Marialuisa Longo | Orthodontics | Best Researcher Award

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Dr. Marialuisa Longo | Orthodontics | Best Researcher Award

University of Bari “Aldo Moro” | Italy

Dr. Marialuisa Longo is a dedicated academic and researcher at the University of Bari “Aldo Moro,” specializing in orthodontics and dentistry. Her work integrates both clinical expertise and research-driven innovation, with a strong commitment to enhancing patient care through advanced methodologies and digital tools. Through her contributions, she has helped bridge the gap between traditional orthodontic practices and modern technological approaches. Her scholarly output includes several peer-reviewed journal publications that highlight her impact on improving treatment effectiveness and patient experience. She is an active member of professional organizations such as SIDO, SUSO, and AIDOR, which reflects her commitment to professional development and collaborative knowledge exchange. Dr. Longo’s research and academic endeavors exemplify a balance between theory and practice, making her contributions valuable to both scientific advancement and clinical applications. With a clear vision of advancing dental sciences, she continues to inspire innovation and quality care in orthodontics.

Profile

ORCID

Education

Dr. Marialuisa Longo pursued her academic journey at the University of Bari “Aldo Moro,” where she developed her expertise in dentistry and orthodontics. Her education was marked by rigorous training in both theoretical knowledge and practical applications, equipping her with the skills necessary to excel in academic and clinical practice. The curriculum emphasized an interdisciplinary approach, fostering her understanding of advanced orthodontic methodologies, patient-centered care, and integration of emerging technologies into dental practice. Throughout her education, Dr. Longo was actively involved in research-oriented learning, which laid the foundation for her later scholarly contributions. She demonstrated a strong aptitude for critical thinking, clinical problem-solving, and innovation in dental sciences. Her academic preparation provided her with a comprehensive understanding of the complexities of oral health and orthodontics, shaping her career as both a practitioner and a researcher. The combination of scientific rigor and clinical immersion during her education defines her academic excellence.

Experience

Dr. Marialuisa Longo has cultivated her professional experience at the University of Bari “Aldo Moro,” where she combines academic research, teaching, and clinical practice in dentistry and orthodontics. Her professional journey reflects a dedication to advancing orthodontic treatment through innovative techniques and interdisciplinary collaborations. She has authored several peer-reviewed journal articles that demonstrate her ability to translate scientific knowledge into practical solutions. Her work emphasizes enhancing treatment effectiveness, patient comfort, and the integration of digital tools into modern orthodontic practice. Through her memberships in professional organizations such as SIDO, SUSO, and AIDOR, Dr. Longo engages with the wider dental community, ensuring her work remains informed by global standards and contemporary developments. Her experience is also characterized by mentoring and contributing to the academic development of students, fostering the next generation of dental professionals. The combination of clinical, research, and academic experience makes her a versatile and impactful contributor to dentistry.

Awards and Honors

Dr. Marialuisa Longo’s academic and professional achievements reflect recognition of her contributions to the field of dentistry and orthodontics. Her published research in peer-reviewed journals showcases her commitment to advancing knowledge and improving clinical practice, earning respect within the scientific community. As an active member of prestigious professional associations such as SIDO, SUSO, and AIDOR, she has gained acknowledgment for her engagement in collaborative research and clinical excellence. While her career is still evolving, the quality and significance of her work demonstrate award-worthy accomplishments in integrating innovative technologies with orthodontic care. Her recognition extends beyond publications to her role as a contributor to the academic and clinical missions of the University of Bari “Aldo Moro.” Her ongoing commitment to excellence, coupled with her dedication to patient-focused research and practice, positions her as a promising and deserving candidate for professional honors and awards within the dental sciences.

Research Focus

Dr. Marialuisa Longo’s research focuses on orthodontics and the development of innovative strategies that improve patient care and clinical efficiency. She is particularly interested in integrating digital tools and advanced technologies into traditional orthodontic practices, making treatments more precise, effective, and comfortable for patients. Her published works highlight her contributions to bridging the gap between clinical methodologies and scientific research, ensuring that innovation is directly applied in real-world practice. By collaborating across disciplines within the University of Bari “Aldo Moro,” she contributes to the adoption of evidence-based techniques that transform orthodontic outcomes. Her focus also extends to improving patient experience, emphasizing comfort and efficiency in treatment protocols. Through active involvement in professional associations, she continually aligns her research with the evolving standards of global dentistry. Dr. Longo’s research represents a blend of academic rigor and clinical practicality, aimed at advancing orthodontics through innovation and patient-centered approaches.

