Norman M. Wereley is affiliated with the University of Maryland, College Park in the United States. Their research spans multiple areas within engineering, with a particular focus on vibration control, rheological fluids, and applications in robotic systems and structural engineering.
Their recent publications demonstrate involvement in both experimental and theoretical studies. Notable papers include "Novel Bending and Helical Extensile/Contractile Pneumatic Artificial Muscles Inspired by Elephant Trunk" (2020, Soft Robotics), "Integrated Shock Absorber With Both Tunable Inertance and Damping" (2020, Frontiers in Materials), and "Adaptive Magnetorheological Energy Absorber Control Method for Drop-Induced Shock Mitigation" (2020, Journal of Intelligent Material Systems and Structures). Further contributions include "Vibration Isolation Performance of an Adaptive Magnetorheological Elastomer-Based Dynamic Vibration Absorber" (2022, Actuators) and "Characterization and Nonlinear Models of Bending Extensile/Contractile Pneumatic Artificial Muscles" (2020, Smart Materials and Structures).
The primary fields of study for Wereley's work are engineering, with a strong emphasis on civil and structural engineering, biomedical engineering, and mechanical engineering. Their research also covers automotive engineering and orthopedics and sports medicine subfields.
Within these fields, the main topics of their research include:
Frequently, Wereley has collaborated with scholars such as Young Choi, Jungjin Park, Alison B. Flatau, Colleen Murray, and John Howard, indicating a multidisciplinary network focused on advanced materials and smart systems.
Key publication venues for their work include:
Wereley has received professional recognition as a Fellow of SPIE in 2014 and as a Fellow of the American Society of Mechanical Engineers since 2008.
Kunal Kothari;Ramachandran Radhakrishnan;Norman M. Wereley
Norman M Wereley;Li Pang
Norman M. Wereley;Li Pang;Gopalakrishna M. Kamath
Norman M Wereley
Edward A. Bubert;Benjamin K.S. Woods;Keejoo Lee;Curt S. Kothera
N. M. Wereley;A. Chaudhuri;J. H. Yoo;S. John
Gopalakrishna M Kamath;Melanie K Hurt;Norman M Wereley
Quoc-Hung Nguyen;Young-Min Han;Seung-Bok Choi;Norman M Wereley
Gopalakrishna M Kamath;Norman M Wereley
Norman Mark Wereley;Gregory John Hiemenz;Young-Tai Choi;Gang Wang
N.M. Wereley;S.R. Hall
D. Guitton;R. E. Kearney;N. Wereley;B. W. Peterson
Curt S. Kothera;Mamta Jangid;Jayant Sirohi;Norman M. Wereley
Jin-Hyeong Yoo;Norman M. Wereley
Young-Tai Choi;Norman M. Wereley
Gang Wang;Norman M. Wereley
R C Bell;J O Karli;A N Vavreck;D T Zimmerman
Quoc-Hung Nguyen;Seung-Bok Choi;Norman M Wereley
S.R. Hong;N.M. Wereley;Y.T. Choi;S.B. Choi
Gopalakrishna M. Kamath;Norman M. Wereley;Mark R. Jolly
If you think any of the details on this page are incorrect, let us know.
Students pursuing Mechanical and Aerospace Engineering often explore complementary fields to enhance their skill set and career prospects. For instance, interdisciplinary programs like an accelerated bcba program offer insights into behavior analysis, which can be valuable in human factors engineering and ergonomics within aerospace industries.
Understanding the importance of admissions competitiveness is crucial when considering additional specializations. Similar to how you would research speech pathology grad school acceptance rates, it's essential to evaluate the selectivity of engineering and allied programs to make informed decisions about your academic path.
For those interested in expanding their expertise into health-related engineering fields, knowing the easiest audiology programs to get into can serve as a useful benchmark for identifying accessible, quality education options that complement technical engineering knowledge.
Cost considerations also play a pivotal role. Exploring how much an online speech pathology degree cost compare with engineering programs helps future students budget effectively for their advanced education and training.
The University of Texas MD Anderson Cancer Center
University of Tennessee at Knoxville
Tohoku University
Harvard University
University of Copenhagen
Masaryk University
University of Eastern Finland
University of Sydney
University of New South Wales
RWTH Aachen University
French Institute for Research in Computer Science and Automation - INRIA
Technical University of Munich
University of Vienna
University of California, San Francisco
University of Bologna
University of Virginia
