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Mapa Prabhath PiyasenaView profile

Professor

• Ophthalmology
• Vision and eye research
• Retinal diseases
• +4 more

Dr. Mapa Prabhath Piyasena serves as Deputy Director of the Vision and Eye Research Institute at Anglia Ruskin University's School of Medicine in Cambridge. A Public Health Ophthalmologist from Sri Lanka, he brings extensive experience in clinical ophthalmology including vitreo-retinal surgery, eye health research, evidence synthesis, and health policy review. His academic journey spans institutions across Sri Lanka, the UK, and Ireland, with significant contributions to global eye health initiatives. Education: MBBS, Bachelor of Medicine Bachelor of Surgery, Faculty of Medicine University of Peradeniya Sri Lanka Diploma in Science, Post Graduate Institute of Science, University of Peradeniya Sri Lanka In-service Training in Ophthalmology, Clinical Ophthalmology, Post Graduate Institute of Medicine Sri Lanka Masters in Public Health for Eye Care, International Centre for Eye Health, London School of Hygiene and Tropical Medicine PhD in Public Health Ophthalmology, International Centre for Eye Health, London School of Hygiene and Tropical Medicine Fellow of Evidence Synthesis Ireland, University of Galway, Ireland MFPH, Membership through Distinction, Faculty of Public Health UK Dr. Piyasena's research interests focus on developing effective strategies for diabetic retinopathy screening in low and middle-income countries (LMICs), with particular emphasis on resource-poor settings. His work explores global eye health challenges, evidence synthesis through systematic literature reviews and meta-analyses, and health policy development informed by high-quality evidence. His research has directly informed national policies in Sri Lanka and other LMICs, particularly regarding diabetic retinopathy screening integration into public health systems. Analysis of Dr. Piyasena's recent publications reveals a strong focus on diabetic retinopathy screening implementation in LMICs, vision impairment's impact on broader health outcomes, and evidence synthesis methodologies. His work spans clinical research, policy analysis, and implementation science, with increasing attention to artificial intelligence applications in eye care and the intersection of vision health with other health domains like mental health and road safety. Scientific Awards: Research fellow in eye health recognized by HM Queen Elizabeth II at Buckingham Palace Membership through Distinction from Faculty of Public Health UK Hooper Prize for Best Dissertation at LSHTM-UK JD Williamson Prize at CPH-QUB Best Poster award at Biennial National Postdoc Conference of UK Dr. Piyasena has supervised numerous graduate students at LSHTM and Queen's University Belfast, primarily focusing on diabetic retinopathy screening, glaucoma care, and vision's impact on broader life outcomes. His research has been supported by significant grants including £175,000 from the Queen Elizabeth Diamond Jubilee Trust, £3.5 million from Wellcome Trust, and £170,000 from VisionSpring India. His work has directly informed national policy development in Sri Lanka, particularly regarding diabetic retinopathy screening implementation. As Deputy Director of the Vision and Eye Research Institute, Dr. Piyasena leads a multidisciplinary team focused on translating research into policy and practice, particularly for eye conditions affecting LMIC populations. His work bridges clinical ophthalmology, public health, and policy development to address avoidable blindness globally.

Marcello Ruiz, Francisco JavierView profile

Professor

• Remote Sensing
• Satellite Imagery Analysis
• Coastal Ecosystem Monitoring
• +3 more

Professor Marcello Ruiz is a faculty member at Universidad de Las Palmas de Gran Canaria (ULPGC), affiliated with the College of Engineering and Architecture's Department of Signals and Communications. He leads the Image Processing and Remote Sensing Research Group under the IU of Oceanography and Global Change, focusing on environmental monitoring through advanced remote sensing techniques. His research integrates AI and satellite technologies to address ecological challenges, with core interests in: Coastal ecosystem vulnerability assessment Forest degradation and fire mapping Super-resolution of satellite imagery Machine learning for multispectral/LiDAR analysis Oceanographic pattern detection Recent publications demonstrate strong emphasis on AI-driven methodologies, with 2023-2024 works focusing on GANs for image enhancement, forest conservation algorithms, and coastal habitat monitoring using high-resolution sensors. His team consistently publishes in Q1 journals including IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing. Professor Marcello actively advises graduate students, with supervised theses covering UAV-based forest analysis, coastal bathymetry, and oceanographic eddy detection. He maintains collaborations through IEEE GRSS Spain Chapter and develops tools for environmental agencies needing satellite-based ecosystem monitoring solutions.

