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Hossein Miri, Ph.D.
Education Ph.D. Computer Science, Hull University, Hull, UK – 2013 PGCRT Postgrad Research Training, Hull University, UK – 2011 B.Sc. Computing Science, Oxford Brookes University, Oxford, UK – 2008 Courses Taught Semester 1: Linear Algebra Discrete Mathematics Fundamental Data Structures and Algorithms Semester 2: Computer Vision Artificial Intelligence Research Interests Symbolic AI Machine Vision Extended Reality Human Augmentation Immersive Technologies Holographic Visualization Automation and Robotization Technology-enhanced Education and Healthcare and Agriculture Research Publications R.K. Asyuri, A.K. Sangaiah, W.T. Chen, H. Miri. (2026). GridSolarNet: Integrating Grid Topology for Smart Grid Solar PV Forecasting via Graph Transformer. (in press). 23rd International Conference on Electrical Engineering & Electronics, Computer, Telecommunication, and Information Technology (ECTI-CON 2026), May 27-30, Chonburi, Thailand. S. Lengauer, L. Shao, H. Miri, M. Bedek, C. Kupfer, M. Zangl, B. Kubicek, B. Dienstbier, K. Jeitler, C. Krenn, T. Semlitsch, C. Zipp, D. Albert, A. Siebenhofer, T. Schreck. (2026). "A Visual Approach for Health Information Exploration—Adaptive Levels of Visual Granularity and Interaction Analysis," Journal of Universal Computer Science (J.UCS), 32(1): 4–32. Link: https://lib.jucs.org/article/150679/ O. Shovkovyy & H. Miri. (2025). Replacing YOLOv8n with YOLOv12n in Greenhouse Automation: A Post–Thesis Evaluation Using the Unified Detection Score (UDS). 24th International Symposium on Communications and Information Technologies (ISCIT 2025), Hanoi, Vietnam, pp. 236-242. https://ieeexplore.ieee.org/document/11231599. S. Chan-Bormei, C. Srisukajorn, P. Teekakirikul, H. Miri. (2025). Bridging Medical Genetics, Genetic Counselling, and Patients: Proposing an Immersive, Interactive, and Holographic Health Information Platform with Evaluation Methods for Personalized Patient Education. In Plácido da Silva, H. & Cipresso, P. (eds) 8th International Conference on Computer–Human Interaction Research and Applications (CHIRA 2024). Porto, Portugal. Communications in Computer and Information Science (CCIS), 2370: 166–176. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-031-82633-7_11. S. Lengauer, L. Shao, H. Miri, et al. (2025). A Visual Approach for Health Information Exploration: Adaptive Levels of Visual Granularity and Interaction Analysis. arXiv Pre-Print Open Access Scientific Repository. https://doi.org/10.48550/arXiv.2502.12795. O. Shovkovyy, H. Miri. (2024). Optimizing YOLOv8 for Efficient Tomato Recognition in Greenhouse Environments Using Drone Imagery. In Proceedings of the IEEE 2024 Asian Conference on Communication and Networks (ASIAN Com Net – IEEE Thailand Section) (pp. 244–250) Bangkok, Thailand. https://ieeexplore.ieee.org/document/10811019. S. Chan-Bormei & H. Miri. (2024). HoloGrad – A Holographic Health Information Platform for Patient Education: Delivering Personalized Genetic Information and Counseling to Users. (ICVARS 2024) Melbourne, Australia. In Proceedings of 8th International Conference on Virtual and Augmented Reality Simulations, pp. 67-78. ACM, New York, USA. https://dl.acm.org/doi/10.1145/3657547.3657560. Z. YongQi, S. Chan-Bormei & H. Miri. (2024). Transforming Healthcare with Immersive Visualization: An Analysis of Virtual and Holographic Health Information Platforms. (ICHVR 2023) Beihai, China. In Proceedings of 2023 International Conference on Haptics and Virtual Reality. Su, J. and Qiao, X. (eds) Advances in Haptics and Virtual Reality – Learning and Analytics in Intelligent Systems, 37, pp. 81–104. Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-56521-2_8. O. Shovkovyy & H. Miri. (2023). Exploring Awareness of Labor Market Challenges in the Context of Automation and Robotization. Suranaree Journal of Social Science (SJSS 2023), 17(2), July–December 2023, Thailand. https://so05.tci-thaijo.org/index.php/sjss/article/view/267144. A. Rohozinski, H. Miri, S. Tungjitkusolmun. (2023). Developing a Comprehensive Model for Simulating Human Physiological Needs. CMKL University & KMITL (King Mongkut’s Institute of Technology Ladkrabang), Thailand. L. Shao, S. Lengauer, H. Miri, M.A. Bedek, C. Kupfer, C. Krenn, C. Zipp, B.C. Dienstbier, D. Albert, K. Jeitler, B. Kubicek, T. Semlitsch & T. Schreck. (2022). Visual Document Exploration with Adaptive Level of Detail – Design, Implementation and Evaluation in the Health Information Domain. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging, and Computer Graphics Theory and Applications (VISIGRAPP 2023), 3, pp. 133–141. Lisbon, Portugal. https://www.scitepress.org/PublicationsDetail.aspx?ID=GFIpgj2k9Vg=&t=1. H. Miri, J. Kolkmeier, R. Poppe, P.J. Taylor & D. Heylen. (2017). Project SENSE – Multi-Modal Simulation with Full-Body Real-Time Verbal and Nonverbal Interactions. 8th International Conference on Intelligent Technologies for Interactive Entertainments, 178, pp. 279–284, Utrecht, Netherlands. https://link.springer.com/chapter/10.1007/978-3-319-49616-0_28. H. RanjbarTabar, D. Richards, C. Kutay, A. Bilgin, M. Taylor, M. Dras, H. Miri. (2016). A Virtual Emotional Freedom Practitioner. Macquarie University, Australia. P.J. Lindal, H. Miri, U. Kristjansson, K.R. Johannsdottir, T. Hartig & H. Vilhjalmsson. (2016, June 27 – July 1). Testing the Restorative Potential of Future Urban Environments Using VR Technology: The "Cities that Sustain Us" Project. 24th Annual Conference of the International Association for People–Environment Studies (Conference Presentation at IAPS24) Lund, Sweden. Conference Abstract: https://portal.research.lu.se/files/78195057/IAPS24_Abstracts.pdf P.J. Lindal, H. Miri, K.R. Johannsdottir, T. Hartig & H. Vilhjalmsson. (2015, August 24 – 26). Cities that sustain us: Using VR Technology to Test the Restorative Potential of Future Urban Environments. In Proceedings of the 11th Biennial Conference on Environmental Psychology (Conference Presentation at BCEP), Groningen, Netherlands. https://cisuus.wordpress.com/2015/09/02/cisuus-bcep-2015/ P.J. Lindal, K.R. Johannsdottir, H. Miri, U. Kristjansson, T. Hartig & H. Vilhjalmsson. (2015, November 12). People’s well-being in urban settings tested with VR. 17th Life and Health Conference of the University of Iceland. Reykjavik, Iceland. https://envalys.is/en/science/. H. Miri & D.N. Davis. (2014). CernoCAMAL: A Probabilistic Computational Cognitive Architecture. Lambert Academic Publishing, Saarbrücken, Germany. ISBN: 978-3-659-11110-5. https://www.amazon.com/CernoCAMAL-Probabilistic-Computational-Cognitive-Architecture/dp/3659111104 M. Bakhshandeh, H. Miri, B. Kolany, S.A. Yankova, M. Galushka, A. Caetano & J. Borbinha. (2013). Towards a Legal Ontology for the Digital Preservation Domain. In Proceedings of the 1st International Conference on Information and Communication Technology, Law, Protection and Access Rights. https://www.semanticscholar.org/paper/Towards-a-Legal-Ontology-for-the-Digital-Domain-of-Bakhshandeh-Miri/6b12b306cd802c11c0663663f783c3451d1e43f3 A. Bachmann, M.A. Neumann, H. Miri, J. Barateiro, G. Antunes & A. Caetano. (2013). Preservation and Redeployment of Sensor Acquisition Processes from a Dam Safety Information System. In Proceedings of the 5th International Conference on Knowledge Management and Information Sharing, pp. 490–495. International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K), Vilamoura, Portugal. ScitePress. https://www.researchgate.net/publication/284177097_Preservation_and_Redeployment_of_Sensor_Acquisition_Processes_from_a_Dam_Safety_Information_System M.A. Neumann, H. Miri, M. Beigl, J. Thomson, G. Antunes & R. Mayer. (2012). Towards a Decision Support Architecture for Digital Preservation of Business Processes. In Moore, R., Ashley, K. & Ross, S. (Eds.) iPRES 2012. Proceedings of the 9th International Conference on Preservation of Digital Objects. (pp. 126–133) Digital Curation Institute, iSchool University of Toronto. https://publications.sba-research.org/publications/neu_ipres12-reasoning.pdf