Peter Staats | Biometrics and Human-Machine Interaction | Best Researcher Award

Dr. Peter Staats | Biometrics and Human-Machine Interaction | Best Researcher Award

Chief Medical Officer at National Spine and Pain Center | United States

Dr. Peter Staats is an internationally recognized leader, innovator, and visionary in the field of pain medicine, neuromodulation, and interventional anesthesiology, widely regarded as one of the pioneers who shaped the modern discipline of interventional pain management. He currently serves as Chief Executive Officer of Positive Outcomes Worldwide, Chief Medical Officer of electroCore, and Founding Chair and President of the Vagus Nerve Society, while also serving on the Boards of the American Society of Interventional Pain Physicians (ASIPP), the Federation for Pain Care Access, and the World Institute of Pain. Over his distinguished career, Dr. Staats has held numerous influential leadership roles including Chief of the Division of Pain Medicine at The Johns Hopkins University School of Medicine, President of the North American Neuromodulation Society, President of ASIPP, President of the World Institute of Pain, and Chief Medical Officer for the National Spine and Pain Centers. A graduate of the University of California at Santa Barbara and the University of Michigan Medical School, with an MBA from Johns Hopkins University, he combines medical expertise with executive acumen to advance innovation, access, and evidence-based care for patients worldwide. He has edited and authored several seminal textbooks and book sections in pain management including Expert Pain Management: Springhouse Guide, Anesthesiology Clinics of North America: Interventional Pain Management, Textbook of Regional Anesthesia, Radiographic Imaging for Regional Anesthesia and Pain Management, and Just the Facts: Pain Medicine, which have become foundational references in the field. A decorated clinician and researcher, Dr. Staats has been recognized with multiple lifetime achievement awards, excellence honors, and innovation accolades from leading medical societies around the globe for his contributions to advancing neuromodulation, vagus nerve stimulation, and compassionate, patient-centered pain care.

Profile: Scopus | Orcid

Featured Publications:

Goadsby, P. J., Feoktistov, A., Anitescu, M., Day, M., & Staats, P. (n.d.). Non‐invasive vagus nerve stimulation in cluster headache: A clinical practice guideline. Pain Practice.

Gupta, M., Patil, A., Staats, P., Schatman, M., Kalia, H., Sayed, D., Soin, A., Baranidharan, G., Kapural, L., & Chitneni, A., et al. (n.d.). Chronic abdominal discomfort syndrome (CADS): A narrative review of treatment strategies. Journal of Pain Research.

Wahezi, S., Yener, U., Day, M., Staats, P., Gilligan, C., Schatman, M., & Pritzlaff, S. (n.d.). Are chronic pain fellowships disguised as acute pain fellowships which manage chronic pain? How to recognize and repair. Journal of Pain Research.

Wahezi, S., Yener, U., Staats, P., Eshraghi, Y., Day, M., Schatman, M., & Pritzlaff, S. (n.d.). Mentorship in pain medicine fellowship: Addressing the gaps and advocating for change. Journal of Pain Research.

Kalia, H., Thapa, B., Staats, P., Martin, P., Stetter, K., Feldman, B., & Marci, C. (n.d.). Real-world healthcare utilization and costs of peripheral nerve stimulation with a micro-IPG system. Pain Management.

