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

Rahul Charles C M | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Rahul Charles C M
College of Engineering Muttathara, India
Rahul Charles C M
Affiliation College of Engineering Muttathara
Country India
Google Scholar ID 25ggLCsAAAAJ
Documents 8
Citations 68
h-index 4
Subject Area Engineering
Event Global Innovation Technologist Awards

The Innovative Research Award recognizes research activity demonstrating meaningful contributions to technological and engineering development. Rahul Charles C M, affiliated with the College of Engineering Muttathara, has developed a research profile centred on electric vehicles, power electronic converters, renewable energy systems, electrical machines and energy storage technologies. His published works reflect continued engagement with applied engineering challenges associated with sustainable mobility and modern power systems.[1]

Abstract

Rahul Charles C M is an engineering researcher whose scholarly work addresses power electronics, renewable energy integration, electric vehicle technologies and electrical energy storage. His research output includes studies on bidirectional DC-DC converters, doubly fed induction generators and hybrid energy storage systems. These areas are relevant to the development of efficient and sustainable electrical transportation and power generation infrastructure.[2]

Keywords

Electric Vehicles; Power Electronics; Renewable Energy; Wind Energy Systems; Energy Storage; DC-DC Converters; Electrical Engineering.

Introduction

Engineering research increasingly requires integrated approaches to energy efficiency, renewable generation and intelligent power conversion. Rahul Charles C M has contributed to this broader field through research examining electrical machines, energy management and converter-based systems. His work addresses practical technological requirements while maintaining relevance to sustainable energy and transportation applications.[3]

Research Profile

The research profile of Rahul Charles C M is associated with engineering investigations involving electric drive systems, wind energy conversion and energy storage technologies. His scholarly record includes eight documented research publications with 68 citations and an h-index of 4, according to the supplied research profile data. His work demonstrates a continuing interest in technologies supporting efficient electrical power utilisation and sustainable engineering systems.[1]

Research Contributions

  • Investigation of bidirectional DC-DC converter systems for BLDC motor applications in electric vehicles.
  • Research on field-oriented control of DFIG-based wind energy systems with battery energy storage integration.
  • Analysis of hybrid energy storage approaches for improving electric vehicle energy management.
  • Contribution to multifunctional onboard power electronic converter research for transportation applications.[4]

Publications

Selected publications include research on bidirectional converters for electric vehicles, field-oriented control of wind energy systems, doubly fed induction generators and hybrid energy storage systems. The publication record spans conference proceedings and engineering journals, indicating engagement with both theoretical and application-oriented research dissemination.[2]

Research Impact

Citation activity associated with the research profile indicates scholarly engagement with work concerning renewable power systems and electric mobility. The most cited studies include research on DC-DC converter-fed electric vehicle systems and battery-supported wind energy control. These publications contribute to technical discussions surrounding power conversion, machine control and energy storage integration.[5]

Award Suitability

The research activities of Rahul Charles C M align with the objectives of the Innovative Research Award through their focus on technological innovation and engineering applications. His contributions to electric vehicle power systems, renewable energy technologies and advanced energy storage provide a relevant basis for academic recognition within the Global Innovation Technologist Awards framework.[6]

Conclusion

Rahul Charles C M has established a focused research profile within electrical and energy engineering. His published contributions address contemporary challenges in electric mobility, renewable generation and power electronic systems. The Innovative Research Award profile acknowledges this body of scholarly work and its relevance to continuing technological development.

References

  1. Google Scholar. (n.d.). Rahul Charles C M: Research publications and citation profile. Google Scholar.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ
  2. Charles, R., & Savier, J. S. (2021). Bidirectional DC-DC converter fed BLDC motor in electric vehicle. International Conference on Advances in Electrical and Computing Technologies.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ&view_op=list_works
  3. Charles, C. M. R., Vinod, V., & Jacob, A. (2016). Field oriented control of DFIG based wind energy system using battery energy storage system. Procedia Technology, 24, 1203–1210.
    https://doi.org/10.1016/j.protcy.2016.05.127
  4. Charles, C. M. R., & Savier, J. S. (2022). An overview on hybrid energy storage systems for electric vehicles. International Journal of Electric and Hybrid Vehicles, 14(1–2), 56–64.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ&view_op=list_works
  5. Charles, C. M. R., Vinod, V., & Jacob, A. (2015). Field oriented control of Doubly Fed Induction Generator in wind power system. IEEE International Conference on Computational Intelligence and Computing Research.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ&view_op=list_works
  6. Global Innovation Technologist Awards. (n.d.). Innovation and technology recognition platform.
    innovationtechnologist.com

Yılmaz Erbil | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Yılmaz Erbil
Çukurova University, Turkey

Yılmaz Erbil
Affiliation Çukurova University
Country Turkey
Scopus ID 24824338200
Documents 8
Citations 140
h-index 6
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0001-7077-2733

Yılmaz Erbil is a researcher affiliated with Çukurova University whose publication record is situated within engineering and textile-related research. The documented body of work includes studies of core and dual-core yarn structures, denim fabric performance, hemp-containing fabrics, moisture and air-transfer properties, and functional polymeric materials. His recent publications provide a basis for evaluating research activity in relation to applied materials and textile engineering.