Conclusion

Dr. Marialuisa Longo exemplifies the spirit of innovation and dedication in orthodontics through her research, clinical practice, and academic contributions at the University of Bari “Aldo Moro,” where she continuously strives to integrate modern technologies, enhance patient care, and contribute to the global advancement of dentistry, making her an outstanding candidate for the Best Researcher Award.

Muhammad Saeed | Clinical Research | Best Researcher Award

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Dr. Muhammad Saeed | Clinical Research | Best Researcher Award

PRX Research | United States

Dr. Muhammad  Saeed is a highly accomplished physician and clinical research leader with extensive expertise in advancing medical innovation. He has dedicated his career to bridging clinical practice and research, focusing on infectious diseases, chronic illnesses, and novel therapeutics. With a foundation in medicine from Dow Medical College, he progressed to leadership positions in multiple U.S.-based clinical research centers, where he directed diverse clinical trials across infectious diseases, neurology, oncology, cardiology, and respiratory medicine. His contributions extend to both academia and industry, including collaborative work with prestigious global institutions. Dr. Saeed’s scholarly work encompasses book chapters and peer-reviewed publications that highlight his dedication to evidence-based medicine and medical education. Beyond his scientific contributions, he is recognized for mentoring young professionals and promoting ethical research practices. His blend of clinical acumen, research excellence, and leadership has positioned him as a key figure in modern translational research and therapeutic development.

Profile

ORCID

Education

Dr. Muhammad Saeed’s academic journey reflects a commitment to excellence and lifelong learning. He earned his Bachelor of Medicine and Bachelor of Surgery (MBBS) from Dow Medical College, University of Karachi, laying the groundwork for his career in clinical medicine and research. His early training emphasized core competencies in surgery and internal medicine, which provided him with strong clinical insights that continue to inform his research leadership. He later pursued advanced studies at Johns Hopkins University, where he completed a Master of Science, equipping him with rigorous training in epidemiology, clinical trial design, and evidence-based research methodologies. His education also includes formative years at Habib Public School in Karachi, where he achieved GCE O’ Levels under the University of Cambridge Local Examination Syndicate. This broad educational foundation, spanning global institutions of repute, has allowed him to integrate strong clinical skills with research innovation, shaping his role as a physician-scientist and educator.

Experience

Dr. Muhammad Saeed’s professional experience spans diverse roles in clinical medicine and research. He began his medical career as a resident physician at Civil Hospital Karachi, training in surgery and medicine. His early exposure to hospital-based care was complemented by research responsibilities at Aga Khan University Hospital, where he worked as a Clinical Research Associate on infectious diseases and public health projects. Transitioning to the United States, he held leadership positions at Advanced Clinical Research Associates in Plano, HRMD Research in Dallas, and later Dallas Regional Medical Center and PRX Research in Mesquite, where he currently serves as Clinical Research Director. In these roles, he has overseen numerous multicenter, international clinical trials across therapeutic areas including oncology, neurology, cardiology, infectious diseases, and COVID-19. His leadership ensures regulatory compliance, patient safety, and high-quality outcomes in research. This experience highlights his ability to integrate patient care, research innovation, and administrative excellence.

Awards and Honors

Dr. Muhammad Saeed has been recognized for his outstanding contributions to clinical research, academic medicine, and patient-centered healthcare. His work in infectious disease research and clinical trial leadership has earned him respect among peers in both academic and industry settings. He has collaborated with leading researchers globally, resulting in publications and recognition in international medical circles. His co-authored book, What I Wish I Knew Before Medical School, reflects his dedication to mentoring and educating the next generation of healthcare professionals, further enhancing his academic reputation. His chapter contributions to the International Encyclopedia of Public Health positioned him among notable voices in global health. Over his career, he has been acknowledged for his role in advancing therapeutic development, particularly during the COVID-19 pandemic through multiple high-impact trials. These honors reflect not only his scholarly achievements but also his contributions to improving medical care through innovative and ethical clinical research practices

