Feng Sun | Biomedical Instrumentation | Research Excellence Award

Prof. Feng Sun | Biomedical Instrumentation | Research Excellence Award

Professor | Peking University | China

Dr. Sun Feng, an accomplished academic and researcher in electrical and automation engineering, serves as a senior faculty member at a leading technical institution, where he specializes in intelligent systems and advanced sensing technologies. He holds advanced degrees in electrical engineering with a concentration in control systems, complemented by specialized training in automation, signal processing, and computational modeling. His professional experience spans research leadership, project supervision, and collaborative industry–academia initiatives focused on smart infrastructure, condition monitoring, and predictive diagnostics. Dr. Sun’s research contributions include numerous peer-reviewed publications, applied innovations in system optimization, and advancements in data-driven methodologies for engineering applications, supported by editorial roles, technical committee service, and memberships in professional societies. He has received recognitions for research excellence, innovation, and academic leadership, alongside consultancy engagements and funded project involvement that demonstrate his broader societal and industrial impact. His scholarly profile is further evidenced by 6,622 citations, 262 indexed documents, and an h-index of 36.

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Featured Publications

Semih Beycimen | Robotics & Autonomous Systems | Research Excellence Award

Mr. Semih Beycimen | Robotics & Autonomous Systems | Research Excellence Award

Professor | International Telecommunication Union | Turkey

Semih Beycimen is a university lecturer at Istanbul Technical University with expertise in robotics, autonomous systems, and AI-driven vehicle technologies, supported by a strong academic background that includes a bachelor’s and master’s degree in mechanical engineering from Bursa Uludag University and a PhD in aerospace from Cranfield University, where he specialized in AI-based control, terrain traversability, and advanced sensing. His professional experience spans roles as a mechanical technology engineering expert, research assistant, and research fellow, contributing to projects involving vibration analysis, image processing, robotic system development, predictive maintenance, digital twin modelling, and autonomous navigation for ground and indoor robotic platforms. He has also played key roles in projects integrating radar and LiDAR sensing, developing indoor navigation algorithms, and advancing autonomous vehicle perceptual frameworks, supported by robust programming skills and extensive training in deep learning, ROS, and computational modelling. His professional profile is strengthened by multiple certifications, strong organizational and communication skills, and active engagement in research dissemination. At least line: 40 citations, 5 documents, and an h-index of 2.

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Featured Publications

 

Yaonan Dai | Robotics And Autonomous Systems | Research Excellence Award

Assoc. Prof. Dr. Yaonan Dai | Robotics And Autonomous Systems | Research Excellence Award

Associate Professor | Wuhan Institute of Technology | China

Dr. Dai Yaonan, Lecturer in the School of Mechanical and Electrical Engineering at the Wuhan Institute of Technology, is an expert in special robotics, high-temperature structural integrity, and nondestructive testing. He holds a Doctor of Engineering degree with specialization in intelligent mechanical systems and structural safety. His professional experience includes academic teaching, research guidance, and contributions to engineering projects involving advanced robotic technologies and structural performance evaluation, supported by leadership service within professional technical organizations. His research focuses on the design and optimization of special-purpose robotic systems, high-temperature behavior of critical materials, and innovative nondestructive testing methodologies. He has authored 17 peer-reviewed publications, including SCI-indexed articles, and his research continues to accumulate meaningful citation impact within the engineering and applied sciences community. His scholarly contributions also include three invention patents, a utility model patent, and an academic monograph. In addition to these achievements, he has been involved in academic reviews, professional memberships, and technical activities that reflect his dedication to advancing robotics, structural integrity, and engineering innovation.

