Events

SoCoECo Holiday Event, Featuring Dolores Hirschmann

Join us on December 12th for an extraordinary evening with Dolores Hirschmann. Dolores is an experienced entrepreneur, coach, speaker and organizer of TedX talks. Dolores will be sharing a talk entitled: 18 MINUTES OF IMPACT: Moving from delivering information to engaging your audience. This topic is designed for decision-makers, C-level executives, sales teams, and entrepreneurs. Participants will learn a step-by-step framework that will help them create presentations that engage and move their audiences to action. They will understand that every time they are in front of an audience they are responsible for an EMOTIONAL experience, and they will learn how to craft the message AND the experience into a seamless talk that uses both relevant storytelling, data, and case studies. KEY TAKEAWAYS: 1) Participants will craft a talk they can present to the world 2) Participants will learn how to put presentations together easily and the best practices in effective presentations including the use of stories and how to integrate data and statistics while keeping the engagement 3) Participants will discover that the first 60 seconds of a presentation are the most important to ensure the audience is engaged and invested in what they have to say About Dolores Dolores is an internationally recognized STRATEGIST & COACH. She helps clients clarify their "idea worth sharing," design their communication strategies, and implement business growth systems. Her clients become speakers and authors and take their message to larger audiences like TEDx and beyond. She works through group coaching, workshops, one on one coaching, as well as public speaking. Dolores is a writer, TEDx Organizer, and participant in TED conferences. She is a CTI certified and ICF accredited coach and has a business degree from the Universidad de San Andres, Argentina. Originally from Buenos Aires, Dolores speaks fluent Spanish, English, and French and lives in Dartmouth, MA with her husband and four children.

Recital: Guitar Ensemble & Latin Jazz Ensemble

Guitar Ensemble and Latin Jazz Ensemble

Final exams end

Examinations end today.

ECE Doctor Of Philosophy Dissertation Defense By: Paul C. Proffitt

Topic: High Clutter, Close Range Wi-Fi Imaging And Probabilistic, Learning Classifier Location: College of Engineering Conference Room, Textiles Building (TXT), Room 101E Abstract: In the past few years, researchers have worked on using Wi-Fi for identifying actions, but this overlooked using Wi-Fi on static (non-moving) or relatively non-moving objects due to its inherent problems. These problems involve many challenges such as very close range, high clutter, running real time, rough blob-like images, and many other issues encountered. Another area where both have had little research is in classifying the images created with Wi-Fi. Machine learning is a growing topic due to fast GPUs, but no research has been conducted in applying Artificial Intelligence (AI) to classifying non-moving or relatively non-moving objects imaged with Wi-Fi signals. This research used Wi-Fi signal processing and neural networks to identify static objects. The images created needed to be classified (identified). Classifying the resultant images were a challenge and required some form of AI. AI can identify objects by seeing persistent characteristics in rough images. Here is where Wi-Fi imaging and AI worked hand in hand. There were two major portions to this research. The first was the signal processing portion, where images were created, and the second was the image classification portion, which used AI neural networks to identify the rough images. This work brought the researcher's theoretical ideas to life in real-world experiments, which provided the proof of concept. In the signal processing portion, images were created by using Wi-Fi signals transmitted and received on Ettus Universal Software Radio Peripheral (USRP) hardware and directional antennas. Different directional antennas were designed and manufactured to form 1x2, 2x2, and 3x2 antenna arrays for beamforming and scanning objects. Upon creating Wi-Fi images, region-based convolutional neural networks (RCNNs) were employed and trained to result in identifying these objects. The results showed that such a Wi-Fi imaging and classification system is possible for static objects. This research solved problems of identifying static objects not well seen by visible light cameras, night vision, thermal vision, or millimeter wavelength processing where cost or environment factors interfered. Problem areas that were shown to benefit from this research were fire and rescue robotics, automation of security in bus and subway systems, and many other applications. NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public. Advisor: Dr. Honggang Wang Committee Members: Dr. Dayalan P. Kasilingam and Dr. Liudong Xing, Department of Electrical & Computer Engineering, UMass Dartmouth; Dr. Shaoen Wu, Department of Computer Science, Ball State University *For further information, please contact Dr. Honggang Wang at 508.999.8469, or via email at hwang1@umassd.edu.

Final grades due

Final grades due

First day of Intersession classes

Intersession classes begin today.

New Year's Day: No classes

New Year's Day, no classes today.

Local Ecologies

NOVEMBER 7 - JANUARY 10 Local Ecologies Reception: Thursday, November 14, AHA! Night, 8:30 pm Roundtable Discussion 6:30 pm Artists: Dan Borelli, Maria Magdalena Campos-Pons, Duy Hoang, Sarah Kanouse + Nicholas Brown, Plotform: Jane Marsching + Andi Sutton, Matthew Mazzotta, Evelyn Rydz, and Andrew Yang. Local Ecologies is a research-driven arts and culture initiative that includes commissioned artworks, a traveling exhibition, and a series of public programs focusing on place-based explorations of Eastern Massachusetts. The program, initiated by Dr. Rebecca Uchill with Dr. Kirsten Swenson and Samuel Toabe in late 2018, is presented jointly by UMass Boston, UMass Dartmouth, and UMass Lowell, along with other regional satellite venues during the 2019-2020 touring exhibition period. The exhibition includes multidisciplinary works by artists who have visited New Bedford and the Boston region to consider our natural, social, and industrial ecologies and their histories.

Last day/final exams of Winter Session classes

Last day/final exams of Winter Session classes

First Day of Classes

Spring classes begin today.

Catholic Mass

Catholic Mass is celebrated in the Reflection Room on the 2nd floor of the Campus Center.

Last day to Add, Drop, or Audit

Today is the last day to add/drop a class. Today is the last day to audit a class.