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ICO 2025(ONSITE event)
JULY 24-25, 2025


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Innovative global optimization approaches have attracted many research scientists, decision makers, managers, executives, engineers, academicians, officers and practicing researchers in recent years as powerful intelligent computational techniques for solving several complex real-world application problems.

The International Conference on Intelligent Computing and Optimization (ICO’2025) highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modeling uncertain and unpredictable real-world problems.

Important Dates

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Important Dates

Workshops/Tutorial Proposals 20 March 2025  
Full paper/ Posters/ Demos      25 JULY 2025
Acceptance Documentation     15 August  2025             

Camera ready deadline            02 September 2025                  



Important Dates

All accepted and reviewed papers will be published by Springer and made available through Springer-Link Digital Library, one of the world's largest scientific libraries.

Paper Submission

Important Dates

Proceedings Publication

The proceeding is submitted for inclusion to the leading indexing services: ERA, CPCI Web of Science,  DBLP, Google Scholar, Clarivate Web of Science, Cross Ref, Scopus, as well as Springer Book Series. The accepted and reviewed papers of ICO 2024 will be published in the Springer Nature LNNS.
Best and high quality papers will be selected and reviewed by IPC in order to publish extended version of the paper in SCOPUS and WoS/ISI/ESCI journals



Important Dates

All fees will be collected in US dollars

Standard Registration  
Student Registration    
Additional Paper
(maximum 2 papers)    
Listener Registration
150 USD
100 USD    

050 USD   
100  USD
Please kindly contact us for more details at Professional Official

Keynote Speakers

 AI + Healthcare: My Journey from Research to Deployment

Professor Dr. Gary Chan;

The Hong Kong University of Science and Technology (HKUST), Hong Kong, China                  

Dr. S.-H. Gary Chan is currently Professor of the Department of Computer Science and Engineering, The Hong Kong University of Science and Technology (HKUST), Hong Kong.  He is also Affiliate Professor of Innovation, Policy and Entrepreneurship Thrust in HKUST (GZ), and Board Director of Hong Kong Logistics and Supply Chain MultiTech R&D Center (LSCM).  He received MSE and PhD degrees in Electrical Engineering with a Minor in Business Administration from Stanford University (Stanford, CA), and obtained his B.S.E. degree (highest honor) in Electrical Engineering from Princeton University (Princeton, NJ) with certificates in Applied and Computational Mathematics, Engineering Physics, and Engineering and Management Systems.  His research interests include smart IoT and sensing systems, location AI and mobile computing, video/user/data analytics, cloud and edge AI, technology transfer and IT entrepreneurship.

Professor Chan has been an Associate Editor of IEEE Transactions on Multimedia, and a Vice-Chair of Peer-to-Peer Networking and Communications Technical Sub-Committee of IEEE Comsoc Emerging Technologies Committee.  He has been Guest Editor of ACM Transactions on Multimedia Computing, Communications and Applications, IEEE Transactions on Multimedia, IEEE Signal Processing Magazine, IEEE Communication Magazine, etc.  He was a steering committee member and TPC chair of IEEE Consumer Communications and Networking Conference (IEEE CCNC), and area chair of the multimedia symposium of IEEE Globecom and IEEE ICC for many years.

Through technology transfer and entrepreneurship, Professor Chan has successfully transferred and deployed his research results in industry and co-founded several startups.  Due to their innovations, commercial and societal impacts, his technologies have received numerous local and international industrial awards. He received Hong Kong Chief Executive's Commendation for Community Service for "outstanding contribution to the fight against COVID-19" in 2020.  He is the recipient of Google Mobile 2014 Award and Silver Award of Boeing Research and Technology.  He was a visiting professor or researcher in Microsoft Research, Princeton University, Stanford University, and University of California at Davis.  At HKUST, he was Director of Entrepreneurship Center, Director of Sino Software Research Institute, Co-director of Risk Management and Business Intelligence program, and Director of Computer Engineering Program.  He was a William and Leila Fellow at Stanford University, and the recipient of the Charles Ira Young Memorial Tablet and Medal and the POEM Newport Award of Excellence at Princeton University.  He is elected Fellow of Sigma Xi (FSX) and Chartered Fellow of The Chartered Institute of Logistics and Transport (FCILT).









