HUMAN-CENTERED AI …
needs a concerted international effort without boundaries, supporting collaborative and integrative research between experts from seven fields: ❶ data science, ❷ algorithms, ❸ network science, ❹ graphs/topology, ❺ time/entropy, ❻ visualization, and ❼ privacy, data protection, safety and security.
The use of Artificial Intelligence (AI) powered by Machine Learning (ML) in domains that impact human life (agriculture, climate, forestry, health, …) has led to an increased demand for trustworthy AI. The international expert community is working together on generic methods to promote robustness and explainability to foster secure AI solutions and advocate a synergistic approach to provide human control over AI and to align AI with human values, ethical principles, and legal requirements to ensure privacy, security, and safety.
A synergistic combination of methodologies and approaches of seven different areas must work jointly together to accompany the entire value chain and so that human intelligence can be supported and augmented by computational intelligence. Historically the Human-Centered AI approach with the mission of augmenting human intelligence with articial intelligence results from two large and successful scientific communities: Human-Computer Interaction (HCI) dealing with human intelligence and Knowledge Discovery/Data Mining (KDD) dealing with computational intelligence – always ensuring privacy, security, and safety:
The knowledge discovery pipeline needs a concerted cross-disciplinary effort of diverse experts
The cross-domain integration and appraisal of different fields shall provide an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to support crazy ideas – and at the end of the day to put these ideas into Business. The initial idea can be read [here],<springerlink>.
The mission of the international expert network HCI-KDD is to bring together diverse researchers sharing a common vision and to stimulate crazy ideas and a fresh look to methodologies from other disciplines without any boundaries, encouraging multi-disciplinary work, to bundle synergies, to participate in joint project proposals for getting funding on various levels, inclusive travel funds, international student exchange and promoting young and early-stage researchers.
The expert network HCAI founded in 2011 organizes special sessions at least once a year, see e.g. [1st – Graz], [2nd – Macau], [3rd – Maribor], [4th – Regensburg], [5th Lisbon], [6th Warszawa], [7th Banff], [8th London], [9th Salzburg], [10a Reggio di Calabria][10b Reggio di Calabria], and ultimately resulted in 2017 in the CD-MAKE: International Cross-Domain Conference for Machine Learning and Knowledge Extraction
MAKE Machine Learning and Knowledge Extraction is the workhorse of Artificial Intelligence !
CD stands for Cross Domain to emphasize the cross-cutting aspect of MAKE.
Some recent example outputs of our concerted effort can be seen here:
Springer Lecture Notes in Computer Science LNCS 11713
Springer Lecture Notes in Computer Science LNCS 11015
Springer Lecture Notes in Computer Science LNCS 10410
Springer Lecture Notes in Artificial Intelligence LNAI 9605
Springer Lecture Notes in Computer Science LNCS 8700
Springer Lecture Notes in Computer Science LNCS 8401
Springer Lecture Notes in Computer Science LNCS 7947
Springer Lecture Notes in Computer Science LNCS 7058
Springer Lecture Notes in Computer Science LNCS 6389
Integrative Machine Learning needs a concerted effort
International Scientific Committee:
MED = Medical Doctor (“doctor-in-the-loop”); IND = Industry Member; ESR = Early Stage Researcher, e.g. PhD-Student)
- Rakesh AGRAWAL
Microsoft Search Labs, Mountain View, California, US
IND (1, 2, 7) Data mining, Web search, privacy - Beatrice ALEX
Institute for Language, Cognition & Computation, School of Informatics, University of Edinburgh, UK
(1) text mining, information extraction, NLP, computational linguistics - Amin ANJOMSHOAA, SENSEable City Laboratory, MIT – Massachusetts Institute of Technology, Cambridge, MA, US
