Numan Yalçın | Applied Mathematics | Innovative Research Award

Innovative Research Award

Numan Yalçın
Gumushane University

     Numan Yalçın
Affiliation Gumushane University
Country Turkey
Scopus ID 56368420200
Documents 7
Citations 60
h-index 4
Subject Area Applied Mathematics
Event International Popular Scientist Awards
ORCID 0000-0002-8896-6437

Numan Yalçın is an academic researcher affiliated with Gumushane University, Turkey, whose research profile is associated with the field of applied mathematics. According to the supplied bibliographic information, the researcher has 7 indexed documents, 60 citations, and an h-index of 4. These indicators provide a quantitative overview of scholarly activity and citation impact within the indexed research record. [1]

Abstract

This article presents an academic recognition profile for Numan Yalçın of Gumushane University, Turkey, in connection with the Innovative Research Award at the International Popular Scientist Awards. The profile identifies applied mathematics as the principal subject area and summarizes the supplied bibliometric indicators, including 7 indexed documents, 60 citations, and an h-index of 4. The recognition framework emphasizes research originality, methodological quality, scholarly contribution, and the relevance of mathematical research to broader scientific and applied contexts.

Keywords

Numan Yalçın; Applied Mathematics; Innovative Research Award; Mathematical Research; Research Innovation; Scholarly Impact; Gumushane University; Bibliometrics; International Popular Scientist Awards.

Introduction

Applied mathematics encompasses mathematical methods developed or employed to investigate problems arising in science, engineering, technology, economics, and other areas of knowledge. Research in the discipline frequently combines analytical reasoning, mathematical modeling, computational techniques, and theoretical development to address problems with identifiable scientific or practical significance.

Research Profile

Numan Yalçın is affiliated with Gumushane University in Turkey and is identified in the supplied data with Scopus Author ID 56368420200. The stated subject area is Applied Mathematics. The supplied Scopus metrics report 7 documents, 60 citations, and an h-index of 4. [1]

Research Contributions

The supplied information places Yalçın’s scholarly activity within applied mathematics. In this field, research contributions may take the form of new analytical techniques, extensions of mathematical models, improved solution methods, theoretical results with practical implications, or interdisciplinary applications of mathematical frameworks.

Publications

The supplied bibliometric record identifies 7 indexed documents associated with Scopus Author ID 56368420200. [1] The complete publication-level record should be consulted through the researcher’s indexed author profile for authoritative information concerning individual titles, publication dates, journals, co-authors, citation counts, and digital object identifiers.

Research Impact

The supplied record reports 60 citations and an h-index of 4. These metrics indicate that the indexed publication record has received measurable scholarly attention. [1] However, citation-based indicators should be interpreted in relation to disciplinary norms, publication age, database coverage, collaboration patterns, and the characteristics of the relevant research community.

Award Suitability

The Innovative Research Award is positioned as an academic recognition category for research demonstrating originality, methodological development, and meaningful scholarly contribution. Based on the supplied information, Numan Yalçın’s identification with applied mathematics and the reported indexed research record provide a basis for consideration within this category.

Conclusion

Numan Yalçın, affiliated with Gumushane University in Turkey, is presented in this academic recognition profile as an applied mathematics researcher associated with the Innovative Research Award. The supplied record reports 7 indexed documents, 60 citations, and an h-index of 4 under Scopus Author ID 56368420200. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Numan Yalçın, Author ID 56368420200. Scopus.
    https://www.scopus.com/pages/authors/56368420200
  2. ORCID. (n.d.). ORCID record: Numan Yalçın. ORCID.
    https://orcid.org/0000-0002-8896-6437
  3. Google Scholar. (n.d.). Numan Yalçın: Google Scholar profile.
    https://scholar.google.com/citations?user=YARXSdoAAAAJ&hl=en&oi=ao
  4. International Popular Scientist Awards. (n.d.). Popular Scientist Awards.
    https://popularscientist.com/

Hans Josef Pesch | Mathematics | Trailblazing Popular Scientist Award

Prof. Dr. Hans Josef Pesch | Mathematics | Trailblazing Popular Scientist Award

University of Bayreuth Germany

Prof. Dr. Hans Josef Pesch is a distinguished mathematician specializing in numerical analysis and optimal control. Born on August 1, 1949, in Dormagen, Germany, he has significantly contributed to computational mathematics in science and engineering. With a career spanning several prestigious institutions, he served as Chair of Mathematics in Engineering Sciences at the University of Bayreuth until his retirement in 2015. Currently, he is a Professor Emeritus, continuing his academic influence in optimization and applied mathematics.

Profile

Scopus

Google Scholar

Education 🎓

Prof. Pesch pursued his studies in Mathematics and Physics at the University of Cologne (1968–1974), earning a Diploma in Mathematics in 1974. He completed his Doctorate (Dr.rer.nat.) in 1978 at Munich University of Technology, followed by a Habilitation (Dr.rer.nat.habil.) in 1986. His early education included classical training in Latin and Greek, reflecting a strong foundation in analytical and logical reasoning.

Experience 🏛️

With a vast academic career, Prof. Pesch has held multiple prestigious positions:

  • University of Bayreuth (1999–2015): Full Professor and Chair of Mathematics in Engineering Sciences.

  • Clausthal University of Technology (1995–1999): Full Professor for Numerical Analysis and Scientific Computing.

  • Munich University of Technology (1989–1995): Associate Professor.

  • University of California, San Diego (1987): Visiting Professor.

  • University of the Armed Forces, Munich (1988–1989): Associate Professor.
    Throughout his tenure, he led Ph.D. programs, supervised over 170 master’s theses, 35 Ph.D. theses, and mentored postdoctoral researchers.

Research Interests 🔬

Prof. Pesch’s research revolves around optimal control theory, numerical analysis, and computational mathematics. He has worked extensively on real-time optimization, industrial process modeling, and optimal control of engineering systems. His contributions include applications in robotics, welding processes, fuel cell systems, and vehicle dynamics, impacting both academia and industry.

Awards & Honors 🏆

  • Recognition for his contributions to computational mathematics and optimal control.

  • Funding from prestigious institutions like the German National Science Foundation (GNSF), European Science Foundation (ESF), and the German Ministry of Research and Technology (BMBF).

  • Leadership roles in major doctoral programs and research networks.

Publications Top Notes: 📚

Prof. Pesch has authored two monographs, over 95 journal publications, and numerous conference papers. His work is widely cited, influencing advancements in mathematical optimization. Some of his key publications include:

Numerical treatment of delay differential equations by Hermite interpolation

Abort landing in the presence of windshear as a minimax optimal control problem, part 2: Multiple shooting and homotopy

Real‐time computation of feedback controls for constrained optimal control problems. part 1: Neighbouring extremals

Real‐time computation of feedback controls for constrained optimal control problems. part 2: A correction method based on multiple shooting

Abort landing in the presence of windshear as a minimax optimal control problem, part 1: Necessary conditions

Combining direct and indirect methods in optimal control: Range maximization of a hang glider

Complex differential games of pursuit-evasion type with state constraints, part 1: Necessary conditions for optimal open-loop strategies

The maximum principle of optimal control: a history of ingenious ideas and missed opportunities

A modified continuation method for the numerical solution of nonlinear two-point boundary value problems by shooting techniques

Comparing routines for the numerical solution of initial value problems of ordinary differential equations in multiple shooting