جست‌وجوی استاد و پژوهشگر

Hans Heesterbeekمشاهده پروفایل

استاد

• Infectious Diseases
• Theoretical Epidemiology
• Mathematical Modelling
• +۳ مورد دیگر

Prof. Dr. ir. Hans Heesterbeek is a full Professor of Theoretical Epidemiology at Utrecht University's Faculty of Veterinary Medicine. He holds a dual appointment in the Department of Farm Animal Health within the Population Health Sciences sector. His research focuses on the dynamics of infectious diseases at the intersection of biology, medicine, and mathematics, with emphasis on wildlife epidemiology and complex systems. He chairs Utrecht University's Committee for Research Integrity and has held leadership roles in departments like Animals in Science and Society. Education: MSc Phytopathology (Wageningen University, 1986), MSc Mathematics (University of Amsterdam, 1988), PhD in Mathematical Biology from Leiden University (1992) Affiliations: Editor-in-Chief of Epidemics journal, Senior Editor at Proceedings of the Royal Society B , Chair of ZonMw's Open Competition grant program Research interests include: Mathematical modeling of disease spread Ecological epidemiology of zoonotic pathogens Role of wildlife in disease transmission Historical analysis of epidemic understanding Key contributions: Co-developer of the R₀ reproduction number framework, foundational to global epidemiological modeling. Active in interdisciplinary work linking theoretical ecology to societal systems. Currently writing a book on the history of epidemic science. Grants: Vici laureate (€1.3M, 2005-2010). Organizes biannual Epidemics conferences. Advises on public health policy during outbreaks like the 2020 COVID-19 pandemic.

Patrick J. Curranمشاهده پروفایل

استاد

• Quantitative Methods
• Longitudinal Data Analysis
• Developmental Psychopathology
• +۳ مورد دیگر

Patrick J. Curran is a Professor in the Department of Psychology at the University of North Carolina, affiliated with the L.L. Thurstone Psychometric Laboratory and the Quantitude initiative. His research focuses on quantitative methodologies, particularly longitudinal data analysis and structural equation modeling, applied to developmental psychopathology and adolescent substance use. He collaborates on statistical education through YouTube tutorials, a blog (Help Desk), and workshops, alongside a podcast with Greg Hancock. His work bridges methodological innovation with substantive research in psychology and public health. Key contributions include advancing latent curve models with structured residuals, integrative data analysis techniques, and the dissemination of statistical tools. His research spans disciplines such as developmental psychology, clinical psychology, and epidemiology, addressing topics like alcohol use trajectories, chronic depression mechanisms, and pandemic-related disparities in healthcare workers’ mental health. Lab Affiliations: L.L. Thurstone Psychometric Lab, Quantitude Collaborations: Dan Bauer (statistical education), Greg Hancock (podcast), and interdisciplinary teams in public health and clinical research His publications emphasize methodological rigor and practical application, often addressing gaps in longitudinal data analysis and measurement equivalence. Notable work includes the latent curve model with structured residuals (LCM-SR) and integrative data harmonization strategies for prevention science.

Lawrence S. Engelمشاهده پروفایل

استاد

• Environmental Epidemiology
• Occupational Epidemiology
• Disaster Epidemiology
• +۳ مورد دیگر