(1, 2) <Semantic Web, cloud computing, linked open data> - Joel P. ARRAIS, Centre for Informatics and Systems, University of Coimbra, PT
(1, 2) <Bioinformatics, biomedical informatics, computational biology> - John A. ATKINSON-ABUTRIDY, Department of Computer Science, Universidad de Concepcion, CL
(1, 2) <Artificial intelligence, NLP, text Mining> - Chloe-Agathe AZENCOTT, Centre for Computational Biology (CBIO), Mines Paris Tech, FR
ESR (1, 2, 3) <Machine Learning, Computational Biology, Personalized Health> - Alexandra BALAHUR, European Commission Joint Research Centre, Ispra, IT
(1, 2) <Artificial Intelligence, NLP, computational linguistics> - Peter BAK, IBM Haifa Research Lab, Mount Carmel, IL
IND (6) <information visualization, visual analytics, spatiotemporal data analysis> - Robert BAUMGARTNER, Lixto Web Information Extraction, Vienna, AT
IND (1,2) Web information extraction - Smaranda BELCIUG, Dep. Computer Science, Faculty of Mathematics & Computer Science, University of Craiova, RO
(2) <Artificial intelligence, genetic algorithms, data mining, statistics, neural networks> - Andreas BENDER, Unilever Centre for Molecular Science Informatics, Cambridge, UK
IND (3) <Cheminformatics, drug design, chemogenomics> - Mounir BEN AYED, Research Group Intelligent Machines, Ecole Nationale d’Ingenieurs de Sfax, TN
(1, 2) <Decision support systems, data mining, HCI, KDD> - Elisa BERTINO, Department of Computer Science, Purdue University, West Lafayette, US
(1, 7) <database systems, computer security, data privacy> - Chris BIEMANN, Language Technology Group, FB Informatik, Technische Universität Darmstadt, DE
(1, 2) <information retrieval, natural language processing, computational linguistics, cognitive computing> - Miroslaw BOBER, Department of Electronic Engineering, University of Surrey, Guildford, UK
(2, 6) <Computer vision, machine learning, multimedia> - Rainer BOEHME, Security and Privacy Lab, Institute of Computer Science, Innsbruck University, AT
(7) <privacy, information security, digital forensics, privacy-enhancing technology> - Matt-Mouley BOUAMRANE, Institute of Health and Wellbeing, University of Strathclyde, Glasgow, UK
(1, 6) <eHealth, health informatics, knowledge engineering, decision support systems, HCI> - Francesco BUCCAFURRI, Security and Social Networks Group, Universita Mediterranea die Reggio Calabria, IT
(1, 3, 7) <Social Networks, Information security and privacy, artificial intelligence> - Andre CALERO-VALDEZ, RWTH Aachen University, Aachen, DE
ESR (3 ,6) <Networks, Scientometrics, information visualization, HCI> - Mirko CESARINI, Department of Statistics and Quantitative Methods, Università di Milano Bicocca, Milan, IT
(1, 2) <data quality, data analysis, data integration, business intelligence, information systems> - Polo CHAU, School of Computational Science and Engineering, College of Computing, Georgia Tech, Atlanta, US
(2, 3, 6) <data mining, fraud detection, visualization, HCI> - Chaomei CHEN, College of Information Science and Technology, Drexel University, Philadelphia, US
(6) <information visualization, visual analytics, scientometrics> - Elizabeth S. CHEN, Center for Biomedical Informatics, Brown University, Providence, RI, US
(1) <Biomedical informatics, electronic health records, standards, NLP, data mining> - Veronika CHEPLYGINA, Biomedical Imaging Group, Erasmus Medical Center, Rotterdam, NL
ESR (1, 2) <machine learning, pattern recognition, medical image analysis, computer aided diagnosis> - Nitesh V. CHAWLA, Data, Inference, Analytics and Learning Lab, University of Notre Dame, Notre Dame, IN, US
(1, 2, 3) <Data mining, machine learning, network science, healthcare analytics> - Anni R. CODEN, IBM T.J. Watson Research Center Hawthorne, NY, US
IND (1, 2) machine learning, text and image analytics - Gloria Cerasela CRISAN, Faculty of Sciences, Vasile Alecsandri University of Bacau, RO