Machine Learning and Artificial Intelligence for Biomedical Applications

Professor Dr. Ahmed Wasif Reza

Department of Computer Science & Engineering (CSE)
East West University, Bangladesh

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Ahmed Wasif Reza (Ph.D., M.Eng.Sc., B.Sc. Engg. (Hons.), CEng (UK)) is a Professor at the Department of Computer Science and Engineering (CSE), East West University (EWU), Bangladesh. Moreover, he is currently the Additional Director, Quality Assurance, Institutional Quality Assurance Cell (IQAC). Additionally, he is also serving as Moderator of the EWU Robotics Club and Advisor of the IEEE Computer Society, Student Branch Chapter, EWU. Besides, he is a Professional Activity Coordinator, IEEE Computer Society Bangladesh Chapter, 2023. He was also appointed as Chairperson as well as Acting Chairperson of the CSE department until August 2019. He is the Chair of the Continuous Quality Improvement (CQI) Committee of the Department of CSE, East West University. Being an academic staff, he is actively involved in teaching, research, accreditation, and development works of the department. Previously, he was attached to the University of Malaya, Malaysia (which is the no. 1 public research university in Malaysia and a top 100 QS World Ranking University) for almost 8 years where his last position was Senior Lecturer (equivalent to Assistant Professor). Professor Wasif has vast experience in Outcome Based Education (OBE) and was actively involved with this (together with accreditation exercises and curriculum review committee) during his attachment with the University of Malaya, Malaysia. Additionally, he was the key resource person and trainer of various workshops and seminars on OBE at East West University and other universities in Bangladesh. He is serving as a member of the Evaluation Team (ET) for the Accreditation of different programs of various universities, appointed by the Board of Accreditation for Engineering and Technical Education (BAETE), The Institution of Engineers, Bangladesh. He also has vast experience in supervising and examining Ph.D., Masters (M.Eng.Sc. by research and M.Eng by course work), and Undergraduate students. He received the “Excellence Award for Ph.D. graduation on time”. He received “Dean’s Award” in teaching several times. He also received the “Excellence in Services Award” from the University of Malaya.

He has been working in the fields of Radio frequency identification (RFID), Wireless communications, Biomedical image processing, Bioimaging, Bioinformatics, Optimization, Artificial Intelligence/Machine Learning, Deep Learning, Robotics and Internet of Things, Green Computing/IT and Sustainable Development, Brain-Computer Interface (BCI), Biomedical signal Processing, and Electromagnetics, for almost 18 years, both in industrial exposure and academically research valued work. He has authored and co-authored several Science Citation Index (SCI)/Web of Science (WoS) and Scopus-indexed journals and conference papers (220+ papers; h-index: 23; i10-index: 50; citations: 2200+). He received the "Outstanding Championship Award", “Excellence Contribution Award”, and “Best Paper Award” from various international conferences for his outstanding contributions to research and publications. Besides, he is a Chartered Engineer (CEng), UK. He is also a professional member of IEEE and IEEE Computer Society. He has also participated as a Chair, Editor, reviewer, and committee member of several SCI/ISI journals and conferences. He is heavily involved with contributing to societies and professional activities.






EEG-Based Motor Imagery Classification Using Novel Adaptive Threshold Feature Extraction and String Grammar Fuzzy K-Nearest Neighbor Classification 

