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Massachusetts
Institute of Technology
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Table of ContentsDepartments Offering Subjects Related to Living Systems Research Interests of Faculty Members and Research Staff |
| BIOELECTRICAL ENGINEERING | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
I. Scope of the AreaRoughly 35 members of faculty and research staff and 50 graduate students are associated with the Bioelectrical Engineering Area of the Department of Electrical Engineering and Computer Science. Although the interests of these people are diverse, the areas in which they work can be categorized into roughly two sub-areas: (1) Engineering with a Living Systems Component—primary focus is on engineering problems which contain a living system component or whose specification requires some knowledge of properties of living systems. Examples include: biomedical electronics and transducers; image and speech processing; computerized tomography; sensory aids for the deaf and blind; automatic speech recognition, speech synthesis. (2) Living Systems—primary focus is on understanding living systems. Examples include: auditory physiology and psychophysics, human speech communication, the transmission and coding of signals in the nervous system; electromechanical properties of biological cells, tissues and membranes; optical properties of tissues; interaction of high-energy particles, laser radiation and ultrasound with living matter; methods for optical biopsy and detection of pathology; ophthalmic imaging; endoscopic optical coherence tomographic imaging. These two sub-areas do not have rigid boundaries and many faculty members and students work on problems which have components in both sub-areas. For example, a student interested primarily in gaining an understanding of the speech production process may in the course of his work develop new procedures for speech synthesis by machine. Similarly, investigators interested primarily in bandwidth compression of pictures in order to increase transmission efficiency may need to understand some properties of the human visual system. |
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| II. Advice on Curriculum Planning
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A. Undergraduate PreparationIt is difficult to specify a list of undergraduate subjects that would provide a suitable background for all students interested in Bioelectrical Engineering—their diversity of interests is large. Undergraduate students interested in Bioelectrical Engineering should, therefore, consult appropriate faculty members for individual guidance. For many students, however, a desirable preparation would consist of the curriculum described under the Bioelectrical Engineering concentration in the MIT Bulletin, Courses and Degree Programs. Many students may wish to include in their program additional subjects related to living systems (see Sec. III). Section II-B lists some of these subjects, organized into three fields of specialization. Students who may consider applying to medical school* at some point in their academic career may need to consider other subjects as well. Students interested in entrance requirements for medical school should consult with the Premedical Advisory Committee in the Pre-professional Advising and Education Office (12-185). A student may also wish to consider subjects offered under the Harvard-MIT Division of Health Sciences and Technology (see below). |
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B. Graduate Preparation1. Fields of Specialization within Bioelectrical EngineeringEvery graduate student in Bioelectrical Engineering is free to plan an individual program of study subject to the advice and consent of his faculty counselor and research advisor. The undergraduate preparation described above is an appropriate common background for many graduate students. In certain fields of specialization, however, it is possible to make some additional recommendations. The subjects listed below are organized into three fields of specialization: Speech and Hearing, Biophysics and Physiology, and Biomedical Electronics and Instrumentation. Subjects marked with asterisks are strongly recommended for all students interested in that field. (Note also that some of the subjects listed might well be included in the programs of MIT undergraduates planning graduate work in Bioelectrical Engineering.) a. Speech and Hearing
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b.
