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

Yoshihiko Nakamura is Professor at Department of Mechano-Informatics, School of Information Science and Technology, University of Tokyo. He received Ph.D. from Kyoto University. After working at Kyoto University and the University of California, Santa Barbara, he joined the University of Tokyo in 1991. Humanoid robotics, cognitive robotics, neuro musculoskeletal human modeling, biomedical systems, and their computational algorithms are his current fields of research. Dr. Nakamura served as President of IFToMM (2012-2015). He is Foreign Member of Academy of Engineering Science of Serbia, TUM Distinguished Affiliated Professor of Technische Universität München, Executive Member of International Foundation of Robotics Research, and Fellow of JSME, RSJ, IEEE, and World Academy of Art and Science.

Speech title: Mocap as a Service: Video Motion Capture Makes Human Motion Analysis for Everyone

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


Dr. Marco Schorlemmer is a Tenured Scientist at CSIC’s Artificial Intelligence Research Institute (IIIA-CSIC) and head of its Multiagent Systems department. He holds a PhD in Informatics from the Universitat Politècnica de Catalunya (UPC) and has conducted his research at IIIA-CSIC and at UPC in Spain, at SRI International and at Indiana University in the USA, and at the University of Edinburgh in the UK.

Dr. Schorlemmer has extensively published in specialised journals and international workshop and conference proceedings in the fields of Formal Specification and Automated Theorem Proving, Diagrammatic Representation and Reasoning, Distributed Knowledge Coordination, Semantic Interoperability of Ontologies, Multiagent Systems, and Computational Creativity. He has recently coordinated the Future Emerging Technologies (FET) project COINVENT and has also been a principal investigator of the Marie Curie Initial Training Network ESSENCE, both funded by the European Commission.

Dr. Schorlemmer is Editorial Review Board member of the Applied Ontology and Applied Intelligence journals and Scientific Advisory Board member of the Law, Governance and Technology series; he has also served on the programme committees of numerous international workshops and conferences, such as the International Conference on Computational Creativity (ICCC), the International Conference on Formal Ontology in Information Systems (FOIS), the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), the International Semantic Web Conference (ISWC), the International World Wide Web Conference (WWW), the AAAI Conference on Artificial Intelligence, and the International Joint Conference on Artificial Intelligence (IJCAI). He currently serves as the Secretary on the Board of the Associació Catalana d’Intel·ligència Artificial.

Speech title: The Role of Interaction and Embodied Cognition in Computational Ontology

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

Fred Almeida

Ascent Robotics Inc., Japan

Fred is the founder and chief architect of Ascent Robotics. Ascent, through the influence of theoretical neuroscience, is developing a new algorithmic approach to robotic control. Building intuitive and interpretable full stack AI across autonomous vehicles and industrial robotics. Fred holds degrees in Philosophy and Mathematics and now attending Harvard Business School.

Speech title: How to build a self-driving car that thinks like we do. The application of neuroscience to robotics.

Angel Esteban Soto, Spain

Mr. Angel Esteban is the CEO and Co-founder of, a Barcelona based-company specialized on providing large-scale deep learning models via API. Angel holds a degree in Computer Science from the University of Barcelona and is an entrepreneur and passionate about AI. In 2010 he developed a real-time face recognition high-performance software able to learn and recognize new faces on the fly. After that, his career has been focused on the development of automated systems to solve real-world problems in the most efficient way, from the traditional AI and CV to the latest deep learning algorithms. has been selected by Nvidia and Wired as one of the top hottest startups in Europe, as well as supported by the European Commission H2020 program for innovative SME’s.

Speech title: Coming Soon

Manu Carricano

ESADE Business School, Spain

Dr. Manu Carricano is a Senior Lecturer in Operations, Innovation and Data Sciences at ESADE and the Founder of the Top Line Lab, a boutique consultancy aiming to bring Data Science to Pricing and Revenue Growth decisions. He is an executive graduate from the Massachusetts Institute of Technology (MIT) in Big Data and received his Ph.D. from the University of Bordeaux and MSc from Kedge Business School.
His work encompasses a wide range of data science and pricing issues and has been published in international academic journals and major industry and academic conferences. He is the author of the book Data Analysis with SPSS (Pearson, France 2010), as well as a mentor for the Open Data Incubator for Europe (ODINE) and StartupBootcamp Big Data & IOT.
Dr. Carricano is one of the leading pricing & analytics educators in Europe and has trained several thousand participants across the globe.
As a consultant, Dr. Carricano has conducted projects in numerous industries and nations: working with leading companies such as Bayer, Becton Dickinson, General Electric, Johnson Controls, LEGO, McDonald's, Medtronic, Michelin, and PSA among others.

Speech title: Why Dynamic Pricing is the winning use case in AI

Rob Käll

Cien, USA

Rob Käll is a serial entrepreneur who has built three successful companies in 10 years. He is known for his data-driven approach to sales management and performance, specializing in SaaS, CRM, Data Analysis and Team Recruitment. His latest startup, Cien, is an AI-first productivity app for measuring the human and behavioral elements that impact sales productivity. The company is based in Miami, FL with a commercial office in Dallas, TX and a research and development center in Barcelona, Spain.
In his talk, Serial entrepreneur Rob Kall will share the ins and outs of building his AI-first start-up Cien. He will describe the challenges associated with modeling complex human behaviors and suggest new ways to tie AI to business value.
Speech title: Understanding Human Behavior Using AI – A Practical Example

Chitro Majumdar

R- square RiskLab, Luxembourg

Chitro is the founder of RsRL (an ETH-Zürich spin-off mathematics professor emeritus since 2010). Chitro’s key strength is fundamental research through co-existence risk measures, models & thought leadership. Chitro is currently designing algorithms on Artificial Intelligence Ethics. His criticism could help of building framework for sovereign’s AI Policy, Ethics and Supervision. In November 2017 Chitro was a Chair on Mathematization of AI Ethics at European Commission’s 1st Policy Seminar on AI in Brussels.
Speech title: Should Artificial Intelligence (AI) be regulated? How should we regulate AI to replace human decision-making?

Marta R. Costa-jussà

Universitat Politècnica de Catalunya, Spain

Marta R. Costa-jussà is a Ramón y Cajal Research Fellow at the Universitat Politècnica de Catalunya (UPC, Barcelona). She received her PhD from the UPC in 2008. She has worked at LIMSI-CNRS (Paris), Barcelona Media Innovation Center (Barcelona), Universidade de São Paulo, Institute for Infocomm Research (Singapore) and Instituto Politécnico Nacional (Mexico). Her research experience is mainly in Machine Translation. She has participated in 20+ competitive projects, received 8 competitive fellowships (including the prestigious Marie Skłodowska-Curie Action) and published 100+ papers in top international scientific journals and conferences. She is constantly cooperating with companies as a scientific consultant.

Speech title: Gender Bias in Natural Language Processing