جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۷۲۱-۷۳۵ از ۴٬۱۰۹ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Michael Kochمشاهده پروفایل

استاد

Nuremberg Institute of Technology Georg Simon OhmGermany

Prof. Michael Koch is a Professor at Technische Hochschule Nürnberg, specializing in interdisciplinary research at the intersection of robotics, materials science, and industrial engineering. His work focuses on advancing additive manufacturing, robotics integration, and computational simulation in manufacturing processes. He holds a Dr.-Ing. and Dipl.-Wirt.-Ing., reflecting his expertise in engineering and applied sciences. Research interests include 3D printing optimization, cyber-physical systems, and safety analysis of materials under mechanical stress. He has contributed to innovations in robotics programming via augmented reality and developed frameworks for automated manufacturing processes. His studies on biomedical applications, such as ovarian cancer modeling, demonstrate a cross-disciplinary approach. Key projects involve robot-guided CT scanning for automotive industry 4.0, part orientation evaluation for additive manufacturing (Poeam), and safety protocols for explosives (PBX). His work emphasizes integrating real-world geometry data into simulations to improve accuracy and efficiency. Prof. Koch’s publications span over three decades, with a focus on manufacturing, robotics, and materials science. He has pioneered methods for energy-efficient CO2 capture systems and explored microstructural changes in materials under dynamic loading.

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Stephanie Tulk Jessoمشاهده پروفایل

استادیار

Binghamton University SUNYUnited States

Stephanie Tulk Jesso is an Assistant Professor at the School of Systems Science and Industrial Engineering at Binghamton University. Her research focuses on human-centered design principles applied to healthcare technology, human-AI interaction, and social robotics. She holds a joint appointment in systems engineering and has collaborated extensively with clinical partners to address real-world healthcare challenges. Her work emphasizes translational research, aiming to bridge gaps between technological innovation and practical healthcare applications. Key research themes include improving patient-clinician interactions through AI tools like VizTrust, reducing hospital fall risks via human-centered robotics, and evaluating clinician involvement in AI development. She has pioneered studies on trust dynamics in human-AI/robot interactions using experimental methods in virtual environments and healthcare settings. Notable projects include co-designing AI chatbots with hospitals and exploring ethical implications of autonomous medical robotics. Her multidisciplinary approach integrates insights from social cognition, behavioral economics, and engineering design. Recent work examines how perceived competence and context influence human-AI collaboration, with implications for healthcare system design. She actively participates in translational research initiatives to ensure technologies are developed with end-user needs central to the process. Dr. Jesso's research trends show strong focus on: (1) Healthcare technology adoption challenges, (2) Ethical frameworks for AI/robotics in medicine, (3) Quantitative evaluation of human-technology collaboration, and (4) Co-design methodologies involving clinicians and patients. Her work frequently appears in top journals addressing human factors, medical informatics, and robotics applications. In advising, she mentors students working at the intersection of technology and healthcare ethics. Her lab collaborates with regional hospitals and tech companies to develop practical solutions for clinical environments. Current projects include AI-driven patient monitoring systems and designing intuitive interfaces for collaborative surgical robots.

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Kristis Alexandrouمشاهده پروفایل

پژوهشگر

The Cyprus InstituteCyprus

Kristis Alexandrou is a Researcher at the Science and Technology in Archaeology and Culture Research Center (STARC) of The Cyprus Institute. He holds a Master’s degree in Architecture (MA) and a Ph.D. in Architectural Engineering from the University of Cyprus, focusing on hybrid bending-active structural systems. His research emphasizes Structural Design, Computational Methods, and BIM applications in heritage conservation. He contributes to projects like ENI-CBC-MED BEEP, RIF-UrbanPeriscope, and Horizon Infra, advancing BIM interoperability for cultural heritage data management. His professional experience includes architectural design and heritage retrofitting in Cyprus. At STARC’s Virtual Environments Lab (VElab), he develops BIM-based workflows to address data interoperability challenges in arts and humanities. Key projects include 'BIM to BPS interoperability' leadership in the BEEP Project and semantic data integration for Mediterranean heritage sites. His work bridges computational innovation with sustainable heritage preservation.

