Dr. Nina Sharp | Healthcare Applications | Best Researcher Award

Dr. Nina Sharp | Healthcare Applications | Best Researcher Award

Doctorate at Arizona State University, United States

Profiles

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Education

  • Ph.D. in Architecture, University of Illinois at Urbana-Champaign (2020)
  • Master of Architecture, University of Illinois at Urbana-Champaign (2016)
  • M.S. in Architectural Engineering, Iran University of Science and Technology (2011)
  • B.S. in Architectural Engineering, Iran University of Science and Technology (2009)

🏛️ Academic Appointments

  • Assistant Professor, The Design School, Arizona State University (2021-present)
  • Research Affiliate, Mayo Clinic, Phoenix, AZ (2023-present)
  • Senior Global Futures Scientist, Julie Ann Wrigley Global Futures Laboratory (2022-present)
  • Assistant Professor, School of Human Ecology, University of Wisconsin, Madison (2020-2021)
  • Adjunct Faculty, Interior Design Department, Maryville University (2018-2019)

🔬 Research Interests

Dr. Sharp’s research intersects architecture, environmental design, and healthcare, focusing on the impact of lighting and thermal environments on cognitive performance, health, and well-being, particularly in older adults and clinical settings. She has secured multiple research grants, including projects funded by the National Institute on Aging and the National Science Foundation.

🏆 Honors and Awards

  • 2023 Best Oral Contribution Award, Healthy Buildings Europe Conference
  • 2023 The Design School Knowledge Enterprise Award
  • 2020 ARCC Dissertation Award
  • Multiple scholarships and fellowships from the Illuminating Engineering Society and University of Illinois.

🛠️ Professional Development

  • 2023 ASU NSF I-Corps Five-Week Training Program
  • 2022 Daylight Awareness Week, Velux
  • 2021 Partnership for Innovation, National Science Foundation

 

Publications

Photophobia is associated with lower sleep quality in individuals with migraine: results from the American Registry for Migraine Research (ARMR)

  • Authors: Nina Sharp, Mark J Burish, Kathleen B Digre, Jessica Ailani, Mahya Fani, Sophia Lamp, Todd J Schwedt
  • Journal: The Journal of Headache and Pain
  • Year: 2024

Exploring Methodological Considerations: A Literature Review on How Lighting Affects the Sleep and Cognition in Healthy Older Adults

  • Authors: Mahya Fani, Nina Sharp
  • Journal: Journal of Daylighting
  • Year: 2024

Lighting up living spaces to improve mood and cognitive performance in older adults

  • Authors: Nastaran Shishegar, Mohamed Boubekri
  • Journal: Journal of Environmental Psychology
  • Year: 2022

An Investigation of Light Spectrum and Intensity on Depression among Older Adults

  • Authors: Mohamed Boubekri, Nina Sharp
  • Journal: Journal ISSN
  • Year: 2023

Tuning environmental lighting improves objective and subjective sleep quality in older adults

  • Authors: Nastaran Shishegar, Mohamed Boubekri, Elizabeth AL Stine-Morrow, Wendy A Rogers
  • Journal: Building and Environment
  • Year: 2021

Dr. Yongkui Ren | Healthcare Applications | International Visionary in Computer Vision Award

Dr. Yongkui Ren | Healthcare Applications | International Visionary in Computer Vision Award

Doctorate at The First Affiliated Hospital of Dalian Medical University, China

Profile

Scopus

📋 Summary

Dr. Yongkui Ren, a distinguished cardiovascular specialist, is currently 38 years old. He serves as the Associate Chief Physician in the Department of Cardiovascular Medicine at The First Affiliated Hospital of Dalian Medical University, Dalian, China.

Education

Dr. Ren obtained his MD from Capital Medical University in Beijing, China. He completed his Master’s and Bachelor’s degrees at China Medical University in Shenyang, China, specializing in cardiovascular research and clinical practice.

🩺 Professional and Teaching Experience

Dr. Ren’s medical career began as a resident doctor in the Department of Cardiovascular Medicine at The First Affiliated Hospital of Dalian Medical University. Over the years, he advanced to Attending Physician and currently holds the position of Associate Chief Physician. His extensive experience in cardiovascular medicine has made him a valuable asset to his department.

🏥 Professional Society Membership

Dr. Ren is an active member of the Hypertension Prevention and Control Professional Committee of the Liaoning Primary Health Association, contributing to advancements in hypertension management and control.

🔬 Research Experience

Dr. Ren’s research journey began during his Master’s degree, focusing on myocardial ischemia-reperfusion injury. He continued his research at The First Affiliated Hospital of Dalian Medical University, where he successfully applied for grants and participated in significant multi-center clinical trials. His recent work during his Ph.D. involves the analysis of medical big data using machine learning methods for cohort analysis and prediction.

🔭 Future Research Directions:

Dr. Ren aims to further investigate the mechanisms behind coronary artery calcification and its progression. He is also interested in identifying markers related to coronary calcification and exploring their mechanisms through basic research. Additionally, he plans to leverage advanced statistical methods, such as R language and machine learning, for data mining and participate in multi-center clinical trials.

