BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//University of Toronto Institute for Aerospace Studies - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:University of Toronto Institute for Aerospace Studies
X-ORIGINAL-URL:https://www.utias.utoronto.ca
X-WR-CALDESC:Events for University of Toronto Institute for Aerospace Studies
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Toronto
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260409T133000
DTEND;TZID=America/Toronto:20260409T150000
DTSTAMP:20260503T165139
CREATED:20251215T151034Z
LAST-MODIFIED:20260408T135449Z
UID:46858-1775741400-1775746800@www.utias.utoronto.ca
SUMMARY:Thu Apr 9 — UTIAS MEng Info Session
DESCRIPTION:Discover how the MEng Graduate program can be the launchpad you’ve been looking for. \nThis session is an office hour for prospective applicants to get their questions answered about admissions at UTIAS. \nJoin Zoom Meeting\nhttps://utoronto.zoom.us/j/89561504743 \nMeeting ID: 895 6150 4743\nPasscode: 252165 \n— \nOne tap mobile\n+17789072071\,\,89561504743#\,\,\,\,*252165# Canada\n+14388097799\,\,89561504743#\,\,\,\,*252165# Canada \n— \nJoin by SIP\n• 89561504743@zoomcrc.com\nPasscode: 252165 \nJoin instructions\nhttps://utoronto.zoom.us/meetings/89561504743/invitations?signature=sgeJvHsh1bZO8CU-1fGhpcowU32YmbHSSTQkr54uLDc
URL:https://www.utias.utoronto.ca/events/graduate-studies-in-utias-info-session/
CATEGORIES:Prospective Students
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20251107T120000
DTEND;TZID=America/Toronto:20251107T130000
DTSTAMP:20260503T165139
CREATED:20251103T190145Z
LAST-MODIFIED:20251103T195335Z
UID:43634-1762516800-1762520400@www.utias.utoronto.ca
SUMMARY:Graduate Studies in UTIAS Info Session
DESCRIPTION:Discover how one of our graduate programs can be the launchpad you’ve been looking for! \nThis session is an office hour for prospective applicants to get their questions answered about admissions at UTIAS \nZoom Link | Passcode: 029793
URL:https://www.utias.utoronto.ca/events/utias-info-session/
LOCATION:Zoom
CATEGORIES:Prospective Students
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250812T130000
DTEND;TZID=America/Toronto:20250812T140000
DTSTAMP:20260503T165139
CREATED:20250730T181627Z
LAST-MODIFIED:20251106T184352Z
UID:35350-1755003600-1755007200@www.utias.utoronto.ca
SUMMARY:The effect of anisotropy and walls on leading-edge noise
DESCRIPTION:Abstract: Leading edge has been extensively studied numerically\, analytically\, and experimentally assuming the incoming turbulence is isotropic. This talk will detail analytical and numerical work investigating the effect of anisotropy on leading-edge noise. This is a relevant problem for ultra high bypass turbofan engines where anisotropic turbulence can be found in the wakes between the fan and OGVs due to the relatively short nacelle. It is also relevant for open rotors and unducted fans where the rotors interact with boundary layers on the aircraft fuselage\, which contain anisotropic turbulence.\nThe fuselage also introduces another effect for these applications\, viz. the effect of walls on leading edge noise. For open-rotors and unducted fans\, the effect of the wall on the leading-edge noise also needs to be considered. Anisotropic turbulence presents a significant redistribution of the energy in the turbulence spectra in comparison with an isotropic baseline even for values representative of the anisotropy in the fan wakes from aero-engines\, which affects the resulting noise spectra. \nBio: David Angland is director of the Airbus Noise Technology Centre at the University of Southampton. This centre was established in 2008 as a result of the long-standing collaboration between Airbus and the University of Southampton on a range of noise research and development projects. His research interests lie in high-lift device noise\, bluff body noise\, active flow control\, phased microphone array technology\, leading edge noise\, turbomachinery noise and plasma actuators. He has been PI on grants from industry\, TSB\, ATI\, and the European Union.
URL:https://www.utias.utoronto.ca/events/the-effect-of-anisotropy-and-walls-on-leading-edge-noise/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
CATEGORIES:Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250724T010000
DTEND;TZID=America/Toronto:20250724T140000
DTSTAMP:20260503T165139
CREATED:20250721T184259Z
LAST-MODIFIED:20250721T184351Z
UID:35252-1753318800-1753365600@www.utias.utoronto.ca
SUMMARY:Modeling and Simulation of Rarefied Gases
DESCRIPTION:Abstract: The Boltzmann equation is a cornerstone of gas kinetic theory\, describing the statistical behavior of gas molecules via distribution functions. However\, its high dimensionality and the complex\, nonlinear structure of the collision operator present significant challenges for numerical computation. Over the past decade\, our research has focused on both model reduction and efficient numerical methods for solving the Boltzmann equation. In this talk\, I will highlight recent progress on the simplification and acceleration of algorithms for the quadratic collision operator. In particular\, I will present two classes of spectral methods–one based on Hermite polynomials and the other on Fourier basis functions–that effectively reduce computational cost while maintaining accuracy. \nBio: Zhenning Cai received his Ph.D. from Peking University in 2013. He then conducted postdoctoral research at RWTH Aachen University for two years\, followed by a one-year appointment as a Visiting Assistant Professor at Duke University. In 2017\, he joined the Department of Mathematics at the National University of Singapore\, where he was promoted to Associate Professor with tenure in 2023. His research interests lie primarily in the modeling and simulation of rarefied gas dynamics and the numerical computation of open quantum systems.
