International Pi Day - “Lighting the way with Microscopy”
2022-03-14 19:00 - 20:00 (Australia/Sydney) | ONLINE
Watch the full recording here: https://youtu.be/sO2fIGSiAE8

Technion Australia is pleased to invite you to
Celebrate International Pi Day

Special Free Webinar
Monday 14 March 7-8pm Sydney/Melbourne

“Lighting the way with Microscopy”
(A Pi special)
Presented by
Professor Yoav Shechtman and Dr Onit Alalouf

From Technion’s Nano-Bio-Optics Lab

What is Pi Day and why do we celebrate it?
It is a day to celebrate the mathematical constant pi (π) and to eat lots of pie. Pi Day celebrates the mathematical constant π (3.14). It is celebrated because the digits in the date, March 14 or 3/14, are the first three digits of π (3.14)
Professor Yoav Shechtman is Head of Technion’s Nano Bio-Optics Laboratory which has 15 members, researchers and students, at the Technion where he graduated with a BSc and his PhD. He undertook Post-Doctoral research at Stanford University. His research interests include:

Optical super-resolution microscopy – experimental methods and algorithms
Multi-color and three-dimensional nano-tracking
Optical design and analysis through machine learning
Fluorescence microscopy

Dr Onit Alalouf, is the Laboratory Manager and Research Associate in the Department of Biomedical Engineering at the Technion. She obtained her PhD at Technion’s Department of Biotechnology & Food Engineering, MSc at University College, London and BSc at the University of Hertfordshire. Dr Alalouf holds a patent in the diagnostics research area and is the recipient of a number of awards for her research.
To register press this button

Artificial Intelligence (AI) for Remote Patient Monitoring
2022-05-31 19:00 - 20:00 | ONLINE
Special Free Webinar
Tuesday 31.5.2022- 7PM Sydney/Melbourne
Artificial Intelligence for Remote Patient Monitoring
Connecting the dots between Australia and Israel
Following a recent collaboration agreement signed between Technion and the Ingham Institute, come and learn how we can leverage AI to monitor and asses a patient from afar.

Dr. Behar is heading the Artificial Intelligence in Medicine Laboratory (AIMLab.) at the Technion faculty of Biomedical Engineering, Haifa, Israel. The lab focuses on the usage of machine learning in medicine within the context of physiological time series analysis with a specific focus in cardiology, sleep medicine and ophthalmology. Dr. Behar is also the founding director of the Technion-Rambam Center for Artificial Intelligence in Healthcare (CAIH). Dr. Behar is twice winner of the MIT-PhysioNet/Computing in Cardiology competition. He has authored and co-authored over 47 journal papers in leading engineering, physiology and medical journals (h-index: 27) and contributed many open access databases of physiological waveform and open source code (e.g. PhysioZoo, fecgsyn). He is the cofounder of SmartCare Analytics. He serves as editor for the journal Physiological Measurement and has been on the program committee of the Computing in Cardiology international conference since 2013. Joachim holds a PhD in biosignals processing and machine learning from the university of Oxford which was completed under the supervision of Prof. Gari D. Clifford and Dr. Julien Oster. He holds a MEng from l’Ecole Nationale Superieure des Mines de Saint-Etienne in France in Engineering. He completed his postdoctoral study in computational physiology under the guidance of Prof. Yael Yaniv at the Technion where he worked on mathematical modelling of sinoatrial node cells.

Melbourne - Quantum Computing - A laymen discussion with Prof. Moti Segev
2023-02-08 18:30 - 20:00 | South Caulfield Synagogue, 45 Leopold St,, Caulfield South, Victoria, 3162, Australia
Quantum Computing: truth or hype?

Ordinary computers seem strong, powerful, but in fact that are very many problems that even combining all the computing power on Earth would not solve in a reasonable time (say, 50 years). One such example is the “traveling salesman”: how to find the optimal route (the route that would take the shortest time) between 100 destinations. Another example is drug design: we know the equations governing the molecules, but we can’t simulate their action because it is too complicated to compute with even the strongest computers. Yet another example is to break security codes within a reasonable time. But quantum computers in principle can do that. In the past decade, we have witnessed worldwide attempts to build quantum computers. Companies do that because many of them need to optimize designs (Amazon, IBM, Google, and many others). Governments do that because they want to break security codes. Pharmaceutical companies are interested because today drugs are designed through experimental “trial and error”. Is it therefore understandable why huge resources are being invested in constructing quantum computers, and quite a few companies often hold press releases where they declare their quantum computer has demonstrated superiority to classical computers. Is all of that true or just a hype? What is the true status of quantum computing? Will we have a useful quantum computer within the next decade: a computer that can actually do something useful? Finally, are there alternatives that can be used as interim solutions, until one day a useful quantum computer becomes a reality?
