BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Flight Path to Sustainability:  Control and Optimization Strategie
 s for Climate-Conscious Aviation
DTSTART:20240426T110000
DTEND:20240426T120000
DTSTAMP:20260408T000154Z
UID:c3b9748dad68149f60f0901e3b525213c199b900016e529f44a4ed16
CATEGORIES:Conferences - Seminars
DESCRIPTION:Professor Manuel Soler\,\n\nUniversidad Carlos III de Madrid\,
  Spain\nAbstract\nAviation\, a cornerstone of the global economy\, faces i
 ncreasing scrutiny for its significant contribution to climate change. Thi
 s paper presents a comprehensive analysis of climate-friendly flight plann
 ing strategies to mitigate aviation's climate impact.\n\nAt the trajectory
  scale\, we explore the feasibility and potential of climate-optimized rou
 ting to reduce aviation's climate footprint. By exploring various methodol
 ogical approaches\, including direct and indirect optimal control methods 
 and metaheuristics\, we demonstrate the effectiveness of climate-optimized
  routing in mitigating both CO2 emissions and non-CO2 species\, such as NO
 x-induced ozone and methane concentrations\, and persistent contrail forma
 tion\, including its inherent uncertainty. Key scenarios\, termed "big-hit
 " events\, are identified\, offering substantial climate impact mitigation
  while considering operational feasibility\, costs\, and robustness.\n\nAt
  the traffic scale\, optimizing flight trajectories presents a viable stra
 tegy to mitigate non-CO2 climate impacts. However\, integrating individual
 ly optimized trajectories into the air traffic management system poses cha
 llenges. To address these challenges\, we propose a novel decision-making 
 framework based on multi-agent deep reinforcement learning. Leveraging adv
 anced algorithms\, our approach ensures comprehensive situational awarenes
 s and scalability for managing climate-optimal trajectories within the air
 space. Extensive testing over European airspace validates the effectivenes
 s of our framework\, contributing to the development of robust strategies 
 for climate-friendly flight planning in aviation.\n\nBio\nManuel Soler is 
 an Associate Professor in the Department of Aerospace Engineering at Unive
 rsidad Carlos III de Madrid (UC3M)\, where he serves as the Director of th
 e Doctoral Program in Aerospace Engineering. He also leads the UC3M Aerona
 utical Operations Laboratory\, focusing on research at the intersection of
  artificial intelligence and optimal control techniques applied to aeronau
 tical meteorology\, air traffic management\, and climate change mitigation
 .\n\nDr. Soler's expertise has been honed through international experience
 s as a visiting scholar at ETH Zürich and U.C. Berkeley\, as well as a vi
 siting Professor at MIT. Since joining UC3M\, he has spearheaded numerous 
 research projects\, securing funding for 17 competitive projects\, includi
 ng nine European initiatives\, three of which he coordinated. His research
  output includes over 40 JCR articles\, three book chapters\, and more tha
 n 50 conference proceedings\, many of which are the result of internationa
 l collaborations.\n\nIn recognition of his scientific contributions\, Dr. 
 Soler has been awarded the SESAR Young Scientist Award in 2013 and the Lui
 s Azcarraga Award in 2023. He is deeply committed to knowledge disseminati
 on and technology transfer\, evidenced by his involvement in initiatives s
 uch as the open ClimaCCF library\, developed within the framework of FlyAT
 M4E and ALARM SESAR projects\, and the creation of Spin-Off AI-Methods.\n\
 nDr. Soler's dedication to communication and outreach is underscored by hi
 s engagement in activities like Researchers’ Night and Science Week\, as
  well as his efforts in disseminating the results of projects like ALARM\,
  START\, and E-CONTRAIL SESAR\, through various media channels including v
 ideos\, radio interviews\, and multilingual press releases.\nhttps://aircr
 aftoperationslab.com/\n\n 
LOCATION:ME C2 405 https://plan.epfl.ch/?room==ME%20C2%20405
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR