Jørgen Slots | Clinical Neuroscience |

Prof. Dr. Jørgen Slots | Clinical Neuroscience | Best Researcher Award

Prof. Dr. Jørgen Slots, University of Southern California,  United States.

Dr. Jørgen Slots is an internationally recognized scholar in periodontology and oral microbiology, with a rich academic and professional background rooted in Denmark, the United States, and Sweden. After completing multiple advanced degrees—including a D.D.S., Ph.D., D.M.D., and M.B.A.—he held tenured and leadership roles at esteemed institutions such as the Royal Dental College, SUNYAB, and the University of Göteborg. His research focused on microbial causes of periodontal disease, bridging the gap between laboratory science and clinical treatment. Throughout his career, he has been a pioneer in integrating microbiology into dental education and has significantly influenced both teaching and clinical standards globally. His work continues to inform practices in oral health and inspire the next generation of researchers and clinicians.

Profile

Google Scholar

🎓 Early Academic Pursuits

Born in 1944 in Vejle, Denmark, Dr. Jørgen Slots embarked on a lifelong journey in dentistry and biomedical science that began at the prestigious Royal Dental College in Copenhagen. He earned his D.D.S. in 1969 and continued to delve deeper into academic excellence with an M.S. (Lic. Odont.) in 1974. His passion for periodontology led him to complete postgraduate education in this specialty by 1976, setting the stage for a research-intensive career. Not stopping there, he pursued advanced studies in microbiology at the Forsyth Dental Center in Boston, Massachusetts, where he earned a Certificate in Microbiology in 1977. By 1979, he had completed his doctoral thesis (Dr. Odont./Ph.D.), a reflection of his rigorous scientific training and commitment to academic inquiry.

🧪 Professional Endeavors in Dental Science

Dr. Slots’ career spans both private practice and academia, beginning with clinical work in Copenhagen from 1969 to 1976. However, his true calling was in academia and research, where he quickly rose through the ranks at the Royal Dental College, becoming a tenured associate professor in the Department of Periodontology and Bacteriology. His academic influence extended internationally as he moved to the United States, joining the State University of New York at Buffalo (SUNYAB) as a visiting associate professor in 1977. His multifaceted roles there included teaching, research, and graduate mentorship. In 1982, his expertise was recognized with a professorial and chair appointment at the University of Göteborg in Sweden, where he led the Department of Oral Microbiology until 1986.

🔬 Contributions and Research Focus

Dr. Slots’ core research has focused on periodontal microbiology, particularly the microbial etiology of periodontal diseases and the role of anaerobic bacteria in oral infections. His extensive background in both clinical periodontology and microbiology enabled him to bridge these disciplines, pioneering investigations into microbial pathogenesis, host responses, and antimicrobial therapy. His work at the intersection of dentistry and microbiology has contributed significantly to the understanding of how bacterial biofilms influence periodontal health and disease progression. Through his positions in leading institutions, he has mentored countless students and young researchers in translational oral biology.

🏅 Accolades and Recognition

Throughout his distinguished career, Dr. Slots has earned numerous accolades that acknowledge both his scholarly achievements and teaching excellence. His academic journey includes obtaining a D.M.D. from the University of Pennsylvania in 1986, further consolidating his clinical credentials. In 1989, he expanded his skillset by earning an M.B.A. from the Wharton School, indicating his interest in healthcare administration and leadership. Such accomplishments reflect a rare blend of scientific acumen, clinical expertise, and administrative insight that is seldom seen in one individual. His tenured appointments and leadership roles speak volumes about the respect he commands in his field.

🌍 Impact and Global Influence

Dr. Slots’ contributions have had global implications, influencing not only North American dental education but also shaping European periodontal research. His tenure at institutions in Denmark, Sweden, and the United States illustrates his international standing and thought leadership. By combining laboratory science with clinical application, he has contributed to international standards in oral hygiene practices, periodontal disease diagnostics, and treatment protocols. His collaborative work across continents has helped create a robust, evidence-based approach to periodontal care that is taught and practiced worldwide.

