جست‌وجوی استاد و پژوهشگر

Camila Aquinoمشاهده پروفایل

استادیار

• Movement Disorders
• Parkinson's Disease
• Deep Brain Stimulation
• +۵ مورد دیگر

Dr. Camila Aquino serves as Assistant Professor in both the Department of Clinical Neurosciences and Department of Community Health Sciences at the University of Calgary's Cumming School of Medicine, and is a Full Member of the Hotchkiss Brain Institute. As Medical Director of the Deep Brain Stimulation Program, she specializes in Parkinson's disease, essential tremor, dystonia, and chorea management, including EMG-guided botulinum toxin injections. Her educational background includes: M.D. in Medicine from Escola Superior de Ciencias da Santa Casa (2005) M.S. in Neurosciences from Federal University of Sao Paulo (2012) Ph.D. in Neurosciences from Federal University of Sao Paulo (2019) M.S. in Health Research Methods, Clinical Epidemiology from McMaster University (2020) Dr. Aquino's research addresses unmet needs in movement disorders through innovative clinical trial designs for Parkinson's disease, focusing on precision-medicine approaches, early intervention, and outcome optimization. She actively evaluates neuromodulation therapies including Deep Brain Stimulation, Spinal Cord Stimulation, and MRgFUS, with emphasis on expanding indications and improving patient outcomes. As an International Parkinson and Movement Disorder Society member, she chairs the web-based learning committee and serves on evidence-based medicine and outcome measure committees. Analysis of her 15 most recent publications (2021-2025) reveals a cohesive research trajectory centered on Parkinson's disease management, with dominant themes in motor fluctuation treatments, deep brain stimulation methodology, and clinical trial innovation. Her work bridges fundamental clinical practice guidelines with advanced neuromodulation technologies, demonstrating consistent commitment to evidence-based solutions for movement disorders. Her scientific recognition includes: Parkinson Canada research grant Mohammed Al Zaibak Foundation scholarship CAPES scholarship from Brazilian Ministry of Education Dr. Aquino has secured significant research funding supporting clinical trials in Parkinson's disease neuroprotection and neuromodulation therapies. While specific student advisees aren't listed, her leadership of the DBS Program and active clinical trial portfolio indicate substantial mentorship responsibilities. Her grant portfolio emphasizes translational research with direct clinical impact. She directs the University of Calgary's Deep Brain Stimulation Program and contributes to the MRI-guided focused ultrasound initiative. Through her International Parkinson and Movement Disorder Society committee roles, she shapes global educational standards and evidence-based practices in movement disorders.

Joel Gohمشاهده پروفایل

دانشیار

• Health services and systems
• Transportation, logistics and supply chains
• Operations research
• +۶ مورد دیگر

Joel Goh is Associate Professor at the Department of Analytics and Operations, NUS Business School, National University of Singapore. He serves as Director of the J.Y. Pillay Comparative Asia Research Centre (under NUS Global Asia Institute) and PhD Program Director at the Institute of Operations Research and Analytics (IORA). Previously, he was Assistant Professor at Harvard Business School (2014-2017) and Visiting Scholar (2017-2022). BSc, MSc, PhD in Operations, Information, and Technology from Stanford University His research focuses on healthcare analytics (preventing health conditions, hospital operations, frailty assessment), supply chain analytics (digital business models, platform leakage), and service platform operations (hospital-at-home programs, incentive design). He co-created the Robust Optimization Made Easy (ROME) software. Recent publications analyze workplace psychological safety (2024), hospital-at-home models (2024), and platform leakage dynamics (2023). His work spans 18+ journals with 740+ citations for burnout cost studies (2022) and 606+ citations for physician well-being research (2017). Teaching Honors : 2023: Best MBA Teaching & Skinner Innovation Award 2021: NUS Annual Teaching Excellence Award 2020: Early Career Research Excellence Award & 40 Under 40 Best MBA Professors Advising & Grants : Served as PhD Program Director. Received NUS Start-Up Grant R-314-000-110-133 (2021) and Humanities & Social Sciences Fellowship (2021). Editorial roles include Associate Editor at Management Science , Manufacturing & Service Operations Management , and Senior Editor at Production and Operations Management .

