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3rd Annual ECE & CS Poster Competition


The 3rd Annual ECE & CS Poster Competition held on April 18, 2008 was a great success!! We thank the poster authors since organizing this event would not have been possible without your participation. We hope all of you enjoyed the experience and quoting Dr. Bhatnagar, 'each of you is a winner'. We also hope that this event will only grow in participation and popularity with each year that passes by. The CS and ECE GSAs also extend their appreciation to the efforts put in by the volunteers. You guys did a great job.

Once again, thank you everybody. It is with your help that this event was a grand success.


Event Results:


Prize Winners:

Student Grant Winners ($15 each):

Event pictures:


2008_04_18 ECE & CS Poster Competition (296)

Event Details:


The schedule for the event was:

10:00 AM - 11:00 AM : Participant registration and Poster set-up
11:00 AM - 1:30 PM : Judging of posters ( 2 judges per each poster )
2:00 PM - 2:30 PM : Lunch Break - Pizza Provided @ 3250 REC CENTER
2:30 PM - 3:30 PM : Guest Speaker + Award Ceremony at 3250 REC CENTER

The event went per schedule, the only minor hiccup being a false fire alarm in 4th floor ERC between 11:30AM - 11:45AM which was a forced break for everyone and which also delayed the completion of the judging session. See the event pictures for people waiting outside ERC!

The 6 judges for the event were:

  1. Mr. Tom Hortel, VentureForward, Cincinnati (Guest Speaker)
  2. Dr. Robert Ewing, Air Force Institute of Technology, Dayton
  3. Mr. John Halase, General Electric, Cincinnati
  4. Mr. Raghavendra Raghunathan, Siemens, Cincinnati
  5. Dr. Hal Carter, University of Cincinnati
  6. Dr. Raj Bhatnagar, University of Cincinnati

Guest Speaker: Mr. Tom Hortel, VentureForward, Cincinnati (Guest Speaker)

Mr. Hortel is Vice-President and co-founder of VentureForward , a knowledge solutions firm based in Blue Ash that specializes in Applied Innovation, Knowledge Management and Workflow Systems. Tom is a skilled inventor, innovation trainer and technology consultant with 23 years experience at Procter & Gamble. Tom is well known for his revolutionary "Dream it... Draw it... Build it!" approach to innovation that leverages his broad skills as scientist, artist and craftsman. This unorthodox approach of fusing design, development and technology has earned him 13 US patents, more than 90 patent publications globally and helped launch many successful new products into the market, including the Tide Buzz Ultrasonic Pen.

The Poster Competition organized by the GSA and IEEE is an annual feature on the calendars of ECE and CS students. The competition provides students with a unique opportunity to showcase their work to the academic and industrial community in and around Cincinnati.

This year, the competition will be held on 18th April 2008. Similar to each year, we will have eminent judges from industry and acade.mia for assessing the posters. There are attractive prizes to be won. In addition, this year we will also support a limited number of student grants to ease the poster preparation cost. The grants will be offered to students on a first-come basis.

Instructions for the participants:


The Poster Competition will be held on the 4th floor of ERC (Engineering Research Center) on Friday, April 18, 2008.  Several important pieces of information are listed below.  Please review them carefully and confirm your participation by replying to this email.

Instructions for the event day:

Preparing your posters:

Availing the Student Grant:

Follow these instructions ONLY if you were awarded the student grant (check your abstract acceptance email to confirm if you received the grant). This year, we are awarding 10 student grants to partially fund the poster preparation costs (printing charges). The grants were awarded based on a first-come basis and the decisions were made by the CS & ECE GSA committee members.

Students without the grant award:

Those students who were not awarded the student grant may hold on to their poster printing reciepts. Grants were awarded on a first come basis. However, if a student who was awarded the grant does not meet the requirement of producing proper reciepts, we may consider other students for this grant.

Schedule for 18th April (tentative):
10:00 AM - 11:00 AM : Participant registration and Poster set-up
11:00 AM - 1:30 PM : Judging of posters ( 2 judges per each poster )
1:30 PM - 2:30 PM : Lunch Break
2:30 PM - 3:30 PM : Guest Speaker + Award Ceremony at 427 ERC
Note: If you have any time conflicts let us know ASAP.