(2) <artificial intelligence> - Matthias DEHMER, University for Health and Medical Informatics Tyrol, Innsbruck, AT
(2, 3, 4, 5) <Systems biology, bioinformatics, complex networks> - Alexiei DINGLI, Intelligent Systems Technologies Research Group, Univeristy of Malta, Valletta, MT
(1, 2) <Artificial intelligence, semantic Web, mobile technology> - Tomasz DONAROWICZ, Institute of Mathematics and Computer Science, Wroclaw University of Technology, PL
(4, 5) entropy, topological entropy<entropy, topological=”” entropy=””><entropy, topological=”” entropy=””></entropy,></entropy,> - Mike DUERR-SPECHT, Emergency Doctor, Duke University Hospital, Durham, North Carolina, US
MED emergency doctor, - Max J. EGENHOFER, Center for Geographic Information and Analysis, University of Maine, Orono, ME, US
(3, 4) <spatial informatics, spatial reasoning, geographic information systems> - Kapetanios EPAMINONDAS, Computer Science and Software Engineering Department, University of Westminster, London, UK
(1, 2) <Knowledge engineering, ontologies, semantic computing, NLP> - Massimo FERRI, Department of Mathematics, University of Bologna, IT
(3, 4) <computational topology, persistent homology> - Sara JOHANSSON FERNSTAD, Computer Science and Digital Technologies, Northumbria University, Newcastle, UK
(6) <Visualization, Visual Analytics, Biological Visualization> - Ana FRED, Communication Theory and Pattern Recognition Group, IST – Technical University of Lisbon, PT
(2) <Pattern recognition, machine learning, biometrics, signal processing, biomedical applications> - Bogdan GABRYS, Smart Tech Research Centre, Computational Intelligence Group, Bournemouth University, UK
(2) <Computational intelligence, data science, complex adaptive systems, machine learning, predictive analytics> - Hugo GAMBOA, PLUX Wireless Biosensors, and Universidade Nova de Lisboa, PT
IND (1, 2) <machine learning, signal processing, instrumentation> - Aryya GANGOPADHYAY, UMBC Center of Cybersecurity, University of Maryland, Baltimore County, US
(1, 2, 7) <Health IT, data mining, privacy> - Panagiotis GERMANAKOS, Department of Computer Science, University of Cyprus, CY
(2, 6) <Computational intelligence, adaptive cognitive systems, user modeling, HCI> - Marie GUSTAFSSON FRIBERGER, Computer Science Department, Malmö University, SE
(1) <linked data, open data, semantic Web technologies, medical informatics> - Randy GOEBEL, Centre for Machine Learning, Department of Computer Science, University of Alberta, Edmonton, CA
(1, 2, 6) machine learning, data mining, NLP, data visualization, visual analytics - Bart GOETHALS, Advanced Database Research and Modelling, University of Antwerp, BE
(1, 2) <data mining, machine learning, big data analytics, data science> - Venu GOVINDARAJU, Department of Computer Science and Engineering, University at Buffalo, Amherst, NY, US
(1, 2) <Machine learning, biometrics, language technologies> - Leo GRADY, Heart Flow Inc., Redwood, California, US
IND (3, 6) <graph theory, medical imaging, computer vision> - Michael GRANITZER, Media Computer Science, University Passau, DE
(1, 6) <Information retrieval, NLP, visual analytics> - Dimitrios GUNOPULOS, Knowledge Discovery in Databases Lab, Department of Informatics, University of Athens, GR
(1, 2) <Data mining, data management, big data, Web mining, sensor networks> - Siegfried HANDSCHUH, Insight Centre for Data Analytics, NUI Galway, IE
(1,2) <Semantic Web, linked data, artificial intelligence, NLP> - Helwig HAUSER, Visualization Group, University of Bergen, NO
(6) <visualization> - Julian HEINRICH, Biodata Visualization team, CSIRO, AU
(6) <Visualization, parallel coordinates, bioinformatics> - Kristina HETTNE, BioSemantics group, Department of Human Genetics, Leiden University Medical Center, NL
(1) <Text mining, Semantic Web, Bioinformatics, Cheminformatics> - Rainer HOFMANN-WELLENHOF, Division of General Dermatology, Graz University Hospital, AT
MED – Dermato-Oncologist
- Andreas HOTHO, Data Mining and InformationRetrieval Group, University of Würzburg, DE
