Keynote Speakers


   Professor Adel M. Alimi

   Director of the REGIM-Lab. on intelligent Machines

   Professor,  University of Sfax

   Email: adel.alimi@regim.org

 

Biography: Adel M. Alimi (IEEE Student Member’91, Member’96, Senior Member’00). He graduated in Electrical Engineering in 1990. He obtained a PhD and then an HDR both in Electrical & Computer Engineering in 1995 and 2000 respectively. He is full Professor in Electrical Engineering at the University of Sfax, ENIS, since 2006. He is founder and director of the REGIM-Lab. on intelligent Machines.
Prof. Alimi was advisor of 52 PhD Thesis. He is the holder of 15 Tunisian patents. He served also as Expert evaluator for the European Agency for Research since 2009. He managed funds for 22 international scientific projects (total budget: 1161.1 k€, 20.6 k$CAN, 67 kTND). He managed funds for several national scientific projects (total budget: 560+ kTND).
His publications statistics are: ISI Thomson h index=10, Total Articles=202, Citations=654
Scopus h index=16, Journals Papers=71, Conference Papers=256, Citations=987
Google Scholar h index=24, Journals Papers=89, Conference Papers=350+, Citations=3543
 
Prof. Alimi research interests include iBrain (Evolutionary computing, Swarm intelligence, Artificial immune systems, Fuzzy Sets, Uncertainty analysis, Fractals, Support vector machines, Artificial neural networks, Case Based, Reasoning, Wavelets, Hybrid intelligent systems, Nature inspired computing techniques, Machine learning, Ambient intelligence, Hardware implementations, Multi-Agent Systems, iRobotics, Multi-Robots, Autonomous Robots) & iPerception (Classification, Classifiers Combination, Features Extraction, High Dimension Classification Problems, Handwriting Recognition, Handwriting Modeling, Motor Control, Perception, OCR, Arabic Script, Historical Documents Analysis, iDocument, iVision, Remote Sensing, Affective Computing) & iData (Big Data, iWeb, Biometry, Data Mining, Web Mining, Cloud Computing).
 
Prof. Alimi served as associate editor and member of the editorial board of several international scientific journals (IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, Pattern Recognition Letters, NeuroComputing, Neural Processing Letters, International Journal of Image and Graphics, Neural Computing and Applications, International Journal of Robotics and Automation, International Journal of Systems Science, EURASIP Journal on Advances in Signal Processing, Journal of Universal Computer Science). He was guest editor of several special issues of international journals (e.g. Fuzzy Sets & Systems, Soft Computing, Journal of Decision Systems, Integrated Computer Aided Engineering, Systems Analysis Modelling and Simulations). He organized several international conferences: ICDAR’15, INNS-BigData’15, SOLI’15, SoCPaR’14, ICALT’15&’14&’13, ICBR’13, HIS’2013, IAS’13, ISI’12, NGNS’11, LOGISTIQUA’11, ACIDCA-ICMI’05, SCS’04, ACIDCA’2000.
 
Prof. Alimi is the chair of the IEEE R8 Conference Coordination Subcommittee. He is member for several IEEE Technical Committees (CIS, SMCS). He had founded, chaired and volunteered for several IEEE entities: Tunisia Section, IEEE Sfax Subsection, IEEE Tunisia Chapters (AESS, CS, CIS, EMBS, ES, IAS, RAS, SMCS). He also served as IEEE ENIS Student Branch Counselor and was advisor for several IEEE ENIS Student Branch Chapters. He had founded and chaired several structures (Tunisian Section of IAPR (Int. Association for Pattern Recognition, Scientific Association
for Supporting Research and Technological Innovation : ASARIT, Scientific Association Sustainable Innovation @ Tunisia, University Chair of Innovation : UNCHAIN of the University of Sfax, Tunisia).
 
Prof. Alimi has been awarded with the IEEE Outstanding Branch Counselor Award for the IEEE ENIS Student Branch in 2011, with the Tunisian Presidency Award for Scientific Research and Technology in 2010, with the IEEE Certificate Appreciation for contributions as Chair of the Tunisia Computational Intelligence Society Chapter in 2010 and 2009, with the IEEE Certificate of Appreciation for contributions as Chair of the Tunisia Aerospace and Electronic Systems Society Chapter in 2009, with the IEEE Certificate of Appreciation for contributions as Chair of the Tunisia Systems, Man, and Cybernetics Society Chapter in 2009, with the IEEE Outstanding Award for the establishment project of the Tunisia Section in 2008, with the International Neural Network Society (INNS) Certificate of Recognition for contribution on Neural Networks in 2008, with the Tunisian National Order of Merit, at the title of the Education and Science Sector in 2006, with the IEEE Certificate of Appreciation and Recognition of contribution towards establishing IEEE Tunisia Section in 2001 and 2000.
 

