جست‌وجوی استاد و پژوهشگر

Jeffrey H. Siewerdsenمشاهده پروفایل

استاد

• Medical Imaging
• Image-Guided Surgery
• Surgical Robotics
• +۳ مورد دیگر

Jeffrey H. Siewerdsen, PhD, holds the John C. Malone Professorship in Biomedical Engineering at Johns Hopkins University, with joint appointments in Computer Science, Neurosurgery, and Radiology. As Vice-Chair for Clinical and Industry Collaboration, he bridges engineering, physics, and clinical practice to advance medical imaging technologies. His research focuses on image-guided interventions, surgical robotics, and CT innovations for radiation therapy and orthopedics. He leads the I-STAR Lab and collaborates with clinicians to translate imaging systems into clinical practice. Education: PhD in Physics (University of Michigan, 1998), MS in Physics (1994), BA in Physics & Astronomy (University of Minnesota, 1992). Research emphasizes 3D imaging systems, metal artifact reduction, and AI-driven reconstruction. He co-directs the Carnegie Center for Surgical Innovation and contributes to the Armstrong Institute for Patient Safety. Notable achievements include pioneering cone-beam CT (CBCT) for radiation therapy and intraoperative imaging. His work addresses clinical challenges through interdisciplinary collaboration. Awards and recognition include leadership in medical imaging societies and over 350 publications. His lab develops cutting-edge tools for surgical navigation, radiation oncology, and musculoskeletal imaging, with a focus on real-time 3D reconstruction and deformable motion correction. Labs/Teams: I-STAR Lab (Imaging Science for Technology and Applications in Research), Carnegie Center for Surgical Innovation.

Maia Jacobsمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Health Technology Design
• Behavioral Science
• +۳ مورد دیگر

Maia Jacobs is an Assistant Professor of Computer Science and Preventive Medicine at Northwestern University. Her research focuses on human-centered computing to design health technologies that adapt to longitudinal health needs. She holds a Ph.D. in Human-Centered Computing from Georgia Institute of Technology and a B.S. in Industrial and Systems Engineering from the University of Wisconsin-Madison. Her work emphasizes user-centered design principles to create equitable and adaptive health interventions. Key research areas include wearable health tools, voice assistants for mental health, telehealth cancer care, and AI integration in healthcare workflows. She collaborates with low-income communities and informal caregivers to ensure technologies address real-world healthcare challenges. Recent publications explore AI-physician collaboration in oncology, burnout support for frontline workers, and ethical design of voice-assisted mental health services. Her projects often involve co-design with marginalized groups to promote health equity. Jacobs’ interdisciplinary approach bridges computer science, behavioral science, and clinical practice to advance personalized healthcare solutions.

Hankui Zhangمشاهده پروفایل

دانشیار

• Remote Sensing
• Environmental Monitoring
• Deep Learning
• +۴ مورد دیگر

Hankui Zhang is an Associate Professor in the Department of Geography and Geospatial Sciences at South Dakota State University (SDSU), and a Research Scientist at the Geospatial Sciences Center of Excellence. He holds a Ph.D. from the Chinese University of Hong Kong (2013), specializing in satellite image fusion. His research focuses on developing algorithms for medium-resolution satellite data processing (e.g., Landsat and Sentinel-2), including cloud masking, BRDF correction, and compositing. He also explores AI applications in remote sensing for land cover mapping and environmental monitoring. As a Landsat Science Team member, he contributes to global remote sensing initiatives. Education: B.S. in Geographic Information Systems, Zhejiang University (2007) M.S. in Remote Sensing, Zhejiang University (2010) Ph.D. in Geography and Resource Management, Chinese University of Hong Kong (2013) Research Interests: Deep learning applications in remote sensing, land cover dynamics, analysis-ready data development, and geospatial data harmonization. His work emphasizes operationalizing satellite data for environmental decision-making. Grants & Awards: Over $2.5M in grants as PI/co-PI, including USDA and NASA-funded projects. Notable awards include the SDSU Wadsworth Research Award (2020-2021) and the Global Scholarship for Research Excellence from CUHK (2011-2012). Professional Roles: Editorial board member for Remote Sensing of Environment and Remote Sensing ; guest editor for special issues on deep learning in remote sensing. Top 20 reviewer for Remote Sensing of Environment (2020, 2022-2024). Key Contributions: Published over 70 SCI papers, developed cloud detection algorithms (e.g., LANA), and pioneered analysis-ready data workflows for global monitoring. His work bridges satellite data science with practical environmental applications.

