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Friday, April 12, 2024
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Online Teaching and Learning Strategies
- Location: Online
- Contact: CITS Instructional Development
- Description: A rigorous four-week, fully online certification course that introduces faculty to the current research and best practices for online teaching and learning. Using their own discipline-specific course materials for activities, faculty will work independently, and collaboratively with peers from across campus, and with Instructional Designers to design and build one unit of online instruction in a myCourses site. This unit will meet the Quality Online Course Review Rubric criteria and be a model that faculty can reference and replicate as they continue to develop their upcoming fully online course(s).
- Topical Areas: Training, Workshop, audience: Faculty
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7:00 PM
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8:00 PM
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Heathers: The Musical
- Location: Main Auditorium (Angus Bailey Auditorium)
, 285 Old Westport Road, Dartmouth, MA
- Contact: Theatre Company
- Description: The UMass Dartmouth Theatre Company proudly presents Heathers, by Kevin Murphy and Laurence O'Keefe. Based off of the film by Daniel Waters, Heathers The Musical is a hilarious, heartfelt, and homicidal new show based on the greatest teen comedy of all time. With its moving love story, laugh-out-loud comedy, and unflinching look at the joys and anguish of high school, Heathers is the most rad new musical. Are you in, or are you out?
Viewer Discretion is Advised: Adult themes discussed and portrayed throughout the show.
DATES & TIMES
April 12th and 13th at 7 pm
April 14th at 2 pm
WHERE
285 Old Westport Rd., Dartmouth, MA 02747
Angus A. Bailey Auditorium
We recommend parking in Lot 5 or 6!
TICKETS
Tickets will be sold at the door 30 minutes prior to the start of each show. CASH ONLY! There is an ATM outside the Campus Center, as well as inside across from Wendy's.
Students $5
Faculty/Staff, Alumni, and Veterans $10
General Admission $15
Email us at umdtheatreco@gmail.com or direct message us on Facebook Messenger or Instagram with any questions. We hope to see you there!
CAST
Veronica Sawyer: Sara Cravo
Jason "JD" Dean: Philip Pontes
Heather Chandler: Joseph Marques
Heather Mcnamara: Emerson DiSalle
Heather Duke: Ally Norbut
Martha Dunnstock: Liberty Latham
Ram Sweeney: Mitchell Carvalho
Kurt Kelly: Becca Silva
Ms. Fleming: Roxie Hawley
Veronica's Mom/Republicanette: Sydney Goulet
Veronica's Dad: Roxie Hawley
Ram's Dad: Leah Dunn
Kurt's Dad/Officer Milner: Kaz Furtado
Big Bud Dean/Officer Mccord: Abel Ledoux
Principal Gowan/Preppy Stud: Amelia Bauer
Coach Ripper: Syaer Webb
Student: Alyssa Slocum
Beleaguered Geek/Hipster Dork: William Bogue Jimenez
Stoner Chick: Kaylee Tillson
New Wave Party Girl: Abbie Ferree
PRO-TEAM
Director: Anjaliyah Echemendia
Assistant Director: Jesseley Gomes
Music Director: Courtney Orsini
Stage Managers: Lauren Bigelow & Christine Weir
Set Designer: Hunter Shields
Lighting Designer/Assistant Set Designer: Emma Walsh
- Topical Areas: Alumni, Commuters, Faculty, General Public, Staff and Administrators, Students, Theater, Theater Company, University Marketing
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2:00 PM
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3:00 PM
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Mechanical Engineering Seminar
- Location: > See description for location
- Contact: Mechanical Engineering Department
- Description: Mechanical Engineering (MNE) SEMINAR
DATE:
April 12, 2024
TIME:
2:00 p.m. - 3:00 p.m.
LOCATION:
Science and Engineering (SENG) 110
SPEAKER #1: Menaka Konara, MS in Mechanical Engineering (Advisor: Dr. Kihan Park)
TOPIC:
Optically Controlled Microrobots for Biomedical Applications
ABSTRACT:
Microrobotics has evolved as an interesting research area with the development of new microfabrication techniques and the applicability of these micro units to real-world applications. At the macro scale, a robotic system can be identified as a machine that can be programmable to carry out pre-defined tasks. However, the characteristics of their counterparts at the micro/nanoscale are slightly different. Therefore, different approaches are taken when it comes to the design and fabrication of these units. The importance of micro/nano scale robots has been identified with the development of microfluidic devices for biomedical applications. They have shown promising functionalities that can be advantageous when it comes to specific applications such as cancer treatment and diagnosis in a non-invasive manner. Among the other types of micro-robotics, the light-actuated microrobots are widely studied for its promise of biocompatibility, real-time control, live feedback, etc. With regards to optically controlled microrobots, they utilize tightly focused laser beams for micro/nano-scale motion. These laser beams create optical traps that allow manipulation of micromachines in complex microfluidic environments. Real time control of these micromachines can be an important tool for biomedical applications. Further, muti-functional microrobots and swarm of microrobots have a great potential to deliver results not only for in vitro but also for future in vivo applications. In this presentation, optically controlled microrobots and their applicability for biomedical applications will be presented.
