Assoc. Prof. Dr. Peter Sevcik | Predictive | Best Researcher Award

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Assoc. Prof. Dr. Peter Sevcik | Predictive | Best Researcher Award 

Assoc. Prof. Dr. Peter Sevcik | Predictive | University of Zilina | Slovakia

Assoc. Prof. Dr. Peter Sevcik is a highly accomplished academic and researcher in the field of Technical Cybernetics, Embedded Systems, and Sensing Technologies, with a strong professional foundation built at the University of Žilina, Slovakia, where he currently serves as the Head of the Department of Technical Cybernetics under the Faculty of Management Science and Informatics. He earned his Ph.D. in Engineering from the University of Žilina, developing expertise that bridges intelligent sensing systems, cybernetics, and computational informatics. Throughout his academic journey, Assoc. Prof. Dr. Peter Sevcik has demonstrated excellence in teaching, research, and innovation, contributing significantly to the university’s research culture through leadership and collaborative initiatives. His professional experience includes long-standing engagement in research and academic administration, overseeing advanced projects that integrate Internet of Things (IoT), wireless sensor networks, energy harvesting systems, and smart automation. His research interests revolve around low-cost sensing solutions, predictive maintenance, digital MEMS sensor development, UAV-based environmental monitoring, and embedded software systems. Dr. Sevcik’s technical proficiency extends to system modeling, cyber-physical system design, embedded programming, IoT architecture development, and advanced signal processing. His scholarly work is widely published in prestigious IEEE, Scopus, and CrossRef-indexed journals, such as Sensors, Energies, and Concurrency and Computation: Practice and Experience, reflecting a consistent contribution to advancing the field of smart sensor technologies. In recognition of his scholarly achievements, Assoc. Prof. Dr. Peter Sevcik has received numerous professional honors and has been an invited collaborator on international research projects focusing on sustainable sensing, autonomous monitoring systems, and intelligent control.

Professional Profiles: ORCID  

Featured Publications 

  1. Kolok, P., Hodoň, M., Ševčík, P., Hotz, L., & Remy, N. (2025). Low-cost IoT-based predictive maintenance using vibration sensors. Sensors. Cited by 25.

  2. Sevcik, P., Sumsky, J., Baca, T., & Tupy, A. (2025). Self-sustaining operations with energy harvesting systems. Energies. Cited by 19.

  3. Formanek, L., Olesnanikova, V., Sarafin, P., & Sevcik, P. (2023). An innovative learning system for interconnected embedded systems. EDULEARN Conference Proceedings. Cited by 12.

  4. Hodoň, M., Ševčík, P., Kapitulík, J., & Danišovič, P. (2023). Embedded software development with a mobile robot. EDULEARN Conference Proceedings. Cited by 10.

  5. Formanek, L., Olesnanikova, V., Sarafin, P., & Sevcik, P. (2023). Prototype for measuring and predicting air quality using UAVs. EDULEARN Conference Proceedings. Cited by 9.

  6. Hodoň, M., Ševčík, P., Kapitulík, J., & Danišovič, P. (2023). Robot car – learning by doing. EDULEARN Conference Proceedings. Cited by 8.

  7. Hodoň, M., Karpiš, O., Ševčík, P., & Kociánová, A. (2021). Which digital-output MEMS magnetometer meets the requirements of modern road traffic survey? Sensors. Cited by 45.

Assist Prof Dr. Jamil J. Jaber | Predictive Modeling Award | Best Researcher Award

Posted on by Global Sensor Awards

Assist Prof Dr. Jamil J. Jaber | Predictive Modeling Award | Best Researcher Award

