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The Charlton College of Business at UMass Dartmouth
Online programs earn national recognition in eight U.S. News & World Report rankings

Online graduate programs in business make significant strides

The Charlton College of Business at UMass Dartmouth
Online programs earn national recognition in eight U.S. News & World Report rankings

Online graduate programs in business make significant strides

Pin received by ABSN Grads
Grit, grace, and gratitude: cohort 8’s triumph in the ABSN Pinning Ceremony

Pinning ceremony celebrates graduates' achievement of earning their nursing degrees

Members of the UMass Dartmouth Model U.N. team photographed at the National Model United Nations (NMUN) conference
Model United Nations briefing with Sierra Leone embassy leads to honorable mention award

UMass Dartmouth’s Model U.N. visited a foreign embassy for the first time in club history, securing an honorable mention award at Washington D.C. conference

1L Class of 2027 pictured outside the Law School after the first day of orientation
Year in review: Top 10 stories of 2024

Ten stories that defined UMass Law in 2024

Campus aerial
Corsair Replay: The top 20 UMass Dartmouth stories of 2024

From puppies to baby sharks, cybersecurity to nursing, and many incredible victories for our sports teams, 2024 was a banner year.

UMass Dartmouth invests $3M in additional state funding to support Blue Economy Initiatives

Second round of funding to enhance industry engagement, workforce development, and technology transfer efforts

2024 New England Football Writers Agganis-Zimman Award  Dante Aviles-Santos
Quarterback Dante Aviles-Santos Named Agganis-Zimman Award Winner

Graduate student captain honored as New England's Most Outstanding Player by The New England Football Writers Association

Feature Stories

Feature Stories
Tam Carter '24, '26
Tam Carter '24, '26: Systems of Support
First-generation professional writing and communication student gains specialized experience through his graduate assistantship and teaching fellowship.
Portrait of CAS alumna, Alumni Association member
Justine Cameron ’14, MPP ’19 circles back to where it all began
Cameron had little doubt about joining the UMass Dartmouth Alumni Association, inspired by the scholarship that helped her find success & ignited her desire to give back.
Mechanical Engineering student James Bonnell in the lab with Prof. Hangjian Ling
James Bonnell '25: Career-ready
Through research, internships, and campus clubs, Bonnell is gaining valuable industry experience and building a strong foundation for a future in the defense sector.
Diego Marroquin and Ashley Street, biology alumni enrolled at UMass Chan
Pair of pre-med alums begin medical school at UMass Chan
Recent biology grads accepted to two dozen medical schools; thrive in first semester at UMass Chan
Photo of CCB alum, Alumni Association member
Thomas Castillo ’21, MBA ’24: Blue & gold ties that last a lifetime
Starting as a student, Castillo’s relationship with UMass Dartmouth grew to include his role as an admissions counselor & his contributions as a member of the Alumni Association.
Photo of CAS alum
James Pace ’09: Forever a Corsair
From student leader to thriving professional, Pace discusses how UMass Dartmouth influenced his journey to success & his decision to join the Alumni Association.
Bioengineering student Kissamy Georges at her research internship at Vanderbilt University
Kissamy Georges '27: Defying expectations
Bioengineering major and first-gen college student selected for NSF-REU in her first year at UMassD.
SMAST alumnus Caue Lazaneo in the field
Cauê Zirnberger Lazaneo PhD '21: The ocean-climate connection
From a young surfer in Brazil to an international oceanographer, SMAST alumnus lands professorship.
Portrait of Dean Madan Annavarjula
Meet Dean Madan Annavarjula
Charlton College of Business Dean sees a treasure trove of opportunities for UMassD students
Jan
23
10:00AM
Career Center Presents Resume-palooza!

Ready to spruce up your resume as we start the spring semester? Join our Career Center team at a workshop-style resume program. Bring your resume and be ready to make edits and changes as a career advisor walks through each section of a professional resume. There are two one-hour sessions, so you can sign up for the one that fits your schedule!

Jan
23
2:00PM
Career Center Presents Resume-palooza!

Ready to spruce up your resume as we start the spring semester? Join our Career Center team at a workshop-style resume program. Bring your resume and be ready to make edits and changes as a career advisor walks through each section of a professional resume. There are two one-hour sessions, so you can sign up for the one that fits your schedule!

Jan
24
10:00AM
ELEC Oral Comprehensive Exam for Doctoral Candidacy by Muhammad Baqer Mollah - ECE
Topic: Multi-Modality Sensing and Communications for Connected Vehicles Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A Zoom Conference Link: https://umassd.zoom.us/j/92374869463 Meeting ID: 923 7486 9463 Passcode: 174802 Abstract: Connected and autonomous vehicles (CAVs) are set to transform intelligent transportation systems by enhancing safety, traffic efficiency, and mobility. Key use cases require high throughput, low latency, reliable communication, and precise positioning. The millimeter-wave (mmWave) band offers a broad spectrum to meet these demands but suffers from high path attenuation, necessitating beamforming techniques that use large antenna arrays to create narrow beams for better signal strength. Traditional beam alignment methods based on exhaustive searching can result in significant computational and communication overhead, making them unsuitable for dynamic vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) scenarios. This proposal outlines background information, problem statements, and the challenges of deploying mmWave communications in CAV use cases. It includes two preliminary solutions that utilize deep learning techniques, leveraging single and multi-modality sensing data to predict optimal beams for strong mmWave links. Real-world testing indicates that these methods significantly reduce the beam searching time and overhead compared to conventional approaches, representing a promising advancement in mmWave communication. The proposal concludes with suggested future directions for research. Co-Advisor(s): Dr. Honggang Wang, Professor, Dept. of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Hua Fang, Professor, Dept. of Computer & Information Science, UMASS Dartmouth Committee Members: Dr. Mohammad Karim, Professor, Dept. of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Liudong Xing, Professor, Dept. of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Qing Yang, Associate Professor, Dept. of Computer Science and Engineering, University of North Texas 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. Honggang Wang via email at hwang1@umassd.edu.
Jan
24
12:00PM
Handshake Launch