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Lisa Diveمشاهده پروفایل

مدرس ارشد

University of Technology SydneyAustralia

Dr. Lisa Dive is a Senior Lecturer in Genetic Counselling at the University of Technology Sydney's Graduate School of Health, where she teaches in the Master of Genetic Counselling program. Her research focuses on ethical considerations in genetics and genomics, particularly in reproductive health, public health, and clinical care intersections. Prior to joining UTS, she contributed to Mackenzie's Mission as a Postdoctoral Research Fellow in Bioethics at the University of Sydney, investigating large-scale reproductive genetic carrier screening across Australia. Dr. Dive holds an MPhil in Medicine (Bioethics) and PhD in Philosophy from the University of Sydney. Her research applies philosophical frameworks to resolve practical ethical challenges in healthcare contexts, specializing in genetic technologies and their societal implications. She has extensive experience developing ethical guidelines for clinical genomics and carrier screening programs. Her research elucidates normative concepts in bioethics through empirical studies of reproductive decision-making and screening implementation. Recent work examines severity assessment frameworks in carrier screening programs and ethical preparedness in genomic laboratories. Publications demonstrate consistent focus on justice considerations in information disclosure, stakeholder engagement models, and policy development for emerging genetic technologies.

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Patrik Benjaminsson Nybergمشاهده پروفایل

دانشیار مدعو

Linköping UniversitySweden

Patrik Benjaminsson Nyberg is an Adjunct Associate Professor at Linköping University's Department of Biomedical and Clinical Sciences (BKV), within the Division of Clinical Chemistry and Pharmacology (KKF). He focuses on interdisciplinary research at the intersection of forensic science, clinical pharmacology, and emergency medicine. His work includes developing AI-driven methodologies for solving crimes using postmortem metabolomics, predicting neurotoxicity from cancer treatments, and advancing rapid narcotics classification techniques. Research interests span emergency medicine innovations like hyperspectral imaging for triage optimization, forensic toxicology, and the application of machine learning in crime scene analysis. His team has secured significant grants, including SEK 13 million from the Swedish Research Council for AI-based forensic research. He is affiliated with the Emergency Medicine Research Center and collaborates on projects involving vascular calcification and ER stress responses in disease. Key Projects: Postmortem metabolomics AI systems, taxane neurotoxicity prediction tools Labs/Teams: Emergency Medicine Research Center, Haemostasis Research Group Grants: SEK 13M Swedish Research Council (2023), WCMM funding (2024)

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Kelly Aldrichمشاهده پروفایل

استاد

Vanderbilt UniversityUnited States

Kelly Aldrich, DNP, MS, RN, is a Professor and Director of Informatics Innovation at Vanderbilt School of Nursing with a secondary appointment in Biomedical Informatics. Board-certified in Nursing Informatics, she brings over 35 years of expertise spanning cardiac/trauma critical care, healthcare transformation leadership, and academic innovation. Dr. Aldrich holds a Doctor of Nursing Practice and MS in Healthcare Systems Leadership/Nursing Informatics from the University of South Florida. Her research focuses on: Healthcare interoperability and trusted data architectures Virtual environments for nurse well-being (MIND Lab) Unique nurse identifiers and digital RN citizen models Clinical informatics integration in operations and education Her recent publications emphasize nursing informatics education, AI in healthcare, interoperability frameworks, and pandemic-response technologies. Publication trends show growing focus on immersive learning technologies and systemic healthcare solutions. Significant honors include: Sara K. Archer Faculty Award (2023, 2021) Fellow, American Academy of Nursing (2022) Dean's Award for Informatics Achievement (2021) HIMSS Fellow She leads industry initiatives including HHS/ONC interoperability task forces, Baxter Healthcare Digital Health advisory, and CDC Healthcare Trust Data Platforms. Dr. Aldrich founded an informatics consulting firm and serves on multiple national cybersecurity and innovation committees.

