Zhangcun Yan | automatic vehicle system | Best Researcher Award

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Dr. Zhangcun Yan | automatic vehicle system | Best Researcher Award

Research fellow,Tongji University, China

Zhangcun Yan is a Research Assistant at Tongji University, specializing in intelligent transportation systems. He earned his Ph.D. in Transportation from Tongji University (2024), an M.Sc. in Transportation Engineering from Southwest Jiaotong University (2018), and a B.Sc. in Transportation from Ningbo University of Technology (2015). As a visiting scholar at the University of Montreal (2023–2024), he expanded his expertise in AI-driven traffic safety solutions. His research focuses on applying computer vision and artificial intelligence to enhance urban mobility, traffic safety, and autonomous systems. Zhangcun has developed novel trajectory reconstruction methods, real-time road friction detection models, and risk assessment frameworks for mixed-traffic environments. His work has been published in top-tier journals such as Expert Systems with Applications and Traffic Injury Prevention. With a citation index of 44, he continues to push the boundaries of intelligent transportation, making significant contributions to reducing accidents and improving urban traffic management.

Profile.

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🎓 Education 

Throughout his academic journey, Zhangcun has been dedicated to integrating artificial intelligence with transportation engineering to enhance road safety and efficiency. His doctoral research led to the development of an innovative NONM trajectory reconstruction method, significantly improving vehicle movement analysis in complex traffic environments. His studies also focused on real-time detection of road surface friction coefficients, a crucial factor in preventing weather-related traffic accidents. Zhangcun’s multidisciplinary education bridges the gap between traditional traffic engineering and cutting-edge AI applications.

💼 Experience

Zhangcun Yan has extensive experience in transportation research, focusing on AI applications in intelligent mobility and road safety. At Tongji University, he spearheaded multiple projects, including real-time road friction detection and automated trajectory reconstruction for urban intersections. During his tenure as a visiting scholar in Canada, he collaborated with global experts to enhance traffic risk modeling. His expertise in integrating deep learning with computer vision has led to groundbreaking solutions for vehicle tracking and collision prediction. Zhangcun’s experience spans interdisciplinary research, algorithm development, and data-driven transportation analytics, contributing to next-generation urban mobility solutions.

🏆 Awards and Honors

Zhangcun Yan has received multiple accolades for his pioneering work in AI-driven transportation research. His paper on NONM trajectory reconstruction was recognized as the Best Research Paper at an international conference, reflecting his innovative approach to solving urban mobility challenges. He was also honored for his contributions to intelligent transportation solutions at Tongji University. His ability to bridge AI with real-world traffic safety applications has earned him recognition as one of China’s top emerging transportation researchers. These awards highlight his dedication to making roads safer and more efficient through AI-powered solutions.

🔬 Research Focus 

🚗 Trajectory Reconstruction & Analysis – Developed a high-precision NONM method to enhance vehicle trajectory accuracy using social force models and particle filtering.

 Road Surface Friction Detection – Created a real-time RSFC detection system using CNN-based vision models, improving road safety in adverse weather.

⚠️ Driving Risk Assessment – Designed an AI-based risk prediction framework for mixed-traffic environments, aiding in proactive accident prevention.

📹 Computer Vision for Traffic Monitoring – Implemented YOLOv7 and DeepSort algorithms for automated vehicle tracking and intersection analysis.

His interdisciplinary work integrates AI, deep learning, and transportation engineering, leading to more efficient urban traffic management and reduced road accidents. Zhangcun’s research continues to drive innovations in autonomous driving, intelligent traffic systems, and urban mobility safety.

Publications

🏎️ “Trajectory Reconstruction Using NONM and Social Force Models” – Expert Systems with Applications

🚦 “AI-Driven Road Surface Friction Estimation in Adverse Weather” – Alexandria Engineering Journal

🚘 “Collision Risk Prediction at Urban Intersections” – Traffic Injury Prevention

🚲 “Analyzing Mixed-Traffic Interactions Using Deep Learning” – Journal of Transportation Engineering

Conclusion

Zhangcun Yan is a strong contender for the Best Researcher Award in mechanics and transportation engineering. His work in computer vision, AI-driven risk modeling, and autonomous safety systems makes a significant contribution to the field. However, improving industry collaborations, patent filings, and professional memberships would further establish his standing as a leading researcher in intelligent transportation systems. If he continues expanding his research outreach and practical applications, he will be an even more influential figure in the domain.

