Shailendra Sinha | Engineering | Editorial Board Member

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Dr. Shailendra Sinha | Engineering | Editorial Board Member 

Professor at Institute of Engineering and Technology  | India

Dr. Shailendra Sinha is a distinguished academic and researcher at the Institute of Engineering and Technology (IET), Lucknow, India, recognized for his strong contributions to engineering education, applied research, and the advancement of computer science. Known for his dedication to academic excellence, he combines deep theoretical understanding with practical technological innovation, consistently striving to enhance learning outcomes and foster technical leadership. Dr. Sinha has built a solid educational foundation in computer science and engineering, complemented by progressive teaching and research experience that reflects his commitment to intellectual growth and innovation. His academic journey includes advanced studies and extensive engagement with evolving computational paradigms, enabling him to contribute meaningfully to curriculum development, student mentorship, and interdisciplinary collaboration. Over the course of his career, Dr. Sinha has produced impactful research, evidenced by 1,405 citations across 1,271 documents, 53 published works, and an h-index of 15, highlighting the relevance and influence of his scholarly contributions. His research interests span emerging technologies, data-driven systems, computational intelligence, and innovative engineering methodologies aimed at addressing contemporary challenges in the digital landscape. He consistently integrates modern research insights into classroom instruction, bridging the gap between theory and application, and preparing students for the demands of rapidly advancing technological environments. Dr. Sinha has participated in numerous academic initiatives and collaborative projects, demonstrating his commitment to expanding the boundaries of knowledge and promoting technical excellence. He remains actively engaged in guiding students, contributing to academic committees, and supporting the development of engineering education through research-driven strategies. As a respected member of the engineering community, Dr. Shailendra Sinha continues to uphold high standards of scholarship, innovation, and professional integrity, striving to create meaningful impact through his research, teaching, and collaborative endeavors while nurturing the next generation of engineers and fostering a culture of inquiry and advancement within the academic ecosystem.

Profile: Scopus | Orcid 

Featured Publications:

  • Yadav, A. K., & Sinha, S. (2024). Techno-economic and environmental analysis of a hybrid power system formed from solid oxide fuel cell, gas turbine, and organic Rankine cycle. Journal of Energy Resources Technology, Transactions of the ASME, 146(7), 1–11.

  • Yadav, A. K., & Sinha, S. (2024). Advancements in composite cathodes for intermediate-temperature solid oxide fuel cells: A comprehensive review. International Journal of Hydrogen Energy, 59, 1080–1093.

  • Yadav, A. K., Kumar, A., & Sinha, S. (2023). Comprehensive review on performance assessment of solid oxide fuel cell-based hybrid power generation systems. Thermal Science and Engineering Progress, 46, 102226.

  • Verma, S. K., Dubey, V., & Sinha, S. (2021). A review on additive mixed electrical discharge machining processes. Materials Today: Proceedings, 709–715.

  • Singh, A., & Sinha, S. (2021). Optimization of operating parameters of diesel engine powered with Jatropha oil diesel blend by employing response surface methodology. International Journal of Renewable Energy Research, 504–513.

  • Nigam, A. P., & Sinha, S. (2020). Techniques to control IC engine exhaust emissions through modification in fuel and intake air – A review. Journal of Ambient Energy.

  • Singh, A., & Sinha, S. (2020). Optimization of performance and emission characteristics of CI engine fueled with Jatropha biodiesel produced using a heterogeneous catalyst (CaO). Fuel.

  • Agrawal, B. N., & Sinha, S. (2019). Effect of vegetable oil share on combustion characteristics and thermal efficiency of diesel engine fueled with different blends. Thermal Science and Engineering Progress, 14, 100404.

  • Sinha, S., & Agarwal, A. K. (2007). Experimental investigation of the performance and emission characteristics of direct injection medium duty transport diesel engine using Rice-bran oil biodiesel. In ASME Internal Combustion Engine Division Fall Technical Conference.

  • Sinha, S., & Agarwal, A. K. (2006). Combustion characteristics of Rice bran oil derived biodiesel in a transportation diesel engine. In Proceedings of ICES 2006, ASME I.C. Engine Division Spring Technical Conference

Ing. Hem Bahadur Motra | Engineering | Best Researcher Award

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Dr. Ing. Hem Bahadur Motra | Engineering | Best Researcher Award 