📚 Legacy in Dental Education and Microbiology

As a graduate faculty member and department chair, Dr. Slots played a vital role in curriculum development, graduate training, and interdisciplinary integration of oral microbiology into mainstream dental education. He has influenced a generation of oral biologists and periodontists who continue to build upon his foundational work. His teaching style, grounded in research and clinical relevance, made him a beloved educator and mentor. The ripple effects of his academic stewardship can still be seen in the progressive research and pedagogical models employed at the University of Southern California and other leading dental institutions.

🔭 Future Vision and Continuing Relevance

Though his primary academic career has matured, the legacy of Dr. Slots remains very much alive in ongoing research studies, collaborative clinical trials, and academic dialogues. His integration of clinical practice with microbiological research stands as a model for future dental scientists aiming to address emerging challenges in oral-systemic health. With a unique blend of intellectual rigor and compassionate mentorship, Dr. Slots has laid a foundation that will support future breakthroughs in both academic and applied dental sciences. His life’s work continues to inspire innovation and scientific inquiry in oral health worldwide.

Publication

Polymerase chain reaction detection of 8 putative periodontal pathogens in subgingival plaque of gingivitis and advanced periodontitis lesions
A Ashimoto, C Chen, I Bakker, J Slots – 1996

Subgingival microflora and periodontal disease
J Slots – 1979

Periodontitis: facts, fallacies and the future
J Slots – 2017

Black-pigmented Bacteroides species, Capnocytophaga species, and Actinobacillus actinomycetemcomitans in human periodontal disease: virulence factors in colonization, survival
J Slots, RJ Genco – 1984

Bacteroides gingivalis, Bacteroides intermedius and Actinobacillus actinomycetemcomitans in human periodontal diseases
J Slots, MA Listgarten – 1988

Selective medium for isolation of Actinobacillus actinomycetemcomitans
J Slots – 1982

Actinobacillus actinomycetemcomitans in Human Periodontal Disease: a Cross-Sectional Microbiological Investigation
J Slots, HS Reynolds, RJ Genco – 1980

Diabetes and periodontal diseases: consensus report of the Joint EFP/AAP Workshop on Periodontitis and Systemic Diseases
ILC Chapple, R Genco, Working Group 2 of the Joint EFP/AAP Workshop – 2013

The occurrence of Actinobacillus actinomycetemcomitans, Bacteroides gingivalis and Bacteroides intermedius in destructive periodontal disease in adults
J Slots, L Bragd, M Wikström, G Dahlén – 1986

Actinobacillus actinomycetemcomitans and Porphyromonas gingivalis in human periodontal disease: occurrence and treatment
J Slots, M Ting – 1999

Antibiotics in periodontal therapy: advantages and disadvantages
J Slots, TE Rams – 1990

The predominant cultivable microflora of advanced periodontitis
J Slots – 1977

Actinobacillus actinomycetemcomitans in Human Periodontal Disease: Prevalence in Patient Groups and Distribution of Biotypes and Serotypes Within Families
JJ Zambon, LA Christersson, J Slots – 1983

Systemic antibiotic therapy in periodontics
AJV Winkelhoff, TE Rams, J Slots – 1996

Microbial differences in 2 clinically distinct types of failures of osseointegrated implants
ES Rosenberg, JP Torosian, J Slots – 1991

The predominant cultivable organisms in juvenile periodontitis
J Slots – 1976

Suppression of the periodontopathic microflora in localized juvenile periodontitis by systemic tetracycline
J Slots, BG Rosling – 1983

Periodontal therapy in humans. I. Microbiological and clinical effects of a single course of periodontal scaling and root planing, and of adjunctive tetracycline therapy
J Slots, P Mashimo, MJ Levine, RJ Genco – 1979

Serology of oral Actinobacillus actinomycetemcomitans and serotype distribution in human periodontal disease
JJ Zambon, J Slots, RJ Genco – 1983

🏁 Conclusion

Dr. Jørgen Slots’ career stands as a remarkable example of interdisciplinary excellence in dental science. Through his research in periodontal microbiology, leadership in academic institutions, and dedication to global dental education, he has left a lasting legacy. His contributions have not only advanced scientific knowledge but also improved clinical approaches to oral healthcare worldwide. Dr. Slots remains a towering figure whose impact resonates in the fields of periodontology, microbiology, and beyond.

