Ms. Faranak Khosravi, University of Texas at San Antonio, United States

Ms. Faranak Khosravi is a visionary Doctor of Philosophy student in Electrical Engineering at the University of Texas at San Antonio, set to graduate in May 2024. Her groundbreaking research centers around crafting an innovative structure for Reconfigurable Optical Add-Drop Multiplexers (ROADM) tailored for elastic optical networks (EON). Proficient in Software-Defined Networking (SDN) and Linux, she employs her expertise to elevate network functionalities. Ms. Khosravi explores the multidisciplinary realm of Machine Learning to predict EON traffic, exemplifying a holistic approach to contemporary communication challenges. With a Master’s in Communications and Network Engineering from the University Putra Malaysia (UPM), she significantly contributed to enhancing Three-Level Code Division Multiplexing in Optical Fiber Communication Systems. Her dynamic professional journey includes roles as a Research and Teacher Assistant, Low Voltage and Security Designer Intern at HDR, Inc., and a Lecturer in Iran, showcasing her commitment to education and practical applications of engineering solutions. Possessing a diverse skill set from Python to Cisco, Ms. Khosravi is adept at scientific applications and office tools, making her a versatile problem solver in both technical and administrative domains. Her research passions lie in Optical Network and Network Optimization, emphasizing her dedication to shaping the future of cutting-edge network technologies.

 Education :

Ms. Faranak Khosravi is a forward-thinking Doctor of Philosophy student in Electrical Engineering at the University of Texas at San Antonio, with an expected graduation in May 2024. Her research focuses on designing a novel structure for Reconfigurable Optical Add-Drop Multiplexers (ROADM) tailored for application in elastic optical networks (EON). Proficient in Software-Defined Networking (SDN) and Linux, she leverages her expertise to enhance network functionalities. Additionally, Ms. Khosravi explores the application of Machine Learning to predict network traffic within the EON, showcasing a multidisciplinary approach to addressing modern communication challenges. Her earlier academic achievement includes a Master of Science in Communications and Network Engineering System from the University Putra Malaysia (UPM), where she contributed to the improvement of Three-Level Code Division Multiplexing in Optical Fiber Communication Systems. Ms. Khosravi’s academic journey reflects her commitment to advancing communication technologies through innovative research and interdisciplinary collaboration.

 Professional Profiles :

Scopus

Work Experience :

Ms. Faranak Khosravi boasts a diverse skill set, combining technical prowess with proficiency in scientific applications and office tools. Her technical acumen spans Python, MATLAB, Linux, C++ programming, and expertise in scientific software such as OptiSystem. Additionally, she navigates seamlessly through Cisco, Solar Winds, Zabbix, and demonstrates familiarity with Machine Learning, showcasing a holistic understanding of networking technologies. Ms. Khosravi’s proficiency extends to office applications, including Microsoft PowerPoint, Excel, Word, and Visio, along with Bluebeam for effective documentation and visualization. Her comprehensive skill repertoire underscores her versatility and readiness to tackle challenges in both technical and administrative domains.

Research Interests :

Ms. Faranak Khosravi’s research passions converge at the intersection of Optical Network and Network Optimization, where she delves into the intricacies of enhancing communication infrastructures. Her keen interest in these fields reflects a commitment to advancing the efficiency and performance of networks, shaping the future landscape of optical communication with a focus on optimization strategies. Ms. Khosravi’s endeavors underscore her dedication to pioneering solutions that contribute to the evolution of cutting-edge network technologies.

Publications Top Notes  :

1.  Implementation of an Elastic Reconfigurable Optical Add/Drop Multiplexer based on Subcarriers for Application in Optical Multichannel Networks

Published: 2022 International Conference on Electronics, Information, and Communication, ICEIC 2022

Cited by 9 articles

Conference Paper on the implementation of an Elastic ROADM for Optical Multichannel Networks.

2.  Improvement of Three-Level Code Division Multiplexing via Dispersion Mapping

Published: Telecommunication Systems, 2016, 61(4), pp. 887–895

Cited by 2 articles

Open access article focusing on enhancing the performance of three-level code division multiplexing through dispersion mapping.

3.  Development of Three-Level Code Division Multiplexing over Wavelength Division Multiplexing

Published: Proceedings of ICP 2014 – 5th International Conference on Photonics 2014, 2015, pp. 217–219, 7002360

Conference paper discussing the development of three-level code division multiplexing over wavelength division multiplexing.

4.  Improving the Performance of Three-Level Code Division Multiplexing using the Optimization of Signal Level Spacing

Published: Optik, 2014, 125(18), pp. 5037–5040

Cited by 14 articles

Open access article focusing on optimizing signal level spacing for enhanced performance of three-level code division multiplexing.

5.  Investigation of Three-Level Code Division Multiplexing Performance over High-Speed Optical Fiber Communication System

Published: 4th International Conference on Photonics, ICP 2013 – Conference Proceeding, 2013, pp. 132–134, 6687091

Cited by 4 articles

Conference paper investigating the performance of three-level code division multiplexing over high-speed optical fiber communication systems.

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