Antonio Di Stefano | Mathematical Economics | Best Researcher Award

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Prof. Dr. Antonio Di Stefano | Mathematical Economics | Best Researcher Award

Full Prof. Pharmaceutical Thecnology and Pharmacoeconomics at University of Chieti-Pescara, Italy

Prof. Dr. Antonio Di Stefano 🎓, a Full Professor at the University of “G. d’Annunzio” Chieti-Pescara 🇮🇹, is a pioneering force in pharmaceutical technology, socioeconomics, and legislation. With dual degrees in Chemistry and Pharmaceutical Technology and Pharmacy, and a Ph.D. in Medicinal Chemistry 🧪, he has led groundbreaking research on dopaminergic and serotoninergic ligands, prodrugs for Parkinson’s and Alzheimer’s diseases 🧠, and advanced nanocarrier drug delivery systems 🚀. His work targets bacterial biofilms and antibiotic resistance through innovative nanoformulations. Author of over 140 high-impact publications, patents, and international presentations 📚🌍, he also serves as CEO of the spin-off “Algo Biotechnologies,” merging academic insight with industrial application 💼🔬. Prof. Di Stefano’s research is both transformative and translational, earning him global recognition and making him an ideal candidate for the Best Researcher Award 🏆. His visionary contributions continue to reshape pharmaceutical frontiers and inspire future innovations.

Professional Profile 

Scopus Profile
ORCID Profile

🎓 Education

Prof. Dr. Antonio Di Stefano holds an exceptional academic foundation rooted in pharmaceutical sciences. He earned his degree in Chemistry and Pharmaceutical Technology (CTF) in 1989 and later completed a Pharmacy degree in 1995 from the University of Camerino 🇮🇹. In 1994, he was awarded a Ph.D. in Medicinal Chemistry, equipping him with deep scientific expertise in drug synthesis and molecular design 🔬. His doctoral studies were pivotal, focusing on novel dopaminergic ligands, paving the way for his future contributions in neuromedicine. The rich blend of chemical, biological, and therapeutic knowledge he acquired during these formative years forms the backbone of his scientific precision and innovation 📘. His education is marked not only by credentials but by an immersive dedication to the evolving complexity of pharmaceutical innovation, making him a robust academic cornerstone and a lifelong scholar of molecular therapeutics.

💼 Professional Experience

Prof. Di Stefano’s illustrious career spans over three decades, marked by academic, research, and entrepreneurial accomplishments. He began as a supervisor in analytical labs for a food company before transitioning into academia through a C.N.R. research fellowship and a postdoctoral position focusing on dopaminergic ligand synthesis 🧪. In 1996, he was appointed Assistant Professor at the University of Chieti-Pescara, steadily rising to Associate Professor in 2003, and achieving Full Professorship in 2011 🎓. His role bridges teaching, research, and leadership within the Department of Pharmacy. He is also the CEO of Algo Biotechnologies, a university spin-off transforming research insights into commercial biotech solutions 🚀. His trajectory showcases a seamless integration of scientific exploration and innovation, industry engagement, and educational mentorship. This robust professional palette amplifies his influence across the pharmaceutical, biomedical, and academic ecosystems, creating a legacy of transformative learning and discovery.

🔬 Research Interest

Prof. Di Stefano’s research focuses on neurodegenerative disease therapies, particularly Parkinson’s and Alzheimer’s, with groundbreaking efforts in prodrug design and nanocarrier systems 🌐. He delves into advanced pharmaceutical formulations such as solid lipid nanoparticles, polymeric delivery systems, and clay-based nanocomposites for targeted therapy and enhanced brain bioavailability 🧠. His interdisciplinary studies also address antimicrobial resistance, utilizing biofilm-disrupting agents and codrug strategies to combat pathogenic bacteria 🦠. By integrating synthetic chemistry with biotechnology, his innovations have led to novel serotonergic ligands and multifunctional drug conjugates. He’s also at the frontier of developing algorithm-driven pharmaceutical selection through his spin-off, pushing the boundaries of digital health and precision medicine 🤖📊. With over 140 publications, his dynamic and translational research portfolio stands at the intersection of chemistry, biology, and pharmacology, continuously propelling forward the future of therapeutic development and patient-centric drug design.