Lawrence S. Engel, PhD, serves as Professor in the Department of Epidemiology at UNC's Gillings School of Global Public Health, with additional appointments at the Lineberger Comprehensive Cancer Center and UNC Center for Environmental Health and Susceptibility. He concurrently holds an associate scientist position in the Epidemiology Branch of the National Institute of Environmental Health Sciences (NIEHS). His educational credentials include a PhD (1999) and MS (1996) in Epidemiology from the University of Washington-Seattle, and a BS in Genetics from UC Berkeley (1986). Dr. Engel's research program investigates health impacts of environmental disasters (oil spills, hurricanes), pesticides, persistent organic pollutants, and occupational hazards on cancer, neurological deficits, and chronic kidney disease. He leads UNC's Environmental and Occupational Epidemiology initiatives, utilizing biomarkers and multi-source clinical data to examine exposure-disease relationships through cohort and case-control designs. His work emphasizes vulnerable populations in disaster-affected regions and agricultural communities. Analysis of his 2007-2019 publications reveals consistent focus on disaster-related exposures (Deepwater Horizon), neurotoxicants (styrene), and carcinogens (organochlorines, PCBs). Methodologically, his studies leverage nested cohort designs, long-term follow-up, and biomarker integration to assess cardiovascular, neurological, and oncological outcomes across diverse populations. His scientific recognition includes: NIH Director’s Award for the Gulf Long-term Follow-up (GuLF) Study (2011) Dr. Engel teaches Environmental Epidemiology (EPID 785), lectures on disaster/occupational epidemiology, and serves on the Department of Epidemiology admissions committee. He chairs the Scientific Advisory Board for Western New York's Environmental Health Study at the University at Buffalo, with research primarily funded through NIEHS collaborations including the GuLF Study. He directs environmental epidemiology programs within the Department of Epidemiology and collaborates extensively with Lineberger Comprehensive Cancer Center and UNC Center for Environmental Health and Susceptibility teams on interdisciplinary environmental health projects.

Christopher M. Jonesمشاهده پروفایل

پژوهشگر

• Intensive-longitudinal methods
• Behavior Change (interventions)
• Social and health inequalities
• +۴ مورد دیگر

Dr. rer. nat. Christopher M. Jones is a Senior Scientist in the Department of Cardiovascular and Metabolic Disease Prevention at the Medical Faculty Mannheim of Heidelberg University . Holding a PhD in Clinical Psychology from the University of Bremen, his work bridges behavioral science, digital health, and social determinants of health behavior. Current focus areas include intensive longitudinal methodology for real-time behavioral analysis. Investigates social and contextual factors influencing intention-behavior translation. Examines socioeconomic drivers of health disparities and misinformation dissemination on social media. Recently expanded into climate and health research, particularly air pollution protective behaviors. His methodological expertise spans experimental designs and smartphone-based ecological momentary assessments. Publications include studies on: COVID-19 nonpharmaceutical adherence dynamics. Smoking behavior regulation over time. Misinformation sharing in digital health contexts. Behavioral determinants of antibiotic prescribing patterns. Contact: christopher.jones@medma.uni-heidelberg.de | Phone: +49 621 383-71792

Lee M. Millerمشاهده پروفایل

استاد

• Neuroengineering
• Computational Neuroscience
• Auditory and Speech Processing
• +۴ مورد دیگر

Lee M. Miller is a Professor and Vice Chair of Academic Affairs in the Department of Neurobiology, Physiology and Behavior at the University of California, Davis, affiliated with the Center for Mind and Brain. His research focuses on neuroengineering, computational neuroscience, and neural mechanisms underlying attention, speech processing, and multisensory integration. Research interests include the development of neural prosthetics, decoding of neuromuscular signals for prosthetic control, and understanding how auditory and visual systems interact during speech perception and attentional processes. His work bridges clinical applications (e.g., cochlear implants) with fundamental neuroscience, leveraging tools like electrophysiological recordings, EEG/MEG, and advanced signal processing techniques. Recent publications highlight innovations in electromyographic speech neuroprosthetics, the topology of neuromuscular signals, and the neural basis of speech-in-noise processing. Miller’s studies emphasize translational potential, such as improving speech synthesis from brain signals and designing haptic feedback systems for motor coordination. His contributions have advanced understanding of neural mechanisms in sensory integration, auditory attention, and the impact of cognitive factors on perception. Miller maintains a lab dedicated to these interdisciplinary efforts, with a focus on both basic science and clinical applications.

