UMass Dartmouth Calendar

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Monday, April 22, 2024
12:00 PM	Earth Day Celebration Location: Campus Quad Cost: Free Contact: Campus Sustainability and Residential Initiatives Description: Join us in celebrating Earth! We will have various activities with prizes, live music, and tables from campus departments and partners! Topical Areas: Commuters, Faculty, Law Alumni, SMAST, Staff and Administrators, Students, Students, Graduate, Students, Law, Students, Undergraduate, Transfers, University Community, University Marketing, Veterans
4:00 PM - 5:00 PM	Lecture: Digital Forensics in Homicide & Missing Persons Investigations - Current technology trends and challenges Location: > See description for location Cost: Free Contact: > See Description for contact information Description: DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING (ECE) UMASSD CYBER SECURITY EDUCATION CLUB (CSEC) jointly with* COE National Cybersecurity Center & ECE Seminar Annual Guest Lecture for ECE548/488 Cyber Threats and Security Management Topic: Digital Forensics in Homicide & Missing Persons Investigations -Current technology trends and challenges Speaker: Brock Morrissette, Sergeant, Massachusetts State Police, Bristol County District Attorney's Office, State Police Detective Unit Location: Science & Engineering Building (SENG), Room 222 Abstract: Sgt. Morrissette will briefly cover the current digital forensic responses in critical incident cases along with the current trends and best practices for successful investigations and prosecutions. Sgt. Morrissette will detail how critical and intermingled digital forensics has become a part of almost every homicide investigation. He will discuss current limitations and problems facing investigators and future challenges facing the forensics / cyber industry. Biography: Sergeant Brock Morrissette is a member of the Bristol County District Attorney's Office State Police Detective Unit where he has served since October 2015 as a Homicide investigator. Specializing in digital forensics, Sgt. Morrissette is a certified mobile device forensic examiner and a subject matter expert in geolocation and cellular records analysis. He has testified as a recognized expert in multiple successful Homicide prosecutions. He is a member of the State Police Critical Incident Technology Investigations (CITI) team. Sgt. Morrissette is a graduate of the State Police Academy in 2014 from the 81st RTT. He graduated from UMass Dartmouth with BS/MS degrees in Computer Engineering and previously worked in electronics manufacturing for Lockheed Martin for eight years. The Seminars is open to the public free of charge. *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
Tuesday, April 23, 2024
1:00 PM - 2:00 PM	Virtual Study Abroad Advising Location: > See description for location Contact: International Programs Office Description: Interested in studying abroad? Do you have a quick question about the opportunities that are available or the overall process? Stop by the International Programs Office's virtual advising session! Students will be seen on a first come, first served basis. Email intl_programs@umassd.edu for the zoom link. Topical Areas: Faculty, Staff and Administrators, Students, University Community, Study Abroad
Wednesday, April 24, 2024
3:00 PM - 4:00 PM	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, Transfers, Financial Aid
All Day	Denim Day Location: Center for Women, Gender & Sexuality Contact: Center for Women, Gender & Sexuality Description: Celebrate Denim Day, a sexual violence prevention and education campaign. Support survivors by wearing jeans on April 24th, take a picture, and tag @UMASSD_CWGS on Instagram. There is no excuse and never an invitation to rape. Link: denimdayinfo.org Topical Areas: Alumni, Commuters, Faculty, General Public, Law Alumni, SMAST, Staff and Administrators, Students, Students, Graduate, Students, Law, Students, Undergraduate, Transfers, University Community, University Marketing, Veterans, Office of Diversity, Equity & Inclusion, Center for Women, Gender, and Sexuality
3:00 PM - 5:00 PM	Mechanical Engineering MS Project Presentation by Mr Joshua James Banez Location: > See description for location Contact: Mechanical Engineering Department Description: Mechanical Engineering MS Project Presentation by Mr. Joshua James Banez DATE: April 24, 2024 TIME: 3:00 p.m. - 5:00 p.m. LOCATION: Science & Engineering (SENG), Room 110 (Materials Science Lab) Zoom link: https://us04web.zoom.us/j/6854837191?pwd=YmZJY3liZjRiM1NXT1VJNnlpMi9uUT09 (Contact scunha@umassd.edu or mraessi@umassd.edu for the Meeting ID# and Passcode) 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. ADVISOR: - Dr. Mehdi Raessi, Professor, Department of Mechanical Engineering, UMass Dartmouth COMMITTEE MEMBERS: - Dr. Wenzhen Huang, Professor, Department of Mechanical Engineering, UMass Dartmouth - Dr. Sankha Bhowmick, Professor / Chairperson, Department of Mechanical Engineering, 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
