جستجوی استاد راهنمای دانشگاهی

• Data Mining
• Privacy-Preserving Computation
• Artificial Intelligence
• +۳ مورد دیگر

Onur KARDEŞ serves as Assistant Professor in the Department of Computer Engineering at Beykent University's Faculty of Engineering and Architecture since 2020. His prior academic appointments include: Research Assistant, Department of Computer Science, Stevens Institute of Technology (2004-2008) Lecturer, Department of Mathematics and Computer Science, Faculty of Arts and Sciences, Beykent University (2000-2004) His research integrates data mining, privacy-preserving computation, and artificial intelligence with practical applications in educational technology and urban systems. Key contributions include developing privacy-enhancing protocols for distributed data mining and pioneering generative AI solutions for automated student assessment and digital teaching assistants. Analysis of his 2023-2025 publications reveals accelerating focus on generative AI implementations, particularly in educational evaluation (automated examination paper analysis) and urban planning (AI-driven smart city frameworks). This evolution demonstrates strategic adaptation to emerging technologies while maintaining core expertise in secure computation and data mining.

• Wastewater Treatment
• Process Control
• Mathematical Modeling
• +۶ مورد دیگر

John Copp is an Adjunct Assistant Professor in the Department of Computing and Software at McMaster University , specializing in wastewater treatment modeling and process control. His work bridges environmental engineering with computational methods, focusing on simulation benchmarks, digital twin applications, and real-time monitoring systems. Adjunct Assistant Professor, Computing and Software, McMaster University Research Interests include: Wastewater treatment process modeling Respirometry-based control strategies Digital twin development for water resource recovery Automation and fault detection systems Biological nutrient removal optimization His scholarly output spans over 25 years with notable trends in: Development of benchmark simulation models (BSM1, BSM2) Integration of anaerobic digestion with activated sludge processes Multi-biomass modeling for enhanced nutrient removal Machine learning applications in water quality monitoring

Alan Wassyngمشاهده پروفایل

استاد

• Software Engineering
• Formal Methods
• Safety-Critical Systems
• +۶ مورد دیگر

Alan Wassyng is a Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. With over four decades of academic contributions, he specializes in formal methods, safety-critical systems, and software assurance cases. Key research intersections: Automotive software safety Medical device software certification Cyber-physical systems engineering Model-driven development with domain experts His scholarly work emphasizes rigorous methodologies for software verification, particularly through tabular expressions and Workflow+ models. Recent projects include a $2M GM Canada partnership to advance automotive safety systems. Teaching leadership spans interdisciplinary capstone projects in biomedical engineering, covering software design, safety-critical development, and mechatronics applications.

Wogene Berhanu Menaمشاهده پروفایل

پژوهشگر

• Diversity Management in Organizations
• Intersectionality Research
• Conflict Management
• +۴ مورد دیگر

Wogene Berhanu Mena is a teaching and research assistant (prae doc) at the Institute for Gender and Diversity in Organizations at WU Vienna University of Economics and Business. His academic background includes BA/MA degrees in Political Science and International Relations from Addis Ababa University (Ethiopia) and an MA in Intercultural Conflict Management from Alice Salomon University of Applied Sciences Berlin. Current focus on diversity management through ethnic/gender/religious/class intersections Active in refugee integration and conflict management research Recipient of WU SoTL Scholarship and Civil Society Leadership Award His work examines labor control regimes in Ethiopian industrial parks and social class impacts on student interactions , with fieldwork-based publications on Eritrean/Somali refugee communities in Ethiopia. Research trends combine qualitative case studies and theoretical frameworks from organizational sociology, African studies, and migration research. Scientific Awards WU Scholarship for Teaching and Learning (SoTL), 2023 Civil Society Leadership Award, 2019

Derek L. Isenbergمشاهده پروفایل

استاد

• Emergency Medicine
• Neurologic Emergencies
• Pre-hospital Medicine

Derek L. Isenberg, MD , is a Professor of Emergency Medicine at the Lewis Katz School of Medicine at Temple University. His clinical and research expertise spans neurologic emergencies and pre-hospital medicine, with a focus on optimizing emergency care delivery. Education : MD from Tulane University School of Medicine; MS from the University of Maryland, Baltimore Training : EMS Fellowship at Yale-New Haven Hospital; Emergency Medicine Residency at Drexel University College of Medicine Certifications : Board-certified by the American Board of Emergency Medicine Dr. Isenberg's research emphasizes neurologic emergencies and prehospital care , with publications centered on case studies in Visual Journal of Emergency Medicine and American Journal of Emergency Medicine . His work explores trauma immobilization protocols, acute pain management, and cardiac device-related emergencies. He has received the Mercy Attending Teaching Award (2013) for his contributions to medical education. At Temple University Hospital - Main Campus, Dr. Isenberg provides clinical care while advancing training for paramedics and emergency physicians. His recent publications highlight practical challenges in emergency diagnostics, including imaging techniques, symptom analysis, and patient safety in prehospital settings. Scientific Awards : Mercy Attending Teaching Award, Mercy Catholic Medical Center (2013)