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Featured Publications


Meta-learning Enhanced Classification of Complex Defects in Pressure Vessels

– Measurement Science and Technology (citation data not available)


Ir-YOLO: A Rotating Detection Method for High-Precision Sewage Pipeline Inspection

– Preprint (citation data not available)


Numerical Study of Solid–Gas Two-Phase Flow and Erosion Distribution in Glass Fiber-Reinforced Polymer Ball Valves

– Machines (1 citation)


High-Temperature Creep and Corrosion Behavior of 316LN Stainless Steel in Oxygen-Saturated Sodium

– Nuclear Engineering and Design (1 citation)


Property Changes of Chopped Glass Fiber-Reinforced Sheet Molding Compound Composite in Acid–Base Environment

– International Journal of Polymer Science (1 citation)

Arturo Sánchez Pérez | Signal & Image Processing | Best Researcher Award

Prof. Dr. Arturo Sánchez Pérez | Signal & Image Processing | Best Researcher Award

Porfesor Contratado Doctor | Universidad de Murcia | Spain

Arturo J. Sánchez Pérez, Profesor Contratado Doctor at the Universidad de Murcia, is a specialist in periodontology, implantology, and oral rehabilitation whose academic and clinical career integrates advanced dental practice with sustained scholarly contribution. He holds a Licenciatura en Medicina y Cirugía, a Doctorado in oral health sciences with specialization in morphometric and periodontal research, and a postgraduate Máster in Implantología y Rehabilitación Oral, complemented by extensive professional training in surgical, prosthetic, and aesthetic techniques. His professional experience spans roles as Profesor Asociado, Profesor Ayudante Doctor, Vicedecano de Odontología, and member of key academic leadership committees, including the commission responsible for curriculum development in dentistry. His research focuses on periodontal physiology, mucogingival and regenerative surgery, implant therapy, and diagnostic innovations, supported by numerous book chapters and pedagogical publications in periodontology. He has supervised multiple doctoral theses and master’s research projects, contributing to the advancement of clinical knowledge and evidence-based practice. His academic trajectory is further strengthened by participation in scientific symposia, involvement in university teaching programs across undergraduate and postgraduate levels, and engagement with professional dental societies, reflecting recognition within the broader odontological community.

Profile:  ORCID

Featured Publications

Arturo Sánchez-Pérez*, Masticatory efficacy following implant rehabilitation: objective assessment and patient perception through two-color mixing test and Viewgum software. Prosthesis, Accepted.

Arturo Sánchez-Pérez*, Efficacy of a deproteinized bovine bone mineral graft for alveolar ridge preservation: a histologic study in humans. Biomedicines, Accepted.

Arturo Sánchez-Pérez, Objective and subjective evaluation of masticatory efficiency in periodontal patients before and after basic periodontal therapy. Applied Sciences, Accepted.

Arturo Sánchez-Pérez, Evaluation of the Wachtel Healing Index and its correlation with early implantation success or failure. Applied Sciences, Accepted.

Dr. Hiroki Konno | Nanoelectronics & Nanomaterials | Research Excellence Award

Dr. Hiroki Konno | Nanoelectronics & Nanomaterials | Research Excellence Award

Associate Prof | Nano Life Science Institute (WPI Nano-LSI)/Kanazawa University | Japan

Dr. Hiroki Konno, Associate Professor at the Nano Life Science Institute of Kanazawa University, is a leading expert in single-molecule biophysics, high-speed atomic force microscopy, and nanoscale biomolecular analysis. He holds a doctoral degree from the Tokyo Institute of Technology with specialization in biochemical and biophysical mechanisms of protein molecular motors, followed by advanced postdoctoral training in the same field. His professional career includes academic appointments in chemical and biophysical research laboratories, where he contributed to major projects on ATP synthase regulation and nanoscale protein imaging, and he currently leads innovative research programs on protein structural dynamics, lipid–protein interactions, and ubiquitin-related molecular mechanisms. Dr. Konno’s research focuses on elucidating protein structure–function relationships using high-speed AFM and developing advanced methodologies for visualizing dynamic molecular processes, resulting in a substantial body of publications and impactful scientific contributions. His work includes collaborative projects with domestic and international research groups across multiple domains of nanoscience and molecular biology. He has achieved notable recognition through memberships in the Biophysical Society of Japan, the Japanese Biochemical Society, and the Molecular Biology Society of Japan, reflecting his professional standing and commitment to advancing nanoscale science. His publication record, collaborative leadership, and contributions to advancing nanoscale biomolecular imaging underscore his strong candidature for this award.

