Jeffrey Velotta | Medicine | Best Researcher Award

Dr. Jeffrey Velotta | Medicine | Best Researcher Award

Thoracic Surgeon | Kaiser Permanente Northern California | United States

Dr. Jeffrey Velotta, MD, FACS, is a highly accomplished thoracic surgeon and academic leader recognized for his contributions in lung cancer, mesothelioma, and thoracic surgical innovation. He serves as Associate Thoracic Surgeon at Kaiser Permanente Oakland Medical Center, where he directs the Northern California Mesothelioma Program. In parallel, he is Clinical Professor at Kaiser Permanente Bernard J. Tyson School of Medicine, Assistant Professor of Surgery at UCSF, and Global Faculty Member at Stanford University’s Center for Asian Health Research and Education. Dr. Velotta has earned recognition for his outstanding mentorship, teaching, and clinical care, while maintaining a strong presence in research addressing lung cancer disparities in Asian American populations. His leadership extends into numerous national committees, editorial boards, and professional societies, shaping policy and advancing education in thoracic surgery. His career integrates patient-centered care, surgical excellence, mentorship, and innovative research that collectively advance thoracic oncology and health equity.

Profile

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Education

Dr. Jeffrey Velotta completed his undergraduate studies at the University of California, Santa Barbara, earning a Bachelor of Science degree in Physiology with honors. He pursued medical education at The George Washington University School of Medicine, graduating with distinction and election to the Alpha Omega Alpha Honor Society. His post-graduate surgical training included internship and residency in General Surgery at UCLA David Geffen School of Medicine, where he served as Chief Resident and received recognition for teaching excellence. He subsequently completed a postdoctoral research fellowship in Cardiothoracic Surgery at Stanford University School of Medicine under Dr. Robert C. Robbins. His advanced surgical training culminated with a residency and chief residency in Thoracic Surgery at Harvard Medical School’s Brigham and Women’s Hospital. This educational foundation, spanning leading institutions in California and Massachusetts, provided him with comprehensive expertise in general, cardiothoracic, and thoracic surgery, research methodology, and leadership in academic medicine.

Professional Experience

Dr. Jeffrey Velotta has established a distinguished career blending clinical practice, academic medicine, mentorship, and research. At Kaiser Permanente Oakland Medical Center, he serves as Associate Thoracic Surgeon and directs the Northern California Mesothelioma Program, leading multidisciplinary approaches for complex thoracic cancers. He is Clinical Professor at the Kaiser Permanente Bernard J. Tyson School of Medicine and Assistant Professor of Surgery at UCSF, where he actively teaches, mentors, and guides future surgeons. At Stanford University’s Center for Asian Health Research and Education, he contributes as Global Faculty, advancing population-based studies. His experience includes leadership roles in medical education, admissions committees, and national thoracic societies. He has mentored dozens of medical students, residents, fellows, and junior faculty, many of whom have progressed to prominent academic and clinical roles. His work spans surgery, mentorship, and health equity research, demonstrating his commitment to advancing thoracic oncology while training the next generation of physician leaders.

Awards and Honors

Dr. Jeffrey Velotta has received numerous awards recognizing excellence in surgery, mentorship, teaching, and research. His accolades include election as Fellow of the American College of Surgeons, induction into the American Association of Thoracic Surgeons, and honors from the Society of Asian Academic Surgeons. He has earned multiple UCSF Academy of Medical Educators awards for teaching and mentorship, as well as faculty teacher of the year recognition from UCSF-East Bay. Nationally, he has been awarded by the Society of Thoracic Surgeons, American College of Surgeons, and professional groups for leadership and contributions to clinical practice. His recognition extends to Castle Connolly Top Doctor designations, Reviewer of the Year awards for thoracic journals, and leadership development awards. Early in his career, he received young investigator and surgical excellence awards at Harvard and UCLA. These honors highlight his sustained contributions across clinical care, medical education, surgical innovation, and advancing health equity.

Research Focus

Dr. Jeffrey Velotta research focuses on lung cancer, mesothelioma, and thoracic surgical innovation, with a special emphasis on cancer disparities in Asian American populations. He has led multiple funded projects investigating lung cancer risk among Asian female non-smokers, equitable biomarker testing, outcomes of robotic and minimally invasive thoracic surgery, and strategies to improve access to lung cancer screening. His studies also explore guideline-concordant care, patient outcomes across diverse health systems, and innovative treatments such as cryoablation in mesothelioma surgery. At Stanford CARE, he advances Asian American health research, integrating clinical data with population-level insights. His collaborative work spans industry-funded trials, community health grants, and national cancer consortiums. As an editorial board member and peer reviewer for leading thoracic journals, he contributes to shaping academic discourse in his field. His research program embodies a blend of clinical practice, population health, and translational science aimed at reducing disparities and improving thoracic oncology care.

