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Shideh Yavary received her Ph.D. in Computer Engineering from the University of Nebraska-Lincoln (UNL) in 2022. She is currently an Assistant Visiting Professor in the Department of Computer Science at the University of Wisconsin-Milwaukee (UWM). She was the network administrator of the Ministry of Road and Transportation (MRT), Tehran, Iran, from 1999 to 2007. At MRT, she was instrumental in leading the networking and wireless operations and responsible for design, development, consulting, and training services in 4G/LTE and multi-gigabit wireless technologies.
Her research philosophy is grounded in the fact that application-centric networks resulting from seamless collaboration between the application layer and network layer have a marked impact on network management, security, policy frameworks, network services, and big data analytics. Importantly, she focuses on cross-layer approaches to optimize and secure networks rather than layer-3 approaches that are unaware of the applications’ service and resource requirements. Thus, her research seeks to uncover application-aware networking and its impact on security, service differentiation, and efficient data transfers in distributed data-intensive applications.
Among her other accolades, she was the recipient of the Outstanding Graduate Student Teaching Award the 2019, 2020, and 2022; UNL. Also, she won first place at a math competition in 1996.
She has served as a reviewer for leading conferences such as IEEE/ANTS proceeding on Networking, Computer Networks, and Metropolitan Local Area Networks. She is currently a TPC member of the IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS).
Prof. Yavary was the recipient of the 2022 IEEE ANTS Best Paper award, and of the 2019 IEEE ACM, CoNext the best poster award, and she was a fellow of the Preparing Future Faculty (PFF) program at UNL. Her research interests are computer networks, software-defined optical networks, network functions virtualization, cloud-native infrastructure, AI/ML applications for networking, and network security.
Her Research Interests are in:
- SDN and Programmable Networks
- SDON; Optical Network
- Network Security
- Network Virtualization
- Cloud-native Infrastructure
- Al/ML for Networks
Research Focus
- Network Intelligence through Application-awareness
Publications
- V. Kumar, S. Yavary Mehr. ”Enhancing Electronic Design Automation Tools with an ML-Based Information Retrieval
System”, International Journal of Intelligent Information Systems (IJIISS), May 2024, accepted.
• D. Jigneshkumar Ka Patel, S. Yavary Mehr, ”An Interactive Platform with an Automated Chatbot and AI-Driven Innovation in Recipe Searching”, American Journal of Mathematical and Computer Modelling (AJMCM)) Journal, May
2024, accepted. - A. Dasgupta, S. Yavary Mehr. “Enhanced MNB Method for SPAM E-mail/SMS Text Detection Using TF-IDF Vectorizer “, American Journal of Mathematical and Computer Modelling (AJMCM), April 2024.
- S. Yavary Mehr, B. Ramamurthy. ”Protection Techniques using Resource Delayed Release for SDN-based OTN over WDM Networks – ScienceDirect”, Optical Switching and Networking, (OSN) Journal, September 2023.
- S. Yavary Mehr, B. Ramamurthy.” Hierarchical Classic Controllers (HCC) with an Enhanced SVM Method for DDoS Attack Detection in SDN | IEEE Conference Publication | IEEE Xplore”, Best paper award, Proceedings of the 16th International Conference on Advanced Networks and Telecommunications Systems, IEEE ANTS. IEEE, 2022.
- S. Yavary Mehr, B. Ramamurthy, Y. Zhou, B. Guo, S. Huang” Performance of resource delayed release strategy in software-defined OTN over WDM networks for uniform and non-uniform traffic””, Optical Switching and Networking, (OSN) Journal, accepted.
- S. Yavary Mehr, B. Ramamurthy, ”Protection Techniques For Wavelength Division Multiplexing Networks using Resource Delayed Release Strategy”, 2021 International Conference on Computer Communications and Networks (ICCCN)IEEE, 2021.
- S. Yavary Mehr, B. Ramamurthy. ”An SVM Based DDoS Attack Detection Method for Ryu SDN Controller”, Best poster award, Proceedings of the 15th international conference on emerging networking experiments and technologies, IEEE ACM CoNext, International Conference on. IEEE, 2019.
- S. Yavary Mehr, B. Ramamurthy, “A machine learning (ANN) approach for Failure Prediction in SDN over WDM Networks“; Nebraska Academy of Sciences, April 2020.
- S. Yavary Mehr, B. Ramamurthy, “Dynamic Service Provisioning Of Non-Uniform Traffic In SDN Enabled OTN Over WDM Networks” ; Nebraska Academy of Sciences, April 2021.
Technical Program Committee (TPC)
- TPC Member for the 18th IEEE International Conference on Advanced Networks and Telecommunications Systems (IEEE ANTS 2024).
• TPC member (TPC) for CICN 2024 (16th IEEE International Conference on Computational Intelligence and Communication Networks 2024).
• TPC Member for the 13th IEEE International Conference on Communication Systems and Network Technologies (2024 CSNT). - 17th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 18-21 December 2023, Gujarat, India.
Teaching Record
Dr. Yavary’s courses in the Department of Computer and Science at UWM enhance learning by integrating theory and practical aspects of computer networking, computing, and network security in the classroom.
• NEW COURSE: Parallel and Distributed DataBase (Summer 2023).
• NEW COURSE: DataBase Security (CS657, Fall2022); Developed
• NEW COURSE: Software Defined Networks; Developing a new Graduate/undergraduate course on software-defined and programmable networks (Spring 2024).
Since she arrived at Milwaukee University in 2022, she has taught the following courses
Course Code | Class Size | Course Name | Class Term |
ComPSCI 790 | 40 | Database Security | Fall2022 |
ComPSCI 458G | 50 | Computer Architecture | Fall2022 |
ComPSCI 790 | 50 | Network Security | Spring2023 |
ComPSCI 537G | 45 | Operating System | Fall2023 |
COMPSCI 657/790 | 20 | Software Defined Networking | Spring2024 |
Students
Master’s Capstone Project Supervisor
Name | Topic | Term |
Preetham Konduri | Deep Learning Model for Early Detection of Breast Cancer | Spring2023 |
Valley Ajaykumar Patel | Credit Card Fraud Detection | Spring2023 |
Ali Rabiei | Machine Learning Model for Internet Congestion Detection | Spring2023 |
Anoushka Dasgupta | Phishing Attack Detection Using SVM Method | Fall2023 |
Suswara Tarang Kanneboyina | Spam Email Detection Using Naive Bayes Algorithm | Fall2023 |
Sai Chandan Regonda | Extreme Gradient Boost–Based Model for Heart Disease Estimation | Fall2023 |
Sahil Zaveri | Business Management System | Fall2023 |
Tharan Bala | Enhanced Help Desk Chabtot using Conversational AI with RASA for UWM |
Spring2024 |
Vikash Kumar | Enhancing Electronic Design Automation Tools with an ML-Based Information Retrieval System | Spring2024 |
Sarath Chandra Pratapagir | Attack Detection in IoT Devices Using Decision Tree and Random Forest Methods | Spring2024 |
Deep Jigneshkumar Ka Patel | Hunger’s Heaven: An Interactive Platform with Automated Chatbot for Recipe Searching | Spring2024 |