n Senior Project - College of Computing & Informatics - Drexel University

Underclassmen

BluNotePrior to the first week of classes senior year there isn’t a lot you have to do for Senior Project, however, a little forethought and preparation can go a long way to starting you on the path to a successful Senior Project.

First and foremost, think about the people whom you wish to work with. I am reminded of the line from Spamalot, “The success of every endeavor depends upon the people that you choose." This is very true in Senior Project. A group's success or failure is often determined by the selection of team members. So while you are in your undergraduate classes seek out and work with other students that you think might make good Senior Project partners. Try to work in their group for Software Engineering type classes. Find out, ahead of time. If they will make good partners.

The only other preparation you should do is think about the type of project / domain of the project that you wish to work on. You can even start it in another class. Projects must have an external stakeholder, a domain expert or end user or your project. Stakeholders can take many forms and we are happy to work with you ahead of time to determine if a project / stakeholder is appropriate.

In the summer before Senior Year, we send an email to all students we think are taking Senior Project in the fall. If you don't get this email by late July, please contact Jeff Salvage at jks29@drexel.edu as our creation of the list is not an exact science. The email will include further instructions as well as point you to a list we build of prospective projects. You can also reach out to us so that we may help you find team members. If you have a project idea, this is the best time to run it by us and vet it for acceptability. In addition, to email, we are going to experiment with a Slack group to aid in the discussion of projects and formation of groups.

We also encourage entrepreneurship, so if you want to (or already have) started a company, we can work with your to incorporate it into Senior Project. It’s all about communication. So if you have questions, please reach out to Jeff Salvage at jks29@drexel.edu.

Here are some project suggestions for the 2018-2019 Senior Project. If you are interested in a project, please email Jeff Salvage at jks29@drexel.edu and he will indicate your interest. If you are looking for a group, you can also email Jeff Salvage with your skill set and he will list your name, skills, and email for others to reach out to you.


Proposed Projects 2018-2019

Project 1
Using Machine Learning and Image Processing to Classify Cell Types in Digital Pathology Slides

Pathologists examine and view tissue slides to identify features within the tissue that imply the presence of disease. There is huge interest in applying ML to digital pathology because ML may automate parts of the diagnostic process. This project will attempt to automate one task: identifying and counting eosinophil cells in slides of nasal tissue. The presence of eosinophils in nasal tissue above a certain level has been correlated with a severe allergic sinus disease, which requires surgery. Currently, a pathologist diagnoses this disease by microscopic examination of nasal tissue slides.

We will be working with the Cooperative Human Tissue Network and the Pathology Department of the University of Pennsylvania. We have already connected with CHTN’s leadership including a world renown pathologist (Dr. Virginia LiVolsi) who specializes in head and neck pathology. The CHTN will provide us with slides, and Dr. LiVolsi has agreed to annotate the slides (identifying the eosinophil cells), thus enabling training and testing of our ML system.”

We need students with skills or interests in ML and Image Processing. We also need students with other skill sets, who may not have ML skills. For example, we need to build an interface allowing the pathologist to mark eosinophil cells on a digital slide.

The project will be a lot of work, (frankly, you will probably work harder on this project than you would work on most other senior design projects,) but the project could make a real difference in the way diseases are diagnosed. We plan to assemble the team by August. If you want to learn more about the project, contact Rob Ross at rr625@drexel.edu.
The team so far is
Robert Ross
Aman Agrawal
Curtis Bechtel
Daniel Perlman
Joseph Urbano
Katie Zhao

Technical Advisors:
Dr. David Breen (CS)
Dr. Mark Zarella (DUCoM)

Project 2
Jelly Hospital. Working with Westphal.

Concept: Umbrella Brawler (Working Tittle)

Falling is inevitable, death is imminent. Fight against your friends in a fast paced action brawler in either local or online multiplayer. Hanging onto an umbrella for dear life, you will blast your way around an open hazard map with various shotungs. Being in the air most of the time, the recoil from your weapon takes a big part in your overall movement. Shoot to move or shoot to kill. Last man falling wins.

CCI Team
Hugo Armella
Joshua Karmel
Eric Lee
Trung-Tin Pham
Jason Pierre-Louis

Stakeholder
Milady Bridges

Contact Eric Lee esl47@drexel.edu for more information.