Publication

Chest Wall Reconstruction Using Biologic Mesh to Cover Soft Tissue Defects: A Narrative Review
Year: 2025

The Impact of Preoperative Invasive Nodal Staging on Unexpected Mediastinal Upstaging in Early-Stage Non-small Cell Lung Cancer
Year: 2025

Time to surgery in early-stage non–small cell lung cancer: Defining the optimal diagnosis-to-resection interval to reduce mortality
Year: 2025

Racial/Ethnic Disparities in Lung Cancer Surgery Outcomes in the USA
Year: 2025

Elevated risk of lung cancer among Asian American women who have never smoked: an emerging cancer disparity
Year: 2025

Conclusion

Dr. Jeffrey Velotta is highly suitable for recognition through this research award. His career embodies the integration of clinical excellence, impactful research, and dedicated mentorship. His contributions to advancing thoracic oncology, particularly in addressing disparities among Asian American populations, represent both innovation and social responsibility. With a strong track record of funded research, academic leadership, and peer recognition, he stands out as a leader whose work continues to shape the future of thoracic surgery and cancer care. His trajectory demonstrates both current excellence and potential for continued advancement, making him an exemplary candidate for this distinction.

 

Lila Wayman | Medical Sciences | Best Researcher Award

Ms. Lila Wayman | Medical Sciences | Best Researcher Award

The University of Arizona, United States

Lila Ty Wayman is an undergraduate researcher at the University of Arizona, pursuing a Bachelor of Science in Physiology and Medical Sciences. With a strong interdisciplinary background in healthcare, biomechanics, and public safety, she has contributed to impactful research on fall risk, slip resistance, and infant injury biomechanics. She currently serves as a Research Associate Intern at Verum Biomechanics LLC, supporting forensic analysis and expert testimony preparation.

Profile:

📊 Research Experience:

  • Research Associate Intern at Verum Biomechanics LLC

  • Undergraduate Research Assistant at SensorLab, University of Arizona

  • Contributor to studies on slip resistance, infant handling forces, and forensic injury analysis

  • Poster presenter & session judge at key academic forums (MEZCOPH, Physiology Poster Session)

📝 Publications (Selected):

  1. High G-Forces in Improper Infant Handling – Forensic Sci (2025)

  2. Dry Particle Thickness & Slip Resistance – J Forensic Sci (2025)

  3. Sand Additives Impact on Floor Safety – EngRxiv (2025)
    [All publications available via DOI links]

🏆 Honors & Leadership:

  • 🥇 President’s Honor List – Glendale Community College

  • 🏅 Blue Chip Leadership Award – University of Arizona

  • 🎓 Member, Phi Theta Kappa Honor Society

  • 📚 Preceptorships in Biology and Physiology

🌍 Impact Focus:

Lila’s applied research contributes to public health, legal safety standards, and forensic science, aiming to prevent accidents and promote evidence-based injury assessment in courts and communities.

Publication Top Notes:

  1. High G-Forces in Unintentionally Improper Infant Handling: Implications for Shaken Baby Syndrome Diagnosis
    📅 Published: June 2025
    🧪 Journal: Forensic Sciences
    🔗 DOI: 10.3390/forensicsci5020027
    👥 Contributors: Jonathan Lee-Confer, Lila Wayman, Kathryn L. Havens

  2. Standardized Measurement of Surface Dry Particle Thickness for Walkway Slip Resistance
    📅 Published: May 19, 2025
    🧪 Journal: Journal of Forensic Sciences
    🔗 DOI: 10.1111/1556-4029.70087
    👥 Contributors: Jonathan Lee‐Confer, Lila Wayman, David Collette

  3. Standardized Measurement of Surface Dry Particle Thickness for Walkway Slip Resistance (Preprint)
    📅 Posted: February 24, 2025
    🔗 DOI: 10.31224/4398
    👥 Contributors: Jonathan Lee-Confer, Lila Wayman, David Collette

  4. The Influence of Sand Additives on Slip Resistance of Wood (Preprint)
    📅 Posted: February 4, 2025
    🔗 DOI: 10.31224/4339
    👥 Contributors: Jonathan Lee-Confer, Lila Wayman, Kristen Renner

  5. High G-Forces in Unintentionally Improper Infant Handling: Implications for Shaken Baby Syndrome Diagnosis (Preprint)
    📅 Posted: November 3, 2024
    🔗 DOI: 10.1101/2024.10.31.621215
    👥 Contributors: Jonathan Lee-Confer, Lila T. Wayman, Kathryn Havens

 

