Babapelumi Adejuyigbe | Orthopedics | Best Researcher Award

Mr Babapelumi Adejuyigbe | Orthopedics | Best Researcher Award

Student, David Geffen School of Medicine at UCLA, United States

Libero Nigro is a distinguished academic and expert in Computer Engineering. He holds the position of Full Professor at the University of Calabria (UNICAL), Italy, where he has been a key figure in the Department of Engineering since 1979. Throughout his career, he has contributed significantly to the education of computer science students, specializing in topics such as object-oriented programming, real-time systems, and multi-agent systems. In addition to his academic responsibilities, Nigro has been involved in several high-profile research projects in collaboration with national and international organizations. He has mentored multiple PhD students and contributed to scientific journals, notably in the areas of distributed systems, simulation, and system modeling. Nigro has co-authored multiple books and papers, marking his impact in the field. His work continues to shape the future of computational engineering through education and groundbreaking research.

Profile

Orcid

Strengths for the Award

  1. Extensive Experience in Academia: Libero Nigro has a distinguished academic career, spanning several decades. He has held various positions at the University of Calabria (UNICAL), from Assistant Professor to Full Professor of Computer Engineering. His long tenure, spanning over 40 years, showcases his deep commitment to teaching and research.
  2. Leadership in Research: Nigro has been the scientific responsible for numerous national and international research projects funded by significant bodies such as MURST, CNR, and PON. His involvement in high-impact projects, particularly in fields related to software engineering, concurrent systems, and multi-agent systems, demonstrates leadership and substantial contributions to the scientific community.
  3. Supervision of PhD Students: Nigro has mentored multiple PhD students in diverse areas related to computer engineering and simulation. This reflects his role in shaping the next generation of researchers, a key indicator of his influence in the academic world.
  4. Publication and Editorial Contributions: He has co-authored several books and published numerous research articles. He has also served as an editor for respected journals, such as Simulation Modelling Practice and Theory, and contributed to international conferences. His role as a “Top 1% Reviewer” for Software and System Modelling in 2020 highlights his recognized expertise and commitment to improving the quality of research in his field.
  5. Wide-Ranging Research Interests: Nigro’s research covers a broad spectrum, from distributed simulation and agent-based systems to real-time systems, cyber-physical systems, and smart grids. His work in these areas is crucial for the advancement of concurrent and time-dependent distributed systems, and he continues to explore innovative topics such as unsupervised clustering algorithms and the verification of mutual exclusion algorithms.
  6. Recognition and International Influence: His research is recognized internationally, with a strong presence in various prestigious journals and conferences. This reflects his high standing within the global academic community.

Areas for Improvement

  1. Broader Engagement with Industry: While Nigro’s academic and research contributions are significant, there could be more emphasis on collaboration with industry, especially in applied areas like software development, simulation in real-world scenarios, and integration with emerging technologies like AI and IoT.
  2. Public Outreach and Impact: While Nigro’s work is highly specialized and impactful within academic and scientific circles, expanding his public outreach (e.g., in the form of popular science writings, speaking engagements, or collaborations with policy makers) could increase the wider societal impact of his work.
  3. Integration of Emerging Technologies: Although Nigro’s research includes a range of advanced systems and software engineering topics, further exploration into emerging technologies like quantum computing, AI-driven simulation, or blockchain could provide new avenues for research and keep his work at the cutting edge of technological advancements.

Education

Libero Nigro completed his Laurea degree in Electrical Engineering, graduating summa cum laude in 1978 from the University of Calabria (UNICAL), Italy. He later advanced his academic career to become a Full Professor of Computer Engineering at UNICAL. Throughout his educational journey, Nigro focused on areas such as software engineering, computer programming, and real-time systems. His academic background laid the foundation for his extensive research in simulation, distributed systems, and agent-based systems, where he has made notable contributions. Over the years, Nigro has not only contributed to advancing the academic field but has also mentored many doctoral students, helping to shape the next generation of engineers. His work, which spans both theoretical and practical aspects of computer science, has allowed him to remain at the forefront of academic and research excellence in his field.

Experience

Libero Nigro’s professional journey spans over four decades in the field of Computer Engineering. Beginning in 1979, he served as Assistant Professor at the University of Calabria’s Electrical Department, eventually becoming an Associate Professor in 1986 and a Full Professor in 2000. Throughout his tenure, Nigro has taught a variety of courses, with a strong focus on areas like object-oriented programming, concurrent programming, real-time systems, and multi-agent systems. His academic responsibilities also include serving as a mentor for graduate and doctoral students. He has led several national research projects, including collaborations with organizations such as MURST, CNR, and various European initiatives. In addition to his teaching and research, Nigro has been an active editor and reviewer for several renowned scientific journals and conferences. His extensive career has made him a key figure in the academic community, where he continues to contribute to both education and research.

