PHUDIT AMPRIRIT

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About

Telecommunication Engineer & Researcher.

Dr. Phudit Ampririt has a research background in wireless communication and intelligent networking systems. His work primarily focuses on 5G wireless networks, where he explores advanced technologies to enhance network efficiency, reliability, and scalability. He is particularly interested in software-defined networking (SDN) and its applications in optimizing network architecture and traffic management. His research also delves into admission control mechanisms, utilizing fuzzy logic and intelligent algorithms to improve decision-making processes in dynamic network environments. Through his innovative contributions, Dr. Ampririt aims to address the challenges of next-generation wireless networks, ensuring seamless connectivity and intelligent resource management. His research outcomes have significant implications for the development of future communication technologies.

  • Birthday: 26 November 1996
  • Job: Assistant Professor
  • Living City: Fukuoka, Japan
  • Age: 28
  • Degree: PhD
  • Email: iceattpon12@gmail.com

Academic Journaal
1st author 7 papers,
co-author 10 papers

International Conference
1st author 24 papers,
co-author 46 papers

Best Paper Reward

Skills

Here are the technologies and programming languages I excel in:

C/C++

C/C++

Python

Python

JavaScript

JavaScript

HTML

HTML

CSS

CSS

PHP

PHP

MySQL

MySQL

Node.js

Node.js

React

React

Express.js

Express.js

Git

Git

GitHub

GitHub

Education & Working Experience

Phudit Ampririt holds a B.E. degree from King Mongkut’s Institute of Technology Ladkrabang, Thailand, and earned his M.S. and Ph.D. from the Fukuoka Institute of Technology (FIT), Japan, in 2024. Currently serving as an Assistant Professor at the Department of Information and Communication Engineering, FIT

High School

Suankularb Wittayalai Nonthaburi School, Thailand

2012 - 2015

Graduated high school in the Mathematics-Science Programme

  • 51, 4 Tiwanon Rd, Pak Kret, Pak Kret District, Nonthaburi 11120, Thailand
  • +66 2 583 7030

University for Bachelor's degree

King Mongkut's Institute of Technology Ladkrabang, Thailand

2015 - 2018

Graduated B.E. degree in the Telecommunication Engineering Programme

  • 1 Chalong Krung 1 Alley, Lat Krabang, Bangkok 10520, Thailand
  • +66 2 329 8000

    • Japanses School

    FBK（FIT Bangkok Office at KMITL） 日本語学校

    2018 - 2019

    University for Master and PhD's degree

    Fukuoka Institute of Technology (FIT), Japan

    2019 - 2021 (Master's degree)

    2021 - 2024 (PhD's degree)

    3 Chome-30-1 Wajirohigashi, Higashi Ward, Fukuoka, Japan

    • Master of Engineering: Completed the Master’s Program in Information and Communication Engineering, Graduate School of Engineering, FIT
    • Doctor of Engineering: Completed the Doctoral Program in Intelligent Information Systems Engineering, Graduate School of Engineering, FIT

    Working Experience

    Assistant Professor at FIT, Japan

    2024- Present

    His work primarily focuses on 5G wireless networks, where he explores advanced technologies to enhance network efficiency, reliability, and scalability. He is particularly interested in Software-Defined Networking (SDN) and its applications in optimizing network architecture and traffic management. His research also delves into admission control mechanisms, utilizing fuzzy logic and intelligent algorithms to improve decision-making processes in dynamic network environments.

    Research Papers

    A list of academic publications authored or co-authored by Phudit Ampririt.

    • All
    • International Journals
    • International Conferences
    • First Author
    • Co-author

    １．International Journals (学術論文)

    ① First Author (第１著者 )