URL:https://www.utias.utoronto.ca/events/modeling-and-simulation-of-rarefied-gases/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20241202T140000
DTEND;TZID=America/Toronto:20241202T150000
DTSTAMP:20260503T165139
CREATED:20241125T212146Z
LAST-MODIFIED:20241125T212238Z
UID:34056-1733148000-1733151600@www.utias.utoronto.ca
SUMMARY:LES of turbulent\, twin jets
DESCRIPTION:Joseph Mathew\, Chair and Professor\, Department of Aerospace Engineering\, Indian Institute of Science \n  \nAbstract: \nThe first part is on the LES method that we have used and understood over the past two decades with a sequence of theses beginning with incompressible\, variable density\, compressible subsonic and then supersonic flows with shocks.  The method will be described in brief\, including that for shock capturing with a few examples of a posteriori performance.  Features of LES of round jets are discussed in some detail because it is a direct validation for the twin jets to follow. \nWe have new results for twin round jets for which intrinsic scales have been found which are connected by simple relations to input parameters.  This scaling provides a way to design new twin jet configurations.  It also suggests possible new design rules for multiple jet configurations. \n  \nBio: \nDr. Joseph Mathew is Professor and Chair of the Department of Aerospace Engineering\, Indian Institute of Science\, Bangalore.  He obtained his B. Tech from the Indian Institute of Technology Madras (1984)\, MS from the University of Missouri-Rolla (1986) and PhD from the Massachusetts Institute of Technology (1990)\, in Mechanical Engineering.  After post-doctoral positions at ICOMP\, NASA Glenn Research Center\, Cleveland\, and National Aerospace Laboratories\, Bangalore\, he joined IISc as an Assistant Professor in 1995.  His research interests comprise Turbulence\, transition\, stability and wave propagation\, DNS/LES and applications to turbomachinery\, aeroacoustics and combustion.  He has had research collaborations on LES with TU-Munich (2000-2011) and AFRL\, Dayton (2004-5).  He is a Fellow of the Indian National Academy of Engineering and an Associate Fellow of AIAA. He has been closely associated with ASME Gas Turbine conferences in India\, serving as Review Chair in 2013 and 2015\, and was Chair of the Executive Committee for ASME Gas Turbine India 2017-2019.  He is a member of the Board of INSPACe for promotion and authorization of Space activities.
URL:https://www.utias.utoronto.ca/events/prof-joseph-mathew-on-les-of-turbulent-twin-jets/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20241031T100000
DTEND;TZID=America/Toronto:20241031T110000
DTSTAMP:20260503T165139
CREATED:20241024T163218Z
LAST-MODIFIED:20241024T163218Z
UID:33947-1730368800-1730372400@www.utias.utoronto.ca
SUMMARY:Physics of turbulent combustion of hydrogen: contemporary understanding and fundamental challenges
DESCRIPTION:Abstract: This presentation will aim at highlighting and discussing the following important peculiarity of combustion of lean hydrogen-air mixtures. High molecular diffusivity of hydrogen can result in significant local variations in mixture composition\, temperature\, fuel consumption and heat release rates due to imbalance of molecular fluxes of chemical and thermal energies to and from stretched reaction zones. Under laminar conditions\, such differential diffusion effects cause diffusional-thermal instability of premixed flames. In turbulent flows\, the effects manifest themselves in a significant increase in burning rate. Classical experimental and recent Direct Numerical Simulation (DNS) data that show importance of such phenomena will be discussed\, various approaches to modeling differential diffusion effects in lean hydrogen-air turbulent flames will be critically analyzed using DNS data\, results of a few relevant validation studies will be presented\, and remaining gaps in contemporary fundamental knowledge on such effects will be emphasized. \nBio: Professor Andrei Lipatnikov received his Ph.D. in Molecular and Chemical Physics from Moscow Institute of Physics and Technology in 1987. Subsequently\, he was employed by that Institute until he was invited to join Department of Thermo- and Fluid Dynamics at Chalmers University of Technology as a guest scientist in 1996. In May 1998\, he was permanently employed as a researcher at the same department. In August 2000\, the School of Mechanical and Vehicular Engineering accepted Dr. Lipatnikov as a docent. In July 2017\, he got appointment of a research professor. His academic activities have been concerned with modeling of burning of gaseous mixtures in turbulent and laminar flows\, pollutant formation in flames\, autoignition of premixed reactants\, thermo-acoustic instabilities\, fuel sprays\, as well as numerical simulations of turbulent flames in laboratory burners and internal combustion engines. He has authored a monograph and about 325 scientific contributions\, including 148 original journal papers and five invited review articles published by Progress in Energy and Combustion Science and Annual Review of Fluid Mechanics.
