Ebrahim Farrokh | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Ebrahim Farrokh
Amirkabir University of Technology, Iran

Ebrahim Farrokh
Affiliation Amirkabir University of Technology
Country Iran
Scopus ID 12790914600
Documents 55
Citations 985
h-index 14
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-0861-0909

Ebrahim Farrokh is an engineering researcher affiliated with Amirkabir University of Technology, Iran. The available bibliographic profile records 55 documents, 985 citations, and an h-index of 14. His publication record includes research addressing tunnel boring machine (TBM) performance, cutterhead configuration, disc cutter life, and mechanical rock excavation. These topics connect engineering analysis with practical optimization of underground construction systems.

Abstract

The research profile of Ebrahim Farrokh is centered on engineering problems associated with mechanized tunnelling and rock excavation. His documented publications examine TBM cutterhead design, disc cutter durability, operational parameters, and rotary cutting performance. Recent studies extend this work through data-driven assessment and integrated consideration of geological, operational, and machine-related variables. [1] [2]

Keywords

Tunnel boring machines; TBM cutterheads; disc cutters; underground construction; rock excavation; cutter life; rotary cutting; engineering optimization.

Introduction

Mechanized tunnelling requires coordination between geological conditions, machine configuration, cutting tools, and operational parameters. Research in this area can support decisions concerning cutterhead arrangements and tool performance. Farrokh’s listed publications address these engineering relationships through case-specific studies and broader assessment frameworks. [2] [3]

Research Profile

The recorded profile contains 55 documents, 985 citations, and an h-index of 14. Within Engineering, the publication themes represented in the supplied record include TBM performance enhancement, cutterhead modification, disc cutter life, and rotary cutting of granite. These themes indicate a research focus on engineering performance and optimization in excavation systems.

Research Contributions

  • Data-driven evaluation of TBM cutterhead opening-type selection. [1]
  • Integrated assessment of geological, operational, and machine parameters affecting disc cutter life. [2]
  • Assessment of cutterhead modification for EPB-TBM performance enhancement. [3]
  • Investigation of rotary cutting machine performance in Korean granite. [4]

Publications

Selected publications include Insights into cutterhead opening type selection: A data-driven study of TBM industry best practices, published in Tunnelling and Underground Space Technology (2027); Integrated assessment of geological, operational, and machine related parameters for optimization of TBM disc cutter life, in Results in Engineering (2026); EPB-TBM performance enhancement through cutterhead modification in Shiraz Metro Line 3, in Results in Engineering (2026); and A study of rotary cutting machine (RCM) performance on Korean granite, in Engineering Computations (2024). [1] [2] [3] [4]

Research Impact

The supplied bibliometric record reports 985 citations and an h-index of 14, providing quantitative indicators of scholarly visibility. [5] The publication themes also address applied engineering problems relevant to underground infrastructure, particularly TBM operation and cutting-tool performance. The available evidence supports describing the work in terms of documented publication activity and citation impact rather than attributing broader outcomes not established by the supplied records.

Award Suitability

For the Global Innovation Technologist Awards, the documented profile provides identifiable evidence across publication activity, citation metrics, and engineering-focused research. The selected works demonstrate sustained attention to TBM systems, cutterhead design, and excavation performance. These documented characteristics may be considered alongside the award’s applicable evaluation criteria and independently verified bibliographic information.

Conclusion

Ebrahim Farrokh’s supplied academic record presents an engineering research profile focused on mechanized tunnelling and rock excavation technologies. With 55 documents, 985 citations, and an h-index of 14, together with publications on cutterhead configuration, disc cutter life, and rotary cutting, the record provides measurable indicators of research activity and scholarly impact.

