2024 3rd International Conference on Engineering Management and Information Science(EMIS2024)
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Prof. Witold Pedrycz

Department of Electrical and Computer Engineering

University of Alberta, Edmonton, Canada 

Research Area:

computational intelligence, fuzzy modeling and granular computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks, and control engineering


Witold Pedrycz (Life Fellow, IEEE) is currently a Professor and the Canada Research Chair (CRC) of computational intelligence with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland. He has published several in these areas; the current H-index is 109 (Google Scholar) and 82 on the list top-h scientists for computer science and electronics https://www.guide2research.com/scientists/. He is also the author of 18 research monographs andedited volumes covering various aspects of computational intelligence, data mining, and software engineering.,In 2009, he was elected a Foreign Member of the Polish Academy of Sciences. In 2012, he was elected a fellow of the Royal Society of Canada. In 2007, he received the Prestigious Norbert Wiener Award from the IEEE Systems, Man, and Cybernetics Society. He is a member of several editorial boards of international journals. He is a recipient of the IEEE Canada Computer Engineering Medal, the Cajastur Prize for Soft Computing from the European Centre for Soft Computing, the Killam Prize, and the Fuzzy Pioneer Award from the IEEE Computational Intelligence Society. He is vigorously involved in editorial activities. He is the Editor-in-Chief of Information Sciences and WIREs Data Mining and Knowledge Discovery (Wiley) and the Co-Editor-in-Chief of International Journal of Granular Computing (Springer) and Journal of Data Information and Management (Springer). He serves on an advisory board of IEEE Transactions on Fuzzy Systems.


Assoc. Prof. Victor Fernandez-Viagas

Department of Industrial Organization and Business Management, 

University of Seville, Spain

Research Area:

Production Scheduling; Production Management; Forecasting; Statistics; And Product Development

Speech Title:

Information integration in the Industry 4.0: exploring the benefits of scheduling


The technological advances recently brought to the manufacturing arena (collectively known as Industry 4.0) offer huge possibilities to improve decision making processes in the shop floor by enabling the integration of information in real time. Among these processes, scheduling is often cited as one of the main beneficiaries, given its data intensive and dynamic nature. However, in view of the extremely high implementation costs of Industry 4.0, these potential benefits should be properly assessed, also taking into account that there are different approaches and solution procedures that can be employed in the scheduling decision making process, as well as several information sources (i.e. not only shop floor status data, but also data from upstream/downstream processes). We do so by considering a common shop floor layout (i.e. the flowshop) and defining different scenarios formed by a combination of (rescheduling approaches, solution procedures and objective functions, as well as different data sources.


Dr. Víctor Fernández-Viagas Escudero is Associate Professor in the Department of Industrial Organization and Business Management I of the University of Seville and part of the Industrial Organization Research Group TEP-134. His research topics are related to planning and scheduling in both manufacturing and health care systems. He has published 35 papers (23 as first author) in JCR journals with a high impact factor in the last five years (all of them in the first or second quartile). His Scopus h¬-index is 18 (950 citations). In addition, he has been Investigator in 11 regional/national research projects and 7 transfer projects. He is the author or coathor of around 50 communications in national or international conferences in the last years. He was TPC in International Conference on Artificial Intelligence and Applications 2021 and is editor of two spetial issues in Sustainability and Mathematics. Finally, he has taught around 110 ECTS at the University of Seville in lectures related to: production scheduling; production management; forecasting; statistics; and product development. He is also coordinator of an education project at the University of Seville and has participated in another two education projects.