URL:https://www.utias.utoronto.ca/events/physics-of-turbulent-combustion-of-hydrogen-contemporary-understanding-and-fundamental-challenges/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240705T140000
DTEND;TZID=America/Toronto:20240705T150000
DTSTAMP:20260503T165139
CREATED:20240702T145059Z
LAST-MODIFIED:20240702T145208Z
UID:33636-1720188000-1720191600@www.utias.utoronto.ca
SUMMARY:Autonomous Forced Landing of Unmanned Aircraft Systems
DESCRIPTION:Abstract \nUnmanned aircraft systems are gradually penetrating into civil aviation\, sharing airspace with manned aircraft. Safely is of paramount importance in future mixed aviation environment. Research has been carried out in addressing mid-air safety such as see and avoid\, and safe separation\, but much less on terminal operation and active contingence management. This talk focuses on autonomous landing particularly on forced landing in emergence. Different from a normal landing procedure consisting terminal area operation and autonomous taxiing\, in an emergence situation such as engine-out or critical failure\, a human pilot is trained to perform forced landing. It is essential to have similar functions on UAV to minimise the risk to the public and the damage of aircraft. We develop an autonomous forced landing function consisting of three layers: landing site selection\, flight path planning and autopilot. Based on gliding performance and aircraft flight status\, a reachability set approach is proposed to predict the maximum coverage of the aircraft. Then a decision-making tool is produced to identify and rank possible landing sites based on the likelihood of success landing and other factors. The path planning and autopilot design to cope with or exploit various wind conditions are considered under the recently proposed Goal-Oriented Control Systems framework. \nBio \nWen-Hua Chen holds Chair in autonomous vehicles in the Department of Aeronautical and Automotive Engineering at Loughborough University\, where he is also heading the Controls and Reliability Research Group. He is the Founding Director of Loughborough University Centre for Autonomous Systems specialised in unmanned aircraft systems and autonomous driving. He joined Loughborough as Lecturer in Flight Control Systems in 2000. Before that\, he held teaching positions at the University of Glasgow\, Scotland\, and Nanjing University of Aeronautics and Astronautics\, China. Dr Chen has a considerable experience in advanced control and signal processing and their applications in aerospace and automotive engineering. In the last 20 years\, he has been spending most of his effort in developing autonomous system technologies and their applications in transport\, defence\, agriculture and environment. Prof Chen is a Chartered Engineer\, and a Fellow of IEEE\, the Institute of Engineering and Technology and the Institute of Mechanical Engineers\, UK.  He has published about 340 papers with over 20\,000 citations. Currently he also holds the Established Career Fellowship of the Engineering and Physical Sciences Research Council (EPSRC)\, the most prestigious award by the UK government funding agencies.
URL:https://www.utias.utoronto.ca/events/autonomous-forced-landing-of-unmanned-aircraft-systems/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20231123T103000
DTEND;TZID=America/Toronto:20231123T114500
DTSTAMP:20260503T165139
CREATED:20231107T145008Z
LAST-MODIFIED:20231107T145108Z
UID:32874-1700735400-1700739900@www.utias.utoronto.ca
SUMMARY:Frontiers of RPAS technology and regulation: from principles to practice
DESCRIPTION:Abstract\nIn this joint seminar\, engineers from Transport Canada and Ribbit will discuss the latest Canadian regulations for Remotely Piloted Aircraft Systems (RPAS\, i.e. drones)\, and how they apply to the development and testing of novel drone concepts. Transport Canada will lead the first half of the seminar\, laying a rigorous foundation in the philosophy and structure of Part IX of the Canadian Aviation Regulations. They will also emphasize how Canada is leading efforts to enable large/heavy RPAS\, Beyond Visual Line of Sight (BVLOS) missions\, and other emerging technologies and operations. The second half of the seminar will examine Ribbit as a practical case study—Ribbit is a Canadian company retrofitting traditional airplanes for highly automated remotely piloted flight. Ribbit will discuss how they are bridging the gap between small drones and traditional aviation\, providing a candid look at the ongoing test campaign that includes Canada’s first hands-free gate-to-gate flight between two remote airports in September 2023. The seminar will close with remarks and open questions on the future of RPAS regulatory evolution. \nBio\nMarco Mariotti\, MS ASAA\, P.Eng.