Awards and Honors

Libero Nigro has received several prestigious recognitions throughout his career for his contributions to computer science and engineering. He was honored as one of the best reviewers by the journal Software and System Modelling (SoSyMo), earning recognition as being among the “Top 1% of SoSyMo Reviewers” for the year 2020. In addition to this recognition, Nigro has served as the scientific responsible for various national research projects funded by significant Italian research initiatives, including MURST and CNR. His work as an editor and reviewer for top-tier journals in simulation and computer engineering has further solidified his reputation. Nigro’s work has been acknowledged not only for its academic depth but also for its practical contributions to the development of concurrent systems, agent-based modeling, and real-time system design. His continuous involvement in high-level research and teaching underscores his esteemed place in the academic and research communities.

Research Focus

Libero Nigro’s research interests primarily focus on the development and application of methods and tools for concurrent, time-dependent, and distributed systems. He has made significant contributions to the specification, analysis, design, and implementation of real-time and simulated systems, often employing advanced techniques such as time-extended Petri nets for distributed simulation of agent-based systems. His work also includes formal modeling and exhaustive verification of concurrent systems, with a particular emphasis on mutual exclusion algorithms and system reliability. Additionally, Nigro has explored power management strategies in smart grids and the use of social relationships in multi-agent systems, such as minority games. He is also active in developing and implementing parallel algorithms for unsupervised clustering, particularly using Java. His research continues to bridge the gap between theoretical advancements and real-world applications, with ongoing work in agent-based cyber-physical systems and Internet of Things (IoT) networks.

Publications:

  • Distraction Osteogenesis: A Comprehensive Review by Babapelumi Adejuyigbe, Mohini Gharpure, Charlotte F. Wahle, Jennifer R. Kallini 📚💉
  • The economic impact of infection and/or nonunion on long-bone shaft fractures: a systematic review by Michael J. Flores, Kelsey E. Brown, Jamieson M. O’Marr, Babapelumi Adejuyigbe, Patricia Rodarte, Francisco Gomez-Alvarado, Kelechi Nwachuku, Mayur Urva, David Shearer 🏥🦴
  • Trends in inpatient orthopedic surgery during the COVID-19 pandemic in Japan: a nationwide data study by Mitsuhiro Nishizawa, Kosei Nagata, Babapelumi Adejuyigbe, Tomohiro Shinozaki, Koji Yamada 🏥📊
  • Does obesity and varying body mass index affect the clinical outcomes and safety of biportal endoscopic lumbar decompression? A comparative cohort study by Thomas E. Olson, Alexander Upfill-Brown, Babapelumi Adejuyigbe, Nitin Bhatia, Yu-Po Lee, Sohaib Hashmi, Hao-Hua Wu, Hansen Bow, Cheol Wung Park, Dong Hwa Heo et al. ⚖️🦵
  • An analysis of data quality and population characteristics of the SIGN online surgical database: A 20 year review by Matthew Roces, Ericka von Kaeppler, Claire Donnelley, Mayur Urva, Abigail Cortez, Kelsey Brown, Michael Flores, Patricia Rodarte, Kian Niknam, Francisco Gomez Alvarado et al. 📊📚
  • Does the use of tranexamic acid intraoperatively reduce postoperative blood loss and complications following biportal endoscopic lumbosacral decompression? by Alexander Upfill-Brown, Thomas Olson, Babapelumi Adejuyigbe, Akash Shah, William Sheppard, Cheol Wung Park, Dong Hwa Heo, Don Young Park 💉🩺
  • Retrospective cohort study analyzing outcomes of the SIGN fin nail in adult femoral fractures using the retrograde approach by Aditya Subramanian, Babapelumi Adejuyigbe, Kian Niknam, Francisco Gomez Alvarado, Saam Morshed, David Shearer 🔩🦵
  • Biportal Endoscopic Approach for Lumbar Degenerative Disease in the Ambulatory Outpatient vs Inpatient Setting: A Comparative Study by Don Young Park, Thomas E. Olson, Alexander Upfill-Brown, Babapelumi Adejuyigbe, Akash A. Shah, William L. Sheppard, Cheol Wung Park, Dong Hwa Heo 📈🏥
  • P156. Delay in surgical fixation of operatively treated thoracolumbar fractures in the elderly associated with minimal increase in short-term complications by Alexander Upfill-Brown, William Sheppard, Thomas Olson, Babapelumi Adejuyigbe, A. Nick Shamie, Don Park 🦴⚖️

Conclusion

Libero Nigro is exceptionally well-qualified for the Best Researcher Award due to his extensive academic experience, leadership in research, significant mentoring role, and broad international recognition. His deep contributions to computer engineering and systems simulation have shaped both the academic landscape and real-world applications. While there is room for improvement in terms of industry engagement and the adoption of newer technological trends, Nigro’s enduring legacy in the field makes him a strong contender for this prestigious award. His research interests are highly relevant to current and future challenges in distributed systems and simulation, making his continued contributions invaluable.

