Assoc Prof Dr. Saeed Emami | Network Optimization | Best Researcher Award

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Assoc Prof Dr. Saeed Emami | Network Optimization | Best Researcher Award

Prof Dr. Saeed Emami, Babol Noshirvani University of Technology, Iran

Dr. Saeed Emami is an Associate Professor in the Department of Industrial Engineering at Babol Noshirvani University of Technology, Iran. He received his Ph.D. in Industrial Engineering from Isfahan University of Technology in 2015, focusing on order acceptance and scheduling problems in make-to-order systems. With a strong background in optimization and uncertainty, his research interests span various areas, including robust optimization, production planning, facility planning, and supply chain management. As Vice-Chancellor of the Faculty of Materials and Industrial Engineering since January 2020, he plays a key role in academic leadership. With a wealth of teaching experience in engineering courses, he also serves as a supervisor and advisor for numerous master’s theses, addressing diverse topics such as healthcare scheduling, cloud manufacturing, and green supply chain planning. Emami’s contributions extend to the development and application of metaheuristic algorithms, simulation, and multi-criteria decision-making in industrial engineering.

🌐 Professional Profiles : 

Google Scholar

Scopus

Orcid

🎓 Education:

    • Ph.D. in Industrial Engineering, Isfahan University of Technology, Iran (2015)
    • M.S. in Industrial Engineering, Isfahan University of Technology, Iran (2008)
    • B.S. in Industrial Engineering, Isfahan University of Technology, Iran (2004)

📚 Teaching Experience:

  • Courses at Babol Noshirvani University of Technology since 2010
    • Engineering Economy, Probability theory, Statistics
    • Computer Applications in Industrial Engineering, Production planning
    • Linear algebra, Simulation, Decision analysis
    • Inventory control, Decision making in healthcare systems
    • Computer simulation, modeling, and optimization, Combinatorial optimization

🏭 Work Experience:

  • Current Position: Associate Professor at Babol Noshirvani University of Technology (since Sep 2015)
  • Supervisor of Master Theses: Diverse topics in Industrial Engineering, including nurse scheduling in the Covid-19 pandemic and integrated production and distribution planning in a green closed-loop supply chain.
  • Advisor of Master Theses: Covering areas like home health care service planning, flexible flow shop scheduling, order acceptance in make-to-order systems, and more.

🧠 Research Interests:

Dr. Saeed Emami, an accomplished Associate Professor at Babol Noshirvani University of Technology, is deeply immersed in the realms of industrial engineering. His intellectual pursuits span a diverse spectrum, from the intricacies of optimization and robust techniques to the art of decomposition algorithms like Benders and Lagrangian relaxation. With a keen focus on production planning, scheduling, and facility planning, he navigates the complexities of supply chain management, employing metaheuristic algorithms such as Nested Partition and Genetic approaches. Dr. Emami’s academic canvas is further enriched by his exploration of simulation methodologies and the nuanced landscape of multi-criteria decision making. 🌐📊

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 19 documents indexed in Scopus.
  • 📊 Citations: A total of 345 citations for his publications, reflecting the widespread impact and recognition of Dr. Saeed Emami’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 471 📖
    • h-index: 9 📊
    • i10-index: 9 🔍
  • Since 2018:
    • Citations: 417 📖
    • h-index: 8 📊
    • i10-index: 8 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes  :

  1. Multi-objective Fuzzy Robust Optimization Approach to Sustainable Closed-Loop Supply Chain Network Design
    • Authors: S Nayeri, MM Paydar, E Asadi-Gangeraj, S Emami
    • Published Year: 2020
    • Journal: Computers & Industrial Engineering
    • Cited By: 141
  2. Managing a new multi-objective model for the dynamic facility layout problem
    • Authors: S Emami, AS Nookabadi
    • Published Year: 2013
    • Journal: International Journal of Advanced Manufacturing Technology
    • Cited By: 82
  3. Wheat sustainable supply chain network design with forecasted demand by simulation
    • Authors: F Motevalli-Taher, MM Paydar, S Emami
    • Published Year: 2020
    • Journal: Computers and Electronics in Agriculture
    • Cited By: 55
  4. A Benders decomposition approach for order acceptance and scheduling problem: a robust optimization approach
    • Authors: S Emami, G Moslehi, M Sabbagh
    • Published Year: 2017
    • Journal: Computational and Applied Mathematics
    • Cited By: 37
  5. Metaheuristic algorithms to allocate and schedule of the rescue units in the natural disaster with fatigue effect
    • Authors: S Nayeri, E Asadi-Gangraj, S Emami
    • Published Year: 2019
    • Journal: Neural Computing and Applications
    • Cited By: 30