Agnes FlöelView profile

Professor

• Cognitive Neuroscience
• Sleep Physiology
• Brain Stimulation
• +7 more

Prof Dr Agnes Flöel is a Professor at the University of Greifswald Medical School, where she leads research at the intersection of cognitive neuroscience, sleep physiology, and brain stimulation. Her work focuses on understanding neural mechanisms underlying memory formation and cognitive decline in aging, with particular emphasis on sleep-related processes and non-invasive brain stimulation techniques. Her research interests center on sleep physiology , cognitive neuroscience , and neurostimulation . Dr. Flöel investigates how slow oscillations, spindles, and delta waves interact during sleep to support memory consolidation, particularly in older adults and those with cognitive impairment. Her work extends to developing interventions combining cognitive training with transcranial direct current stimulation (tDCS) to enhance cognitive function in aging and early Alzheimer's disease. She also contributes to methodological advancements in sleep staging through deep learning approaches and addresses technical challenges in neuroimaging. Dr. Flöel's publication record demonstrates consistent productivity with multiple high-impact papers annually, primarily focused on sleep neuroscience, brain stimulation, and cognitive aging. Her work shows strong collaborative patterns with researchers across Germany, particularly within the SFB 1315 research consortium. Recent publications (2022-2024) increasingly incorporate computational approaches, deep learning, and multimodal neuroimaging to address fundamental questions about neural plasticity and memory. Her research has been supported through the Collaborative Research Center 1315 (SFB 1315) funded by the German Research Foundation, focusing on neuronal circuits in aging. Dr. Flöel serves as principal investigator for multiple clinical trials examining brain stimulation approaches for cognitive enhancement in older adults and those with mild cognitive impairment. Dr. Flöel leads a research group investigating sleep-brain interactions in aging, collaborating closely with computational neuroscientists, neurologists, and psychologists. Her team utilizes multimodal approaches including EEG, MRI, and behavioral assessments to understand neural mechanisms of cognitive decline and potential interventions.

Ali MesbahView profile

Professor

• Software Engineering
• AI-driven Software Analysis
• Software Testing
• +5 more

Ali Mesbah is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), where he leads the SALT lab. His research focuses on software engineering with emphasis on AI-driven software analysis, software testing, and software evolution. Previously, he was a Visiting Research Scientist at Google during 2017-2018. Dr. Mesbah received his BSc/MSc (2003) and PhD (2009) degree cum laude in Computer Science from the Delft University of Technology (TUDelft). After completing a postdoctoral fellowship with the Software Engineering Research Group at TUDelft and a Visiting Researcher position at Fujitsu Laboratories of America, he joined UBC in 2011. His research interests span software engineering with particular focus on AI-driven software analysis, software testing, software evolution, program comprehension, fault localization and repair. His work has significant applications in web application testing, JavaScript analysis, and automated program repair. He has pioneered techniques for testing modern web applications, analyzing JavaScript code, and leveraging AI for software maintenance tasks. His recent publications demonstrate a clear evolution toward integrating large language models with traditional program analysis techniques, focusing on test generation, bug repair, and understanding multi-hunk patches. His work bridges theoretical software engineering concepts with practical applications, particularly in web technologies and AI-assisted development. Amazon Research Award (2023) Killam Accelerator Research Fellowship (KARF) (2020) Killam Faculty Research Prize (2019) NSERC Discovery Accelerator (DAS) award (2016) ACM Distinguished Paper Awards at ICSE (2009, 2014) IEEE Distinguished Paper Award at ICST (2018) Best Paper Award at ESEM (2015) Best Paper Award at ICWE (2013) Dr. Mesbah has advised numerous PhD and MASc students, many of whom have gone on to positions at leading technology companies including Google, Amazon, Apple, Microsoft, and SAP. His research has been supported by various grants including the Amazon Research Award and NSERC funding. He leads the SALT lab at UBC, which focuses on software analysis, testing, and learning, with current research directions including AI-driven software engineering, web application testing, and program repair. The lab maintains active collaborations with industry partners and academic institutions worldwide.

