Secure & Intelligent Systems Lab

News

4/2/24   Dr. Yilmaz has been recognized as one of the top 2% of the most cited researchers globally in his field by Stanford’s annual ranking.[link]

3/10/24   New grant: DOD , "Additively Manufactured Multidimensional Cryptographic Physically Unclonable Functions for Wireless System Security"

3/1/24   New paper: "Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets", Sensors [pdf]

2/1/24   New paper: "Real-Time Weakly Supervised Video Anomaly Detection", WACV 2024 [pdf]

12/5/23   New grant: DOD , "High resolution lidar and radar for machine learning-based terrain classification"

11/15/23   Best Paper Award at the IEEE Conference on Dependable and Secure Computing (IEEE DSC) 2023 for our paper "Privacy-Preserving Video Understanding via Transformer-based Federated Learning". Congratulations, Keval! [photo]

11/10/23   Our recent graduate Dr. Keval Doshi received the prestigious 2023 Outstanding Dissertation Award! [link] [photo]

10/20/23   New paper: "Sequential Architecture-Agnostic Black-Box Attack Design and Analysis Pattern Recognition", Pattern Recognition [pdf]

10/10/23   Two papers accepted to the IEEE Conference on Dependable and Secure Computing (IEEE DSC) 2023: "Privacy-Preserving Video Understanding via Transformer-based Federated Learning" [pdf] and "Semantic Video Transformer for Robust Action Recognition" [pdf]

8/31/23   New paper: "Time-Aware Distributed Sequential Detection of Gas Dispersion via Wireless Sensor Networks", IEEE Transactions on Signal and Information Processing over Networks [pdf]

7/6/23   New paper: "Any-shot Learning from Multimodal Observations (ALMO)", IEEE Access [pdf]

6/1/23   New paper: "Self-Supervised Learning for Online Anomaly Detection in High-Dimensional Data Streams", Electronics [pdf]

4/5/23   New paper: "Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding", CVPR 2023 Workshop on Learning With Limited Labelled Data for Image and Video Understanding [pdf] [supplementary]

3/9/23   New grant: Florida High Tech Corridor, "Personalized aphasia communication assistant (AI-Phasia)", [link]

2/20/23   New NSF grant: "SaTC: CORE: Medium: Physically Unclonable Wireless Systems (PUWS) for RF Fingerprinting and Physical Layer Security" [link]

2/5/23   New paper: "Towards Interpretable Video Anomaly Detection", WACV 2023 [pdf]

1/5/23   New paper: "Demand-side and Utility-side Management Techniques for Increasing EV Charging Load", IEEE Transactions on Smart Grid [pdf]

1/1/23   New paper: "A Multi-object Deep Neural Network Architecture to detect Prostate Anatomy in T2-weighted MRI: Performance Evaluation", Frontiers in Nuclear Medicine [pdf]

11/28/22   New paper: "Detecting Dangerous Maritime Refugee Migration Paths through Cell Phone Activities", 2022 IEEE International Conference on Big Data [pdf]

11/4/22   Congratulations to Salman, who received the Chih Foundation Research Award! [link]

10/10/22   New NSF-NIFA grant: "SitS: Wireless Soil Sensing and Advanced Data-Driven Analysis for Post-Wildfire Hazards and Recovery in Mountainous Landscapes"

10/7/22   New DOD grant: "Towards Ultra-High Performance Geodetic DEMs"

10/5/22   New paper: "RSU-Based Online Intrusion Detection and Mitigation for VANET", Sensors [pdf]

9/24/22   New NSF grant: "The BlueGreen Action Platform, connecting communities upstream and downstream to improve nitrogen management" [link]

8/23/22   New paper: "Some Methods for Addressing Errors in Static AIS Data Records", Ocean Engineering [pdf]

8/20/22   Our recent graduate Dr. Almuthanna Nassar joined Walmart Labs as a Senior Staff Data Scientist.

8/15/22   Our recent graduate Dr. Mehmet Aktukmak joined Intel as a Senior AI Engineer.

