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faculty
Mazdak Tootkaboni, PhD
Professor
Civil & Environmental Engineering
Contact
508-999-8465
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Textiles 227
Education
| 2009 | Johns Hopkins University, Baltimore, MD | PhD in Structural Mechanics |
| 2002 | Tehran University, Iran | MSc in Civil Engineering |
| 2000 | Tehran University, Iran | BSc in Civil Engineering |
Teaching
Programs
Programs
Teaching
Courses
The behavior of materials and members under axial load, torsion, flexure, shear and combined loads, including the deflection of beams and buckling of columns. The relationship between stress and strain, principal stresses and strains and yield and fracture criteria are discussed. Previously offered as CEN 303.
Analysis of forces, moments, and deformations of determinate and indeterminate beams, fames, trusses, and other structural systems. Classical and computer methods used. (Formerly offered as CEN 321.)
Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the EAS Graduate Program Director.
Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the EAS Graduate Program Director.
Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the EAS Graduate Program Director.
The first course in engineering mechanics, with two major objectives: first, to introduce the student to the science of engineering mechanics and second to introduce the student to the art of applying science to the solution of engineering problems. The specific vehicle or curriculum to accomplish these objectives will be a study of the statics of rigid bodies.
Supervised internships at suitable locations in industry and government. Internships must include training and supervision - both at the place of training and at the academic unit. This valuable form of professional training provides students with the opportunity to develop their engineering skills in an off-campus setting. Term paper required. Credit not be given retroactively. Prior arrangements necessary.
Teaching
Online and Continuing Education Courses
Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the EAS Graduate Program Director.
Doctoral thesis proposal development based on technical writing process, data interpretation, experimental design. Students who successfully complete the course will be able to assess information from the primary scientific literature, formulate scientific questions (hypotheses), and generate an experimental plan to help validate or nullify their hypothesis. Students will demonstrate a command of oral and written communication skills by completing this course.
Research
Research awards
- $ 216,051 awarded by ONR / UNIVERSITY OF CALIFORNIA IRVINE for Optimal Design and Additive Manufacturing of Functionality Graded Shell-Based PH Steel Metamaterials
- $ 79,964 awarded by Michelin North America, Inc | Massachusetts Institute of Technology for Near-Miss Traffic Vehicle Statistics from Crowdsourced Data Analytics: Phase I. Graph Representation of Telematics Data and Modeling
- $ 150,066 awarded by US Department of Transportation | Morgan State University for CMV Safety Countermeasures using Telematics and Driving Simulator Data
- $ 477,181 awarded by Office of Naval Research for UMassD MUST III: Multi-Fidelity Information Fusion for Accelerated Predictive Modeling and Optimal Design of High Entropy Alloys
- $ 387,696 awarded by Office of Naval Research for UMassD MUST II: A Unifying Framework for AM Process-Informed Design of High-Contrast Multi-Material Systems for Eigenvalue-Driven Physics
Research
Research interests
- Data-centric, uncertainty-informed, and AI-enabled analysis and design
- Physics-informed machine learning
- Topology optimization for design of structures and architected materials
- Multi-fidelity information fusion and information theoretic design of experiments
- Stochastic computational mechanics
Select publications
- A. Asadpoure, M. Tootkaboni, and J.K. Guest (2010).
Robust topology optimization of structures with uncertainties in stiffness - application to truss structures
Computers and Structures
Dr Tootkaboni received his PhD in engineering mechanics from the Department of Civil and Systems Engineering at the Johns Hopkins University. Since 2010, He has been on the faculty of the Department of Civil and Environmental Engineering at University of Massachusetts Dartmouth (UMassD) with joint appointments in Center for Scientific Computing and Data Science Research and the Department of Mechanical Engineering.
Dr Tootkaboni’s research is cross-disciplinary and focuses on drawing upon advances in data analytics, machine learning, and optimization to develop techniques that help engineering mechanics community move towards resource-efficient, uncertainty-informed and climate-conscious solutions. He is a recipient of the NSF early CAREER award, the University of Massachusetts System President’s Science and Technology award, and the UMassD Chancellor’s Sponsored Research Recognition award, and serves on the editorial board of the ASCE Journal of Engineering Mechanics. He is also an active member of Engineering Mechanics Institute (EMI) and its Probabilistic Methods Committee and have consistently led technical sessions and minisymposia on a diverse array of topics such as resilience analytics, topology optimization and architected materials.
Dr Tootkaboni’s research has been funded by, NSF, ONR, USDOT, and Michellen North America as well UMass President’s office and has appeared on New York Times, and MIT news among others.