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

Assoc. Prof. Dr. Jiahao Liu | Neuromorphic Devices Awards | Best Researcher Award

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Assoc. Prof. Dr. Jiahao Liu | Neuromorphic Devices Awards | Best Researcher Award

Assoc. Prof. Dr. Jiahao Liu, National University of Defense Technology, China

Liu Jiahao is an Associate Researcher in the Department of Nanoscience at the National University of Defense Technology, where he specializes in nano-optoelectronic intelligent information devices. He earned his Ph.D. in Electronic Science and Technology from the College of Computer Science at the same university, under the supervision of Researcher Fang Liang. His academic journey also included joint training at Tsinghua University in Physics. Liu has actively contributed to the scientific community as an expert reviewer for the National Natural Science Foundation of China and as a reviewer for prestigious international publishers such as IEEE and IET. Currently, he leads multiple research projects funded by national science foundations, focusing on the dynamics of skyrmions and their applications in neuromorphic computing, alongside other innovative studies in nanotechnology. Born in Xiangyang, Hubei, and a dedicated Party member, Liu is committed to advancing research in the field of nanoscience and its applications in modern technology.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Liu Jiahao

Liu Jiahao is an accomplished researcher in the field of electronic science and technology, with a strong focus on nano-optoelectronic intelligent information devices. His academic journey, impressive publication record, and active involvement in cutting-edge research projects highlight his qualifications for the Best Researcher Award.

Education

Ph.D. in Electronic Science and Technology
National University of Defense Technology
February 2020 – December 2022

  • Advisor: Researcher Fang Liang
  • Joint Training:
    • Department of Physics, Tsinghua University
    • November 2020 – September 2022
    • Advisor: Associate Professor Jiang Wanjun
    • Specialization: Physics

Work Experience

Lecturer
Department of Nanoscience, College of Frontier Interdisciplinary Science
National University of Defense Technology
December 2022 – December 2023

Associate Researcher
Department of Nanoscience, College of Frontier Interdisciplinary Science
National University of Defense Technology
December 2023 – Present

Publication top Notes:

Linear Weight Update Synaptic Responses in Ferrimagnetic Neuromorphic Devices

Ferrimagnet-Based Neuromorphic Device Mimicking the Ventral Visual Pathway for High-Accuracy Target Recognition

Skyrmionium creation and annihilation: Experimental and micromagnetic simulation demonstration

Electrical detection of mobile skyrmions with 100% tunneling magnetoresistance in a racetrack-like device

On-chip skyrmion synapse regulated by Oersted field

Skyrmions in nanorings: A versatile platform for skyrmionics

 

 

Assoc Prof Dr. Izabela Rojek | Artificial Intelligence | Best Researcher Award

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Assoc Prof Dr. Izabela Rojek | Artificial Intelligence | Best Researcher Award 

Assoc Prof Dr. Izabela Rojek, Kazimierz Wielki University, Poland

Dr. Izabela Rojek is a prominent academic and researcher serving as the Head of the Department of Data Processing Methods and Tools and the Dean of the Faculty of Computer Science at Kazimierz Wielki University in Bydgoszcz, Poland. She holds the qualifications of Ph.D., D.Sc.Eng., and Associate Professor. Dr. Rojek’s research is centered on engineering sciences, specifically in Technical Informatics, Telecommunications, and Mechanical Engineering. Her extensive scientific output includes five books, 190 articles and chapters in monographs, and over 6000 points in the Ministry of Science and Higher Education (MNiSW) ranking, with a Hirsch index of 18 (Web of Science and Scopus) and 20 (Google Scholar). She has been recognized with 15 national and international awards, including four UKW Rector’s Awards and three foreign medals for outstanding inventions. Dr. Rojek’s contributions extend to 20 grants and innovation projects, and she actively participates in the Manufacturing Engineering Committee of the Polish Academy of Sciences, where she chairs the Manufacturing Digitisation Section.