1st prize: $100
2nd Prize: $75
3rd Prize: $50
In addition, all participants will receive a participation certificate.
Note: Prize money will be credited to your UC billing account within 3 weeks.

Poster Preparation Guidelines:


Some Best Practices of Poster Design

Remember: The poster, although must convey the gist of your research on its own, is more like a power-point presentation. You will be presenting it to the audience (and the judges). Avoid having a lot of text and a lot of details. You can always mention the details in person.

Useful Links to help you design and prepare your poster:

  1. A great site that provides evaluation sheets for your poster.
  2. An on-line tutorial on designing effective posters:
  3. Guidelines with a Powerpoint template for preparing posters
  4. Using colors effectively in posters:
  5. General Advice:
  6. Lot of Math involved? Prepare posters using LaTeX:
  7. More Power-point templates:

Need more help? Contact: Aravind Ranganathan, Secretary, CS GSA.

Accepted Submissions:


The following submissions have been accepted.

  1. Name: Stefana Popovici
    Title: Issues in proximity evaluation between heterogeneous data
    Processing heterogeneous data has become an important problem in data mining. This problem is encounter in many data processing areas like machine learning, bioinformatics, signal processing. Measuring proximity between such data objects is needed in accomplishing tasks like finding patterns, clustering, classification, etc. Due to the characteristics of heterogeneous data (the data attributes belong to different domains) the task of measuring the similarity between two heterogeneous data objects has proven to be complicated.
    There are plenty of similarity measures that apply to homogenous data, for example Euclidian distance for continuous data, Hausdorff distance for set data, etc. Each of them is applicable for one data type and they were constructed based on particular properties of that corresponding data type. They can not be applied to other kinds of data. The question is which one is suitable for heterogeneous data that contain more than one data type? Can we find one global similarity measure that can be applied to all data types?
    We propose a component-based method in two steps. The first step evaluates proximity along each attribute within its constraints. The second step aggregates the results from the previous step to obtain an overall similarity evaluation between data items.
  2. Name: Angan Das
    Title: "ATLAS: An Adaptively formed Hierarchical Cell Library based Analog Synthesis Framework"
    Abstract:This work presents ATLAS - a framework for automated analog circuit synthesis that comprises of both topology generation and subsequent circuit sizing. A hierarchically arranged building block or cell library is used in this regard. The adaptively formed library starts only with basic elements and gradually includes functionally useful and bigger blocks, pertinent to the design under consideration. The circuit sizer is based on the simulated annealing algorithm, and HSPICE is used for performance evaluation. The tool has been used to synthesize an operational amplifier and a ring oscillator. Results show that with reasonable computational effort, designs and associated cells have evolved that are human understandable and comparable to hand-crafted designs.
  3. Name: Aravind Ranganathan
    Title: Maximizing Lifetime and Load Balancing in a Wireless Sensor Network using Dynamic Network Structures
    Abstract: Wireless sensor networks (WSNs) have become popular owing to their wide range of applications such as battlefield surveillance, micro-surgery, precision agriculture, habitat monitoring, disaster recovery, home and office automation, etc. Uneven load distribution among the WSN nodes results in certain nodes running out of energy much earlier than the others, which may result in partitioning or even shutdown of the entire network. However, uniform load distribution in the WSN is an ideal scenario which is usually not feasible due to topological restrictions. Hence, energy-efficient routing in the WSN is of utmost importance as it directly affects the network lifetime. In our work, we model the WSN as a Dynamic Acyclic Graph (DAG) and using flow theory techniques, propose several network-level, dynamic, distributed, multi-hop routing protocols that maximize the WSN lifetime while attempting to load-balance the nodes simultaneously. Using WSN lifetime and our Topology Constrained Load-Balancing Index as the measures in our simulations, we estimate the performance of our routing protocols and underline their competitiveness compared to other related work.
  4. Name: Yun Shuai
    Title: A High-sensitivity Fluorescence Detection System for Lab-on-a-Chip
    Abstract: A novel, high-sensitivity, inexpensive, and miniature on-chip fluorescence detection system is presented, with diverse potential applications in on-site environmental testing, point-of-care diagnostics, and battlefield analysis. This poster describes the development of this portable system with organic light emitting diode (LED) as a light source, a polydimethylsiloxane (PDMS) microfluidic chip using a cross polarization scheme to filter out excitation light, and a multilayer organic photodiode (OPD) as a detector. Fluorescent dyes Rhodamine 6G and Fluorescein were used with a broadband green OLED source (peak wavelength of 526 nm). The system exhibited detection limits of 0.1nM for Rhodamine 6G and 1nM for Fluorescein, with signal to noise ratio around 6. These results represent a ten-thousand-fold improvement over previously published work.
  5. Name: Nikhil K. Bhandari & Kalyan Garre
    Title: Improved Efficiency of Organic Light Emitting Diodes Using Hole Confining Layer