Massimo Mischiمشاهده پروفایل

استاد

• Biomedical Signal Processing
• Diagnostic Imaging
• Ultrasound Technology
• +۴ مورد دیگر

Massimo Mischi is a Full Professor at the Faculty of Electrical Engineering of the Eindhoven University of Technology (TU/e) and chairs the Signal Processing Systems (SPS) Division , the largest division at TU/e with over 250 researchers. He founded the Biomedical Diagnostics (BM/d) Lab in 2012, which now includes 180 researchers and clinical/industrial advisors, focusing on biomedical signal processing for diagnostics and monitoring.

Jennifer Dahneمشاهده پروفایل

استاد

• Digital Health
• Behavioral Health
• Substance Use Disorders
• +۳ مورد دیگر

Dr. Jennifer Dahne is a Professor of Psychiatry and Behavioral Sciences and the Melvyn Berlinsky Distinguished Endowed Chair in Cancer Research at the Medical University of South Carolina (MUSC). She holds leadership roles in MUSC’s Innovation Sciences Unit and the South Carolina Clinical & Translational Research Institute. Her research focuses on leveraging digital health technologies to address behavioral health disorders, particularly depression and substance use, with an emphasis on vulnerable populations. She also pioneers decentralized clinical trials and co-founded two digital health startups. Dr. Dahne’s work is supported by NIH grants (R01, R21, R41, R42, K23) and emphasizes translational research and commercialization of academic innovations. Education: Ph.D. in Clinical Psychology, University of Maryland, College Park (2016) Predoc Internship: MUSC/Ralph H. Johnson VA Medical Center Postdoc Fellowship: NIDA T32 Training Program (MUSC) Research Interests: Dr. Dahne’s work centers on digital health solutions to improve mental health care accessibility and efficacy. Key areas include: Decentralized clinical trials (remote/virtual trials) Telehealth and mobile health interventions for depression and substance use Health equity in digital health adoption Innovative clinical trial methodologies Awards & Leadership: Melvyn Berlinsky Distinguished Endowed Chair (2023) Inaugural Director, MUSC Innovation Sciences Unit (2022) Leadership roles in the SC Clinical & Translational Research Institute and Telehealth Center of Excellence Grants & Advising: Over 15 NIH grants awarded, including R01 and K-series. Her lab focuses on scalable interventions and has mentored students in digital health R&D. Collaborations span academia and industry through her startups and innovation initiatives. Labs & Teams: Research lab details available via MUSC’s Research Profile link. Active in cross-disciplinary teams advancing digital health and clinical trial innovation.

E.I. Friedمشاهده پروفایل

دانشیار

• Clinical psychology
• Psychiatry
• Epidemiology
• +۶ مورد دیگر

Dr. Eiko Fried is an Associate Professor at Leiden University's Faculty of Social and Behavioural Sciences, where he works at the intersection of clinical psychology, psychiatry, epidemiology, methodology, and complexity science. His research focuses on improving psychological science through open science practices and innovative measurement approaches. PhD in clinical psychology, Free University of Berlin Postdoctoral training at KU Leuven and University of Amsterdam Promoted to Associate Professor at Leiden University in 2021 Key research areas include: Psychopathology measurement and classification Network analysis in mental health research Ecological momentary assessment (EMA) methodology Open science advocacy and implementation Dynamic systems modeling in psychology Transdiagnostic approaches to mental disorders Recent publications demonstrate expertise in: Symptom network analysis across disorders Improving depression measurement standards Transdiagnostic assessment protocols Mental health data integration challenges Psychological theory construction Methodological innovations in clinical research

• Maternal-Fetal Medicine
• Cardiovascular Disease in Pregnancy
• Hypertension in Pregnancy
• +۳ مورد دیگر