TitleHybrid Intelligent Systems & Big Data Streams Analytics

Abstract : Big Data are typically produced in different sectors of the above organizations, often geographically distributed throughout the world, and are characterized by a large size and variety. Big Data is not just about storage of and access to data. Therefore, there is a strong need for such Big Data streams analytics. Big Data analytics is considered as an imperative aspect to be further improved in order to increase the operating margin of both public and private enterprises, and represents the next frontier for their innovation, competition, and productivity. Analytics play a big role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms can’t easily scale up to big data. Plus there are challenges of high-dimensionality, velocity and variety.

   Professor Jiuh-Biing Sheu

   Editor-in-Chief, Transportation Research Part E: Logistics and Transportation Review

   Distinguished Professor, National Taiwan University

   Email: jbsheu@ntu.edu.tw

 
 
Biography: Jiuh-Biing Sheu holds the distinguished professor at National Taiwan University. He is also the Editor in Chief of Transportation Research Part E, and editorial board member of Industrial Marketing Management.Professor Sheu has published over fifty refereed journal articles in academic journals, including Transportation Research Parts A, B, C, E, F, Transportation Science, and Production and Operations Management, with a half of them by singly authored. Additionally, Professor Sheu published two special issues on Emergency Logistics management and Green Supply Chain Management for Transportation Research Part E in 2007 and 2011, respectively. His research areas cover Intelligent Transportation Systems (ITS), Emergency Logistics, Green Supply Chain Management, Business-to-Business Marketing, Quantum Optical Flow Theory and its Applications in ITS, Behavioral Operations Management, Green Marketing, Affect Science and Cognition in Decision Science. He received Outstanding Researcher Awards from National Science Council of Taiwan in 2006 and 2012; Outstanding Young Researcher Project, National Science Council, Taiwan (2011-2015); Outstanding Scholar Research Project, National Science Council, Taiwan (2008-2011); Outstanding Researcher Award, National Chiao Tung University (2004) and Da-You Wu Outstanding Junior Researcher Award, National Science Council, Taiwan in 2003.
 
Title: Emergency Logistics Management – Challenges, Trends, and Solutions
Abstract : Nowadays, disasters, either mad-made or natural, existing ubiquitously on the earth, have been a common issue encountered by people around the world. Emergency logistics management, thus, emerges and becomes increasingly important in the field of logistics management and related areas. This presentation sheds light on not only the critical issues needed to be addressed but also the research trend and potential solutions for emergency logistics management. Furthermore, several hot research topics and works published in top-tier journals including Transportation Research Parts B and E are illustrated. Briefly, the aim and scope of emergency logistics management and future research in related areas should be extended to take into account what disaster-affected people really need to achieve the ultimate goal of maximizing the value of life added for human beings.
 

   Meng LuDr.Meng Lu

   Program Manager International, Dutch Institute for Advanced Logistics, The Netherlands

   Member, Board of Governors, IEEE ITSS (Intelligent Transportation Systems Society)

   Email: meng.lu@wklm.eu 

Biography: Dr. Meng Lu from 2011, Program Manager International at Dutch Institute for Advanced Logistics. In 2009 and 2010 Visiting Professor at the National Laboratory for Automotive Safety and Energy, Tsinghua University, P.R. China. Since 2002 active in the area of ICT-based ITS (Intelligent Transport Systems). Since 2011 also active in the area of logistics and supply chain. Participation in (FP6 and FP7) EU-funded projects as Coordinator, Workpackage Leader and Partner. Involved in European initiatives, inter alia the ETP (European Technology Platform) on Logistics (named ALICE since June 2013) and EU-China R&D collaboration.

Board memberships: Member, Board of Governors, IEEE ITSS (Intelligent Transportation Systems Society); Chair, IBEC (international forum for the evaluation of ITS development and deployment); Member, International Programme Committee of the World and European Congresses on ITS; Advisory Board Member, Supply Chain and Logistics Summit; Editorial Board Member, IET (Institution of Engineering and Technology) ITS; Program Chair, IEEE IV 2012.

Education: PhD, Lund Institute of Technology, Lund University, Sweden; Dutch Master's degree of Engineering; participation in a Business Administration Programme at Nyenrode University, The Netherlands; Master's degree of Civil Engineering at Harbin Institute of Technology in P.R. China.

 

Title: ICT-based ITS and Logistics: Trends, Challenges and Needs for Future Research and Innovation
Abstract : Information and Communication Technologies are fundamental building blocks for sustainable transport and logistics (including all modes – road, rail, water and air). More efficient, safe, secure and energy-saving transport and logistics are essential for fulfilling the rapidly increasing needs of sustainability (including economic, environmental and societal dimensions). To achieve this, a safer and congestion-free physical infrastructure, a proper information infrastructure (for passenger and freight transport), seamless services, as well as appropriate cooperation and collaboration between different organisations are required. The challenges cover interdisciplinary areas, such as passenger mobility, logistics and supply chain management, land use policy and planning, technological development, economic, legal and financial issues, as well as behaviour of individuals, companies and governments. ICT solutions enable acceleration of ITS implementations, enhancement of intelligent hubs and corridors and intensified  (horizontal and vertical) collaboration. This presentation will address the trends and challenges of sustainable transport and logistics from various perspectives, including technologies, organisational issues and business models, as well as policy and legal issues.