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Monday, December 13, 2021
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7:00 PM
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7:30 PM
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MONDAY NIGHT CLASS - Meditation Discussion
- Location: > See description for location
- Cost: 0
- Contact: > See Description for contact information
- Description: Are you a meditator or curious about meditation? Have questions or experiences to discuss? Want to hear about other people's experiences? MONDAY NIGHT CLASS may be for you!
ALL FORMS of yoga, meditation, mindfulness and contemplative practice can provide serious health benefits. Regular practice is needed but can be difficult without a support group.
MONDAY NIGHT CLASS is a WEEKLY ONLINE SALON-style meeting for discussion of contemplative practice. It's free and open to all. The "SALON" concept refers to people gathering for lively informal conversation, often on literary and philosophical topics.
BEGINNING September 27, we'll meet ONLINE every Monday, from 7:00-8:30pm
For info contact Jerry Solfvin, PhD, at JSOLFVIN@UMASSD.EDU
FREE & OPEN TO ALL. Register in advance at:
https://umassd.zoom.us/meeting/register/tJUpc-muqTsiHdHYkvFounmHQy86Xtxpsykk
- Link: https://www.umassd.edu/programs/indic-studies/
- Topical Areas: Alumni, Faculty, General Public, Students, Students, Graduate, Students, Law, Students, Undergraduate, University Community, Aging and Health Studies, College of Arts and Sciences, Indic Studies, Judaic Studies, Philosophy, Psychology, Religious Studies, Health Services, Center for Indic Studies, Center for Jewish Culture, Center for Religious and Spiritual Life, Student Affairs
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7:00 PM
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7:30 PM
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Tuesday, December 14, 2021
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2:00 PM
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3:00 PM
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EAS PhD Proposal Defense Presentation by Christopher J. Hixenbaugh
- Location: Online
- Contact: > See Description for contact information
- Description: EAS PhD Proposal Defense Presentation by Christopher J. Hixenbaugh
Date: December 14, 2021
Time: 2:00 p.m.
Topic: A Model-Free Deep Reinforcement Learning Approach to UUV Control with Mixed Numerical Precision
Zoom Teleconference:
For meeting access please contact Anne-Marie Bedard at abedard1@umassd.edu.
Abstract:
Control systems for Unmanned Undersea Vehicles (UUVs) are typically implemented using Proportional Integral Derivative (PID) control systems. PID control systems for UUVs are resource-intensive to tune because they require several engineers, marine operators, and ship crew to spend time offshore to tune the controller. Furthermore, PID controllers rely on complex dynamic system models that contain assumptions to reduce the computational complexity of the models but degrade the controller's performance if an environmental condition is encountered that conflicts with an assumption. In this study, a Deep Reinforcement Learning control system based on the Deep Deterministic Policy Gradient (DDPG) algorithm is studied for a UUV control system. The DDPG algorithm is model-free, meaning that a complex dynamic system model is not needed to learn and provide optimal control performance. Secondly, Deep Reinforcement Learning control systems are tuned autonomously, which can greatly reduce the resources needed for controller tuning. One drawback to Deep Reinforcement Learning is that it can be more computationally and resource-intensive than is acceptable for some situations. To improve upon this, this study will investigate how mixed floating-point precision with loss scaling can be used to reduce the time and computational resources needed to train the DDPG agent.
ADVISOR(S): Dr. Alfa Heryudono, Department of Mathematics (aheryudono@umassd.edu, 508-999-8516)
COMMITTEE MEMBERS:
Dr. Scott Field, Department of Mathematics
Dr. Firas Khatib, Department of Computer and Information Science
Dr. Ming Shao, Department of Computer and Information Science
Dr. Eugene Chabot, Naval Undersea Warfare Center Division Newport
NOTE: All EAS Students are ENCOURAGED to attend.
