Highlights of Russ Greiner's CV (2005) ===================================== + - - - - - - - - - - - - - - - - - - - - + | MOST SIGNIFICANT RESEARCH CONTRIBUTIONS | + - - - - - - - - - - - - - - - - - - - - + [[ Application pull ]] ** WebIC http://www.web-ic.com/ > a client-side Web recommender system that predicts the user's information need based on his browsing patterns, then points him to webpages, from essentially anywhere on the Web, that contain information useful to that user. [C7, C8 (Best Student Paper); O1, O10, O11, O12] ** several medical and bio-informatics results > using multiple SNPs to predict cancer [J4] > using properties of known homologues to predict properties (GO function, subcellular localization) of novel proteins [J2, J3, J5] > using NMR spectra to simulateously detect and quantify hundreds of metabolytes in complex bio-fluids (eg, urine) [J8] - my implementation is currently used by ChenomX > locating brain tumours within MRImages, then predicting their growth, to better determine appropriate radiation treatment [[ Many results use theoretical analysis to extend existing learning algorithms ]] ** Budgeted Learning > given a fixed budget to spend collecting training data, identifying which features of which training examples to collect, based on current results and costs of obtaining each feature [C1, C4; 02] ** Learning Discriminative Probabilistic Models > ELR ("structural Extension of Logistic Regression") produced better classification performance over wide range of domains [J1; C3, C9, C17] > learning good discriminative belief net structures [J7; C13 (RunnerUp, Best Paper), C16] + other results related to belief nets: . compute error-bars around belief net responses [C11] . model selection for generative models [C15] * PALO (stochastic hill-climbing algorithm) > perform a hill-climbing search when the "utility function", used to evaluate each agent's performance, can only be estimated by sampling > published theoretical results + many applications [eg, improving efficiency of Prolog program; robot navigation; ...] [J13, J14; C25, C27, C28, C29, C31 (Best Paper Prize); B4, B5] * Theory Revision > incrementally improves a good, but imperfect, domain theory > published theoretical analyses [J10, J11; C21, C23] > deployed applications based on "Delta" > 2 US patents issued ** Building image interpretation systems that are efficient, as well as accurate [C2, C5, C12; O3, O4, O5, 08] [[Many theoretical results that improve on standard learning framework:]] * Sequential learners: > using new techniques to improves on PAC-learning sample complexity bounds [C22, C24, B3] * Better ways to dealing with Missing Information > Determining which algorithms are appropriate for different "blocking" models (ie, different reasons why data is missing): * independent blocker [C26;B2] * malicious blocker * "irrelevance" blocker [J12,C20] > Building learners that can learn *active classifiers* that can actively request unspecified information [J6; C19] [[Other minor/dated results]] ACRONYM vision system, meta-level representation language (RLL, MRS), "Novelty", Analogical inference, Analysis of EBL, Dynamic observers (control theory), signal processing, AndOr trees, Predicting unix commands, Pathology in search, Focus within Reinforcement learning, ...] [[Bean counting:]] 21+3 articles in refereed journals (11 in "Artificial Intelligence") 4 edited books, special issues of journals 40 "real" conference articles including 2 BestPapers and 1 RunnerUp 41 other (lightly refereed) publications + - - - - - + | FUNDING: | + - - - - - + * Founding Director of Alberta Ingenuity Centre for Machine Learning (funding at > $1.2M / year) * Currently participating in grants of > $5M / year [I was instrumental in bringing in ~ $3M/year ] + - - - - - + | SERVICE: | + - - - - - + * Program (co)Chair of ICML'04 [E1] * Program (co)Chair of AI&MATH 97 [E2] * Program Chair, CLNL'96 [E4] * Instrumental in bringing several major conferences to Edmonton in 2002 [AAAI (1200 attendees -- first time outside US), ISMB (1600), UAI (350), ... and also helped on several others] > I served as local arrangements chair for AAAI, ISMB, UAI > These conferences were universally regarded as tremendous successes. * AIxploratorium: an on-line interactive resource for AI + (co)organized successful IJCAI'01 workshop on this topic * (co)Editor-in-Chief, Computational Intelligence, 2001-present revitalized this journal by changing its direction, to identify nitches not currently occupied by the other leading AI journals * On several editorial boards (MachineLearning J, J of AI Research, J of MachineLearning Research, ...) * Chaired several workshops/symposia * Served on (Senior) Program Committees for many (inter)national conferences: AAAI, IJCAI, UAI, ICML, CIRA, AI+Math, CSCSI, UserModeling, ... + many workshops, symposia, ... * Reviewed for (too) many journals, conferences, funders, etc: AIJ, Comp.Opt.&Appl, IEEE PAMI, IEEE SMC, J.ACM, J.Logic Program, NIPS, FOCS, NSERC, NSF, ACM Thesis, ... + - - - - - - - - - + | Other Activities: | + - - - - - - - - - + * Set the direction for several lines of research at Siemens Corporate Research * Invited talks at + IJCAI + Royce Conference + > 50 at universities around the world + > 20 public presentations to lay audiences, including several radio and TV presentations