    1. Phudit Ampririt, Yi Liu, Makoto Ikeda, Keita Matsuo, Leonard Barolli, Makoto Takizawa, “Effect of Slice Priority for Admission Control in 5G Wireless Networks: A Comparison Study for Two Fuzzy-based Systems Considering Software-Defined-Networks”, Journal of High Speed Networks (JHSN), IOS Press, vol. 26, no. 3, pp. 169-183, DOI: https://doi.org/10.3233/JHS-200637, November 2020. IF: 0.9, CiteScore: 1.5.
    2. Phudit Ampririt, Seiji Ohara, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, Makoto Takizawa, “An Integrated Fuzzy-based Admission Control System (IFACS) for 5G Wireless Networks: Its Implementation and Performance Evaluation”, Internet of Things, Elsevier, vol. 13, 100351, DOI: https://doi.org/10.1016/j.iot.2020.100351, March 2021. IF: 5.9, CiteScore: 14.2.
    3. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schemes for Admission Control”, International Journal of Mobile Computing and Multimedia Communications (IJMCMC), vol. 12, no. 2, pp. 18-35, DOI: https://doi.org/10.4018/IJMCMC.2021040102, April 2021. IF: 0.6, CiteScore: 0.1.
    4. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “FSSLA: A Fuzzy-based scheme for slice service level agreement in 5G wireless networks and its performance evaluation”, Journal of High Speed Networks (JHSN), IOS Press, vol. 28, no. 1, pp. 47-64, DOI: https://doi.org/10.3233/JHS-220678, February 2022. IF: 0.9, CiteScore: 1.5.
    5. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “IFACS-Q3S: A New Admission Control System for 5G Wireless Networks Based on Fuzzy Logic and Its Performance Evaluation”, International Journal of Distributed Systems and Technologies (IJDST), vol. 13, no. 1, pp. 1-25, DOI: http://doi.org/10.4018/ijdst.300339, February 2022. IF: 0.667, CiteScore: 1.2.
    6. Phudit Ampririt, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “An intelligent fuzzy-based system for handover decision in 5G-IoT networks considering network slicing and SDN technologies”, Internet of Things, vol. 23, 100870, ISSN 2542-6605, DOI: https://doi.org/10.1016/j.iot.2023.100870, October 2023. IF: 5.9, CiteScore: 14.2.
    7. Phudit Ampririt, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-based System for Handover in 5G Wireless Networks Considering Different Network Slicing Constraints: A Comparison Study of Two Implemented Models”, International Journal of Grid and Utility Computing, accepted for publication, September 2023. IF: 0.5, CiteScore: 1.8.

    ② Co-author (共著者)

    1. Seiji Ohara, Admir Barolli, Phudit Ampririt, Shinji Sakamoto, Keita Matsuo, Leonard Barolli, “A Hybrid Intelligent Simulation System for Constructing IoT Networks: Performance Evaluation of WMN-PSODGA Simulation System Considering Different Router Replacement Methods”, Internet of Things, Elsevier, Article 100215, DOI: https://doi.org/10.1016/j.iot.2020.100215, September 2020. IF: 5.9, CiteScore: 14.2.
    2. Yi Liu, Ermioni Qafzezi, Phudit Ampririt, Seiji Ohara, Leonard Barolli, “FBPCQS-Fuzzy-Based Peer Coordination Quality Systems for P2P Networks: Implementation and Performance Evaluation”, International Journal of Mobile Computing and Multimedia Communications (IJMCMC), IGI Global, Vol. 11, No. 3, Article 2, pp. 22-37, DOI: https://10.4018/IJMCMC.2020070102, July-September 2020. IF: 0.6, CiteScore: 0.1.
    3. Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “Performance Evaluation of an Integrated Fuzzy-Based Driving-Support System for Real-Time Risk Management in VANETs”, Sensors, MDPI, Vol. 20, 6537, DOI: https://10.3390/s20226537, November 2020. IF: 3.9, CiteScore: 6.8.
    4. Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “Effect of Vehicle Technical Condition on Real-Time Driving Risk Management in Internet of Vehicles: Design and Performance Evaluation of an Integrated Fuzzy-Based System”, Internet of Things, Elsevier, Vol. 13, 100363, DOI: https://10.1016/j.iot.2021.100363, March 2021. IF: 5.9, CiteScore: 14.2.
    5. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based Approach for Resource Management in SDN-VANETs: Effect of Trustworthiness on Assessment of Available Edge Computing Resources”, Journal of High Speed Networks (JHSN), IOS Press, Vol. 27, No. 1, pp. 33-44, DOI: https://10.3233/JHS-210650, March 2021. IF: 0.9, CiteScore: 1.5.
    6. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A QoS-Aware Fuzzy-Based System for Assessment of Edge Computing Resources in SDN-VANETs: System Implementation and Performance Evaluation”, International Journal of Mobile Computing and Multimedia Communications (IJMCMC), IGI Global, Vol. 12, No. 4, pp. 1-16, DOI: https://10.4018/IJMCMC.289161, October 2021. IF: 0.6, CiteScore: 0.1.
    7. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “An Intelligent Approach for Cloud-Fog-Edge Computing SDN-VANETs Based on Fuzzy Logic: Effect of Different Parameters on Coordination and Management of Resources”, Sensors, MDPI, Vol. 22, No. 3, 878, DOI: https://10.3390/s22030878, February 2022. IF: 3.9, CiteScore: 6.8.
    8. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based Approach for the Assessment of the Edge Layer Processing Capability in SDN-VANETs: A Comparison Study of Testbed and Simulation System Results”, Vehicles, MDPI, Vol. 5, No. 3, pp. 1087-1103, DOI: https://doi.org/10.3390/vehicles5030059, September 2023. IF: 2.2, CiteScore: 2.9.
    9. Shunya Higashi, Phudit Ampririt, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Comparison Study of Two Implemented Fuzzy-Based Models for Decision of Logical Trust”, Journal of High Speed Networks (JHSN), IOS Press, Vol. 30, No. 2, pp. 279-295, DOI: https://10.3233/JHS-230189, October 2023. IF: 0.9, CiteScore: 1.5.
    10. Shunya Higashi, Phudit Ampririt, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Assessment of Emotional Trust: A Comparison Study of Two Implemented Models”, accepted for publication in International Journal of Grid and Utility Computing, September 2023. IF: 0.5, CiteScore: 1.8.