• Biomedical Engineering
• Electrical Impedance Tomography (EIT)
• Medical Device Design
• +۶ مورد دیگر

Professor Alistair McEwan, affiliated with the University of Sydney's School of Biomedical Engineering, specializes in biomedical devices and instrumentation for neurological and cardiovascular diagnostics. As the Cerebral Palsy Chair of Technology and Engineering and Associate Head (External Engagement), he focuses on low-cost medical solutions for resource-limited settings, including neonatal care and stroke detection. His research bridges biophysics and clinical translation, with applications in electrical impedance tomography, wearable sensors, and neuroprosthetics. PhD from University of Oxford Member of the Sydney Nano Institute, Brain and Mind Centre, and Charles Perkins Centre His work explores how tissue electrical properties can enhance understanding of neural signaling and implant design. Clinical collaborators include the Bill & Melinda Gates Foundation for newborn nutrition monitoring. Recent projects involve AI-assisted critical care modeling, bionic devices for stress measurement, and adaptive control systems for neonatal resuscitation equipment.

Edoardo Serraمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۵ مورد دیگر

Edoardo Serra is an Associate Professor in the Department of Computer Science at Boise State University (BSU), a role he has held since July 2021. He previously served as an Assistant Professor at BSU from 2015 to 2021 and holds a joint appointment as a Senior Researcher at Pacific Northwest National Laboratory (PNNL) since June 2021. Since January 2023, he has co-directed the Computing Ph.D. Program at BSU and serves as General Chair of the 2024 ACM CIKM Conference. His academic journey includes a Ph.D. in Computer Science Engineering from the University of Calabria, Italy (2012), followed by postdoctoral positions at the University of Calabria and the University of Maryland. He also served as a Visiting Researcher at UCLA (2010–2011). His research focuses on AI/ML applications in cybersecurity, graph representation learning, generative AI, and robust AI systems. Notable projects include: NSF-funded cybersecurity curriculum integration Department of Defense-funded analysis of terrorist networks Idaho Department of Commerce precision agriculture initiatives Key research areas include graph neural networks, adversarial robustness, and ML-driven security solutions. His work has been recognized with awards such as Best Application Paper (2021) and Best Paper Award (2018). He actively contributes to professional service roles, including program chairs and editorial boards. Current projects emphasize AI ethics, generative models, and scalable graph algorithms. He advises on applied AI consulting for industry and government, focusing on model interpretability and cybersecurity implications.

Alexandre RENAUDمشاهده پروفایل

دانشیار

• Strategic Management
• Project Management
• Information Systems
• +۴ مورد دیگر

Alexandre Renaud is an Associate Professor of Strategy at EM Normandie since 2017. He holds a PhD in Management Science from Université Paris-Dauphine-PSL (2012), focusing on information systems reconfiguration projects. His professional experience includes roles at ESSCA (2014–2017) and ESCEM/France Business School (2011–2014). Research interests span strategic alignment, project management, information systems reconfiguration, and bibliometric methods. He has published extensively in journals like Systèmes d'Information & Management and M@n@gement , with a focus on business models, SME performance, and digital transformation. Key contributions include the ARTIREV bibliometric tool and analyses of entrepreneurial failure and NGO partnerships. His work bridges theoretical frameworks with practical applications in strategic management. Awards: None explicitly mentioned. Grants/Advising: Not detailed in provided text. Active in academic conferences (AIM, EURAM) and contributes to professional journals like Libération and The Conversation .