Project 3
Souvinear

Souvinear is a concert journaling and music sharing application that utilizes concert spaces as a means of discovering new music. The problem that Souvinear wishes to address with our application is the lack of humanity in sharing new music. In a world where algorithms and computer learning run rampant, we’re trying to bring the human element back to sharing music. Our platform allows you to recommend hand-picked music, record what happened the night of a concert, and enhance your planning, preparation, and overall experience of the night – all within one application.

We are currently looking for a back-end team for final project! Team members should be passionate about music and curating enjoyable music experiences. We are a team of six looking for around four members who are well-versed in creating and maintaining a user base and comfortable working with Spotify, Songkick, and Google Maps APIs. Swift programming knowledge would be a plus. Stretch goals for our project include social media features such as threads for concerts with the capability for user comments, as well as user-created sub-groups for further conversation. We'd love to have you be a part of the Souvinear team! Any questions feel free to email me at acs372@drexel.edu.

We are currently looking for a back-end team for final project! Team members should be passionate about music and curating enjoyable music experiences. We are a team of six looking for around four members who are well-versed in creating and maintaining a user base and comfortable working with Spotify, Songkick, and Google Maps APIs. Swift programming knowledge would be a plus. Stretch goals for our project include social media features such as threads for concerts with the capability for user comments, as well as user-created sub-groups for further conversation. We'd love to have you be a part of the Souvinear team! .

Contact: Anisa Sloan, acs372@drexel.edu

Project 4
AI Driven Photo Lens Generation

Camera lenses are hugely in demand, from compact phone lenses to expensive, complex professional photo lenses. Yet, the development of good quality lenses still depends on complex formula and optical engineering. This project aims to evaluate the viability of ai-assisted, fully autonomous generation of complex camera lenses. The goal of this project is to produce a software model for which AI can produce a complex lens, given some spec, without human intervention or pre-programmed knowledge of "good" design practices, or to determine that such is not viable given current technologies.

I am seeking individuals interested in the fields of AI, Optics, and CAD. I have already begun development in my spare time, and hope to have at the very least a basic model for evaluating the "goodness" of a lens design before this upcoming fall term. This project will primarily use c++, interested individuals should be comfortable using it.

Please contact Jack Phoebus at jmp496@drexel.edu

Project 5
Unsecured Domains

A search algorithm that finds unsecured domains/URLs that are unknown to an IT department, runs a vulnerability scanner on them and recommends the domains and their security issues to a company so they can be acquired and fixed. A common use case would be when two companies merge, employees from both companies continue to use domains that they are familiar with but are unknown by the acquired company and because of their lack of IT knowledge they assume any site they visit, IT must already know about. Our project wishes to solve this issue and would like to go further by automatically recommending a course of action from a security perspective to an IT department concerning the unidentified domains.

Current Project Team:

  • Matthew Buthe
  • Zacharia Thottakara
  • Dakota Lash
  • Alexis Schleeter

Project Skills:
Skills we have and consider covered, would welcome additions

  • Data Validation: (SQL or NoSQL & R: Data Intuition, Statistics)
  • Database Architect: (RDBMS; MySQL & NoSQL, PHP & Python)
  • Logistician: (Python, Machine Learning, SQL & NoSQL)
  • Project Manager: (Process Docs; Control Plan, UML, WBS, Risk Mitigation)
  • Reporter: (Presenting Info/ Data Visualization)
  • Server Engineer (Distributed Computing; QoS Experience)
  • Website Developer: (HTML, PHP, CSS)

Needed Skills:
Skills we are looking for in additional members

  • Programmers with experience in: (Python, NoSQL, CSS or Data Analytics Languages like [Prolog, NPL, R, etc.])
  • Cryptographer: (Cryptography / Traffic Analysis; Capsa, Wireshark, etc.)
  • Security Admin: (Blue Team Testing; Web Vulnerabilities, Vulnerability Reduction)
  • Server Engineer: (Cloud Architecture; PaaS or IaaS, Network Security)
  • Contact Matt Buthe, mmb375@drexel.edu if you are interested in the project.

Project 6
iCommons App

To improve the communication between the iCommons and the CCI members, build an application to inform students/faculty about all the services provided by iCommons. Moreover, the application will allow CCI members to use all the iCommons services, reserve a room or equipment, make an appointment and report technical issues. Doing so, the CCI members will save their time and effort, raise awareness about the provided services, and facilitate communication.

