Find Academic Supervisors

Jay ChristianView profile

Associate Professor

• Spatial Epidemiology
• Environmental Health
• Tobacco & Behavioral Risk Factors
• +2 more

Jay Christian, Ph.D., is an Associate Professor in the Department of Epidemiology & Environmental Health at the University of Kentucky. He holds research memberships in the Cancer Prevention and Control Research Program, Center for Appalachian Research in Environmental Sciences (UK-CARES), and Markey Cancer Center. Dr. Christian earned both his Ph.D. (2013) and Master of Public Health (2003) from the University of Kentucky. His research focuses on spatial epidemiology, environmental exposures, tobacco-related health risks, and cancer disparities. Key domains include: Geospatial analysis of disease patterns Environmental contaminant impacts on communities Behavioral risk factors in Appalachian populations Cancer incidence variations and prevention strategies His recent publications (2023-2025) demonstrate strong emphasis on environmental epidemiology (water/air pollution studies), cancer detection trends, health disparities in rural Appalachia, and impacts of COVID-19 on healthcare access. Research frequently employs spatial scan statistics and community-based participatory methods. He leads multiple federal grants including NIH projects on pediatric brain tumors linked to air pollution (NCI), heavy metal exposure impacts on children (NIEHS), and public health workforce development (CDC). His work contributes to UN Sustainable Development Goals through environmental health equity research.

Jafar RazmiView profile

Professor

• Structural Engineering
• Materials Science
• Fatigue and Damage
• +3 more

Prof. Jafar Razmi serves as a Professor at Arizona State University, where his research centers on engineering structures and infrastructural design under dynamic loads including transportation and environmental forces. His expertise spans material behavior analysis, fatigue and damage mechanisms, and advanced additive manufacturing applications. Academic credentials include a BS in Mechanical Engineering and MS/PhD in Civil Engineering from the University of Maryland at College Park, complemented by over 12 years of industry experience in mechanical design, industrial construction, power stations, and Quality Assurance/Environmental Management Systems auditing. Primary research interests encompass: Structural integrity under complex loading conditions Fatigue and damage progression in engineering materials Additive manufacturing process optimization for metals Thermal characterization of metallic powders Mechanical behavior of additively manufactured alloys Microstructure-property relationships in advanced materials Recent publications (2021-2025) reveal a concentrated focus on metal additive manufacturing, particularly powder bed fusion techniques for copper and titanium alloys. His work demonstrates significant contributions to achieving high conductivity/strength in copper structures, understanding anisotropic behavior in Ti6Al4V parts, and developing image processing methods for process optimization. Collaborative efforts span Arizona State University's Mechanical and Aerospace Engineering department and extend to Stanford University, reflecting interdisciplinary engagement across materials science and computational engineering domains. His industry-academia bridge provides practical relevance to theoretical research, particularly in power systems and manufacturing applications.

Jake QuallsView profile

Associate Professor

• Bioinformatics
• Artificial Intelligence
• Medical Imaging Analysis
• +4 more

Dr. Jake Qualls is an Associate Professor of Bioinformatics at the Computer Science & Mathematics Department, Arkansas State University, within the Beck College of Sciences & Mathematics. His research bridges computational methods with biomedical applications. Research Interests Dr. Qualls specializes in Bioinformatics , Artificial Intelligence , and Medical Imaging , with a focus on improving diagnostic accuracy and addressing learning disabilities through computational approaches. His work spans AI-driven font optimization for dyslexia Lung cancer detection via CT scans Emergency room patient classification using X-rays Machine learning in genomic analysis Publications Dr. Qualls' recent publications (2020-2024) emphasize Transfer Learning , 3D Convolution , and U-Net Architectures applied to medical imaging and genomics, particularly for lung/renal cancer diagnostics, Alzheimer's disease, and dyslexia interventions.