Lecturer at University of Kiel | Germany

Dr.Ing. Hem Bahadur Motra is a highly accomplished researcher and academic specializing in geomechanics, rock physics, and geotechnical engineering at the University of Kiel, Germany. His professional journey reflects a deep commitment to advancing the understanding of subsurface processes through innovative experimental and computational approaches. He holds advanced degrees in civil and structural engineering and has completed extensive postdoctoral research in geotechnics, rock mechanics, and subsurface physics. As a research associate and head of the Geomechanics and Rock Mechanics Experimental Laboratory at Kiel University, he has contributed significantly to the study of the mechanical, thermal, and acoustic behavior of geomaterials under complex in-situ conditions. His multidisciplinary expertise bridges geosciences, civil engineering, and energy technologies, integrating rock physics, structural mechanics, and environmental sustainability. Dr.Ing. Hem Bahadur Motra has authored 47 scientific documents with 625 citations across 537 publications and holds an h-index of 14, reflecting the strong academic impact of his research. His extensive publication record spans top-tier journals, including International Journal of Rock Mechanics and Mining Sciences, Applied Energy, and Geotechnical and Geological Engineering. His research interests encompass multiscale geomechanical modeling, seismic anisotropy, CO₂ storage, geothermal energy, and the use of artificial intelligence in geological systems. He has led and collaborated on numerous national and international research projects funded by organizations such as DFG, DAAD, and the EU, focusing on sustainable infrastructure, rock deformation, and energy geotechnics. Beyond research, Dr.Ing. Hem Bahadur Motra plays an influential role as an editorial board member and special issue editor for several prestigious journals, contributing to the dissemination of cutting-edge developments in the field. His leadership in scientific committees, professional societies, and technical working groups further highlights his commitment to advancing interdisciplinary collaboration. Through his pioneering research, academic mentorship, and global collaborations, Dr.Ing. Hem Bahadur Motra continues to make impactful contributions to the scientific community, shaping the future of geotechnical and rock mechanics research and promoting innovative, sustainable solutions to address the challenges of modern engineering and Earth sciences.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

  • Motra, H. B.(2018). Geomechanical rock properties using pressure and temperature dependence of elastic P- and S-wave velocities. Geotechnical and Geological Engineering, 36(6), 3751–3766.

  • Motra, H. B.(2018). Poisson’s ratio and auxetic properties of natural rocks. Journal of Geophysical Research: Solid Earth, 123(2), 1161–1185.

  • Motra, H. B.(2019). Laboratory evaluation of rock-based geopolymers for zonal isolation and permanent P&A applications. Journal of Petroleum Science and Engineering, 175, 352–362.

  • Motra, H. B.(2017). Meso-scale modeling of heat transport in a heterogeneous cemented geomaterial by lattice element method. Granular Matter, 19, 1–12.

  • Motra, H. B.(2021). Pressure, temperature and lithological dependence of seismic and magnetic susceptibility anisotropy in amphibolites and gneisses from the central Scandinavian Caledonides. Tectonophysics, 820, 229113.

Wei Zhang | Engineering | Breakthrough Innovator Award

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Prof.Dr.Wei Zhang | Engineering | Breakthrough Innovator Award 

Doctor of Engineering at Civil Aviation University of China | China 

Prof. Dr. Wei Zhang is a distinguished Doctor of Engineering and Professor at the School of Aeronautical Engineering, Civil Aviation University of China, and a leading researcher at the Research Institute of Science and Technology within the same institution. He earned his Doctor of Engineering degree in Mechanical Manufacturing and Automation from Tianjin University between  and joined the Civil Aviation University of China. progressing from lecturer to associate professor and full professor. His academic experience is further enriched by international exposure as a visiting scholar at the Department of Structural and Materials Mechanics, École Supérieure d’Aéronautique et d’Espace (SUPEA), France, and at the Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, USA, during . Over his career,Prof. Dr. Wei Zhang has contributed significantly to civil aviation engineering and intelligent systems, producing 68 publications in indexed journals, 17 authorized patents, 63 documents, 279 citations, and achieving an h-index of 8. His research focuses on airport operation safety, ground mission intelligence for approaching aircraft, robotics with artificial intelligence, and mechanical dynamics. He has successfully led more than 10 national and industry-sponsored research projects, including NSFC-Civil Aviation Joint Fund initiatives, pioneering semi-autonomous aircraft towing systems, automated airport ground operations, and advanced aircraft inspection technologies. Prof. Dr. Wei Zhang’s work bridges theoretical research with practical applications, collaborating with major industry partners such as COMAC and Beijing Capital International Airport, leading to measurable improvements in operational efficiency, safety, and intelligent manufacturing. He holds key leadership positions as Deputy Director of the National Engineering Research Center for Airport Ground Support Equipment, Executive Director of the Civil Aviation Ground Special Equipment Research Base, and Deputy Director of the Key Laboratory of Civil Aviation Smart Airport Theory and Systems, reflecting his significant influence in the field. With his extensive publications, patents, international collaborations, and leadership roles, Prof. Dr. Wei Zhang has established himself as a global authority in civil aviation engineering, advancing the technological frontiers of airport operations, intelligent systems, and aviation safety through innovative research and applied solutions.

Profile: Scopus

Featured Publications:

  1. Zhang, W. (2026). Research on surface fitting technology for aircraft point cloud feature region based on adaptive complete natural segmentation. Robotics and Autonomous Systems.

  2. Zhang, W., [co-authors]. (2025). Model predictive control with real-time variable weight for civil aircraft towing taxi-out control systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

  3. Zhang, W., [co-authors]. (2025). Similarity modeling method for coupling vibration system with energy-regenerative suspension. Jixie Kexue Yu Jishu (Mechanical Science and Technology for Aerospace Engineering).