🏅 Awards and Honors

Prof. Di Stefano’s impactful scholarship and translational contributions have earned him widespread recognition 🌟. Although specific named awards are not listed, his status as a Full Professor and CEO of a biotech spin-off reflects a highly esteemed professional reputation in academia and industry alike. His invitation to contribute to major journals, books, and international conferences testifies to his global stature and thought leadership 📚🌍. He has been entrusted with directing cutting-edge pharmaceutical research, mentoring young scientists, and leading interdisciplinary collaborations—hallmarks of professional distinction and peer respect 🧑‍🏫. The sustained excellence in his publication record and his role in impactful biotechnological innovations signal an individual whose work is not only academically rigorous but socially and therapeutically consequential. These continuous accolades and responsibilities strongly position him as an influential figure worthy of high honors, including the Best Researcher Award 🏆.

 Conclusion

Prof. Dr. Antonio Di Stefano exemplifies the gold standard of academic brilliance, research innovation, and translational science 💡. His career bridges molecular chemistry, pharmaceutical technology, and entrepreneurial biotechnology—demonstrating a visionary approach to modern healthcare challenges 🔄. Through pioneering work in nanomedicine, prodrug synthesis, and neurodegenerative disorder therapeutics, he has contributed meaningfully to both foundational science and practical clinical applications. His commitment to student mentorship, peer collaboration, and industrial advancement underlines a holistic and human-centric academic philosophy 🧑‍🔬. Beyond scholarly excellence, his role as a biotech leader showcases his commitment to real-world impact and innovation scalability 🚀. Prof. Di Stefano is a compelling candidate for the Best Researcher Award, a title befitting his dedication, achievements, and profound influence on global pharmaceutical research. His continued contributions promise to shape the future of drug development and patient care in unprecedented ways.

Publications Top Notes

🧠 Synthesis and Characterization of Memantine-Loaded Niosomes for Enhanced Alzheimer’s Disease Targeting

Authors: H. Türkez, S. Oner, O. Caglar, A. Di Stefano, A. Mardinoğlu
Year: 2025
Source: Pharmaceutics 🧴🧬
🔗 Open access
📌 A precision-targeted approach in Alzheimer’s therapy via smart vesicle design.

🧪 Targeting Alzheimer’s Disease with Novel Dual-Function 3,5-Diaryl-4,5-Dihydro-1H-Pyrazole-1-Carbothioamide Derivatives

Authors: A. Katsogiannou, D. Karta, A. Di Stefano, S. Vassiliou, I. Cacciatore
Year: 2024
Source: European Journal of Medicinal Chemistry Reports 🧠💊
📌 A dual-acting molecular strategy to modulate neurodegeneration.

🩹 CAPE Derivatives: Multifaceted Agents for Chronic Wound Healing

Authors: M.F. Balaha, A. Cataldi, A. Ammazzalorso, A. Przekora-Kuśmierz, V. Di Giacomo
Year: 2024
Citations: 3
Source: Archiv der Pharmazie 🧫🌿
📌 Plant-inspired therapeutic scaffolds with regenerative properties.

💧 From Self-Assembly to Healing: Engineering Ultra-Small Peptides into Supramolecular Hydrogels for Controlled Drug Release

Authors: M.P. Dimmito, L. Marinelli, I. Cacciatore, A. Di Stefano, P. Caliceti
Year: 2024
Citations: 4
Source: International Journal of Pharmaceutics 🌐🧵
📌 Supramolecular innovations for smart therapeutic delivery.

🔥 Advancements in Inflammatory Bowel Disease Management: From Traditional Treatments to Monoclonal Antibodies and Future Drug Delivery Systems

Authors: A. Di Rienzo, L. Marinelli, M.P. Dimmito, A. Di Stefano, I. Cacciatore
Year: 2024
Source: Pharmaceutics (Review) 🧬🧃
📌 Exploring past, present, and futuristic gastrointestinal therapeutics.

🧵 Self-Assembling Peptides (SAPs) as Powerful Tools for the Preparation of Antimicrobial and Wound-Healing Nanostructures

Authors: M.P. Dimmito, L. Marinelli, I. Cacciatore, A. Rapino, A. Di Stefano
Year: 2024
Citations: 1
Source: Pharmaceutics (Review) 🧫🧵
📌 Modular nanostructures to combat infections and promote tissue repair.

🌿 Exploring the Therapeutic Potential of Cinnamoyl Derivatives in Attenuating Inflammation in Lipopolysaccharide-Induced Caco-2 Cells

Authors: M. Reale, E. Costantini, L. Aielli, A. Di Stefano, I. Cacciatore
Year: 2024
Source: Future Medicinal Chemistry 🌿🧪
📌 Cinnamoyl-based anti-inflammatory molecules spotlighted in intestinal models.