Biophysics and Physiology
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c. Biomedical Electronics and Instrumentation
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The Harvard-MIT Division of Health Sciences and Technology (HST) was established by Harvard University in 1970 to bring engineering, science, technology, and medicine to the solution of problems in biology and human health. HST is the oldest collabvoration between MIT, Harvard University, Harvard Medical School, and Boston area teaching hospitals and research centers. HST offers a number of graduate degree programs; the largest PhD. programs are described below. The Medical Engineering and Medical Physics (MEMP) program provides students with comprehensive training in engineering or physical sciences, complemented by in-depth training in the biomedical sciences and intensive clinical experiences. The MEMP program traditionally has required prior or concurrent admission in a collaborating engineering or science department and completing of that department's pre-doctoral qualification requirements; but has recently institujted provisions for students whose backgrounds are not well al igned with departments at MIT or Harvard. Details are available in the HST catalog, available in the HST Academic Office (E25-518). The Speech and Hearing Bioscience and Technology Program in HST, established in 1992, prepares scientists for research careers in the fields of speech and hearing. Interested students apply directly to this program: concurrent admission by another department is not required. Subjects in human biology are offered under the auspices of HST. These subjects are primarily for students enrolled in Harvard-MIT programs, but they are available to a limited number of graduate students and undergraduates at MIT; they are listed in the MIT catalog under HST. Further information on the Harvard-MIT Division of Health Sciences and Technology is available from the office of the Director of the Division, Room E25-519 at MIT. Bioengineering (BE) was founded in 1998 as a new MIT departmental academic unit, with the mission of defining and establishing a anew discipline fusing molecular life sciences with engineering. The goal of this biological engineering discipline is to advance fndamental understanding of how biological systems operate and to develop effective biology-based technologies for applications across a wide spectrum of societal needs includiong breakthroughs in diagnosis, treatment, and prevention of disease, in design of novel materials, devices, and processes, and in enhancing environmental health. The innovative educational programs created by BE reflect this emphasis on integrating molecular and cellular biosciences with a quantitative, systems-0riented engineering analysis and synthesis approach. In addition to offering the PhD in Biological Engineering, via tracks in either Applied Biosciences or Bioengineering, BE also partners with the departments of Biology and Electrical Engineering and Computer Science to jointly offer a PhD in Computational & Systems Biology. |
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| III. List of Institute Departments Offering Subjects Related
to Living Systems
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| IV. Research
Interests of Faculty Members and Research Staff
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JEROME L. ACKERMAN Director, Biomaterials Laboratory, Martinos Center for Biomedical Imaging, Massachusetts General Hospital; Associate Professor of Radiology, Harvard Medical School (Massachusetts General Hospital, 617-726-3083 JERRY@NMR.MGH.HARVARD.EDU, http://www.nmr.mgh.harvard.edu/~jerry) Biomedical (orthopedics, cardiovascular, interventional) and non-medical (chemistry, physics, materials science, engineering) applications of nuclear magnetic resonance (NMR) imaging (MRI) and spectroscopy (MRS). Solid state MRI and MRS. Studies of atherosclerosis, interventional MR. 1. Polymer distribution in silica aerogels impregnated with siloxanes by 1ˆH NMR imaging 2. Fluid and solid state MRI of biological and non-biological ceramics 3. Phosphate ions in bone: identification of a calcium-organic phosphate complex by 31ˆP solid state NMR spectroscopy at early stages of mineralization 4. Density of organic matrix of native mineralized bone measured by water and fat suppressed proton projection MRI 5. Nuclear magnetic resonance-compatible furnace for high temperature MR imaging and spectroscopy in situ 6. Cylindrical meanderline radio frequency coil for intravascular magnetic resonance studies of atherosclerotic plaque 7. Water and fat suppressed proton projection MRI (WASPI) of rat femur bone 8. MR image guided tumor ablation |
