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Monday, July 25, 2022
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10:00 AM
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1:30 PM
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New Employee Orientation
- Location: > See description for location
- Contact: Human Resources
- Description: New Employee Orientation is held on a biweekly basis throughout the year for new employees of the University. Attendance at an Orientation session is a mandatory component of the onboarding process. This session will cover a wide range of topics to guide new employees in their transition to the University, including, but not limited to: HR policies; procedures; an overview of key departments and their functions, and detailed benefits information.
Location: TBD
- Topical Areas: Faculty, Staff and Administrators
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10:00 AM
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1:30 PM
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New Employee Orientation
- Location: > See description for location
- Contact: Human Resources
- Description: New Employee Orientation is held on a biweekly basis throughout the year for new employees of the University. Attendance at an Orientation session is a mandatory component of the onboarding process. This session will cover a wide range of topics to guide new employees in their transition to the University, including, but not limited to: HR policies; procedures; an overview of key departments and their functions, and detailed benefits information.
Location: TBD
- Topical Areas: Faculty, Staff and Administrators
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2:30 PM
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3:30 PM
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Student Corsair Jobs Zoom Lab
- Location: Online
- Contact: > See Description for contact information
- Description: When: July 25th, 2022
Time: 2:30-3:30pm
Where: Online
Join Zoom Meeting
https://umassd.zoom.us/j/97338384835?pwd=TXlLRERMeEo2cG85MSt3dUp0RkNoQT09
For more information, please contact the Student Employment Office at: stuemployment@umassd.edu
- Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate
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10:30 AM
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12:30 PM
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ECE - CPE Master of Science Thesis Defense by Dylan R. Tocci
- Location: > See description for location
- Cost: Free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: Topic: Decentralized Reinforcement Learning with FPGA Acceleration for Anomaly Detection in UAV Network
Location: Science & Engineering Building (SENG), Room 212
Zoom Conference Link: https://umassd.zoom.us/j/98135954802
Meeting ID: 981 3595 4802
Passcode: 759903
Abstract:
The field of cybersecurity is continually growing as new and more adaptive threats rise. Not only this, but as the Internet of Things (IOT) becomes more widespread, devices that need security also further diversifies. This thesis explores the use of machine learning as a method to adapt to new cybersecurity threats for unmanned aerial vehicle (UAV) security, without the need for centralization. In the proposed model, a UAV serves as a relay between ground users and a cloud server. Ground users send data through the UAV relay to the cloud server, with the possibility of malicious users also sending data. The UAV provides an intrusion detection system (IDS) for the cloud server, blocking or forwarding packets based on a reinforcement learning Deep-Q Network (DQN). The network used was trained on the CICIDS2017 data set, with a classification accuracy of 86.5% across six classes, and an anomaly detection accuracy of 99.9%. Additionally, the UAV was equipped with a convolutional neural network (CNN) to detect jamming attacks that may occur on the UAV's frequency band. This model was trained on a global navigation satellite system (GNSS) jamming data set with six classes - achieving a classification accuracy of 88.1% and anomaly detection rate of 99.1%. By achieving such high detection rates, this negates the need for a centralized UAV model as all UAVs can be self-sustained. Both the CNN and DQN were then compiled to run on an Zynq UltraSCALE+ ZCU102 system-on-chip (SoC) field-programmable gate array (FPGA) using Xilinx's Vitis-AI software. This simulates the possibility of using a Xilinx's Vitis-AI hardware to speed up machine learning inference time. The compiled model provides a speed up in inference of 9.67x and 47.1x on the CNN and DQN respectively when compared to an AMD Ryzen 5600x CPU, with a minimal impact on accuracy. These results demonstrate that deep learning can effectively be used to provide UAV security as both an IDS for a cloud server and jamming detection system for itself. It also showcases the performance benefits of using FPGA hardware acceleration to maximize the throughput of the UAV.
Advisor(s): Dr. Ruolin Zhou, Assistant Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members: Dr. Hong Liu, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Honggang Wang, Professor, Department of Electrical & Computer Engineering, 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. Ruolin Zhou via email at rzhou1@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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Excel Formulas and Functions
- Location: Claire T. Carney Library, Room 128
- Cost: Free!
- Contact: CITS Instructional Development
- Description: This intermediate to advanced workshop explores the use of formulas and functions in Excel. Topics covered include text functions, named cell ranges, conditional formatting, conditional statements, absolute cell references, as well as the VLOOKUP function. The Introduction to Excel workshop or equivalent previous experience is required.
This workshop takes place in the Library, room 128. Please note that there will be construction in the Library Learning Commons during July, and the workshop may need to be moved to a different location.
Contact Rich Legault for more information at 508-999-8799,
or email RLegault@umassd.edu.
Seating is limited, so please register today!
