Mr. Yan’lin Jin | Innovative Leadership | Best Researcher Award

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Mr. Yan’lin Jin | Innovative Leadership | Best Researcher Award

Chongqing univercity, China

🔗 Profile

Google Scholar

🎓Early Academic Pursuits 

Jin Yanlin was born in August 1997 in Chuxiong, Yunnan. From a young age, Jin exhibited a keen interest in mechanical systems and engineering, which later guided him to pursue a degree in Energy and Power Engineering at Chang’an University. His undergraduate years were marked by exceptional academic performance, consistently ranking first in his major for three consecutive years. His academic excellence earned him a National Scholarship for three consecutive years and the prestigious “Growing Star” award, which is the highest honor at Chang’an University.

During his undergraduate studies, Jin developed a strong foundation in vehicle dynamics and kinematics. He excelled in coursework and engaged in numerous extracurricular activities and competitions, showcasing his skills and knowledge in engineering and technology.

🚗Professional Endeavors 

In September 2020, Jin Yanlin embarked on his PhD journey at the School of Mechanical and Vehicle Engineering, Chongqing University. His admission to the State Key Laboratory of Mechanical Transmission was a testament to his outstanding academic record and potential in the field of mechanical engineering. At Chongqing University, he focused on Vehicle Engineering, particularly in decision-making, planning, and control.

Jin’s expertise extends to various algorithms essential for intelligent vehicle behavior decision-making. He is proficient in reinforcement learning, inverse reinforcement learning, and motion planning methods like discrete sampling and artificial potential fields. Additionally, Jin has mastered control algorithms such as Model Predictive Control (MPC), decoupling control, and Proportional-Integral-Derivative (PID) control. His programming skills include C++, Python, and Matlab/Simulink, making him a versatile and skilled engineer.

🛠️Contributions and Research Focus 

Jin Yanlin’s research is primarily centered on intelligent vehicle behavior decision-making and control. He has made significant contributions in designing anthropomorphic reward functions based on inverse reinforcement learning. His work involves developing advanced algorithms that enhance the decision-making capabilities of autonomous vehicles.

Moreover, Jin has a strong background in modeling vehicle dynamics and kinematics. His research includes developing and refining models that accurately simulate vehicle behavior under various conditions. These models are crucial for improving the safety and efficiency of autonomous vehicles.

🏆Accolades and Recognition 

Jin’s academic and professional journey is adorned with numerous accolades and awards. During his time at Chang’an University, he was recognized as one of the 100 outstanding students with aspirations to grow and become talents in China by the Ministry of Education. He also received the China Merchants Highway Special Scholarship and was honored as Chang’an University’s Outstanding Graduate.

At Chongqing University, Jin continues to excel, ranking in the top 10% of his major and receiving the Chongqing University Graduate Scholarship. His dedication and leadership qualities have also earned him recognition as an Outstanding Graduate Cadre and an Outstanding Communist Youth League Member twice.

🌍Impact and Influence 

Jin Yanlin’s contributions extend beyond academia. He has actively participated in national and provincial-level competitions, earning several prestigious awards. Notable among these are the third prize in the National University Biology Academic Competition, first and second prizes in the National Youth Vehicle Model Finals, and the second prize in the Shaanxi Province University Student “Challenge Cup” Extracurricular Academic Science and Technology Works Competition. Additionally, he secured the third prize in the RoboMaster2019 Central Division of the National University Student Robot Competition.

These achievements highlight Jin’s commitment to advancing engineering and technology. His participation and success in these competitions demonstrate his ability to apply theoretical knowledge to practical challenges, thereby contributing to the broader engineering community.

🚀Legacy and Future Contributions 

As Jin Yanlin continues his PhD studies, his research is poised to make significant contributions to the field of vehicle engineering. His work on intelligent vehicle behavior decision-making and control algorithms has the potential to enhance the development of autonomous vehicles, making them safer and more efficient.

Looking ahead, Jin aims to further his research and collaborate with industry leaders to bring innovative solutions to the market. His dedication to advancing technology and improving vehicle systems positions him as a future leader in the field of mechanical engineering.