- Topical Areas: Alumni, Faculty, Staff and Administrators, Students, Students, Graduate, Students, Undergraduate, Mathematics, Bioengineering, Civil and Environmental Engineering, College of Engineering, Computer and Information Science, Co-op Program, Electrical and Computer Engineering, Mechanical Engineering, Physics
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7:00 PM
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7:30 PM
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Wednesday, December 15, 2021
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8:00 AM
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11:00 PM
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12:30 PM
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1:30 PM
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Department of Estuarine and Ocean Sciences Special Seminar Announcement - Alice Pietri
- Location: > See description for location
- Contact: > See Description for contact information
- Description: The School for Marine Science and Technology
Department of Estuarine and Ocean Sciences
Special Seminar Announcement
"Marine Heat Waves in the Peru-Chile Upwelling System"
Alice Pietri
Associate Scientist
FONDECYT - IMARPE
Peru
Wednesday, December 15, 2021
12:30 pm to 1:30 pm
SMAST East Rooms 101/102
And Via Zoom
Abstract
Extreme climatic events, such as marine heatwaves (MHWs), can disrupt ecosystems significantly. Those discrete events of anomalously high temperature have been shown to globally increase in frequency and magnitude over the last decades. Coastal upwelling systems, because they are biodiversity hot-spots and socioeconomic hubs, are particularly vulnerable to those rapidly developing marine events. The coastal system of Peru and Chile in particular is highly exposed to climate variability because of its proximity to the equator. As such it is regularly impacted by El Niño events whose variability has been related to the longest and most intense MHWs in the region. However the intensively
studied El Niños tend to overshadow the MHWs of shorter duration that also have an important impact on the coastal environment as they can trigger other extreme events such as nearshore hypoxias and harmful algal blooms.
Using 38 years of satellite sea surface temperature data, the characteristics (spatial variability, frequency, intensity and duration) and evolution of MHWs in the South Tropical Eastern Pacific are investigated. The separation of events by duration allows to identify a spectrum, from El Niño events to shorter scale MHWs. Results show that the statistical distribution of MHWs properties, their spatial organization and preferential season of occurrence varies significantly in function of their duration. Besides, when removing large El Niño events, an
increase of occurrences, duration and intensity is observed over the last 38 years, contrary to the reduction that is observed in the region when considering all MHWs. Finally, the possible drivers are investigated to disentangle the role of the local (wind stress) and remote (equatorial variability) forcing in function of the events duration.
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Join Zoom Meeting
https://umassd.zoom.us/j/97440069270?pwd=L2Z1bDZESTFCKzJYZWduYVhWenYvZz09
Meeting ID: 974 4006 9270
Passcode: 428029
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213.244.140.110 (Germany)
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Meeting ID: 974 4006 9270
Passcode: 428029
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For additional information, please contact Sue Silva at s1silva@umassd.edu
- Topical Areas: School for Marine Sciences and Technology, SMAST Seminar Series
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3:00 PM
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4:00 PM
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Financial Aid Help Labs
- Location: Claire T. Carney Library, Room 128
- Contact: > See Description for contact information
- Description: Financial Aid Services wants to remind all students to file their FAFSA! Join the Financial Aid Services Street Team for FA Help Labs on Wednesdays from 3 to 4 p.m. and Fridays from 3 to 4 p.m. in Library 128 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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3:00 PM
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3:30 PM
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Friday, December 17, 2021
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9:00 AM
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11:00 AM
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ECE MASTER OF SCIENCE THESIS DEFENSE BY: Michael J. Benker
- Location: > See description for location
- Cost: Free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: Topic: Efficient and High Dynamic Range Gallium Arsenide Optical Modulators
Location: DION 110
Abstract:
Microwave Photonic links are used for the transmission of microwave signals over optical fiber. The advantages of microwave photonic links in comparison to conventional microwave links include lower loss, improved flexibility, and immunity to electromagnetic interference. Microwave photonic links consist of an optical source (laser), a modulator, a detector, and optical fiber. Requirements for modern EW applications include the acceptance of high optical power (250mW or higher), low noise figure (~3dB), efficiency (Vπ<5V) and bandwidth (20GHz or higher) for 1550nm optical wavelength operation. This work outlines the theory, design and nanofabrication process for an electro-optic modulator meeting current standards by modern microwave and Electronic Warfare systems for efficiency and spurious-free dynamic range in an intensity-modulated direct-detection link with preamplification using a low noise amplifier. The material platform for the modulator is the III-V semiconductor Gallium Arsenide. This device uses an intensity modulation scheme. Design efforts include epitaxial layer design, optical waveguide design, and microwave electrode design. Nanofabrication processes were tested at UMASS Lowell’s Nanofabrication Facilities and the GaAs/AlGaAs wafer was epitaxially grown in Massachusetts.
Note: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public.
Advisor: Dr. Yifei Li, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members: Dr. David A. Brown, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Dayalan P. Kasilingam, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Tariq Manzur, Adjunct Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
*For further information, please contact Dr. Yifei Li via email at yifei.li@umassd.edu.
