From Here to Career: Get Accepted | Applying to Grad School: Tips for Applications
Thinking about going to graduate school? Come to this session to learn about the application process and how to make yours stand out!
Tue., Jan. 29 at 6 to 7 p.m. | Student Experience Center (SEC), 112 (Involvement Lounge)
Engineers Without Borders: Design Process Workshop
We'll be discussing the engineering design process, including assessing requirements, determining specifications, and alternatives analysis, and human-centered design.
Wed., Jan. 30 | 5 to 6 p.m. | Kearney 305
From Here to Career: Get Connected | Marketing My Experience
You have a wealth of skills and knowledge that employers are actively searching for in candidates for positions. Come to this workshop to learn how to translate the skills you gained through work-study, study abroad, student organizations, and service learning experiences into awesome cover letters, resumes, and interview answers.
Thur., Jan. 31 | Noon to 1p.m. | Student Experience Center (SEC), 112 (Involvement Lounge)
Research Ready Workshop
Are you wondering how to get involved in undergraduate research or creative work with a faculty mentor? We understand that this process can be confusing so we’re here to help! Join us for an evening workshop where we’ll discuss the benefits of working with a professor at OSU, how to identify and contact the professor you want to work with, and how to identify specific programs that provide funding to engage in research or creative work. You’ll also have an opportunity to hear directly from a panel of undergraduate researchers about what their experiences were like. RSPV at this link and we will follow up with location information: http://oregonstate.qualtrics.com/jfe/form/SV_5d1f1Y3rS3APzo1.
Wed., Feb. 6 | 5:30 to 7:00 p.m. | RSVP for location
Openly Published Environmental Sensing (OPEnS) Lab (open-sensing.org) OPEnS House
Please come learn about the OPEnS Lab equipment, capabilities, and current projects. There will be a 10 minute presentation at 3:45 pm. Refreshments will be provided. The Open-Sensing Lab is focused on developing environmental sensing projects and research. From soldering stations to 3D printers to laser cutters, our lab provides the tools necessary for students, professors, and researchers alike to develop tools used locally and worldwide by the ecological science and engineering community. If you can imagine it, we can build it!
Thur., Feb. 7 | 3 to 5 p.m. | Gilmore Annex, Room 200
College of Engineering Leadership Academy’s Annual Suit Camp
This is a unique event where you will be matched with industry professionals for mock interviews, as well as enjoy a networking social hour with them afterwards! A great way to maximize your professional network and practice skills that will give you a leg up in internship and job interviews. Open to ALL engineering students. More info and registration at this link, and email email@example.com with any questions.
Thur., Feb. 7 | 3-6 p.m. | CH2M Hill Alumni Center
MIME & CBEE Career Reception
Come to the Winter Career Reception, on the evening prior to the OSU Career Expo, to learn more about engineering careers, plus current entry-level and internship opportunities! This event is free and open to all MIME & CBEE students. The evening's schedule of events includes:
- 4:30-4:50 pm Check-In @MU Lounge
- 5:00-6:30 pm Career Insights Program – information about current opportunities and career paths at the participating companies (Attend three sessions of your choice.)
- 6:30-7:30 pm Networking Reception – an opportunity to meet with companies that interest you
The following employers will be attending: Analog Devices, Eaton, E&J Gallo Winery, US Army Corps of Engineers - Portland District, plus more to come. Register: bit.ly/careerW19.
Tue., Feb. 19 | 4:30 to 7:30 p.m. | Memorial Union, Main Lounge
MIME Distinguished Speaker: Nathan Johnson, Ph.D., " From Energy Access to Grid Resiliency: A Story of Anthropology, Engineering, and Business"
Innovation is a process that encompasses and eclipses engineering practice to more comprehensively include skillsets from anthropology, economics, and business. It is challenging, however, within our academic career paths to identify opportunities to apply that process in earnest. This talk will demonstrate opportunities for innovation with global impact by beginning with methods that capture and interpret user insights before diving deeper into four synergistic project areas that each connect user insights with technical research to the delivered product. Nathan Johnson is an Assistant Professor at Arizona State University and the Director of the Laboratory for Energy And Power Solutions (LEAPS).