    Abstract: We report a new mechanism to improve luminance efficiency of green Organic Light Emitting Diodes (OLED) based on tris(8-hydroxyquinoline)aluminum (Alq3) light emitting layer (EML). OLED is a new display technology competing with LCD and Plasma. Highly efficient & bright OLEDs reduce the power consumption and improve the viewing quality under bright sun light. Here we report a new mechanism to improve hole leakage to the cathode. An additional layer of BCP, a hole blocking layer (HBL) has been added to the emitting layer which now performs the function of a hole confinement in addition to hole blocking. Reduced hole leakage using the BCP hole confining layer (HCL) has increased the probability of recombination with electrons and increased the peak luminance by a factor of ~3 for the same operating voltage thereby increasing the luminance efficiency (cd/A) by 3 times. Further increase in the peak luminance of about 64% has been obtained by using multiple layers of HCL/EML.
    We also report the first ever OLED incorporating rare earth monosulfide as cathode. Rare earth monosulfides have a low work function (1-2ev) and high chemical/thermal stability. LaS based OLEDs promise to reduce the operating voltage and therefore should lower the power consumption vis-à-vis conventional LiF based cathodes.
  6. Name: Faris Alqadah
    Title: Mining High Quality 3-clusters in Vertically Partitioned Data
    Abstract: Conventional clustering algorithms group similar points together along one dimension of a data table. Bi-clustering simultaneously clusters both dimensions of a data table. 3-clustering goes one step further and aims to concurrently cluster two data tables that share a common set of row labels, but whose column labels are distinct. Such clusters reveal the underlying connections between the elements of all three sets. We present a novel algorithm, 3Clu, that discovers 3-clusters across vertically partitioned data. Our approach presents two new and important formulations: first we introduce the notion of a 3-cluster in partitioned data; and second we present a mathematical formulation that measures the quality of such clusters. 3Clu discovers high quality, arbitrarily positioned, overlapping 3-clusters by and is efficient in time. These results are exhibited in a comprehensive study on real datasets.
  7. Name: Alla Suresh Kumar
    Title: Noninvasive determination of bilirubin and hemoglobin concentrations from reflectance spectra of skin
    Abstract: Kernicterus is a preventable neurological disorder that can result in complications such as brain damage, cerebral palsy, auditory degradation and vision problems. In sever and high risk cases, it is often necessary to perform this invasive procedure to determine the concentration of bilirubin multiple times daily. In an effort to minimize pain and risks associated with blood draws, a noninvasive device utilizing the principle of diffuse reflectance spectroscopy is proposed to measure bilirubin levels in a neonatal patient. Mathematical model is designed to generate diffuse reflectance spectra of human skin in a jaundiced state. Reflectance spectra are generated for blanched and unblanched conditions. Spectral database is built by varying the parameters of the model and is used as calibration model. Wavelet transformation on each of the spectra is performed and the significant coefficients are retained. A PLS (Partial Least Square) model is established to calculate the calibration vectors which relate the concentrations of bilirubin and hemoglobin present in each spectra to the wavelet coefficients. The calibration vectors are used on the reflectance spectra measured from the device to quantify the bilirubin concentration.The bilirubin concentration is quantified irrespective of melanin concentrations (i.e. skin tone). This system can be used to regularly monitor the concentration of bilirubin in blood and determine the severity of kernicterus and/or the progress of jaundice treatments.
  8. Name: Almitra Pradhan
    Title: Methods for accuate and efficient Analog Circuit Synthesis
    Abstract: Availability of automatic synthesis tools for analog cells is the need of the hour. We are developing a framework for the automated synthesis of analog cells. The tools developed characterize the behavior of analog cells by running a large number of simulations in the circuit design space. Models known as circuit matrix models are constructed which predict the circuit behavior very accurately in the design space.
    We have further developed methods based on hash tables and nearest neighbor search techniques which speed up the analog synthesis process by one order of magnitude. Computations are avoided by the reuse of exact or nearby design points visited during previous synthesis iterations. Sensitivity of the design variables is considered for locating a neighboring solution. Data structures such as R-B trees and BBD trees result in the high efficiency of the developed approach. The tool additionally supports the synthesis of circuits considering the effects layout parasites.
  9. Name: Smita Toshniwal
    Title: Sink Mobility in Multiple Simultaneous Events Based Static Wireless Sensor Network.
    Abstract: Energy constrained nature and unattended deployment motivates the need of special techniques for designing reliable Wireless Sensor Networks. Recently majority approaches are assuming mobile sensor nodes to deal with this problem. But making all the sensors mobile involves more signaling overhead for network maintenance. It is more energy efficient to move the base station which has no power limitations to the source of data. Most of these approaches consider time driven scenario where data is transmitted periodically to the base station. But there are many real life applications in which event based approach is more appropriate. In this poster we propose a scheme with mobile base station that moves adaptively based on the occurrence of events. Multiple events can occur simultaneously in the given area and the base station will move to an optimized location such that its distance from each individual event is minimized. We propose two optimization schemes: minimizing the total distance with respect to all the events and minimizing the maximum distance. By minimizing total distance, the total energy used for transmitting event information is minimized hence increasing the network lifetime. Simulation results show that moving the base station adaptively prolongs the network lifetime significantly.
