BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Mechanical & Industrial Engineering - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Department of Mechanical & Industrial Engineering
X-ORIGINAL-URL:https://mie.northeastern.edu
X-WR-CALDESC:Events for Department of Mechanical & Industrial Engineering
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220304T110000
DTEND;TZID=America/New_York:20220304T120000
DTSTAMP:20260408T010944
CREATED:20220216T200737Z
LAST-MODIFIED:20220222T235806Z
UID:5414-1646391600-1646395200@mie.northeastern.edu
SUMMARY:MathWorks Week: AI for Humans
DESCRIPTION:Join MathWorks engineers and Northeastern faculty for these insightful seminars in Climate Change\, Quantum Computing\, and AI. \n\nAI for Humans\nFriday\, March 4\, 11 am – 12 pm\nRegister: MathWorksNUSymposiumAI.eventbrite.com \nFundamentals of AI\nNeha Sardesai\, MathWorks \nHow to apply machine learning and deep learning to images and signals. You’ll see how MATLAB® provides an environment to apply advanced techniques without requiring coding or experience in machine learning and deep learning. \nInvariant Representation Learning for Human Pose Estimation withSmall Data\nSarah Ostadabbas\, Professor\, Dept. of Electrical and Computer Engineering \nDescriptions of the state-of-the-art representation learning algorithms for visual perception tasks in the contexts of human pose estimation\, especially when we are facing problems where data collection or labeling is expensive (i.e. Small Data domains). \nMachine learning for retina image analysis for Retinopathy ofPrematurity (ROP) severity assessment.\nDeniz Erdogmus\, Professor\, Dept. of Electrical and Computer Engineering \nDiscussion of the use of active learning\, deep learning\, and Siamese neural networks to develop deep neural network models for automated retina image analysis to diagnose and assess the severity of retinopathy of prematurity in babies born prematurely.
URL:https://mie.northeastern.edu/event/mathworks-week-at-northeastern-university-2022-03-04/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220303T150000
DTEND;TZID=America/New_York:20220303T160000
DTSTAMP:20260408T010944
CREATED:20220216T200737Z
LAST-MODIFIED:20220222T235653Z
UID:5412-1646319600-1646323200@mie.northeastern.edu
SUMMARY:MathWorks Week: Chemistry\, Deep Learning and Quantum Computing
DESCRIPTION:Join MathWorks engineers and Northeastern faculty for these insightful seminars in Climate Change\, Quantum Computing\, and AI. \n\nChemistry\, Deep Learning and Quantum Computing\nThursday\, March 3\, 3 pm – 4 pm\nRegister: MathWorksNUSymposiumQuantumComputing.eventbrite.com \nGraph Neural Networks for Chemistry Using MATLAB\nHossein Jooya\, MathWorks \nMATLAB’s new features in handling chemical structures\, from small organic molecules to proteins will be demonstrated. Graph-convolutional (GC) and graph-attention (GA) networks are explained with various examples from toxicity prediction to molecular optimization. Attendees will have access to the shared code modules and can adapt them for their own research with hand-in-hand support from MathWorks technical team. \nPhotonic Quantum Technologies\nSunil Mittal\, Professor\, Dept. of Electrical and Computer Engineering \nThis talk will discuss the generation\, manipulation\, and measurements of quantum states of light\, such as entangled photons\, for applications in photonic quantum computation\, quantum communications\, and sensing. \nDo You Trust Your Quantum Computers with Correct Answers?\nDevesh Tiwari\, Professor\, Dept. of Electrical and Computer Engineering \nNoisy Intermediate-Scale Quantum (NISQ) machines are increasingly being used to develop quantum algorithms and establish use cases for quantum computing. These devices\, however\, are highly error-prone and produce output which can be far from the correct output of the quantum algorithm. This talk will discuss some promising approaches towards estimating the correct program output on erroneous quantum devices.
URL:https://mie.northeastern.edu/event/mathworks-week-at-northeastern-university-2022-03-03/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220301T103000
DTEND;TZID=America/New_York:20220301T113000
DTSTAMP:20260408T010944
CREATED:20220216T200737Z
LAST-MODIFIED:20220222T235523Z
UID:5409-1646130600-1646134200@mie.northeastern.edu
SUMMARY:MathWorks Week: Climate\, Energy and the Built Environment
DESCRIPTION:Join MathWorks engineers and Northeastern faculty for these insightful seminars in Climate Change\, Quantum Computing\, and AI. \n\nClimate\, Energy and the Built Environment\nTuesday\, March 1\, 10:30 am – 11:30 am\nRegister: MathWorksNUSymposiumClimate.eventbrite.com \nInsights of climate changes from the Common Era: an Artificial Intelligence view\nJianghao Wang\, MathWorks \nThe rapid global warming seen in observations over the past 150 years shows nearly global coherence\, the spatiotemporal coherence of climate epochs earlier in the Common Era (the past 2\,000 years)\, however\, has yet to be robustly tested. Understanding how the climate system works and how historical temperature changes shed light on the study of anthropogenic climate change. \nModeling the Stochastic Dynamics of Rotating Wind Turbine Blades\nLuca Caracoglia\, Professor\, Dept. of Civil and Environmental Engineering \nThis presentation describes the results of recent research activities\, examining the dynamic modeling of wind turbine blades under the influence of various sources of input error and noise. The presentation will focus on the flutter phenomenon. Flutter is a flow-induced dynamic instability that results from the coupling between flap-wise bending mode and torsional mode of the rotating blade. \nLocating Damage in Structural Systems\nDennis Bernal\, Professor\, Dept. of Civil and Environmental Engineering \nThis presentation outlines the basic ideas behind some techniques used to localize damage applicable in cases where the structure is large\, and the number of sensors is small. Visual inspection has been the traditional procedure used to check the condition of structural systems but there is significant interest in devising ways to replace or enhance this approach by incorporating information from sensors.
URL:https://mie.northeastern.edu/event/mathworks-week-at-northeastern-university/
END:VEVENT
END:VCALENDAR