To join this year’s CS Scholars events, register here:
https://vccs.zoom.us/meeting/register/tZAkc-mpqjspHdTFlL0fYLAIaWqs7hxp42Eo
All events are held online from 6:30pm to 8pm.
Date (Mon) | Lecturer | Topic |
---|---|---|
February 6 | Shayn Peirce-Cottler, Ph.D. | Using Computer Modeling and Machine Learning to Engineer Biological Tissues Video |
February 20 | No Lecture this date. | |
March 6 | John Wenskovitch, Ph.D. | Lagrange Points and the James Webb Space Telescope Video |
March 20 | Dr. Michael Messina | Scientific Programming in Excel and the Real-Time Interactive Visualization of Chemistry (or “Excel Might Surprise You”) |
April 3 | Gretchen L. Matthews Professor, Department of Mathematics Director, Commonwealth Cyber Initiative (CCI) Southwest Virginia | Defending against hackers of the quantum future |
April 24 | Rob Garbee, CISSP | To be determined. |
Shayn Peirce-Cottler, Ph.D.
Abstract:
The most prevalent, devastating, and complex diseases of our time, such as diabetes, cardiovascular disease, and cancer, involve the interactions of heterogeneous cells with one another and with their dynamic environment. However, the drugs that we use to treat diseases typically target a single protein and disregard the fact that cells within tissues have individualized responses to networks of interacting proteins. And, it is the collection of these cellular responses that underpins changes in tissue structure and function. To bridge the gap between proteins and tissues, my lab develops agent-based computational models and uses them in combination with experiments and machine learning approaches to predict how individual cell behaviors give rise to structural and functional changes in tissues. We have developed models to simulate blood vessel growth, skeletal muscle regeneration, and lung tissue fibrosis. Our research has identified new approaches for controling the dynamic and heterogeneous interactions between different cell types in order to regenerate tissues and slow disease progression.
Biography:
Shayn Peirce-Cottler, Ph.D. is Harrison Distinguished Teaching Professor of Biomedical Engineering with secondary appointments in the Department of Ophthalmology and Department of Plastic Surgery at the University of Virginia (UVA). Dr. Peirce-Cottler received Bachelor’s of Science degrees in Biomedical Engineering and Engineering Mechanics from The Johns Hopkins University in 1997. She earned her Ph.D. in the Department of Biomedical Engineering at the University of Virginia in 2002. Dr. Peirce-Cottler develops computational models in conjunction with experiments to study structural and functional adaptations of tissues in order to develop therapies for inducing regeneration in injured tissues and restoring homeostasis to diseased tissues. Her lab combines multiscale computational modeling with in vivo imaging of murine experimental models to examine and control the multi-cell interactions that underpin inflammation, angiogenesis, and fibrosis. Dr. Peirce-Cottler has published over 125 peer reviewed papers and book chapters, and she is an inventor on two U.S. Patents. She is a fellow in both the American Institute for Medical and Biological Engineering College of Fellows (AIMBE) and in the Biomedical Engineering Society (BMES).
Dr. John Wenskovitch
Abstract:
The James Webb Space Telescope is currently parked in solar orbit roughly 1.5 million kilometers away from Earth. But why it is so far away, when other space telescopes like Hubble have been placed in Earth orbit for convenient (and needed!) repairs? This presentation provides an overview of Lagrange Points, a collection of gravitational balancing points that accompany pairs of massive objects in the solar system. We’ll look at the history of these points from the time when they were just mathematical curiosities up until the present when they have significance to modern astronomy. Likewise, we’ll explore what other secrets of the solar system can be found at these locations.
Biography:
Dr. John Wenskovitch is a Visual Analytics Research Scientist at Pacific Northwest National Laboratory and an Adjunct Professor of Computer Science at Virginia Tech. He also received his Ph.D. from Virginia Tech in 2019. His current research focuses on Human-AI co-learning and teaming, trust in machine assistance, human-in-the-loop data science, analytical provenance, and the application of data visualization to the sciences. He teaches courses on information visualization, data analytics, computer graphics, and human-computer interaction. He is a member of the Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers (IEEE), and the American Astronomical Society (AAS).