Profile: ORCID

Featured Publications

Hiroki Konno, Flexible Fitting to Infer Atomistic-Precision Models of Large-Amplitude Conformational Dynamics in Biomolecules from High-Speed Atomic Force Microscopy Imaging. ACS Nano., Accepted.*

Hiroki Konno, Seesaw protein: Design of a protein that adopts interconvertible alternative functional conformations and its dynamics. Proc. Natl. Acad. Sci. USA., Accepted.*

Hiroki Konno, ALZ-801 prevents amyloid β-protein assembly and reduces cytotoxicity: A preclinical experimental study. FASEB J., Accepted.*

Hiroki Konno, High-Speed Atomic Force Microscopy Reveals Fluctuations and Dimer Splitting of the N-Terminal Domain of GluA2 Ionotropic Glutamate Receptor-Auxiliary Subunit Complex. ACS Nano., 2024, Accepted.

Hiroki Konno, Structural Dynamics of E6AP E3 Ligase HECT Domain and Involvement of a Flexible Hinge Loop in the Ubiquitin Chain Synthesis Mechanism. Nano Lett., Accepted.

Dr. Songsong Guo | Quantum Computing  | Young Innovator Award

Dr. Songsong Guo | Quantum Computing  | Young Innovator Award

Engineer | Xi'an Rare Metal Materials Research Institute Co., Ltd | China

Dr. Songsong Guo, a materials engineering specialist and Engineer at the Northwest Institute for Nonferrous Metal Research, is recognized for his expertise in advanced joining technologies, corrosion-resistant alloys, and nuclear-grade zirconium and titanium materials. He holds a doctorate in Materials Science and Engineering with a specialization in materials joining, supported by rigorous research training that shaped his proficiency in microstructure analysis, finite-element simulation, and corrosion-mechanism evaluation. His professional experience includes leading projects on Si₃N₄/316L stainless-steel brazed joints, dynamic corrosion testing of nuclear materials, and the development of high-performance zirconium alloys, along with key contributions to high-temperature alloy–ceramic joining and wear-resistant components for continuous dissolvers. Dr. Guo’s research focuses on multi-layer brazing design, residual-stress mitigation, joint reliability, and alloy corrosion behavior, resulting in multiple high-impact publications, an authorized patent, and significant advancements in corrosion-resistant material systems. His work is strengthened by active participation in multidisciplinary teams, development of experimental systems, and contributions to scientific innovation and materials-performance evaluation. He continues to advance the field through impactful research outputs, leadership in project execution, and engagement in the broader scientific community. He has achieved 223 citations across 184 documents, authored 13 publications, and holds an h-index of 10.

Profile: Scopus 

Featured Publications

Guo, Songsong*, Breakdown mechanism of MoO₃ passive film: Electrochemical measurements and first-principles calculations. Computational Materials Science, Accepted.

Guo, Songsong*, Microstructure and corrosion behavior of Si₃N₄/316L joints brazed with Ag-Cu/Ag/Mo/Ag/Ag-Cu-Ti multilayer filler. Electrochimica Acta, Accepted.

Guo, Songsong*, Residual stress, microstructure and corrosion behavior in the 316L/Si₃N₄ joint by multi-layered braze structure—experiments and simulation. Ceramics International, Accepted.

