BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Jerusalem BEGIN:DAYLIGHT DTSTART:20250328T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=-1FR;BYMONTH=3 TZNAME:IDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241027T010000 TZOFFSETFROM:+0300 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250308T164359Z UID:036991D4-4124-4482-B719-A61997ACB6C1 DTSTART;TZID=Asia/Jerusalem:20250209T110000 DTEND;TZID=Asia/Jerusalem:20250209T123000 DESCRIPTION:Optical fibre networks underpin the global communications infra structure\, carrying >95% of all digital data. These optical networks oper ate on different time- and distance-scales – spanning long-distances (tr ans-oceanic\, inter-satellite) and inter-city\, as well as interconnecting servers and GPUs within data centres. The challenge for next-generation n etworks is in making them intelligent and adaptable to changes in demand a nd applications in the future.\n\nAdvancing AI and scientific research req uires optimizing optical networks from the component through to the physic al network layer. The physical topology and nonlinear properties of the op tical fibre form a key bottleneck affecting achievable throughput in these networks. Optimising the throughput involves solving two NP-hard combinat orial optimisation problems: (i) the physical topology design problem and (ii) the routing and wavelength assignment problem by including the physic al properties in ultrawideband optical network design – through and for artificial intelligence.\n\nThis talk will consider both of these challeng es and their influence the maximum achievable throughput – a vital objec tive for the future scaling of AI algorithms.\n\nReferences:\n\n[1] R. Mat zner\, A. Ahuja\, R. Sadeghi\, M. Doherty\, S. J. Savory\, and P. Bayvel\, ‘Topology Bench: Systematic Graph Based Benchmarking for Core Optical N etworks’\, arXiv preprint arXiv:submit/5982227 (2024).\n\n[2] R. Matzner \, D. Semrau\, R. Luo\, G. Zervas\, and P. Bayvel\, ‘Making intelligent topology design choices: understanding structural and physical property pe rformance implications in optical networks [Invited]’\, Journal of Optic al Communications and Networking\, vol. 13\, no. 8\, p. D53\, Aug. 2021.\n \n[3] R. Matzner\, R. Luo\, G. Zervas\, and P. Bayvel\, ‘Expanding Graph Neural Networks for Ultra-Fast Optical Core Network Throughput Prediction to Large Node Scales’\, in European Conference on Optical Communication (ECOC 2022)\, paper We5.61\, Optica Publishing Group\, Sep. 2022\, p. We5 .61.\n\n[4] R. Matzner\, R. Luo\, G. Zervas\, and P. Bayvel\, ‘Ultra-fas t Optical Network Throughput Prediction using Graph Neural Networks’\, i n 26th International Conference on Optical Network Design and Modelling\, May 2022\, p. 3.\n\n[5] R. Matzner\, R. Luo\, G. Zervas\, and P. Bayvel\, ‘Intelligent performance inference: A graph neural network approach to m odelling maximum achievable throughput in optical networks’\, APL Machin e Learning\, vol. 1\, no. 2\, p. 026112\, May 2023.\n\nDistinguished Speak er: Prof. Polina Bayvel\n\n[]\n\nProfessor Polina Bayvel is the Head of th e [Optical Networks Group](https://www.ee.ucl.ac.uk/ong/) (Department of E lectronic & Electrical Engineering)\, UCL\, a research group she set up in 1994. Her research interests are in the area of optical communications an d networks on different time- and length scales (from trans-oceanic distan ces to intra- and inter-data centre communications and routing. This inclu des the analysis and implementation of intelligent optical networks\, wave length routing\, high-speed optical transmission\, and the study and mitig ation of optical fibre nonlinearities. Following her PhD\, she worked as a systems engineer in the STC Submarine Systems\, Greenwich (now Alcatel Su bmarine Networks) on the first amplified optical transmission and in Norte l (Harlow Labs) on optical network planning.