Maciej Niedzwiecki | Robust Signal Processing | Best Academic Researcher Award


Prof. Maciej Niedzwiecki | Robust Signal Processing | Best Academic Researcher Award

Gdansk University of Technology | Poland

Maciej Niedzwiecki is a distinguished professor and head of the department of automatic control at
the faculty of electronics, telecommunications and computer science of Gdańsk University of Technology.
He earned his M.Sc. and Ph.D. in electrical engineering from Gdańsk University of Technology (both with honours)
and later obtained his habilitation in automatic control and robotics from the Technical University of Warsaw;
he holds the scientific title of professor of technical sciences. His work focuses on identification of
non-stationary processes and applications in adaptive signal processing and adaptive control, with
contributions to audio restoration, dynamic weighing of vehicles, navigation systems for the blind,
biomedical data analysis and more.

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Featured Publications

George kotsompolis | Econometrics | Best Researcher Award

Mr. George kotsompolis | Econometrics | Best Researcher Award

National Technical University of Athens | Greece

Author Profile 

Scopus 

Orcid 

Summary

George kotsompolis has built a strong academic foundation through his studies at the national technical university of athens, specializing in mathematical modeling, econometrics, and energy economics. his early academic pursuits focused on financial market dynamics, while his later research extended into forecasting, carbon pricing, and policy-oriented projects. through professional endeavors at universities and research institutions, he has demonstrated the ability to combine rigorous mathematics with real-world economic and energy challenges. his contributions, supported by published and forthcoming works, highlight his innovation and collaborative spirit. importantly, his active participation in academic teams reflects his role in facilitating newcomer socialization in the research community.

Early academic pursuits

George Kotsompolis began his academic journey at the national technical university of athens, where he pursued a diploma (meng) in applied mathematical & physical sciences. with a strong foundation in mathematical analysis, statistics, and computational methods, he demonstrated early promise in bridging theory with applied research. his diploma thesis, focused on economic dynamics and spillover effects in east asian financial markets using a novel markov-switching regime gvar model, showcased his ability to integrate mathematics with economics. these early academic pursuits established the basis for his later engagement with mathematical modeling, econometrics, and energy economics, while also laying the groundwork for his role in newcomer socialization within academic research environments.

Professional endeavors

Throughout his career, kotsompolis has expanded his expertise beyond the classroom into practical research. after completing his msc in mathematical modeling in modern technologies & financial engineering with distinction, he continued as a phd candidate at the national technical university of athens. he gained research experience at the athens university of economics and business under associate prof. dr. petros varthalitis, working on intangible leaders and laggards in the european union and eurozone. in parallel, he contributed to projects linking the labour and output gap to inflation, as well as serving as an intern at the national observatory of athens. these professional endeavors highlight his engagement with economic modeling, forecasting, and evidence-based policy analysis, key areas where he also supported the process of newcomer socialization for junior peers.

Contributions and research focus

Kotsompolis has contributed significantly to the fields of econometrics, time series analysis, and energy & environmental economics. his research includes developing and applying advanced mathematical methods to financial and energy markets. his works in progress, including introducing the markov switching regime global var model (msr-gvar): theory and evidence and forecasting carbon prices with arimax, xgboost, and lstm: a hybrid approach, reflect his commitment to methodological innovation. the key contributions of his research focus not only on advancing theoretical models but also on addressing real-world challenges in energy economics and forecasting under uncertainty. his innovative approaches to modeling place him in a unique position to foster newcomer socialization into multidisciplinary economic research.

Impact and influence

The impact of kotsompolis’ work extends across academia and policy-making. by combining econometric tools with machine learning techniques, he provides actionable insights into financial and energy markets. his research on carbon price forecasting and global economic spillovers holds implications for sustainable energy policy and financial stability. beyond academic citations, his influence is marked by his role in collaborative research teams, mentorship, and the encouragement of open dialogue among peers. his recognition through state scholarships foundation awards also reflects his growing reputation and the broader influence of his scholarly contributions.

Academic cites

Academic cites of his research demonstrate the relevance of his methodological innovations. his forthcoming publications in journals such as or spectrum and the journal of forecasting highlight his entry into reputable international outlets. these cites will serve as reference points for future research in mathematical modeling, econometrics, and energy economics. they not only validate his contributions but also reinforce his academic presence within the global research community.

Legacy and future contributions

The legacy of george kotsompolis lies in his dedication to bridging mathematics, economics, and energy studies. his work creates pathways for integrating classical econometric models with modern computational techniques. looking forward, his future contributions are expected to deepen understanding of financial markets, carbon pricing, and the role of energy economics in sustainable development. by inspiring peers and supporting research networks, he ensures continuity of knowledge transfer. as a rising scholar, his ongoing projects, combined with his emphasis on newcomer socialization, mark him as a promising academic leader shaping the future of applied economics.