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Assoc. Prof. Mustafa Man

Universiti Malaysia Terengganu, Malaysia

Research Area:

Database, Internet of Things (IOT), Image Processing, Data Mining

Speech Title:

MDFA: A New Multiple Dynamic Flip Algorithm for Mobile-Based Apps Development


MDFA is a new algorithm in developing mobile-based applications. The algorithm developed allows the data to be stored in the database and the administration of the system can only change the data according to the categories of data that have been systematically arranged in the database. The modified custom data will continue to be updated through the mobile application that has been developed. This method allow changes to the information and data to be done automatically without requiring users to run back to mobile-based programming. For information, usually the process of updating information needs to be generated back in mobile-based programming and needs to be uploaded back in the play store or apple store and users must download the application software back. By using this MDFA algorithm, the problem is no longer needed and can be solved more quickly. This MDFA has been used in the development of two mobile-based applications, namely eMobile Pameran Anti Dadah and BOM-Bread on Mobile.


Mustafa Man is an Associate Professor at Faculty of Ocean Engineering Technology & Informatics, Universiti Malaysia Terengganu (UMT). He started his service with UMT on 2nd February 2006. He was appointed as Deputy Director of Research Management and Innovation Centre, UMT started from 1 November 2016 until now. On 1st April 2013, he was appointed as General Manager for UMT Jaya Holdings Sdn. Bhd.

until Mar 2016 and Business Advisor to Vice Chancellor UMT from 1 April 2013 until Mar 2015. In 2012, he has been awarded a “MIMOS Prestigious Awards” for his PhD by MIMOS Berhad. He was selected as the winner of this award is a very diligent student, working diligently to complete his PhD studies. He has shown a strong and in depth interest in the field of research and development based on the integration of multiple types of databases. He has successfully completed his studies in the period of not exceeding 3 years. He also was awarded the Best PhD Graduate by UTM and also received a special benefit in term of Research Grant of RM 10,000 as the incentive scheme by UMT. For the research grant holder with UMT,total of 26 research grants were obtained through e-Sciencesfund, FRGS Grants, Non-Governmental Organizations (NGOs), Cradle Investment Programme (CIP), and industries grant which amounted to more than RM 1.5 million. He led more than 10 of the research grants, 14 as co-researchers and 2 of which are in collaboration with UTM. At national and international level, he has won numerous awards at international competitions Malaysia and product design and innovation beginning with his participation in 2007 until now. During this period he has received 18 Gold, 27 Silver and 18 Bronze contests in Hari Inovasi@UMT, SciTech@FST, Malaysia Technology Expo (MTE), International Technology Expo (ITEX), BioMalaysia, PECIPTA, GENEVA, BIS-LONDON, SIIF, WIAF, CIGIF Korea includes PEREKA organized by Universiti Malaysia Sabah (UMS). At university level, he has been awarded the Anugerah Pemimpin Akademik Muda (Pemindahan Ilmu) in 2013 and also Young Scientist Award (Best Young Scientist Award) by Universiti Malaysia Terengganu in 2010 for his contributions and accomplishments to be proud of during his service with UMT. This achievement is one of the highest achievements of the university that gives recognition to officers who give of their best for the university. On top of that, he was eligible for a certificate and gratitude for his outstanding service in 2008 and 2009. He has been appointed as ICT Consultant to several companies such as MECIP Global Engineer Sdn. Bhd. and One Team Networks Sdn Bhd. who needs advice and guidance in the field of Information Technology and Communications.

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Assoc. Prof. Yuriy Shvets

Financial University under the Government of Russian Federation

Department of Economical Theory, Russia

Research Area:

Economic values of health care system security, assessment of the quality of economic systems, methods of assessing the consumer basics of service value and social development of states. 


The diploma of higher education was obtained in 2010. The dissertation was approved in 2010 and was related to service quality assessment. Between 2010 and 2020, more than 200 publications were published.A study related to the evaluation of the economic security of the national health system (methodology and improvements) is being prepared for the defense. Brief information about the work From 2013: Financial University under the Government of the Russian Federation 

Associate Professor, Department of Economic Theory

Lecturing and conducting seminars in the following subjects:

1) Institutional economics;

2) Macroeconomics;

3) Macroeconomics (advanced course);

4) The history of economic doctrines;

5) Microeconomics.

Optional courses development:

1) Quality management in medical institutions.