Contact David Saks (CS) for more information and to join his team das446@drexel.edu

Project 7
Overcoming MS

Multiple Sclerosis (MS) is a degenerative illness affecting the central nervous system that impacts the lives of over 2.5 million people in the world. Overcoming MS (OMS) is a global nonprofit dedicated to helping these people live better, healthier lives. OMS is raising awareness of its 7-Step Recovery Program, a scientifically-researched and evidence-based diet and lifestyle modification program that has helped thousands of people all over the world live better, healthier, and longer lives. The program is centered on diet, exercise, stress management, vitamin D and Omega 3 intake, and medication, if needed. Our proposed app will be designed to help people adapt to these often challenging lifestyle challenges, and will feature a high degree of interactivity, healthy behavior tracking, motivational rewards, and community support and connections. If you have MS, we want the app to be your regular companion, something that engages you to use it many times per day to stay on the path to healthier living and give yourself the best chance at the healthiest life possible. This app will not only be useful, it will be life-changing.

There is already a digital media team willing to work on this. In addtion, Emily Bendavid (emb387@drexel.edu) (IS) wants to work on this. Individuals or teams please reach out to her if you want to work on this project.

For more information, contact Alex Twerky at alex@overcomingms.org and visit www.overcomingms.org.

Project 8
SIAM Insider

As a professional society that serves the applied mathematics and computational sciences, SIAM is routinely searching its member data for individuals with a track record of dedication and involvement. Over a decade ago, SIAM implemented a web site that provides authenticated access for searching its databases, using a variety of criteria, to facilitate the identification of candidates for key roles in SIAM.

SIAM needs to overhaul this site to meet modern requirements for stronger authentication, an improved data model, and a responsive design that will work across all popular client platforms and browsers.

We are somewhat flexible regarding the technologies used, but have the following requirements and preferences:
Microsoft IIS Web Server
Microsoft SQL Server
C# .Net (strongly preferred) for server-side code

For more information, please contact:Mike Fenton at: Fenton@siam.org

Project 9
Dragoncoin

As the world saw a glimpse of power of Blockchain powered products like Bitcoin and Ether, institutions around the world have started to study various implementations and benefits of using Blockchain. Dragoncoin is an alternative cryptocurrency that will be utilized in the closed environment of Drexel University.

The exact nature of this project is in flux. We need to explore the technological possibilities as well as the true value of bitcoin. Hop on now and help lead Drexel into the future.

Team so far: Adit Gupta, Dhruv Patel, Mayur Patel

Project 10
Crowds

Crowds is the smarter way to explore bars and restaurants. Our vision is to develop a mobile app that shows how crowded bars and restaurants are in real time. The app would also show exclusive deals and specials going on at these places. Eventually, it will allow to make a reservation, order online or even get the food/drink delivered. On the other side, we also want to build a vendor app where the owners can create and manage these deals. We have been working on this project for quite some time now. So far, we have the mock-ups done and we are currently working on the architecture of the app.

Our goal is to develop a vendor and customer app on both platforms (iOS & Android). We would love to get some passionate developers to join our team. Here is who we are looking for :
1 iOS Developer (Experience on at least 1 project recommended)
2 Android Developers (Experience on at least 1 project recommended)
1 Backend or Web Developer (Experience on at least 1 project recommended)

Here is a link to our website if you would like to find out more about us. http://www.thecrowdsapp.com/

Team members: Mayur Patel, Gaurang Bham
Also, feel free to contact me at mbp69@drexel.edu if you are interested or have any questions!

Project 11
Transaction Categorization with eMoney Advisor

We want to have industry leading transaction categorization of our aggregated financial data.

Our categorization engine is 7+ years old and uses a rules engine to determine where to place new transactions in our system. Since this system uses a set of static rules, it sometimes results in wrong categorization of important financial data and never gets smarter. As a result, our users are unable to track spending and manage finances effectively or efficiently, which has led to frustrated End Investors (users) and unhappy Financial Advisors (eMoney client).

We would like you to use Artificial Intelligence, Machine Learning, and other innovative technologies to help us develop the world’s greatest transaction categorization engine and enable eMoney to unlock the full potential of our robust data set to help solve real problems for real people.