Abstract

The research profile of Yılmaz Erbil reflects an applied engineering orientation with particular emphasis on textile structures and performance. Recent work examines mechanical properties of hemp-containing denim fabrics with core-engineered weft yarns, air permeability and water-vapour transmission in hemp-blended denim, and improvements in dual-core yarn structures. Earlier research investigated core and dual-core cotton yarn structures for denim applications, while a separate study addressed chitosan hydrogel functionality. These publications collectively indicate an interest in linking material architecture with measurable performance characteristics. [1] [2]

Keywords

Textile engineering; hemp denim; dual-core yarn; core yarn; fabric performance; air permeability; water vapour transmission; mechanical properties; cotton microfiber; chitosan hydrogel.

Introduction

Textile engineering increasingly integrates yarn architecture, alternative fibres and functional materials to improve fabric performance. Erbil’s documented publications address this intersection through experimental investigations of yarn and fabric properties. The research is particularly relevant to denim, where yarn construction can influence mechanical and comfort-related characteristics. [3]

Research Profile

The supplied research metrics report 8 documents, 140 citations and an h-index of 6. The profile is associated with Engineering and Çukurova University in Turkey. These indicators provide bibliometric context, while the publication subjects provide qualitative evidence of a focused research direction.

Research Contributions

  • Investigation of mechanical performance in hemp-containing denim fabrics using core-engineered weft yarns. [1]
  • Comparative examination of hemp blend ratio, weft count and dual-core architecture in denim comfort properties. [2]
  • Development-oriented study of cotton-microfiber hybrid sheaths in dual-core yarn structures. [3]

Publications

Recent publications include Mechanical Performance of Hemp-Containing Denim Fabrics with Core-Engineered Weft Yarns (Fibers, 2026), Air Permeability and Water Vapour Transmission in Hemp-Blended Denim Fabrics (Textiles, 2026), and Property improvement in dual-core yarn structure using cotton-microfiber hybrid sheath for textile applications (International Journal of Clothing Science and Technology, 2026). Earlier work includes Performance of Core & Dual-core Cotton Yarn Structures on Denim Fabrics (Journal of Natural Fibers, 2022). [1] [2] [3] [5]

Research Impact

The reported citation count and h-index indicate measurable scholarly visibility. The research also has applied relevance because yarn architecture and fabric composition are directly connected with textile performance parameters. The combination of structural yarn studies and newer hemp-denim investigations suggests continuity in the research programme. The supplied Scopus metrics should be interpreted as a bibliometric snapshot rather than a complete measure of research quality.

Award Suitability

For the Innovative Research Award category, the profile presents relevant evidence through a focused sequence of engineering publications addressing yarn design, textile materials and fabric performance. The 2026 studies extend this direction toward hemp-containing denim and dual-core architectures, while earlier publications demonstrate continuity in the investigation of engineered yarn structures. [1] [5]

Conclusion

Yılmaz Erbil’s documented research profile demonstrates an engineering-focused publication record centered substantially on textile materials, yarn construction and denim performance. The combination of bibliometric indicators and recent peer-reviewed publications provides a substantive basis for consideration within an innovation-oriented academic recognition framework.

References

  1. Erbil, Y. (2026). Mechanical Performance of Hemp-Containing Denim Fabrics with Core-Engineered Weft Yarns. Fibers.
    https://doi.org/10.3390/fib14090095
  2. Erbil, Y. (2026). Air Permeability and Water Vapour Transmission in Hemp-Blended Denim Fabrics: A Comparative Study of Hemp Blend Ratio, Weft Count and Dual-Core Weft Architecture. Textiles.
    https://doi.org/10.3390/textiles6030089
  3. Erbil, Y. (2026). Property improvement in dual-core yarn structure using cotton-microfiber hybrid sheath for textile applications. International Journal of Clothing Science and Technology.
    https://doi.org/10.1108/IJCST-09-2025-0166
  4. Erbil, Y. (2024). Synthesis, characterization, and antibacterial effect of St. John’s wort oil loaded chitosan hydrogel. International Journal of Biological Macromolecules.
    https://doi.org/10.1016/j.ijbiomac.2024.129444
  5. Erbil, Y. (2022). Performance of Core & Dual-core Cotton Yarn Structures on Denim Fabrics. Journal of Natural Fibers.
    https://doi.org/10.1080/15440478.2021.1982837
  6. Elsevier. (n.d.). Scopus author details: Yılmaz Erbil, Author ID 24824338200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=24824338200

Vidya Nandikolla | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Vidya Nandikolla
California State University, United States

Vidya Nandikolla
Affiliation California State University
Country United States
Scopus ID 8339231200
Documents 25
Citations 136
h-index 5
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-4151-4783

Vidya Nandikolla is an engineering researcher whose published work addresses robotics, simultaneous localization and mapping (SLAM), brain-computer interfaces (BCI), machine learning, and intelligent robotic control. The research portfolio demonstrates an interdisciplinary connection between computational methods, sensing, human–robot interaction, and autonomous systems. [1]

Abstract

The Innovative Research Award profile recognizes Vidya Nandikolla’s contributions to engineering research involving autonomous robotics, SLAM, robotic teleoperation, and BCI-enabled assistive systems. Her publications examine navigation, obstacle avoidance, brain-signal processing, machine learning, and robotic control, reflecting a research direction centered on intelligent and human-interactive robotic technologies. [3]

Keywords

Robotics; SLAM; brain-computer interface; teleoperation; machine learning; LiDAR; autonomous navigation; obstacle avoidance; robotic assistive systems; engineering innovation.