8/10/22   Dr. Yilmaz got tenured and promoted to Associate Professor.

8/5/22   Keval successfully defended his PhD dissertation and started to work at Amazon Prime Video as a Research Scientist. Congratulations, Dr. Doshi! [photo]

8/1/22   Our project "HOPE: Hospital Resource Optimizer for Pandemics and Emergencies" was a finalist at the 2022 Florida Blue Health Innovation Challenge. Congratulations, Salman! [link]

7/24/22   New DoD grant: "Object Detection, Tracking, and Identification in a Congested Environment Using Artificial Intelligence Enabled Algorithms"

6/29/22   New paper: "Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events", IEEE Journal of Biomedical and Health Informatics [pdf]

6/10/22   Third place at the Robustness in Sequential Data Challenge at CVPR 2022 [link]

6/1/22   Salman will be doing an internship with Samsung Research this summer. Congratulations, Salman!

5/1/22   Paper accepted to IJCNN 2022 for oral presentation: "Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection" [pdf]

4/18/22   Three papers accepted to CVPR 2022 Workshops: "Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems" [pdf], "Federated Learning-based Driver Activity Recognition for Edge Devices" [pdf], "Multi-Task Learning for Video Surveillance with Limited Data" [pdf]

3/7/22   New paper: "Home Energy Recommendation System (HERS): A Deep Reinforcement Learning Method based on Residents' Feedback and Activity", IEEE Transactions on Smart Grid [pdf]

1/20/22   New paper: "Online Privacy-Preserving Data-Driven Network Anomaly Detection", IEEE Journal on Selected Areas in Communications

11/1/21   New paper: "Modeling and Simulating Adaptation Strategies against Sea-Level Rise using Multi-Agent Deep Reinforcement Learning", IEEE Transactions on Computational Social Systems [pdf]

10/5/21   Two papers accepted to WACV 2022: "A Modular and Unified Framework for Detecting and Localizing Video Anomalies" [paper] [supplementary] and "Rethinking Video Anomaly Detection - A Continual Learning Approach" [paper] [supplementary]

10/1/21   Two papers accepted to the 53rd North American Power Symposium (NAPS): "Deep Reinforcement Learning Based Optimal Perturbation for MPPT in Photovoltaics" [pdf] and "CIBECS: Consumer Input Based Electric VehicleCharge Scheduling for a Residential Home" [pdf]

9/24/21   New NSF grant: "Linking the Green Economy to the Blue Economy at the Coast" [link]

9/15/21   New paper: "Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models", IEEE Transactions on Signal Processing [pdf]

8/1/21   New NSF grant: "Real-Time Data-Driven Anomaly Detection for Complex Networks" [link]

7/1/21   First Place Award in the 2nd Workshop on Continual Learning in Computer Vision" Reinforcement Learning Track, CVPR 2021" Congratulations to Keval! [link] [photo]

6/27/21   New paper: "Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities", IEEE Internet of Things Journal [pdf]

5/23/21   Congratulations to Almuthanna, who successfully defended his PhD dissertation! [photo]

4/21/21   New paper: "Sequential Attack Detection in Recommender Systems", IEEE Transactions on Information Forensics and Security [pdf]

4/20/21   New paper: "An Efficient Approach for Anomaly Detection in Traffic Videos", CVPR 2021 AI City Challenge [pdf]

4/10/21   New paper: "Deep Reinforcement Learning Based Cost-Benefit Analysis for Hospital Capacity Planning", IJCNN 2021 [pdf]

3/14/21   Dr. Yilmaz will give a talk at HBCU Data Science Consortium's Speaker Series on Friday, 3/19/21. [flyer] You can register here.

3/10/21   We are co-organizing the Data Science and Advanced Analytics for Smart & Connected Communities special session at the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2021).