  10. Name: Vijay Sundaresan
    Title: A New Paradigm for DPA-Resistant Hardware Implementation of Cryptographic Algorithms
    Abstract: The ubiquitous nature of today's technology coupled with the increasing equirement for protection of personal information communicated has given rise to the immmediate need for improved Security in these technologies. Security, in these technologies, is typically provided using hardware implementations of cryptographic algorithms. Although the cryptographic algorithms themselves have been shown to be secure, hardware implementations of cryptographic algorithms have been shown to be weak against several attacks, specifically, Differential Power Analysis Attacks. Security of hardware implementations of cryptographic algorithms has been a subject of intensive research in recent years.
    Till date, Security has been typically considered as a design goal that is orthogonal, and often, conflicting to the hardware implementation goals, namely, Power, Area and Performance. In this poster, we present a new paradigm for design and optimization of DPA-resistant hardware implementation of cryptographic algorithms. The proposed paradigm optimizes Security as well as hardware implementation goals (Power and Area), simultaneously. To achieve this, we introduce the concept of Reuse and Restructuring. The paradigm is formulated as a hierarchical standard-cell-based design methodology. At each stage of the design hierarchy, we propose strategies and insights to achieve Reuse and Restructuring of resources. Further, we show experimentally, how using Reuse and Restructuring, significant improvements in Security, Power and Area were achieved simultaneously. Experiments show that the proposed paradigm is a promising area of research that provides attractive trade-offs between Security, Power, Area and Performance objectives; imparting ability to design more practical DPA-resistant hardware implementations of cryptographic algorithms that are low power, optimal as well as secure.
  11. Name: Monali Deshpande
    Title: Identifying and Applying Patterns in Dimensional Modeling
    Abstract: Data warehouse is a data repository specifically designed for performing analysis. The data is obtained from online transaction system and stored in Dimensional models. Since data warehouse projects are complex, large and difficult to design, it becomes challenging for the software designers to design Dimensional Models. Studies show that there is a lack for detailed guidance in data warehouse design strategies. Several references show the strategies by solving specific data warehousing problems, while some exemplify specific modeling techniques related to business applications.
    My work would be to extend and implement Yeol Song’s work of Design Dimension Patterns (DDP), which focuses on patterns for designing Dimensional Models. The goal of this DDP is to improve the efficiency and effectiveness of design techniques.
  12. Name: Chunsheng Fang
    Title: Comparison between 2D-PCA and PCA applied to pedestrian recognition
    Abstract: Two Dimensional Principal Component Analysis (2D-PCA) is proposed recently in 2D image dimensionality reduction, with better performance comparing to original PCA method. In this paper, the authors evaluate the performance of PCA and 2D-PCA, (row-wise and column-wise) in pedestrian recognition problem. Comprehensive comparison results show that with 2D-PCA, the pedestrian image dimensionalities are better reduced and the reconstruction accuracy is better preserved than PCA, and the training time efficiency is also largely improved.
  13. Name: Demin Wang
    Title: Wireless Sensor Networks for Ambient Air Quality Monitoring
    Abstract: We describe the design and implementation of an environmental air monitoring WSN around UC campus to monitor the ambient air quality. The network is named as UC-AirNet. The current system specifically focuses on ambient carbon monoxide monitoring. Assembled wireless carbon monoxide sensors are tested in an exposure chamber to establish relationship between CO concentration, temperature and humidity conditions prior to deploying them at the sampling sites for routine monitoring. Several fully developed wireless carbon monoxide sensors are deployed on the streets around University of Cincinnati. The real time monitoring data are transmitted back to the gateway node (base station) and appropriately calibrated. The preliminary test data and the network performance are also discussed.
  14. Name: Shubhankar Basu, Pritesh Johari
    Title: N/A
    Abstract: Technology induced voltage scaling coupled with faster switching, have made the circuit behavior very sensitive to the power supply variations. The effect is classified as power and ground bounce problems. Power and ground bounce can inject random glitches which propagate as mal-functioning logic.
    On-chip decoupling capacitors are used to reduce the power supply noise. Traditionally, lumped decaps are placed in the chip-finishing stages at available white spaces. However, insufficient budgeting at an early stage and lack of placement estimation have often positioned the decaps at a distance away from the switching nodes. Experimental results show that proximity of the decaps to the violating switching nodes is more effective in power supply noise cancellation. This work attempts to develop an alternative framework to incorporate the decaps in a design close to the switching nodes, thus making them more effective.
