IEEE Lebanon Section

Join IEEE

IEEE Lebanon Section

Join IEEE

IEEE-Lb1Welcome to the IEEE Lebanon Section website, one of the most active sections in the world. We are always looking for volunteers to join and for great organizations to partner with. Join us to make a difference!

Our Mission & Vision:

IEEE Lebanon Section,’s core purpose is to foster technological innovation and excellence for the benefit of humanity. it will be essential to the local technical community and to technical professionals in Lebanon, and be universally recognized for the contributions of technology and of technical professionals in improving local conditions.

Upcoming Events

Sep
27
Sun
3:00 pm ComSoc vDL talk: Wireless System...
ComSoc vDL talk: Wireless System...
Sep 27 @ 3:00 pm – 4:30 pm
Dear IEEE Lebanon section members, On behalf of the ComSoc EMEA Region Board, and in the framework of the IEEE ComSoc vDL program, you’re cordially invited to attend the virtual lecture given by Prof. Ekram Hossain and organized by the IEEE ComSoc Jordan Chapter during the chapter annual congress. The talk is open to everyone. Speaker: Ekram Hossain Title:Wireless Systems Design in the Beyond 5G Era: Promises of Deep Learning and Deep Reinforcement Learning Date: Sunday, on the 27th Sept. 2020 at 15.00-16.30 GMT Registration link: https://events.vtools.ieee.org/event/register/240531 Abstract of the talk Optimal resource allocation is a fundamental challenge for dense and heterogeneous wireless networks with massive wireless connections. Because of the non-convex nature of the optimization problems, often it is computationally demanding to obtain the optimal resource allocation. Machine learning, especially Deep learning (DL), is a powerful tool where a multi-layer neural network can be trained to model a resource management algorithm using network data. Therefore, resource allocation decisions can be obtained without intensive online computations which would be required otherwise for the solution of resource allocation problems. Recently, deep reinforcement learning (DRL) has emerged as a promising technique in solving non-convex optimization problems. Unlike deep learning (DL), DRL does not require any optimal/near-optimal training dataset which is either unavailable or computationally expensive in generating synthetic data. In this talk, I shall present a novel centralized DRL-based downlink power allocation scheme for a multi-cell system intending to maximize the total network throughput. Specifically, I shall discuss a deep Q-learning (DQL) approach to achieve near-optimal power allocation policy. I shall present some simulation results to compare the proposed DRL-based power allocation scheme with the conventional schemes in a multi-cell scenario.
Sep
28
Mon
6:00 pm Webinar on Power Electronics DC-...
Webinar on Power Electronics DC-...
Sep 28 @ 6:00 pm – 7:00 pm
Dear Colleagues, IEEE Lebanon IE13-PE31-CAS04-PEL35 Joint Chapter technically sponsors the Lecture on “Power Electronics DC-to-DC Unidirectional Converters in EVs and Renewables” by Prof. Sanjeevikumar Padmanaban. and organized by IEEE IAS Education Webinar Series. Date and Time: Monday 28 September at 6:00 pm (Lebanon). Duration: 1 hour. Registration is required to join this event. For that, use the link below to register for this event. https://ieeemeetings.webex.com/ieeemeetings/onstage/g.php?MTID=ea222e178312f78780bcd1e4b01c2660e Description The electric vehicles (EVs) and microgrid companies in the global market focus towards the recent technologies, in particular to the development of power electronics converters. As they are a cost-effective solution for ‘Eco’ friendly, free of emission and high-power capacity are the inherent benefits by adapting into the real world. The DC-DC boost power converters play a crucial influence in enhancing the fuel cell stack power through voltage conversion and for adapting more renewable in applications. This presentation will be delivering the original development from the research with the unidirectional non-isolated DC-DC Power Converter (MPC) configuration for renewable energy adaption and EVs. – Configurations are based on cost-effective passive component, added to the power circuitry. – We are maximizing the output voltage through single-or multistage with few semiconductor devices. Biography Sanjeevikumar Padmanaban (Member’12–Senior Member’15, IEEE) received the bachelor’s degree in electrical engineering from the University of Madras, Chennai, India, in 2002, the master’s degree (Hons.) in electrical engineering from Pondicherry University, Puducherry, India, in 2006, and the PhD degree in electrical engineering from the University of Bologna, Bologna, Italy, in 2012. He was an Associate Professor with VIT University, India, and University of Johannesburg, South Africa. Since 2018, he has been a Faculty Member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark. He was a visiting researcher with the Department of Electrical Engineering, Qatar University, Doha, Qatar, and Dublin Institute of Technology, Dublin, Ireland, in 2014. He has authored/co-authored more than 300 scientific papers. Padmanaban was the recipient of the best paper award from IET-SEISCON’13, IET-CEAT’16, IEEE-EECSI’19, IEEE-CENCON’19 and five best paper awards from ETAEERE’16. He is a Fellow of the Institution of Engineers, India, the Institution of Electronics and Telecommunication Engineers, India, and the Institution of Engineering and Technology, U.K. He has published/ in the press 10+ books related to power converters, and renewable energy system, Electrical Vehicles, Microgrid and technologies, and applying artificial intelligence in the field of power electronics. He is an Editor/Associate Editor/Editorial Board for refereed journals, in particular the IEEE SYSTEMS JOURNAL, IEEE Transaction on Industry Applications, IEEE ACCESS, IET Power Electronics, IET Electronics Letters, and Wiley-International Transactions on Electrical Energy Systems, and the Subject Editor for the IET Renewable Power Generation, IET Generation, Transmission and Distribution, and FACETS Journal (Canada). Lebanon Section Jt. Chapter, IE13/PE31/CAS04/PEL35 : http://ewh.ieee.org/r8/lebanon/

Let's stay connected

Staying connected is more important than ever. Connect and build your network with other technical professionals and innovators.