    ２．国際会議 International Conferences

    ① First Author (第１著者 )

    1. Phudit Ampririt, Seiji Ohara, Yi Liu, Makoto Ikeda, Hiroshi Maeda, Leonard Barolli, “A Fuzzy-Based System for Admission Control in 5G Wireless Networks Considering Software-Defined Network Approach”, Proc. of EIDWT-2020, pp. 73-81, Kitakyushu, Japan, DOI: https://doi.org/10.1007/978-3-030-39746-3_9, February 2020.
    2. Phudit Ampririt, Yi Liu, Makoto Ikeda, Keita Matsuo, Leonard Barolli, Makoto Takizawa, “An Admission Control System for 5G Wireless Networks Considering Fuzzy Logic and Software-Defined Network Approaches”, Proc. of CISIS-2020, pp. 63-72, Lodz, Poland, DOI: https://doi.org/10.1007/978-3-030-50454-0_7, July 2020.
    3. Phudit Ampririt, Seiji Ohara, Makoto Ikeda, Keita Matsuo, Leonard Barolli, Makoto Takizawa, “Effect of Network Slice Duration for 5G Wireless Networks: A Fuzzy-Based Admission Control System Considering Software-Defined Network Approach”, Proc. of NBiS-2020, pp. 508-517, Victoria, Canada, DOI: https://doi.org/10.1007/978-3-030-57811-4_51, August 2020.
    4. Phudit Ampririt, Seiji Ohara, Ermioni Qafzezi, Makoto Ikeda, Leonard Barolli, Makoto Takizawa, “Integration of Software-Defined Network and Fuzzy Logic Approaches for Admission Control in 5G Wireless Networks: A Fuzzy-Based Scheme for QoS Evaluation”, Proc. of BWCCA-2020, pp. 386-396, Yonago, Tottori, Japan, DOI: https://doi.org/10.1007/978-3-030-61108-8_38, October 2020.
    5. Phudit Ampririt, Seiji Ohara, Ermioni Qafzezi, Makoto Ikeda, Leonard Barolli, Makoto Takizawa, “Effect of Slice Overloading Cost on Admission Control for 5G Wireless Networks: A Fuzzy-based System and Its Performance Evaluation”, Proc. of EIDWT-2021, pp. 24-35, Chiang Mai, Thailand, DOI: https://doi.org/10.1007/978-3-030-70639-5_3, February 2021.
    6. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-based Scheme for Admission Control in 5G Wireless Networks: Improvement of Slice QoS Considering Slice Reliability as a New Parameter”, Proc. of AINA-2021, pp. 17-29, Toronto, Canada, DOI: https://doi.org/10.1007/978-3-030-75078-7_3, May 2021.
    7. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A New Scheme for Slice Overloading Cost in 5G Wireless Networks Considering Fuzzy Logic”, Proc. of CISIS-2021, pp. 110-120, Asan, Korea, DOI: https://doi.org/10.1007/978-3-030-79725-6_11, July 2021.
    8. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-based System for User Service Level Agreement in 5G Wireless Networks”, Proc. of INCoS-2021, pp. 272-282, Taichung, Taiwan, DOI: https://doi.org/10.1007/978-3-030-84910-8_10, September 2021.
    9. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “An Intelligent System for Admission Control in 5G Wireless Networks Considering Fuzzy Logic and SDNs: Effects of Service Level Agreement on Acceptance Decision”, Proc. of 3PGCIC-2021, pp. 185-196, Fukuoka, Japan, DOI: https://doi.org/10.1007/978-3-030-89899-1_19, October 2021.
    10. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-based System for Slice Service Level Agreement in 5G Wireless Networks: Effect of Traffic Load Parameter”, Proc. of EIDWT-2022, pp. 272-282, Okayama, Japan, DOI: https://doi.org/10.1007/978-3-030-95903-6_29, March 2022.
    11. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-based Scheme for Slice Priority Assessment in 5G Wireless Networks”, Proc. of AINA-2022, pp. 651-661, Sydney, Australia, DOI: https://doi.org/10.1007/978-3-030-99584-3_56, April 2022.
    12. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-based System for Handover in 5G Wireless Networks Considering Network Slicing Constraints”, Proc. of CISIS-2022, pp. 180-189, Kitakyushu, Japan, DOI: https://doi.org/10.1007/978-3-031-08812-4_18, June 2022.