• Police Organizational Structure
• Crime Lab Performance
• Criminal Investigations
• +4 more

William King is a Professor and Chair/Program Lead in the Department of Criminal Justice at Boise State University, where he also serves as Graduate and Undergraduate Coordinator. He joined Boise State in 2019 after holding prior academic positions at Sam Houston State University (2009–2019) and Bowling Green State University (1998–2009). His administrative roles include Associate Dean of Research and Program Development at Sam Houston State and Director of the Crime and Justice Research Laboratory at Bowling Green. Education: Ph.D. in Criminal Justice, University of Cincinnati (1998) M.S. in Criminal Justice, University of Cincinnati (1993) B.S. in Criminal Justice, University of Massachusetts at Lowell, Cum Laude (1992) Research focuses on police organizational dynamics, forensic evidence systems, and criminal investigations. Key themes include: Structural evolution and disbanding of police agencies Crime laboratory performance and ballistics imaging efficiency Leadership challenges in law enforcement Policy implementation in criminal justice systems His publications emphasize empirical analysis of policing innovations, forensic workflows, and organizational responses to societal challenges like human trafficking and gun violence. Research often integrates quantitative methods with theoretical frameworks from institutional theory and focal concerns analysis. Grant activity includes over $1.2M in awards from agencies like the National Institute of Justice and Bureau of Justice Assistance. Major projects: Evaluation of NIBIN's impact on criminal investigations ($341,807) Analysis of sexual assault forensic evidence processing ($394,100) Crime reduction strategy development in Trinidad and Tobago ($233,804) Extensive student mentorship includes advising 15+ graduate/undergraduate researchers on theses, publications, and honors projects. Professional service spans editorial boards ( Crime & Delinquency , Journal of Forensic Sciences ) and task forces (Idaho Cold Case and Advanced DNA Methods Task Force).

• Healthcare Systems
• Blockchain Technology
• Operations Management
• +3 more

John Olson serves as Professor and Associate Dean for Academic Programs and Innovation at the University of St. Thomas' Opus College of Business. He has been a core faculty member since 2004, previously chairing the Operations and Supply Chain Management Department (2009-2015) and directing the Business Analytics Program (2015-2020). Currently, he leads the Healthcare Research Center while teaching operations management, quality management, and analytics courses. His educational foundation includes: PhD in Operations Management from University of Nebraska MBA in Operations Management from St. Cloud State University BS in Economics and Mathematics from University of Minnesota Olson's research centers on healthcare technology transformation , specifically examining how blockchain and data systems can reduce costs while improving care quality. His work bridges operations management and healthcare ecosystems , exploring quality improvement programs, hospital organizational culture, and technology adoption patterns. He emphasizes practical applications, translating complex systems dynamics into strategic healthcare decision-making frameworks through experiential teaching methods. His publication trajectory reveals a distinct shift toward healthcare technology since 2010, with 70% of recent work focusing on healthcare operations. Earlier research (2002-2006) covered manufacturing optimization, nonprofit operations, and consumer behavior, demonstrating methodological versatility across assembly line design, internet purchasing models, and cross-cultural quality perception studies. His scientific recognition includes: Department of Management Teaching Award (2003) As an educator, Olson has mentored numerous graduate students while maintaining active industry consultation. His grant leadership spans roles as Principal Investigator at DePaul University (2000-2001) and Grant Coordinator at University of Nebraska (1996-1999), focusing on operational research in healthcare and manufacturing contexts. Through the Healthcare Research Center, he directs interdisciplinary teams investigating data-driven solutions for healthcare delivery systems, fostering partnerships between academic researchers and healthcare providers to implement evidence-based operational improvements.