Eric Scott Elder is an Adjunct Associate Professor at Georgia Institute of Technology. His research focuses on adaptive radiation therapy techniques, including patient positioning, anatomy changes, tumor response monitoring, and radiation dosimetry. He employs 3D/4D computed tomography, cone beam CT, respiratory-gated fluoroscopy, and electronic portal dosimetry in his work. Ph.D., Georgia Institute of Technology, Atlanta (1997) Key research areas include visualization methods for anatomical changes, treatment adaptation planning, and exit dose measurement. He holds Diplomate status from the American Board of Radiology (Therapeutic Radiologic Physics, 1997). Member, American Association of Physicists in Medicine Member, American Society of Therapeutic Radiation Oncology No grants, advising records, or laboratory affiliations are explicitly detailed in the provided information.
Aladdin Al-Ardah is an Associate Professor in the Department of Restorative Dentistry at the School of Dentistry, Loma Linda University. He holds an MS and BDS from Loma Linda University, with academic qualifications completed in 1998, 2004, and 2009. His primary academic and clinical focus lies in implant and restorative dentistry, with extensive research contributions in prosthetic outcomes, surgical techniques, and digital applications in oral rehabilitation. MS, Loma Linda University (2009) FP CERT, Loma Linda University (2004) BDS (1998) Dr. Al-Ardah’s research interests center on implant dentistry , prosthetic rehabilitation , bone grafting techniques , and digital workflow integration . His work emphasizes clinical precision, long-term functional outcomes, and esthetic integration. He has published extensively on topics such as sinus augmentation, titanium mesh use, implant positioning, and angled screw channel systems. His methodological approaches include in vitro studies, case series, systematic reviews, and technical innovations leveraging 3D printing and virtual planning. The trend in his recent publications (2018–2025) shows a strong emphasis on digital dentistry and guided surgical techniques , including dynamic navigation and 3D-printed guides. His research spans biomechanical testing, clinical decision-making based on scientific evidence, and innovative solutions to surgical complications such as membrane perforation and mesh exposure. The interdisciplinary nature of his work connects oral surgery, prosthodontics, and radiology, particularly through the use of cone beam computed tomography. Although no formal scientific awards are listed in the provided texts, his consistent publication record in peer-reviewed, high-impact dental journals reflects scholarly recognition and active academic engagement. Dr. Al-Ardah teaches Advanced Implant Dentistry and has presented at academic symposia on topics such as maxillary lateral incisor restoration, implant design evolution, and sinus grafting techniques for allied staff. While specific grant funding is not mentioned, his collaborative research with senior faculty suggests involvement in institutionally supported projects. He has co-authored multiple studies with leading figures in implant dentistry, indicating a well-integrated research network. His work involves collaboration with multidisciplinary teams, particularly in surgical-prosthetic planning and digital fabrication. While no dedicated lab is explicitly named, his use of virtual modeling and 3D printing indicates engagement with advanced dental technology units or research labs focused on digital innovation in implantology.
University of Illinois Urbana-ChampaignUnited States
Seonyeong Park is a Research Assistant Professor in the Department of Bioengineering at the University of Illinois Urbana-Champaign (UIUC), holding this position since January 2024. Previously, they served as a Research Scientist (2023–2024), Postdoctoral Research Associate (2019–2023), and held postdoctoral roles at Washington University in St. Louis (2017–2019). Education: PhD in Electrical and Computer Engineering from Virginia Commonwealth University (2017), M.S. and B.S. in Information and Communications Engineering from Pukyong National University (2013 and 2011, respectively). Research Focus: Specializes in biomedical imaging, particularly learning-based image reconstruction, computational modeling of biological tissues, and photoacoustic computed tomography. Key interests include optimizing optical fluence distribution in breast imaging, developing stochastic numerical phantoms for computational studies, and addressing clinical challenges in transcranial imaging. Key Contributions: Over 15 peer-reviewed publications in top journals/conferences like Photoacoustics , Journal of Biomedical Optics , and SPIE conferences. Notable work includes: Benchmarking deep learning approaches for photoacoustic reconstruction Developing numerical phantoms for breast cancer imaging Aberration correction methods in transcranial imaging Awards: 2022 Innovator Award (AWIS-CAC) Seno Medical Best Paper Award (2022) Professional Activities: Member of SPIE and Association for Women in Science. Active in invited lectures on optoacoustic tomography and imaging trials.