Raghav GnanasambandamView profile

Assistant Professor

• Scientific Machine Learning
• Surrogate Modeling
• Uncertainty Quantification
• +2 more

Raghav Gnanasambandam is an Assistant Professor in the Industrial & Manufacturing Engineering department at Florida A&M University-Florida State University College of Engineering. He holds a Ph.D. in Industrial and Systems Engineering from Virginia Tech (2024) and a dual bachelor's/master's degree in Mechanical Engineering from IIT Madras (2019). His research focuses on Scientific Machine Learning, Surrogate Modeling, Uncertainty Quantification, and Metal Additive Manufacturing. Educational Background: Ph.D., Industrial and Systems Engineering, Virginia Tech (2024) Dual Degree (B.S./M.S.), Mechanical Engineering, IIT Madras (2019) He develops physics-informed machine learning techniques for digital twins in manufacturing, with applications in laser scan path optimization, thermal modeling, and multi-physics simulations. His work combines deep learning with physical constraints to improve process efficiency and predictive accuracy. Scientific Awards: ISE Outstanding Doctoral Student, Virginia Tech, 2023 As principal investigator of the M2M Research Group, he leads projects supported by Amazon Web Services. His teaching includes courses in manufacturing systems and machine learning applications.

Monika MichálkováView profile

Researcher

• transparent ceramic
• glass-ceramic
• ceramic composites
• +4 more

Monika Michálková, PhD, is a Researcher at the Department of Glass Processing within the Joint Glass Centre (Vitrum Laugaricio – VILA) at Alexander Dubček University of Trenčín. Her work focuses on advanced ceramic materials development through European and national projects including Horizon 2020's FunGlass and multiple VEGA/APVV grants. Her research spans transparent ceramics, glass-ceramics, and ceramic composites with emphasis on viscous flow sintering, corrosion mechanisms, and graphene integration. Key projects include Sciex NMS (as project leader for Si3N4/CNF composites) and VEGA 2/0028/21 on ion-exchange strengthened glass-ceramics. Analysis of her publications reveals specialization in YAG systems, alumina processing, and nanocomposite reinforcement, with significant contributions to low-temperature sintering techniques and mechanical property optimization. Her work consistently targets high-impact applications in lighting, structural components, and energy-efficient technologies. Scientific Awards: 2021: Slovak Ministry of Education Award for Science Team of the Year (ceramic-graphene composites) She serves as PhD supervisor in the university's doctoral program for Inorganic Technologies and Materials, with research stays at EMPA Switzerland (2016-2017) and University of Muenster (2011). Her professional activities include secretary of the Slovak Glass Society and membership in the Slovak Silicate Society. Current projects involve Horizon Europe's CLiCAM and EVERGLASS initiatives focusing on sustainable glass-ceramic development.

Thomas EichertView profile

Professor

• Plant Nutrition
• Foliar Fertilization
• Plant Physiology
• +3 more

Prof. Dr. Thomas Eichert serves as Professor of Horticulture within the School of Landscape Architecture, Horticulture and Forestry at the University of Applied Sciences Erfurt since October 2017. His subject area focuses on Physiology and Practice of Plant Nutrition, and he actively contributes as a member of the LGF Audit Committee. His academic journey spans over two decades with continuous appointments at German agricultural institutions. His educational foundation includes a Diplom in Geoecology (1996) and Dr. rer. nat. (2001) from the University of Bayreuth, followed by Habilitation in Plant Nutrition/Agricultural Chemistry at the University of Bonn (2010). Prior to his current professorship, he served as Temporary Academic Councillor (2011-2017) and Research Associate (1997-2011) at the University of Bonn's Institute of Crop Science, while maintaining partnership at HGoTECH GmbH since 2010. Eichert's research establishes him as a leading authority in foliar nutrient uptake mechanisms, particularly regarding boron and zinc transport across plant cuticles. His work bridges fundamental plant physiology with practical agricultural applications, examining nanoparticle interactions, nutrient speciation, and environmental impacts on crop nutrition. The recurring themes across his publications demonstrate exceptional expertise in leaf surface properties and their role in nutrient absorption efficiency. His teaching portfolio spans critical horticultural disciplines including Botany I/II, Ecological Basics, Plant Nutrition and Protection (BGA2040/BGA3030), Scientific Work methodology, and advanced Master's courses in Climate Change Adaptation and Statistical Methods in Crop Production. This comprehensive curriculum reflects his integrated approach to plant science education. While no formal student advisement is documented in the provided materials, Eichert's industry partnership at HGoTECH GmbH indicates applied research translation. His laboratory work focuses on advanced nutrient delivery systems and plant surface analysis, though specific team structures aren't detailed in the source text.

