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Are Humans Special? Understanding Primate Social Reward Systems
A poster examining social attachment in primates
Computer Assisted Detection of Liver Neoplasms and its 3D Volumetric Measurement
Imaging is currently performed in oncologic patients for staging. Images are evaluated by radiologist and lesions with the liver are detected manually. Currently there is no software available which is able to detect and measure tumor volumes automatically. We are developing a software that may be able to detect tumor and give volumetric measurements automatically. Using this software a radiologist may be able to compare computer generated volumetric data in serial imaging of the patients over time, which may help in assessing progression or regression of disease and help in treatment planning
From Microelectronics to Nanoelectronics: Introducing Nanotechnology to VLSI Curricula
© 2011 by ASEEIn the past decades, VLSI industries constantly shrank the size of transistors, so that
more and more transistors can be built into the same chip area to make VLSI more
and more powerful in its functions. As the typical feature size of CMOS VLSI is
shrunk into deep submicron domain, nanotechnology is the next step in order to
maintain Moore’s law for several more decades. Nanotechnology not only further
improves the resolution in traditional photolithography process, but also introduces
many brand-new fabrication strategies, such as bottom-up molecular self-assembly.
Nanotechnology is also enabling many novel devices and circuit architectures which
are totally different from current microelectronics circuits, such as quantum
computing, nanowire crossbar circuits, spin electronics, etc. Nanotechnology is
bringing another technology revolution to traditional CMOS VLSI technology. In
order to train students to meet the quickly-increasing industry demand for nextgeneration
nanoelectronics engineers, we are making efforts to introduce
nanotechnology into our VLSI curricula. We have developed a series of VLSI
curricula which include CPE/EE 448D - Introduction to VLSI, EE 548 - Low Power
VLSI Circuit Design, EE 458 - Analog VLSI Circuit Design, EE 549 - VLSI Testing,
etc. Furthermore, we developed a series of micro and nanotechnology related courses,
such as EE 451 - Nanotechnology, EE 448 - Microelectronic Fabrication, EE 446 –
MEMS (Microelectromechanical Systems). We introduce nanotechnology into our
VLSI curricula, and teach the students about various devices, fabrication processes,
circuit architectures, design and simulation skills for future nanotechnology-based
nanoelectronic circuits. Some examples are nanowire crossbar circuit architecture,
carbon-nanotube based nanotransistor, single-electron transistor, spintronics, quantum
computing, bioelectronic circuits, etc. Students show intense interest in these exciting
topics. Some students also choose nanoelectronics as the topic for their master
project/thesis, and perform successful research in the field. The program has attracted
many graduate students into the field of nanoelectronics
Minimizing Common Mode Interferences in the Measurement of Bio-Signals
Bio-signals are signals that can be measured from a living being. Electrical bio-signals are the result of depolarization and repolarization of the cells in a specialized tissue, organ or cell system. Accurate reading and analysis of signals such as electrocardiogram (ECG or EKG), electroencephalogram (EEG), electromyogram (EMG) etc. is very important as they are used clinically in diagnosing diseases. Hum interference is caused by magnetic and electric fields from power lines and transformers cutting across the measuring electrodes and patients. This type of noise seems to be ever-present, although the modern noise reduction techniques are successful in minimizing this in signal recordings. We discuss a method to minimize such interference using a pre-amplifier design with a very high common mode rejection ratio of 131 dB at 60 Hz and high input impedance. A comparison of the design with the commercially available Instrumentation Amplifier is also done. We verify our results using computer simulation of an ECG signal via the software Multisim
MEMS Gyroscope Research Based on UB Seed Grant
In this poster, the research on a novel MEMS gyroscope device based on UB faculty seed grant support is introduced. MEMS (Micro-electro-mechanical Systems) vibratory gyroscopes have attracted tremendous interest among researchers due to their small size, low energy consumption, low cost and long life-time. In my research, I conceived a novel bulk-micromachined electrostatic comb-driven, differential capacitance sensing MEMS vibratory gyroscope based on glass-silicon-glass sandwich-structure. The novel structure eliminates the parasitic capacitances of the gyroscope, which greatly eases the signal sensing. Furthermore, due to the device structure design, the sensing vibration is not coupled to the driving vibration, which improves the device stability. The MEMS gyroscope research is funded by UB seed grant. Based on the research, we published 1 journal paper and 1 conference paper. The research also resulted in the submission of 4 grant proposals, leading to a total funding of $60,016.77
The Roles of Tabulated Factors, Financial Calculators, and Spreadsheets in Engineering Economy Teaching.
For decades engineering economists have discussed the balance between using tabulated engineering economy factors and spreadsheets for the first course in engineering economy. However, the potential role of financially capable calculators has been ignored. Many engineering economy faculty personally use a financial calculator for time value of money (TVM) calculations, but judging from engineering economy texts and past discussions at conferences there is little or no use of such calculators by students. Such calculators allow us the opportunity to phase out the tables and reduce the fraction of our courses that is spent on financial arithmetic. Students should be able to use tables, calculators, and spreadsheets, but our courses and their preparation for professional practice can be improved by minimizing the amount of time spent using tabulated factors.http://search.ebscohost.com.libproxy.bridgeport.edu/login.aspx?direct=true&db=aph&AN=67458533&site=eds-liv