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Khursheed Aurangzeb
PeerJ Author
1,000 Points

Contributions by role

Editor 1,000

Contributions by subject area

Algorithms and Analysis of Algorithms
Computer Vision
Scientific Computing and Simulation
Software Engineering
Bioinformatics
Artificial Intelligence
Neural Networks
Visual Analytics
Data Mining and Machine Learning
Data Science

Khursheed Aurangzeb

PeerJ Author

Summary

Dr. Khursheed Aurangzeb is Associate Professor in Department of Computer Engineering at College of Computer and Information Sciences at King Saud University (KSU), Riyadh, Saudi Arabia. He received his Ph.D. degree in Electronics Design from Mid Sweden University Sweden in June 2013, MS degree in Electrical Engineering (System on Chip Design) from Linkoping University, Sweden in 2009. He received his B.S. degree in Computer Engineering from COMSATS Institute of Information Technology Abbottabad, Pakistan in 2006. He has authored and co-authored more than 70 publications including IEEE / ACM / Springer / Hindawi / MDPI journals, and flagship conference papers. He has obtained more than fifteen years of excellent experience as instructor and researcher in data analytics, machine/deep learning, signal processing, electronics circuits/systems and embedded systems. He has been involved in many research projects as a principal investigator and a co-principal investigator. His research interest are in the diverse fields of embedded systems, computer architecture, VLSI, signal processing, wireless sensor networks, camera based sensor networks, AI/ML/DL and smart grids with an emphasis on big data, precision agriculture, machine/deep learning, embedded and pervasive computing, mobile cloud computing and healthcare.

Algorithms & Analysis of Algorithms Artificial Intelligence Autonomous Systems Computer Aided Design Computer Architecture Computer Vision Data Mining & Machine Learning Data Science Distributed & Parallel Computing Energy Materials

Past or current institution affiliations

King Saud University

Work details

Associate Professor

King Saud University
August 2016
Computer Engineering
Currently, I am Associate Professor in Department of Computer Engineering at College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 10
  • Edited 8
February 19, 2025
The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection
Yupei Huang, Muhammad Gulistan, Amir Rafique, Wathek Chammam, Khursheed Aurangzeb, Ateeq Ur Rehman
https://doi.org/10.7717/peerj-cs.2555
November 29, 2024
Enhancing ransomware defense: deep learning-based detection and family-wise classification of evolving threats
Amjad Hussain, Ayesha Saadia, Musaed Alhussein, Ammara Gul, Khursheed Aurangzeb
https://doi.org/10.7717/peerj-cs.2546
November 25, 2024
A novel deep learning model for predicting marine pollution for sustainable ocean management
Michael Onyema Edeh, Surjeet Dalal, Musaed Alhussein, Khursheed Aurangzeb, Bijeta Seth, Kuldeep Kumar
https://doi.org/10.7717/peerj-cs.2482
August 30, 2024
Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages
Imran Ullah, Khalil Ullah, Hamad Khan, Khursheed Aurangzeb, Muhammad Shahid Anwar, Ikram Syed
https://doi.org/10.7717/peerj-cs.2163
July 26, 2024
Pashto script and graphics detection in camera captured Pashto document images using deep learning model
Khan Bahadar, Riaz Ahmad, Khursheed Aurangzeb, Siraj Muhammad, Khalil Ullah, Ibrar Hussain, Ikram Syed, Muhammad Shahid Anwar
https://doi.org/10.7717/peerj-cs.2089
July 12, 2024
Range aware message drop policy for delay tolerant networks
Samiullah Khan, Khalid Saeed, Muhammad Faran Majeed, Khursheed Aurangzeb, Zahoor Ahmad, Muhammad Shahid Anwar, Piratdin Allayarov
https://doi.org/10.7717/peerj-cs.2099
April 26, 2024
Security risk models against attacks in smart grid using big data and artificial intelligence
Yazeed Yasin Ghadi, Tehseen Mazhar, Khursheed Aurangzeb, Inayatul Haq, Tariq Shahzad, Asif Ali Laghari, Muhammad Shahid Anwar
https://doi.org/10.7717/peerj-cs.1840
March 29, 2024
Emotion detection from handwriting and drawing samples using an attention-based transformer model
Zohaib Ahmad Khan, Yuanqing Xia, Khursheed Aurangzeb, Fiza Khaliq, Mahmood Alam, Javed Ali Khan, Muhammad Shahid Anwar
https://doi.org/10.7717/peerj-cs.1887
October 9, 2023
Internet of Things-based sustainable environment management for large indoor facilities
Muhammad Hanif Lashari, Sarang Karim, Musaed Alhussein, Ayaz Ahmed Hoshu, Khursheed Aurangzeb, Muhammad Shahid Anwar
https://doi.org/10.7717/peerj-cs.1623
September 15, 2023
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution
Irshad Ullah, Syed Muhammad Hasanat, Khursheed Aurangzeb, Musaed Alhussein, Muhammad Rizwan, Muhammad Shahid Anwar
https://doi.org/10.7717/peerj-cs.1487

Academic Editor on

January 21, 2025
Hybrid deep learning approach for brain tumor classification using EfficientNetB0 and novel quantum genetic algorithm
Kerem Gencer, Gülcan Gencer
https://doi.org/10.7717/peerj-cs.2556
September 6, 2024
Trade-off between training and testing ratio in machine learning for medical image processing
Muthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya
https://doi.org/10.7717/peerj-cs.2245
September 4, 2024
Classification of imbalanced ECGs through segmentation models and augmented by conditional diffusion model
Jinhee Kwak, Jaehee Jung
https://doi.org/10.7717/peerj-cs.2299
February 21, 2024
Categorization of Alzheimer’s disease stages using deep learning approaches with McNemar’s test
Begüm Şener, Koray Acici, Emre Sümer
https://doi.org/10.7717/peerj-cs.1877
December 12, 2023
Eye Disease Net: an algorithmic model for rapid diagnosis of diseases
Fangyuan Liu, Bo Qin, Fengqi Jiang
https://doi.org/10.7717/peerj-cs.1672
December 12, 2023
Feature selection based on neighborhood rough sets and Gini index
Yuchao Zhang, Bin Nie, Jianqiang Du, Jiandong Chen, Yuwen Du, Haike Jin, Xuepeng Zheng, Xingxin Chen, Zhen Miao
https://doi.org/10.7717/peerj-cs.1711
October 25, 2023
A remaining useful life estimation method based on long short-term memory and federated learning for electric vehicles in smart cities
Xuejiao Chen, Zhaonan Chen, Mu Zhang, Zixuan Wang, Minyao Liu, Mengyi Fu, Pan Wang
https://doi.org/10.7717/peerj-cs.1652
July 25, 2022
A modular software framework for the design and implementation of ptychography algorithms
Francesco Guzzi, George Kourousias, Fulvio Billè, Roberto Pugliese, Alessandra Gianoncelli, Sergio Carrato
https://doi.org/10.7717/peerj-cs.1036