Changqing Cai | Sensors and Robotics | Best Researcher Award

Dr. Changqing Cai | Sensors and Robotics | Best Researcher Award

Professor |Changchun Institute of Technology | China

Changqing Cai, Professor at Changchun Institute of Technology, is a leading researcher and innovator specializing in intelligent control, smart grids, intelligent manufacturing, smart agriculture, and autonomous systems, recognized as an outstanding contribution talent of Jilin Province, national Baosteel Excellent Teacher, and a Class C talent of Jilin Province, as well as a science and technology innovation specialist, holding a Ph.D. from Jilin University’s School of Transportation and a bachelor’s degree from Jilin Vocational Normal University, he has presided over more than fifteen provincial and ministerial-level scientific research projects, published over thirty high-impact journal articles including research on attention-enhanced semantic segmentation for substation inspection robot navigation, and obtained multiple patents including eight invention patents and nine utility model patents, while serving as a reviewer for international journals such as Agriculture Information and collaborating with industry partners including Jilin Yuxing Machinery Manufacturing Co., Ltd. and Changchun Hexin Machinery Co., Ltd., his work focuses on industrial energy conservation, intelligent monitoring, and upgrading industrial electricity safety and energy efficiency, developing smart agriculture and cold-region adaptation technologies to mitigate reliance on weather conditions, advancing automotive manufacturing equipment and autonomous driving with smart manufacturing and safety enhancements, providing practical solutions to help Jilin Province modernize traditional industries and develop regional specialty industries, while cultivating research teams with strong technological R&D capabilities and regional industrial awareness, driving sustainable innovation and laying a foundation for future technological advancements, making him a highly suitable candidate for the Best Researcher Award.

Featured Publications:

Chao Zhang | Control Engineering | Best Researcher Award

Assoc. Prof. Dr. Chao Zhang | Control Engineering | Best Researcher Award

Associate Professor | Henan Institute of Technology | China

Chao Zhang is an accomplished researcher and academic in the field of control theory, adaptive systems, and intelligent optimization methods, with extensive contributions spanning nonlinear system modeling, robust control, and advanced scheduling algorithms. His research journey demonstrates strong expertise in adaptive control of uncertain nonlinear time-varying systems with noise disturbances and has been widely recognized through influential publications and funded research projects. His scholarly works include Multidimensional Taylor Network Adaptive Control for MIMO Time-varying Uncertain Nonlinear Systems with Noises, Inverse Control of Single-Input/Single-Output Nonlinear Time-varying Systems with Noise Disturbances by Multi-dimensional Taylor Network, Data-driven Nonlinear Near-optimal Regulation based on Multi-dimensional Taylor Network Dynamic Programming, Identification and Adaptive Multi-dimensional Taylor Network Control of Single-input Single-output Non-linear Uncertain Time-varying Systems with Noise Disturbances, and Green Job Shop Scheduling Problem with Discrete Whale Optimization Algorithm. He has further advanced optimization algorithms through works such as Adaptive Discrete Cat Swarm Optimization Algorithm for Flexible Job Shop Problem, Application of Grey Wolf Optimization for Solving Combinatorial Problems: Job Shop and Flexible Job Shop Scheduling Cases, Energy-efficient Scheduling for a Job Shop using an Improved Whale Optimization Algorithm, and Energy-efficient Scheduling for a Job Shop using Grey Wolf Optimization Algorithm with Double-searching Mode. His earlier works also include Inverse Control of Multi-dimensional Taylor Network for Permanent Magnet Synchronous Motor and Nonlinear stochastic time-varying system identification based on multi-dimensional Taylor network with optimal structure. Beyond international publications, he has authored significant Chinese-language contributions such as career combining theoretical innovation and engineering application, Chao Zhang has established himself as a leading scholar in adaptive control, nonlinear system identification, intelligent optimization, and energy-efficient scheduling, contributing both to the advancement of control theory and its real-world industrial applications.

Profile: Orcid

Featured Publications:

