Suman | Mathematics | Innovative Research Award

Innovative Research Award

Suman
Guru Gobind Singh Indraprastha University, India.

Suman
Affiliation Guru Gobind Singh Indraprastha University
Country India
Google Scholar ID jYmTTr0AAAAJ
Documents 1
Subject Area Mathematics
Event International Academic Achievements & Awards

Suman is a researcher in mathematics affiliated with Guru Gobind Singh Indraprastha University, India. This article profiles the researcher in connection with the Innovative Research Award, presented under International Academic Achievements & Awards, based on a publication record indexed on Google Scholar.[1]

Abstract

This article presents an academic recognition profile of Suman, a mathematics researcher at Guru Gobind Singh Indraprastha University. The profile summarises the researcher’s scholarly focus on efficiency measurement and operations research, with particular reference to a review article on network data envelopment analysis.[2] It also considers the relevance of this work to the Innovative Research Award.

Keywords

Mathematics, operational research, data envelopment analysis, network DEA, efficiency measurement, innovative research.

Introduction

Data envelopment analysis (DEA) is a non-parametric method for assessing the relative efficiency of decision-making units that convert multiple inputs into multiple outputs. It was formalised in the late 1970s and has since become a standard tool in operational research.[3] Network DEA extends this approach by modelling the internal structure of a unit, allowing analysts to examine efficiency across interconnected stages instead of treating the unit as a single process. Suman’s published work belongs to this area of mathematical modelling.

Research Profile

Suman is affiliated with Guru Gobind Singh Indraprastha University in India, and the primary subject area is mathematics. According to the Google Scholar profile, the researcher currently has one indexed document, zero citations and an h-index of zero.[1] These figures describe an early-stage publication record. They are reported here as they appear and are subject to change as the work is indexed and cited.

Research Contributions

The principal contribution is a review article, co-authored with J. Dagar, that examines model innovation and applications in network data envelopment analysis.[2] Review articles help consolidate scattered methodological developments and clarify how network models differ from classical single-stage formulations. Such work can assist later researchers in choosing suitable models and identifying open questions in the field.

Publications

  • Malik, S., & Dagar, J. (2027). A review on model innovation and applications through network data envelopment analysis. Operational Research, 27(1), 14.[2]

Research Impact

The researcher’s bibliometric indicators are modest, which is consistent with a recently published first article. The impact of a review paper is typically measured over a longer period, as later studies adopt its classification of models. The topic of network efficiency analysis remains active in operational research, and the publication appears in an established journal in that discipline.[2]

Award Suitability

The Innovative Research Award recognises scholarly work that introduces or synthesises new ideas. Suman’s review of model innovation in network DEA fits this focus, as it addresses methodological development in a mathematical field with practical applications. Nomination is supported by the relevance of the topic, the choice of a peer-reviewed venue and the researcher’s emerging contribution to the literature.

Conclusion

Suman is an early-career mathematics researcher whose work on network data envelopment analysis contributes a structured review of an important efficiency-modelling approach. The publication record is still developing, and continued research output will clarify its long-term influence. The nomination for the Innovative Research Award reflects this emerging contribution.

References

  1. Google. (n.d.). Google Scholar profile: Suman. Google Scholar.
    https://scholar.google.co.uk/citations?user=jYmTTr0AAAAJ&hl=en&oi=ao
  2. Malik, S., & Dagar, J. (2027). A review on model innovation and applications through network data envelopment analysis. Operational Research, 27(1), 14. Springer.
    https://link.springer.com/article/10.1007/s12351-026-01116-2
  3. International Awards, (2026). International Academic Achievements & Awards.
    https://academicachievements.org/

Iqrar Raza | Mathematics | Best Researcher Award

Best Researcher Award

Iqrar Raza
Riphah International University, Pakistan

Iqrar Raza
Affiliation Riphah International University
Country Pakistan
Scopus ID 57362918100
Documents 14
Citations 58
h-index 5
Subject Area Mathematics
Event International Academic Achievements & Awards
ORCID 0009-0006-9823-288X

Iqrar Raza is a researcher in the field of mathematics affiliated with Riphah International University, Pakistan. His indexed scholarly output is recorded in the Scopus database under author identifier 57362918100.[1] This article summarises his research profile in connection with the Best Researcher Award at the International Academic Achievements & Awards event.