3/1/21   Dr. Yilmaz will be an invited speaker at the American Statistical Association Florida Chapter's Annual Meeting on Friday, 4/2/21. [info]

1/24/21   New paper: "Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate", Pattern Recognition [pdf]

1/2/21   New paper: "Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks", IEEE Transactions on Dependable and Secure Computing [pdf][appendix]

10/13/20   Second Place Award in the IEEE BigData Cup Challenge "Global Road Damage Detection Challenge 2020" [link] Congratulations to Keval!

9/25/20   Our team is one of the winners of the NIST Challenge "Automated Streams Analysis for Public Safety Challenge - Part 1" [link] [interview]

9/7/20   New NSF grant: "Understanding and Combating Adversarial Spectrum Learning towards Spectrum-Efficient Wireless Networking" [link]

8/26/20   New paper: "Predictive Maintenance for Increasing EV Charging Load in Distribution Power System", 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) [pdf]

7/23/20   New paper: "Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey", IEEE Transactions on Intelligent Transportation Systems [pdf]

6/23/20   Second place in the AI City Challenge 2020 - Traffic Anomaly Detection Track! Congratulations to Keval! [link]

6/3/20   One paper accepted to ICML 2020: "A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change" [pdf]

4/18/20   One paper accepted to CVPR 2020 - AI City Workshop: "Fast Unsupervised Anomaly Detection in Traffic Videos" [pdf]

4/15/20   One paper accepted to CVPR 2020 - Workshop on Continual Learning in Computer Vision: "Continual Learning for Anomaly Detection in Surveillance Videos" [pdf]

4/4/20   One paper accepted to CVPR 2020 - Visual Learning with Limited Labels Workshop: "Any-Shot Sequential Anomaly Detection in Surveillance Videos" [pdf]

4/1/20   New grant from DOT for our project "Autonomous Track Inspection System based on Passive Sensing and Anomaly Detection"

3/31/20   New grant from Cyber Florida for our project "Online Learning and Visualization for Intrusion Detection and Prevention in Privacy-Enhanced IoT Networks"

1/21/20   New paper: "Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings", IEEE Transactions on Pattern Analysis and Machine Intelligence [pdf]

9/29/19   New paper: "Sequential Model-Free Anomaly Detection for Big Data Streams" , 57th Annual Allerton Conference on Communication, Control, and Computing [pdf]

9/20/19   Best short paper honorable mention award from the RecSys 2019 conference! [link]

9/9/19   New paper: "Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency Requirements" , IEEE Access [pdf]

8/20/19   New paper: "Scenario Planning for Sea Level Rise via Reinforcement Learning" , IEEE Global Conference on Signal and Information Processing (GlobalSIP) [pdf] Congratulations to Salman for his first publication!

8/20/19   New paper: "Dynamic Network Slicing for Fog Radio Access Networks" , IEEE Global Conference on Signal and Information Processing (GlobalSIP) [pdf]

8/8/19   New paper: "A Probabilistic Framework to Incorporate Mixed-Data Type Features: Matrix Factorization with Multimodal Side Information" , Neurocomputing [pdf]

7/30/19   New paper: "Online Anomaly Detection in Multivariate Settings" , IEEE International Workshop on Machine Learning for Signal Processing (MLSP) [pdf]

7/5/19   New paper: "Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids" , IEEE Transactions on Information Forensics and Security [pdf]

6/25/19   New paper: "Quick and Accurate Attack Detection in Recommender Systems through User Attributes" , ACM Conference on Recommender Systems [pdf]

5/15/19   We are now soliciting papers for the GlobalSIP 2019 Symposium SIGNAL PROCESSING AND MACHINE LEARNING FOR SOCIAL GOOD.

5/13/19   New paper: "RAPID: Real-time Anomaly-based Preventive Intrusion Detection", ACM Workshop on Wireless Security and Machine Learning (WiseML 2019) [pdf]. Congratulations to Keval and Mahsa for their first publications!

