Richard Peiser | Urban Economics and Planning | Best Researcher Award

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Prof. Richard Peiser | Urban Economics and Planning | Best Researcher Award

Harvard University | United States

Dr. Richard B. Peiser is a distinguished academic and real estate professional, currently serving as the Michael D. Spear Professor of Real Estate Development in the Department of Urban Planning and Design at Harvard University’s Graduate School of Design. He earned a Ph.D. in Land Economy from the University of Cambridge, an MBA in Finance and Real Estate from Harvard Business School, and a BA in Economics with exceptional distinction from Yale University. His professional journey encompasses decades of academic and industry leadership, including faculty roles at the University of Southern California, Stanford University, and Southern Methodist University, where he directed major real estate development programs. Dr. Peiser’s research interests focus on real estate finance, urban development, land use planning, housing policy, and sustainable community design. His professional experience includes founding and managing multiple real estate ventures such as the Peiser Corporation and Magellan Value Partners, with major projects in housing, industrial, and mixed-use development across the United States and internationally. A highly regarded researcher and educator, he has advised leading financial institutions, corporations, and government bodies. Recognised with numerous honours, including the Best Researcher Award, Dr. Peiser continues to advance global real estate education and development through his scholarship, mentorship, and visionary contributions to urban planning.

Profile: Scopus

Featured Publications

Yousra Ahmed | Prosthodontics | Best Researcher Award

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Dr. Yousra Ahmed | Prosthodontics | Best Researcher Award

King Salman International University | Egypt

Dr. Yosra El-Sayed Ahmed is an accomplished Egyptian dental scholar and Assistant Professor of Prosthodontics at the Faculty of Oral and Dental Medicine, King Salman International University. She holds a Bachelor of Dental Medicine and Surgery from Ain Shams University, a Master’s degree in Prosthodontics from the same institution, and a Doctorate in Removable and Maxillofacial Prosthodontics from Al-Azhar University. Her academic journey reflects a deep commitment to excellence in dental education and clinical practice. Professionally, Dr. Ahmed has served as a course director and coordinator, assistant lecturer, and dental specialist, gaining extensive experience in prosthodontic instruction, clinical supervision, and curriculum development. Her research interests focus on maxillofacial prosthodontics, bruxism therapy, occlusal splints, and the application of low-level laser therapy in pain management. Skilled in LMS, SIS, and Teams educational platforms, she is proficient in academic programme planning, independent research, and digital dental education. She has presented at numerous national and international dental conferences and has published in reputed journals. Her dedication to teamwork, problem-solving, and effective communication complements her professional expertise. Recognised for her academic and clinical contributions, Dr. Ahmed continues to advance prosthodontic research and education, inspiring future dental professionals through her leadership and mentorship.

Profile: Googlescholar

Featured Publications

Choubani Karim | Applied Mechanics | Best Researcher Award

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Assoc. Prof. Dr. Choubani Karim | Applied Mechanics | Best Researcher Award

Imam Mohamed bin Saoud university | Saudi Arabia

Assoc. Prof. Dr. Karim Choubani is a dedicated academic and researcher with a strong background in mechanical engineering, combining international education, teaching, and applied research. He earned his doctorate from the Engineering School of Tunisia in collaboration with the Institute of Fluid Mechanics in Toulouse, following a master’s degree in industrial thermal systems with Marseille University and a mechanical engineering diploma through partnerships with universities in Italy. His professional journey spans roles as an assistant professor and trainer across Tunisia and Saudi Arabia, where he has taught courses such as statics, dynamics, vibration, thermodynamics, fluid mechanics, and automatic control while supervising undergraduate and graduate students. His research interests focus on heat and mass transfer in stratified flows, fluid instabilities, solar ponds, thermal and membrane desalination, nanotechnology in energy conversion, and visualization techniques for fluid systems. Over his career, he has been actively involved in research groups, project administration, and curriculum development, contributing to both academic advancement and applied technological innovation. His skills encompass experimental design, numerical modeling, energy systems, and interdisciplinary collaboration. Recognized for his commitment to education and research, he has received honors through international collaborations and institutional contributions. In conclusion, Karim Choubani exemplifies a scholar-practitioner dedicated to advancing mechanical engineering through teaching, research, and applied innovation.

