Program

Enjoy freshly brewed regular & decaf coffee, assorted teas, assortment of canned sodas, and bottled water whenever needed.

Who: Ashley Kline-Tozzi

Climate change. Global pandemic. Global recession. Wars in the Middle East, Africa, and Ukraine. Racism, sexism, terrorism, extremism. The news is terrible. With so much going wrong, is there anything to give us hope? Yes, it’s ACM-W Celebrations, and one of the best is OCWiC, a celebration that has been (more or less) continuously operating since 2005. What makes ACMW Celebrations unique and effective? And how can we learn from the growth and success of OCWiC to create a more hopeful, peaceful and equitable future?
In this talk, I will share my journey from college student to keynote speaker and invite you to join me in saying: “fork() /* the rules */” Let’s make something better!

Many students question “what comes next” about starting their journey in computing.  They can code just fine but haven’t yet found their “why” for doing all this hard work.  This presentation will get students excited about all the possibilities in this career. 

Poster 1: Classifying Eggplant Fruit into Shape Classes – Tigist Berhe
Poster 2: HeteroMILE: a Multi-Level Graph Representation Learning framework for Heterogeneous Graphs – Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
Poster 3: Knowledge Gap Identification for Visual Question Answering Datasets – Sarikaa Sridhar, Goonmeet Bajaj, Srinivasan Parthasarathy
Poster 4: Prioritization of Discordant Chronic Comorbidities and prediction of its medication using Machine learning – Ichchha Sharma
Poster 5: Baboons: Homecoming – Namrata Banerji , Roi Harel, Margaret Crofoot, Chase L. Núñez, Chainarong Amornbunchornvej, Tanya Berger-Wolf
Poster 6: Understanding How Experiential Projects Impact Students’ Feelings of Competence and Worthiness – Carrie Eierman
Poster 7: Mission Guatemala Database Software – Hannah Dill, Christian Pedersen, Carrie Eierman, Alex Walton
Poster 8: Simulation Environment for exploring edge-to-datacenter tradeoffs using smart camera traps application – Sowbaranika Balasubramaniam

Presenting and sharing your work is a crucial part of the research. Knowing how to share your research makes it easier to communicate its importance and network to gain new collaborators. In this workshop, we focus on explaining the how, what, and why of presenting research posters. We outline the different components of a research poster and provide examples. We plan to end the workshop with a group activity where participants can critique provided posters to help understand how to develop better posters. The goal of the workshop is to encourage students to share and publicize their work in hopes of increasing participation at conferences like OCWIC.

CSS stands for Cascading Style Sheets, and it is how the web is styled and made visually interesting. This talk covers the basics of how to use CSS then goes into detail on the cascade ordering and how that determines which rules are applied to which elements. I’ll also go over some of the different layout paradigms in CSS and general common pitfalls.

There’s more than one way to design and build a career. Explore ways to build your own plan for success and how to follow through with it.
• Start with a blueprint: Have a plan for where you want to go.
• Prepare with a strong foundation: There are great benefits to having broad knowledge bases.
• What’s a wet wall?: Understand standards the efficiencies they can provide.
• How many bathrooms do I need?: Determine your needs and desires. What’s critical for you, and what’s just a nice to have?
• Contractors can help: You’re not alone! Reach out to your network and mentors for support and guidance along the way.
• Remodeling: The needs of a 25-year-old may be different than the needs of a 55-year-old. The same is true of blueprints, buildings, and careers.
• Keys to entrance: There may be obstacles in your way, but you control how you deal with them.
Build your own way to success!

This talk will focus on characteristics of Deep neural networks versus Shallow Neural Networks and the role of various natural computing algorithms to optimize the architecture of deep neural networks with respect to image, video, natural language processing and time series analysis. The talk will highlight a variety of nature inspired computing algorithms, such as genetic algorithms, particle swarm optimization, Immunocomputing, grey wolf algorithm, cuckoo search algorithm to optimize the architecture of deep networks and will analyze the improvement in enhancement against the various performance metrics.