    13. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-based System for Handover in 5G Wireless Networks Considering Different Network Slicing Constraints: Effects of Slice Load Parameter on Handover Decision”, Proc. of NBIS-2022, pp. 152-162, Kwansei Gakuin University, Japan, DOI: https://doi.org/10.1007/978-3-031-14314-4_15, September 2022.
    14. Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Handover in 5G Wireless Networks Considering Different Network Slicing Constraints: Effects of Slice Reliability Parameter on Handover Decision”, Proc. of BWCCA-2022, pp. 27–37, Polytechnic University of Tirana, Tirana, Albania, DOI: https://doi.org/10.1007/978-3-031-20029-8_3, October 2022.
    15. Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based Approach for Selection of Radio Access Technologies in 5G Wireless Networks”, Proc. of EIDWT-2023, pp. 297–307, Universitas Islam Sultan Agung (UNISSULA), Semarang, Indonesia, DOI: https://doi.org/10.1007/978-3-031-26281-4_31, February 2023.
    16. Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based Scheme for Selection of Radio Access Technologies in 5G Wireless Networks: QoE Assessment and Its Performance Evaluation”, Proc. of AINA-2023, Vol. 1, pp. 44–53, Federal University of Juiz de Fora, Brazil, DOI: https://doi.org/10.1007/978-3-031-29056-5_5, March 2023.
    17. Phudit Ampririt, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Selection of Radio Access Technology in 5G Wireless Networks Considering QoE as a New Parameter”, Proc. of IMIS-2023, pp. 149–159, Toronto Metropolitan University, Canada, DOI: https://doi.org/10.1007/978-3-031-35836-4_17, July 2023.
    18. Phudit Ampririt, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Selection of Radio Access Technologies in 5G Wireless Networks: Effect of Security Parameter on Quality of Experience Assessment”, Proc. of INCoS-2023, pp. 211–222, Chiang Mai, Thailand, DOI: https://doi.org/10.1007/978-3-031-40971-4_20, September 2023.
    19. Phudit Ampririt, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “Design and Implementation of a Fuzzy-Based System and a Testbed for Selection of Radio Access Technologies in 5G Wireless Networks”, Proc. of 3PGCIC-2023, pp. 48–58, Daegu, South Korea, DOI: https://doi.org/10.1007/978-3-031-40971-4_20, November 2023.
    20. Phudit Ampririt, Shunya Higashi, Paboth Kraikritayakul, Ermioni Qafzezi, Keita Matsuo, Leonard Barolli, “Implementation of a Fuzzy-Based Testbed for Selection of Radio Access Technologies in 5G Wireless Networks and Its Performance Evaluation”, Proc. of EIDWT-2024, pp. 318–331, University of Naples “Federico II”, Naples, Italy, DOI: https://doi.org/10.1007/978-3-031-53555-0_30, February 2024.
    21. Phudit Ampririt, Shunya Higashi, Paboth Kraikritayakul, Ermioni Qafzezi, Keita Matsuo, Leonard Barolli, “A Comparison Study of a Fuzzy-Based Simulation System and Testbed for Selection of Radio Access Technologies in 5G Wireless Networks”, Proc. of AINA-2024, vol.1, pp. 153–165, Kitakyushu International Convention Center, Kitakyushu, Japan, DOI: https://doi.org/10.1007/978-3-031-57840-3_14, April 2024.
    22. Phudit Ampririt, Shunya Higashi, Paboth Kraikritayakul, Ermioni Qafzezi, Keita Matsuo, Leonard Barolli, “A Fuzzy-based System for Selection of Radio Access Technology in 5G Wireless Networks Considering RAT Load as a New Parameter”, Proc. of CISIS-2024, pp. 119–131, Thunghai University, Taichung, Taiwan, April 2024.
    23. Phudit Ampririt, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Selection of Slice Service Type in 5G/6G Wireless Networks”, Proc. of NBiS-2024, pp. 14–24, Soonchunhyang (SCH) University, Asan, South Korea, DOI: https://doi.org/10.1007/978-3-031-72325-4_2, September 2024.
    24. Phudit Ampririt, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Handover in 5G/B5G Wireless Networks: Effect of Slice Active Time on Handover Decision”, Proc. of BWCCA-2024, pp. 27–39, San Benedetto del Tronto, Italy, DOI: https://doi.org/10.1007/978-3-031-76452-3_3, November 2024.