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ELFAR ADALSTEINSSON Assistant Professor, Harvard-MIT Division of Health Sciences and Technology, Department of Electrical Engineering and Computer Science (26-335, 617-324-3597, elfar@mit.edu). Magnetic Resonance Imaging Group. 1. Medical imaging 2. Acquisition and processing of in vivo magnetic resonance imaging data 3. Neuroimaging |
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OCTO BARNETT Professor of Medicine, Harvard Medical School (Massachusetts General Hospital, 617-726-3939, mailto:OBARNETT@HSTBME.MIT.EDU) Application of computer science to patient care, medical education, and clinical decision making. Hospital information systems, ambulatory medical information systems, medical query language, clinical data bases, computer diagnosis and physical consultation, computer-based medical education using clinical simulations, statistical models of clinical decisions. |
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LOUIS D. BRAIDA Professor of Electrical Engineering and Computer Science (36-747, 617-253-2575, BRAIDA@MIT.EDU) Development of improved hearing aids and aids for the deaf. Functional models of the perceptual effects of hearing impairment. Mathematical and computational models of speech intelligibility and audiovisual integration. Development of aids to speechreading based on speech recognition and speech processing. Acoustic properties of speech and their relation to intelligibility in various environments. 1. DSP implementation of a real-time hearing loss simulator based on dynamic expansion 2. Intelligibility of conversational and clear speech in noise and reverberation for listeners with normal and impaired hearing 3. Auditory supplements to speechreading: combining amplitude envelope cues from different spectral regions of speech 4. Automatic speech recognition to aid the hearing impaired: current prospects for the automatic generation of cued speech 5. Consistency among
speech parameter vectors: application to predicting speech intelligibility |
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STEPHEN K. BURNS Technical Director, Biomedical Engineering Center; Lecturer Department of Electrical Engineering and Computer Science (16-336A, 617-253-2577, STEVE@HSTBME.MIT.EDU) Medical electronics and instruments, especially instruments incorporating computers. Networked instruments. Model-based and interactive measurement. Medical Instruments in the developing world. Sports Medicine, Telephony. Physiologic signal acquisition and processing especially in the area of neurophysiology and cardiac electrophysiology. 1. Throught-the-eyelid Tonometer for Glaucoma Screening 2. Visual Field Measurement System 3. An Instrument to Measure Skin Resistance After Electroporation 4. Web-based Medical Instruments 5. USB Implementation Engine |
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CHATHAN M. COOKE Lecturer and Research Associate, E.E.C.S.(Building N-10-201, 617-253-2591, CMCOOKE@MIT.EDU) Hazards of electrical discharges and effects of electric fields on living systems. Dosimetry and effects of ionizing radiation. Development of sources of intense ionizing radiation. High resolution computerized tomography. Compact electron accelerators of the Van de Graaff type. 1. Models for radiation absorption 2. 3 MeV electron source 3. Computerized tomography |
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BERTRAND DELGUTTE Senior Research Scientist, Research Laboratory of Electronics (Mass. Eye and Ear Infirmary, 617-573-3876, BARD@MIT.EDU) Signal processing by the auditory system, with particular emphasis on speech signals. Physiological mechanisms underlying auditory perception. Stimulus coding for cochlear implants. Applications of auditory models to speech analysis and recognition. Central neural mechanisms for sound localization. 1. Coding of speech in the discharge patterns of neurons in the auditory nerve, brainstem and midbrain 2. Modulation transfer functions of auditory neurons and their use in predicting neural responses to speech 3. Neural mechanisms for musical pitch and consonance 4. Neural mechanisms underlying sound localization in reverberant and noisy environments 5. Neurophysiological studies aimed at improving processing strategies for binaural cochlear implants |
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NATHANIEL I. DURLACH Senior Scientist, Electrical Engineering and Computer Science (36-709, 617-253-2534, DURLACH@CBGRLE.MIT.EDU) Sensory communication, with emphasis on audition and taction and on the use of engineering concepts to provide adequate theoretical models. Applications to the hearing impaired, the deaf, and the deaf-blind, and to teleoperator and virtual-environment systems. 1. Auditory psychophysics 2. Tactile psychophysics 3. Speech coding for impaired auditory systems (hearing aids) 4. Speech coding for the tactile system (tactile aids) 5. Signal processing for the reduction of background interference 6. Research on capabilities of the human hand 7. Development of multimodal human-machine interfaces for teleoperator and virtual-environment systems 8. Human spatial perception, cognition, and behavior |
