{"id":29460,"date":"2019-11-01T14:21:12","date_gmt":"2019-11-01T14:21:12","guid":{"rendered":"http:\/\/d45h139.public.uconn.edu\/sites\/news\/?p=29460"},"modified":"2024-09-10T13:13:52","modified_gmt":"2024-09-10T17:13:52","slug":"faculty-qa-peters-important-collaborations-with-ibm","status":"publish","type":"post","link":"https:\/\/today.uconn.edu\/2019\/11\/faculty-qa-peters-important-collaborations-with-ibm\/","title":{"rendered":"Faculty Q+A: Peters’ Important Collaborations with IBM"},"content":{"rendered":"
\u00a0<\/div>\n Some of the computer simulations done by Peters with IBM. (Credit: Thomas Peters)\n

 <\/p>\n

By: Eli Freund, Editorial Communications Manager, UConn School of Engineering<\/strong><\/p>\n

Dr. Thomas J. Peters, a professor of computer science and mathematics, who has been with the University of Connecticut for 30 years, has centered his research on computational topology, computer graphics, and scientific visualization, leading to some interesting collaborations.<\/p>\n

One of those collaborations, which has been going on for over a decade, has been with IBM, which has brought compelling results. In a Q+A, Peters describes his work and relationship with one of the largest computing companies in the world.<\/p>\n

 <\/p>\n

    \n
  1. When did this collaboration with IBM start? How were you introduced to their University Award Programs?<\/strong><\/li>\n<\/ol>\n

    The collaboration started in 2003 and continues through today, with my first awareness of their university programs in 2005.\u00a0 I first met my primary IBM collaborator, Dr. K. E. Jordan, when we\u00a0were co-organizing a SIAM conference, Mathematics for Industry.<\/p>\n

      \n
    1. Describe your research relating to micelles. What were you trying to figure out and how do the learnings from your research effect the industrial world?<\/strong><\/li>\n<\/ol>\n

      We create novel topological analyses to understand chemical changes that arise from instantaneous changes in shape.\u00a0 <\/em>The predictive mathematics is subtle.\u00a0 Our previously published topological algorithms to predict protein misfolding are being extended to micelles.\u00a0 The long-term goal is to improve the chemical engineering of micelles for applications for consumers (cosmetics, foods) and industry (petroleum extraction).\u00a0 Our topological algorithms were previously developed to identify when molecular backbones could self-intersect and fracture, essentially the inverse operation of the step transform, where <\/em>disjoint micelles merge.\u00a0<\/p>\n

        \n
      1. Why was this work important to IBM?<\/strong><\/li>\n<\/ol>\n

        The micelles are poorly understood and hard to analyze, yet have significant impact in consumer products and industrial applications.\u00a0 Unilever, which has a significant presence in Connecticut, has considerable interest in this discovery, which IBM can accelerate by innovative simulation algorithms on world-class supercomputers.<\/p>\n

          \n
        1. In addition to the grants you received from IBM, were there any other major resources you received from them that has been helpful to your research?<\/strong><\/li>\n<\/ol>\n

          I have free access to their OpenPower supercomputers, consistently ranked among the top-five,\u00a0worldwide.\u00a0 As an IBM OpenPower Professor, I also provide that access to students.<\/p>\n

          It is amazing to see their conceptual algorithmic design creativity expand with realization of\u00a0essentially infinitely many processors, rather than being bound by the limits of a laptop. In\u00a02018-2019, this supercomputer time was conservatively estimated as $250,000, priced at $400 per hour.\u00a0 The availability of well-curated, reliable data is crucial to advances in data science but is often difficult to obtain.\u00a0 IBM Research readily provides such simulation data for our computational experiments and analysis validations.\u00a0 In 2018-2019, this is estimated to have been worth $50,000.\u00a0 I have enjoyed similar contributions for over a decade.<\/p>\n

