FABE Seminar Series
Each semester, the Department of Food, Agricultural and Biological Engineering hosts a seminar series for graduate students, faculty, and guests. Speakers include Ohio State faculty and staff, international experts in current topics, and students sharing updates on their research.
Spring 2022 Series
The FABE Seminar is conducted Tuesdays from 1:50 - 2:45pm (EST) via Zoom.
Zoom Link (Internal Ohio State use only)
External Viewers: Contact Darren Drewry for Zoom
Title: “Roles for smart indoor environmental control in connected energy communities”
Abstract: The recent pandemic has focused our attention on our indoor environments and the outsized role they play in our health, comfort and the energy used by our buildings. As in many engineering problems, the control of our indoor environments is rapidly moving from a prescriptive, rule-of-thumb, analog paradigm to a fully data-driven automated control paradigm, enabled by the internet of things and advances in data analytics, machine learning and AI. This talk looks at two different case studies and a simulation campaign concerned with sensor-driven control of indoor environments and couches them in the context of a near-future world of connected energy communities operating in concert with their surrounding microgrids and larger bulk grid. The overarching question we’ll seek to answer is what role control of our indoor environments can play in these communities. Results show that prediction and control of airborne pollutant concentrations with low-cost sensors and machine learning is in its infancy but showing promise. When integrated into a large community framework, results show ventilation control alone can be an enormous benefit to grid peak reductions and the reduction of power demand charges for commercial and agricultural consumers.
Bio: Dr. Jordan D. Clark is a building scientist and Assistant Professor at the Ohio State University in Columbus, OH who studies ways of sustainably providing for healthy, comfortable indoor environments. His research looks at several objectives including reducing energy use and carbon emissions attributed to building operation and improving buildings’ interaction with electrical grids. He is a national and international leader in the area of indoor air quality sensing and data-driven control of indoor environments and contributes to several efforts around data-driven modeling and control of buildings and energy systems containing buildings. He serves on the executive committee of ASHRAE Standard 62.2: Ventilation for Acceptable Air Quality in Residential Buildings, as a Consultant to ASHRAE Standard 62.1 for Commercial Buildings, and is the Research Subcommittee Chair for ASHRAE Technical Committee 4.3: Ventilation and Infiltration.
Title: Trustworthy AI and Data Science for Ecology and Conservation
Abstract: Computation has fundamentally changed the way we study nature. New data collection technology, such as GPS, high-definition cameras, UAVs, genotyping, and crowdsourcing, are generating data about wild populations that are orders of magnitude richer than any previously collected. Unfortunately, in this domain as in many others, our ability to analyze data lags substantially behind our ability to collect it. The hope of creating a trustworthy data-driven, AI-enabled decision and insight process is with a human-machine and a machine-enabled inclusive human partnership.
In this talk I will show how computational approaches can be a trustworthy partner of every stage of the scientific process of understanding animal ecology and making decisions about wildlife conservation, from intelligent data collection to hypothesis formulation and insight.
Bio: Dr. Tanya Berger-Wolf is a Professor of Computer Science Engineering, Electrical and Computer Engineering, and Evolution, Ecology, and Organismal Biology at the Ohio State University, where she is also the Director of the Translational Data Analytics Institute. Recently she has been awarded US National Science Foundation $15M grant to establish a new Harnessing Data Revolution Institute, founding a new field of study: Imageomics. As a computational ecologist, her research is at the unique intersection of computer science, wildlife biology, and social sciences. She creates computational solutions to address questions such as how environmental factors affect the behavior of social animals (humans included). Berger-Wolf is also a director and co-founder of the conservation software non-profit Wild Me, home of the Wildbook project, which brings together computer vision, crowdsourcing, and conservation. It has been recently chosen by UNSECO as one of the top AI 100 projects worldwide supporting the UN Sustainable Development Goals.
Berger-Wolf has given hundreds of talks about her work, including at TEDx and UN/UNESCO AI for the Planet.
Prior to coming to OSU in January 2020, Berger-Wolf was at the University of Illinois at Chicago. Berger-Wolf holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign. She has received numerous awards for her research and mentoring, including University of Illinois Scholar, UIC Distinguished Researcher of the Year, US National Science Foundation CAREER, Association for Women in Science Chicago Innovator, and the UIC Mentor of the Year.
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Title: Trends and Emerging Approaches for Screening Food Ingredients: The Handheld Spectroscopy Revolution
Abstract: Molecular fingerprinting technology has evolved from bulky laboratory benchtop instrumentation to field deployable devices driven by advances in semiconductor and photonic technologies. Ongoing miniaturization of vibrational spectroscopy equipment has revolutionized the food industry by allowing on-site and real-time monitoring of food products and production processes to ensure quality and safety. Commercialization of handheld and ruggedized instrumentation for field deployment is enabling little or no sample preparation requirement, non-contact and non-destructive capabilities. Testing done as close to the original source would permit detecting risks before an ingredient has been diluted or combined with other ingredients. By producing a characteristic chemical ‘fingerprint’ with unique signature profiles, miniaturized molecular spectroscopy techniques combined with chemometric analysis have positioned as viable “green” alternatives for field applications allowing phenotyping, quality assurance, authentication, and detection of adulteration and contaminants in foods.
Bio: Luis E. Rodriguez-Saona obtained his degree as a Food Engineer from the Universidad Nacional Agraria, La Molina (Lima, Peru). Later he received his Master and Doctorate degrees in Food Science from Oregon State University. After a Post-doc at the Joint Institute of Food Safety and Applied Nutrition (FDA-UM), he joined the department of Food Science and Technology at The Ohio State University and is currently a Professor working on the applications of vibrational spectroscopy for chemical detection. Through the collaboration with leading optical sensing industries, his molecular vibrational Lab is recognized for the integration of pattern recognition analysis to complex spectral information for developing quality control programs, monitoring compositional traits in breeding programs, and screening for potential contamination and adulteration of foods. His research has generated over 100 peer-reviewed articles, 20 book chapters and multiple presentations at national and international meetings.
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Select FABE graduate students will be presenting their research for consideration for one of the FABE Graduate Student Research Awards.
Select FABE graduate students will be presenting their research for consideration for one of the FABE Graduate Student Research Awards.
More information coming soon...
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