WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Syed Hassan Shah
PeerJ Editor & Reviewer
2,000 Points

Contributions by role

Reviewer 30
Editor 1,970

Contributions by subject area

Artificial Intelligence
Computer Vision
Autonomous Systems
Computer Networks and Communications
Emerging Technologies
Robotics
Internet of Things
Adaptive and Self-Organizing Systems
Algorithms and Analysis of Algorithms
Data Science
Optimization Theory and Computation
Security and Privacy
Data Mining and Machine Learning
Software Engineering
Text Mining
Neural Networks
Multimedia
Real-Time and Embedded Systems
Mobile and Ubiquitous Computing
Human-Computer Interaction
Network Science and Online Social Networks
Databases
Natural Language and Speech
Sentiment Analysis

Syed Hassan Shah

PeerJ Editor & Reviewer

Summary

Syed Hassan Shah is a Wi-Fi connectivity subject matter expert with the Qualcomm Inc. product management team, where he is involved in Consumer and Compute Wireless products with a focus on Mi-Fi, CPE, and UWB technologies. In addition to that, Dr. Shah is also an adjunct faculty member at California State University, Fullerton Campus, where he teaches computer science courses to graduate classes. Over the past decade, Dr. Shah held multiple industrial & academic roles such as a Product Specialist for Distributed Antenna Systems (DAS), CBRS, Private LTE, Digital Electricity, and open RAN product lines. Dr. Shah was an Assistant Professor in the Department of Computer Science at Georgia Southern University, USA followed by a Post-Doctoral Fellowship at the University of Central Florida, Orlando, USA. Before moving to the United States, he completed his BS with honors in CS from Kohat University of Science & Technology (KUST), Pakistan, and his Ph.D. Degree (combined with Masters) from the School of Computer Science and Engineering (SCSE), Kyungpook National University (KNU), Republic of Korea (South Korea). During the summer of 2015, he was invited as a distinguished visiting researcher at Georgia Tech, Atlanta, USA to investigate MAC layer findings in IEEE 1609.4 protocol stacks. Overall, Dr. Shah has authored/co-authored over 250 peer-reviewed international publications including Journal articles, Conference Proceedings, Book Chapters, and 05 books. In 2016, his work on robust content retrieval in future vehicular networks won the Qualcomm Innovation Award at KNU, South Korea. Dr. Shah's research interests include Wireless and Ad hoc Networks, Cyber-Physical Systems, Smart Cities, Connected Vehicles, and Future Internet architectures.

Furthermore, Dr. Shah is a Senior IEEE and ACM member, served as a TPC Member or Reviewer in over 100 International Conferences and Workshops including IEEE Globecom, IEEE ICC, IEEE CCNC, IEEE ICNC, IEEE VTC, IEEE INFOCOM, ACM CoNEXT, ACM MobiHoc, ACM SAC, and many more. Furthermore, he has been reviewing papers for over 50 different International Journals including IEEE Magazines on Wireless Communications, Networks, Communications, IEEE Communications Letters, IEEE Sensors Letters, IEEE Transactions on Industrial Informatics, and Vehicular Technologies, Intelligent Transportation Systems, Big Data, and Mobile Computing. Moreover, Dr. Shah has been an editorial member of more than 60 Special Issues with top-ranked journals in Communication Society and served as an editorial board member of KSII Transactions on Internet & Information Systems, Wiley's Internet Technology Letters, Transactions on Emerging Telecommunications Technologies, IEEE Newsletters on Internet Initiative, Future Directions, and Software Defined Networks. Dr. Shah has been an appointee of the Board of Governors of the IEEE Vehicular Technology Society as liaison to IEEE Young Professionals society for the year 2018-2019. Since 2018, he is also an ACM Distinguished Speaker.