(1, 2) <Data science, data mining, information retrieval, Semantic Web mining> - Jun Luke HUAN, Computational Knowledge Discovery Lab, University of Kansas, Lawrence, US
(1, 2) <machine learning, data mining, data science, big data, bioinformatics> - Anthony HUNTER, Intelligent Systems Group, Department of Computer Science, UCL University College London, UK
(1, 2) <knowledge representation, reasoning, argumentation, inconsistency> - Beatriz De La IGLESIA, Knowledge Discovery & Data Mining Group, Computing Sciences, University of East Anglia, UK
(2) <artificial intelligence, data mining, optimization, business intelligence, health informatics> - Kalervo JAERVELIN, School of Information Science, University of Tampere, FI
(1) information retrieval, evalauation, interactive information retrieval - Igor JURISICA, IBM Life Sciences Discovery Centre, and Princess Margaret Cancer Centre, Toronto, CA
IND – (1, 2, 6) machine learning, knowledge discovery, bioinformatics, visualization, cancer informatics - Andreas KERREN, ISOVIS Group, Department of Computer Science, Linnaeus University, Växjö, SE
(3, 6) <graph drawing, visualization, visual analytics> - Jiri KLEMA, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, Prague, CZ
(1, 2) <machine learning, data mining, bioinformatics> - Peter KIESEBERG, SBA Research gGmbH – Secure Business Austria, Vienna, AT
ESR (7) <data security, safety, privacy, IT security, forensics> - Gudrun KLINKER, Computer Aided Medical Procedures & Augmented Reality, Technische Universität Munich, DE
(6) <augmented reality, virtual reality, 3D user interfaces, HCI> - Lubos KLUCAR, Bioinformatics Lab, Institute of Molecular Biology, Slovak Academy of Sciences, Bratislava, SK
(1, 3) biological data bases, protein network science, protein function prediction bioinformatics - David KOSLICKI, Mathematics Department, Oregon State University, Corvallis, US
(3, 4, 5) <mathematical biology, genomics, metagenomics, entropy, compressive sensing> - Patti KOSTKOVA, eHealth Research Centre, Department of Computer Science, University College London, UK
(1) <digital health, semantic Web, serious games, epidemic intelligence> - Damjan KRSTAJIC, Research Centre for Cheminformatics, Belgrade, RS
(2) <statistical learning, applied statistics> - Natsuhiko KUMASAKA, Center for Genomic Medicine (CGM), RIKEN, Tokyo, JP
(1, 2, 6) Bayesian Gaussian mixture model, statistics, data visualization, graphic design - Robert S. LARAMEE, Data Visualization Group, Department of Computer Science, Swansea University, UK
(6) <visualization> - Nada LAVRAC, Department of Knowledge Technologies, Joszef Stefan Institute, Ljubljana, SI
(1, 2) <machine learning, data mining> - Sangkyun LEE, Artificial Intelligence Unit, Dortmund University, DE
ESR (1, 2) <machine learning, large scale numerical optimization, statistical data analysis> - Matthijs van LEEUWEN, Machine Learning Group, KU Leuven, Heverlee, BE
(2, 6) <exploratory data mining, pattern mining, interactive data exploration> - Alexander LEX, Visualzation Design Lab, University of Utah, US
(6) <visualization, bioinformatics> - Chunping LI, School of Software, Tsinghua University, CN
(1, 2) machine learning, artificial intelligence, data mining, automated reasoning - Haibin LING, Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, US
(6, 7) <computer vision, medical image analysis, privacy, HCI> - Luca LONGO, Knowledge & Data Engineering Group, Trinity College Dublin, IE
ESR (1, 2, 6) <Knowledge representation, artificial intelligence, decision making, HCI> - Lenka LHOTSKA, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University Prague, CZ
(1, 2) <artificial intelligence, biomedical engineering> - Andras LUKACS, Institute of Mathematics, Hungarian Academy of Sciences and Eoetvos University, Budapest, HU
(1, 3) <data mining, network science, combinatorics, graph theory> - Avi MA’ AYAN, Systems Biology Center, Mount Sinai Hospital, New York, US