    ② Co-author (共著者)

    1. Yi Liu, Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Leonard Barolli, Makoto Takizawa, "A Fuzzy-Based Decision System for Sightseeing Spots Considering Natural Scenery and Visiting Cost as New Parameters", Proc. of EIDWT-2020, pp. 82-88, Kitakyushu, Japan, DOI: https://doi.org/10.1007/978-3-030-39746-3_10, February 2020.
    2. Seiji Ohara, Admir Barolli, Phudit Ampririt, Shinji Sakamoto, Leonard Barolli, Makoto Takizawa, “Performance Evaluation of WMN-PSODGA Hybrid Simulation System for Node Placement Problem Considering Normal Distribution and Different Fitness Functions”, Proc. of EIDWT-2020, pp. 89-101, Kitakyushu, Japan, DOI: https://doi.org/10.1007/978-3-030-39746-3_11, February 2020.
    3. Seiji Ohara, Admir Barolli, Phudit Ampririt, Shinji Sakamoto, Leonard Barolli, Makoto Takizawa, “A Comparison Study of Constriction and Random Inertia Weight Router Replacement Methods for WMNs Using WMN-PSODGA Hybrid Intelligent System”, Proc. of AINA Workshops 2020, pp. 504-515, Caserta, Italy, DOI: https://doi.org/10.1007/978-3-030-44038-1_46, April 2020.
    4. Shinji Sakamoto, Admir Barolli, Phudit Ampririt, Leonard Barolli, and Shusuke Okamoto, “Performance Evaluation of RIWM and RDVM Router Replacement Methods for WMNs by WMN-PSOHC Hybrid Intelligent System”, Proc. of INCoS-2020, pp. 26-35, Victoria, Canada, DOI: https://doi.org/10.1007/978-3-030-57796-4_3, August 2020.
    5. Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Keita Matsuo, Leonard Barolli, and Makoto Takizawa, “An Integrated Fuzzy-Based Simulation System for Driving Risk Management in VANETs Considering Road Condition as a New Parameter”, Proc. of INCoS-2020, pp. 15-25, Victoria, Canada, DOI: https://doi.org/10.1007/978-3-030-57796-4_2, August 2020.
    6. Seiji Ohara, Admir Barolli, Phudit Ampririt, Keita Matsuo, Leonard Barolli, and Makoto Takizawa, “Performance Evaluation of WMNs by WMN-PSODGA Simulation System Considering Exponential Distribution of Mesh Clients and Different Router Replacement Methods”, Proc. of INCoS-2020, pp. 1-14, Victoria, Canada, DOI: https://doi.org/10.1007/978-3-030-57796-4_1, August 2020.
    7. Admir Barolli, Shinji Sakamoto, Phudit Ampririt, Seiji Ohara, Leonard Barolli, and Makoto Takizawa, “Performance Evaluation of WMN-PSOSA-DGA Simulation System Considering Uniform and Chi-Square Client Distributions”, Proc. of NBiS-2020, pp. 32-42, Victoria, Canada, DOI: https://doi.org/10.1007/978-3-030-57811-4_4, August 2020.
    8. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Leonard Barolli, Makoto Takizawa, “A Fuzzy-Based System for Assessment of Available Edge Computing Resources in a Cloud-Fog-Edge SDN-VANETs Architecture”, Proc. of NBiS-2020, pp. 10-19, Victoria, Canada, DOI: https://doi.org/10.1007/978-3-030-57811-4_2, August 2020.
    9. Admir Barolli, Shinji Sakamoto, Phudit Ampririt, Seiji Ohara, Leonard Barolli, Makoto Takizawa, “A Comparison Study of Constriction and Random Inertia Weight Router Replacement Methods for WMNs by WMN-PSOSA-DGA Hybrid Simulation System Considering Chi-square Distribution of Mesh Clients”, Proc. of BWCCA-2020, pp. 11–21 Yonago, Tottori, Japan, DOI: https://doi.org/10.1007/978-3-030-61108-8_2, October 2020.
    10. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Leonard Barolli, Makoto Takizawa, “Assessment of Available Edge Computing Resources in SDN-VANETs by a Fuzzy-Based System Considering Trustworthiness as a New Parameter”, Proc. of 3PGCIC-2020, pp. 102–112, Yonago, Tottori, Japan, DOI: https://doi.org/10.1007/978-3-030-61105-7_11, October 2020.
    11. Seiji Ohara, Admir Barolli, Phudit Ampririt, Keita Matsuo, Leonard Barolli, “Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Uniform Distribution of Mesh Clients and Different Router Replacement Methods”, Proc. of 3PGCIC-2020, pp. 397-409, Yonago, Tottori, Japan, DOI: https://doi.org/10.1007/978-3-030-61105-7_40, October 2020.
