Andrey Mishin | Engineering | Breakthrough Research Award

Published on by Innovation Technologist

Breakthrough Research Award

Andrey Mishin
Varex Imaging Corporation, United States

Andrey Mishin is an engineering researcher and technology professional affiliated with Varex Imaging Corporation in the United States. His documented research and innovation activities include linear accelerator design, electron-beam technologies, microfocus accelerator systems, power couplers, and related engineering developments.

Andrey Mishin
Affiliation Varex Imaging Corporation
Country United States
Scopus ID 7007108128
Documents 10
Citations 39
h-index 3
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0009-0002-1393-0293

The profile combines scholarly publication activity with evidence of applied engineering and invention-oriented work. Available records include a 2025 magazine profile, an invention concerning linear accelerator power couplers and tuners, a journal article on microfocus linear accelerators, and a conference paper presented at IPAC 2025. These records provide the basis for assessing the relevance of the Breakthrough Research Award within an engineering and innovation context.

Abstract

Andrey Mishin’s documented professional and research record centers on engineering systems associated with linear accelerators and electron-beam technologies. His 2025 publication record includes work on microfocus linear accelerators and new linac designs, alongside an invention addressing power couplers, tuners, and associated methods. [1] [2] The available bibliometric profile records 10 documents, 39 citations, and an h-index of 3, providing a quantitative context for evaluating his emerging research impact.

Keywords

  • Linear accelerators
  • Electron-beam technology
  • Microfocus accelerators
  • Engineering innovation
  • Accelerator power couplers

Introduction

Linear accelerator engineering supports applications requiring controlled high-energy electron beams and compact radiation sources. Within this field, developments in accelerator architecture, coupling systems, tuning mechanisms, and microfocus configurations can contribute to improved system performance and application flexibility. Mishin’s documented work is situated within this technical landscape and is associated with Varex Imaging Corporation and its High Energy Sources R&D activities. [3]

Research Profile

The available bibliometric information identifies 10 documents and 39 citations, with an h-index of 3. These indicators describe a developing publication and citation footprint rather than the complete scope of an engineering professional’s contribution. The record should therefore be interpreted alongside patents, conference papers, technical publications, and other forms of applied innovation.

Research Contributions

A notable area of contribution is the development of microfocus linear accelerator technology. The 2025 e-Journal of Nondestructive Testing article describes new MicroBeam Linatron systems at Varex Imaging, connecting accelerator engineering with nondestructive testing applications. [4] Another documented contribution concerns power couplers, tuners, and methods for linear accelerators, demonstrating an invention-oriented dimension to the research record. [2]

Publications

  • Andrey Mishin: Designing Tomorrow’s Systems, One Electron Beam at a Time, Enterprise Wired, November 2025.[5]
  • LINEAR ACCELERATOR POWER COUPLERS, TUNERS, AND METHODS, USPTO, October 2, 2025. [2]
  • New Microfocus Linear Accelerators Called MicroBeam Linatron (MBL) at Varex Imaging, e-Journal of Nondestructive Testing, August 2025.[4]
  • New Linac Designs by High Energy Sources R&D Group at Varex Imaging, IPAC 2025, June 2025.[3]

Research Impact

The research record indicates impact across scholarly and applied engineering channels. Citations provide one measurable indicator, while the documented invention, conference contribution, and specialist publication demonstrate additional routes through which technical knowledge can be disseminated or translated into engineering practice. The combination is relevant to technology-development assessment, although bibliometric indicators alone do not establish commercial or technological success.

Award Suitability

The available evidence provides a reasonable basis for considering Mishin for a Breakthrough Research Award in an engineering-focused recognition program. The suitability is supported by documented work involving accelerator design, microfocus systems, and accelerator components, together with a measurable citation record. [1] The award assessment should remain evidence-based and distinguish documented research contributions from broader professional claims.

Conclusion

Andrey Mishin’s documented 2025 activities demonstrate an engineering research profile focused on linear accelerator and electron-beam technologies. His publications, conference contribution, and invention collectively indicate participation in applied accelerator development. With 10 documents, 39 citations, and an h-index of 3, the available bibliometric record provides a measurable foundation for recognition while leaving room for continued research impact and future scholarly development.