4:00 PM - 6:00 PM	Grub-n-Gather Student Break for Veterans, Prior Military, and Reservists Location: Campus Center Contact: New Student & Family Programs Description: All Veteran, Prior Military, and Reservist Corsairs, please join us for a final study break in the Veteran Lounge. Hot and cold hors d'oeuvres and great company will set you up for success on finals. Hope to see you there! Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate, Transfers, Veterans
3:00 PM - 4:00 PM	DFO/DEOS Seminar - The Life of a New England Fisherman by: Captain David Goethel Location: > See description for location Contact: > See Description for contact information Description: SMAST EAST 101-103 and via Zoom Abstract: The 2023 book titled "Endangered Species: Chronicles of the Life of a New England Fisherman and the F/V Ellen Diane" describes 55 years fishing on the Northwest Atlantic, including sea stories, science, and management. The seminar will summarize this memoir of commercial fisherman, who is a biologist and graduate of Boston University, and perspectives on sustainable fishing practices. Biography: David Goethel retired from commercial fishing in 2022 and splits his time with his wife, Ellen, and parrots, Huey and Stuart, between Hampton, New Hampshire, and Stuart, Florida. In Stuart, he surf casts for pompano and other species. In Hampton, he fishes recreationally for the wide range of species in the Gulf of Maine. The author remains active in both science and fishery management at both the state and federal level, serving on one council advisory panel and one ASMFC advisory panel. He also serves on two volunteer fishing organizations' boards of directors, helping to promote sustainable fishing practices. David continues to promote cooperative research, scientists and fishermen working on research projects together to aid in solving the many problems that still plague fishery management. Link: https://umassd.zoom.us/j/93758230260?pwd=OHJ5UDloQkZZaCtXcTlBNlR6Qm0rQT09 Topical Areas: SMAST, Students, Graduate
2:00 PM - 5:00 PM	Walk-in Study Abroad Advising Location: International Programs Office LARTS 016 Contact: International Programs Office Description: Interested in studying abroad? Do you have a quick question about the opportunities that are available or the overall process? Stop by the International Programs Office (IPO)! Students will be seen on a first come, first served basis. Topical Areas: Faculty, Staff and Administrators, Students, University Community, Study Abroad
All Day	Course Withdrawal Deadline Location: Online Contact: Online & Continuing Education Description: Spring 2024 Course Withdrawal period (grade of a W) ends for the Third 5-week session MLT-MLS Program classes. Link: https://www.umassd.edu/online/ Topical Areas: OCE Academic Calendar, OCE Spring, OCE Third 5-week session
Thursday, April 25, 2024
1:00 PM - 4/27 »	CPE Master of Science Thesis Defense by Christopher Dentremont - ECE Department Location: > See description for location Cost: Free Contact: > See Description for contact information Description: Topic: Dataset Generation for Deep Learning to Authenticate Wireless Sensor Network (WSN) at Physical Layer for Structural Health Monitoring (SHM) of Transportation Infrastructure 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: A wireless sensor network (WSN) for structural health monitoring (SHM) is a network with autonomous, spatially distributed sensor nodes that communicate wirelessly in a cooperative way to monitor physical or environmental conditions. WSN for SHM has garnered interest for protecting transportation infrastructure for the safe operation and maintenance of bridges due to their ability to collect real-time data. Two concerns that arise when designing and deploying these systems are energy consumption and information security. Limited battery capacity on sensor nodes, especially on bridges, can significantly shorten WSN's lifetime. WSNs are left vulnerable to attacks on data integrity, confidentiality and availability from malicious actors masquerading as sensor nodes. This thesis proposes a scheme to protect data transmissions in WSNs for SHM without sacrificing energy consumption. The scheme solves these problems by combining state-of-the-art technologies in deep learning, radio frequency (RF) fingerprinting and RF energy harvesting. RF Fingerprinting leverages process