• Remote Sensing
• Ecology
• Conservation Biology
• +7 more

Nathalie Pettorelli is a Professor at the Institute of Zoology, Zoological Society of London, and holds an Honorary Professor position at University College London. She leads the Environmental Monitoring and Conservation Modelling (EMCM) team at the Institute of Zoology, focusing on developing tools and methodologies for sustainable natural resource management. Her educational background includes a PhD in Ecology & Modelling from University Lyon (1999-2002), a DEA in Ecology & Modelling from University Lyon (1998-1999), and a Master in Ecology from University Paris 5 (1997-1998). Pettorelli's research centers on assessing and predicting the impacts of global environmental change on biodiversity and ecosystem services, with particular emphasis on climate change. She employs a multi-disciplinary approach integrating statistics, remote sensing, and programming to conduct internationally recognized research. Her extensive experience with remote sensing data drives her interest in promoting better integration of satellite-based data in global monitoring programs, particularly for biodiversity conservation applications. Her work spans conservation, ecology, biodiversity monitoring, and applied ecological research, with recent publications demonstrating strong focus on climate change impacts, nature-based solutions, and technological innovations in conservation. Her extensive publication record shows consistent contributions to high-impact journals including Nature Ecology & Evolution, Journal of Applied Ecology, and Trends in Ecology and Evolution, with recent work exploring the intersection of AI, remote sensing, and conservation science. Pettorelli frequently collaborates on horizon scanning exercises to identify emerging conservation issues and has contributed to several book chapters on seabird conservation. Pettorelli has progressed through the academic ranks at the Zoological Society of London, from Post Doctoral Research Fellow (2006-2009), to Research Fellow (2009-2017), Senior Research Fellow (2017-2022), and now Professor (2022-present). Her work demonstrates strong interdisciplinary collaboration across ecology, conservation science, remote sensing, and policy development. She leads the Environmental Monitoring and Conservation Modelling team, which develops innovative approaches to environmental monitoring and conservation planning. Her research group works at the intersection of technology and ecology, developing new methods for biodiversity assessment and conservation decision-making under global environmental change.

• Geoinformatics
• 3D/4D modeling of continental margins
• Magmatic systems
• +9 more

Professor Kenneth Mccaffrey is Head of Department and Chair of the Board of Studies in the Department of Earth Sciences at Durham University. He has served in this department since 2000, progressing from Lecturer to Senior Lecturer (2004), Reader (2008), and Professor (2013). Previously, he was at Kingston University (1995-2000) and Trinity College Dublin (1991-1995). He also served as Director of the Centre for Research in Earth Energy System (CeREES) from 2011-2014 and as a Royal Society Industrial Fellow (50% FTE) from 2006-2009. His research spans geoinformatics methods , 3D/4D modeling of continental margins , magma and mineralized systems , and structural characterization of fault and shear zones . His work integrates field observations with digital technologies to understand tectonic processes, fracture systems in reservoir analogues, and the mechanical evolution of deformation zones. He has pioneered the use of terrestrial laser scanning and digital mapping techniques for geological applications. Analysis of his recent publications reveals a strong focus on helium resource systems , rift basin evolution , and fault mechanics , with increasing integration of computational methods including deep learning for structural interpretation. His work bridges fundamental geological processes with practical applications in resource exploration. 2021 Dewey Medal from the Geological Society of London for fieldwork and mentoring contributions 2005 Murchison Fund from the Geological Society 2001 Durham University Excellence in Teaching Award 1993 Ramsay Medal Professor Mccaffrey has supervised multiple PhD students including Adam Welsh, Lewis Mackenzie, Rhiannon Morgan, and Zak Milner. He has served on the Petroleum Group Committee of the Geological Society of London since 2013 and previously on their Science Committee (2000-2002). He was 'Specials' editor for the Geological Society of London from 2006-2012 and has convened numerous significant conferences including the 2016 event marking fifty years of the Wilson Cycle Concept in Plate Tectonics. He leads research in the Centre for Research in Earth Energy System (CeREES) and has been instrumental in developing digital field methods and virtual outcrop technologies that have transformed geological data acquisition and analysis.