H. Miri. (2012). CernoCAMAL: A Bayesian BDI Cognitive Architecture. AISB (Artificial Intelligence and Simulation of Behavior) Quarterly, Newsletter of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, 134, p. 5–6. https://aisb.org.uk/wp-content/uploads/2019/09/AISBQ134.pdf D.N. Davis & H. Miri. (2012). Probabilistic BDI in a Cognitive Robot Architecture. International Journal of Computer Science and Artificial Intelligence, 2(3), pp. 1–10. https://www.researchgate.net/publication/271348748_Probabilistic_BDI_in_a_Cognitive_Robot_Architecture Talks L. Shao, S. Lengauer, H. Miri, M. Bedek, B. Kubicek, C. Kupfer, B. Dienstbier, K. Jeitler, C. Krenn, C. Loder, T. Semlitsch, C. Zipp, D. Albert, A. Siebenhofer, & T. Schreck. (2023). Visual Document Exploration with Adaptive Level of Detail. Talk at the Symposium on Knowledge Spaces and Beyond. Padua, Italy (10 January 2023). H. Miri. (2011). Applications of Cognitive Robots to Autonomous Lithographic Systems. Talk to ASML (Semiconductors and Lithography), Veldhoven, Netherlands (12 April 2011). H. Miri. (2011). Cognitive Architectures for Intelligent Mobile Robots. Talk to DFKI (Robotics Innovation Center), Bremen, Germany (24 March 2011). Research Vision My current research vision focuses on creating immersive environments and extended reality systems that tackle challenges in technology-enhanced education and training as well as healthcare and agriculture. I am especially interested in using holographic visualization and mixed reality frameworks to enhance the way people interact with technology, with the ultimate goal of human augmentation through personalized and interactive information platforms tailored for these sectors. I explore the applications of immersive technologies across these diverse domains, developing solutions for interactive education and training, healthcare information platforms, and precision agriculture systems. This vision is currently partially supported by my HoloGrad research grant from the PMU-C Research Funding Agency, in collaboration with Bumrungrad International Hospital in Bangkok. Contract Number: C05F660157 (01 July 2023 –– 30 June 2025) Please see below… Research Grant 1 July 2023 – 31 December 2025 Research and Development Project Funds (9,968,200.00 THB) PMU-C Research Funding Agency, Principal Investigator (PI) HoloGrad Project in Collaboration with Genomic Medicine Center @ Bumrungrad International Hospital, Bangkok, Thailand. I was the founding Principal Investigator (PI) of the HoloGrad project. I played a key role in its inception, driving the conceptualization, research analysis, methodological framework, software and platform development, and system visualization – effectively overseeing and leading all R&D efforts. In 2023, I successfully secured funding for the project through a competitive research grant from PMU-C supplemented by a matching contribution from Bumrungrad International Hospital. The project officially commenced on 01 July 2023. Under my leadership, it progressed through its designated phases, culminating in the publication of three papers. However, upon my appointment at Chulalongkorn University in August 2024, the grant – being institutionally bound – remained with CMKL University. Consequently, on 01 August 2024, Dr. Sally Goldin – my project’s Co-PI – assumed the role of PI for the extension period, overseeing further refinements to HoloGrad and strategic planning for user testing and human trials. Since joining ISE on 01 August 2024, my involvement in the project has been limited to providing complimentary advisory support and consultancy as and when needed. The initial grant supported my research vision and enabled the comprehensive design and development of the HoloGrad platform which now – as a result of Dr. Goldin’s leadership and contributions – stands poised for deployment at Bumrungrad International Hospital, pending the successful completion of user testing and patient trials, along with requisite approvals from hospital executives and management.
