@article{Guo2025b,

title = {Clustered federated learning with heterogeneous differential privacy on Non-IID data},

author = {Ping Guo and Cheng Bai and Mingxing Zhang and Puwadol Oak Dusadeerungsikul},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105019513032&doi=10.1016%2fj.comcom.2025.108339&partnerID=40&md5=4274fa34dde523e1a7d2deb4ed477683},

doi = {10.1016/j.comcom.2025.108339},

year  = {2025},

date = {2025-01-01},

journal = {Computer Communications},

volume = {244},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jarumaneeroj2025,

title = {Eco-friendly long-haul perishable product transportation with multi-compartment vehicles},

author = {Pisit Jarumaneeroj and Supisara Krairiksh and Puwadol Oak Dusadeerungsikul and Dong Li and Çağatay Iris},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217719766&doi=10.1016%2fj.cie.2025.110934&partnerID=40&md5=c69a7e194c2581a7efb0eaa0834acf4f},

doi = {10.1016/j.cie.2025.110934},

year  = {2025},

date = {2025-01-01},

journal = {Computers and Industrial Engineering},

volume = {202},

publisher = {Elsevier Ltd},

abstract = {Multi-compartment refrigerated vehicles (MCVs) have been recently utilized in long-haul perishable product transportation, thanks to their flexibility in storage capacity with different temperature settings. To better understand trade-offs between economic and environmental aspects of long-haul transportation of perishable products with refrigerated vehicles, a Multi-Compartment Vehicle Loading and Scheduling Problem (MCVLSP) that minimizes three objectives—transportation cost, carbon emissions, and total food loss—is herein solved by mathematical modeling and genetic algorithm (GA) approaches. Our computational results indicate that larger MCVLSP instances cannot be solved to optimality using the mathematical model with off-the-shelf optimization software packages. The proposed GA delivers strong computational performance for MCVLSP with respect to solution quality and computational time. We find that, among three objectives, the environmental objective is the most sensitive one as slight difference in either vehicle loading or scheduling decisions could result in solutions with significantly varying carbon emissions. Moreover, solutions with fewer MCVs are not necessarily environmentally sustainable. Rather, deploying larger MCV fleets could potentially result in lower carbon emissions and food weight loss for perishable products—albeit a slight increase in total transportation cost—due to the changes in vehicle loading and scheduling decisions. © 2025 The Author(s)},

note = {Cited by: 4; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Guo2025,

title = {BMCH: Blockchain-enhanced multidimensional behavior scoring and privacy-preserving cluster head election scheme for the internet of vehicles},

author = {Ping Guo and Yuheng Jiang and Yanglei Gao and Puwadol Oak Dusadeerungsikul},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105015534927&doi=10.1016%2fj.adhoc.2025.104022&partnerID=40&md5=71989beb6f37aa8bcee4fabb7a65eda9},

doi = {10.1016/j.adhoc.2025.104022},

year  = {2025},

date = {2025-01-01},

journal = {Ad Hoc Networks},

volume = {179},

note = {Cited by: 2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dusadeerungsikul2024b,

title = {Precision agriculture with AI-based responsive monitoring algorithm},

author = {Puwadol Oak Dusadeerungsikul and Shimon Y. Nof},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188716621&doi=10.1016%2fj.ijpe.2024.109204&partnerID=40&md5=ce988c0c79b8372d3142015f28985a74},

doi = {10.1016/j.ijpe.2024.109204},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Production Economics},

volume = {271},

note = {Cited by: 16},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dusadeerungsikul2024,

title = {A Collaborative Control Protocol with Artificial Intelligence for Medical Student Work Scheduling},

author = {P. O. Dusadeerungsikul and S. Y. Nof},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200259818&doi=10.15837%2fIJCCC.2024.4.6686&partnerID=40&md5=19daa3a6813dd9fa9a7d897b51e830f9},

doi = {10.15837/IJCCC.2024.4.6686},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Computers, Communications and Control},

volume = {19},

number = {4},

note = {Cited by: 4; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dusadeerungsikul20236552,

title = {Cyber collaborative warehouse with dual-cycle operations design},

author = {Puwadol Oak Dusadeerungsikul and Shimon Y. Nof},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141096732&doi=10.1080%2f00207543.2022.2132313&partnerID=40&md5=775348034638cc51222b8e3774ed09d4},

doi = {10.1080/00207543.2022.2132313},

year  = {2023},

date = {2023-01-01},

journal = {International Journal of Production Research},

volume = {61},

number = {19},

pages = {6552 – 6564},

note = {Cited by: 2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dusadeerungsikul20231481,

title = {Automation Statistics},

author = {Puwadol Oak Dusadeerungsikul and Win P. V. Nguyen},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163048235&doi=10.1007%2f978-3-030-96729-1_74&partnerID=40&md5=fbb5f3e6c8f4a64d6f4d8002b134ae7e},

doi = {10.1007/978-3-030-96729-1_74},

year  = {2023},

date = {2023-01-01},

journal = {Springer Handbooks},

volume = {Part F674},

pages = {1481 – 1501},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Nguyen2022723,

title = {Plant stress propagation detection and monitoring with disruption propagation network modelling and Bayesian network inference},

author = {Win P. V. Nguyen and Puwadol Oak Dusadeerungsikul and Shimon Y. Nof},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121432455&doi=10.1080%2f00207543.2021.2009139&partnerID=40&md5=3d76c1959717576876e1f3f256dbef5c},

doi = {10.1080/00207543.2021.2009139},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Production Research},

volume = {60},

number = {2},

pages = {723 – 741},

note = {Cited by: 3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}