 

 

Yuqin Wang | Mechanical system testing and control | Best Researcher Award

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Prof. Yuqin Wang | Mechanical system testing and control | Best Researcher Award

University teacher at  Chaohu University, China

🌟 Yuqin Wang is an associate professor in the School of Mechanical Engineering at Chaohu University, China. 🏫 With a passion for advancing engineering education, he has made significant contributions to the design of virtual simulation systems and mechanical system testing and control. 💻🔧 Yuqin has presided over five teaching and research projects and published multiple SCI-indexed papers that enhance the engineering practice abilities of students. 📚🎓 His innovative “One Body, Two Wings” virtual simulation teaching system combines online and offline resources, fostering student innovation and professional skills in intelligent manufacturing. 🤖✨ Yuqin’s dedication to integrating technology into teaching has made him a leading figure in modern engineering education.

 

Professional Profiles:

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Education 🎓

Postgraduate Degree in Mechanical Engineering Institution: Chaohu University Yuqin Wang completed his postgraduate studies focusing on mechanical system testing and control. His academic background reflects a strong commitment to integrating technology into traditional engineering disciplines, enabling innovative applications in teaching and research. ✨📚

Experience 💼

Associate Professor: Chaohu University Focused on virtual simulation, mechanical system testing, and control.  Implemented advanced teaching methodologies for intelligent manufacturing professionals.  Published 10+ SCI-indexed academic papers on engineering education.

Awards and Honors 🏆

Notable Contributions: Recognized for innovative virtual simulation teaching methodologies.  Publications: 10 SCI-indexed papers.

Research Focus 📚

Area: Virtual simulation design for intelligent manufacturing. Impact: Enhancing practical and cognitive engineering skills.

✍️Publications Top Note :

Optimization Design of Centrifugal Pump Flow Control System Based on Adaptive Control

Conclusion

Yuqin Wang is a strong contender for the Best Researcher Award due to his dedication to advancing mechanical system testing and virtual simulation. His research has significantly impacted engineering education and professional development. Addressing areas like patents, industry collaborations, and broader outreach can further solidify his position as an innovator and leader in his field.

Jinxia Zhang | Defect detection | Best Researcher Award

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Assoc Prof Dr. Jinxia Zhang | Defect detection | Best Researcher Award

 Associate Professor at Southeast University, China

Assoc Prof Dr. Jinxia Zhang is an Associate Professor at Southeast University, Nanjing, China, specializing in saliency detection, visual attention, computer vision, and deep learning. With a Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology, he has extensive experience in artificial intelligence research. His journey includes time as a visiting scholar at Harvard Medical School and numerous prestigious research projects funded by national foundations. Assoc Prof Dr. Jinxia Zhang leads key AI initiatives, driving innovations in multimodal understanding, defect analysis, and object detection. His academic and professional contributions have positioned him as a prominent researcher in visual computing and AI.

Publication Profile

scholar

Education 🎓

Assoc Prof Dr. Jinxia Zhang  earned his M.Sc. and Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology in 2015. His doctoral research laid a foundation for his interest in artificial intelligence, particularly in areas like visual attention and computer vision. Prior to his postgraduate work, he completed his B.Sc. in Computer Science and Technology at the same institution in 2009, where he developed a solid understanding of computational theories and applications. His education has provided him with both theoretical knowledge and practical skills that are central to his current research on AI and deep learning.Assoc Prof Dr. Jinxia Zhang  is currently an Associate Professor at Southeast University, Nanjing, a role he has held since 2019. From 2016 to 2019, he served as a Lecturer at the same university, where he significantly contributed to AI teaching and research. His early career included a prestigious stint as a Visiting Scholar at Harvard Medical School, USA, between 2012 and 2014, where he collaborated on cutting-edge AI-driven healthcare projects. His international exposure and academic roles have enriched his teaching and research, particularly in computer vision and AI, making him a key figure in the field.