24 July 2024
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Kumbesan Sandrasegaran, Ph.D.
Profile Summary Kumbesan Sandrasegaran, Ph.D., has expertise in the modelling and simulation of telecommunication networks to assess the performance of network management algorithms, including packet scheduling, handovers, interference mitigation, and power control. He also has expertise in the application of Artificial Intelligence for fault diagnosis, network planning, and fall detection. Education Ph.D. in Electrical Engineering. McGill University, Montreal, Quebec, Canada. 1990 - 1994 (Thesis title “A methodology for generation of fault diagnostic knowledge”. Completed courses in Artificial Intelligence, Information Structures, Numerical Analysis and Computer Aided Engineering Software.) M.Sc. in Telecommunications and Information System, University of Essex, England. 1987 - 1988 Received A* for outstanding M.Sc. project work at University of Essex (1988). Completed courses in Theory of Signals and Systems, Probability, Switching Systems, Real-Time Systems, Transmission Systems, Digital Transmission, Satellite and Mobile Radio systems and Performance Engineering of Computer and Communication Systems. B.Sc. Honours in Electrical Engineering (First Class). Careers Technical Writer and Consultant, Nokia Networks, Pyrmont, Sydney (Jan – Dec 2001) Senior Research Engineer, Centre for Telecommunication and Information Networking (CTIN), Adelaide (Jan – Mar 2000) Lecturer, Institute of Information Sciences and Technology, Massey University, Palmerston-North, New Zealand. (Apr 1998–1999) Professional Qualifications Technical Consultant and Trainer (self employed) (Jan 2015 – now) - Development and delivery of a 12 week 5G training program in Kingdom of Saudi Arabia in 2022-2023 - Development and delivery of a summer course in IoT Foundation at ISE, Chulalongkorn University in July 2018. Associate Professor and Program Head of Telecommunication and ICT Engineering Program, Faculty of Engineering and IT, University of Technology Sydney. (Apr 2000- Dec 2020) Head of the Centre of Excellence in Rural Telecommunications and Lecturer in the Department of Electrical Engineering University of Durban-Westville, South Africa. (Sept 1995 – Apr 1998)
7 August 2024
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Soracha Dechaumphai, Ph.D.