Michael Messina
Professor of Chemistry and Biochemistry. University of North Carolina Wilmington
Abstract
The Excel Spreadsheet has been used as the “beast of burden” for decades in chemistry laboratories; to plot data, fit “trend-lines, do regression analysis and other types of tasks related to the collection and analysis of chemical data. But, if you can code, Excel can do so much more. We describe how the “developer” capability in Excel allows for high-level scientific computing, which can be naturally coupled to the visualization capabilities in Excel allowing for real-time visualization of quantum chemical phenomena. We will describe several Modules that we have built in Excel that allows for chemistry (and physics) students to visualize these quantum mechanical phenomena in real-time. We will describe a Module that allows students to visualize the Heisenberg Uncertainty Principle from the “particle-view”. We will then describe a Module that students can use to visualize quantum dynamics on any potential energy surface (by coding the numerical solution of the time-dependent Schrodinger equation in Excel). We also describe a Module that allows students to visualize the excitation of a molecule by IR photons and IR the genesis of an IR spectrum. Finally, we demonstrate a Module that allows students to visualize vibronic transitions in UV spectra (by coding non-adiabatic quantum dynamics in Excel.
Gretchen L. Matthews
Abstract:
How do we store private information? How do we communicate information securely? Answers to these questions are changing as computational capabilities change. Addressing them is vital not only to our national security but also our everyday existence, impacting commerce, healthcare, and the ways we interact with one another. Quantum computing poses a threat to current encryption schemes, such as RSA and elliptic curve cryptography, which underpin nearly all digital transactions. Public key encryption as we know it succumbs to Shor’s Algorithm, making a replacement necessary. For this reason, the National Institute of Standards and Technology (NIST) issued a call for cryptosystems which are post-quantum secure, meaning are resilient in the face of quantum algorithms. We survey the landscape of what is known as postquantum cryptography.
Biography:
Gretchen Matthews is a Professor in the Department of Mathematics and Affiliated Faculty of the National Security Institute at Virginia Tech where she also serves as Director of the Commonwealth Cyber Initiative (CCI) Southwest. Matthews earned her B.S. in mathematics from Oklahoma State University in 1995 and her Ph.D. in mathematics from Louisiana State University in 1999 and recently completed an M.B.A. at Virginia Tech. Her research program in applications of algebraic geometry and combinatorics to coding theory has received over 20 years of federal support by agencies such as NSF and NSA. She is passionate about building inclusive research environments and was designated a Fellow of the Association for Women in Mathematics “for service to the profession in fostering collaborative research groups with junior faculty and postdocs; and for excellence in mentoring,” among other contributions.
Past CS Scholars
Fall 2023
Date (Mon) | Lecturer | Topic |
---|---|---|
Sept 12 | Darryl Agee | Your Technology Journey – Meet your Future! Video |
Sept 26 | Skylar Gay | The Applications of Bioinformatics in the COVID-19 Pandemic and Beyond Video |
Oct 10 | Emma Berkel | Thoughts from an Unlikely Computer Science Major Video |
Oct 24 | Caleb White | Astrophotography: A Union of Software and Art Video (starts 12 minutes into the discussion) |
Nov 7 | Shayn Peirce-Cottler, Ph.D. | CANCELLED Using Computer Modeling and Machine Learning to Engineer Biological Tissues |
Nov 21 | TBD |
Presenter Subject and Biographies:
Darryl Agee, PMP®, PMI-ACP®
Abstract:
As an Information Technology student at Virginia Western, you are undertaking a journey – a trip – a destination.
But where will it take you?
In this talk, we will explore the parts of this journey – to assist you in developing your roadmap.
From “Picking a Path“, “Picking a Degree“, “Picking a Network” or maybe “Picking a Credential” – the choices are up to you BUT you have so many resources to help in your selections.
Biography:
Darryl Agee is a certified project management professional, and the PMO Practice Lead for More Better Technology , a Roanoke start-up technology company that delivers digital transformation solutions for their clients.
He has over 25 years of experience managing a wide variety of software development and systems implementation projects. His experience spans a variety of projects and business initiatives, including healthcare, retail, supply-chain and includes both waterfall and agile projects and initiatives.
Darryl is an experienced instructor and educator of project management including both the PMP® and PMI-ACP® Prep courses – teaching PMP® prep courses for the past 15 years, teaching project management for the local colleges including Virginia Western Community College and James Madison University’s Workforce programs.
His passion for project management is also shared with his local PMI Chapter (the Southwest Virginia PMI Chapter) where he has been a board member for the past 15 years, serving as President, VP of Marketing and Communications and currently as the VP of Programs. He is often a presenter, facilitator and coordinator of project management events and outreach with the chapter and the southwest Virginia community.
