Dr. Shuaa Alharbi | Deep learning Awards | Women Researcher Award

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Dr. Shuaa Alharbi | Deep learning Awards | Women Researcher AwardΒ 

Dr. Shuaa Alharbi, Qassim University, Saudi Arabia

Shuaa S. Alharbi is an Assistant Professor at the College of Computer Science, Qassim University, Saudi Arabia. She holds a B.Sc. and M.Sc. in Computer Science from Qassim University, and a Ph.D. in Computer Science from Durham University, UK. Her research expertise lies in machine learning, deep learning, and image processing, particularly in the biomedical domain. She specializes in developing novel deep learning architectures and techniques for analyzing medical images to enhance diagnostic accuracy. Her work focuses on curvilinear structure extraction and bioimage informatics, and she has published impactful research in esteemed journals, including Signal, Image and Video Processing and Methods. Dr. Alharbi has also contributed extensively to academic committees, curriculum development, and postgraduate supervision, reflecting her dedication to education and research excellence.

Professional Profile:

ORCID

Β Suitability for the Women Researcher Award

Dr. Shuaa S. Alharbi has demonstrated substantial contributions in computer science, with a focus on machine learning, image processing, and medical image analysis. Her research is interdisciplinary, addressing key challenges in the fields of bioimage informatics, medical diagnostics, and AI-based deep learning applications. These align with global priorities in health technology and AI-driven innovation.

πŸŽ“ Education

  • B.Sc. in Computer Science (2007)
    πŸ“ Qassim University, Saudi Arabia
  • M.Sc. in Computer Science (2014)
    πŸ“ Qassim University, Saudi Arabia
  • Ph.D. in Computer Science (2020)
    πŸ“ Durham University, United Kingdom
    πŸ§‘β€πŸ’» Specialization: Bioimage Informatics, Machine Learning, and Image Processing

πŸ’Ό Work Experience

  • Teaching Assistant (2008-2016)
    πŸ“ Qassim University – College of Computer Science
  • Lecturer (2016-2020)
    πŸ“ Qassim University – College of Computer Science
  • Assistant Professor (2020–Present)
    πŸ“ Qassim University – College of Computer Science
  • Administrative Roles:
    • E-Content Supervisor (2020-2022)
    • IT Department Coordinator (2020-2022)
    • Member of various academic and examination committees

πŸ† Achievements, Awards, and Honors

  • Published Research:
    • πŸ“˜ Sequential Graph-Based Extraction of Curvilinear Structures (2019)
      πŸ”— Signal, Image, and Video Processing Journal
    • πŸ“˜ The Multiscale Top-Hat Tensor (2019)
      πŸ”— Methods Journal
  • Research Contributions:
    🌟 Expertise in machine learning, deep learning, and medical image processing
    🌟 Development of novel architectures for analyzing curvilinear structures in biological and medical images
  • Committee Memberships:
    πŸ… Standing Committees in the Scientific Council (2023-2024)
  • Supervision:
    πŸŽ“ Postgraduate Supervisor at the College of Computer Science

🌟 Areas of Interest

  • Machine Learning & Deep Learning πŸ€–
  • Medical Image Analysis πŸ₯
  • Computer Graphics and Signal Processing 🎨

PublicationΒ Top Notes:

Arabic Speech Recognition: Advancement and Challenges

Date Fruit Detection and Classification Based on Its Variety Using Deep Learning Technology

Exploring the Applications of Artificial Intelligence in Dental Image Detection: A Systematic Review

E-DFu-Net: An efficient deep convolutional neural network models for Diabetic Foot Ulcer classification

Integration of machine learning bi-modal engagement emotion detection model to self-reporting for educational satisfaction measurement

Prof. Fabio Caldarola | Neural Network Awards | Best Paper Award

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Prof. Fabio Caldarola | Neural Network Awards | Best Paper AwardΒ 

