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Aug23
ProCard & Travel Card Training
This 1 hour training class is required in order to obtain a University Procurement Card (Procard & Travel Card). Individuals may attend training either before or after submitting a Procard application, either way this training must be completed before an application receives final approval from Procurement.
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Aug24
Discussion of ESU Employee Job Classification System/Employee
The consulting group, McKnight and Associates, has been hired to evaluate and re-design our current job classification system. Staff members are invited to attend a focus group meeting with the consultant. These meetings will explore: · Areas of strength in the classification and compensation program; · Areas in which improvements seem needed; and, · Specific actions UMassD might take to achieve improvements. Sessions are limited to 12 people. Sessions will be held in CCB-248 Contact Verena Lisinski, vlisinski@umassd.edu, x8609, with questions.
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Aug24
Discussion of ESU Employee Job Classification System/Employee
The consulting group, McKnight and Associates, has been hired to evaluate and re-design our current job classification system. Staff members are invited to attend a focus group meeting with the consultant. These meetings will explore: · Areas of strength in the classification and compensation program; · Areas in which improvements seem needed; and, · Specific actions UMassD might take to achieve improvements. Sessions are limited to 12 people. Sessions will be held in CCB-248. Contact Verena Lisinski, vlisinski@umassd.edu, x8609, with questions.
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Aug24
Discussion of ESU Employee Job Classification System/Supervisor
The consulting group, McKnight and Associates, has been hired to evaluate and re-design our current job classification system. Staff members are invited to attend a focus group meeting with the consultant. These meetings will explore: · Areas of strength in the classification and compensation program; · Areas in which improvements seem needed; and, · Specific actions UMassD might take to achieve improvements. Sessions are limited to 12 people. Sessions will be held in CCB-248. Contact Verena Lisinski, vlisinski@umassd.edu, x8609, with questions.
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Aug24
Discussion of ESU Employee Job Classification System/Employee
The consulting group, McKnight and Associates, has been hired to evaluate and re-design our current job classification system. Staff members are invited to attend a focus group meeting with the consultant. These meetings will explore: · Areas of strength in the classification and compensation program; · Areas in which improvements seem needed; and, · Specific actions UMassD might take to achieve improvements. Sessions are limited to 12 people. Sessions will be held in CCB-248. Contact Verena Lisinski, vlisinski@umassd.edu, x8609, with questions.
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Aug24
Discussion of ESU Employee Job Classification System/Supervisor
The consulting group, McKnight and Associates, has been hired to evaluate and re-design our current job classification system. Staff members are invited to attend a focus group meeting with the consultant. These meetings will explore: · Areas of strength in the classification and compensation program; · Areas in which improvements seem needed; and, · Specific actions UMassD might take to achieve improvements. Sessions are limited to 12 people. Sessions will be held in CCB-248 Contact Verena Lisinski, vlisinski@umassd.edu, x8609, with questions.
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Aug24
Discussion of ESU Employee Job Classification System/Supervisor
The consulting group, McKnight and Associates, has been hired to evaluate and re-design our current job classification system. Staff members are invited to attend a focus group meeting with the consultant. These meetings will explore: · Areas of strength in the classification and compensation program; · Areas in which improvements seem needed; and, · Specific actions UMassD might take to achieve improvements. Sessions are limited to 12 people. Sessions will be held in the Board of Trustees Room. Contact Verena Lisinski, vlisinski@umassd.edu, x8609, with questions.
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Aug25
RapidLab Ribbon Cutting Ceremony at UMass Dartmouth CIE
Please join Massachusetts Lt. Governor Karyn Polito, Senator Michael Rodrigues, Representative Paul Schmid, and UMass Dartmouth Chancellor, Robert Johnson, on August 25th at 11:00 AM for a ribbon cutting ceremony to mark the opening of RapidLab, the new rapid prototyping center at the Umass Dartmouth Center for Innovation and Entrepreneurship (CIE). RapidLab features 3-D printers, 3-D scanners, and other innovative equipment designed to help companies to quickly and efficiently develop a prototype for their product or invention. The RapidLab was made possible through a $250,000 grant from the Massachusetts Seaport Economic Council awarded in 2016. Immediately following the ceremony, we will be providing tours of the CIE and several of our Tech Venture Companies will be on hand to demonstrate the products that they're developing here at the CIE. Last but not least, you are welcomed to stay and have lunch at our TVCs Summer Cookout. We look forward to seeing you there. Agenda: - Ribbon Cutting and Remarks - Tours and Tech Venture Company Exhibits - Lunch with Tech Venture Companies For more information, please contact Robbie Watkins at rwatkins@umassd.edu or 508-999-8056.