Jiwei Nie | Emerging Areas in Neuroscience | Best Researcher Award

Dr. Jiwei Nie | Emerging Areas in Neuroscience | Best Researcher Award

Dr. Jiwei Nie, Haier Group, China.

Jiwei Nie is an accomplished Chinese researcher specializing in Artificial Intelligence-based Pattern Recognition and Intelligent Detection, with a strong focus on AI large models. His academic journey began with a Bachelor’s in Mechanical Design and Automation and evolved into a deeply integrated path through a Master’s and Ph.D. in Control Science and Engineering at Northeastern University. Throughout his doctoral research, he has made notable contributions to the field of Visual Place Recognition (VPR) for autonomous systems, publishing in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems and IEEE Robotics and Automation Letters. Jiwei’s innovations—especially in lightweight, training-free image descriptors and adaptive texture fusion—have positioned him at the forefront of applied AI in robotics and automation. He has also presented at major international conferences and holds multiple patents.

Profile

Google Scholar

🎓 Early Academic Pursuits

 Jiwei Nie displayed a deep interest in engineering and innovation from an early age. His academic journey began at Hebei University of Science and Technology, where he pursued a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation. His strong academic performance earned him first-class honors, and he graduated in July 2018. Motivated to delve deeper into the fusion of machinery and intelligence, he advanced to Northeastern University, completing his Master’s degree in Mechanical and Electronic Engineering by July 2020. Driven by a vision to integrate control systems with intelligent technologies, he enrolled in a PhD program in Control Science and Engineering under a prestigious Integrated Master-PhD track, further solidifying his expertise in the intelligent automation domain.

💼 Professional Endeavors

Jiwei’s professional development has been tightly interwoven with his academic path, where he has continuously applied theoretical insights to practical problems in Artificial Intelligence and Control Systems. As a member of the Communist Party of China, he approaches his work with a strong sense of discipline and public responsibility. His fluency in English, proven by his CET-6 certification, has enabled him to actively contribute to the global research community, engaging in international collaborations and conferences. Alongside his research, Jiwei has contributed to academic circles through mentorship roles and cross-institutional projects, making a significant impact both inside and outside his university.

🤖 Contributions and Research Focus

Jiwei Nie’s research is at the forefront of Artificial Intelligence-based Pattern Recognition and Intelligent Detection, with a special emphasis on AI Large Models. His work focuses on developing lightweight, efficient algorithms for Visual Place Recognition (VPR)—a critical capability for autonomous vehicles and robotic systems. He has pioneered new methods in saliency encoding, feature mixing, and texture fusion, leading to more robust and adaptive AI systems. Through these contributions, he has addressed real-world challenges in long-term navigation and intelligent perception, pushing the boundaries of control science and machine intelligence.

🏆 Accolades and Recognition

During his PhD, Jiwei published multiple high-impact articles in leading SCI-indexed journals. His paper in the IEEE Transactions on Intelligent Transportation Systems, titled “A Training-Free, Lightweight Global Image Descriptor for Long-Term Visual Place Recognition Toward Autonomous Vehicles”, has been particularly well-received and is ranked in Q1. Additional works in IEEE Robotics and Automation Letters have been ranked in Q2, highlighting his innovations such as MixVPR++ and Efficient Saliency Encoding. Furthermore, Jiwei’s presence has been notable at world-class conferences like ICPR, ICRA, and IROS, where he presented his work to a global audience of peers and experts. He also holds several patents, including an invention patent, and continues to submit further manuscripts to top-tier venues.