Prof. Fabio Caldarola, UniversitΓ  della Calabria, Italy

Dr. Fabio Caldarola is an accomplished mathematician and researcher, currently serving as an Assistant Professor in the Department of Environmental Engineering (DIAm) at the University of Calabria, Italy, a position he has held since January 2022. He earned his Ph.D. in Mathematics and Computer Science from the University of Calabria in December 2013, specializing in Algebraic Number Theory with a focus on Iwasawa Theory. Dr. Caldarola also holds a Laurea in Mathematics, graduating cum laude in 2003 with a thesis in Algebraic Geometry. His academic career includes several postdoctoral research fellowships, contributing to projects such as “Smart Secure & Inclusive Communities” and “I-BEST,” where he applied advanced mathematical concepts to environmental and land engineering challenges. His research interests extend to the study of complex networks, including symmetries and symmetry groups in graphs and quivers. With a strong background in pure and applied mathematics, Dr. Caldarola combines theoretical expertise with practical applications in environmental and computational sciences.

Professional Profile:

ORCID

Summary of Suitability for the Best Paper Award: Fabio Caldarola

Research Contributions
Fabio Caldarola is a distinguished researcher in mathematics and computer science, with a strong focus on innovative applications that address contemporary challenges. His significant contributions are showcased through his research publications, especially in the areas of neural fairness, blockchain protocols, and mathematical theories. Notable works include.

Education πŸŽ“

  • Ph.D. in Mathematics and Computer Science (December 2013)
    • UniversitΓ  della Calabria
    • Thesis: Capitulation and Stabilization in various aspects of Iwasawa Theory for Zp-extensions (Algebraic Number Theory)
    • Advisor: Dott. A. Bandini
  • Laurea in Mathematics (May 2003)
    • UniversitΓ  della Calabria
    • 110/110 cum laude
    • Thesis: Rivestimenti Abeliani di VarietΓ  Algebriche (Algebraic Geometry)
    • Advisor: Prof. P. A. Oliverio
  • MaturitΓ  Scientifica (July 1998)
    • Liceo Scientifico G.B. Scorza, Cosenza
    • Score: 60/60

Work Experience πŸ’Ό

  • Assistant Professor (SSD MAT/07)
    • Department of Environmental Engineering, UniversitΓ  della Calabria
    • January 2022 – December 2024
  • Postdoctoral Research Fellowships πŸ“š
    • Smart Secure & Inclusive Communities Project (SSD MAT/02 – INF/01)
      • Department of Mathematics and Computer Science, UniversitΓ  della Calabria
      • August 2020 – October 2021 (15 months)
    • I-BEST Project (SSD MAT/02 – ICAR/02)
      • Department of Environmental and Land Engineering and Chemical Engineering
      • June 2019 – May 2020
    • I-BEST Project (SSD MAT/03 – ICAR/02)
      • Department of Civil Engineering, UniversitΓ  della Calabria
      • May 2018 – April 2019
  • Research Collaboration Contract πŸ”¬
    • Study of complex networks, focusing on symmetries and symmetry groups in graphs and quivers emerging from real contexts
    • Department of Physics, UniversitΓ  della Calabria
    • March 2016 – June 2016 (4 months)

Achievements & Awards πŸ†

  • Academic Excellence: Laurea in Mathematics with highest honors (110/110 cum laude) πŸŽ–οΈ
  • Research Impact: Contributed to advanced research in Algebraic Number Theory, Algebraic Geometry, and complex network analysis.
  • Ph.D. Scholarship: Funded by UniversitΓ  della Calabria for excellence in doctoral research

Publication Top Notes:

Neural Fairness Blockchain Protocol Using an Elliptic Curves Lottery

Algebraic Tools and New Local Indices for Water Networks:Some Numerical Examples

Combinatorics on n-sets: Arithmetic Properties and Numerical Results

New Approaches to Basic Calculus: An Experimentation via Numerical Computation

Numerical Experimentations for a New Set of Local Indices of a Water Network

Prof. Catalin Dumitrescu | Artificial Intelligence Awards | Excellence in Research

