Bin Hu, Ph.D.

Assistant Professor 

Department of Computer Science and Technology

Hennings College of Science, Mathematics, and Technology

Office Location: GLAB - 421

Email: bin.hu@kean.edu

Phone: (908) 737 - 4758

Personal Website

Google Scholar

• Ph.D. in Electrical & Computer Engineering, Rutgers Univeristy - New Brunswick
• M.S. in Software Engineering, Monmouth University
• M.S. in Software Engineering, Xi'an Jiaotong University
• B.S. in Mechanical Engineering, Xi'an Jiaotong University

• CPS*2232 Data Structures
• TECH*2920 Computer Systems
• TECH*3498 IT Computer Security
• CPS*4981/TECH*4981/CPS*5990, Special Topic: Smart Sensing, Computing and Edge AI,
• CPS*4851 Foundations of Edge AI

My research interests include Mobile Sensing and Computing, Cybersecurity and Privacy, Efficient Deep Learning, and Sustainable Manufacturing.

• Students: Motivated undergraduate and graduate students are welcome to join our research projects and gain hands-on research experience.
• Researchers & Faculty: We welcome collaborations in computer science and interdisciplinary research areas, including joint projects across diverse fields.

External Grants

• 10/2026 - 09/2029, National Science Foundation (NSF), NSF 26-503, CyberAI Innovation: Building Academic Pathways for the CyberAI Workforce, $500,000
• 08/2026 - 07/2032, National Science Foundation (NSF), NSF 25-514 S-STEM, Project ASK: Advancing Student Knowledge for Graduate Success in Computer Science, $2,000,000
• 09/2025 - 08/2026, CAHSI - Google Institutional Research Program, Enhancing Differential Privacy for User-End Large Language Model Prompts with a Three-Stage Framework, $80,000

Internal Grants

• 05/2026 - 09/2026, Kean University SpF Funding, AI-Enabled Mobile and Wireless Device-Free Sensing Framework for Exercise, Movement, and Wellness Monitoring in Home, Fitness, and Community Environments, $12,500
• 06/2026 - 08/2026, Kean University Application for Existing Resources, AI-Enabled Mobile and Wireless Device-Free Sensing Framework for Exercise, Movement, and Wellness Monitoring in Home, Fitness, and Community Environments, $2,200
• 05/2025 - 09/2025, Kean University SpF Funding, WiFi-Based Human Activity Recognition, $10,500
• 09/2025 - 08/2026, Kean University IST Fellow, Phase II: Exploiting Efficient Federated Learning for User-Verified Activity Recognition in Heterogeneous Edge Devices, $10,000
• 06/2025 - 08/2025, Kean University Application for Existing Resources, Efficient Multi-task Federated Learning on Mobile Human Activity Recognition, $2,000
• 09/2024 - 08/2025, Kean University IST Fellow, Exploiting Software Accelerator for Low-Power Heterogeneous Edge Devices on Federated Learning, $10,000
• 06/2024 - 08/2024, McNair Scholars Summer Research Institute (SRI), Faculty Research/Mentorship Support, $1,000

Our research facilities support student and collaborative research in AI-enabled sensing, mobile and edge AI, wireless sensing, human activity recognition, biosensing, biomechanics, IoT, and intelligent systems.

• Human Sensing, Biosignals & Biomechanics

  FDM 1.5 Pressure Walkway · MindWave EEG Sensor · Biofeedback System · Wearable Motion Sensors

• Wireless, RF & Contactless Sensing

  mmWave Radar · UHF RFID Reader and Antennas · Wi-Fi Sensing

• Environmental & IoT Sensing

  Air Quality Sensors · Environmental Sensors · IoT Sensor Platforms

• Mobile, Wearable & Edge AI

  Smartphones · Wearable Devices · Raspberry Pi · NVIDIA Edge AI Platforms

• Vision & Acoustic Sensing

  Cameras · Audio Devices

• High-Performance AI Computing

  High-Performance GPU Cluster · GPU Servers

Students and researchers interested in using these platforms for research and collaborative projects are welcome to contact us.