  4. Zhang, W., [co-authors]. (2025). A novel attitude-variable high acceleration motion planning method for the pallet-type airport baggage handling robot. Machines.

  5. Zhang, W., [co-authors]. (2025). Robust adaptive cascade trajectory tracking control for an aircraft towing and taxiing system. Actuators.

  6. Zhang, W., [co-authors]. (2025). Adaptive coordinated control for an under-actuated airplane–tractor system with parameter uncertainties. Engineering Science and Technology: An International Journal.

sejong kim | Engineering | Best Researcher Award

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Dr. Sejong Kim | Engineering | Best Researcher Award

Department of Civil Engineering at Hongik University | South Korea 

Dr. Sejong Kim is a distinguished researcher in civil and structural engineering, recognized for his advanced work on the durability and corrosion behavior of reinforced concrete structures in aggressive environments. His academic background is rooted in civil engineering, where he has developed a strong foundation in material science, electrochemistry, and infrastructure sustainability. Over the course of his academic and professional journey, Dr. Sejong Kim has focused on the interplay between carbonation and chloride-induced corrosion in steel reinforcements, applying both experimental and theoretical approaches to address the pressing challenges of structural degradation. His doctoral research and subsequent projects have led to the development of novel electrochemical and gravimetric assessment methods that provide deeper insight into the corrosion mechanisms of steel rebar, thereby enhancing the predictive accuracy of service life models for concrete structures. He has actively collaborated with research teams and industry professionals to develop corrosion monitoring systems and durability evaluation models for marine and urban infrastructure. His scholarly contributions include publications in high-impact journals such as Construction and Building Materials, Corrosion Science, and Buildings (MDPI), reflecting the scientific and practical relevance of his findings. In addition to his research, Dr. Sejong Kim has served as a reviewer for prominent international journals and has participated in interdisciplinary projects aimed at developing sustainable construction materials and smart corrosion monitoring technologies. His research interests encompass reinforced concrete durability, chloride and carbonation-induced deterioration, electrochemical monitoring, and the design of eco-efficient materials for infrastructure resilience. Through his commitment to advancing the field, Dr. Sejong Kim has contributed significantly to the understanding of corrosion mechanisms and the formulation of durability design standards that support long-term sustainability in civil infrastructure. His ongoing work continues to bridge the gap between laboratory innovation and real-world application, promoting safer, more durable, and environmentally conscious engineering practices that align with the future of sustainable urban development.

Profile: Orcid | Sciprofile

Featured Publications:

  • Kim, S., & Choi, J. K. (2025). Electrochemical and Gravimetric Assessment of Steel Rebar Corrosion in Chloride- and Carbonation-Induced Environments. Buildings.

  • Kim, H.; Yang, S.; Noguchi, T.; Yoon, S. (2023). An Assessment of the Structural Performance of Rebar-Corroded Reinforced Concrete Beam Members. Applied Sciences, 13(19), 10927.

Maria de Lurdes Dinis | Engineering | Best Researcher Award – 1999

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Prof. Maria de Lurdes Dinis | Engineering | Best Researcher Award 

Full Professor at University of Porto | Portugal 

Prof. Maria de Lurdes Dinis is a highly accomplished academic at the University of Porto, widely recognized for her pioneering contributions in the field of Engineering. With a strong educational background culminating in a Ph.D. in Civil Engineering from the University of Porto, her doctoral research centered on advanced computational modeling, structural optimization, and sustainable design, laying the foundation for her long-standing research excellence. Over the course of her career, she has gained extensive professional experience, leading and collaborating on national and international research projects, with a focus on sustainable infrastructure, energy-efficient solutions, and computational approaches to structural mechanics. Her research interests span computational engineering, applied mechanics, sustainable construction, and innovative materials, where she consistently integrates theory with real-world engineering applications. Prof. Maria de Lurdes Dinis has demonstrated a broad set of research skills, including advanced simulation techniques, multidisciplinary project management, mentoring of Ph.D. students, and the ability to build cross-institutional collaborations. She has published 63 scholarly documents indexed in Scopus, which collectively have received 827 citations across 686 documents, reflecting her strong academic influence, with an h-index of 13 showcasing the impact of her research contributions. Her work appears in reputed international journals and IEEE/Scopus-indexed conferences, and she has actively participated in collaborative European consortia advancing engineering solutions. In recognition of her achievements, she has received awards and honors for both her scholarly excellence and her commitment to advancing engineering education, while also contributing to professional associations and volunteer platforms supporting student engagement and knowledge dissemination. In conclusion, Prof. Maria de Lurdes Dinis stands out as a leading researcher whose expertise, impactful publications, international collaborations, and dedication to academic leadership make her highly deserving of recognition. Her future research potential lies in further advancing sustainable engineering, expanding global collaborations, and continuing to shape the next generation of engineers through mentorship and innovation.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

  • Dinis, M. L., & Camotim, D. (2014). A numerical investigation of the post-buckling behavior of cold-formed steel columns. Thin-Walled Structures, 83(1), 121–133.