For questions please reach out to Jeremy Waxman at jwaxman@emoneyadvisor.com or 848.565.6162

Who is eMoney

eMoney Advisor, LLC (“eMoney”) , based in Radnor, Pennsylvania, is the leading, scalable wealth management technology developed for financial professionals, firms, and enterprises of all sizes. Rooted in collaborative financial planning, eMoney’s technology enables financial professionals to build stronger client relationships, streamline business operations, and drive revenue and growth. Developed and perfected by more than 700 passionate, innovative, and dedicated employees in three locations, eMoney’s solutions transform the wealth management experience for more than 50,000 financial professionals and two million end-clients nationwide.

Project 12
User Onboarding with eMoney Advisor

We want to greatly streamline and reduce a Financial Advisors effort creating a financial plan for an End Investor.

Developing a financial plan has many decisions and takes a Financial Advisor an extremely long time to create even though they are leveraging the eMoney platform. As a result, Financial Advisors are not spending enough time ‘advising’, the area that generates income and creates differentiation.

We would like you to use Artificial Intelligence, Machine Learning and other innovative technologies and develop a way to leverage specific historical information from our Financial Advisor and End Investor and develop an auto-financial planner that can create a financial plan with little to no effort from a financial advisor. Through the use of data analysis, profiling, and understanding an Financial Advisor’s behaviors, auto-generate financial plans used by a Financial Advisor as a starting point with an End Investor.

For questions please reach out to Jeremy Waxman at jwaxman@emoneyadvisor.com or 848.565.6162

Who is eMoney

eMoney Advisor, LLC (“eMoney”) , based in Radnor, Pennsylvania, is the leading, scalable wealth management technology developed for financial professionals, firms, and enterprises of all sizes. Rooted in collaborative financial planning, eMoney’s technology enables financial professionals to build stronger client relationships, streamline business operations, and drive revenue and growth. Developed and perfected by more than 700 passionate, innovative, and dedicated employees in three locations, eMoney’s solutions transform the wealth management experience for more than 50,000 financial professionals and two million end-clients nationwide.

Project 13
Auto-Financial Planner

We want to greatly improve our Financial Advisor (eMoney client) and End Investor (user) enablement on our platform.

Today it takes an extreme amount of time to onboard a new Financial Advisor on the eMoney system, including enabling End Investors within the system. The level of detailed information required along with Regulatory requirements currently restrict our abilities.

We would like you to use innovative technologies to create efficiencies in analyzing and mapping large sets of important financial data to enable new eMoney Clients (Financial Advisors) to sign up and use the eMoney platform more efficiently than ever before.

For questions please reach out to Jeremy Waxman at jwaxman@emoneyadvisor.com or 848.565.6162

Who is eMoney

eMoney Advisor, LLC (“eMoney”) , based in Radnor, Pennsylvania, is the leading, scalable wealth management technology developed for financial professionals, firms, and enterprises of all sizes. Rooted in collaborative financial planning, eMoney’s technology enables financial professionals to build stronger client relationships, streamline business operations, and drive revenue and growth. Developed and perfected by more than 700 passionate, innovative, and dedicated employees in three locations, eMoney’s solutions transform the wealth management experience for more than 50,000 financial professionals and two million end-clients nationwide.

Project 14
Fake News?

The news and media today have strayed far from what they were supposed to be. I want to create an ad free, crowd sourced news website determined to providing factual, accurate and uncensored news, that inspires discussion. This website would allow the readers to vote on each news story based on whether they have valid sources and is written in an unbiased manner. This information will then be processed and used to determine the validity and reliability of the article, the writer and even the sources used. Basically outsourcing the editor position to all of the website’s users to cancel out bias and weed out unreliable sources.

The ad free concept is ensure a pleasant and focused user experience. The website will rely on a model similar to Patreon where readers can choose to directly support the writers that consistently write quality articles. This will be a decentralized, community-owned news alternative not focused on making money, but on combating fake news.

I am looking for a professor to serve as an advisor to the project as well as people interested in improving the way we consume news, regardless of political views. This project will be a website, so people with experience or interest in learning web technologies is preferred.

Contact: Steven Santos - svs54@drexel.edu

Project 15
Out of Hand Entertainment

A game project yet to be defined by in synch with Westphal.