Handshake is your lifeline to internships, jobs, employers, and events! Join us to activate and complete your account, giving you access to this powerful resource.

Jan
24
2:00PM
Research Psychology Masters Thesis Defense by Brianna M. Kauranen
Location: ROOM 397D, LARTS, College of Arts & Sciences If you prefer to attend via zoom: Join Zoom Meeting https://umassd.zoom.us/j/92666487596?pwd=NYjSDnGl4BVIibQQEz7ZGM7I5hOTyk.1 Meeting ID: 926 6648 7596 Passcode: 655154 Title: Examining the Associations between Children's Context-Incongruent Fear, Emotion Knowledge, Picture-book Narratives, and Internalizing Outcomes Abstract: Children with less knowledge of emotions, more fearful behaviors, and more negative narratives during storytelling have more internalizing behaviors. However, further research is essential to clarify the complex interplay among these affective factors of early development. This includes pinpointing the contexts in which children's fearfulness is enacted and exploring specific types of emotion knowledge deficits that might be at play. A sample of 74 preschoolers participated in this study on emotion and internalizing behaviors. The study introduced a novel measure of children's fear expressed during non-fearful contexts (context-incongruent fear), and an unexplored assessment of sad and fearful narratives to a picture book. To clarify the contribution of children's processing of emotional contexts, knowledge of negative emotional situations was also assessed. Parents and teachers reported on children's internalizing behavior. Hypotheses predicted context-incongruent fear would be associated with less knowledge of negative emotions, more fearful and sad narratives, and greater internalizing behaviors. Hypotheses also predicted that less knowledge of negative emotion and more fearful and sad narratives would be associated with internalizing behaviors. It was also expected that context-incongruent fear would moderate the association between emotion knowledge and internalizing behavior, such that context-incongruent fear would strengthen the association. Likewise, I expected that context-incongruent fear would moderate the association between sad and fearful narratives and internalizing behavior, but context-incongruent fear would strengthen the association. Finally, a model that incorporated all study factors proposed that the association between emotion knowledge and internalizing behavior would be mediated by fearful and sad narratives, but that this mediation would be more likely in children who showed higher levels of context-incongruent fear. As expected, children's context-incongruent fear and understanding of negative emotion contexts were predictive of internalizing behavior. Additionally, although children who made fearful and sad narratives to the picture-book had greater internalizing behaviors, this was more likely for children who had greater knowledge of negative emotional situations. These findings suggest understanding of negative situations may transpire into negative expressions in everyday situations that promote internalizing behaviors. Additionally, they highlight the interplay between children's understanding of emotional context and the narratives they project onto them with relevance to their emotional well-being. Advisor: Dr. Robin Arkerson Committee Members: Dr. Judith Sims-Knight, Dr. Mary Kayyal For additional information, please contact Verna Drayton at vdrayton@umassd.edu or 508-999-8380
Jan
24
2:45PM
ELEC Research Component of PhD Qualifier Exam by Noah Oikarinen - ECE
Topic: A Heterogeneous Multi-Agent Colluding Attack Defense System Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A Zoom Conference Link: https://umassd.zoom.us/j/99742168771 Meeting ID: 997 4216 8771 Passcode: 976327 Abstract: The voting-based replication mechanism is widely used as a fault-tolerant technique across various engineering and computing domains. However, this technique is vulnerable to colluding attacks where multiple malicious resources can collaborate to produce identical wrong results to potentially fail a task execution, posing significant threats to system integrity, performance, and reliability. This research introduces a heterogeneous multi-agent colluding attack defense system, a novel credibility-based framework designed to detect and mitigate the impact of coordinated adversarial behavior within diverse agent environments. The proposed framework employs a dual-role architecture, consisting primarily of spotter and resource agents. Spotters are responsible for monitoring and evaluating the credibility of resource agents based on their performance and voting patterns. Resource agents that fail the spotter's check are excluded from task execution. The system dynamically and optimally allocates these roles under users' predefined cost constraints, balancing resource utilization and defense efficiency. By strategically adjusting the credibility scores of resource agents, the proposed defense mechanism adapts to ensure sustained system performance and reliability. Experimental studies are conducted to demonstrate the effectiveness of the proposed heterogeneous multi-agent system in defending against colluding attacks in voting-based computing environments. The impacts of several key model parameters on the system reliability are also investigated. Co-Advisor(s): Dr. Liudong Xing, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Hong Liu, Commonwealth Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Jiawei Yuan, Associate 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. Liudong Xing via email at lxing@umassd.edu or Dr. Lance Fiondella via email at lfiondella@umassd.edu
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