Curriculum Vitae

Personal

Name:	Marcus Hutter
Occupation:	Associate Professor
Education:	Dr.rer.nat.habil.dipl.inf.univ. [2×BSc,MSc,PhD,Habil]
Main Interests:	Science and Philosophy
HomePage:	www.hutter1.net
Email:	marcus.hutter@gmx.net
Nationality:	German

[The links in the online version at http://www.hutter1.net/official/vitae.htm provide more details]

Short Biography

Marcus Hutter, is Associate Professor in the Research School of Information Sciences and Engineering (RSISE) at the Australian National University in Canberra, Australia, and Senior Researcher in the National Information and Communication Technology of Australia (NICTA). He is also chair of the ongoing Human Knowledge Compression Contest and sponsor of the 50'000 € H-prize. He received a Masters degree in computer science in 1992 from the University of Technology in Munich, Germany, a PhD in theoretical particle physics in 1996, and completed his Habilitation in 2003. He worked as an active software developer for various companies in several areas for many years, before he started his academic career in 2000 at the Artificial Intelligence (AI) institute IDSIA in Lugano, Switzerland, where he stayed for six years. His first large project, which received national attention, was a complete 3D CAD program for 8 bit computers in Assembler, which he developed during his last high school year. In his final four years in industry, he developed various algorithms for a medical software company, which are still used in products sold world-wide. Since 2000, he has mainly worked on fundamental questions in AI, which has resulted in over 50 peer-reviewed research publications. His book "Universal Artificial Intelligence" (Springer, EATCS, 2005) lays down the information-theoretic foundations of inductive reasoning and reinforcement learning, and develops the first sound and complete theory of AI. This work has been generously supported by various (mostly Swiss) research grants. His general interests are in universal artificial intelligence, theories of everything, statistics, philosophy of science, and mathematical and physical puzzles. His current research is centered around reinforcement learning, algorithmic information theory and statistics, universal induction schemes, adaptive control theory, and related areas. He served (as PC member, chair, organizer) for numerous conferences, and reviews for all major conferences and journals in his research areas. He gave (invited) lectures at numerous universities, institutions, conferences, workshops, and companies. In 2007 he received the Lindley prize for innovative research in Bayesian Statistics, and was the 1st runner up for the 2009 Kurzweil Prize for the best AGI Paper.

Summary

Main Interests:	Universal Artificial Intelligence, Physical Theory of Everything, Mathematical and Physical Puzzles, Statistics, Theoretical Computer Science, Numerical Algorithms, Computer Vision&Graphics, Philosophy.
Degrees:	BSc&PhD in physics, BSc&MSc&Habil(≈2.PhD) in informatics.
Publications in	diverse fields (2 books, >20 jrnl, >25 intl.conf., >30 other). See separate "List of Publications".
Patents on:	Image enhancement and post-antialiasing algorithms. (EP1184812 and US2002041701)
Press coverage:	NewScientist, Le Monde de l'intelligence, Ticino Ricerca, Tech.Research News, KurzweilAI&Slashdot, SuperEva, AGI list.
Editor of	Scholarpedia AIT, JAGI.
Reviewer of journals	IEEE (TPAMI, TIT, TSP, SMC, TEC), Elsevier (TCS, I&C, JCSS, IPL, IJAR, SIMPAT), Springer (MLJ, Algorithmica, M&M), Others (JMLR, JAIR, JBSB, FI, SS, Entropy, ...).
Reviewer of conferences	STACS, NIPS, COLT, ALT, ICANN, CATS, Benelearn, ACC, ...
PC Member of	UAI 2010, UAI 2009, AusAI 2008. AGI 2008, AISTATS 2007, ALT 2006& 2008, COLT 2005& 2007, Benelearn 2002& 2004& 2005& 2006,
PC CoChair of	AGI 2009 (steering committee member since then), ALT 2007.
Expert assessor for	the Australian Research Council (ARC).
(Co)Organizer of	Algorithmic Learning Theory in Canberra (ALT 2010), General Chair Machine Learning Summer School in Canberra (MLSS 2010), Artificial General Intelligence in Lugano (AGI 2010), General Chair Partially Observable Reinforcement Learning Symposium in Vancouver (PORL 2009), Artificial General Intelligence in Washington (AGI 2009), Machine Learning Summer School in Kioloa (MLSS 2008), Kolmogorov Complexity Seminar in Dagstuhl (KC 2006), Theory Reading Group in Lugano (TRG 2004-2005), Universal Learning & Optimal Search Workshop at NIPS (ULAOS 2002).
Research grants:	SNF (SFr 248'772,-) and SNF (SFr 273'616,-) and SNF (SFr 193'680,-) and SNF (SFr 92'730,-) and CE (A$180'000,-) and ARC (A$240'000,-).
Moderator of	the Algorithmic Information Theory mailing list.
Member of the	International Society for Bayesian Analysis, Public Library of Science (supporter of PLoS), German Physics Society, Mensa in Deutschland (MinD).
Associate Professor at	RSISE at the Australian National University (since 2006)
Senior researcher & project leader at	IDSIA (6 years fulltime)
Software developer & project leader at	various companies (>5 years fulltime)
Supervisor of	5 PhD & 6 MSc & 7 BSc/honors/intern students & 4 PostDocs.
Lectures at	numerous universities, institutions, conferences, workshops and companies. See separate "List of Lectures".
Private tuition	during 1988-1994 of high school and university students.
Awards/honors	2009: Kurzweil Best Agi Paper Prize (1st runner up). 2007: Lindley prize (Bayesian Statistics Conference, 326 submissions). 2003: Kolmogorov medal (to K's centennial, not the annual award). 1987: 3rd prize in the "German National Olympics in Math", 1986: 2nd prize in the "German National Olympics in Math".

