World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
78
Citations
25986
World Ranking
1202
National Ranking
638

Overview

Samee U. Khan is affiliated with Mississippi State University in the United States. Their research spans multiple fields, primarily focusing on Computer Science and Engineering. Within these broad disciplines, their work extensively covers subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, and Signal Processing.

The scientist's recent publications highlight a focus on energy management, forecasting models, and video analysis. Notable papers include:

  • Towards intelligent building energy management: AI-based framework for power consumption and generation forecasting (2022, Energy and Buildings)
  • DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems (2021, International Journal of Electrical Power & Energy Systems)
  • Deep multi-scale pyramidal features network for supervised video summarization (2023, Expert Systems with Applications)
  • Fog Based Architecture and Load Balancing Methodology for Health Monitoring Systems (2021, IEEE Access)
  • Improve Accuracy of Speech Emotion Recognition with Attention Head Fusion (2020, 2020 10th Annual Computing and Communication Workshop and Conference (CCWC))

Samee U. Khan frequently collaborates with several coauthors, including:

  • Sung Wook Baik
  • Noman Khan
  • Mi Young Lee
  • Ijaz Ul Haq
  • Altaf Hussain

The scientist has published regularly in a range of venues, with the most frequent being:

  • arXiv (Cornell University)
  • IEEE Access
  • Engineering Applications of Artificial Intelligence
  • Mathematics
  • IEEE Internet of Things Journal

Research topics addressed in their work reflect a focus on the intersection of intelligent systems and energy management, as well as video and activity analysis. Key topics include:

  • Energy Load and Power Forecasting
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Solar Radiation and Photovoltaics
  • Smart Grid Energy Management
  • IoT and Edge/Fog Computing
  • Context-Aware Activity Recognition Systems

Samee U. Khan's body of work contributes to the development of AI-based frameworks for power consumption forecasting, novel convolutional neural network architectures for energy system predictions, and methodologies for video summarization and health system monitoring. Their research bridges computational intelligence and practical applications in energy and surveillance domains.

Best Publications

  • The rise of big data on cloud computing

    Ibrahim Abaker Targio Hashem;Ibrar Yaqoob;Nor Badrul Anuar;Salimah Mokhtar

  • GreenCloud: a packet-level simulator of energy-aware cloud computing data centers

    Dzmitry Kliazovich;Pascal Bouvry;Samee Ullah Khan

  • Security in cloud computing

    Mazhar Ali;Samee U. Khan;Athanasios V. Vasilakos

  • A Survey of Mobile Cloud Computing Application Models

    Atta Ur Rehman Khan;Mazliza Othman;Sajjad Ahmad Madani;Samee Ullah Khan

  • Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation

    Unknown

  • A literature review on the state-of-the-art in patent analysis

    Assad Abbas;Limin Zhang;Samee U. Khan

  • Towards secure mobile cloud computing: A survey

    Abdul Nasir Khan;M. L. Mat Kiah;Samee U. Khan;Sajjad A. Madani

  • GreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers

    Dzmitry Kliazovich;Pascal Bouvry;Yury Audzevich;Samee Ullah Khan

  • A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

    Abdul Hameed;Alireza Khoshkbarforoushha;Rajiv Ranjan;Prem Prakash Jayaraman

  • A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds

    Assad Abbas;Samee Ullah Khan

  • A Survey of Mobile Device Virtualization: Taxonomy and State of the Art

    Junaid Shuja;Abdullah Gani;Kashif Bilal;Atta Ur Rehman Khan

  • Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

    Kashif Bilal;Kashif Bilal;Osman Khalid;Aiman Erbad;Samee U. Khan

  • DENS: Data Center Energy-Efficient Network-Aware Scheduling

    Dzmitry Kliazovich;Pascal Bouvry;Samee Ullah Khan

  • IFCIoT: Integrated Fog Cloud IoT: A novel architectural paradigm for the future Internet of Things.

    Arslan Munir;Prasanna Kansakar;Samee U. Khan

  • An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment

    Zhuo Tang;Ling Qi;Zhenzhen Cheng;Kenli Li

  • An overview of energy efficiency techniques in cluster computing systems

    Giorgio Luigi Valentini;Walter Lassonde;Samee Ullah Khan;Nasro Min-Allah

  • Big Data Privacy in the Internet of Things Era

    Charith Perera;Rajiv Ranjan;Lizhe Wang;Samee U. Khan

  • Review of performance metrics for green data centers: a taxonomy study

    Lizhe Wang;Samee U. Khan

  • A Cooperative Game Theoretical Technique for Joint Optimization of Energy Consumption and Response Time in Computational Grids

    S.U. Khan;I. Ahmad

  • SeDaSC: Secure Data Sharing in Clouds

    Mazhar Ali;Revathi Dhamotharan;Eraj Khan;Samee U. Khan

  • Energy-aware parallel task scheduling in a cluster

    Lizhe Wang;Lizhe Wang;Samee U. Khan;Dan Chen;Joanna KołOdziej

  • A taxonomy and survey on Green Data Center Networks

    Kashif Bilal;Saif Ur Rehman Malik;Osman Khalid;Abdul Hameed

Frequent Co-Authors

Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Joanna Kolodziej
Joanna Kolodziej NASK National Research Institute
Pascal Bouvry
Pascal Bouvry University of Luxembourg
Kashif Bilal
Kashif Bilal COMSATS University Islamabad
Lizhe Wang
Lizhe Wang China University of Geosciences
Sajjad Ahmad Madani
Sajjad Ahmad Madani COMSATS University Islamabad
Cheng-Zhong Xu
Cheng-Zhong Xu University of Macau
Ishfaq Ahmad
Ishfaq Ahmad The University of Texas at Arlington
Dan Chen
Dan Chen Wuhan University
Keqin Li
Keqin Li State University of New York at New Paltz

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