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Tuesday, December 20, 2016
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12:00 PM
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2:00 PM
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College of Nursing Graduate Program- Doctoral Dissertation Defense
- Location: CCB 115
- Contact: College of Nursing & Health Sciences
- Description: Transitioning to Concept-based Teaching: A Qualitative Descriptive Study from the Nurse Educator's Perspective
A Dissertation in Nursing
William Dean, PhD(c), MSN, RN-BC
Nursing PhD Candidate
Date: December 20, 2016
Location: Charlton College of Business, Room 115
Time: 12pm-2pm
Dissertation Committee:
Marilyn Asselin, PhD, RN-BC (Chair)
Caitlin Stover, PhD, RN, PHCNS-BC, CNE
Maryellen Brisbois, PhD, RN, APHN-BC
- Topical Areas: Faculty, General Public, Staff and Administrators, Students, Students, Graduate, Students, Law, Students, Undergraduate, University Community
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8:00 AM
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11:00 PM
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9:15 AM
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11:15 AM
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Research Component of PhD Qualifier Exam By: Prinkle Sharma
- Location: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
- Cost: Free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: Topic: Securing Wireless Communications of Connected Vehicles with Artificial Intelligence
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
Self-driving cars is an autonomous vehicle capable of fulfilling all the essential pre-requisite which are needed to drive a car by a human. By 2020, Self-Driving cars are aiming to make human permanent back seat driver. From 2009, when the concept of self-driving cars came into existence till now in 2016, there is a huge growth and advancement in this field. Big firms that are living the dream of making self-driving car no longer science fiction are working on making it a reality and testing them in the real world scenarios. Google, Tesla, Uber, BMW, Apple and many other companies along with their team are in race of developing self-driving car and investing more than $100 million for this project. Various testbed experiments had already been performed in labs and on road to check the vulnerability of self-driving cars. These systems, through the use of computers, infrastructures, and other devices, aim at insuring safe distances, and controlling the routing of vehicles. However, little attention is paid when it comes to safety and security issues with the vehicles driven by computers without human interference. Falsification of meter readings, disablement of brake function, and other unauthorized controls by spoofed messages injected into the communication network for Self-driving Vehicles emerge as security threats. The countermeasures must be considered at the design stage, as opposed to afterthought patches, effectively against cyber hackings. Current standards oversubscribe security measures by validating every message circulating in the vehicular network, making it subject to Denial-of-Service Attacks when an adversary easily launches massive bogus messages to hog the system. This research project aims at developing a technique where wireless communication among the connected vehicle is secured using artificial intelligence, thereby enhancing the safety.
Note: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Hong Liu
Committee Members: Dr. Honggang Wang, Department of Electrical & Computer Engineeringunder
and Dr. Xiaoqin (Shelley) Zhang, Department of Computer and Information Science
*For further information, please contact Dr. Hong Liu at 508.999.8514, or via email at hliu@umassd.edu.
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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11:30 AM
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1:30 PM
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Master of Science Project Defense By: Sameer Bharadwaj Kencham
- Location: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
- Cost: Free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: Topic: Extracting Network Models from Graphical Information System (GIS) Data
Location: College of Engineering Conference Room, Textile's Building - Room 101E
ABSTRACT:
The Homeland Infrastructure Foundation-Level Data (HIFLD) website provides geospatial data within the open public domain that can be useful to support community preparedness, resiliency, research, and more. This project employed the ArcGIS graphical information system software to transform cellular tower data into a format suitable for conducting network reliability analysis. This report describes the steps required to perform the transformation. Future work can generalize these methods to other datasets provided on the HIFLD website.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Lance Fiondella
Committee Members: Dr. Liudong Xing, Department of Electrical & Computer Engineering and Dr. Iren T. Valova, Department of Computer and Information Science
*For further information, please contact Dr. Lance Fiondella at 508.999.8596, or via email at lfiondella@umassd.edu.
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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12/13
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Today
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Winter Move Out Collection
- Location: > See description for location
- Contact: > See Description for contact information
- Description: The Sustainability office is hosting a Winter Move Out Collection where students can donate any unwanted items such as: clothes, non-perishable food, electronics, toys books etc. There will be a bin in each residence hall for students to use during that time.
- Topical Areas: Students
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