Tue., Feb. 8 | 4 to 5 p.m. | Rogers 226
Graduate Research Showcase
The College of Engineering at Oregon State University is on the leading edge of new ideas, research, and innovation. The 2019 Graduate Research Showcase is a display of engineering research designed to promote the work of our graduate students, and how they are advancing the frontiers of engineering knowledge. Our graduate students will share their work through poster presentations with industry partners, alumni, the media, prospective students, faculty, their peers, and other academic institutions.
Fri., Feb. 8 | 1:30 to 4:30 p.m. | CH2M Hill Alumni Center
Looking for a summer job or internship? Now is the time to connect with some of the best employers in the country at the Oregon State Career Expo. As a leading research institution with land, sun, space, and sea grants, you are already innovators in your chosen fields. This career fair attracts approximately 130 employers seeking jobs and internships in STEM fields, the arts, humanities, business, and healthcare.
Wed., Feb. 20 | 11 a.m. to 3 p.m. | CH2M Hill Alumni Center
MIME Faculty Candidate Seminars
Mostafa Reisi Gahrooei - "Modeling and Improvement of Complex Systems with High-Dimensional Heterogeneous Data"
Complex systems in manufacturing, energy, and healthcare sectors are equipped with numerous sensors that generate massive amount of high-dimensional (HD), heterogenous data. By extracting the right information from such data, efficient models for the purpose of monitoring, assessing, and improving systems can be constructed. In this talk, two topics related to this area are presented. First, a sequential approach for sampling high-accuracy (HA) data based on the information obtained from low-accuracy (LA) data is presented. In several applications, a large amount of LA data can be acquired at a small cost. However, such LA data is not sufficient for generating a high-fidelity model of a system. To adjust and improve the model constructed by LA data, a small sample of HA data, which is expensive to obtain, is usually fused with the LA data. Unfortunately, current data fusion techniques assume that the HA data is already collected and concentrate on fusion strategies, without providing guidelines on how to sample the HA data. To address this issue, an approach that takes advantage of the information provided by LA data as well as the previously selected HA data points and computes an improvement criterion over a design space to choose the next HA data point is proposed. The results of simulation and case studies illustrate the importance of intelligent sampling of HA data in reducing the cost and improving the model accuracy. The second topic focuses on the problem of estimating a process output, measured by a scalar, curve, image, or structured point cloud by a set of heterogeneous process variables such as scalar process setting, profile sensor readings, and/or images. To create a unified modeling framework that effectively combines different forms of data points while exploiting the correlation structure within an HD data point, a general multiple tensor-on-tensor regression (MTOT) approach is proposed. In order to avoid overfitting and to reduce the number of parameters to be estimated, model parameters are decomposed using several basis matrices that span the input and output spaces. An efficient optimization algorithm for learning the bases and coefficients is provided. Several simulation and case studies reveal the advantage of the proposed method over some benchmarks in the literature in terms of the mean square prediction error.
Mon., Jan. 28 | 1:30 to 2:30 p.m. | Rogers 226
Joseph Agor - "Data Driven Feature Selection and Score Development Methods with Applications in Health Care"
This work presents frameworks and methodologies to address (a) the problem of feature selection in prediction models and (b) the development of scoring systems to assist decision makers in health care. We begin by presenting a framework used in the development of a score to capture physician workload in an effort balance workload among provider teams when triaging patients into a hospital. We employ an optimization model to develop the score and build a simulation to validate the use of the score. While this score is unique in that it provides a representation of information from the physician’s point of view, many of the current scores used in medical practice are severity of illness scoring systems representing information from a patient's point of view. Therefore, we move to work that is centered on the study of these types of scoring systems. In the development of severity of illness scores used to track patient acuity, the clinical value of missing information in the predictive power of these scores have not been quantified. Therefore, we study the value of missing information in machine learning models used to predict patient outcomes. Furthermore, we quantify this value in the use of severity of illness scoring systems. When using prediction models to construct severity of illness scores, the assumption is that the features are already known. We propose a bilevel programming approach to feature selection for prediction models. Due to the computational complexities associated with bilevel programs, we develop a tailored genetic algorithm as a solution approach. We implement this model in three separate case studies demonstrating that the bilevel approach will identify those features that are most important for use in the prediction. Finally, we have recently been working on an optimization-based framework for developing a severity of illness scoring system to track the progression of those patients susceptible to sepsis. This work contributes to the fields of Operations Research in health care and machine learning. We demonstrate how optimization models, specifically bilevel programming models, can be used to develop data driven solution tools. While most of this work has been applied in a health care setting, we believe that the frameworks and models presented are applicable in many other domains that utilize large data sets to learn features and build prediction models. Furthermore, if problems require the results of models to be presented in a concise way (e.g. as a singular score), then one could use the methods developed in this work to do so.
