Our Faculty, Staff & Students

Contact Us

Krenicki Professor of Biomedical Engineering and Department Chair

Dr. Ki Chon
Phone: (860) 486-4767
Email: kchon@engr.uconn.edu

Staff

Lisa Ephraim
Undergraduate Academic Advisor
Phone: (860) 486-0163
E-mail: lisae@engr.uconn.edu

Jennifer Seyford
Financial Assistant II
Phone: (860) 486-0116
E-mail: jennifer.seyford@uconn.edu

Birgit Sawstrom
Admin Service Assistant III
Phone: (860) 486-5838
E-mail: birgit.sawstrom@uconn.edu

Sowmya Ramesh
Program Assistant I
Phone: (860) 486-7139
E-mail: sowmya.ramesh@uconn.edu

 

Main Office Address

Biomedical Engineering Department
A.B. Bronwell Building, Room 217
260 Glenbrook Road, Unit 3247
University of Connecticut
Storrs, CT 06269-3247
Phone: (860) 486-5838
Fax: (860) 486-2500

Graduate Fall 2014 Course Schedule

Class details are subject to change. Last updated 7/2/2014

 

Monday Tuesday Wednesday Thursday Friday
BME 5302
Biochemical Engineering for Biomedical Engineers
T,Th 12:30-1:45
Yu Lei
BME 5302
Biochemical Engineering for Biomedical Engineers
T,Th 12:30-1:45
Yu Lei
BME 6086-001
Special Topics in BME: Cell Mechanics & Agent-Based Modeling
T,Th 2-3:15
George Lykotrafitis
BME 6086-001
Special Topics in BME: Cell Mechanics & Agent-Based Modeling
T,Th 2-3:15
George Lykotrafitis
 BME 6086-003
Special Topics in BME:
Sensory Neuroscience Lab
M 2:30-5:30pm
Heather Read
BME 6086-012
Special Topics in BME:
Principles of Optical Imaging & Modern Light Microscopy
Tu 2-4:30pm
Guoan Zheng
BME 6120-001/6086-011
Neuronal Information Processing & Sensory Coding
Th 4:00-7:00pm
M. Escabi
BME 6110 Computational Neuroscience
Day/Time: TBA
UCHC
D. Kim
Instructor Consent Required
BME 6086-002
Special Topics in BME: Advanced Biomaterials
Th 3:30-6:15pm
Syam Nukavarapu

 
BME 5000-001
Physiological Systems I
Tu 6:00-9:00pm
M. Luby
luby_ml@yahoo.com
Open to undergrads w/
Instructor Consent
BME 6086-006
Special Topics in BME: Brain Microcircuits
Th 3:00-5:00pm
D. Oliver
Meets at UCHC
Instructor Consent Required
 BME 6094-001
Special Topics in BME: Graduate Seminar
F 12:00-1:00pm
Q. ZhuVideoconferenced to UCHC CG-079B
 BME 5020-001
Clinical Engineering
Fundamentals
M 4:00-7:00pm
Frank Painter
Instructor Consent Req.
Clinical Interns Only
BME 6450-001
Optical Microscopy
Tu 5-8:00pm
Ji Yu
Meets at UCHC
 BME 6086-004
Special Topics in BME: Introduction to
Dynamical Modeling of Genetic and Biochemical Networks
W 2:30pm-5:00pm
K. Brown
Instructor Consent
Required

kevin.s.brown@uconn.edu
  BME 5210-001
Biomedical Optics: Tissue Optics, Instruments & Imaging
Th 3:30-6:00pm
Quing Zhu
Instructor Consent Req.
BME 6125-001
Digital Image Processing
F 1:25-3:55pm
Bahram Javidi
BME 6086-007
Special Topics in BME:
PK-PD Modeling
and Simulation
M 5:00-8:00pm
Marc Gastonguay
Pre-req: Introduction to PK & PD or instructor consent
 BME 5700-001
Biomaterials and
Tissue Engineering
Tu 3:30-6:15pm
Y. Khan
 BME 6086-005
Special Topics in BME: Computational
Foundations of Systems Biology
W 5pm-7:30pm
Y. Shin yshin@engr.uconn.edu
BME 6500
Biomedical Instrumentation I
F 4:00-7:00pm
N. Defaria
Prereq: BME 5500 or Instructor Consent Required newton.defaria@ni.com

Course Descriptions

Course descriptions are provided here for only those courses with a temporary course number such as BME 6086-XX. Undergraduate and Graduate course descriptions are provided at the BME website under either the BS Degree Program Description or the Graduate Program Handbook.

BME 6086-004  Special Topics in BME: Introduction to Dynamical Modeling of Genetic and Biochemical
Networks
Recent advances in biological measurement technology have opened up a new era in quantitative biology. Part of this revolution is the new eld of systems biology, which consists of viewing processes in biological cells as a whole, rather than considering one gene or protein at a time. Systems biology relies heavily on mathematical models of cellular processes, often derived from the microscopic laws of chemical and enzyme kinetics. In this course we will focus primarily on continuum (dierential equation) models of cellular processes arising from these microscopic laws. Because most of these models wind up being nonlinear, we will spend a lot of time learning techniques to analyze systems of nonlinear ordinary dierential equations, and we will explore the fundamental dierences between linear and nonlinear systems. Biological applications will include modeling observed error rates in protein translation, using system nonlinearities to design biological toggle switches, and exploring biological motifs that lead to oscillations, switches, and other behaviors.

BME 6086-005 Special Topics in BME: Computational Modeling/BioMEMS for Systems Biology
Systems biology is a relatively new field that studies complex interactions within intracellular or intercellular networks using a systems approach. In systems biology, computational modeling plays an important role as it can unravel hidden dynamics that are often hard to recognize intuitively. Considering complex nature of biological systems, biological models should always be validated using relevant experiments, and BioMEMS (Biological or Biomedical MicroElectroMechanical Systems) provides an innovative platform for such experiments. BioMEMS is the science and technology of constructing devices or systems, using methods inspired from micro or nano-scale fabrication, that are used for processing, delivery, manipulation, analysis, or construction of biological and chemical entities. In this course, students will be introduced to BioMEMS with an emphasis on systems biology applications. Integrating BioMEMS with computational modeling for innovative systems biology research is interdisciplinary in nature and requires knowledge and skills for applying molecular biology, chemistry, physics, medicine, engineering, computer science, etc. Through a variety of projects, students will obtain a basic understanding of integrating BioMEMS and computational modeling for systems biology applications. This project-oriented, active learning approach will allow students to work at their own pace, solving problems in exploratory mode to gain better insights, similar to what is done in the context of research.