Profile Summary Dr. Soracha Dechaumphai (neé Thamphiwatana) is an expert in nanomedicine and nano-biomaterials, with a strong research focus on the development of bioinspired and multifunctional nanoparticles for targeted drug delivery, diagnostics, and theranostics. Her work addresses global health challenges such as antimicrobial resistance, cancer, and chronic diseases through engineering-based solutions. She received her Ph.D. in NanoEngineering from the University of California, San Diego, where she trained under Prof. Liangfang Zhang, and later contributed to both academic and industrial R&D in the United States, France, and Germany. Her research portfolio spans fundamental and translational nanotechnologies aimed at improving clinical outcomes. With over 7,000 citations and an h-index of 27, her work has been published in leading journals including Nature, PNAS, and ACS Nano, and has led to multiple patents in advanced drug delivery and diagnostics. She previously served as Deputy Dean for Academic and Student Affairs and Assistant Dean for International Affairs, where she played a pivotal role in advancing engineering education, international collaboration, and program accreditation at the national and regional levels. Education Ph.D. in NanoEngineering, University of California, San Diego, USA M.S. in NanoEngineering, University of California, San Diego, USA M.E. in Biomedical Engineering, Colorado State University, USA B.Pharm. in Pharmaceutical Sciences (First Class Honors), Prince of Songkla University, Thailand Invited Talks S. Dechaumphai, Nanoparticle biointerfacing by cell membrane cloaking for precision medicine” *Invited Speaker at 38th Southern Biomedical Engineering Conference: New Orleans, LA, 08/2022. S. Dechaumphai, “Biomimetic Nanoparticles for biomedical applications”, *Invited talk at International Conference on Precision Nanomedicine in Theranostics, Taiwan, 10/2021. S. Dechaumphai, “Biomimetic Nanoparticles for infection treatment”, *Invited talk at Fudan University, Shanghai, China, 12/2020. S. Dechaumphai, “Multifunctional theranostic nanoparticles for breast cancer”, *Invited talk at 46th international congress on Science, technology and Technology-based Innovation (STT), Bangkok, Thailand, 10/2020. S. Thamphiwatana, “Biomimetic nanoparticles for cancer theranostics”, *Invited talk at Siriraj Cancer Nanomedicine Conference, Siriraj Hospital, Bangkok, Thailand, 09/2017. S. Thamphiwatana, “Biologically inspired nanoparticles for therapeutic applications” *Invited talk at Department of Biomedical Engineering, Mahidol University, Bangkok, Thailand, 09/2017. S. Thamphiwatana, “Nanoparticle biointerfacing by cell membrane cloaking for precision medicine”, *Invited talk at A Sino-ASEAN Conference on Precision Medicine, Cholburi, Thailand, 06/2017. S. Thamphiwatana, “Biomimetic nanoparticles for infectious treatment and management”, *Invited talk at Biologically Engineering department, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand, 02/2017. S. Thamphiwatana, “Bioinspired nanomedicine for therapeutic applications”, *Invited talk at Biological Sciences department, School of Medicine, Prince of Songkla University, Songkhla, Thailand, 02/2017. S. Thamphiwatana, “Biologically inspired nanomaterials for therapeutic applications”, *Invited talk at Department of Pharmacology, Faculty of Medicine, Mahidol University, Bangkok, Thailand, 12/2016. S. Thamphiwatana, “Biologically inspired nanomedicine for therapeutic applications” 32nd Annual Faculty of Medicine PSU conference: Healthcare in a changing world, Prince of Songkla