Introduction

Nandikolla’s research sits at the intersection of robotics and intelligent computational systems. Published studies investigate how sensing, localization, learning, and human control can be integrated into mobile and assistive robots. Her work on EEG-based BCI teleoperation further extends robotics toward interfaces that can translate brain activity into control commands. [5]

Research Profile

  • Engineering research focused on robotics and autonomous systems.
  • Research emphasis on SLAM, navigation, and obstacle avoidance.
  • Integration of BCI, machine learning, and robotic teleoperation.

Research Contributions

Key contributions include evaluation of Extended Kalman Filter odometry for 2D LiDAR SLAM, omnidirectional mobile-robot obstacle avoidance, EEG-based robotic arm teleoperation, and semi-autonomous assistive robotics using SLAM. Additional work has examined machine-learning approaches for harvesting brain signals. [3] [4] [5] [6] [7]

Publications

The publication record includes peer-reviewed studies in robotics, SLAM, BCI, and engineering diagnostics. A 2026 Sensors article evaluates Extended Kalman Filter odometry in 2D LiDAR SLAM, while earlier publications address obstacle avoidance, BCI teleoperation, assistive mobile robotics, and machine-learning methods for brain signals. [3] [7]

Research Impact

The supplied research profile records 25 documents, 136 citations, and an h-index of 5. These indicators provide quantitative context for the research record, while the publication topics demonstrate sustained engagement with robotics and intelligent engineering systems. Citation metrics should be interpreted alongside publication quality, research relevance, and scholarly contribution. [1]

Award Suitability

The profile is relevant to the Innovative Research Award because it presents a coherent body of engineering research addressing autonomous navigation, robotic intelligence, human–machine interfaces, and assistive technologies. The combination of experimental robotics and computational methods provides an appropriate scholarly basis for consideration within the Global Innovation Technologist Awards. [3] [5]

Conclusion

Vidya Nandikolla’s research profile reflects a multidisciplinary engineering program connecting robotics, SLAM, machine learning, BCI, and teleoperation. The documented publication record and citation indicators provide evidence of scholarly activity, while the thematic consistency of the work supports its relevance to an innovation-focused academic recognition program.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Vidya Nandikolla, Author ID 8339231200. Scopus.
    https://www.scopus.com/pages/authors/8339231200
  2. Merrick, C., & Nandikolla, V. (2026). Evaluating the Impact of Extended Kalman Filter Odometry on the Performance of 2D LiDAR SLAM Algorithms. Sensors.
    https://doi.org/10.3390/s26175468
  3. Nandikolla, V., & Ghoslin, B. (2023). Obstacle Avoidance for Omnidirectional Mobile Robot Using SLAM. ASME Journal of Engineering and Science in Medical Diagnostics and Therap.
    https://doi.org/10.1115/1.4055689
  4. Nandikolla, V., & Medina Portilla, D. A. (2022). Teleoperation Robot Control of a Hybrid EEG-Based BCI Arm Manipulator Using ROS. Journal of Robotics, 2022.
    https://doi.org/10.1155/2022/5335523
  5. Matsuno, K., Nandikolla, V., Ghoslin, B., & Medina Portilla, D. A. (2022). A brain-computer interface for teleoperation of a semi-autonomous mobile robotic assistive system using SLAM. Journal of Robotics.
    https://doi.org/10.1155/2021/6178917
  6. Matsuno, K., & Nandikolla, V. (2022). Harvesting brain signals using machine learning methods. ASME Journal of Engineering and Science in Medical Diagnostics and Therapy.
    https://doi.org/10.1115/1.4053064

Koteswara Rao Yerra | Engineering | Best Research Article Award

Published on by Innovation Technologist

Best Research Article Award

Koteswara Rao Yerra
Texas A&M University, United States

Koteswara Rao Yerra
Affiliation Texas A&M University
Country United States
Scopus ID 7201581139
Documents 90
Citations 4,645
h-index 41
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0001-6063-904X

Koteswara Rao Yerra is a researcher associated with Texas A&M University whose scholarly record spans engineering and interdisciplinary research areas. The profile presented for the Best Research Article Award considers publication activity, citation performance, research continuity, and recent article-level contributions. The available publication record includes work addressing antimicrobial photodynamic therapy, microbial infection mechanisms, oxidative stress, and bioactive compounds, illustrating engagement with research questions that connect engineering-oriented methods with biomedical and molecular applications.[1]

Abstract

This article summarizes the academic profile and recent publication contributions of Koteswara Rao Yerra in relation to the Best Research Article Award. Particular attention is given to recent studies concerning antimicrobial photodynamic therapy against Klebsiella pneumoniae, the enhancement of antibiotic activity, inflammatory mechanisms in Neisseria gonorrhoeae-infected macrophages, and investigations involving bioactive compounds. These publications demonstrate a continuing interest in scientifically defined therapeutic and mechanistic research problems.[2][3]

Keywords

Antimicrobial photodynamic therapy; Klebsiella pneumoniae; photosensitizers; antibiotics; NLRP3 inflammasome; oxidative stress; bioactive compounds; engineering research.