Jin Yanlin’s journey from Chuxiong, Yunnan, to becoming a distinguished PhD candidate at Chongqing University is a testament to his dedication, hard work, and passion for engineering. His academic and professional achievements have already left a lasting impact, and his future contributions are eagerly anticipated by the engineering community.

📚 Publications

Assist Prof Dr. David Park | Innovative Leadership | Best Researcher Award

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Assist Prof Dr. David Park | Innovative Leadership | Best Researcher Award

Stanford University, United States

🔗 Profile

Orcid 

Early Academic Pursuits 📚

Dr. David Jaehyun Park began his academic journey with a medical degree from the Catholic University of Korea, College of Medicine, Seoul, South Korea, earned between March 3, 2003, and February 27, 2009. This foundational training was followed by a Ph.D. in Neuroscience (Neurosurgery) from the same institution, completed from September 1, 2011, to August 14, 2015. During his residency at Seoul St. Mary’s Hospital and various fellowships, Dr. Park developed a strong foundation in neurosurgery and oncology, honing his skills and knowledge in both clinical and research settings. His early academic endeavors laid the groundwork for a distinguished career in neurosurgery and medical research.

Professional Endeavors 🏥

Dr. Park’s career has been marked by a diverse array of professional roles and clinical appointments. After completing his internship and residency at Seoul St. Mary’s Hospital, he undertook several prestigious fellowships, including positions at Brigham and Women’s Hospital and the National Neuroscience Institute in Singapore. His commitment to advancing the field continued with postdoctoral research at Massachusetts General Hospital and various clinical fellowships at renowned institutions such as North Shore University Hospital and Cleveland Clinic. As of July 2024, Dr. Park serves as a Clinical Assistant Professor at both Stanford University School of Medicine and Palo Alto VA Medical Center, reflecting his dedication to teaching and clinical excellence.

Contributions and Research Focus 🔬

Dr. Park’s research has significantly advanced the field of neurosurgery, particularly in the areas of skull base surgery and neurosurgical oncology. His innovative work includes the development of intraoperative cancer detection devices, with both provisional and non-provisional patents granted for his contributions. His focus on integrating advanced technologies and improving surgical techniques has contributed to better outcomes for patients with brain tumors. Dr. Park’s involvement in specialized training courses, such as the 2nd Rhoton Society Meeting and AI+ Health 2022, underscores his commitment to staying at the forefront of medical and technological advancements.

Accolades and Recognition 🏆

Dr. Park’s exceptional contributions have earned him numerous accolades throughout his career. He has received prestigious awards such as the Achievement Award from the Korean Medical Association and multiple Outstanding Resident Awards from various hospitals. His recognition extends to significant achievements in academic and innovation circles, including being a semi-finalist in the 2018 MIT Sloan Healthcare Innovation Prize and the MIT $100K Entrepreneurship Competition. These honors reflect his dedication to excellence in both clinical practice and research.

Impact and Influence 🌟

Dr. Park’s impact extends beyond his immediate field, influencing both his peers and the broader medical community. His role as a mentor to numerous students, residents, and research fellows highlights his dedication to nurturing the next generation of medical professionals. Through his clinical and research work, Dr. Park has contributed to significant advancements in neurosurgery and has played a crucial role in shaping the future of medical innovation. His leadership in various capacities, including as the founder and CEO of ORFACTORY, Inc., demonstrates his entrepreneurial spirit and commitment to translating research into practical solutions.

Legacy and Future Contributions 🚀

As Dr. Park continues his work at Stanford University and the Palo Alto VA Medical Center, his legacy is defined by his relentless pursuit of excellence and innovation in neurosurgery. His future contributions are poised to further impact the field through ongoing research and development, particularly in enhancing surgical techniques and patient outcomes. Dr. Park’s dedication to mentoring and education ensures that his influence will extend through the work of his trainees and collaborators. His ongoing research and clinical practice promise to continue shaping the future of neurosurgery and medical technology, cementing his legacy as a leading figure in his field.