Universiy, Songkhla, Thailand, 08/2016. S. Thamphiwatana, Gao W, Zhang L. “Hydrogel release of nanoparticle-stabilized liposomes for antimicrobial drug delivery” JSOE 33rd Research Expo, University of California, San Diego, La Jolla, CA, 04/2014. S. Thamphiwatana, “Antimicrobial nanotherapeutics for the treatment of bacterial infection” *Invited talk at Department of Biomedical Engineering, Mahidol University, Bangkok, Thailand, 07/2013. S. Thamphiwatana, Pornpattananangkul D, Gao W, Zhang L. “Antimicrobial nanoparticles for bacterial infection treatment” The 4th International conference on Multi-Functional Materials and Structures, Bangkok, Thailand, 07/2013. S. Thamphiwatana, Fu V, Gao W, Zhang L. “Antimicrobial nanotherapeutics for the treatment of Helicobacter pylori infection”. JSOE 32nd Research Expo, University of California, San Diego, La Jolla, CA, 04/2013. S. Thamphiwatana, Pornpattananangkul D, Fu V, Zhang L. “Gold nanoparticles-stabilized liposomes for bacterial skin infection treatment”. JSOE 31st Research Expo, University of California, San Diego, La Jolla, CA, 04/2012. Selected Publications (H-index = 27; Citations: 7370 from google scholar) Google Scholar: https://scholar.google.com/citations?hl=en&user=_pRv49AAAAAJ SCOPUS; https://www.scopus.com/authid/detail.uri?authorId=55354013000 PUBMED; https://pubmed.ncbi.nlm.nih.gov/?term=soracha+thamphiwatana&size=200 ORCID ID; https://orcid.org/0000-0003-3664-9488 Obonyo M*, Zhang L*, S* Thamphiwatana, Pornpattananangkul D, Fu V, Zhang L. Antibacterial activities of liposomal linolenic acids against antibiotic-resistant Helicobacter pylori, Mol. Pharmaceutics, 2012, 9; 2677-85. (*The authors contributed equally) (IF 4.440) Gao W, S. Thamphiwatana, Angsantikul P, Zhang L. Nanoparticle approaches against bacterial infections, WIREs Nanomed. Nanobiotechnol. 2014, 6; 532-47. (IF 4.761) S. Thamphiwatana, Gao W, Pornpattananangkul D, Zhang Q, Fu V, Li J, Li J, Obonyo M, Zhang L. Phospholipase A2-degradable liposomes for antibiotic delivery against Helicobacter pylori, J. Mater. Chem. B 2014, 2, 8201-07. (IF 4.543) S. Thamphiwatana, Gao W, Obonyo M, Zhang L. In vivo treatment of Helicobacter pylori infection with liposomal linolenic acid reduces colonization and ameliorates inflammation, Proc. Natl. Acad. Sci. 2014, 111; 17600-05. (IF 9.661) Gao W*, Renfeng D*, S* Thamphiwatana, Jinxing L, Gao W, Zhang L, Wang J. Artificial micromotors in a mouse’s stomach: A step towards in vivo use of synthetic motors, ACS nano 2015, 9; 117-23. (*The authors contributed equally) (IF 13.942) Hu CM, Fang R, Wang KC, Luk B, S. Thamphiwatana, Dehaini D, Nguyen P, Angsantikul P, Wen C, Kroll A, Carpenter C, Ramesh M, Qu V, Patel S, Zhu J, Shi W, Hofman F, Chen T, Gao W, Zhang K., Chien S, Zhang L. Nanoparticle biointerfacing by platelet membrane cloaking, Nature 2015, 526; 118-21. (IF 40.137) Li J*, S* Thamphiwatana, Liu W*, Esteban-Fernandez de Avila B, Angsantikul P, Sandraz E, Wang J, Xu T, Soto F, Ramez V, Wang X, Gao W, Zhang L, Wang J. Enteric micromotor can selectively position and spontaneously propel in the gastrointestinal tract. (*The authors contributed equally), ACS nano, 2016, 10; 9536-9542. (IF 13.942) S. Thamphiwatana, Angsantikul P, Escajadillo T, Zhang Q, Olson J, Luk BT, Zhang S, Fang RH, Gao W, Nizet V, Zhang L. Macrophage-like nanoparticles concurrently absorbing endotoxins and proinflammatory cytokines for sepsis management. Proc. Natl. Acad. Sci. 2017, 114; 11488-93. (IF 9.661) Angsantikul P, S. Thamphiwatana, Zhang Q, Spiekermann K, Zhuang J, Fang R, Gao W, Obonyo M, Zhang L. Coating nanoparticles with gastric epithelial cell membrane for targeted antibiotic delivery against Helicobacter pylori infection. Adv. Therapeutics. 