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Nariman Torkzaban

Graduate Research Assistant

University of Maryland, College Park

Biography

I am a second-year Ph.D. student in Electrical Engineering/Communications in the ECE Department at the University of Maryland, College Park(UMD). I am also a Graduate Research Assistant (GRA) at the Institute for Systems Research (ISR) under the supervision of Dr. John S. Baras. I took my MSc degree in Telecommunications from UMD as well as a BS degree in Electrical Engineering from Sharif University of Technology, Tehran, Iran. I also hold a minor in Mathematics from Sharif University.

My research area mainly involves the management of Centralized/Distributed Systems, Wired/ Wireless Communication Networks, and Software-Defined Networks, using a wide range of Algorithm Design techniques, various Machine Learning based methods, and different Optimization principles.

Interests

  • Cross-Layer Network Design
  • Resource Allocation Over Communication Networks
  • Software-Defined Networks (SDN)
  • Network Function Virtualization (NFV)
  • Integrated Space-Air-Ground Networks
  • Network Security and Trust

Education

  • PhD in Electrical Engineering, 2023 (Expected)

    University of Maryland, College Park

  • MSc in Telecommunications Engineering, 2019

    University of Maryland, College Park

  • BSc in Electrical Engineering, 2017

    Sharif University of Technology, Tehran

Experience

 
 
 
 
 

Teaching Assistant

University of Maryland, College Park

Dec 2018 – Dec 2019 Maryland
Main Subjects:

  • Graduate Course: ENEE620- Random Processes for Communications and Controls
  • Graduate Course: ENTS656- Introduction to Cellular Communications Systems
 
 
 
 
 

Software Engineering Interm

Steer-Tech

Jul 2018 – Aug 2019 Maryland
Main Projects:

  • Server-Client-Database Architecture Development: Designed an architecture for reading/writing binary and non-binary data from/to server/database (C/C++, JavaScript, HTML, CSS)
  • Middle-ware Client Improvement: Improved the client side of a middle-ware in order to be able to maintain/reconnect the communication with the server without crashing in a non-blocking mode (C/C++)
  • Designing a Data Visualization Tool: Designed a visualizer to mark the service data using Google API
 
 
 
 
 

Research Assistant

Institute for Systems Research

Jan 2018 – Present Maryland
Main Research Areas:

  • Network Intrusion Detection using Machine Learning
  • Satellite-Enabled and Unmanned Aerial Vehicle (UAV)-Enabled Networks
  • Software-Defined Networking (SDN) and Network Function Virtualization (NFV)

Honors & Awards

Honored by the Director’s Choice for Scholarly Excellence award

University of Maryland, College Park Feb 2019

Honored by the National Elite Foundation Fellowship

Shrif University of Technology Aug 2012 – Jun 2017

Ranked 19th among 300,000 applicants for admission to BSC programs

Sharif University Technology Jul 2012

Ranked 3rd among more than 200,000 applicants for admission to AZAD BSC programs

Sharif University Technology Jul 2012

Projects

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All Satellite-Enabled Integrated Networks UAV-Enabled Integrated Networks SDN/NFV Network Security

Joint Satellite Gateway Placement and Routing in Integrated Satellite-Terrestrial Networks

Abstract: With the increasing attention to the integrated satellite-terrestrial networks (ISTNs), the satellite gateway placement problem becomes of paramount importance. The resulting network performance may vary depending on the different design strategies. In this paper, a joint satellite gateway placement and routing strategy for the terrestrial network is proposed to minimize the overall cost of gateway deployment and traffic routing, while adhering to the average delay requirement for traffic demands. Although traffic routing and gateway placement can be solved independently, the dependence between the routing decisions for different demands makes it more realistic to solve an aggregated model instead.
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Mobility-Aware UAV Placement and Route Optimization for MANETs

Abstract: Unmanned Aerial Vehicles (UAVs) have been extensively utilized to provide wireless connectivity in infrastructure-free areas, enhance network capacity and provide support for peaks or unexpected surges in user demand, mainly due to their fast deployment, cost-efficiency and superior communication performance resulting from Line of Site (LoS)-dominated channels. In order to exploit the benefits of UAVs as base stations or relays in a mobile ad hoc network, a major challenge is to determine the optimal UAV placement and relocation strategy with respect to the mobility and traffic patterns of the ground network nodes.

Trust-Aware Service Chain Embedding

Abstract: Network function virtualization (NFV) decouples network functions (NFs) from dedicated hardware, leading to significant cost reduction in network service provisioning. With NFV, a network service is represented by a series of inter-connected virtual network functions (VNFs), forming a service function chain (SFC). The problem of placing the VNFs on the NFV infrastructure (NFVI) and establishing the routing paths between them, according to the service chain template, is termed as SFC embedding.
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Network Intrusion Detection using ML-based techniques

Recent Publications

Joint Satellite Gateway Placement and Routing in Integrated Satellite-Terrestrial Networks
Nariman Torkzaban, Anousheh Gholami, Chrysa Papagianni, John S. Baras
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Mobility-Aware UAV Placement and Route Optimization for MANETs
Anousheh Gholami, Nariman Torkzaban, Chrysa Papagianni, John S. Baras
Trust-Aware Service Chain Embedding
Nariman Torkzaban, Chrysa Papagianni, John S. Baras
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