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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2:00 PM
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3:00 PM
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Department of Fisheries Oceanography PhD Dissertation Defense by Siqi Li
- Location: > See description for location
- Contact: > See Description for contact information
- Description: The School for Marine Science and Technology
Department of Fisheries Oceanography
PhD Dissertation Defense Announcement
"A Coupled FVCOM-WRF Model: applications for Hurricane Sandy"
By
Siqi Li
Advisor:
Dr. Changsheng Chen, Professor, Department of Fisheries Oceanography,
School for Marine Science and Technology, University of Massachusetts Dartmouth
Committee Members:
Dr. Geoffrey Cowles, Associate Professor, Department of Fisheries Oceanography,
School for Marine Science and Technology, University of Massachusetts Dartmouth
Dr. Kenneth Brink, Department of Physical Oceanography, Woods Hole Oceanographic Institution
Dr. Robert Beardsley, Department of Physical Oceanography, Woods Hole Oceanographic Institution
Dr. Wendell Brown, Professor, Department of Estuarine and Ocean Sciences,
School for Marine Science and Technology, University of Massachusetts Dartmouth
Friday, December 17, 2021
2:00 pm
SMAST East, Rooms 101/102
836 S Rodney French Blvd, New Bedford, MA
Abstract:
This dissertation research represents the implementation of coupling the ocean model FVCOM and the atmosphere model WRF to study the air-sea interaction during Hurricane Sandy. The research contains two parts, coding development and model applications. The two models, WRF and FVCOM are coupled into one system, with ESMF as the coupler for data transferring, interpolation, and parallel communication. Four groups of variables are transferred from atmosphere to ocean as surface meteorology forcing, which are wind stress, heat fluxes, precipitation minus evaporation, and sea level pressure, with the re-adjustment of COARE algorithm. Meanwhile, the ocean model sends the SST to the atmosphere as bottom conditions. Both the hydrostatic scheme and the non-hydrostatic one are supported in the ocean component.
The FVCOM-WRF model is validated with a real-world experiment by simulating Hurricane Sandy in 2012. First, the OML role attributing to hurricane simulation is studied by applying the WRF with OML scheme. The comparison results between the cases with and without OML scheme show that including the OML dynamics enhanced the contribution of vertical mixing to the air-sea heat flux, thus leading to a better estimation of the center track and intensity. When the
FVCOM-WRF model is applied, a large improvement in the hurricane pathway and intensity, compared with the WRF case without OML. The simulated center location was slightly better than those when OML scheme was included, while the center pressure results were more underestimated with 0.5 hPa larger on mean error. Applying the FVCOM-WRF with the non-hydrostatic scheme in the ocean with a 2-km resolution grid in the max-wind zone can resolve convection. The non-hydrostatic ocean scheme could improve the hurricane intensity by 0.8 hPa on mean error. When the hurricane approached the ocean domain, the mean error of minimum pressure was reduced by 1.3 hPa. The pathway of non-hydrostatic case did not
simulate as well as the hydrostatic one. With the intrusion of non-hydrostatic scheme, the storm-induced mixing was much larger, with larger vertical velocity and 10~20-m deeper mixed layer depth.
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Join Zoom Meeting
https://umassd.zoom.us/j/99011556082?pwd=RWg5YnAwWlVhUDlXZmZ6dnJRWXFXUT09
Meeting ID: 990 1155 6082
Passcode: 341153
One tap mobile
+16468769923,,99011556082#,,,,*341153# US (New York)
+13017158592,,99011556082#,,,,*341153# US (Washington DC)
Dial by your location
+1 646 876 9923 US (New York)
+1 301 715 8592 US (Washington DC)
+1 312 626 6799 US (Chicago)
+1 669 900 6833 US (San Jose)
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
Meeting ID: 990 1155 6082
Passcode: 341153
Find your local number: https://umassd.zoom.us/u/ab1eQOz6hC
Join by SIP
99011556082@zoomcrc.com
Join by H.323
162.255.37.11 (US West)
162.255.36.11 (US East)
115.114.131.7 (India Mumbai)
115.114.115.7 (India Hyderabad)
213.19.144.110 (Amsterdam Netherlands)
213.244.140.110 (Germany)
103.122.166.55 (Australia Sydney)
103.122.167.55 (Australia Melbourne)
149.137.40.110 (Singapore)
64.211.144.160 (Brazil)
149.137.68.253 (Mexico)
69.174.57.160 (Canada Toronto)
65.39.152.160 (Canada Vancouver)
207.226.132.110 (Japan Tokyo)
149.137.24.110 (Japan Osaka)
Meeting ID: 990 1155 6082
Passcode: 341153
********************************************************************************
Please contact Sue Silva at s1silva@umassd.edu for additional information.
- Topical Areas: SMAST Seminar Series, School for Marine Sciences and Technology
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Saturday, December 18, 2021
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8:00 AM
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11:00 PM
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