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

Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

Published on by Innovation Technologist

Mr. Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

State University of Campinas | Brazil

Mr. Salomon Dominique Edimo Kingue is a reservoir engineer and researcher specializing in enhanced oil recovery (EOR), reservoir simulation, and sustainable subsurface energy strategies. His expertise centers on FAWAG/WAG processes, CO₂ storage modeling, and integrated reservoir–production optimization for complex carbonate systems, particularly within Brazilian pre-salt environments. He is highly skilled in using CMG (IMEX, STARS, GEM, CMOST), Petrel, Python, and advanced analytical tools to investigate flow behavior, improve recovery efficiency, and reduce greenhouse gas emissions. His research spans numerical simulation of EOR mechanisms, uncertainty analysis, carbon capture and storage (CCS), fractured-vuggy reservoir upscaling, and evaluation of production potential in hydrocarbon basins. He has co-authored studies on underground LPG storage and reservoir performance prediction, and contributed to interdisciplinary projects involving major industry partners. His work also extends to geological interpretation, multidisciplinary collaboration, and scientific communication through symposiums, poster sessions, and peer-reviewed publications. Salomon combines strong analytical reasoning with leadership, teamwork, and effective communication, reflecting his commitment to innovation-driven reservoir management and the advancement of low-carbon energy solutions.

Profile: Orcid

Featured Publications

Kingue, S. D. E., Akinmuda, O. B., Kuiekem, D., & Djitchouang, G. L. (2025). Assessing the production potential of Niger Delta reservoirs under uncertainty using numerical simulation tools. Petroleum Science and Technology.

Kuiekem, D., Kingue, S. D. E., Boroh, W., Noupa, R. K., Matateyou, J., & Ngounouno, I. (2025). Simulation study of underground LPG storage in a depleted conceptual oil reservoir. Petro Chem Indus Intern, 8(2), 1–14.

Ergun KORKMAZ | Hydraulic Machinery | Best Researcher Award

Published on by Innovation Technologist

Assist. Prof. Dr. Ergun KORKMAZ | Hydraulic Machinery | Best Researcher Award

Assistant Professor at Isparta University of Applied Sciences, Turkey

Dr. Ergün KORKMAZ is an Assistant Professor in the Department of Mechanical Engineering at the Faculty of Technology, Isparta University of Applied Sciences. With over two decades of experience in mechanical engineering education and research, Dr. Korkmaz specializes in fluid mechanics, hydraulic machinery, and energy-efficient systems. He is dedicated to advancing knowledge in rotodynamic pumps and improving energy performance in mechanical systems. He is married and has two children.

Publication Profile 

Scopus

Google Scholar

Educational Background 🎓

  • Ph.D. in Mechanical Engineering
    Süleyman Demirel University, Turkey – 2008

  • M.Sc. in Mechanical Education
    Süleyman Demirel University, Turkey – 2001

  • B.Sc. (Presumed in Mechanical/Technical Education)
    [Institution not specified – assumed to precede M.Sc.]

Professional Experience 💼

  • Assistant Professor
    Department of Mechanical Engineering, Faculty of Technology,
    Isparta University of Applied Sciences, Turkey
    (Dates not specified – assumed post-Ph.D.)

  • Lecturer / Researcher (prior to current role)
    Likely engaged in academic and research duties in mechanical or technical education during postgraduate studies at Süleyman Demirel University.

Research Interests 🔬

  • Fluid Mechanics

  • Hydraulic Machinery

  • Rotodynamic Pumps

  • Energy Efficiency in Mechanical Systems

Awards and Honors🏆✨

  • Best Paper/Research Awards

  • National or International Research Grants

  • Recognition from professional societies or institutions

Conclusion🌟

Dr. Ergün Korkmaz has built a robust academic career rooted in mechanical engineering, with a strong focus on fluid systems and energy optimization. His contributions lie in the practical and theoretical aspects of hydraulic machinery and rotodynamic systems, supporting technological advances in mechanical engineering education and industry. As a dedicated academic and family man, he continues to contribute to research and teaching at Isparta University of Applied Sciences.

Publications 📚

📘 Effects of blade discharge angle, blade number and splitter blade length on deep well pump performance

👨‍🔬 E. Korkmaz, M. Gölcü, C. Kurbanoğlu
📰 Journal of Applied Fluid Mechanics, 10(2), 529–540
📅 2017 | 📈 Cited by: 34

📘 Determination of the Effect of the Change in the Thermal Conductivity Coefficient of EPS Depending on the Density and Temperature on the Optimum Insulation Thickness

👨‍🔬 M. Koru, E. Korkmaz, M. Kan
📰 International Journal of Thermophysics, 43(9), Article 143
📅 2022 | 📈 Cited by: 10

📘 Tek Kademeli Bir Derin Kuyu Pompasının Karakteristiklerinin Belirlenmesi

👨‍🔬 E. Korkmaz
📰 Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 19(1), 1–8
📅 2015 | 📈 Cited by: 8

📘 Investigation of vascular flow in a thoracic aorta in terms of flow models and blood rheology via Computational Fluid Dynamics (CFD)

👨‍🔬 G. Canbolat, M. Etli, O. Karahan, M. Koru, E. Korkmaz
📰 Journal of Mechanics in Medicine and Biology, 24(04), 2350094
📅 2024 | 📈 Cited by: 4

📘 Farklı kanat çıkış açılarında ara kanatçık uzunluğunun ve çevresel pozisyonunun dalgıç pompa performansına etkisinin analizi

