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2018 Class of Fellows

2018 Class of Fellows

Source: https://www.electrochem.org/234/fellows

Venkat R. Subramanian received his Bachelor of Technology degree in chemical and electrochemical engineering from the Central Electrochemical Research Institute, Karaikudi, India, in 1997 and his PhD degree in chemical engineering from the University of South Carolina, Columbia, SC in 2001. He is currently a Washington Research Foundation Innovation Professor of Chemical Engineering & Clean Energy and an adjunct professor of Electrical Engineering, at the University of Washington, Seattle. He holds a joint appointment at Pacific Northwest National Laboratory as a Chief Scientist.

His research interests include multiscale simulation of electrochemical systems, electrochemical engineering, energy-systems engineering, real time state-of-charge and state-of-health estimation of lithium-ion batteries, model-based battery management systems for electric transportation, and renewable microgrids and application of nonlinear model predictive control methods.

Subramanian’s group has the fastest algorithm reported in the literature for the simulation of battery models.

Subramanian is a past elected chair of the IE&EE division of The Electrochemical Society, received the student research award from the ECS battery division and the ECS IE&EE division student achievement award for his doctoral research. He was awarded the Dean’s award for excellence in graduate study in 2001 for his doctoral research. He acknowledges the influence of his undergraduate and graduate advisors/teachers, his past and current students, and many researchers/well-wishers in the ECS community.

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ECS Data Science Showcase (2018)

ECS Data Science Showcase

 

Source:

https://www.electrochem.org/234/data-sciences-showcase

 

The ECS Data Science Showcase will highlight new electrochemical and solid state research and the open source software and datasets that underpin the work. Research talks will be complemented by a demonstration on how others can access, use, modify, and improve the open-source tools and data associated with the research project. The ECS Data Sciences Showcase is being led by the very capable and engaging team from the University of Washington—Matt Murbach, David Beck, and Dan Schwartz—who have brought you Hack Day (fall 2017) and Hack Week (spring 2018).

Because data science is a fast moving field, the Showcase will conclude with a “Late Breaking News” session to feature emerging electrochemical and solid state research that embraces open software and open data sets. Especially valued are contributions that feature early-stage research where alpha- and beta-testers can be solicited to improve new open research products. The organizers welcome direct email contact by prospective contributors to the Late Breaking News section, up to four weeks prior to the event.

The complete schedule may be found here.

Meet the organizers

Daniel Schwartz is the Boeing-Sutter Professor of Chemical Engineering and Director of the Clean Energy Institute at the University of Washington, and brings electrochemistry and modeling expertise to the team. David Beck is a Sr. Data Scientist with the eSciences Institute at the University of Washington, and leads regular hackathons; he is Associate Director of the NSF Data Intensive Research Enabling CleanTech (DIRECT) PhD training program. Matthew Murbach is past-president of the University of Washington ECS Student Chapter, and an advanced data sciences PhD trainee; he has been leading the student section software development sessions on the UW campus, and has practical experience coaching electrochemical scientists and engineers in software development.

Speakers

Open Software Tools for the Analysis of Electrochemical Impedance Spectra
Matthew D. Murbach and Daniel T. Schwartz, Department of Chemical Engineering and Clean Energy Institute, University of Washington

Tip–Surface electrode Interactions and the Effects of These Interactions on Scanning Electrochemical Microscopy Response
Alex Mirabal, Dr. Scott Calabrese Barton, Michigan State University

Detailed Chemistry Modeling via Cantera:
A Pathway to Understanding Battery Degradation Mechanisms
Steven C. DeCaluwe,1 Daniel Korff,1 Amy LeBar,1 and Christopher H. Lee1,2
1 Colorado School of Mines, Department of Mechanical Engineering
2 University of Colorado, Colorado Springs, Department of Computer Science

A Data Science Approach for Quantitative Analysis of Total Differential Capacity Plots
L. Thompson,1 S. Alamdari,1* T. A. Cohen,2,3,4* R. C. Masse, 2* G. Z. Cao,2 V. C. Holmberg,1 J. Pfaendtner,1 and D. A. Beck1,5
1 Department of Chemical Engineering, University of Washington, Seattle, WA
2 Department of Materials Science and Engineering, University of Washington, Seattle, WA
3 Department of Chemistry, University of Washington, Seattle, WA
4 Molecular Engineering Institute, University of Washington, Seattle, WA
5 eScience Institute, University of Washington, Seattle, WA

Using Image Recognition to Identify Platinum Surfaces with Cyclic Voltammetry Scans
Heather Baroody and Tasleem Muzaffar, Department of Chemistry, Simon Fraser University

Open Science Strategy to Accelerate Adoption of Nonlinear Electrochemical Impedance Spectroscopy as a Battery Diagnostic
V. W. Hu, M. D. Murbach, and D. T. Schwartz, Department of Chemical Engineering and Clean Energy Institute, University of Washington