• Biostatistics
• Public Health
• Medical Imaging
• +۳ مورد دیگر

Jingjing Zou is an Assistant Professor in Residence at the Herbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego. Her research focuses on integrating statistical methodologies with medical imaging and public health challenges, particularly in cancer prevention, physical activity analysis, and radiomics. Education: PhD in Statistics, Columbia University MA in Statistics, Columbia University BS in Statistics, Peking University Research Interests: Dr. Zou's work emphasizes functional data analysis, accelerometer-based physical activity monitoring, and MRI techniques for cancer treatment evaluation. She develops statistical models to analyze longitudinal health data, with applications in cardiovascular disease prevention and oncology. Her studies often bridge clinical outcomes with advanced imaging biomarkers. Grants: NIH/NHLBI (Principal Investigator): Examining Longitudinal Changes in Accelerometer-Measured Physical Activity in Preventing Cardiovascular Disease (2024-2028) NIH R37CA249659 (Co-Investigator): Advanced diffusion MRI for cervical cancer treatment evaluation (2021-2026) NIH R01CA255780 (Co-Investigator): Whole-body radiomics for gynecologic cancers (2020-2024) Labs/Teams: Collaborates with interdisciplinary teams in radiology, oncology, and biostatistics, including co-authors like Loki Natarajan (UCSD) and Loren Mell (UCSD).

• Cybersecurity
• Digital Ecosystems
• Cloud Computing
• +۴ مورد دیگر

Kari M. Koskinen is a University Lecturer at Aalto University's Department of Information and Service Management. His research focuses on cybersecurity, digital ecosystems, and technology management with applications in healthcare, agriculture, and smart cities. He frequently collaborates with scholars like Hadi Ghanbari and Sonja Hyrynsalmi on topics ranging from ransomware mitigation to sustainable mobility solutions. His work emphasizes real-world case studies, such as analyzing the Vastaamo psychotherapy clinic data breach and examining supply chain attacks in manufacturing. Key contributions include frameworks for cloud-based integration platforms, risk management in digital ecosystems, and the socio-technical implications of autonomous vehicles. Koskinen also explores visibility labor in NFT markets and how digital platforms address development challenges in the Global South. His teaching cases, published in the Journal of Information Technology Teaching Cases, bridge theoretical concepts with practical cybersecurity scenarios.

Knut Håkon Holeمشاهده پروفایل

دانشیار

• Radiology
• Oncology
• Medical Imaging
• +۴ مورد دیگر

Knut Håkon Hole is an Associate Professor at the University of Oslo's Department of Radiology and Nuclear Medicine. His research focuses on diagnostic imaging applications in oncology, particularly in prostate and rectal cancers. He specializes in MRI, PET, and radiogenomics techniques to assess tumor biology, treatment response, and recurrence. Expertise: Prostate cancer imaging, neoadjuvant therapy response, tumor hypoxia, and imaging biomarkers Key affiliations: Oslo University Hospital (Rikshospitalet), Radium Hospital Research interests include: Developing MRI and PET protocols for cancer staging and recurrence detection Integrating imaging with genomic data (radiogenomics) Optimizing therapeutic approaches using imaging biomarkers Recent work highlights: Prostate cancer radiogenomics and hypoxia biomarkers (2024) MRI/PET comparisons for tumor localization (2021-2023) Neoadjuvant therapy response assessment in rectal and breast cancers (2020-2023) Publications span over 50 peer-reviewed articles with a focus on translational imaging research. Collaborates extensively with oncology and urology teams.