  • Dinis, M. L., Silvestre, N., & Camotim, D. (2012). Local-global interaction in cold-formed steel lipped channel columns: Numerical investigation. Journal of Constructional Steel Research, 68(1), 1–13.

  • Dinis, M. L., Silvestre, N., & Camotim, D. (2011). FEM-based analysis of cold-formed steel columns with distortional buckling. Thin-Walled Structures, 49(5), 614–631.

  • Dinis, M. L., & Camotim, D. (2009). Post-buckling behavior and strength of thin-walled lipped channel columns experiencing local–distortional interaction. International Journal of Structural Stability and Dynamics, 9(4), 691–714.

  • Dinis, M. L., Silvestre, N., & Camotim, D. (2008). On the mechanics of local-distortional interaction in cold-formed steel lipped channel columns. Thin-Walled Structures, 46(4), 401–420.

  • Dinis, M. L., Silvestre, N., & Camotim, D. (2007). Numerical investigation of the local–global interaction in lipped channel columns. Computers & Structures, 85(19–20), 1461–1474.

  • Dinis, M. L., Camotim, D., & Silvestre, N. (2006). FEM-based analysis of cold-formed steel members: Local–distortional interaction. Computers & Structures, 84(17–18), 1208–1227.

Yuezhao Pang | Engineering | Best Researcher Award

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Dr. Yuezhao Pang | Engineering | Best Researcher Award 

Engineer at Marine Design and Research Institute of China | China

Dr. Yuezhao Pang is a highly accomplished structural engineer at the Marine Design and Research Institute of China with a Ph.D. in Mechanics, whose expertise centers on impact dynamics, composite materials, and the development of advanced metal and non-metallic sandwich structures. His academic foundation and research journey reflect a commitment to understanding mechanical responses, energy absorption, and failure mechanisms under impact loading, combining both multi-scale experimentation and numerical simulations to address complex engineering problems. Professionally, he has completed five major research projects, engaged in three consultancy and industry-linked initiatives, and contributed significantly to the field through innovative solutions aimed at structural protection and crashworthiness, with applications in aerospace, transportation, and industrial safety. His research interests extend to dynamic and static compression of closed-cell PVC foams, exploring material properties under varying strain rates to design lightweight protective structures with improved resilience. Dr. Yuezhao Pang has produced a notable body of work with 17 publications indexed in reputed databases, amassing 139 citations by 136 documents with an h-index of 7, reflecting the quality and relevance of his research contributions. In addition, he has secured five patents that bridge the gap between theoretical advancements and practical applications, underscoring his strength in innovation-driven engineering. His research skills encompass advanced materials testing, computational modeling, mechanical characterization, and cross-disciplinary collaborations, making him a versatile and impactful researcher. While he has not yet accumulated extensive professional memberships, his strong collaborations and project outputs demonstrate leadership potential and dedication to advancing the field. Recognized for his significant contributions, Dr. Yuezhao Pang stands as a deserving recipient of research honors, and his future trajectory indicates immense promise in expanding global collaborations, enhancing high-impact publications, and shaping protective engineering solutions that benefit both academia and industry.

Profile: Scopus

Fuetured Publications:

  • Pang, Y., Wang, C., Zhao, Y., & Wang, X. (2025). Strain‐Rate Effects on the Mechanical Behavior of Basalt-Fiber-Reinforced Polymer Composites: Experimental Investigation and Numerical Validation. Materials, 18(15).

  • Pang, Y. (2022). Experimental study of basalt fiber/steel hybrid laminates: Low‐velocity impact characteristics with different lay-up structures. International Journal of Impact Engineering.

Jinzhu Shen | Engineering | Best Researcher Award

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Dr. Jinzhu Shen | Engineering | Best Researcher Award 

Doctor at Donghua University | China

Dr. Jinzhu Shen is a dedicated researcher and innovator in fashion design and intelligent manufacturing, focusing on integrating soft robotics and machine vision into textile automation. As a Ph.D. candidate at Donghua University and a visiting researcher at Universidad Politécnica de Madrid, she has established herself as a leading young scholar bridging technology with traditional apparel industries. Her professional experience as an R&D engineer at Rouchu Robotics reflects her applied expertise in developing robotic grippers and autonomous sewing systems. With patents, international conference presentations, and impactful journal publications, she contributes significantly to advancing automation in the fashion and textile field.

Profile:

Orcid

Education:

Dr. Jinzhu Shen’s academic journey is distinguished by progressive specialization in fashion design and technology. She began with a strong foundation at Jiangnan University, completing her bachelor’s and master’s degrees in fashion design, where she engaged in research on robotic applications in garment manufacturing. Currently pursuing her doctoral studies in fashion design at Donghua University, her academic path emphasizes intelligent textile production. She further expanded her global academic engagement as a visiting researcher at Universidad Politécnica de Madrid. This comprehensive educational trajectory demonstrates her commitment to interdisciplinary learning and applying scientific principles to transform fashion and textile industries.