• Cartography
• GIS
• Remote Sensing
• +6 more

Eufemia Tarantino is Full Professor of Geomatics at the Polytechnic University of Bari, working within the Department of Civil, Environmental, Land, Building Engineering and Chemistry (DICATECh). She has held academic positions at the university since 2002, progressing from Assistant Professor to Associate Professor and achieving Full Professor status in 2019. Professor Tarantino serves as Coordinator of the MSc Course of Environmental and Territorial Engineering, is a Member of the Executive Council, and oversees the student career fair. Her research expertise spans cartography, GIS, remote sensing, and geomatics, with particular focus on: Analysis of metric characteristics and extraction of 2D/3D geometric primitives from satellite/aerial/UAV data Multi-temporal analysis and change detection for environmental and cultural heritage monitoring Development of web-based GIS for interactive geospatial analysis Professor Tarantino's publication record includes over 180 scientific contributions in international databases. Her recent work (2023-2026) demonstrates continued productivity with numerous book chapters and journal articles focused on soil sealing dynamics, precision viticulture, marine pollution monitoring, urban growth analysis, and advanced remote sensing techniques. Her research shows strong application to environmental monitoring, cultural heritage preservation, and sustainable spatial planning. As an active member of the international geospatial community, she serves on the editorial boards of 'Remote Sensing' and 'ISPRS International Journal of Geo-Information' and reviews for approximately 18 international journals. Her teaching responsibilities include Cartography, GIS, and Remote Sensing courses at undergraduate and graduate levels, as well as Advances in Geomatic Engineering at the PhD level. Professor Tarantino's work demonstrates strong international collaboration and application to real-world environmental challenges, with recent projects addressing soil sealing, marine plastic pollution, precision agriculture, and climate-related phenomena using advanced geospatial technologies.

Sergi Garcia-ManyesView profile

Professor

• Biophysics
• Cellular Mechanobiology
• Protein Nanomechanics
• +5 more

Sergi Garcia-Manyes is Professor of Biophysics at King's College London with a joint appointment between the Department of Physics and the Randall Division of Cell and Molecular Biophysics. He leads the Biological Physics and Soft Matter research group at King's and serves as a Principal Group Leader and Assistant Research Director at The Francis Crick Institute where he established a satellite laboratory in 2019. Education: 2000: BSc in Chemistry, University of Barcelona 2005: PhD in Physical Chemistry, University of Barcelona (Scanning Probe Microscopy) Postdoctoral training: Columbia University (Biology Department) with Julio Fernández Garcia-Manyes' research focuses on cellular mechanobiology, specifically how mechanical forces travel across cells to influence biochemical changes inside the nucleus. His laboratory develops and applies single-molecule techniques to capture the unfolding and refolding trajectories of proteins under force, combining concepts from polymer physics, protein chemistry, and molecular biology. His work addresses the fundamental question of whether phenomena observed in single-molecule experiments translate to cellular environments. Recent publications reveal his focus on nuclear mechanics, protein elasticity, and the role of mechanical forces in cellular processes. Scientific Awards: EPSRC Early Career Fellowship Leverhulme Research Leadership Award Wellcome Trust Investigator Award Royal Society Wolfson Fellow Garcia-Manyes holds significant research funding through his Leverhulme Research Leadership Award and Wellcome Trust Investigator Award, supporting his work on molecular mechanisms of cellular mechanobiology. His laboratory at the Crick Institute aims to understand how mechanical forces regulate cellular behavior, with implications for cardiovascular conditions and cancer. He collaborates extensively across institutions, including with Paula Booth from King's Chemistry and Justin Molloy from the Crick Institute. The Garcia-Manyes lab operates across two primary locations: at King's College London where they maintain the Biological Physics and Soft Matter research group, and at the Francis Crick Institute where they established a satellite laboratory in 2019. The lab combines expertise in single-molecule biophysics, cell biology, and protein chemistry to investigate mechanotransduction pathways from the molecular to cellular level.