Markus Freitagمشاهده پروفایل

استاد

• Political Sociology
• Political Psychology
• Comparative Politics
• +۵ مورد دیگر

Prof. Dr. Markus Freitag is a Professor of Political Sociology at the University of Bern . He studied political science, economics, and German language and literature at Heidelberg University, obtaining his Magister Artium in 1995, followed by a PhD in 1999. Positions: Post-Doc at University of Basel, ETH Zurich, University of Essex; Visiting Lecturer at University of Konstanz; Assistant Professor at Humboldt University Berlin; Chair of Comparative Politics at University of Konstanz (2005-2011) Current role: Director of the Institute of Political Science, University of Bern (since 2011) His research focuses on political sociology, political psychology, comparative politics, social capital , and direct democracy . Key themes include: Emotional drivers of political behavior during crises (e.g., pandemic politics) Personality traits and voter decision-making Trust in institutions and associational life Intergroup conflict and polarization Swiss militia system and local governance Global analysis of regime preferences and social cohesion Recent scientific publications emphasize affective polarization, pandemic preparedness, institutional trust , and arms export ethics , with empirical studies across Europe and post-conflict regions . His work appears in journals like British Journal of Political Science , Comparative Political Studies , and Political Psychology . Prof. Freitag leads teaching courses at the University of Bern, including "Demokratie und Gesellschaft I" and "The Political Sociology of Crises" , and collaborates with researchers such as Christopher Claassen, Sascha Göbel, Alina Zumbrunn , and Maximilian Filsinger .

Lars Maegdefesselمشاهده پروفایل

استاد

• Vascular Biology
• Cardiovascular Disease
• Atherosclerosis
• +۳ مورد دیگر

Prof. Lars Mägdefessel is a Professor of Vascular Biology at the Technical University of Munich (TUM), leading the Molecular Vascular Biology group within the TUM School of Medicine and Health. His research focuses on non-coding RNAs in vascular diseases, particularly atherosclerosis and aortic aneurysms, using translational approaches for molecular treatment discovery. He holds an MD from Johannes Gutenberg University (Mainz, Germany), completed cardiology clinical training, and postdoctoral research at Stanford University before joining TUM in 2016. Education: MD from Johannes Gutenberg University, Mainz Postdoctoral training at Stanford University, USA Assistant Professor at Karolinska Institute, Sweden Research Interests: Non-coding RNA regulation in vascular pathology Mechanisms of atherosclerotic plaque vulnerability Translational therapies for vascular diseases Advanced aortic aneurysm progression Awards include the ERC Consolidator Grant (2023), Russell Ross Award (2023), and Heisenberg Professorship (2016). His lab is supported by the German Center for Cardiovascular Research (DZHK).

Ferreira Joao Carlosمشاهده پروفایل

استاد

• Artificial Intelligence
• AI in Health and Medicine
• AI in Energy and Transportation
• +۶ مورد دیگر

Joao Carlos Amaro Ferreira is a Professor at the Faculty of Logistics, Molde University College (HiMolde), Norway. He holds PhDs in Computer Engineering and Industrial Engineering from the Technical University of Lisbon and the University of Minho, respectively. His research focuses on Artificial Intelligence (AI) applications in healthcare, energy, transportation, IoT, blockchain, and smart cities. He has led over 40 projects, including 6 as Principal Investigator, and contributed to international conferences like OAIR and INTSYS. He served as IEEE CIS President (2016-2018) and is an IEEE Senior Member since 2015. His academic contributions span AI-driven solutions for public sector informatics, healthcare data quality, and cybersecurity. He actively participates in European projects such as e-Hospital4Future and explores blockchain applications in supply chains and medical records. Ferreira leads the ABC-AI research group, emphasizing ethical and applied AI. His work bridges academia and industry through projects like gamification systems for eco-driving and AI in fisheries traceability. Recent publications highlight AI's role in cardiovascular disease detection, emergency department optimization, and blockchain-enhanced healthcare interoperability. He collaborates internationally, co-editing journals like Applied Sciences , and has authored patents in edge computing for maritime monitoring.