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Hannah Worthingtonمشاهده پروفایل

مدرس

University of St AndrewsUnited Kingdom

Hannah Worthington is a Lecturer in Statistics at the University of St Andrews, affiliated with the Statistics Centre for Research into Ecological & Environmental Modelling. She holds a PhD in Statistical Development of Integrated Multi-State Stopover Models from the University of St Andrews (2016). Her research focuses on developing and applying statistical ecology methods to animal conservation and population management. Key interests include capture-recapture techniques, spatial capture-recapture, passive acoustic/visual monitoring, and workflow pipelines for new technologies. She also investigates public health issues such as antibiotic misuse in East Africa through mixed-methods approaches, linking multidimensional poverty to healthcare behaviors. Her work contributes to UN Sustainable Development Goals related to environmental protection and global health. Recent publications highlight her contributions to citizen science data analysis, spatial modeling bias reduction, and antibiotic resistance studies in East Africa. Her earlier work includes foundational research on hidden Markov models for birth cohort recruitment and therapy termination in clinical psychology. Scientific Awards: Conference Award (2012), Conference Award (2013) Summer Studentship (2009, 2010) Travel Bursary (2014) She actively participates in academic activities such as conferences (e.g., International Statistical Ecology Conference 2020) and public engagement (e.g., EXPLORATHON @ The Shops in 2023). Her research collaborations span institutions in East Africa (Kenya, Tanzania, Uganda) and Mongolia. She supervises postgraduate research students, offering projects on topics like movement ecology and statistical inference integration with machine learning. Hannah leads the development of statistical tools for ecological modeling, including a publicly available R package for seal population analysis (Zenodo, 2020). She collaborates with the HATUA Consortium on antimicrobial resistance research and maintains expertise in Hidden Markov Models and multidisciplinary data integration.

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Jamshed Anwarمشاهده پروفایل

استاد

Lancaster UniversityUnited Kingdom

Jamshed Anwar is Professor and Chair in Computational Chemistry at Lancaster University's Department of Chemistry, where he leads the Chemical Theory and Computation Research Group. His research spans computational chemistry, molecular simulation, and pharmaceutical sciences, with significant contributions to understanding molecular assemblies, nucleation processes, and drug delivery systems. His research interests focus on developing fundamental understanding of organic molecular assemblies through computer modeling and simulation. Key areas include self-assembly, phase transformations, crystal nucleation and growth (particularly how these processes can be modulated), nanocrystals, phase transformations in crystals, biological membranes, protein aggregation, and drug delivery systems. His work aims to develop predictive approaches for optimizing the macroscopic properties of chemical and pharmaceutical systems, reducing experimental effort through rational design. His recent publications demonstrate strong activity in computational pharmaceutical sciences, with research spanning molecular dynamics simulations of drug delivery systems, protein aggregation studies relevant to neurodegenerative diseases, force field development, and thermodynamic calculations of crystal properties. The research shows consistent focus on applying computational methods to solve pharmaceutical and materials science challenges. Jinnah Award 2009 Pfizer Award 1999 R. P. Scherer Award 1986 Fellow of the Royal Society of Chemistry Fellow of the Royal Pharmaceutical Society of Great Britain Fellow of Sidney Sussex College, University of Cambridge Visiting Professor of the Chinese Academy of Sciences Visiting Professor of the Shanghai Institute of Materia Medica Professor Anwar actively hosts academic visitors and participates in university events, as evidenced by his hosting of researchers like Jan Verlet, David Brook, and Eric Borguet between 2016-2022. His research group is multidisciplinary, welcoming researchers from chemistry, chemical engineering, physics, and pharmaceutical sciences backgrounds. He previously served as Director of Research for the School of Pharmacy at University of Bradford and has held positions at King's College London, University of Pennsylvania, AMOLF in the Netherlands, and Cambridge University. His laboratory, the Chemical Theory and Computation Research Group, focuses on molecular modeling of pharmaceutical systems, with particular emphasis on nucleation processes, membrane interactions, and drug delivery mechanisms. The group maintains strong international collaborations, as indicated by his visiting professorships in China and numerous co-authored publications with international researchers.

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Aman Russomمشاهده پروفایل

استاد

KTH Royal Institute of TechnologySweden

Aman Russom is a Professor in Clinical Microfluidics at KTH Royal Institute of Technology. His research group develops microfluidic technologies for point-of-care diagnostics, focusing on cell handling, analysis, and separation techniques for biomedical applications. The group works at the intersection of nanotechnology, fluid dynamics, and biomedical engineering to create advanced lab-on-chip systems. Research interests center on developing miniature laboratories for complex biochemical analyses, particularly for blood samples. Key areas include: Automated cell picking and separation techniques Elasto-inertial focusing of nanoparticles Acoustofluidic methods for environmental monitoring Diagnostic platforms for resource-limited settings Recent publications show strong trends in diagnostic microdevice development, with innovations in fiber-based systems, smartphone-integrated platforms, and multiplexed detection methods. Work consistently addresses clinical translation challenges through surface engineering, 3D tracking, and signal enhancement strategies. The group maintains active collaborations with clinical partners and focuses on creating real-world solutions for healthcare and environmental monitoring.