\, PMP\, Capt (Army Retd). Marco Mariotti is a senior engineer for RPAS Airworthiness and Certification at Transport Canada’s (TC) RPAS Task Force\, specializing in general aviation\, their associated approval mechanisms and international regulatory harmonization. Prior to joining the Task Force in 2019\, Marco worked with TC’s Ontario Regional Aircraft Certification Office for 17 years. He has over 25 year of aerospace experience encompassing both the defence and civil aviation sectors working with designers\, manufacturers\, maintainers\, and operators\, on either side of the Atlantic and a myriad of foreign regulators. Marco holds a Mastère Spécialisé\, Aviation Safety – Aircraft Airworthiness (2013) from a joint program of École Nationale de l’Aviation Civile\, Institut Supérieur de l’Aéronautique et de l’Espace and École de l’Air through Toulouse\, France. He has a Bachelor of Engineering\, Aerospace Engineering (1995) from Ryerson Polytechnic University in Toronto\, Canada. \nDr. Jeremy C.-H. Wang is a Canadian aerospace engineer with 8 years of experience in aerial robotics and RPAS automation. From 2016 to 2019\, Jeremy served as CTO of one of Canada’s leading drone operators\, where he started and grew a self-sustaining engineering division developing special-purpose and long-range drones for industrial and defence clients. In 2020\, Jeremy co-founded Ribbit with Carl Pigeon—Ribbit is a cargo airline startup that builds self-flying airplanes and equips organizations with pilotless fleets to improve service levels and serve new markets. The company has signed LOIs with 6 leading retailers and wholesalers worth $42M/yr in future revenue\, received an SFOC for remotely piloted flight tests\, and recently won a $1.3M testing contract with the federal government. Jeremy holds a BASc in Engineering Science from the University of Toronto and PhD in Mechanical Engineering from the University of Waterloo.
URL:https://www.utias.utoronto.ca/events/frontiers-of-rpas-technology-and-regulation-from-principles-to-practice/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230721T140000
DTEND;TZID=America/Toronto:20230721T150000
DTSTAMP:20260503T165139
CREATED:20230712T155554Z
LAST-MODIFIED:20230712T155555Z
UID:32063-1689948000-1689951600@www.utias.utoronto.ca
SUMMARY:Unique Dynamics of Reacting Systems Under Near Limit Conditions
DESCRIPTION:Speaker: Prof. Tanvir Farouk\nProfessor\, Department of Mechanical Engineering\, University of South Carolina \nToday’s energy technologies have been moving toward operating at near-limit conditions to achieve higher efficiency\, lower emission\, and fuel variability. Under these near limit conditions chemical kinetics and the thermo-fluid dynamics couple more distinctively in a reacting flow system. This talk discusses two such ‘near limit’ systems – “Liquid Phase” non-thermal plasma discharge and “Cool Flame” in multiphase configuration. The first part of the talk focuses on non-thermal plasma development in liquid phase. Non-thermal plasmas are non-equilibrium class of gas discharges where the electron temperature is very high\, but the neutrals maintain room temperature condition. I will discuss the kinetic processes that drive the non-thermal plasma formation mechanism at nano-second time scales without any possible phase change taking place.   The second part of the talk will introduce “Cool Flame” a phenomenon generally elusive in multiphase due to its very unique time scale. I will discuss the interplaying physicochemical processes that trigger “Cool Flame” behavior\, and that can be controlled to purposely attain a “Cool Flame” burn in multiphase. \nBiography: Tanvir Farouk is currently a Professor in the Department of Mechanical Engineering at the University of South Carolina\, Columbia. He received his MASc (2004) and PhD (2009) from University of Toronto and Drexel University respectively. His doctoral work on non-thermal plasma discharge earned him the prestigious National Science and Engineering Research Council of Canada (NSERC) post-doctoral fellowship award. He was awarded the Irvin Glassman Young Investigator award by the Combustion Institute in 2013 for his work on “Cool Flames” and was invited to be a member of NASA’s Science and Definition for Microgravity Experiments from 2014 – 2016. He was awarded the Young Investigator Award (2018) and Breakthrough Star Award (2016) from the University of South Carolina. In 2019 he was awarded the Ralph Teetor Award from the Society of Automotive Engineers. For his contribution to plasma treated surface functionalization of composites he received the NASA Group Achievement Award in 2020. He is an invited committee member of “NASA’s Decadal Survey on Biological and Physical Science Research”. His research has been supported by DARPA\, DOE\, DOD\, NASA\, NSF\, Boeing\, Siemens\, ClearSign Corporation\, and Holtec. Dr. Farouk has authored/ co-authored 65 plus journal articles\, 95 plus conference articles\, 1 book chapter and filled 9 patents applications. \n 
