Will provide a high level brief overview of the solutions and algorithms evolved over the last several decades to solve the short term unit scheduling problem. The focus is on the practically most used solutions to power systems operations. The discussion will include priority merit list, dynamic programming, Linear Programming, Lagrangian relaxation, Augmented Lagrangian relaxation, and the game changer Mixed Integer Program (MIP). The mathematical breakthroughs and efficient search algorithms used in recent MIP commercial solvers made MIP the algorithm of choice widely adopted by the power systems industry to solve such highly complex, non-convex, and combinatorial optimization problem. The huge reduction in the MIP optimization solution time, the ease of mathematical constraints modeling, and the increased solution quality transformed the real-time applications and made it possible to model large number of complex resources’ types like combined cycle units, startup times and cost, transition time and cost, dynamic ramp rates as functions of resources MW. These advances in MIP made it possible to also include unprecedented large set of cross-resources and cross-time intervals coupling constraints such as transmission, and environment constraints in optimizing operations in day-ahead and real-time applications. As illustrative example, the presentation will highlight the current large-scale mathematical MIP model sizes, solution times, and the optimal MIP integer gaps achieved in both day-ahead and real-time market applications at the California ISO’s production system. Here are the details: (https://urldefense.com/v3/__https:/ieee-pes.org/calendar/ieee-pes-live-online-evolution-of-short-term-unit-scheduling-solutions-in-power-systems-operations/__;!!LFxIGwQ!222Ypzn-Mk1nWKO7i0zfc_ZKFEAcNHzJy95BO4--5z7Xnqclu9fqXDogiwl_MECf67zSVcnYVnJO1UYs0_0V-bKua8uV$) Speaker(s): Dr. Khaled Abdul-Rahman, Virtual: https://events.vtools.ieee.org/m/416996

The Electron Devices Society Santa Clara Valley/San Francisco joint Chapter is hosting Prof. Francesca Iacopi. The title of the lecture is ‘More-than-Moore miniaturisation with graphene and cubic silicon carbide’ When/Where: 17th Apr, 2024, 5:30 pm - 7:00 pm. Hybrid event (Venue: Parlor B, Benson Memorial Center, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053) (Benson Center is our student center and off-campus parking is a viable option, though not as safe as on-campus with a parking pass. We can arrange for free 2-hour parking for attendees. The parking permits can be picked up at the venue after they have parked their cars in the visitor lot.) Campus map can be found here: https://www.scu.edu/map/ Note: To attend in person and obtain a free parking permit, MUST RSVP before 4/14/2024 5PM If you face an issue with vtools registration send an email to hiuyung.wong at ieee.org to get the zoom link and indicate whether you are an IEEE member, IEEE EDS member, IEEE Student member Contact: hiuyung.wong at ieee.org Speaker: Prof. Francesca Iacopi Abstract: It is well known that harnessing graphene’s properties on a silicon platform could deliver a broad range of novel miniaturized andreconfigurable functionalities. It is less known that some key functionalities for MEMS/NEMS, nano-optics and metasurfaces can be uniquely unlocked by the combination of graphene and silicon carbide . Over the last decade, we have developed an epitaxial graphene on silicon carbide on silicon technology that inherently delivers both capabilities. This platform allows to fabricate any complex graphene flat or 3D nanopattern in a site – selective fashion, ie without etching of the graphene, at the wafer -scale and with sufficient adhesion for integration . We will review the learnings from the development of this technology and some of its most promising applications. We show that the sheet resistance of epitaxial graphene on 3C-SiC on silicon is comparable to that of epitaxial graphene on SiC wafers, despite substantially smaller grains. We also indicate that the control of the graphene interfaces, particularly when integrated, can be a more important factor than achieving large grain sizes . In addition, we show that well- engineered defects in graphene are preferable to defect -free graphene for most electrochemical applications. Promising examples of application of this technology in the More- than – Moore domain include integrated energy storage , MIR sensing and detection , and sensors for electro-encephalography for brain-computer interfaces .. B.Cunning et al, Nanotechnology 25 (32), 325301, 2014 E.Romero et al., Physical Review Applied 13 (4), 044007, 2020 P.Rufangura e al, Journal of Physics: Materials 3 (3), 032005, 2020 D.Katzmarek et al, Nanotechnology 34 (40), 405302, 2023 A.Pradeepkumar et al, ACS Applied Nano Materials 3 (1), 830-841, 2019 M.Amjadipour, D.Su and F.Iacopi, Batteries & Supercaps 3 (7), 587-595, 2020 P.Rufangura et al, Nanomaterials 11 (9), 2339, 2021 S.Faisal et al, Journal of Neural Engineering 18 (6), 066035, 2021 S.Faisal et al, ACS Appl. Nano Mater. 6 (7), 5440-5447, 2023 F.Iacopi and CT Lin, Progress in Biomedical Eng. 4 (4), 043002, 2022. Speaker Bio: Professor Francesca Iacopi is an IEEE Fellow with over 20 years’ industrial and academic research expertise in semiconductor technologies, with 160 peer-reviewed publications and 10 granted US patents, spanning interconnects, CMOS devices and packaging. Her research focuses on the translation of basic scientific advances in nanomaterials and novel device concepts into implementable integrated technologies. She is known for her seminal work on the integration of porous dielectrics in on-chip interconnects, and for the invention of the alloy -mediated epitaxial graphene platform on SiC/Si pseudo-substrates. She was recipient of an MRS Gold Graduate Student Award (2003), an Australian Research Council Future Fellowship (2012), a Global Innovation Award in Washington DC (2014) and was listed among the most innovative engineers by Engineers Australia (2018). Francesca is an IEEE EDS Distinguished Lecturer and serves regularly in technical and strategic committees for IEEE and the Materials Research Society. She is an Elected Member to the IEEE EDS Board of Governors (2021, 2024) and serves in the Editorial Advisory Board for ACS Applied Nanomaterials, and the IEEE The Institute magazine. She is also the inaugural Editor-in-Chief of the IEEE Trans. on Materials for Electron Devices (IEEE T-MAT). She leads the Integrated Nanosystems Lab, in the Faculty of Engineering and IT, University of Technology Sydney. She is a Chief Investigator of the CoE in Transformative Meta-Optical Systems (TMOS), funded by the Australian Research Council. ====================================================================== Speaker(s): Prof. Francesca Iacopi Agenda: When/Where: 17th Apr, 2024, 5:30 pm. Hybrid event (Venue: Parlor B, Benson Memorial Center, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053) Speaker: Prof. Francesca Iacopi Abstract: It is well known that harnessing graphene’s properties on a silicon platform could deliver a broad range of novel miniaturized andreconfigurable functionalities. It is less known that some key functionalities for MEMS/NEMS, nano-optics and metasurfaces can be uniquely unlocked by the combination of graphene and silicon carbide . Over the last decade, we have developed an epitaxial graphene on silicon carbide on silicon technology that inherently delivers both capabilities. This platform allows to fabricate any complex graphene flat or 3D nanopattern in a site – selective fashion, ie without etching of the graphene, at the wafer -scale and with sufficient adhesion for integration . We will review the learnings from the development of this technology and some of its most promising applications. We show that the sheet resistance of epitaxial graphene on 3C-SiC on silicon is comparable to that of epitaxial graphene on SiC wafers, despite substantially smaller grains. We also indicate that the control of the graphene interfaces, particularly when integrated, can be a more important factor than achieving large grain sizes . In addition, we show that well- engineered defects in graphene are preferable to defect -free graphene for most electrochemical applications. Promising examples of application of this technology in the More- than – Moore domain include integrated energy storage , MIR sensing and detection , and sensors for electro-encephalography for brain-computer interfaces .. B.Cunning et al, Nanotechnology 25 (32), 325301, 2014 E.Romero et al., Physical Review Applied 13 (4), 044007, 2020 P.Rufangura e al, Journal of Physics: Materials 3 (3), 032005, 2020 D.Katzmarek et al, Nanotechnology 34 (40), 405302, 2023 A.Pradeepkumar et al, ACS Applied Nano Materials 3 (1), 830-841, 2019 M.Amjadipour, D.Su and F.Iacopi, Batteries & Supercaps 3 (7), 587-595, 2020 P.Rufangura et al, Nanomaterials 11 (9), 2339, 2021 S.Faisal et al, Journal of Neural Engineering 18 (6), 066035, 2021 S.Faisal et al, ACS Appl. Nano Mater. 6 (7), 5440-5447, 2023 F.Iacopi and CT Lin, Progress in Biomedical Eng. 4 (4), 043002, 2022. ====================================================================== Room: Parlor B, Bldg: Benson Memorial Center, 500 El Camino Real, Santa Clara University, Santa Clara, California, United States, 95053, Virtual: https://events.vtools.ieee.org/m/411442