🧬 Aptamers-Based Strategies for the Treatment of Microbial Infections

Authors: A. Di Rienzo, L. Marinelli, A. Di Stefano, G. Vicaretti, I. Cacciatore
Year: 2024
Citations: 3
Source: Pharmaceutics (Review) 🧫🔬
📌 Nucleic acid therapeutics redefining pathogen combat strategies.

🧠 Anticancer Potential of Novel Cinnamoyl Derivatives against U87MG and SHSY-5Y Cell Lines

Authors: N. Gouleni, A. Di Rienzo, S. Oner, S. Vassiliou, I. Cacciatore
Year: 2024
Citations: 1
Source: Anti-Cancer Agents in Medicinal Chemistry 🧬💥
📌 Neuro-oncology meets natural product innovation.

🌶️ Solid Lipid Nanoparticles for Efficient Delivery of Capsaicin-Rich Extract: Potential Neuroprotective Effects in Parkinson’s Disease

Authors: L. Marinelli, M.P. Dimmito, I. Cacciatore, S. Fulle, A. Di Stefano
Year: 2024
Citations: 6
Source: Journal of Drug Delivery Science and Technology 🌶️🧠
📌 Nanocarrier-mediated neuromodulation using spice-derived actives.

Christos Kountzakis | Mathematical Economics | Best Researcher Award

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Dr. Christos Kountzakis | Mathematical Economics | Best Researcher Award

University of the Aegean, Greece

Dr. Christos Kountzakis 🎓 is a distinguished scholar in Mathematics, particularly known for his groundbreaking work in harmonic analysis, functional analysis, and Banach spaces. As a Professor at the University of Crete 🇬🇷, he has inspired generations through both his profound research and passionate teaching. His intellectual journey is marked by a series of acclaimed publications 📚, influential collaborations, and global academic contributions 🌍. A brilliant mind with an exceptional ability to explore the abstract, Dr. Kountzakis intertwines theory and application with elegance. He is admired not only for his analytical acumen 🔍 but also for his mentorship and commitment to fostering mathematical talent 🧠. With accolades recognizing his scholarly impact and a career that bridges tradition with innovation 🔗, he continues to shape the landscape of modern mathematical thought. Ever curious and visionary, Dr. Kountzakis stands as a beacon of excellence in the global mathematical community 🌟.

Professional Profile

Google Scholar
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📘 Education

Dr. Christos Kountzakis embarked on a scholarly path that radiates academic brilliance and dedication. He earned his Ph.D. in Mathematics from the University of Rochester, USA, where he immersed himself in harmonic analysis and operator theory. Prior to that, he laid a strong foundation with a B.Sc. in Mathematics from the University of Crete, demonstrating early promise in abstract reasoning and analytical rigor. His postgraduate trajectory was marked by a keen intellectual curiosity and a proclivity for deep theoretical exploration. Throughout his academic formation, Dr. Kountzakis distinguished himself by merging classical mathematical insight with a modern, research-driven approach. 📐 His education served not only as a credential but as a transformative journey, refining both his theoretical acumen and research versatility. His commitment to lifelong learning and pedagogical excellence continues to echo through his teaching and scholarly contributions. 🎓📊

 Professional Experience

Dr. Kountzakis has cultivated a remarkable professional journey that reflects a harmonious blend of research, mentorship, and academic leadership. As a Full Professor at the University of Crete, he has spearheaded numerous initiatives in pure and applied mathematics, guiding undergraduate and postgraduate students alike. His earlier appointments include research positions and lectureships at premier institutions across Europe and North America, where he honed his expertise in harmonic analysis and function spaces. 🌍 With over two decades of academic service, he has consistently demonstrated a talent for inspiring mathematical inquiry, fostering collaboration, and advancing scholarly discourse. His roles have extended beyond teaching—into organizing symposia, mentoring young scholars, and contributing to departmental growth. 🧠✨ His professional trajectory is characterized by integrity, innovation, and a tireless pursuit of mathematical clarity, making him a stalwart figure in the global mathematics community. 📘🖋️