Chenang Liuمشاهده پروفایل

دانشیار

• Smart Manufacturing
• Data Analytics
• Machine Learning
• +۲ مورد دیگر

Dr. Chenang Liu is an Associate Professor in the Department of Industrial Engineering & Management at Oklahoma State University's College of Engineering, Architecture and Technology (CEAT). Their research focuses on smart manufacturing systems, real-time quality monitoring, and machine learning applications in manufacturing and healthcare. Ph.D., Industrial and Systems Engineering, Virginia Tech, 2019 M.S., Statistics, Virginia Tech, 2017 B.S., Mathematics (Statistics track), Zhejiang University, China, 2014 B.S., Environmental and Resource Sciences, Zhejiang University, China, 2014 Research Interests: Dr. Liu develops advanced sensing and data analytics methodologies for smart manufacturing, statistical frameworks for real-time quality control, and mathematical models integrating machine learning with healthcare applications. Their work bridges industrial engineering principles with cutting-edge data science techniques. Publication Trends: Recent articles demonstrate expertise in diabetic retinopathy prediction via interpretable AI, supply chain coordination mechanisms, EHR analytics for disease progression modeling, and combinatorial optimization algorithms. Key themes include healthcare data science, resilient manufacturing systems, and stochastic resource allocation. Scientific Recognition: Featured Article in ISE Magazine, IISE, 2019 Gilbreth Memorial Fellowship, IISE, 2018-2019 Best Poster Award, INFORMS Annual Meeting, 2018 Best Student Paper Finalist, IISE Annual Conference, 2018 Best Paper Awards at INFORMS (2017) and IISE (2017)

Qijia Shaoمشاهده پروفایل

استادیار

• Mobile Computing
• HCI
• Ubiquitous Computing
• +۷ مورد دیگر

Qijia Shao is an Assistant Professor at The Hong Kong University of Science and Technology (HKUST), specializing in Mobile Computing, Human-Computer Interaction (HCI), and Ubiquitous Computing. He earned his Ph.D. in Computer Science from Columbia University (2024), advised by Prof. Xia Zhou and Prof. Fred Jiang, with prior degrees from Dartmouth College (M.Sc.) and UESTC (B.Sc.). His research focuses on developing unobtrusive systems for human physical/physiological signal sensing, integrating machine learning, signal processing, and hardware design to address societal challenges in healthcare, education, and human-computer interaction. Educational Background: Ph.D., Computer Science, Columbia University (2024) M.Sc., Dartmouth College B.Sc., UESTC Visiting Student, National Chiao Tung University (EECS) Research Assistant, Missouri S&T Research Interests: Deployable systems for human state analysis via physical/physiological signals (e.g., ECG, movement) Generalizable AI algorithms for low-overhead data interpretation Hardware-software co-design for imperceptible sensing Applications in healthcare (e.g., Kangaroo Mother Care monitoring), education, and consumer electronics Awards & Recognition: MobiSys 2024 Best Paper and Demo Awards NSF Funding & Rising Stars Honors ACM UbiComp Gaetano Borriello Award Finalist Editorial Board Member (ACM IMWUT, since 2024) Lab & Collaborations: Director of the Ubiquitous X Lab at HKUST Industry partnerships with Samsung, Snap, and Philips Research International conference TPC roles (MobiSys, SenSys) and keynote speaking engagements