Experience:

Dr. Jinzhu Shen’s professional experience combines academic research with industrial innovation. At Rouchu Robotics, she contributed to developing robotic arms and intelligent sewing systems, pioneering the use of soft robotic fingers for fabric handling. Her work included simulations of gripping forces, experimental validation, and vision-based automation for garment assembly. She has also engaged in significant funded research projects, collaborating with universities and industry partners to design intelligent quilting systems, autonomous sewing solutions, and advanced textile automation methods. Through her roles, she blends theory with practice, producing tangible results in industrial applications and enriching her doctoral research with practical expertise.

Research Interest:

Dr. Jinzhu Shen’s research interests center on digitizing and automating garment production using cutting-edge technologies. Specifically, she explores the integration of soft robotics, artificial intelligence, and machine vision to optimize fabric manipulation, alignment, and sewing. Her studies address challenges in fabric variability, grasping precision, and real-time control within textile processes. By applying intelligent algorithms and robotic systems, Shen seeks to eliminate manual limitations and enhance automation efficiency. Her work not only advances garment manufacturing but also contributes broadly to the fields of intelligent robotics and industrial engineering, offering sustainable and innovative solutions for next-generation smart manufacturing systems.

Awards and Honors:

Dr. Jinzhu Shen’s academic and professional journey, Shen has been recognized with multiple scholarships, merit awards, and research prizes. She received honors for academic excellence during her undergraduate and master’s studies, reflecting her consistent dedication to learning. Her doctoral research has been supported by prestigious scholarships, highlighting her innovation in textile automation. Additionally, she earned recognition for presenting outstanding research at national apparel science and technology conferences, where her work on soft robotics and garment automation was distinguished. These accolades underline her strong scholarly potential, research excellence, and contributions to advancing both theory and industrial practice.

Publications:

Title: Research progress of automatic grasping methods for garment fabrics
Citation: 6
Year of Publications: 2023

Title: Automatic grasping technology and arrangement method for garment cutting pieces
Citation: 2
Year of Publications: 2023

Title: Arrangement of soft fingers for automatic grasping of fabric pieces of garment
Citation: 7
Year of Publications: 2022

Title: Grasping model of fabric cut pieces for robotic soft fingers
Citation: 17
Year of Publications: 2021

Title: Design and ergonomic evaluation of flexible rehabilitation gloves
Citation: 18
Year of Publications: 2020

Conclusion:

Dr. Jinzhu Shen represents an emerging leader in intelligent garment manufacturing and textile automation. Her academic excellence, industrial experience, and global collaborations highlight her as a strong candidate for recognition. Through her pioneering work in soft robotics and intelligent vision systems, she has contributed to bridging traditional craftsmanship with modern digital technologies. Her innovative publications, patents, and awards reflect both scientific merit and real-world impact. Shen’s profile embodies the qualities of a future-oriented researcher who is shaping the transformation of textile engineering and ensuring its sustainable evolution in the age of smart manufacturing.

Uzma Amin | Engineering | Best Researcher Award

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Dr. Uzma Amin | Engineering | Best Researcher Award

Lecturer at Curtin University, Australia.

Dr. Uzma Amin 🎓 is a passionate Lecturer in Electrical Engineering ⚡, with a Ph.D. in the field and over a decade of commitment to academia and applied research. She actively contributes to education through curriculum development and international teaching collaborations 🌍. As a member of IEEE, WIE, and the Young Professional Engineers network 👩‍💻, she also plays a key role in professional communities. Her work bridges academia and industry through hands-on supervision of student-industry projects 🔧. In addition to her technical contributions, she is a committed reviewer and volunteer, driving innovation and empowerment in engineering education 🚀.

Professional Profile:

Scopus

Google Scholar

Suitability For Best Researcher award – Dr. Uzma Amin

Dr. Uzma Amin exemplifies the ideal candidate for the Best Researcher Award through her balanced contributions in research, academia, industrial collaboration, and international teaching. With a Ph.D. in Electrical Engineering, she maintains a strong publication record, participates actively in global professional networks (IEEE, WIE), and has shown leadership and innovation in curriculum design and engineering education. Her research, which aligns with sustainable and impactful themes like renewable energy integration, electrical power systems, and smart grids, is both applied and interdisciplinary, reinforcing her significance in today’s technological landscape.