Dr. Payungsak Kasemsumran

 Computer Science Department, Maejo University, Chiang Mai, Thailand 

PAYUNGSAK KASEMSUMRAN is currently a professor of Computer Science Department, at Maejo University, Chiang Mai, Thailand. Payungsak received the Bachelor's degree and Master's degree in, Computer Science. Ph.D. Computer Engineering, Chiang Mai University, Chiang Mai, Thailand. He earns a Mathematic Olympic certificate. His research interests include Artificial Intelligence, Health Informatics and Health Information Management, Data Classification and Data Clustering, Big Data Analysis, Data Science and Biomedical Engineering, Fuzzy Set Theory, Expert System, Pattern Recognition, Image and Signal Processing, Computer Vision, Computer Graphics and Computer Security. Mr. Payungsak Kasemsamran is a research project that presents a new method for recognizing human emotions from facial images. This article is one of 239 articles from around the world that went through the peer review process from a total of 849 articles submitted for consideration (acceptance rate = 28.1 %), and this was selected by The technical committee of the conference awarded the Best Paper Award. This article was published in Payungsak Kasemsumran, Sansanee Auephanwiriyakul, and Nipon Theera Umpon, “Facial Expression Recognition Using String Grammar Fuzzy K-Nearest Neighbor,” Lecture Notes. in Computer Science, Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Torre, C.M., Taniar, D., Apduhan, B.O., Stankova, E., Wang, S. (Eds.), Vol. 9787, pp. 584-596, Springer, Switzerland. Payungsak has invented a new algorithm for classification in the process that is fuzzy Knn, which has higher accuracy than KNN in every data set.





Changes in Hydrological Properties Due to Climate Change 

Agus Suharyanto, Ph.D
Civil Engineering Department, Faculty of Engineering, 
Universitas Brawijaya, Indonesia

Agus Suharyanto, Ph.D. currently working as associate professor in Civil Engineering Department, Universitas Brawijaya (UB). Has been working since 1988. Beside it, Agus has experience in the field of university management as Department Secretary, Deputy Dean for Academic Affairs, Secretary of the Institute for Educational Studies, Chair of World Class University, Deputy Chair of International Office, and up to now as a reviewer of several grants from the Directorate of Higher Education, Indonesian Ministry of Education and Culture, Research and Technology. In professional experience, Agus, Ph.D. brings long experience to the position of applied GIS and Remote Sensing in Civil Engineering and especially in Water Resources analyses. Several researches related to hydrology and the application of GIS and Remote Sensing in the field of Water Resources have been carried out and the results have been published in several journals. In the last 5 years his research and publications have concentrated on the environmental field, especially the influence of climate change on the nature of rain in Indonesia.




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Keynote Speakers
Plenary Speakes

Plenary Speakers

Concept-cognitive Learning for Social Network Analysis   

Dr. Fei Hao

Shaanxi Normal University, China

Dr. Fei Hao received the Ph.D. degree in Computer Science and Engineering from Soonchunhyang University, South Korea, in 2016. Since 2016, he has been with Shaanxi Normal University, Xi'an, China, where he is an Associate Professor. From 2020 to 2022, he was a Marie Sklodowska-Curie Fellow with the University of Exeter, Exeter, United Kingdom. His research interests include social computing, ubiquitous computing, big data analytics, knowledge graph and edge intelligence. He is also a China Regional Director of International Association for Convergence Science and Technology (IACST), an executive director of Shanxi Association of Experts and Scholars (SAES) Information Branch, and an executive director of Shanxi Block-chain Research Association. Dr. Hao holds a world-class research track record of publication in the top international journals and the prestigious conferences. He has published more than 150 papers in the leading international journals and conference proceedings, such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Services Computing, IEEE Communications Magazine, IEEE Internet Computing, ACM Transactions on Multimedia Computing, Communications and Applications as well as ACM SIGIR and GlobeCom. In addition, he was the recipient of 6 Best paper awards from CSA 2020, CUTE 2016, UCAWSN 2015, MUE2015, IEEE GreenCom 2013 and KISM 2012 conferences, respectively. He was also the recipient of the Outstanding Service Award at SMMA 2020, FutureTech 2019, DSS2018, and SmartData 2017, the IEEE Outstanding Leadership Award at IEEE CPSCom 2013 and the 2015 Chinese Government Award for Outstanding Self-Financed Students Abroad. Since 2017, he has joined JIPS (Journal of Information Processing Systems) editorial board, where he is currently an associate editor. He is currently an editor of ICT Express journal. And he is an initiator and general/program chair of IEEE DSCI and SMMA. He is also a member of ACM, CCF and KIPS.  