📚 Publications

Dosimetric Comparison of Dedicated Radiosurgery Platforms for the Treatment of Essential Tremor: Technical Report

  • Authors: Neelan J Marianayagam, Ian Paddick, Amit R Persad, Yusuke S Hori, Alexander Maslowski, Ishwarya Thirunarayanan, Arjun R Khanna, David J Park, Vivek Buch, Steven D Chang, et al.
  • Journal: Cureus
  • Year: 2024

The Promise of Tumor Mutation Burden and Microenvironment as Biomarkers in Glioma Treatment

  • Authors: Park J David, Chang D Steven
  • Journal: Journal of Biomedical Research & Environmental Sciences
  • Volume: 5
  • Issue: 3
  • Pages: 1923
  • Year: 2024
  • DOI: 10.37871/jbres1923

Automatic Segmentation of Vestibular Schwannomas: A Systematic Review

  • Authors: Kerem Nernekli, Amit R Persad, Yusuke S Hori, Ulas Yener, Emrah Celtikci, Mustafa Caglar Sahin, Alperen Sozer, Batuhan Sozer, David J Park, Steven D Chang
  • Journal: World Neurosurgery
  • Year: 2024

Stereotactic Radiosurgery for Facial Nerve Hemangioma: Case Report and Systematic Review

  • Authors: David J Park, Yusuke S Hori, Kerem Nernekli, Amit R Persad, Armine Tayag, Louisa Ustrzynski, Sara C Emrich, Steven L Hancock, Steven D Chang
  • Journal: Journal of Clinical Neuroscience
  • Year: 2024

Stereotactic Radiosurgery for Residual, Recurrent, and Metastatic Hemangiopericytomas: A Single-Institution Retrospective Experience

  • Authors: Kelly H Yoo, David J Park, Anand Veeravagu, Amit Persad, Marco Lee, Neelan J Marianayagam, Aroosa Zamarud, Xuejun Gu, Erqi L Pollom, Scott G Soltys, et al.
  • Journal: Neurosurgery
  • Year: 2024

Ms. Kassandra Zachos | Transformational Leadership | Best Researcher Award

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Ms. Kassandra Zachos | Transformational Leadership | Best Researcher Award

University of Toronto, Canada 

🔗 Profile

Google Scholar 

Early Academic Pursuits 📚

Kassandra Alexis Zachos embarked on her academic journey at the University of Toronto, where she earned a Bachelor of Science degree in Nutritional Sciences and Fundamental Genetics. This foundational education provided her with a robust understanding of the intricate relationships between genetics, nutrition, and health. Motivated by her undergraduate studies, Kassandra pursued a Ph.D. in Pharmacology at the same institution, guided by Dr. Ana Andreazza. Her transition from genetics and nutritional sciences to pharmacology was driven by a keen interest in understanding the biochemical and physiological mechanisms underlying chronic diseases. This shift marked the beginning of her focused exploration into mitochondrial dysfunction and its implications for mood disorders and metabolic diseases.

Professional Endeavors 🏥

Kassandra’s professional career reflects a blend of academic rigor and practical application. During her time as a Ph.D. candidate, she has been deeply involved in cutting-edge research related to mitochondrial biomarkers and their role in mood disorders and metabolic diseases. Her work includes significant contributions to the development of novel therapeutics and dietary interventions aimed at improving patient outcomes. Beyond her academic research, Kassandra has also applied her expertise in a broader context, including her role as Vice President of Thomas & Co., an elevated leisure apparel company dedicated to sustainable fashion. This role underscores her commitment to making a positive impact both in and out of the academic sphere.

Contributions and Research Focus 🔬

Kassandra’s research is centered on the intersection of mitochondrial dysfunction, mood disorders, and metabolic diseases. She investigates how mitochondrial biomarkers can be used to enhance the understanding of chronic diseases and develop personalized therapeutic approaches. Her research has led to the completion of several significant projects, including the optimization of mitochondrial isolation techniques and the exploration of mitochondrial genetics in bipolar disorder. Her ongoing work aims to evaluate the role of dietary interventions in managing mitochondrial dysfunction and associated diseases. Through her innovative use of cell-based technologies and biomarker analysis, Kassandra is making strides in the field of nutritional psychiatry and personalized medicine.

