Opening Ceremony
M.Grazia Speranza is full professor of Operations Research at the University of Brescia, where she served as Dean of the Faculty of Economics and Business and Deputy Rector. She is currently President of IFORS (International Federation of the Operational Research Societies) and a former President of EURO (association of European Operational Research Societies) and of TSL (Transportation Science and Logistics society of INFORMS). As EURO President she founded the EURO Journal on Transportation and Logistics, the EURO Journal on Computational Optimization and the EURO Journal on Decision Processes.
Grazia’s research focuses on mixed integer programming and combinatorial optimization with applications to transportation, supply chain management, scheduling and portfolio selection. She models real problems, designs exact and heuristic algorithms, and applies worst-case analysis to off-line problems and competitive analysis to on-line problems. Recent research is oriented towards the study of routing problems enabled by technological developments. Grazia is author of about 200 papers that appeared in international journals and volumes. She has been plenary speaker at several international conferences and member of the scientific committee of the major international conferences in the field. She was visiting professor at the London School of Economics and at Brunel University during her sabbatical and has given talks and seminars at many universities around the world. She has been guest editor of special issues of journals, editor of several international journals and is co-editor-in-chief of the series of books ‘EURO Advanced Tutorials in Operational Research’.
Grazie has been a member of many evaluation committees, including the European Research Council (ERC) mathematics panel. She is included in https://100esperte.it/ and in the book ‘100 donne contro gli stereotipi per la scienza', Egea, 2017 as one of the best 100 Italian women in the STEM area. In 2019 she was awarded with the Laurea honoris causa by the University of Freiburg, Switzerland. She is a member of the Academy of Sciences of the University of Bologna.
Sadia Samar Ali (Ph. D. in Operations Research ) is an Associate Professor with Department of Industrial Engineering, Faculty of Engineering ,King Abdulaziz University, Jeddah, Saudi Arabia . She has extensive experience in engineering and management teaching, training, research, mentor and specializes in Sustainable practices in Supply Chain Management, Technology and Innovation related to developing countries by using Optimization and Quantitative Analysis. She is associated with EURO and IFORS groups as part of the working team in promoting ' Sustainable and Optimization practices' . She offers courses related to supply chain management & logistics, industrial quality control, probability distribution, optimization, design of experiments, and decision making. She is associated with EURO and IFORS groups as part of the working team in promoting ' Sustainable and Optimization practices' and ' Smart Technologies practices of developing countries’. She has authored many research articles, papers, reports, and books in ISI, SCI/SSCI, SCOPUS and SCIRUS indexed journals such as Journal of Cleaner Production, International Journal of Production Research , International Journal of Production Economics, Annals of Operations Research, IEEE Transactions on Engineering Management, Central European Journal of Operations Research, International Journal of Quality & Reliability Management , Mathematics , Benchmarking: An International Journal , Optimization : A Journal of Mathematical Programming and Operations Research . Her recent titles for the book contributed are ‘Best Practices of Green Supply Chain Management: A Developing Countries Perspectives; Emerald Global Publications’ and ‘Logistics 4.0: Digital Transformation of Supply Chain Management’ CRC Press| Taylor & Francis Group. She has been a keynote speaker at international conferences , editorial board member and guest editor for the topics based on data analytics, optimization and industrial engineering.
RUBEN RUIZ is a Full Professor of Statistics and Operations Research at the Polytechnic University of Valencia, Spain. He is co-author of more than 100 papers in International Journals and has participated in presentations of more than 180 papers in national and international conferences. He is editor of the Elsevier journal Operations Research Perspectives (ORP) and co-editor of the JCR-listed journal European Journal of Industrial Engineering (EJIE). He is also an associate editor of other important journals like TOP and Applied Mathematics and Computation as well as a member of the editorial boards of several journals, most notably European Journal of Operational Research and Computers and Operations Research. He is the director of the Applied Optimization Systems Group (SOA) at the Instituto Tecnológico de Informática (ITI) where he is or has been the principal investigator in several public research projects as well as privately funded projects with industrial companies. His research interests include scheduling and routing in real-life scenarios.
