Events

IEEE Mini-Conference Are you interested in IEEE technical societies? Don’t miss this opportunity to discover cutting-edge technologies through a mini conference featuring 2 professors and 4 graduate students on diverse subject like terahertz wave, machine learning, RF circuits and others electrical and software engineering topics. Free pizza provided for all participants! ETS - A-1300 – March 10 at 12:00 PM (Noon) Co-sponsored by: MTTS - ETS Agenda: 12:00 PM – 12:15 PM : Check-in & Pizza 12:15 PM – 12:20 PM : Opening Remarks 12:20 PM – 12:45 PM : Faculty "Keynote" Session (20 min + Q&A) - 12:20 – 12:30: Richard Al Hadi – RF circuits - (10 min talk + 5 min Q&A) - 12:35 – 12:45: Waël Jaafar - AI - (10 min talk + 5 min Q&A) 12:45 PM – 1:10 PM : Graduate Student Lightning Talks (20 min + Q&A) - 4 grad students will talk about their research focus in 5 mins format 1:10 PM – 1:15 PM : Closing Words 1:15 PM – 1:30 PM : Free time Room: A-1300, Bldg: A, 1100 R. Notre Dame O, Montréal, QC H3C 1K3, Montréal, Quebec, Canada, H3C 1K3

Quantum Dot Lasers Integrated via Optical Interconnects Using 3D-Printed Structured Microlenses and Photonic Wire Bonding Abstract: Hybrid-integrated quantum dot (QD) coherent comb lasers provide broad bandwidth and high coherence, making them attractive for demanding applications such as precision metrology, high-capacity optical communications, and quantum information processing, especially when integrated with photonic integrated circuits (PICs). Various approaches have been explored to integrate III–V gain devices with silicon photonics, including monolithic, heterogeneous, and hybrid integration. However, each method faces challenges in reproducibility, scalability, and coupling efficiency. Recently, 3D-printed structures, including micro-lens and photonic wire bonding (PWB), have emerged as a promising solution. In this approach, a femtosecond pulsed laser is used to directly write low-loss polymer waveguides in three dimensions. These 3D-printed structures significantly reduce alignment sensitivity, offering two to three orders of magnitude higher tolerance compared to techniques such as flip-chip bonding, which requires sub-micron alignment accuracy in all three axes. This high tolerance enables efficient and low-loss coupling between different optical interfaces, including optical fibers, surface-emitting lasers, and edge-emitting lasers. Here, we demonstrate a co-packaging approach for hybrid-integrated QD multi-wavelength coherent comb lasers using PWB and 3D-printed micro-lens structures. Experimental results show stable comb mode locking, narrow optical linewidths, and low relative intensity noise, while maintaining a compact footprint. This work paves the way for robust hybrid photonic platforms for applications in quantum technologies, precision metrology, and advanced optical communications. ------------------------------------------------------------------------ Lasers à points quantiques intégrés via des interconnexions optiques utilisant des microlentilles structurées imprimées en 3D et la liaison par fil photonique Résumé: Les lasers à peigne de fréquences cohérents à points quantiques (PQ) hybrides offrent une large bande passante et une grande cohérence, ce qui les rend particulièrement intéressants pour des applications exigeantes telles que la métrologie de précision, les communications optiques à haut débit et le traitement de l’information quantique, notamment lorsqu’ils sont intégrés à des circuits photoniques intégrés (PIC). Différentes approches ont été explorées pour intégrer des dispositifs à gain III-V à la photonique sur silicium, notamment l’intégration monolithique, hétérogène et hybride. Cependant, chaque méthode présente des défis en termes de reproductibilité, d'évolutivité et d'efficacité de couplage. Récemment, les structures imprimées en 3D, notamment les microlentilles et le câblage photonique (PWB), sont apparues comme une solution prometteuse. Dans cette approche, un laser pulsé femtoseconde est utilisé pour écrire directement des guides d'ondes polymères à faibles pertes en trois dimensions. Ces structures imprimées en 3D réduisent considérablement la sensibilité à l’alignement, offrant une tolérance de deux à trois ordres de grandeur supérieure à celle de techniques telles que le flip-chip, qui exige une précision d’alignement submicronique sur les trois axes. Cette tolérance élevée permet un couplage efficace et à faibles pertes entre différentes interfaces optiques, notamment les fibres optiques, les lasers à émission de surface et les lasers à émission par tranche. Nous présentons ici une approche de co-encapsulation pour des lasers à peigne de fréquences cohérents multi-longueurs d'onde à points quantiques intégrés hybrides, utilisant des circuits imprimés et des structures de microlentilles imprimées en 3D. Les résultats expérimentaux démontrent un verrouillage de mode stable du peigne, des largeurs de raie optiques étroites et un faible bruit d'intensité relative, tout en conservant un encombrement réduit. Ces travaux ouvrent la voie à des plateformes photoniques hybrides robustes pour des applications dans les technologies quantiques, la métrologie de précision et les communications optiques avancées. In order to promote more open discussions/interactions, at the end of the presentation and Q/A, we will allow other experts in this field (modeling of semiconductor laser) to present very briefly their work (1 slide, 2 min max) or their company. / Afin de favoriser des discussions/interactions plus ouvertes, à la fin de la présentation et des questions/réponses, nous permettrons aux experts de ce domaine (modélisation de lasers semi-conducteurs) de présenter très brièvement leurs travaux (1 diapositive, 2 min max) ou leur compagnie. 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. Speaker(s): Francis Duhamel, Guocheng Liu Virtual: https://events.vtools.ieee.org/m/544407