imperfections in transceivers that can be used in a deep neural network to authenticate known sensor nodes. Deep learning is also less computationally intensive than more common forms of data security like encryption and decryption. RF energy harvesting harnesses electromagnetic waves to convert to electrical energy that powers sensor nodes wirelessly. Deep learning requires a dataset to train the model and each device needs its own dataset generation just like collecting fingerprints to establish a directory. This unique feature due to WSN for SHM of transportation infrastructure calls for the need for a framework to systematically generate datasets from individual sensor nodes. This brings out a novel approach of common applications in deep learning. The work shown acts as a proof of concept for this framework of data generation by building a prototype to present its feasibility through experimentation with using RF energy harvesting. This work also provides a framework for generating a dataset of device RF fingerprint to be used in a deep learning network to authenticate each sensor node. Co-Advisor(s): Dr. Hong Liu, Commonwealth Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Liudong Xing, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Ruolin Zhou, 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. Hong Liu via email at hliu@umassd.edu Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
7:00 PM - 9:00 PM	Italian Studies Film Series - Once Upon a TIme in the West (1968) Location: > See description for location Contact: > See Description for contact information Description: Italian Studies invites you to enjoy a year of Spaghetti Westerns. Starting in the 1960s Italian directors began to apply their own artistic approach and their own political and social concerns to the old-fashioned western genre. The result? Some of the most artistically exciting movies of the 1960s and 1970s. All films will be screened in LARTS-111 at 7:00. For questions write msneider@umassd.edu. Topical Areas: Faculty, Students, University Community, University Marketing
2:30 PM - 4:30 PM	CPE Master of Science Thesis Defense by Bryce Afonso - ECE Department Location: > See description for location Cost: Free Contact: > See Description for contact information Description: Topic: Network-less Wireless Sensing for Structural Health Monitoring (SHM) of Bridges: Unmanned Aerial Vehicle (UAV) Investigations 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: The Internet of Things (IoT) has significantly advanced the application of Wireless Sensor Networks (WSNs) in Structural Health Monitoring (SHM), particularly for civil engineering infrastructure such as bridges. Despite the advancements, the widespread application of WSNs in SHM remains hindered by their limited network lifetime, posing a significant hurdle to their adoption. Furthermore, IoT and WSNs open a new attack surface. Designing SHM systems with wireless sensors utilizing no network allows system resiliency to cyber-attacks. Unmanned Aerial Vehicles (UAVs) have been heralded for their potential to overcome these limitations through secure and efficient data collection. This thesis expands on the existing UAV application by proposing a novel UAV-assisted WSN system that employs Bluetooth Low Energy (BLE) as the communication protocol for synchronized data gathering in SHM systems. Our design diverges from traditional multi-hop WSNs by leveraging UAVs as mobile data sinks, reducing the energy burden on individual sensor nodes, and significantly prolonging the sensor's operational life. Through an analytical study, we demonstrate that our UAV-BLE system offers a remarkable improvement in network lifetime in comparison to conventional network routed WSNs. Additionally, the use of BLE facilitates a lightweight authentication scheme, providing secure wireless communication between sensor nodes and the UAV. Thus, this novel approach enhances the overall robustness and longevity of SHM systems. A proof-of-concept implementation utilizing a PASCO bridge kit equipped with wireless load cell sensors, demonstrates the feasibility of our approach. To the best of the authors' knowledge, this is the first exploration of a BLE-centric synchronization scheme in the context of SHM, marking a significant leap toward secure, safe, reliable, and efficient monitoring of civil engineering structures. Co-Advisor(s): Dr. Hong Liu, Commonwealth Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Liudong Xing, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Ruolin Zhou, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Tzuyang Yu, Professor, Department of Civil and Environmental Engineering, UMASS Lowell 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