• Data Mining
• Bioinformatics
• Neural Networks
• +5 more

Dr. Ray R. Hashemi is a Professor in the Department of Computer Science within Georgia Southern University's College of Engineering and Computing. His academic career spans over 14 years of continuous research output from 2003-2017, with significant contributions as co-editor for four International Conferences on Information Technology and Knowledge Engineering (2005, 2010, 2014, 2017). His research focuses on innovative applications of data mining across diverse domains: Bioinformatics: DNA sequence analysis, organ toxicity prediction, and liver cancer predictive systems Medical Informatics: Bone mineral density analysis using DEXA data and dendrograms Financial Systems: Extraction of essential constituents from S&P500 index Environmental Science: Climate prediction using algae sedimentation patterns Computer Vision: Video mining for theatrical analysis and Android-based OCR for non-flat documents Methodologically, Dr. Hashemi specializes in neighborhood systems analysis, association rule mining, and grid-based approaches for sparse data. His work consistently bridges theoretical data mining concepts with practical applications, developing tools for signature-based prediction, record layout discovery, and intent analysis through web behavior. Recent publications (2015-2017) show increased focus on domain-specific applications in finance and toxicology while maintaining core data mining expertise. His collaborative work includes partnerships with international researchers across multiple continents, demonstrated through conference editorial roles and co-authored publications. Dr. Hashemi's research demonstrates sustained scholarly activity with practical implementations in medical diagnostics, financial analysis, and environmental prediction systems.

Julie A. Van DykeView profile

Adjunct Professor

• Language Comprehension
• Reading Disorders
• Cognitive Neuroscience
• +3 more

Dr. Julie A. Van Dyke serves as Senior Research Scientist and Vice President of Research and Strategic Initiatives at Haskins Laboratories, an independent research institute affiliated with Yale University and the University of Connecticut. She holds adjunct professorships at McMaster University and the City University of New York Graduate Center while maintaining affiliate status at UConn's CT Institute for Brain and Cognitive Sciences. Her NIH-funded research investigates neurocognitive mechanisms underlying language comprehension and reading disorders. Her educational background includes: Ph.D. in Cognitive Psychology from University of Pittsburgh M.Sc. in Computational Linguistics from Carnegie Mellon University Honors B.A. in Computer Science and Linguistics from University of Delaware Dr. Van Dyke's research centers on cue-based retrieval theory, examining how retrieval interference causes comprehension failures in both normative processing and clinical populations (dyslexia, ADHD, age-related decline). She pioneered the application of speed-accuracy tradeoff methodology to diagnose direct-access retrieval mechanisms and investigates individual differences in eye-movement control during reading. Her work bridges cognitive theory with clinical applications through machine learning classifiers for reading disability and fixation-related brain imaging of word-by-word processing. Analysis of her recent publications reveals consistent focus on retrieval interference mechanisms across multiple methodologies: eye-tracking studies establish individual skill factors in oculomotor control, neuroimaging work identifies neural correlates of interference resolution, and machine learning approaches develop diagnostic classifiers. Key trends include the role of predictive timing in fluency disorders and dissociation between grammatical vs. semantic interference effects. Her scientific recognition includes: NIH/NICHD Institutional Post-doctoral National Research Service Award NIH/NICHD Individual Post-doctoral National Research Service Award Dr. Van Dyke actively shapes her field through editorial roles as Associate Editor for Journal of Experimental Psychology: General and Section Editor for Language and Linguistics Compass. Her NIH-funded grants support collaborative projects with researchers including Victor Kuperman, Luca Campanelli, and Clint Johns, focusing on retrieval interference, reading disability mechanisms, and neural underpinnings of comprehension. Current initiatives integrate computational linguistics with cognitive neuroscience to model real-time processing during reading. As Vice President at Haskins Laboratories, she leads a multidisciplinary team utilizing eye-tracking, EEG, fMRI, and machine learning to investigate language processing. Her lab collaborates with the CT Institute for Brain and Cognitive Sciences and maintains strong ties with UConn's neuroscience community, with ongoing data collection for fixation-related brain imaging studies.