(3) <network science, computational biology, bioinformatics, systems pharmacoglogy> - Ljiljana MAJNARIC-TRTICA, Department of Family Medicine, Medical School, University of Osijek, HR
MED – family doctor, specialist in general/family medicine - Vincenzo MANCA, Dipartimento di Informatica, University of Verona, IT
(1, 2, 5) <Bioinformatics, computational systems biology, natural computing, discrete mathematics> - Ernestina MENASALVAS, Data Mining Group, Polytechnic University of Madrid, ES
(1, 2) <big data, predictive analytics, data mining> - Yoan MICHE, Nokia Bell Labs, Helsinki, FI
IND – (2, 7) <machine learning, Network Security, Steganography, Malware/Anomaly Detection> - Martin MIDDENDORF, Institut für Informatik, Fakultät für Mathematik und Informatik, University of Leipzig, DE
(1, 2, 3, 5) evolutionary algorithms, bioinformatics, combinatorial optimization - Silvia MIKSCH, Centre of Visual Analytics Science & Technology, Vienna University of Technology, Vienna, AT
(6) <visualization, visual analytics, interaction methods, time, temporal reasoning> - Antonio MORENO-RIBAS, Intelligent Technologies for Advanced Knowledge Acquistion, Univ. Rovira i Virgili, Tarragona, ES
(1, 2) <artificial intelligence, ontologies, multi-agent systems, semantics, decision making> - Katharina MORIK, Fakultät Informatik, Lehrstuhl für Künstliche Intelligenz, Technische Universität Dortmund, DE
(1, 2) <machine learning, data mining, big data, ubiquitous knowledge discovery, industry 4.0> - Abbe MOWSHOWITZ, Department of Computer Science, The City College of New York, US
(3, 5) <network science, graph theory, entropy> - Marian MROZEK, Computational Mathematics, Institute of Computer Science, Jagiellonian University, Krakow, PL
(4) <computational topology, homology, topological dynamics, morse theory> - Zoran OBRADOVIC, Data Analytics and Biomedical Informatics Center, Temple University, Philadelphia, PA, US
(1, 2) <machine learning, artificial intelligence, data mining, bioinformatics> - Daniel E. O’LEARY, School of Business, University of Southern California, Los Angeles, US
(1, 2) <artificial intelligence, knowledge management, decision support, information systems> - Patricia ORDONEZ-ROZO, Department of Computer Science, University of Puerto Rico Rio Piedras, San Juan, PR
(1, 2, 6) <health informatics, machine learning, data mining, visual analytics> - Vasile PALADE, School of Computing, Electronics and Mathematics, Coventry University, UK
(2) <machine learning> - Jan PARALIC, Department of Cybernetics and Artificial Intelligence, Technical University of Kosice, SK
(1, 2) <data mining, text mining, knowledge management, big data> - Valerio PASCUCCI, Scientific Computing and Imaging Institute, University of Utah, US
(2, 4, 6) <data analysis, topological methods for image segmentation, visualization> - Gabriella PASI, Laboratorio di Information Retrieval, Università di Milano Bicocca, Milan, IT
(1) <information retrieval, information filtering, fuzzy logic> - Armando J. PINHO, Departamento de Electrónica, Telecomunicações e Informática, University Aveiro, PT
(2, 5) <knowledge discovery, machine learning, bioinformatics, entropy> - Camelia-M. PINTEA, Technical University of Cluj-Napoca, Cluj-Napoca, RO
(2)<Artificial Intelligence, Ant Colony Optimization, Metaheuristics, Complex Systems, Applied Mathematics> - <Pavel PILARCZYK, Edelsbrunner Group, Institute of Science and Technology Austria, Klosterneuburg, AT
(1, 4) data mining, algebraic topology, homology theory, persistent homology - Margit POHL, Human-Computer Interaction Group, Vienna University of Technology, Vienna, AT
(6) HCI, information visualization - Massimiliano PONTIL, Centre for Computational Statistics and Machine Learning, UCL London, UK
(2, 3) <machine learning, artificicial intelligence, learning theory, statistics, applied mathematics> - Raul RABADAN, Biomedical Informatics, Columbia University, New York, US
(3, 4, 5) <network science, computational topology, entropy, biology, graph theory, evolution> - Heri RAMAMPIARO, Data and Information Management Group, Norwegian University of Science and Technology, Trondheim, NO