Journal 

• Bin Hu, Cheng Lu, Daehan Kwak, Jianxin Lei, Meng Xu, Junyong You, and Yunhe Feng, "Hybrid-DP Diffusion for Privacy-Preserving WiFi CSI Sensing and Biometric Template Generation," IEEE Sensors Journal, IEEE, May 2026. DOI: https://doi.org/10.1109/JSEN.2026.3690368. (Kean Student Co-authors) 
• Meng Xu, Bin Hu, Yingfeng Wang, Patrick Koo, Kuan Huang, "DRSeg: a weakly supervised framework for breast ultrasound image segmentation," Journal Scientific Reports, 2026/4/28. DOI: https://doi.org/10.1038/s41598-026-49728-0.
• Sheng Qin, Wei Zeng, Xinyu Guo, Jun Wang, Sheng Liu, Lei Qi, Bin Hu, and Jian Wang, "Tackling a Resource-Sharing Hybrid Disassembly Line Balancing Problem Using Reinforcement Learning," IEEE Transactions on Automation Science and Engineering, IEEE, May 2026. DOI: https://doi.org/10.1109/TASE.2026.3689904.
• Junyong Deng, Tianyi Sima, Yong Chul Kang, Yan Zhu, Bin Hu, Xinyu Chang, and Subir Paul, "SHF: A DNNs Accelerator with Software/Hardware Fusion Mechanism," Microelectronics Journal, Elsevier, 107218, April 2026. DOI: https://doi.org/10.1016/j.mejo.2026.107218.
• Xiwang Guo, Fengning Yang, Jun Wang, Sheng Qin, Lei Qi, Bin Hu, and Yu Ji, "Solving Human–Robot Collaborative Circular Disassembly Line Balancing Problem via Graph Neural Network-Enhanced Proximal Policy Optimization Algorithm,” IEEE Transactions on Computational Social Systems, IEEE, March 2026. DOI: https://doi.org/10.1109/TCSS.2026.3656310.
• Sugang Ma, Z Wan, Bin Hu, J Zhang, Z Hou, X Zhao, "SSTrack: Joint Scale-Aware Temporal Prompts and Spatio-Temporal Prior Transformer for Visual Object Tracking," Knowledge-Based Systems, 115370, January 2026. DOI: https://doi.org/10.1016/j.knosys.2026.115370.
• Junyong You, Yuan Lin, Bin Hu, "Enhancing aesthetic image generation with reinforcement learning guided prompt optimization in stable diffusion," Journal of Visual Communication and Image Representation, Elsevier, Volume 114, January 2026. DOI: https://doi.org/10.1109/SMC58881.2025.11342753. 
• Shunlong Li, Evangelos I., Daehan Kwak, Bin Hu, Dan Liu, "Optimizing Heterogeneous Capacitated Vehicle Routing with Linformer and Multi-Relationship Decoding: A Deep Reinforcement Learning Approach," Journal of the Transportation Research Board, Transportation Research Record, July 2025. DOI: https://doi.org/10.1177/03611981251338719.
• Shujin Qin, Shaokang Dai, Jiacun Wang, Shixin Liu, Xiwang Guo, Liang Qi, Bin Hu, and Yingjun Ji, "Improved Carnivorous Plant Algorithm for Human-Robot Collaborative U-Shaped Disassembly Line Balancing with Mobile Workers," IEEE Transactions on Computational Social Systems, IEEE, Oct 2025. DOI: https://doi.org/10.1109/TCSS.2025.3596163.
• Sugang Ma, Zhen Wan, Licheng Zhang, Jinyu Zhang, Xiangmo Zhao, Bin Hu, "HFFTrack: Transformer Tracking via Hybrid Frequency Features," Neural Networks, Vol:186, Elsevier, June 2025. DOI: https://doi.org/10.1016/j.neunet.2025.107269.
• Bin Hu, Junyong You, Kuan Huang, Meng Xu, Dan Liu, and Sugang Ma, "Efficient Image Classification and Object Detection on Mobile Devices using Trusted Execution Environments," IEEE Access, Vol: 13, 31423 – 31441, Feb 2025. DOI: https://doi.org/10.1109/ACCESS.2025.3538712. 
• Tianming Zhao, Yucheng Xie, Yan Wang, Jerry Cheng, Xiaonan Guo, Bin Hu, Yingying Chen, "A Survey of Deep Learning on Mobile Devices: Applications, Optimizations, Challenges, and Research Opportunities," in Proceedings of the IEEE, 2022. DOI: https://doi.org/10.1109/JPROC.2022.3153408.
• Bin Hu and Jiacun Wang, "Deep Learning Based Hand Gesture Recognition and UAV Flight Controls", inProceedings of International Journal of Automation and Computing (IJAC)/Machine Intelligence Research (MIR), 2020. DOI: https://doi.org/10.1007/s11633-019-1194-7.

