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

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

Prof. Fabio Caldarola, Università 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 🎓

  • Ph.D. in Mathematics and Computer Science (December 2013)
    • Università 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)
    • Università della Calabria
    • 110/110 cum laude
    • Thesis: Rivestimenti Abeliani di Varietà Algebriche (Algebraic Geometry)
    • Advisor: Prof. P. A. Oliverio
  • Maturità Scientifica (July 1998)
    • Liceo Scientifico G.B. Scorza, Cosenza
    • Score: 60/60

Work Experience 💼

  • Assistant Professor (SSD MAT/07)
    • Department of Environmental Engineering, Università della Calabria
    • January 2022 – December 2024
  • Postdoctoral Research Fellowships 📚
    • Smart Secure & Inclusive Communities Project (SSD MAT/02 – INF/01)
      • Department of Mathematics and Computer Science, Università 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, Università della Calabria
      • May 2018 – April 2019
  • Research Collaboration Contract 🔬
    • Study of complex networks, focusing on symmetries and symmetry groups in graphs and quivers emerging from real contexts
    • Department of Physics, Università della Calabria
    • March 2016 – June 2016 (4 months)

Achievements & Awards 🏆

  • Academic Excellence: Laurea in Mathematics with highest honors (110/110 cum laude) 🎖️
  • Research Impact: Contributed to advanced research in Algebraic Number Theory, Algebraic Geometry, and complex network analysis.
  • Ph.D. Scholarship: Funded by Università 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

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

  • Critical Infrastructure Risk Management ⚠️
  • Competitive Intelligence 🧠

Professional Experience

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

💡 Career Highlights:

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

Research Interests

🔍 Core Areas:

  • Artificial Intelligence & Machine Learning 🤖
  • Digital Signal Processing 📡
  • Neural Networks for Audio & Image Analysis 🎧🖼️
  • Cyber Security & Forensics 🕵️‍♂️
  • Cognitive Radio Systems 📻

🔍 Specialized Focus:

  • Deep Learning for object detection and classification 🖥️
  • Brain-Computer Interfaces 🧠
  • EEG, EKG, and EMG signal analysis 📊
  • Cryptography & Multimedia Security 🔒

Teaching Expertise

📚 Courses include:

  • Cyber Security & Defence 🔐
  • Digital Image Processing 📷
  • Real-Time Signal Processing ⏱️
  • Multimedia Forensics and Security 🎥

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

Dr. Tesfay Gidey | Machine Learning Awards | Best Researcher Award

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Dr. Tesfay Gidey | Machine Learning Awards | Best Researcher Award 

Dr. Tesfay Gidey, Addis Ababa Science and Technology University, Ethiopia

Tesfay Gidey Hailu is a distinguished Information and Communication Engineer and data scientist with a strong foundation in computer science, software engineering, data analytics, and machine learning. Holding a Ph.D. in Information and Communication Engineering from the University of Electronic Science and Technology of China, Tesfay specializes in advanced signal processing, indoor localization, information fusion, and health datasets. His expertise spans multiple programming languages, including Python, C++, SQL, and Java, as well as advanced statistical tools like SAS and R, which he uses to derive data-driven insights and support strategic decision-making in technology projects. Tesfay’s career includes notable leadership roles, such as Associate Dean for Research and Technology Transfer at Addis Ababa Science and Technology University (AASTU) and Head of Department at Jimma University. His work in academia has focused on curriculum development, student recruitment and retention, and faculty management, showcasing his commitment to fostering educational excellence. Additionally, Tesfay holds an M.Sc. in Software Engineering and an M.Sc. in Health Informatics and Biostatistics, underscoring his multidisciplinary expertise. With a deep commitment to problem-solving and continuous learning, Tesfay is adept at leveraging data and technology to drive impactful results across both academic and industry settings.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award for Tesfay Gidey Hailu

Overview: Tesfay Gidey Hailu is an accomplished Information and Communication Engineer, specializing in computer science, data science, and software engineering with extensive experience in machine learning, data structure, algorithm analysis, and business analytics. He holds a Ph.D. in Information and Communication Engineering, has published several journal articles, and serves as a journal reviewer for prestigious journals. His broad expertise and impactful contributions make him a strong candidate for the Best Researcher Award.

