Ted Volk

Ted VolkI am a career software developer and systems architect. My experience includes developing business and engineering applications, working on all stages of their life cycle – from feasibility analysis to integration testing. I taught computer programming to children and adults in different classroom and online settings. At NHCC, besides teaching, I participate in updating the CSci curriculum.

Besides reinforcing the students’ computational thinking, I encourage them to capitalize on the searchable knowledge on how to build functional and robust IT solutions. I try to instill in them the techniques and best practices of commercial software development. After taking a Computer Science class or two, involving plenty of
detailed-oriented brainwork, my students can realistically assess if there is enough fit to pursue a career in information technology.

For those already working in the industry, I provide an opportunity to take an Internship class structured as series of professional consultations targeting their real workplace projects (preserving confidentiality of their proprietary information) .

Among the activities I enjoy in my limited free time, are hiking in the forests,traveling to far-away places to enjoy outstanding urban architecture or magnificent nature, and, occasionally, watching movies (even CSci-related, like 'Her' or 'Robot & Frank').

Industry News 
new algorithmNew algorithm identifies data subsets that will yield the most reliable predictions


Much artificial-intelligence research addresses the problem of making predictions based on large data sets. An obvious example is the recommendation engines at retail sites like Amazon and Netflix.
Tool to better visualize, analyze human genomic data developedA new, web-based tool that enables researchers to quickly and easily visualize and compare large amounts of genomic information resulting from high-throughput sequencing experiments has been developed by researchers.
New prosthetic arm controlled by neural messagesA new prosthetic system aims to identify the memory of movement in the amputee’s brain in order to manipulate the device. Controlling a prosthetic arm by just imagining a motion may now be possible.
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