Wenqi Shiمشاهده پروفایل

استادیار

• Artificial Intelligence in Healthcare
• Precision Medicine
• Translational Medicine
• +۳ مورد دیگر

Dr. Wenqi Shi serves as an Assistant Professor at the Peter O’Donnell Jr. School of Public Health at UT Southwestern Medical Center. Her research focuses on the integration of artificial intelligence with healthcare, particularly advancing algorithms and systems for precision medicine. She specializes in working with multi-modal patient data including EHRs, medical notes, imaging, and genomics, with dedicated applications in pediatric healthcare, cancer, and rare diseases. Her research interests include developing large language models for translational medicine, creating agentic AI and generative models for biomedical discovery, and establishing responsible AI practices to enhance clinical outcomes. Publication trends show extensive work in explainable AI, clinical decision support systems, and multi-modal data integration, with recent emphasis on retrieval-augmented language models and causal inference methodologies. Dr. Shi obtained her Ph.D. from the Georgia Institute of Technology prior to joining UT Southwestern.

Wil van der Aalstمشاهده پروفایل

استاد

• Business Process Management
• Data Mining
• Simulation
• +۶ مورد دیگر

Wil van der Aalst is a full professor at RWTH Aachen University since 2018, leading the Process and Data Science (PADS) group. He serves as Chief Scientist at Celonis and is part-time affiliated with Fraunhofer FIT . Additional roles include deputy CEO of the Internet of Production Cluster of Excellence , co-director of the RWTH Center for Artificial Intelligence , and speaker of the RWTH ICT Profile Area . Previously, he led the Architecture of Information Systems group at Eindhoven University of Technology (TU/e) until 2017 and was a member of Tilburg University's Board of Governors (2015–2023). Research interests focus on process mining , business process management , Petri nets , and model-based analysis . His work bridges formal methods with real-world applications, influencing software development, standardization committees, and commercial tools like Celonis, SAP, and YAWL. Developed foundational WorkFlow nets (WF-nets) and soundness criteria for workflow modeling Pioneered the Workflow Patterns initiative (with Arthur ter Hofstede and Nick Russell), impacting process modeling standards Founded the YAWL open-source workflow system and ProM process mining framework Chaired steering committees for major conferences (Business Process Management, IEEE Task Force on Process Mining) Scientific honors include IEEE, ACM, and IFIP fellowships, the Alexander von Humboldt Award (2018), and memberships in prestigious academies such as Academia Europaea and the German Academy of Science and Engineering. He has an H-index of 182 (Google Scholar) and over 155,000 citations. He has served on the editorial boards of journals including Business & Information Systems Engineering , IEEE Transactions on Services Computing , and Transactions on Petri Nets and Other Models of Concurrency . He also co-founded the BPM User Group Foundation and led the Data Science Center Eindhoven (DSC/e) until 2017.

• Artificial Intelligence
• Recommender Systems
• Information Systems
• +۲ مورد دیگر

Dietmar Jannach is a Full Professor at the University of Klagenfurt, Austria, affiliated with the Institute for Artificial Intelligence and Cybersecurity where he leads the Research Group for Information Systems. His academic roles include membership in the university's Senate and Curricular Commissions for Liberal Arts and Information Management. His research spans: Core Areas : Artificial Intelligence, Recommender Systems, and Software Engineering. Methodological Focus : Algorithm reproducibility, fairness in AI, sequential recommendations, and hybrid learning models. Emerging Interests : Generative AI for group decision support, ethical recommender systems, and foundation model applications. Jannach's recent publications critically evaluate reproducibility challenges in AI research, advocate for calibrated recommendations to mitigate bias, and explore agentic paradigms in group recommender systems. He emphasizes real-world validation, with studies on deployment challenges and developer experiences in software processes. He actively contributes to academic governance and mentors through research groups, though specific student advisees are not listed. Contact via Dietmar.Jannach@aau.at .