    12. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Leonard Barolli, Makoto Takizawa, "Resource Management in SDN-VANETs Using Fuzzy Logic: Effect of Average Processing Capability per Neighbor Vehicle on Management of Cloud-Fog-Edge Resources," Proc. of EIDWT-2021, pp. 155-167, Chiang Mai, Thailand, DOI: https://doi.org/10.1007/978-3-030-70639-5_15, February 2021.
    13. Seiji Ohara, Admir Barolli, Phudit Ampririt, Keita Matsuo, Leonard Barolli, Makoto Takizawa, “A Hybrid Intelligent Simulation System for Node Placement in WMNs Considering Chi-square Distribution of Mesh Clients and Different Router Replacement Methods”, Proc. of EIDWT-2021, pp.179-187, Chiang Mai, Thailand, DOI: https://doi.org/10.1007/978-3-030-70639-5_2, February 2021.
    14. Admir Barolli, Shinji Sakamoto, Phudit Ampririt, Seiji Ohara, Leonard Barolli, Makoto Takizawa, “Performance Comparison of Constriction and Linearly Inertia Decreasing Weight Router Replacement Methods for WMNs by WMN-PSOSA-DGA Hybrid Simulation System Considering Chi-square Distribution of Mesh Clients”, Proc. of EIDWT-2021, pp.93-103, Chiang Mai, Thailand, DOI: https://doi.org/10.1007/978-3-030-70639-5_9, February 2021.
    15. Admir Barolli, Shinji Sakamoto, Phudit Ampririt, Leonard Barolli, Makoto Takizawa, “Performance Evaluation of RIWM and LDVM Router Replacement Methods for WMNs by WMN-PSOSA-DGA Considering Chi-Square Distribution”, Proc. of AINA-2021, Vol. 1, pp. 82–91, Toronto, Canada, DOI: https://doi.org/10.1007/978-3-030-75100-5_8, May 2021.
    16. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, "A QoS-Aware Fuzzy-Based System for Assessment of Edge Computing Resources in SDN-VANETs,” Proc. of AINA-2021, Vol. 1, pp. 63-72, Toronto, Canada, DOI: https://doi.org/10.1007/978-3-030-75100-5_6, May 2021.
    17. Peng Xu, Admir Barolli, Phudit Ampririt, Shinji Sakamoto, Leonard Barolli,“A Comparison Study of CM and RIWM Router Replacement Methods for WMNs Considering Boulevard Distribution of Mesh Clients”, Proc. of INCoS-2021, pp. 195-208, Taichung, Taiwan, DOI: https://doi.org/10.1007/978-3-030-84910-8_21, September 2021.
    18. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, "A Fuzzy-Based System for Assessment of Quality of Service Communication Links in SDN-VANETs," Proc. of BWCCA-2021, pp. 120-128, Fukuoka, Japan, DOI: https://doi.org/10.1007/978-3-030-90072-4_12, October 2021.
    19. Peng Xu, Admir Barolli, Phudit Ampririt, Shinji Sakamoto, Elis Kulla & Leonard Barolli, “A Comparison Study of LDIWM and LDVM Router Replacement Methods for WMNs by WMN-PSODGA Hybrid Simulation System Considering Boulevard Distribution of Mesh Clients”, Proc. of 3PGCIC-2021, pp. 116–128, Fukuoka, Japan, DOI: https://doi.org/10.1007/978-3-030-89899-1_12, October 2021.
    20. Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Deciding Driver Impatience in VANETs,” Proc. of 3PGCIC-2021, pp. 129–137, Fukuoka, Japan, DOI: https://doi.org/10.1007/978-3-030-89899-1_13, October 2021.
    21. Admir Barolli, Phudit Ampririt, Shinji Sakamoto, Elis Kulla, Leonard Barolli, “A Comparison Study of RIWM with RDVM and CM Router Replacement Methods for WMNs Considering Boulevard Distribution of Mesh Clients”, Proc. of EIDWT-2022, pp. 223-235, Okayama, Japan, DOI: https://doi.org/10.1007/978-3-030-95903-6_24, March 2022.
    22. Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, "A Fuzzy-Based System for Safe Driving in VANETs Considering Impact of Driver Impatience on Stress Feeling Level," Proc. of EIDWT-2022, pp. 236-244, Okayama, Japan, DOI: https://doi.org/10.1007/978-3-030-95903-6_25, March 2022.
    23. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, "A Fuzzy-Based System for Assessment of QoS of V2V Communication Links in SDN-VANETs," Proc. of EIDWT-2022, pp. 153-162, Okayama, Japan, DOI: https://doi.org/10.1007/978-3-030-95903-6_17, March 2022.