Conference                                                                                                                                                

• Meng Xu, Bin Hu, Boyang Li, Kuan Huang, "Pixel-Level Data Augmentation for Robust Medical Image Classification," In the 48th Annual international Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2026).
• Qi Zhang, Shaokang Dai, Xiwang Guo, Liang Qi, Jiacun Wang, Shujin Qin, Weitian Wang and Bin Hu, "An Improved Seagull Optimization Algorithm for the Hybrid Disassembly Line Balancing Problem with Worker Workload Consideration," The 22nd IEEE International Conference on Networking, Sensing and Control (IEEE ICNSC 2025), IEEE, OCT 2025. DOI: https://doi.org/10.1109/ICNSC66229.2025.00057.
• Junyong You, Yuan Lin, and Bin Hu, "Enhancing Visual Aesthetics in Stable Diffusion: A Reinforcement Learning Approach," 2025 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2025), Oct 2025. DOI: https://doi.org/10.1109/SMC58881.2025.11342753.
• Yujie Feng, Xiwang Guo, Jiacun Wang, Ying Tang, Weitian Wang, Bin Hu, Siqi Chen, and Jun Wang, "Improved Fireworks Algorithm-Enhanced Single-Objective Hybrid Disassembly Line Balancing with Machine Wear Rates Considered," 2025 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2025), Sept 2025. DOI: https://doi.org/10.1109/SMC58881.2025.11342526.
• Yujie Feng, Xiwang Guo, Liang Qi, Jiacun Wang, Weitian Wang, Shujin Qin, Bin Hu, Xu Wang, "Improved Fireworks Algorithm for Multi-Skill Robot Multi-Objective Hybrid Disassembly," 2025 International Conference on Networking, Sensing and Control (ICNSC), Oct 2025. DOI: https://doi.org/10.1109/ICNSC66229.2025.00060.
• Wenjing Zeng, Xiwang Guo, Jiacun Wang, Shujin Qin, Liang Qi, Bin Hu, Siqi Chen, Jun Wang, "Disassembly and Assembly Line Balancing Problem with Robot Movement Space Constraints Solved Using the Improved Parallel A2C Algorithm," 2025 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2025), IEEE, Oct 2025. DOI: https://doi.org/10.1109/SMC58881.2025.11342530.
• Wenjing Zeng, Xiwang Guo, Jiacun Wang, Ying Tang, Weitian Wang, and Bin Hu, "Manufacturing Task Scheduling Optimization with Buffer Zones using Parallel Advantage Actor-Critic Algorithm," The IEEE 21st International Conference on Automation Science and Engineering (IEEE CASE 2025), IEEE, Sept 2025. DOI: https://doi.org/10.1109/CASE58245.2025.11164104.
• Bin Hu, Yan Wang, Yan Wang, Jerry Cheng, Tianming Zhao, Xiaonan Guo, Yucheng Xie, and Yingying Chen, "Secure and Efficient Mobile DNN Execution Using Trusted Execution Environments", in Proceedings of the ACM ASIA Conference on Computer and Communications Security (ACM ASIACSS 2023), 2023. DOI: https://doi.org/10.1145/3579856.3582820.
• Bin Hu, Tianming Zhao, Yan Wang, Jerry Cheng, Richard Howard, Yingying Chen, Hao Wan,
  "BioTag: Robust RFID-based Continuous User Verification Using Physiological Features from Respiration", inProceedings of the International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM Mobihoc 2022), 2022. DOI: https://doi.org/10.1145/3492866.354971.
• Bin Hu, Tianming Zhao, Yucheng Xie, Yan Wang, Xiaonan Guo, Jerry Cheng, and Yingying Chen," MIXP: Efficient Deep Neural Networks Pruning for Further FLOPs Compression via Neuron Bond", in Proceedings of International Joint Conference on Neural Networks (IEEE IJCNN 2021), 2021.DOI: https://doi.org/10.1109/IJCNN52387.2021.9533522.
• Bin Hu and Jiacun Wang, "Deep Learning Based Hand Gesture Recognition and UAV Flight Controls", in Proceedings of the 24th International Conference on Automation and Computing (IEEE ICAC 2018), 2018. DOI: https://doi.org/10.1007/s11633-019-1194-7.
• Bin Hu and Zhongming Wang, "A cross-layer congestion control algorithm for underground mine video transmission over wireless networks", in Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control (IEEE ICNSC 2014), 2014. DOI: https://doi.org/10.1109/ICNSC.2014.6819632.