Fatma Terzioglu is an Assistant Professor in the Department of Mathematics at North Carolina State University (NC State), part of the College of Sciences. Previously, she was a W. H. Kruskal Instructor at the University of Chicago, working with Guillaume Bal. She earned her Ph.D. in Mathematics from Texas A&M University in 2018 under the supervision of Peter Kuchment. Her research focuses on analytic and computational methods for inverse problems in imaging sciences, including medical, industrial, and homeland security applications, alongside applied harmonic analysis. Education: Ph.D. in Mathematics, Texas A&M University, 2018 Research Interests: Terzioglu’s work centers on developing algorithms for inverse problems in imaging, particularly in computed tomography (CT) and Compton camera imaging. She explores uniqueness criteria, reconstruction techniques, and integral transforms like the Radon and cone transforms. Her research integrates numerical analysis, partial differential equations, and control/optimization principles. Grants and Funding: Her current research is supported by NSF DMS 2206279, focusing on advancing computational methods for medical and industrial imaging challenges. She collaborates with interdisciplinary teams to apply mathematical theories to real-world imaging problems. Labs/Teams: She contributes to NC State’s research groups in Control, Optimization and Modeling; Numerical Analysis and Scientific Computing; and Ordinary Differential Equations, Partial Differential Equations, and Analysis.
Nancy Young serves as Dean and Associate Professor in the Department of General Dentistry at Augusta University's Dental College of Georgia, with a secondary appointment in the Department of Academic Administration. Her institutional roles include membership on the DCG Student Affairs Committee, Student Academic Review Committee, and Dental Associates Board since 2018. Her educational background includes: MED in Educational Psychology from the University of Georgia (2018) DMD in Dentistry from the Medical College of Georgia (2006) BS in Health and Physical Education from East Tennessee State University (1998) Dr. Young's research integrates clinical dentistry with educational innovation, focusing on practical applications in dental materials, periodontal imaging, migraine care integration, and restorative techniques. Her work addresses critical gaps in dental practice management and educational methodologies, particularly through simulation-based student assessment. Analysis of her 2015-2018 publications reveals a strategic focus on enhancing clinical precision through advanced imaging and materials science while expanding dental practice scope to include neurological pain management. Her educational research emphasizes technology-driven assessment tools that improve competency evaluation in preclinical training. Major recognitions include: International College of Dentists Outstanding Faculty Member (2017) DCG Outstanding Faculty Member Award (2017) Certificate of Achievement in Leadership Development (Augusta University, 2017) DCG ASDA Advocate Award (2017) MVP Faculty Award from Student Affairs Committee (2017) She actively mentors through teaching GDPD 5303 and 5404 Professional Development courses while serving on university-wide committees including Cultivate Student Learning Think Tank and University Student Affairs. Her service extends to professional organizations like CRDTS and community engagement with Augusta Rowing Club.
Giovanni M. Lasio, PhD is an Associate Professor in the Department of Radiation Oncology at the University of Maryland School of Medicine. He also serves as the Radiation Safety Officer for the department. His research focuses on imaging in radiotherapy and dosimetry for radiobiological experiments. Education: Laurea in Physics from University of Torino, PhD in Physics and Astronomy from University of California at Irvine, postdoctoral training at Virginia Commonwealth University. Dr. Lasio's work bridges medical imaging and radiation physics , with core contributions to CT image quality improvement and accurate dosimetry in both clinical and research settings. His research emphasizes collaboration between physicists and biologists for precision radiation applications. Recent publications highlight trends in Cone Beam CT optimization , image-guided lung therapy , deep learning for fibrosis segmentation , and small animal dosimetry . These works span Medical Physics , Radiation Oncology , and Biomedical Imaging disciplines. Dr. Lasio collaborates extensively in radiation biology teams and clinical research groups at University of Maryland Upper Chesapeake Medical Center, with ongoing projects in dose accuracy and image-guided protocols . He has contributed to multi-center dosimetry standardization efforts through publications and technical reviews.
