Share on Facebook
Share this on X
Share on LinkedIn
Print this page
Email this page

HOME
Colleges and Schools
//
College of Engineering
//
Departments
//
Department of Civil & Environmental Engineering

In this section

About
- Facilities
- Advisory Board
Undergraduate
Faculty
Graduate
Research
- Projects

In this section

About
Undergraduate
Faculty
Graduate
Research

Department of Civil & Environmental Engineering

Civil & Environmental Engineering: building skills to build a better world.

Civil and environmental engineering is the engineering of constructed facilities:

buildings, bridges, tunnels, and dams
harbors and airports
waterways, railways, and highways
water power, irrigation, drainage, and water supply
wastewater and hazardous waste disposal
environmental health systems

Civil engineers are the professionals who plan, design, direct the construction, and oversee the maintenance of these facilities.

Academic programs

BS in Civil Engineering
BS in Civil Engineering - Environmental Resources Engineering Concentration
BS/MS in Civil & Environmental Engineering - Accelerated Program
MS in Civil & Environmental Engineering

Students who study civil engineering may be interested in pursuing advanced degrees, including UMassD's PhD in Engineering & Applied Science.

Excellence in civil engineering

The department’s faculty members are excellent teachers, active researchers, and recognized innovators, with a focus on:

coastal engineering
environmental engineering
geotechnical engineering
structural engineering
transportation engineering
water resources engineering

Our up-to-date classrooms, laboratories, and facilities make cutting-edge learning and discovery possible—with research opportunities available at both the undergraduate and graduate levels.

Civil & environmental engineering at UMassD

Accreditation
Educational objectives
Learning outcomes
Research

Department News

News

PhD graduate Shabnam Mohammadshahi in Dr. Ling's lab

Newly minted PhDs receive prestigious post-doc, tenure-track faculty appointments

Two class of 2024 engineering PhD graduates are moving on to highly competitive postdoctoral research and tenure-track faculty positions

Aerial view of UMass Dartmouth's main quad.

UMass Dartmouth is trending up

Highlights of an extraordinary academic year

PhD student David Anchieta in Sydney, Australia

Electrical engineering PhD student wins Best Paper Award from Acoustical Society of America

David Campos Anchieta recently received the award for a paper he presented at the ASA meeting in Sydney, Australia

Contact

Department of Civil & Environmental Engineering

Violette, Room 110
UMass Dartmouth
285 Old Westport Road
Dartmouth, MA 02747-2300

508-999-8464
508-999-8964
memanuello@umassd.edu

Chairperson

Daniel MacDonald, PhD

Professor
SMAST / Estuarine & Ocean Sciences
School for Marine Science & Technology East, New Bedford 233

508-910-6334
dmacdonald@umassd.edu

Daniel MacDonald, PhD

Professor / Co-Chairperson
Civil & Environmental Engineering
Violette Research 107B

508-910-6334
dmacdonald@umassd.edu

Jonathan Mellor, PhD

Assistant Teaching Professor / Co-Chairperson
Civil & Environmental Engineering
Violette Research 108B

508-999-8464
jmellor@umassd.edu

Events

Jul

10:00AM

ELEC Oral Comprehensive Exam for Doctoral Candidacy by Charles Montes - ECE

Topic: Machine Learning Optimization for Dynamic Spectrum Awareness Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A Zoom Link: https://umassd.zoom.us/j/99705551586 Meeting ID: 997 0555 1586 Passcode: 604747 Abstract: This dissertation proposes a machine learning-based approach focused on improving dynamic spectrum awareness in wireless communications. The approach is comprised of four main components: network optimization with genetic algorithm convolutional neural networks (GACNN), which focuses on optimizing neural network architectures for specific tasks to reduce the complexity and cost of the network optimization process; unsupervised prototype learning, which uses hierarchical clustering and a prototype-based learning objective to estimate signal-to-noise ratio (SNR) regions and perform modulation classification to improve the identification of new spectrum users; deep neural network explainable AI (DNN XAI), which will develop methods to increase the transparency and interpretability of machine learning models in deep neural networks to ensure compliance with spectrum regulatory standards; and lastly, incremental learning class representation drift, which will evaluate the performance of incremental learning methods in baseband modulation classification to establish a continuous learning process that adapts to dynamic environments. By addressing gaps in current spectrum management techniques, these components aim to improve spectrum utilization, increase machine learning-based communication interpretability, and provide an informed model for future spectrum management strategies. Advisor(s): Dr. Ruolin Zhou, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Alfa Heryudono, Associate Professor, Department of Mathematics, UMASS Dartmouth; Dr. Eugene Chabot, Engineer, Naval Undersea Warfare Center (NUWC) 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 ruolin.zhou@umassd.edu.

