Fangyu Wu – Artificial Intelligence – Best Researcher Award

Fangyu Wu - Artificial Intelligence - Best Researcher Award

AUTHOR PROFILE

SCOPUS

ACADEMIC AND PROFESSIONAL BACKGROUND

Fangyu Wu is a distinguished researcher and academic in the field of computer science, specializing in deep learning, multi-modal learning, and intelligent data analysis. He is currently an Associate Professor at Xi’an Jiaotong-Liverpool University (XJTLU) in China, where he supervises PhD and Master's students focusing on innovative research topics such as multi-modal learning and deep learning for computer vision. His previous role included co-supervising PhD students at Zhejiang University, contributing to advancements in facial recognition and image-text retrieval.

HONORS AND AWARDS

Dr. Wu's achievements have been recognized through several prestigious awards. He was named a Suzhou Youth Innovation Leading Talent in 2023 and won first prize at the 7th China Innovation Challenge for his project on intelligent tracking systems using infrared thermal imaging. Additionally, he received the Lotfi Zadeh Best Paper Award at ICMLC&ICWAPR 2017 and has been honored with the Outstanding Graduates award from Xi’an Jiaotong-Liverpool University and National Encouragement Scholarships from China.

RESEARCH PROJECTS

Fangyu Wu leads several high-impact research projects. These include “Intelligent Multimodal Data Analysis for Digital Twin Cities” under the Gusu Innovation and Entrepreneurship Leading Talents Programme, and “Relational Modeling and Reasoning for Reliable Cross-Modal Retrieval” funded by the Zhejiang Natural Science Foundation. His projects also cover advanced topics such as distributed AI platforms for Metaverse scenarios and optimization software for injection molding processes.

PUBLICATIONS

Dr. Wu has an extensive list of publications in top-tier conferences and journals. Notable works include papers on fine-grained image-text matching, relation-aware prototype networks, and pose-robust face recognition. His research has been featured at prestigious conferences such as CVPR, ECCV, and ICPR, showcasing his contributions to advancements in deep learning and computer vision.

CONFERENCE ORGANIZATION

In addition to his research, Fangyu Wu plays a vital role in organizing academic conferences. He served as the Publication Chair for the IEEE 17th International Conference on Computer Science & Education (ICCSE 2022) and as General Co-Chair for the 5th International Symposium on Emerging Technologies for Education (SETE 2020). His involvement ensures the smooth execution of these events and contributes to the dissemination of cutting-edge research.

STUDENT SUPERVISION

Fangyu Wu is actively engaged in supervising students at both the PhD and Master’s levels. He currently supervises a PhD student at XJTLU focusing on multi-modal learning and has previously co-supervised a PhD student at Zhejiang University on deep learning for computer vision. His mentorship extends to six Master’s students at XJTLU and three at Zhejiang University, covering areas such as facial recognition and image-text retrieval.

COMPETITIONS AND RECOGNITION

Dr. Wu has achieved notable success in various competitions. His project on human motion recognition based on deep neural networks won third prize at the China First Smart Manufacturing and Big Data Innovation Competition. Additionally, his participation in competitions has been marked by significant awards, including the first prize in the China Innovation Challenge for his intelligent tracking system.

NOTABLE PUBLICATION

  • Fine-grained Image-text Matching by Cross-modal Hard Aligning Network
    • Authors: Pan, Z., Wu, F., Zhang, B.
    • Year: 2023
    • Conference: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)
    • Pages: 19275–19284
  • Knowledge-embedded Prompt Learning for Zero-shot Social Media Text Classification
    • Authors: Li, J., Chen, Q., Wang, W., Wu, F.
    • Year: 2023
    • Conference: IEEE International Conference on Smart Computing (SMARTCOMP)
    • Pages: 222–224
  • Kernel Triplet Loss for Image-Text Retrieval
    • Authors: Pan, Z., Wu, F., Zhang, B.
    • Year: 2022
    • Conference: Computer Animation and Virtual Worlds
    • Article: e2093
  • FaceCaps for Facial Expression Recognition
    • Authors: Wu, F., Pang, C., Zhang, B.
    • Year: 2021
    • Conference: Computer Animation and Virtual Worlds
    • Article: e2021

BASEM A. ALKHALEEL – Machine learning – Best Paper Award

BASEM A. ALKHALEEL - Machine learning - Best Paper Award

King Saud University - Saudi Arabia

PROFESSIONAL SUMMARY

Basem A. Alkhaleel is a dedicated Assistant Professor in Industrial Engineering with a distinguished record of academic excellence and practical expertise in process reengineering and business continuity. Combining his extensive background in teaching, research, project management, and consulting, he brings a unique perspective to both academia and industry. With skills in leading cross-functional teams, analyzing complex systems, and implementing innovative solutions, he excels in driving process optimization, operational efficiency, and organizational resilience.

EDUCATION

Basem A. Alkhaleel holds a Ph.D. in Industrial Engineering from the University of Arkansas (2021), an MSc in Industrial and Systems Engineering from Texas A&M University (2015), and a BSc in Industrial Engineering from King Saud University (2012).

ACADEMIC AND RESEARCH EXPERIENCE

As an Assistant Professor at King Saud University since September 2021, Basem A. Alkhaleel has been involved in directing the counseling unit for undergraduate engineering students, participating in various departmental committees, and supervising numerous undergraduate student graduation projects. His research focuses on machine learning applications in critical infrastructure resilience, reliability engineering, and business continuity.