12:00 AM - 1:00 AM	Physics Master of Science Research Project by Zak Longinidis Location: > See description for location Contact: Physics Department Description: Topic: A Model For the N-Baryon Spectrum Location: SENG -201 Abstract: For our research this semester, we have been using a model developed by Dr. J.P. Hsu in order to approximate energy eigenvalues for given sub-spectra of N-baryon states. In particular, I have been taking rough estimates given by the model, and adjusting values for the coupling constant and potential energy in order to better fit the experimental data we are comparing to. I will also be giving a brief overview of the relativistic quantum shell model for confining 3-quark system, and talking about a possible range of light quark masses that are acceptable for quarks to have in order for this model to produce reasonable numerical results for baryon spectra. Advisor(s): Dr. JP Hsu, Physics Department (jhsu@umassd.edu) NOTE: All PHY Graduate Students are ENCOURAGED to attend. Open to the public. All interested parties are invited to attend. Topical Areas: Faculty, Staff and Administrators, Students, Students, Graduate, Students, Undergraduate
4:30 PM - 6:30 PM	Student Leadership Awards Celebration Location: > See description for location Contact: > See Description for contact information Description: Join us as we celebrate our outstanding student leaders and their accomplishments! The Marketplace \| UMass Dartmouth 4:30pm Hors D'oeuvres 5:00 pm Presentation of Awards RSVP to claib@umassd.edu by Mon April 22, 2024 Contact: Chris Laib, claib@umassd.edu 508-999-8217 Sponsored by the Division of Student Affairs Topical Areas: Students, Black History 4 Seasons, Fredrick Douglass Unity House, Office of Diversity, Equity &amp; Inclusion, University Marketing
Friday, April 26, 2024
« 4/25 - 4/27 »	CPE Master of Science Thesis Defense by Christopher Dentremont - ECE Department Location: > See description for location Cost: Free Contact: > See Description for contact information Description: Topic: Dataset Generation for Deep Learning to Authenticate Wireless Sensor Network (WSN) at Physical Layer for Structural Health Monitoring (SHM) of Transportation Infrastructure 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: A wireless sensor network (WSN) for structural health monitoring (SHM) is a network with autonomous, spatially distributed sensor nodes that communicate wirelessly in a cooperative way to monitor physical or environmental conditions. WSN for SHM has garnered interest for protecting transportation infrastructure for the safe operation and maintenance of bridges due to their ability to collect real-time data. Two concerns that arise when designing and deploying these systems are energy consumption and information security. Limited battery capacity on sensor nodes, especially on bridges, can significantly shorten WSN's lifetime. WSNs are left vulnerable to attacks on data integrity, confidentiality and availability from malicious actors masquerading as sensor nodes. This thesis proposes a scheme to protect data transmissions in WSNs for SHM without sacrificing energy consumption. The scheme solves these problems by combining state-of-the-art technologies in deep learning, radio frequency (RF) fingerprinting and RF energy harvesting. RF Fingerprinting leverages process imperfections in transceivers that can be used in a deep neural network to authenticate known sensor nodes. Deep learning is also less computationally intensive than more common forms of data security like encryption and decryption. RF energy harvesting harnesses electromagnetic waves to convert to electrical energy that powers sensor nodes wirelessly. Deep learning requires a dataset to train the model and each device needs its own dataset generation just like collecting fingerprints to establish a directory. This unique feature due to WSN for SHM of transportation infrastructure calls for the need for a framework to systematically generate datasets from individual sensor nodes. This brings out a novel approach of common applications in deep learning. The work shown acts as a proof of concept for this framework of data generation by building a prototype to present its feasibility through experimentation with using RF energy harvesting. This work also provides a framework for generating a dataset of device RF fingerprint to be used in a deep learning network to authenticate each sensor node. Co-Advisor(s): Dr. Hong Liu, Commonwealth Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Liudong Xing, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Ruolin Zhou, 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. Hong Liu via email at hliu@umassd.edu Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