Introduction

Research article recognition commonly evaluates the quality, relevance, originality, and documented scholarly influence of published work. Within this context, Yerra’s recent publications address antimicrobial resistance and infection-related biological processes through experimental approaches involving light-activated therapeutic strategies and combined treatment modalities. Such topics remain relevant to interdisciplinary research because they connect technological intervention with microbiological and pharmacological investigation.[2]

Research Profile

The available Scopus profile identifies 90 documents, 4,645 citations, and an h-index of 41. These indicators provide a quantitative overview of publication output and citation visibility, while the ORCID record supports persistent researcher identification across scholarly information systems.[1]

Research Contributions

A recent contribution examines dual-photosensitizer antimicrobial photodynamic therapy and its combination with antibiotics against Klebsiella pneumoniae. Related work investigates methylene blue and Photodithazine as combined photosensitizers and evaluates approaches intended to enhance antibiotic effects through photodynamic treatment.[2][3][4]

Publications

  • Dual-Photosensitizer Antimicrobial Photodynamic Therapy (DaPDT) and Its Combination with Antibiotics, Pharmaceutics (2026).
  • Cinnamaldehyde inhibits the NLRP3 inflammasome and inflammatory response, Journal of Traditional and Complementary Medicine (2026).
  • The Combined Photosensitizers in Antimicrobial Photodynamic Therapy, International Journal of Molecular Sciences (2025).
  • Enhancing Antibiotic Effect by Photodynamic, Antibiotics (2025).

Research Impact

Citation indicators suggest sustained visibility across the documented publication record. An h-index of 41, together with 4,645 citations, provides evidence of repeated citation to a substantial portion of the researcher’s indexed work. These metrics are descriptive indicators and should be interpreted alongside publication quality, disciplinary context, collaboration patterns, and the specific contribution of individual articles.[1]

Award Suitability

The profile is suitable for consideration under the Best Research Article Award category because it combines an established indexed publication record with recent article contributions addressing defined scientific problems. The antimicrobial photodynamic therapy studies provide a focused example of research examining alternative or complementary approaches to bacterial treatment, while related mechanistic work broadens the documented scope of investigation.[2][5]

Conclusion

Koteswara Rao Yerra’s documented academic profile reflects a combination of publication productivity, citation impact, and recent research activity. The selected articles demonstrate continued engagement with antimicrobial treatment strategies, inflammatory response mechanisms, and bioactive compounds. Taken together, these elements provide a structured basis for academic recognition within the Global Innovation Technologist Awards framework.

References

  1. Elsevier. (n.d.). Scopus author details: Koteswara Rao Yerra, Author ID 7201581139. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7201581139
  2. Yerra, K. R., et al. (2026). Dual-Photosensitizer Antimicrobial Photodynamic Therapy (DaPDT) and Its Combination with Antibiotics: A New Investigation Modality Against Klebsiella pneumoniae.
    https://doi.org/10.3390/pharmaceutics18050587
  3. Yerra, K. R., et al. (2025). The Combined Photosensitizers in Antimicrobial Photodynamic Therapy: The Case of Methylene Blue and Photodithazine Against Klebsiella pneumoniae. International Journal of Molecular Sciences.
    https://doi.org/10.3390/ijms262010211
  4. Yerra, K. R., et al. (2025). Enhancing Antibiotic Effect by Photodynamic: The Case of Klebsiella pneumoniae. Antibiotics.
    https://doi.org/10.3390/antibiotics14080766
  5. Yerra, K. R., et al. (2026). Cinnamaldehyde inhibits the NLRP3 inflammasome and inflammatory response by reducing oxidative stress in Neisseria gonorrhoeae-infected macrophages. Journal of Traditional and Complementary Medicine.
    https://doi.org/10.1016/J.JTCME.2025.06.003

Jihoon Jang | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Jihoon Jang
Affiliation Korea Institute of Civil Engineering and Building Technology
Country South Korea
Scopus ID 57204915562
Documents 7
Citations 226
h-index 6
Subject Area Engineering
Event Global Innovation Technologist Awards

Jihoon Jang
Korea Institute of Civil Engineering and Building Technology, South Korea

Jihoon Jang is an engineering researcher whose work focuses on intelligent building systems, building energy prediction, indoor environmental quality, and data-driven optimization techniques. His published studies demonstrate the integration of artificial intelligence, machine learning, and building energy management systems to improve operational efficiency and sustainability in modern buildings. With a Scopus profile containing seven indexed publications, 226 citations, and an h-index of six, his research has contributed to practical advances in energy-efficient building technologies and predictive analytics.[1]

Abstract

Jihoon Jang’s scholarly work centers on predictive building analytics, energy optimization, and intelligent HVAC operation. His publications demonstrate the practical application of artificial neural networks and long short-term memory (LSTM) models for forecasting heating energy demand and optimizing building operation schedules. These contributions support sustainable infrastructure by improving energy efficiency while maintaining occupant comfort.[2]

Keywords

Building Energy Management, Artificial Intelligence, HVAC Systems, LSTM Networks, Sustainable Engineering, Indoor Environmental Quality, Machine Learning, Energy Prediction.