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Mitko Vetaمشاهده پروفایل

دانشیار

Eindhoven University of TechnologyNetherlands

Mitko Veta is an Associate Professor in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e), specializing in medical image analysis. His research focuses on developing deep learning methods for histopathology image analysis to enhance diagnostic accuracy and reduce pathologist workload. He leads the Medical Image Analysis group, contributing to automated quantitative tools for pathology reporting and treatment planning. Academic Background: Veta earned his M.Sc. in Electrical Engineering from Ss. Cyril and Methodius University (Macedonia, 2009), followed by a Ph.D. in histopathology image analysis at University Medical Center Utrecht (2014). He joined TU/e as a postdoc in 2014 and became an assistant professor in 2016, advancing to his current role in 2021. Research Interests: His work spans histopathology image analysis, deep learning, domain adaptation, and applications in oncology (e.g., breast cancer, melanoma). He develops algorithms for mitosis detection, tumor-infiltrating lymphocyte assessment, and AI-driven clinical decision support. Key contributions include the MIDOG++ dataset and the LYSTO benchmark. Projects: He co-leads the Spectralligence AI project (2021–2024), focusing on AI-driven medical imaging solutions. His research addresses clinical challenges like myocardial scar quantification and checkpoint inhibitor treatment outcomes. Teaching: Veta teaches courses such as Machine Learning in Medical Imaging and Biology and AI for Medical Image Analysis , emphasizing practical applications of AI in healthcare.

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Christina Boucherمشاهده پروفایل

دانشیار

University of FloridaUnited States

Dr. Christina Boucher is an Associate Professor in the Department of Computer and Information Science and Engineering at the University of Florida. Her research focuses on bioinformatics, with a particular emphasis on developing algorithms and software for genomic data analysis, antimicrobial resistance monitoring, and metagenomics. She is known for her contributions to succinct data structures and alignment methods, and her work on tools like MEGARes and AMRPlusPlus has significantly impacted antibiotic resistance classification. Dr. Boucher holds a Ph.D. from the University of Waterloo, where she was supported by prestigious awards including the Google Anita Borg Memorial Scholarship and NSERC Fellowships. Her research interests span computational genomics, algorithm design, and software development for high-throughput sequencing. She has pioneered methods for pangenome indexing, long-read haplotype reconstruction, and portable metagenomics analysis. Dr. Boucher actively promotes diversity in bioinformatics through her roles on committees such as the NSF Research Traineeships Program advisory board and the University of Florida’s Implicit Bias committee. Key Awards: ESA 2016 Best Paper Award, NSERC Doctoral Award, Google Anita Borg Memorial Scholarship Software Contributions: MEGARes, AMRPlusPlus, METAMarc, Moni Professional Roles: NIH BDMA Study Section Standing Member, Board Member of SIG BIO Dr. Boucher’s publications reflect a blend of algorithmic innovation and applied genomic research. Recent work addresses challenges in portable sequencing device security, resistome-mobilome colocalization detection, and high-accuracy assembly polishing. Her interdisciplinary collaborations span microbiology, veterinary medicine, and clinical sciences, underscoring the translational impact of her computational approaches. Her teaching and mentorship efforts focus on curriculum development and fostering inclusive environments in STEM. She has been a key figure in advancing computational tools for antimicrobial resistance monitoring and has contributed to NIH-funded initiatives aimed at improving antibiotic therapy through causal modeling techniques.

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Katerina Vrotsouمشاهده پروفایل

دانشیار

Linköping UniversitySweden

Katerina Vrotsou is an Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Media and Information Technology (MIT) division. Her research focuses on visual analytics, climate adaptation, and generative AI applications in energy systems. She leads projects exploring synthetic data for sustainable housing and AI-driven climate adaptation strategies. Her work emphasizes interdisciplinary collaboration between basic and applied research. Key research areas include: Information visualization for complex data analysis Volunteered geographic information (VGI) integration for disaster management Interactive digital environment design Human factors in air traffic control decision-making Her recent publications (2023-2025) highlight advancements in: Real-time decision support interfaces Impact-based weather warning systems AI applications for urban climate adaptation Dr. Vrotsou's research contributes to both technical innovations (e.g., novel visualization tools) and societal challenges (e.g., climate resilience strategies).

