Marija Cundeva-Blajer | Calibration Awards

Prof. Dr. Marija Cundeva-Blajer | Calibration Awards | Best Researcher Award 

Prof. Dr. Marija Cundeva-Blajer, Ss. Cyril and Methodius University in Skopje, Faculty of Electrical Engineering and IT, Macedonia.

Marija Cundeva-Blajer is a distinguished professor and researcher specializing in metrology, electrical engineering, and quality infrastructure. With over 25 years of academic and professional experience, she has contributed significantly to international projects, scientific research, and education in electrical measurements, instrumentation, and metrology. She leads the accredited Calibration Laboratory for Electrical Measurements and serves as the head of the PhD Council in Metrology at Ss. Cyril & Methodius University in Skopje. Her extensive international collaborations, numerous scientific publications, and active roles in professional bodies underscore her dedication to advancing metrology and quality science globally.

Professional Profile

Google Scholar

Researcher Suitability Summary for Best Researcher Award 

Marija Cundeva-Blajer is a distinguished researcher with an impressive track record in metrology, electrical engineering, and power systems. Her contributions to academia, industry, and international standards are of great value. She demonstrates exceptional leadership in shaping the future of metrology through her roles in teaching, research, and international collaborations. Her strong academic background, global research experience, and leadership positions make her an outstanding candidate for the Best Researcher Award.

🎓 Education

  1. Primary & Secondary Education
    • 1988: Completed primary school in Skopje, North Macedonia.
    • 1991: Graduated from secondary school in Skopje.
  2. Higher Education
    • 1996: Earned a University Degree in Electrical Engineering (Industrial Power Engineering & Automation) from Ss. Cyril & Methodius University, Skopje.
    • 2000: Attained a Master of Science (MSc) degree in Electrical Measurements and Materials from the same institution.
    • 2004: Awarded a Doctor of Technical Sciences (DSc), focusing on advanced metrology and electrical engineering.

💼 Experience

Academic Career

  • Full Professor at Ss. Cyril & Methodius University, with 27 years of tenure.
  • Head of the Calibration Laboratory for Electrical Measurements and the PhD Council in Metrology.

International Contributions

  • Extensive experience leading EU-funded projects such as TEMPUS and IPA programs.
  • Over 25 years of expertise with ISO/IEC standards for conformity assessments and quality management systems.

Professional Engagement

  • Expert evaluator for EURAMET, EC EACEA, and COST.
  • Guest Editor and Reviewer for prominent journals like Elsevier Measurement and Acta IMEKO.

🔬 Research Interests

Marija’s research focuses on:

  • Metrology and Calibration: Advancing measurement accuracy for electrical and non-electrical quantities.
  • Power Engineering: Development of innovative methods in industrial applications.
  • Quality Infrastructure: Implementing ISO/IEC standards in testing and calibration labs.
  • Mathematical Methods in Engineering: Utilizing FEM and genetic algorithms in metrology.

🏆 Awards

  • DAAD Scholarships: Multiple awards for research stays in Germany.
  • Recognized as a reviewer and evaluator for international scientific and educational projects.
  • Appointed to the Committee for the “Successful Young” award by the President of North Macedonia.

📚 Publications Top Notes

Calibration for industry 4.0 metrology: touchless calibration

CITED: 26

Measurement of the influence of household power electronics on the power quality

CITED: 20

Genetic algorithm coupled with FEM‐3D for metrological optimal design of combined current‐voltage instrument transformer

CITED: 16

Nonlinear Electromagnetic Transient Analysis of Special Transformers

CITED: 14

Improvement of the FEIT laboratory of electrical measurements best CMC through internationally traceable calibrations and inter-laboratory comparisons

CITED: 12

Relationship of Epstein to SST results for grain-oriented steel

CITED: 12

Defining an uncertainty budget in electrical power and energy reference standards calibration

CITED: 10

 

