Ghanem Aicha | Game Theory | Best Researcher Award

Dr. Ghanem Aicha | Game Theory | Best Researcher Award

Ph.D at Laboratory of Fundamental and Numerical Mathematics (LMFN), Algeria

Dr. Ghanem Aicha 🎓, a rising scholar from the Laboratory of Fundamental and Numerical Mathematics at Ferhat Abbas University, Setif 1 🇩🇿, is carving a niche in the sophisticated realms of Differential Games and Optimal Control Theory. Her research brilliance shines through her dynamic application of programming tools like MATLAB, Python, Java, and C++ 💻 to develop theoretically sound and numerically robust solutions. With a solid academic foundation and guided by distinguished mentors Dr. Bouremani Touffik and Prof. Benterki Djamel, she has actively presented her work in prestigious international and national conferences 🌍. Her recent publication in the Journal of Computational and Applied Mathematics 📘 marks a pivotal achievement, validating her innovative approach to complex mathematical problems. Multilingual and methodical, Dr. Aicha embodies the essence of a forward-thinking researcher, harmonizing analytical depth with computational precision. She stands as a beacon of promise for the future of applied mathematics and control systems 🔍✨.

Professional Profile 

ORCID Profile

Education 🎓📚

Dr. Ghanem Aicha’s academic odyssey began with a Baccalaureate in Mathematics in Batna (2014), paving the way to her Bachelor’s degree in Mathematics at the University of Msila (2014–2017). She then embarked on a focused journey in Optimization and Control, earning her Master’s degree from Setif University (2017–2019). Her quest for deeper mathematical understanding led her into a Ph.D. program (2021–2025) at the Laboratory of Fundamental and Numerical Mathematics, Ferhat Abbas University, Setif 1 🧠. Under the mentorship of Dr. Bouremani Touffik and Professor Benterki Djamel, she has delved into the challenging fields of Differential Games and Optimal Control Theory, building a rigorous theoretical and computational foundation. Her educational path showcases a blend of resilience, precision, and unwavering commitment to mathematical excellence—laying a robust framework for her future in academia and scientific innovation 🚀.

Professional Experience 👩‍💼🔬

Though early in her professional voyage, Dr. Ghanem Aicha has already demonstrated the makings of an impactful researcher. As a dedicated Ph.D. scholar at Ferhat Abbas University, she has engaged deeply with theoretical and numerical modeling, contributing to scholarly discourse through national and international platforms 🌍. Her experience includes collaborating with esteemed researchers, co-authoring peer-reviewed journal articles, and presenting at symposiums such as IMSSRS (USA) and the Institute of Mathematics, NAS of Ukraine. Dr. Aicha is also proficient in scientific computing, harnessing the power of Matlab, Python, Java, and C++ to model and simulate complex control systems ⚙️💻. She regularly analyzes technical reports and applies dynamic programming approaches to multifaceted differential problems. Her academic engagements extend beyond research, encompassing mentoring peers and contributing to collaborative investigations, all while nurturing a global scientific perspective. A future thought leader in applied mathematics, her professional journey is gaining momentum with precision and purpose 🌟.

Research Interest 🔎📐

Dr. Ghanem Aicha’s research orbit revolves around Differential Games, Optimal Control Theory, and Dynamic Programming, where mathematics meets decision-making under constraints. She explores intricate systems where strategy, optimization, and real-time control intersect—a crucial foundation for aerospace, economics, and cybernetics 🚀📊. Her fascination lies in characterizing admissible trajectories in differential games, especially under Dolichobrachistochrone and Isaacs’ frameworks. Bridging theory with application, she seeks solutions that are both mathematically elegant and computationally verifiable. With an affinity for numerical simulation and algorithmic development, her work is powered by a synthesis of abstract reasoning and practical modeling. She is particularly interested in non-singular and singular solution cases, extending Hamiltonian flows, and optimizing complex parametric curves. Through her interdisciplinary lens, she aims to push the frontiers of how we model and manage real-world dynamical systems. A true advocate for precision and possibility, Dr. Aicha is poised to become a trailblazer in the control sciences and applied game theory 🧠🎯.

Awards and Honors 🏆🌟

While still navigating the early stages of her career, Dr. Ghanem Aicha has already begun gathering academic accolades through her impactful contributions. Her co-authored paper—“On the solution of the dolichobrachistochrone differential game via dynamic programming approach”—was accepted in the prestigious Journal of Computational and Applied Mathematics 📘, a milestone for emerging researchers. She has been invited to present her work at top-tier international platforms including the Institute of Mathematics of NAS Ukraine and the International Mathematics and Statistics Student Research Symposium (IMSSRS), USA 🌐—a testament to the growing recognition of her mathematical insight. Though formal awards may still be on the horizon, her consistent selection for speaking engagements, collaborations with senior academics, and invitations to advanced workshops reflect an evolving trajectory of academic merit. With her strong foundation and innovative mindset, many honors undoubtedly await this promising mathematician on the global research stage 🥇✨.

Conclusion ✨📈

Dr. Ghanem Aicha is a bright luminary rising through the constellation of contemporary mathematics 🌠. With a focused specialization in Differential Games and Optimal Control Theory, she melds elegance of theory with the power of computation—producing impactful results that resonate across academia and beyond. Her academic perseverance, technical dexterity, and early achievements position her as not only a researcher of today but a pioneer of tomorrow 💡. Fluent in multiple languages and skilled in diverse programming tools, she bridges cultures and codes with equal fluency. Through every paper published, presentation delivered, and problem solved, she reflects dedication, innovation, and precision. As she continues her scholarly ascent, Dr. Aicha embodies the spirit of a next-generation thinker—methodical, curious, and deeply committed to the advancement of science. A compelling candidate for any research honor, she is truly a name to watch in the mathematical sciences 🔭📊.

Publications Top Notes

📘 Title:On the Solution of Dolichobrachistochrone Differential Game via Dynamic Programming Approach

👩‍🔬 Authors: Ghanem Aicha, Touffik Bouremani, Djamel Benterki
📆 Year: December 2024
📚 Source: Journal of Computational and Applied Mathematics
🧠 Vibe: A thrilling journey into the core of differential games, this paper revives Isaacs’ 1965 brainchild using the sharp blade of Mirică’s 2004 dynamic programming. The twist? It pioneers feedback strategies—giving this classical conundrum a futuristic edge 🎯🤖.


📗 Title:New Proceeding CNMA’2022

🧑‍🤝‍🧑 Authors: Ichrak Bouacida, Mourad Kerboua, Sami Segni, Ghanem Aicha
🗓️ Year: July 2023
🏛️ Source: Conference on Nonlinear Mathematical Analysis (CNMA’2022) – Full Text Available
🌟 Essence: A symphony of minds tackling nonlinear mysteries. Dr. Aicha joins forces with renowned peers to spotlight fresh insights at CNMA’2022—a scholarly pulse on the national stage with global echoes 📈🌐.

Ka-Hou Chan | Game Theory | Best Researcher Award

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
Scopus Profile
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