Research Focus

Dr. Muhammad Saeed’s research focus lies at the intersection of clinical innovation and public health. His academic research has addressed infectious diseases, including typhoid detection in children and diabetes risk factors in underserved communities. In industry, he has spearheaded large-scale multicenter clinical trials across diverse therapeutic areas, including cardiology, oncology, neurology, respiratory diseases, and COVID-19. His work emphasizes patient safety, treatment efficacy, and advancing therapeutic options for conditions with high unmet medical needs. He has been deeply involved in clinical trial design, implementation, and analysis, ensuring robust outcomes that translate into better clinical practices. Beyond therapeutic innovation, Dr. Saeed’s work reflects a commitment to advancing methodologies for early disease detection, novel biomarkers, stem-cell based therapies, and cutting-edge treatments for neurodegenerative and chronic illnesses. His research philosophy integrates medical rigor, ethical practice, and translational application, aiming to bring scientific discovery from the research bench directly to patient care with lasting global impact.

 

Publications

Title: Impacts of Ambient Temperatures on Pediatric Anemia in Sub-Saharan Africa: A Regional Ecological Study
Year: 2025

Title: Evaluation of the Potential Of Rejuveinix Plus Dexamethasone Against Sepsis
Year: 2022

Title: Clinical and Non-clinical Proof of Concept Supporting the Development of RJX As an Adjunct to Standard of Care Against Severe COVID-19
Year: 2022

Title: Factors associated with disease severity and mortality among patients with COVID-19: A systematic review and meta-analysis
Year: 2020

Title: Clinical characteristics, management and outcome of major pulmonary embolism: an experience from a tertiary care center in Pakistan
Year: 2009

Conclusion

Dr. Muhammad  Saeed is a distinguished physician-scientist whose career blends clinical expertise, research leadership, and academic scholarship, with a strong focus on advancing therapeutic innovation, improving patient care, and mentoring future medical professionals through global collaborations and ethical research excellence.

Chaima AOUICHE | Mathematics and Bioinformatics | Outstanding Scientist Award

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Dr. Chaima AOUICHE | Mathematics and Bioinformatics | Outstanding Scientist Award

Dr. Chaima Aouiche is a dedicated academic and researcher in computer science with expertise in artificial intelligence, machine learning, cybersecurity, and bioinformatics. Born on October 24, 1990, in Tebessa, Algeria, she began her academic journey at Larbi Tebessi University and pursued her Ph.D. at Northwestern Polytechnical University (NPU), China. With international exposure, Dr. Aouiche has authored impactful publications on cancer gene prediction, data integration, and AI-based energy systems. She has collaborated across disciplines and countries, contributing to international conferences and peer-reviewed journals. Currently serving as a university teacher in Algeria, she is also a multilingual educator with teaching experience in China and Algeria. Dr. Aouiche combines technical knowledge with strong interpersonal skills and a passion for teaching, traveling, and community service, making her a well-rounded and globally competent scholar committed to innovation and education.

Profile

🎓 Education

Dr. Chaima Aouiche holds a strong academic foundation in computer science. She earned her Bachelor’s degree (2008–2011) and Master’s degree (2011–2013) in Computer Science from Larbi Tebessi University, Algeria, where she was recognized with the “Outstanding Student Award” in 2013. She expanded her horizons by studying the Chinese language for a year (2013–2014) at Northwestern Polytechnical University (NPU) in Xi’an, China. She then pursued a Ph.D. in Computer Science and Technology at NPU (2014–2021), focusing on stage-specific gene prediction, big data integration, and artificial intelligence. Throughout her academic journey, she acquired various global certifications, including Artificial Intelligence Foundations, Advanced Machine Learning, and Deep Learning, further enriching her qualifications. With multilingual skills in Arabic, French, English, and Chinese, she integrates global perspectives into her research and teaching. Her academic path reflects both depth and international breadth.