PROFESSIONAL EXPERIENCE

In addition to his academic roles, Basem A. Alkhaleel is a Management Consultant at ES Consulting in Riyadh, Saudi Arabia, where he develops and implements process improvement strategies and business continuity plans. He has also served as a Project Manager at the Arkansas Department of Transportation, leading the development and implementation of a decision support system for multi-modal transportation operations.

PROJECT MANAGEMENT AND CONSULTING

Basem A. Alkhaleel has managed several high-profile projects, including process documentation and modeling for the Ministry of Municipal and Rural Affairs and Housing and the Advanced Electronics Company. His work involves process modeling, documentation, digitalization, and KPI alignment to improve operational and strategic efficiencies.

RESEARCH AND INNOVATION

During his Ph.D. research at the University of Arkansas, Basem A. Alkhaleel developed resilience-based restoration models for disrupted critical infrastructures and combined risk mitigation with resilience restoration and simulation modeling. His MSc research at Texas A&M University focused on data-driven approaches to improve decision-making processes in engineering projects.

TEACHING AND MENTORING

With a strong commitment to education, Basem A. Alkhaleel has lectured on various industrial engineering subjects, including manufacturing processes and reliability engineering, at King Saud University. His teaching philosophy emphasizes innovative strategies to enhance student performance and academic success.

STRATEGIC PLANNING AND DEVELOPMENT

Earlier in his career, Basem A. Alkhaleel worked as a Strategic Planner at Ma’aden Company, developing long-term strategic plans and applying business development tools to identify areas of improvement. His strategic insights and communication skills have been instrumental in achieving organizational objectives and driving continuous improvement initiatives.

NOTABLE PUBLICATIONS

Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty 2022 (44)

Hybrid simulation to support interdependence modeling of a multimodal transportation network 2021 (19)

Machine learning applications in the resilience of interdependent critical infrastructure systems—A systematic literature review 2023 (8)

Model and solution method for mean-risk cost-based post-disruption restoration of interdependent critical infrastructure networks 2022 (10)

Sabir Ali Changaz – Ambient Intelligence – Best Researcher Award

Sabir Ali Changaz - Ambient Intelligence - Best Researcher Award

Riphah Institute of System Engineering - Pakistan

AUTHOR PROFILE

Google Scholar

CURRENT ROLE AS DEPUTY CISO AT HQ NADRA PAKISTAN 🔒

Sabir Ali Changazi is currently serving as the Deputy Chief Information Security Officer (CISO) at HQ NADRA Pakistan. In this role, he strategizes security policies and procedures, oversees disaster recovery and business continuity planning, and supervises the Security Operations Center (SOC) platform. His leadership extends to managing the Cyber Threat Intelligence (CTI) efforts, Governance, Risk, and Compliance (GRC), and Vulnerability Assessment and Penetration Testing (VAPT) teams, ensuring robust data security and incident documentation.

SENIOR IT MANAGER AT DEFENSE DATA CENTRE 🖥️

From August 2020 to August 2024, Sabir was the Senior IT Manager at the Defense Data Centre, where he provided technical supervision for system engineers managing data center devices, storage, and networking equipment, including Cisco and Juniper products. He also served as an IT advisor, implementing IT and cybersecurity measures, showcasing his expertise in technical supervision and strategic IT management.

EXCEPTIONAL ACHIEVEMENTS 🏆

Sabir's career is highlighted by several prestigious achievements. He secured 1st position in a foreign IT course in the USA, earning the Dexter Award for distinction at the US Cyber Centre of Excellence, Fort Gordon, Georgia. Additionally, he ranked 2nd in the BISE Bannu during the FSc Annual Examination and received the Presidential Award from the Government of Pakistan for top performance in the HSSC Examination from the Gilgit-Baltistan region.

SENIOR INFO SECURITY ENGINEER AT IT DIRECTORATE 🔐

Between April 2017 and July 2020, Sabir served as the Senior Info Security Engineer and Team Lead at the IT Directorate. His responsibilities included operating the Security Information and Event Management (SIEM) system, managing the Security Operations Center (SOC), detecting and mitigating threats, and handling incident management and response, thereby strengthening the organization's cybersecurity posture.

TEAM LEAD AT DEFENSE DATA CENTRE: NETWORKS & INFO SECURITY 🛡️

From June 2014 to March 2017, Sabir was the Senior Network and Info Security Engineer and Team Lead at the Defense Data Centre. He managed and supervised technical resources for data center devices, storage, and networking equipment, focusing on routine operations and maintenance. His expertise with Cisco and Juniper technologies ensured the seamless operation and security of the data center infrastructure.

PROFESSIONAL SKILLS AND LEADERSHIP 💼

Sabir is known for his effective organizational skills, in-depth knowledge of networking technologies, and commitment to driving organizational success. His experience in IT project management, motivation, and guidance for both colleagues and clients has established him as a leader in his field, capable of tackling complex cybersecurity challenges and leading technical teams to success.

VISION FOR THE FUTURE 🚀

With a career marked by excellence in cybersecurity and network engineering, Sabir Ali Changazi is poised to continue making significant contributions to the field. His dedication to innovation, security, and leadership drives his ongoing efforts to enhance organizational resilience and protect critical information infrastructures.

NOTABLE PUBLICATION

GA-based geometrically optimized topology robustness to improve ambient intelligence for future internet of things 2022 (15)

A GIS Architecture for Medical Disaster Management to Support Modern Healthcare Management System 2022 (2)

CARE: an efficient modelling for topology robustness of an IoT based healthcare network using Go-GA 2023 (1)

Optimization of network topology robustness in IoTs: A systematic review 2024

Military operations: Wireless sensor networks based applications to reinforce future battlefield command system 2020 (47)