Because of their outstanding excellence in research and scholarship applications by The Bloomberg School of Public Health Department of Biochemistry and Molecular Biology and The Whiting School of Engineering Department of Electrical and Computer Engineering at The Johns Hopkins University were unanimously APPROVED by the ARCS MWC Board, General Membership and ARCS National University Relations Council at the ARCS MWC Annual Spring Meeting on Tuesday, May 22nd, 2018.
The Department of Biochemistry and Molecular Biology (BMB) is proud to trace its roots back to 1917 as one of the founding departments in the Bloomberg School. Then known as the Department of Chemical Hygiene, its first professor and chair, E.V. McCollum, discovered vitamin A, co-discovered vitamin D, and established the importance of trace metals in the diet. These findings led to vitamin D supplementation of milk and fluoridation of drinking water. The department was renamed the Department of Biochemistry in 1932, as biochemists began to study protein and nucleic acid macromolecules as functional, and not simply passive structural elements, of cells. With the emergence of molecular biology as a driving experimental force, the department was renamed the Department of Biochemistry and Molecular Biology in 1999. The mandate of the BMB is to further basic science knowledge that is relevant to public health and to the core mission of our home, the Johns Hopkins Bloomberg School of Public Health (JHSPH). In keeping with the inspiring motto of the school, we seek knowledge at the cellular and molecular level that can "save lives, millions at a time." The Bloomberg School of Public Health is the Nation’s first independent graduate school of public health, and consistently is ranked #1 by U.S. News & World Report for the last consecutive 21 years. The Department of Biochemistry and Molecular Biology faculty conduct research to discover and characterize the fundamental biological processes relevant to health and disease. BMB’s research interests have evolved over the past quarter century to include cellular stress responses, DNA replication and repair pathways (genome integrity), cancer, aging, protein homeostasis, and reproductive biology. Faculty members further expanded areas of expertise to include structural biology, molecular nutrition, stem cells, neurodegenerative and other chronic diseases, and epigenetics. BMB has been supported by a training grant from the National Institutes of Health’s National Cancer Institute since 1975, which was renewed for its 8th consecutive time continuing the tradition of supporting trainees through 2021.
The Whiting School of Engineering at Johns Hopkins University is ranked #19 among the Best Graduate Engineering Schools by 2018 U.S. News and World Report. The Department of Electrical and Computer Engineering (ECE) faculty include members of the National Academies of Engineering and awardees of the National Medal for Technology and Innovation, who conduct cutting edge research, addressing topics such as:
Microsystems & Computer Engineering: device and circuit modeling, VLSI sensors and micropower electronics, physics of information processing, analog and VLSI systems, neural computation, computational sensors, robotics, neuromorphic engineering, parallel computing, fault-tolerant computing, computational and biomorphic systems, brain-machine interface, prosthetics, integrated circuits and microsystems;
Acoustics, Language & Speech Processing: speech recognition, statistical methods of natural language processing, information theory, acoustics and ultra-acoustics science and technology;
Photonics, Biophotonics & Opto-Electronics: quantum electronics, quantum optics, optical communications, solitons, opto-electronics, fiber optics, lasers, optical bi-stability, flexible electronics, photovoltaics, biological imaging science and technology;
Signal Processing, Imaging Science & Technology : statistical signal and image processing, image understanding, computer vision, medical imaging, computational geometry, filter banks, wavelets, computational systems biology and bioinformatics, brain imaging, functional anatomy; and
Networks, Controls & Systems: linear and nonlinear and hybrid systems theory, robust control, adaptive control, state estimation, model complexity reduction, computational systems biology and bioinformatics, coupled oscillators and smart grids.