Bonjour, La section IEEE de Montréal vous invite à la réunion du conseil d'administration qui aura lieu à l'Université Concordia le 27 mars 2026, de 17 h 30 à 20 h 00. Nous aurons également de la pizza ! :) Rejoignez-nous pour des discussions et échangez avec les membres de toutes les institutions. Sincèrement, La section IEEE de Montréal --------------------------- Dear all, IEEE Montreal Section is inviting you to the board meeting, which will take place in Concordia University on 27 March 2026, 17:30 - 20:00. We'll also have pizza! :) Join us in discussions and engage with members from all institutions. Sincerely, IEEE Montreal Section Co-sponsored by: Amro Alsabbagh Room: EV002.184, Bldg: EV002.184, Concordia University, Montreal, Quebec, Canada

[] To address the issue of limited accessibility to expert skin screening by skin specialists and alleviate the strain on the public healthcare system due to unnecessary invasive procedures, such as biopsies, we propose the development of a low-cost and hand-held probe device to accurately identify skin cancer non-invasively. The proposed device will reduce the pressure on the overall public health care system whilst specifically aiding underserved rural communities by providing an easy-to-use alternative for accurate skin cancer screening. To design the hand-held probe, the dielectric characteristics of healthy, benign and malignant (cancerous) skin tissue have to be known. Previous literature has reported properties for healthy skin and several benign and malignant pathologies (squamous and basal cell carcinoma; two types of skin cancer), but the dielectric properties of melanoma (another type of skin cancer) have only been reported below 8.5 GHz. Initial tests that our collaboration conducted show promising results for a significant contrast in dielectric properties of healthy skin and melanoma that would support the effort to develop a skin cancer probe. The first resonator for the hand-held low-cost prototype was designed in a simulation software that is specialized to study interactions of electromagnetic waves and biological tissues, such as healthy and cancerous skin. In parallel, we developed a laboratory model that can mimic the properties of healthy and diseased skin tissues. The developed probe has been validated on the laboratory model of skin. The goal of this research is to provide an easy-to-use, hand-held, low-cost device to allow for skin cancer screening in GP clinics in cities and rural communities. The innovation will allow for early detection and increased patient outcomes while relieving pressure on the public health system, by raising the accuracy of correct identification of skin cancer of a GP to that of a highly specialised dermatologist. Speaker(s): Lena, Room: 321, Bldg: Duff Medical Building, 3775 Rue University, Montreal, Quebec, Canada, Virtual: https://events.vtools.ieee.org/m/543954

Abstract: Artificial intelligence and combinatorial optimization problems—such as drug discovery and prime factorization—remain challenging even for advanced computers. We are attempting to address these limitations by building photonic processors inspired by the brain—photonic neural networks—which utilize light for faster and more energy-efficient processing . We will discuss photonic networks, including Ising machines enabled by thin-film lithium niobate photonics , highlighting their applications in number partitioning, protein folding, wireless communications, and deep learning. Time permitting, we will briefly introduce a quantum photonic neural network that can learn to act as near-perfect components of quantum technologies and discuss the role of weak nonlinearities . Shastri, B.J. et al. Photonics for artificial intelligence and neuromorphic computing. Nature Photonics 15 (2021) Al-Kayed, N. et al. Programmable 200 GOPS Hopfield-inspired photonic Ising machine. Nature 648 (2025) Ewaniuk, J et al. Imperfect quantum photonic neural networks. Advanced Quantum Technologies (2023) . Co-sponsored by: Prof. Nicolas Quesada Speaker(s): Bhavin J. Shastri J. Armand Bombardier J-1035, Polytechnique Montréal, Montréal, Quebec, Canada, H3T 1J4