2018, 201800016. (IF 5.20) Marshall SK, Angsantikul P, Pang Z, Nasongkla N, Hussen RS, SD. Thamphiwatana. Biomimetic Targeted Theranostic Nanoparticles for Breast Cancer Treatment. Molecules. 2022 Oct 1;27(19):6473. (IF 4.927) Puttawong J, Yingkajorn M, Khongkow P, SD. Thamphiwatana*, Phairatana T*. Anti-Methicillin-Resistant Staphylococcus aureus Efficacy of Layer-by-Layer Silver Nanoparticle/Polyacrylic Acid-Coated Titanium Using an In-House Dip Coater. Polymers. 2025; 17(3), 333. (*co-corresponding authors) (IF 4.9) Phetporkha K, Saisawang C, Rattanavirotkul N, SD. Thamphiwatana*, Chantasart D*. Dissolvable Microneedles Embedded with Chitosan Nanoparticles for Transdermal Delivery of Pramipexole Dihydrochloride in Parkinson’s Disease. ACS Omega. 2025 Jul 23. (*co-corresponding authors) (IF 4.4) Grants 2024-2025 Principal investigator. Renal-targeted nanodelivery for diabetic nephropathy therapy 2023-2025 Co-investigator. Microneedle transdermal transport study of pramipexole dihydrochloride for the treatment of Parkinson’s disease 2019-2023 Co-Principal investigator. Development of Kratom extract delivery system through nanotechnology together with microneedle patch for chronic pain management 2020-2022 Principal investigator. Nanotherapeutics against Carbapenems-resistant Enterobacteriaceae (CRE) and its Biofilm 2020-2022 Principal investigator. pH-responsive nanoparticles for dual actions against antibiotic-resistant infection 2019-2021 Principal investigator. Multifunctional theranostic nanoparticles for the treatment and detection of colorectal cancer. 2019-2020 Co-Principal investigator. Feasibility of the first scaled up nanoparticle synthesis for antimicrobial resistant infection treatment (NANOSYN). 2019-2020 Principal investigator. Nanoparticles-enabled multifunctional surface coating on orthopedic implants for the treatment and prevention of biomaterial- associated infection. 2018-2020 Principal investigator. Multivalent nanoparticles-enabled microfluidic device for circulating tumor cells isolation and detection. 2017-2018 Principal investigator. Nanoparticles-embedded microneedle array patch for anti-aging treatment. 2017-2019 Co-investigator. Cost-effective microfluidic electronic devices for optimal drug administration based on fractional pharmacokinetics for leukemia treatments (MEDLEM) 2017-2018 Principal investigator. Red blood cells membrane cloaked nanoparticles for dual actions of toxin binding and killing methicillin-resistance Staphylococcus aureus (MRSA). Honors and Awards Invited TEDxChaingmai speaker (2019) American Association of University Women (AAUW) International Project Fellow (2019) Leaders in Innovation Fellow (LIF) (2019) Co-chair of the Thai Young Scientists Academy (TYSA) (2018) Membership of the Global Young Academy (GYA) (2018) Thailand Toray Science Foundation Award (TTSF) (2017) Class of 2015 UCSD outstanding graduate student (2015) Frontiers of Innovation Scholars Program Postdoctoral Fellowship (2015) UCSD Rady School of Management Micro-MBA certificate (2014) The Best literature Review Award (2013) The von Liebig Center's Most Promising Innovation Award (2013) Friends of International Awards (2013) American Association of University Women (AAUW) International Fellowship (2012) Royal Thai Government Scholarships (2008) First Class Honors Award, Prince of Songkla University (2006)
24 June 2025
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Assoc. Prof. Daricha Sutivong, Ph.D.
