A2IC 2018 conference will gather high-profile Artificial Intelligence experts to deliver plenary speeches:

Prof. Umberto Straccia


Umberto Straccia is a researcher at ISTI – CNR (the Istituto di Scienza e di Tecnologie dell’Informazione -ISTI, an Institute of the National Research Council of Italy -CNR).
He received a Ph.D. in computer science from the University of Dortmund, Germany. His research interests include logics for Knowledge Representation and Reasoning (Description Logics, Logic Programming, Answer Set Programming), Semantic Web Languages (OWL, RDFS, RuleML), Fuzzy Logic, Machine Learning, their combination and application.

Speech title: Fuzzy & Annotated Semantic Web Languages

Prof. Yoshihiko Nakamura

University of Tokyo, Japan

Short biography: Coming soon

Speech title: Coming soon

Prof. Patrick Doherty

University of Linköping, Sweden

Patrick Doherty is a Professor of Computer Science at the Department of Computer and Information Sciences (IDA), Linköping University, Sweden. He heads the Artificial Intelligence and Integrated Computer Systems Division at IDA. He is an ECCAI/EurAI fellow and also Editor-in-Chief of the Artificial Intelligence Journal. He has over 30 years of experience in areas such as knowledge representation and reasoning, automated planning, intelligent autonomous systems and multi-agent systems. A major area of application is with Unmanned Aircraft Systems. He has over 180 refereed scientific publications in his areas of expertise and has given numerous keynote and invited talks at leading international conferences. He is also CEO of a start-up company, UAS Technologies Sweden AB, which designs and markets Micro-Aerial Vehicles and unmanned aircraft functionalities.

Speech title: Intelligent Collaborative Systems and their Application to Emergency Rescue Scenarios

Dr. Juan Gómez-Romero

University Of Granada, Spain

Dr. Juan Gómez-Romero is a Senior Research Fellow at the Computer Science and Artificial Intelligence department of Universidad de Granada (Spain), and the principal investigator of the BIGFUSE project on energy data fusion. He received his PhD degree in Intelligent Systems from Universidad de Granada in 2008. His research interests focus on Machine Learning and Knowledge Representation methods to perform massive information fusion and interpretation. He has participated in more than 20 projects in the areas of energy efficiency, security and ambient intelligence. Recently, he coordinated the development of the model predictive control components in the FP7 Energy IN TIME project.

Speech title: Data Science for Efficient Building Energy Management

Dr. Marco Schorlemmer


Short biography: Coming soon

Speech title: Coming soon

Dr. Fernando Alonso-Fernandez

Halmstad University, Sweden

Fernando Alonso-Fernandez is with the Centre for Applied Intelligent Systems Research, Halmstad University, Sweden, first as the recipient of a Marie Curie IEF and a postdoctoral fellowship from the Swedish Research Council, and later as the recipient of a Project Research Grant for Junior Researchers of the Swedish Research Council. Since 2017, he is an Associate Professor at Halmstad University. He has been actively involved in in multiple EU (e.g. FP6 Biosecure NoE, COST IC1106) and National projects focused on biometrics and human-machine interaction. He also co-chaired ICB2016, the 9th IAPR International Conference on Biometrics. His research interests include signal and image processing, pattern recognition, and biometrics, with emphasis on facial cues and body biosignals. He has over 70 international contributions at refereed conferences and journals and has authored several book chapters.

Speech title: Human Authentication Using Facial Cues

Dr. Jean Fred Fontaine

Johannes Gutenberg University Mainz, Germany

Dr. Jean Fred Fontaine is a Senior Scientist at the Johannes Gutenberg University Mainz (Germany) where he works in the fields of Biology and Data Science. He is the co-organizer of the Challenges in Computational Biology, a series of international workshops (2015-2017), and editor-in-chief of Genomics and Computational Biology, an open access biomedical journal. His research interests focus on applications of machine learning to get insights from molecular and network data.

Speech title: Machine learning the subjective quality of biomedical data and results

Dr. Mariarosaria Taddeo

University of Oxford, UK

Dr. Mariarosaria Taddeo is Research Fellow at the at the Oxford Internet Institute, University of Oxford, where she is the Deputy Director of the Digital Ethics Lab, and is Faculty Fellow at the Alan Turing Institute. Her primary research interests are Digital Ethics, Philosophy of Information, and Philosophy of Technology, with a particular focus on Ethics of Cyber Conflicts and Cybersecurity. She has published extensively on issues like trust among artificial agents, cyber conflicts, digital ethics adn ethics of AI.
Dr. Taddeo has been awarded The Simon Award for Outstanding Research in Computing and Philosophy (2010) and the World Technology Award for Ethics (2013) in recognition of the significance of her work. Since 2016, Taddeo serves as editor-in-chief of Minds & Machines (Springer), of Philosophical Studies, Book Series (Springer). She is also Fellow of the Council on the Future of Cybersecurity of the World Economic Forum.