Accolades and Recognition 🏆

Kassandra’s exceptional contributions to her field have been recognized through numerous awards and scholarships. Her achievements include the School of Graduate Studies Conference Grant (2023), the MITO2i Graduate Student Scholarship (2022), and multiple fellowships from the University of Toronto. These accolades not only reflect her academic excellence but also highlight her role as a leader in mitochondrial research. Her publications in prominent journals such as Psychiatry Research and Stem Cell Research & Therapy further underscore her impact on the scientific community.

Impact and Influence 🌍

Kassandra’s work has had a profound impact on the understanding of mitochondrial dysfunction and its relation to chronic diseases. By identifying and validating mitochondrial biomarkers, she is contributing to the development of more effective and personalized treatments for mood disorders and metabolic diseases. Her research on the implications of diet and mitochondrial function is paving the way for innovative approaches in nutritional psychiatry. Kassandra’s presentations at international conferences and her involvement in professional collaborations demonstrate her influence in advancing mitochondrial research and improving patient care.

Legacy and Future Contributions 🔮

Looking ahead, Kassandra’s future contributions promise to build on her current research focus. Her dedication to uncovering the mechanisms underlying mitochondrial dysfunction and developing personalized therapeutics will likely lead to further breakthroughs in the field. Her role as a leader in both academic and professional settings suggests that she will continue to shape the future of mitochondrial research and its applications in chronic disease management. Kassandra’s ongoing efforts in both her academic pursuits and professional endeavors are expected to leave a lasting legacy in the realms of pharmacology, nutrition, and sustainable fashion.

📚 Publications

Lactate in bipolar disorder: A systematic review and meta‐analysis

  • Author: Heidi Kuang, Angela Duong, Hyunjin Jeong, Kassandra Zachos, Ana C Andreazza
  • Source:  Psychiatry and clinical neurosciences
  • Year: 2018

Lactate in bipolar disorder: A systematic review and meta‐analysis

  • Author: Optimization of differential filtration-based mitochondrial isolation for mitochondrial transplant to cerebral organoids
  • Source: David F Bodenstein, Pavel Powlowski, Kassandra A Zachos, Dana El Soufi El Sabbagh, Hyunjin Jeong, Liliana Attisano, Landon Edgar, Douglas C Wallace, Ana Cristina Andreazza
  • Year: 2023

Lactate in bipolar disorder: A systematic review and meta-analysis

  • Author: H Kuang, A Duong, H Jeong, K Zachos, AC Andreazza
  • Source: BIPOLAR DISORDERS Cristina Andreazza
  • Year: 2019

Prof Dr. Sally Mohammed Farghaly Abdelaliem | Transformational Leadership | Best Researcher Award

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Prof Dr. Sally Mohammed Farghaly Abdelaliem | Transformational Leadership | Best Researcher Award

College of Nursing -Princess Nourah bint Abdulrahman University, Saudi Arabia

🔗 Profile

Scopus 

Early Academic Pursuits 🎓

Dr. Sally Mohammed Farghaly Abdelaliem Abdelrahman, born on February 13, 1986, in Egypt, has built a formidable academic foundation that underpins her successful career in nursing administration and management. She began her academic journey at Alexandria University, where she earned her Baccalaureate in Nursing Sciences (BNS) in June 2007, graduating with a Very Good honor degree. Driven by her passion for healthcare and education, she pursued further studies and obtained a Master’s in Nursing Science (MNS) in Nursing Administration and Management in July 2013, with an excellent degree. Her academic prowess was further demonstrated when she completed her Doctorate in Nursing Science (DNS.PHD) in Nursing Administration and Management in June 2017. Her doctoral dissertation, titled “Developing A Strategy for Improvement of Professional Nursing Governance,” underscores her commitment to enhancing nursing practices and governance.

Professional Endeavors 💼

Dr. Abdelrahman has an extensive and diverse professional background. She currently serves as an Associate Professor of Nursing Management and Education at Princess Nourah bint Abdulrahman University (PNU) in Riyadh, Saudi Arabia, a position she has held since January 2023. She is also an Associate Professor of Nursing Administration and Management at Alexandria University, Egypt, since July 2022. Her roles at PNU are multifaceted, including Director of Quality of Teaching and Learning, Director of Data & Performance Measurement Management, and Consultant to the Deanship of Quality Assurance and Academic Accreditation. Additionally, she has been a Certified Nurse Consultant with the Saudi Commission of Health Specialties since 2022.

