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Khalid Raza
Bronze Contributor
5,415 Points

Contributions by role

Author 200
Reviewer 75
Editor 5,140

Contributions by subject area

Bioinformatics
Computational Biology
Data Mining and Machine Learning
Artificial Intelligence
Neural Networks
Data Science
Algorithms and Analysis of Algorithms
Computer Vision
Optimization Theory and Computation
Spatial and Geographic Information Systems
Security and Privacy
Software Engineering
Cryptography
Multimedia
Text Mining
Computational Science
Brain-Computer Interface
Visual Analytics
Internet of Things
Human-Computer Interaction
Robotics
Adaptive and Self-Organizing Systems
Blockchain
Emerging Technologies
Network Science and Online Social Networks
Natural Language and Speech
Sentiment Analysis
Autonomous Systems
Distributed and Parallel Computing
Social Computing
Digital Libraries
Graphics
Bronze Contributor

Khalid Raza

PeerJ Author & Reviewer

Summary

Khalid Raza is an Associate Professor at the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi. Dr. Raza has been honored with “ICCR Chair Visiting Professor” by Indian Council for Cultural Relation (ICCR), Ministry of Foreign Affairs, Government of India and deputed at the Faculty of Computer & Information Sciences, Ain Shams University, Cairo, Egypt during academic session 2017-18. He has over 14 years of teaching and research experience in the field of Translational Bioinformatics and Computational Intelligence applications in healthcare. He has contributed over 150 research articles in reputed Journals and Edited Books. Dr. Raza has authored/edited 15 Books published by reputed publishers like Springer-Nature, Elsevier, and CRC Press. Dr. Raza is an Academic Editor of PeerJ Computer Science International Journal, and Guest Editor of the npj Precision Oncology, JoVE (Journal of Visual Experiment), Journal Natural Product Communications. He has an active collaborations with the scientists from leading institutions of India and abroad, including AIIMS (New Delhi), ICMR-NIP, CSIR-IGIB, DRDO-INMAS, NIPGR, CCRUM, DPSRU, UFMG (Brazil), UoT Sydney (Australia), etc. He has reviewed over 250 research articles for reputed Journals/Conferences in the last 5 years. Dr. Raza has delivered several keynote addresses, invited talks, public lectures, and seminars in National and International conferences, workshops, and chaired technical sessions at various conferences. He has served as the technical program committee members of several international conferences and workshops. He has also executed two Indian governments funded research projects. Dr. Raza is a member of MIR Lab (USA), CSI (India), and SCRS (India). His research interest includes Computational Intelligence methods and its applications in Bioinformatics and Health-informatics. Recently, Dr. Raza has been featured in the list of Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier.

Artificial Intelligence Bioinformatics Computational Biology Data Mining & Machine Learning Data Science Emerging Technologies Internet of Things Neural Networks Optimization Theory & Computation World Wide Web & Web Science

Past or current institution affiliations

Jamia Millia Islamia University

Work details

Associate Professor

Jamia Millia Islamia University
Department of Computer Science
Teaching & Research

Identities

@drkraza

Websites

  • Google Scholar
  • PubMed Search
  • ResearcherID

PeerJ Contributions

  • Articles 4
  • Edited 43
January 15, 2025
Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning
Mofadal Alymani, Lenah Abdulaziz Almoqhem, Dhuha Ahmed Alabdulwahab, Abdulrahman Abdullah Alghamdi, Hussain Alshahrani, Khalid Raza
https://doi.org/10.7717/peerj-cs.2544
July 29, 2024
CropGCNN: color space-based crop disease classification using group convolutional neural network
Naeem Ahmad, Shubham Singh, Mohamed Fahad AlAjmi, Afzal Hussain, Khalid Raza
https://doi.org/10.7717/peerj-cs.2136
January 10, 2023
BatTS: a hybrid method for optimizing deep feedforward neural network
Sichen Pan, Tarun Kumar Gupta, Khalid Raza
https://doi.org/10.7717/peerj-cs.1194
January 28, 2021
MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks
Nisar Wani, Khalid Raza
https://doi.org/10.7717/peerj-cs.363

