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Prof. Ann Armstrong
Northcentral University, USA |
With experience in business and education, I
provide consulting/coaching/mentoring services. An expert in instructional
technology/design, adult learning/leadership, project management, and eLearning.
Research interests include qualitative, design/development case study,
phenomenology, and the Nominal Group Technique (NGT), I am a certified Dale
Carnegie facilitator and a Quality Matters Peer Reviewer. My career includes
executive director at Columbia Teachers College starting the Columbia Coaching
Certification and the first online master’s degree; an eBusiness/eLearning
executive at IBM delivering the first global asynchronous learning program to
10,000 leaders; and a VP of Ernst & Young's Intellinex/eLearning Practice
implementing blended learning solutions for over 210,000 global employees. I am
a certified IBM consultant and a confirmed IBM principal.
A Full Profession at Northcentral University in the School of Education, I am
published in peer-reviewed journals and received the Academy of Human Resource
Development (AHRD) cutting edge, top ten papers award. I have several recent
book chapters, articles, and conference proceedings for eLearn, AHRD, AACE, and
AECT. I received my EdD and EdM in instructional technology and media from
Teachers College, Columbia University; MA degree from Fairfield University in
instructional design; MA degree in economics from University of Cincinnati; and
MBA in Project Management from Capella University.
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Assoc. Prof. Lior Shamir
Kansas Stste University, USA |
Lior Shamir received a Bachelor’s degree computer
science from Tel Aviv University in 1998. He received an M.S. degree in 2003
from Open University and Ph.D from Michigan Technological University in 2006. He
did his postdoc work at the National Institute on Aging of the National
Institutes of Health (NIH). He has eight years of experience in the software and
technology industry in various positions, from a programmer to a Chief
Technology Officer (CTO).
Lior’s research focuses on data science. His approach to data science is
holistic, combining a broad range of methods in machine learning, soft
computing, and computational statistics to develop new paradigms that can turn
data into knowledge and scientific discoveries. The other part of his research
is the application of the data science methodology to data from a large number
of disciplines. In addition to basic and applied research in data science, he
also works on advancing inclusion in higher education, making higher education
more accessible to underrepresented and underserved populations in STEM.
Shamir is primary author of nearly 100 peer-reviewed publications, and a
co-author of many more, most of them in tier-1 journals. He has more than 2000
citations, an h-index of 23, and i-10 index of 43 according to Google Scholar.
He received over $5M in external funding (of which over $2M as PI), from various
competitive sources, including the ultra-competitive Howard Hughes Medical
Institute (HHMI). He serves as a reviewer for over 50 journals, and his work is
very often mentioned in the world’s premier mainstream media.
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