Tingru Cui – Information Systems – Best Researcher Award

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Tingru Cui - Information Systems - Best Researcher Award

University of Melbourne - Australia

AUTHOR PROFILE

Scopus

ACADEMIC JOURNEY AND RESEARCH FOCUS 📚

Cui's academic journey began with a Doctor of Philosophy in Information Systems from the National University of Singapore, followed by a Bachelor of Science in Information Management and Information Systems from Wuhan University of Technology, China. Her research interests lie in Human-AI Collaboration, Digital Health, Digital Innovation, and Fair and Responsible AI, reflecting a commitment to addressing contemporary challenges in healthcare through technological advancements.

EXEMPLARY TEACHING AND MENTORSHIP 🎓

Throughout her tenure as a lecturer and senior lecturer at the University of Wollongong, Cui demonstrated an unwavering commitment to excellence in teaching and mentorship. Her contributions were recognized with prestigious awards, including the Vice-Chancellor's Awards for Outstanding Contributions to Teaching and Learning. Cui's dedication to nurturing the next generation of information systems professionals is evidenced by her role as the Master of Information Technology Program Director and her supervision of numerous Ph.D. students who have gone on to make significant contributions to the field.

LEADING EDITORIAL AND TRACK CHAIR ROLES 📝

Cui's influence extends beyond academia through her editorial roles and contributions to scholarly conferences. As an Associate Editor for prominent journals such as Information & Management and the Journal of Global Information Management, and as a Track Chair for conferences like ACIS and PACIS, she plays a pivotal role in shaping the discourse surrounding information systems research.

DRIVING INNOVATION THROUGH RESEARCH GRANTS 💡

Cui's research prowess is further underscored by her success in securing competitive research grants, totaling over AUD$750,000. These grants have enabled her to lead and contribute to impactful research projects, such as investigating trust calibration for human-AI collaboration, exploring the mechanism of mobile AR/VR technology on consumer behavior, and developing smart micro-learning solutions through open education resources.

IMPACTFUL COLLABORATIONS AND PARTNERSHIPS 🤝

Cui's collaborative spirit and interdisciplinary approach have facilitated partnerships with various organizations and institutions, including the Australian Research Council, National Natural Science Foundation of China, Liverpool City Council, and Illawarra Health and Medical Research Institute. These collaborations have resulted in innovative research initiatives aimed at addressing real-world challenges in healthcare and education.

PIONEERING EDUCATIONAL INNOVATIONS 🚀

In addition to her research endeavors, Cui has spearheaded educational innovations, leading initiatives to develop adaptive and effective online courses for mobile and team learners. Her efforts in advancing cloud-based mobile learning and massive open online courses reflect a commitment to leveraging technology to enhance the accessibility and effectiveness of education on a global scale.

SHAPING THE FUTURE OF DIGITAL HEALTH AND INFORMATION SYSTEMS 🌱

As an innovator, educator, and researcher, Tingru Cui continues to make significant contributions to the fields of digital health and information systems. Through her pioneering research, exemplary teaching, and collaborative partnerships, she is shaping the future of healthcare delivery and technological innovation, ensuring a brighter and more equitable future for all.

NOTABLE PUBLICATION

Information technology in open innovation: A resource orchestration perspective 2022 (16)

A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction 2023 (14)

Value co-creation for digital innovation: An interorganizational boundary-spanning perspective 2023 (3)

Impact of the COVID-19 pandemic on daily travel: Findings from New South Wales, Australia 2024

 

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)

Chang Su – Computer application – Best Researcher Award

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Chang Su - Computer application - Best Researcher Award

Ocean University of China - China 

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Chang Su's academic journey began at the Department of Information Science and Engineering at Ocean University of China. He showed promise from an early age, demonstrating a keen interest in computer applications. His pursuit of knowledge in this field laid the foundation for his future endeavors in academia and professional practice.

PROFESSIONAL ENDEAVORS

In his professional journey, Chang Su has showcased significant expertise in computer applications. His involvement in the National Key R&D Program of China, collaborating with South China Aero Engine Factory 331, exemplifies his commitment to advancing intelligent manufacturing technologies. This experience has not only enriched his skill set but has also provided valuable insights into real-world applications of computer science.

CONTRIBUTIONS AND RESEARCH FOCUS

Chang Su's research focus lies in intelligent manufacturing, a critical area within computer applications. His contributions to the National Key R&D Program of China, particularly in the manufacturing of aircraft engine casings and blades, highlight his dedication to advancing the field. His research endeavors aim to leverage computer applications to enhance efficiency and innovation in manufacturing processes.

IMPACT AND INFLUENCE

Chang Su's participation in conferences like the IEICE conference and the HCII 2020 underscores his growing influence in the academic community. By publishing manuscripts in reputable venues, he has contributed to the dissemination of knowledge and fostered collaboration among researchers in the field of computer applications.

ACADEMIC CITES

Chang Su's research publications and contributions to prestigious conferences have garnered academic attention and citations. His work serves as a testament to his expertise and scholarly contributions in the domain of computer applications, further solidifying his reputation as a promising researcher in the field.

LEGACY AND FUTURE CONTRIBUTIONS

As Chang Su continues his journey toward obtaining a Ph.D. in Computer Applications, his legacy lies in his dedication to advancing intelligent manufacturing technologies. Through his research, he aims to make significant contributions to the field, shaping the future of computer applications and its impact on various industries. His work will pave the way for continued innovation and progress in the realm of intelligent manufacturing.