2:00 PM - 3:00 PM	Reproductive Rights and Advocacy in Action from the Perspective of a Doula Location: > See description for location Cost: 0 Contact: Women's and Gender Studies Description: Dashanna Hanlon will share her perspective as a Black Doula on Reproductive Rights and Advocacy in Action. Come find out about career pathways in birthing justice, what does a birth Doula do? She will discuss her role in fighting the black maternal mortality health epidemic in the United States. Light Refreshments will be served. Bring your friends! Sponsored by Women's and Gender Studies and Health & Society. Room CCB 340 Topical Areas: Faculty, General Public, Staff and Administrators, Students, Students, Undergraduate, University Community, Aging and Health Studies, Black Studies, College of Arts and Sciences, Economics, Pre-Med/Pre-Health Professions, Women and Gender Studies, College of Nursing and Health Sciences, College Now, Center for Women, Gender, and Sexuality, Fredrick Douglass Unity House, Conferences & Events, Lectures and Seminars
3:00 PM - 4:00 PM	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, Transfers, Financial Aid
Saturday, April 27, 2024
« 4/25 - 2:00 PM	CPE Master of Science Thesis Defense by Christopher Dentremont - ECE Department Location: > See description for location Cost: Free Contact: > See Description for contact information Description: Topic: Dataset Generation for Deep Learning to Authenticate Wireless Sensor Network (WSN) at Physical Layer for Structural Health Monitoring (SHM) of Transportation Infrastructure 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: A wireless sensor network (WSN) for structural health monitoring (SHM) is a network with autonomous, spatially distributed sensor nodes that communicate wirelessly in a cooperative way to monitor physical or environmental conditions. WSN for SHM has garnered interest for protecting transportation infrastructure for the safe operation and maintenance of bridges due to their ability to collect real-time data. Two concerns that arise when designing and deploying these systems are energy consumption and information security. Limited battery capacity on sensor nodes, especially on bridges, can significantly shorten WSN's lifetime. WSNs are left vulnerable to attacks on data integrity, confidentiality and availability from malicious actors masquerading as sensor nodes. This thesis proposes a scheme to protect data transmissions in WSNs for SHM without sacrificing energy consumption. The scheme solves these problems by combining state-of-the-art technologies in deep learning, radio frequency (RF) fingerprinting and RF energy harvesting. RF Fingerprinting leverages process imperfections in transceivers that can be used in a deep neural network to authenticate known sensor nodes. Deep learning is also less computationally intensive than more common forms of data security like encryption and decryption. RF energy harvesting harnesses electromagnetic waves to convert to electrical energy that powers sensor nodes wirelessly. Deep learning requires a dataset to train the model and each device needs its own dataset generation just like collecting fingerprints to establish a directory. This unique feature due to WSN for SHM of transportation infrastructure calls for the need for a framework to systematically generate datasets from individual sensor nodes. This brings out a novel approach of common applications in deep learning. The work shown acts as a proof of concept for this framework of data generation by building a prototype to present its feasibility through experimentation with using RF energy harvesting. This work also provides a framework for generating a dataset of device RF fingerprint to be used in a deep learning network to authenticate each sensor node. Co-Advisor(s): Dr. Hong Liu, Commonwealth Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Liudong Xing, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Ruolin Zhou, 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. Hong Liu via email at hliu@umassd.edu Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
8:00 PM - 10:00 PM	Observatory Open House Location: UMass Dartmouth Observatory Field Contact: Physics Department Description: Observatory Open House For updates on weather conditions please refer to www.assne.org Topical Areas: Alumni, Commuters, Faculty, General Public, Law Alumni, SMAST, Staff and Administrators, Students, Students, Graduate, Students, Law, Students, Undergraduate, Transfers, University Community, University Marketing, Veterans

University Events

Week of April 21, 2024

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