Ali Alyatimi | Deep Learning | Best Research Article Award

Mr. Ali Alyatimi | Deep Learning | Best Research Article Award

Associate Professor | The University of Sydney | Australia

Mr. Ali Alyatimiis a dedicated researcher and academic professional currently pursuing a PhD in Computer Science at the University of Sydney, specializing in deep learning and multi-omics data integration. With a solid interdisciplinary background in computer science, engineering technology, and artificial intelligence, Mr. Ali Alyatimi brings extensive experience in both research and teaching across data science, machine learning, and computer vision domains. His academic foundation includes advanced study in computational methods, database systems, and data-driven modeling, supported by expertise in programming languages such as Python, R, SQL, and MATLAB. His research focuses on developing multi-view deep learning frameworks that enhance biological data fusion and computational biology analysis, supervised by Dr. Vera Chung and Dr. Ali Anaissi. Before commencing doctoral research, he served as a lecturer and trainer in the Department of Computer Science at the College of Technology, Jizan, where he taught programming, database design, and computer network courses, guiding students in developing innovative, database-driven web applications using PHP and MySQL. His earlier research at the University of New England involved the design and implementation of illumination invariance techniques to improve weed detection in pastures using object detection models with YOLOv4 and TensorFlow, demonstrating the practical potential of deep learning in precision agriculture. Alongside research, he actively contributes to academic development through tutoring undergraduate courses in data science and computational methods at the University of Sydney. His current work integrates artificial intelligence, bioinformatics, and data fusion, aiming to advance computational modeling in healthcare and life sciences.

Featured Publications:

Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

Prof, Faculty of Food Technology and Biotechnology at University of Zagreb, Croatia

Sylvain S. Guillou is a Full Professor of Fluid Mechanics at the University of Caen Normandy, France. He is the Director of the Applied Science Laboratory LUSAC and has over 176 publications, 38,900 reads, and 1,692 citations. His research focuses on computational physics, fluid dynamics, and geophysics, particularly in tidal turbines and marine renewable energies ¹.

Profile

orcid

🎓 Education

– *HDR – Fluid Mechanics*, University of Caen (2004-2005)- Ph.D. in Applied Mathematics – Mechanics, University of Paris Pierre & Marie Curie (1993-1996)- (link unavailable) in Dynamics of Fluids – Numerical Modeling, Ecole Centrale de Nantes (1992-1993)

👨‍🔬 Experience

– *Full Professor*, University of Caen Normandy (2017-present)- *Associate Professor*, University of Caen Normandy (2005-2017)- *Assistant Professor*, University of Caen Normandy (1999-2005)- *Post-doctoral Researcher*, University of Caen (1996-1997)

🔍 Research Interest

– *Computational Physics*: Numerical simulations of complex fluid flows- *Fluid Dynamics*: Turbulence, sediment transport, and environmental fluid mechanics- *Geophysics*: Marine renewable energies, tidal turbines, and offshore wind energies

Awards and Honors 🏆

Although specific awards and honors are not detailed, Guillou’s editorial roles and conference organization demonstrate his recognition in the field ¹ ²: – *Associate Editor*, Energies, La Houille Blanche, and International Journal for Sediment Research- *Organizer*, International Conference on Estuaries and Coasts (ICEC-2018) and other conferences

📚 Publications 

– Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport–Application to the Alderney Race (Raz Blanchard), France 🌊
– Modelling turbulence with an Actuator Disk representing a tidal turbine 🌟
– A two-phase numerical model for suspended-sediment transport in estuaries 🌴
– Wake field study of tidal turbines under realistic flow conditions 💨
– Tidal farm analysis using an analytical model for the flow velocity prediction in the wake of a tidal turbine with small diameter to depth ratio 🌊

Conclusion

Sylvain S. Guillou’s impressive research record, leadership roles, and editorial activities make him an excellent candidate for the Best Researcher Award. His contributions to computational physics, fluid dynamics, and geophysics have significantly advanced our understanding of these fields. With some potential for interdisciplinary collaborations and exploring emerging topics, Guillou is well-suited to receive this award ¹ ².

Prof. JinAn XU | Deep Learning | Best Researcher Award

Prof. JinAn XU | Deep Learning | Best Researcher Award

The Head of Research Institute of Large Scale Data and NLP, Beijing Jiaotong University, China

Prof. JinAn Xu is a renowned researcher in the field of Natural Language Processing (NLP), Machine Translation (MT), and Large Language Models (LLMs). With a strong background in computer science, Prof. Xu has published numerous papers in top-tier conferences and journals. Currently, Prof. Xu is working at Beijing Jiaotong University as a professor.

Profile

scholar

🎓 Education

Ph.D. from Hokkaido University, Japan (2001-2006) 📚 Undergraduate degree from North Jiaotong University (1988-1992)

👨‍🔬 Experience

– Professor, Beijing Jiaotong University (2018-present) 👨‍🏫– Associate Professor, Beijing Jiaotong University (2009-2018) 📚– Researcher, NEC Research Center, NLP LAB (2006-2009) 🔬– Engineer, The Fourth Survey and Design Institute of the Ministry of Railway (1992-1999

🔍 Research Interest

– Natural Language Processing (NLP) 🤖– Machine Translation (MT) 🌎– Large Language Models (LLMs) 📈– Knowledge Graphs (KG)

🏆Awards and Honors

– CCF Outstanding Member 🌟

📚 Publications

1. “A Variational Hierarchical Model for Neural Cross-Lingual Summarization” 📄
2. “Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation” 🤖
3. “MSCTD: A Multimodal Sentiment Chat Translation Dataset” 💬
4. “Scheduled Multitask Learning for Neural Chat Translation” 📱
5. “Saliency as Evidence: Event Detection with Trigger Saliency Attribution” 🔍

Conclusion

Prof. JinAn Xu is a highly accomplished researcher with a strong publication record, research impact, and diverse research interests. Their leadership and experience make them an excellent candidate for the Best Researcher Award. With some potential areas for improvement, Prof. Xu’s achievements and contributions make them a strong contender for this award.