Keynote Speakers


Prof. Mijia Yang
Department of Civil Engineering, North Dakota State University, USA

Biography: Dr. Yang has practiced teaching and research broadly in structural engineering. He has taught Steel Design, Dynamic of Structures, and several others for the last 5 years. His research concentrates on impact and blast protection with advanced engineering materials, multi-scale modeling of composite and concrete materials, smart health monitoring in Civil Infrastructure, and self-healing concrete. His representative work included developing a systematic design method for impact barriers, a unified fatigue criterion for uniaxial Polyurethane E-Glass composite laminates, damage detection through guided wave, and a creep design methodology for Epoxy bonded anchor systems. Dr. Yang has participated in several state and national projects during his career, including “Effect of intermediate diaphragms on prestressed concrete bridge girders for over-height truck impacts” and “Testing of window connections specially designed for blast loading”. Dr. Yang also won several national and international awards, including the Philip E. Rollhaus, Jr. Roadway Safety Essay Contest held by Quixote in 2005, the faculty research award at the University of Texas at San Antonio in 2007, the ASCE travel award in 2005, and the ASCE Journal of Aerospace Engineering Outstanding Reviewer award in 2012. Dr. Yang is currently serving as the associate editor of Journal of Materials in Civil Engineering, ASCE, and has more than 100 publications, including journal papers, conference papers, and reports in the field of composites, structural testing and characterization.


Prof. Alexey Kolesnikov
Department of Cartography and Geoinformatics, Siberian State University of Geosystems and Technologies, Russia
Title: Modeling of Traffic Flows and Supply Chains Based on Geospatial Knowledge

Abstract: The field of logistics and transport operates with large amounts of data. The transformation of such arrays into knowledge and processing using machine learning methods will help to find additional reserves for optimizing transport and logistics processes and supply chains. This article analyzes the possibilities and prospects for the application of machine learning and geospatial knowledge in the field of logistics and transport using specific examples. The long-term impact of geospatial-based artificial intelligence systems on such processes as procurement, delivery, inventory management, maintenance, customer interaction is considered.
Biography: Prof. Alexey Kolesnikov is associate professor in the Faculty of Cartography and Geoinformatics of Department of Cartography and Geoinformatics, Siberian State University of Geosystems and Technologies, Russia from 2014. He got his Ph.D in Cartography from Siberian State Academy of Geodesy, Russia in August 2013. 15+ years experience in Design, Development, Implementation and Deployment of Geoinformation systems and Spatial DBMS through numerous Academic and Industrial collaborative projects. Solid background in Digital Cartography and Spatial Analysis. His main research area is use of Artificial Intelligence technologies and Mathematical Modeling for processing and analyzing Spatial data. Current projects: GIS to improve the efficiency of HPP Simulation Model, Forecasting Disease in Tropical zones, Distributed DBMS for Spatial data Processing, NLP for Mapping. He worked as Member of ICA Commission on Sensor-driven Mapping, Member of ISPRS since 2016, Member of OGC since 2014, RGS and AGS Member in 2015. Invited reviewer for Canadian Journal of Remote Sensing, UK (2020-present) and BMJ Open, UK (2020-present).


Prof. Javad Abolfazli Esfahani
Mechanical Eng. Dept., Ferdowsi Univ. of Mashhad, Iran

Biography: Javad Abolfazli Esfahani (Iran 1960), Ph.D. in Mechanical Engineering from the University of New Brunswick (UNB), Canada in 1997, is a professor in Mechanical Engineering, Energy conversion, at Ferdowsi University of Mashhad, Iran. To date, he has published 6 books/chapters, 191 articles in peer-reviewed international journals and more than 100 conference papers. He has worked on theoretical and numerical heat and mass transfer, such as combustion and fire propagation. Prof. Esfahani was a member of the executive committee of the Iranian Combustion Society for two periods of time. He is a member of the Combustion Institute, Iranian combustion Institute, and Iranian society of mechanical Engineering, Director of Center of Excellence in Energy Management, Certified by National Iranian Oil Company (NIOC), Centre of excellence in modeling and control of system, Ferdowsi University of Mashhad, Centre of excellence in energy conversion, Sharif University of Technology, He has experienced the editorial boards of journal of Fuel and Combustion, IRECHE, and Journal of Heat and Mass Transfer Research. He was a chair of the Sixth Fuel and Combustion Conference of Iran, was held at the Ferdowsi University of Mashhad on Feb 16-17, 2016. He obtains 14 awards for books, research, and supervisor of thesis from ISME, Ferdowsi festival, and Iranian combustion society. He is awarded by Brain Pool Program, National Research Foundation of South Korea, to pursue his research at PNU in 2020. He has supervised 14 Ph.D. and 105 MSc theses.


Dr. Ranjit Singh Sarban Singh
Faculty of Electronic and Computer, Universiti Teknikal Malaysia Melaka (UTeM), Malaysia
Title: Constructive of Multi-Renewable Energy Resources Controller Modelling and Simulation – Simulink MATLAB

Abstract: Renewable energy-based systems have been implemented all around the world. The renewable energy-based systems are seen as one of the most promising replacement to the diminishing of the fossil fuel resources. Also, the renewable energy-based systems are seen very helpful in term of reducing the greenhouse effect that are affecting the world temperature. With many promising outcomes when the renewable energy-based systems are implemented, therefore, to improve the integration of two or more renewable energy resources as a system is seen as a promising path to achieve higher output productivity. Hence, this research presents the modelling and simulation of a controller for renewable energy resources using the Simulink-MATLAB. The modelled controller is able to be connected to two or more renewable energy resources and the output of each renewable energy resources are systematically managed for either supply to the connected LOAD or battery charging/discharging.
Biography: Dr. Ranjit Singh Sarban Singh is a Senior Lecturer at Department of Computer Engineering in the Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), a position he held since 2015. He has served as Tutor from 2008 – 2010, lecturer from 2010 – 2015. He is attached to the Advanced Sensors & Embedded Control (ASECs) Research Group, Centre of Telecommunication, Research & Innovation (CeTRI) for his research activities. He received his PhD in General Control System Engineering (Renewable Energy System Management) from Brunel Universiti London, United Kingdom. He received his MEngSc in Computer Engineering (By Research) from Multimedia University Melaka, Malaysia in 2010. He received his BEng (Honours) in Electonics Engineering (Computer Engineering) from Kolej Universiti Teknikal Malaysia Melaka (KUTKM), Melaka, Malaysia in 2006. During his service at UTeM from 2008 – present, he thought numerous computer engineering subjects such as microprocessor technology, engineering mathematics, microcontroller technology, embedded system design, digital system, principles of electrical and electronics and some other computer engineering related subjects. He received his Diploma in Computer Technology from Politeknik Seberang Perai (PSP), Pulau Pinang, Malaysia in 2004. Ir. Dr. Ranjit Singh is registered as Professional Engineering (PE) with Board of Engineers Malaysia (BEM). He is also registered as Chartered Engineer of IET (UK), IntPE (UK) and Professional Engineer (UK). His research interest spans several different disciplines: Renewable Energy System Management, Battery Energy Storage Management, Embedded System Design, Energy Management Algorithm, and Consumers Electronics System Design. He has actively pursued research in these fields and published more than 60 journals and conference papers and filed 5 patents application nationally, granted 1 trademark nationally. He has organized and chaired international conference and continue to serve as a member of several scientific and organizing committees of international journals and conference. He continues to review journal and conference papers manuscript for various international journals and conferences. He has been principal researcher for numerous research grants from National and University. He has also won more than 10 national and international innovation and invention awards.