What Can Electrochemistry Learn from Chess?
Neal Dawson-Elli,1 Kishalay Mitra,2 and Venkat R. Subramanian1,3
1 Department of Chemical Engineering, University of Washington, Seattle, WA
2 Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, India
3 Pacific Northwest National Laboratory, Richland, WA

Open Software for Electrochemical Battery Modeling, Estimation, and Control
Scott Moura, Assistant Professor, Director of eCAL, Hector Perez, Zach Gima, Saehong Park, and Dong Zhang, University of California, Berkeley

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ECS Fellow Dan Schwartz Wins Highest U.S. Award for STEM Mentors

ECS Fellow Dan Schwartz Wins Highest U.S. Award for STEM Mentors

 

Source: https://www.electrochem.org/redcat-blog/dan-schwartz-wins-award-stem-mentors/

 

Daniel Schwartz, a University of Washington professor of chemical engineering and director of the Clean Energy Institute, received the Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring from the White House Office of Science and Technology Policy and the National Science Foundation this week. The OSTP and NSF recognized Schwartz for his commitment to interdisciplinary graduate education – helping students apply their research to societal and market needs – along with his dedication to recruiting and supporting Native American STEM (science, technology, engineering and mathematics) scholars at the UW.

“I’m proud to join this cadre of dedicated educators and mentors helping students become leading scientists and engineers,” said Schwartz. “Focusing on clean energy science, engineering and resource management at UW has brought top students from across the country to Seattle, where they have partnered with Northwest tribes and businesses to ensure the future of energy is being created here.”

Starting in 2007, Schwartz launched an NSF-funded interdisciplinary graduate training program that used tribal clean energy research partnerships to attract top Native American students to graduate degree programs in UW’s College of the Environment and College of Engineering. The program was continued and expanded in partnership with Washington State University and Salish Kootenai College with U.S. Department of Agriculture funding, eventually including an undergraduate summer research experience program. Since the program launched, 26 students have completed doctoral degrees, with four awarded to Native Americans and four to other underrepresented minorities. Six masters have also been awarded – including two to Native Americans – and a tribal student-led startup company was founded. A signature achievement was the 2016 Alaska Airlines flight from Seattle to Washington, D.C. on fuel partially made from tribal forest thinnings.

Listen to the ECS Podcast to learn more about Dan Schwatz and open science.

“When you take into consideration the low number of Native Americans succeeding in graduate school STEM programs, you must recognize the number of tribal scholars that Dan has helped succeed, in one way or another,” said UW doctoral student Laurel James. “I, for one, would not be where I am today without his mentorship and opportunities for employment as I worked my way through the majority of my Ph.D. as a single parent.”

In addition to his role as an educator and mentor, Schwartz is the founding director of the UW’s Clean Energy Institute, an interdisciplinary research unit that supports the advancement of next-generation solar energy and battery materials and devices, as well as their integration with systems and the grid. With funds from the state of Washington, CEI has supported 152 graduate fellows pursuing clean energy research at UW. Through CEI, fellows receive professional development training, network with industry professionals and top clean energy researchers from around the world, and lead K-12 STEM outreach programs for Washington state schools.

Daniel Schwartz is also an ECS fellow and organizer of Hack Week, an event held at ECS biannual meetings to raise awareness on the impact of data science tools, open source software, and shared datasets in electrochemistry and solid state science and technology, by bringing together people from different backgrounds to collaborate. Hack Week will be taking place this October at AiMES 2018.

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ECS Data Sciences Hack Week

ECS Data Sciences Hack Week

Source: https://www.electrochem.org/233/meeting-highlights

Participants at work during the first ECS Data Sciences Hack Week.

Building on the success of the first ECS Data Sciences Hack Day (October 2017), the Society offered an expanded program at its Seattle meeting. The first ECS Data Sciences Hack Week kicked off on Monday and consisted of all-day sessions Wednesday through Friday, as well as optional software training tutorials during the week. These activities culminated with project presentations and an optional clamming expedition—a traditional activity in the Puget Sound area—on Saturday.

Like Hack Day, Hack Week was organized by Daniel Schwartz, David Beck, and Matthew Murbach of the University of Washington. Daniel Schwartz is the Boeing-Sutter Professor of Chemical Engineering and director of the Clean Energy Institute at the University of Washington. He brings electrochemistry and modeling expertise to the team. David Beck is a senior data scientist with the eSciences Institute at the University of Washington who leads regular hackathons. He is also the associate director of the NSF Data Intensive Research Enabling CleanTech PhD training program. Matthew Murbach is a past president of the ECS University of Washington Student Chapter and an advanced data sciences PhD trainee. He has been leading student section software development sessions on the UW campus and has practical experience coaching electrochemical scientists and engineers in software development.

The goal of the event was to increase the awareness and impact of data science tools, open source software, and shared datasets in electrochemistry and solid state science and technology by bringing together people from different backgrounds to collaborate.