Introduction

Growing interest in sustainable buildings has accelerated the development of predictive analytical methods capable of reducing energy consumption while maintaining indoor environmental performance. Jihoon Jang’s research contributes to this objective by combining engineering knowledge with artificial intelligence, producing practical solutions applicable to smart buildings and energy management systems.[3]

Research Profile

The research profile reflects interdisciplinary expertise spanning building engineering, thermal performance modeling, data analytics, and intelligent control technologies. Publications appear in internationally recognized journals including Energy and Buildings, Journal of Building Engineering, Sustainability, and Energies. Citation metrics indicate sustained academic visibility within engineering research communities.[1]

Research Contributions

  • Developed LSTM-based prediction models for heating energy consumption in non-residential buildings.
  • Applied artificial neural networks for predicting optimum heating schedules using BEMS datasets.
  • Investigated HVAC cooling set-point optimization considering mean radiant temperature.
  • Improved thermal energy prediction through advanced feature selection methods.
  • Contributed to affordable image sensing technologies for indoor environmental quality monitoring.

Publications

  • Prediction of heating energy consumption with operation pattern variables using LSTM networks (2022) — 136 citations.
  • Prediction of optimum heating timing utilizing BEMS data (2019) — 54 citations.
  • Cooling set-point temperature considering mean radiant temperature (2019) — 35 citations.
  • Improved model for predicting building thermal energy consumption (2019) — 23 citations.
  • Collection and utilization of indoor environmental quality information using image sensing technology (2022) — 22 citations.

Research Impact

The citation performance of Jihoon Jang’s publications demonstrates consistent scholarly influence within engineering and building science. His studies provide methodological foundations for integrating machine learning into practical building operation, supporting energy conservation initiatives and digital transformation in infrastructure management. The combination of predictive modeling and environmental sensing has relevance for future smart-city applications.[4]

Award Suitability

Based on available scholarly indicators, publication quality, and demonstrated engineering contributions, Jihoon Jang’s work aligns with the objectives of the Global Innovation Technologist Awards. His research emphasizes innovation, measurable academic impact, and practical engineering applications, making the profile suitable for consideration within technology-focused academic recognition programs.[5]

Conclusion

Jihoon Jang has established a focused research portfolio addressing intelligent building operation, predictive analytics, and sustainable engineering. Through contributions to high-quality journals and meaningful citation impact, his work supports continued progress toward energy-efficient infrastructure and evidence-based building management technologies.

References

  1. Elsevier. (n.d.). Scopus author details: Jihoon Jang, Author ID 57204915562.
    https://www.scopus.com/authid/detail.uri?authorId=57204915562
  2. Jang J. et al. (2022). Prediction of heating energy consumption with operation pattern variables for non-residential buildings using LSTM networks.
    https://doi.org/10.1016/j.enbuild.2021.111647
  3. Journal of Building Engineering. (2019). Prediction of optimum heating timing based on artificial neural network.
    https://doi.org/10.1016/j.jobe.2018.12.010
  4. Sustainability. (2019). The derivation of cooling set-point temperature in an HVAC system.
    https://doi.org/10.3390/su11195417
  5. Global Innovation Technologist Awards. (n.d.). Official Award Website.
    innovationtechnologist.com

Merve Öztekin | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Merve Öztekin
Karadeniz Technical University, Turkey
Merve Öztekin
Affiliation Karadeniz Technical University
Country Turkey
Scopus ID 57848993700
Documents 2
Citations 3
h-index 1
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0009-0007-0470-6229

The Innovative Research Award recognizes researchers whose scholarly activities contribute to technological advancement through high-quality engineering research and measurable scientific outputs. Merve Öztekin of Karadeniz Technical University has developed research focused on transformer differential protection, electrical machines, intelligent control systems, and electric vehicle drive technologies. Recent publications demonstrate continued engagement with modern power engineering challenges while emphasizing analytical methods and practical applications in electrical power systems.[1]

Abstract

Merve Öztekin’s research addresses transformer protection algorithms, wavelet-transform applications, nonlinear motor control, and energy-efficient electric vehicle drive systems. The published work combines theoretical modelling with engineering implementation, contributing to the reliability and efficiency of electrical power equipment. The research portfolio reflects interdisciplinary integration between protection engineering, control theory, and intelligent electrical systems.[2]

Keywords

Transformer Differential Protection, Wavelet Transform, Electric Vehicles, Interior Permanent Magnet Synchronous Motor, Engineering, Power Systems, Electrical Protection, Intelligent Control.

Introduction

Modern electrical engineering increasingly requires dependable protection techniques and efficient motor control strategies to improve system stability and sustainability. Research undertaken by Merve Öztekin contributes to these objectives through investigations into transformer fault detection and optimized electrical drive technologies. Publications appearing in international journals and conference proceedings demonstrate ongoing participation in engineering research.[3]

Research Profile

According to the supplied research profile, the author has published studies involving transformer differential protection algorithms, electric vehicle drive optimization, nonlinear control methods, and power electronics. The available bibliometric indicators include a Scopus Author ID of 57848993700 with documented scholarly output, citations, and an h-index reflecting the current stage of academic development.[1]

Research Contributions

  • Development of low-level inter-turn fault detection algorithms for transformer differential protection.
  • Application of wavelet transform techniques for reliable transformer protection.
  • Research on nonlinear optimal control for interior permanent magnet synchronous motors.
  • Studies supporting energy-efficient electric vehicle drive systems.