Profile: ORCID

Featured Publications

Liang Luo| Civil Engineering | Best Scholar Award

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Dr. Liang Luo| Civil Engineering | Best Scholar Award

Luo Liang is a dedicated PhD student at the School of Civil Engineering, Harbin Institute of Technology, China. His work integrates cutting-edge research in structural engineering, focusing on bridge performance, concrete innovation, and seismic resilience. With a Master’s degree in Engineering and a robust academic trajectory, he has published 18 peer-reviewed articles, reflecting his deep expertise in structural stress analysis, recycled concrete materials, and bridge operation decision-making. Luo’s contributions span from experimental investigations to advanced finite element modeling, aiming to enhance infrastructure durability and sustainability. His research is both practical and forward-thinking, addressing challenges in modern construction through innovative material modification techniques such as nano-silica and mixed fibers. As a rising scholar in civil engineering, he demonstrates strong analytical skills, experimental precision, and a commitment to sustainable urban development, making notable impacts in the field of bridge engineering and green construction technologies.

Profile

🎓 Education

Luo Liang earned his Master of Engineering with a concentration in structural engineering, where he built a strong foundation in material mechanics, design principles, and infrastructure systems. Currently pursuing a PhD at the School of Civil Engineering, Harbin Institute of Technology (HIT), China, he is engaged in rigorous academic research that combines theoretical modeling with real-world applications. HIT, a prestigious institution ranked among China’s top engineering universities, provides Luo access to advanced laboratories and interdisciplinary collaboration. His doctoral studies focus on developing sustainable construction materials, evaluating seismic behavior of bridge structures, and decision-making for bridge operation and maintenance. Through his coursework, research projects, and collaborative publications, Luo has cultivated advanced knowledge in concrete technology, stress analysis, and infrastructure resiliency. His educational journey reflects his deep interest in structural innovation and environmental sustainability, with academic milestones consistently marked by technical excellence and research productivity in peer-reviewed platforms.

🧪 Experience

As a PhD researcher at Harbin Institute of Technology, Luo Liang brings several years of intensive academic and experimental experience in structural engineering. His work emphasizes hands-on analysis of bridge performance, material enhancement, and stress-state behavior under dynamic loads. Luo has co-authored 18 peer-reviewed research papers, collaborating with prominent scholars in experimental and numerical studies, including investigations on ultra-high-performance concrete (UHPC) and recycled aggregate concrete (RAC). His expertise extends to finite element modeling, ensemble learning methods for seismic performance prediction, and structural behavior simulations under vehicle-bridge interaction (VBI). Luo’s involvement in laboratory testing and real-world case studies has shaped his comprehensive understanding of civil infrastructure performance and control. Beyond technical execution, he has contributed to multidisciplinary research teams focused on resilience and sustainability in transportation systems. Through consistent innovation and application-driven research, Luo has emerged as a critical thinker and proactive contributor to the civil engineering research community.

🏅 Awards and Honors

While specific awards are not listed, Luo Liang’s academic recognition is evident in his publication record and research influence. With 18 peer-reviewed journal articles and over 2,900 citations (as of June 2025), his scholarly output speaks to the impact and quality of his contributions. He has been instrumental in projects that received institutional and departmental support for sustainable construction research, seismic performance analysis, and intelligent bridge monitoring. His high citation count and authorship in impactful studies on UHPC, recycled materials, and bridge seismic resilience suggest consistent acknowledgment by the global research community. Luo’s inclusion in collaborative research with well-established authors and reputable journals implies a strong academic reputation. As he advances in his career, he is likely to receive further accolades tied to green engineering, infrastructure resilience, and computational modeling. His rapid academic progression and scholarly productivity place him on a promising trajectory for future national and international recognition.