 

Publications

Mediating Effect of the NLR on the Relationship between HbA1c and Left Atrial Stiffness in Overweight Patients with Hypertension

  • Authors: Zhang, R., Pan, Y., Ren, Y.K., Liu, Y., Jiang, Y.N.
  • Journal: American Journal of Hypertension
  • Year: 2024

Diagnostic accuracy of a novel optical coherence tomography-based fractional flow reserve algorithm for assessment of coronary stenosis significance

  • Authors: Pan, W., Wei, W., Hu, Y., Leng, X., Yin, D.
  • Journal: Cardiology Journal
  • Year: 2024

Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients

  • Authors: Wang, M., Sun, M., Yu, Y., Ren, Y., Yin, D.
  • Journal: BMC Medical Informatics and Decision Making
  • Year: 2023

Triglyceride glucose index is associated with obstructive coronary artery disease in hypertensive patients

  • Authors: Pan, W., Ren, Y., Yang, F., Li, X., Yin, D.
  • Journal: Cardiovascular Diabetology
  • Year: 2023

Association of triglyceride glucose index levels ​​with calcification patterns and vulnerability of plaques: an intravascular ultrasound study

  • Authors: Yin, D., Wang, M., Liu, X., Ren, Y., Liu, J.
  • Journal: International Journal of Cardiovascular Imaging
  • Year: 2023

Prof. Fahad Alzahrani | Biomedical | Best Researcher Award

Prof. Fahad Alzahrani | Biomedical | Best Researcher Award

Fahad Alzahrani at Umm Al-Qura University, Saudi Arabia

Profiles

Scopus

Orcid

Google Scholar

Education:

Dr. AL-Zahrani holds a Ph.D. in Optical Communication and Networking from Colorado State University, Fort Collins, CO, USA (2001-2005). He earned his Master of Science in Engineering Management (2000-2001) and Computer Engineering (1998-2000) from Florida Institute of Technology, Melbourne, FL, USA. He completed his B.Sc. in Electrical and Computer Engineering at Umm Al-Qura University, Saudi Arabia (1991-1995).

🏢 Professional Experience:

Dr. Fahad A. AL-Zahrani has extensive experience in academia and consultancy. Since 2011, he has served as an Associate Professor at Umm Al-Qura University. Additionally, he has been an IT Consultant for the Kafalah Program and the e-Government Program (Yesser) since 2019. Dr. AL-Zahrani also served as the Rector's consultant at Princess Norah bint Abdulrahman University from 2015 to 2017. His previous roles include Dean of Information Technology at Umm Al-Qura University (2010-2015), Director of Projects and Maintenance at Al-Baha University (2007-2009), and General Director of the Information Technology Center (2007-2010) at Al-Baha University. He has also been a member of the Financial and Housing Committees and held the position of Dean and Vice Dean of the College of Engineering at Al-Baha University. Earlier in his career, he worked as an Assistant Professor at Umm Al-Qura University (2005-2011), Teaching Assistant at the same university (1997-1998), Programmer at Taif Municipality (1995-1997), and Computer Engineer at Saudi Power Company in Makkah (1995-1996).

🏆 Awards and Recognition:

Dr. AL-Zahrani was recognized as the Outstanding Graduate Student for the year 1999-2000 at Florida Institute of Technology.

💼 Management Skills:

Dr. AL-Zahrani is proficient in leadership, people management, motivating employees, accuracy and attention to detail, teamwork, communication, coordination, and analysis. He is also adept at working under stress.

💻 Technical Skills:

Dr. AL-Zahrani has mastered various computer languages, including Visual Basic, Pascal, Fortran, C++, TCL, and Java. He is skilled in applications such as Microsoft Office, Microsoft Front Page, Circuit Maker, Electronic Workbench, Matlab, and Maple. He is experienced with operating systems like Windows, Unix, and Linux. Additionally, he has expertise in designing computer interfaces and computer hardware.

 Publications:

AMP-RNNpro: a two-stage approach for identification of antimicrobials using probabilistic features
  • Authors: Shaon, M.S.H., Karim, T., Sultan, M.F., Bui, F.M., Al-Zahrani, F.A.
  • Journal: Scientific Reports
  • Year: 2024
Design of encoded graphene-gold metasurface-based circular ring and square sensors for brain tumor detection and optimization using XGBoost algorithm
  • Authors: Patel, S.K., Wekalao, J., Mandela, N., Al-Zahrani, F.A.
  • Journal: Diamond and Related Materials
  • Year: 2024
Thermally-stable solar energy absorber structure with machine learning optimization
  • Authors: Surve, J., Jadeja, R., Patel, S.K., Ahmed Al-Zahrani, F.
  • Journal: Applied Thermal Engineering
  • Year: 2024
Multi analyte detection based on D-shaped PCF sensor for glucose concentrations sensing
  • Authors: Tuaimah, A.M., Tahhan, S.R., Taher, H.J., Ahmed, K., Al-Zahrani, F.A.
  • Journal: Optical and Quantum Electronics
  • Year: 2024
Joint resource optimization and flexible QoS provision using hybrid optical core node architecture
  • Authors: Khlifi, Y., Al-Zahrani, F.A.
  • Journal: Heliyon
  • Year: 2024