Dr. Abdelrahman’s professional experience extends beyond academia into clinical practice and administrative roles. She has worked in various hospitals, including Al Salam International Hospital in Kuwait and the Royal Hospital in Egypt, gaining valuable hands-on experience in neurosurgery, ICU, and cardiac care units.

Contributions and Research Focus 📚

Throughout her career, Dr. Abdelrahman has been dedicated to advancing nursing education and management through both practice and research. Her research interests are broad and impactful, focusing on health systems, strategic planning, quality management, and governance in nursing. She has made significant contributions to the field through her research on professional nursing governance, emotional intelligence in leadership, and health policy.

As an academic, Dr. Abdelrahman has been actively involved in teaching and mentoring students. She has taught a wide range of courses, including Nursing Administration, Nursing Ethics, Quality Projects, Risk Management, and Health Policy. Her commitment to education is also evident in her role as an Academic Counselor and Course Coordinator at Alexandria University and PNU.

Accolades and Recognition 🏆

Dr. Abdelrahman has received numerous accolades throughout her career. She is a Certified Nurse Consultant and Certified Item Writer with the Saudi Commission of Health Specialties. Her professional excellence is further recognized through her fellowship with the UK Professional Standards Framework for teaching and learning support in higher education (FHEA). Additionally, she is a member of the Sigma Theta Tau International Honor Society of Nursing, which acknowledges her leadership and contributions to the field.

Her editorial roles include serving as an Academic Editor at PLOS ONE and an Editorial Board Member at BMC Nursing, published by Springer Nature. These positions highlight her expertise and influence in the academic community.

Impact and Influence 🌟

Dr. Abdelrahman’s impact on the field of nursing is profound. Her work in quality assurance and academic accreditation has significantly improved the standards of nursing education and practice at PNU. She has played a crucial role in curriculum development, quality improvement initiatives, and strategic planning, ensuring that nursing programs meet high standards of excellence.

Her influence extends to the international stage through her involvement in various research projects and collaborations. Dr. Abdelrahman has presented her research at numerous conferences and workshops, contributing to the global discourse on nursing administration and management.

Legacy and Future Contributions 🌍

Dr. Abdelrahman’s legacy is marked by her unwavering commitment to improving nursing education and practice. Her work has not only elevated the standards of nursing programs at PNU and Alexandria University but also inspired future generations of nurses and educators. Looking ahead, she aims to continue her research on governance and quality management in nursing, with a focus on developing strategies that can be implemented globally.

Her future contributions will undoubtedly shape the future of nursing education and practice, ensuring that healthcare professionals are well-equipped to meet the challenges of an ever-evolving healthcare landscape. Dr. Abdelrahman’s dedication, expertise, and passion for nursing will leave an enduring impact on the field, benefiting patients, practitioners, and educators worldwide.

📚 Publications

Title: Resilience in the face of pandemic: exploring the influence of psychological flexibility on turnover intentions and burnout among critical care nurses in COVID-19 hospitals

  • Authors: El-Ashry, A.M., Seweid, M.M., Ghoneam, M.A., Abdelaliem, S.M.F., Sabek, E.M.
  • Journal: BMC Nursing
  • Year: 2024

Title: The influence of hospital accreditation on nurses’ perceptions of patient safety culture

  • Authors: Oweidat, I.A., Atiyeh, H., Alosta, M., Alzoubi, M.M., Farghaly Abdelaliem, S.M.
  • Journal: Human Resources for Health
  • Year: 2024

Title: Knowledge, attitudes, and practices toward Patient Safety among nurses in health centers

  • Authors: Ayyad, A., Baker, N.A., Oweidat, I., Alsenany, S.A., Abdelaliem, S.M.F.
  • Journal: BMC Nursing
  • Year: 2024

Title: Perceived stress, coping strategies, symptoms severity and function status among carpal tunnel syndrome patients: a nurse-led correlational Study

  • Authors: Asal, M.G.R., Atta, M.H.R., Abdelaliem, S.M.F., El-Sayed, A.A.I., El-Deeb, H.A.A.E.-M.
  • Journal: BMC Nursing
  • Year: 2024
Title: The impact of a nursing spiritual care module on nursing competence: an experimental design
  • Authors: Abusafia, A.H., Khraisat, A.M.S., Tableb, O.K., Alabdullah, A.A., Abdelaliem, S.M.F.
  • Journal: BMC Palliative Care
  • Year: 2024