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Aug25
MNE / EAS Ph.D. Dissertation Defense: Ms. Jinya Liu
Mechanical Engineering (MNE) / Engineering Applied Science (EAS) Ph.D. Dissertation Defense by Ms. Jinya Liu DATE: August 25, 2017 TIME: 2:00 p.m. - 4:00 p.m. LOCATION: Textile Building, Room 101E TOPIC: Statistical Regular-Fractal Topography Modeling and Contact Analysis of RF MEMS Surface ABSTRACT: Surface contact quality of electrodes has been recognized as a key factor in RF MEMS switch performance and reliability design. Topography of the surfaces and contact mechanics determine the quality of the contact. Surface topography contains complex and random features, which make measurement, surface characterization/modeling and contact simulation a big challenge in predicting the contact quality. The objective of our research is to develop a methodology to measure, characterize, and model topography for contact modeling and correlating contact properties to the surface characterization. An interdisciplinary approach, which integrates metrology, statistics, fractal mathematics, and contact mechanics, is proposed to achieve the research goal. Specifically it includes: · Multi-scale sampling plan design: A sampling plan is proposed for surface measurement using atomic force microscopy (AFM). Topography on RF MEMS switch contacting surfaces are scanned by AFM at different length scales (e.g. 1x1, 10x10 and 60x60 mm2). A sample allocation plan is designed to maximize the spatial representative of the AFM scanning patches with different resolutions and uniformly distributed sample patches. The scanning data are used for characterizing, model estimation and contact analysis. · Topography characterization and statistical modeling: A flexible framework is created to accommodate various pattern structures. Regular patterns are found at coarser scales (e.g. 10x10 and 60x60 mm2). Random irregularity and the fractal structure are observed at finer scales (e.g. 1x1 mm2). A regular-fractal model is proposed to decompose and characterize the regular and fractal structures with two model components: one for the regular geometric pattern and the other for fractal irregularity. The model validation is made through the comparisons of topography and conventional roughness parameters between the results of simulation from the proposed model and that derived from AFM scanned data. · Elasto-plastic contact analysis: A non-adhesive, frictionless contact analysis is carried out to investigate the contact aspects of RF MEMS capacitive switches by finite element software COMSOL. Elastic-plastic contact model is employed based on the AFM data of different scales (e.g. 1x1, 10x10 and 60x60 mm2) to represent the regular pattern dominate surface, and regular-fractal and fractal structure dominate surfaces. Loading/ unloading cycles are applied to simulate the working status of RF MEMS switch. Dimensionless contact area vs dimensionless load curve were determined and compared for different cycles. Dominant micro-scale regular patterns were found to significantly change the contact behavior. Contact areas mainly clusters around the regular pattern. The contribution from fractal structure is not significant. Under cyclic loading conditions, plastic deformation in 1st loading/unloading cycle smoothen the surface. The subsequent repetitive loading-unloading cycles undergo elastic contact without changing the morphology of the contacting surfaces. The work is expected to shed light on the quality of switch surface contact as well as optimum design of RF MEM switch surfaces. ADVISORS: Dr. Wenzhen Huang (whuang@umassd.edu, 508-910-6568) Dr. Vijaya B. Chalivendra (vchalivendra@umassd.edu, 508-910-6572) COMMITTEE MEMBERS: Dr. Wenzhen Huang, Department Mechanical Engineering, UMD Dr. Vijaya B. Chalivendra, Department of Mechanical Engineering, UMD Dr. Sherif D. El Wakil, Department of Mechanical Engineering, UMD Dr. Jianyi Jay Wang, Department of Physics, UMD Dr. Charles L. Goldsmith, President, MEMtronics Corporation Open to the public and all are welcome! Mechanical Engineering and Engineering Applied Science students are encouraged to attend. For more information, please contact Dr. Wenzhen Huang (whuang@umassd.edu) or Dr. Vijaya Chalivendra (vchalivendra@umassd.edu).