Academic Editor on

May 19, 2025
SODU2-NET: a novel deep learning-based approach for salient object detection utilizing U-NET
Hyder Abbas, Shen Bing Ren, Muhammad Asim, Syeda Iqra Hassan, Ahmed A. Abd El-Latif
https://doi.org/10.7717/peerj-cs.2623
January 24, 2025
Deep gradient reinforcement learning for music improvisation in cloud computing framework
Fadwa Alrowais, Munya A. Arasi, Saud S. Alotaibi, Mohammed Alonazi, Radwa Marzouk, Ahmed S. Salama
https://doi.org/10.7717/peerj-cs.2265
December 19, 2024
A two-phase transfer learning framework for gastrointestinal diseases classification
Ahmed Ali, Arshad Iqbal, Sohail Khan, Naveed Ahmad, Sajid Shah
https://doi.org/10.7717/peerj-cs.2587
December 18, 2024
DANNET: deep attention neural network for efficient ear identification in biometrics
Deepthy Mary Alex, Kalpana Chowdary M., Hanan Abdullah Mengash, Venkata Dasu M., Natalia Kryvinska, Chinna Babu J., Ajmeera Kiran
https://doi.org/10.7717/peerj-cs.2603
December 5, 2024
Dynamic temporal reinforcement learning and policy-enhanced LSTM for hotel booking cancellation prediction
Junhua Xiao, Shahriman Zainal Abidin, Verly Veto Vermol, Bei Gong
https://doi.org/10.7717/peerj-cs.2442
December 4, 2024
A comprehensive analysis and performance evaluation for osteoporosis prediction models
Zahraa Noor Aldeen M. Shams Alden, Oguz Ata
https://doi.org/10.7717/peerj-cs.2338
November 12, 2024
Comparative analysis of deep learning algorithms for dental caries detection and prediction from radiographic images: a comprehensive umbrella review
Mahmood Dashti, Jimmy Londono, Shohreh Ghasemi, Niusha Zare, Meyassara Samman, Heba Ashi, Mohammad Hosein Amirzade-Iranaq, Farshad Khosraviani, Mohammad Sabeti, Zohaib Khurshid
https://doi.org/10.7717/peerj-cs.2371
November 4, 2024
TCellR2Vec: efficient feature selection for TCR sequences for cancer classification
Zahra Tayebi, Sarwan Ali, Murray Patterson
https://doi.org/10.7717/peerj-cs.2239
November 4, 2024
Measurement of sulfur content in coal mining areas by using field-remote sensing data and an integrated deep learning model
Jingyi Liu, Ba Tuan Le
https://doi.org/10.7717/peerj-cs.2458
October 25, 2024
Human–robot interaction: predicting research agenda by long short-term memory
Jon Borregan-Alvarado, Izaskun Alvarez-Meaza, Ernesto Cilleruelo-Carrasco, Rosa Maria Rio-Belver
https://doi.org/10.7717/peerj-cs.2335
October 25, 2024
Latest advancements and prospects in the next-generation of Internet of Things technologies
Farhan Amin, Rashid Abbasi, Salabat Khan, Muhammad Ali Abid, Abdul Mateen, Isabel de la Torre, Angel Kuc Castilla, Eduardo Garcia Villena
https://doi.org/10.7717/peerj-cs.2434
October 11, 2024
AI-based automated breast cancer segmentation in ultrasound imaging based on Attention Gated Multi ResU-Net
Ting Ding, Kaimai Shi, Zhaoyan Pan, Cheng Ding
https://doi.org/10.7717/peerj-cs.2226
September 30, 2024
Ensemble learning approach for distinguishing human and computer-generated Arabic reviews
Fatimah Alhayan, Hanen Himdi
https://doi.org/10.7717/peerj-cs.2345
September 13, 2024
Enhancing intrusion detection performance using explainable ensemble deep learning
Chiheb Eddine Ben Ncir, Mohamed Aymen Ben HajKacem, Mohammed Alattas
https://doi.org/10.7717/peerj-cs.2289
August 7, 2024