Chenyang Duan | Smart Structures | Best Researcher Award

Prof. Chenyang Duan | Smart Structures | Best Researcher Award

Professor | Chongqing Medical University | China

Dr. Chenyang Duan, M.D., Ph.D., is a Professor of Anesthesiology & Perioperative Medicine at Chongqing Medical University and serves as Director of the Laboratory of Mitochondria and Organ Protection. As a doctoral supervisor, he leads cutting-edge research into perioperative organ protection by investigating mitochondrial quality control and multi-organ injury mechanisms. His contributions span both clinical anesthesiology and translational biomedical science. Dr. Duan is actively engaged in academic leadership and service—he’s a committee member on geriatrics and perioperative anesthesiology within the Chongqing Medical Association and holds editorial board positions in several journals, including Anesthesiology & Perioperative Science, Cardiovascular Innovations and Applications, and Military Medical Research. His laboratory utilizes advanced imaging and molecular tools, backed by substantial funding and a diverse research team. Dr. Duan’s integrative approach bridges critical care, mitochondrial biology, and clinical anesthesiology, positioning him as a prominent figure in efforts to reduce perioperative organ dysfunction and improve patient outcomes.

Professional Profile

Education

Dr. Duan completed his foundational training at Army Medical University in Chongqing, where he earned his Bachelor’s degree in Clinical Medicine, followed by a Master’s and then a Ph.D. in Surgery. His academic trajectory—in which he progressed from undergraduate clinical training to advanced surgical research—equipped him with both clinical insight and research acumen. During his doctoral studies, he focused on the molecular mechanisms underpinning perioperative organ injury, with an emphasis on mitochondrial dysfunction. This integrated training fostered a rare synthesis of clinical and laboratory expertise, enabling him to pursue translational research in anesthesiology and critical care environments. The combination of rigorous clinical grounding and innovative molecular investigation has shaped Dr. Duan’s trajectory as a clinician-scientist committed to enhancing patient care through mechanistic insights.

Experience

Upon completion of his Ph.D., Dr. Duan joined The Second Affiliated Hospital of Chongqing Medical University as an attending anesthesiologist. He quickly advanced to full professor and, simultaneously, became Principal Investigator and Director of the Laboratory of Mitochondria and Organ Protection. In this role, he oversees both clinical anesthesiology and a national-level key specialty laboratory, leading research on mitochondrial quality control, organelle dynamics, and perioperative organ protection. In addition, he was appointed a Research Fellow in, further consolidating his leadership roles. He actively contributes to academic governance and scientific discourse through memberships on several professional committees, and editorial positions across multiple journals. Through these roles, Dr. Duan blends clinical excellence with research innovation and academic leadership, significantly advancing the field of perioperative medicine.

Research Focus

Dr. Duan’s research is centered on perioperative organ protection and mitochondrial quality control. His laboratory investigates how mitochondrial dysfunction contributes to multi-organ injury in critically ill patients, with a particular focus on the time-dependent and tissue-specific pathways involved. Key areas include exploring the regulatory roles of dynamin-related protein 1 (Drp1) in cytoskeletal interactions and organelle communication. Projects span translational studies using advanced imaging and molecular tools to evaluate mitochondrial-targeted therapies. Dr. Duan’s team employs integrative models combining macro-circulatory, micro-circulatory, and mitochondrial homeostasis monitoring to detect and intervene early in organ damage. Their work aims to identify and validate therapeutic strategies that counteract mitochondrial imbalance to enhance organ protection during surgery and critical illness—bridging molecular mechanisms with clinical innovation.

Awards and Honors

Dr. Duan’s excellence has been recognized through multiple awards. He received the Program of Post-Doctoral Innovative Talent Support and the Excellent Doctoral Dissertation Award. He is acknowledged by Chongqing Medical University as part of the Kunren Talents and has received a Military Scientific and Technological Progress Award, highlighting his contributions to applied research. His leadership was further endorsed by selection for the Young and Middle-Aged Outstanding Medical Team of Chongqing. In, he earned recognition as an Academic and Technical Leader of Chongqing and was named a National-Level Reserve Talent in the Health Sector. These honors reflect his significant scientific contributions, leadership capabilities, and commitment to advancing perioperative and mitochondrial research.