Professional Profile:

 

Suitability for Best Researcher Award:

Izabela Rojek is an exemplary candidate for the Best Researcher Award due to her outstanding contributions to the field of engineering sciences, particularly in Technical Informatics and Telecommunications. Her extensive publication record, high citation metrics, and significant involvement in national and international research projects highlight her impact on the field. Her leadership roles and innovative research further demonstrate her exceptional qualifications for this award.

Education:

  • Ph.D. in Engineering Sciences from Kazimierz Wielki University
  • D.Sc.Eng. (Doctor of Science in Engineering)
  • Associate Professor (Assoc. Prof.)

Work Experience:

  • Kazimierz Wielki University, Bydgoszcz
    • Head of the Department of Data Processing Methods and Tools
    • Dean of the Faculty of Computer Science

Additional Roles and Experience:

  • Member of the Manufacturing Engineering Committee of the Polish Academy of Sciences
  • Chair of the Manufacturing Digitisation Section of this Committee
  • Participation in the implementation of the IFS Applications IT system, including solution design, data migration, and training material preparation

Research and Contributions:

  • Authored 5 books and over 190 articles and chapters in monographs
  • Achieved over 6000 points in MNiSW (Polish Ministry of Science and Higher Education) evaluation
  • Total Impact Factor (IF) above 120
  • Hirsch index: h=18 (573 citations, Web of Science), h=18 (717 citations, Scopus), h=20 (1097 citations, Google Scholar)
  • Involved in 20 grants and innovation projects and 10 research topics
  • Recipient of 15 national and international awards, including 4 UKW Rector’s Awards and 3 foreign medals for outstanding inventions

Publication top Notes:

 

Enhancing 3D Printing with Procedural Generation and STL Formatting Using Python

Green Energy Management in Manufacturing Based on Demand Prediction by Artificial Intelligence—A Review

Use of Machine Learning to Improve Additive Manufacturing Processes

Review of the 6G-Based Supply Chain Management within Industry 4.0/5.0 Paradigm

Utilizing Selected Machine Learning Methods for Conicity Prediction in the Process of Producing Radial Tires for Passenger Cars

Ms. Hind MEZIANE | Artificial Intelligence | Best Scholar Award

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Ms. Hind MEZIANE | Artificial Intelligence | Best Scholar Award 

Ms. Hind MEZIANE, ACSA Lab, Faculty of Sciences, University Mohammed First, Oujda, Morocco

Hind Meziane is a dedicated researcher and Ph.D. candidate in Computer Science at the ACSA Laboratory, Department of Mathematics, Faculty of Sciences, Mohammed Premier University, Oujda, Morocco. Her academic journey began with a Baccalaureate in Science (Science Mathematics Option B) from Mehdi Ben Berka High School in Oujda in 2012. She then pursued higher education at Mohammed Premier University, obtaining a DEUG in Mathematics and Computer Science (2012-2014), a LICENSE in Mathematics and Computer Science (2014-2016), and a Specialized Master’s in Computer Engineering with Honors (2017-2019).

Professional Profile:

Summary of Suitability for Best Scholar Award

Hind Meziane is a highly accomplished researcher whose work primarily focuses on the security of Internet of Things (IoT) systems. She is currently pursuing a Ph.D. in Computer Science at Mohammed Premier University and has an impressive academic background, including a specialized master’s degree in Computer Engineering and a bachelor’s degree in Mathematics and Computer Science. Her research contributions are well-documented through various publications in reputable international journals and conference proceedings.

🎓 Education:

  • 2019-Present: Doctorate (PhD) in Computer Science at Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2017-2019: Specialized Master in Computer Engineering, with Honors, at Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2014-2016: LICENSE in Mathematics and Computer Science from Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2012-2014: DEUG in Mathematics and Computer Science from Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2011-2012: Baccalaureate in Science, Mathematics Option B from Mehdi Ben Berka High School, Oujda.

Publication top Notes:

A survey on performance evaluation of artificial intelligence algorithms for improving IoT security systems

A Comparative Study for Modeling IoT Security Systems

Modeling IoT based Forest Fire Detection System with IoTsec

A Study of Modelling IoT Security Systems with Unified Modelling Language (UML)

Classifying security attacks in iot using ctm method

Internet of Things: Classification of attacks using CTM method