📘 Education & Experience

  • 🎓 Ph.D. in Electrical Engineering

  • 👩‍🏫 Lecturer in Electrical Engineering

  • 🌐 Taught postgraduate units at Curtin and Yanshan University under international collaboration

  • 📚 Developed and redesigned undergraduate and postgraduate engineering curricula

  • 🔬 23 research publications in indexed journals

  • 🤝 Supervised industrial projects with Regen Pvt Ltd, Rio Tinto, Partum Engineering, and EPC Australia

  • 🌍 Member of IEEE, WIE, and Young Professional Engineers

📈 Professional Development

Dr. Uzma Amin’s professional development reflects her proactive pursuit of excellence in engineering education and practice 🌟. She received the prestigious FHEA fellowship in 2022 🎖️, recognizing her pedagogical innovation. As a vice-chair of IEEE WIE WA section in 2023, she actively organized workshops and networking events 🤝. Her consistent role as a reviewer for top-tier journals like IEEE Access and Elsevier’s Applied Energy 📑 illustrates her influence in academic circles. Her teaching, curriculum innovation, and industrial partnerships exemplify a progressive career dedicated to both research impact and engineering education transformation 💡.

🔬 Research Focus Category

Dr. Uzma Amin’s research lies primarily in Electrical Power Systems and Renewable Energy Integration ⚡🌱. Her work addresses real-world engineering problems through applied research, with a strong emphasis on renewable power generation systems, electrical machines, and energy systems optimization 🔋. With 23 publications, she contributes to fields intersecting smart grids, clean energy, and sustainable power infrastructure 🌍. Her industry collaborations with companies like Rio Tinto and Electric Power Conversions Australia underscore the applied nature of her research 🛠️. She also reviews work in computational energy analysis and advanced electrical systems, reflecting a technically diverse focus 📘.

🏅 Awards and Honors

  • 🎖️ FHEA Fellowship, 2022 – Recognized for excellence in higher education teaching

  • 👩‍💼 Vice-Chair, IEEE Women in Engineering (WIE), WA Section, 2023

  • 📝 Regular Reviewer for top journals (IEEE Access, Elsevier, MDPI, etc.)

Publication Top Notes

1. Optimal price based control of HVAC systems in multizone office buildings for demand response

  • Authors: U. Amin, M. J. Hossain, E. Fernandez

  • Journal: Journal of Cleaner Production

  • Volume: 270

  • Article No.: 122059

  • Cited by: 67

  • Year: 2020

  • Summary: This paper proposes a price-based control strategy for HVAC systems in multizone office buildings to enhance energy efficiency and responsiveness in demand-side management under smart grid settings.

2. Computational tools for design, analysis, and management of residential energy systems

  • Authors: K. Mahmud, U. Amin, M. J. Hossain, J. Ravishankar

  • Journal: Applied Energy

  • Volume: 221

  • Pages: 535–556

  • Cited by: 52

  • Year: 2018

  • Summary: The article surveys and evaluates various computational tools that assist in designing and managing residential energy systems, particularly under the influence of emerging distributed energy resources.

3. Integration of renewable energy resources in microgrid

  • Authors: M. Ahmed, U. Amin, S. Aftab, Z. Ahmed

  • Journal: Energy and Power Engineering

  • Volume: 7 (1)

  • Pages: 12–29

  • Cited by: 44

  • Year: 2015

  • Summary: This study discusses the integration strategies of renewable energy sources in microgrids and addresses the associated challenges and opportunities from technical and economic perspectives.

4. Design, construction and study of small scale vertical axis wind turbine based on a magnetically levitated axial flux permanent magnet generator

  • Authors: G. Ahmad, U. Amin

  • Journal: Renewable Energy

  • Volume: 101

  • Pages: 286–292

  • Cited by: 39

  • Year: 2017

  • Summary: This work presents a detailed design and performance analysis of a small-scale vertical axis wind turbine, incorporating a magnetically levitated generator to reduce friction and improve energy efficiency.

5. Energy trading in local electricity market with renewables—A contract theoretic approach

  • Authors: U. Amin, M. J. Hossain, W. Tushar, K. Mahmud

  • Journal: IEEE Transactions on Industrial Informatics

  • Volume: 17 (6)

  • Pages: 3717–3730

  • Cited by: 37

  • Year: 2020

  • Summary: The paper develops a contract-theoretic framework for local energy trading in a renewable-integrated smart grid setting, ensuring fair pricing and demand satisfaction.

6. Performance analysis of an experimental smart building: Expectations and outcomes

  • Authors: U. Amin, M. J. Hossain, J. Lu, E. Fernandez

  • Journal: Energy

  • Volume: 135

  • Pages: 740–753

  • Cited by: 34

  • Year: 2017

  • Summary: This study presents real-time data and performance evaluation of an experimental smart building, highlighting discrepancies between expected and actual outcomes in energy consumption and management.

🧾 Conclusion

In conclusion, Dr. Uzma Amin’s career trajectory, research excellence, and international impact make her an outstanding contender for the Best Researcher Award. Her ability to merge technical depth with practical relevance, academic influence, and community engagement embodies the spirit of a researcher committed not just to discovery but also to societal and industrial transformation. Recognizing her with this award would celebrate a truly multidimensional and forward-thinking scholar. 🏆

Samira Azizi | Engineering | Best Researcher Award

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Ms. Samira Azizi | Engineering | Best Researcher Award

Ph.D candidate at Politecnico di Milano, Italy.