Dr. Yildizbasi is currently work as an Assistant Professor at the Industrial Engineering Department, Ankara Yıldırım Beyazıt University. He received his MSc (Engineering Management) from Syracuse University and his PhD (Industrial Engineering) from Eskisehir Osmangazi University, Eskisehir, Turkey. His major research interests are Circular Economy, Blockchain, Risk Management, Green Supply Chain Management, Multi-Criteria Decision Making, Energy, Optimization, and Manufacturing. His work has been published in high-impact journals such as Renewable Energy, Soft Computing, Journal of Cleaner Production, Clean Technologies and Environmental Policy, Journal of Energy Storage among others. He is a reviewer for reputable journals.
Mitsuo Gen received his PhD in Engineering from Kogakuin University, PhD degree in Informatics from Kyoto University and is Senior Research Scientist at FLSI and Visiting Prof. at TUS. He was faculties at Ashikaga Institute of Technology for 1974-2003, at Waseda University for 2003-2010. He was visiting faculties at University of California at Berkeley for 1999.8-2000.3, Texas A&M University for 2000.1-3 & 2000.8-9, Hanyang University in S. Korea for 2010-2012 and National Tsing Hua University in Taiwan for 2012-2014. His research field is Evolutionary Computation, Manufacturing Scheduling and Logistics Systems. He is coauthor of the following books: Genetic Algorithms and Engineering Design, 1997 and Genetic Algorithms and Engineering Optimization, 2000, John Wiley & Sons, New York; Network Models and Optimization: Multiobjective Genetic Algorithm Approach, 2008 and Introduction to Evolutionary Algorithms, 2010, Springer, London.
Prof. Arpan Kar is Associate Professor in Indian Institute of Technology Delhi, India. His research interests are in the domain of data science, digital transformation, internet ecosystems, social media and ICT-based public policy. He has authored over a 150 peer reviewed articles and edited 7 research monographs. He is the recipient of Research Excellence Award by Clarivate Analytics India (Web of Science) for highest research citations between 2015-2020. He is the recipient of Basant Kumar Birla Distinguished Researcher Award for the highest count of ABDC A*/ABS 4/FT50 level publications in India between the period 2014 - 2019. In terms of teaching cases, he is the recipient of the Best Seller Award from Ivey Cases / Harvard Business Publishing in 2020. He is the Editor in Chief of International Journal of Information Management Data Insights, published by Elsevier. He is also Associate / Coordinating Editor in International Journal of Electronic Government Research, Journal of Public Affairs, Information Systems Frontiers and Global Journal of Flexible Systems Management.
He has received numerous awards from reputed organizations like Clarivate Research Excellence Award, Basant Kumar Birla Distinguished Researcher Award, 3 International Federation of Information Processing best paper awards, ACM ICEGOV Best Research Paper Award, TCS Best Research Project Award, PMI Young Research Scholar Award, Association of Indian Management Schools Faculty Research Award, IIT Delhi Teaching Excellence award, Best Seller Award from Ivey/Harvard Case Publishing, and many more best paper awards in conferences. He has undertaken over 40 research, consultancy and training projects from national and international organizations.
Prof. Arpan Kar is Associate Professor in Indian Institute of Technology Delhi, India. His research interests are in the domain of data science, digital transformation, internet ecosystems, social media and ICT-based public policy. He has authored over a 150 peer reviewed articles and edited 7 research monographs. He is the recipient of Research Excellence Award by Clarivate Analytics India (Web of Science) for highest research citations between 2015-2020. He is the recipient of Basant Kumar Birla Distinguished Researcher Award for the highest count of ABDC A*/ABS 4/FT50 level publications in India between the period 2014 - 2019. In terms of teaching cases, he is the recipient of the Best Seller Award from Ivey Cases / Harvard Business Publishing in 2020. He is the Editor in Chief of International Journal of Information Management Data Insights, published by Elsevier. He is also Associate / Coordinating Editor in International Journal of Electronic Government Research, Journal of Public Affairs, Information Systems Frontiers and Global Journal of Flexible Systems Management.