🔬 Research Focus

Luo Liang’s research focuses on advancing the durability, sustainability, and safety of civil infrastructure. His core interests include bridge operation and maintenance decision-making, structural stress-state analysis, seismic performance of reinforced concrete (RC) and steel-concrete composite bridges, and advanced concrete material modification. He investigates the mechanical properties and microstructural behavior of recycled aggregate concrete (RAC), enhanced using nano-silica and mixed fibers, aiming to improve emergency repair performance and reduce environmental impact. Luo also explores the dynamic interaction between vehicles and bridge systems (VBI), developing surrogate models using ensemble learning to predict seismic behavior more accurately. His methodological approach blends experimental techniques with finite element simulations, offering insights into load-bearing mechanisms and performance optimization. By addressing challenges in aging infrastructure and sustainability, Luo’s work contributes to safer, greener, and smarter structural systems, aligning with global priorities in civil engineering and disaster resilience. His research holds high relevance for both academia and practical infrastructure policy.

✅ Conclusion

Luo Liang is a promising structural engineering researcher whose work in sustainable materials, seismic modeling, and bridge maintenance significantly contributes to resilient and eco-efficient infrastructure systems, making him a valuable asset to the global civil engineering community.

Publications

 

 

 

 

Utpal Kanti Dhar | Spine Biomechanics | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Utpal Kanti Dhar | Spine Biomechanics | Best Researcher Award

Dr. Utpal Kanti Dhar is a Graduate Research Assistant at Florida Atlantic University, where he leads the Spine Biomechanics Laboratory. His work centers around converting CT scans into 3D anatomical models and employing finite element analysis (FEA) to improve implant design and surgical planning for spinal and shoulder conditions. He has contributed significantly to understanding lumbar degenerative diseases and shoulder arthroplasty, exploring new implant systems like Transdiscal Screw Systems. Dr. Dhar mentors students and collaborates with Boca Raton Regional Hospital to bridge clinical needs and biomechanical research. His scholarly output includes several publications in high-impact journals such as the European Spine Journal and Frontiers in Bioengineering. An active member of SMISS and ASPNS, Dr. Dhar continues to expand the frontier of musculoskeletal biomechanics through innovative modeling and analysis.

Profile

🎓 Education

Dr. Utpal Kanti Dhar is currently pursuing his doctoral research at Florida Atlantic University within the Department of Ocean and Mechanical Engineering. His academic path includes comprehensive training in biomedical and mechanical engineering, integrating clinical insights with advanced computational biomechanics. He specializes in using CT imaging and FEA to address real-world clinical challenges in spinal and shoulder surgeries. Through hands-on research in the Spine Biomechanics Lab, he not only develops biomechanical models but also provides training to undergraduate and graduate students in analytical techniques and medical imaging tools. While detailed undergraduate and master’s degree information is not listed, his current academic involvement demonstrates a high level of scholarly maturity and interdisciplinary expertise. His educational background is the foundation for his translational research aimed at improving patient-specific orthopedic care and implant innovation.

🧪 Experience

As a Graduate Research Assistant at Florida Atlantic University, Dr. Dhar is responsible for managing the Spine Biomechanics Laboratory. His work entails coordinating multiple research projects, mentoring students, and serving as a bridge between clinical needs and engineering solutions. He has led investigations into muscle modeling in spinal biomechanics, cage subsidence post-surgery, and biomechanical performance of novel implants for spinal fusion and shoulder arthroplasty. His consultancy involvement with Boca Raton Regional Hospital Foundation and the Helene and Stephen Weicholz Foundation underscores his engagement in clinically relevant research. Dr. Dhar’s practical experience in finite element modeling, combined with academic supervision, places him in a unique position at the intersection of research, education, and healthcare innovation. His collaboration with surgeons, engineers, and researchers supports his vision of improving surgical outcomes through data-driven implant optimization and evidence-based practices.