• Anesthesiology
• Perioperative Medicine
• Emergency Medicine
• +3 more

Morten Vester-Andersen serves as a Clinical Associate Professor in the Department of Clinical Medicine, specifically within the Anaesthesiology section at the University of Copenhagen's Faculty of Health and Medical Sciences. His institutional affiliation is with Region Hovedstaden (Capital Region of Denmark), where he conducts clinical research alongside his academic responsibilities in Copenhagen, Denmark. Dr. Vester-Andersen's research spans several critical areas in perioperative medicine, with particular focus on anesthesiology protocols , diagnostic imaging applications in emergency settings , and perioperative complications management . His work frequently examines the intersection of imaging technology and clinical decision-making, particularly regarding CT scans and MRI in emergency and surgical contexts. Recent publications demonstrate significant contributions to understanding perioperative hypotension, delirium assessment tools, and the application of artificial intelligence in diagnostic imaging. His research output shows strong collaborative patterns across Danish medical institutions, with numerous co-authored publications involving colleagues from multiple departments. The trend in his recent work indicates growing interest in the application of artificial intelligence and advanced imaging techniques to improve diagnostic accuracy and patient outcomes in emergency and perioperative settings. Dr. Vester-Andersen actively participates in clinical research consortia such as the Collaboration for Evidence-based Practice and Research in Anaesthesia (CEPRA), demonstrating his commitment to evidence-based approaches in anesthesiology practice. His work spans both clinical investigations and methodological reviews that shape best practices in the field. His research has attracted attention across academic platforms, with multiple publications receiving citations and mentions in news outlets. Several of his studies have been highlighted for their methodological rigor and clinical relevance to improving patient safety and outcomes in anesthesia and emergency care settings.

• Transgender Health
• Psychiatry
• Endocrinology
• +2 more

Mette Ewers Haahr serves as a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen, with specialized focus in Psychiatry. Her institutional email (mette.ewers.haahr@regionh.dk) confirms active collaboration with the Capital Region of Denmark's healthcare services. Her research spans four critical domains: Transgender Health (particularly adolescent hormone therapy outcomes), Psychiatry (gender identity services), Endocrinology (growth patterns and hormone treatments), and Clinical Epidemiology (trial methodology). Recent work emphasizes semen cryopreservation for transfeminine adolescents and longitudinal studies of Danish transgender youth. Analysis of her 2024-2025 publications reveals concentrated focus on transgender healthcare infrastructure, including cohort study design and fertility preservation protocols. Earlier work (2007-2011) established foundational contributions to clinical trial blinding standards and Alzheimer's biomarker research. Scientific awards: None documented in available sources. Advising and Grants: Current materials indicate no specified graduate students or grant funding details, though her collaborative publications suggest institutional research support.

Michael HauptmannView profile

Professor

• Biostatistics
• Cancer Epidemiology
• Radiation Effects
• +3 more

Prof. Dr. Michael Hauptmann serves as Head of the Institute for Biometry and Registry Research and Scientific Director of ZKS-BB (Center for Clinical Studies) at Brandenburg Medical School Theodor Fontane. He joined the institution on April 9, 2019, establishing himself as a leading academic in biostatistical research and medical education. His research focuses on statistical methods , health services research , and registry research , with particular emphasis on cancer epidemiology, radiation effects, and risk assessment in observational studies. Prof. Hauptmann's work bridges statistical methodology with practical applications in medical research, especially in understanding long-term health outcomes following radiation exposure. Recent publications demonstrate expertise in analyzing radiation-related cancer risks, developing statistical methods for observational studies, and conducting large-scale epidemiological research. His work spans from methodological developments in bias correction to applied studies on cancer risks following medical radiation exposure. Expertise in registries and biostatistics Specialized knowledge in radiation epidemiology Research on cancer risk factors and prevention Methodological work on bias in observational studies Analysis of long-term health effects following radiation exposure As an educator, Prof. Hauptmann teaches biometrics and statistics to medical students and researchers, emphasizing practical applications of statistical methods in medical research and clinical practice. His leadership at the Institute for Biometry and Registry Research supports clinical researchers across the medical school with study design, data analysis, and interpretation of results.