    24. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, "A Survey on Advances in Vehicular Networks: Problems and Challenges of Architectures, Radio Technologies, Use Cases, Data Dissemination and Security," Proc. of AINA-2022, Vol. 3, pp. 602-613, Sydney, Australia, DOI: https://doi.org/10.1007/978-3-030-99587-4_1, April 2022.
    25. Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, "A Fuzzy-Based System for Determining Driver Stress in VANETs Considering Driving Experience and History," Proc. of AINA-2022, Vol. 2, pp. 1-9, Sydney, Australia, DOI: https://doi.org/10.1007/978-3-030-99587-4_1, April 2022.
    26. Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Elis Kulla, Leonard Barolli, “Unnecessary Maneuvers as a Determinant of Driver Impatience in VANETs: Implementation and Evaluation of a Fuzzy-based System”, Proc. of CISIS-2022, pp.1-9, Kitakyushu International Convention Center, Kitakyushu, Japan, DOI: https://doi.org/10.1007/978-3-031-08812-4_1, June 2022.
    27. Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Assessment of Fog Computing Resources in SDN-VANETs”, Proc. of IMIS-2022, pp.1-9, Kitakyushu International Convention Center, Kitakyushu, Japan, DOI: https://doi.org/10.1007/978-3-031-08819-3_1, June 2022.
    28. Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Admir Barolli, Elis Kulla, Leonard Barolli, “A Fuzzy-Based System for Determining Driver Impatience in VANETs Considering Number of Forced Stops, Unnecessary Maneuvers, Time Pressure and Task Importance”, Proc. of NBiS-2022, pp. 163-171, DOI: https://doi.org/10.1007/978-3-031-14314-4_16, August 2022.
    29. Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Admir Barolli, Elis Kulla, Leonard Barolli, “Performance Comparison of Roulette Wheel and Random Selection Methods by WMN-PSODGA Simulation System Considering Stadium Distribution and LDIWM”, Proc. of BWCCA-2022, pp.15-26, Polytechnic University of Tirana, Tirana, Albania, DOI: https://doi.org/10.1007/978-3-031-20029-8_2, October 2022.
    30. Shunya Higashi, Phudit Ampririt, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “Design and Performance Evaluation of a Fuzzy-Based System for Assessment of Emotional Trust”, Proc. of CISIS-2023, pp. 116–123, Toronto Metropolitan University, Canada, DOI: https://doi.org/10.1007/978-3-031-35734-3_12, July 2023.
    31. Ermioni Qafzezi, Kevin Bylykbashi, Shunya Higashi, Phudit Ampririt, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based Error Driving System for Improving Driving Performance in VANETs”, Proc. of CISIS-2023, pp. 161–169, Toronto Metropolitan University, Canada, DOI: https://doi.org/10.1007/978-3-031-35734-3_16, July 2023.
    32. Ermioni Qafzezi, Kevin Bylykbashi, Shunya Higashi, Phudit Ampririt, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based Error Driving System: Effect of Non Performance Error for Improving Driving Performance in VANETs”, Proc. of NBiS 2023, pp. 12-20, Chiang Mai, Thailand, DOI: https://doi.org/10.1007/978-3-031-40978-3_2, September 2023.
    33. Shunya Higashi, Phudit Ampririt, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based Approach for Assessment of Emotional Trust Considering Four Input Parameters for Implemented System”, Proc. of NBiS-2023, pp. 170–179, Chiang Mai, Thailand, DOI: https://doi.org/10.1007/978-3-031-40978-3_19, September 2023.
    34. Ermioni Qafzezi, Kevin Bylykbashi, Shunya Higashi, Phudit Ampririt, Keita Matsuo, Leonard Barolli, “A Fuzzy-based System for Assessment of Recognition Error in VANETs”, Proc. of BWCCA-2023, pp. 159–167, Daegu, South Korea, DOI: https://doi.org/10.1007/978-3-031-46784-4_14, November 2023.
    35. Shunya Higashi, Phudit Ampririt, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, "FSALT: A Fuzzy-based System for Assessment of Logical Trust and Its Performance Evaluation", Proc. of BWCCA-2023, pp. 292-301, Daegu, South Korea, DOI: https://doi.org/10.1007/978-3-031-46784-4_28, November 2023.