🏅 Awards and Honors

While Dr. Utpal Kanti Dhar has not listed specific individual awards, his academic impact is evident through his peer-reviewed publications in reputed journals such as European Spine Journal, Frontiers in Surgery, and Asian Spine Journal. His citation metrics (H-index: 5, i10-index: 2) reflect growing academic influence. His research has received support and recognition through funded collaborations with institutions like Boca Raton Regional Hospital Foundation and the Helene and Stephen Weicholz Foundation. Nominated for multiple award categories—including Distinguished Scientist and Best Researcher Awards—his work has contributed to the advancement of spinal implant technology and finite element analysis in orthopedics. His selection as a lead researcher in the Spine Biomechanics Laboratory itself is a testimony to his competence and leadership. He is also an active member of professional societies such as SMISS and ASPNS, affirming his standing in the broader biomechanics research community.

🔬 Research Focus

Dr. Dhar’s primary research lies at the intersection of clinical biomechanics and computational modeling. He focuses on optimizing surgical implants for spinal and shoulder disorders using 3D reconstruction and finite element analysis. His most notable contribution is in the evaluation of the Transdiscal Screw System (TSS), which he demonstrated to be biomechanically superior to conventional fixation systems for lumbar interbody fusion, particularly in cases of low-grade spondylolisthesis. His work extends to shoulder arthroplasty, where he assesses various implant placements such as inlay, onlay, and inset configurations. Dr. Dhar also studies postoperative phenomena like cage subsidence, and integrates muscle force modeling to enhance spinal simulations. He collaborates with clinicians and engineers to ensure real-world applicability of his research. His publications in leading journals validate the robustness of his findings, while his ongoing collaborations ensure continued innovation in biomechanical engineering and patient-specific care solutions.

✅ Conclusion

Dr. Utpal Kanti Dhar is an emerging leader in spine and shoulder biomechanics whose impactful research, strong clinical collaborations, and contributions to finite element modeling make him a deserving candidate for the Best Researcher Award and a valuable asset to the scientific community.

Publications

Lama AlKahlan | Dentistry – Finite element analysis | Innovative Research Award

Published on by Cognitive Scientist Awards

Dr. Lama AlKahlan | Dentistry – Finite element analysis | Innovative Research Award

Lama Ahmed Alkahlan is a dedicated PhD candidate in Orthodontics at King Saud University, Riyadh, Saudi Arabia. With a passion for advancing orthodontic care, she combines clinical expertise with innovative research to improve patient outcomes. Earning her Bachelor’s degree in General Dentistry with Excellence and First-Class Honors from King Saud University (2013-2019), Lama has consistently demonstrated academic excellence. She holds two U.S. patents for innovative dental devices and has published impactful research on orthodontic biomechanics and oral health-related quality of life. Her active participation in national and international conferences, including the Saudi Orthodontics Society Conference, AEEDC, and SIDC, reflects her commitment to lifelong learning and contribution to the global orthodontic community. In addition to her research, Lama serves as an invited speaker and actively engages in scientific exhibitions and hackathons, showcasing her leadership and vision for advancing dental sciences.

Professional Profile

Education

Lama Ahmed Alkahlan pursued her academic journey entirely at King Saud University, Riyadh. She earned her Bachelor Degree of General Dentistry (BDS) from 2013 to 2019, graduating with Excellence and First-Class Honors, showcasing her dedication to academic rigor and clinical proficiency. Building on this foundation, she embarked on a Doctorate of Science in Dentistry (DScD) in Orthodontics, which she is expected to complete between 2020 and 2025. Her education reflects a comprehensive blend of theoretical knowledge, clinical practice, and research innovation, aligning with global standards in orthodontics. Throughout her academic career, she has participated in specialized training, workshops, and seminars that enhance her clinical expertise and research capabilities, preparing her for a career at the forefront of orthodontic science. Her commitment to continuous education is further evidenced by her numerous contributions to scientific conferences and exhibitions.