Yuchun Wei | Medicine and Health Sciences | Best Researcher Award

Assoc. Prof. Dr. Yuchun Wei | Medicine and Health Sciences | Best Researcher Award

Shandong Cancer Hospital China

Dr. Yuchun Wei is a leading Chinese physician-scientist in the field of oncology and nuclear medicine, currently working at the Shandong Cancer Hospital in Jinan, China. Born on November 22, 1987, she has contributed significantly to developing innovative imaging techniques for cancer diagnosis, staging, and individualized treatment planning. With deep expertise in PET/CT imaging biomarkers, she is committed to advancing precision oncology. 📡🧬

Profile

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🎓 Education

Dr. Wei pursued her academic journey with a strong foundation in both Western and traditional Chinese medicine:

  • Ph.D. in Oncology from Shandong University (2018–2022), mentored by Academician Jinming Yu 🎓
  • Master’s in Oncology from Jinan University (2013–2016), under Prof. Shuanghu Yuan 🔬
  • Bachelor’s in Traditional Chinese and Western Clinical Medicine from Shandong University of Traditional Chinese Medicine (2007–2012) 🌿

💼 Professional Experience

Dr. Wei currently serves as a radiotherapy physician at Shandong Cancer Hospital (2017–present). She has also held several administrative and research leadership roles:

  • Deputy Director, MDT Quality Management Office (2021–2022)
  • Assistant Director, Radioimmunity and Molecular Imaging Room (2020–2021)
    Her clinical expertise is complemented by her operational leadership in multidisciplinary cancer care. 🏥⚕️

🔬 Research Interests

Her research revolves around novel imaging techniques, especially FAPI-based PET/CT imaging, with a focus on early detection, prognosis prediction, and therapy monitoring for cancers such as lung, esophageal, and cervical. Her goal is to refine personalized cancer treatment through quantitative imaging biomarkers. 🔍📊

🏆 Awards & Honors

Dr. Wei has been nominated for multiple research and innovation awards in recognition of her work in molecular imaging and radiation oncology. Her studies have earned significant visibility in top-tier journals (JCR Q1), and she is regarded as a rising star in clinical translational imaging. 🌟

📚 Publications Top Notes: 

Dr. Wei has authored and co-authored over 17 high-impact peer-reviewed papers, most of which appear in JCR Q1 journals. Here are her key publications with direct links and citation highlights:

FAPI Compared with FDG PET/CT for Lung Cancer Diagnosis
Radiology, 2023, IF: 19.7 | Cited by: 33

18F-FAPI PET/CT in Esophageal SCC Response Prediction
J Nucl Med, 2024, IF: 9.1 | Cited by: 12

Early Detection of Radiation-Induced Myocardial Damage
Eur J Nucl Med Mol Imaging, 2023, IF: 10.057 | Cited by: 40

18F-FAPI PET/CT Response in Chemoradiotherapy for ESCC
J Nucl Med, 2023, IF: 11.082 | Cited by: 25

Biodistribution and Targeting of 18F-FAPI-04
Eur J Nucl Med Mol Imaging, 2022, IF: 10.057 | Cited by: 37

Differentiating Lung Cancer Types via PET/CT
Eur J Nucl Med Mol Imaging, 2022, IF: 10.057 | Cited by: 31

Baseline Angiogenesis in NSCLC Prognosis
J Transl Med, 2022, IF: 8.44 | Cited by: 19

Differentiating Inflammatory Lung Lesions with FAPI
Eur Radiol, 2023, IF: 5.9 | Cited by: 10

Comparison Study in Mouse Model using PET Imaging
Sci Rep, 2016, IF: 5.228 | Cited by: 50

Radiation-Induced Lung Damage Model in Rats
Front Oncol, 2022, IF: 5.738 | Cited by: 14

Zainab El Arbi | Medicine and Health Sciences | Women Researcher Award

Mrs. Zainab El Arbi | Medicine and Health Sciences | Women Researcher Award

enseignante ISSEP-KS (Higher Institute of Sport and Physical Education of Ksar Saïd) Tunisia

Zaineb El Arbi is a dedicated Teacher and Researcher at the “Higher Institute of Sport and Physical Education of Ksar Said, Manouba University”, Tunisia, with a strong commitment to child motor development and adapted physical education. Beginning her career as a swimming coach and a teacher for deaf children, she has spent over a decade observing and addressing motor and behavioral challenges in young children. Her passion lies in shaping inclusive and intervention-based physical activity programs for preschoolers, especially those with special needs like deafness and autism.

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🎓 Education

Zaineb’s academic journey is rooted in the Sciences and Technics of Physical Activities and Sport, where she developed expertise in early childhood motor development and adaptive physical education. Her research is also deeply connected to her ongoing thesis, emphasizing practical, community-driven solutions for children’s physical well-being in Tunisia.

