Prof. Mamede de Carvalho | Big Data Awards | Best Researcher Award

Prof. Mamede de Carvalho | Big Data Awards | Best Researcher Award

Prof. Mamede de Carvalho, Faculdade de Medicina , Universidade de Lisboa, Portugal

Prof. Mamede de Carvalho is a distinguished medical professional renowned for his contributions to neurology and physiology. He obtained his MD from Nova Lisbon University in 1985, specializing in Neurology at the University Hospital in Lisbon in 1993. He earned his PhD in Neurology from the University of Lisbon in 2000, followed by a Habilitation in Neurosciences in 2007. Since 2010, he has served as a Full Professor of Physiology at the University of Lisbon, where he has made significant advancements in clinical neurology, particularly in ALS and neuromuscular disorders. Prof. de Carvalho’s leadership roles include Vice-Dean at the Faculty of Medicine and President of the Reynaldo dos Santos Technological Center in Lisbon. He also directed the Neuromuscular Unit at CHLN – Hospital de Santa Maria from 2009 to 2019, further cementing his impact on neurology research and practice.

🌐 Professional Profile:

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🎓 Education

Prof. Mamede de Carvalho is a distinguished medical professional with a robust academic background. He obtained his MD from Nova Lisbon University in Lisbon, Portugal, in 1985, followed by specialization in Neurology at the University Hospital in Lisbon in 1993. He earned his PhD in Neurology from the University of Lisbon in 2000 and completed his Habilitation in Neurosciences at the same institution in 2007. Since 2010, he has served as a Full Professor of Physiology at the University of Lisbon, contributing significantly to the fields of neurology and neuroscience through his research and academic leadership.

🌐 Professional Experience & Leadership

Prof. Mamede de Carvalho is a distinguished figure in neurology and physiology, having served as the President of the Reynaldo dos Santos Technological Center in Lisbon, Portugal, from 2017 to 2022. Prior to this, he held the position of Vice-Dean at the Faculty of Medicine – University of Lisbon from 2015 to 2022. With extensive expertise, he also served as the Director of the Neuromuscular Unit at CHLN – Hospital de Santa Maria in Lisbon from 2009 to 2019, contributing significantly to advancements in clinical neurology and neuromuscular disorders.

🔬 Clinical Research & Funding

Prof. Mamede de Carvalho is a pioneering figure in clinical neurology research, renowned for his contributions to advancements like Transcranial Magnetic Stimulation and the Threshold Technique for Axonal Excitability. His leadership has been instrumental in securing significant funding for projects focused on amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases, including grants from JPND and FCT.

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Mr. Doudou Ren | Artificial Intelligence Awards | Best Researcher Award

Mr. Doudou Ren | Artificial Intelligence Awards | Best Researcher Award

Mr. Doudou Ren, Xinjiang University, China

Mr. Doudou Ren, a dedicated Master’s student at Xinjiang University 🇨🇳, is excelling in Computer Science and Technology, ranking 21st in his class. He previously graduated 4th in his class with a Bachelor’s in Internet of Things Engineering from Anhui University of Engineering 🎓. Doudou has contributed to several significant projects, including the State Grid Project, where he optimized low-resolution equipment defect identification algorithms using image enhancement techniques 🛠️. His research includes an independently published paper on a small object detection algorithm and contributions to the “Group Intelligent Autonomous Operation Smart Farm” project, developing crop scenario perception models 🌾. At the Xinjiang Multilingual Information Technology Laboratory, he is actively engaged in multiple National Natural Science Foundation projects, showcasing his expertise and commitment to advancing technology and research 🔬.

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📚Education:

Doudou Ren is currently pursuing a Master’s Degree in Computer Science and Technology at Xinjiang University’s School of Computer Science and Technology, a National First Class Construction Discipline, where he ranks 21st in his class. He previously completed his Bachelor’s Degree in Internet of Things Engineering at Anhui University of Engineering’s School of Computer and Information Technology, graduating with a professional score ranking of 4th out of 88 students.