See description for location

Jul

2:00PM

Mechanical Engineerin MS Thesis Defense by Mr. Daniel J. O'Coin

Mechanical Engineering MS Thesis Defense by Mr. Daniel J. O'Coin DATE: July 23, 2024 TIME: 2:00 p.m. - 4:00 p.m. LOCATIONS: Science & Engineering (SENG) Building, Room 110 and on Zoom: https://umassd.zoom.us/j/94136706089?pwd=xwKSJQdtQ0iDdJ5gj0XU4cqfQBweNY.1 (Password: 443450) TOPIC: An Experimental Study of Bubble Formation on Super-Hydrophobic Surfaces ABSTRACT: This thesis experimentally studied the bubble formation on a superhydrophobic surface (SHS), which had a large equilibrium water contact angle (>150). Bubble formation is a crucial process for many industrial and biomedical applications, for example, pool boiling heat transfer, froth floatation, surface cleaning, and drug deliver. In this thesis, we captured the bubble formation under constant gas flow rates by using a high-speed camera. The SHS was fabricated by first sandblasting an aluminum surface and then coating the rough surface with hydrophobic nanoparticles. We systemically investigated the impacts of radius of SHS (RSHS), gas flow rate (Q), and surface tension () on bubble formation and bubble detached volume (Vd). First, we found that depending on RSHS, bubble formation followed two different modes: Mode A and Mode B. In Mode A for small RSHS, the contact line quickly pined at the rim of SHS after an initial expansion, and Vd increased as increasing RSHS. In Mode B for large RSHS, the contact line continuously expanded as the bubble grows. Second, we found that Vd increased as increasing Q, and the relation between Vd and Q followed similar trends after proper normalizations, regardless of the types of surfaces and the values of equilibrium contact angle. During the necking, the bubble volume was nearly constant for small Q but increased significantly for large Q. Third, we found that as reducing , the equilibrium contact angle and surface area covered by gas reduced, leading to a smaller bubble base radius and smaller Vd. Moreover, we performed a force balance analysis and found that the main forces acting on the bubble were one lifting force (pressure force) and two retaining forces (surface tension force and buoyancy force). We found that the necking radius and time to pinch-off followed a power-law relation, which agreed well with that for the pinch-off of bubble on a nozzle. Last, we found that the Tate volume, derived based on the balance between surface tension and buoyancy, well predicted Vd. Overall, our results provided a better understanding of bubble formation on SHS and can be applied for: (i) the control of bubble generation by using complexed surfaces; and (ii) restoration of gas layer and extension of the longevity of SHS for applications such as drag reduction, anti-icing, anti-biofouling, and anti-corrosion. ADVISORS: - Dr. Hangjian Ling, Assistant Professor, Department of Mechanical Engineering, UMass Dartmouth COMMITTEE MEMBER: - Dr. Sankha Bhowmick, Professor, Department of Mechanical Engineering, UMass Dartmouth - Dr. Mehdi Raessi, Professor, Department of Mechanical Engineering, UMass Dartmouth Open to the public. All MNE students are encouraged to attend. For more information, please contact Dr. Hangjian Ling (hling1@umassd.edu).

See description for location

View Full Calendar

Last modified: Tue, Jan 22, 2019, 06:33 by Christine Allen

Check My Status

myUMassD

umassd.edu