<html><head><meta http-equiv="content-type" content="text/html; charset=us-ascii"></head><body style="overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div>Dear all,</div><div><br></div><div>I would like to draw your attention to two talks in Solar physics and Machine Learning in the School of Mathematics, </div><div>Monash University, the online zoom access is included. </div><div><br></div><div>Also, the second part of the workshop in deep learning applied to </div><div>solar data and (medical) images is continuing on 23rd Feb.</div><div><br></div><div><br></div><div>=================================================</div><div>22/02/2023</div><div><br></div><div>11 am</div><div>Dr Istvan Ballai</div><div><br></div><div><div>Title: A new perspective on waves in partially ionised solar plasmas</div><div><br></div><div>Abstract: The temperature in the lower part of the solar atmosphere is not high enough to ensure a full ionisation of the plasma, meaning that at all time the plasma is made up from charged particles and neutrals that interact via short and long range collisions. These collisions provide an effective momentum and energy transfer mechanism between different species. </div><div>In my presentation I will discuss some interesting properties of waves in weakly ionised plasmas. The framework in which the properties of waves are described depends on the relative magnitude of collisions between particles, but also on the relative magnitude of the collisional frequencies compared to the gyro-frequency of charged particles. </div><div>The second part of my presentation will deal with waves in partially ionised plasma in ionisation non-equilibrium that can arise due to to collisional impact ionization and radiative recombination. The process of non-equilibrium ionization is very much related to the process of irreversible physics via inelastic collision between particles. Here I will discuss the limitations of the analytical model and present some preliminary results related to a peculiar parametric instability that appears in partially ionised plasma environments in ionisation non-equilibrium.</div><div><br></div><br class="Apple-interchange-newline"></div><div style="display: block;"><div style="-webkit-user-select: all; -webkit-user-drag: element; display: inline-block;" class="apple-rich-link" draggable="true" role="link" data-url="https://monash.zoom.us/j/85316189111?pwd=b2NxcG1xcHRsKzg4MmxyT1M1aGlmUT09"><a style="border-radius:10px;font-family:-apple-system, Helvetica, Arial, sans-serif;display:block;-webkit-user-select:none;width:300px;user-select:none;-webkit-user-modify:read-only;user-modify:read-only;overflow:hidden;text-decoration:none;" class="lp-rich-link" rel="nofollow" href="https://protect-au.mimecast.com/s/q-KpC91WPRTmy9lY4ioOAHP?domain=monash.zoom.us" dir="ltr" role="button" draggable="false" width="300"><table style="table-layout:fixed;border-collapse:collapse;width:300px;background-color:#E5E6E9;font-family:-apple-system, Helvetica, Arial, sans-serif;" class="lp-rich-link-emailBaseTable" cellpadding="0" cellspacing="0" border="0" width="300"><tbody><tr><td vertical-align="center"><table bgcolor="#E5E6E9" cellpadding="0" cellspacing="0" width="300" style="font-family:-apple-system, Helvetica, Arial, sans-serif;table-layout:fixed;background-color:rgba(229, 230, 233, 1);" class="lp-rich-link-captionBar"><tbody><tr><td style="padding:8px 0px 8px 0px;" class="lp-rich-link-captionBar-textStackItem"><div style="max-width:100%;margin:0px 16px 0px 16px;overflow:hidden;" class="lp-rich-link-captionBar-textStack"><div style="word-wrap:break-word;font-weight:500;font-size:12px;overflow:hidden;text-overflow:ellipsis;text-align:left;" class="lp-rich-link-captionBar-textStack-topCaption-leading"><a rel="nofollow" href="https://protect-au.mimecast.com/s/q-KpC91WPRTmy9lY4ioOAHP?domain=monash.zoom.us" style="text-decoration: none" draggable="false"><font color="#272727" style="color: rgba(0, 0, 0, 0.847059);">Join our Cloud HD Video Meeting</font></a></div><div style="word-wrap:break-word;font-weight:400;font-size:11px;overflow:hidden;text-overflow:ellipsis;text-align:left;" class="lp-rich-link-captionBar-textStack-bottomCaption-leading"><a rel="nofollow" href="https://protect-au.mimecast.com/s/q-KpC91WPRTmy9lY4ioOAHP?domain=monash.zoom.us" style="text-decoration: none" draggable="false"><font color="#808080" style="color: rgba(0, 0, 0, 0.498039);">monash.zoom.us</font></a></div></div></td><td style="padding:6px 12px 6px 0px;" class="lp-rich-link-captionBar-rightIconItem" width="36"><a rel="nofollow" href="https://protect-au.mimecast.com/s/q-KpC91WPRTmy9lY4ioOAHP?domain=monash.zoom.us" draggable="false"><img style="pointer-events:none !important;display:inline-block;width:36px;height:36px;border-radius:3px;" width="36" height="36" draggable="false" class="lp-rich-link-captionBar-rightIcon" alt="zoom.ico" src="cid:04508682-C87C-4C0A-A7AE-08633D9A18C8"></a></td></tr></tbody></table></td></tr></tbody></table></a></div></div><div style="display: block;"><br></div><div style="display: block;">==============================================================</div><div style="display: block;">23/02/2023</div><div style="display: block;">Dr Enrico Camporeale</div><div style="display: block;">Title: The state-of-the-art of machine learning applications for space weather problems </div><div style="display: block;"><br></div><div style="display: block;"><p class="gmail-western" align="left" style="margin-bottom: 0in; font-variant-numeric: normal; font-variant-east-asian: normal; line-height: 16px; direction: ltr;">In the last few years machine learning techniques have proven capable of forecasting space weather events with a much higher accuracy with respect to long-used traditional empirical and physics-based models. Even though very few operational models are currently empowered by machine learning, it appears to be unavoidable that the community will embrace in the near future such powerful techniques. Indeed, it is hard to imagine the future of space weather without machine learning. Presently, we are moving one step further from the initial 'early-adopter' stage, where proof-of-principles models were elaborated and tested, and more consideration is being given to the issues of reliability, uncertainty, and trustworthiness of machine learning models, finding the right balance between physics priors and data-driven discovery.</p><p class="gmail-western" align="left" style="margin-bottom: 0in; font-variant-numeric: normal; font-variant-east-asian: normal; line-height: 16px; direction: ltr;">In this talk I will present the state-of-the-art of machine learning applications for space weather problems and will discuss a few challenges and opportunities that this field presents to us.</p><p class="gmail-western" align="left" style="margin-bottom: 0in; font-variant-numeric: normal; font-variant-east-asian: normal; line-height: 16px; direction: ltr;"><br></p><div><div><div> the zoom link </div><div><div class="apple-rich-link" draggable="true" role="link" data-url="https://monash.zoom.us/j/82781956026?pwd=RWF4SVFCUkFJcDBuREg0a3JVZzVIdz09" style="-webkit-user-select: all; -webkit-user-drag: element; display: inline-block;"><a class="lp-rich-link" rel="nofollow" href="https://protect-au.mimecast.com/s/sF0rC0YKPvi2OZ7rNhDNbYf?domain=monash.zoom.us" dir="ltr" role="button" draggable="false" width="300" style="border-radius: 10px; font-family: -apple-system, Helvetica, Arial, sans-serif; display: block; -webkit-user-select: none; width: 300px; -webkit-user-modify: read-only; overflow: hidden; text-decoration: none;"><table class="lp-rich-link-emailBaseTable" cellpadding="0" cellspacing="0" border="0" width="300" style="table-layout: fixed; border-collapse: collapse; width: 300px; background-color: rgb(229, 230, 233);"><tbody><tr><td vertical-align="center"><table bgcolor="#E5E6E9" cellpadding="0" cellspacing="0" width="300" class="lp-rich-link-captionBar" style="table-layout: fixed;"><tbody><tr><td class="lp-rich-link-captionBar-textStackItem" style="padding: 8px 0px;"><div class="lp-rich-link-captionBar-textStack" style="max-width: 100%; margin: 0px 16px; 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width: 36px; height: 36px; border-radius: 3px; opacity: 1; pointer-events: none !important;"></a></td></tr></tbody></table></td></tr></tbody></table></a></div></div></div><br class="Apple-interchange-newline"></div><table border="0" cellpadding="0" cellspacing="0" align="center" style="caret-color: rgb(57, 57, 77); color: rgb(57, 57, 77); font-family: Arial; font-size: 13px; width: 536px;"><tbody><tr><td style="width: 117.90625px; vertical-align: top; line-height: 20px;">Meeting ID:</td><td style="vertical-align: top; line-height: 20px; padding-bottom: 5px;">827 8195 6026</td></tr><tr><td style="width: 117.90625px; vertical-align: top; line-height: 20px;">Passcode:</td><td style="vertical-align: top; line-height: 20px; padding-bottom: 5px;">795960</td></tr></tbody></table><div><div><br></div></div></div><div style="display: block;">=================================================================</div><div style="display: block;"><div>Second Part of the Workshop:</div><div><br></div><div><div class="apple-rich-link" draggable="true" role="link" data-url="https://www.monash.edu/science/schools/school-of-mathematics/events/dl4sr" style="-webkit-user-select: all; 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font-size: 12px; overflow: hidden; text-overflow: ellipsis;"><a