Michal Bassani-Sternbergمشاهده پروفایل

استادیار

• Cancer Immunotherapy
• Immunopeptidomics
• Proteogenomics
• +۷ مورد دیگر

Michal Bassani-Sternberg is an Assistant Professor on conditional pre-tenure at the Faculty of Biology and Medicine, University of Lausanne (UNIL), and an Assistant Member at the Ludwig Institute for Cancer Research, Lausanne. She leads the Antigen Discovery Group and the Immunopeptidomics Unit at the Center for Experimental Therapies, Department of Oncology, UNIL-CHUV. Her work bridges proteogenomics, mass spectrometry, and computational biology to advance personalized cancer immunotherapy. Her educational background includes a Bachelor, Master, and Doctorate in Biology from the Technion – Israel Institute of Technology, Haifa, all earned with Cum Laude distinction. She completed postdoctoral training at the Technion and the Max Planck Institute for Biochemistry, Germany, in the group of Prof. Matthias Mann. Dr. Bassani-Sternberg's research focuses on identifying cancer-specific Human Leukocyte Antigen (HLA) ligands to guide the development of personalized immunotherapies. Her group develops cutting-edge proteogenomic and mass spectrometry-based immunopeptidomics approaches to discover tumor-associated antigens, neoantigens, and non-canonical peptides. A key contribution is the development of NeoDisc, a continuous bioinformatics pipeline that integrates genomics, transcriptomics, and immunopeptidomics data for direct neoantigen identification in clinical trials. Her recent publications, appearing in high-impact journals such as Nature , Nature Biotechnology , Immunity , and Nature Cancer , reflect a strong trend in integrating multi-omics data to understand tumor immunogenicity, T cell responses, and antigen presentation dynamics. Her work increasingly incorporates machine learning to improve neoantigen prediction and TCR specificity inference. She has been recognized with the Pfizer Research Prize in 2021 for her contributions to immuno-oncology. Pfizer Research Prize (2021) Dr. Bassani-Sternberg leads an active research group involved in phase I clinical trials for personalized cancer vaccines and adoptive T cell therapies. Her lab is supported by major grants from the Swiss Cancer League, Swiss National Science Foundation, and ISREC Foundation. She mentors doctoral and postdoctoral researchers and collaborates extensively within the Lausanne immuno-oncology ecosystem, including CHUV and Ludwig Lausanne. Her lab, the Bassani-Sternberg Lab, is part of the Department of Oncology’s research platforms and focuses on immunopeptidomics, antigen discovery, and the development of analytical tools for personalized immunotherapy.

• Cardiovascular Medicine
• Hypertension
• Heart Disease in Women
• +۷ مورد دیگر

Eva Gerdts is a Professor at the Clinical Institute 2, University of Bergen, and is affiliated with Haukeland University Hospital. She is a Member of the Norwegian Academy of Sciences and leads the Bergen Hypertension and Cardiac Dynamics Group. Her work is central to the Center for Research on Heart Disease in Women, established in 2020 with support from the Heart Foundation, Bergen Women's Health Association, and the Grieg Foundation. University: University of Bergen Affiliation: Clinical Institute 2 Research Group: Hypertension and Cardiac Dynamics Center: Center for Research on Heart Disease in Women Email: eva.gerdts@uib.no Her research focuses on heart disease in women , particularly as influenced by hypertension, aortic valve stenosis, obesity, and autoimmune diseases. She investigates sex-specific differences in cardiac strain, arterial stiffness, and myocardial remodeling. Her work emphasizes how male-based data cannot be extrapolated to women, advocating for gender-specific cardiovascular guidelines. Her recent publications span population studies like the Tromsø and Hordaland Health Surveys, clinical trials, and international collaborations. Key trends include sex differences in hypertension outcomes , cardiac effects of bariatric surgery , cryptogenic stroke in young adults , and inflammatory markers in autoimmune diseases . Her research integrates echocardiography, longitudinal data, and public health implications. Scientific recognition includes: Member of the Norwegian Academy of Sciences National Heart Association's Heart Research Prize 2022 She supervises multiple PhD and Master’s students, including Ester Kringeland, Sahrai Saeed, and Arleen Aune. She leads the PhD course NORHEART901 in Cardiovascular Imaging and teaches in medical education on hypertension, cardiac ultrasound, and women's heart health. Her research is supported by large-scale population studies and clinical collaborations, particularly through the NOR-SYS and SECRETO projects. She also organizes professional education on valvular disease and dyspnea. She leads or collaborates with several research teams: Bergen Hypertension and Cardiac Dynamics Group Center for Research on Heart Disease in Women NOR-SYS (Norwegian Stroke in the Young Study) SECRETO (Searching for Explanations for Cryptogenic Stroke in the Young) FATCOR Study (Fitness, Adiposity, and Cardiovascular Risk)