Assist Prof Dr. Jamil J. Jaber , Applied Science Private University, Jordan

Dr. Jamil J. Jaber is an Assistant Professor in the Department of Finance at The University of Jordan, Aqaba branch. Born on July 19, 1985, in Jordan, he holds a Ph.D. in Statistics with a specialization in Actuarial Statistics and Credit Risk from Universiti Kebangsaan Malaysia (UKM), where he earned the Central Bank of Jordan & Hussein Fund for Excellence award for the best Ph.D. dissertation in the Finance and Banking Sector. Dr. Jaber also holds a Master’s degree in Finance and Investment from Hashemite University and a Bachelor’s degree in Actuarial Science from the University of Jordan. With extensive experience in academia, Dr. Jaber has served as an Assistant Professor at the Applied Science Private University since September 2023, where he teaches undergraduate and graduate courses in Banking, Finance, FinTech, and Risk Management. He has also held instructor positions at The University of Jordan and Hashemite University, where he taught various courses related to financial risk management and insurance.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Dr. Jamil J. Jaber demonstrates exceptional qualifications and achievements that make him a strong candidate for the Best Researcher Award. His extensive academic and research background, particularly in the areas of actuarial statistics and financial risk management, underscores his expertise and impact in the field.

Education:

  1. PhD in Statistics (Actuarial Statistics and Credit Risk)
    • Institution: Universiti Kebangsaan Malaysia (UKM), Malaysia
    • Completion Date: August 2021
    • CGPA: Excellence
    • Dissertation Title: “Modeling of Corporate Credit Risks using Actuarial Techniques”
    • Note: UKM is ranked 129th in QS World University Rankings 2022/2023 and 141st in 2021/2022.
  2. Master in Finance and Investment
    • Institution: Hashemite University, Zarqa, Jordan
    • Completion Date: August 2010
    • CGPA: Excellence
  3. Bachelor in Actuarial Science
    • Institution: University of Jordan, Amman, Jordan
    • Completion Date: June 2007
    • CGPA: Very Good

Work Experience:

  1. Assistant Professor in Actuarial Statistics and Financial Risk
    • Institution: Division of Banking and Finance, The Applied Science Private University, Jordan
    • Duration: September 2023 – Present
    • Responsibilities:
      • Teaching undergraduate programs such as BA in Banking and Finance Management, BA in Financial Technology (FinTech), and risk management.
      • Teaching graduate programs such as MA in Finance and Risk Management.
  2. Instructor in Risk Management and Insurance / Finance
    • Institution: Department of Finance, The University of Jordan, Jordan
    • Duration: September 2012 – Present
    • Courses Taught:
      • Financial Risk Management
      • Credit Management
      • Financial Derivatives
      • Portfolio Management
      • Investment Management
      • Risk Assessment
      • Computer Applications for Finance and Risk Management
      • Essentials of Actuarial Sciences
      • Special Topics in Risk Management and Insurance
      • Insurance Companies Management
      • Property and Liability Insurance
      • Life and Health Insurance
      • Principle of Insurance
      • Sampling Theory and its Application
  • Actuarial Consultation
    • Actuarial and Financial Study for various associations and councils, including the Jordan Nurses and Midwives Council, Jordanian Geology Association, and Jordanian Dental Association.
    • Consultation on Actuarial Statistics, including comprehensive evaluations in collaboration with the United States Agency for International Development (USAID) and the Ministry of Investment in Jordan.
  • Academic Experience:
    • Member of the proceedings and scientific committee for the 5th International Conference on Mathematical Sciences (ICMS5 2023) at Universiti Kebangsaan Malaysia (UKM), Malaysia.
    • Contributor to the planning and scientific committees for undergraduate programs at the Department of Finance, The University of Jordan, Jordan (2013 – Present).

Publication top Notes:

Evaluation of Total Risk-Weighted Assets in Islamic Banking through Fintech Innovations

Enhancing Predictive Accuracy through the Analysis of Banking Time Series: A Case Study from the Amman Stock Exchange

Multi-Layer Perceptron-Based Classification with Application to Outlier Detection in Saudi Arabia Stock Returns

Enhancing Predictive Accuracy of Insurance Stock Market in Jordan using Hyprid GFS.Thrift Model: A Genetic Fuzzy System-based Fintech Approach

Selection process real-life application for new type complex neutrosophic sets using various aggregation operators

A predictive modeling for health expenditure using neural networks strategies