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Benjamin Ezeمشاهده پروفایل

استاد مدعو

University of OttawaCanada

Benjamin Eze is a part-time and adjunct professor at the School of Engineering Design and Teaching Innovation within the University of Ottawa . He holds a PhD in Digital Transformation and Innovation, an MSc in Electronic Business Technologies, and a BSc in Computer Engineering. Professionally, he serves as Lead Architect at Next Pathway Inc. and Business Intelligence Partner with Champlain Ontario Health at Home. Education: PhD – Digital Transformation and Innovation (University of Ottawa) MSc – Electronic Business Technologies (University of Ottawa) BSc – Computer Engineering Benjamin specializes in Big Data Analytics , Healthcare Data Privacy , Cloud Computing , and AI in Software Engineering . His work bridges technology and healthcare, focusing on secure data integration and digital transformation. Scientific Awards: Holds two patents in Canada and the United States Benjamin's research spans healthcare data governance, cloud infrastructure (DevOps, DevSecOps), and privacy-preserving technologies. His publications emphasize systematic approaches to data anonymization, cloud-based healthcare monitoring, and ethical AI frameworks. He teaches in upskilling programs at the University of Ottawa’s Professional Development Institute, FxInnovation, and CENGN CloudCampus DevOps programs, while collaborating with organizations like Cisco, Montfort Hospital, and Accreditation Canada.

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Annika Bergquistمشاهده پروفایل

استاد

Karolinska InstitutetSweden

Annika Bergquist is a Professor of Gastroenterology with a focus on Hepatology at the Department of Medicine, Huddinge, Karolinska Institutet. As a Senior Physician, she leads the Annika Bergquist research group, specializing in autoimmune liver diseases, particularly primary sclerosing cholangitis (PSC) and bile duct cancer. Her work bridges clinical practice, translational research, and epidemiology, addressing disease mechanisms, diagnostic tools, and treatment strategies. Education & Academic Roles : - PhD in Medicine (2001), Karolinska Institutet - Docent (2007), Karolinska Institutet - Medical Degree (1992), Karolinska Institutet Research Focus : Her research centers on PSC, investigating its link to inflammatory bowel disease (IBD), malignancy risks (cholangiocarcinoma, colorectal cancer), and biomarkers for disease progression. She leads international collaborations, including the PiSCATIN statin trial and the Scandinavian PSC Biobank. Grants & Collaborations : - Swedish Cancer Society grant (2023) for liver cancer research - Swedish Research Council grants (2022, 2024) for PSC studies - Collaborations with SWEHEP, IPSCSG, and the Norwegian PSC Research Center Advising : Supervised over 15 PhD/Master’s students since 2018, focusing on PSC comorbidities, biomarkers, and clinical trials. Labs/Teams : The Annika Bergquist group includes researchers, statisticians, and clinicians, with projects on PSC immunobiology, diagnostic algorithms, and patient outcomes.

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Weiqiang Zhuمشاهده پروفایل

استادیار

University of California, BerkeleyUnited States

Weiqiang Zhu is an Assistant Professor at the University of California, Berkeley, specializing in earthquake physics and geophysical signal analysis. His research integrates machine learning, deep learning, and cloud computing to analyze large seismic datasets, focusing on understanding complex earthquake sequences, fault zone structures, and subsurface processes like fluid migration and volcanic unrest. He develops advanced computational methods such as neural operators and physics-informed models to improve seismic inversion, earthquake simulation, and early warning systems. Key contributions include the development of tools like PhaseNet for seismic phase picking, QuakeFlow for scalable earthquake monitoring, and DeepShake for shaking intensity prediction. His work bridges artificial intelligence with geophysical applications, emphasizing high-resolution earthquake cataloging and fault zone mechanics. Collaborative projects include imaging fault zones using fiber optics and studying magmatic systems beneath Hawaii. Zhu’s research also explores the interplay between fluid dynamics and seismic activity, particularly in simulating earthquake sequences with inertia, viscoelasticity, and fault zone fluid migration. He advocates for open-source tools, contributing datasets like the STanford EArthquake Dataset (STEAD) to advance AI-driven seismology.

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