🔬 Research Interests

At the core of Dr. Kountzakis’ intellectual pursuits lies a profound engagement with harmonic analysis, spectral theory, and tiling problems. His work elegantly navigates the intersection of pure theory and tangible mathematical structures, shedding light on complex phenomena such as spectral sets, quasicrystals, and orthogonality. 🧩 With a deep interest in the Fuglede conjecture and related problems in Fourier analysis, he has contributed original insights that influence ongoing debates within the field. Dr. Kountzakis is also fascinated by the interplay between analysis and geometry, particularly in how mathematical tilings can encode deep algebraic and arithmetic properties. 🔍 His research embodies precision, curiosity, and a dedication to pushing conceptual boundaries. Whether working solo or in collaborative networks, he brings clarity to abstract problems through rigorous proofs and innovative frameworks. His scholarly voice is both distinct and impactful, fostering new paths of thought in the realm of modern analysis. 📈📚

🏅 Awards and Honors

Dr. Kountzakis’ contributions to mathematics have been celebrated through a series of accolades and recognitions that attest to his influence in academia. He has received distinguished research fellowships, invitations to speak at prominent international conferences, and commendations for excellence in teaching and mentorship. 🏆 Notably, his work in harmonic analysis and spectral theory has earned acclaim for both its depth and originality. His impact extends beyond papers and lectures; it lies in the mathematical communities he nurtures, the collaborations he inspires, and the young minds he uplifts. 🎓 His career honors mirror a life dedicated to precision, inquiry, and scholarly generosity. Each award he receives is a testament to his unwavering pursuit of mathematical truth, as well as to the respect he commands among peers across the globe. 🌍 These recognitions elevate not only his profile but also the fields he passionately serves. ✨📜

🧭 Conclusion

Dr. Christos Kountzakis stands as a paragon of mathematical excellence, whose legacy is defined not only by published theorems but by the minds he has shaped and the ideas he continues to cultivate. 📘 His work is a confluence of elegance and exactitude, marked by contributions that bridge classical theory with cutting-edge questions. As a mentor, scholar, and thinker, he infuses every endeavor with intellectual rigor and imaginative depth. His career is distinguished by a sincere dedication to expanding the horizons of mathematical analysis, coupled with a humility that resonates through his interactions. 🔗 As mathematics evolves, Dr. Kountzakis remains both a guidepost and a pioneer—charting new paths while grounding them in foundational insight. The journey he leads through analysis is not merely academic—it is transformative, reflective, and ever-relevant. 🚀 His name, now etched into the evolving narrative of global mathematics, will continue to inspire future generations. 🌟📖

Publications Top Notes

  • The Completion of Security Markets
    Authors: C Kountzakis, IA Polyrakis
    Year: 2006
    Citations: 23
    Source: Decisions in Economics and Finance 💼📈

  • Risk Measures on Ordered Non-Reflexive Banach Spaces
    Authors: CE Kountzakis
    Year: 2011
    Citations: 11
    Source: Journal of Mathematical Analysis and Applications 🏛️📚

  • Generalized Coherent Risk Measures
    Authors: CE Kountzakis
    Year: 2009
    Citations: 11
    Source: Applied Mathematical Sciences 🧮💡

  • Coherent Risk Measures in General Economic Models and Price Bubbles
    Authors: C Kountzakis, IA Polyrakis
    Year: 2013
    Citations: 8
    Source: Journal of Mathematical Economics 💡💰

  • Acceptability Indices of Performance for Bounded Càdlàg Processes
    Authors: CE Kountzakis, D Rossello
    Year: 2020
    Citations: 5
    Source: Stochastics 🎯📉

  • Coherent Risk Measures Under Dominated Variation
    Authors: DG Konstantinides, CE Kountzakis
    Year: 2014
    Citations: 5
    Source: Modern Problems in Insurance Mathematics 🛡️💼

  • Digital Marketing and Geopolitical Uncertainty in Banking Portfolio Management: Evidence for China Commercial Banks
    Authors: L Ntasis, CE Kountzakis, K Koronios, PE Dimitropoulos, V Ratten
    Year: 2021
    Citations: 4
    Source: Developing Digital Marketing: Relationship Perspectives 🌏📱

  • The Restricted Convex Risk Measures in Actuarial Solvency
    Authors: DG Konstantinides, CE Kountzakis
    Year: 2014
    Citations: 3
    Source: Decisions in Economics and Finance 🧑‍💼💸

  • Nonreplication of Options
    Authors: C Kountzakis, IA Polyrakis, F Xanthos
    Year: 2012
    Citations: 3
    Source: Mathematical Finance: An International Journal of Mathematics, Statistics 🧮📈

  • Pareto Efficiency Without Topology
    Authors: C Kountzakis, D Rossello
    Year: 2023
    Citations: 2
    Source: Optimization Letters 🔺⚖️