Awards and Honors  🏆

Assoc Prof Dr. Jinxia Zhang  has received numerous accolades for his research excellence and contributions to the field of AI. He was awarded the National Natural Science Foundation of China grant in 2018 for his project on salient object detection. In 2017, he secured the Jiangsu Natural Science Foundation Grant for his innovative research on visual cognitive characteristics. Additionally, his work in defect diagnosis for photovoltaic modules was recognized as part of the National Key Research and Development Plan. These prestigious awards underscore his pioneering contributions in artificial intelligence and computer vision research.

Research Focus  🔬

Assoc Prof Dr. Jinxia Zhang ‘s research focuses on the intersection of visual attention, saliency detection, and deep learning within artificial intelligence. He leads projects on multimodal understanding and e-commerce applications, and is a Principal Investigator for research into AI-based fruit and vegetable recognition. His earlier work in defect diagnosis for photovoltaic modules and salient object detection in complex scenes has been supported by prominent grants. His innovative approach combines perceptual grouping and visual attention to develop cutting-edge solutions in computer vision, making significant advancements in how machines perceive and interact with visual data.

Conclusion

The candidate demonstrates an impressive body of work across several domains of artificial intelligence, particularly in salient object detection, visual cognition, and multimodal learning. Their academic achievements, project leadership, and dedication to advancing AI make them a strong contender for the Best Researcher Award. By continuing to broaden their industry collaborations and expanding the scope of their research impact, they can become a globally recognized leader in AI and computer vision.

Publication  Top Notes

  • Towards the Quantitative Evaluation of Visual Attention Models (2015)
    • Citation: 75
    • Journal: Vision Research
    • Key Contributors: Z. Bylinskii, E.M. DeGennaro, R. Rajalingham, H. Ruda, J. Zhang, J.K. Tsotsos
    • Highlights: Focuses on quantitative approaches to evaluate visual attention models, essential for improving saliency detection.
  • A Novel Graph-Based Optimization Framework for Salient Object Detection (2017)
    • Citation: 63
    • Journal: Pattern Recognition
    • Key Contributors: J. Zhang, K.A. Ehinger, H. Wei, K. Zhang, J. Yang
    • Highlights: Presents a new graph-based optimization method for enhancing the accuracy of salient object detection.
  • Salient Object Detection by Fusing Local and Global Contexts (2020)
    • Citation: 60
    • Journal: IEEE Transactions on Multimedia
    • Key Contributors: Q. Ren, S. Lu, J. Zhang, R. Hu
    • Highlights: This paper integrates both local and global visual contexts to refine salient object detection in multimedia applications.
  • Inter-Hour Direct Normal Irradiance Forecast with Multiple Data Types and Time-Series (2019)
    • Citation: 36
    • Journal: Journal of Modern Power Systems and Clean Energy
    • Key Contributors: T. Zhu, H. Zhou, H. Wei, X. Zhao, K. Zhang, J. Zhang
    • Highlights: Introduces a time-series forecasting model for direct normal irradiance, benefiting renewable energy systems.
  • Winter is Coming: How Humans Forage in a Temporally Structured Environment (2015)
    • Citation: 35
    • Journal: Journal of Vision
    • Key Contributors: D. Fougnie, S.M. Cormiea, J. Zhang, G.A. Alvarez, J.M. Wolfe
    • Highlights: Examines human visual foraging behavior in dynamically changing environments.
  • Domain Adaptation for Epileptic EEG Classification Using Adversarial Learning and Riemannian Manifold (2022)
    • Citation: 25
    • Journal: Biomedical Signal Processing and Control
    • Key Contributors: P. Peng, L. Xie, K. Zhang, J. Zhang, L. Yang, H. Wei
    • Highlights: This paper explores domain adaptation techniques to improve epileptic EEG classification through adversarial learning.
  • A Lightweight Network for Photovoltaic Cell Defect Detection in Electroluminescence Images (2024)
    • Citation: 23
    • Journal: Applied Energy
    • Key Contributors: J. Zhang, X. Chen, H. Wei, K. Zhang
    • Highlights: Develops a lightweight neural network for detecting defects in photovoltaic cells using knowledge distillation.
  • Salient Object Detection via Deformed Smoothness Constraint (2018)
    • Citation: 21
    • Journal: IEEE International Conference on Image Processing (ICIP)
    • Key Contributors: X. Wu, X. Ma, J. Zhang, A. Wang, Z. Jin
    • Highlights: Proposes a deformed smoothness constraint approach for improving salient object detection.
  • Character Recognition via a Compact Convolutional Neural Network (2017)
    • Citation: 20
    • Conference: International Conference on Digital Image Computing
    • Key Contributors: H. Zhao, Y. Hu, J. Zhang
    • Highlights: Develops a compact CNN for robust character recognition in natural scene images.
  • A Prior-Based Graph for Salient Object Detection (2014)
    • Citation: 23
    • Conference: IEEE International Conference on Image Processing (ICIP)
    • Key Contributors: J. Zhang, K.A. Ehinger, J. Ding, J. Yang
    • Highlights: Uses a prior-based graph model to enhance the performance of salient object detection algorithms.