Fri., Feb. 1 | 11:30 a.m. to 12:30 p.m. | Rogers 226
Bradley Camburn - "Disruptive Systems Innovation"
Adaptive and innovative design methods are needed to ensure a sustainable future in the face of emerging complexity. Prototyping is one of the most critical, and often overlooked, aspects of the design process. Prototyping was historically seen as a precursor to manufacturing. This talk will report integrated techniques that add clearer distinctions in types of prototypes beyond the traditional alpha/beta classification. Relationships with cost and value will be highlighted. Additional, new research is reported that expands scientific understanding of prototyping methods and outcome in the integrated innovation process. A key finding is the application of prototypes can be dramatically more effective when executed in earlier phases of design. Insights are reported from controlled laboratory studies as well as in-situ industrial case studies including the development of an orbital class rocket engine. The objective of this work is to empower designers to create novel designs at lower cost.
Tues., Jan. 29| 12:45 to 1:45 p.m. | Rogers Hall, Room 226
Andy Dong - "The elegance and utility of design structures"
Some of the most pivotal scientific discoveries have been about structural forms. Until the double helix structure was discovered, the mechanism by which DNA transmitted biological information was unknown. With the discovery of the structure of the periodic table of the elements, the atomic structure of elements that had not yet even been found could nonetheless be predicted. While the field of engineering is likewise replete with discoveries about the structures of breakthrough designs – then formalized in symbolic representations in equations, diagrams, and domain-specific models – the field was not asking whether there were underlying or recurrent patterns in these designs. The structures of designs and design processes remained locked within the specificities of the problem under consideration even though they could explain other breakthroughs yet to be designed. In my research, I investigate the structures of designs and design processes, and by generating insights into the structures, solve important engineering design problems. In this talk, I present discoveries made by me and my research collaborators about the structures of designs and design processes and the effects those structures have, such as rate of innovation and productivity. I will highlight two concepts that underpin the discovery of these structures – spectral dimensionality reduction and abductive reasoning, the inference that makes discovery possible. I conclude with the implication of this research on mental models for the process of design, with emphasis on the design of complex systems.
Thur., Jan. 31 | 9:30 to 10:30 a.m. | Rogers Hall, Room 226
Jinjuan She - "Human-centered Design for Sustainability and Product Innovation"
This talk will discuss two projects that rely on human-centered design. The first focuses on the early stage of product design regarding sustainability. By using specifically designed features, I demonstrated that design could trigger customers to consider, seek, and value a product’s sustainability, and shift their choices towards more sustainable products. In addition, design techniques based on priming were proposed and tested to be effective in helping designers generate such design features. The second part presents a design practice to fill the gap between customer needs and problem definition in product innovation. It was found that a combination of contextual interview, survey, and journey map could be an effective way to collect and synthesize user research data at the fuzzy front-end. In addition, a visual artifact produced by a team helps to retain a user-centered mindset during cross-functional design brainstorming.
Fri., Feb. 1 | 2:15 to 3:15 p.m. | Rogers Hall, Room 226
- Please complete the survey in the following link: https://goo.gl/forms/qtSy1Z4aMD3EKlYb2