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Tuesday, May 10, 2016
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5/14
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2016 MFA Thesis Exhibition
- Location: Star Store, New Bedford
, Purchase Street, New Bedford
- Cost: Free Admission
- Contact: University Art Gallery
- Description: April 2-May 14, 2016
2016 MFA Thesis Exhibition
Opening Reception: Saturday, April 2, 3-5 pm
Artists Talk: Thursday, AHA! Night, April 14 at 7 pm
The UMass Dartmouth 2016 MFA Thesis Exhibition is a much anticipated and celebrated annual event showcasing the artwork of graduating students from the College of Visual and Performing Arts. This large-scale exhibition at the Star Store Campus in historic Downtown New Bedford consists of a wide variety of media including painting, drawing, sculpture, digital and moving images, software application design, as well as intricately made jewelry that utilizes both text and unusual contemporary materials. The range of themes is equally diverse; explorations of personal and cultural identity, feelings of loss, intimacy, memories and dreams as well as examinations of formal and conceptual space.
The 2016 exhibition includes the creative efforts of 18 UMass Dartmouth MFA degree candidates in the visual arts: Alec H. Andersen, Amy Araujo, Calvin Arterberry, Kendra Conn, Kelly Lynn Daniels, Yinan Dong, Meaghan Gates, Marcia Goodwin, Kyungsun "Ariel" Lee, John A. Middleton, Mark Phelan, Sara Allen Prigodich, Cuong Abel Sy, Brett Sylvia, Andrew Tedesco, William M. Vanaria, Lillian E. Webster, and Will Wolf.
An opening reception will be held on Saturday, April April 2, from 3 to 5 pm and the exhibition is open to public through May 14, 2016. Artists Talk is scheduled on Thursday, AHA! Night, April 14 at 7 pm.
Selections from this exhibition will be shown this summer at the Bromfield Gallery in Boston from June 1 to June 26, with an opening reception on Friday, June 3, 6:00 - 8:30 pm.
Gallery exhibitions are open daily in New Bedford from 9:00 am to 6:00 pm and until 9:00 pm during AHA! Nights (every second Thursday each month-April 14 and May 12). All events are free and open to the public.
University Art Gallery
UMass Dartmouth
715 Purchase Street, New Bedford, MA 02740
umassd.edu/universityartgallery
www.facebook.com/UMassDartmouthGalleries
- Link: http://www.umassd.edu/cvpa
- Topical Areas: Faculty, General Public, Staff and Administrators, Students, Students, Graduate, Students, Undergraduate, University Community, College of Visual and Performing Arts, Exhibits, Fine Arts, Visual Arts
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5/31
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Call for Nominations: Provost's Award
- Location: Online
- Contact: CITS Instructional Development
- Description: The Provost's Teaching & Learning with Technology award was established in 2007 to recognize excellence in teaching and learning with technology.
The 2016 award recipient will receive $2000, an award plaque, and their name will be displayed on the Provost’s Award plaque in CITS Instructional Development.
See link for further information about award eligibility and directions for submitting nominations.
Deadline: 5:00pm EDT, Tuesday, May 31, 2016.
- Link: http://instructionaldev.umassd.edu/provosts-award/
- Topical Areas: audience: Faculty, audience: Staff, topic: Faculty Development
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4/27
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5/11
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Blended Learning: Finding the Mix
- Location: Online
- Contact: CITS Instructional Development
- Description: This blended workshop is an introduction to the best practices of blended teaching and learning. A mix of online collaboration and face-to-face activities will prepare participants to design their own plan for blended instruction.
Note: Face-to-face meetings are scheduled for Wednesday April 27th and May 4th from 3:00pm - 4:00pm in the Claire T. Library, room 240.
- Link: http://instructionaldev.umassd.wikispaces.net/Blended+Learning
- Topical Areas: Training, Workshop, audience: Faculty, topic: Faculty Development
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4/28
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5/12
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David and Goliath: Giants Underdogs and conflict-Guest Speaker Memory Holloway
- Location: Liberal Arts Building 110
- Contact: Center for Portuguese Studies and Culture
- Description: Guest speaker Memory Holloway will be speaking on David and Goliath. This Lecture will include visual examples of the story and film clips. Sponsored by the Religious & Spiritual Office April 28th at 2 pm in Liberal Arts Room 110
- Topical Areas: Students, Religious Studies, Center for Religious and Spiritual Life
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10:00 AM
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12:00 PM
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RESEARCH COMPONENT OF PHD QUALIFIER EXAM BY: Zhouzhou Li
- Location: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
- Cost: Free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: TOPIC: A SECURE AND EFFICIENT KEY GENERATION AND AGREEMENT METHOD FOR WIRELESS BODY AREA NETWORKS
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
With wide deployment of Wireless Body Area Networks (WBAN), security becomes one of the major challenges to WBAN research due to the broadcasting nature of WBAN, especially when sensitive patient information is exchanged among nodes of WBAN. Encryption is the basic method of securing wireless communication link. In general, the more key bits are used, the stronger the encryption key is. Key generation and agreement are two of the major research topics of WBAN communication, and secure and efficient key generation and agreement methods are required by WBAN.
In this project, I proposed a new key generation method and a new key agreement method. The new key agreement method increases the key generation rate multiple times with the helps from the neighbor nodes. Overall it consumes a little bit more energy but speeds up the key generation procedure and avoids deployment of extra hardware (e.g., antenna). The new key agreement method improves the Improved Juels and Sudan (IJS) algorithm to achieve higher performance in data encoding. Also it improves the Reed-Solomon decoding algorithm to tolerate least significant data differences by intensifying local computation instead of passing more check symbols to the other side.
