UMass Dartmouth Calendar

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Sunday, April 30, 2023
« 4/5 - 5/3 »	Your Action is Needed - GIC Annual Enrollment Location: UMass Dartmouth , 285 Old Westport Road, Dartmouth, MA Contact: Benefits Description: The GIC has announced major changes to the benefits offered such as: -Tufts Navigator and Tufts Spirit will discontinue. If you do not select a new health plan by the close of business on May 3, you will be defaulted into a similar plan and you will not be able to make any changes until next year's open enrollment. -Two new plans are replacing the UniCare Basic plan -Some health plan options will change based on your place of residence -National Plan has changed from UniCare Basic to Harvard Pilgrim Access America -Other changes such as increased premiums, co-payments, new prescription provider, and new flex spending provider. Your action is needed prior to May 3 to ensure coverage continues to meet your needs. We strongly encourage you to attend one of the 2 remaining information sessions: -April 14th via Zoom from 10am - 11am. Registration is required, please register at: https://umassd.zoom.us/webinar/register/WN_wJifHgtbTZ6dHsi09VmBIA -April 20th at Main Auditorium from 2pm - 3pm. No registration is required Link: https://umassd.zoom.us/webinar/register/WN_wJifHgtbTZ6dHsi09VmBIA Topical Areas: Faculty, Staff and Administrators, Human Resources
Monday, May 1, 2023
10:00 AM - 2:00 PM	Human Resources-New Employee Orientation Location: > See description for location Contact: > See Description for contact information Description: This is an orientation for new employees. Foster Administration Building, Conference Room 229A Topical Areas: Staff and Administrators, Human Resources
« 4/5 - 5/3 »	Your Action is Needed - GIC Annual Enrollment Location: UMass Dartmouth , 285 Old Westport Road, Dartmouth, MA Contact: Benefits Description: The GIC has announced major changes to the benefits offered such as: -Tufts Navigator and Tufts Spirit will discontinue. If you do not select a new health plan by the close of business on May 3, you will be defaulted into a similar plan and you will not be able to make any changes until next year's open enrollment. -Two new plans are replacing the UniCare Basic plan -Some health plan options will change based on your place of residence -National Plan has changed from UniCare Basic to Harvard Pilgrim Access America -Other changes such as increased premiums, co-payments, new prescription provider, and new flex spending provider. Your action is needed prior to May 3 to ensure coverage continues to meet your needs. We strongly encourage you to attend one of the 2 remaining information sessions: -April 14th via Zoom from 10am - 11am. Registration is required, please register at: https://umassd.zoom.us/webinar/register/WN_wJifHgtbTZ6dHsi09VmBIA -April 20th at Main Auditorium from 2pm - 3pm. No registration is required Link: https://umassd.zoom.us/webinar/register/WN_wJifHgtbTZ6dHsi09VmBIA Topical Areas: Faculty, Staff and Administrators, Human Resources
Tuesday, May 2, 2023
« 4/5 - 5/3 »	Your Action is Needed - GIC Annual Enrollment Location: UMass Dartmouth , 285 Old Westport Road, Dartmouth, MA Contact: Benefits Description: The GIC has announced major changes to the benefits offered such as: -Tufts Navigator and Tufts Spirit will discontinue. If you do not select a new health plan by the close of business on May 3, you will be defaulted into a similar plan and you will not be able to make any changes until next year's open enrollment. -Two new plans are replacing the UniCare Basic plan -Some health plan options will change based on your place of residence -National Plan has changed from UniCare Basic to Harvard Pilgrim Access America -Other changes such as increased premiums, co-payments, new prescription provider, and new flex spending provider. Your action is needed prior to May 3 to ensure coverage continues to meet your needs. We strongly encourage you to attend one of the 2 remaining information sessions: -April 14th via Zoom from 10am - 11am. Registration is required, please register at: https://umassd.zoom.us/webinar/register/WN_wJifHgtbTZ6dHsi09VmBIA -April 20th at Main Auditorium from 2pm - 3pm. No registration is required Link: https://umassd.zoom.us/webinar/register/WN_wJifHgtbTZ6dHsi09VmBIA Topical Areas: Faculty, Staff and Administrators, Human Resources
1:00 PM - 2:15 PM	Summit Financial Reporting 101 - Review of Summit Financials Dashboards(Oracle BI) for Financial Reporting Location: Online Cost: Please watch the videos for Summit in the Event URL prior to class Contact: Jean Schlesinger Description: Review of Summit Financial Reporting Tool (Oracle BI) - Zoom Training Learn how to lookup Budget information Learn how to review Encumbrances and Expenses and export to Excel. Please register. Zoom Link and prerequisite video/handout will be sent upon Registration. Link: https://my.umassd.edu/group/procurement-videos Topical Areas: Training, audience: Faculty, audience: Staff
Wednesday, May 3, 2023
