Danish Javeed
Dalian Maritime University, Northeastern University, Changchun University of Science and Technology
Research areas: Computer Science · Computer Networks and Communications · Network Security and Intrusion Detection · Network Packet Processing and Optimization · Internet Traffic Analysis and Secure E-voting
About
Danish Javeed (Member IEEE) received the Ph.D. degree in Software Engineering from the Software College, Northeastern University, China, in 2024, and the M.E. degree in Computer Applied Technology from Changchun University of Science and Technology, China, in 2020, both under the prestigious fellowship of the Ministry of Education funded by the Government of China. He is currently a Postdoctoral Researcher at the College of Artificial Intelligence, Dalian Maritime University, China. His research interests include AI for Cybersecurity, Internet of Things, Intrusion Detection and Prevention Systems, Software-defined Networking, and edge computing. He has authored or co-authored 40+ papers in high-impact journals and conferences, including IEEE COMMUNICATION SURVEYS & TUTORIALS (COMST), IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (T-ITS), IEEE TRANSACTIONS ON NETWORK SCIENCE & ENGINEERING (TNSE), IEEE TRANSACTIONS ON CONSUMER ELECTRONICS (TCE), ACM TRANSACTIONS ON INTERNET TECHNOLOGY (ToIT). IEEE INTERNET OF THINGS JOURNAL (IoTJ), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (JBHI), COMPUTERS & SECURITY (COSE, Elsevier), Decision Support Systems (DSS, Elsevier), Future Generation Computer Systems (FGCS, Elsevier), Ad Hoc Networks (Elsevier), and IEEE ICC, etc.
Employment
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Dalian Maritime University Postdoctoral Researcher2025 - Present
Education
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Northeastern University Ph.D. (Software Enginnering)2020 - 2024
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Changchun University of Science and Technology M.E. (Computer Application Technology)2017 - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (45)
- TAPLIDS: A Temporal-Aware Prototype-based Lightweight and Interpretable Intrusion Detection System for Intelligent Transportation Systems Save
- A Multi-Frequency Temporal Spatio-Transformer for adversarially robust IoT intrusion detection Save
- SpiNet: Spectral-Pattern Routing with Structured Expert Computation for energy-efficient intrusion detection system Save
- Selective Federated IDS Framework with Adaptation for Large-scale Segmented Industrial Networks Save
- From evidence to decision: Concept–prototype reasoning for intrusion detection in SDN-based industrial networks Save
- Responsible AI: Ethics in Cognitive and Semantic Computing for Enhanced User Experience Save
- A responsible AI-driven framework for robust and transparent software vulnerability detection Save
- A Hybrid Deep Learning Approach for Epileptic Seizure Detection in EEG signals Save
- Dynamic QoS Mapping in Integrated 5G-TSN Networks With Programmable Resource Slicing Save
- Federated and Quantized-Based Intrusion Detection for Embedded On-Board Automotive Networks Save
- Integrated 5G and Time Sensitive Networking for Emerging Applications: A Survey of Advancements, Challenges, and Future Directions Save
- Spectral Relational Representation Knowledge Distillation for Intrusion Detection in Smart Supply Chain Systems Save
- Temporal Irregularity-Aware Attention Mechanism for Industry 5.0 Intrusion Detection Save
- Spatiotemporal Conditioning With Dynamic Multihead Attention for IoT Intrusion Detection Save
- Trust my IDS: An explainable AI integrated deep learning-based transparent threat detection system for industrial networks Save
- DeepSecure: A computational design science approach for interpretable threat hunting in cybersecurity decision making Save
- A federated learning-based zero trust intrusion detection system for Internet of Things Save
- Federated Learning-Based Personalized Recommendation Systems: An Overview on Security and Privacy Challenges Save
- A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals Save
- An Explainable and Resilient Intrusion Detection System for Industry 5.0 Save