- Topical Areas: Training, Workshop
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Tuesday, July 26, 2022
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1:30 PM
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3:30 PM
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Introduction to Photoshop, Part 2
- Location: Claire T. Carney Library, Room 128
- Cost: Free!
- Contact: CITS Instructional Development
- Description: The second workshop in the three part series covers the use of Photoshop’s sophisticated painting and selecting tools. Participants learn about blending modes, as well as the creation of custom brushes. The selecting tools are used to separate objects from their backgrounds to create a composite image. Previous Photoshop experience, or Part 1 of the Introduction class is required.
Note that this workshop has been moved to Library room 226.
Contact Rich Legault for more information at 508-999-8799,
or email RLegault@umassd.edu.
Seating is limited, so please register today!
- Topical Areas: Training, Workshop, audience: Everyone
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Wednesday, July 27, 2022
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10:00 AM
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11:00 AM
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Summer Financial Aid FAFSA Help Labs
- Location: Claire T. Carney Library, Room 226
, 285 Old Westport Road, Dartmouth, MA
- Contact: > See Description for contact information
- Description: Financial Aid FAFSA Help Labs in Library 226
Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for FAFSA Help Labs in Library 226 on Wednesdays from 10am to 11am for help filing your FAFSA and learning more about financial aid.
Contact Mark Yanni
myanni@umassd.edu
- Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate, Financial Aid
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2:00 PM
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3:15 PM
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Getting Started with Qualtrics
- Location: Claire T. Carney Library, Room 128
- Cost: Free!
- Contact: CITS Instructional Development
- Description: UMass Dartmouth has selected Qualtrics as our Internet survey tool. All Faculty and Staff have access to create and publish their own surveys. Students may also use Qualtrics under the direction of a Faculty or Staff member. This workshop covers the authoring and administration of surveys, as well as data collection. Question types are covered in detail. No previous survey experience is necessary.
Note that access to Qualtrics is managed by the Office of Institutional Research and Assessment. Please contact Jonathan Bonilla at JBonilla1@umassd.edu at least three business days prior to this workshop to request access. Students must have a Faculty or Staff advisor request access on their behalf.
This workshop will take place via Zoom. A meeting link will be sent to registrants via email on the morning of the event.
Contact Rich Legault for more information at 508-999-8799,
or email RLegault@umassd.edu.
Seating is limited, so please register today!
- Topical Areas: Faculty Development, Training, Workshop, audience: Everyone
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Thursday, July 28, 2022
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2:30 PM
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3:30 PM
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Supervisor Corsair Jobs Zoom Lab
- Location: Online
- Contact: > See Description for contact information
- Description: When: July 28th, 2022
Time: 2:30-3:30pm
Where: Online
Description: This Zoom Lab is for SUPERVISORS to review Corsair Jobs usage including job posting, hiring request submission, hiring request approval, workflow management, as well as supervisors' responsibilities (employee hourly tracking, checking workflow, etc.).
Join Zoom Meeting
https://umassd.zoom.us/j/91762573383?pwd=VjBxWEx2ZGpJSnJlaDJ6Mm5vKzZIdz09
For more information, please contact the Student Employment Office at: stuemployment@umassd.edu
- Link: https://umassd.zoom.us/j/91762573383?pwd=VjBxWEx2ZGpJSnJlaDJ6Mm5vKzZIdz09
- Topical Areas: Faculty, General Public, Staff and Administrators, University Community, University Marketing, Financial Aid
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Friday, July 29, 2022
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3:00 PM
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4:00 PM
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Summer Financial Aid FAFSA Help Zoom Labs
- Location: Online
- Contact: > See Description for contact information
- Description: Financial Aid FAFSA Help Zoom Labs
Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for FAFSA Help ZOOM Labs on Fridays from 3-4pm for help filing your FAFSA and learning more about financial aid.
Zoom link:
https://umassd.zoom.us/j/91570250746?pwd=d2NyRk9lVVg4V2krdVA2NkRBb1JYQT09
Contact Mark Yanni
myanni@umassd.edu
- Link: https://umassd.zoom.us/j/91570250746?pwd=d2NyRk9lVVg4V2krdVA2NkRBb1JYQT09
- Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate, Financial Aid
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Saturday, July 30, 2022
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10:00 AM
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12:00 PM
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Campus Tour
- Location: UMass Dartmouth
, 285 Old Westport Road, Dartmouth, MA
- Contact: Admissions
- Description: Your tour will include:
15 Minute Admissions Welcome presentation
45 minute walking tour of First year housing, Dining, and academic buildings.
Meeting with an Admissions counselor upon request after the tour
Please wear comfortable shoes and plan for our various New England weather.
If you have questions please contact Undergraduate Admissions:
508-999-8605
admissions@umassd.edu
- Link: https://apply.umassd.edu/register/?id=f0dfc19c-d5af-4e0f-a912-d16968b2f390
- Topical Areas: General Public, Students, Undergraduate, University Marketing, Undergraduate Admissions
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