Experience

Lama Ahmed Alkahlan’s professional experience is rooted in academic excellence, clinical practice, and research innovation. As a PhD candidate at the Department of Pediatric Dentistry and Orthodontics, King Saud University, she engages in advanced orthodontic clinical care while simultaneously conducting cutting-edge research. Her clinical practice is complemented by participation in various scientific conferences such as the Saudi Orthodontics Society Conference, AEEDC, and SIDC, where she both contributes knowledge and stays updated on global advancements. Lama has also actively participated in prominent exhibitions and hackathons, including the Saudi Hackathon for Health and MIT Saudi Hackathon for Health, reflecting her interdisciplinary approach and interest in healthcare innovation. Her invited speaker roles and contributions to university exhibitions underline her ability to translate complex scientific ideas to broader audiences, enhancing community engagement and educational outreach.

Research Interests

Lama Ahmed Alkahlan’s research focuses on clinical orthodontics, biomechanical innovations, and improving patient care outcomes. Her work includes extensive iterative finite element analysis of molar uprighting, offering novel methods for estimating clinical treatment time—critical for improving treatment predictability and efficiency. She is particularly interested in the intersection of clinical practice and engineering solutions, as reflected in her patented inventions. Her studies also explore the psychosocial impact of malocclusion on oral health-related quality of life among Saudi orthodontic patients, contributing valuable insights to patient-centered care models. Lama’s research bridges the gap between advanced computational modeling and practical clinical applications, aiming to optimize orthodontic interventions. Her multi-disciplinary approach includes collaboration with engineers, clinicians, and researchers, ensuring that her findings have both scientific rigor and direct clinical relevance.

Awards

Lama Ahmed Alkahlan’s career is marked by prestigious awards and significant innovations. She received the esteemed title of “The Ideal Student” from King Saud University’s College of Dentistry in May 2019, recognizing her outstanding academic and extracurricular contributions. She holds two U.S. patents: the Magnetic Dental Education Model (US 10096267 B1, 2018) and the Uprighting Dental Appliance (US 12274598 B1, 2025), demonstrating her commitment to advancing dental technology. Her participation in numerous national and international conferences has earned her recognition as a rising leader in orthodontics. Additionally, her research publications in respected journals, such as Applied Sciences (MDPI) and Bioscience Biotechnology Research Communications, highlight her scientific contributions. Lama’s blend of academic excellence, innovation, and leadership underscores her role as a promising future leader in the field of orthodontics.

Conclusion

Lama Ahmed Alkahlan exemplifies a new generation of orthodontic leaders, blending clinical expertise, academic excellence, innovative research, and technological advancement to elevate patient care standards and contribute meaningfully to global orthodontic science.

 Publications

  • Extensive Iterative Finite Element Analysis of Molar Uprighting with the Introduction of a Novel Method for Estimating Clinical Treatment Time

    Applied Sciences
    2025-06 | Journal article | Author
    DOI: 10.3390/app15126463
    CONTRIBUTORS: Lama AlKahlan; Naif A. Bindayel; Abdelhafid MALLEK; Mohamed Bendjaballah

  • Impacts of Malocclusion on Oral Health-Related Quality Among Saudi Orthodontic Patients

    Bioscience Biotechnology Research Communications
    2021-09-25 | Journal article
    DOI: 10.21786/bbrc/14.3.48
    Part of ISSN: 0974-6455
    Part of ISSN: 2321-4007
    CONTRIBUTORS: Huda Alkawari

Elyas Rostami | Mechanical Engineering | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Elyas Rostami | Mechanical Engineering | Best Researcher Award