    36. Shunya Higashi, Phudit Ampririt, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “Implementation of a Fuzzy-Based System for Assessment of Logical Trust Considering Reliability as a New Parameter”, Proc. of EIDWT-2024, pp. 43–52, University of Naples “Federico II”, Naples, Italy, DOI: https://doi.org/10.1007/978-3-031-53555-0_5, February 2024.
    37. Ermioni Qafzezi, Kevin Bylykbashi, Shunya Higashi, Phudit Ampririt, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Assessment of Recognition Error in VANETs Considering Inattentive Driving as New Parameter”, Proc. of EIDWT-2024, pp. 332–342, University of Naples “Federico II”, Naples, Italy, DOI: https://doi.org/10.1007/978-3-031-53555-0_31, February 2024.
    38. Ermioni Qafzezi, Kevin Bylykbashi, Shunya Higashi, Phudit Ampririt, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Assessment of Performance Error in VANETs”, Proc. of AINA-2024, Vol.3, pp. 133–142, Kitakyushu International Convention Center, Kitakyushu, Japan, DOI: https://doi.org/10.1007/978-3-031-57870-0_12, April 2024.
    39. Shunya Higashi, Phudit Ampririt, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “Design and Implementation of a Fuzzy-Based System for Assessment of Relational Trust”, Proc. of AINA-2024, Vol. 4, pp. 38–47, Kitakyushu International Convention Center, Kitakyushu, Japan, DOI: https://doi.org/10.1007/978-3-031-57916-5_4, April 2024.
    40. Ermioni Qafzezi, Kevin Bylykbashi, Shunya Higashi, Phudit Ampririt, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Assessment of Performance Error in VANETs Considering Environmental Stressors”, Proc. of IMIS-2024, pp. 148–156, Thunghai University, Taichung, Taiwan, DOI: https://doi.org/10.1007/978-3-031-64766-6_15, April, 2024.
    41. Shunya Higashi, Phudit Ampririt, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Assessment of Relational Trust Considering Reputation as a New Parameter”, Proc. of IMIS-2024, pp. 179–188, Thunghai University, Taichung, Taiwan, DOI: https://doi.org/10.1007/978-3-031-64766-6_18, April, 2024.
    42. Ermioni Qafzezi, Kevin Bylykbashi, Shunya Higashi, Phudit Ampririt, Keita Matsuo, Leonard Barolli, “A Fuzzy-Based System for Node Selection and Routing in Vehicular Opportunistic Networks”, Proc. of INCoS-2024, pp. 12–21, Soonchunhyang (SCH) University, Asan, South Korea, DOI: https://doi.org/10.1007/978-3-031-72322-3_2, September, 2024.
    43. Shunya Higashi, Phudit Ampririt, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-based System for Evaluation of User Trust in Social Networks”, Proc. of INCoS-2024, pp. 87–96, Soonchunhyang (SCH) University, Asan, South Korea, DOI: https://doi.org/10.1007/978-3-031-72322-3_9, September, 2024.
    44. Ermioni Qafzezi, Kevin Bylykbashi, Shunya Higashi, Phudit Ampririt, Keita Matsuo, Leonard Barolli, “Performance Evaluation of Fuzzy-based Routing System for Vehicular Opportunistic Networks Considering Delivery Probability and Overhead Metrics”, Proc. of BWCCA-2024, pp. 345–354, San Benedetto del Tronto, Italy, DOI: https://doi.org/10.1007/978-3-031-76452-3_33, November 2024.
    45. Shunya Higashi, Phudit Ampririt, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli, “A Fuzzy-based System for Assessment of Tie Strength in Online Social Networks”, Proc. of 3PGCIC-2024, pp. 133–141, San Benedetto del Tronto, Italy, DOI: https://doi.org/10.1007/978-3-031-76462-2_12, November 2024.
    46. Paboth Kraikritayakul, Yusuke Irie, Phudit Ampririt, Admir Barolli, Shinji Sakamoto, Leonard Barolli, “A Comparison Study of Three Router Replacement Methods for SPX and UNDX Crossover Methods Considering Two Islands Distribution of Mesh Clients”, Proc. of BWCCA-2024, pp. 333–344, San Benedetto del Tronto, Italy, DOI: https://doi.org/10.1007/978-3-031-76452-3_32, November 2024.
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