🧪 Experience

Dr. Chaima Aouiche has a diverse background in academia, industry, and cross-cultural teaching. She began her professional career in project management at MPE-MPI Investments, Tebessa (2011–2013), where she gained hands-on technical and administrative skills. In 2017, she taught English and Arabic in Xi’an, China, enhancing her intercultural communication and educational outreach. Currently, she works as a university teacher in Algeria, engaging in teaching, research supervision, and publication. Her training includes courses in project management, AI, and big data, complemented by technical expertise in programming (Python, Java, R), MATLAB, web technologies, and networking. Her ability to communicate in four languages (Arabic, French, English, Chinese) and her volunteering and mentoring activities reflect her commitment to holistic professional development. Dr. Aouiche’s career is defined by interdisciplinary collaboration, international exposure, and a passion for applied technological solutions, making her an asset in both academia and industry.

🏅 Awards and Honors

Dr. Aouiche’s academic and professional excellence has been recognized through multiple awards and certificates. She was awarded the Outstanding Student Award by Larbi Tebessi University in 2013. Her further accolades include numerous international certifications, such as the HSK 4 Chinese Proficiency Certificate, Artificial Intelligence and Big Data Training (Xi’an Jiaotong University), AI Foundations Masterclass (2023), and Advanced Machine Learning and Deep Learning Certificates (2024). She has also been recognized for her participation in global academic initiatives, such as the International Winter Camp (2017) and the Silk Road Engineering Science Program (2020). In addition to formal honors, her significant co-authorship on high-impact publications in BMC Bioinformatics, Frontiers in Genetics, and IEEE conferences speaks to her professional standing. These accolades collectively highlight her dedication to academic distinction, global engagement, and technological innovation.

🔬 Research Focus

Dr. Aouiche’s research intersects bioinformatics, artificial intelligence, machine learning, and cybersecurity. Her work has emphasized integrating multiple datasets to predict stage-specific cancer-related genes, mapping copy number variations, and modeling aberrant genomic events. She co-authored key studies published in BMC Bioinformatics, Frontiers in Genetics, and Quantitative Biology, which propose dynamic gene modules and data-driven cancer diagnostics. Recent work explores ensemble learning and AI approaches to detect cyberattacks using integrated datasets, showing a pivot toward cybersecurity and smart systems. Additionally, her research extends into renewable energy, specifically applying AI models to optimize photovoltaic systems and MPPT (Maximum Power Point Tracking) control. Her interdisciplinary approach bridges computational biology and engineering, reflecting her adaptability and innovative vision. Dr. Aouiche is particularly interested in applied AI that addresses real-world challenges in medicine, energy, and security, with a growing focus on industry 4.0 applications.

✅ Conclusion

Dr. Chaima Aouiche is an innovative computer scientist and academic whose international education, multidisciplinary research in AI and bioinformatics, commitment to teaching, and dynamic professional experiences make her a valuable contributor to global science and technology.

Publications

Mai Anh Bui | Plastic Surgeon in Developing countries | Best Researcher Award

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Prof Dr. Mai Anh Bui | Plastic Surgeon in Developing countries | Best Researcher Award

 

Profile

Education

Dr. Mai Anh Bui is a consultant Plastic Surgeon and Vice Chief of Scientific Research Department at Viet Duc University Hospital from Vietnam. She is also Assist. Professor at Hanoi Medical University and University of Medicine and Pharmacy, Vietnam National University. She completed a plastic surgery residency in 2006. Her specialty is to contribute to restoring the patients’ peripheral nerve injury and reconstruction of the patients with craniomaxillofacial surgery and head & neck reconstructions. In particular, she also specializes in facial paralysis with over 200 patients. Her Ph.D. is on the Using Masseteric nerve in Facial Reanimation. She has published over 60 articles in domestic and international journals.She refined her microsurgical skills by visiting several prestigious Institutions: Royal North Shore Hospital, Sydney University, Australia, Asan Hospital, Seoul, Korea, SickKids Hospital, Toronto, Canada, and craniofacial skills in Chang Gung Memorial Hospital, Taiwan.

Work experience

She has successfully completed [X] research projects and is currently working on [Y] ongoing projects. Her contributions to research are reflected in her citation index in reputed databases such as SCI and Scopus. She has been actively involved in [X] consultancy and industry-sponsored projects, demonstrating her expertise in applying research to real-world challenges. Additionally, she has authored [X] books with ISBN numbers and has contributed to intellectual property development with [X] patents published or under process. With [X] research articles published in indexed journals, she has made a significant impact in her field. She also holds editorial positions in [journals/conferences], further showcasing her leadership in scholarly publishing. Throughout her career, she has collaborated with esteemed national and international institutions, contributing to groundbreaking advancements in her research domain.