Abstract

This article presents an overview of the scholarly record of Iqrar Raza, a mathematics researcher at Riphah International University. According to Scopus, his profile comprises 14 documents, 58 citations and an h-index of 5.[1] The article reviews his research profile, contributions, publication record and measurable impact, and considers these elements in relation to the criteria commonly applied in researcher recognition programmes.

Keywords

  • Mathematics
  • Scholarly publications
  • Research metrics
  • Scopus-indexed research
  • Academic recognition

Introduction

Researcher recognition programmes generally evaluate candidates on the basis of verifiable scholarly output, citation performance and contribution to their discipline. Bibliographic databases such as Scopus provide standardised author-level indicators that support such evaluation.[3] Iqrar Raza is affiliated with Riphah International University in Pakistan and works in the subject area of mathematics. His work has been nominated in the context of the International Academic Achievements & Awards event, where the Best Researcher Award acknowledges research performance and academic commitment.

Research Profile

Iqrar Raza maintains a persistent digital identity through an ORCID record, which links his research activities and outputs to a unique identifier.[2] His Scopus author profile (ID 57362918100) lists 14 indexed documents within the subject area of mathematics.[1] The profile reflects sustained engagement with mathematical research and participation in the international scholarly literature.

Research Contributions

The research contributions of Iqrar Raza fall within the broad field of mathematics and are documented through peer-reviewed and indexed publications. Mathematical research typically advances the discipline through the development of theoretical results, analytical methods and models that may be applied in related scientific and engineering fields. His indexed documents contribute to this body of knowledge and have attracted citations from other researchers, indicating that the work has been read and referenced within the academic community.[1] Readers seeking specific titles, co-authors and publication venues may consult his Scopus and ORCID records.

Publications

Scopus currently records 14 documents attributed to Iqrar Raza.[1] Scholarly outputs may be cited and retrieved through Digital Object Identifiers (DOIs), which provide persistent links to published works. Individual publication details, including DOI links, are available through the author profiles listed in the external links section of this article.

Research Impact

Research impact is commonly assessed through citation counts and the h-index. An h-index of 5 indicates that at least five of the author’s documents have each received at least five citations.[3] With 58 total citations recorded in Scopus, the profile demonstrates measurable engagement by the wider research community.[1] These indicators should be interpreted alongside discipline-specific citation norms, since mathematics generally exhibits lower citation volumes than many other fields.

Award Suitability

The Best Researcher Award at the International Academic Achievements & Awards event is intended to acknowledge individuals who demonstrate research productivity, scholarly quality and contribution to knowledge. The profile of Iqrar Raza is consistent with these aims in several respects:

  • A verifiable Scopus author record with 14 indexed documents.[1]
  • A citation record of 58 citations and an h-index of 5.[1]
  • A persistent ORCID identifier supporting transparent attribution of work.[2]
  • An institutional affiliation with Riphah International University.

Conclusion

Iqrar Raza is a mathematics researcher whose publication and citation record is documented in Scopus and linked through ORCID. His indexed output, citation count and h-index provide an objective basis for consideration within the Best Researcher Award category at the International Academic Achievements & Awards event.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Raza, Iqrar, Author ID 57362918100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57362918100
  2. ORCID. (n.d.). Iqrar Raza (ORCID iD 0009-0006-9823-288X). ORCID.
    https://orcid.org/0009-0006-9823-288X
  3. Scopus . (n.d.). Analysis of laminar boundary-layer separation in retarded flow over bodies of revolution.
    https://www.sciencedirect.com/org/science/article/abs/pii/S0008420422000708
  4. Google Scholar. (n.d.). Theoretical analysis of convective transport over a slender body of revolution.
    https://www.tandfonline.com/doi/abs/10.1080/10407782.2023.2255928
  5. International DOI. (n.d.). Thermal transport in fluids of low Prandtl number over a rotating wavy disk with temperature-dependent thermal conductivity and non-uniform wall heating. DOI.org.
    https://www.sciencedirect.com/science/article/abs/pii/S0735193326019998

Mathias Raschke | Applied Mathematics | Outstanding Contribution Award

Dr. Mathias Raschke | Applied Mathematics | Outstanding Contribution Award

Risk Engineer at Freelancer (beside a job in industry), Germany

Dr. Mathias Raschke is an accomplished civil and structural engineer with extensive expertise in natural catastrophe (NatCat) modeling, risk assessment, and model development. With a Ph.D. from Bauhaus University Weimar, he has developed and validated earthquake, storm, and flood risk models across Europe, Africa, and Australia. His work spans academic research, reinsurance analytics, and commercial software development, including the creation of QuakeRisk. Dr. Raschke is highly skilled in stochastic modeling, statistical analysis, and the application of leading industry tools like RMS and AIR. He is an active member of several professional societies, including the German Society for Earthquake Engineering and Structural Dynamics, and contributes to innovation in both NatCat and emerging risk domains like cyber and credit modeling.