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Reinforcement Learning for Bio-Inspired Robotics 

Nazmul Siddique
School of Computing, Engineering and Intelligent Systems
Ulster University, UK


Nazmul Siddique (M) is with the School of Computing, Engineering and Intelligent Systems, Ulster University. He obtained Dipl.-Ing. degree in Cybernetics from Dresden University of Technology, Germany, and PhD in Intelligent Control from the Department of Automatic Control and Systems Engineering, University of Sheffield, England. His research interests include robotics, cybernetics, computational intelligence, nature-inspired computing, and stochastic systems. He has published over 200 research papers in the broad area of computational intelligence, vehicular communication, robotics and cybernetics. He authored and co-authored fours books and six edited books published by John Wiley, Springer and Taylor & Francis. He guest edited eight special issues of reputed journals on Cybernetic Intelligence, Computational Intelligence, Neural Networks and Robotics. He has been involved in organising many national and international conferences and co-edited seven conference proceedings. He is a Fellow of the Higher Education Academy, and a senior member of IEEE. He is on the editorial board many journals including Nature Scientific Research (2018-2021), Journal of Behavioural Robotics, Engineering Letters, International Journal of Machine Learning and Cybernetics, International Journal of Applied Pattern Recognition, International Journal of Advances in Robotics Research and also on the editorial advisory board of the International Journal of Neural Systems. 

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New Directions to Solution Methods for Transportation Problems

Prof. Dr. Elias Munapo
North West University, Mafikeng, South Africa


Elias Munapo has a Ph.D. obtained from the National University of Science and Technology (Zimbabwe) in 2010 and is a Professor of Operations Research at the North West University, Mafikeng Campus in South Africa. He is a Guest Editor of the Applied Sciences, Algorithms and Next Energy Journals.  He has co-published two books. The first book is titled Some Innovations in OR Methodology: Linear Optimization  and was published by Lambert Academic publishers in 2018. The second book is titled Linear Integer Programming: Theory, Applications, and Recent Developments and was published by De Gruyter publishers in 2021. He is working on his third book which is to be published by River Publishers. Professor Munapo has also co-edited a number of books published by Wiley, Elsevier, Springer, Scrivener and De Gruyter publishers and is currently a reviewer of a number of international journals, and has published over 120 journal articles and book chapters. In addition, Prof. Munapo is a recipient of the North West University Institutional Research Excellence and ICO Excellent Contributor awards. He is a member of the Operations Research Society of South Africa (ORSSA), EURO, and IFORS. He has presented at both local and international conferences and has supervised more than 10 doctoral students to completion. He was a visiting professor to RMIT in Australia in 2023. His research interests are in the broad area of operations research. 

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On Forging Bridges between Artificial Intelligence and Operations Research: Focus On   Healthcare and Supply Chain Management 

 Professor Dr. Safa Bhar LAYEB
 LR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunisia

Safa Bhar Layeb is currently a professor of industrial engineering and an active member of the OASIS Laboratory at the National Engineering School of Tunis, Tunisia. Safa holds a Polytechnic Engineering degree, a Master's degree in Mathematical Engineering, a Ph.D. in Applied Mathematics, and a university habilitation (HDR) in Industrial Engineering. She is the founding chair of the African Working Group in Health Systems and member of the Executive committee of the African Federation of Operations Research Societies (AFROS). She has served as guest editor and reviewer for over twenty international journals (ANOR, CAIE, RAIRO,…). She is an active member of the editorial, organizing and scientific committees of several international conferences. She has supervised over twenty Master and Ph.D. thesis in collaboration with international institutes (Politecnico di Milano, Italy; Université de Moncton, Canada; Faculty of Transportation Engineering and Vehicle Engineering, Hongrie; Université de Tlemcen , Algérie; etc.). She has co-authored over thirty papers in reputable indexed journals, fifty papers in international conferences and, twenty chapter books. Her teaching and research interests include Operations research, optimization and data science based-approaches and their applications in healthcare organizations, industrial engineering, logistics, and supply chain management.