Ms. Kassandra Zachos | Transformational Leadership | Best Researcher Award

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Ms. Kassandra Zachos | Transformational Leadership | Best Researcher Award

University of Toronto, Canada

🔗 Professional Profiles

📋 Summary:

Kassandra Alexis Zachos is a dedicated PhD candidate in her fifth year at the University of Toronto, under the guidance of Dr. Ana Andreazza. Her research focuses on the intricate relationship between mitochondria, mood disorders, and metabolic diseases, emphasizing the role of nutrition and diet quality. Kassandra aims to uncover alternative personalized therapeutics using mitochondrial biomarkers.

🎓 Education:

  • PhD Candidate in Pharmacology, University of Toronto
  • BSc in Genetics and Nutritional Sciences, University of Toronto

💼 Professional Experience:

Kassandra has substantial experience in cell-based technologies, the generation of novel therapeutics, and nutritional supplementation. She has completed four research projects and is currently involved in three ongoing studies.

🔬 Research Interests:

Kassandra’s primary research interest is the interplay between mitochondrial dysfunction and chronic diseases, particularly mood disorders and metabolic diseases. Her work includes:

  • Translational biomarkers in stem cell models and human plasma samples.
  • Mitochondrial-targeted metabolomics.
  • Personalized therapeutic development.
  • Nutritional psychiatry.

🔗 Contact:

🌟 Key Contributions:

Kassandra’s research highlights the importance of patient stratification based on mitochondrial metabolites and the development of personalized therapeutic approaches. Her innovative work bridges the gap between mitochondrial dysfunction, mood disorders, and metabolic diseases, contributing significantly to the field of nutritional psychiatry.

🤝 Collaborations & Memberships:

  • Collaborations: 4
  • Professional Memberships: 1

📚Notable Publications

  1. Zachos KA, et al. Mitochondrial Biomarkers and Metabolic Syndrome in Bipolar Disorder. Psychiatry Research. 2024.
  2. Bodenstein DF, et al. Optimization of differential filtration-based mitochondrial isolation for mitochondrial transplant to cerebral organoids. Stem Cell Research & Therapy. 2023.
  3. Duong A, et al. Mitochondrial Genetics and Function in Affected Families with Bipolar Disorder and Mitochondrial Disease. Bipolar Disorders. 2019.
  4. Kuang H, et al. Lactate in Bipolar Disorder: A Systematic Review and Meta-Analysis. Psychiatry Clin Neuroscience. 2018.

Mr. Tongzhen Si | Innovative Leadership | Young Scientist Award

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Mr. Tongzhen Si | Innovative Leadership | Young Scientist Award

🔗 Professional Profiles

Summary

Tongzhen Si is a dedicated researcher in computer vision and image processing, with a Ph.D. from Wuhan University. They currently contribute to scientific research at Jinan University and have a robust publication record.

Education

🎓 Ph.D. in Computer Science and Technology
🗓️ Wuhan University, China (June 2023)
🏆 Awarded an excellent doctorate

Professional Experience

👩‍🔬 Researcher
🗓️ Jinan University, China (2023-Present)
📚 Engaged in scientific research in the fields of computer vision and image processing

Research Interests

🔍 Computer Vision
📸 Image Processing

Tongzhen Si’s work in these areas has resulted in the publication of 25 academic papers, including 2 highly cited papers, contributing significantly to the advancement of these fields

Publication Top Noted

Semantic-aware Transformer with Feature Integration for Remote Sensing Change Detection

    • Authors: Li, P., Si, T., Ye, C., Guo, Q.
    • Journal: Engineering Applications of Artificial Intelligence
    • Volume: 135
    • Issue: –
    • Pages: 108774
    • Year: 2024

Homogeneous and Heterogeneous Optimization for Unsupervised Cross-Modality Person Reidentification in Visual Internet of Things

    • Authors: Si, T., He, F., Li, P., Ye, M.
    • Journal: IEEE Internet of Things Journal
    • Volume: 11
    • Issue: 7
    • Pages: 12165–12176
    • Year: 2024

