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Monday, May 16, 2022
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10:00 AM
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1:30 PM
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New Employee Orientation
- Location: > See description for location
- Contact: Human Resources
- Description: New Employee Orientation is held on a biweekly basis throughout the year for new employees of the University. Attendance at an Orientation session is a mandatory component of the onboarding process. This session will cover a wide range of topics to guide new employees in their transition to the University, including, but not limited to: HR policies; procedures; an overview of key departments and their functions, and detailed benefits information.
Location: LIB-314
- Topical Areas: Faculty, Staff and Administrators
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Tuesday, May 17, 2022
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7:00 PM
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8:00 PM
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Wednesday, May 18, 2022
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12:00 PM
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1:00 PM
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7:00 PM
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8:00 PM
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Its Ok Not to be Ok- A Discussion on the Impact of Mass Shootings and Targeted Racial Violence
- Location: > See description for location
- Cost: n/a
- Contact: > See Description for contact information
- Description: The mass shootings in Buffalo, New York and Laguna, California left us all feeling shocked, unsettled, and traumatized. Let's talk about the impact of racially motivated hate crimes and mass shootings and how we can best mange our emotions and move forward with realistic expectations and action items. Join us for a discussion with:
Erin Carter, Counseling
Dr. John Fohanjong, Political Science
Renee Ledbetter, New Bedford Shannon Program
Dr. Devon Lynch, Economics/Black Studies
Facilitated by Dr. Moise St Louis. Interim Associate Vice-Chancellor of Student Affairs
Register in advance for this meeting using the link below:
https://events.zoom.us/ev/DBBCO-myBhDw-_Vi1QAAFgAAAJcxQo8lbrhdekVbmJFCTuYIl7iQG0S2UGD-Mm7-GZGD6Q2Lj3p2~AMJtZ5yDARB7J_MC3eyHAzFNSe0wLBJjaoUASc4?lmt=1652828887000
After registering, you will receive a confirmation email containing information about joining the meeting
- Link: https://events.zoom.us/ev/DBBCO-myBhDw-_Vi1QAAFgAAAJcxQo8lbrhdekVbmJFCTuYIl7iQG0S2UGD-Mm7-GZGD6Q2Lj3p2~AMJtZ5yDARB7J_MC3eyHAzFNSe0wLBJjaoUASc4?lmt=1652828887000
- Topical Areas: Faculty, Staff and Administrators, Students, Students, Graduate, Students, Law, Students, Undergraduate
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10:00 AM
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11:00 AM
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Summer Financial Aid FAFSA Help 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 in LARTS 202 on Wednesdays from 10am to 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
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12:30 PM
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1:30 PM
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Maymester Workshop: Teaching Innovation across the Disciplines
- Location: Claire T. Carney Library, Office of Faculty Development
- Contact: Office of Faculty Development
- Description: Workshop: Teaching Innovation across the Disciplines
Wednesday, May 18, 2022
12:30-2:00 p.m.
LIB 213
Teaching and learning during the COVID-19 pandemic required us to rethink many of our teaching and learning strategies, often at rapid speed. Some of these innovations worked, others perhaps did not. In this workshop, we'll explore some of these innovations in pedagogy, course design, modality, and assessment. Drawing on some recent work in the scholarship of teaching and learning and guided by examples of teaching innovation from UMassD faculty, we'll look at some ways to rethink and refresh our approaches to everything from designing interactive lectures (both in the classroom and online), creating engaging active learning activities, writing clear and accessible learning outcomes, and exploring different kinds of assessment strategies ranging from small-stakes activities to higher-stakes exams and projects.
To register, please email Ellen Mandly at emandly@umassd.edu and declare your modality preference (in person or virtual). Lunch will be served for all in-person participants.
- Topical Areas: Faculty, Students, Graduate, Faculty Development
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Thursday, May 19, 2022
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1:00 PM
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3:00 PM
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Mechanical Engineering MS Thesis Defense by Mr. Aaron Mak
- Location: > See description for location
- Contact: Mechanical Engineering Department
- Description: Mechanical Engineering MS Thesis Defense by Mr. Aaron Mak
DATE:
May 19, 2022
TIME:
1:00 p.m. - 3:00 p.m.