Dr. Elyas Rostami is a distinguished faculty member at Buein Zahra Technical and Engineering University, specializing in Aerospace Engineering 🚀. With a solid academic background, he earned his B.Sc. in Mechanical Engineering 🛠️ from Mazandaran University, followed by an M.Sc. in Aerospace Engineering ✈️ from Tarbiat Modares University, and completed his PhD 🎓 at K. N. Toosi University of Technology. Dr. Rostami is an active researcher with numerous journal articles 📄, books 📚, and research projects 🔍 to his credit. His professional interests lie in aerospace propulsion systems, spray and atomization 💧, fluid mechanics 🌊, and sustainable energy applications ⚡. As a dedicated educator 👨‍🏫 and reviewer, he contributes to shaping future engineers while advancing scientific knowledge through research collaborations 🤝, publishing, and mentoring.

Profile

Education 🎓

Dr. Elyas Rostami holds a B.Sc. in Mechanical Engineering 🛠️ from Mazandaran University, laying the foundation for his technical expertise. He pursued his M.Sc. in Aerospace Engineering ✈️ at Tarbiat Modares University, where he refined his knowledge in aerodynamics, propulsion, and fluid mechanics 🌬️. Driven by academic excellence, he earned his Ph.D. in Aerospace Engineering 🚀 from K. N. Toosi University of Technology, specializing in thermodynamics, propulsion systems 🔥, and energy-efficient solutions 💡. His academic path reflects deep commitment to understanding advanced mechanical and aerospace systems 🔧. Through rigorous coursework, experimental research, and publications 📝, Dr. Rostami has cultivated profound expertise that bridges theory and practice 🧠💪, enabling him to address modern aerospace challenges with innovative thinking 🚀.

Experience 👨‍🏫

Dr. Elyas Rostami serves as a faculty member 👨‍🏫 at Buein Zahra Technical and Engineering University, where he imparts knowledge in Aerospace Engineering 🚀. His career spans academic teaching 📖, research leadership 🔬, article peer reviewing 🧐, and supervising research projects 🔍. He has authored multiple scientific papers 📝 and books 📚, advancing the field of propulsion systems, spray technology 💧, and fluid mechanics 🌊. Beyond academia, Dr. Rostami actively engages with industry via research collaborations 🤝 and applied projects that explore new energies 🌱 and aerospace applications ✈️. His professional journey demonstrates versatility and dedication, contributing both as an educator and innovator 🎓⚙️. His research passion and practical approach shape students into future-ready engineers, while his publications impact global scientific discourse 🌐.

Awards & Recognitions 🏅

Dr. Elyas Rostami’s career is marked by academic excellence and research distinction 🎖️. His scholarly contributions earned him recognition through research publications in reputable journals 🏅, invitations to review articles 🧐, and participation in collaborative research projects 🤝. He has authored a scientific book 📘 and continuously advances his field through active publishing and innovation 🌟. His expertise in aerospace propulsion 🔥 and fluid dynamics 🌊 has positioned him as a valued academic and research professional. The depth of his work reflects both national and international acknowledgment, solidifying his reputation as a committed and impactful researcher 🌍. Dr. Rostami’s work embodies passion for engineering, teaching excellence, and scientific advancement 💡🔬.

Research Interests 🔬

Dr. Elyas Rostami’s research focuses on fluid mechanics 🌊, aerospace propulsion systems 🚀, spray and atomization processes 💧, and the use of renewable energies in industrial applications 🌱. His investigations address the thermodynamics of propulsion systems 🔥, advancing efficiency and performance in aerospace technology ✈️. He integrates experimental and computational approaches 🖥️ to explore new energy solutions and optimize spray behavior under different conditions ⚙️. Through research projects 🔬, journal articles 📄, and book authorship 📚, he contributes to the understanding of modern aerospace challenges. Dr. Rostami’s work supports both academic progress and industrial innovation 💡, making significant strides in the development of sustainable and high-performance propulsion technologies 🌍🚀.