2) Models of transformation of the countries of Central and Eastern Europe.

Speech Title:

The security and privacy basics in medical 


The security and privacy basics in medical informaticsshould be studied separately from the mankind society. state,and global information security system, and withtheir mutual determinacy and permanent interaction consideration. Conceptualise patient safety strategies in theimportance current diagnostic and treatmentenvironment in medical informatics. Security and privacy solutions in medical informaticsinvolve improving the process structure, the processitself, and the medical care outcome Management: 1) physician skills analysis, equipment and nursing staffprovision,organizational and funding conditionsassessment, which together characterize the structurequality; 2) diagnostic and treatment activities assessment, i.e..the process quality; 3) the outcome quality analysis

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Assoc. Prof. Yun Fong LIM 

Lee Kong Chian School of Business, Singapore Management University, Singapore

Research Area:

E-Commerce and Marketplace Analytics, Online Platforms, Warehousing and Fulfillment, Sustainable Urban Logistics, Flexible Workforce and Resource Management

Speech Title:

Optimal Policies and Heuristics To Match Supply With Demand For Online Retailing


We consider an online retailer selling multiple products to multiple zones over a single period. The retailer orders the products from a single supplier and stores them at multiple warehouses. At the start of the selling period, the retailer determines the order quantities of the products and their storage quantities at each warehouse subject to its capacity constraint. At the end of the period, after knowing the demands, the retailer determines the retrieval quantities from each warehouse to fulfill the demands. The retailer’s objective is to maximize her expected profit. For the single-zone case, we solve the problem optimally. The optimal retrieval policy is a greedy policy. We design a polynomial-time algorithm to determine the optimal storage policy, which preserves a nested property: Among all non-empty warehouses, a smaller-index warehouse contains all the products stored in a larger-index warehouse. The optimal ordering policy is a newsvendor-type policy. The problem becomes intractable analytically if there are multiple zones and we propose an efficient heuristic to solve it. This heuristic involves a non-trivial hybrid approximation of the second-stage expected profit. The heuristic is data driven, which uses demand samples as inputs to solve the problem without knowing the true demand distributions. Our numerical experiments suggest that this heuristic achieves a larger profit in a much shorter time compared to state-of-the-art approaches. The advantage of our heuristic becomes more obvious as the tail of the demand distribution becomes fatter or as the problem size becomes larger, clearly showing the heuristic’s efficiency. A case study based on data from a major fashion online retailer in Asia further confirms the superiority of the heuristic. With flexible fulfillment, our heuristic improves the efficiency by 28% on average compared to a dedicated policy adopted by the retailer.


Yun Fong LIM is Associate Professor of Operations Management at the Lee Kong Chian School of Business, Singapore Management University (SMU). He is also Academic Director of the MSc in Management (MiM) Program at SMU. He has been a Chang Jiang Chair Professor, an MPA Research Fellow, a Lee Kong Chian Fellow, and an NOL Fellow. Yun Fong’s research has appeared in Operations Research, Management Science, Manufacturing and Service Operations Management, and Production and Operations Management. He has delivered keynote and plenary speeches in several international conferences. In addition, his work has received funding by MOE, A*STAR, and NNSF, and media coverage by The Business Times, CNA938, and Channel 8. His current research interests include e-commerce and marketplace analytics, online platforms, warehousing and fulfillment, sustainable urban logistics, and flexible workforce and resource management. Yun Fong serves as Senior Editor for Production and Operations Management and Associate Editor for Naval Research Logistics.

Yun Fong is a recipient of the SMU Teaching Excellence Innovative Teacher Award. He teaches both undergraduate and postgraduate courses in Operations Management. He has provided consulting service and executive development to corporations such as Alibaba, Maersk, McMaster-Carr Company, Resorts World Sentosa, Schneider Electrics, Temasek Holdings, and Zalora. Yun Fong obtained both his PhD and MSc degrees in Industrial and Systems Engineering from the Georgia Institute of Technology.