Ms. Jingjing Fan | Smart Automation Awards | Best Researcher Award

Ms. Jingjing Fan | Smart Automation Awards | Best Researcher Award

Ms. Jingjing Fan, KUNLUN Digital Technology Co., Ltd. China

Jingjing Fan, a Bachelor of Engineering graduate from Hebei University of Technology in 2011, is currently a Product Manager at Kunlun Digital Technology Co., Ltd. Her expertise lies in the fields of Artificial Intelligence (AI) and the Internet of Things (IoT), with a focus on developing and implementing intelligent IoT platforms for the oil and gas industry. She also specializes in edge intelligence and cloud-edge collaborative technologies, driving innovative solutions that enhance connectivity and efficiency in industrial applications.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Jingjing Fan

Jingjing Fan holds a Bachelor of Engineering from Hebei University of Technology and currently serves as a Product Manager at Kunlun Digital Technology Co., Ltd., affiliated with China National Petroleum Corporation. Her research focuses on high-impact areas in technology, specifically at the intersection of Artificial Intelligence (AI) and the Internet of Things (IoT). Her expertise in integrating AI and IoT in practical applications—such as the Intelligent Internet of Things platform for the oil and gas sector, edge intelligence, and cloud-edge collaborative technology—demonstrates her commitment to advancing technology in complex, real-world environments.

Education

  • Bachelor of Engineering from Hebei University of Technology, 2011.

Work Experience

  • Current Position: Product Manager at Kunlun Digital Technology Co., Ltd.
    • Research Topics:
      • AI and Internet of Things (IoT)
      • Intelligent IoT platform applications in oil and gas
      • Edge intelligence
      • Cloud-edge collaborative technology

Publication top Notes:

AIoT-Based Visual Anomaly Detection in Photovoltaic Sequence Data via Sequence Learning

Prof. Arturo Benayas Ayuso | Smart Automation Awards | Best Researcher Award

Prof. Arturo Benayas Ayuso | Smart Automation Awards | Best Researcher Award 

Prof. Arturo Benayas Ayuso, Universidad Politécnica de Madrid, Spain

Arturo Benayas Ayuso, born in April 1976, is a highly skilled Naval Architect with a Master’s degree from the Universidad Politécnica de Madrid and is currently pursuing a Ph.D. in Naval Architecture. His Ph.D. research focuses on applying IoT to ship design, shipbuilding, manufacturing, and management. Arturo has extensive professional experience in the naval industry, currently serving as Integration Lead for the “El Cano” platform at NAVANTIA, where he oversees the integration of industry 4.0 technologies in naval shipbuilding. He has previously worked as a FORAN-PLM Technical Account Manager and Solution Architect Associate Manager, leading integration projects for the Spanish Navy, including the S80 submarine program. Fluent in Spanish, English, French, and Portuguese, Arturo has contributed to several conferences, authored publications in shipbuilding and IoT, and co-authored a book chapter on IoT cybersecurity.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Arturo Benayas Ayuso

Professional Background: Arturo Benayas Ayuso has extensive experience in naval architecture, ship design, and industry 4.0 technologies. His expertise spans over two decades, with a strong focus on integrating IoT and PLM (Product Lifecycle Management) systems into naval shipbuilding. As the Platform Integration Lead at NAVANTIA and his previous roles, he has successfully led digitization projects, coordinated large development teams, and managed multi-shipyard collaborations with notable defense projects like the Spanish Navy’s S80 submarine and Royal Navy’s CVF project.

Education:

  • MSc Naval Architect – Universidad Politécnica de Madrid, 2005 (Marine motors specialist).
  • PhD (On-going) – Naval Architect PhD Researcher focusing on “IoT applied to Ship Design, Shipbuilding, Manufacturing, and Ship Management.”