References

  1. Farrokh, E. (2027). Insights into cutterhead opening type selection: A data-driven study of TBM industry best practices. Tunnelling and Underground Space Technology.
    https://doi.org/10.1016/j.tust.2026.108139
  2. Farrokh, E. (2026). Integrated assessment of geological, operational, and machine related parameters for optimization of TBM disc cutter life. Results in Engineering.
    https://doi.org/10.1016/j.rineng.2026.112116
  3. Farrokh, E. (2026). EPB-TBM performance enhancement through cutterhead modification in Shiraz Metro Line 3. Results in Engineering.
    https://doi.org/10.1016/j.rineng.2025.108917
  4. Farrokh, E. (2024). A study of rotary cutting machine (RCM) performance on Korean granite. Engineering Computations.
    https://doi.org/10.1108/EC-08-2023-0462
  5. Elsevier. (n.d.). Scopus author details: Ebrahim Farrokh, Author ID 12790914600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=12790914600
  6. ORCID. (n.d.). Ebrahim Farrokh ORCID record.
    https://orcid.org/0000-0002-0861-0909
  7. Global Innovation Technologist Awards. (n.d.). Official award website.
    innovationtechnologist.com

Lickho Song | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Lickho Song
University of Electronic Science and Technology of China

Lickho Song
Affiliation University of Electronic Science and Technology of China
Country China
Scopus ID 8941541300
Documents 273
Citations 2,156
h-index 23
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-6874-1556

Lickho Song is an engineering researcher affiliated with the University of Electronic Science and Technology of China. The supplied bibliographic profile records 273 documents, 2,156 citations, and an h-index of 23. His listed research output includes mathematical analysis, information and communication theory, wireless sensor-network localization, and evolutionary optimization, illustrating a research portfolio spanning theoretical and applied engineering topics. The following profile summarizes the supplied publication and bibliometric information in the context of the Innovative Research Award.

Abstract

This academic recognition profile presents the documented research record supplied for Iickho Song, with emphasis on publication activity, citation indicators, and recent research topics. The profile identifies work in mathematical and computational analysis, wireless sensor networks, cooperative localization, evolutionary computation, and information theory. Four supplied publications from 2025–2026 provide recent examples of this research activity, including journal articles and a preprint. [1]

Keywords

  • Engineering research
  • Wireless sensor networks
  • Differential evolution
  • Information theory
  • Mathematical computation

Introduction

The supplied record places Song’s research at the intersection of engineering theory and computational applications. Recent publications address both formal mathematical evaluation and engineering problems involving communication, localization, and information representation. Such a combination is reflected in the publication record provided for this article, while bibliometric figures offer a quantitative description of the indexed research output. [2]

Research Profile

The profile supplied for the researcher reports 273 documents and 2,156 citations, with an h-index of 23. These indicators describe publication volume and citation activity within the indexed record and should be interpreted in relation to field, publication year, database coverage, and citation practices. The listed affiliation is the University of Electronic Science and Technology of China, and the stated subject area is Engineering.

Research Contributions

The supplied publications demonstrate several distinct research directions. Work on a subclass of the binomial integral examines a mathematical formulation through evaluation of the integral family Kp,r = ∫xp(1+x2)rdx. Another study applies multipopulation differential evolution to RSS-based cooperative localization in wireless sensor networks with limited communication range. A separate contribution examines rate-distortion analysis for composite sources under subsource-dependent fidelity criteria. [3]

Publications

  • Evaluation of a Subclass Kp,r = ∫xp(1+x2)rdx of the Binomial Integral, Mathematical and Computational Applications, 2026-09-16. [4]
  • Evaluation of a Subclass Kp,r = ∫xp(1+x2)rdx of the Binomial Integral, preprint, 2026-08-07. [5]
  • Multipopulation Differential Evolution for RSS-Based Cooperative Localization in Wireless Sensor Networks With Limited Communication Range, IEEE Sensors Journal, 2026-03-01. [6]
  • A Rate-Distortion Analysis for Composite Sources Under Subsource-Dependent Fidelity Criteria, IEEE Journal on Selected Areas in Communications, 2025. [7]

Research Impact

The supplied bibliometric record reports 2,156 citations and an h-index of 23 across 273 documents. These figures indicate a substantial indexed publication and citation record, although bibliometric indicators alone do not measure every dimension of research quality, originality, or societal influence. Recent publications in established engineering and mathematical venues provide additional evidence of continuing scholarly activity. [1]

Award Suitability

For the Innovative Research Award, the supplied record provides several documented indicators for consideration: a substantial indexed publication count, citation activity, an h-index of 23, and recent contributions spanning mathematical and computational engineering topics. The final recognition decision remains subject to the award’s formal evaluation criteria and independent verification of the underlying bibliographic records.