Dr. Annalies Denoble is an Assistant Professor of Obstetrics, Gynecology & Reproductive Sciences at Yale School of Medicine. She specializes in maternal-fetal medicine, focusing on high-risk pregnancies, particularly those complicated by cardiovascular disease. Her research addresses gaps in understanding maternal heart disease, hypertension, and vaccine safety during pregnancy. Education: MD and MSc in Clinical Research, University of Michigan Medical School (2014) Bachelor of Arts in French Studies, Duke University (2008) Research Interests: Her work centers on cardiovascular complications in pregnancy, including hypertension, heart failure, and congenital heart disease. She collaborates with Yale's multi-disciplinary Pregnancy Heart Team to optimize care for patients with cardiac conditions. Her studies also investigate vaccine safety, preeclampsia, and maternal mortality reduction strategies. Recent Research Trends: Her publications highlight late-onset postpartum hypertension, vaccine safety in pregnancy, and hypertension progression during and after pregnancy. She emphasizes extending postpartum care and improving risk prediction models for adverse cardiac events. Awards: Recognized as a 'Top Doctor' in Yale Ob/Gyn Physicians for 2025. Collaborations & Clinics: Dr. Denoble works with the Pregnancy Heart Team and Yale Medicine's Maternal-Fetal Medicine unit. She sees patients at locations in New Haven, New London, and Waterbury, CT.

• Signal Processing
• Speech Recognition
• Machine Learning
• +۶ مورد دیگر

Roberto Togneri is a Professor and Senior Honorary Research Fellow at the University of Western Australia's School of Electrical, Electronic and Computer Engineering. He has been affiliated with the university since 1988, following his PhD in 1989. His research focuses on signal processing, speech recognition, machine learning, and biometrics, with notable contributions to audio-visual recognition systems and fraud detection. Education: PhD in Electrical Engineering (University of Western Australia, 1989). Research interests include feature extraction for audio signals, neural network models for speech and speaker recognition, and applications of machine learning to fraud prevention. His work has been recognized with awards such as the Education Innovation Award (ICASSP 2019) and grants from the Australian Research Council (e.g., DP110103336 for a 3D Audio-Visual Speech Recognition System). Key projects include developing robust speech recognition systems in adverse environments and advancing graph-based fraudster group detection using spatio-temporal data. He has also contributed to editorial roles in IEEE Signal Processing Magazine and authored over 214 research outputs. Funding highlights include $279,000 for a 3D audio-visual speech recognition system (2011–2013) and $230,000 for robust speech recognition in hostile environments (2010–2012). His research aligns with UN SDGs related to innovation and infrastructure.

Akihiko Nishimuraمشاهده پروفایل

استادیار

• Bayesian Statistics
• Statistical Computing
• Public Health Data Science
• +۹ مورد دیگر

Akihiko Nishimura is an Assistant Professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He holds a PhD from Duke University (2017) and MS and BS degrees from Stanford University (2011 and 2010). His research focuses on Bayesian methods, statistical computing, and public health data science, with applications in precision medicine and observational health data analytics. PhD, Duke University, 2017 MS, Stanford University, 2011 BS, Stanford University, 2010 Nishimura's research centers on developing advanced statistical and computational methodologies for real-world health data. His work emphasizes Bayesian inference, large-scale computing, and software development for reproducible research. He is particularly interested in using observational health data to improve clinical decision-making and advance precision medicine. He co-leads the Bayesian Learning and Spatio-Temporal modeling group (BLAST Group) and the inHealth/OHDSI Lab , collaborating with clinicians and data scientists across institutions. His recent publications reflect a strong trend in methodological innovation in Monte Carlo methods (e.g., Hamiltonian and Zigzag samplers), scalable Bayesian inference, and applications in pharmacovigilance, diabetes management, and infectious disease modeling. The articles span disciplines including biostatistics, computational statistics, public health, and bioinformatics, demonstrating a consistent focus on high-impact, computationally intensive problems in health data science. Nishimura actively contributes to the scientific community through methodological development and open science. He develops statistical software and shares teaching materials on GitHub, emphasizing reproducibility and performant computing. His involvement in the OHDSI community enables large-scale, multi-institutional studies that would not be feasible with single-source data. His work has been recognized through publications in top-tier journals such as the Journal of the American Statistical Association , Biometrika , and JAMA Ophthalmology , and has been picked up by numerous news outlets and social media platforms, indicating broad scientific and public impact. Nishimura teaches courses on performant statistical computing and advanced Monte Carlo methods, training the next generation of data scientists in efficient algorithm and software design. He mentors students and collaborators in statistical methodology and software development, fostering a culture of rigorous, reproducible, and impactful research.

