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

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)

30

25

20

15

10

5

0

 

Citations
18
Documents
6
h-index
2

Citations

Documents

h-index

View Scopus Profile  View ORCID Profile

Featured Publications

Shyamal Acharya | Engineering | Research Excellence Award

Published on by Innovation Technologist

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

Published on by Innovation Technologist

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.

Nawaz Ali | Engineering | Best Researcher Award

Published on by Innovation Technologist

Mr. Nawaz Ali | Engineering | Best Researcher Award

Student at University of Calabria, Sweden

Nawaz Ali is a telecommunications engineer, researcher, and academic with extensive experience in telecommunication networks, database management, and technical education. He has worked in various capacities, including industry roles in GSM networks, IT assistance, and academia, where he has contributed to research and curriculum development. His research interests focus on wireless communications, cognitive radio, vehicular networks, and cloud-based applications.

Publication Profile 

Google Scholar

Educational Background 🎓

  1. Master of Science in Applied Telecommunications and Engineering Management (MASTEAM)

    • Polytechnic University of Catalonia (BarcelonaTech), Spain (2017-2018)

    • Thesis: Performance Comparison of a Platooning Scenario Using EE 802.11p

  2. Master of Science in Mobile and Satellite Communication

    • University of Surrey, UK (2009-2010)

    • Thesis: Performance Evaluation of Spectrum Sensing Techniques in Cognitive Radio

  3. Bachelor of Engineering in Telecommunication Engineering

    • Mehran University of Engineering & Technology, Pakistan (2004-2007)

    • Thesis: Block Error Rate Analysis for WCDMA

  4. Certifications & Training:

    • 5G Implementation: Practices and Case Studies (ITU/Universiti Teknologi Malaysia, 2021)

    • Introduction to Internet of Things (IoT) Certification (Simplilearn, 2021)

    • Wireless Networks Certification Training (CellCom, 2005)

    • Optical Fiber Specialization (NA Telecom Technologies, 2006)

    • CCNA 5.0 (Computer Training and Testing Center, 2006)

    • Graduate Record Examination (GRE) (Score: 329/340)

Professional Experience 💼

  1. Assistant Professor (2014 – Present)

    • Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)

    • Teaching and supervising projects related to telecommunication engineering.

  2. Director Skill Standards & Curricula (BS-19) (2013)

    • National Vocational & Technical Training Commission (Pakistan)

    • Developed national occupational standards and curricula for technical training programs.

  3. Assistant Professor (2011-2013)

    • Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)

    • Delivered courses in telecommunication engineering.

  4. IT Assistant (2009-2010)

    • Shabester-Accountants & Tax Advisors (UK)

    • Managed database security, recovery, and user training.

  5. BSS Engineer (2008-2009)

    • Egyptian Pakistani Telecommunications Services (EPTSC) (Pakistan)

    • Installed and maintained GSM networks and microwave transmission links.

Research Interests 🔬

  • Wireless Communication Networks

  • Cognitive Radio & Spectrum Sensing

  • Internet of Things (IoT)

  • Vehicular Ad-Hoc Networks (VANETs)

  • Machine Learning for Communication Systems

Awards and Honors🏆✨

  • Secured research grants and collaborations in telecommunications.

  • Recognized for contributions to vocational education and training programs.

  • High GRE score (329/340).

Conclusion🌟

Nawaz Ali is an accomplished telecommunications engineer, educator, and researcher with expertise in mobile communication, network security, and IoT applications. His work spans both academia and industry, focusing on wireless networks and emerging technologies. His contributions to curriculum development and technical training have played a crucial role in advancing vocational and higher education in telecommunications.

Publications 📚

📌 Dynamic Application Partitioning and Task-Scheduling Secure Schemes for Biosensor Healthcare Workload in Mobile Edge Cloud
📖 A. Lakhan, J. Li, T.M. Groenli, A.H. Sodhro, N.A. Zardari, A.S. Imran, …
📚 Electronics 10(22), 2797 (2021)
📊 Citations: 30

🚗 Adaptive Mobility-Aware and Reliable Routing Protocols for Healthcare Vehicular Network
📖 N.A. Zardari, R. Ngah, O. Hayat, A.H. Sodhro
📚 Mathematical Biosciences and Engineering 19(7), 7156-7177 (2022)
📊 Citations: 18

📡 Spectrum Sensing in ISM Band Using Cognitive Radio
📖 N. Sohu, N.A. Zardari, M.A. Rahu, A.A. Mirani, N.H. Phulpoto
📚 Quaid-E-Awam University Research Journal of Engineering, Science … (2019)
📊 Citations: 11

🖥 Implementation of Huffman Decoder on FPGA
📖 S.A. Dahri, A.F. Chandio, N.A. Zardari
📚 International Journal of Engineering Research & Applications 6(1), 84-88 (2016)
📊 Citations: 2

☁️ Simulators for System Dataset Generation in the Edge-to-Cloud Continuum
📖 N. Ali, G. Aloi, P. Pace, M. Gianfelice, F. Pupo, R. Gravina, G. Fortino
📚 20th International Conference on Distributed Computing in Smart Systems (2024)
📊 Citations: 1

🏭 Edge-Cloud Continuum Driven Industry 4.0
📖 N. Ali, G. Aloi, F. De Rango, C. Savaglio, R. Gravina
📚 Procedia Computer Science 253, 2586-2594 (2025)

🎨 Design and Development of GUI for the Mitigation of Chromatic Dispersion: A New Approach
📖 B. Das, N.A. Zardari, F. Deeba, D.K. Ramnani
📚 Sukkur IBA Journal of Emerging Technologies 5(1), 19-31 (2022)