Prof. Roberto Montemanni
University of Applied Sciences of Southern Switzerland, Switzerland
Roberto Montemanni is professor of advanced algorithms at the University of Applied Sciences of Southern Switzerland. He is also active as senior researcher at the Dalle Molle Institute for Artificial Intelligence and as research advisor for PhD students at the University of Lugano, Switzerland. He obtained a Laurea degree in Computer Science from the University of Bologna, Italy in 1999 and a Ph.D. in Applied Mathematics from the University of Glamorgan, UK in 2002. He is leading basic and applied research projects both at national and international levels. His main research interests are in the fields of mathematical modeling and algorithms, with applications in transportations and logistics.
Speech Title: 'Decision Making under Uncertainty in the Transportation Sector'
Abstract: Uncertainty is part of our
everyday life, and should be taken into account while taking decisions. The
observation is true in general, and in particular for the transportation sector.
In the decision making community great attention has been devoted to robust optimization in the last decades. The main effort has been about plugging uncertainty into the mathematical models describing the problems to optimize. A major challenge has been to treat uncertainty without dramatically increasing the computational complexity of the solving methods. However, most of the studies have been on the side of mathematical programming and exact methods, with only a very limited attention to heuristic approaches, which are those effectively used by practitioners.
In this talk we discuss how the results achieved for robustness in mathematical programming can be embedded directly into metaheuristic methods, obtaining the so-called matheuristic approaches, and how these methods can be used for decision-making purposes in the transportation domain.
The resulting robust matheuristic framework, oriented to decisions makers operating in the transportation sector, will be illustrated with practical examples and results on vehicle routing problems.
Prof. Mo Jamshidi
Department of Electrical and Computer Engineering, University of Texas San Antonio, USA
Mo M. Jamshidi (Fellow IEEE, Fellow ASME, A. Fellow-AIAA, Fellow AAAS, A. Fellow TWAS, Fellow NYAS) received BS in EE, Oregon State University, Corvallis, OR, USA in June 1967, the MS and Ph.D. degrees in EE from the University of Illinois at Urbana-Champaign, IL, USA in June 1969 and February 1971, respectively. He holds honorary doctorate degrees from the University of Waterloo, Canada, 2004 and Technical University of Crete, Greece, 2004. Currently, he is the Lutcher Brown Endowed Distinguished Chaired Professor at the University of Texas, San Antonio, TX, USA. He has been an advisor to NASA (including 1st MARS Mission), USAF, USDOE and EC/EU (Brussels). He has over 770 technical publications including 70 books (11 text books), research volumes, and edited volumes in English and a few foreign languages. He is the Founding Editor or co-founding editor or Editor-in-Chief of 5 journals including IEEE Control Systems Magazine and the IEEE Systems Journal. He is currently Editor-in-Chief of Intelligent Automation and Soft Computing published by Taylor & Francis in UK. e is an Honorary Professor at three Chinese Universities (Nanjing and Xi’an), Deakin University (Australia), Birmingham University and Loughbrough University (UK), and Obuda University (Hungary). In October 2005 he was awarded the IEEE’s Norbert Weiner Research Achievement Award. He is a member of the University of the Texas System Chancellor’s Council since 2011. In his two research laboratories with 25 graduate students, he is currently involved in research on system of systems engineering with emphasis on cloud computing, robotics, UAVs, bioinformatics and sustainable energy systems. He has close to 8300 citations on Scholar Google.
Speech Title: 'A System of Systems Framework for Autonomy, Big Data Analytic, Machine Learning and Autonomy'
Abstract: Large data has been accumulating in all aspects of our lives for quite some time. Advances in sensor technology, the Internet, wireless communication, and inexpensive memory have all contributed to an explosion of “Big Data”. System of Systems (SoS) are integration of independent operatable and non-homogeneous legacy systems to achieve a higher goal than the sum of the parts. Today’s SoS are also contributing to the existence of unmanageable “Big Data”. Recent efforts have developed promising approach, called “Data Analytics”, which uses machine learning tools from statistical and soft computing (SC) such as principal component analysis (PCA), clustering, fuzzy logic, neuro-computing, evolutionary computation, Bayesian networks, deep architectures and deep learning, etc. to reduce the size of “Big Data” to a manageable size and apply these tools to a) extract information, b) build a knowledge base using the derived data, and c) eventually develop a non-parametric model for the “Big Data”. This keynote attempts to construct a bridge between SoS and Data Analytics to develop reliable models for such systems. A photovoltaic energy forecasting problem of a micro grid SoS, traffic jams forecasting and a system of autonomous vehicles will be offered for case studies. These tools will be used to extract a nonlinear Model for a SoS-generated BIG DATA. Videos for autonomous vehicles will be shown.