NOTABLE PUBLICATION

Zinc-mineralized diatom biosilica/hydroxybutyl chitosan composite hydrogel for diabetic chronic wound healing 2024 (1)

The hierarchical porous structures of diatom biosilica-based hemostat: From selective adsorption to rapid hemostasis 2023 (7)

Diatom-Inspired Bionic Hydrophilic Polysaccharide Adhesive for Rapid Sealing Hemostasis 2023 (4)

PEG-mediated hybrid hemostatic gauze with in-situ growth and tightly-bound mesoporous silicon 2022 (4)

 

Salim Chehida – Smart grid security – Best Researcher Award

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Salim Chehida - Smart grid security - Best Researcher Award

VERIMAG - Université Grenoble alpes - France

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Salim Chehida's academic journey commenced with an Engineer Degree in Computer Science from the University of Mostaganem, Algeria. He furthered his studies with a Magister Degree in Information Systems Engineering and eventually pursued a Ph.D. in Computer Science specializing in Software Engineering and Systems Security from the University of Oran 1 in Algeria in collaboration with the University of Grenoble Alpes in France.

PROFESSIONAL ENDEAVORS

Dr. Salim Chehida has had a diverse professional career, starting as a Software Engineer at the Finance Direction in Algeria and later transitioning to roles as a Scientific Researcher and Assistant Professor at the University of Mostaganem, Algeria. Currently, he serves as a Research and Development Expert at the University of Grenoble Alpes in France, contributing significantly to the fields of Software Engineering and Deep Learning.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Chehida's expertise lies in Software Engineering, particularly in the design, development, security, verification, and validation of software systems. He has made notable contributions to various innovative projects, including those related to cyber-physical systems (CPS) and Internet of Things (IoT) systems. His research focuses on deep learning applications, including image classification, segmentation, and object detection, as well as smart grid security.

IMPACT AND INFLUENCE

Dr. Chehida's research and development work have had a significant impact on academia and industry, particularly in the domains of software engineering and deep learning. His involvement in numerous projects, collaborations with companies and institutions worldwide, and contributions to conferences and publications have established him as a respected expert in his field.

ACADEMIC CITES

Dr. Chehida's publications and technical reports have been widely cited, reflecting the importance and relevance of his research contributions. His work in smart grid security and deep learning applications has garnered attention from researchers and professionals in academia, industry, and government organizations.

LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Chehida continues to advance his research and development endeavors, his legacy in the fields of software engineering and deep learning is assured. His future contributions are expected to further enhance our understanding and application of smart grid security measures and deep learning techniques, addressing critical challenges in cybersecurity and artificial intelligence for years to come.

NOTABLE PUBLICATION

Model-based Self-adaptive Management in a Smart Grid Substation 2023 (2)

Generation and verification of learned stochastic automata using k-NN and statistical model checking 2022 (1)

Learning and analysis of sensors behavior in IoT systems using statistical model checking 2022 (5)

BRAIN-IoT Architecture and Platform for Building IoT Systems 2022 (2)

Sareer Ul Amin – Computer Science and Engineering – Excellence in Research

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Sareer Ul Amin - Computer Science and Engineering - Excellence in Research

Chung Ang University - South Korea

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Sareer Ul Amin embarked on his academic journey at Islamia College Peshawar (ICP), Pakistan, where he pursued a Bachelor of Science in Computer Science, graduating with distinction. His academic excellence continued as he pursued a Master's degree at Chung-Ang University (CAU) in Seoul, Republic of Korea, achieving an outstanding CGPA of 4.18/4.5.

PROFESSIONAL ENDEAVORS

Sareer Ul Amin's professional journey is marked by significant contributions to the field of Computer Science and Engineering. He served as a Research Assistant at the Graphics Realization Lab, CAU, contributing to various industrial and research projects. Prior to this, he held the role of Lab Coordinator at the Digital Image Processing Lab, ICP, where he effectively managed projects and mentored students.

CONTRIBUTIONS AND RESEARCH FOCUS

Sareer Ul Amin's research focus lies in AI & Computer Vision, with a specialization in Advanced Machine Learning, Deep Learning, and Anomaly Detection in Surveillance Video. His research contributions include the development of efficient strategies for anomaly detection, active learning techniques for data annotation, and robust hand gesture recognition systems. His work has been published in esteemed journals and conferences, showcasing his expertise in the field.

IMPACT AND INFLUENCE

Sareer Ul Amin's research findings have had a significant impact on the field of Computer Science and Engineering, particularly in the areas of anomaly detection, image analysis, and machine learning. His publications have garnered citations and recognition, highlighting the relevance and influence of his research contributions in academia and industry.

ACADEMIC CITES

Sareer Ul Amin's research publications have been well-received in the academic community, with his work cited in reputable journals and conferences. His contributions to the development of efficient deep learning models and active learning techniques have advanced the state-of-the-art in computer vision and machine learning.

LEGACY AND FUTURE CONTRIBUTIONS

Sareer Ul Amin's legacy in the field of Computer Science and Engineering is characterized by his dedication to research excellence and innovation. His future contributions are poised to further advance the frontier of AI and Computer Vision, with a focus on addressing complex challenges and developing practical solutions for real-world applications.

NOTABLE PUBLICATION

An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network.  2023 (6)

Harnessing synthetic data for enhanced detection of Pine Wilt Disease: An image classification approach.  2024