(1) <information retrieval, text mining, data management> - Dietrich REBHOLZ, European Bioinformatics Institute, Cambridge and University of Zurich, CH
MED (1) <semantic Web, biomedical informatics, information representation> - Chandan K. REDDY, Data Mining and Knowledge Discovery Lab, Wayne State Univeristy, US
(2) machine learning, health informatics - Gerhard RIGOLL, Lehrstuhl Mensch-Maschine Kommunikation, Technische Universität München, DE
(1, 2, 6) machine learning, pattern recognition, usability engineering, multimodal fusion, HCI - Jianhua RUAN, Computational Biology, Department of Computer Science, University of Texas, San Antonio, US
(1) <bioinformatics, computational biology, big data> - Lior ROKACH, Department of Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, IL
(1, 2, 7) <machine learning, data science, machine learning, recommender systems, forecasting, cyber security> - Carsten ROECKER, Fraunhofer IOSB-INA and Ostwestfalen-Lippe University of Applied Sciences, DE
(6) <HCI, smart environments, smart health, ambient assisted living> - Timo ROPINSKI, Visual Computing Research Group, Ulm University, DE
(6) <visusalization, volume rendering, scientific visualization, visual computing> - Giuseppe SANTUCCI, Dipartimento di Informatica e Sistemistica, La Sapienza, University of Rome, IT
(6) <visual analytics> - Pierangela SAMARATI, Dipartimento die Informatica, University of Milan, Crema, IT
(7) <privacy, data security, secure cloud computing, trust management> - Reinhold SCHERER, Graz BCI Lab, Institute of Neural Engineering, Graz University of Technology, AT
(1) <brain-computer interfacing, statistical signal processing, rehabilitation engineering> - m.c. SCHRAEFEL, Agents, Interaction & Complexity Group, Electronics & Computer Science, University of Southampton, UK
(1, 6) <HCI, open data, semantic Web, human performance, creativity> - Michele SEBAG, Laboratoire de Recherche en Informatique, CNRS, Universite Paris Sud, FR
(2) <machine learning> - Paola SEBASTIANI, Department of Biostatistics, School of Public Health, Boston University, US
(2) <Bayesian statistics, statistical genetics, statistical genomicspertise, biostatistics> - Christin SEIFERT, Media Computer Science, University Passau, DE
(1, 6) <visualization, visual analytics, knowledge discovery> - Christian Claus SCHILLER, Nuclear Medicine & Endocrinology, St Vincent’s Hospital, Linz, AT
MED – Endocrinologist
- Tanja SCHULTZ, Cognitive Systems Lab, Karlsruhe Institute of Technology, DE
(1, 6) <speech recognition, biosignals, brain-computer interfacs, human-machine interfaces> - Bracha SHAPIRA, Department of Information Systems Engineering, Ben-Gurion University of the Negev, Eilet, IL
(1, 2, 7) <recommender systems, data mining, privacy, cyber security, personalization> - Yongtang SHI, Center for Combinatorics, Nankai University, CN
(3, 5) <graph theory, discrete mathematics, combinatorial optimization, complex systems, mathematical chemistry> - Arno SIEBES, Algorithmic Data Analysis, Artificicial Intelligence, Universiteit Utrecht, NL
(1, 2) artificial intelligence, machine learning, algorithmic data analysis, biomedical data - Andrzej SKOWRON, Group of Mathematical Logic, Institute of Mathematics, University of Warszaw, PL
(1, 2) <artificial intelligence, approximate reasoning, rough sets, data mining, adapative systems> - Neil R. SMALHEISER, College of Medicine, Department of Psychiatry, University of Illinois at Chicago, US
MED (1) neuroscience, RNA biology, synaptic plasticity, pathogenesis of neuropsychiartric disorders, medical informatics - Rainer SPANG, Statistical Bioinformatics Department, Insitute of Functional Genomics, University Regensburg, DE
(1) <bioinformatics, biostatistics, tumor biology> - Jessica STADDON, Google Research and Computer Science Department NC State University, Raleigh, US
IND (1, 2, 6, 7) <data mining, HCI, privacy, security> - Irena SPASIC, Health Informatics, School of Computer Science & Informatics, Cardiff University, UK