Prof. Mahmoud Shafik
Principal Technology Investigator at University of Derby, UK
Professor Mahmoud Shafik is an international expert
who has made a personal distinction and international leadership recognition, in
the field of Intelligent Mechatronics Systems and Technology, with more than
20-years industrial applied research experience in Mechatronics Systems Hardware
and Software, Precision Engineering, 3D Smart Actuators for Autonomous Vehicle,
Robotic Systems and Machine Vision, Electric Cars: Steer-by-wire, Sustainable
Rail Transport Infrastructure, Innovation for Sustainable Engineering, Control
and instrumentation, Cancer Treatment using CVD Diamond Radio Therapy
Technology, Information Technology for Blind and Visually Impaired people,
Chronic Diseases ICT Technological Solutions, Assisted Living Technology, AD-HOC
Wireless Technology, TeleHealth, Telecare, CO2 and Climate Change,
Electro-Rheological Fluid Micro Actuators Technology, and Software Tools.
Professor Shafik has been leading several industrial applied research projects from European Commission and UK Research Council, of a budget of several millions of Euro’s and have made a great economic and social impact in his area of expertise in UK and EU, as a whole. His research work has brought many innovative outcomes that have been used commercially by a number of Small to Medium and Large enterprise organisations around the world. This includes: Intersurgical Ltd – UK, Veslatec Oy – Finland, Semelab plc. – UK, PTW Freiburg – Germany, Neotek – France, Kirchmayer Handel & Consulting GmbH – Austria, Spectrum Telecom Installations Ltd – Ireland, Diamond Materials GmbH – Germany, Fireworks International Ltd – UK, Pirotecnia Oscense SA – Spain, Total Motion Systems Ltd –UK, Micromech Limited – UK, Smart Technology Ltd – UK, Audi -Germany, Ford – UK, Schlumberger – France, Nissan – Japan and Rolls Royce - UK.
Professor Shafik has been supervising and external examiners for a number of PhD and MSc research students, across Europe and has a number of industrial notes and several publications in international/world leading journals and conferences. He has also a number of patents in his areas, of industrial applied research and sustainable technology.
Professor Shafik is a visiting professor for a few universities in EU and Middle East. He is co-leading investigator of BHIMASENA Research and Development Network-url: http://bhimasena.unsysdigital.com/index.php/testimonials/35-testimonials-2/102-mahmoud-shafik. He is also the Principal Technology Investigator of the University of Derby and hold the position of A/Professor (Reader) within the Collage of Engineering and Technology-url: http://www.derby.ac.uk/staff/mahmoud-shafik/.
Professor Shafik is the founder of International Journal of Robotics and Mechatronics-url: http://ojs.unsysdigital.com/index.php/ijrm and serving as an editorial board member of a few International Journals. He has been also serving as a Knowledge Transfer Expert for the UK-Egypt Technology/Knowledge Transfer Network.
For more information of Professor Shafik profile, career, achievements and selected publications please visit: https://www.linkedin.com/pub/mahmoud-shafik-ph-d/7/237/60 & https://www.researchgate.net/profile/Mahmoud_Shafik.
Prof. Godfried T. Toussaint
New York University Abu Dhabi, UAE
Godfried Toussaint is a Professor and the Head of
the Computer Science Program at New York University Abu Dhabi, in Abu Dhabi, The
United Arab Emirates. He is also an affiliate researcher in the Computer Science
and Artificial Intelligence Laboratory at the Massachusetts Institute of
Technology in Cambridge, MA, USA. Formerly, he taught and did research in the
School of Computer Science at McGill University in Montreal, Canada in the areas
of information theory, pattern recognition, textile-pattern analysis and design,
computational geometry, machine learning, music information retrieval, and
computational music theory.
His research on the phylogenetic analysis of musical rhythms has been reported in several media, and was the focus of two Canadian television programs. His latest book is titled: The Geometry of Musical Rhythm, published by Chapman-Hall/CRC Press, January, 2013.
Speech Title: 'Algorithmic Robotics and Local Spatial Planning'
Abstract: In this talk I will describe some results and open problems regarding the geometric and algorithmic aspects of planning local motions of simple geometric objects in two and three dimensions. One class of problems asks whether two or more objects can be separated by one or more rigid translations or rotations, without any collisions occurring between the objects during the motions. A second group of problems concerns the reconfiguration of polygonal linkages in which their vertices act as movable joints that are subjected to a variety of motions constraints.