This session will explain the changing dynamics of B2B, how to create business value with digital commerce, and showcase examples of top companies who are implementing technology solutions with success. Particular attention will be paid to the role women play in fostering a culture of strategic collaboration to help their organizations lead. Whether you are a developer or a seasoned business leader, you will walk away with insights around how technology is being applied in B2B that rivals B2C experiences.

Digital forensics (DF) is about doing investigation on a computer-related crime scene. In particular, DF focuses on reconstructing past events that involved computers, communication devices and the likes. The demand for DF practitioners has been skyrocketing in recent years and is expected to rise further in the coming years. The government sector as well as the private sector desperately need to build a robust workforce of DF professionals. In our talk, we will introduce a few important topics of DF for those who are not familiar with the field, aiming to stimulate their interest. Specifically, we will discuss how the “forensics” work in the world of computers, networks, and smart phones.

There is so much focus on succeeding that we forget that it’s okay to fail. Failure has such a negative stigma that it’s avoided at all costs. In this talk, Nivi Engineer discusses how she has embraced the wonders that failure has taught her and imparts wisdom on how you, too, can celebrate the Joy of Failure.

Internet of things (IoT) allows people and things to be connected anytime, anywhere with anything. With the advent of better wireless technology and an increase in smartphone usage, a new mode of data collection (a.k.a. mobile IoT) has emerged.
Nowadays, smartphones are equipped with different types of sensors. As a result, people can easily participate in the sensing of their surroundings. Mobile IoT has several practical applications: air quality monitoring, traffic monitoring, reporting from disaster situations, and environment monitoring. These applications are usually open to the public and receive sensor data from multiple participants, which influences the reduction of data sparsity at lower costs in comparison with traditional sensor networks. However, IoT sensor data is error-prone due to a number of reasons: sensors may be deployed in hazardous environments, may deplete their energy resources, have mechanical faults, or maybe become the targets of malicious attacks by adversaries. Hence, it is crucial to predict those missing or imprecise data values from the correlated data streams. In this talk, I will present my research that aims at developing real-time analysis models, best suitable for mobile environments for enhancing data accuracy and integrity. Moreover, I will discuss different real-life applications of IoT.

Enjoy freshly brewed regular & decaf coffee, assorted teas, assortment of canned sodas, and bottled water whenever needed.

The performance of machine learning (ML) methods, including deep learning, for classification and regression tasks applied to tabular datasets is sensitive to hyperparameters values. Tuning these hyperparameters plays an integral part in improving the prediction accuracy of a machine learning algorithm as well as the model selection. Manually searching for the best configuration is a tedious task and many AutoML (Automated Machine Learning) frameworks have been proposed recently to help practitioners solve this problem. Hyperparameters are defined as the values or configurations used to control the behavior of the algorithm while building the model. Hyperparameter optimization is the guided process of finding the best combination of hyperparameters that delivers the best performance on the data and task at hand in a reasonable amount of time. In this work, we evaluate multiple AutoML hyperparameter optimization frameworks on several tabular datasets to identify the best framework among them for tabular data.

Thanks to the proliferation of the Internet of Things (IoT), pervasive healthcare is gaining popularity day by day as it offers health support to patients irrespective of their location. In emergency medical situations, medical aid can be sent quickly. Though not yet standardized, this research direction, healthcare Internet of Things (H-IoT), attracts the attention of the research community, both academia and industry. In this talk, I will present a comprehensive review of pervasive computing H-IoT. In particular, I will introduce (1) applications, (2) key components, their roles and connections in pervasive H-IoT.