Publications

  • Low-Level Inter-Turn Fault Detection Algorithm for Transformer Differential Protection (Applied Sciences, 2026).
  • Transformer Differential Protection with Wavelet Transform and Difference Function (Engineering Science and Technology, 2025).
  • Energy Efficient and Transients Optimal IPMSM Drive for Electric Vehicles (SPEEDAM, 2022).
  • Nonlinear Optimal Control for Interior Permanent Magnet Synchronous Motor Drives (ECC, 2022).
  • Wavelet Transform Based Differential Protection Algorithm for Power Transformer (ELECO, 2016).

Research Impact

The available publication record illustrates sustained interest in power system protection and electric drive optimization. Citation metrics indicate emerging scholarly recognition, while recent journal publications suggest continued research productivity. The work contributes to engineering literature by addressing practical reliability and efficiency challenges in electrical infrastructure.[4]

Award Suitability

Based on the documented publications, engineering specialization, and recent peer-reviewed contributions, Merve Öztekin demonstrates characteristics consistent with consideration for the Global Innovation Technologist Awards. The research portfolio emphasizes innovation in electrical engineering through analytical modelling, transformer protection, and sustainable transportation technologies while maintaining publication activity in recognized scientific venues.[5]

Conclusion

The academic profile presented here reflects an engineering researcher contributing to electrical power systems, intelligent protection methods, and advanced motor control. Through conference papers and peer-reviewed journal articles, the research demonstrates progressive development and continuing engagement with contemporary engineering challenges. The documented achievements provide an appropriate scholarly basis for recognition within an international innovation-focused award framework.

References

  1. Elsevier. (n.d.). Scopus author details: Merve Öztekin, Author ID 57848993700.
    https://www.scopus.com/authid/detail.uri?authorId=57848993700
  2. Öztekin, M. (2026). Low-Level Inter-Turn Fault Detection Algorithm for Transformer Differential Protection.
    https://doi.org/10.3390/app16147073
  3. Öztekin, M. (2025). Transformer Differential Protection with Wavelet Transform and Difference Function.
    https://doi.org/10.1016/j.jestch.2025.102144
  4. IEEE. (2022). Energy Efficient and Transients Optimal IPMSM Drive for Electric Vehicles.
    https://doi.org/10.1109/SPEEDAM53979.2022.9842114
  5. European Control Conference. (2022). Nonlinear Optimal Control for Interior Permanent Magnet Synchronous Motor Drives.
    https://doi.org/10.23919/ECC55457.2022.9838314

Wurod Mohamed | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Wurod Mohamed
Affiliation University of Arkansas at Little Rock
Country United States
Scopus ID 57204874896
Documents 12
Citations 30
h-index 3
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0003-2421-1534

Wurod Mohamed

University of Arkansas at Little Rock, United States

Wurod Mohamed is an engineering researcher whose scholarly work focuses on wireless communication systems, signal processing, antenna characterization, electromagnetic modeling, and intelligent communication technologies. Her publications demonstrate continued contributions to millimeter-wave communications, audio transmission enhancement, radar cross-section analysis, and image transmission techniques. The research portfolio reflects interdisciplinary engineering applications supported by computational methods and practical system evaluation, making it relevant to modern wireless infrastructure and emerging communication technologies.[1]

Abstract

The research activities of Wurod Mohamed emphasize engineering solutions for next-generation communication systems through analytical modeling, artificial intelligence, and electromagnetic simulation. Her work addresses practical challenges involving direction-of-arrival estimation, wireless propagation, radar characterization, multimedia transmission, and signal reliability. Publications appearing in recognized engineering journals and conference proceedings demonstrate a balanced combination of theoretical development and practical validation. Collectively, these studies contribute to the advancement of communication system efficiency and electromagnetic engineering while supporting innovation within modern wireless technologies.[2]

Keywords

Wireless Communications, Engineering, Deep Learning, Electromagnetic Modeling, Millimeter-Wave Systems, Signal Processing, Artificial Intelligence, Radar Cross Section.

Introduction

Engineering research increasingly relies on intelligent computational methods to improve communication performance under complex operating conditions. Wurod Mohamed’s scholarly work follows this direction by integrating signal processing algorithms, electromagnetic analysis, and deep learning techniques into communication system design. Her studies illustrate practical engineering approaches that improve estimation accuracy, transmission quality, and propagation modeling across multiple communication environments.[3]

Research Profile

According to the available scholarly profile, the researcher has authored 12 indexed publications with 30 citations and an h-index of 3. The publication record demonstrates sustained engagement in engineering research, particularly wireless communication, antenna systems, artificial intelligence applications, and computational electromagnetic analysis. These contributions indicate active participation in internationally indexed scientific literature.[1]

Research Contributions

  • Development of deep learning-based electromagnetic frameworks for millimeter-wave direction-of-arrival estimation.
  • Research on LMMSE-based enhancement of audio transmission performance.
  • Analysis of shadow path loss models considering antenna gain effects.
  • Image transmission optimization using advanced interleaving techniques.
  • Evaluation of bistatic and monostatic radar cross-section characteristics.