Conclusion

The supplied evidence presents Iickho Song as an engineering researcher with a broad indexed research record and recent publications addressing mathematical computation, wireless localization, evolutionary optimization, and information theory. The combination of 273 documents, 2,156 citations, and an h-index of 23 forms the principal quantitative context for this academic recognition profile.

References

  1. Elsevier. (n.d.). Scopus author details: Iickho Song, Author ID 8941541300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=8941541300
  2. ORCID. (n.d.). Iickho Song ORCID record.
    https://orcid.org/0000-0002-6874-1556
  3. IEEE. (2026). Multipopulation Differential Evolution for RSS-Based Cooperative Localization in Wireless Sensor Networks With Limited Communication Range. IEEE Sensors Journal.
    https://doi.org/10.1109/JSEN.2025.3631078
  4. MDPI. (2026). Evaluation of a Subclass Kp,r = ∫xp(1+x2)rdx of the Binomial Integral. Mathematical and Computational Applications.
    https://doi.org/10.3390/mca31050191
  5. Preprints.org. (2026). Evaluation of a Subclass Kp,r = ∫xp(1+x2)rdx of the Binomial Integral.
  6. IEEE. (2025). A Rate-Distortion Analysis for Composite Sources Under Subsource-Dependent Fidelity Criteria. IEEE Journal on Selected Areas in Communications.
    https://doi.org/10.1109/JSAC.2025.3559157
  7. Global Innovation Technologist Awards. (n.d.). Official Award Website.
    innovationtechnologist.com

Gul Durak | Engineering | Best Research Article Award

Published on by Innovation Technologist

Ms. Gul Durak | Engineering | Best Research Article Award

Yildiz Technical University | Turkey

Ms. Gul Durak is an industrial engineering professional with strong applied expertise at the intersection of air cargo logistics, operations management, and cost optimization, developed through extensive practice in a global airline and manufacturing environments. Her professional focus centers on operational efficiency, air cargo logistics systems, cost analysis, and financial decision-support, combining analytical rigor with real-world logistics performance needs. She has built advanced competence in evaluating operation costs, managing logistics workflows, supporting strategic negotiations, and contributing to company-level management decisions within complex, large-scale organizations. Her experience spans air cargo operations, logistics specialization, and engineering roles that emphasize data-driven optimization and performance improvement, supported by quantitative tools and optimization software. In parallel, her research orientation reflects a growing interest in industrial engineering methodologies, logistics finance, and decision-making models that enhance efficiency and sustainability in transportation and supply chain systems. She has contributed to cost optimization initiatives recognized for their impact, demonstrating an ability to translate analytical research into actionable operational improvements. Alongside professional practice, she actively engages with academic and industry communities through invited talks and knowledge-sharing activities, highlighting her commitment to bridging theory and practice. Her skill set includes advanced logistics analytics, negotiation, financial analysis, and operations research tools, complemented by multilingual communication abilities that support international collaboration. Overall, her profile reflects a practitioner-researcher perspective, combining industrial engineering research interests with hands-on expertise in air cargo logistics and cost-focused operational strategy.

Profiles: Scopus | Orcid 

Featured Publication

Durak, G., & Çetin Demirel, N. (2025). Cargo aircraft capacity optimization: A hybrid approach comprising a genetic algorithm and large neighborhood search. Applied Sciences, 15(22), 11988.