Samira Azizi 🎓 is a Ph.D. candidate at Politecnico di Milano 🇮🇹, specializing in smart structural control and vision-based structural health monitoring (SHM) 🏗️📹. Her work focuses on enhancing earthquake resilience through real-time damage detection and adaptive stiffness systems 🌐⚙️. She has contributed significantly to full-field motion estimation using video data and advanced optimization techniques such as particle swarm algorithms 🧠📈. As a dedicated researcher, Samira serves on editorial boards 📚, reviews for prestigious journals ✍️, and engages in innovative, non-contact SHM technologies. Her passion lies in bridging advanced engineering with intelligent monitoring solutions 🌍💡.

Professional Profile:

Scopus

ORCID

Suitability For Best Researcher Award:

Samira Azizi is highly suitable for the Best Researcher Award based on her cutting-edge research, interdisciplinary innovation, and global academic engagement. Her work bridges structural engineering, artificial intelligence, and computer vision, with a clear focus on non-contact, vision-based structural health monitoring (SHM) — a domain crucial for infrastructure safety in earthquake-prone regions. Her leadership as a peer reviewer and editorial board member, combined with impactful publications and innovative methodologies, demonstrate excellence and commitment to advancing civil engineering research.

🔹 Education & Experience

🎓 Education:

  • Ph.D. Candidate in Structural Engineering – Politecnico di Milano, Italy 🇮🇹

  • Research background in system identification, control systems, and structural health monitoring 🏗️

💼 Experience:

  • Short-term research contract (ongoing) at Politecnico di Milano 🔬

  • Peer reviewer for journals including PLOS ONE, Engineering Structures, and Experimental Mechanics 📰

  • Editorial board member of Frontiers in Built Environment 📖

  • Published multiple high-impact research papers in SCI/Scopus-indexed journals 📑

🔹 Professional Development

Samira Azizi has demonstrated exceptional professional growth through collaborative research projects and technical expertise in system dynamics and SHM technologies 🔍🤝. Her editorial roles and frequent peer reviewing across top journals reflect her critical thinking and in-depth knowledge 📘🔬. She continues to refine her research acumen by actively engaging in advanced image processing and video-based structural analysis 📹🧠. With a focus on non-contact, intelligent monitoring frameworks, she is also pursuing a research contract at Politecnico di Milano, enhancing her academic trajectory 🚀. Samira’s constant pursuit of innovation and precision defines her as a rising star in engineering research 🌟📐.

🔹 Research Focus Area

Samira’s research centers on vision-based structural identification and control systems 🎥🏗️. Her innovative work bridges civil engineering with artificial intelligence and image processing 🤖📸, aiming to improve structural integrity assessment without physical sensors. She develops non-contact, video-based motion estimation frameworks that track both macro and subpixel movements, ideal for real-time damage detection ⚡🔧. By integrating tools like particle swarm optimization and complexity pursuit, her studies push forward the field of output-only modal analysis 🌀📉. Her goal is to create sustainable, smart monitoring systems for resilient infrastructure in seismically active regions 🌍🛠️.

🔹 Awards & Honors

🏆 Awards & Recognitions:

  • ✨ Selected editorial board member – Frontiers in Built Environment

  • 🏅 Reviewer for reputed journals: PLOS ONE, Engineering Structures, Experimental Mechanics, etc.

  • 📝 Multiple peer-reviewed journal publications in top-tier SCI/Scopus outlets

  • 🎓 Invited speaker and contributor at international conferences (e.g., ECSA-10)

  • 🌐 Recognized for developing innovative semi-active stiffness control systems and full-field video measurement techniques

Publication Top Notes

Article Title:

Structural Identification Using Digital Image Correlation Technology

Authors:

  • Samira S. Azizi

  • Kaveh K. Karami

  • Stefano S. Mariani

Published in:

Engineering Proceedings, 2023
Access: Open Access (Link currently disabled)

Abstract Summary

This paper explores the application of Digital Image Correlation (DIC) technology for structural identification in engineering systems. DIC is a non-contact optical method used to measure deformation, displacement, and strain by tracking speckle patterns on the surface of materials. The study focuses on the implementation of DIC to assess the structural response under various loading conditions. Through experimental validation and comparative analysis, the authors demonstrate the effectiveness of DIC in enhancing the accuracy and reliability of structural health monitoring techniques.

🏁 Conclusion:

Samira Azizi exemplifies the qualities of a Best Researcher Award recipient. Her interdisciplinary approach, scientific rigor, and global academic engagement place her at the forefront of innovation in structural engineering. She is not only shaping the future of smart infrastructure but also elevating the standards of academic research and collaboration. Awarding her this recognition would honor a truly transformative contributor to engineering science.

JUN WON HO | Computer Engineering | Best Researcher Award

Posted on by Phenomenological Research Awards

Dr. JUN WON HO | Computer Engineering | Best Researcher Award

Research Fellow at Incheon National University, South Korea.