Experience

Artificial Intelligence:	reinforcement/machine learning, algorithmic complexity, optimization, game theory, genetic algorithms, neural nets, Bayesian/robust/expert/MDL/online/sequence prediction.
Engineering:	information theory, adaptive control, time-series forecasting, electronics.
Physics:	non-perturbative quantum field theory, QCD, solitons and instantons, statistical physics, path integrals, anomaly, quark and meson masses, string and brane theory.
Medical:	PencilBeam dose algorithm for radiotherapy and IMRT, Brachytherapy, ct/mr imaging.
Numerics:	Monte Carlo, simulated annealing, multidimensional optimization, 2D FFT, finite elements, 1-3d splines, advanced interpolation.
Computer Graphics:	volume & surface rendering.
Image Processing:	segmentation, smoothing (patented), recognition, 2d-3d registration.
Statistics:	probability, Bayes, model selection, sequential decisions.
Mathematics:	optimization, control, algebra, discrete math.
Programming Languages:	C++, Pascal, Prolog, Fortran, DBase, Forth, Lisp, Basic, Assembler, Html.
Operating Systems:	Windows, Unix, VMS.
Tools:	Visual C++, LaTeX, Maple, Numerical recipes, Excel, Corel Draw, Word, etc.

Professional Career

2006 - today	Associate Professor in the Research School of Information Sciences and Engineering (RSISE) at the Australian National University (ANU) and senior researcher in the National Information and Communication Technology of Australia (NICTA).
2003/2004	Lecturer at Munich University of Technology, Germany
10.2000 - 2006	Senior researcher and project leader at IDSIA (Research Insitute for Artificial Intelligence) in Lugano-Manno, Switzerland
05.1996 - 09.2000	Software developer and project leader at BrainLAB: (Occupation: Numerical algorithms in medical field)
	Development of a Neuro-Navigation system, a Brachytherapy planning system, a dose algorithm (PencilBeam) for radiotherapy for IMRT, a real time software volume renderer, various image processing modules. Invention of a new image enhancement and post-antialiasing algorithm (patented). Supervision of Diploma theses in computer science, ...
08.1992 - 04.1993	Design & implementation of a protection module+organization for licensing programs in C (IABG)
06.1987 - 10.1987	Implementation of a user interface for an expert system - under GEM (IABG)
02.1986 - 01.1987	Design & implementation of a 3D-CAD-Program in Assembler (Markt & Technik)
03.1983 - 06.1983	Programming of a member organization program in DBase (Steuerberater Keller)

Degrees in Physics (BSc & PhD)

March 1996	Ph.D. Thesis Defense (Rigorosum) - Grade: "very good"
1993 - 1995	PhD Thesis in Theoretical Particle Physics on "Instantons in QCD" at the University (LMU) in Munich.    Supervisor: Prof. H. Fritzsch.
Workshops:	Corfu: Elementary Particle Physics.
Scientific Field Trips:	Israel (Tel Aviv) and CERN.
Others	Supervise Diploma theses in physics.
	Tutor in Theoretical Mechanics. Tutor in Quantum Field Theory.
1989 - 1993	General Physics at the University of Technology in Munich.
November 1990	Bachelor (Vordiplom) - Grade: "very good"
Academy in Maria Laach:	Numerical methods of the mechanics of fluids.

Degrees in Computer Science (BSc & MSc & Habil)

June 2003	Habilitation (2nd PhD) at TU-Munich. Thesis: Optimal Sequential Decisions based on Algorithmic Probability
1987 - 1992	Computer Science with Minors in Mathematics at the University of Technology in Munich
May 1992	Masters (Diploma) Degree - Grade: "very good"
Masters (Diploma) Thesis:	Implementation of a Classifier system
November 1989	Bachelor (Vordiplom) - Grade: "very good" Main area of study: Artificial Intelligence, Neuronal Nets, Genetic Algorithms
Others:	Tutor in Linear Algebra