 

 

 

 

 

 

Ms. Faranak Khosravi | Optical Network | Best Researcher Award

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Ms. Faranak Khosravi | Optical Network | Best Researcher Award

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 brings a wealth of experience and expertise to her roles, showcasing a dynamic professional journey. 🌐 Currently serving as a Research and Teacher Assistant at the University of Texas at San Antonio since January 2021, she not only imparts knowledge through courses like Math in Signal and Network Theory but also actively contributes to research in Optical Network and Software-Defined Network (SDN). 🎓 Her internship at HDR, Inc. as a Low Voltage and Security Designer Intern from May to August 2023 further enriched her skill set, where she developed design narratives, specifications, and drawings using Revit, alongside providing crucial construction administration services. 💻 Ms. Khosravi’s extensive teaching background as a Lecturer at Kharazmi College of Shahreza in Iran and Sepahan Institute of Higher Education underscores her dedication to education. 📚 From teaching electrical circuits and C++ programming language to supervising undergraduate final projects, she has made a significant impact on her students’ academic journeys. 🧑‍🏫 Her earlier experience as an Electrical Engineer at Mehrtash Company in Iran showcased her prowess in network design and management, emphasizing LAN network installation, UPS backup solutions, and the implementation of SNMP protocol for monitoring systems. ⚙️ Ms. Khosravi’s multifaceted career reflects her commitment to education, research, and practical application of engineering solutions.

💻 Skills :

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.

 

 

 

 

Mrs. Mahdieh Ghasemlou | Network Optimization | Best Researcher Award

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Mrs. Mahdieh Ghasemlou | Network Optimization | Best Researcher Award

Mrs. Mahdieh Ghasemlou, University of Birjand, Iran

👩‍🎓 Mrs. Mahdieh Ghasemlou is a Ph.D. student in Electrical Engineering-Communications Technology at the University of Birjand, Iran, embarking on a scholarly journey with a focus on “NOMA multi-user transceivers for 5G mobile communication networks.” 🌐 Under the guidance of mentors Dr. Nasser Neda and Dr. Jalil Seifali Harsini, her dedication to advancing knowledge in electrical engineering is evident. 🚀 Prior to her Ph.D., Mahdieh achieved a Master of Science in Electrical Engineering-Communications from the Islamic Azad University Tehran South branch in Tehran, Iran. 📚 Her academic commitment extends to cutting-edge areas like NOMA and 5G communication networks. 💡 As a devoted researcher, Mahdieh explores a diverse spectrum of wireless communications, including ultra-wideband (UWB) techniques for ranging and localization, signal processing innovations, and resource management strategies in NOMA systems. 📡 Her multifaceted expertise significantly contributes to the dynamic evolution of wireless technologies. 🌟

🎓 Education : 

🎓 Mrs. Mahdieh Ghasemlou is currently on a scholarly pursuit as a Ph.D. student in Electrical Engineering-Communications Technology at the University of Birjand, Iran. 🌐 Her doctoral thesis, titled “NOMA multi-user transceivers for 5G mobile communication networks,” is under the supervision of esteemed mentors Dr. Nasser Neda and Dr. Jalil Seifali Harsini. 📚 Prior to her Ph.D., Mahdieh earned a Master of Science in Electrical Engineering-Communications from the Islamic Azad University Tehran South branch in Tehran, Iran, in February 2013. 🚀 Her academic journey reflects a deep commitment to advancing knowledge in the field of electrical engineering, particularly in cutting-edge areas like NOMA and 5G communication networks. 📡💡

🌐 Professional Profiles : 

Google Scholar

🧠 Research Interests 🔬🌐 :

📡 Mrs. Mahdieh Ghasemlou is a dedicated researcher with a broad spectrum of interests spanning the dynamic field of wireless communications. 🌐 Her expertise encompasses ultra-wideband (UWB) communications, where she explores advanced techniques for ranging and localization. 📶💬 Mahdieh’s proficiency extends to signal processing, delving into innovative approaches to enhance communication systems. 💡 Moreover, her research interests include NOMA systems (Non-Orthogonal Multiple Access), focusing on optimizing resource management strategies for improved efficiency and performance. 🚀 With a diverse range of interests, Mahdieh contributes significantly to the evolving landscape of wireless technologies and signal processing. 🌟

Publications Top Notes  :

1.  An improved method for TOA estimation in TH-UWB system considering multipath effects and interference

Publication Source: JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST) 2 (15), 23-29

Year: 2014, Cited By: 2

2.  A New Method of TOA Estimation in TH_UWB Systems with Multipath Channel and in the Presence of interference

Publication Source: IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING 21, 1-6

Year: 2013, Cited By: 1