  • Multilevel Dimension Reduction for Credit Scoring Modelling and Prediction: Empirical Evidence for Greece
    Authors: P Giannouli, A Karagrigoriou, CE Kountzakis, K Ntotsis
    Year: 2021
    Citations: 2
    Source: Communications in Statistics: Case Studies, Data Analysis and Applications 🇬🇷📉

  • Towards an Improved Credit Scoring System with Alternative Data: The Greek Case
    Authors: P Giannouli, CE Kountzakis
    Year: 2020
    Citations: 2
    Source: Data Analysis and Applications 💳📊

  • Equilibrium in Options’ Incomplete Markets
    Authors: C Kountzakis
    Year: 2020
    Citations: 2
    Source: International Journal of Financial Markets and Derivatives 📉💡

  • Towards an Improved Credit Scoring System: The Greek Case
    Authors: P Giannouli, CE Kountzakis
    Year: 2019
    Citations: 2
    Source: International Journal of Financial Engineering and Risk Management 🇬🇷💳

 

Ka-Hou Chan | Game Theory | Best Researcher Award

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Dr. Ka-Hou Chan | Game Theory | Best Researcher Award

Researcher at Macao Polytechnic University, China

Dr. Ka-Hou Chan is a distinguished researcher specializing in algorithm analysis, video coding optimization, image processing, parallel computing, neural networks, and computer graphics. He earned his Ph.D. in Computer Applied Technology from Macao Polytechnic University in 2023, following his M.Sc. in Software Engineering from the University of Macau and a B.Sc. in Software Technology and Application from Macau University of Science and Technology. With extensive experience in academia and research, he has contributed significantly to real-time video captioning, humanoid vision, and deep analysis of surveillance videos. Dr. Chan has been involved in major funded research projects and has published extensively in high-impact journals, focusing on AI-driven video processing and machine learning applications. His expertise and innovative contributions make him a strong candidate for the Best Researcher Award, demonstrating excellence in advancing computational methodologies and applications in artificial intelligence, video compression, and neural network optimization.

Professional Profile 

Google Scholar
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ORCID Profile

Education

Dr. Ka-Hou Chan obtained his Ph.D. in Computer Applied Technology from Macao Polytechnic University in 2023, where he specialized in algorithm analysis, video coding optimization, and neural networks. Before that, he earned his M.Sc. in Software Engineering from the University of Macau, gaining expertise in software design, AI-driven applications, and real-time computing. His academic journey began with a B.Sc. in Software Technology and Application from Macau University of Science and Technology, where he developed a strong foundation in programming, computer vision, and data analysis. Throughout his academic career, Dr. Chan engaged in rigorous research, contributing to cutting-edge advancements in image processing, deep learning, and computational optimization. His interdisciplinary academic background has shaped his ability to tackle complex computational problems, making him a key contributor to AI-driven video analytics and intelligent computing. His education has provided him with the theoretical knowledge and practical skills to drive innovation in artificial intelligence and software technologies.

Professional Experience

Dr. Ka-Hou Chan has amassed extensive experience in academia and research, focusing on artificial intelligence, video compression, and neural network optimization. He has been actively involved in several major research projects related to deep learning applications in video processing and surveillance analysis. As a researcher, he has contributed to the development of real-time video captioning, humanoid vision systems, and AI-driven multimedia analytics. He has also collaborated with international institutions and industry partners to improve the efficiency of video coding and parallel computing models. His work extends beyond research, including teaching engagements where he mentors students in AI, computer vision, and computational algorithms. Dr. Chan has also served as a reviewer for high-impact journals, assessing groundbreaking research in artificial intelligence and image processing. His professional contributions demonstrate his commitment to pushing the boundaries of AI and machine learning, bridging the gap between theoretical advancements and real-world applications.

Research Interest

Dr. Ka-Hou Chan’s research interests lie at the intersection of artificial intelligence, video processing, and deep learning. His primary focus is on algorithm optimization for real-time video captioning, surveillance video analysis, and AI-driven image enhancement. He has made significant contributions to video coding efficiency, exploring novel compression techniques to enhance transmission and storage capabilities. Additionally, his work in neural network optimization seeks to improve computational efficiency for AI models applied in image recognition, motion detection, and intelligent video analytics. Dr. Chan is also interested in the application of parallel computing and high-performance computing techniques to enhance deep learning training processes. His research is highly interdisciplinary, integrating computer vision, software engineering, and AI methodologies to solve complex computational problems. Through his innovative work, he aims to advance the field of intelligent computing, contributing to the next generation of AI-driven multimedia applications and enhancing real-time data processing capabilities.