Publications

  • Deep Learning-Based Rigorous Electromagnetic Framework for Direction of Arrival Estimation in Millimeter-Wave Communication Systems Based on Embedded Radiation Patterns, Electronics (2026).
  • Performance Enhancement of Audio Transmission Based on LMMSE Method, Indonesian Journal of Electrical Engineering and Computer Science (2021).
  • Factors Influencing the Shadow Path Loss Model with Different Antenna Gains over Large-Scale Fading Channel, AIMS 2021.
  • New 2-D Interleaving Grouping LBC Applied on Image Transmission, International Journal of Electrical and Computer Engineering (2021).
  • Evaluation of Bistatic and Monostatic RCS for Simple and Complex Targets in X-Band, International Journal of Microwave and Optical Technology (2020).

Research Impact

The research portfolio demonstrates measurable scholarly visibility through indexed publications and citations while addressing technically significant engineering topics. The combination of wireless communications, artificial intelligence, and electromagnetic analysis reflects emerging priorities within communication engineering. The work contributes to improving communication reliability, signal estimation, and computational modeling for practical engineering applications.[4]

Award Suitability

Considering the documented publication record, engineering specialization, and continuing research activity, Wurod Mohamed demonstrates characteristics consistent with recognition by the Global Innovation Technologist Awards. The portfolio illustrates innovation in communication engineering, interdisciplinary application of computational intelligence, and contributions that align with technological advancement and scientific dissemination. The evaluation is based upon publicly available scholarly information and indexed research outputs.[5]

Conclusion

Wurod Mohamed has established a research profile centered on engineering innovation in wireless communications, signal processing, and computational electromagnetics. Through peer-reviewed publications and conference contributions, the researcher has addressed practical communication challenges using analytical and artificial intelligence-based approaches. The documented scholarly record supports recognition within academic engineering communities while demonstrating continuing engagement in research relevant to future communication technologies.

References

  1. Elsevier. (n.d.). Scopus Author Details: Wurod Mohamed, Author ID 57204874896.
    https://www.scopus.com/authid/detail.uri?authorId=57204874896
  2. Mohamed, W. (2026). Deep Learning-Based Rigorous Electromagnetic Framework… Electronics.
    https://doi.org/10.3390/electronics15132934
  3. Mohamed, W. (2021). Performance Enhancement of Audio Transmission Based on LMMSE Method.
    https://doi.org/10.11591/ijeecs.v21.i2.pp903-910
  4. IEEE. (2021). Factors Influencing the Shadow Path Loss Model with Different Antenna Gains over Large-Scale Fading Channel.
    https://doi.org/10.1109/AIMS52415.2021.9466043
  5. Global Innovation Technologist Awards. (n.d.). Official Award Website.
    innovationtechnologist.com

Jakob Reinhardt | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Jakob Reinhardt
Technical University of Munich
Jakob Reinhardt
Affiliation Technical University of Munich
Country Germany
Google Scholar aomsnFcAAAAJ
Documents 19
Citations 168
h-index 7
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-7562-4104

Jakob Reinhardt is a researcher affiliated with the Technical University of Munich in Germany, recognized for contributions to engineering and human-robot interaction research. His scholarly work has explored robotic motion strategies, ergonomic evaluation in surgical robotics, and the development of socially aware robot behavior models within collaborative environments. Reinhardt’s publications demonstrate an interdisciplinary approach that integrates robotics, computer-assisted surgery, human factors engineering, and interaction design.[1] His academic profile includes peer-reviewed journal articles, conference contributions, and collaborative research outputs indexed within Scopus and Crossref databases.[2]

Abstract

This article presents a scholarly overview of Jakob Reinhardt and his research contributions in the field of engineering, with particular emphasis on human-robot interaction, robotic behavior analysis, and ergonomics in robotic-assisted procedures. His publications have contributed to understanding adaptive robot motion strategies and user-centered interaction mechanisms within collaborative technological systems. Through peer-reviewed studies and interdisciplinary research outputs, Reinhardt has participated in advancing applied robotics and interaction design methodologies within academic and engineering environments.[3]

Keywords

Human-Robot Interaction, Engineering Research, Robotic Motion Strategies, Surgical Robotics, Interaction Design, Human Factors Engineering, Ergonomic Analysis, Collaborative Robotics, Autonomous Systems, Technical University of Munich.

Introduction

Engineering research increasingly relies on interdisciplinary integration between robotics, cognitive systems, and human-centered design methodologies. Jakob Reinhardt’s work reflects these contemporary developments by focusing on socially adaptive robotic systems and the evaluation of robotic interactions within professional and medical contexts.[4] His research activities have addressed challenges associated with robot motion communication, task urgency perception, and ergonomic performance assessment in robotic-assisted surgical procedures.[5]

The broader significance of Reinhardt’s work lies in its applicability to collaborative robotics, healthcare technologies, and intelligent interaction systems. By integrating behavioral design principles with engineering methodologies, his publications contribute to the refinement of safer and more intuitive human-robot collaboration frameworks.[6]

Research Profile

Jakob Reinhardt has contributed to engineering research through publications focused on robotic systems, interaction strategies, and medical technology evaluation. His affiliation with the Technical University of Munich has provided a platform for interdisciplinary collaboration involving robotics, artificial intelligence, ergonomics, and human-computer interaction studies.[1]

  • Research specialization in human-robot interaction and collaborative robotic behavior.
  • Contributions to ergonomic evaluation methodologies in robotic-assisted surgical environments.
  • Development of motion communication strategies for autonomous mobile robots.
  • Participation in peer-reviewed journal and conference publications within engineering disciplines.