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DONALD K. EDDINGTON Principal Research
Scientist, Research Laboratory of Electronics (
Electrical stimulation of the human auditory system: physiological considerations and models, psychophysical studies of implanted subjects, speech coding for electrical stimulation and implantable hardware. 1. Investigation of current flow in the inner ear during electrical stimulation of intracochlear electrodes 2. Speech recognition in deaf subjects with multichannel, intracochlear electrodes 3. Fundamental considerations in designing auditory implants |
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DENNIS M. FREEMAN Professor of Electrical Engineering (36-889, 617-253-8795, FREEMAN@MIT.EDU) Cochlear mechanics. Micro-Electro-Mechanical Systems (MEMS). Laser Interferometric Optics. Microfluidics. 1. Measurements and models of sound-induced motions of inner-ear structures 2. Measurements and models of material properties of the tectorial membrane 3. Optical methods to measure nanometer motions of micrometer-sized structures 4. Applications of micro-electro-mechanical systems to the study of cochlear micromechanics |
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LAWRENCE S. FRISHKOPF Professor of Electrical and Bioengineering emeritus and Senior Lecturer in EECS (36-597, 617-253-5869, LSF@MIT.EDU) Transduction mechanisms of receptor cells (hair cells) of vestibular and auditory organs. Mechanisms of frequency analysis in the cochlea. Micromechanics of hair cell stereocilia. 1. Mechanical tuning of free-standing stereociliary bundles and frequency analysis in the alligator lizard cochlea 2. Cupula motion in the semicircular canal of the skate, Raja erinacea 3. Element composition of inner ear lymphs in cats, lizards, and skates determined by electron probe microanalysis of liquid samples 4. Receptor potentials from hair cells of the lateral line |
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JAMES G. FUJIMOTO Professor of Electrical Engineering and Computer Science (36-345, 617-253-8528, jgfuji@mit.edu) Biomedical optics, novel optical biomedical imaging and diagnostic techniques. Development and applications of Optical coherence tomography (OCT). OCT is an optical technique for cross sectional imaging of tissue microstructure on the micron scale which can perform micron scale imaging of tissue in situ. Development of new optical technologies for OCT including real time imaging, subcellular scale imaging, catheter/endoscopic delivery systems. Techniques for optical biopsy. Studies of laser tissue interaction and laser surgery. Collaborative research with investigators at the Harvard Medical School, Massachusetts General Hospital, the Brigham and Womens Hospital, the New England Eye Center, Tufts University School of Medicine. 1. Optical Coherence Tomography technology for high speed and high resolution imaging. 2. Development of catheter and endoscopic diagnostic techniques 3. Intravascular imaging for atherosclerotic plaque 4. Cancer diagnosis and screening using optical coherence tomography 5. Image guided laser microsurgery 6. Image processing, reconstruction, and intelligent algorithms 7. Ophthalmic applications of optical coherence tomography 8. Retinal disease diagnosis
using novel optical imaging techniques algorithms |
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JAMES R. GLASS Principal Research Scientist, Laboratory for Computer Science (32-G444, 617-253-1640, GLASS@MIT.EDU) Automatic speech recognition (ASR), speech synthesis, and spoken language understanding. Areas of interest include signal representation, pattern classification, acoustic-phonetic analysis and modelling, lexical representation/access, search, language modelling and generation. 1. Real-time, telephone-based ASR for conversational interfaces 2. Corpus-based, concatenative speech synthesis 3. Facilitating spoken-dialogue system development 4. Out-of-vocabulary word modeling for robust ASR 5. Modeling non-native speech for ASR 6. Acoustic modeling improvements for segment-based ASR |
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MARTHA L. GRAY Edward Hood Taplin Professor of Medical Engineering and Electrical Engineering (E25-519, 617-258-8974, MGRAY@MIT.EDU) Cartilage
repair and remodeling. Role of
mechanical factors in cartilage physiology; development of “functional” imaging of cartilage. 1. Molecular imaging of cartilage. 2. Composition and transport properties of connective tissues in vivo and in vitro, and how these properties are affected by disease. 3. Understanding thge process of cartilage repair and evaluating related treatment strategies. 4. Microscale devices
for biomedical applications. |