\n\nIn 1994 she received a Roy al Society University Research fellowship and moved to UCL to set up ONG\, the first academic systems engineering group in optical networks.\n\nShe is a Fellow of the Royal Society\, Royal Academy of Engineering\, IEEE and Optica. She is the 2021 recipient (and first woman) of the Thomas Young M edal of the UK Institute of Physics and the first woman to be awarded the 2023 Royal Society Rumford Medal since it was introduced in 1800! In 2024 she received the Humboldt Foundation Research Prize.\n\nAuthor/co-author o f more than 500 refereed journal and conference papers\, she has led the U K EPSRC Programme Grant [UNLOC](https://www.unloc.net/) (2012-2018)\, focu sed on unlocking - and maximising - the capacity of optical fibre communic ations and currently leads the EPSRC Programme Grant TRANSNET (2018-2026): https://transnet.org.uk/ focused on transforming optical networks for the cloud.\n\nAgenda: \n11:00 - 11:30 התכנסות וכיבוד קל\n\n11: 30 – 12:30 הרצאה של פרופ' פולינה בייבל\n\nRoom: Le cture Hall 001\, Bldg: Broadcom Semiconductors\, Tel Aviv University\, Dr. George Wise St. 17\, Tel Aviv\, Tel Aviv District\, Israel\, 69978 LOCATION:Room: Lecture Hall 001\, Bldg: Broadcom Semiconductors\, Tel Aviv University\, Dr. George Wise St. 17\, Tel Aviv\, Tel Aviv District\, Israe l\, 69978 ORGANIZER:danmarom@mail.huji.ac.il SEQUENCE:12 SUMMARY:Special Seminar: Maximising the capacity of optical networks - how far have come and what else can we do? URL;VALUE=URI:https://events.vtools.ieee.org/m/466467 X-ALT-DESC:Description: <br /><p class="MsoNormal"><span lang="EN-US">Optic al fibre networks underpin the global communications infrastructure\, carr ying &gt\;95% of all digital data.&nbsp\; These optical networks operate o n different time- and distance-scales &ndash\; spanning long-distances (tr ans-oceanic\, inter-satellite) and inter-city\, as well as interconnecting servers and GPUs within data centres. The challenge for next-generation n etworks is in making them intelligent and adaptable to changes in demand a nd applications in the future.</span>&nbsp\;</p>\n<p class="MsoNormal">Adv ancing AI and scientific research requires optimizing optical networks fro m the component through to the physical network layer. The physical topolo gy and nonlinear properties of the optical fibre form a key bottleneck aff ecting achievable throughput in these networks. Optimising the throughput involves solving two NP-hard combinatorial optimisation problems: (i) the physical topology design problem and (ii) the routing and wavelength assig nment problem by including the physical properties in ultrawideband optica l network design &ndash\; through and for artificial intelligence.</p>\n<p class="MsoNormal">This talk will consider both of these challenges and th eir influence the maximum achievable throughput &ndash\; a vital objective for the future scaling of AI algorithms.&nbsp\;&nbsp\;</p>\n<p class="Mso Normal"><strong>References:</strong>&nbsp\;</p>\n<p class="MsoNormal">[1] R. Matzner\, A. Ahuja\, R. Sadeghi\, M. Doherty\, S. J. Savory\, and P. Ba yvel\, &lsquo\;Topology Bench: Systematic Graph Based Benchmarking for Cor e Optical Networks&rsquo\;\,&nbsp\;<em>arXiv preprint arXiv:submit/5982227 (2024).&nbsp\;</em>&nbsp\;</p>\n<p class="MsoNormal">[2] R. Matzner\, D. Semrau\, R. Luo\, G. Zervas\, and P. Bayvel\, &lsquo\;Making intelligent t opology design choices: understanding structural and physical property per formance implications in optical networks [Invited]&rsquo\;\,&nbsp\;<em>Jo urnal of Optical Communications and Networking</em>\, vol. 13\, no. 8\, p. D53\, Aug. 2021.&nbsp\;</p>\n<p class="MsoNormal">[3] R. Matzner\, R. Luo \, G. Zervas\, and P. Bayvel\, &lsquo\;Expanding Graph Neural Networks for Ultra-Fast Optical Core Network Throughput Prediction to Large Node Scale s&rsquo\;\, in&nbsp\;<em>European Conference on Optical Communication (ECO C 2022)\, paper We5.61</em>\, Optica Publishing Group\, Sep. 2022\, p. We5 .61.