The University of Oklahoma Health Sciences CenterUnited States
Farah Masood serves as Professor and Chair of the Department of Diagnostic & Preventive Sciences at the University of Oklahoma College of Dentistry, concurrently leading the oral diagnosis and radiology division and directing all oral radiology courses for dental and dental hygiene students. A board-certified oral and maxillofacial radiologist, she provides specialized CBCT radiographic interpretation services while mentoring dental and postgraduate students in research. Her educational qualifications include: B.D.S., de'Montmorency College of Dentistry, Lahore, Pakistan D.D.S., University of Oklahoma College of Dentistry, Oklahoma City, OK M.S. in Oral Biology, University of Missouri-Kansas City, School of Dentistry, Kansas City, MO Residency Certificate in Graduate Diagnostic Sciences and Oral and Maxillofacial Radiology, University of Missouri-Kansas City, School of Dentistry, Kansas City, MO General Practice Residency, Truman Medical Center, Lee Summit, MO General Practice Residency, Punjab Dental Hospital, Lahore, Pakistan Dr. Masood's research focuses on advanced diagnostic imaging techniques, particularly Cone Beam Computed Tomography (CBCT), within oral and maxillofacial radiology. Her work bridges clinical practice and preventive dentistry, emphasizing the integration of radiological diagnostics into comprehensive dental care frameworks and educational curricula. Her exceptional contributions have earned significant recognition: 2023 University Distinguished Teaching Award, University of Oklahoma Health Sciences Center 2020 Regents Award for Superior Teaching, University of Oklahoma Health Sciences Center 2021 Outstanding Full-time Faculty DH classed 2021 2021 Outstanding Full-time Faculty DH classed 2022 2015 Outstanding Full-time Faculty DS classed 2019 2015, American College of Dentists, Fellow 2002 Diplomate, American Board of Oral and Maxillofacial Radiology As an educator, Dr. Masood mentors dental and postgraduate students while serving on influential local and national committees. Her leadership extends through active membership in the American Academy of Oral and Maxillofacial Radiology, American Dental Association, Oklahoma Dental Association, and Omicron Kappa Upsilon National Dental Honor Society, driving advancements in dental education standards and professional practice. Leading the Department of Diagnostic & Preventive Sciences and oral diagnosis division, she oversees faculty and staff dedicated to excellence in dental diagnostics, radiology education, and patient-centered preventive care initiatives.
Hong Zhang, M.D., Ph.D., is a Professor in the Department of Radiation Oncology at the University of Rochester School of Medicine and Dentistry. She specializes in advanced radiation therapy techniques for prostate, breast, and head/neck cancers, with a focus on personalized treatment and compassionate patient care. Her work bridges clinical practice and translational research. Education: M.D. and Ph.D. from Yale University School of Medicine and Case Western Reserve University School of Medicine Residency: Radiation Oncology at University of Rochester Medical Center Certifications: American Board of Radiology Her research explores radiation-induced toxicity reduction, biomarker analysis, and oligometastatic disease management. She leads clinical trials integrating advanced imaging and pharmacological agents like lisinopril into prostate cancer radiotherapy, while investigating long-term outcomes for cancers treated with stereotactic techniques. Hong Zhang's publications highlight innovations in radiation dose optimization, rectal spacers, and stereotactic radiotherapy for oligometastatic cancers. These works span prostate, breast, and lung metastasis research, with a recurring emphasis on patient-centered outcomes and technological advancements. Exceptional Women in Medicine (2024, 2023) Health Care Achievement Awards--Health Care Innovation (2017) Educator of the Year (2016, 2012) ASTRO Travel Grant (2005) Clyde Swift Award for Outstanding Medical Student (2000) As lead researcher on multiple clinical trials, she investigates radiation dose optimization for prostate cancer and hormonal therapy integration for oligometastatic disease. Her 451 patient ratings (5/5 stars) underscore her commitment to thorough, patient-centered care and clear communication of complex treatment options.
James Geist is a Professor at the School of Dentistry at University of Detroit Mercy , where he has served since 1986. His expertise spans Radiology , General Pathology , and Oral Pathology . He directs the Oral and Maxillofacial Imaging Center and has held leadership roles including past president of the American Academy of Oral and Maxillofacial Radiology and the American Board of Oral and Maxillofacial Radiology. Education: D.D.S., University of Illinois M.S., Indiana University B.A., Northwestern University His research focuses on diagnostic imaging systems , educational methodology in radiology and pathology , and coordinated oral healthcare for medically complex patients . He has published over 40 peer-reviewed articles and presented internationally across North America, Europe, and Asia. The 11 recent articles in his bibliography highlight trends in maxillofacial radiology (cone beam CT), oral oncology (squamous cell carcinoma), medical-dental collaboration (infective endocarditis guidelines), and pathology education (diagnostic case studies). His work bridges clinical practice with academic innovation . Scientific Awards Outstanding Didactic or Clinical Faculty Member Award (19 times) He has collaborated extensively with colleagues like Gordon, Hirschman, and Lin, and co-authored research with his spouse, Shin-Mey Rose Yin Geist. His contributions include editorial leadership as Section Editor for the journal Oral Surgery Oral Medicine Oral Pathology Oral Radiology.