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ALAN J. GRODZINSKY Professor of Electrical, Mechanical and Bioengineering; EECS, MechE, BEH, MIT; Director, Center for Biomedical Engineering, MIT (alg@mit.edu), http://web.mit.edu/be/people/grodzin.htm; http://meche.mit.edu/people/faculty/index.html?id=34; http://web.mit.edu/cbe/www/ Degeneration and repair of cartilage in injured and arthritic joints, cellular mechanotransduction, molecular nano-mechanics, cartilage tissue engineering, the influence of physical forces on gene expression and matrix biosynthesis in cartilage and other musculoskeletal connective tissues, nondestructive spectroscopic detection of early cartilage degeneration and electrically controlled gels for separations, drug delivery, sensors and actuators, transduction and transport in natural and synthetic membranes. 1. Cartilage metabolism in health and disease: role of mechanical, electrical, and chemical regulation of gene expression, matrix sythesis, and cellular apoptosis 2. Cartilage Tissue Engineering: Synthesis of a cartilage-like tissue substitute by chondrocytes embedded in self-assembling peptide hydrogel scaffolds. 3. Molecular and Cellular Mechanics: Use of atomic force microscopy to quantify molecular interaction forces between extracellular matrix macromolecules; nanoindentation of chondrocytes and their pericellular matrices. Experiments and theoretical models (collaboration with Prof. C. Ortiz) 4. Cartilage mechanical injury: synergistic effects of overload injury and catabolic cytokines on stimulation of cartilage degeneration 5. Mechanical loading and peptide growth factors: anabolic stimluation of cartilage growth and repair 6. Role of proteinases, proteinase inhibitors, and mechanical loading in osteroarthritic cartilage degeneration 7. Non-destructive surface detection and imaging of osteoarthritic degeneration of cartilage via electromechanical spectroscopy 8. Electrochemical, electromechanical and osmotic forces and flows: enhanced transport of proteins and nutrients in charged tissues and membranes |
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JOHN
J. GUINAN, JR. Research Scientist (
Physiology of the cochlea, especially the mechanisms by which outer hair cells influence the mechanical response of the cochlea (including the generation of otoacoustic emissions) and thereby control the signal transduction in the cochlea. Feedback control of the peripheral auditory system, especially by the oliviocochlear efferents reflexes. 1. Organization of the efferent
fibers: The lateral and medial
oliviocochlear systems
2. Physiology of the oliviochlear efferents. 3. Effect of efferent neural activity on cochlear mechanics 4. Effects of electrical stimulation of medial olivocochlear neurons on ipsilateral and contralateral cochlear responses. 5. Reflection and distortion
emissions arise by fundamentally different mechanisms: A taxonomy for otoacoustic emissions. |
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JOHN GUTTAG, Professor of Electrical Engineering and Computer Science (326-966, guttag@mit.edu) Physiological monitoring, medical signal processing and decision systems. Collaborative research with investigators at Massachusetts General Hospital, Boston Children's Hospital, the Brigham and Women's Hospital and the Beth Israel Deaconess Medical Center. 1. Monitoring health status outside medical environments 2. Computer-assisted cardiac screening 3. Early detection of epileptic seizures 4. Scalable and portable medical alert and response technology |
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JONGYOON HAN, Associate Professor of Electrical Engineering and Computer Science and Division of Biological Engineering, Research Laboratory of Electronics (36-841, 617-253-2290, JYHAN@MIT.EDU) Application of micro/nanofabrication technology to biological problems. Micro/Nanofluidics, biomolecule analysis and separation. Nanostructure-biomolecule interaction. 1. Development of novel nanofluidic molecular sieve 2. Microfluidic multi-dimensional biomolecule separation devices 3. Biomolecule detection and identification |
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JAE S. LIM Professor of Electrical Engineering and Computer Science (36-653, 617-253-8143, mailto:JSLIM@MIT.EDU) Digital Image Processing 1. Theories of Digital Signal Processing 2. Advanced television systems 3. Image/video restoration, enhancement, and coding 4. Speech enhancement,
analysis/synthesis system development |
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ROGER G. MARK Professor of HST and Electrical Engineering (E25-505, 617-253-7818, RGMARK@MIT.EDU) Physiological
signal processing and computational modelling with application
to clinical problems. 1. Intelligent patient monitoring systems 2. Multiparameter ICU databases; collection, deidentification and annotation 3. Physiological signal processing 4. Cardiovascular system modeling |
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RONALD S.