12:00 PM - 2:00 PM	ELE Master of Science Thesis Defense by Charles J. Berg Location: Science and Engineering Building , 285 Old Westport Road, Dartmouth, MA Cost: Free Contact: ECE: Electrical & Computer Engineering Department Description: Topic: A Comparison of Two Methods for Acoustic Rainfall Estimation in Buzzards Bay Location: Science & Engineering Building (SENG), Room 222 Zoom Conference Link: https://umassd.zoom.us/j/91683011749 Meeting ID: 916 8301 1749 Passcode: 646870 Abstract: Ma and Nystuen (2005) successfully detected and estimated rainfall at sea from passive underwater acoustics. They detected rain from three narrowband frequencies (5.4, 8.3, and 21 kHz), and then estimated log rainfall rate via a regression with energy in the 5 kHz band. Mallary et al. (2022) improved rainfall detection by exploiting broadband spectra while reducing the dimensionality through principal component analysis (PCA). This project moves beyond detection to estimate the rainfall using the PCA-reduced acoustic power spectra. This defense compares two estimation methods: regression and quantization. Both estimation techniques start with the binary detection of rainfall using a Support Vector Machine (SVM) decision boundary (Boser et al., 1992). After binary detection, the regression estimates the rain rate on the rain detections using a Linear Minimum Mean Square Error regression trained on the ground truth rain rate against the PCA-reduced PSDs. The quantizer optimizes 5 rainfall quantization levels using Lloyds Algorithm (1982), then trains a multiclass classifier on the acoustic PSDs exploiting Dietterich and Bakiri's error-correcting output codes (1995) with multiple binary SVM classifiers. The quantizer uses this multiclass classifier to group the binary rain detections into one of 5 rain rate ranges and then estimates the rain rate by quantizing each range, or class, to the levels defined by Lloyds algorithm. These methods are compared using 43 days of acoustic and meteorological data collected on a mooring in Buzzards Bay, MA. Advisor(s): Dr. John R. Buck, Chancellor Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. David A. Brown, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Amit Tandon, Professor, Department of Mechanical Engineering, UMASS Dartmouth NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public. *For further information, please contact Dr. John R. Buck at 508.999.9237 or via email at jbuck@umassd.edu Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
10:00 AM - 11:00 AM	Summer Financial Aid FAFSA Help Labs Location: Liberal Arts Building 202 Contact: > See Description for contact information Description: Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for FAFSA Help Labs in LARTS 202 on Wednesdays from 10am-11am for help filing your FAFSA and learning more about financial aid. Contact Mark Yanni myanni@umassd.edu Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate, Financial Aid
Thursday, May 4, 2023
8:00 AM - 11:00 PM	Final exams end Location: UMass Dartmouth , 285 Old Westport Road, Dartmouth, MA Cost: N/A Contact: Registrar's Office Description: Examinations end today. Link: http://www.umassd.edu/academiccalendar/ Topical Areas: Academic Calendar, Academic Calendar - Spring
3:00 PM - 5:00 PM	Faculty Senate Meeting Location: Online Contact: Faculty Senate Description: Please join the Faculty Senate for their May meeting where we discuss issues concerned with academic matters and matters relating to the intellectual life of the University of Massachusetts Dartmouth. The Faculty Senate meeting is open to the public; however, only elected Senators may vote on issues presented to the Senate. For your information, Senate members for AY 2022/2023 can be found at www.umassd.edu/faculty/senate/roster. If you missed any of our meetings or want to refresh your memory, the Faculty Senate has been recording its meetings, which are posted to the Senate website (www.umassd.edu/faculty/senate/minutes/). The meeting is hosted via Zoom. Please contact the Faculty Senate for the link. Topical Areas: Faculty, Staff and Administrators, Students, Faculty Senate
Friday, May 5, 2023
11:00 AM - 1:00 PM	ELEE Research Component of PhD Qualifier Exam by Lucio De Pra Location: Science and Engineering Building , 285 Old Westport Road, Dartmouth, MA Cost: Free Contact: ECE: Electrical & Computer Engineering Department Description: Topic: Exploration of Motion Compensation Techniques in ISAR Imaging Location: Science & Engineering Building (SENG), Room 212 Zoom Conference Link: https://umassd.zoom.us/j/99590335691 Meeting ID: 995 9033 5691 Passcode: 069225 Abstract: Current inverse synthetic aperture radar (ISAR) testing techniques for large targets has a need for significantly big spaces. More specifically the testing is done in anechoic chambers. This necessitates a significant cost along with a sizeable testing environment. One way to overcome this issue is to scale everything proportionally. This entails scaling the size of the target at use down and using proportionally higher electromagnetic (Emag) frequencies, since Maxwellâ€™s equations are invariant under dilation transformation. Proof of concept for a scaled down ISAR system has been recently achieved. This allows for an exploration in signal processing techniques which can yield enhanced cross-range resolution ISAR images. Advisor(s): Dr. Yifei Li, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Dayalan P. Kasilingam, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. David P. Rancour, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public. *For further information, please contact Dr. Yifei Li at 508.999.8841 or via email at yifei.li@umassd.edu Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
