2023 International Conference on Physics, Computing and Mathematical (ICPCM2023)

Prof. Lazim Abdullah, Universiti Malaysia Terengganu, Malaysia
Lazim Abdullah is a Professor of Computational Mathematics at the Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu. He obtained his first degree from University of Malaya, in June 1984 and a master’s degree from the Universiti Sains Malaysia in 1999. He received his Ph.D from the Universiti Malaysia Terengganu, in 2004. His research and expertise focuses on fuzzy set theory of mathematics, decision making, applied statistics, and their applications to social ecology, environment, health sciences and management. His research findings have been published in more than 350 publications including refereed journals, conference proceedings, chapters in book, monographs, and textbooks. He was ranked among the world’s top 2% scientists for single year 2019 by Stanford University in the field of artificial intelligence and image processing. Currently, he is the Head of Data and Digital Sciences Research Cluster at the Universiti Malaysia Terengganu. Prof Lazim is a member of the IEEE Computational Intelligence Society, and member of International Society on Multiple Criteria Decision Making.

 

Speech Title: An integrated interval-valued intuitionistic fuzzy vague set and their linguistic variables

Abstract: Interval-valued intuitionistic fuzzy sets and vague sets are two sets that commonly used in expressing vague and uncertain information. Despite their commonality, these two sets are characterized by different memberships.  Interval-valued intuitionistic fuzzy sets are characterized by membership and non-membership with the sum of these memberships are less or equal than one.  On the other hand, vague sets are characterized by either truth or false memberships with no clear-cut values of their sum.  However, these two sets have shown a great extent of superiority in dealing with uncertain and imprecise information despite differences in the memberships. Therefore, it is a worthy effort to develop a new generic set by combining these two sets; interval-valued intuitionistic fuzzy sets and vague sets. In this paper, the notion of interval-valued intuitionistic fuzzy vague sets (IVIFVS) is proposed where membership and non-membership of interval-valued intuitionistic fuzzy sets are combined with truth-membership and false-membership of vague sets.  To complement this new definition, several mathematical propositions, algebraic relations, and arithmetic operations of IVIFVS are presented.  Moreover, a new linguistic variable of IVIFVS with five linguistic scales that normally used in solving multi-criteria decision-making problems are developed. Some examples are provided to illustrate the conceptual definitions and linguistic variables of the new sets.

 

Prof. Roberto Montemanni, University of Modena and Reggio Emilia, Italy
Roberto Montemanni is full professor of operations research at the University of Modena and Reggio Emilia, Italy. He also acts as an external research advisor at the Dalle Molle Institute for Artificial Intelligence, University of Lugano, Switzerland. He obtained a Laurea degree in Computer Science from the University of Bologna, Italy and a Ph.D. in Applied Mathematics from the University of Glamorgan, UK. He has been administrating grants for millions of Euros and leading basic and applied research projects both at national and international levels. His main research interests are in the fields of mathematical modeling, algorithms and machine learning, with applications mainly in transportations, logistics and bioinformatics.

Speech Title: Logistics and Drones

Abstract: Unmanned vehicles, and aerial drones in particular, are becoming of great interest in many sectors ranging from precision agriculture to catastrophic events management and freight delivery.  Logistics operators are concretely considering the use of these vehicles for deliveries to customers, due to the potential economical advantages and flexibility of such a solution. In this talk we will evaluate the impact of drones, when used together with traditional vehicles like trucks, from an economic/optimisation perspective.  We will describe the “traveling salesman problem with drone” and we will discuss how to solve it through mathematical programming and metaheuristic algorithms. By analysing the results achieved on realistic instances, we will then quantify the theoretical economical gain that a Company can achieve by employing drones. Final considerations close the talk.

 

Prof. Dr. Anand Nayyar, Duy Tan University, Da Nang, Viet Nam
Dr. Anand Nayyar (Academician, Researcher, Author, Writer, Inventor, Innovator, Scientist, Consultant and Orator) received MCA from Punjabi University, Patiala in 2008 with Gold Medal and Distinction, M.Phil (Computer Science) in 2009 with 1st Division from V.M.U, Tamil Nadu, M.Tech (Information Technology) in 2011 with 1st Divison cum Distinction and University Topper, MBA (Information Systems) with 1st Division from Sikkim Manipal University, Manipal. He did Ph.D. in Computer Science from Desh Bhagat University, Mandi Gobindgarh in 2017 in Wireless Sensor Networks, Swarm Intelligence, and Network Simulation. (Topper in Course Work). A Certified professional with 75+ International & Globally Recognized Professional Certifications from various IT Giants. Published 300+ Research Papers in various National and International Conference’s and various International Referred Journals (Scopus, SCI/SCIE/SSCI) and even Reputed IT Magazines like Open Source for You and Electronics for You. He has published 22 Books in different subjects of Computer Science.

 

Dr. Muhammad Arif Shah, Universiti Teknologi Malaysia (UTM), Malaysia
Experienced Assistant Professor with a demonstrated history of working in the higher education industry. Skilled in Data Analytics, R, Motivational Speaking, Team Motivation, and Python (Programming Language). Strong education professional with a Doctor of Philosophy - PhD focused in Data Science and Software Engineering from Universiti Teknologi Malaysia.Total Experience: 11+ Years. Assistant Professor at Pak-Austria, Pak-Austria Fachhochschule Institute of Applied Sciencesand Technology, Mang Khanpur Road Haripur, Pakistan ( Feb 3, 2020 to Present) •Sr. Lecturer/Postdoc (Teaching & Learning) at Universiti Teknologi Malaysia (from 19th Sept.2019 to 31 January 2020) •Assistant Professor at City University of Science and Information Technology Peshawar,Pakistan (Feb. 2015 to 30 September 2019).