NEWBOWER (
Technology development, transfer and application in healthcare. 1. Utilization of technology in re-engineering health-care delivery |
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WILLIAM T. PEAKE Professor of Electrical and Bioengineering (Office: Mass. Eye and Ear, Eaton Peabody Lab; 617 573-3376, peake@meei.harvard.edu) Signal transmission in the normal and pathological auditory system: emphasis on acoustical, mechanical, and electrophysiological processes of the ear and on interspecies comparisons. 1. Analysis of middle-ear mechanics and application to diseased and reconstructed ears 2. The middle ear of a lion: Comparison of structure and function to domestic cat 3. Acoustic mechanisms that determine the ear-canal sound pressures generated by earphones. 4. Relating middle-ear acoustic performance to body size in the cat family: measurements and models. 5. A noninvasive method for estimating acoustic admittance at the tympanic membrane. 6. Tests of some common assumptions of ear-canal acoustics in cats. 7. How do tympanic-membrane perforations affect human middle-ear sound transmission? 8. Acoustic responses of the human middle-ear. |
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JOSEPH S. PERKELL Senior Research Scientist, Research Laboratory of Electronics (36-591, 617-253-3223, PERKELL@SPEECH.MIT.EDU) Physiology of speech production. Control of movement of the speech production mechanism. Bases of phonetic categories (linguistic features) and the relationship of underlying linguistic structure to movement control strategies. Physiological and biomechanical properties of the speech production mechanism and their influence on movement control. The influence of hearing on speech motor control. 1. Physiological studies of normal and disordered speech production (measurements of movement, EMG, air pressure, acoustics, etc.) 2. Modeling of aspects of the speech production process—biomechanics and control 3. Projects on the speech
of cochlear implant patients and mechanisms of voice disorders |
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GEORGE W. PRATT Professor of Electrical Engineering and Computer Science emeritus(13-3057, 617-253-4636, GWPRATT@MIT.EDU) Experimental and theoretical solid state and molecular physics. Quantum electronics, lasers, interaction of lasers with crystalline and molecular systems. 1. Ultrasonic determination of bone strength—a non-invasive diagnostic technique 2. Measurement and analysis of muscular and joint forces associated with locomotion 3. Interaction of infrared lasers with vibrational states of biomaterials 4. Electromagnetic control of blood flow |
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CHARLOTTE M. REED Principal Research Scientist, Research Laboratory of Electronics (36-751, 617-253-8502, cmreed@mit.edu) Tactile communication of speech. Auditory perception in normal and impaired listeners. Processing of speech by listeners with impaired hearing. 1. Basic study of tactual sensory perception in humans 2. Development of schemes for encoding and displaying speech and environmental sounds through the tactual sense 3. Study of improved tactual supplements to speechreading 4. Functional models of hearing impairment 5. Speech perception in listeners with hearing impairment 6. Signal processing for hearing aids |
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JOHN J. ROSOWSKI Associate Professor of Otology and Laryngology,
Acoustics and mechanics of external and middle ears. Comparative physiology of the auditory periphery. Evolution of the ear. Effects of pathology and surgical reconstruction on the function of the external and middle ear. 1. Measurements of middle-ear function in the Mongolian gerbil, a specialized mammalian ear. 2. Mammalian ear specializations in arid habitats: Structural and functional evidence from sand cat (Felis margarita) 3. Acoustic mechanisms that determine the ear-canal sound pressures generated by earphones 4. Diagnostic utility of laser-Doppler vibrometry in conductive hearing loss with normal tympanic membranes. 5. A normative study of tympanic-membrane motion in humans using a laser-Doppler vibrometer. 6. Experimental ossicular fixations and the middle-ear's response to sound: Evidence for a flexible ossicular chain. 7. Determinants of hearing loss in perforations of the tympanic membrane. |
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RAHUL SARPESHKAR Associate Professor of Electrical Engineering and Computer Science, Research Laboratory of Electronics (38-294, 617-258-6599, rahuls@mit.edu) Bioelectronics 1. Biomedical Electronics: Bionic systems for the deaf, blind, and paralyzed and other bio-signal sensing systems from the molecular to body scale 2. Bio-inspired Electronics: Inspiration from biology to research revolutionary architectures for RF (radio frequency), sensory, or computing systems 3. Circuit Modeling of Biology: Electrical analogs of biological systems to shed insight into how they work