Franz Lennard Ricklefsمشاهده پروفایل

استاد

• Neurosurgery
• Neuro-oncology
• Molecular Neurobiology
• +۵ مورد دیگر

Prof. Dr. med. Franz Lennard Ricklefs is a Senior Physician and Head of the Working Group at the Department of Neurosurgery, University of Hamburg Faculty of Medicine. He is a Medical Specialist in Neurosurgery with cross-disciplinary expertise in neuro-oncology, molecular pathology, and extracellular vesicle research. Affiliations: University Medical Center Hamburg-Eppendorf (UKE), European Liquid Biopsy Society (ELBS), International Consortium on Meningiomas (ICOM) Research Interests: His work focuses on neurosurgical oncology, particularly glioblastoma and meningioma pathobiology. He investigates DNA methylation patterns, extracellular vesicle biomarkers, and liquid biopsy implementation in clinical neuro-oncology. Additional interests include surgical outcomes for epilepsy and aneurysm management. Article Trends: Over the last decade, Dr. Ricklefs has published extensively on: Extracellular vesicle applications as liquid biopsy markers DNA methylation subclasses for glioblastoma and meningioma Multicenter surgical outcome benchmarking Immune evasion mechanisms in neuro-oncology Technological innovations in neurosurgical visualization Molecular characterization of rare CNS tumors Professional Contributions: He co-authored the MISEV2023 guidelines for extracellular vesicle studies and participates in international consensus reviews for meningioma classification. His collaborations span institutions across Europe and North America.

• Medical Image and Video Analysis
• Temporal Data Analysis
• Machine Learning
• +۳ مورد دیگر

Sveta Zinger is a Full Professor in context-informed dynamic image analysis for clinical decision support at Eindhoven University of Technology (TU/e). She holds affiliations with the Biomedical Diagnostics Lab, NeuroPlatform, and EAISI Health. Her research focuses on medical image/video analysis, temporal data analysis, and machine learning for clinical applications. She has led projects funded by ZonMw, NWO, Philips, and others. She is also Co-Editor-in-Chief of Computer Methods and Programs in Biomedicine and serves on the Vidi committee for NWO. Education: MSc (2000) from Dnepropetrovsk State University; PhD (2004) from École Nationale Supérieure des Télécommunications, France. Postdoctoral roles at the French Atomic Agency and University of Groningen. Research Projects: Includes FORSEE (video monitoring for adverse events in healthcare) and NEUROTREND (fMRI biomarkers for depression). Awards: Second place in the CAMELYON17 challenge for metastases detection. Her teaching includes courses on DSP fundamentals, medical image processing, and cognitive neuroscience. She collaborates with clinical and industrial partners to advance biomedical diagnostics and healthcare technology.