Jeffrey Ardell | Neurocardiology | Best Researcher Award

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Prof Dr. Jeffrey Ardell | Neurocardiology | Best Researcher Award

Professor of Medicine at UCLA, United States

This extensive professional profile highlights a distinguished academic and research career in physiology, pharmacology, and neurocardiology. After completing a B.A. in Biology from Colorado College (1975) and a Ph.D. in Physiology from the University of Washington (1980), the individual progressed through key positions in academia. Starting as a Research Associate at Michigan State University (1980-1982), they held professorial roles at the University of South Alabama and East Tennessee State University before their current tenure as Professor-in-Residence at UCLA, where they co-direct the UCLA Cardiac Arrhythmia Center and the UCLA Neurocardiology Research Program of Excellence.

Publication Profile

scholar

Education

B.A. in Biology (1975) from Colorado College.Ph.D. in Physiology (1980) from the University of Washington.

Professional Experience

Professor-in-Residence at UCLA since 2014, where they co-direct the UCLA Cardiac Arrhythmia Center and have held significant roles in the UCLA Neurocardiology Research Program.Held various academic and research positions at universities including East Tennessee State University, University of South Alabama, and Loyola University Chicago.

Research & Teaching Contributions

Directed and contributed to numerous physiology and pharmacology courses.Served on various NIH, AHA, and international research grant review panels.

Honors & Awards

Fellowships from the American Heart Association and the American Physiological Society.NIH Young Investigator and multiple American Heart Association leadership roles.

Publication  Top Notes

 

Role of Bradykinin in Protection of Ischemic Preconditioning in Rabbit Hearts (Goto et al., 1995):
This study investigates the role of bradykinin in ischemic preconditioning, which is a protective mechanism of the heart against ischemic injury. It demonstrates that bradykinin, acting through specific receptors, contributes to the protective effects during ischemic episodes in rabbit hearts.

Citations: 702

Cardiac Innervation and Sudden Cardiac Death (Fukuda et al., 2015):
The paper explores the relationship between cardiac innervation, particularly the autonomic nervous system, and sudden cardiac death. It highlights the crucial role that neural regulation plays in the vulnerability of the heart to lethal arrhythmias.

Citations: 419

Autonomic Regulation Therapy via Cervical Vagus Nerve Stimulation in Chronic Heart Failure (ANTHEM-HF trial) (Premchand et al., 2014):
This clinical trial evaluates the effects of vagus nerve stimulation on patients with chronic heart failure, showing improvement in heart function and reduced symptoms, supporting vagal stimulation as a therapeutic avenue for heart failure.

Citations: 401

Selective Vagal Innervation of Sinoatrial and Atrioventricular Nodes in Canine Heart (Ardell & Randall, 1986):
This study reveals how the vagus nerve selectively influences the sinoatrial and atrioventricular nodes, crucial for heart rhythm regulation in dogs. It provides foundational insights into autonomic control of cardiac function.