💼 Experience

Zaineb started her career as a swimming coach and an adapted physical education teacher at a special school for deaf children. Over the years, her hands-on work with children displaying motor and behavioral difficulties inspired her research into early intervention. Currently, she serves as a teacher and researcher at her institution, combining practical experience with scientific inquiry to support inclusive education in early childhood.

🔬 Research Interests

Zaineb’s primary research interests include motor development, motor impairments, and disabilities in preschoolers. Her work focuses on early detection and intervention strategies for Tunisian children, particularly those facing developmental challenges due to deafness or autism. She collaborates with specialized labs like Pearson Laboratory, using tools like the MABC-2 battery to assess motor competence in young children.

🏆 Awards

Zaineb is applying for the Prix de la femme chercheuse (Women Researcher Award) in recognition of her impactful work in child motor development. Her mission to improve early childhood education and public health through physical activity programs stands as a meaningful contribution to Tunisian society.

📚 Publications Top Notes: 

Zaineb recently published an article in the SpringerNature journal, Sport Sciences for Health, titled:
“Assessment of motor competence in Tunisian preschoolers using MABC-2 battery”
📖 Read Publication (2025)
📰 Journal: Sport Sciences for Health
🔗 Cited by: ResearchGate Article

Yashbir Singh | Medicine and Health Sciences | Best Researcher Award

Dr. Yashbir Singh | Medicine and Health Sciences | Best Researcher Award

Assistant Prof Mayo clinic, Rochester United States

Yashbir Singh is an Assistant Professor in Radiology with extensive experience in biomedical engineering and computational deep learning methods for medical imaging analysis. His research focuses on AI-driven approaches for early cancer detection, particularly in liver cancer, and has made substantial contributions to the integration of topological data analysis with deep learning. With a background in pharmaceutics, bioinformatics, and biomedical engineering, Yashbir brings a unique interdisciplinary perspective to medical imaging. His work is instrumental in advancing AI methodologies for clinical applications and patient-specific risk assessments in liver diseases. 🌐💡

Profile

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Education

Yashbir Singh completed his Bachelor’s in Pharmaceutics and Drug Design from M.J.P. Rohilkhand University, Bareilly, India, followed by a Master’s in Bioinformatics from the Indian Institute of Information Technology, Allahabad. He then earned his PhD in Biomedical Engineering from Chung Yuan Christian University, Taiwan. After completing his postdoctoral work in AI Radiology at Mayo Clinic, he continued his research at the same institution as a Postdoctoral Fellow in AI Radiology. 🎓🔬

Experience

Yashbir Singh has held various prestigious positions, including visiting faculty at Harvard Medical School and a medical scientist at WVU Medicine, West Virginia. He has also been a junior research fellow at IIT Mandi, India, and a teaching assistant at IIIT Allahabad, India, and Chung Yuan Christian University, Taiwan. His diverse experiences across academia and clinical environments have significantly shaped his research in medical imaging and AI. 🌍👨‍⚕️

Research Interest

Dr. Singh’s research interests lie in the intersection of artificial intelligence, medical imaging, and oncology. He has pioneered the use of algebraic topology-based machine learning for predicting clinical outcomes, specifically in liver diseases like primary sclerosing cholangitis. His current work focuses on developing deep learning frameworks for early cancer detection, integrating machine learning with topological data analysis, and improving patient-specific diagnostic tools. 🔍💻🧬

Award

Yashbir Singh has received several prestigious awards, including the 2024 Research Award from RSNA and Best Paper Presenter at IEEE CCWC 2022. His work has been recognized for its innovation in AI-driven medical imaging and clinical applications. In addition, he has received Best Reviewer Awards from ICSPIS and the 2020 Medical Imaging Best Paper Award from SPIE. These accolades highlight his leadership in the field of AI-based medical research. 🏆📜

Publication Top Notes:

Yashbir Singh has contributed to over 20 high-impact publications. Some notable works include:

Decoding ChatGPT: a taxonomy of existing research, current challenges, and possible future directions

Mitigating bias in radiology machine learning: 1. Data handling

Mitigating bias in radiology machine learning: 2. Model development

The future of gpt: A taxonomy of existing chatgpt research, current challenges, and possible future directions

A low-cost texture-based pipeline for predicting myocardial tissue remodeling and fibrosis using cardiac ultrasound

Identification of Novel Abiotic Stress Proteins in Triticum aestivum Through Functional Annotation of Hypothetical Proteins

Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis

His work is highly cited, demonstrating a significant impact on the field of AI and medical imaging, especially in the context of liver disease. 📖📈