rel="nofollow" href="https://protect-au.mimecast.com/s/7sG9CgZ0N1ilXpoYEc2F1R8?domain=monash.edu" draggable="false" style="text-decoration: none;"><font style="color: rgba(0, 0, 0, 0.847);">1st Workshop on Deep Learning Algorithms for Space Research and Data Imaging</font></a></div><div class="lp-rich-link-captionBar-textStack-bottomCaption-leading" style="overflow-wrap: break-word; font-size: 11px; overflow: hidden; text-overflow: ellipsis;"><a rel="nofollow" href="https://protect-au.mimecast.com/s/7sG9CgZ0N1ilXpoYEc2F1R8?domain=monash.edu" draggable="false" style="text-decoration: none;"><font style="color: rgba(0, 0, 0, 0.498);">monash.edu</font></a></div></div></td><td class="lp-rich-link-captionBar-rightIconItem" width="36" style="padding: 6px 12px 6px 0px;"><a rel="nofollow" href="https://protect-au.mimecast.com/s/7sG9CgZ0N1ilXpoYEc2F1R8?domain=monash.edu" draggable="false"><img id="<B5F5FF6B-67A3-45A1-B89C-9C886BFF06CA>" src="cid:7ED9CE95-4E64-40EE-8694-E65B3173C65D" alt="favicon-152.png" draggable="false" class="lp-rich-link-captionBar-rightIcon Apple-web-attachment" style="display: inline-block; width: 36px; height: 36px; border-radius: 3px; opacity: 1; pointer-events: none !important;"></a></td></tr></tbody></table></td></tr></tbody></table></a></div></div><div>====================</div><div><br></div><div><div style="display: block;"><div style="-webkit-user-select: all; -webkit-user-drag: element; display: inline-block;" class="apple-rich-link" draggable="true" role="link" data-url="https://www.youtube.com/@DeepLearningSpaceMonashUni/channels"><a style="border-radius:10px;font-family:-apple-system, Helvetica, Arial, sans-serif;display:block;-webkit-user-select:none;width:228px;user-select:none;-webkit-user-modify:read-only;user-modify:read-only;overflow:hidden;text-decoration:none;" class="lp-rich-link" rel="nofollow" href="https://protect-au.mimecast.com/s/hVpeCjZ1N7ijLPByoI7HWA_?domain=youtube.com" dir="ltr" role="button" draggable="false" width="228"><table style="table-layout:fixed;border-collapse:collapse;width:228px;background-color:#E5E6E9;font-family:-apple-system, Helvetica, Arial, sans-serif;" class="lp-rich-link-emailBaseTable" cellpadding="0" cellspacing="0" border="0" width="228"><tbody><tr><td vertical-align="center" align="center"><img style="width:228px;filter:brightness(0.97);height:228px;" width="228" height="228" draggable="false" class="lp-rich-link-mediaImage" alt="1rnjzw1Y3TxE7r9rmbMfTjP6Ue187a9eGHtihdn_8Yc9wRHyJm_KmmtxsHd8KLmOTeqQ5kqfc5s=s900-c-k-c0x00ffffff-no-rj.jpeg" src="cid:836C0867-A1AD-484A-AAF2-C154BF581CC4"></td></tr><tr><td vertical-align="center"><table bgcolor="#E5E6E9" cellpadding="0" cellspacing="0" width="228" style="font-family:-apple-system, Helvetica, Arial, sans-serif;table-layout:fixed;background-color:rgba(229, 230, 233, 1);" class="lp-rich-link-captionBar"><tbody><tr><td style="padding:8px 0px 8px 0px;" class="lp-rich-link-captionBar-textStackItem"><div style="max-width:100%;margin:0px 16px 0px 16px;overflow:hidden;" class="lp-rich-link-captionBar-textStack"><div style="word-wrap:break-word;font-weight:500;font-size:12px;overflow:hidden;text-overflow:ellipsis;text-align:left;" class="lp-rich-link-captionBar-textStack-topCaption-leading"><a rel="nofollow" href="https://protect-au.mimecast.com/s/hVpeCjZ1N7ijLPByoI7HWA_?domain=youtube.com" style="text-decoration: none" draggable="false"><font color="#272727" style="color: rgba(0, 0, 0, 0.847059);">Deep Learning For Space Research at MonashU</font></a></div><div style="word-wrap:break-word;font-weight:400;font-size:11px;overflow:hidden;text-overflow:ellipsis;text-align:left;" class="lp-rich-link-captionBar-textStack-bottomCaption-leading"><a rel="nofollow" href="https://protect-au.mimecast.com/s/hVpeCjZ1N7ijLPByoI7HWA_?domain=youtube.com" style="text-decoration: none" draggable="false"><font color="#808080" style="color: rgba(0, 0, 0, 0.498039);">youtube.com</font></a></div></div></td></tr></tbody></table></td></tr></tbody></table></a></div></div><br></div><div><br></div><div><br></div><div></div><div>====</div></div><div><div>Alina Donea, Dr<br>Senior Lecturer in Solar Physics and Applied Mathematics<br>School of Mathematics, Monash University<br>phone:03 9905 4488<br>www: <a href="https://protect-au.mimecast.com/s/POYZCk81N9tnV1Kq2sJaHrR?domain=research.monash.edu">https://research.monash.edu/en/persons/alina-donea</a><br>BSc and Diploma Physics, PhD Mathematics and Astronomy, GCHE Monash<br>Member of IAU, ASA, AIP-Solar Terrestrial and Space Physics , Solar Physics Advisory Board member<br>Associate Editor: Frontiers Astronomy and Space Sciences <br>Editor of Earth and Space Science<br>Chair of the Space and Terrestrial and Solar Physics Group, Australian Institute of Physics</div>
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