evaluate actual performance metrics.

9. Virtualization technologies in cloud computing: A deep dive
Examining the role of hypervisors and containerization in maximizing hardware utilization and fostering flexible cloud service delivery.

10. Workflow scheduling in cloud environments: Taxonomy and trends
A taxonomic classification of workflow scheduling methods, highlighting emerging trends like AI-driven orchestration and edge computing integration.

11. QoS-aware task scheduling in cloud computing: A review
Focusing on Quality of Service parameters, this review evaluates scheduling algorithms that prioritize user requirements and service-level agreements.

12. Cloud computing security challenges and mitigation strategies
An essential overview of security vulnerabilities in cloud platforms, offering practical mitigation strategies to protect data integrity and user privacy.

13. A comprehensive review of data center energy efficiency techniques
Synthesizing research on green computing, this paper details hardware and software innovations aimed at creating carbon-neutral data centers.

14. Future directions in cloud infrastructure and resource management
A forward-looking perspective on the evolution of cloud technology, discussing the potential impact of quantum computing and decentralized architectures.

Education

Doctor of Philosophy (PhD) in Cloud Computing

Chandigarh University, Punjab, India (2024)

  • Dissertation: Knowledge-Based Optimization Algorithms for Energy-Efficient Resource Allocation in Cloud Data Centers
  • Focus: Metaheuristic algorithms, AI-driven resource management, performance optimization
  • Contribution: Developed KB-FPA algorithm for improved cloud efficiency
Master of Computer Applications (MCA)

Lovely Professional University (2017)

Bachelor of Computer Applications (BCA)

Chitkara University (2015)

Professional Experience

Associate Professor, Chandigarh University

2016 – Present

Academic Counsellor, NIIT Chandigarh
  • Teaching: Cloud Computing, AI, Machine Learning, C/C++, Java, SQL, Research Methodology, SPSS
  • Taught 500+ students and supervised 20+ projects
  • Coordinated academic programs, workshops, and accreditation processes
  • Mentored students for research publications and placements

2015 – 2016

  • Guided 100+ students in academic and career decisions
  • Awarded 'Most Outstanding Employee'

Technical Skills & Research Competencies

Technical Skills

Programming: C, C++, Java, Python, SQL

Tools: MATLAB, CloudSim, SPSS, R, LaTeX

Platforms: Cloud Computing, Edge Computing, TensorFlow, Scikit-learn

Research Expertise

Metaheuristic Algorithms, Optimization, AI Systems, Energy-Efficient Computing, Healthcare AI, IoT Systems, Federated Learning

Patents (11 Filed)

• AI Assistive Stick for Visually Impaired

• Smart Fog Light System

• Wireless Smart Helmet Display

• Smart Motor with Water Flow Monitoring

• Gas Leak Detection System

• Heated Smart Wearables

• Biodegradable Smart Umbrella

• Smart Irrigation System

• Recycling Machine (RE-BAG)

• Smart Waste Management System

• Intelligent Motorbike Helmet Design

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