6:00 PM - 7:00 PM	SGA Award Ceremony Location: Woodland Commons Contact: Office of Student Affairs Description: Contact sgapres@umassd.edu for more information. Topical Areas: Students
3:00 PM - 4:00 PM	Summer Financial Aid FAFSA Help Zoom Labs Location: > See description for location Contact: > See Description for contact information Description: Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for FAFSA Help Labs via Zoom on Fridays from 3-4pm for help filing your FAFSA and learning more about financial aid. Contact Mark Yanni myanni@umassd.edu Join Zoom Meeting https://umassd.zoom.us/j/97888455259?pwd=MjNiSmsvY2N0Mk1UNGhSL2ttM0g2UT09 Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate, Financial Aid
2:00 PM - 4:00 PM	CPE Master of Science Thesis Defense by Zakaria Faddi Location: Science and Engineering Building , 285 Old Westport Road, Dartmouth, MA Cost: Free Contact: ECE: Electrical & Computer Engineering Department Description: Topic: Application of Reliability and Resilience Models to Machine Learning Location: Science & Engineering Building (SENG), Room 212 Zoom Link: https://umassd.zoom.us/j/91653003465 Meeting ID: 916 5300 3465 Passcode: 920989 Abstract: Machine Learning (ML) systems such as Convolutional Neural Networks (CNNs) are susceptible to adversarial scenarios. In these scenarios, an attacker attempts to manipulate or deceive a machine learning model by providing malicious input resulting in incorrect predictions or decisions, which can have severe consequences in security, healthcare, and finance applications. Failures in the ML algorithm can lead to failures in the application domain and the system to which they provide functionality, which may possess performance requirements, hence the need for software reliability and resilience assessment. Many studies propose enhanced techniques to improve the robustness and resilience of ML algorithms. Yet very few provide quantitative methods that promote risk assessment or measure progress toward improvements in such systems. This research demonstrates the applicability of software reliability and resilience tools to ML algorithms providing an objective approach to assess reliability and resilience recovery after a degradation from known adversarial attacks. An image classification model using CNNs has been created as the target of two generative adversarial attacks (i) the Fast Gradient Sign Method and (ii) the Projected Gradient Descent. The classifier and adversarial attacks were utilized in a min-max game scenario to replicate incremental learning and adaptive adversarial training, to minimize/maximize the number of failures of the classification algorithm. Model-generated data was collected and prepared in a format suitable for software reliability growth models (SRGM) with and without covariates and resilience models, including failure counts, memory usage, and the intensity of noise added by the attacks. Our results suggest that tools incorporating SRGMs, and resilience techniques are suitable for quantifying and predicting the resilience and reliability of ML models and may find practical use in many domains in which these models are applied. Advisor(s): Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Hong Liu, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Gokhan Kul, Assistant Professor, Department of Computer & Information Science, UMASS Dartmouth NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public. *For further information, please contact Dr. Lance Fiondella at 508.999.8596 or via email at lfiondella@umassd.edu Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
1:00 PM - 2:30 PM	Inquiring on Budgets and Running PeopleSoft Financial Reports Location: Online Contact: Jean Schlesinger Description: Learn how to run PeopleSoft Financial Reports GL7045 Revenue and Expense, GM7047 Rev and Expense Projects, GL7062 Transaction Detail Report and GL7079 open Encumbrance Report and look up your budget. Watch Accounting 101 Video prior to the event. Zoom Link and prerequisite video/handout will be sent upon registration. Link: https://my.umassd.edu/group/procurement-videos Topical Areas: audience: Staff, audience: Faculty, Training
Saturday, May 6, 2023
10:00 AM - 1:00 PM	ALANA Graduation Location: The Marketplace Contact: > See Description for contact information Description: UMass Dartmouth celebrates African American, Latino, Asian and Native American graduates of color. Contact: Donna Moore, dmoore@umassd.edu or 508-999-9222 Sponsored by the Frederick Douglass Unity House & BH4S Topical Areas: Alumni, General Public, University Community, Black History 4 Seasons

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Week of April 30, 2023

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