Elfar Adalsteinsson received his bachelors degree in Electrical Engineering (EE) from the University of Iceland in 1989, and masters and PhD degrees in EE from Stanford University in 1991 and 1995. In the summer of 1995 he joined the Lucas Center for MRS Imaging at Stanford University, Department of Radiology, as a Research Associate, and in 2000, as a Senior Research Engineer. He joined the MIT faculty and the Research Laboratory of Electronics in 2004 as an Assistant Professor of Electrical Engineering and Computer Science and MIT's Division of Health Sciences and Technology. Professor Adalsteinsson's research area is medical imaging with magnetic resonance, focusing on methods for acquisition, reconstruction and processing of in vivo imaging data. His interests include techniques for efficient sampling and spatial encoding of spectroscopic magnetic resonance data, whereby small signals, originating, for example, specifically from neurons in the brain, yield information not observed with conventional structural imaging. Applications of these and related methods have included a study of the progression of Alzheimer's disease and characterization of Multiple Sclerosis.

Divya is a Harvard-MIT MD/PhD student interested in developing and applying MR techniques to study the human brain. He graduated from The Johns Hopkins University in 2000 with a B.S. in Biomedical Engineering and a B.S. in Electrical Engineering. Thereafter, he spent two years working with the MRI group at University California San Diego, specializing in pulmonary perfusion imaging. In 2007 he completed his M.S. in Electrical Engineering at MIT.

Divya's specific research interests include the following: arterial spin labeling perfusion MRI, functional MRI, neurovascular coupling, cerebral metabolic rate of oxygen, blood-brain barrier permeability, spiral imaging, echo-planar imaging, and pulse sequence programming. Clinically, he is specifically interested in stroke, brain tumor, and neuropathologies that affect cerebral blood flow and oxygen metabolism. Upon completion of his PhD degree, he will return to Harvard Medical School to complete his medical training.

Divya was the course teaching assistant for two recently offered MRI classes:
HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, and 6.556/ HST.580: Data Acquisition and Image Reconstruction in MRI

Padraig Cantillon-Murphy is third-year graduate student at MIT. He graduated from MIT with a S.M. degree in June 2005 and from the National University of Ireland (Cork) with a B.E. in October 2003.

Padraig joined the MRI group in January 2006. His interest is the application of magnetic ferrofluid to enhancing MR image contrast capabilities. The work is still at an exploratory phase. Before joining the group, he worked with Professor David J. Perreault in the Laboratory for Electromagnetic and Electronic Systems at MIT on a number of power electronics applications. These included the application of common-mode active filtering techniques to allow the use of the automobiles rear-window defrosting heater as the vehicle's radio antenna. Investigations of three-dimensional circuit design using a MEMS-based scaffolding approach were also undertaken. When not at the lab (not very often), he enjoys playing music and sport.

Borjan Gagoski received his BS degree with distinct honors from RPI. He is a recipient of the Henry J. Nolte Prize—RPI award given to an undergraduate engineering student for best research project, as well as the Leopold L. Balleisen Prize—RPI award given to the academically strongest student athlete in the class (of 2004). He is also in the First Team of Verizon At-large National Academic All-America.

He came to MIT in the Fall of 2004 and is expected to receive his MS degree in May of 2006. His research interests include developing and implementing Fast Magnetic Resonance Spectroscopic Imaging Algorithms. His current work involves implementing the Spiral MRSI algorithm on Siemens MRI systems. His future work will most likely be in the field of developing Parallel Imaging techniques for MRSI, as well as implementing Fast MRSI algorithm of higher field systems (e.g. 7 Tesla).

Borjan was born in Skopje, Republic of Macedonia, and he loves to play tennis.

Kawin graduated with first class honors in Master of Engineering from Keble college, Oxford University. Here at MIT, he is currently working towards his PhD. His primary research interest is in the investigation of various fast parallel excitation techniques in MRI imaging. More generally, he is interested in signal processing theory, estimation theory, and their applications.

Before coming to MIT, Adam was a systems engineer at Northrop Grumman Corporation (NGC) where he developed signal processing algorithms for synthetic aperture radar systems.

He graduated with university and college honors from Carnegie Mellon University (CMU) in December 2003 with a Master of Science degree in Electrical and Computer Engineering (ECE). He received the E. M. Williams award at graduation (awarded by CMU's ECE department to one senior for scholastic achievement). While a graduate student at Carnegie Mellon, Adam worked with the SPIRAL group researching the optimization of fixed-point, multiplierless discrete signal transforms. His current research interests are in the fields of signal processing and optimization.

Adam has interned one summer at MIT Lincoln Laboratory, one summer at NGC and three summers at the Department of Defense. He is an Eagle Scout, a National Defense Science and Engineering Graduate (NDSEG) Fellow, and a member of Eta Kappa Nu, Tau Beta Pi, IEEE, and SIAM. In April 2004, he was ranked as a Finalist in Eta Kappa Nu's Zerby-Koerner Outstanding Electrical Engineering Student Award program.

Arlene is the administrative assistant for the Magnetic Resonance
Imaging Group. She provides administrative support to Prof. Elfar Adalsteinsson and several graduate students.