Jeffrey Mostyn (team lead)
Ernest Pambuku
Michael Heffner
William Brown
Thomas Dragna

Project 16
Penn Mutual Blockchain Commission Payment Capability

Penn Mutual is exploring the use of blockchain technology to re-imagine how the financial industry can pay commission to advisers that provide financial product solutions to American consumers. Leveraging smart contract technology within blockchain systems, we believe there is an opportunity to enhance a process that has not changed in decades through codification of our payment contracts allowing payment transactions to execute on the blockchain automatically upon a triggering event such as a client payment. We are looking to provide an ecosystem whereby participants can achieve near real-time payments transparently tracked by the distributed ledger. Participants on the blockchain would be Penn Mutual (potentially other insurance companies in the future) and independent partnerships of financial advisers (organized much like medical practices).

You will have tha ability to engage Penn Mutual leadership from across Actuarial Science, Information Management and Technology, company executives and knowledgeable business teams. Penn Mutual will provide background and information flows along with the contract logic.

We need students with skills or interests in blockchain technology and smart contract coding and applicability in the financial services industry.

For more information please reach out to Greg Driscoll at driscoll.greg@pennmutual.com

Project 17
American Sign Language (ASL) Game

We develop a game/experience for learning American Sign Language (ASL). Unity will handle the event driven display and game stuff. A raspberry pi is wired to a camera breakout and transmits to our server were we run machine learning over your image to produce a judgement of what you are signing. Unity links to the server and gets the response and provides feedback to the user.

Current team includes: Joe Lipinski (CS), Nick Jackson, Matthew Freihofer (CS), Justin Jennings (CE), and Harry Kim (CS).For more information contact Joe at (jsl94@drexel.edu)

Project 18
American Sign Language to Text Live Translator

We are developing a system that will translate American Sign Language to English text. We plan to utilize a machine vision platform like opencv to identify hand and finger gestures. We will then train a machine learning platform to map the gestures to the corresponding English words. We want to incorporate these features into an app (Android and iOS) or website for deaf people to communicate in real time with people who don't know ASL.

We are looking for students with an interest and skills in machine learning, computer vision, or app development.
Current Team:
Evan Radcliffe
Ryan Castor
Anvita Mishra
Nathaniel Schultz

Please reach out to Evan at emr76@drexel.edu for more information or if you’re interested in joining our project.

Project 19
Cluster: Agile Project Workflow for the Architecture, Engineering, Construction (AEC) Industry

Today, the architecture and construction industries are riddled with issues related to the lack of optimization, efficiency and coordination between the various stakeholders involved in any given project. In the attempt to address these issues, an increasing number of construction projects are utilizing collaborative delivery methods like Integrated Project Delivery (IPD), which is based on a multi-party contractual agreement that prioritizes the attainment of defined project goals, maximizing efficiencies in project schedule and budget. Despite the forward-thinking nature of IPD’s contractual agreement, IPD’s workflow is an evolution of a waterfall model, a traditional workflow strategy that follows a rigid and sequential phasing. A radical rethinking of the IPD workflow is necessary for the project delivery method to more efficiently and effectively deliver projects.

Currently used in software development, agile is an iterative design process that breaks tasks down into increments; a workflow that can be translated to the building industry to revolutionize project delivery methods. Our proposal, Cluster, seeks to integrate the innovative agile workflow process with the forward-thinking nature of IPD contractual agreements. Cluster is a cloud-based co-location software that enables IPD workflows to become more manageable, efficient, and well-coordinated by facilitating, tracking, and coordinating decision making on one cloud-based platform from validation through construction administration. The process organizes tasks based on problems and solutions, rather than disciplines, forming teams based on the most effective collaborations. Cluster’s core software operation is founded on a cyclical sprint/scrum agile process that tightens decision-making feedback loops, providing control mechanisms that allow IPD teams to more efficiently deliver projects on budget, on schedule, and successfully attain their Incentive Compensation Layer (ICL) defined by key performance indicators. The hope is to build algorithms that allow Cluster to automate task prioritization and working groups. Eventually, Cluster's algorithm may even be able to recommend design alternatives generated by criteria inputs.

We need students with skills or interests in designing web-applications, UI/UX, agile methodologies, and/or the building industry. If you are interested, please contact Caitlin Baiada (caitlin.baiada@yale.edu) ASAP for more information.

Project 20
Team Name: Myco Games

An all CCI team doing a game project in Unity.