Homogeneous and Heterogeneous Optimization for Unsupervised Cross-Modality Person Reidentification in Visual Internet of Things

    • Authors: Si, T., He, F., Li, P., Ye, M.
    • Journal: IEEE Internet of Things Journal
    • Volume: 11
    • Issue: 7
    • Pages: 12165–12176
    • Year: 2024

A Decomposition-based Many-objective Evolutionary Algorithm with Weight Grouping and Adaptive Adjustment

    • Authors: Gao, X., He, F., Luo, J., Si, T.
    • Journal: Memetic Computing
    • Volume: 16
    • Issue: 1
    • Pages: 91–113
    • Year: 2024

UnifiedSC: A Unified Framework via Collaborative Optimization for Multi-task Person Re-identification

    • Authors: Si, T., He, F., Li, P.
    • Journal: Applied Intelligence
    • Volume: 54
    • Issue: 4
    • Pages: 2962–2975
    • Year: 2024

Prof. Xing Huang Innovative Leadership | Best Researcher Award

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Prof. Xing Huang – Innovative Leadership | Best Researcher Award

🧑‍🏫Prof Xing Huang, Northwestern Polytechnical University, China 

🔗 Professional Profiles

🎓 Education

  • Nov 2016 – Oct 2017: Visiting PhD in Computer Science, Department of Electrical and Computer Engineering, Duke University, USA 🇺🇸
  • Sep 2013 – Jun 2018: PhD in Intelligent Information Processing, College of Physics and Information Engineering, Fuzhou University, China 🇨🇳
  • Sep 2009 – Jun 2013: Bachelor in Computer Science and Technology, College of Mathematics and Computer Science, Fuzhou University, China 🇨🇳

👨‍🔬 Employment

  • Dec 2022 – Present: Full Professor, School of Computer Science, Northwestern Polytechnical University, China 🇨🇳
  • Aug 2022 – Nov 2022: Postdoctoral Research Fellow, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong 🇭🇰
  • Dec 2020 – Apr 2022: Humboldt Research Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Dec 2019 – Nov 2020: TUFF Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Sep 2018 – Oct 2019: MOST Fellow, Postdoctoral Research Fellow, Department of Computer Science, National Tsing Hua University, Taiwan 🇹🇼

💡 Research Topics

  • 🧩 Electronic Design Automation
  • 🧬 Microfluidic Biochips and VLSI Circuits
  • 🤖 Artificial Intelligence and Machine Learning
  • 📊 Algorithm Design and Analysis
  • 🖥️ Computer-Aided Design

📞 Contact Information

Publication Top Noted

Paper Title : Hdr-nerf: High dynamic range neural radiance fields

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2022
    • Citations : 110

Paper Title : AIM 2020: Scene relighting and illumination estimation challenge

    • Authors: Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M Parisa Beham, R Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, AN Rajagopalan, Densen Puthussery, PS Hrishikesh, Melvin Kuriakose, C Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng 
    • Journal: Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16
       Year: 2020
    • Citations:  47

Paper Title : Humannorm: Learning normal diffusion model for high-quality and realistic 3d human generation

    • Authors: Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wan 
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 
    • Year: 2024
    • Citations:  26

Paper Title : Local implicit ray function for generalizable radiance field representation

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, Qing Wang  
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2023
    • Citations: 21

Paper Title : SA-AE for any-to-any relighting

    • Authors: Zhongyun Hu, Xin Huang, Yaning Li, Qing Wang
    • Journal:
      European Conference on Computer Vision
    • Year: 2020
    • Citations: 8

Prof Dr. Genggeng Liu | Innovative Leadership | Best Researcher Award |} 2825

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Prof Dr. Genggeng Liu | Innovative Leadership | Best Researcher Award

Prof Dr. Genggeng Liu, Fuzhou University, China

🔗 Professional Profiles

🎓 Academic Qualifications

  • Ph.D. in Mathematics and Computer Science, Fuzhou University, China
    Sep. 2009 – Mar. 2015
  • B.S. in Mathematics and Computer Science, Fuzhou University, China
    Sep. 2005 – Jul. 2009