SPEAKER #2: Joshua James Banez, MS in Mechanical Engineering (Advisor: Dr. Mehdi Raessi)
TOPIC:
Advancing the AST Probe Calibration Process through Computational and Experimental Analyses and Novel Fixture Design
ABSTRACT:
Ametek Brookfield's Advanced Sensing Technology (AST) probe calibration process currently takes over 109 hours to fully complete, which is very long and costly. By shortening the calibration process, lead-times on AST instruments could be decreased, more probes could be calibrated, and the cost to manufacture would be reduced. AST probes are high-tech and precise measurement tools used in a variety of applications to report temperature and viscosity of the desired fluid. The calibration process for such an instrument requires time in an environmental chamber for three different cycles: the burn-in cycle, the air cycle, and the oil cycle. The burn-in cycle is a 27-hour process that cycles the temperature to set a base for the AST probes. The probes are then put through a 16-hour calibration where the probes are suspended in air and then a 66-hour calibration where the probes are submersed in a calibrated oil standard. The solution chosen to speed up calibration required re-design of the current tray fixture for holding the oil in the calibration cycle. The current fixture takes up a lot of mass in the system during both the air and oil cycles of the calibration process. This mass leads to a greater heat capacity in the system which, in turn, adds to the time it takes for the system to come to steady state at each calibration point. The project involved both designing a new fixture and analyzing the time that could be saved in the calibration cycle. Experimental testing with prototypes was then used alongside the simulation to provide more accurate results. Using a combined knowledge of heat transfer, thermal systems, design, and manufacturing engineering this project was able to create a novel fixture that reduced the heat capacity in the system by 31.65% during the oil calibration. This led to an estimated time savings of 33 hours, or 50%, for the just oil cycle from the simulation analysis. The prototypes were machined and experimentally tested to show an actual time savings for the oil cycle of 29.8 hours resulting in an oil cycle that takes only 54.85% of the current time. The new design delivers similar levels of accuracy in the calibration process, while significantly shortening the process.
For more information please contact Dr. Hangjian Ling, MNE Seminar Coordinator (hling1@umassd.edu).
All are welcome.
Students taking MNE-500 are REQUIRED to attend!
All other MNE BS and MS students are encouraged to attend. EAS students are also encouraged to attend.
- Topical Areas: Faculty, General Public, Staff and Administrators, Students, Students, Graduate, Students, Undergraduate, University Community, College of Engineering, Mechanical Engineering, Lectures and Seminars
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5:00 PM
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8:30 PM
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CV Night
- Location: > See description for location
- Contact: > See Description for contact information
- Description: The Cape Verdean Student Association hosts a night of celebrating Cape Verdean culture including food, music, and much more.
The Marketplace | UMass Dartmouth
5pm
Contact Savannah Cardoso, scardoso3@umassd.edu, 508-910-6551
Sponsored by the Cape Verdean Student Association, FDUH, & BH4S
- Topical Areas: University Community, Black History 4 Seasons, Fredrick Douglass Unity House
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10:00 AM
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12:00 PM
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ELE Master of Science Thesis Defense by Michael O'Keefe-ECE
- Location: > See description for location
- Cost: Free
- Contact: > See Description for contact information
- Description: Topic: Heterogeneous Integration of III-V MUTC Photodetector on Thin Film Lithium Niobate for use in Coherent PM Optical Link
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Zoom Conference Link: https://umassd.zoom.us/j/91952634499
Meeting ID: 919 5263 4499 Passcode: 044704
Abstract:
Optical devices are important for ever increasing bandwidth requirements for modern communication and sensing systems. The emergence of phase modulated (PM) photonic links utilizing optical phase locked loops (OPLL) is allowing for higher gain and bandwidth modulation techniques to further increase data transfer rates and allow for data offloading in communications systems. Being an object of recent research, in order to enhance linear operation and achieve higher bandwidth of current PM links, thin film lithium niobate (TFLN) modulators and high-speed semiconductor photodetectors are desired. This thesis works to provide a more detailed model via simulations to predict the feasibility of utilizing a III-V semiconductor modified uni-traveling carrier (MUTC) photodetector integrated directly onto a TFLN modulator/waveguide for use in a coherent optical PM link. The first part of this thesis' work deals with investigating, modeling, and simulating Silicon Dioxide (SiO2), Silicon Nitride (SiN), and Aluminum Oxide (Al2O3) as buffer layer materials between the base of the photodetector and the TFLN waveguide to determine their effects on transmission and beam shape of the optical signal. Continuing from that work the resulting beam shape is imported into a model of the photodetector to simulate the coupling and power absorption. Lastly, important characteristics such as bandwidth, phase group delay, and responsivity of the photodetector design are simulated and used to replace the previous equation-based model in the PM link to determine the open loop gain, bandwidth, and stability limitations of the PM link.