Darryl became a PMP® in January of 2006, a PMI-ACP® in 2017, and holds an MBA from Auburn University at Montgomery, an MS in Computer Info Systems from the University of Phoenix, and BA in English from the Virginia Military Institute.
Skylar Gay
Abstract:
From the first case of SARS-CoV-2 on December 31, 2019, to where we are today, Bioinformatics has shaped the way we view our data. As the COVID-19 pandemic raised questions of controlling and tracking viral transmission, public health officials turned to Bioinformatics to understand the need for new procedures in masking and travel. Utilizing phylogenetic techniques such as coalescent and migration simulations for verification, the first computational method to estimate transmission rate using genomic data was created. This novel method is ideal for large datasets with numerous populations regardless of their equilibrium status. Join Skylar Gay to explore this new methodology and its applications during the COVID-19 pandemic and beyond.
Biography
Skylar Gay is a Botetourt native and Virginia Western Community College alum. As the founder of e-FIT: Educating Females In Technology, she teaches young women introductory coding and hacking skills while educating them on STEM career opportunities. Her passion for biology and computer science emerged during her time in the SEA-PHAGES program at Virginia Western, in which she contributed to the discovery and genome annotation of novel bacteriophages. She was a Virginia All Academic Team Member and is a former President of Phi Theta Kappa International Honor Society and the Virginia Western Community College Diversity Club.
Skylar completed computational biology research in the Jonathan Arnold lab at the University of Georgia. Her work includes qualitative and quantitative analysis of the early COVID-19 pandemic and her program, transRate, which is the first genomic based transmission rate estimation tool. She also contributed to a breast cancer research project during her time at the university.
Skylar is now at the University of Virginia and utilizes her passion for biotechnology and computational biology. She is a member of Virginia BIO.
Emma Berkel
Abstract:
As a young IT professional, it seems like sometimes we have endless opportunities for jobs and IT pursuits. I don’t think there has ever been a time in human history when, with one skill, you can work for a three-letter agency or work remotely coding from your van-home. With lots of possibilities come lots of questions!
Believe it or not, I remember not too long ago being overwhelmed and terrified because I was forced to take Java 1 as a part of the Math degree at Virginia Western. I thought I would hate it and that it was going to be too hard for me and really boring. Thanks to the wonderful Math and Computer Science professors at Virginia Western, I am now a Software Engineer with the Department of Defense, and I even have a favorite problem in Computer Science theory!
My name is Emma Berkel, and while I certainly don’t have all the answers, I would like to offer some insight into the crazy world of being a young professional in IT. I studied at Virginia Western and the University of Virginia (yes, you have other options than Virginia Tech!) I have worked in the private sector and also for the federal government, and I have many passions that range from Cybersecurity to making Computer Science more accessible for women and minorities.
On October 10th, I would like to describe what my journey has been like and answer any questions you might have about Computer Science, college at a four-year university, and working in the intelligence community in general.
Caleb White
Abstract
With the proliferation of digital imaging came a new way to manipulate and process them. An image is digital data and software is used to interface with and manipulate it.
While software has been used to process and edit images for years, one genre of photography tops the list as one of, if not, the most technical: astrophotography. Join us to get a glimpse of how software, written both by large corporations and freelance hobbyists, is used to create nightscapes: photos of beautiful landscapes under the night sky.
Through this melding of computer science and art, you’ll see pictures of the Milky Way from stunningly dark locations and how something as simple as taking a photo can be so reliant on software to reach its final result. Some of the most crucial software tools were written by individuals in the hobby who saw a need and capitalized on it. Perhaps someone just like you!
Biography
Caleb earned his bachelors in Computer Engineering from Virginia Tech in 2019 and is currently working as a software developer at Altec Industries in his home county of Botetourt. With much newfound time after graduating and beginning his first in-career job, he took up hobbies such as wedding videography, learning to ride a motorcycle, and flying a powered paraglider. Yet astrophotography has remained top on his list and become a key part of his identity.
Having purchased his first camera in 2016 and taken his first Milky Way image with it, he was instantly hooked. This pastime became a serious hobby. As his skills developed it became apparent how reliant his craft was on software. Software written by, not only the likes of big companies like Adobe and Skylum, but passionate individuals in the hobby.
Caleb loves the adventure, challenge, and process of finding and being under increasingly threatened dark skies where he captures the many wonders of the night sky to share with others.
Shayn Peirce-Cottler, Ph.D.