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2018 Industry Panel and Networking Event

DICE (Diversity in Clean Energy) and ECS@UW (Electrochemical Society @ UW) are hosting the annual Industry Panels and Networking Event this Thursday (5/24) at Institute for Nano-engineered Systems (NanoES) Building.
The event is sponsored by Clean Energy Institute and eScience Insitute.

Schedule:

Industry Panel: 4-6 pm at NanoES 181
Networking Session: 6-8 pm at NanoES Lobby 

Panels:

Panel 1 Start-ups
Start-ups What does it take to start a company? Local start-up executives and venture capitalists share their unique experiences starting and cultivating new cleantech companies.
Panel 2  Moving From Academia To Industry
These scientists have successfully moved to industry. Come hear how their degrees did (or didn’t) prepare them for their jobs and what they wish they had known.
Invited Companies: Doosan GridTech, KPMG, DNV-GL
 

Panel 1: Start-ups

Trevor Martin
Chief Science Officer at Hive Battery Labs
Seven years of experience developing new materials, methods, and devices within the clean energy field. Developed new solar energy, energy storage, and solar fuel technologies. Proven record of scientific impact and technological innovation. Skillset spans a wide range; from the small scale of molecular engineering and chemical analysis to materials synthesis and characterization, and finally to complete device fabrication and testing. Expert in a range of microscopy and spectroscopy techniques for materials analysis. Experience with programming for data science and simulations.

Carey Gersten
Director of Market Development at Distributed Energy Management
Carey Gersten has 30-plus years of business, community and non-profit experience in various leadership roles including developing markets, improving operations and guiding strategic initiatives. He has a particular interest aligning efficient information management with organizational goals to foster better decision-making. Carey has deployed geographic and product information systems for large enterprises and currently helps companies maximize the productive use of their utility energy for better performance. Additionally, he has been a sea kayak guidebook author, a National Outdoor Leadership Educator and is currently active with National Ski Patrol and the Cascade Bicycle Club. He holds a BA from Colgate University, MBA from Boston University, and is a certified Sustainable Building Advisor.

Jeff Canin, MBA
Investor in Residence at Washington Clean Energy Testbed
Jeff has a long career in financial services and venture capital. His current efforts are focused on providing advisory services to early-stage companies and university technology commercialization spinouts. He is a member of the Board of Directors at E8, a cleantech-oriented angel investment group, and a co-manager of E8’s venture fund. Jeff has served as an Entrepreneur-in-Residence at the University of Washington, Washington State University, and Oregon State University. Jeff was a general partner of Efund LLC, a venture capital fund focused on early-stage software and telecom investments, and previously worked for US Venture Partners, one of the largest California-based venture capital firms. Before moving to Seattle in 1995, Mr. Canin was a Senior Technology Analyst with Salomon Brothers, Inc. and Hambrecht & Quist. Previously, he served as a Marketing Representative with IBM’s National Accounts Division. Jeff Canin has an MBA in Marketing and International Business from the University of California at Berkeley, CA and a Bachelors Degree in Engineering and Economics from Brown University.

Panel 2: Moving From Academia to Industry

Jared Silvia, Ph.D.
Director, Product Management and Marketing at Doosan GridTech
Jared has dedicated his career to developing solutions to the most challenging problems in the energy sector by combining a strong technical background, experience solving formidable business impasses, and a pragmatic perspective on how to drive change. Charged with identifying new product segments and bringing our software solutions to market, he brings an inquisitive mind to all facets of his role stemming from his years as a senior consultant at McKinsey & Company and his earlier training as a research scientist at two of the world’s most renowned scientific institutions. He holds a Ph.D. in Inorganic Chemistry from MIT, a MPhil in Chemistry from the University of Cambridge, and a B.S. in Chemistry and Biochemistry from the University of Washington.

Rachel Wagner-Kaiser, Ph.D.
Data Scientist at KPMG, Data & Analytics Lighthouse
Rachel Wagner-Kaiser received her Ph.D. in Astronomy and Astrophysics in 2016 from the University of Florida, where she focused on using Bayesian analysis to characterize galactic globular cluster attributes. She worked at Insight Data Science, where she designed Crash Catcher, a machine learning algorithm that classifies dash cam footage containing an accident with over 80% accuracy. Rachel started working as a Data Scientist at KPMG in November of 2017.

Katy Briggs
Head of the Asset Optimization section at DNV GL Renewables Advisory
Katy Briggs has over 13 years of engineering experience, including 10 years working in the wind energy industry at DNV GL. She leads a team of engineers focused on wind energy performance analysis, availability, and wind turbine reliability. She is also involved in operations and maintenance cost modeling, cost benchmarking, and O&M strategy assessment. She has a Master’s degree in Physics from UW and a BS degree in Physics from Pacific Lutheran University.