• Immunology
• Virology
• Infectious Diseases
• +۶ مورد دیگر

Paul Klenerman is a Professor at the Nuffield Department of Medicine within the Medical Sciences Division , University of Oxford. His research focuses on immune responses to infectious diseases including HIV, hepatitis B/C, and SARS-CoV-2, with emphasis on T-cell biology, vaccine development, and host-pathogen dynamics. Email: paul.klenerman@medawar.ox.ac.uk Collaborators: Ellie Barnes (Oxford), Adrian Hill (Oxford), Georg Lauer (Harvard), Robert Thimme (Freiburg), and others across 12 institutions. Key research themes include: CD161++/MAIT cell biology (bacterial/viral defense, liver immunology), HCV immune defense (vaccine trials using adenoviral vectors), and memory inflation (persistent immune responses post-viral infections). Recent publications (2024-2025) span vaccine immunology (hybrid immunity, bivalent boosters), liver immunobiology (MAIT cell repair mechanisms), infectious disease dynamics (HCV persistence, dengue progression), and single-cell analysis of gut/lung pathologies.

Babak Taatiمشاهده پروفایل

دانشیار

• Computer Vision
• Healthcare Technology
• Artificial Intelligence
• +۳ مورد دیگر

Babak Taati is an Associate Professor at the University of Toronto (UofT), affiliated with the Department of Computer Science, Institute of Biomedical Engineering (BME), and Rehabilitation Sciences Institute (RSI). He holds the Barbara G. Stymiest Chair in Rehabilitation Technology Research at UHN and is a Senior Scientist at KITE, UHN's research arm. He is also a Vector Institute Faculty Affiliate. His work focuses on applying computer vision and machine learning to healthcare challenges, particularly in rehabilitation technologies for aging populations, gait analysis, fall prevention, and dementia care. Taati leads the Aging team at KITE and is affiliated with the Intelligent Assistive Technology and Systems Lab (IATSL) and the Computational Vision group. Research interests include noninvasive monitoring of health conditions such as Parkinsonism, sleep apnea, and pain management in older adults. His contributions span datasets like the Toronto NeuroFace Dataset and TOAGA archive, emphasizing clinical applications. Taati has taught CSC420 (Image Understanding) repeatedly and has organized workshops on topics like AI in dementia care and ambient intelligence in healthcare. His awards include the TRI-UHN Best Paper Award (2017) and the AMS Healthcare Fellow in Compassion and Artificial Intelligence (2021). He has advised students like Michael Li and collaborates on grants involving federal initiatives (e.g., FedDev Ontario). His research bridges theoretical computer science with practical healthcare solutions, addressing unmet clinical needs through vision-based systems.

• Malaria Research
• Infectious Diseases
• Antibiotic Resistance
• +۵ مورد دیگر

Martina Wade is a Researcher in the Department of Epidemiology of Microbial Diseases at Yale School of Public Health. Her work focuses on infectious diseases, particularly malaria and antibiotic resistance, with a global health perspective emphasizing sub-Saharan Africa. She collaborates on projects in Cameroon, Uganda, and Burkina Faso, addressing drug resistance mechanisms, diagnostic innovations, and public health interventions. Her research spans clinical trials (e.g., ivermectin mass drug administration protocols), microbiota analysis in livestock and human populations, and environmental transmission dynamics of pathogens. She has published extensively on malaria treatment efficacy, microbiome disruptions from antibiotic use, and novel diagnostic technologies like photoacoustic detection. Her work bridges laboratory science with field epidemiology, aiming to improve clinical outcomes and public health strategies. Key collaborations include Sunil Parikh, Justin Goodwin, and Fangyong Li, focusing on antimalarial resistance tracking and pediatric infection dynamics. Her laboratory is located at 60 College Street, Ste Room 711, New Haven, CT. Contact: martina.wade@yale.edu.