Detecting image manipulation with ELA-CNN integration: a powerful framework for authenticity verification
Ahmad M. Nagm, Mona M. Moussa, Rasha Shoitan, Ahmed Ali, Mohamed Mashhour, Ahmed S. Salama, Hamada I. AbdulWakel
https://doi.org/10.7717/peerj-cs.2205
July 10, 2024
Generative artificial intelligence in topic-sentiment classification for Arabic text: a comparative study with possible future directions
Fatima Alderazi, Abdulelah Algosaibi, Mohammed Alabdullatif, Hafiz Farooq Ahmad, Ali Mustafa Qamar, Abdulaziz Albarrak
https://doi.org/10.7717/peerj-cs.2081
May 29, 2024
Recurrent attention U-Net for segmentation and quantification of breast arterial calcifications on synthesized 2D mammograms
Manar AlJabri, Manal Alghamdi, Fernando Collado-Mesa, Mohamed Abdel-Mottaleb
https://doi.org/10.7717/peerj-cs.2076
May 28, 2024
Detection of partial discharge patterns in hybrid high voltage power transmission lines based on parallel recognition method
Yang Yang, Yongye Wu, Yifei Gao, Yixuan Huang, Shukun Liu, Yuanshi Wang
https://doi.org/10.7717/peerj-cs.2045
May 22, 2024
Enabling blockchain for Saudi Arabia drug supply chain using Internet of Things (IoT)
Saeed M. Alshahrani
https://doi.org/10.7717/peerj-cs.2072
April 29, 2024
Adapting multilingual vision language transformers for low-resource Urdu optical character recognition (OCR)
Musa Dildar Ahmed Cheema, Mohammad Daniyal Shaiq, Farhaan Mirza, Ali Kamal, M. Asif Naeem
https://doi.org/10.7717/peerj-cs.1964
April 25, 2024
Physicochemical properties-based hybrid machine learning technique for the prediction of SARS-CoV-2 T-cell epitopes as vaccine targets
Syed Nisar Hussain Bukhari, E. Elshiekh, Mohamed Abbas
https://doi.org/10.7717/peerj-cs.1980
April 22, 2024
DenseHillNet: a lightweight CNN for accurate classification of natural images
Sheikh Muhammad Saqib, Muhammad Zubair Asghar, Muhammad Iqbal, Amal Al-Rasheed, Muhammad Amir Khan, Yazeed Ghadi, Tehseen Mazhar
https://doi.org/10.7717/peerj-cs.1995
April 19, 2024
Uncovering hidden genetic risk factors for breast and ovarian cancers in BRCA-negative women: a machine learning approach in the Saudi population
Nofe Alganmi, Arwa Bashanfar, Reem Alotaibi, Haneen Banjar, Sajjad Karim, Zeenat Mirza, Heba Abusamra, Manal Al-Attas, Shereen Turkistany, Adel Abuzenadah
https://doi.org/10.7717/peerj-cs.1942
April 19, 2024
E-MFNN: an emotion-multimodal fusion neural network framework for emotion recognition
Zhuen Guo, Mingqing Yang, Li Lin, Jisong Li, Shuyue Zhang, Qianbo He, Jiaqi Gao, Heling Meng, Xinran Chen, Yuehao Tao, Chen Yang
https://doi.org/10.7717/peerj-cs.1977
April 17, 2024
CNN-GMM approach to identifying data distribution shifts in forgeries caused by noise: a step towards resolving the deepfake problem
Roaa Mohamed Alnafea, Liyth Nissirat, Aida Al-Samawi
https://doi.org/10.7717/peerj-cs.1991
February 29, 2024
Vulnerable JavaScript functions detection using stacking of convolutional neural networks
Abdullah Sheneamer
https://doi.org/10.7717/peerj-cs.1838
February 29, 2024
Advancing brain tumor detection: harnessing the Swin Transformer’s power for accurate classification and performance analysis
Abdullah A. Asiri, Ahmad Shaf, Tariq Ali, Muhammad Ahmad Pasha, Aiza Khan, Muhammad Irfan, Saeed Alqahtani, Ahmad Alghamdi, Ali H. Alghamdi, Abdullah Fahad A. Alshamrani, Magbool Alelyani, Sultan Alamri
https://doi.org/10.7717/peerj-cs.1867