🎓Work Experience:

Doudou Ren has participated in several significant projects, including the State Grid Project (Horizontal) where he worked on optimizing low-resolution equipment defect identification algorithms based on image enhancement (SGXJXT00JFJS2200076). His responsibilities included writing technical reports and final accounts detailing project objectives, methods, implementation processes, and results. He also independently wrote and published an academic paper titled “MFDF-YOLOv7: YOLOv7-Based Multiscale Feature Dynamic Fusion Small Object Detection Algorithm”. Additionally, he contributed to the National Major Science and Technology Project “Group Intelligent Autonomous Operation Smart Farm” (National Class B), focusing on developing a crop growth scenario understanding model (2022ZD0115802). In this role, he was responsible for extracting characteristic information of grass pests, designing crop scenario perception models, writing project documents and technical reports, and conducting experiments to verify model performance in real farm environments. As a key researcher at the Xinjiang Multilingual Information Technology Laboratory, Doudou is currently involved in multiple National Natural Science Foundation projects.

Publication Top Notes:

Improved Weed Detection in Cotton Fields Using Enhanced YOLOv8s with Modified Feature Extraction Modules
   Published Year: 2023
A Lightweight and Dynamic Feature Aggregation Method for Cotton Field Weed Detection Based on Enhanced YOLOv8
   Published Year: 2023

 

Dr. Ali Rohan | Artificial Intelligence Awards | Best Researcher Award

Dr. Ali Rohan | Artificial Intelligence Awards | Best Researcher Award

Dr. Ali Rohan, National Subsea Centre, United Kingdom

👨‍🔬 Dr. Ali Rohan is a versatile researcher and educator in the fields of robotics, artificial intelligence (AI), and computer vision. With a strong academic background including a MSc – PhD in Electrical, Electronics & Control Engineering from Kunsan National University, South Korea, he has delved into various facets of cutting-edge technology. As a Lead Researcher at institutions like the National Subsea Centre in the UK and Dongguk University in South Korea, he spearheaded groundbreaking projects like SeaSense, focusing on underwater visual systems, and DAIRYVISION, revolutionizing livestock farming with AI and machine vision. His expertise spans from real-time implementation of AI for UAVs to structural damage monitoring using AI with UAVs. Dr. Rohan’s contributions extend beyond research, as he has also shared his knowledge as an educator, teaching courses on robotics, data science, and control systems engineering. With a passion for innovation and a dedication to advancing technology, Dr. Rohan continues to make significant strides in shaping the future of AI and robotics. 🤖✨

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🎓 Education

Ph.D. in Electrical, Electronics & Control Engineering
Department of Control & Robotics Engineering, Kunsan National University, Kunsan, South Korea
(Feb 2016 – Mar 2020)

B.Sc (Hons) in Electrical Engineering
School of Electrical Engineering, The University of Faisalabad, Pakistan
(Oct 2008 – Jul 2012)

🖥️ Technical Competence

  • Areas of Specialization: AI, Machine Learning, Deep Learning, Computer Vision, Robotics, Automation
  • Programming Languages: C, C++, C#, Matlab, Python
  • AI & Machine Learning Libraries: TensorFlow, PyTorch, Scikit-learn, Keras
  • Operating Systems: Windows, Linux, macOS, Robot Operating System (ROS)

🔍 Research Interests :

🤖 Dr. Ali Rohan, an accomplished researcher, specializes in Robotics, Artificial Intelligence (AI), Computer Vision, Automation and Control, Image Processing, Signal Processing, and Machine Learning. His expertise lies in leveraging these domains to innovate solutions for various real-world challenges, from enhancing industrial automation to advancing medical diagnostics. With a keen interest in interdisciplinary research, Ali consistently explores the intersection of these fields to develop cutting-edge technologies with profound societal impacts. 🚀

🔬 Research Experience & Projects

Dr. Rohan has led and contributed to various research projects in areas such as underwater robotics, agricultural monitoring using drones, AI for healthcare, and structural damage detection using UAVs. His work includes projects funded by prestigious bodies like the Net Zero Technology Centre, InnovateUK, and the Australian Research Council.

👨‍🏫 Teaching Experience

Dr. Rohan has taught a range of modules covering topics such as fundamentals of prognostics and health management, robotics, control systems engineering, data science, and power electronics. His teaching expertise spans both theoretical principles and practical applications in engineering and technology.

🏅 Certifications & Awards

Dr. Rohan holds certifications in areas such as Prognostics and Health Management and has received recognition for his contributions to research and academia.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 19 documents indexed in Scopus.
  • 📊 Citations: A total of 437 citations for his publications, reflecting the widespread impact and recognition of Dr. Ali Rohan’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 644 📖
    • h-index: 14  📊
    • i10-index: 15 🔍
  • Since 2018:
    • Citations: 629 📖
    • h-index: 14 📊
    • i10-index: 14 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

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