Student Conference, Presentation, and Poster                                                                                  

• Alejandro Chavez, Bin Hu, Daehan Kwak, "Adaptation Mechanisms for Air Quality Forecasting Under Fixed Source Pools," 28th International Conference on Artificial Intelligence (ICAI'26), 2026. (Kean Student Co-authors) (To appear)
• Danny Munoz, Bin Hu, Daehan Kwak, "Multi-Class Person Classification Using RF-Based Physiological Signals," 25th International Conference on Wireless Networks (ICWN'26), 2026. (Kean Student Co-authors) (To appear)
• Ruoqing Li, Bin Hu, Daehan Kwak, "TinySleepNet for Lightweight Sleep Stage Classification: A Reproducibility Study on Sleep-EDF," 28th International Conference on Artificial Intelligence (ICAI'26), 2026. (Kean Student Co-authors) (To appear)
• Wei Liu, Yukun Xiong, Bin Hu, Daehan Kwak, "Evaluating Automatic Speech Recognition Models: How Well Do They Handle Accents?" International Conference on the AI Revolution, Spring 2026. DOI: https://doi.org/10.1007/978-3-032-12930-7_31. (Kean Student Co-authors)
• Danny Galvis and Bin Hu, "SensorShield: Detecting Adversarial Attacks on Wearable Health Monitoring Pipelines," CAHSI-LRUE, 2026. (Kean Student Co-authors)
• Maliha Haider, Bin Hu, Daehan Kwak, "Bridging the Gap: The Sentiment of User Reviews and 5-Star Ratings," World Congress in Computer Science, Computer Engineering & Applied Computing, May 2025. DOI: https://doi.org/10.1007/978-3-031-86623-4_20. (Kean Student Co-authors)
• Alejandro Chavez-Mayoral, Bin Hu, and Daehan Kwak, "Health Monitoring via RFID-based Respiratory Tracking System," The Conference on Undergraduate Research (NCUR), 2025. (Kean Student Co-authors)
• Chang Lu, Bin Hu, and Daehan Kwak, "WiFi based human activity recognition system," The Conference on Undergraduate Research (NCUR), 2025. (Kean Student Co-authors)
• Maliha Haider, Bin Hu, and Daehan Kwak, "Utilizing Machine Learning for Review-Based Rating Prediction," The Conference on Undergraduate Research (NCUR), 2024. (Kean Student Co-authors)