Algorithms & Analysis of Algorithms Artificial Intelligence Bioengineering Bioinformatics Biotechnology Blockchain Computational Biology Computer Networks & Communications Computer Vision Data Mining & Machine Learning Data Science Embedded Computing Emerging Technologies Environmental Health Healthcare Services Internet of Things Neural Networks Real-Time & Embedded Systems Security & Privacy Sensors Text Mining

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

California State University, Fullerton

Work details

Professor

California State University, Fullerton
May 2022
Computer Science
Dr. Shah is an adjunct faculty member at California State University, Fullerton Campus, where he teaches computer science courses to graduate classes.

Websites

  • Google Scholar
  • Professional Website

PeerJ Contributions

  • Edited 15

Academic Editor on

July 7, 2025
A hybrid extraction model for semantic knowledge discovery of water conservancy big data
Yanna Feng, Feng Zhang, Yongheng Zhang, Jiangang Dong, PengJu Wang
https://doi.org/10.7717/peerj-cs.2960
June 18, 2025
Automated guided vehicle (AGV) path optimization method based on improved rapidly-exploring random trees
Zhigang Ren, Anjiang Cai, Feilong Xu
https://doi.org/10.7717/peerj-cs.2915
May 20, 2025
Modeling and implementation of a real-time digital twin for the Stewart platform with real-time trajectory computation
Xiurui Ding, Jinsheng Xing
https://doi.org/10.7717/peerj-cs.2892
December 12, 2024
ISCCO: a deep learning feature extraction-based strategy framework for dynamic minimization of supply chain transportation cost losses
Yangyan Li, Tingting Chen
https://doi.org/10.7717/peerj-cs.2537
October 31, 2024
Metaheuristic optimized complex-valued dilated recurrent neural network for attack detection in internet of vehicular communications
Prasanalakshmi Balaji, Korhan Cengiz, Sangita Babu, Omar Alqahtani, Sedat Akleylek
https://doi.org/10.7717/peerj-cs.2366
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 30, 2024
A knowledge graph algorithm enabled deep recommendation system
Yan Wang, Xiao Feng Ma, Miao Zhu
https://doi.org/10.7717/peerj-cs.2010
July 23, 2024
Optimizing road safety: integrated analysis of motorized vehicle using lattice ordered complex linear diophantine fuzzy soft set
K. Ashma Banu, J. Vimala, Nasreen Kausar, Željko Stević
https://doi.org/10.7717/peerj-cs.2165
July 8, 2024
An LSTM-based optimization algorithm for enhancing quantitative arbitrage trading
Guodong Han, Hecheng Li
https://doi.org/10.7717/peerj-cs.2164
June 24, 2024
MCV-UNet: a modified convolution & transformer hybrid encoder-decoder network with multi-scale information fusion for ultrasound image semantic segmentation
Zihong Xu, Ziyang Wang
https://doi.org/10.7717/peerj-cs.2146
June 13, 2024
Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency
Surjeet Dalal, Umesh Kumar Lilhore, Nidhi Sharma, Shakti Arora, Sarita Simaiya, Manel Ayadi, Nouf Abdullah Almujally, Amel Ksibi
https://doi.org/10.7717/peerj-cs.1939
March 28, 2024
Multiangle perception-oriented environmental facility design method based on joint fuzzy decision-making and transfer learning
Siconghui Yao
https://doi.org/10.7717/peerj-cs.1855
February 29, 2024
Multi-angle perception and convolutional neural network for service quality evaluation of cross-border e-commerce logistics enterprise
ShuTong Zhao, Zhenjie Yin, Pingping Xie
https://doi.org/10.7717/peerj-cs.1911
December 12, 2023
A novel network security situation assessment model based on multiple strategies whale optimization algorithm and bidirectional GRU
Shengcai Zhang, Qiming Fu, Dezhi An, Zhenxiang He, Zhenyu Liu
https://doi.org/10.7717/peerj-cs.1729
November 27, 2023
Machine learning code snippets semantic classification
Valeriy Berezovskiy, Anastasia Gorodilova, Ekaterina Trofimova, Andrey Ustyuzhanin
https://doi.org/10.7717/peerj-cs.1654