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Aug28
EAS PhD Program (CSE Option / MNE) PhD Proposal Defense by Mr. Wen Jin
Engineering and Applied Science PhD Program (CSE Option / Mechanical Engineering) PhD PROPOSAL DEFENSE by Mr. Wen Jin DATE: August 28, 2017 TIME: 11:00 a.m. 1:00 p.m. LOCATION: Textile Building, Room 101E TOPIC: Computational Investigation of the Impingement of Water Droplets on Freezing Superhydrophobic Surfaces ABSTRACT: Wind provides a clean and renewable source of energy that has great potential, particularly in the cold climate areas. However, in cold climates, ice formation on wind turbine blades is common and becomes a serious challenge. Ice formation can reduce the aerodynamic performance of wind turbines by increasing drag and causing flow separation. Also, heavy ice buildup on the blades may unbalance the turbine and cause catastrophic failures. Most importantly, ice layers formed on rotating blades can detach with significant momentum and cause fatal accidents or damage nearby facilities. Recently, several laboratory experiments show that water droplets impacting freezing superhydrophobic surfaces (SHS) can bounce off the surface before any ice is formed. The SHS are hydrophobic surfaces that are enhanced by adding micro-textures, such as posts or pillars, on the surface and/or by chemical hydrophobic coatings. Although the efficacy of SHS in preventing ice formation during the impact of millimeter-size water droplets has been established by various laboratory studies, further investigation is needed to determine whether such surfaces can prevent ice formation on wind turbine blades under real-world conditions, where micron-size droplets impact the surface at high speeds. This work presents computational simulations of the impingement of micron-size water droplets on freezing SHS at various Weber numbers, droplet initial temperatures, and surface temperatures. The simulation results are from an in-house volume-of-fluid based, free-surface flow solver with phase change. While the surface has been assumed smooth in these simulations, the effects of the surface micro-textures on the contact angle and thermal contact resistance were taken into account. The first objective was to investigate the conditions under which the droplets bounce off the surface or stick to the surface and freeze. The transition between the bouncing and sticking regimes is determined. Then, analyzing the timescales for droplet freezing and drop-surface contact, a theoretical model was developed for predicting the above transition. The predictions of the theoretical model are compared against the transition conditions observed in the computational simulations and experiments. Next, it is proposed to enhance the flow solver to include the surface micro-textures, which requires a robust numerical method for capturing the contact line pinning on complex surface textures in 3D. The proposed numerical method for contact line pinning and the preliminary 2D results are presented. The enhanced flow solver will enable a detailed investigation of the effects of surface texture geometry and the air entrapment under the droplet and between surface textures. The study will lead to design of textured super-ice-phobic surfaces that are specially engineered for the flow fields around wind turbine blades. ADVISOR: Dr. Mehdi Raessi COMMITTEE MEMBERS: Dr. Sankha Bhowmick, Dr. Gaurav Khanna, Dr. Jun Li Open to the public. All MNE and EAS students are encouraged to attend. For more information, please contact Dr. Raessi (mraessi@umassd.edu, 508-999-8496). Thank you, Sue Cunha, Administrative Assistant Department of Mechanical Engineering College of Engineering University of Massachusetts Dartmouth 285 Old Westport Road Dartmouth, MA 02747-2300 Science & Engineering Building, Room 116E 508-999-8492/Telephone 508-999-8881/Fax scunha@umassd.edu
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Aug30
Oral Comprehensive Exam for Doctoral Candidacy by: Paul C. Proffitt
Topic: High Clutter, Close Range, Wi-Fi Imaging and Probabilistic, Learning Classifier Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A Abstract: This proposal plans on using Wi-Fi signal processing and neural networks to identify static and moving objects in a room, which involves many challenges such as very close range, high clutter, running real-time, classifying rough images, and many other problems to be encountered. Radar usually involves distant targets, but creating and identifying images indoors at close range with only Wi-Fi signals is a whole other world of processing. In the past few years, people have worked on using Wi-Fi for identifying actions, but this proposal plans on using Wi-Fi on static (non-moving) and moving objects. The images created will be barely identifiable due to the low resolution of Wi-Fi, but the images need to be classified (identified). Classifying the resultant images will be a challenge and requires some form of Artificial Intelligence (AI). There are two major portions to this proposal. The first is the signal processing portion, where images are created, and the second is the image classification portion, using AI neural networks. In the signal processing portion, images will be created by using Wi-Fi signals transmitted and received on Ettus Universal Software Radio Peripheral (USRP) hardware and directional antennas. This situation is unlike typical radar, which has the luxury of transmitting then listening due to large distances to targets. Further, GNU Radio, the interface to USRp's, will allow the proposer to develop new algorithms. The proposer has become a near expert in GNU Radio development. In the image classification phase, the images created will be very blob-like with different reflective intensities. These are not your typical images for a classifier. These images need some form of intelligence to classify them, and the system needs to improve its classification over time. AI neural networks will be employed and developed to work on the images such as developing weights and new algorithms to improve classification.. NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public. Advsior: Dr. Honggang Wang Committee Members: Dr. Dayalan P. Kasilingam and Dr. Liudong Xing, Department of Electrical & Computer Engineering; 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.
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Aug31
New International Student Orientation
Mandatory orientation for all new international students
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