Work Experience:

  1. 2020–Present: Accenture – Tecnilógica
    • Position: PLM Associate Manager, Platform Integration Lead (Naval shipbuilding).
    • Responsibilities:
      • Lead the integration of the “El Cano” platform at NAVANTIA, a platform that incorporates Industry 4.0 principles into naval shipbuilding.
      • Manage a fixed team of 7 members and up to 10 floating members.
      • Define and deploy OOTB software solutions, and create custom requirements for the Spanish Navy’s digitization efforts using Siemens CAD-CAM-CAE-PLM systems.
      • Prepare project tenders, including the economic assessments.
      • Apply Agile methodologies to ensure timely project delivery.
  2. 2005–2020: SENER, Ingeniería y Sistemas, S.A. (Naval Systems Section)
    • Position: Solution Architect Associate Manager / FORAN-PLM Technical Account Manager.
    • Responsibilities:
      • Managed and coordinated the integration of FORAN with Windchill and Teamcenter PLM systems.
      • Supervised integration for key naval projects such as the S80 Submarine Program for the Spanish Navy, BAM Naval Project, and collaborations with Aker Offshore Platform and Royal Navy’s CVF Program.
      • Directed development teams and maintained a neutral integration approach between FORAN and PLM platforms.
      • Led the migration of the Spanish S80P submarine to the new FORAN version and integrated Windchill PLM.
  3. 2003–2004: Infomarine & Infopower Magazines (Internship)
    • Responsibilities:
      • Wrote articles and advertisements for magazines.
      • Improved internal databases and created a new database for InfoEnviro magazine.

Publication top Notes:

Internet of Things Cybersecurity: Blockchain as First Securitisation Layer of an IoT Network

Data management for smart ship or how to reduce machine learning cost in IoS applications

Automated/controlled storage for an efficient mbom process in the shipbuilding managing the iot technology

Mrs. Muvvala Kalpana | Automation Award | Best Researcher Award

Mrs. Muvvala Kalpana | Automation Award | Best Researcher Award

Mrs. Muvvala Kalpana, Vignan’s Institute of Information Technology, India

Mrs. Muvvala Kalpana is currently pursuing a Ph.D. in Antennas at Jawaharlal Nehru Technological University, Kakinada (JNTUK), Andhra Pradesh. With a solid foundation in Electronics and Communications Engineering, he holds an M.Tech in Digital Systems and Computer Electronics from Narasaraopet Engineering College and a B.Tech in Electronics and Communications Engineering from L.B.R. College of Engineering. With 16 years of teaching experience, he has served as an Assistant Professor at Vignan’s Institute of Information Technology, Visakhapatnam, and previously held positions at Raghu Institute of Technology, Sri Sarathi Institute of Engineering and Technology, Kakinada Institute of Engineering and Technology, and Lenora College of Engineering. His teaching expertise spans a range of subjects including Control Systems, Digital Communications, and Artificial Intelligence. His research interests focus on communications, antennas, control systems, and digital circuits. He is known for his strong work commitment, eagerness to learn, adaptability, and positive attitude.

Professional Profile:

Summary of Suitability for Best Researcher Award

Kalpana stands as a highly qualified candidate for the Best Researcher Award based on her comprehensive academic background, vast teaching experience, and numerous research contributions, particularly in the field of antenna design and wireless communication.

Education:

  • Pursuing Ph.D. in Antennas at JNTUK, Kakinada, Andhra Pradesh.
  • M.Tech in Digital Systems and Computer Electronics (D.S.C.E) from Narasaraopet Engineering College, affiliated with J.N.T.U, Kakinada, Andhra Pradesh, with an aggregate of 74% (2008).
  • B.Tech in Electronics and Communication Engineering (E.C.E) from L.B.R. College of Engineering, affiliated with J.N.T.U, Hyderabad, Andhra Pradesh, with an aggregate of 56% (2004).