👨‍🏫 Academic Positions

  • Full Professor, College of Computer and Data Science, Fuzhou University
    Sep. 2023 – present
  • Associate Professor, College of Computer and Data Science, Fuzhou University
    May. 2021 – Sep. 2023
  • Associate Professor, College of Mathematics and Computer Science, Fuzhou University
    Jul. 2018 – May. 2021
  • Lecturer, College of Mathematics and Computer Science, Fuzhou University
    Jul. 2015 – Jul. 2018

🏅 Honors & Recognitions

  • Fujian Outstanding Young Scholars
  • Fujian High Level Talents (C-Level)

📚 Selected Publications

  • Fault-Tolerance-Oriented Physical Design for Fully Programmable Valve Array Biochips
    G. G. Liu, Y. H. Zhu, W. Z. Guo, and X. Huang
    Proceedings of ACM/IEEE Design Automation Conference (DAC), 2023, pp. 1-6.
  • Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement Learning
    X. Huang, H. Y. Cai, W. Z. Guo, G. G. Liu, T.-Y. Ho, K. Chakrabarty, and U. Schlichtmann
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 1, pp. 277-290, 2024.
  • Design Automation for Continuous-Flow Microfluidic Biochips: A Comprehensive Review
    G. G. Liu, H. B. Huang, Z. S. Chen, H. X. Lin, H. Liu, X. Huang, and W. Z. Guo
    Integration-the VLSI Journal (INTEGRATION), vol. 82, pp. 48-66, 2022.
  • Adaptive Control-Logic Routing Flow for Fully Programmable Valve Array Using Deep Reinforcement Learning
    H. Y. Cai, G. G. Liu*, W. Z. Guo, Z. P. Li, T.-Y. Ho, and X. Huang
    Asia and South Pacific Design Automation Conference (ASP-DAC), 2024, pp. 564-569.
  • Towards Automated Testing of Multiplexers in Fully Programmable Valve Array Biochips
    G. G. Liu, Y. Q. Zeng, Y. H. Zhu, H. Y. Cai, W. Z. Guo, Z. P. Li, T.-Y. Ho, and X. Huang

Dr. Genggeng Liu is a prominent figure in the field of computer and data science, particularly known for his contributions to the design and automation of microfluidic biochips. His work has significantly advanced fault-tolerant design and control-logic synthesis, employing cutting-edge techniques such as reinforcement learning. Dr. Liu’s research has been recognized through prestigious publications and numerous awards, underscoring his impact on the academic and scientific community.

Publication Top Noted

Paper Title : Multilayer obstacle-avoiding X-architecture Steiner minimal tree construction based on particle swarm optimization

    • Authors: Genggeng Liu, Xing Huang, Wenzhong Guo, Yuzhen Niu, Guolong Chen
    • Journal: IEEE Transactions on Cybernetics
    • Year: 2015
    • Citations : 97

Paper Title : A PSO-based timing-driven Octilinear Steiner tree algorithm for VLSI routing considering bend reduction

    • Authors:Genggeng Liu, Wenzhong Guo, Yuzhen Niu, Guolong Chen, Xing Huang
    • Journal: Soft Computing 
    • Year: 2015
    • Citations:  87

Paper Title : A unified algorithm based on HTS and self-adapting PSO for the construction of octagonal and rectilinear SMT

    • Authors: Genggeng Liu, Zhisheng Chen, Zhen Zhuang, Wenzhong Guo, Guolong Chen
    • Journal: Soft Computing
    • Year: 2020
    • Citations:  85

Paper Title :Obstacle-avoiding algorithm in X-architecture based on discrete particle swarm optimization for VLSI design

    • Authors: He, X.-H., Shi, Y.-Y., Zhou, X.-L., …, Zhang, Z.-K., Huang, Q.-C.
    • Journal: ACM Transactions on Design Automation of Electronic Systems (TODAES)
    • Year: 2015
    • Citations: 70

Paper Title : A hybrid multi-objective PSO algorithm with local search strategy for VLSI partitioning

    • Authors: Wenzhong Guo, Genggeng Liu, Guolong Chen, Shaojun Peng
    • Journal: Frontiers of Computer Science
    • Year: 2014
    • Citations: 58