🌍 Impact and Influence

Jiwei’s research has had a significant influence on the future of intelligent transportation and autonomous systems. His development of training-free VPR models has contributed to making autonomous navigation more scalable and cost-effective, especially in dynamic environments where traditional AI systems fail. His proposed methods are not only academically rigorous but are also computationally efficient, paving the way for real-world deployment. Through his innovation and academic collaborations, he has helped bridge the gap between theoretical AI models and practical engineering applications, which is vital for industries moving toward Industry 4.0 and smart mobility solutions.

🧠 Legacy and Future Contributions

Looking ahead, Jiwei Nie aspires to deepen his research in generalized large AI models, expanding the scalability and generalization abilities of pattern recognition systems across domains beyond transportation—such as smart surveillance, industrial robotics, and medical imaging. His planned future publications and continued patent filings reflect a strong ambition to lead the next generation of intelligent systems research. Jiwei is committed to fostering innovation that aligns with both academic excellence and societal needs, aiming to establish himself as a pioneering researcher and mentor in the evolving field of intelligent detection and AI integration.

🔬 Vision in AI and Control Engineering

Jiwei Nie stands as a rising expert in the convergence of Artificial Intelligence, Control Science, and Robotic Vision, a field essential for the future of smart systems and automation. His deep technical knowledge, coupled with a strategic vision, positions him to contribute not only as a researcher but also as a thought leader in AI-driven engineering. With a career rooted in innovation and societal benefit, his trajectory points toward a legacy of breakthroughs that will influence smart cities, autonomous systems, and global AI research landscapes for years to come.

Publication

  • Title: A survey of extrinsic parameters calibration techniques for autonomous devices
    Authors: J Nie, F Pan, D Xue, L Luo
    Year: 2021

 

  • Title: A training-free, lightweight global image descriptor for long-term visual place recognition toward autonomous vehicles
    Authors: J Nie, JM Feng, D Xue, F Pan, W Liu, J Hu, S Cheng
    Year: 2023

 

  • Title: Forest: A lightweight semantic image descriptor for robust visual place recognition
    Authors: P Hou, J Chen, J Nie, Y Liu, J Zhao
    Year: 2022

 

  • Title: A novel image descriptor with aggregated semantic skeleton representation for long-term visual place recognition
    Authors: J Nie, JM Feng, D Xue, F Pan, W Liu, J Hu, S Cheng
    Year: 2022

 

  • Title: Efficient saliency encoding for visual place recognition: Introducing the lightweight pooling-centric saliency-aware VPR method
    Authors: J Nie, D Xue, F Pan, Z Ning, W Liu, J Hu, S Cheng
    Year: 2024

 

  • Title: 3D semantic scene completion and occupancy prediction for autonomous driving: A survey
    Authors: G Xu, W Liu, Z Ning, Q Zhao, S Cheng, J Nie
    Year: 2023

 

  • Title: A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition
    Authors: N Jiwei, F Joe-Mei, X Dingyu, P Feng, L Wei, H Jun, C Shuai
    Year: 2022

 

  • Title: Optic Disc and Fovea Localization based on Anatomical Constraints and Heatmaps Regression
    Authors: L Luo, F Pan, D Xue, X Feng, J Nie
    Year: 2021

 

  • Title: A Novel Fractional-Order Discrete Grey Model with Initial Condition Optimization and Its Application
    Authors: Y Liu, F Pan, D Xue, J Nie
    Year: 2021

 

  • Title: EPSA-VPR: A lightweight visual place recognition method with an Efficient Patch Saliency-weighted Aggregator
    Authors: J Nie, Q Zhào, D Xue, F Pan, W Liu
    Year: 2025

 

🔚 Conclusion

With a solid foundation in engineering and control systems and an innovative mindset in artificial intelligence, Jiwei Nie is poised to become a key figure in the evolution of intelligent automation technologies. His work contributes not only to academic theory but also to practical applications that influence the development of autonomous vehicles, intelligent detection systems, and large AI model architectures. As he approaches the completion of his Ph.D. in early 2025, Jiwei is expected to continue pushing technological boundaries, inspiring future advancements in AI research and real-world intelligent systems deployment.