Prof. Steven Weidong Su | Sensor Calibration Awards | Best Researcher Award

Prof. Steven Weidong Su | Sensor Calibration Awards | Best Researcher Award

Prof. Steven Weidong Su, Shandong First Medical University, China

Associate Professor Steven Su is a dedicated educator and researcher based in Sydney, NSW, with extensive experience in developing and delivering high-quality educational programs within the Faculty of Engineering at the University of Technology Sydney (UTS). He holds a Ph.D. in Statistical Optimization from the Australian National University and has a strong academic foundation with Master’s and Bachelor’s degrees in Automation Engineering from Harbin Institute of Technology, China. With a proven track record of positively engaging a diverse range of students, Steven has supervised numerous research activities and provided an environment where students can thrive. His research expertise encompasses wearable monitoring devices, machine learning, robotic modeling and control, and smart sensing within the Internet of Things. Currently serving as the Associate Dean of Teaching and Education at Shandong First Medical University, he oversees academic programs for 3,000 students and 130 faculty members.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: 

Associate Professor Steven Su is a distinguished academic with a wealth of experience and a proven track record in both research and teaching within the Faculty of Engineering at the University of Technology Sydney (UTS) and currently at Shandong First Medical University. His extensive expertise in engineering, particularly in areas such as wearable devices, machine learning, and robotic control, positions him as a highly suitable candidate for the Best Researcher Award.

Education:

  • Ph.D. in Statistical Optimisation and its Application in Modelling and Control
    Australian National University (ANU)
  • Master of Engineering in Automation Engineering
    Harbin Institute of Technology, China
  • Bachelor of Engineering in Automation
    Harbin Institute of Technology, China

Research Expertise and Interests

  • Wearable/portable monitoring devices and systems
  • Machine learning
  • Robotic modeling and control
  • System control and modeling for wearable systems
  • Internet of Things
  • Smart sensing

Work Experience

  • August 2022 – Present: Associate Dean (Teaching and Education)
    College of Medical Artificial Intelligence and Big Data, Shandong First Medical University (Shandong Academy of Medical Sciences)

    • Overseeing academic programs involving 3,000 students and 130 faculty members.
  • 2023 – Present: Course Coordinator, Mathematical Optimization (MO8C10004)
    • Coordination, lecturing, and tutoring for a postgraduate course at Shandong First Medical University, China.
  • September 2023 – November 2023: Course Coordinator, Artificial Intelligence and Intelligent Medical Equipment (2022TH24)
    • Coordination, lecturing, and tutoring for an undergraduate general education course at Shandong First Medical University, China.
  • Ongoing: Development of two master’s programs: “Clinical Intelligent Technology” and “Electronic Information.”
  • 2008-2022: Director, Postgraduate Coursework Program in Computer Control Engineering (MAJ03430)
    University of Technology Sydney (UTS)
  • 2012-2021: Director, Postgraduate Coursework Program in Biomedical Engineering (MAJ03476)
    University of Technology Sydney (UTS)
  • 2017-2021: Course Coordinator, Biomedical Instrumentation (49261)
    • Coordination, lecturing, and tutoring.
  • 2014-2021: Course Coordinator, Biomedical Signal Processing (42906)
    • Coordination, lecturing, and tutoring.
  • 2016-2021: Course Coordinator, Biomedical and Assistive Devices Studio (41164)
    • Coordination, lecturing, and tutoring.

Publication top Notes:

Experimental Design for the Inclination-Based Linear Magnetometers Calibration Method

Numerical Differentiation From Noisy Signals: A Kernel Regularization Method to Improve Transient-State Features for the Electronic Nose

In-field gyroscope autocalibration with iterative attitude estimation

Optimal Experimental Design for In-Field Calibration of a Nine-Parameter Triaxial Magnetometers Model

Cooperative Markov Decision Process model for human–machine co-adaptation in robot-assisted rehabilitation

Spatiotemporal Compliance Control for a Wearable Lower Limb Rehabilitation Robot