Publication Top Notes

  • Effects of anesthetics on mitochondrial quality control: mechanisms and clinical implications

  • Year: (2024)

  • Decoding Organelle Interactions: Unveiling Molecular Mechanisms and Disease Therapies

  • Year: (2024)

  • Curcumin simultaneously improves mitochondrial dynamics and myocardial cell bioenergy after sepsis via the SIRT1-DRP1/PGC-1α pathway

  • Year:  (2024)

  • Activated Drp1 Initiates the Formation of Endoplasmic Reticulum‐Mitochondrial Contacts via Shrm4‐Mediated Actin Bundling

  • Year:  (2023)

  • Activated Drp1 regulates p62-mediated autophagic flux and aggravates inflammation in cerebral ischemia-reperfusion via the ROS-RIP1/RIP3-exosome axis

  • Year:  (2022)

  • SARS-CoV-2 achieves immune escape by destroying mitochondrial quality: analysis of lung and blood specimens from COVID-19 patients

  • Year:  (2022)

  • Identification of MMP9 as a novel biomarker to mitochondrial metabolism disorder and oxidative stress in calcific aortic valve stenosis

  • Year:  (2022)

  • Mitochondrial Drp1 recognizes and induces excessive mPTP opening after hypoxia through BAX-PiC and LRRK2-HK2

  • Year:  (2021)

Conclusion

Chenyang Duan is a highly qualified and accomplished researcher, with a strong academic background, significant research experience, and leadership roles in professional organizations. Her numerous awards and honors demonstrate her expertise and contributions to her field. With continued research and publication efforts, Chenyang Duan has the potential to make significant impacts in her field and is a strong candidate for the Best Researcher Award.

Zicheng Xin | intelligentialization | Best Researcher Award

Dr. Zicheng Xin | intelligentialization | Best Researcher Award

postdoctor, University of Science and Technology Beijing, China

Zicheng Xin is a renowned researcher and visiting professor at the Korea Invention Academy. He is affiliated with the University of Science and Technology Beijing (USTB) and has made significant contributions to the field of metallurgical engineering. His research focuses on metallurgical process engineering, intelligence, and simulation.

Profile

scopus

Education 🎓

Ph.D. in Metallurgical Engineering, State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing (USTB) (2018-2022)

Experience 🧪

Visiting Professor, Korea Invention Academy (current)  Researcher, State Key Laboratory of Advanced Metallurgy, USTB (current)

Awards & Honors🏆

“Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award — Golden Scientist Grand Award (Second Place, International Federation of Inventors’ Associations, 2023) “Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award— Science & Technology Grand

Research Focus 🔍

Metallurgical process engineering and intelligence  Simulation and optimization of metallurgical process

Publications📚

1. Analysis of multi-zone reaction mechanisms in BOF steelmaking and comprehensive simulation [J]. Materials, 2025, 18(5): 1038. – Zicheng Xin, Qing Liu, Jiangshan Zhang, et al.
2. Modeling of LF refining process: a review [J]. Journal of Iron and Steel Research International, 2024, 31(2): 289-317. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
3. Explainable machine learning model for predicting molten steel temperature in LF refining process [J]. International Journal of Minerals, Metallurgy and Materials, 2024, 31(12): 2657-2669. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
4. Predicting temperature of molten steel in LF refining process using IF-ZCA-DNN model [J]. Metallurgical and Materials Transactions B, 2023, 54(3): 1181-1194. – Zicheng Xin, Jiangshan Zhang, Junguo Zhang, et al.
5. Predicting the alloying element yield in a ladle furnace using principal component analysis [J]. … – Zicheng Xin, Jiangshan Zhang, Yu Jin, et al.

Conclusion

Zicheng Xin’s academic excellence, research focus, and international recognition make him a strong candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make significant contributions to the field of metallurgy.