Publications 

Lichen Shi | Mechanical Engineering | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Lichen Shi | Mechanical Engineering | Best Researcher Award

 

Profile

Education

Lichen Shi (also written as Shi Lichen) is a distinguished Chinese researcher specializing in intelligent measurement, equipment status monitoring, fault diagnosis, and electromechanical system modeling. He was born on June 28, 1972, and is currently affiliated with the School of Mechanical and Electrical Engineering at Xi’an University of Architecture and Technology (XAUAT), China.

With a strong academic and research background, Professor Shi has dedicated his career to advancing intelligent measurement techniques through deep learning, as well as improving the reliability of electromechanical systems through fault diagnosis and dynamic analysis.

Academic Contributions

Professor Shi has published extensively in prestigious international journals, particularly in IEEE Sensors Journal, Measurement, and Computer Engineering & Applications. His notable works focus on deep learning-based fault diagnosis, graph neural networks, and AI-driven predictive modeling for mechanical systems.

Some of his key contributions include:

  • Developing an AI-based method for reading pointer meters using human-like reading sequences.
  • Proposing a graph neural network and Markov transform fields approach for gearbox fault diagnosis.
  • Introducing CBAM-ResNet-GCN methods for unbalance fault detection in rotating machinery.
  • Advancing domain transfer learning techniques for mixed-data gearbox fault diagnosis.
  • Pioneering a lightweight low-light object detection algorithm (CDD-YOLO) for enhanced industrial applications.

His research findings have contributed significantly to the optimization of industrial machinery, predictive maintenance, and AI-driven automation in electromechanical systems. Many of his publications are frequently cited, underlining their impact on the field.

Research Interests

Professor Shi’s research spans multiple cutting-edge areas, including:

  • Intelligent Measurement with Deep Learning
  • Equipment Status Monitoring and Fault Diagnosis
  • Electromechanical System Modeling and Dynamic Analysis

Professional Impact

As a leading expert in intelligent diagnostics and mechanical system optimization, Professor Shi has played a crucial role in bridging the gap between artificial intelligence and industrial engineering. His contributions have aided in the development of more efficient, predictive, and adaptive electromechanical systems, helping industries reduce downtime and improve operational efficiency.

Publication

  • [1] Qi Liu, Lichen Shi*. A pointer meter reading method based on human-like readingsequence and keypoint detection[J]. Measurement, 2025(248): 116994. https://doi.org/10.1016/j.measurement.2025.116994
  • [2] Haitao Wang, Zelin. Liu, Mingjun Li, Xiyang Dai, Ruihua Wang and LichenShi*. AGearbox Fault Diagnosis Method Based on Graph Neural Networks and MarkovTransform Fields[J]. IEEE Sensors Journal, 2024, 24(15) ：25186-25196. doi:
    10.1109/JSEN.2024.3417231
  • [3] Haitao Wang, Xiyang Dai, Lichen Shi*, Mingjun Li, Zelin Liu, Ruihua Wang , XiaohuaXia. Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault
    Diagnosis of Rotating Machinery[J]. IEEE Sensors Journal, 2024,12:34785-34799. DOI:
    10.1109/access.2024.3368755.
  • 4] Haitao Wang, Mingjun Li, Zelin Liu, Xiyang Dai, Ruihua Wang and Lichen Shi*. RotaryMachinery Fault Diagnosis Based on Split Attention MechanismandGraphConvolutional Domain Adaptive Adversarial Network[J]. IEEE Sensors Journal, 2024,
    24(4) :5399-5413. doi: 10.1109/JSEN.2023.3348597.
  • [5] Haitao Wang, Xiyang Dai, Lichen Shi*. Gearbox Fault Diagnosis Based onMixedData-Assisted Multi-Source Domain Transfer Learning under Unbalanced Data[J]. IEEESensors Journal. doi: 10.1109/JSEN.2024.3477929