Research Contributions

One of Reinhardt’s recognized studies evaluated surgeon posture during simulated laparoscopic and robotic-assisted cholecystectomy procedures. The research contributed to understanding ergonomic challenges associated with robotic surgical systems and highlighted considerations relevant to occupational health and medical engineering design.[7]

His publication titled Back-off: Evaluation of Robot Motion Strategies to Facilitate Human-Robot Spatial Interaction investigated adaptive motion strategies that allow robots to communicate spatial awareness and collaborative intent more effectively. The findings supported the development of socially responsive robotic systems designed for shared environments.[8]

Reinhardt also contributed to research on hesitant movement gestures for mobile robots, examining how robotic motion influences user interpretation and interaction confidence. The study demonstrated the importance of nonverbal communication mechanisms in robotic navigation and collaborative settings.[9]

Publications

  1. Surgeon posture evaluation during simulated laparoscopic and robotic-assisted cholecystectomy, International Journal of Computer Assisted Radiology and Surgery, 2026.
  2. Back-off: Evaluation of Robot Motion Strategies to Facilitate Human-Robot Spatial Interaction, ACM Transactions on Human-Robot Interaction, 2021.
  3. Design of a hesitant movement gesture for mobile robots, PLOS ONE, 2021.
  4. Investigating Perceived Task Urgency as Justification for Dominant Robot Behaviour, 2020.

Research Impact

The research impact associated with Jakob Reinhardt’s academic profile is reflected through citation activity, interdisciplinary collaboration, and contributions to applied robotics research. His studies have addressed practical engineering problems associated with interaction safety, motion interpretation, and ergonomics in robotic systems.[2]

With a documented Scopus h-index and international publication record, Reinhardt’s work demonstrates scholarly engagement within engineering and robotic interaction communities. The integration of human-centered principles into robotic system design remains a notable characteristic of his research contributions.[3]

Award Suitability

Jakob Reinhardt’s research profile aligns with the objectives commonly associated with innovation and technology-focused academic recognition programs. His contributions to robotics, interaction design, and engineering evaluation methodologies support advancements in collaborative intelligent systems and applied technological research.[6]

The interdisciplinary nature of his work, including applications in healthcare technology and human-robot collaboration, demonstrates relevance to contemporary engineering challenges and innovation-driven scientific initiatives. His publication history and citation record further support recognition within the context of the Global Innovation Technologist Awards.[4]

Conclusion

Jakob Reinhardt has contributed to engineering and robotics research through investigations into human-robot interaction, ergonomic assessment, and socially adaptive robotic systems. His scholarly publications demonstrate a sustained focus on improving collaborative robotic behavior and evaluating the practical implications of robotic technologies within professional and medical environments.[7] The combination of interdisciplinary methodology, peer-reviewed publication activity, and measurable research impact supports his recognition within international academic and technological award platforms.[8]

References

  1. ORCID. (n.d.). Jakob Reinhardt researcher profile. ORCID Registry.
    https://orcid.org/0000-0002-7562-4104
  2. Elsevier. (n.d.). Scopus author details: Jakob Reinhardt, Author ID 57201292569. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57201292569
  3. PLOS ONE. (2021). Design of a hesitant movement gesture for mobile robots.
    https://doi.org/10.1371/journal.pone.0249081
  4. ACM Transactions on Human-Robot Interaction. (2021). Back-off: Evaluation of Robot Motion Strategies to Facilitate Human-Robot Spatial Interaction.
    https://doi.org/10.1145/3418303
  5. Springer. (2020). Investigating Perceived Task Urgency as Justification for Dominant Robot Behaviour.
    https://doi.org/10.1007/978-3-030-50726-8_15
  6. Technical University of Munich. (n.d.). Research affiliation and academic activities.
  7. International Journal of Computer Assisted Radiology and Surgery. (2026). Surgeon posture evaluation during simulated laparoscopic and robotic-assisted cholecystectomy.
    https://doi.org/10.1007/s11548-026-03666-4
  8. Open Science Framework. (2020). Back-off: Evaluation of Robot Motion Strategies to Facilitate Human-Robot Spatial Interaction.
    https://doi.org/10.31234/osf.io/ws2ez
  9. Crossref. (n.d.). Publication indexing and DOI registry records for Jakob Reinhardt.

Ming Chen | Engineering | Research Excellence Award

Published on by Innovation Technologist

Dr. Ming Chen | Engineering | Research Excellence Award 

Lecturer at  Zhejiang Ocean University | China

Dr. Ming Chen is a researcher in composite structures, uncertainty quantification, and data-driven intelligent design, with a strong focus on underwater composite cylindrical shells. His work integrates numerical simulation, polynomial chaos expansion, Bayesian deep learning, symbolic regression, and automated machine learning for structural analysis, reliability assessment, and design optimization under uncertainty. He has published in leading journals including Mechanics of Advanced Materials and Structures and Journal of Marine Science and Engineering. According to Scopus, Dr. Ming Chen has 6 publications, 18 citations, and an h-index of 2. His research contributes to probabilistic machine learning frameworks, global sensitivity analysis, and digital-twin multi-fidelity modeling for advanced composite systems.

                            Citation Metrics (Scopus)

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