Navigating the Transition from Academia to the Professional World: Strategies for Success and Tackling Your First Job

Virtual: https://events.vtools.ieee.org/m/433983

As part of an initiative to empower and support young professionals, students, and new graduates, we are hosting a panel discussion featuring three expert panelists. The discussion will explore the transition from academia to the professional world and strategies for skill development. It will also highlight insights from life coaches and professional leaders on personal development and networking to help STEM students and young professionals enhance their leadership and networking skills. [] Speaker(s): Zhila Pirmoradi, Tania De Ridder, Omid Ziaee Virtual: https://events.vtools.ieee.org/m/433983

PreFab: Image-to-Image Computer Vision for Advanced Nanophotonic Fabrication and Design

Virtual: https://events.vtools.ieee.org/m/433675

PreFab: Image-to-Image Computer Vision for Advanced Nanophotonic Fabrication and Design Abstract: PreFab is an image-to-image computer vision system designed to predict and correct nanofabrication variations in integrated photonic circuits. Utilizing convolutional neural networks (CNNs) trained on GDS design files and scanning electron microscope (SEM) images, PreFab enables precise transformations such as fabrication variation prediction, automatic design correction, SEM segmentation, and SEM styling. This system enhances the manufacturability and fidelity of complex photonic circuits by anticipating deviations like erosion, dilation, and edge uncertainties, and compensating for these during the design phase. Additionally, it facilitates post-fabrication analysis through SEM segmentation, allowing for accurate performance analysis. PreFab's methodology aims to minimize fabrication cycles, enhance design fidelity, and adapt to diverse nanophotonic manufacturing techniques, positioning it as a useful tool for the advancement of next-generation photonic technologies. ------------------------------------------------------------------------ PreFab : Vision par ordinateur image à image pour la fabrication et la conception nanophotoniques avancées Résumé : PreFab est un système de vision par ordinateur image à image conçu pour prédire et corriger les variations de nanofabrication dans les circuits photoniques intégrés. En utilisant des réseaux neuronaux convolutionnels (CNN) formés sur des fichiers de conception GDS et des images de microscope électronique à balayage (SEM), PreFab permet des transformations précises telles que la prédiction des variations de fabrication, la correction automatique de la conception, la segmentation SEM et le style SEM. Ce système améliore la fabricabilité et la fidélité des circuits photoniques complexes en anticipant les écarts tels que l'érosion, la dilatation et les incertitudes de bord, et en les compensant pendant la phase de conception. De plus, il facilite l'analyse post-fabrication grâce à la segmentation SEM, permettant une analyse précise des performances. La méthodologie de PreFab vise à minimiser les cycles de fabrication, à améliorer la fidélité de la conception et à s'adapter à diverses techniques de fabrication nanophotonique, le positionnant comme un outil utile pour l'avancement des technologies photoniques de nouvelle génération. [] Dr. Dusan Gostimirovic (PreFab Photonics) About / A propos The High Throughput and Secure Networks (HTSN) Challenge program is hosting regular virtual seminar series to promote scientific information sharing, discussions, and interactions between researchers. https://nrc.canada.ca/en/research-development/research-collaboration/programs/high-throughput-secure-networks-challenge-program Le programme Réseaux Sécurisés à Haut Débit (RSHD) organise régulièrement des séries de séminaires virtuels pour promouvoir le partage d’informations scientifiques, les discussions et les interactions entre chercheurs. https://nrc.canada.ca/fr/recherche-developpement/recherche-collaboration/programmes/programme-defi-reseaux-securises-haut-debit Co-sponsored by: National Research Council, Canada. Optonique. Speaker(s): Dusan Gostimirovic, Virtual: https://events.vtools.ieee.org/m/433675

Invited Talk by Dr. Hassan Khalil: High-Gain Observers in Nonlinear Feedback Control

Room: EV002.184, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8

The Montreal Chapters of the IEEE Control Systems (CS) and Systems, Man & Cybernetics (SMC) cordially invite you to attend the following in-person talk, to be given by Dr. Hassan Khalil, distinguished Professor Emeritus of Electrical and Computer Engineering, Michigan State University (MSU). Co-sponsored by: Concordia University Speaker(s): Dr. Hassan K. Khalil Room: EV002.184, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8

AMA (Ask me Anything) on Data Privacy, Machine Unlearning, and more with Prof. Gautam Kamath (IEEE Day event)

Virtual: https://events.vtools.ieee.org/m/431191

[] Free Registration (with a Zoom account; you can get one for free if you don't already have it): https://sjsu.zoom.us/meeting/register/tZEuc-GqrTsvGdGE6yu9qQCx1z2PyRVJZaDj Synopsis: After a brief intro highlighting issues and solutions for data privacy in machine learning settings, Prof. Gautam Kamath will answer your questions related to data privacy, machine unlearning, research, academia, career advice, and anything in between. Please feel free to check out the work and thoughts of Prof. Gautam Kamath, Ph.D. from MIT, http://www.gautamkamath.com/ on Google Scholar at https://scholar.google.com/citations?user=MK6zHkYAAAAJ&view_op=list_works&sortby=pubdate, YouTube https://www.youtube.com/results?search_query=gautam+kamath and generally on the Internet. Then, please feel free to submit your questions - via Twitter by using the hashtag, #KamathAMA and tagging @vishnupendyala - emailing vspendyala(at)hotmail(dot)com with #KamathAMA in the subject - during your registration on Zoom Selected questions will be answered by Prof. Kamath during the session. Audience may be able to ask follow-up questions during the session, using the Chat feature.. Speaker(s): Dr. Gautam Kamath, Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/431191

Careers in Technology Fall Series 2024 – Paul Berger, PhD 01 October 8pm EST / 7 pm CST

Virtual: https://events.vtools.ieee.org/m/434305

[] On this celebratory IEEE Day, let us rejoice in the combined IEEE worldwide activities of 39 technical societies and 7 interdisciplinary councils on one side of the IEEE coin, balanced with local sections and student chapters, bringing a physical presence of IEEE to local communities. By the way, one could argue that IEEE also has a 3rd leg into humanitarian activities. These S/C span a great swathe from hardware to software, including electronic devices, solar/wind energy production, power transmission, control theory, image compression, signal processing, and computer architecture. One could say this moves from applied physics to applied math. However, this session drills down to predominantly 1 of these societies, the electron device society, where the field of semiconductor materials and devices thrives. So, with the USA's Chips and Science Act to onshore semiconductor chip manufacturing, what does this mean to you and your communities. First, the Chips portion supports semiconductor companies to build or expand domestic chip production. The Science portion aims to perform workforce development to populate those factories. Where will this new workforce come from and what do you need to do to prepare for your future? This talk aims to take a critical look at the opportunities before you in the semiconductor industry. With time permitting and audience interest, some discussion in humanitarian roles IEEE plays will also be discussed. Speaker(s): Paul Berger, PhD Virtual: https://events.vtools.ieee.org/m/434305