• Epidemiology
• Public Health
• Child Health
• +۵ مورد دیگر

Associate Professor Aditi Dey holds a conjoint appointment at the Sydney Medical School within the University of Sydney , and serves as Manager of Surveillance at the National Centre for Immunisation Research and Surveillance (NCIRS) . Her work focuses on immunization program evaluation, vaccine coverage analysis, and surveillance of vaccine-preventable diseases and adverse events. She has extensive experience in public health research, spanning roles in Thailand and India prior to her current positions in Australia. Dr Dey completed an MBBS, followed by postgraduate qualifications including a DTM&H (Tropical Medicine & Hygiene), Grad Dip Applied Science (Health Information Management), MPH, and a PhD from the University of Sydney. Her research integrates epidemiological analysis with public health policy implementation, particularly addressing health disparities in vaccination access and outcomes among Indigenous populations and other underserved groups. Her research interests prominently feature vaccine safety , epidemiological trends of infectious diseases, and the impact of vaccination policies such as Australia’s “No Jab, No Pay” initiative. She also investigates the effectiveness of vaccination programs for diseases like rotavirus, HPV, and varicella-zoster virus, often analyzing large-scale national health datasets. Notable contributions include evaluations of Australia’s HPV vaccination program, analysis of rotavirus vaccine efficacy, and assessments of adverse events following immunization. Her work emphasizes improving immunization coverage through better data systems and healthcare provider education, particularly for at-risk populations. Dr Dey actively contributes to public health efforts through teaching and course coordination at the University of Sydney, and collaborates with institutions like the Sydney Infectious Diseases Institute . Her expertise bridges clinical practice, research, and policy, driving evidence-based improvements in Australia’s immunization landscape.

Rosemary Morganمشاهده پروفایل

استاد پژوهشی

• Gender inequities
• Health systems
• Women's health
• +۵ مورد دیگر

Rosemary Morgan, PhD, MSc, is a Research Professor at Johns Hopkins Bloomberg School of Public Health in the Department of International Health. She holds primary affiliations with the International Health Department and is associated with the Johns Hopkins Center for Global Women's Health and Gender Equity and the Johns Hopkins Center for Women's Health, Sex, and Gender Research. Dr. Morgan's educational background includes a PhD from the University of Leeds (2012), an MSc from the University of Edinburgh (2007), and a BA from the University of British Columbia (2006). Prior to joining Johns Hopkins, she served as a Lecturer in Global Health Policy at the University of Edinburgh's Global Public Health Unit and as a Research and Teaching Fellow at the Nuffield Centre for International Health and Development at the University of Leeds. Her research focuses on gender inequities in health systems, women's health and wellbeing, and the impact of gender on public health interventions. Dr. Morgan specializes in qualitative research methods and has conducted extensive work on gender analysis in health systems, reproductive health, and the gendered effects of pandemics. Her work often examines how gender norms and power relations affect health outcomes and system performance, particularly in low- and middle-income countries. Dr. Morgan's publication record shows consistent scholarly output from 2014 through 2025, with a notable increase in productivity in recent years. Her research spans multiple domains including gender-responsive monitoring and evaluation, moral distress among healthcare workers, vaccine hesitancy (particularly among pregnant individuals), and the intersection of gender with various health conditions. She has developed methodologies for gender analysis in health systems research and has contributed significantly to understanding how gender influences health outcomes across diverse contexts. Faculty Advisor of the 2023-2024 academic year award from the Global Health: Policy and Evaluation DrPH Program Concentration, JHSPH Excellence in Teaching, Johns Hopkins Bloomberg School of Public Health Excellence in International COVID-19 Public Health Practice, 2021 Nominated for Canadian Women Leaders in Global Health, 2018 and 2020 Selected for 300 Women Leaders in Global Health, 2014 Dr. Morgan serves as co-Editor in Chief of the journal SSM - Health Systems and is a current board member of Health Systems Global. She has advised numerous major research projects including those funded by the Bill & Melinda Gates Foundation, CIHR, USAID, and TDR. Her current leadership roles include being Principal Investigator on the Monitoring for Action and Learning (MAGE) project supporting the Global Financing Facility for reproductive, maternal, newborn, child and adolescent health initiatives. She also leads the Gender and Health Certificate program at JHSPH and co-directs the Gender and Health Summer Institute. Dr. Morgan teaches courses on Gender Analysis in Health Research and Interventions, Foundations in Gender and Health, and Health Systems in Low- and Middle-Income Countries. Her teaching reflects her research expertise, emphasizing practical applications of gender analysis in global health settings.