URL:https://www.utias.utoronto.ca/events/unique-dynamics-of-reacting-systems-under-near-limit-conditions/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230707T110000
DTEND;TZID=America/Toronto:20230707T130000
DTSTAMP:20260503T165139
CREATED:20230705T004518Z
LAST-MODIFIED:20230705T004529Z
UID:32036-1688727600-1688734800@www.utias.utoronto.ca
SUMMARY:Dynamics of flow unsteadiness in high-speed double cones and cylinders
DESCRIPTION:Date and Time: July 7\, 11 AM \nVenue: UTIAS Lecture Hall\, AS 158 \n  \nAbstract: \nExternal flows in the high-speed (compressible) regime with regions of flow separation often present rich fluid-dynamical features. An aspect of such flows that is particularly interesting is temporal unsteadiness\, which is typically driven by interaction of shock waves with flow regions of high shear and/or separation. In certain cases\, the unsteadiness is characterized by periodic shock wave motion with large spatial amplitudes\, which gives the flows a visually spectacular character! \nThis talk will present experimental studies at Mach 6 of two canonical flows that are characterized by shock-wave/separation-region interactions – one is flow over a double cone and the other is flow in the wake of a 2D circular cylinder. The double-cone flow exhibits two distinct states of unsteadiness\, with large- and small-amplitude shock-wave oscillations. Physical mechanisms will be deduced from experimental results to explain the oscillations and the transition between flow states. Coherent flow oscillations are also found in the high-speed cylinder wake\, with some broad similarities to small-amplitude shock-wave oscillations in the double-cone flow. The Strouhal number of the cylinder wake shows universal behavior\, and further\, oscillatory activity in the two statistically identical halves of the flow is anti-symmetric. \n  \nBio: \nDr. Subrahmanyam Duvvuri is an Assistant Professor of Aerospace Engineering at the Indian Institute of Science\, where he leads the Turbulent Shear Flow Physics and Engineering Laboratory. He obtained a BTech degree in Aerospace Engineering from Indian Institute of Technology Madras\, and MS and PhD degrees in Space Engineering and Aeronautics\, respectively\, from California Institute of Technology. Prior to his present position\, he worked at Princeton University for two years as a Postdoctoral Research Associate.
URL:https://www.utias.utoronto.ca/events/dynamics-of-flow-unsteadiness-in-high-speed-double-cones-and-cylinders/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230608T131000
DTEND;TZID=America/Toronto:20230608T141000
DTSTAMP:20260503T165139
CREATED:20230531T163041Z
LAST-MODIFIED:20230531T163151Z
UID:31722-1686229800-1686233400@www.utias.utoronto.ca
SUMMARY:Bayesian Sequential Optimal Experimental Design
DESCRIPTION:Speaker: Xun Huan \nDate & time: Thursday\, June 8th\, 1pm \nLocation: UTIAS Lecture Hall \nTitle: Bayesian Sequential Optimal Experimental Design \nAbstract: \nExperiments are crucial for developing and refining models in engineering and science. When experiments are expensive\, a careful design of these limited data-acquisition opportunities can be immensely beneficial. Optimal experimental design (OED) thus leverages the predictive power of simulation models to systematically quantify and maximize the value of experiments. \nWe first introduce OED for a batch of experiment under a Bayesian setting using the expected information gain (EIG) (uncertainty reduction) objective. We then formulate OED for a sequence of experiments via a Markov decision process (MDP)\, where an optimal design rule (policy) can (a) adapt to newly collected data along the way (feedback) and (b) anticipate future consequences (lookahead). We solve the sequential OED problem with policy gradient techniques from reinforcement learning together with an efficient lower bound EIG estimator. This is achieved numerically by directly parameterizing the policy\, value function\, and variational posteriors using neural networks and improving them via gradient estimates produced from simulated design sequences. We demonstrate our method on several examples\, including an optimal sensor movement application for source inversion in a convection-diffusion field. \nBio: \nXun Huan is an Assistant Professor of Mechanical Engineering at the University of Michigan\, where he leads the Uncertainty Quantification and Scientific Machine Learning Group. He is affiliated with the Michigan Institutes for Computational Discovery and Engineering (MICDE) and for Data Science (MIDAS). Xun received a B.A.Sc. (Engineering Science–Aerospace) from the University of Toronto\, a S.M (Aerospace Engineering) and Ph.D. (Computational Science and Engineering) from MIT\, and was a postdoctoral researcher at MIT and Sandia National Laboratories. His research interests include optimal experimental design\, Bayesian analysis\, reinforcement learning\, and physics-aware data-driven modeling.