5/13/19   Invited talk at the ACM Workshop on Wireless Security and Machine Learning (WiseML 2019): "Quick and Accurate Detection and Mitigation of IoT-Empowered Cyberattacks"

2/21/19   New paper: "Feature Selection in Gait Classification of Leg Length and Distal Mass", Informatics in Medicine Unlocked [pdf]

2/11/19   New paper: "Timely Detection and Mitigation of IoT-based Cyberattacks in the Smart Grid", Journal of the Franklin Institute [pdf]

2/5/19   New paper at ICC 2019: "Resource Allocation in Fog RAN for Heterogeneous IoT Environments based on Reinforcement Learning". Congratulations to Almuthanna for his first publication! [pdf]

2/5/19   New paper at ICASSP 2019: "Latent Heterogeneous Multilayer Community Detection". [pdf]

1/10/19   New paper at the IEEE Transactions on Signal Processing: "Anomaly Detection in Partially Observed Traffic Networks". [pdf]

12/15/18   Dr. Kevin Wang has presented our interdisciplinary work "Big Data Analytics and Crimes in the Community" at the 2018 Meeting of The American Society of Criminology. [slides]

12/5/18  Dr. Yilmaz is serving as Industry Presentation Co-chair for the IEEE Globecom 2020

11/7/18  Dr. Yilmaz gave an invited talk titled "Scenario Planning for Sea Level Rise via Markov Decision Processes" at the Allerton Conference on Communication, Control, and Computing [slides]

9/12/18   Congratulations to Ammar for his first publication! His paper will appear at the 21st IEEE International Conference on Intelligent Transportation Systems. [pdf]

8/30/18   Our paper "Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid" is accepted for publication at the IEEE Transactions on Information Forensics and Security [pdf]

4/3/18   Congratulations to Keval for winning two awards at the Hack-A-Bull hackathon!

3/26/18   The project website for our work Scenario Planning for Sea Level Rise in Tampa Bay is up and running: https://sites.google.com/site/nsfsccsealevelrise/

3/26/18   We are presenting our progress and demoing the first version of our Game of Sea Level Rise at the NSF S&CC PI meeting co-located with the Smart Cities Connect Conference and US Ignite Application Summit. See our project website for more information.

2/5/18   Our paper "Distributed Quickest Detection of Cyber-Attacks in Smart Grid" is accepted for publication at the IEEE Transactions on Information Forensics and Security [pdf]

2/3/18   Our paper "Distributed Dynamic State Estimation and LQG Control in Resource-Constrained Networks" is accepted for publication at the IEEE Transactions on Signal and Information Processing over Networks [pdf]

2/1/18  Dr. Yilmaz is serving as a guest editor for the special issue on AI-Enabled Cognitive Communications and Networking for IoT at the IEEE Internet of Things Journal

1/25/18  Deadline extended to 2/23/18 for the special issue on Machine Intelligence and Cyber Security for Cognitive Internet of Things [pdf]

12/10/17  Dr. Yilmaz is serving as a technical program committee member for the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2018

11/2/17  Dr. Yilmaz gave an invited talk titled "Nonparametric Sequential Change Detection for High-Dimensional Problems" at the Allerton Conference on Communication, Control, and Computing [slides]

10/26/17  Dr. Yilmaz is serving as a technical program committee member for the Data Analytics for Cyber Security Workshop [pdf]

10/10/17   Our paper "Mitigating IoT-based Cyberattacks on the Smart Grid" will appear at ICMLA 2017 [pdf][slides]

9/25/17  Interview with TAF Network (in Turkish)

8/26/17   New grant from NSF for our project "Agent-based Scenario Planning for a Smart & Connected Community against Sea Level Rise in Tampa Bay" [link]

8/10/17   Dr. Yilmaz is serving as guest editor for the special issue on Machine Intelligence and Cyber Security for Cognitive Internet of Things [pdf]

7/13/17   Dr. Yilmaz is serving as vice chair of the Special Interest Group on AI Embedded Cognitive Networks

7/2/17   New grant from SCEEE for our work "Online Nonparametric Cyber Attack Detection"

6/26/17  Interview at Envision Magazine about our cybersecurity research

5/22/17   Our paper "Online Nonparametric Anomaly Detection based on Geometric Entropy Minimization" will appear at ISIT 2017 [pdf]