Fangyu Wu – Artificial Intelligence – Best Researcher Award

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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

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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)

Pramod Patil – Deep Learning and Smart Grid – Best Researcher Award

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Pramod Patil - Deep Learning and Smart Grid - Best Researcher Award

Dr.D.Y.Patil Institute of Technology - India

AUTHOR PROFILE

Google Scholar

ACADEMIC EXCELLENCE AND PROFESSIONAL JOURNEY 🎓

Pramod Patil's academic odyssey commenced with a Bachelor's degree in Computer Science and Engineering from S.G.G.S. College of Engineering and Technology, Nanded, followed by a Master's and Ph.D. in Computer Engineering from Govt. College of Engineering, Pune. Since November 2001, he has been an integral part of Dr.D.Y.Patil Institute of Technology, Pune, where he has held various academic positions, culminating in his current role as Professor.

EXEMPLARY ADMINISTRATIVE ROLES AND LEADERSHIP 🏢

Throughout his tenure, Patil has demonstrated exemplary leadership and administrative acumen. From serving as Dean and Principal to holding pivotal roles such as Vice Principal and Head of Department, his leadership has been instrumental in shaping the academic and administrative landscape of his institution.

COMMITMENT TO ACADEMIC ACCREDITATION AND ASSESSMENT 📚

Patil's commitment to academic quality and accreditation is evidenced through his involvement in various accreditation processes at both the institute and university levels. His expertise in accreditation, coupled with his roles as a member of inquiry committees and subject expert, underscores his dedication to upholding academic standards and fostering institutional growth.

PROFESSIONAL ENGAGEMENT AND MEMBERSHIPS 🔬

As a lifelong learner and academic stalwart, Patil is actively engaged in professional societies such as the Indian Society for Technical Education (ISTE), Computer Society of India (CSI), and Association of Computing Machinery (ACM). His membership and contributions to these esteemed organizations reflect his commitment to advancing the field of computer engineering.

RECOGNITION AND AWARDS 🏆

Patil's contributions to academia have garnered widespread recognition and acclaim. From receiving Best Paper Awards to being appointed as Dean of the Faculty of Science and Technology at Savitribai Phule Pune University, his accolades underscore his scholarly prowess and leadership excellence.

INSPIRING FUTURE GENERATIONS AND MENTORSHIP 🌱

As a mentor and guide, Patil has played a pivotal role in shaping the careers of numerous students and researchers. His dedication to nurturing talent and fostering academic excellence has left an indelible mark on the academic community, inspiring generations of scholars to pursue their academic and professional aspirations.

INNOVATIVE RESEARCH ENDEAVORS AND CONTRIBUTIONS 🚀

Patil's research endeavors have spanned diverse domains such as machine learning, data security, blockchain, and smart grid technology. His prolific publication record, patent contributions, and research projects highlight his commitment to advancing knowledge and addressing real-world challenges through innovative research methodologies.

NOTABLE PUBLICATION

Skewed Evolving Data Streams Classification with Actionable Knowledge Extraction using Data Approximation and Adaptive Classification Framework 2023 (7)

Context-aware clustering and the optimized whale optimization algorithm: An effective predictive model for the smart grid 2023 (9)

Blockchain-based security services for fog computing 2021 (16)

EFFECT OF EARLY FUNCTIONAL MOBILITY ON FUNCTIONAL INDEPENDENCE IN INCOMPLETE PARAPLEGIC INDIVIDUALS. 2022 (3)

Chandran – COMPUTER SCIENCE – Excellence in Research

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Chandran - COMPUTER SCIENCE - Excellence in Research

AYYA NADAR JANAKI AMMAL COLLEGE - India

AUTHOR PROFILE

Google Scholar
Scopus

ACADEMIC LEADERSHIP AND TENURE 🌟

Chandran's illustrious career at Ayya Nadar Janaki Ammal College began in 1996 as a Lecturer, steadily progressing through various roles including Lecturer - Senior Scale, Assistant Professor - Selection Grade, and ultimately, as Associate Professor. His leadership acumen was further evidenced during his tenure as the Head of the institution from 2009 to 2012, where he played a pivotal role in shaping the academic landscape and fostering a culture of excellence.

EXEMPLARY CONTRIBUTIONS TO EDUCATION 📚

Throughout his tenure, Chandran has been instrumental in driving educational initiatives and academic reforms. His involvement as a Member in the Board of Studies PG at Madurai Kamaraj University and his role as a Research Guide in Computer Guide underscore his commitment to enhancing the quality of education and research in the field of computer science.

ACADEMIC RECOGNITION AND PROFESSIONAL ENGAGEMENT 🏅

Chandran's expertise and scholarly contributions have earned him numerous accolades and recognition, including his role as a Reviewer for prestigious conferences and journals such as the International ASCIS Conference and Inderscience. Additionally, his engagements as a PhD External Examiner and as a member of doctoral committees highlight his stature as a respected authority in his field.

PIONEERING RESEARCH ENDEAVORS 🚀

At the forefront of research, Chandran's work on "Computational System Design and Analysis of Macromolecular DNA Nanotechnology using Data Mining, Granular Computing, and Swarm Intelligence" represents a pioneering effort in the intersection of computer science and nanotechnology. His multidisciplinary approach underscores his commitment to pushing the boundaries of knowledge and innovation.