Dr. Jun Won-Ho 🎓 is a dedicated Research Fellow at Incheon National University, South Korea 🇰🇷. He earned his Ph.D. in Computer Engineering in February 2023 🧠, focusing on sleep pattern analysis in an unconscious, non-intrusive state 🛏️. His innovations aim to revolutionize sleep health through biosensor-based technologies 💡. With peer-reviewed publications in SCI-indexed journals 📚 and a patent on body weight estimation while lying in bed 🧾, Dr. Jun is making sleep monitoring accessible and home-based. His work bridges healthcare and engineering, offering practical solutions for sleep apnea detection 🩺 using biosensors and ambient signals 🌐.

Professional Profile:

ORCID

Suitability for Best Researcher Award – Dr. Jun Won-Ho

Dr. Jun Won-Ho is highly suitable for the Best Researcher Award due to his pioneering research at the intersection of biomedical engineering and computer science. Despite being an early-career researcher, he has demonstrated remarkable innovation and scientific productivity, especially in the field of non-intrusive sleep health monitoring. His Ph.D. and postdoctoral work have resulted in SCI-indexed journal publications, a granted patent, and the development of AI-based, contact-free technologies to address global health concerns like sleep apnea—showing both originality and real-world impact.

🎓 Education and Experience

  • 🎓 Ph.D. in Computer Engineering – Incheon National University (2023)

  • 🧪 Research Fellow – Incheon National University (Current)

  • 📄 Published in SCI-indexed journals – Including Sensors

  • 🛏️ Doctoral Research – Focused on unobtrusive sleep pattern analysis

  • 🔬 Ongoing Research – Development of self-screening technology for sleep apnea

  • 🧾 Patent Holder – System for estimating body weight while lying on a bed

🚀 Professional Development

Dr. Jun Won-Ho has significantly contributed to the field of sleep science and biomedical engineering 🧠. His journey began with a strong academic foundation in computer engineering 🎓, which he has transformed into impactful research focused on real-world health challenges 🩺. He has authored articles in SCI-indexed journals 📚 and currently works on a cutting-edge sleep apnea screening solution using biosensors and environmental data 🌙📊. His patented invention 🧾 and active engagement in non-contact health monitoring technologies reflect his innovative mindset and commitment to improving global health accessibility 🌍💡.

🧬 Research Focus Category

Dr. Jun Won-Ho’s research falls under the category of Biomedical Engineering and Sleep Science 🧠🛌. He is especially focused on unobtrusive health monitoring, developing systems that use biosensors, physiological signals, and environmental data to analyze sleep patterns and detect sleep disorders like apnea 😴🩺. His goal is to eliminate the need for intrusive clinical testing such as polysomnography 🧪 and instead offer home-based, AI-powered health solutions 🌐📲. His patented work on weight estimation during sleep complements his broader mission of advancing digital health technologies for continuous, contact-free care 🧾💡.

🏅 Awards and Honors

  • 🧾 Patent Granted – System for Estimating Body Weight While Lying on a Bed (KR 10-2556030)

  • 📄 SCI-Indexed Publications – Published 2 articles in renowned journals like Sensors

  • 📌 Ph.D. Achievement – Doctorate completed with impactful research in 2023

  • 🏆 Nominated for Best Researcher Award – For contributions to biomedical sleep technology

  • 🧠 Research Innovation Recognition – Development of non-contact sleep apnea screening system

Publication Top Notes

1. Detection of Sleep Posture via Humidity Fluctuation Analysis in a Sensor-Embedded Pillow

  • Published: April 30, 2025

  • Journal: Bioengineering

  • DOI: 10.3390/bioengineering12050480

  • Summary: This study introduces a novel method for detecting sleep posture by analyzing humidity fluctuations using sensors embedded in a pillow. The system monitors changes caused by respiration and perspiration, offering a non-invasive approach to sleep posture detection.

2. Sleep Pattern Analysis in Unconstrained and Unconscious State

  • Published: November 29, 2022

  • Journal: Sensors

  • DOI: 10.3390/s22239296

  • Citation Count: 6

  • Summary: This research analyzes sleep patterns in individuals without physical constraints or active awareness. Utilizing various sensors, the study collects physiological and environmental data to classify sleep stages, providing insights into natural sleep behaviors.MDPI

3. Multi-Sensor Data Fusion with a Reconfigurable Module and Its Application to Unmanned Storage Boxes

  • Published: July 19, 2022

  • Journal: Sensors

  • DOI: 10.3390/s22145388

  • Citation Count: 12

  • Summary: This paper presents a reconfigurable module for multi-sensor data fusion, applied to unmanned storage boxes. By integrating data from various sensors, the system enhances reliability and security in automated storage environments.

Conclusion

Dr. Jun Won-Ho exemplifies the qualities of a Best Researcher Award recipient through his innovative mindset, impactful biomedical applications, and commitment to global health technology advancement. His work is not only academically rigorous but also practically transformative, making essential health monitoring more accessible, affordable, and patient-friendly. He stands out as a rising star in biomedical engineering, well-deserving of this prestigious recognition.