Shideh Yavary Mehr’s Homepage

Ever-changing. Ever-expanding.
Knowledge is the most significant power that humans possess.
If you can believe it, your mind can achieve it.

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

Technical Program Committee (TPC)

  • 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

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 BoostBased Model for Heart Disease Estimation Fall2023
Sahil Zaveri Business Management System Fall2023