Work Experience:

  • Assistant Professor at Vignan’s Institute of Information Technology, Visakhapatnam (2022 – Present).
  • Associate Professor at Raghu Institute of Technology, Visakhapatnam (2013 – 2018).
  • Assistant Professor at Sri Sarathi Institute of Engineering and Technology, Nuzvid (2007 – 2013).
  • Assistant Professor at Kakinada Institute of Engineering and Technology, Kakinada (2005 – 2006).
  • Assistant Professor at Lenora College of Engineering, Rampachodavaram (2004 – 2005).

Publication top Notes:

CITED: 12
CITED: 4
CITED: 3
CITED: 3
CITED: 3

 

Assoc Prof Dr. Abdullah Salamai | Towards automated | Best Researcher Award

Assoc Prof Dr. Abdullah Salamai | Towards automated | Best Researcher Award

Assoc Prof Dr. Abdullah Salamai, Jazan University, Saudi Arabia

Dr. Abdullah Ali Salamai is an accomplished academic and researcher currently serving as an Associate Professor at Jazan University in Saudi Arabia. With a robust educational background, he obtained his PhD in Risk Management with honors from the University of New South Wales, Australia, following an MBA from Texas A&M University Commerce, USA, and a Bachelor’s degree in Industrial Management from Yanbu Industrial College, Saudi Arabia.Dr. Salamai’s research interests and expertise lie in the fields of risk management, particularly in supply chains, where he has developed an “Intelligent Decision Support System for Risk Management in Supply Chains.” This work has been recognized internationally, including prestigious accolades such as the Certificate of Excellence for Research Production and publication in high-impact journals like Expert Systems With Applications.Throughout his career, Dr. Salamai has held various leadership roles within academia, including Vice Dean for Research and Development and departmental committee memberships. He has contributed significantly to the academic community as a reviewer for esteemed journals such as IEEE Access, Computers, Materials & Continua, and Scientific Reports, among others.

Professional Profile

🏢 Professional Roles:

  • Associate Professor (2024) in the Management Department.
  • Chairman of the Scientific Research Committee (2024).
  • Member of various university committees including Programs and Plans, and Scientific Committees.
  • Vice Dean for Research and Development (2016-2014).
  • Lecturer and Teaching Assistant in the Department of Administrative Sciences.

📚 Education:

  • PhD in Risk Management, University of New South Wales, Australia.
  • Master of Business Administration (MBA), Texas A&M University Commerce, USA.
  • Bachelor Degree in Industrial Management with Honors, Yanbu Industrial College, Saudi Arabia.

📜 Achievements and Awards:

  • Received Certificate of Excellence for Research Production multiple times.
  • Published in journals like Expert Systems With Applications (Q1, Impact Factor 8.65).
  • Recognized for academic excellence and research quality by the Saudi Cultural Mission in Australia.
  • Received awards for contributions to Jazan Community College accreditation.

🔍 Research and Professional Activities:

  • Reviewer for prestigious journals including IEEE Access, Computers, Materials & Continua, and Journal of Big Data.
  • Involved in research funding projects such as Trustworthy Artificial Intelligence for Sustainable Agriculture Development in Saudi Arabia.

👨‍💼 Work Experience:

  • Previous roles at Saudi Arabian Monetary Agency (SAMA) and Saudi Binladin Operation and Maintenance Company.

🌍 Dr. Salamai’s work spans academia, research, and administration, contributing significantly to the fields of risk management, decision support systems, and sustainable agriculture development.

This biography highlights Dr. Salamai’s extensive academic journey, research contributions, and his commitment to enhancing educational standards and research quality in his field.

 

Publications Notes:📄

Towards automated, efficient, and interpretable diagnosis coffee leaf disease: A dual-path visual transformer network

Evaluation Challenges of Leadership Management in the Energy Sector using Multi-Criteria Decision Making Approach

An approach based on decision-making algorithms for qos-aware iot services composition

Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets

Enhancing mango disease diagnosis through eco-informatics: A deep learning approach