Valerie Maier-Speredelozziمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Industrial Engineering
• Systems Engineering
• +۵ مورد دیگر

Valerie Maier-Speredelozzi is an Associate Professor in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island. She holds a Ph.D. in Mechanical Engineering from the University of Michigan (2003), with prior degrees in Industrial and Operations Engineering (M.S.E., 2001) and Mechanical Engineering (B.M.E., 1998). Her research bridges lean manufacturing, healthcare systems, and transportation engineering. Ph.D., Mechanical Engineering, University of Michigan, 2003 M.S.E., Industrial and Operations Engineering, University of Michigan, 2001 M.S.E., Mechanical Engineering, University of Michigan, 2001 B.M.E., Mechanical Engineering, Georgia Institute of Technology, 1998 Her work focuses on: Lean Manufacturing and Quality Assurance Human Factors in Industrial Systems Sustainable Supply Chain and Facility Location Transportation Safety and Dynamic Messaging Recent publications highlight trends in: Naval Engineering Education (2024) Healthcare Continuous Improvement (2016) Remanufacturing in SMEs (2016) Dynamic Message Sign Efficacy (2008–2011) Grants from the Office of Naval Research (2020–2021) support collaborations with UConn on safety and ergonomics in naval workforce development. She mentors graduate students and contributes to systems engineering pedagogy through workshops and project-based curricula.

Stefano Buosoمشاهده پروفایل

مدرس

• Biomedical Engineering
• Cardiovascular Modeling
• Computational Fluid Dynamics
• +۴ مورد دیگر

Dr. Stefano Buoso is a Lecturer at ETH Zürich's Department of Information Technology and Electrical Engineering, specializing in biomedical imaging and computational mechanics. His research focuses on cardiovascular modeling, fluid-structure interaction, and reduced-order modeling. He holds a position in the Professur für Biomedizinische Bildgebung (Biomedical Imaging Professorship). Key research areas include computational fluid dynamics applied to cardiovascular systems, development of machine learning tools for medical imaging (e.g., MRI and echocardiography), and creation of patient-specific numerical phantoms. His work bridges engineering and medicine, with applications in clinical diagnostics and personalized medicine. Recent articles emphasize innovations like automated 3D heart modeling from 2D echocardiography, synthetic MRI data generation, and turbulence analysis in aortic flow. He has developed open-source tools like CMRsim for cardiovascular simulations. Buoso collaborates on digital twin technologies for carotid artery disease assessment and fluid dynamics modeling of biological systems. His technical contributions include methods for rapid mesh generation, stabilized reduced-order models, and MRI-guided cardiac shape modeling. Research spans from microvascular neurovascular unit studies to bio-inspired membrane wing aerodynamics, reflecting interdisciplinary expertise.

Zeki Bayramمشاهده پروفایل

استاد

• Semantic Web Services
• Mobile Payment Systems
• XML-based Programming
• +۴ مورد دیگر

Prof. Dr. Zeki Bayram is a full Professor and current Chairman of the Computer Engineering Department at Eastern Mediterranean University (EMU). He has served as the founding chairman of the Internet Technologies Research Center (2006) and chaired the departmental ABET committee from 2010 to 2023. His academic contributions span semantic web services, mobile payment systems, and XML-based technologies. Founded Cybersoft Bilişim Teknolojileri Limited, a dormant software company in North Cyprus Active in academic service, including thesis supervision and editorial roles Teaches courses on programming languages, automata theory, and software tools Research focuses on semantic web service composition, secure payment schemes, and declarative programming paradigms. His work integrates logic programming, constraint solving, and ontology engineering. Prof. Bayram has published extensively in journals and conferences since the 1990s, with notable contributions to formal methods in service-oriented architectures.