    In this work we propose a two-step approach: First we develop a standard cell library with minimum decap padding added in order to place them closest to the victim nodes. Second we propose an in-place-optimization algorithm to incorporate these standard cells together with minimal value of lumped decaps in the physical synthesis stages. The effectiveness of our work has been demonstrated on standard benchmark circuits.
  15. Name: Sameer Swami, Rucha Dekhne
    Title: Graph Theoretic Matching algorithm for QoS Guaranteed Spectrum Allocation among Cognitive Radio based Secondary User Communications
    Abstract: In Cognitive Radio (CR) communication, the cognition comes into play while selecting a free channel dynamically for unlicensed Secondary User (SU) communication. But the inevitable question that arises is in selecting the best channel from a multiple number of free channels available in the licensed spectrum. This selection is based on the quality of a sub-band which relates to the position of an allocable sub-band with respect to its adjacent users. Hence, five different prioritized channels are modeled in our research for on-demand sub-band selection. Likewise, QoS for different SUs comes into play when the CR wants differential priorities on packets from different users. These priorities are set by a clustering algorithm in order to cluster packets based on throughput, delay, bit error rate, and jitter constraints.
    We model the dynamic channel allocation problem in CR communications by finding a Matching in a bipartite graph. In our research, we implement a different version of the Hungarian algorithm to compute matching between SUs and channels while incorporating the priorities assigned on channels as well as priorities defined on the SUs. We aim to evaluate the performance of the algorithm in a realistic scenario based on packet dropping probability and latency.
  16. Name: Xiang Cai
    Title: A Model Based Automatic Approach for Segmentation of Subcortical Structures in MRI Volumetric Data.
    Abstract: A model based automatic segmentation method for subcortical brain structures on MRI volumetric data is proposed using a set of manually segmented image structures as models. The approach first uses the model voxel centroid to locate the structure location, and the grey matter boundary voxels with adjacent white matter and/or cerebrospinal fluid voxels of both model and incoming image are used to perform the structure model selection and matching operations, and finally the model boundary is used to bridge or fill the boundary between rather blur GM regions to complete our segmentation process and obtain the final segmentation result. A modified DICE calculation criterion is proposed as performance evaluator with the result acceptance threshold set at 0.7. The approach is adaptive in nature where a model clustering procedure can be incorporated to reduce the total number of structure models. An extensive validation process has been performed with positive results on 12 structures, and the method has been applied to the segmentation of the hippocampus, thalamas, caudate nucleus, putamen, globus pallidus, and nucleus accumbens on 2 sets of data. The results show that the method performs very well for the hippocampus, thalamas, and caudate nucleus and can obtain acceptable results for putamen and globus pallidus in a majority of cases. This approach has been applied to the longitudinal study of 8 subcortical structures of 97 control subjects and the results are presented.
  17. Name: Xin Hu
    Title: N/A
    Abstract: An improved 2D adaptive smoothing algorithm for the noise removal and feature preservation is proposed. This improved algorithm is based on the novel idea* of utilizing both contextual discontinuity and local discontinuity jointly to detect non-trivial image features and to control the smoothing speed. The original approach has a major drawback: it is difficult to find a square homogeneous neighborhood in a real image.
    An anisotropic homogeneity region concept together with more precise contextual discontinuity algorithm is suggested to improve this approach. This improved 2D smoothing algorithm is implemented and extensive experiments have been done to show it can provide smoothing result with better edge preservation compared to the original approach and other similar methods. A discussion of performance index of the image smoothing and edge preservation is also provided. The traditional SNR is proved not effective and a new performance index is proposed.
    * Ke Chen, Adaptive Smoothing via Contextual and Local Discontinuities, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 27, Issue 10, 2005.
  18. Name: Ahmad Mostafa
    Title: N/A
    Abstract: Wireless Sensor Network (WSN) is a network of small wireless devices which are capable of sensing, processing, storing, and communicating. One major part of sensor network application is environmental monitoring. The advantage of using wireless sensor network over traditional technique is its dense information obtained by large set of sensors compared a single sensor reading approximating large area. This rich information can provide better understanding of our environment and lead us to react responsively. Another advantage of WSN is that its topology can be dynamically manipulated based on applications.
    We are now in the process of applying the WSN to one of the applications used in music. The application is to change the music being played according to the environmental changes in the surrounding area. These environmental changes could be light, sound, or temperature change. After the environmental change is sensed using the WSN, the information is sent to the base station which then sends it to software which changes the music being played accordingly.