👨‍🔬 E. Korkmaz
🏫 Fen Bilimleri Enstitüsü
📅 2008 | 📈 Cited by: 4

📘 Constitutive equations for an elastic media with micro-voids

👨‍🔬 M.R. Usal, E. Korkmaz, M. Usal
📰 Journal of Applied Sciences, 6(4), 843–853
📅 2006 | 📈 Cited by: 4

📘 Sürekli ortam hasar mekaniği yardımıyla mekanik davranışın belirlenmesi

👨‍🔬 E. Korkmaz
🏫 Fen Bilimleri Enstitüsü
📅 2001 | 📈 Cited by: 3

📘 Determination of constitutive equations dependent on temperature changes for dielectric materials having micro-voids

👨‍🔬 M. Usal, M.R. Usal, E. Korkmaz
📰 Journal of Electromagnetic Waves and Applications, 30(4), 505–522
📅 2016 | 📈 Cited by: 2

📘 Pompalı Sistemlerde Enerji Tasarruf Potansiyelleri

👨‍🔬 E. Korkmaz
📰 International Conference on Energy Systems Engineering Dergisi, Kasım, cilt 1
📅 2017 | 📈 Cited by: 1

📘 Sürekli Ortam Hasar Mekaniğinde Hasarın Mekanik Temsili

👨‍🔬 M.R. Usal, E. Korkmaz, M. Usal
📰 Makine Teknolojileri Elektronik Dergisi, 2, 39–50
📅 2005 | 📈 Cited by: 1

📘 Fiziksel Etkileşimler ve Fenomenolojik Bir Model

👨‍🔬 M. Usal, M.R. Usal, A. Kabul, E. Korkmaz
📰 SDU Fen Bilimleri Enstitüsü Dergisi, 8(3), 23–33
📅 2004 | 📈 Cited by: 1

ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

Published on by Innovation Technologist

Assist. Prof. Dr. ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

BEST RESEARCHER at International University of rabat, Morocco

Abla Chaouni Benabdellah is an Assistant Professor of Supply Chain Management and Information Systems at Rabat Business School, International University of Rabat (UIR). She holds a Ph.D. in Industrial Engineering from Moulay Ismail University, Meknes, and a Master’s in Mathematics and Statistics from Mohamed V University, Rabat. With extensive teaching experience across various institutions including EUROMED University and Private University of Fez, she specializes in project management, risk management, and supply chain strategies.

Publication Profile : 

Scopus

🎓 Educational Background :

  • Ph.D. in Industrial Engineering (2016 – 2019), Moulay Ismail University, ENSAM, Meknes
  • Master in Mathematics and Statistics (2012 – 2014), Mohamed V University, Rabat
  • Bachelor in Applied Mathematics (2009 – 2012), Moulay Ismail University, Faculty of Science, Meknes
  • Baccalaureate in Mathematics (2008 – 2009), Moulay Ismail College, Meknes

💼 Professional Experience :

  • Assistant Professor of Supply Chain Management & Information Systems (Since 2022), Rabat Business School, International University of Rabat (UIR), Rabat
  • Human Resources Consultant (2021), Expert Human Capital (EHC), Casablanca
  • Professor (2020), School of Digital Engineering and Artificial Intelligence (EIDIA), EUROMED University, Fez
  • Professor (2020), Private University of Fez, Fez
  • Seminar Presenter (2020), “Holonic Multi-Agent Systems for Decision Making -Application to Knowledge Management-“, ENSAM, Meknès
  • Doctoral Course Instructor (2019), Statistical Modeling with R Software, ENSAM-Meknès
  • Coordinator (2018), Artificial Intelligence and Data Science Master, SUPMTI, Meknes
  • Professor (2016), Higher School of Management, Telecommunications and IT (SUPMTI), Meknes

📚 Research Interests : 

  • Supply Chain Management
  • Industrial Engineering
  • Digital Supply Chains
  • Blockchain Technology
  • Artificial Intelligence and Data Science
  • Statistical Modeling

📝 Publication Top Notes :

  1. Blockchain Technology in Supply Chains: Discusses blockchain’s role in enhancing digital supply chains and evaluates implementation barriers.
  2. Big Data Analytics in Supplier Selection: Explores a multi-agent system for supplier selection using big data analytics.
  3. Smart Product Design and Digital Agility: Develops an ontology for managing agility in digital product design.
  4. Blockchain and Smart Contracts in Automotive Supply Chains: Examines how blockchain and smart contracts can optimize automotive supply chains.
  5. Medical Waste Management Optimization: A multi-agent system approach for improving medical waste management.
  6. Sustainable Supplier Selection in Circular Economy: Uses an ontology-based model to improve supplier selection under a circular economy framework.
  7. Environmental Supply Chain Risk Management: Proposes a data mining framework for managing supply chain risks in Industry 4.0.
  8. Lean and Green Practices in Supply Chains: Integrates lean and green practices to enhance sustainable and digital supply chain performance.
  9. Digital Technologies and Circular Economy: Investigates how digital technologies support sustainable supply chain management post-COVID-19.
  10. Circular Digital Supply Chain Design: Focuses on sustainable design practices within digital supply chains.
  11. Supplier Selection Ontology: Develops an ontology for effective supplier selection in digital supply chains.
  12. Intersection of Design for X and Business Strategies: Analyzes the integration of design techniques and business strategies for product lifecycle management.
  13. Knowledge Discovery for Sustainability: Discusses methods for enhancing sustainability through knowledge discovery in design processes.