Mounir El Asmarمشاهده پروفایل

دانشیار

• Construction Management
• Sustainable Engineering
• Project Delivery Systems
• +۳ مورد دیگر

Mounir El Asmar is an Associate Professor at Arizona State University’s School of Sustainable Engineering and the Built Environment in the Del E. Webb School of Construction. He is also a Senior Sustainability Scientist at the Julie Ann Wrigley Global Institute of Sustainability and an Honors faculty member at Barrett Honors College. Additionally, he serves as co-director of the National Center of Excellence on SMART Innovations. His roles emphasize leadership in sustainable engineering, project delivery systems, and infrastructure development. El Asmar holds a Ph.D., M.S., and B.E. in Civil and Mechanical Engineering from the University of Wisconsin-Madison and the American University of Beirut. His research focuses on decision-making in construction, innovative project delivery systems like Design-Build and Integrated Project Delivery (IPD), sustainable performance metrics, and infrastructure resilience. He has conducted research for the U.S. Department of Transportation, the Construction Industry Institute, and global organizations. His work has been recognized with over 25 awards, including the CII Distinguished Professor Award, ASCE’s Thomas Fitch Rowland Prize, and the DBIA Distinguished Leadership Award. He has led funded projects on topics like EVMS reliability, public-private partnerships, and sustainable construction practices. El Asmar also chairs major conferences, such as the 2020 ASCE Construction Research Congress, and serves on editorial boards for journals like the ASCE Journal of Construction Engineering and Management. He advises Ph.D. students and teaches courses on construction engineering, sustainable practices, and project management. His research integrates technology like augmented reality (AR) to enhance communication and quality control in construction sites. He actively bridges academic research with industry needs through workshops, policy development, and community engagement. Key affiliations include the Global Futures Scientists and Scholars program, the Transportation Research Board, and the Design-Build Institute of America. El Asmar’s contributions span education, research, and service, reflecting ASU’s New American University mission of innovation and societal impact.

Yalong Yangمشاهده پروفایل

استادیار

• Immersive Analytics
• Virtual Reality
• Data Visualization
• +۳ مورد دیگر

Yalong Yang is an Assistant Professor at the School of Interactive Computing at Georgia Institute of Technology. His research focuses on immersive analytics, virtual reality (VR), and augmented reality (AR) interfaces, with a particular emphasis on spatial interaction, hybrid user interfaces, and data visualization techniques. He explores how embodied interactions and immersive environments enhance understanding in domains like education, sports analytics, and collaborative decision-making. Key research themes include hybrid immersive systems (combining VR/AR with physical devices), asymmetric collaboration in mixed environments, and AI-driven tools for programming education. His work spans both theoretical frameworks and applied systems, such as SPHERE for scalable personalized feedback in coding classrooms and VizGroup for collaborative learning analytics. Yang’s recent publications highlight trends in spatial hybrid interfaces, navigation in immersive environments, and the integration of generative AI in educational technologies. His projects often involve evaluating interaction techniques (e.g., label placement in AR) and comparing performance across desktop and VR platforms. Notable contributions include the SportsXR initiative for immersive analytics in sports, and systems like CompositingVis for creating complex visualizations in 3D spaces. His work addresses challenges in situated analytics, wearable technologies for outdoor activities, and audience analysis in VR exhibitions.

Vera Tilsonمشاهده پروفایل

دانشیار

• Healthcare Operations Management
• Operations Management
• Supply Chain Management
• +۳ مورد دیگر

Dr. Vera Tilson is an Associate Professor at the Simon Business School, University of Rochester, specializing in Healthcare Operations Management and Operations Management. Her research focuses on healthcare operations optimization, stochastic scheduling, and supply chain management. Prior to academia, she held roles as a software engineer and project manager in telecommunications, medical instrumentation, and finance. Her teaching interests include quantitative decision-making and healthcare operations, for which she received the MBA Superior Teaching Award in 2009. Her work bridges academic research with practical applications, addressing challenges such as patient no-show management, medication waste reduction, and healthcare GPO strategies. She has published extensively in journals like Management Science, MSOM, and Operations Research. Recent research explores emergency department workflow optimization, humanitarian supply chains, and real-time capacity management in healthcare settings. Her contributions highlight interdisciplinary approaches combining operations research, data science, and healthcare analytics.