  19. Name: Arun Janarthanan, Daniel Williams
    Title: Design and Architecture Exploration of an FPGA based NoC using a Network Interface Compatible Core Library
    Abstract: Design of a complete high performance on-FPGA communication architecture using Networks-on-Chip (NoC) presents a great challenge. In this work we present the design of a light weight IP-customizable Network Interface (NI) to a novel 2-layer hybrid router architecture for FPGA based NoCs. The two-layer NoC supports simultaneous data transfers between variable numbers of IPs interfaced to the same router. The NI along with the NoC sustains two layers of operation namely the low latency Packet-Switched Layer (P-Layer) and the high throughput Circuit-Switched Layer (C-Layer). In this research, we present the functional operation of the two-layer NI and also characterize a standalone-NI for area, performance and power overheads. Using the above framework, we propose to accurately estimate the Hybrid Network-on-Chip share of a typical application.
    We customize the above NI for a library of IP cores and construct an experimental platform with the real cores, 2-Layer Network-on-Chip and the NI, thereby implementing a complete multi-processor application on FPGAs. Further, we propose to accurately model the power consumed in the 2-layer router architecture when implemented in a typical application. Experimental results are obtained using real custom cores along with synthetic data transfers that represent a typical application scenario. Upon completion, we believe this research would be a starting point for an automatic application and topology synthesis of NoC based multi-processor applications in FPGAs.
  20. Name: Amruta Desai, Sravanthi Mailavaram 
    Title: Intelligent Tools for the Study of Biological Pathways
    Abstract: The main focus of our work is to develop support for virtual experiments in systems biology to help biologists make choices about which wet lab experiments are likely to be the most informative, thereby saving both time and material resources. Understanding biological pathways is important for increasing our understanding of various diseases, such as cancer, and our ability to develop bioengineered drugs to combat these diseases. A secondary goal is to support synthetic biology in general and the multidisciplinary area of bio-circuit development by providing tools which can be employed by biologists and electrical/ computer engineers. Our approach makes use of well-developed techniques from the field of VLSI design. Previously our lab developed a basic procedure, the box algorithm, for simulating a biological pathway and performing virtual experiments on it. Here we discuss a user friendly interface and bio-control database for the box algorithm. This user interface allows both biologists and computer scientists and engineers to work together. The user interface supports automated conversion of biochemical reactions to ordinary differential equations (ODEs), a necessary process in simulating biological pathways. Our conversion algorithms use a new intermediate representation, the Bio-Modeling Development Language (BMDL), which used “weighted gates”. As an enhancement of BMDL weighted gates we introduce new gates which can model inhibitors and activators of biological pathways.
  21. Name: Ravish Sunny
    Title: A novel versatile wireless system for real-time telemetry applications
    Abstract: We present a novel two-way wireless system design, capable of retrieving data dynamically from a large number of sensors, with high accuracy and within a minimal period of time. The primary need of the wireless system is to monitor the sensors deployed in the field at periodic intervals and has the feature of programmability for the sensors with controls at the base station. The uniqueness in the design is a secure communication interface which is established along with the portability. The system uses data transceivers, in the Industrial, Scientific and Medical (ISM) Radio Bands or in the 902–928 MHz (Centre frequency 915 MHz) band, and employs two way communication protocols depending on the required data collection rate and accuracy. The system design presents the system architecture, the interface logic on the sensor and user side to transmit/receive the data and the programmability interface of the sensor data from the user system (handheld system). The base unit (user system) manages the transceivers by issuing configuration, data acquisition, and transmission commands using wireless techniques. For data acquisition a USB interface has been designed at the base station to transfer data from transceiver to Laptop/PDA/PC. We present the motivation to build this versatile wireless system, theory of operation and then a detailed description of hardware design and simulation.
  22. Name: Sachin Gupta, Ravi Chander Alla
    Title: System Design for Environmental pollution.
    Abstract: Environmental pollution is one of the most serious causes for public health problems. Proper monitoring of the environmental conditions is needed to provide a way of controlling them in an effective manner. This calls for in situ environmental monitoring. The requirement being development of such a system - a portable, integrated microelectrode sensor system consisting of a PCB that mounts a microelectrode sensor array and a sensor chip. Our research consists of building the Semi-Custom IC design which taken input from such sensor arrays, converts the data into Digital format and sends the data to the remote user with wireless communication system. The user has complete control on the array remotely even if user is not physically available near the System. The main specifications of the system are its high precision, portability, low power consumption and minimum effects of noise and minimum die area.