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Special Sessions

Special Sessions

Mohammad Muqeem 
Dept of Computer Science and engineering, Sandip University, Nashik, India

The Role of Computer Science in Addressing Climate Change 
Pradeep Sapkota, School of Business
Pokhara University, Nepal

The Evolving Landscape of ICT, Digital Economy & Cyber Security 
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Plenary Speaker

Deepesh Ranabhat

Pokhara University, School of Business
The Role of the Digital Economy in Empowering SMEs in South Asia: Opportunities and Challenges


Workshop / Tutorial

The Shuffled Frog Leaping Algorithm (SFLA) and the moving position process for search space
Assistant Professor Kanchana Daoden, PhD.
Smart Electronics Engineering, 

Faculty of Industrial Technology,
Uttradit Rajabhat University, Thailand

Kanchana Daoden is currently an Assistant Professor, PhD. of Smart Electronics Engineering at, the Faculty of Industrial Technology with a Bachelor's and she is also a lecturer in the Department of Management Engineering, at the Faculty of Industrial Technology, Uttaradit Rajabhat University for her Master's degree. Kanchana Daoden graduated with a Bachelor's degree in Computer Science, from Chiangmai Rajabhat University. Master's degree and Ph.D. in Computer Engineering, Chiang Mai University, Thailand. For her experience, she is one of the reviewers in the Computer & Industrial Engineering journal in 2019-2023. Kanchana Daoden is a Best Paper Award at the 5th International Conference on Intelligent Computing and Optimization with the title "Hybrid Shuffled Frog Leaping Algorithm using the Angle and Sigma compared with 4 Benchmark function", on October 27-28,2002, Indexing in Springer Link. Her teaching and research interests include optimization problems, Machine learning in agriculture in the local area and their applications in machine learning, and industrial engineering. 

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Steering Committee

Prof. Roman Rodriguez-Aguilar, Universidad Panamericana,  Mexico

Dr. Alexander Fominyh, Saint Petersburg State University, Russia
Prof. Rolly Intan, Petra Christian University, Indonesia
Prof. Daniel Maposa, University of Limpopo, South Africa

General Chair

Dr. J. Joshua Thomas, UOW Malaysia KDU Penang University College, Malaysia

Co-General Chair

Dr. Pandian Vasant, MERLIN Research Centre, TDTU, Ho Chi Minh City, Vietnam

Honorary Chairs

Prof. Gerhard Wilhelm Weber, Poznan University of Technology, Poland 

Prof. Jose Antonio Marmolejo, National Autonomous University of Mexico, Mexico
Prof. Sergey Senkevich, Federal Scientific Agroengineering Center VIM, Russia
Prof. Selma Oliveira, Fluminense Federal University, Brazil
Prof. Ivan Zelinka, VSB TU Ostrava, Czech Republic
Prof. Karl Andersson, Lulea University of Technology, Sweden

TPC Chairs

Dr. J. Joshua Thomas, UOW Malaysia KDU Penang University College, Malaysia

Dr. Vladimir Panchenko, Russian University of Transport, Russia

Publication Chairs

Prof. Igor Litvinchev, Nuevo Leon State University (UANL), Mexico

Prof. Kolentino Mpeta, North West University, South Africa

Special Session Chairs

Dr. Nguyen Tan Cam, University of Information Technology, Vietnam 

Dr. Robert Kerwin Billones, De La Salle University, Philippines

PhD Track Chair & Panel Chair
Dr. Martin Chanza, North West University, South Africa
Dr. Kanchana Daoden, Uttaradit Rajabhat University, Thailand

Publicity & Social Media Chairs

Dr. Emi Yuda, Tohoku University Graduate School of Engineering, Japan
Dr. Tham Vo, Nguyen Tat Thanh University, Vietnam


Posters & Demos Chairs

Prof. Elias Munapo, North West University, South Africa
Dr. Sri Mulyana, Universitas Gadjah Mada, Indonesia

Workshop & Tutorial Chairs

Prof. Valeriy Kharchenko, Federal Scientific Agroengineering Centre VIM, Russia

Prof. Phuc Do, University of Information Technology, Viet Nam

Sponsorship & Exhibition Chairs

Dr. Denis Sidorov, Energy Systems Institute of Russian Academy of Sciences, Russia

Mr. K C Choo, CO2 Networks, Malaysia

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