Chet Ford, Ph.D., serves as Clinical Associate Professor in the Department of Radiation Oncology at the University of Miami, where he integrates clinical medical physics practice with translational research in MRI-guided radiation therapy. Board-certified by the American Board of Radiology in Therapeutic Radiological Physics, his expertise bridges nuclear magnetic resonance physics, clinical oncology, and medical imaging innovation. His educational foundation includes: PhD in Physics, University of Connecticut (1988) MS in Physics, University of Connecticut (1983) BS in Physics, Virginia Commonwealth University (1981) MBA, Drexel University (2003) Postdoctoral training at the University of Pennsylvania (1990) and Virginia Commonwealth University (2010) established his specialization in MRI physics and clinical radiation oncology. His research pioneers the application of quantitative MRI to model tumor physiology and predict radiation response, leveraging daily imaging from hybrid MRI/radiotherapy systems like ViewRay. Current projects focus on machine learning-driven radiomic analysis of prostate cancer and glioblastoma evolution during treatment, with emphasis on adaptive therapy optimization. Recent publications (2023-2025) reveal a cohesive trajectory in exploiting low-field MR-LINAC technology for real-time treatment adaptation. Key themes include radiomic feature stability assessment, deep learning segmentation for tumor tracking, and multi-parametric MRI analysis to decode treatment resistance mechanisms—primarily in prostate cancer and glioblastoma contexts. Award highlights include: NIH Shannon Award Association of University Radiologists Stauffer Award Doctoral Dissertation Fellowship Award Sigma Pi Sigma Physics Honor Society recognition Dr. Ford mentors physics residents, a biomedical engineering graduate student, and postdoctoral researchers in MRI device development. His grant portfolio features an NIH Shared Instrumentation Grant as Principal Investigator and EPA funding for an MR-based water monitoring device, demonstrating cross-disciplinary innovation. Laboratory efforts center on building small-animal MRI platforms and establishing clinical data registries for ViewRay treatment optimization.
Kathryn W. Bills is an Associate Professor of Clinical Large Animal Diagnostic Imaging at the University of Pennsylvania's School of Veterinary Medicine, based at the New Bolton Center. Her work focuses on advanced imaging systems like CT, MRI, and standing cone beam CT, as well as 3D printing applications for clinical and educational purposes. Education: VMD from University of Pennsylvania (2012), BS in Biochemistry from Tufts University (2008) Dr. Bills' research spans equine diagnostic imaging, innovative imaging technologies, and educational tool development. She specializes in clinical applications of standing equine imaging systems and rapid prototyping. Her publications since 2019 highlight expertise in equine orthopedics, CT imaging, and 3D printing for veterinary education. These works cover fetlock pathology, temporomandibular joint treatment, and inflammatory cytokine analysis in osteoarthritis. Diplomate, American College of Veterinary Radiology (DACVR) Diplomate, American College of Veterinary Radiology, Equine Diagnostic Imaging (DACVR-EDI) Dr. Bills provides clinical leadership in diagnostic imaging at New Bolton Center, contributing to equine patient care and advancing imaging technologies through her research.
Kara A. Brown is an Assistant Professor in the Clinical Studies - New Bolton Center department at the University of Pennsylvania School of Veterinary Medicine . She specializes in Equine Sports Medicine and Rehabilitation with a focus on treating poor performance in equine athletes, axial skeletal pain, and regenerative medicine. Her clinical training includes an Equine Internship at Woodside Equine Clinic , a Large Animal Internship , and a Residency in Equine Sports Medicine and Rehabilitation at New Bolton Center. She holds board certification from the American College of Veterinary Sports Medicine and Rehabilitation (ACVSMR) . Education: VMD (Veterinary Medicine), University of Pennsylvania School of Veterinary Medicine, 2014 Board Certification: Diplomate, American College of Veterinary Sports Medicine and Rehabilitation Research Interests: Equine Rehabilitation Cervical and Thoracolumbar Spine Pathology Sport Horse Performance Optimization Regenerative Medicine Applications in Equine Care Diagnostic Imaging Techniques for Equine Conditions Scientific Achievements: Board-certified Diplomate of ACVSMR Published extensively in Veterinary Radiology & Ultrasound , Journal of Veterinary Internal Medicine , and Equine Veterinary Journal Clinical Affiliation: New Bolton Center Hospital - Sports Medicine Surgery Unit