URL:https://www.utias.utoronto.ca/events/bayesian-sequential-optimal-experimental-design/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230428T143000
DTEND;TZID=America/Toronto:20230428T153000
DTSTAMP:20260503T165139
CREATED:20230412T195547Z
LAST-MODIFIED:20230531T163110Z
UID:31302-1682692200-1682695800@www.utias.utoronto.ca
SUMMARY:A Variational Theory of Aero-hydrodynamics
DESCRIPTION:A Variational Theory of Aero-hydrodynamics \nThe Euler equation does not possess a unique solution for the flow over a two-dimensional object. This problem has serious repercussions in aerodynamics; it implies that the inviscid aero-hydrodynamic lift force over a two-dimensional object cannot be determined from first principles; a closure condition must be provided. The Kutta condition has been ubiquitously considered for such a closure in the literature\, even in cases where it is not applicable (e.g. unsteady).  In this talk\, I will present a special variational principle that we revived from the history of analytical mechanics: Hertz’ principle of least curvature. Using this principle\, we developed a novel variational formulation of Euler’s dynamics of ideal fluids that is fundamentally different from the previously developed variational formulations based on Hamilton’s principle of least action. Applying this new variational formulation to the century-old problem of the ideal flow over an airfoil\, we developed a general (dynamical) closure condition that is\, unlike the Kutta condition\, derived from first principles. In contrast to the classical theory\, the proposed variational theory is not confined to sharp edged airfoils; i.e.\, it allows\, for the first time\, theoretical computation of lift over arbitrarily smooth shapes\, thereby generalizing the century-old lift theory of Kutta and Zhukovsky. Moreover\, the new variational condition reduces to the Kutta condition in the special case of a sharp-edged airfoil\, which challenges the widely accepted wisdom about the viscous nature of the Kutta condition. \nWe also generalized this variational principle to Navier-Stokes’ via Gauss’ principle of least constraint\, thereby discovering the fundamental quantity that Nature minimizes in every incompressible flow. We proved that the magnitude of the pressure gradient over the field is minimum at every instant! We call it the Principle of Minimum Pressure Gradient (PMPG). We proved that the Navier-Stokes’ equation is the necessary condition for minimizing the pressure gradient subject to the continuity constraint. Hence\, the PMPG turns any fluid mechanics problem into a minimization one where fluid mechanicians need not to apply Navier-Stokes’ equations\, but merely need to minimize the proposed action. \nBiography \n\n\n\n\nHaithem Taha is currently an associate professor in MAE. He received a PhD degree from the Engineering Mechanics department at Virginia Tech simultaneously with an MSc degree in Mathematics. Taha’s research interests span geometric  nonlinear  control  theory\,  unsteady  aerodynamics\, theoretical mechanics  and  variational principles  with  applications  to unconventional  flight mechanics such as bio-inspired flight. He is a Recipient of the NSF CAREER Award and an AIAA Associate Fellow. Taha is particularly interested in the history and philosophy of mechanics and has several lectures on the topic.\n\n\n\nSeminar Room \nhttps://utoronto.zoom.us/j/84339849410\nZoom ID: 843 3984 9410 Passcode: 689661
URL:https://www.utias.utoronto.ca/events/a-variational-theory-of-aero-hydrodynamics/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230406T150000
DTEND;TZID=America/Toronto:20230406T160000
DTSTAMP:20260503T165139
CREATED:20230403T152113Z
LAST-MODIFIED:20230531T163120Z
UID:24270-1680793200-1680796800@www.utias.utoronto.ca
SUMMARY:Opportunities and Perspectives from the Aerospace Industry
DESCRIPTION:Bio: \nNimeesha Kuntawala is a Product Development Team Lead in the Flight Sciences directorate at Gulfstream Aerospace. She has been at Gulfstream for 7 years. She started at Gulfstream as a Technical Specialist in Aircraft Performance in 2016\, helping to flight test and certify the G500 and G600. In 2019\, she became the Group Head of Aircraft Performance. Prior to Gulfstream\, she was at Bombardier Aerospace in Montreal and worked in both the Advanced Aerodynamics and Flight Sciences (Aircraft Performance) teams\, primarily on the CSeries (now Airbus A220) and Challenger 350. Nimeesha holds a Bachelor of Applied Science in Aerospace Engineering from the University of Toronto and a Master of Applied Science from UTIAS\, where she was part of Dr. David Zingg’s group and worked on the aerodynamic shape optimization of the blended wing body configuration. \nAbstract: \nAs you explore the next steps of your career\, you will learn from the speaker more about the range of opportunities available at an aerospace OEM\, with a focus on Gulfstream Aerospace Corporation and an overview of our Flight Sciences directorate\, specifically. She will also share the details of her career path thus far and lessons learned along the way. \nThe zoom link for this virtual seminar event is below:\nhttps://utoronto.zoom.us/j/82892862681 \nMeeting ID: 828 9286 2681\nPasscode: aerospace
URL:https://www.utias.utoronto.ca/events/24270/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230317T110000
DTEND;TZID=America/Toronto:20230317T120000
DTSTAMP:20260503T165139
CREATED:20230306T180812Z
LAST-MODIFIED:20230306T181913Z
UID:24116-1679050800-1679054400@www.utias.utoronto.ca
SUMMARY:Physics-driven control of complex fluid flows
DESCRIPTION:Abstract: \nThe ability to control fluid flow behaviors can lead to quiet\, economical\, and efficient systems in fluid mechanics and aerodynamics. Because of high dimensionality\, strong nonlinearity\, and complexity in fluid physics\, the design of effective control strategies can be challenging. My research focuses on uncovering the underlying physics of complex fluid flows using the cutting-edge technique of modal analysis. The insights obtained from various types of modal analysis provide guidance for physics-driven control designs. In this talk\, global stability analysis\, resolvent analysis\, and modal decomposition methods are adopted to guide parameter selection for control designs aimed at (1) suppressing fluctuations in flows over long rectangular cavities; (2) reducing the strength of wingtip trailing vortices\, and (3) identifying optimal actuation strategy for supersonic jet flow. All the control performance and the physical control mechanisms are further investigated using high-fidelity large-eddy and direct numerical simulations. \nBio: \nDr. Yiyang Sun is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Syracuse University. Prior to joining Syracuse University\, Dr. Sun was a Postdoctoral Associate in the Department of Aerospace Engineering and Mechanics at the University of Minnesota\, Twin Cities. She earned her Ph.D. degree in Mechanical Engineering from Florida State University in 2017\, and her B.S. degree in Naval Architecture and Ocean Engineering from Huazhong University of Science and Technology in 2012. Her research interests focus on understanding the underlying physics of fluid flows and designing physics-driven control strategies using computational fluid dynamics and modal analysis.