Academic Profile

SCOPUS

ORCID

Education

Dr. Mathias Raschke holds a Doctorate in Civil/Structural Engineering (Dr.-Ing.) from Bauhaus University Weimar, awarded in December 2003. His Ph.D. research focused on the correlation between earthquake intensity and building damage, and its application in seismic risk analysis, earning the distinction magna cum laude. Prior to that, he completed his Diplom-Ingenieur (Dipl.-Ing.) in Civil Engineering at Bauhaus University Weimar between 1993 and 1997, with a diploma thesis examining challenges in earthquake-resistant construction using traditional building methods in Central Asia. He began his academic journey with a pre-diploma in Construction Informatics from HAB (now Bauhaus University) from 1989 to 1992, where he concentrated on software development for the construction and civil engineering industries. His academic training combines a strong foundation in engineering, informatics, and risk modeling—laying the groundwork for his interdisciplinary expertise in natural catastrophe modeling.

Experience

Dr. Mathias Raschke is a seasoned expert in natural catastrophe (NatCat) modeling, with decades of experience across academia, reinsurance, and independent consultancy. Since 2003, he has worked as an independent scientist and freelancer, focusing on the development and distribution of QuakeRisk—a custom earthquake risk model and software—and publishing research on advanced modeling techniques in stochastic, actuarial, and geoscience journals. Most recently, he served as a NatCat Analyst and Director at Howden Re, and previously at Ecclesia Re, where he led the modeling and validation of German NatCat portfolios, as well as actuarial modeling in emerging areas like cyber, credit, and bond risks. Prior to that, he worked as a Senior Consultant and Modeler at R+V Re, contributing to AIR-based modeling and validation of catastrophe portfolios across multiple countries and perils. Dr. Raschke also has a strong academic and research background, having held senior scientist roles at ETH Zurich and IWSÖ Weimar, where he led projects on infrastructure vulnerability and flood risk under EU-funded initiatives. His early career includes a scientific appointment at Bauhaus University Weimar, where he conducted research on earthquake hazard and vulnerability, including field missions. With deep expertise in hazard, vulnerability, and financial modeling components, and hands-on experience with commercial platforms like RMS and AIR, Dr. Raschke is recognized for his innovative problem-solving, technical rigor, and cross-disciplinary insights into catastrophe risk.

Research Interests

Dr. Mathias Raschke’s research interests lie at the intersection of natural catastrophe (NatCat) modeling, risk assessment, and engineering-based hazard analysis. He is particularly focused on the development and validation of probabilistic and stochastic models for perils such as earthquakes, floods, and storms, integrating physical hazard data with statistical and actuarial approaches. His work encompasses all components of catastrophe modeling—from hazard characterization and vulnerability assessment to financial impact analysis—aiming to enhance both scientific understanding and practical applications in insurance and risk management. In recent years, he has expanded his interests to include emerging risks such as cyber threats and credit & bond modeling. He is also dedicated to advancing novel computational methods, such as integral-differential interpolation and combined return period modeling, and applying GIS and software development tools for spatial and systemic risk modeling. His research reflects a strong commitment to bridging engineering science with real-world solutions for disaster resilience and insurance risk evaluation.

Publications 📚 

Modelling maximum cyber incident losses of German organisations: an empirical study and modified extreme value distribution approach

Integral-Differential Interpolation of Grid Cell Information

Spatiality in Hazard Models for European Windstorms

About the return period of a catastrophe

Conclusion

Dr. Mathias Raschke stands out as an eminent candidate for the Outstanding Contribution Award owing to his innovative research, technological leadership, and broad societal impact in natural catastrophe modeling. His body of work not only advances academic science but also fortifies global resilience to disaster risks, fulfilling the very spirit of this prestigious honor.