Hugo Bildstein | Sensor-based Control | Best Researcher Award

Dr. Hugo Bildstein | Sensor-based Control | Best Researcher Award

Dr. LAAS-CNRS, France

Hugo Bildstein is a PhD candidate and Temporary Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, affiliated with the RAP team at LAAS-CNRS. His academic background includes a Master’s degree in Robotics from Toulouse and a previous engineering degree in Mechatronics from ENS Rennes. Hugo’s research focuses on visual predictive control for mobile manipulators, with notable publications in leading journals and conferences, including Robotics and Autonomous Systems (RAS) and IEEE/ASME AIM. His work explores strategies for improving visibility, manipulability, and stability in robotic systems.

Professional Profiles:

scopus

Academic Background 🎓:

Hugo Bildstein is currently a Temporary Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, working within the RAP team at LAAS-CNRS, Toulouse. His academic journey includes a PhD at the same university from 2020-2024, following a Master’s degree in Robotics: Decision and Control (RODECO) at the University of Toulouse 3 – Paul Sabatier. Hugo also holds a Master’s degree in Mechatronics from ENS Rennes and ranked 11th in the Agrégation in Industrial Engineering Sciences, Electrical Engineering option in 2019.

Research Activities and  📚:

Hugo’s research focuses on enhancing visual predictive control for mobile manipulators. His work includes:“Visual Predictive Control for Mobile Manipulators: Visibility, Manipulability, and Stability” – to be published in Robotics and Autonomous Systems (RAS) in 2024.“Enhanced Visual Predictive Control Scheme for Mobile Manipulators” – presented at the 2023 European Conference on Mobile Robots (ECMR) in Coimbra, Portugal.“Multi-camera Visual Predictive Control Strategy for Mobile Manipulators” – showcased at the 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) in Seattle, USA.“Visual Predictive Control Strategy for Mobile Manipulators” – discussed at the 2022 European Control Conference (ECC) in London, United Kingdom.

Research Analysis for Hugo Bildstein

Strengths for the Award:

  1. Innovative Contributions: Hugo Bildstein’s research focuses on cutting-edge topics in robotics, particularly visual predictive control for mobile manipulators. His work on enhancing control schemes through multi-camera strategies and visual feedback systems is highly relevant and forward-thinking in the field of robotics and autonomous systems.
  2. Diverse Research Outputs: Bildstein has published several papers in prestigious journals and conferences, demonstrating a consistent and impactful research output. His papers, such as those presented at the European Conference on Mobile Robots (ECMR) and the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), highlight significant contributions to the field.
  3. Academic Excellence: His strong academic background, including a PhD in Robotics and a Master’s degree in Robotics and Control, coupled with high rankings in competitive exams like the Agrégation in Industrial Engineering Sciences, underscores his deep expertise and commitment to the field.
  4. Teaching and Research Experience: As a Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, Bildstein not only engages in advanced research but also contributes to academic teaching, showcasing his ability to bridge research and education effectively.

Areas for Improvement:

  1. Citation Impact: While Bildstein has several publications, some of his recent papers have yet to accumulate significant citations. Increasing the visibility and impact of his work through broader dissemination and collaboration could enhance his academic profile.
  2. Interdisciplinary Applications: Expanding research to explore interdisciplinary applications of his work could provide broader impact and open new avenues for practical implementation of his findings.
  3. Research Collaboration: Engaging in collaborative research with industry partners or other academic institutions could provide additional resources and perspectives, potentially leading to more comprehensive studies and real-world applications.

Conclusion:

Hugo Bildstein is a promising candidate for the Best Researcher Award due to his innovative contributions to the field of robotics, particularly in visual predictive control for mobile manipulators. His strong academic background, diverse research outputs, and active role in teaching and research highlight his potential and dedication. Addressing areas such as citation impact and interdisciplinary applications could further enhance his standing in the research community.

✍️Publications Top Note :

1. Enhanced Visual Predictive Control Scheme for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville, V. Cadenat

Citations: 0

2. Multi-camera Visual Predictive Control Strategy for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville, V. Cadenat

3. Visual Predictive Control Strategy for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville
Citations: 2
Access: Open access