Publications 

Title: Climate change economics and the determinants of carbon emissions’ futures returns: A regime-driven ARDL model
Author(s): Georgios Kotsompolis, K.N. Konstantakis, P. Xidonas, P.G. Michaelides, D.D. Thomakos
Journal: Finance Research Letters, 2023

 

Conclusion

in conclusion, george kotsompolis represents a new generation of scholars who merge mathematical rigor with applied economic insights. his academic cites and forthcoming publications in respected journals underscore the significance of his research, while his impact and influence extend toward evidence-based policy and interdisciplinary collaboration. with a legacy rooted in innovation and a vision for sustainable economic and energy solutions, he is poised to make enduring contributions to global scholarship. his commitment to research excellence, mentorship, and newcomer socialization ensures that his work will resonate across academic and professional spheres well into the future.

Mr. Syed Asghar Ali shah – Statistics – Best Researcher Award

Mr. Syed Asghar Ali shah - Statistics - Best Researcher Award

University of Peshawar - Pakistan

Author Profile 

SCOPUS 

🎓 Early academic pursuits

Syed Asghar Ali shah began his academic journey with a solid foundation in the sciences. after completing his s.s.c in 1998 with distinction in science, he pursued pre-engineering at the intermediate level. he later enrolled in b.sc with majors in statistics, mathematics-a, and physics from the university of peshawar in 2002. his passion for statistical sciences became evident when he completed m.sc in statistics (2005) and m.sc in economics (2022), both from the university of peshawar. further expanding his academic repertoire, he completed his ms in statistics with a cgpa of 3.38 from bku charsadda in 2018. currently, he is pursuing his ph.d. in statistics from the university of peshawar. throughout his educational journey, he maintained consistent academic excellence, which laid the groundwork for a multifaceted career.

🧑‍💼 Professional endeavors

Syed Asghar Ali shah holds the position of additional statistician/technical officer at the cereal crop research institute, pirsabak, nowshera. he began his professional journey as a lecturer in statistics in 2004 and has since held significant roles including assistant statistician at the agricultural research institute, tarnab. over the years, he also served in the federal bureau of statistics and contributed to islamabad model college for boys, h-9, as a lecturer. since december 2019, he has been instrumental in providing statistical and technical expertise for agricultural research. his career path reflects a progressive and dedicated commitment to agricultural statistics and experimental research.

📊 Contributions and research focus

Shah has played a pivotal role in designing experiments and conducting data analysis for agricultural scientists. one of his core research works during his ms program focused on “trends, variability and forecasting of major fruit crops production in khyber pakhtunkhwa.” his role as a focal person in the project “strengthening agriculture research activities and modeling Statistics experimentation of row crops” exemplifies his analytical strengths. this project involved complex data modeling that is closely aligned with the data-intensive approaches used in power electronics systems for process optimization. additionally, he has contributed to research-based reporting by preparing annual statistical reports at his institute.

🌐 Impact and influence

Shah’s influence extends beyond his department, as he has provided advisory services to researchers and students from various institutions, including agricultural universities. his mentorship Statistics and technical support in data analytics have significantly impacted agricultural productivity models. his interdisciplinary exposure—blending statistics, economics, and agricultural sciences—has enhanced the decision-making process in experimental design, similar to how power electronics integrates cross-functional knowledge to control energy flow efficiently.

🏅 Academic cites and achievements

He has been involved in multiple national-level training programs and workshops such as those hosted by parc, pakistan academy for rural development, and the university of agriculture faisalabad. he has actively participated and led sessions on quantitative research, social research methodology, and statistical analysis. his teaching experience at the graduate and Statistics postgraduate level further demonstrates his commitment to academic excellence and knowledge transfer. his thesis work in both statistics and education are also noteworthy academic contributions.

🔬 Legacy and future contributions

Shah’s career is marked by a continuous evolution in research and statistical applications. his current pursuit of a ph.d. highlights his dedication to academic growth and innovation in applied statistics. moving forward, he is poised to contribute further in areas such as data modeling, research methodology, and interdisciplinary analytics—especially in emerging fields where statistics meet technologies like power electronics in smart agricultural systems. he aims to foster a more integrated approach in statistical research for sustainable agricultural development.

Notable Publications 

Title: Optimal model for predicting highest runs chase outcomes in T-20 international cricket using modern classification algorithms
Author(s): Syed Asghar Ali Shah, Qamruz Zaman, Danish Wasim, Abdulmajeed Atiah Alharbi, Maha Shabbir
Journal: AEJ - Alexandria Engineering Journal, 2025