          I was invited to attend IBM-MIT AI Week in Cambridge, MA.\u00a0 This event was by invitation-only and featured exchanges with world leaders, such as a recent Turing Award winner.\u00a0 I\u00a0have already injected the knowledge gained into my research and classes.\u00a0 Additionally, IBM offers on-line educational resources of their Academic Initiative (educational tutorials), Skills Academy (focused on emerging technologies) and an access program to work on IBM’s Cloud at no cost.\u00a0 I have already used some of their quantum computing educational materials in my graduate algorithms class, as well as in my own research on `fragile topology’ for modeling quantum superconducting surfaces.<\/p>\n

            \n
          1. How has IBM been as an industrial partner?<\/strong><\/li>\n<\/ol>\n

            Fantastic. I have been welcomed to their research labs, collaborated freely with their key scientists and fully supported by their administrative staff.\u00a0 Also, their awards are given in recognition of research accomplishment, not specifically proposed projects, so the money comes with `no strings attached.’ \u00a0That flexibility is prized for facile response to dynamically changing research conditions. Intellectual property agreements were easily completed and there are no required deliverables.<\/p>\n

            Award consideration is by nomination, first by my primary collaborator, Dr. Kirk E. Jordan, IBM\u00a0Distinguished Engineer, Data Centric Solutions; IBM T.J. Watson Research Chief Science Officer;\u00a0IBM Research UK Member, IBM Academy of Technology.\u00a0 It was reviewed by a senior executive team, including the IBM Executive Vice President, Dr. John Kelly III, who reports directly to the President and Chairman of IBM Corporation.\u00a0 It was also reviewed by many of the uppermost technical leaders and executives of IBM, in a rigorous vetting process of 34 major steps.<\/p>\n

              \n
            1. In your opinion, how important is it for large companies to have programs like IBM\u2019s, which bridge the gap between industry and academia?<\/strong><\/li>\n<\/ol>\n

              I think such relationships are great for both sides, advancing university knowledge and accelerating business goals.\u00a0 I was formerly a senior scientist at a high-tech Fortune 500 company and advocated strongly for funding interaction with academia.<\/p>\n

                \n
              1. Beyond your current funding with IBM, do you see this as a long-term partnership, for years to come? If so, what other research would you want to partner with them on?<\/strong><\/li>\n<\/ol>\n

                This has already been a partnership exceeding 15 years, with Faculty Awards, Graduate StudentFellowships, an Open Collaborative Research Award and a Shared University Research Award.\u00a0 We are planning future work on knot theory, machine learning and quantum computing.<\/p>\n

                For more information on Peters and his research, please visit: https:\/\/tpeters.engr.uconn.edu<\/p>\n","protected":false},"excerpt":{"rendered":"

                Dr. Thomas J. Peters, a professor of computer science and mathematics, who has been with the University of Connecticut for 30 years, has centered his research on computational topology, computer graphics, and scientific visualization, leading to some interesting collaborations. One of those collaborations, which has been going on for over a decade, has been with IBM, which has brought interesting results.<\/p>\n","protected":false},"author":122,"featured_media":218370,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_crdt_document":"","wds_primary_category":0,"wds_primary_series":0,"wds_primary_attribution":0,"footnotes":""},"categories":[1866],"tags":[],"magazine-issues":[],"coauthors":[49],"class_list":["post-29460","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-engr"],"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-04-10 18:49:36","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/posts\/29460","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/users\/122"}],"replies":[{"embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/comments?post=29460"}],"version-history":[{"count":1,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/posts\/29460\/revisions"}],"predecessor-version":[{"id":218374,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/posts\/29460\/revisions\/218374"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/media\/218370"}],"wp:attachment":[{"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/media?parent=29460"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/categories?post=29460"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/tags?post=29460"},{"taxonomy":"magazine-issue","embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/magazine-issues?post=29460"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/today.uconn.edu\/wp-rest\/wp\/v2\/coauthors?post=29460"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}