URL:https://www.utias.utoronto.ca/events/physics-driven-control-of-complex-fluid-flows/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221117T160000
DTEND;TZID=America/Toronto:20221117T160000
DTSTAMP:20260503T165139
CREATED:20220705T211747Z
LAST-MODIFIED:20230119T213657Z
UID:22489-1668700800-1668700800@www.utias.utoronto.ca
SUMMARY:Sound sources in premixed flames
DESCRIPTION:Abstract:\nLean premixed combustion is the desired combustion regime in industrial gas turbines. It results in a low level of NOX emissions due to operating at lower temperatures and facilitates better combustion efficiency. However\, the main issue with operating gas turbines in this regime is thermoacoustic instability\, commonly initiated by combustion-generated sound. This issue is a significant drawback for developing cleaner gas turbines featuring stable combustion. This presentation aims to demonstrate how direct numerical simulation (DNS) can provide insights into the mechanism of sound generation by premixed flames and how the existing modelling frameworks need to be improved to simulate industrial-scale gas turbines. \nBiography:\nA/Prof. Mohsen Talei is a former Discovery Early Career Researcher (DECRA Fellow) of the Australian Research Council (ARC) and an Associate Professor in the Department of Mechanical Engineering at the University of Melbourne. Mohsen joined the University of Melbourne as a staff member in 2014\, having previously completed post-doctoral research at the University of New South Wales (UNSW) and a PhD at the University of Melbourne. Mohsen has 18 years of industry and academic research experience in the broad area of energy with a focus on low-emission energy technologies. Mohsen’s research involves a significant use of high-performance computing to develop reliable models that can be used for simulating cleaner gas turbines and reciprocating engines.
URL:https://www.utias.utoronto.ca/events/sound-sources/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221103T110000
DTEND;TZID=America/Toronto:20221103T120000
DTSTAMP:20260503T165139
CREATED:20230306T182338Z
LAST-MODIFIED:20230306T182338Z
UID:24121-1667473200-1667476800@www.utias.utoronto.ca
SUMMARY:Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity
DESCRIPTION:Abstract: We present a nonlinear registration-based model reduction procedure for rapid and reliable solution of parameterized two-dimensional steady conservation laws. This class of problems is challenging for model reduction techniques due to the presence of nonlinear terms in the equations and also due to the presence of parameter-dependent sharp gradient regions that cannot be adequately represented through linear approximation spaces. Our approach builds on the following ingredients: (i) a general (i.e.\, independent of the underlying equation) registration procedure for the computation of a parametric mapping that tracks moving features of the solution field; (ii) an hyper-reduced least-squares Petrov-Galerkin reduced-order model for the rapid and reliable estimation of the solution field; (iii) a greedy procedure driven by a residual-based error indicator for efficient exploration of the parameter domain; and (iv) an adaptive mesh refinement technique for the definition of an accurate discretization for all parameter values. We present results for a representative nonlinear problem in steady aerodynamics to demonstrate the effectiveness and the mathematical soundness of our proposal. \nBiography: Tommaso Taddei is a junior research scientist at Inria Bordeaux. He is also a member of the Institute of Mathematics in Bordeaux (IMB). His research focuses on model reduction methods for parameterized PDEs and data assimilation methods with applications in continuum mechanics. \nBefore joining Inria in 2018\, he was a post-doctoral associate in the group of Professor Yvon Maday at Laboratoire Jacques-Louis Lions\, and a PhD student in the group of Professor Anthony Patera in the Department of Mechanical Engineering at MIT.
