IRIS 2020
Unfortunately, IRIS 2020 was cancelled due to COVID-19.
You can learn more about what we had planned below.
You can learn more about what we had planned below.
Keynote Speaker
Oana D. Jurchescu
Department of Physics and Center for Functional Materials, Wake Forest University
Prof. Oana Jurchescu is an associate professor in the Physics Department at Wake Forest University and a member of the WFU Center for Functional Materials. She received her PhD (2006) from the University of Groningen, the Netherlands, and was a postdoctoral researcher at the National Institute of Standards and Technology in Gaithersburg, MD, (2007 – 2009). She joined WFU in 2009. Her expertise is in charge transport in organic semiconductors, device physics, and structure-property relationships in organic and hybrid functional materials. She won the National Science Foundation CAREER award, the Wake Forest Award for Excellence in Research, the URECA Award for Excellence in Mentorship in Research and Creative Work, the Wake Forest University Reid-Doyle Prize for Excellence in Teaching, the Wake Forest Innovation award, and several other awards. She co-authored over 80 publications, 4 book chapters, holds 3 patents, and gave over 70 invited or plenary talks at international conferences. She is a member of the executive committee of the Division of Materials Research within American Physical Society.
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Fantastic Plastic: Fueling a Revolution in Electronics
Plastic is ubiquitous in most sectors of our lives due to its low cost, lightweight, versatility and ease of molding into any shape. For many years, however, its use was restricted to that of an encapsulant in the electronics industry. The birth of plastic electronics has changed that and now sensors built from plastics (i.e. organic semiconductors) save lives in the hospitals and on the battlefield, light-emitting diodes incorporated in displays produce the most vivid pictures, and an increasing number of products are approaching the marketplace. Plastic electronics retain the key attributes of plastic and augment current technologies with products where traditional electronics are not applicable: they can enable flexible and conformable circuits that can be placed on anything to introduce a revolutionary concept of electronics everywhere. In this presentation I will focus on such materials and devices which provide an opportunity to incorporate electronics in non-traditional areas such as clothing, electronic paper, flexible and rollable applications, or bio-integrated applications. A mind-blowing array of new products include rollable displays, tattoo-like smart bandages that inform medical professionals in real time, conformable electronics inserted into clothes and even human body. For such a sweeping revolution to occur, innovation is needed in materials and devices. Research activities over the past decades provide a tremendous foundation of knowledge on the phenomena occurring in organic electronics and promise versatile commercial applications. |
William Cruse, UNC Greensboro
A Persistence Homology Approach to Time Series Classification
Topological Data Analysis (TDA) is a rising field of computational topology in which the topological structure of a data set can be observed by persistent homology. By considering a sequence of sublevel sets, one obtains a filtration that tracks changes in topological information. These changes can be recorded in multi-sets known as persistence diagrams. Converting information stored in persistence diagrams into a form compatible with modern machine learning algorithms is a major vein of research in TDA. Persistence curves, a recently developed framework, provides a canonical and flexible way to encode the information presented in persistence diagrams into vectors. In this work, we propose a new set of metrics based on persistence curves. We prove the stability of the proposed metrics. Finally, we apply these metrics to the UCR Time Series Classification Archive. These empirical results show that our metrics perform better than the relevant benchmark in most cases and warrant further study.
Aidan Lytle, UNC Greensboro
Novel Mathematical Methods for Flow Analysis in Heavy Ion Collisions
In Heavy Ion Collisions, nuclei of heavy atoms collide at nearly the speed of light. The collision produces a fluid called the Quark-Gluon Plasma, with remarkably low viscosity. This fluid is closely related to the state of the early universe, and can be studied as a collective phenomenon. To study the flow and non-flow properties of the fluid, we introduce a set of combinatoric models and other novel methods for the disentangling of flow from non-flow, and to test the predictions given by observation against known models.
Kyle Wiseman, High Point University
Port Knocking and Single Packet Authorization Performance in a Multi-User Environment
Port Knocking is a mechanism that closes ports on a system to any client that does not execute the correct knocking sequence. When the correct knock sequence is recorded then the port opens for use by that specific client. However, port knocking is dependent on the sequence being correct and therefore has weaknesses. Such weaknesses include replay attacks, denial-of-service attacks, and out of order packet delivery. In turn, Single Packet Authorization attempts to address the weaknesses in port knocking. It accomplishes this by only sending one packet to authorize the opening of a port for the client. Yet, there may be limitations to the effectiveness of Single Packet Authorization. The purpose of our project is to evaluate the use of Port Knocking or Single Packet Authorization in multi-user and Port Address Translation environments. This is done by measuring the time and reliability of making connections to an OpenSSH client using both mechanisms in a variety of endpoint configurations.
Benjamin Ingram, UNC Greensboro
Low sensitivity to group members inhibits cooperation on evolving multiplayer networks
We model a mobile population interacting over an underlying spatial structure using a Markov movement model. Interactions take the form of public goods games, and can feature an arbitrary group size. Individuals choose strategically to remain at their current location or to move to a neighboring location, depending upon their exploration strategy and the current composition of their group. This work builds upon Erovenko et al. (2019), which investigated the effect of network topology on the evolution of cooperation. In this project, we vary the sensitivity to the group composition as part of the exploration strategy of the individuals. We find that low awareness to whom individuals interact with inhibits cooperation independently of the network topology.