further details at http://www.rle.mit.edu/avbs/ |
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STEPHANIE SENEFF Principal Research Scientist, Laboratory for Computer Science (32G-438, 617- 253-0451), mailto:SENEFF@CSAI.MIT.EDU) http://people.csail.mit.edu/seneff Computer speech recognition. Natural language processing. Morphology and phonology. Discourse and dialogue modelling. Conversational systems. 1. Response planning and Generation in the Mercury flight reservation 2. TINA: A natural language system for spoken language applications 3. Statistical Modeling of Phonological Rules through Linguistic Hierarchies 4. ANGIE: A new framework for speech analysis based on morpho-phonological modelling 5. Gene Structure Prediction Using an Orthologous Gene of Known Exon-Intron Structure |
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MANDAYAM A. SRINIVASAN Principal Research Scientist in Research Laboratory of Electronics and Department of Mechanical Engineering (36-796, 617-253-2512, SRINIVASAN@CBGRLE.MIT.EDU) All aspects of human hands and their interactions with objects, including mechanics, sensorimotor functions, and cognition. Experimental and theoretical approaches in a multidisciplinary setting—biomechanics, neurophysiology, psychophysics, and computational theory of haptics. Applications include rehabilitation, robotics, and human-machine interfaces for virtual environments and teleoperation. 1. Biomechanics of skin-object contact 2. Geometric and material properties of primate fingers 3. Mechanistic modeling of primate fingers 4. Tactile and kinesthetic sensing of contact conditions and physical properties of objects 5. Signal transduction, processing and control in the haptic system during manual exploration and manipulation 6. Design and fabrication of high precision electro-mechanical devices such as instrumented tools, active objects, tactile stimulators and human-machine interfaces |
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KENNETH N. STEVENS Professor of Electrical Engineering and Computer Science (36-517, 617-253-3209, STEVENS@SPEECH.MIT.EDU) Speech production and recognition in humans. Investigation of relation between speech sounds and physiological states of the speech source. Investigation of relation between perceptual categories and speech sounds. Machine generation of speech. Speaker recognition and speech recognition. Studies of speech disorders, including methods for diagnosis and remediation. Acoustical methods for the study of respiration. 1. The quantal nature of speech: evidence from articulatory-acoustic data 2. Development of speech in children 3. Models for the production and perception of speech 4. Phonetic features and lexical access 5. The search for invariant acoustic correlates of phonetic features 6. Synthesis of speech from text 7. Acoustic analysis and assessment of disordered speech |
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COLLIN M. STULTZ Assistant Professor of Electrical Engineering and Computer Science and Assistant Professor of Health Sciences and Technology; http://www.rle.mit.edu/cbg/(36-796, 617-253-4961, CMSTULTZ@MIT.EDU) Research in the computational biophysics laboratory is focused on understanding conformational changes in biomolecules that play an important role in common human diseases. Our lab uses an interdisciplinary approach combining computational modeling with biochemical experiments to make connections between conformational changes in macromolecules and disease progression. By employing two types of modeling, molecular dynamics and probabilistic modeling, hypotheses can be developed and then tested experimentally. |
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PETER SZOLOVITS, Professor of Electrical Engineering and Computer Science, Professor of Health Sciences and Technology (32-254, 617-253-3476, PSZ@MIT.EDU) Artificial Intelligence methods of medical decision making, knowledge representation, medical language understanding, clinical decision support systems, lifelong medical records, integration of clinical and research data for learning new medicine.
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BRUCE TIDOR, Professor of Biological Engineering and Computer Science; EECS, BE, CSAIL, CSBi; (32-212, 617-253-7258, TIDOR@MIT.EDU, http://mit.edu/tidor/) Computational modeling of biological systems; computer-aided drug and protein design; biological network modeling, analysis, and design; computer algorithms and numerical techniques for solving biological problems; optimization and design strategies; biological signal transduction; systems biology. |
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JOEL VOLDMAN, NBX Assistant Professor of Electrical Engineering and Computer Science ( | |||||||||||||||||||||||||||||||||||||||||||||||||||||||