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. Liudong Xing, Department of Electrical & Computer Engineering; Dr. Haiping Xu, Department of Computer and Information Science
*For further information, please contact Dr. Honggang Wang at 508.999.8469, or via email at hwang1@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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Mechanical Engineering Industrial Systems Engineering (ISE) MS Project Presentation by Mr. Jason T. Galary
- Location: Textiles Building 101E
- Contact: Mechanical Engineering Department
- Description: Mechanical Engineering Industrial Systems Engineering (ISE)
MS Project Presentation by Mr. Jason T. Galary
May 10, 2016
1:00 p.m. 3:00 p.m.
Textile Building, Room 101E
TOPIC:
A Response Surface Methodology and Central Composite Design for the Optimization of a Fluorocarbon Gel Manufacturing Process
ABSTRACT:
In this study a Design of Experiments (DOE) methodology combined with a Central Composite Response Surface Design was employed to optimize the manufacturing process of a fluorocarbon gel. The manufacturing of a fluorocarbon gel is a chemical process where polyalphaolefin is gelled with polytetrafluoroethylene (PTFE) to create a material used in the lubrication of automotive steering shafts and other components. The current manufacturing process that is being optimized suffers from high variability which is caused by the lack of understanding and control of process variables. Through linear regression, an empirical model was constructed and used with a cost equation in a multi-objective optimization simulation in Matlab. This simulation used a Genetic Evolutionary Algorithm to determine the optimal conditions for the manufacturing process and was compared to the results from the DOE.
ADVISOR:
Dr. Wenzhen Huang
COMMITTEE MEMBERS:
Dr. Farhad Azadivar, Dr. Vijaya Chalivendra
Open to the public.
All MNE students are encouraged to attend.
Please contact Dr. Wenzhen Huang for more information (whuang@umassd.edu, 508-910-6568).
Thank you,
Sue Cunha
Administrative Assistant
- Topical Areas: Faculty, General Public, Students, University Community, College of Engineering, Mechanical Engineering, Lectures and Seminars
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4/13
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5/11
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Online Teaching and Learning Strategies
- Location: Online
- Contact: CITS Instructional Development
- Description: In this course, we will introduce you to current research and best practices for both online and blended teaching as well as showcase examples of successful teaching strategies for both methodologies. Throughout the course you will work both independently and collaboratively with your peers to gain valuable online course transition experience and develop strategies in online teaching and learning. As a participant, you will learn both pedagogical aspects of teaching online as well as how to use and incorporate many of the tools available in the myCourses Learning Management System used at UMD. The ultimate goal of the course is to have you begin planning, organizing and building the course you eventually plan to teach. In addition, this course will introduce you to tools that will teach you how to self-assess course site design to ensure student ease of access to course content and to facilitate more streamlined student learning and retention.
- Link: http://instructionaldev.umassd.wikispaces.net/Online+Teaching+Guide
- Topical Areas: Training, Workshop, audience: Faculty, topic: Faculty Development
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3:00 PM
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5:00 PM
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EAS Ph.D. Proposal Defense by Amruta A. Meshram
- Location: > See description for location
- Contact: EAS Seminar Series
- Description: Location: CCB-306
TITLE: MODELING AND PREDICTIVE ANALYTICS OF STREAMING HEALTHCARE DATA
Abstract: The amount of data in healthcare services is increasing with a high pace and is being generated every second. In the recent years, the healthcare systems around the world are experiencing fundamental transformation, as they move from a volume-based to a value-based healthcare delivery model. The data generated in healthcare services is mostly streaming data which can be in form of number, text or image. Medical researchers are using streaming data to speed up the decision making in hospital settings and improve healthcare outcomes for patients. The use of streaming big data has a potential to meet future market needs and trends in the healthcare organizations, it also gives an opportunity for physicians, epidemiologists, and health policy makers and analysts to make data-driven decisions that will ultimately improve patient care. By being able to quickly mine and analyze the huge amount of data and fulfil the growing demand is a challenging task This research aims to highlight modeling and performing predictive analysis on streaming healthcare data. One of such example is predicting freezing of gait (FoG) in Parkinson disease (PD). FoG is mostly frequent in the later stages of PD. Freezing of gait unable the patient to move the feet despite of his willingness to walk. This can lead the patient to fall and demotivate the patient to move. This disease can be treated with pharmacologic treatment but the effect of this drugs decrease, with the elapse in the duration of disease and also reduces mobility of the patient. Therefore, non-pharmacologic treatment is needed. In this research, we propose machine learning algorithms to detect the freezing in PD patients that can go along with non-pharmacologic treatments. Different data mining algorithms such as logistic regression, decision tree and random forest are applied to the data. We tested our algorithm on 10 patients suffering from PD. We performed user-dependent experiments on each patients and made a comparison on all the three algorithms based on sensitivity, specificity and misclassification error. This work would increase our basic understanding in streaming data in healthcare and will help towards assessing healthcare organization. In future, we will like to apply neural network on the same dataset and also like to focus our research in analyzing streaming text data in the healthcare services.
Advisor: Dr. Bharatendra Rai, Charlton College of Business
Committee members: Dr. Dan Braha and Dr. Gang Wang, Charlton College of Business;
Dr. Kristen Sethares, College of Nursing
- Topical Areas: University Community, _Charlton College of Business, College of Arts and Sciences, College of Engineering
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