Mycosystem: A game where you play as a field biologist in the post-fungus apocalypse. In this open-world systemic game it is up to you to explore, survive, and foster a healthy ecosystem. Each animal and fungus reacts to the time of day, weather, and each other! As a field biologist you have many tasks. For example, planting fungus in desolate environments, controlling over population by poisoning an environment, and stopping invasive species before they spread.

More information can be found at: https://docs.google.com/document/d/1zmjQXrALUAp-gZPKG_BzTyzeP4sr7-zlmpZqH1GFzJk/edit

Project 21
VinylDNS portal v2

VinylDNS is a vendor agnostic front-end for managing self-service DNS across your DNS systems. The platform provides fine-grained access controls, auditing of all changes, a self-service user interface, secure REST based API, and integration with infrastructure automation tools like Ansible and Terraform.

More information can be found at https://vinyldns.io .

The Vinyl team is looking to overhaul the platform’s web client, which is a front-end for the core vinyldns api. The portal was developed using the Scala Play! Framework along with Angular JS. It hasn’t been maintained as well as the api, and the team is looking to replace it with a new project, built with Scalajs. .

Ideally the portal v2 would be a submodule of the https://github.com/vinyldns/vinyldns project, and reuse Scala models for DNS zones, recordsets, and user groups, something the current portal does not do. The portal v2 should include client-side validations, be well tested, and take into consideration best practices for developing web applications. The portal must also be open source friendly, so care has to be taken into what dependencies it uses..

The portal v2 project would give students the opportunity to contribute to an existing open source project, but be semi-independent as working on a new portal does not interfere with the current development plan..

Current team members are: .

- Nima Eskandary.

For more information contact Nima Eskandary

Project 22
Recommendation System via Anonymous Traits Analysis

A engine to recommend relevant products to users (anonymous or identified) based on their traits and behaviours for Chopp, an on-demand groceries delivery service with its own fleets of agents for logistics operation.

Chopp’s products categories are varied, ranging from typical items offered by supermarkets and groceries stores to subscription packages for various services. With over 20+ thousands products across many different categories from 50+ retailers, it is crucial to present the right products and category to the right audience to optimize for conversion and upsale. With thousands of products and categories, and limited screen space on mobile, it’s important to always show the most relevant products and content, especially for new users where we have no known repeat order history.

Ngoc Nguyen - ntn42
Nhan Nguyen - nhn29
Anh Nguyen - nn335
Phuong Nguyen - phn25
Thy Nguyen - thn46
Duc Le

Project 23
Case-based XAI for digital libraries

XAI (explainable artificial intelligence) is one of the hottest topics in AI today mainly due to the inability of deep learning architectures to explain themselves. This project is to implement the work described in the best paper award winner called “Investigating Textual Case-Based XAI” (Weber et al. 2018). It involves combining the deep learning architecture (the multi-layer neural-network architecture from the Allen Institute for Artificial Intelligence, Citeomatic (https://github.com/allenai/citeomatic ); the analogical functions devised in the paper to classify and select an explanation (https://github.com/Rosinaweber/iccbr2018 ), and an interface for users in connection with an existing digital library (to be designed).

Stakeholders doctoral student Adam J. Johs and Prof. Weber (rw37@drexel.edu).

Project 24
This idea is in the works, for more information contact Prof. Weber (rw37@drexel.edu)
Upon receiving a loan application, characterize applicant’s job title within a flexible ontological structure.

Project 25
This idea is in the works, for more information contact Prof. Weber (rw37@drexel.edu)
From a set of loan applications and their decisions, assess how well the decisions reflect repayment.

Project 26
Systematic Health is a startup working with healthcare networks. They have access to lots of data. They are interested in teaming up with a team of students to create a data warehouse to store data and create visualizations and analyses to compare how different health networks (e.g., Penn Medicine, Drexel Medicine, etc.) manage some diseases. The scope can be one disease only. They have excellent relations with the pharmaceutical and medical instruments industries and would offer great networking opportunities and also can help suggest entrepreneurial ideas in these industries. Stakeholders will be members from Systematic Health (including their founder) and one of our visualization/data analytics professors (TBD). Ask Prof Weber (rw37@drexel.edu) for more details.

Project 27
??? Suggest a project!

If you are interested in a more theoretical-oriented project contact rcg54@drexel.edu (Ross Griebenow) as he is interested in organizing such a project.