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Students in graduation regalia sitting at ceremony
UMass Law Class of 2024 graduates ready to pursue justice

Students urged to use their skills to champion the rule of law

Two students in graduation regalia smiling
Class of 2024 Undergraduate Students honored in unforgettable ceremony

Despite the weather, students and guests commemorated success and received a surprise gift from philanthropist Robert and Karen Hale

Senior Appointments in the Provost's Office

Provost Ramprasad Balasubramanian announces two leadership appointments in the Provost's Office

Madan Annavarjula Headshot
New Dean for the Charlton College of Business appointed

Madan Annavarjula, Dean of the College of Business and Professor of International Business at Bryant University begins September 1

students in caps and gowns sitting at graduation
Class of 2024 Commencement Ceremony details

Student success celebrated during four ceremonies

Scallops
SMAST faculty receive $4.9 million through sea scallop research program

Scallop research set-aside programs support research while promoting collaboration between scientists and fishermen

Aerial view of UMass Dartmouth's main quad.
UMass Dartmouth is trending up

Highlights of an extraordinary academic year

May
28
10:00AM
Summer Financial Aid FAFSA Help Labs LARTS 203

Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for FAFSA Help Labs in LARTS 203 on Tuesdays from 10am-11am for help filing your FAFSA and learning more about financial aid. Contact Mark Yanni myanni@umassd.edu

May
28
10:00AM
Excel Formulas and Functions

This intermediate to advanced workshop explores the use of formulas and functions in Excel. Topics covered include text functions, named cell ranges, conditional formatting, conditional statements, absolute cell references, as well as the VLookup function. The Introduction to Excel workshop or equivalent previous experience is required. This workshop will take place in the Library, room 128. Contact Rich Legault for more information at 508-999-8799, or email RLegault@umassd.edu.

May
29
2:00PM
Zoom Tips

This workshop is intended for Zoom users who already know the basics and are ready to learn more. Topics covered include adding a profile picture, using virtual backgrounds, enabling recording, downloading recorded meetings, creating a custom personal meeting ID, polling, breakout rooms, and using Zoom's security features. Be sure to bring any questions you may have about Zoom! This workshop will take place via Zoom teleconference. The Zoom meeting link will be sent to registered participants via email the morning of the workshop. For more information about Zoom, visit http://instructionaldev.umassd.edu/zoom . For more information about this workshop, contact Rich Legault at 508-999-8799 or email rlegault@umassd.edu.

May
30
9:00AM
The EDGE Assembly Educate, Develop, Guide, Empower

The New Bedford Shannon Program in partnership with the UMass Dartmouth Office of Diversity, Equity & Inclusion presents: The EDGE Assembly Educate, Develop, Guide, Empower Open to all local Middle & High School Students Good decision-making equals great destiny, Keynote speaker: "Motivated by Math, "Mathematics went from the darkness to the light. From Death to a life of discipline. From a life of crime to being a wise man. His passion is presenting a message that inspires those doubtful, lost and struggling and his words help them shine and change their state of mind." Transportation and Lunch will be Provided Speakers & Campus Tour Parents are Welcome

May
30
10:00AM
ELE Master of Science Thesis Defense by Erika Caushi - ECE Department

Topic: EVALUATION OF THE SCALABILITY OF 1-D FR-CNN FOR SIGNAL IDENTIFICATION AND CLASSIFICATION OVER A WIDEBAND Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A Zoom Conference Link: https://umassd.zoom.us/j/91700091674 Meeting ID: 917 0009 1674 Passcode: 888863 Abstract: In the realm of Next Generation (NextG) wireless communication systems, spectrum sharing emerges as a solution to spectrum scarcity, catering to high data rates and improved quality of service. A critical aspect of enabling such spectrum sharing lies in sensing the electromagnetic spectrum (EMS) and characterizing surrounding wireless signals. Machine learning (ML) emerges as a key tool for this purpose. Leveraging established techniques like convolution neural networks (CNN), region-based convolution neural networks (R-CNN), fast region-based convolution neural networks (Fast R-CNN), and faster region-based convolution neural networks (FR-CNN), multiple signals can be identified and extracted simultaneously from a channel. This paper delves into optimizing the FR-CNN tailored for 1-dimensional (1-D) signal processing for EMS sensing over a wideband, testing and evaluating the scalability of the model as the bandwidth varies. Models are meticulously developed and compiled to operate across various platforms including CPU and GPU. Additionally, universal software radio peripheral (USRP), GNURadio, and RFNoC are used for wideband receiver design to perform the over-the-air tests. Through rigorous evaluation in simulation and over-the-air, it becomes evident that the optimized 1-D FR-CNN is highly scalable in terms of locating and characterizing the active signals within band of interest. Furthermore, while R-CNN demonstrates reduced classification time, a notable compromise is observed in classification accuracy. This optimization journey underscores the intricate balance between speed and precision, crucial for effective spectrum utilization and management in the dynamic landscape of wireless communication systems. Advisor(s): Dr. Ruolin Zhou, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members:Dr. Dayalan P. Kasilingam, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Hong Liu, Commonwealth 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. Ruolin Zhou email at rzhou1@umassd.edu

May
31
10:00AM
Summer Financial Aid FAFSA Help Zoom Labs

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 2-3pm for help filing your FAFSA and learning more about financial aid. https://umassd.zoom.us/j/96235213250?pwd=ZE1FSWtNek05dnNEQWVqdnZyNHVDUT09 Contact Mark Yanni myanni@umassd.edu

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