Abstract:
The most prevalent, devastating, and complex diseases of our time, such as diabetes, cardiovascular disease, and cancer, involve the interactions of heterogeneous cells with one another and with their dynamic environment. However, the drugs that we use to treat diseases typically target a single protein and disregard the fact that cells within tissues have individualized responses to networks of interacting proteins. And, it is the collection of these cellular responses that underpins changes in tissue structure and function. To bridge the gap between proteins and tissues, my lab develops agent-based computational models and uses them in combination with experiments and machine learning approaches to predict how individual cell behaviors give rise to structural and functional changes in tissues. We have developed models to simulate blood vessel growth, skeletal muscle regeneration, and lung tissue fibrosis. Our research has identified new approaches for controling the dynamic and heterogeneous interactions between different cell types in order to regenerate tissues and slow disease progression.
Biography:
Shayn Peirce-Cottler, Ph.D. is Harrison Distinguished Teaching Professor of Biomedical Engineering with secondary appointments in the Department of Ophthalmology and Department of Plastic Surgery at the University of Virginia (UVA). Dr. Peirce-Cottler received Bachelor’s of Science degrees in Biomedical Engineering and Engineering Mechanics from The Johns Hopkins University in 1997. She earned her Ph.D. in the Department of Biomedical Engineering at the University of Virginia in 2002. Dr. Peirce-Cottler develops computational models in conjunction with experiments to study structural and functional adaptations of tissues in order to develop therapies for inducing regeneration in injured tissues and restoring homeostasis to diseased tissues. Her lab combines multiscale computational modeling with in vivo imaging of murine experimental models to examine and control the multi-cell interactions that underpin inflammation, angiogenesis, and fibrosis. Dr. Peirce-Cottler has published over 125 peer reviewed papers and book chapters, and she is an inventor on two U.S. Patents. She is a fellow in both the American Institute for Medical and Biological Engineering College of Fellows (AIMBE) and in the Biomedical Engineering Society (BMES). She is also Past-President of The
Spring 2022
Date (Mon) | Lecturer | Topic |
---|---|---|
Feb 21 | Kevin Kochersberger | UNMANNED AIRCRAFT DESIGN, DEVELOPMENT AND APPLICATIONS AT THE UNMANNED SYSTEM LAB Video |
Feb 28 | Lee Doughty | WORKING IN DEVOPS BUILDING A CLOUD-BASED CYBER RANGE Video |
March 7 | Annie Cekada | TECHNOLOGY MILKS THE COW Video |
March 21 | Dan Alberghetti | OVERVIEW OF THE NEW DEVNET ASSOCIATE COURSE IN NETACAD Video |
April 4 | Robert M. Perry | FIVE REASONS NOT TO PURSUE CYBERSECURITY Video |
April 18 | Rob Schadey | SO YOU WANT A JOB IN IT. HOW TO MAKE YOURSELF SEEN Video |
Fall 2021
Date (Mon) | Lecturer | Topic |
---|---|---|
Sept 20 | Tracey Dudding and Amanda Tolman | Optimizing Blood Bank Inventory with Machine Learning Techniques COMBATING SOCIAL LIES: Placing Trust Back in Social Media Video |
Oct 4 | Tyler Bamberg | Hacking What you Eat Attack on US Food and Agriculture Video Example FBI Private Industry Notification |
Oct 18 | Dr. Alfred Wicks | Who’s In the Driver’s Seat? NO ONE. Autonomous Cars Drive Themselves Video |
Nov 1 | Steve Cresawn | Drawing with Data: What Data Science and Data Visualization Are Teaching Us about Virus Genomes Video |
Nov 15 | Katrina Koomey | Capabilities within Commercial Clouds (AWS, Google, Azure) for automation as it related to cost controls Video |
Spring 2021
Date (Mon) | Lecturer | Topic |
---|---|---|
Feb 8 | Aimee Arias | Tips and Tricks on a Successful Resume and Interview Experience Video | Aimee Arias Transcript Customer Service Certification discussed: HDI-CSR |
Feb 22 | John Cornthwait | How to Start Your Own IT Business Video |
Mar 8 | Randy Marchany | Click Here to Kill Everyone: Security in a Hyper-Connected World Video |
Mar 22 | Caleb Bradberry | Are You As Smart As a Machine? Lessons from Machine Learning Video | ML talk VWCC |
Apr 5 | Rob Schadey | Cloud 101 Video |
Apr 19 | Rick Whitner | Blockchain == Crypto.? |
Contact Us
B Bagby
bbagby@virginiawestern.edu
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