 

Mr. Leiwei Zhu | Power Electronics Involves | Research Excellence Award

Mr. Leiwei Zhu | Power Electronics Involves | Research Excellence Award

Senior Engineer | CRRC QINGDAO SIFANG CO., LTD | China

Zhu Leiwei, a Senior Engineer at CRRC Qingdao Sifang, specializes in vibration and noise control for rail transportation systems, applying his expertise to enhance the acoustic performance and reliability of high-speed rolling stock. Holding a master’s degree with specialization in vibration and noise control, he has developed strong technical competence in designing and optimizing noise-reduction structures and diagnosing abnormal acoustic behaviors in advanced rail vehicles. His professional experience spans high-speed EMUs and maglev systems, where he has contributed to major engineering projects focused on reducing vehicle noise, improving passenger comfort, and ensuring system safety. He has led work on integrated acoustic-material-electrical solutions for EMU motor noise control, achieving notable reductions in operational noise levels and contributing to improved system stability. His research includes publications and multiple patented innovations, reflecting his contributions to rail-vehicle vibration mitigation and structural acoustic optimization. He has participated in collaborative technical evaluations, supported engineering standardization efforts, and engaged with professional communities connected to rail technology and noise control engineering. His work has been acknowledged through institutional recognition and involvement in scholarly review activities, demonstrating his commitment to advancing high-performance, sustainable rail transit technologies. 30 Citations, 12 Documents, 3 h-index, View h-index button is disabled in preview mode

Profile: Scopus 

Featured Publications

Zhu Leiwei, Study on noise control and safety assessment of an EMU motor. High Speed Railway, Accepted.*

Zhu Leiwei, Vibration and noise control strategies for high-speed EMU systems. Rail Vehicle Dynamics, Under Review.

Zhu Leiwei, Acoustic–electromechanical coupling analysis for rail-vehicle motor noise optimization. J. Rail Transit Eng., In Preparation.

Mr. Qiaosheng Pan | Piezoelectric Precision Drive | Research Excellence Award

Mr. Qiaosheng Pan | Piezoelectric Precision Drive | Research Excellence Award

Professor | Institute of Instrumentation Science and Optoelectronic Engineering, Hefei University of Technology | China

Qiaosheng Pan, an Associate Professor at the Institute of Instrumentation Science and Optoelectronic Engineering, Hefei University of Technology, is a specialist in precision mechanical design, piezoelectric transducers, sensors, and actuators. He holds a B.E. in mechanical engineering and automation from the University of Jinan and a Ph.D. in instrumentation and optoelectronic engineering from the University of Science and Technology of China. His professional experience includes leading numerous national and provincial research projects, authoring a technical monograph, and contributing extensively to the development of advanced piezoelectric motors, pumps, and actuators. He has published widely in SCI and Scopus-indexed journals, with research spanning resonant piezoelectric systems, high-precision displacement mechanisms, and novel actuator architectures, supported by multiple granted patents that advance intelligent detection and precision instrumentation. He has served as a young editor for an academic journal, contributed to major national research collaborations, and holds senior membership in the Chinese Society for Mechanical Engineering. His work integrates design innovation, structural optimization, and experimental validation, significantly shaping next-generation high-precision devices while supporting talent development and engineering practice. 834 citations, 90 documents, 15 h-index.

Profiles: Scopus

Featured Publications

Pan, Qiaosheng*, Development of a type of cross-scale piezoelectric screw motor operating in quasi-static and resonant states. Mechatronics, 2025.

Pan, Qiaosheng*, Design method and error analysis of 3D measurement system in accordance with the Abbe principle. Measurement, 2025.

Pan, Qiaosheng*, Array-structured microcapsule fibers for efficient fire extinguishing in confined spaces. Lab on A Chip, 2025.

Pan, Qiaosheng*, Development of a low-stiffness and high-dynamic micro–nano probe utilizing the eddy current damper. IEEE Sensors Journal, 2025.

Pan, Qiaosheng*, Advancements in manufacturing and applications of multi-dimensional micro-nano materials through interface shearing. (Review, Open Access).

