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.