Citations: 350

Gross and Microscopic Anatomy of the Canine Intrinsic Cardiac Nervous System (Yuan et al., 1994):
This anatomical study maps out the structure of the canine intrinsic cardiac nervous system, which plays a key role in modulating heart function, contributing to a better understanding of neurocardiology.

Citations: 282

Modulation of Intrinsic Cardiac Neurons by Spinal Cord Stimulation (Foreman et al., 2000):
The research examines how spinal cord stimulation affects intrinsic cardiac neurons, suggesting therapeutic implications for treating angina pectoris through neural modulation.

Citations: 247

Conclusion

Given their extensive experience, leadership in significant research initiatives, commitment to education, and contributions to the scientific community, this individual exemplifies the qualities sought for the “Best Researcher Award.” Their dedication to mentoring and ethical research practices aligns with the values of the award, making them a deserving candidate. Continued efforts in public engagement and interdisciplinary collaboration could further enhance their impact and recognition in the field.

Baolei Guo | Vascular Surgery | Best Researcher Award

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Assoc Dr.  Department of Vascular Surgery, Zhongshan Hospital Fudan University, china

Dr. Baolei Guo is an Associate Professor at Fudan University and an Attending Doctor in the Department of Vascular Surgery at Zhongshan Hospital, Fudan University, where he has served since 2017. He earned his MD and Ph.D. from Shanghai Medical College, Fudan University, and has been involved in numerous research projects, focusing on vascular surgery, medical imaging, and device development. Dr. Guo has received multiple prestigious grants, including the Health Youth Talent Training Program and the National Natural Science Foundation of China Youth Fund. His work is published in top journals, highlighting innovations in vascular surgery and imaging techniques.

 

Professional Profiles:

Scopus

 

🏢 Employment

Associate Professor, Fudan University (03/2023-present)Attending Doctor, Department of Vascular Surgery, Zhongshan Hospital Fudan University (10/2020-present)Resident Doctor, Department of Vascular Surgery, Zhongshan Hospital Fudan University (07/2017-10/2020)Resident Doctor, Department of Anesthesiology, Zhongshan Hospital Fudan University (07/2013-09/2014)

🎓 Education Experience

Shanghai Medical College, Fudan UniversityMD, PhD (2014-2017)Department of Chemical Engineering, Imperial College LondonPhD Visiting Scholar (2016-2017)Shanghai Medical College, Fudan UniversityMSc (2010-2013)Hebei Chengde Medical CollegeBSc (2005-2010)

💰 Current Grants

Health Youth Talent Training Program of Shanghai Municipal Health Commission2022YQ013, 2023/01-2025/12, 300,000¥, PIShanghai “Medical Academy Rising Star” Youth Medical Talent Training Funding ProgramR2021-016, 2022/01-2024/12, 100,000¥, PI

Dr. Baolei Guo for the Best Researcher Award

Strengths for the Award:

  1. Extensive Research and Publications: Dr. Baolei Guo has an impressive record of publications in prestigious journals like European Journal of Vascular and Endovascular Surgery, Journal of Vascular Surgery, and IEEE Transactions on Biomedical Engineering. His research primarily focuses on vascular surgery, particularly on aortic dissection, endovascular repair, and imaging technologies, which are highly relevant to advancements in vascular health.
  2. Leadership in Research Projects: As the Principal Investigator (PI) for multiple significant grants, Dr. Guo has demonstrated strong leadership and innovation in his field. His involvement in pioneering projects such as the study of PET-CT/4D-PCMR combined with IVUS multimodal imaging technology and the development of plaque surface cleaning devices during CAS highlights his commitment to improving surgical outcomes and patient care.
  3. International Collaboration and Recognition: Dr. Guo’s international experience as a visiting scholar at Imperial College London, coupled with his collaboration with researchers globally, underlines his recognition in the academic community. This global perspective enhances the impact and applicability of his research in diverse healthcare settings.
  4. Clinical Expertise: With extensive clinical experience as an attending and resident doctor in vascular surgery, Dr. Guo bridges the gap between research and practice. His work directly influences clinical procedures, making his research highly translational and impactful.
  5. Innovative Approach: Dr. Guo’s research integrates advanced imaging techniques and computational modeling, contributing to the development of cutting-edge technologies in vascular surgery. His work on creating a swine model for type B aortic dissection and his studies on the hemodynamics of vascular diseases exemplify his innovative approach.