LOCATION:
Virtual (Contact Dr. Mehdi Raessi: mraessi@umassd.edu for Zoom link)
TOPIC:
A Machine Learning Approach to Volume Tracking in Multiphase Flow Simulations
ABSTRACT:
Multiphase flow is referred to flow of two or more immiscible phases (liquid, gas and solid). It is encountered in many essential natural phenomena and industrial processes. Computational simulations have emerged as a powerful and reliable tool for multiphase flow research to further current understanding and uncover new insights. They complement and are often strong alternatives to experimental methods, especially in studies where experiments are unfeasible or prohibitively expensive, due to, for example, short length or time scales or complex geometries. An essential component of multiphase flow simulations is capturing the dynamics of the interface separating the immiscible phases and tracking the phase volumes. Various methods have been proposed to achieve this, including the front tracking, level-set, and volume-of-fluid (VOF) methods. The VOF method has become one of the most commonly used approaches to volume tracking and is the focus of this thesis. In VOF, the most common solutions are performed in two steps: interface reconstruction followed by flux calculation for volume advection. They represent a significant computational cost in VOF-based multiphase flow simulations. In this work, a new approach using machine learning (ML) is used to generate a general advection function in a two-dimensional VOF scheme, which bypasses interface reconstruction and flux calculation. Although ML functions require a larger upfront cost to train, the resulting functions may be less computationally expensive to use when compared to traditional VOF methods. The data set in this work was generated from translation and rotation of a circle under various spatial and temporal resolutions. The ML training was performed using MATLAB's Deep Learning Toolbox. To find an optimal neural network configuration, a grid search method based on the validation performance was used. Additionally, a rating system was developed to assess the overall performance of each function, as a potential alternative to solely relying on validation performance. This thesis presents results from commonly used advection tests to evaluate performance of volume tracking methods. The ML functions developed in this work show good performance on a variety of conditions. Their computation time is a fraction of that of the conventional VOF method; however, in terms of accuracy, the VOF method is superior to the ML functions.
ADVISOR:
Dr. Mehdi Raessi, Associate Professor of Mechanical Engineering, UMass Dartmouth
COMMITTEE MEMBERS:
-Dr. Geoffrey Cowles, Associate Professor, UMass Dartmouth
-Dr. Ming (Daniel) Shao, Assistant Professor, UMass Dartmouth
Open to the public. All MNE students are encouraged to attend.
For more information, please contact Dr. Mehdi Raessi (mraessi@umassd.edu).
- Topical Areas: Faculty, General Public, Staff and Administrators, Students, Students, Graduate, Students, Undergraduate, University Community, College of Engineering, Mechanical Engineering, Lectures and Seminars, STEM
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1:30 PM
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3:30 PM
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Financial Planning and Retirement Info Session
- Location: Online
- Contact: Benefits
- Description: Human Resources will be hosting an information session on Thursday, May 19 from 1:30pm to 3:30pm on financial planning and retirement.
This session is for individuals who are retiring soon and also for those who do not have immediate retirement plans but want to know more about preparing for retirement and financial planning.
In this session, we will discuss:
-When you should start saving for retirement
-Are you saving enough to retire comfortably?
-Are you approaching retirement and unsure what steps you need to take?
-Do you have questions/concerns about your benefits and what is available to you after retirement?
-How a pension impacts social security
The first half of the session will be facilitated by Fidelity Retirement Planner, Michael Fraser who will focus on saving and planning for retirement. Michael will also review the Windfall Elimination Provision and how it will impact your social security when retiring with a Pension or ORP account.
The second half of the session will be facilitated by UMass Dartmouth's Benefits Manager, Sandra Escaleira who will focus on what benefits are available to retirees and what steps you will need to complete for a successful retirement.
*REGISTRATION IS REQUIRED
- Link: https://umassd.zoom.us/webinar/register/WN_bIUExivPSXWxTJcyvPLDiw
- Topical Areas: Faculty, SMAST, Staff and Administrators, Human Resources
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Friday, May 20, 2022
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3:00 PM
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4:00 PM
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Summer Financial Aid FAFSA Help 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 ZOOM Labs on Fridays from 3-4pm for help filing your FAFSA and learning more about financial aid.
Zoom link:
https://umassd.zoom.us/j/91570250746?pwd=d2NyRk9lVVg4V2krdVA2NkRBb1JYQT09
Contact Mark Yanni
myanni@umassd.edu
- Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate, Financial Aid
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