Lin Li | bone and joint | Best Researcher Award

Dr Lin Li | bone and joint | Best Researcher Award

Dr Lin Li , The First Affiliated Hospital of Guangxi Medical University , China

Li Lin is a dedicated student and researcher at the Faculty of Medicine and Health Sciences, Universiti Putra Malaysia. With a solid academic background and diverse research interests, Li has contributed significantly to the fields of nursing and medical science. Currently, Li is involved in advanced research in bone and joint surgery at The First Affiliated Hospital of Guangxi Medical University. Her work is characterized by a strong commitment to improving patient care through innovative approaches and interdisciplinary collaboration. Li’s contributions have been recognized with awards and funding, reflecting her impact and dedication to her field.

Publication profile

Scopus

Strengths for the Award

  1. Academic Foundation: Li Lin has a strong educational background with degrees in nursing and medical sciences from reputable institutions, including Guangxi Medical University and Inner Mongolia Baotou Medical College. This solid foundation supports her advanced research capabilities.
  2. Research Contributions: Li’s research addresses critical areas in medical and nursing practice, such as psychological interventions for liver transplantation donors and the development of AI-based early warning systems for thrombus. These contributions are innovative and address significant gaps in patient care.
  3. Recognition and Awards: Li received the Guangxi Nursing Society Excellent Paper Second Prize in 2022, highlighting her research impact and excellence in the field. This recognition underscores her ability to produce high-quality, influential research.
  4. Project Leadership: Li has demonstrated leadership in securing and managing research funding, notably leading self-funded scientific research projects and the ongoing Nursing Clinical Research Climbing Program. This experience showcases her ability to drive research initiatives effectively.

Areas for Improvement

  1. Publication Impact: While Li has several publications, increasing the number of papers in high-impact journals could further enhance her research profile and visibility in the global research community.
  2. Broader Research Scope: Expanding her research scope to include a wider range of medical and nursing specialties could enhance her contributions and impact across different areas of healthcare.
  3. Collaborative Efforts: Engaging in more interdisciplinary collaborations and international research partnerships could provide new insights and broaden the applicability of her research findings.

Education

Li Lin earned her Bachelor of Science from Inner Mongolia Baotou Medical College (2013-2017), followed by a Master of Nursing from Guangxi Medical University (2017-2020). She is currently pursuing further education at Universiti Putra Malaysia since October 2022. Her academic journey has been marked by a focus on clinical research and healthcare innovation, providing a strong foundation for her ongoing studies and professional work.

Experience

Li Lin has accumulated valuable experience in the healthcare sector through her role in the Bone and Joint Surgery Department at The First Affiliated Hospital of Guangxi Medical University, where she has been working since July 2022. Her previous roles include leading self-funded scientific research projects funded by the Guangxi Zhuang Autonomous Region Health Committee and the Nursing Clinical Research Climbing Program. These experiences have honed her skills in research leadership and clinical practice, contributing to her expertise in nursing and medical research.

Research Focus

Li Lin’s research focuses on improving patient care and outcomes in medical and nursing practices. Her work includes exploring psychosocial aspects of medical procedures, such as liver transplantation, and developing AI-based systems for early thrombus warning. Li’s research is characterized by a commitment to integrating traditional and modern medical approaches, addressing both psychological and physical aspects of patient care, and enhancing clinical practices through innovative solutions.

Publications Top Notes

  1. Li L, Yang L, Dong C, et al. Psychosocial Assessment of Donors in Pediatric Living Donor Liver Transplantation: A Systematic Review. Transplant Proc. 2020.
  2. Li L, Yang L, He H, et al. Development and Application of AI-Based Two-Closed-Loop System for Automatic Early Warning of Thrombus. Nursing of Integrated Traditional Chinese and Western Medicine, 2023.
  3. Li L, Yang L, Dong C, et al. Effects of Psychological Intervention Based on Acceptance and Commitment Therapy on Liver Transplantation Donors and Spouses in Children. Chinese Journal of Organ Transplantation, 2021.
  4. Li L, Yang L, Sun H, et al. Mental Health Status and Influencing Factors of Parents’ Liver Donors and Their Partners During Liver Transplantation in Children. Guangxi Medical Journal, 2021.
  5. Li L, Yang L, Dong C, et al. A Qualitative Study on the Psychological Experience of Child Liver Transplantation Donors. Chinese Journal of Practical Nursing, 2019.
  6. Li L, Yang L. Research Progress on the Application of Fast-Track Surgery in Perioperative Nursing of Breast Cancer Patients. Nursing Research, 2019.

Conclusion

Li Lin exhibits substantial strengths as a researcher, including a solid academic background, impactful research contributions, and leadership in project management. Her achievements and awards reflect her dedication and potential in advancing medical and nursing sciences. Addressing the areas for improvement could further elevate her research profile and make her a strong candidate for the Best Researcher Award. Her continued innovation and dedication promise significant contributions to her field, enhancing patient care and clinical practices.