Mike Borowczak
Mike Borowczak is the chief scientist and founder of Erebus Labs - a Hardware, Software and Cyber-Security Research & Development firm that also provides K20 STEM+CS outreach. He is also a Data Scientist at a Boulder based tech startup focused on anomaly detection in human and automated data sources. Mike earned his PhD in Computer Science and Engineering as well as his BS in Computer Engineering from the University of Cincinnati. His research focused on detection and prevention of information leakage from hardware side channels. Mike’s current research interests include developing homomorphic encryption, compression and parallelized algorithms for streaming and pseudo-streaming data sources.
Mike also has over a decade of industry and research experience - mostly revolving around the semiconductor and bio-informatics industries - with specific experience at Texas Instruments, Intel and Cincinnati Children's Hospital Medical Center. In industry, Mike has worked as a programmer, hardware designer, hardware security architect and a data scientist.
In addition to his industry experience, Mike spent two years, while completing his PhD, as a National Science Foundation GK-12 fellow - teaching and bringing real-word STEM applications in two urban high schools. Since then, he has worked with university faculty to promote and extend K20 STEM outreach in Ohio, Oregon, Texas and Wyoming. He has authored peer-reviewed articles and papers, presented at national and international conferences, and taught undergraduate/graduate courses in Hardware Security and VLSI as well as STEM Education and Outreach. Mike is an executive committee member of the IEEE Computer Society’s Technical Committee on VLSI, as well as an active member of the IEEE, ASEE, ASTE, among others.
Supervisors: Ranga Vemuri, George Purdy, Carla Purdy, and Wen Ben Jone
Address: PO Box 1554
Laramie, WY 82073
Mike also has over a decade of industry and research experience - mostly revolving around the semiconductor and bio-informatics industries - with specific experience at Texas Instruments, Intel and Cincinnati Children's Hospital Medical Center. In industry, Mike has worked as a programmer, hardware designer, hardware security architect and a data scientist.
In addition to his industry experience, Mike spent two years, while completing his PhD, as a National Science Foundation GK-12 fellow - teaching and bringing real-word STEM applications in two urban high schools. Since then, he has worked with university faculty to promote and extend K20 STEM outreach in Ohio, Oregon, Texas and Wyoming. He has authored peer-reviewed articles and papers, presented at national and international conferences, and taught undergraduate/graduate courses in Hardware Security and VLSI as well as STEM Education and Outreach. Mike is an executive committee member of the IEEE Computer Society’s Technical Committee on VLSI, as well as an active member of the IEEE, ASEE, ASTE, among others.
Supervisors: Ranga Vemuri, George Purdy, Carla Purdy, and Wen Ben Jone
Address: PO Box 1554
Laramie, WY 82073
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Journal Articles by Mike Borowczak
http://www.citejournal.org/volume-16/issue-2-16/science/enabling-collaboration-and-video-assessment-exposing-trends-in-science-preservice-teachers-assessments/
This article details a new, free resource for continuous video assessment named YouDemo. The tool enables real time rating of uploaded YouTube videos for use in science, technology, engineering, and mathematics (STEM) education and beyond. The authors discuss trends of preservice science teachers’ assessments of self- and peer-created videos using the tool. The trends were identified from over 900 assessments of 170 videos, with over 131 unique users. Included in this data set is a 2-year study focusing on 27 preservice science teachers (from a 5-year study of 76 total science preservice teachers) and their use of the tool. The authors collected both quantitative (numerical scores) and qualitative data (open-ended questions) from the 27 participants. Findings show that (a) rating two metrics had a non-zero bias between the two metrics; (b) preservice teachers found continuous video rating beneficial in enabling video assessment, promoting critical thinking, and increasing engagement; and (c) preservice teacher’s self-assessment was uncorrelated with their peers’ assessment. Additionally, the elements to enable skill improvement were met, including (a) a well defined task, (b) a challenging task, (c) immediate feedback, (d) error correction, and (e) practice. Implications include improvement in preservice teacher reflection and discussions, especially related to STEM content and pedagogy.
procedures to lazily generate a stream of tokens can be added to ANSI C++ merely by writing code in a style which uses classes to implement function closures. Coding in this style provides an easy way to handle infinite streams in C++, results in application layer implementations that closely resemble a problem’s specification, and can be applied to a wide
variety of problems in computer science.""
Computing Conference Proceedings by Mike Borowczak
Education Conference Proceedings by Mike Borowczak
http://www.citejournal.org/volume-16/issue-2-16/science/enabling-collaboration-and-video-assessment-exposing-trends-in-science-preservice-teachers-assessments/
This article details a new, free resource for continuous video assessment named YouDemo. The tool enables real time rating of uploaded YouTube videos for use in science, technology, engineering, and mathematics (STEM) education and beyond. The authors discuss trends of preservice science teachers’ assessments of self- and peer-created videos using the tool. The trends were identified from over 900 assessments of 170 videos, with over 131 unique users. Included in this data set is a 2-year study focusing on 27 preservice science teachers (from a 5-year study of 76 total science preservice teachers) and their use of the tool. The authors collected both quantitative (numerical scores) and qualitative data (open-ended questions) from the 27 participants. Findings show that (a) rating two metrics had a non-zero bias between the two metrics; (b) preservice teachers found continuous video rating beneficial in enabling video assessment, promoting critical thinking, and increasing engagement; and (c) preservice teacher’s self-assessment was uncorrelated with their peers’ assessment. Additionally, the elements to enable skill improvement were met, including (a) a well defined task, (b) a challenging task, (c) immediate feedback, (d) error correction, and (e) practice. Implications include improvement in preservice teacher reflection and discussions, especially related to STEM content and pedagogy.
procedures to lazily generate a stream of tokens can be added to ANSI C++ merely by writing code in a style which uses classes to implement function closures. Coding in this style provides an easy way to handle infinite streams in C++, results in application layer implementations that closely resemble a problem’s specification, and can be applied to a wide
variety of problems in computer science.""