Speech title: Coming Soon

Armand Ruiz


Armand Ruiz is the lead Product Manager of the IBM Data Science Experience and IBM Watson Machine Learning based in San Francisco (US). Armand enjoys creating new innovative products and is motivated by great design, product simplicity and high-quality user experience with the goal of helping companies embed AI in their business.

Speech title: Coming soon

Dr. Lluís Màrquez

Amazon Research, Spain

Lluís Màrquez is a Principal Applied Scientist at Amazon Research in Barcelona. From 2013 to 2017 he had a Principal Scientist role at the Arabic Language Technologies group from the Qatar Computing Research Institute (QCRI), and previously, he was Associate Professor at the Technical University of Catalonia (UPC, 2000-2013). He holds a university award-winning PhD in Computer Science from UPC (1999). His research focuses on natural language understanding by using statistical machine learning models. He has 150+ papers in Natural Language Processing and Machine Learning journals and conferences. He has been General and Program Co-chair of major conferences in the area (ACL, EMNLP, EACL, CoNLL, *SEM, EAMT, etc.), and held several organizational roles in ACL and EMNLP too. He was co-organizer of various international evaluation tasks at Senseval/SemEval (2004, 2007, 2010, 2015-2017) and CoNLL shared tasks (2004-2005, 2008-2009). He was Secretary and President of the ACL special interest group on Natural Language Learning (SIGNLL) in the period 2007-2011. More recently, he was President-elect and President of the European Chapter of the ACL (EACL; 2013-2016) and member of the ACL Executive Committee (2015-2016). Luís Màrquez has been Guest Editor of special issues at Computational Linguistics, LRE, JNLE, and JAIR in the period (2007-2015). He has participated in 16 national and EU research projects, and 2 projects with technology transfer to the industry, acting as the principal site researcher in 10 of them, helping companies embed AI in their business.

Speech title: Coming soon

Dr. Silvia Chiappa

DeepMind, UK

Silvia is a senior research scientist at DeepMind, where she works on deep models of high-dimensional time-series and algorithmic fairness, and also contributes to the DeepMind’s diversity and inclusion initiative.

Silvia received a Diploma di Laurea in Mathematics from University of Bologna and a PhD in Statistical Machine Learning from École Polytechnique Fédérale de Lausanne. Before joining DeepMind, she worked in several Machine Learning and Statistics research groups, such as the Empirical Inference Group at the Max-Planck Institute for Biological Cybernetics, the Machine Learning and Perception Group at Microsoft Research Cambridge, and the Statistical Laboratory at University of Cambridge. Silvia’s research interests are based around Bayesian and causal reasoning, graphical models, approximate inference, and time-series models.

Speech title: Coming soon

Prof. Daniele Ielmini

Politecnico Di Milano, Italy

Daniele Ielmini is a Full Professor at the Dipartimento di Elettronica, Informazione e Bioingegneria of Politecnico di Milano. He received the PhD from Politecnico di Milano in 2000, and he held visiting positions at Intel Corporation and Stanford University (2006). His research interests include the modeling and characterization of non-volatile memories, such as phase change memory (PCM), resistive switching memory (RRAM), and spin-transfer torque magnetic memory (STT-MRAM). He authored/coauthored 10 book chapters, more than 250 papers published in international journals and presented at international conferences, and 6 patents. He has served in several Technical Subcommittees of international conferences, such as IEEE-IEDM (2008-2009, 2017-2018), IEEE-IRPS (2006-2008), IEEE-SISC (2008-2010), INFOS (2011-2017), and IEEE-ISCAS (2016-2018). He is Associate Editor of IEEE Trans. Nanotechnology and Semiconductor Science and Technology (IOP), and a Senior Member of the IEEE. He was recognized a Highly Cited Researcher by Thomson Reuters in 2015. He received the Intel Outstanding Researcher Award in 2013, the ERC Consolidator Grant in 2014, and the IEEE-EDS Paul Rappaport Award in 2015.


Speech title: Neuromorphic computing with emerging memory devices