Call for abstracts


All graduate students in the EE, CE and CS departments are welcome to submit an entry to the competition. The poster should pertain to your research interests and/or be associated with one of the following topics:

Submit a 200 word abstract in text, word or PDF formats to poster2008@ececs.uc.edu (include the words "ECECS Poster Competition" in the subject line). The abstract should clearly indicate the problem addressed and the proposed solutions. The deadline for submitting abstracts is March 10, 2008. Early submissions have an increased chance of availing the student grants.

Student Grant Eligibility and Rules:

  1. Abstracts must be submitted between 9AM EST on 18 Feb '08 and 11:59PM EST on 10 Mar '08
  2. The submission email should have the following information:
    • Name
    • Department
    • M# (UCID)
    • Contact Info
    • Research Area
    • Student Grant Requested? (Yes / No)
    • Poster Title and Abstract
  3. The number of student grants is limited.  Abstracts will be reviewed and accepted abstracts will be given the grant on a first come basis.  Only one grant will be available per poster.  The poster should be printed after Feb 18, 2008 and original receipts should be available.

Please contact the ECE or CS GSA ( ecegsa@ececs.uc.edu or csgsa@ececs.uc.edu ) for any questions.  


Poster competition participants enjoy the following benefits

Important Dates

Do make the most use of this opportunity and submit your abstracts at the earliest. Abstracts must be 200 words or less and must be emailed to poster2008@ececs.uc.edu