Pavani Krishnapuram | Nanocomposites | Women Researcher Award

Published on by Nano Technology

Dr. Pavani Krishnapuram | Nanocomposites | Women Researcher Award

Research Investigator (Physics) | University of Aveiro | Portugal

Dr. Pavani Krishnapuram is an accomplished researcher in materials science and optical physics, with a strong focus on rare-earth-activated luminescent materials, inorganic perovskites, glasses, phosphors, nanomaterials, and optoelectronic functional materials. Her research addresses photoluminescence, upconversion and downconversion mechanisms, optical thermometry, spectral converters, fiber-optic sensing, catalysis, and energy-related applications. She has authored 76 scholarly documents in high-impact international journals, conference proceedings, and edited volumes, achieving 1,445 citations, an h-index of 20, and an i10-index of 30, reflecting sustained scientific impact. Her contributions include advanced synthesis strategies, structure–property correlations, and innovation in rare-earth-based nanostructures for sensing, lighting, and energy technologies. Dr. Pavani Krishnapuram has contributed to funded research projects, book chapters, and edited books, and her work has influenced developments in luminescent ceramics, glasses, and nanophotonic materials. She actively contributes to the research community through editorial responsibilities, reviewer services for reputed journals, conference leadership roles, and recognized research awards, underscoring her standing as a respected contributor to contemporary materials and photonics research.

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Featured Publications

Dr. Pengwei Xiao | Nanocomposites Awards | Best Researcher Award

Published on by Nano Technology

Dr. Pengwei Xiao | Nanocomposites Awards | Best Researcher Award

Dr. Pengwei Xiao , MGH/Harvard Medical School , United States

Dr. Pengwei Xiao is a Post-Doctoral Research Fellow at the Department of Orthopaedic Surgery, Massachusetts General Hospital/Harvard Medical School, Harvard University, where he leads cutting-edge research on knee biomechanics and total joint arthroplasty. He holds a Ph.D. in Mechanical Engineering from the University of Texas at San Antonio, where he conducted advanced research on bone biomechanics and fracture risk prediction using AI-assisted modeling techniques. Dr. Xiao also holds an M.Sc. in Engineering Mechanics from Jinan University and a B.Sc. from South China University of Technology. His work integrates computational methods, experimental research, and machine learning to advance orthopaedic surgery and bone health.

Professional Profile:

Orcid

Summary of Suitability for Best Researcher Award: Dr. Pengwei Xiao

Dr. Pengwei Xiao is a highly qualified candidate for the Best Researcher Award, given his extensive experience, innovative research contributions, and leadership in the field of biomechanics and orthopaedic surgery.

🎓Education:

Dr. Pengwei Xiao earned his Ph.D. in Mechanical Engineering from the University of Texas at San Antonio in December 2022. Prior to that, he completed his Master of Science (M.Sc.) in Engineering Mechanics at Jinan University in Guangzhou, China, in June 2010. He also holds a Bachelor of Science (B.Sc.) in Engineering Mechanics from South China University of Technology, Guangzhou, China, which he obtained in June 2008

🏢Work Experience:

Dr. Pengwei Xiao is currently a Post-Doctoral Research Fellow in the Department of Orthopaedic Surgery at Massachusetts General Hospital/Harvard Medical School, where he has been leading research since January 2024 on knee biomechanics, total joint arthroplasty, and integrating machine learning models into clinical workflows. Simultaneously, he serves as a part-time Post-Doctoral Research Fellow at the Mechanics of Biological Materials/Structures Lab at the University of Texas at San Antonio, focusing on methods to predict bone fragility fracture risks and conducting advanced research on bone microstructure. From January to December 2023, Dr. Xiao was a full-time Post-Doctoral Research Fellow at the same lab, where he conducted research on bone nanomechanics, finite element modeling, and AI-assisted predictions of bone fragility fractures. His research journey began as a Research Assistant at the Mechanics of Biological Materials/Structures Lab at UT San Antonio, where, from August 2018 to December 2022, he developed probability-based models and deep learning techniques to assess bone structure-function relationships and fracture risks.

Publication Top Notes:

  • “Socioeconomic Area Deprivation Index is Not Associated with Postoperative Complications Following Revision Total Hip and Knee Joint Arthroplasty”
  • “Characterization of Trabecular Bone Microarchitecture and Mechanical Properties Using Bone Surface Curvature Distributions”
  • “A Novel QCT-Based Deep Transfer Learning Approach for Predicting Stiffness Tensor of Trabecular Bone Cubes”
  • “In-silico Simulation of Nanoindentation on Bone Using a 2D Cohesive Finite Element Model”
  • “Probability-Based Approach for Characterization of Microarchitecture and Its Effect on Elastic Properties of Trabecular Bone”