He has received numerous awards from reputed organizations like Clarivate Research Excellence Award, Basant Kumar Birla Distinguished Researcher Award, 3 International Federation of Information Processing best paper awards, ACM ICEGOV Best Research Paper Award, TCS Best Research Project Award, PMI Young Research Scholar Award, Association of Indian Management Schools Faculty Research Award, IIT Delhi Teaching Excellence award, Best Seller Award from Ivey/Harvard Case Publishing, and many more best paper awards in conferences. He has undertaken over 40 research, consultancy and training projects from national and international organizations.
Dr. Reza Kiani Mavi is a senior lecturer of Supply Chain and Project Management in the School of Business and Law, Edith Cowan University (ECU), Australia. His research interests include eco-innovation analysis, and supply chain performance evaluation using multi-criteria decision-making (MCDM) techniques, and data envelopment analysis (DEA). He has published over 60 refereed papers in many prestigious journals such as Supply Chain Management: an International Journal, Technological Forecasting and Social Change, Computers & Industrial Engineering, Journal of Environmental Management, Journal of the Operational Research Society, among others. In addition to serving as the editorial board member of Technological Forecasting and Social Change, and Management Decision, Reza is an associate editor for the Journal of Intelligent & Fuzzy Systems. Dr. Kiani Mavi has secured research grants from the Australian Institute of Project Management and iMOVE Collaborative Research Centre as the chief and participating investigator.
Sankar Kumar Roy obtained M.Sc in Applied Mathematics in 1996 from Vidyasagar University and Ph. D in 2003 from the Dept. of Mathematics. IIT, Kharagpur, India Dr. Roy is serving as a Professor in the Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore, West Bengal from the year 2016 to till now. He also served as a Head of his own department during 2013-2015. He delivered a talk as an invited Speaker in the International Webinar, International Faculty Series on “Opportunities and Challenges for Data Sciences in the field of Natural Sciences in the Further” in the State Islamic University of North Sumatera, Jakarta, Indonesia on May 8, 2021. He was selected for awarding International Travel Fellowship for attending and contributing paper in ICIAM 2019, July 2019 at University of Valencia, Valencia, Spain. He visited as a research scientist for delivering invited talks at the Dept. of Computer Science and Artificial Intelligence in the University of Granada, Spain in July 2019. He also visited and delivered talk at the Dept. of Operations Research and Statistics, Polytechnic University of Valencia, Spain, July, 2019. He delivered a talk in Joint ORSC/EURO International Conference on Continuous Optimization, 2015, Shanghai University, Shanghai, China, May, 2015. He visited three times in Bangladesh for delivering invited talk in Khulna University, 2015; in Rajshahi University, 2016; and Dhaka University, 2017. He delivered more than 30 invited lectures in India and Abroad. His research interests are mainly on Transportation Problem, Game Theory, Inventory Management and Facility-location Problem, and Bio-Mathematics. He has published more than 120 articles (most of the articles have been published in Q1/SCI/SCIE journals with good impact factors) in the area of Operations Research. His h-index is 29 and i-10 index is 77 with total citations 2387 (Google Scholar). Thirteen (13) Ph. D students have been awarded under his supervision, another
Chefi Triki is a Senior Lecturer of Operations Research and Logistics Systems. He holds a Ph.D. in Systems Engineering and Informatics from the University of Calabria (Italy). His major research interests lie in the field of optimization mainly in the context of logistics and resources management. He has published in top scientific journals and served as keynote speaker in a variety of international conferences. His research portfolio includes also several research grants that he led with success in Italy, Oman and Qatar. Along his carrier he was awarded several teaching, research and service recognitions for his academic commitment. Dr. Triki has a strong background in developing optimization tools for the network design with application to the transportation procurement, freight distribution, waste collection, groundwater management, manufacturing, etc. His teaching activities consists in a wide range of undergraduate and graduate courses on logistics, simulation, informatics and optimization for engineering, mathematics, computer science, business and management science students.