URL:https://www.utias.utoronto.ca/events/registration-based-model-reduction-of-parameterized-pdes-with-spatio-parameter-adaptivity/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20220713T140000
DTEND;TZID=America/Toronto:20220713T160000
DTSTAMP:20260503T165139
CREATED:20230306T182449Z
LAST-MODIFIED:20230306T182449Z
UID:24123-1657720800-1657728000@www.utias.utoronto.ca
SUMMARY:Renaissance of Phase
DESCRIPTION:Abstract: The phase or argument of a complex number is an important concept known to most of the university students in STEM. We will begin the talk by asking the following question:\n• What are the phases of a complex matrix?\nA novel answer to this question will then be followed by further questions:\n• What are the phases of a MIMO system?\n• What are the phases of a nonlinear system (e.g.\, robot\, UAV)?\n• What are the phases of a dynamic network (e.g.\, power network\, social network)?\n• What are the phases of a data set (e.g.\, data cube)?\nThese are the questions to be answered in the newly developed phase theory for complex systems\, in which we will also be shown why the phases are important in system analysis and data analytics. In this talk we will give a glimpse of the phase theory and we will also give some future speculations. \nBiography: Li Qiu received his Ph.D. degree in electrical engineering from the University of Toronto in 1990. After briefly working in the Canadian Space Agency\, the Fields Institute for Research in Mathematical Sciences (Waterloo)\, and the Institute of Mathematics and its Applications (Minneapolis)\, he joined Hong Kong University of Science and Technology in 1993\, where he is now a Professor of Electronic and Computer Engineering. Prof. Qiu’s research interests include system\, control\, optimization theory\, and mathematics for information technology\, as well as their applications in manufacturing industry and energy systems. He is also interested in control education and coauthored an undergraduate textbook “Introduction to Feedback Control” which was published by Prentice-Hall in 2009. He served as an associate editor of the IEEE Transactions on Automatic Control and an associate editor of Automatica. He was the general chair of the 7th Asian Control Conference\, which was held in Hong Kong in 2009. He was a Distinguished Lecturer from 2007 to 2010 and was a member of the Board of Governors in 2012 and 2017 of the IEEE Control Systems Society. He is the founding chairperson of the Hong Kong Automatic Control Association and a vice president of Asian Control Association. He is a Fellow of IEEE and a Fellow of IFAC.
URL:https://www.utias.utoronto.ca/events/renaissance-of-phase/
LOCATION:Lecture Hall\, University of Toronto Institute for Aerospace Studies
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20220705T110000
DTEND;TZID=America/Toronto:20220705T120000
DTSTAMP:20260503T165139
CREATED:20230306T182537Z
LAST-MODIFIED:20230306T182537Z
UID:24125-1657018800-1657022400@www.utias.utoronto.ca
SUMMARY:ML for Automated Monitoring of Insects
DESCRIPTION:Abstract: Biodiversity monitoring is crucial for tracking and counteracting adverse trends in population fluctuations due to climate change and other anthropogenic factors. While terrestrial animals have been a keen interest\, insects are highly under-monitored due to their sheer complexity. This contrasts with the fact that nearly 90% of the described species on the planet are insects. In this talk\, I will introduce a new paradigm for monitoring insects\, focusing more on machine learning aspects. \nBiography: Aditya Jain is an aerospace graduate student at the University of Toronto and an intern at Mila – Quebec AI Institute. His background is in robotics (self-driving cars\, drones\, industrial robots) and machine learning. He has experience building technologies in the field of healthcare\, urban planning\, agriculture\, and climate change. He has spent time at industrial research labs that include Microsoft Research and TCS Research. In his personal life\, he is a certified yoga instructor and practitioner.
URL:https://www.utias.utoronto.ca/events/ml-for-automated-monitoring-of-insects/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20220512T140000
DTEND;TZID=America/Toronto:20220512T150000
DTSTAMP:20260503T165139
CREATED:20230306T182625Z
LAST-MODIFIED:20230306T182625Z
UID:24127-1652364000-1652367600@www.utias.utoronto.ca
SUMMARY:Power minimization on fixed-pitch coaxial rotors
DESCRIPTION:Abstract: Fixed-pitch coaxial\, contrarotating rotors are often used in large multirotor aircraft in applications ranging from payload delivery to urban air mobility. This presentation will examine the potential of minimizing net hover power at a given thrust for a coaxial pair using both an analytical approach and experimental results. The problem analyzed here serves as an example of live algorithms providing performance improvements in overactuated vehicles. \nDownload fixed-pitch coaxial rotors flyer \nBiography: Tomas Opazo graduated from Electrical Engineering in 2013 (U. de Chile)\, worked for 3 years in a research Lab before moving to United States where he studied a PhD in Aerospace Engineering (2022). \nHe is interested in autonomy and intelligence of unmanned aerial vehicles\, control allocation and optimization of over-actuated systems.
URL:https://www.utias.utoronto.ca/events/power-minimization-on-fixed-pitch-coaxial-rotors/
END:VEVENT
END:VCALENDAR