J
Jennifer Mangold
Researcher at University of California, Berkeley
Publications - 10
Citations - 355
Jennifer Mangold is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Sustainability & Genetic algorithm. The author has an hindex of 4, co-authored 10 publications receiving 325 citations. Previous affiliations of Jennifer Mangold include University of California.
Papers
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Proceedings ArticleDOI
Wireless Sensor Networks for Home Health Care
C.R. Baker,Kenneth M. Armijo,S. Belka,Merwan Benhabib,V. Bhargava,Nathan Burkhart,A. Der Minassians,Gunes Dervisoglu,L. Gutnik,M.B. Haick,Christine Ho,Mike Koplow,Jennifer Mangold,Stefanie L. Robinson,M. Rosa,M. Schwartz,Christo Sims,H. Stoffregen,Andrew C. Waterbury,Eli S. Leland,Trevor Pering,Paul K. Wright +21 more
TL;DR: The goal of the work is to focus on health-related applications of wireless sensor networks and how current (and future) technologies will enable automated home health monitoring.
Journal ArticleDOI
The role of manufacturing in affecting the social dimension of sustainability
John W. Sutherland,Justin S. Richter,Margot J. Hutchins,David Dornfeld,Rachel Dzombak,Jennifer Mangold,Stefanie L. Robinson,Michael Zwicky Hauschild,Alexandra Bonou,Paul Schönsleben,Felix Friemann +10 more
TL;DR: In this article, the effects of manufacturing on social performance are framed for different stakeholder groups with associated social needs, and efforts to integrate social and another dimension of sustainability are considered, with attention to globalization challenges including offshoring and reshoring.
The engineering design process as a problem solving and learning tool in K-12 classrooms
TL;DR: Mangold et al. as mentioned in this paper used the engineering design process as a problem solving and learning tool in K-12 classrooms, focusing on sustainability in design, manufacturing, and the end-of-life phases of the product life cycle.
Book ChapterDOI
Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis
TL;DR: This work focuses on CBR, a knowledge-based algorithm, and MOGA to examine how biological analogs that exist between the authors' evolutionary system and nature can be leveraged to produce new promising MEMS designs.
Journal ArticleDOI
Assessment Framework and Material Flow Analysis of Material Recovery Facilities Within the U.S. to Track Consumer Electronics by Product Category
TL;DR: In this paper, an assessment framework was developed to evaluate and characterize material recovery facilities within the U.S. that process e-waste, which consists of five key categories including, facility overview, operating model and process flows, product flows, collection methods and facility resource use.