Wiktor Jakowluk | Robotics and Automation | Research Excellence Award

Assist. Prof. Dr. Wiktor Jakowluk | Robotics and Automation | Research Excellence Award

Assistant Professor | Bialystok University of Technology | Poland

Assist. Prof. Dr. Wiktor Jakowluk is an emerging scholar at the Bialystok University of Technology whose research focuses on advanced system identification, optimal input signal design, and application-oriented modeling for dynamic and control systems. His work explores closed-loop identification, application-oriented spectrum design, and robust modeling approaches that support modern predictive control and intelligent automation. His research interests include dynamic system identification, experiment design, adaptive control strategies, fractional-order modeling, and data-driven optimization for engineering processes. Dr. Jakowluk’s research skills span mathematical modeling, simulation-driven validation, algorithmic optimization, MATLAB-based system analysis, and the development of innovative methodologies for identifying nonstationary or complex dynamic structures. Although no formal awards or grants are listed, his scholarly impact within the control engineering community is demonstrated through international collaborations, peer-reviewed publications, and contributions to open-access research. According to Scopus, he has 60 citations, 15 indexed documents, and an h-index of 4, reflecting steady and growing influence in the fields of system identification and control engineering. His work continues to advance practical and application-oriented identification techniques that support reliable, efficient, and high-performance control systems. Dr. Jakowluk’s research trajectory highlights his commitment to bridging theory and engineering practice, contributing valuable methods that strengthen modeling accuracy and intelligent system design.

Citation Metrics (Scopus)

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60

40

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Citations
60

Documents
15

h-index
4

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Featured Publications


Plant friendly input design for parameter estimation in an inertial system with respect to D-efficiency constraints

– Entropy 16(11), 5822–5837, 2014 (11 citations)


Design of an optimal input signal for plant-friendly identification of inertial systems

– Przegląd Elektrotechniczny 85(6), 125–129, 2009 (11 citations)


Optimal input signal design for fractional-order system identification

– Bulletin of the Polish Academy of Sciences: Technical Sciences 67(1), 37–44, 2019 (10 citations)


Free final time input design problem for robust entropy-like system parameter estimation

– Entropy 20(7), 528, 2018 (10 citations)


Design of an optimal excitation signal for identification of inertial systems in time domain

– Przegląd Elektrotechniczny 85(6), 125–129, 2009 (9 citations)

 

 

Jorge Francisco Aguirre-Sala | Artificial Intelligence | Breakthrough Research Award

Dr. Jorge Francisco Aguirre-Sala | Artificial Intelligence | Breakthrough Research Award

Profesor-Investigador | Universidad Autónoma de Nuevo León | Mexico

Dr. Jorge Francisco Aguirre-Sala is a leading scholar in digital democracy, civic participation, and the ethical–political implications of emerging technologies, recognized for his influential contributions across Latin America. His research focuses on electronic democracy, citizen engagement through social media, digital governance, crime prevention using ICT, hermeneutics, and the ethical challenges of artificial intelligence. He is skilled in interdisciplinary analysis, qualitative political research, evaluative methodologies, and the integration of ecological ethics with digital policy. His body of work spanning topics such as liquid democracy, participatory budgeting, and digital transformation of the state has earned him strong academic impact and international visibility. Dr. Aguirre-Sala has received multiple recognitions for his contributions to political philosophy, digital participation models, and public policy innovation. According to Scholar metrics, he has 786 citations, 27 documents, and an h-index of 15, reflecting sustained scholarly influence across his fields of expertise. His work continues to advance democratic quality by bridging technology, ethics, and participatory governance, offering forward-looking insights into how digital tools reshape citizenship and state–society relations.

Citation Metrics (Google Scholar)

850

650

450

250

0

Citations
786

Documents
27

h-index
15

                           Citations
        Documents
       h-index


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Featured Publications