🎓 Education:

  • Ph.D. in Information and Communication Engineering (2023)
    University of Electronic Science and Technology of China
    Specialized in digital signal processing and information systems, with research in indoor positioning using machine learning algorithms.
  • MSc in Software Engineering (2018)
    HILCOE School of Computer Science and Information Technology
    Completed advanced courses in requirement engineering, project management, and software security.
  • MSc in Health Informatics and Biostatistics (2013)
    College of Health Sciences, Mekelle University
    Focused on health informatics, biostatistics, epidemiology, and public health project management.

Work Experience

  1. Associate Dean for Research and Technology Transfer
    • Institution: AASTU, Addis Ababa, College of Natural and Social Sciences
    • Duration: 2017-2019
    • Responsibilities: Initiated quality improvement initiatives for manufacturing industries, faculty recruitment, supervised admissions, student recruitment, and conducted industry-related research.
  2. Associate Dean, Interdisciplinary Programs Directorate
    • Institution: AASTU, Addis Ababa
    • Duration: 2015-2016
    • Responsibilities: Managed student services and retention, supervised curriculum quality initiatives, admissions, and presented research findings.
  3. Head of Department
    • Institution: Jimma University, Jimma
    • Duration: 2008-2009
    • Responsibilities: Led department meetings, evaluated performance, streamlined operations to enhance student satisfaction.
  4. Coordinator, Community-Based Training Program (CBTP)
    • Institution: Jimma University, Faculty of Natural and Information Sciences Extension Division
    • Duration: 2007-2008
    • Responsibilities: Oversaw the CBTP initiative, focusing on community-based training programs.

Publication top Notes:

Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective Measures

Ada-LT IP: Functional Discriminant Analysis of Feature Extraction for Adaptive Long-Term Wi-Fi Indoor Localization in Evolving Environments

MultiDMet: Designing a Hybrid Multidimensional Metrics Framework to Predictive Modeling for Performance Evaluation and Feature Selection

Mr. Heng Luo | Machine Learning Awards | Young Scientist Award

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Mr. Heng Luo | Machine Learning Awards | Young Scientist Award 

Mr. Heng Luo, The Hong Kong Polytechnic University, Hong Kong

Heng Luo is a distinguished researcher and PhD candidate at The Hong Kong Polytechnic University, specializing in the Institute of Textiles and Clothing since January 2021. His academic journey is marked by diverse and rich experiences across several prestigious institutions. Heng holds a Master’s degree in Electronic Engineering from the University of Electronic Science and Technology of China, completed in 2013, followed by another Master’s degree from the same institution in 2016, focusing on the Department of Industrial and Systems Engineering. Additionally, he earned an MSc from the University of Warwick’s Manufacturing Group. Heng’s research interests span across smart hardware, artificial intelligence, flexible devices, robotics, signal processing, cloud computing, and edge computing. His dedication to advancing technology is reflected in his active memberships with the Institution of Engineering and Technology and the IEEE, where he also contributes as a member of the Young Professionals group. His contributions to the field are recognized on platforms such as SciProfiles and ORCID, showcasing his commitment to connecting research and researchers worldwide. Heng Luo’s work exemplifies the integration of interdisciplinary knowledge and innovative thinking, driving forward the frontiers of technology and engineering

Professional Profile:

ORCID

Education:

  • 🎓 PhD, The Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Kowloon, Hong Kong (2021 – Present)
  • 🎓 MSc, Warwick Manufacturing Group, The University of Warwick, Coventry, West Midlands, UK (2013 – 2016)
  • 🎓 MSc, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong (2013 – 2016)
  • 🎓 Master Degree, Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (2012 – 2013)
  • 🎓 Bachelor Degree, Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (2008 – 2012)

Membership and Service:

  • 🏛️ Member, Institution of Engineering and Technology, Hong Kong, UK (2021 – Present)
  • 🌐 Member, IEEE, Hong Kong, NY, US (2021 – Present)
  • 👨‍💻 Young Professionals, IEEE, Hong Kong, NY, US (2021 – Present)

Work Experience

Note: The original information provided did not include details about work experience. If there is specific information about Heng Luo’s work experience that needs to be included, please provide those details.

Publication top Notes:

Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities

Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water

Ionic Hydrogel for Efficient and Scalable Moisture‐Electric Generation

Article identification method and device based on machine learning

Observer-based control of discrete-time fuzzy positive systems with time delays

Observer-based control of discrete-time fuzzy positive systems with time delays

Stability analysis of discrete-time fuzzy positive systems with time delays

Method for generating multi-input multi-output over-horizon (MIMO-OTH) radar waveforms based on digital signal processor (DSP) sequences