COMMITMENT TO PROFESSIONAL DEVELOPMENT AND SERVICE 💼

Chandran's dedication to professional development and service is evident through his participation as a resource person in refresher courses and his role as the Staff Club Secretary at Ayya Nadar Janaki Ammal College. His engagement in various professional development programs and service roles reflects his commitment to the holistic development of the academic community.

INSPIRING THE NEXT GENERATION OF SCHOLARS 🌱

As a mentor and educator, Chandran has played a pivotal role in nurturing the next generation of scholars and researchers. His guidance and mentorship have empowered countless students to pursue their academic and professional aspirations, leaving an enduring legacy in the annals of academia.

SHAPING THE FUTURE OF COMPUTER SCIENCE EDUCATION 🌐

In summary, C P Chandran's contributions to academia, research, and education have left an indelible mark on the field of computer science. His visionary leadership, pioneering research endeavors, and unwavering commitment to excellence continue to shape the future of computer science education, inspiring generations of scholars to push the boundaries of knowledge and innovation.

NOTABLE PUBLICATON

IoT Based ECG to Grayscale Representation for the Prediction of Artery Deposition 2023

Deep Learning Approaches for Liver Tumor Segmentation 2023

Feature selection for mining SNP from Leukaemia cancer using Genetic Algorithm with BCO 2016 (7)

Classification algorithm for Gene Expression Graph and Manhattan Distance 2017 (3)

Lili Nurliyana Abdullah – computer technology – Best Researcher Award

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Lili Nurliyana Abdullah - computer technology - Best Researcher Award

UPM - Malaysia

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Lili Nurliyana Abdullah's academic journey began with a Diploma in Computer Science from Universiti Pertanian Malaysia in 1990. She went on to earn a Bachelor's degree in Computer Science from Universiti Putra Malaysia in 1992, graduating with a 2nd Class Upper division. Her pursuit of higher education continued in the UK, where she obtained a Master in Engineering with a specialization in Telematics from the University of Sheffield in 1996. Lili's academic endeavors culminated in a Ph.D. in Information Science from the National University of Malaysia in 2007.

PROFESSIONAL ENDEAVORS

Lili's professional career spans various prestigious roles and institutions. She started as a tutor in Computer Science at UPM in 1993 and progressed to become a lecturer and then an Associate Professor in the Multimedia Department. She also served as the Head of the Multimedia Department at UPM from 2009 to 2012. Beyond academia, she worked as a Project Consultant at Catapult Studios and held teaching attachments and training roles at several universities, including Univ Taibah in Saudi Arabia and L.N. Gumilyov Eurasian National University in Kazakhstan.

CONTRIBUTIONS AND RESEARCH FOCUS

Lili Nurliyana Abdullah's research primarily focuses on computer technology and its applications. Her expertise in multimedia, digital content, and green computing has led to significant contributions in these fields. She has been actively involved in curriculum design, project consultancy, and professional development training, particularly in the areas of multimedia and STEM. Lili's dedication to green computing is evident through her certifications and her role in the Malaysian Communications and Multimedia Commission's Green IT initiatives.

IMPACT AND INFLUENCE

Lili's work has had a profound impact on both academic and professional communities. She has been recognized with numerous awards, including the Lifetime Achievement Award from the International Scientist Awards on Engineering, Science, and Medicine in 2022, and the Outstanding Educator Award from Lattice Science Publication in 2021. Her contributions to computer technology and green computing have influenced policy making, curriculum development, and environmental sustainability in IT practices.

ACADEMIC CITES

Lili's scholarly work is highly regarded, with numerous citations reflecting her influence in the academic community. Her research has been widely published and cited, contributing significantly to the fields of computer technology, green computing, and multimedia applications. She has also served as a peer reviewer and editorial board member for several esteemed journals and conferences, further establishing her reputation as a leading expert in her field.

LEGACY AND FUTURE CONTRIBUTIONS

Lili Nurliyana Abdullah's legacy lies in her pioneering contributions to computer technology and green computing. Her work has laid the foundation for future research and development in sustainable IT practices and multimedia technology. As she continues to innovate and collaborate, Lili's future contributions are expected to further advance these fields, fostering a more sustainable and technologically advanced society.

COMPUTER TECHNOLOGY

Throughout her career, Lili Nurliyana Abdullah has focused on advancing computer technology through her research, teaching, and professional endeavors. Her work on digital content and multimedia applications has enhanced the educational landscape, while her commitment to green computing has promoted sustainable IT practices. Lili's dedication to computer technology is reflected in her extensive professional engagements, certifications, and contributions to policy making and curriculum development in the field. As a recognized leader in computer technology, she continues to inspire and influence future generations of researchers and practitioners.

NOTABLE PUBLICATION

Students’ satisfaction levels of an immersive extended reality for engine assembly tasks in engineering empirical education 2023

Deep learning mango fruits recognition based on tensorflow lite 2023

Playing Gamelan Bonang in the Air: User Requirements for Designing a Digital Musical Instrument for the Malay Bonang 2022 (3)

Comparison of Edge Detection Algorithms for Texture Analysis on Copy-Move Forgery Detection Images 2022 (2)