Advisor(s):
Dr. Yifei Li, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members:
Dr. Mohammad Karim, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth;
Dr. Tariq Manzur, Adjunct Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth and Scientist & Engineer, Naval Undersea Warfare Center (NUWC)
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 via email at yifei.li@umassd.edu
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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1:00 PM
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3:00 PM
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CPE Master of Science Thesis Defense by Devaj Rishi Ramsamooj-ECE
- Location: > See description for location
- Cost: Free
- Contact: > See Description for contact information
- Description: Topic: VRAD Gen: Dataset Generator for Machine Learning Detection of Vehicle-Roadside Attacks
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Zoom Conference Link: https://umassd.zoom.us/j/93281343753
Meeting ID: 932 8134 3753 Passcode: 518247
Abstract:
Autonomous vehicles are gaining popularity rapidly for transportation safety and efficiency. However, to achieve fully automated driving without human intervention, cars need to be aware of traffic and environmental dynamics. One key component of their awareness is through communication. Connected and Automated Vehicles (CAV) leverage both automation and communication technologies to obtain information with nearby devices for decision making. Vehicular Ad-Hoc NETworks (VANETs) provide an architecture to support CAV with cars’ On-Board Units (OBUs) to communicate with each other and other devices like Roadside Units (RSUs). This communication can involve sharing information about traffic conditions, road hazards, and other data. Security of RSUs is crucial to ensure reliability and trustworthiness of its communication. Some security concerns with RSUs are authentication of RSUs, data integrity, etc. Addressing these concerns will require multiple types of mechanisms such as encryption and intrusion detection systems (IDS) to prevent misbehaving RSUs. With any type of communication, security of information is always at the forefront. Conventional security techniques have been tested, such as password protection and biometric security, but they do not meet the needs of the high dynamics of VANET. Machine learning and Deep learning have been proposed as viable options. Machine and Deep learning can learn without human intervention, which is highly desirable to CAV. Since CAV is still in its infancy, there is little data to train and test Machine and Deep learning algorithms. Some attempts to synthesize attack datasets but only on vehicle-to-vehicle (V2V) communication. To the best of our knowledge, there is no data generator for vehicle-to-infrastructure (V2I). This research fills the gap by providing a dataset generator to inject misbehaving RSUs. Using simulation, data is generated to be able train and test several algorithms. Our work reveals traditional machine learning algorithms are not sufficient to solve VANET security problems. The deep learning algorithm shows promise, but more analysis will be needed to be suitable for VANET security.
Co-Advisor(s):
Dr. Hong Liu, Commonwealth Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth;
Dr. Prinkle Sharma, Assistant Professor, Department of Information Security and Digital Forensics, University at Albany-SUNY, Albany, NY
Committee Members:
Dr. Liudong Xing, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth;
Dr. Honggang Wang, 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. Hong Liu via email at hliu@umassd.edu
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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3:00 PM
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4:00 PM
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Financial Aid FAFSA Help Labs LARTS 203
- Location: Liberal Arts Building 203
- 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 203 on Wednesdays and Fridays from 3-4pm 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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8:00 AM
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11:00 PM
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All Day |
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Course Withdrawal Deadline
- Location: Online
- Contact: Online & Continuing Education
- Description: Spring 2024 Course Withdrawal period (grade of a W) ends for the 14-week full session.
- Link: https://www.umassd.edu/online/
- Topical Areas: OCE Academic Calendar, OCE Spring, OCE Full session
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All Day |
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Course Withdrawal Deadline
- Location: Online
- Contact: Online & Continuing Education
- Description: Spring 2024 Course Withdrawal period (grade of a W) ends for the Accelerated Nursing Session 1.
- Link: https://www.umassd.edu/online/
- Topical Areas: OCE Academic Calendar, OCE Accelerated Nursing Session 1, OCE Spring
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