Areas for Improvement:

  1. Broader Dissemination of Research: While Dr. Guo has a robust publication record, expanding his reach through more public-facing platforms, such as conferences, seminars, or involvement in international committees, could further enhance his visibility and influence in the global research community.
  2. Collaboration with Industry: Engaging with the medical device industry for the translation of his research into commercially viable products could significantly boost the practical application of his work. This would also open avenues for securing additional funding and enhancing the real-world impact of his research.
  3. Diversity of Research Topics: While Dr. Guo has established expertise in vascular surgery, exploring related fields such as cardiovascular biomaterials or regenerative medicine could diversify his research portfolio and contribute to a more comprehensive approach to vascular health.

 

✍️Publications Top Note :

  • Fauzi, M.F.M., Johari, N.H., Mokhtarudin, M.J.M., Yusoff, B.M., Guo, B.
    Fluid-Structure Interaction Modelling of Blood Flow in Peripheral Arterial Disease.
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2024, 119(1), pp. 117–133.
  • Gao, P., Guo, B., Zhang, M., Dai, X., Liu, H.
    Modeling Method of Aortic Homeostasis Considering Three-Dimensional Residual Deformation.
    Yiyong Shengwu Lixue/Journal of Medical Biomechanics, 2024, 39(3), pp. 510–517.
  • Zhang, S., Guo, B., Hu, M.
    Some Reflections on Investigating the Long Term Healthy Life Quality of Acute Type B Aortic Dissection Patients.
    European Journal of Vascular and Endovascular Surgery, 2024, 67(3), pp. 524–525.
  • Guo, B., Chen, C., Li, Y., Fu, W., Zhang, W.W.
    Principles of Optimal Antithrombotic Therapy for Iliac Venous Stenting (POATIVES): A National Expert-Based Delphi Consensus Study.
    Journal of Vascular Surgery: Venous and Lymphatic Disorders, 2024, 12(2), 101739.
  • Armour, C., Guo, B., Saitta, S., Dong, Z., Xu, X.Y.
    The Role of Multiple Re-Entry Tears in Type B Aortic Dissection Progression: A Longitudinal Study Using a Controlled Swine Model.
    Journal of Endovascular Therapy, 2024, 31(1), pp. 104–114.
  • Wang, K., Armour, C.H., Guo, B., Dong, Z., Xu, X.Y.
    A New Method for Scaling Inlet Flow Waveform in Hemodynamic Analysis of Aortic Dissection.
    International Journal for Numerical Methods in Biomedical Engineering, 2024.

Conclusion:

Dr. Baolei Guo stands out as a strong candidate for the Best Researcher Award due to his significant contributions to vascular surgery research, his leadership in innovative projects, and his integration of clinical expertise with research. By expanding his research dissemination efforts and fostering collaborations with industry, Dr. Guo could further elevate his impact in the field. His work not only advances scientific knowledge but also directly improves patient outcomes, making him a deserving contender for this prestigious award.

Prof. Sanghun Jeon | Artificial Nerve System | Outstanding Scientist Award

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Prof. Sanghun Jeon | Artificial Nerve System | Outstanding Scientist Award

Prof. Sanghun Jeon, Korea Advanced Institute of Science and Technology, South Korea

Prof. Sanghun Jeon is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Google scholar

Education 🎓

Gwangju Institute of Science and Technology (GIST)
Ph.D. degree in Electronic Materials Program (with Best Paper Award Honors), Feb. 2003
Dissertation Title: Studies of the electrical and physical characteristics of ultrathin high k gate dielectrics for metal-oxide-semiconductor (MOS) device applications

