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Syed Sajid Ullah
PeerJ Author & Reviewer
2,730 Points

Contributions by role

Reviewer 30
Editor 2,700

Contributions by subject area

Bioinformatics
Computational Biology
Artificial Intelligence
Computer Vision
Neural Networks
Computer Networks and Communications
Cryptography
Emerging Technologies
Security and Privacy
Algorithms and Analysis of Algorithms
Computational Linguistics
Natural Language and Speech
Text Mining
Data Mining and Machine Learning
Autonomous Systems
Real-Time and Embedded Systems
World Wide Web and Web Science
Internet of Things
Data Science
Agents and Multi-Agent Systems
Databases
Visual Analytics
Human-Computer Interaction
Mobile and Ubiquitous Computing
Optimization Theory and Computation
Scientific Computing and Simulation
Distributed and Parallel Computing
Software Engineering
Computer Aided Design
Network Science and Online Social Networks
Sentiment Analysis
Multimedia
Blockchain

Syed Sajid Ullah

PeerJ Author & Reviewer

Summary

Dr. Syed Sajid Ullah is a Research Fellow in the Department of Information and Communication Technology, University of Agder.

He currently works as a researcher in the NIST project of Quantum Cryptography and has published more then 90 papers in quality journals.

Artificial Intelligence Bioinformatics Computational Biology Computer Vision Neural Networks

Past or current institution affiliations

University of Agder

Work details

Research Fellow

University of Agder
January 2022
Information and Communication Technology
Research Fellow in Fields of Cryptography, Access Control, Blockchain, IoT, and Quantum Technology. Working as a researcher in NIST project Quantum Cryptography. Published more the 90 papers in quality journals.

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 16

Academic Editor on

May 30, 2025
The application of blockchain technology in data trading: a systematic review
Wei Xiong, Huaibin Shao, Hong Ge
https://doi.org/10.7717/peerj-cs.2925
January 2, 2025
Application of machine learning techniques for warfarin dosage prediction: a case study on the MIMIC-III dataset
Aasim Ayaz Wani, Fatima Abeer
https://doi.org/10.7717/peerj-cs.2612
September 26, 2024
The role of Internet of Things (IoT) technology in modern cultivation for the implementation of greenhouses
Attique ur Rehman, Songfeng Lu, Muhammad Awais Ashraf, Muhammad Shahid Iqbal, Awais khan Nawabi, Farhan Amin, Rashid Abbasi, Isabel de la Torre, Santos Gracia Villar, Luis Alonso Dzul Lopez, Md. Belal Bin Heyat
https://doi.org/10.7717/peerj-cs.2309
August 13, 2024
Enhancing rice yield prediction: a deep fusion model integrating ResNet50-LSTM with multi source data
Aqsa Aslam, Saima Farhan
https://doi.org/10.7717/peerj-cs.2219
August 6, 2024
SentinelFusion based machine learning comprehensive approach for enhanced computer forensics
Umar Islam, Abeer Abdullah Alsadhan, Hathal Salamah Alwageed, Abdullah A. Al-Atawi, Gulzar Mehmood, Manel Ayadi, Shrooq Alsenan
https://doi.org/10.7717/peerj-cs.2183
July 11, 2024
Recognition of inscribed cursive Pashtu numeral through optimized deep learning
Sibtain Syed, Khalil Khan, Maqbool Khan, Rehan Ullah Khan, Abdulrahman Aloraini
https://doi.org/10.7717/peerj-cs.2124
July 8, 2024
Intent aware data augmentation by leveraging generative AI for stress detection in social media texts
Minhah Saleem, Jihie Kim
https://doi.org/10.7717/peerj-cs.2156
June 24, 2024
Multi-FusNet: fusion mapping of features for fine-grained image retrieval networks
Xiaohui Cui, Huan Li, Lei Liu, Sheng Wang, Fu Xu
https://doi.org/10.7717/peerj-cs.2025
June 24, 2024
Multi level perspectives in stock price forecasting: ICE2DE-MDL
Zinnet Duygu Akşehir, Erdal Kılıç
https://doi.org/10.7717/peerj-cs.2125
May 20, 2024
Innovative road distress detection (IR-DD): an efficient and scalable deep learning approach
Ahsan Zaman Awan, Jiancheng (Charles) Ji, Muhammad Uzair, Irshad Ullah, Waqar Riaz, Tao Gong
https://doi.org/10.7717/peerj-cs.2038
April 16, 2024
A review of social background profiling of speakers from speech accents
Mohammad Ali Humayun, Junaid Shuja, Pg Emeroylariffion Abas
https://doi.org/10.7717/peerj-cs.1984
April 11, 2024
Combined spatial and frequency dual stream network for face forgery detection
Hui Zhao, Xin Li, Bingxin Xu, Hongzhe Liu
https://doi.org/10.7717/peerj-cs.1959
March 27, 2024
Deep learning-based recognition system for pashto handwritten text: benchmark on PHTI
Ibrar Hussain, Riaz Ahmad, Khalil Ullah, Siraj Muhammad, Rasha Elhassan, Ikram Syed
https://doi.org/10.7717/peerj-cs.1925
March 11, 2024
Efficient-gastro: optimized EfficientNet model for the detection of gastrointestinal disorders using transfer learning and wireless capsule endoscopy images
Shaha Al-Otaibi, Amjad Rehman, Muhammad Mujahid, Sarah Alotaibi, Tanzila Saba
https://doi.org/10.7717/peerj-cs.1902
February 20, 2024
A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN
Zinnet Duygu Akşehir, Erdal Kılıç
https://doi.org/10.7717/peerj-cs.1852
February 8, 2024
Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices
Firdous Qaiser, Mudassar Hussain, Abdul Ahad, Ivan Miguel Pires
https://doi.org/10.7717/peerj-cs.1854