&nbsp\;</p>\n<p class="MsoNormal">[4] R. Matzner\, R. Luo\, G. Zervas\ , and P. Bayvel\, &lsquo\;Ultra-fast Optical Network Throughput Prediction using Graph Neural Networks&rsquo\;\, in&nbsp\;<em>26th International Con ference on Optical Network Design and Modelling</em>\, May 2022\, p. 3.&nb sp\;</p>\n<p class="MsoNormal">[5] R. Matzner\, R. Luo\, G. Zervas\, and P . Bayvel\, &lsquo\;Intelligent performance inference: A graph neural netwo rk approach to modelling maximum achievable throughput in optical networks &rsquo\;\,&nbsp\;<em>APL Machine Learning</em>\, vol. 1\, no. 2\, p. 02611 2\, May 2023.&nbsp\;</p>\n<h1 class="MsoNormal"><span style="color: rgb(23 0\, 126\, 35)\;">Distinguished Speaker: Prof. Polina Bayvel</span></h1>\n< p class="MsoNormal"><img src="https://upload.wikimedia.org/wikipedia/commo ns/1/1c/Professor_Polina_Bayvel_FREng_FRS_%28cropped%29.jpg" alt="" width= "295" height="394"></p>\n<p class="MsoNormal">Professor Polina Bayvel is t he Head of the&nbsp\;<a href="https://www.ee.ucl.ac.uk/ong/" target="_blan k" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https ://www.ee.ucl.ac.uk/ong/&amp\;source=gmail&amp\;ust=1738616102456000&amp\; usg=AOvVaw3Vmqinad9jsGJGt_23Cnv7">Optical Networks Group</a>&nbsp\;(Depart ment of Electronic &amp\; Electrical Engineering)\, UCL\, a research group she set up in 1994. Her research interests are in the area of optical com munications and networks on different time- and length scales (from trans- oceanic distances to intra- and inter-data centre communications and routi ng. This includes the analysis and implementation of intelligent optical n etworks\, wavelength routing\, high-speed optical transmission\, and the s tudy and mitigation of optical fibre nonlinearities. Following her PhD\, s he worked as a systems engineer in the STC Submarine Systems\, Greenwich ( now Alcatel Submarine Networks) on the first amplified optical transmissio n and in Nortel (Harlow Labs) on optical network planning.</p>\n<p class=" MsoNormal">In 1994 she received a Royal Society University Research fellow ship and moved to UCL to set up ONG\, the first academic systems engineeri ng group in optical networks.</p>\n<p class="MsoNormal">She is a Fellow of the Royal Society\, Royal Academy of Engineering\, IEEE and Optica. She i s the 2021 recipient (and first woman) of the Thomas Young Medal of the UK Institute of Physics and the first woman to be awarded the 2023 Royal Soc iety Rumford Medal since it was introduced in 1800! In 2024 she received t he Humboldt Foundation Research Prize.</p>\n<p class="MsoNormal">Author/co -author of more than 500 refereed journal and conference papers\, she has led the UK EPSRC Programme Grant&nbsp\;<a href="https://www.unloc.net/" ta rget="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/ url?q=https://enotice.mmsend.com/link.cfm?r%3DFFLwFwvCGpunkeZIsStuOA~~%26p e%3Dvi6GaTkh4fhJUpMqoYF5LdptEgaDaTS1qAESaZS63d5PcKN6a5jJWeu-Nzw2ytN6Gox9Aq 8Dpfe9JGL2G6ootQ~~%26t%3DieIlzAn9Bfl4ht9YiOJuDQ~~&amp\;source=gmail&amp\;u st=1738626001283000&amp\;usg=AOvVaw0IXRC1tNhwuyl-FaF4_t3f">UNLOC</a>&nbsp\ ;(2012-2018)\, focused on unlocking - and maximising - the capacity of opt ical fibre communications and currently leads the EPSRC Programme Grant TR ANSNET (2018-2026):&nbsp\;&nbsp\;<a href="https://transnet.org.uk/" target ="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url? q=https://transnet.org.uk/%2520focused&amp\;source=gmail&amp\;ust=17386260 01283000&amp\;usg=AOvVaw2gRl9_h1XhbmQFt4xC1855">https://transnet.org.uk/&n bsp\;</a> focused on transforming optical networks for the cloud.</p><br / ><br />Agenda: <br /><p class="MsoNormal" dir="RTL"><span lang="HE">11:00 - 11:30 התכנסות וכיבוד קל</span></p>\n<p class="MsoNormal" dir="RTL"><span lang="HE">11:30 &ndash\; 12:30 הרצאה של פרופ' פולינה בייבל</span></p> END:VEVENT END:VCALENDAR