Prof. Han-Yong Jeon
Department of Chemical Engineering, Inha University, South Korea
Biography: Prof. Han-Yong Jeon, geosynthetics/technical organic materials researcher, graduated from textile engineering department, Hanyang University in 1979. He worked for Hyejeon College, 1982-1990 and Howon University, 1990-1992, Chonnam National University, 1992-2005 and now works for Inha University. Since 1998, he is the director of Geosynthetics Institute (USA)-Korea Directory. From 2008-2012, he worked in International Geosynthetics Society as Council member (2006~2012) and he was the 6th president of Korean Geosynthetics Society (2011~2013). Also, he is members of ASTM D35 and ISO TC221 on geosynthetics from 1998. Now he is elected the 32nd President of Korean Fiber Society (2014~2015). He has published 117 papers and more than 742 papers in domestic and international conferences. Also, he wrote 18 texts including 'GEOSYNTHETICS’ and also published 98 papers in domestic & international journals. He has awards of Marquis Who'sWho - Science and Engineering in 2003~2014 and Top 100 Scientists in the World: 2005/2011 of IBC (International Biographical Centre, UK). Also, he got the 33rd Academy Award of Korean Fiber Society in 2006 and “Excellent Paper Award of 2012” by The Korean Federation of Science and Technology Societies. Area of Specialization Manufacturing, Application and Evaluation of Technical Organic Materials Manufacturing, Evaluation, Standardization & Regulation of Geosynthetics Polymeric Geocomposites etc.
Prof. Hui Ming Wee
Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taiwan
Biography: Professor Hui-Ming Wee is an Adjunct Chair Professor in the Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taiwan. He has received his B.S. degree (honors) in Electrical and Electronics Engineering from Strathclyde University (UK), M. Eng. from Asian Institute of Technology (AIT), and Ph.D. in Industrial Engineering from Cleveland State University, Ohio (USA). He has received an excellent research award from the Ministry of Science & Technology, excellent life researcher award and the Medal for Distinguished Industrial Engineer Award from the Chinese Institute of Industrial Engineers. He has published more than 500 papers in refereed journals, international conferences and book chapters. He is the Editor-in-Chief for the Journal of Ubiquitous Computing and Communication Technologies, Guest Editor for Journal of Cloud Computing, on ‘Cloud Information Technologies in Education’, Guest Editor for International Journal of Lean Six Sigma, on “How Lean Six Sigma Improve Organizational Resilience post COVID-19. Recently (2020), listed top 2% scientists of the world in Operations Research discipline.
Speech Title: Environmental friendly supply chains under carbon cap scheme
Speech Abstract: Due to increasing environmental concerns and stricter legislations, we take a fresh look at the impact of logistics on the environment. The study investigates the trade-off between transportation cost and carbon emission in freight consolidation and containerization problem. We determine the types and quantities of containers and trucks that will result in an environmental friendly supply chain, and then apply the model in a real-world business case. The objective of the talk is to investigate how carbon cap scheme can sustain environment. We will discuss the background and motivation and the problem we are facing due to increasing environment issues, such as carbon emissions and climate change. Then research problem and scopes will be developed in a framework. Literature review will be done to survey the current research regarding sustainable supply chains under carbon cap scheme. Conclusion remarks and managerial insights will be provided at the end.
Prof. Alexander Vasiliev
Nuclear Safety Institute of the Russian Academy of Sciences (IBRAE), Russian
Biography: Alexander Vasiliev was born in 1962. In 1985 I finished Moscow Physico-Technical Institute. In 1988 I finished post-graduate courses attached to I.V.Kurchatov Atomic Energy Institute, Moscow. I defended my thesis in 1989. Since 1989 I worked at Nuclear Safety Institute, Moscow. Also, I teach students at Moscow Institute of Physics and Technology. My areas of interest include the safety of nuclear power plants (NPPs) especially NPPs with Russian type water-water energetic reactors (VVERs), analytical and numerical modeling of physical and chemical phenomena during NPPs accidents including fuel cladding oxidation, propagaion of impurities in geological media in the vicinity of radioactive waste burial places. I have about 100 scientific publications.
Speech Title: Application of New Perspective Materials as Advanced Tolerant Fuel Cladding Materials in Nuclear Reactors of Future Generation
Speech Abstract: Currently, the comprehension among the specialists and functionaries throughout the world is getting stronger that the nuclear industry can encounter serious difficulties in development in the case of insufficiently decisive measures to enhance the safety level of nuclear objects and to ensure clean energy and green world. The keen competition with renewable energy sources like wind, solar or geothermal energy takes place presently and is expected to continue in future decades. One of main measures of nuclear safety enhancement could be a drastic renovation of materials used in nuclear industry.
The analytical models of high-temperature oxidation of new perspective materials including chromium-nickel-based alloys, zirconium-based cladding with protective chromium coating, FeCrAl alloys and composite claddings on the basis of SiC/SiC in the course of design-basis and beyond-design-basis accidents at nuclear power plants (NPPs) are developed and implemented to severe accident computer running code. The comparison with available experimental data is conducted.
The preliminary calculations of nuclear pressurized water reactor loss-of-coolant accidents with new types of claddings demonstrate encouraging results for hydrogen generation rate and integral hydrogen production. It looks optimistic for considerable upgrade of safety level for future generation NPPs using new fuel and cladding materials.
The best ATF cladding candidates and current ATF experiments throughout the world will be discussed in the presentation.