Experience 🧑‍🔬

KAIST (Google Scholar: In total, 12081 citations, h-index 53. Since 2019, 6343 citations, h-index 38)
Feb. 2018 – Present
Tenured Full Professor, School of Electrical EngineeringLaunched research efforts in AI semiconductors using functional ferroelectric materials and devices, IoT sensors, and stretchable displays.KOREA University (with Seoktap Research Awards)
Mar. 2013 – Feb. 2018
Associate Professor, Department of Applied PhysicsLaunched research efforts in wearable sensors, multimodal sensors, hafnia ferroelectric 1T DRAM, and hafnia ferroelectric tunnel junctions for logic-in-memory device applications.SAMSUNG ELECTRONICS and SAMSUNG Advanced Institute of Technology
Mar. 2003 – Feb. 2013
Senior and Principal Research Staff MemberPerformed research on oxide thin-film transistors for CMOS image sensors, displays, photo-sensors, and high-power devices.Process and device engineer for graphene, 3D transistors, and hybrid semiconductor devices.Developed the world’s first 32Gb NAND Flash Technology (4X nm generation, 2006) and 8Gb & 16Gb NAND Flash Technology (6Xnm generation, 2005) using charge trap flash memory devices.

Research Interests 🔍

NAND Flash with Ferroelectric MaterialsHybrid NAND Flash with Negative Capacitance Ferroelectric MaterialsHigh Dielectric Constant Morphotropic Phase Materials for DRAM CapacitorsHfO2 1T DRAM Nonvolatile Logic Device for Deep Learning ApplicationsComputing-in-Memory Hardware: 3-Terminal Device and Architecture for Deep Neural NetworksFerroelectric Tunnel JunctionsTextile Sensors for Wearable/Flexible ElectronicsAI-Inspired Tactile Sensing Applications with Machine Learning Algorithms

Academic Contribution 📚

IEEE Senior MemberVice Chair of Advanced and Emerging Memories / New Applications in International Conference on Solid State Device and Materials (SSDM) (2015 – Present)Associate Editor of Springer Nanoconvergence (2018 – Present)Associate Editor of IEEE/OSA Journal of Display Technology (2013 – 2016)Organizing Committee and Track Chair of IEEE FLEPS (2021 – Present)Public Chair of IEEE FLEPS (2022)Focused Session Chair of IEEE FLEPS (2023 – 2024)Editorial Board Member of Nature Publication Group Scientific Reports (2015 – Present)Editorial Board Member of IEEE Journal on Flexible Electronics (2022 – Present)

Awards 🏆

Springer Nano Convergence Contribution Award (2022)KAIST Best Lecturer Award (2022)SK Hynix IDEA Silver Award (2019)KOREA University SEOKTAP Research Award (2018)Samsung Future Technology Foundation Research Grant (2017)IAAM Young Scientist Award Medal (2016)IMID Best Paper Award (2016)Samsung Paper Champion Award (2013)Samsung Advanced Institute of Technology Innovation Award (2012)Samsung Best Paper Award (2011)Samsung Group Grand Award (2006)Young Researcher Award (2002)

📖 Publications Top Note :

Highly Stretchable Resistive Pressure Sensors Using a Conductive Elastomeric Composite on a Micropyramid Array

CL Choong, MB Shim, BS Lee, S Jeon, DS Ko, TH Kang, J Bae, SH Lee, …
Journal: Advanced Materials
Citations: 1221
Year: 2014

Highly Stretchable Electric Circuits from a Composite Material of Silver Nanoparticles and Elastomeric Fibres

M Park, J Im, M Shin, Y Min, J Park, H Cho, S Park, MB Shim, S Jeon, …
Journal: Nature Nanotechnology
Citations: 943
Year: 2012

High Performance Amorphous Oxide Thin Film Transistors with Self-Aligned Top-Gate Structure

JC Park, SW Kim, SI Kim, H Yin, JH Hur, SH Jeon, SH Park, IH Song, …
Journal: IEEE International Electron Devices Meeting (IEDM)
Citations: 623
Year: 2009

Gated Three-Terminal Device Architecture to Eliminate Persistent Photoconductivity in Oxide Semiconductor Photosensor Arrays

S Jeon, SE Ahn, I Song, CJ Kim, UI Chung, E Lee, I Yoo, A Nathan, S Lee, …
Journal: Nature Materials
Citations: 480
Year: 2012

A Flexible Bimodal Sensor Array for Simultaneous Sensing of Pressure and Temperature