Ge Wang is the Clark & Crossan Endowed Chair Professor and Director of the Biomedical Imaging Center at Rensselaer Polytechnic Institute. A pioneer in computed tomography and AI-based medical imaging, he developed the cone-beam spiral CT method and leads the 'AI4TMI' initiative as Editor-in-Chief of IEEE Transactions on Medical Imaging. His cross-disciplinary appointments span Biomedical Engineering, Electrical and Computer Engineering, and the Center for Computational Innovations. Education: Ph.D. in Electrical and Computer Engineering, University at Buffalo M.S. in Remote Sensing, University of Chinese Academy of Sciences B.E. in Signal Processing, Xidian University Research focuses on AI-driven tomographic reconstruction, low-dose CT, photon-counting systems, and multi-modality imaging integration. Key innovations include deep learning frameworks for image enhancement, virtual CT workflows, and foundation models for medical diagnostics. Recent work emphasizes generative AI for synthetic medical data creation and physics-inspired neural networks. Publication analysis reveals three dominant themes: 1) Advanced reconstruction algorithms for low-dose CT, 2) Multimodal foundation models for cancer screening, 3) AI-optimized hardware interfaces. His 15 most recent articles demonstrate consistent focus on improving diagnostic accuracy while reducing radiation exposure. Awards and Honors: IEEE EMBS Career Achievement Award (2021) SPIE Meinel Technology Award (2022) Sigma Xi Chubb Award for Innovation (2022) RPI Wiley Distinguished Faculty Award (2023) IEEE NPSS Hoffman Medical Imaging Scientist Award (2023) AAPM Edith H. Quimby Lifetime Achievement Award (2025) Advises PhD students on photon-counting CT, MRI reconstruction, and AI applications. Secured over $40M in funding from NIH, NSF, GE Healthcare, and NVIDIA. Directs the Wang-AXIS Lab, collaborating with FDA, Stanford, and Harvard on projects like the NIH-funded cardiac CT initiative. Leads the Biomedical Imaging Center's 25+ member team developing next-generation imaging systems. Current projects include real-time tomographic scanners, nanoparticle-enabled MRI, and hybrid CT-MRI platforms. The lab maintains open-source repositories for AI-based reconstruction algorithms.
Professor Hongkai Zhao is a Chancellor’s Professor and Chair of the Mathematics Department at the University of California, Irvine (UCI), with a joint appointment in Computer Science. He holds a B.S. from Peking University, M.S. from USC, and Ph.D. from UCLA, all in Mathematics. His research focuses on computational and applied mathematics, including moving interface problems, inverse problems, imaging, and Hamilton-Jacobi equations. He is renowned for developing the Fast Sweeping Method (FSM) for solving hyperbolic PDEs efficiently. Education: B.S. (Peking University, 1990), M.S. (USC, 1992), Ph.D. (UCLA, 1996). Employment: UCI faculty since 1999, Szego Assistant Professor at Stanford (1996–1999). Research interests span computational fluid dynamics (moving interfaces), inverse problems (tomography, wave propagation), and imaging (medical imaging, computer vision). Key contributions include numerical methods for surfactant-laden drops, fast algorithms for Hamilton-Jacobi equations, and 4D cone-beam CT reconstruction. Awards include the Feng Kang Prize (2007), Sloan Fellowship (2002–2004), and Chancellor’s Professorship (2016–present). He has authored over 100 publications on numerical methods, inverse problems, and PDEs. Lab affiliations: Active in interdisciplinary research at UCI, leading projects in computational mathematics and imaging science. Current work includes high-frequency wave propagation, multi-scale modeling, and geometric data analysis.
Renato Menezes Silva, DDS, MS, PhD, is a Professor and Chair of the Department of Endodontics at the University of Pittsburgh School of Dental Medicine. He holds additional roles as Senior Associate Dean and maintains a faculty practice focused on endodontics. Previously, he served as an Assistant Professor (2007-2011) and later Associate Professor/Chair at the University of Texas Health Science Center at Houston until 2022. Dr. Silva's educational background includes a DDS from the University Gama Filho in Brazil (1994), an MS in Endodontics (2002) and PhD in Oral Sciences (2006) from the University of São Paulo, followed by a postdoctoral fellowship in Human Molecular Genetics at the University of Pittsburgh. His research interests span endodontics, human genetics, and oral sciences. Key areas include root resorption mechanisms, inflammation pathways in apical periodontitis, and the impact of viral infections like SARS-CoV-2 on dental pulp pathophysiology. His work emphasizes translational studies linking molecular biology to clinical outcomes in endodontic care. Dr. Silva has contributed to advancements in endodontic sealers' adhesion mechanisms and irrigation protocols. He is a board-certified endodontist and actively involved in academic leadership, shaping dental education and research initiatives at Pitt.