(1, 2, 3) <ontologies, text mining, NLP, health informatics, bioinformatics> - Jerzy STEFANOWSKI, Institute of Computing Science, Poznan University of Technology, PL
(1, 2) <machine learning, data mining, rule induction, ensembles, data streams> - Gregor STIGLIC, Stanford CEnter for Biomedical Informatics, Stanford School of Medicine, Stanford, US
(1, 2) <machine learning, data mining, healthcare analytics, bioinformatics> - Marc STREIT, Institute of Computer Graphics, Johannes-Kepler University Linz, AT
(6) <visualization, visual analytics, biological data visualization> - Dimitar TRAJANOV, Department of Computer Science, Cyril and Methodius University, Skopje, MK
(1, 2, 3) <semantic Web, health data, parallel computing, linked open data> - Catagaj TURKAY, Department of Computer Science, City University London, UK
(6) <interactive visual analysis, visual analytics, biological data visualization> - A Min TJOA, Information & Software Engineering Group, Vienna University of Technology, AT
(1, 7) <data bases, security, semantic Web, risk analysis, personal information management> - Olof TORGERSSON, Applied Information Technology, Chalmers University of Technology, Goeteburg, SE
(6) <interaction design, medical informatics, intelligent user interfaces, declarative programming> - Shusaku TSUMOTO, Department of Medical Informatics, Faculty of Medicine, Shimane University, JP
MED (1, 2) neurology, medical informatics, risk mining, decision support, big data analytics health - Nikolaus VEIT-RUBIN, Department of gynecology and obstetrics, University Hospital Geneva, CH
MED – Operative Gynecologist - Karin VERSPOOR, Health and Life Sciences, National Information and Communications Technology Australia, Victoria, AU
(1, 2) <biomedical NLP, computational linguistics, text mining, bioinformatics, computational biology> - Jean-Philippe VERT, Cancer computational genomics and bioinformatics, Mines ParisTech, Paris, FR
(2) <machine learning, computational biology> - Daniel WEISKOPF, Visualization and Interactive Systems Institute, Universität Stuttgart, DE
(6) <visualization, visual analytics, computer graphics> - Edgar WEIPPL, SBA Research gGmbH – Secure Business Austria, Vienna, AT
IND (7) <information security> - Raffael WIEMKER, Philips Research Hamburg, DE
IND (6) <medical image analysis and visualization> - Pak Chung WONG, Pacific Northwest Laboratory, Washington, US
(1, 6) <visual analytics, data visualization, extreme scale data analytics, high performance computing> - William BL WONG, HCI, Computing and Multimedia Department, Middlesex University London, UK
(6) <HCI, visual analytics, cognitive systems engineering> - Kai XU, Visual Analytics, Computing and Multimedia Department, Middlesex University London, UK
(6) <HCI, information visualization, visual analytics, bioinformatics> - Jieping YE, Center for Evolutionary Medicine and Informatics, Arizona State University, US
(2) <machine learning, data mining, biomedical informatics> - Pinar YILDIRIM, Department of Computer Engineering, Okan University, Istanbul, TR
(2) <machine learning, medical informatics, biomedical data mining> - Martina ZIEFLE, e-Health Group, RWTH Aachen University, DE
(6) <HCI, technology acceptance, smart health, user diversity> - Elena ZHELEVA, University of Maryland Institute for Advanced Computer Studies, College Park, US
(1, 2, 3, 7) <machine learning, data mining, network analysis, privacy> - Jianlong ZHOU, Human-Centered AI Lab, Technical University Sydney, Australia
(1, 2, 6, 7) AI Ethics, AI Fairness, AI Explainability, Behaviour Analytics, Human Computer Interaction - Ning ZHONG, Knowledge Infromation Systems Laboratory, Maebashi Institute of Technology, JP
(1, 2) machine learning, brain informatics, Web intelligence, intelligent information systems, big data - Xuezhong ZHOU, School of Computer and Information Technology, Beijing Jiaotong University, CN
(1, 2, 3) data mining, complex networks, medical informatics