References

  1. Elsevier. (n.d.). Scopus author details: Andrey Mishin, Author ID 7007108128. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7007108128
  2. United States Patent and Trademark Office. (2025). LINEAR ACCELERATOR POWER COUPLERS, TUNERS, AND METHODS. Patent record.
  3. IPAC 2025. (2025). New Linac Designs by High Energy Sources R&D Group at Varex Imaging. Conference paper.
    https://inspirehep.net/files/83f7369a0b864416371b06a5f023d338
  4. e-Journal of Nondestructive Testing. (2025). New Microfocus Linear Accelerators Called MicroBeam Linatron (MBL) at Varex Imaging. DOI: 10.58286/31409.
    https://doi.org/10.58286/31409
  5. Enterprise Wired. (2025). Andrey Mishin: Designing Tomorrow’s Systems, One Electron Beam at a Time.
    https://enterprisewired.com/andrey-mishin-varex-imaging/
  6. ORCID. (n.d.). Andrey Mishin ORCID record.
    https://orcid.org/0009-0002-1393-0293

Jorge Teixeira | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Jorge Teixeira
Instituto Superior de Engenharia do Porto, Portugal

Jorge Teixeira
Affiliation Instituto Superior de Engenharia do Porto
Country Portugal
Documents 11
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0003-4598-5985

Jorge Teixeira is an engineering researcher affiliated with Instituto Superior de Engenharia do Porto whose documented work encompasses sustainable composite materials, high-pressure composite manufacturing, and electrochemical catalyst development. His publication record includes journal, conference, patent, disclosure, and thesis outputs, demonstrating activity across both academic research and applied technological development. The available record identifies 11 documents, while citation and h-index metrics are not currently available in the supplied data.

Abstract

The research profile of Jorge Teixeira reflects an interdisciplinary engineering orientation combining materials development, sustainable composites, advanced manufacturing, and electrochemical energy technologies. His documented outputs include research on PGM-free catalysts for oxygen evolution, anion exchange membrane electrolysis, post-deformable high-pressure composites, and sustainable thermomoldable materials. These activities indicate engagement with engineering challenges involving resource efficiency, materials performance, and emerging energy technologies. [1]

Keywords

  • Engineering
  • Sustainable composites
  • Electrolysis
  • Electrocatalysis
  • Advanced materials

Introduction

Teixeira’s documented research spans both fundamental and applied engineering. His work on catalyst systems addresses oxygen evolution under alkaline conditions and anion exchange membrane electrolysis, areas relevant to hydrogen-production technologies. [2] His materials research additionally addresses high-pressure composites and sustainable thermomoldable materials, linking material formulation with manufacturing and product development.

Research Profile

The supplied record lists 11 documents and identifies Engineering as the principal subject area. The portfolio contains peer-reviewed research, conference dissemination, intellectual property, technical disclosure, and graduate-level research. This diversity provides evidence of engagement with different stages of the research and innovation pathway.

Research Contributions

  • Investigation of melamine effects on PGM-free oxygen-evolution catalysts under alkaline conditions. [3]
  • Development of noble-metal-free trimetallic catalysts for anion exchange membrane electrolysis.
  • Development of post-deformable high-pressure composite manufacturing methods. [4]
  • Characterization of sustainable thermomoldable composite materials. [5]

Publications

Representative outputs include the 2026 Applied Sciences article “Effect of Melamine on the Oxygen Evolution Reaction Performance of PGM-Free Catalysts Under Alkaline Conditions,” published on 29 March 2026, with DOI 10.3390/app16073310. [3] Earlier outputs include a 2024 conference poster on trimetallic catalysts, a 2021 patent concerning post-deformable high-pressure composites, a 2020 disclosure associated with PCT/IB2020/062533, and a 2020 dissertation on sustainable thermomoldable composite materials.

Research Impact

The available publication portfolio demonstrates research activity connecting sustainable materials with energy-related engineering. The combination of scholarly publication and intellectual-property outputs suggests an orientation toward translating engineering research into practical technologies. Quantitative citation impact cannot be independently assessed from the supplied record because citation and h-index values were not provided.

Award Suitability

The profile presents several characteristics relevant to consideration for an Innovative Research Award, including interdisciplinary engineering activity, sustainable materials research, energy technology investigation, and applied innovation through patent activity. The assessment should nevertheless be considered alongside verified bibliometric indicators, peer recognition, technological outcomes, and independent evidence of research influence.

Conclusion

Jorge Teixeira’s documented research profile reflects a coherent engineering focus spanning sustainable composites, advanced manufacturing, electrocatalysis, and hydrogen-related technologies. The record provides a substantive basis for academic recognition, while additional verified bibliometric information would strengthen a comprehensive evaluation of research impact.