NT Tien, S Jeon, DI Kim, TQ Trung, M Jang, BU Hwang, KE Byun, J Bae, …
Journal: Advanced Materials
Citations: 436
Year: 2014

Trap-Limited and Percolation Conduction Mechanisms in Amorphous Oxide Semiconductor Thin Film Transistors

S Lee, K Ghaffarzadeh, A Nathan, J Robertson, S Jeon, C Kim, IH Song, …
Journal: Applied Physics Letters
Citations: 306
Year: 2011

HfZrOx-Based Ferroelectric Synapse Device with 32 Levels of Conductance States for Neuromorphic Applications

S Oh, T Kim, M Kwak, J Song, J Woo, S Jeon, IK Yoo, H Hwang
Journal: IEEE Electron Device Letters
Citations: 246
Year: 2017

Effect of Hygroscopic Nature on the Electrical Characteristics of Lanthanide Oxides

S Jeon, H Hwang
Journal: Journal of Applied Physics
Citations: 190
Year: 2003

Metal Oxide Thin Film Phototransistor for Remote Touch Interactive Displays

SE Ahn, I Song, S Jeon, YW Jeon, Y Kim, C Kim, B Ryu, JH Lee, A Nathan, …
Journal: Advanced Materials
Citations: 166
Year: 2012

Amorphous Oxide Semiconductor TFTs for Displays and Imaging

A Nathan, S Lee, S Jeon, J Robertson
Journal: Journal of Display Technology
Citations: 165
Year: 2014

Hot Carrier Trapping Induced Negative Photoconductance in InAs Nanowires Toward Novel Nonvolatile Memory

Y Yang, X Peng, HS Kim, T Kim, S Jeon, HK Kang, W Choi, J Song, …
Journal: Nano Letters
Citations: 164
Year: 2015

Persistent Photoconductivity in Hf–In–Zn–O Thin Film Transistors

K Ghaffarzadeh, A Nathan, J Robertson, S Kim, S Jeon, C Kim, UI Chung, …
Journal: Applied Physics Letters
Citations: 162
Year: 2010

The Effect of the Bottom Electrode on Ferroelectric Tunnel Junctions Based on CMOS-Compatible HfO2

Y Goh, S Jeon
Journal: Nanotechnology
Citations: 152
Year: 2018

Instability in Threshold Voltage and Subthreshold Behavior in Hf–In–Zn–O Thin Film Transistors Induced by Bias-and Light-Stress

K Ghaffarzadeh, A Nathan, J Robertson, S Kim, S Jeon, C Kim, UI Chung, …
Journal: Applied Physics Letters
Citations: 133
Year: 2010

Oxygen Vacancy Control as a Strategy to Achieve Highly Reliable Hafnia Ferroelectrics Using Oxide Electrode

Y Goh, SH Cho, SHK Park, S Jeon
Journal: Nanoscale
Citations: 123
Year: 2020

Non-Volatile Semiconductor Memory Device with Alternative Metal Gate Material

SH Jeon, J Han, C Kim
Journal: US Patent 7,391,075
Citations: 122
Year: 2008

Electrical Characteristics of Prepared by Annealing of

S Jeon, CJ Choi, TY Seong, H Hwang
Journal: Applied Physics Letters
Citations: 119
Year: 2001

180nm Gate Length Amorphous InGaZnO Thin Film Transistor for High Density Image Sensor Applications

S Jeon, S Park, I Song, JH Hur, J Park, S Kim, S Kim, H Yin, E Lee, S Ahn, …
Journal: International Electron Devices Meeting
Citations: 116
Year: 2010

Transparent Semiconducting Oxide Technology for Touch Free Interactive Flexible Displays

S Lee, S Jeon, R Chaji, A Nathan
Journal: Proceedings of the IEEE
Citations: 114
Year: 2015

Excellent Electrical Characteristics of Lanthanide (Pr, Nd, Sm, Gd, and Dy) Oxide and Lanthanide-Doped Oxide for MOS Gate Dielectric Applications

S Jeon, K Im, H Yang, H Lee, H Sim, S Choi, T Jang, H Hwang
Journal: International Electron Devices Meeting
Citations: 114
Year: 2001