World's Best Scientists 2026 revealed!
Inderveer Chana

Inderveer Chana

D-Index & Metrics

Computer Science

D-Index
38
Citations
5316
World Ranking
10346
National Ranking
111

Overview

Inderveer Chana is affiliated with Thapar University in India, contributing extensively to research in computer science and related interdisciplinary fields. Their work spans areas such as bioinformatics, molecular biology, artificial intelligence, and information systems. The subfields of their research include molecular biology, artificial intelligence, computer vision and pattern recognition, and computer networks and communications.

Their research topics cover a range of specialized themes, notably bioinformatics and genomic networks, IoT and edge/fog computing, blockchain technology applications and security, natural language processing techniques, topic modeling, handwritten text recognition techniques, and gene expression and cancer classification.

Recent publication venues frequently featuring their work include Archives of Computational Methods in Engineering, Concurrency and Computation Practice and Experience, Journal of Mechanics in Medicine and Biology, ACM Computing Surveys, and Procedia Computer Science.

Co-authors frequently collaborating with Inderveer Chana include Muskaan Singh, Ravinder Kumar, Rashmeet Toor, Maggi Bansal, and Siobhán Clarke.

Representative recent papers authored or co-authored by Inderveer Chana include:

  • A Survey on IoT Big Data, 2020, ACM Computing Surveys
  • Computational Techniques and Tools for Omics Data Analysis: State-of-the-Art, Challenges, and Future Directions, 2021, Archives of Computational Methods in Engineering
  • Corpus based Machine Translation System with Deep Neural Network for Sanskrit to Hindi Translation, 2020, Procedia Computer Science
  • BSense: A parallel Bayesian hyperparameter optimized Stacked ensemble model for breast cancer survival prediction, 2022, Journal of Computational Science
  • Machine Translation Systems for Indian Languages: Review of Modelling Techniques, Challenges, Open Issues and Future Research Directions, 2020, Archives of Computational Methods in Engineering

Inderveer Chana's body of work reflects a cross-disciplinary approach integrating computing methods with biological and linguistic data, addressing challenges in areas ranging from healthcare analytics to language translation systems. Their focus on computational techniques has implications for analyzing large-scale data such as IoT streams and omics datasets.

Best Publications

  • A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges

    Sukhpal Singh;Inderveer Chana

  • Cloud Load Balancing Techniques : A Step Towards Green Computing

    Nidhi Jain Kansal;Inderveer Chana

  • QoS-Aware Autonomic Resource Management in Cloud Computing: A Systematic Review

    Sukhpal Singh;Inderveer Chana

  • Fault Tolerance- Challenges, Techniques and Implementation in Cloud Computing

    Anju Bala;Inderveer Chana

  • Energy Efficiency Techniques in Cloud Computing: A Survey and Taxonomy

    Tarandeep Kaur;Inderveer Chana

  • Cloud based intelligent system for delivering health care as a service

    Pankaj Deep Kaur;Inderveer Chana

  • QRSF: QoS-aware resource scheduling framework in cloud computing

    Sukhpal Singh;Inderveer Chana

  • Energy-aware Virtual Machine Migration for Cloud Computing - A Firefly Optimization Approach

    Nidhi Jain Kansal;Inderveer Chana

  • Cloud resource provisioning: survey, status and future research directions

    Sukhpal Singh;Inderveer Chana

  • IoT Based Agriculture as a Cloud and Big Data Service: The Beginning of Digital India

    Sukhpal Singh Gill;Inderveer Chana;Rajkumar Buyya

  • STAR: SLA-aware Autonomic Management of Cloud Resources

    Sukhpal Singh;Inderveer Chana;Rajkumar Buyya

  • A resource elasticity framework for QoS-aware execution of cloud applications

    Pankaj Deep Kaur;Inderveer Chana

  • Q-aware

    Sukhpal Singh;Inderveer Chana

  • CHOPPER: an intelligent QoS-aware autonomic resource management approach for cloud computing

    Sukhpal Singh Gill;Inderveer Chana;Maninder Singh;Rajkumar Buyya

  • A Survey of Various Workflow Scheduling Algorithms in Cloud Environment

    Anju Bala;Inderveer Chana

  • Data deduplication techniques for efficient cloud storage management: a systematic review

    Ravneet Kaur;Inderveer Chana;Jhilik Bhattacharya

  • A Survey on IoT Big Data: Current Status, 13 V’s Challenges, and Future Directions

    Maggi Bansal;Inderveer Chana;Siobhán Clarke

  • Bacterial foraging based hyper-heuristic for resource scheduling in grid computing

    Rajni;Inderveer Chana

  • Load Balancing and Job Migration Techniques in Grid: A Survey of Recent Trends

    Neeraj Rathore;Inderveer Chana

  • Resource provisioning and scheduling in clouds: QoS perspective

    Sukhpal Singh;Inderveer Chana

  • Computational Techniques and Tools for Omics Data Analysis: State-of-the-Art, Challenges, and Future Directions

    Parampreet Kaur;Ashima Singh;Inderveer Chana

  • Intelligent failure prediction models for scientific workflows

    Anju Bala;Inderveer Chana

Frequent Co-Authors

Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Sukhpal Singh Gill
Sukhpal Singh Gill Queen Mary University of London
Ajith Abraham
Ajith Abraham Sai University
Siobhán Clarke
Siobhán Clarke Trinity College Dublin

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online options can offer greater flexibility and accessibility for students interested in Computer Science and related fields. Online associate degree programs are a practical starting point for those seeking foundational knowledge or wishing to transition into a bachelor’s program later.

Cost is a significant concern for many students. Fortunately, there are affordable online colleges that make it easier to pursue a high-quality education without a heavy financial burden. Many of these programs offer flexible schedules suitable for working professionals or those with family commitments.

For students concerned about academic eligibility, a number of online graduate programs that accept 2.0 gpa provide opportunities to continue your education even with a lower undergraduate GPA. These programs can open doors to advanced knowledge and higher earning potential.

Finally, it's important to consider the career trajectories available with different degrees. For example, understanding what can you do with an environmental science degree helps highlight the diverse career paths accessible through online learning—from technology roles to environmental policy.

Best Scientists Citing Inderveer Chana

Trending Scientists

Recently Published Articles