References

  1. ORCID. (n.d.). Jorge Teixeira ORCID record.
    https://orcid.org/0000-0003-4598-5985
  2. Encontro Ciência 2024. (2024). Trimetallic catalyst without noble metals for Anion Exchange Membrane Electrolysis.
  3. MDPI. (2026). Effect of Melamine on the Oxygen Evolution Reaction Performance of PGM-Free Catalysts Under Alkaline Conditions. Applied Sciences, 16(7), 3310.
    https://doi.org/10.3390/app16073310
  4. WIPO. (2021). Method for the manufacture of post-deformable high-pressure composite and product obtained therefrom. Patent WO2021148872A1.
    https://www.sumobrain.com/patents/wipo/WO2021148872A1.html
  5. Instituto Superior de Engenharia do Porto. (2020). Desenvolvimento e caracterização de um material compósito termomoldável e sustentável.
    http://hdl.handle.net/10400.22/16901
  6. Scopus. (n.d.). Author search: Jorge Teixeira. Elsevier.
    Scopus Author Search

Shyamal Acharya | Engineering | Research Excellence Award

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Mr. Shyamal Acharya | Engineering | Research Excellence Award

Assistant Professor | Chittagong University of Engineering & Technology (CUET) | Bangladesh

Mr. Shyamal Acharya is an accomplished researcher and academic in Civil Engineering with a strong specialization in Water Resources Engineering, combining teaching excellence with applied research and consultancy experience. His scholarly work focuses on sustainable water management, hydrologic alteration, reservoir sedimentation, flood risk assessment, and performance evaluation of urban water supply systems, with particular relevance to the socio-economic and environmental context of Bangladesh. He has contributed peer-reviewed research published by internationally recognized publishers, addressing critical issues such as the impacts of hydraulic infrastructure on river systems and efficiency assessment of public water utilities. His research methodology integrates remote sensing, hydrological modeling, risk assessment frameworks, and institutional performance indicators to support evidence-based policy and engineering decisions. Alongside academic research, he has extensive professional experience in high-impact consultancy projects, including feasibility studies and structural design of port infrastructure, tourism development initiatives, dam stability assessments, and industrial water-related engineering solutions. His involvement in reservoir irrigation feasibility and flood mitigation studies reflects a strong commitment to climate resilience, food security, and sustainable infrastructure development. As an educator and mentor, he actively contributes to capacity building in water resources engineering and civil engineering practice. He is a Life Fellow of a national professional engineering body and maintains strong links with professional and development institutions, enabling effective knowledge transfer between academia, industry, and policy stakeholders. His profile demonstrates sustained contributions to research excellence, practical engineering impact, and national development priorities in water and environmental engineering.

Profile: Scopus

Featured Publications

Acharya, S. (2025). Performance assessment of a public water supply provider in Bangladesh. Urban Water Journal.

Zhiqi Wu | Engineering | Best Researcher Award

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Ms. Zhiqi Wu | Engineering | Best Researcher Award

Student at Anhui University of Science and Technology | China

Zhiqi Wu is a Master’s student in Electrical Engineering at Anhui University of Science and Technology, specializing in computer vision applications for intelligent coal gangue detection. His research emphasizes developing lightweight, high-performance models that improve automation and efficiency in mining operations. Zhiqi proposed a novel model integrating multispectral imaging with knowledge distillation, achieving a precision increase of up to 6% while reducing model size by 21.8%, enabling deployment on mobile and edge devices for real-time sorting. This approach advances intelligent coal industry practices by combining computational efficiency with practical industrial applicability. Zhiqi’s work exemplifies the translation of advanced AI techniques into actionable solutions for industrial automation, with a focus on scalability, accuracy, and sustainability. His contributions are recognized in the research community, with 1 citation for his published work, highlighting its impact and relevance. To date, he has contributed to 4 documents in his research portfolio, reflecting his engagement in ongoing innovation and knowledge dissemination. While his h-index currently stands at 1, it represents a promising start in a career dedicated to applied AI in mining technologies. Zhiqi continues to explore methods for optimizing computer vision systems in industrial contexts, advancing automation, operational safety, and resource efficiency. His work bridges theoretical research and practical deployment, positioning him as an emerging researcher making measurable contributions to intelligent mining technologies.

Profile: Scopus

Featured Publications

Yan, P. (2025). Transformer fault diagnosis based on LIF technology and COA-GRU algorithm. Engineering Research Express, 7(2), 25409.