A Persistence Homology Approach to Time Series Classification
Topological Data Analysis (TDA) is a rising field of computational topology in which the topological structure of a data set can be observed by persistent homology. By considering a sequence of sublevel sets, one obtains a filtration that tracks changes in topological information. These changes can be recorded in multi-sets known as persistence diagrams. Converting information stored in persistence diagrams into a form compatible with modern machine learning algorithms is a major vein of research in TDA. Persistence curves, a recently developed framework, provides a canonical and flexible way to encode the information presented in persistence diagrams into vectors. In this work, we propose a new set of metrics based on persistence curves. We prove the stability of the proposed metrics. Finally, we apply these metrics to the UCR Time Series Classification Archive. These empirical results show that our metrics perform better than the relevant benchmark in most cases and warrant further study.
Aidan Lytle, UNC Greensboro
Novel Mathematical Methods for Flow Analysis in Heavy Ion Collisions
In Heavy Ion Collisions, nuclei of heavy atoms collide at nearly the speed of light. The collision produces a fluid called the Quark-Gluon Plasma, with remarkably low viscosity. This fluid is closely related to the state of the early universe, and can be studied as a collective phenomenon. To study the flow and non-flow properties of the fluid, we introduce a set of combinatoric models and other novel methods for the disentangling of flow from non-flow, and to test the predictions given by observation against known models.
Kyle Wiseman, High Point University
Port Knocking and Single Packet Authorization Performance in a Multi-User Environment
Port Knocking is a mechanism that closes ports on a system to any client that does not execute the correct knocking sequence. When the correct knock sequence is recorded then the port opens for use by that specific client. However, port knocking is dependent on the sequence being correct and therefore has weaknesses. Such weaknesses include replay attacks, denial-of-service attacks, and out of order packet delivery. In turn, Single Packet Authorization attempts to address the weaknesses in port knocking. It accomplishes this by only sending one packet to authorize the opening of a port for the client. Yet, there may be limitations to the effectiveness of Single Packet Authorization. The purpose of our project is to evaluate the use of Port Knocking or Single Packet Authorization in multi-user and Port Address Translation environments. This is done by measuring the time and reliability of making connections to an OpenSSH client using both mechanisms in a variety of endpoint configurations.
Benjamin Ingram, UNC Greensboro
Low sensitivity to group members inhibits cooperation on evolving multiplayer networks
We model a mobile population interacting over an underlying spatial structure using a Markov movement model. Interactions take the form of public goods games, and can feature an arbitrary group size. Individuals choose strategically to remain at their current location or to move to a neighboring location, depending upon their exploration strategy and the current composition of their group. This work builds upon Erovenko et al. (2019), which investigated the effect of network topology on the evolution of cooperation. In this project, we vary the sensitivity to the group composition as part of the exploration strategy of the individuals. We find that low awareness to whom individuals interact with inhibits cooperation independently of the network topology.
Organizing Committee
Addie Harrison
Noah Meyer
Elizabeth Dicus
Fernando Rigal
Hannah Scanlon
Sarah Ruth Nicholls
Dr. Kaitlin Hill
Dr. John Moore
Addie Harrison
Noah Meyer
Elizabeth Dicus
Fernando Rigal
Hannah Scanlon
Sarah Ruth Nicholls
Dr. Kaitlin Hill
Dr. John Moore
IRIS 2020 Cancellation Message
Dear IRIS Conference Participant,
As a result of the uncertainty regarding the current health crisis and in following with university policies and CDC recommendations, we regret to inform you that we will be cancelling the 2020 Integrating Research in Science Conference. We are grateful for your interest in this year’s conference, and we are saddened that we will not be able to provide this opportunity for students to engage in stem research. While we are unable to hold the conference this year, our team of student organizers is already excited for IRIS 2021. We hope you will stay connected with us through our website (iris.wfu.edu) and our instagram (@iriswakeforest). We will use these to post updates about IRIS 2021 and about smaller events we plan to hold during the Fall of 2020.
Please feel free to contact us with any questions and concerns at harram16@wfu.edu or meyenm17@wfu.edu. Stay healthy, and we hope to see you next year!
Best Regards,
IRIS 2020 Organizing Committee
As a result of the uncertainty regarding the current health crisis and in following with university policies and CDC recommendations, we regret to inform you that we will be cancelling the 2020 Integrating Research in Science Conference. We are grateful for your interest in this year’s conference, and we are saddened that we will not be able to provide this opportunity for students to engage in stem research. While we are unable to hold the conference this year, our team of student organizers is already excited for IRIS 2021. We hope you will stay connected with us through our website (iris.wfu.edu) and our instagram (@iriswakeforest). We will use these to post updates about IRIS 2021 and about smaller events we plan to hold during the Fall of 2020.
Please feel free to contact us with any questions and concerns at harram16@wfu.edu or meyenm17@wfu.edu. Stay healthy, and we hope to see you next year!
Best Regards,
IRIS 2020 Organizing Committee