Being fresh out of grad school (FOOGS) in 1988, I reacted to PID controllers in the usual way for young Ph.D. recipients: with a certain “hands-off” smugness. Yet, as the years in industry wore on, I kept encountering these ubiquitous devices in practice and had to learn to deal with them, understand them, and roll my own. What I found led me to consider PIDs, not as a separate art from advanced methods, but as a fundamental building block which can be used as part of most controllers, simple or advanced. It seemed that – at least in the mechatronics world – PIDs were considered too simple for much interest in academia while practicing engineers didn’t seem to care why they were working. In the process world, where PIDs studied far more, the issues and methods of mechatronic PIDs seemed like obscure corner cases. Depending upon the teaching text, issues of sampling and digital representation may have been completely omitted. There were other surprises. While PIDs were almost universal and standard, they were almost never unified or standardized. Furthermore, what seemed to limit performance was not the structure of the controller itself, but the lack of accurate system/process models based on repeated physical system measurements. Finally, the mechatronic and process PID goals and foibles were not that different once one considered the different system, time constant, and measurement constraints. We will discuss these issues with the goal of getting a more unified view of PIDs across our application domains. We will provide a handful of common PID forms and show how they are related, so that we can approach any PID structure with the same analytical approach. We will finally look forward to how PIDs can be used, not only as a fundamental teaching tool for explaining control outside of our research circles, but as a critical component for advanced control methods. As the great Paul Simon might say, “Mama don’t take my PID away.” Speaker(s): Dr. Danny Abramovitch , Agenda: 5:45 - 6:15 : Networking and light dinner 6:15 - 7:15 : Talk and Q&A 7:15 - 7:45 : Networking Room: SCDI - 2116, Bldg: Sobrato Campus for Discovery and Innovation - SCDI, 500 El Camino Real , Santa Clara , California, United States, 95053

Learn about the basics of LoRa (Long Range) and LORAWAN communication systems and applications. Talk includes a live demo of LORA systems. [] Speaker(s): Dr. Dennis Derickson Room: Rm 4021, 500 El Camnino Real, Sobrato Campus for Discovery and Innovation, Santa Clara, California, United States, 95053