Manas Ranjan Sethi | ECE | Best Researcher Award

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Mr. Manas Ranjan Sethi | ECE | Best Researcher Award

Research Scholar at NIT Silchar, India

Manas Ranjan Sethi is a dedicated academic professional currently pursuing a Ph.D. in Electronics and Instrumentation Engineering at NIT Silchar, with a strong focus on machine learning applications in fault diagnosis and energy systems. He holds an M.Tech in Electronics & Telecommunication from BPUT, Odisha and has over 12 years of teaching experience, having worked as an Assistant Professor at Gandhi Institute for Technology (GIFT) and as a Lecturer at Koustuv Institute of Self Domain, Bhubaneswar. His research interests include machine learning, signal processing, and sustainable energy systems, particularly in wind turbine diagnostics and emotion recognition using EEG signals. Manas has contributed to numerous journals, conferences, and book chapters, and he has earned distinctions such as qualifying CBSE-UGC NET and GATE. He is also skilled in technical tools, enjoys singing, and has a passion for reading.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Manas Ranjan Sethi is currently pursuing a Ph.D. in Electronics and Instrumentation Engineering at NIT Silchar (since March 2020). He holds an M.Tech in Electronics & Telecommunication (Specialization in Communication Engineering) from BPUT, Odisha (2012), with a CGPA of 8.20. He completed his B.E. in Electronics & Telecommunication from BPUT, Odisha, in 2006, securing a 62.19%. Additionally, he completed his +2 Science and Matriculation from MP Board, Madhya Pradesh.

💼 Professional Experience :

Manas has a rich academic career spanning over 12 years. He served as an Assistant Professor in the Electronics & Communication Engineering Department at Gandhi Institute for Technology (GIFT), Bhubaneswar, from November 2013 to March 2020. Prior to that, he worked as a Lecturer in the Electronics & Telecommunication Engineering Department at Koustuv Institute of Self Domain, Bhubaneswar, from July 2007 to November 2013. He has a strong foundation in teaching and mentoring students in the field of Electronics and Communication Engineering.

📚 Research Interests : 

Manas’s research interests lie in the domains of Machine Learning, Signal Processing, and Fault Diagnosis. His work focuses on vibration signal-based diagnostics and energy extraction using wind turbines. He is passionate about leveraging machine learning techniques for predictive maintenance and condition monitoring. His recent research includes the application of meta-classifiers for diagnosing wind turbine blade faults and exploring emotion recognition through EEG signals.

🏆Achievements & Certifications :

Manas has earned several academic distinctions, including qualifying the CBSE-UGC NET (Electronic Science) in July 2018, and securing GATE scores of 260 (2016) and 218 (2011) in Electronics and Communication. He has also attended and contributed to various seminars, workshops, and short-term courses in fields such as VLSI Design, Microwave Filters, and Adaptive Signal Processing.

📝 Publication Top Notes :

  • Sethi, M. R., Subba, A. B., Faisal, M., Sahoo, S., & Koteswara Raju, D. (2024). Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal. Engineering Applications of Artificial Intelligence, 138, 109372.
  • Sethi, M. R., Sahoo, S., Dhanraj, J. A., & Sugumaran, V. (2023). Vibration Signal-Based Diagnosis of Wind Turbine Blade Conditions for Improving Energy Extraction Using Machine Learning Approach. Smart and Sustainable Manufacturing Systems, 7(1), 14–40.
  • Chatterjee, S., Sethi, M. R., & Asad, M. W. A. (2016). Production phase and ultimate pit limit design under commodity price uncertainty. European Journal of Operational Research, 248(2), 658–667.
  • Sethi, M. R., Parhi, S. S., Sahoo, S., Sugumaran, V., & Mohanty, S. R. (2023). Fault Diagnosis of Wind Turbine Blades Through Vibration Signal Using Filtered Cultivation Data: A Comparative Study. Proceedings of the 2023 IEEE Region 10 Symposium, TENSYMP 2023.
  • Kar, P., Hazarika, J., & Sethi, M. R. (2023). A Comparative Study between Supervised and Unsupervised Techniques for Two Class Emotion Recognition using EEG. Proceedings of the 2023 IEEE 8th International Conference for Convergence in Technology, I2CT 2023.
  • Banala, H. S., Sahoo, S., Sethi, M. R., & Sharma, A. K. (2023). Fault Diagnosis in Wind Turbine Blades Using Machine Learning Techniques. In R. Doriya, B. Soni, A. Shukla, & X. Z. Gao (Eds.), Machine Learning, Image Processing, Network Security and Data Sciences (Lecture Notes in Electrical Engineering, Vol. 946), 401–411. Springer, Singapore.
  • Sethi, M. R., Sahoo, S., Kanoongo, S., & Hemasudheer, B. (2022). A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Rule Classifier. Proceedings of the 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET 2022), 1–6. doi: 10.1109/ICEFEET51821.2022.9848401.
  • Sethi, M. R., Hemasudheer, B., Sahoo, S., & Kanoongo, S. (2022). A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Vibration Data through META Classifiers. Proceedings of the 2022 4th International Conference on Energy, Power, and Environment (ICEPE 2022), 1–5. doi: 10.1109/ICEPE55035.2022.9798026.