A common point of contact between biology and computer science uses machine learning (ML) and computer vision to classify species. We focus on understanding Mullerian mimicry in Heliconius butterflies and what aspects of phenotypes make pairs of co-mimic butterflies look similar to predators. To answer this question, we use Machine Learning approaches to analyze images of butterflies to assess similarities and differences among mimic pairs. Specifically, we use a convolutional neural network that uses triplet loss to create a latent embedding space, with different variations of the triplet chosen across species and co-mimic pairs. Pairwise comparisons across subspecies show that traditionally hypothesized co-mimics are significantly closer to each other in the embedding than are other subspecies pairs, indicating that there is indeed detectable information on the similarity of the co-mimics. This shows that we can discover and characterize differences that distinguish one subspecies from another. The next step is identifying the features that make the co-mimics look similar to predators.

This presentation will discuss findings previously presented as a poster at ACM SenSys 2022. By deploying IoT Air Quality sensors, we can provide real-time and fine-grained air quality data. We share our findings from testing in a controlled lab environment, deploying in an urban environment, and an enclosure for future deployments. For locations less than 4 miles apart, there is a significant difference in air quality, supporting the need for fine-grained air quality sensing to provide communities with more accurate air quality data.

The retro 80s game, Oregon Trail, taught and inspired a generation about a significant historical event in the United States – the beginning of westward expansion [1]. The game has achieved almost cult-like status, but this does not exclude the game from flaws concerning the lack of representation and other DEI issues. This project will focus on one vein of DEI – the representation and voices of women on the Oregon Trail. This focus was selected as it would be of particular interest to our current students, one of the faculty members on the project, and the female student on the project. As stated, the current short-term goal is to focus on the voice of women in the Oregon Trail experience.

A publication for a proposed concept that provides the structure for a physical space where users can interact with the shared mixed reality environment, an environment projected to help create the collaborative aspect in this project without any wearable devices. In this publication, we presented the developed system, implemented four-dimensional interactions, and demonstrated the feasibility of the structured experience we have created.

The application of chest X-ray imaging for early disease screening is attracting interest from the computer vision and deep learning community. To date, various deep learning models have been applied in X-ray image analysis. However, models perform inconsistently depending on the dataset. In this work, we consider each individual model as a medical doctor. We then propose a doctor consultation-inspired method that fuses multiple models. In particular, we consider both early and late fusion mechanisms for consultation. The early fusion mechanism combines the deep learned features from multiple models, whereas the late fusion method combines the confidence scores of all individual models. Experiments on two X-ray imaging datasets demonstrate the superiority of the proposed method relative to baseline. The experimental results also show that early consultation consistently outperforms the late consultation mechanism in both benchmark datasets. In particular, the early doctor consultation-inspired model outperforms all individual models by a large margin of accuracy in the UIT COVID-19 and chest X-ray datasets, respectively.

Space applications are becoming increasingly prominent, spanning from space exploration to a variety of critical operations on earth. Consequently, in-space navigation and timing are more and more crucial, and world-wide research is on-going with the objective to improve them. With that main objective, Bobcat-1 CubeSat was designed and developed at Ohio University, in the Avionics Engineering Center. The students in the Bobcat-1 CubeSat team worked hands-on to design, build and operate the satellite and the ground-station. In addition, they worked on the mission planning and control, as well as on the data collection, organization, processing, and analysis. Bobcat-1 was launched in October 2020, deployed from the International Space Station in November 2020 and was expected to deorbit after six months. Bobcat-1 deorbited in April 2022, after a 17 month fully operational mission. Good results have been already found; however, the analysis of the data collected by Bobcat-1 is still on-going. 

Working remote had always been a dream goal for Lisa’s career. She achieved an opportunity in 2016 as an individual contributor in a remote role. Since then, Lisa has stepped through a series of increasingly complex and broaden roles to now be the Global Lead for DevOps across the organization. Since the pandemic, now workers are finding themselves in a remote or hybrid environment – ready or not. In this session, Lisa will discuss tactical steps she has used successfully to build a remote career through building remote relationships, building a remote presence, and building remote well-being.