Publication

  • Outcome of using the spinal accessory nerve for functional muscle innervation in facial paralysis reconstruction: The first two cases in Vietnam and literature review

    Vietnam Journal of Endolaparoscopic Surgey
    2022-10-25 | Journal article | Author
    DOI: 10.51199/vjsel.2022.4.3
    Part ofISSN: 1859-4506
    CONTRIBUTORS: Mai Anh Bui; Trung Trực Vũ

  • Outcome of repairing posterior interosseous nerve (PIN) injury

    Vietnam Journal of Endolaparoscopic Surgey
    2022-08-15 | Journal article
    DOI: 10.51199/vjsel.2022.3.8
    Part ofISSN: 1859-4506
    CONTRIBUTORS: Mai Anh Bui; Tran Xuan Thach, Vu Trung Truc

  • Reconstruction of upper extremity defect by using Superficial circumflex iliac artery perforator (SCIP) free flap: 03 cases and literature review

    Vietnam Journal of Endolaparoscopic Surgey
    2022-03-15 | Journal article
    DOI: 10.51199/vjsel.2022.1.9
    Part of ISSN: 1859-4506

Longqing Cui | Operations research | Best Researcher Award

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Dr. Longqing Cui | Operations research | Best Researcher Award

 

Profile

Education

He pursued a Doctorate in Management Science and Engineering at Hefei University of Technology. Additionally, from November 2021 to November 2022, he was a jointly-supervised doctoral student in Operations and Business Analytics at The Ohio State University. Prior to his doctoral studies, he completed a Bachelor’s degree in Mathematics and Applied Mathematics at Hefei University of Technology from September 2013 to June 2017.

Work experience

He has been serving as a Lecturer at Alibaba Business School, Hangzhou Normal University. His research focuses on high-end equipment development and collaborative decision-making in manufacturing. He is the Principal Investigator (PI) for two ongoing projects. The first, funded by the Ministry of Education of the People’s Republic of China under the Youth Fund Project of Humanities and Social Sciences Research (Project No. 24YJC630030), explores collaborative decision-making for high-end equipment development resources in real-time production planning, running from January 2025 to December 2027 with a budget of 80,000 yuan. The second project, supported by the Zhejiang Provincial Natural Science Foundation Committee under the Youth Fund Project (Project No. LQN25G010007), investigates collaborative scheduling for high-end equipment development in distributed manufacturing enterprises within dynamic environments. This project runs from January 2025 to December 2026, with a funding of 60,000 yuan.

Publication

  • 1] Longqing Cui; Xinbao Liu; Shaojun Lu; Zhaoli Jia. A variable neighborhood
    search approach for the resource – constrained multi – project collaborative
    scheduling problem. Applied Soft Computing, 2021, 107:107480. (Journal Article)
    (Q1, First Author)
  • 2] Weijie Wang; Zhehang Xu; Shijia Hua; Longqing Cui; Jianlin Zhang; Fanyuan
    Meng. Threshold – initiated spatial public goods games. Chaos, Solitons & Fractals,
    2024, 184:115003. (Q1, Corresponding Author)
  • Zhehang Xu; Xu Liu; Hainan Wang; Longqing Cui; Xiao – Pu Han; Fanyuan Meng.
    Free – rider or contributor: A dilemma in spatial threshold public goods games.
    Chaos, Solitons & Fractals, 2024, 187:115455. (Q1, Corresponding Author)
  • Lei Chen; Yanpeng Zhu; Jiadong Zhu; Longqing Cui; Zhongyuan Ruan; Michael
    Small; Kim Christensen; Run – Ran Liu; Fanyuan Meng. A simple model of global
    cascades on random hypergraphs. Chaos, Solitons and Fractals, 2025, 193(116081).
    (Q1, Corresponding Author)
  • Che Xu; Yingming Zhu; Peng Zhu; Longqing Cui. Meta – learning – based sample
    discrimination framework for improving dynamic selection of classifiers under
    label noise. Knowledge – Based Systems, 2024, 295:111811. (Q1)