Dr. Md. Iqbal Hossain
Department of Chemical Engineering, Bangladesh University of Engineering and Technology, Bangladesh
Biography: Dr. Md. Iqbal Hossain has obtained his Ph.D. in Chemical Engineering from Nanyang Technological University, Singapore (NTU-sg). He has undergone Advanced Trainings on Emerging Areas in the University of Twente (The Netherlands), University of Wuppertal (Germany), Stockholm Environment Institute (Sweden) and University Technology Malaysia (Malaysia) as Continual Professional Development. Dr. Hossain is currently an Associate Professor at the Department of Chemical Engineering in BUET. He teaches both undergraduate and postgraduate courses and lead research in the core and advanced areas. He has authored a reasonable number of referred book, journal and conference publications. He has been serving as a reviewer for a number of international journals and conferences. Dr. Hossain is a Senior Member and International Student Chapter Advisor of the American Institute of Chemical Engineers (known as Global Home of Chemical Engineers) and has served as a Judge in Prestigious Global Student Competitions.
Prof. Ahmed Mourtada Elseman
Department of Electronic and Magnetic Materials, Central Metallurgical Research & Development Institute (CMRDI), Egypt
Biography: Ahmed Mourtada Elseman, he is obtained his B.Sc., M.Sc., and Ph.D. in Inorganic and Analytical Chemistry from Faculty of Science, Al-Azhar University, Egypt. He was awarded his Ph.D. in perovskite solar cells (February 2017). Also, he obtained two diplomae from Inner Mongolia Institute of Scientific and Technological, Hohhot, China 2015, and the second one from the Institute of New Energy, Wuhan, China, 2017. He works as Research Assistant Professor at the Department of Electronic and Magnetic Materials, Central Metallurgical Research & Development Institute (CMRDI), Egypt. He is awarded Talent Young Scientific (TYSP) Postdoctoral Research Fellow position funded by the Chinese Ministry of Science and Technology (MOST) and organized by North China Electric Power University, Beijing, China, 2017-2018. Then, he received a lecturer position in the School of Materials and Energy, Southwest University, Chongqing. China (2018 – 2020). During his work at Southwest University, he received a project funded by Central Universities for efficient perovskite solar cells (ID: XDJK2019C005). He is awarded the CMRDI prize for excellence scientific publication (2018). His current research focuses on understanding the mechanisms, fundamental properties, and developing scalable protocols for high-efficiency perovskite solar cells. He is a reviewer and member of the editorial board for some journals.
Speech Title: Recent Trends Towards Low-cost Solar Cell
Speech Abstract: Perovskite solar cells (PSCs) have certified efficiencies up to now around 25.5 %. This achievement is achieved in the presence of expensive organic hole‐transporting materials. In contract, inorganic hole‐transport materials (HTMs) are still crucial and less used because the problem of solution processing. PSCs based on inorganic HTMs would reduce the cost associated with higher mobility and stability. In this way, the application of Cu2O in PSCs as top layer is still complicated due to the difficulty of solution processing. Herein, a solution‐processing technique is applied for preparing Cu2O nanocubes as a new p‐type HTL in regular structure (n‐i‐p) PSCs. Cu2O nanocubes is achieved in a size range of 60–80 nm without using any surfactants, which are usually toxic and tricky to remove. Cu2O nanocubes with new structure enhances the carrier mobility with preferable energy alignment to the perovskite layer and superb stability. The PSCs based on this Cu2O nanocubes as HTMs could achieve higher efficiency exceeding 17 % with high stability, whereas organic P3HT‐based PSCs display an efficiency of 15.59 % with less stability. Finally, Cu2O nanocubes is indicates that a promising HTM for efficient and stable PSCs.
Prof. Dariusz Jacek Jakóbczak
Department of Electronics and Computer Science, Koszalin University of Technology, Poland
Biography: Dariusz Jacek Jakóbczak was born in Koszalin, Poland, on December 30, 1965. He graduated in mathematics (numerical methods and programming) from the University of Gdansk, Poland in 1990. He received the Ph.D. degree in 2007 in computer science from the Polish – Japanese Institute of Information Technology, Warsaw, Poland.
From 1991 to 1994 he was a civilian programmer in the High Military School in Koszalin. He was a teacher of mathematics and computer science in the Private Economic School in Koszalin from 1995 to 1999. Since March 1998 he has worked in the Department of Electronics and Computer Science, Koszalin University of Technology, Poland and since October 2007 he has been an Assistant Professor in the Chair of Computer Science and Management in this department. His research interests connect mathematics with computer science and include computer vision, artificial intelligence, shape representation, curve interpolation, contour reconstruction and geometric modeling, numerical methods, probabilistic methods, game theory, operational research and discrete mathematics.
Speech Title: Interpolation and Extrapolation of Curves and Functions
Speech Abstract: Artificial Intelligence is applied for prediction and calculations of unknown values of data or coordinates. Decision makers, academicians, researchers, advanced-level students, technology developers, and government officials will find this text useful in furthering their research exposure to pertinent topics in AI, computer science, numerical analysis or operations research and assisting in furthering their own research efforts in these fields. Proposed method, called Two-Points Smooth Interpolation (TPSI), is the method of 2D curve interpolation and extrapolation using the set of key points (knots or nodes). Nodes can be treated as characteristic points of data for modeling and analyzing. The model of data can be built by choice of probability distribution function and nodes combination. TPSI modeling via nodes combination and parameter γ as probability distribution function enables value anticipation in AI, risk analysis and decision making. Two-dimensional curve is extrapolated and interpolated via nodes combination and different functions as continuous probability distribution functions: polynomial, sine, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan, arc cot or power function.