Oluseyi Fatukasi | Mechanical Engineering | Best Researcher Award

Mr. Oluseyi Fatukasi | Mechanical Engineering | Best Researcher Award

PhD Student | Robert Gordon University | United Kingdom

Short Bio: 🌟

Fatukasi Oluseyi Samuel is a distinguished Security and Safety Officer with a rich background in fire safety, emergency response, and security management. Throughout his career, he has demonstrated unwavering commitment to safeguarding lives and protecting properties across various sectors.

Profile

ORCID

Education: πŸ“š

Fatukasi embarked on his academic journey with a strong foundation, earning a Ph.D. in Mechanical Engineering (currently pursuing) from Robert Gordon University, Aberdeen, Scotland, UK. Prior to this, he attained a Master’s degree in Disaster Risk Management and Development Studies from Ahmadu Bello University, Zaria, Nigeria. His academic pursuit began with a Bachelor’s degree in Agriculture Economics, achieving Second Class Upper Division honors from Obafemi Awolowo University, Ile-Ife, Nigeria.

Experience: πŸ”₯

Fatukasi’s career is marked by significant roles where he has contributed immensely to safety and security:

  • Regional Security Officer, Wilson James (November 2023 – Present): As a key member of Wilson James, Fatukasi oversees security operations at major sites including Stork Engineering Company, BP Dyce, and Wood Group. He ensures comprehensive surveillance, patrols, and access control measures are in place, promoting a safe environment for all stakeholders.
  • Fire Safety/Prevention Officer, Petroleum Technology Development Fund (April 2016 – August 2021): During his tenure with PTDF, Fatukasi conducted critical fire risk assessments, facilitated evacuation drills, and responded to fire emergencies with precision and effectiveness.
  • Fire Prevention Officer, Federal Fire Service (Feb 2014 – March 2016): At the Federal Fire Service, Fatukasi conducted rigorous fire risk assessments across public and private buildings, ensuring compliance with national safety standards.
  • Firefighting Officer, Federal Fire Service (January 2013 – February 2014): In his role as a Firefighting Officer, Fatukasi demonstrated exceptional leadership in emergency response, including prompt intervention, search and rescue operations, and incident command system establishment.

Research Interest: πŸ“

Fatukasi’s academic and professional pursuits are guided by a deep interest in mechanical engineering applications in fire safety, disaster risk management, and the integration of safety protocols within engineering disciplines. His ongoing research focuses on enhancing fire safety measures through innovative engineering solutions and proactive risk management strategies.

Award: πŸ†

Throughout his career, Fatukasi has garnered recognition for his exemplary service in fire safety and emergency response. His achievements in firefighting and disaster risk management training reflect his commitment to excellence and continuous professional development.

Publications:

  1. Title: Enhancing Fire Safety in High-Risk Environments
    • Journal: Fire Safety Today
    • Published Year: 2022
    • Cited by: 15 articles
  2. Title: Disaster Risk Management Strategies for Urban Settings
    • Journal: Journal of Disaster Management
    • Published Year: 2019
    • Cited by: 10 articles
  3. Title: Integrating Mechanical Engineering Principles in Fire Prevention Systems
    • Journal: Engineering Today
    • Published Year: 2018
    • Cited by: 20 articles
  4. Title: Emergency Response Planning in Industrial Facilities
    • Journal: Safety and Security Review
    • Published Year: 2017
    • Cited by: 12 articles
  5. Title: Innovations in Firefighting Techniques and Equipment
    • Journal: Fire Engineering Innovations
    • Published Year: 2016
    • Cited by: 18 articles

 

Fatemeh Golpayegani | Artificial Intelligence | Best Researcher Award

Dr. Fatemeh Golpayegani | Artificial Intelligence | Best Researcher AwardΒ 

Assistant Professor | University College Dublin | Ireland

πŸ“œ Short Bio:

Fatemeh Golpayegani is currently an Assistant Professor at the School of Computer Science, University College Dublin (UCD), where she contributes significantly to research and academic activities in the field of computer science. Her expertise lies in multi-agent systems, edge computing, and intelligent transport systems.

Profile:

SCOPUS

πŸŽ“ Education:

Fatemeh pursued her academic journey with a strong foundation in computer science:

  • Ph.D. in Computer Science (2013-2018)
    Trinity College Dublin, Dublin, Ireland
    Thesis Title: “Collaboration community formation in open systems for agents with multiple goals.”
    Supervised by Prof. Siobhan Clarke.
  • M.Sc. in Computer (Software) Engineering (2010-2012)
    Sharif University of Technology, Tehran, Iran
    Thesis Title: “Development of a process line engineering approach based on product line engineering methods for engineering agent-oriented methodologies.”
  • B.Sc. Hons in Computer (Software) Engineering (2006-2010)
    Alzahra University, Tehran, Iran

πŸ‘©β€πŸ« Experience:

Fatemeh has held various academic and professional roles:

  • Assistant Professor (Dec 2020 – Present)
    School of Computer Science, UCD, Dublin, Ireland
  • Postdoctoral Researcher (June 2018 – Jan 2019)
    CONNECT, School of Computer Science and Statistics, Trinity College Dublin, Ireland
  • Software Engineer (Sept 2010 – Aug 2013)
    ITOrbit, Tehran, Iran

πŸ” Research Interest:

Her research interests encompass:

Multi-agent Systems, Edge Computing, Intelligent Transport Systems, Agent-based Modeling

πŸ† Award:

Fatemeh Golpayegani is recognized as a member of the Young Academy of Ireland (2023-2027), highlighting her contribution to advancing research and cultural life in Ireland.

πŸ“š Publications:

Fatemeh has contributed significantly to her field with numerous peer-reviewed publications. A selection of her notable works include:

Adaptation in Edge Computing: A review on design principles and research challenges
Published in ACM Transactions on Autonomous and Adaptive Systems, 2024. Cited by: 15

Handling uncertainty in self-adaptive systems: an ontology-based reinforcement learning model
Published in Journal of Reliable Intelligent Environments, 2023. Cited by: 20

Towards the Use of Hypermedia MAS and Microservices for Web Scale Agent-Based Simulation
Published in SN Computer Science, 2022.

Intelligent Shared Mobility Systems: A Survey on Whole System Design Requirements, Challenges and Future Direction
Published in IEEE Access, 2022.

Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-agent Systems
Published in ACM Transactions on Intelligent Systems and Technology (TIST), 2019.

These publications underscore her research breadth and impact in areas such as adaptive systems, shared mobility, and multi-agent collaboration.