Prof. Fazhi Song | Control Systems | Research Excellence Award

Prof. Fazhi Song | Control Systems | Research Excellence Award

Professor | Harbin Institute of Technology | China

Dr. Fazhi Song, a Professor at the Harbin Institute of Technology specializing in control science, motion control, and precision engineering, is an accomplished researcher whose work advances high-end manufacturing and ultra-precision motion systems. He holds advanced degrees culminating in a Ph.D. in Control Science and Engineering, with academic training focused on system identification, learning control, and precision motion technologies. Throughout his professional career, he has led major research initiatives in motion generation, performance control, and accuracy retentivity for advanced manufacturing equipment, contributing to national and provincial projects and collaborating with leading industrial partners on precision motion systems. His research centers on high-precision mechanical servo systems, uncertainty-robust learning control, multi-DOF motion coordination, and advanced control strategies for lithography-level equipment, supported by a strong record of publications, patents, and technical innovations. He has authored numerous peer-reviewed articles, contributed to an academic monograph, and advanced methodologies widely cited in the fields of precision engineering and automation, reflected through 45 citations, 9 documents, and an h-index of the candidate. His achievements include significant awards from national academic societies recognizing technological innovation, along with contributions as a guest editor for respected journals, session chair for international conferences, and active membership in IEEE and major professional automation and instrumentation societies. Dr. Song’s leadership in research, editorial service, and professional engagement underscores his commitment to advancing ultra-precision control technologies and cultivating scientific excellence in the global engineering community.

Profiles: Scopus | ORCID

Featured Publications

Song, Fazhi, A compensation method for electromagnetic hysteresis: Application in linear reluctance actuator. J. Magn. Magn. Mater., 2025.*

Song, Fazhi, Crest factor minimization of multisine signals based on the Chebyshev norm approximation method: With application to wafer stage FRF identification. Results Eng., 2025.*

Song, Fazhi, Identification for Precision Mechatronics: An Auxiliary Model-Based Hierarchical Refined Instrumental Variable Algorithm. Int. J. Robust Nonlinear Control., 2025.*

Song, Fazhi, Beyond Performance of Learning Control Subject to Uncertainties and Noise: A Frequency-Domain Approach Applied to Wafer Stages. IEEE/CAA J. Autom. Sinica., 2025, 5 citations.*

 

Dr. Yong Bai | Photonic & Optoelectronic Devices | Innovative Research Award

Dr. Yong Bai | Photonic & Optoelectronic Devices | Innovative Research Award

Assistant researcher | Aerospace Information Research Institute | China

Yong Bai, an Assistant Researcher at the Aerospace Information Research Institute of the Chinese Academy of Sciences, is a specialist in high-power laser parametric testing technology with a strong academic foundation supported by a PhD in Mechanical Engineering. He has developed significant expertise through his work on high-energy, continuous, and pulsed laser damage testers, contributing to the advancement of precision laser measurement systems and leading the development of a high-energy laser micro-spot dynamic characteristics measurement instrument. His professional experience includes multiple research projects, industry-related consultancy activities, and the creation of several patented or patent-pending technologies, reflecting both technical capability and a commitment to innovation. His research focuses on high-power laser diagnostic methods, emphasizing accuracy, anti-damage probe design, and solutions to nonlinear distortion challenges in complex laser environments. He has authored numerous publications in reputable indexed journals and serves as an editorial reviewer, demonstrating active engagement with the scientific community. His notable contribution includes proposing a highly anti-damage probe based on a micro-porous cavity structure combined with high-precision scattered-light sampling technology, significantly improving the reliability of high-energy laser testing. Through his scholarly work, technical achievements, and professional service, he has established a strong profile as a researcher dedicated to advancing laser measurement and diagnostics in support of scientific and engineering progress.

Profiles: Scopus | ORCID

Featured Publications

Yong Bai*, Innovative rotating hollow needle design for accurate measurement of high-power laser microspots. Optics and Laser Technology, Accepted.

Yong Bai*, Innovative rotating hollow needle design for accurate measurement of high-power laser microspots. Optics and Laser Technology, 2025, 1(1), Article ID pending.

Yong Bai*, Innovative rotating hollow needle design for accurate measurement of high-power laser microspots. Optics and Laser Technology, In Press.