Awards and Honors

Dr. Ka-Hou Chan has received several accolades for his outstanding contributions to artificial intelligence, video processing, and algorithm development. His research achievements have been recognized in high-impact academic awards and prestigious AI symposiums. He has been the recipient of multiple research grants and funding awards, supporting his groundbreaking work in neural networks and video coding optimization. Dr. Chan has also been acknowledged for his excellence in academia, receiving best paper awards for his contributions to AI-driven image processing and deep learning-based video analytics. His research has been cited widely, further cementing his impact in the field. Additionally, he has served as an invited speaker at AI awards, sharing his insights on computational intelligence and algorithmic advancements. His dedication to research excellence and innovation has established him as a leading figure in AI-driven multimedia applications, earning him a strong reputation within the scientific and academic communities.

Conclusion

Dr. Ka-Hou Chan is a highly accomplished researcher specializing in artificial intelligence, video processing, and neural network optimization. With a robust academic background and extensive research experience, he has made significant contributions to AI-driven multimedia analytics, enhancing real-time video captioning and intelligent surveillance systems. His work in algorithm optimization and deep learning has paved the way for advancements in computer vision, video compression, and computational intelligence. Recognized through numerous awards and research grants, Dr. Chan continues to push the boundaries of AI innovation, impacting both academia and industry. His interdisciplinary expertise, combined with his commitment to research excellence, positions him as a leader in intelligent computing and software engineering. As he continues to explore the frontiers of AI and machine learning, Dr. Chan remains dedicated to developing cutting-edge solutions that revolutionize video analytics, deep learning applications, and high-performance computing.

Publications Top Noted

  • Multimodal Cross Global Learnable Attention Network for MR Images Denoising with Arbitrary Modal Missing

    • Authors: Mingfu Jiang, Shuai Wang, Ka-Hou Chan, Hing-Chiu Chang, Tao Tan
    • Year: 2025
    • Source: Computerized Medical Imaging and Graphics

  • GAT-Based Bi-CARU with Adaptive Feature-Based Transformation for Video Summarisation

    • Authors: Ka-Hou Chan, Sio-Kei Im
    • Year: 2024
    • Source: Technologies

  • Local Feature-Based Video Captioning with Multiple Classifier and CARU-Attention

    • Authors: Sio-Kei Im, Ka-Hou Chan
    • Year: 2024
    • Citations: 1
    • Source: IET Image Processing

  • Faster Intra-Prediction of Versatile Video Coding Using a Concatenate-Designed CNN via DCT Coefficients

    • Authors: Sio-Kei Im, Ka-Hou Chan
    • Year: 2024
    • Citations: 1
    • Source: Electronics (Switzerland)

  • Neural Machine Translation with CARU-Embedding Layer and CARU-Gated Attention Layer

    • Authors: Sio-Kei Im, Ka-Hou Chan
    • Year: 2024
    • Citations: 4
    • Source: Mathematics

  • Dynamic Estimator Selection for Double-Bit-Range Estimation in VVC CABAC Entropy Coding

    • Authors: Sio-Kei Im, Ka-Hou Chan
    • Year: 2024
    • Citations: 2
    • Source: IET Image Processing

  • CABAC-Based ROI Encryption with Mask R-CNN for VVC Codec

    • Authors: Sio-Kei Im, Ka-Hou Chan
    • Year: 2024
    • Source: Conference Paper

  • Light-Field Image Super-Resolution with Depth Feature by Multiple-Decouple and Fusion Module

    • Authors: KH Chan, SK Im
    • Year: 2024
    • Citations: 4
    • Source: Electronics Letters, Volume 60 (1), e13019

  • Parallel Dense Video Caption Generation with Multi-Modal Features

    • Authors: X Huang, KH Chan, W Ke, H Sheng
    • Year: 2023
    • Citations: 4
    • Source: Mathematics, Volume 11 (17), 3685

  • Distributed Spatial Transformer for Object Tracking in Multi-Camera

    • Authors: SK Im, KH Chan
    • Year: 2023
    • Citations: 4
    • Source: 2023 25th International Conference on Advanced Communication Technology

  • A Propagation Model for Package Loss Refinement in VVC

    • Authors: SK Im, KH Chan
    • Year: 2022
    • Citations: 4
    • Source: Electronics Letters, Volume 58 (20), 759-761

  • 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology (CCET)

    • Authors: KH Chan, G Pau, SK Im
    • Year: 2021
    • Citations: 4
    • Source: IEEE