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Prof. Catalin Dumitrescu | Artificial Intelligence Awards | Excellence in Research

Prof. Catalin Dumitrescu, University Politehnica of Bucharest, Romania

Dr. Cătălin Dumitrescu is an Associate Professor and R&D Scientific Adviser specializing in Computing and Artificial Intelligence at the Department of Electronics & Telecommunications, Transportation Engineering Faculty, University Politehnica of Bucharest (UPB), Romania. With a Ph.D. in Digital Signal Processing and Machine Learning from UPB, he possesses extensive expertise in artificial intelligence, machine learning, and digital signal processing, particularly in applications related to defense, cybersecurity, and multimedia security. Dr. Dumitrescu has over 20 years of R&D experience in the defense industry, including roles in machine learning systems for IMINT & SIGINT. He is also a certified expert in Critical Infrastructure Risk Management and Competitive Intelligence.

 

Professional Profile:

Summary of Suitability for Excellence in Research: Dr. Catalin Dumitrescu

Dr. Catalin Dumitrescu exemplifies excellence in research through his extensive expertise, academic credentials, professional experience, and impactful contributions in the fields of Artificial Intelligence, Machine Learning, and Digital Signal Processing, particularly in applications for defense, transportation, and security.

Education

πŸŽ“ Ph.D. in Digital Signal Processing & Machine Learning – University Politehnica of Bucharest.
πŸ“œ Engineering Degree in Signal and Image Processing – Transportation Engineering Faculty, UPB.
πŸŽ“ Postgraduate Degree in International Business & Economics – Bucharest University of Economic Studies.
πŸ“‘ Certified Expert in:

  • Critical Infrastructure Risk Management ⚠️
  • Competitive Intelligence 🧠

Professional Experience

πŸ”Ή 2015 – Present: Associate Professor, R&D Adviser in AI & Computing, UPB.
πŸ”Ή 2018 – Present: R&D Consultant, SOLIDUS AI TECH.
πŸ”Ή 2015 – 2018: Software Systems Architect, UTI GROUP.
πŸ”Ή 1995 – 2015: R&D Military Officer, Defense Advanced Technology Institute.
πŸ”Ή 1986 – 1995: Electronics Engineer, Transport Research Institute.

πŸ’‘ Career Highlights:

  • 20+ years of experience in Machine Learning, AI, and Cyber Defence.
  • Expertise in IMINT & SIGINT for the defence sector πŸ›‘οΈ.
  • Development of advanced algorithms and software architecture for signal processing and AI systems.

Research Interests

πŸ” Core Areas:

  • Artificial Intelligence & Machine Learning πŸ€–
  • Digital Signal Processing πŸ“‘
  • Neural Networks for Audio & Image Analysis πŸŽ§πŸ–ΌοΈ
  • Cyber Security & Forensics πŸ•΅οΈβ€β™‚οΈ
  • Cognitive Radio Systems πŸ“»

πŸ” Specialized Focus:

  • Deep Learning for object detection and classification πŸ–₯️
  • Brain-Computer Interfaces 🧠
  • EEG, EKG, and EMG signal analysis πŸ“Š
  • Cryptography & Multimedia Security πŸ”’

Teaching Expertise

πŸ“š Courses include:

  • Cyber Security & Defence πŸ”
  • Digital Image Processing πŸ“·
  • Real-Time Signal Processing ⏱️
  • Multimedia Forensics and Security πŸŽ₯

Publication top Notes:

Fuzzy logic for intelligent control system using soft computing applications

CITED:61

Development of an acoustic system for UAV detection

CITED:60

Using brain-computer interface to control a virtual drone using non-invasive motor imagery and machine learning

CITED:21

Aircraft trajectory tracking using radar equipment with fuzzy logic algorithm

CITED:21

Internal Auditing & Risk Management, No. 4 (56)

CITED:17

Monitoring system with applications in road transport

CITED:17