Education 2003 Ph.D. in Management Science and Engineering (Ph.D. minor in Computer Science), Stanford University, USA 1997 Master of Science in Engineering-Economic Systems and Operations Research, Stanford University, Stanford, USA 1996 Master of Engineering in Electrical Engineering and Computer Science, Massachusetts Institute of Technology, USA 1995 Bachelor of Science in Computer Science and Engineering, Massachusetts Institute of Technology, USA Research Interests Data analytics techniques and applications in social sciences, health, finance, etc. Engineering economic analysis and modeling Information markets Decision analysis and risk management Academic Experience 2025 to present International school of Engineering, Chulalongkorn University, Thailand July 2016 – 2025 Globex Faculty Fellow, Globex Julmester Program, College of Engineering, Peking University, China 2007 – 2025 Department of Industrial Engineering, Chulalongkorn University, Thailand March-June 2015 Visiting Scholar, Department of Management Science and Engineering, Stanford University, USA 2004 – 2007 Department of Computer Engineering, Chulalongkorn University, Thailand Selected Journal Publications N. Seelpipat and D. Sutivong. (2025, August). “Analyzing adolescents’ e-cigarette initiation tendency using explainable machine learning,” Journal of Computational Social Science, 8, article number 95. https://doi.org/10.1007/s42001-025-00423-6 P. Bodhidatta and D. Sutivong. (2025). “Understanding unnecessary stops and police use of force in NYPD stop, question, and frisk with machine learning techniques,” Artificial Intelligence and Law. https://doi.org/10.1007/s10506-025-09444-y S. Lekwijit and D. Sutivong. (2018). “Optimizing the Liquidity Parameter of Logarithmic Market Scoring Rules Prediction Markets,” Journal of Modelling in Management, 13(3), pp. 736-754. P. Jongpanichkultorn, D. Sutivong, and P. Chongstitvatana. (2018, July). “Designing Prediction Markets to Achieve Convergence Speed,” Engineering Journal, 22, No. 4, pp. 177-190. S. Rimcharoen, D. Sutivong, and P. Chongstitvatana. (2009, June) “Real Options Approach to Evaluating Genetic Algorithms,” Applied Soft Computing Journal, 9(3), pp. 896-905. Selected Conference Publications K. Kanjai, K. Supbungerd, E. Chareonjirasak, P. Sripawatakul, and D. Sutivong. (2024, December 13-16). Analyzing Effects of Time Series Data Characteristics on LSTM Performance. In Proceedings of 10th International Conference on Computer and Communications (ICCC 2024), Chengdu, China. K. Wongnongtaey, K. Srisomboon, and D. Sutivong. (2023, April 14-16). Analyzing Suicide and Contributing Factors in Thailand Using Classification by Logistic Regression, Decision Tree and Support Vector Machine. In Proceedings of 3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB 2023), Taichung, Taiwan. (Best Conference Paper Award) N. Sangsawai and D. Sutivong. (2023, April 4-6). Analyzing Impact of Economic Indicators on Vietnam Stock Market Using Machine Learning Techniques. In Proceedings of 10th International Conference on Industrial Engineering and Applications (ICIEA 2023), Phuket, Thailand. S. Simtharakao and D. Sutivong. (2023, February 20-23). Exploring Normalization Techniques in Neural Networks for Bitcoin Candlestick Price Prediction. In Proceedings of 5th International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2023), Bali, Indonesia. (Excellent Paper Award) P. Prutphongs and D. Sutivong. (2020, December 10). Decision Support System for Power Plant Improvement Investment Using Life-Cycle Cost. In Proceedings of the 2020 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI 2020), Yogyakarta, Indonesia (and online). N. Koetphrom, P. Charusangvittaya, and D. Sutivong. (2018, July 5-6). Comparing Filtering Techniques in Restaurant Recommendation System. In Proceedings of the 2018 International Conference on Engineering Innovation (ICEI 2018), Bangkok, Thailand. P. Walanaraya, W. Puengpipattrakul, and D. Sutivong. (2018, July 5-6). Movie Revenue Prediction Using Regression and Clustering. In Proceedings of the 2018 International Conference on Engineering Innovation (ICEI 2018), Bangkok, Thailand. A. Pisutaporn, B. Chonvirachkul, and D. Sutivong. (2018, May 11-22). Relevant Factors and Classification of Student Alcohol Consumption. In Proceedings of the 2018 IEEE International Conference on Innovative Research and Development (ICIRD 2018), Bangkok, Thailand. P. Sripawatakul and D. Sutivong. (2017, December 27-29). Predicting Customer Churn in Mobile Football Application. In Proceedings of the 2017 International Conference on Information Technology (ICIT 2017), Singapore. T. Suwannabool and D. Sutivong. (2012, December 10-13). Injection Mold Replacement Analysis in Automotive Industry. In Proceedings of the 2012 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2012), Hong Kong, China.
15 December 2025
Building 2, Faculty of Engineering,Chulalongkorn University
Bangkok 10330 THAILAND