February 26, 2024
RNN-BiLSTM-CRF based amalgamated deep learning model for electricity theft detection to secure smart grids
Aqsa Khalid, Ghulam Mustafa, Muhammad Rizwan Rashid Rana, Saeed M. Alshahrani, Mofadal Alymani
https://doi.org/10.7717/peerj-cs.1872
January 10, 2024
A comprehensive secure system enabling healthcare 5.0 using federated learning, intrusion detection and blockchain
Jameel Almalki, Saeed M. Alshahrani, Nayyar Ahmed Khan
https://doi.org/10.7717/peerj-cs.1778
January 3, 2024
Cloud type classification using deep learning with cloud images
Mehmet Guzel, Muruvvet Kalkan, Erkan Bostanci, Koray Acici, Tunc Asuroglu
https://doi.org/10.7717/peerj-cs.1779
December 21, 2023
HTMC: hierarchical tolerance mask correspondence for human body point cloud registration
Feng Yu, Zhaoxiang Chen, Li Liu, Liyu Ren, Minghua Jiang
https://doi.org/10.7717/peerj-cs.1724
November 3, 2023
Deep learning Binary/Multi classification for music’s brainwave entrainment beats
Rowayda A. Sadek, Alaa A. Khalifa, Marwa M.A. Elfattah
https://doi.org/10.7717/peerj-cs.1642
November 3, 2023
Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks
Abdullah A. Asiri, Muhammad Aamir, Tariq Ali, Ahmad Shaf, Muhammad Irfan, Khlood M. Mehdar, Samar M. Alqhtani, Ali H. Alghamdi, Abdullah Fahad A. Alshamrani, Osama M. Alshehri
https://doi.org/10.7717/peerj-cs.1667
May 2, 2023
A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer
Gihyeon Kim, Young Mi Park, Hyun Jung Yoon, Jang-Hwan Choi
https://doi.org/10.7717/peerj-cs.1311
January 17, 2023
A super-resolution network using channel attention retention for pathology images
Feiyang Jia, Li Tan, Ge Wang, Caiyan Jia, Zhineng Chen
https://doi.org/10.7717/peerj-cs.1196
October 26, 2022
Towards survival prediction of cancer patients using medical images
Nazeef Ul Haq, Bilal Tahir, Samar Firdous, Muhammad Amir Mehmood
https://doi.org/10.7717/peerj-cs.1090
October 20, 2022
Deepfake attack prevention using steganography GANs
Iram Noreen, Muhammad Shahid Muneer, Saira Gillani
https://doi.org/10.7717/peerj-cs.1125
October 11, 2022
Heterogeneous network propagation with forward similarity integration to enhance drug–target association prediction
Piyanut Tangmanussukum, Thitipong Kawichai, Apichat Suratanee, Kitiporn Plaimas
https://doi.org/10.7717/peerj-cs.1124
March 18, 2022
DMPNet: densely connected multi-scale pyramid networks for crowd counting
Pengfei Li, Min Zhang, Jian Wan, Ming Jiang
https://doi.org/10.7717/peerj-cs.902
March 3, 2022
Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics
Aswathy Ravikumar, Harini Sriraman, P. Maruthi Sai Saketh, Saddikuti Lokesh, Abhiram Karanam
https://doi.org/10.7717/peerj-cs.909
November 5, 2021
CapPlant: a capsule network based framework for plant disease classification
Omar Bin Samin, Maryam Omar, Musadaq Mansoor
https://doi.org/10.7717/peerj-cs.752
September 20, 2021
Genetic variations analysis for complex brain disease diagnosis using machine learning techniques: opportunities and hurdles
Hala Ahmed, Louai Alarabi, Shaker El-Sappagh, Hassan Soliman, Mohammed Elmogy
https://doi.org/10.7717/peerj-cs.697
August 11, 2021
Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions
Junaid Abdul Wahid, Lei Shi, Yufei Gao, Bei Yang, Yongcai Tao, Lin Wei, Shabir Hussain
https://doi.org/10.7717/peerj-cs.677