• Bayesian Statistics
• Reliability Engineering
• Risk Analysis
• +۴ مورد دیگر

Ahmad BahooToroody is an Academy Research Fellow at Aalto University’s Department of Energy and Mechanical Engineering, specializing in Bayesian statistics, reliability engineering, and risk analysis for autonomous maritime systems. He is actively involved with the Marine and Arctic Technology research group and leads projects that integrate machine learning with safety-critical applications in the maritime and offshore sectors. Research Interests Bayesian statistical methods for reliability and risk modeling Machine learning and deep learning for anomaly detection in autonomous systems Safety assessment of offshore installations and maritime operations Prognostic health management of marine renewable energy systems Human factors and expert judgment in sociotechnical maritime systems His work often incorporates advanced techniques such as Gaussian processes, LSTM-based neural networks, and dynamic Bayesian networks to address uncertainties in complex engineering systems operating in harsh marine environments. Publication Trends Across 2022–2025, BahooToroody’s publications reveal a strong trajectory toward integrating data-driven models with physics-based simulations. Dominant themes include real-time risk monitoring of autonomous ships, failure prognosis for unattended machinery, and safety assessment frameworks for offshore structures. His collaborative outputs span high-impact journals such as Reliability Engineering & System Safety and Safety Science , underscoring his leadership in maritime safety analytics. Research Groups & Labs Marine and Arctic Technology Research Group, Aalto University Academy Research Fellow network within the Department of Energy and Mechanical Engineering Doctoral Supervision & Grants While specific grant details are not listed, his role as Doctoral Candidate Supervisor since 2020 indicates active mentorship of PhD researchers. He is also the Principal Investigator on projects funded under the Academy of Finland Fellowship scheme, supporting next-generation maritime risk analytics.

Patrick Praxمشاهده پروفایل

استادیار

• Game Design
• Sustainability
• Media Literacy
• +۱۱ مورد دیگر

Patrick Prax is an Assistant Professor at the Department of Game Design, Uppsala University, specializing in participatory media and critical game studies. His research explores co-creation in digital games as alternative media, focusing on systemic sustainability, cultural heritage preservation, and social justice frameworks within gaming ecosystems. PhD in Media Studies (Uppsala University, 2016) Co-chair, Game Studies Working Group at NordMedia Board member, Cultural Heritage Incubator (Swedish National Heritage Board) Key research areas include: Political economy critiques through game mechanisms (e.g., loot boxes) Reflexive approaches to digital game preservation Esports culture and leadership dynamics Media literacy and civic engagement through gaming Recent publications examine sustainability integration in game education, systemic issues in game monetization, and community-driven adaptations of Warhammer 40k. He actively engages with public discourse through TEDx talks, national media appearances (TV4, UNT24), and policy advisory roles.

Angelos Georghiouمشاهده پروفایل

دانشیار

• Stochastic Optimization
• Robust Optimization
• Operations Management
• +۴ مورد دیگر

Angelos Georghiou is an Associate Professor of Operations Management at the Department of Business and Public Administration, University of Cyprus. He previously held academic positions as Assistant Professor at McGill University (2016–2019), Post-Doctoral Researcher at MIT (2012–2013), and Postdoctoral Researcher at ETH Zurich (2013–2016). His work bridges computational methods in stochastic and robust optimization with applications in healthcare, energy systems, and operations management. Ph.D. in Operations Research, Imperial College London (2012) M.Sci. in Mathematics, Imperial College London (2008) His research focuses on stochastic optimization , robust optimization , and decision rules , addressing challenges in healthcare analytics , energy-efficient control systems , and machine learning integration . Recent publications in Management Science and Operations Research highlight his contributions to decision-dependent information discovery and computational frameworks. Key trends in his 15 most recent articles include: Advancing robust optimization techniques for multistage problems Applications in healthcare (psychiatric risk prediction) and energy systems Integration of machine learning with stochastic programming Development of tractable algorithms for complex decision environments Scientific Awards : Esdras-Minville Best Student Paper Award (2023) He serves on editorial boards of Operations Research Letters (Area Editor) and Management Science , and collaborates with institutions like MIT, ETH Zurich, and McGill University. His work with undergraduate students includes a 2021 paper in SIAM Undergraduate Research Online .

• Critical Care Medicine
• Risk Prediction in ICU
• Chronic Critical Illness
• +۴ مورد دیگر

Jason Shahin is an Assistant Professor at the Department of Medicine , Faculty of Medicine and Health Sciences , McGill University . He serves as an Investigator at the Research Institute of the McGill University Health Centre (RI-MUHC) , specifically within the Translational Research in Respiratory Diseases Program . His academic and clinical work bridges critical care medicine and respiratory medicine at the McGill University Health Centre (MUHC) . Research Focus: Dr. Shahin specializes in risk prediction in intensive care units (ICU) , with particular emphasis on prediction tools for complex populations , including the chronic critically ill and potential organ donors . His work integrates clinical data science with translational approaches to improve ICU outcomes. Article Trends: His publications span critical care medicine , sepsis , mechanical ventilation , and organ donation . Recent studies focus on machine learning applications , probiotics in infection prevention , and blood conservation strategies in ICU settings. Key Collaborations: He contributes to large-scale trials like the LOVIT , PROSPECT , and FORECAST studies, collaborating with networks such as the Canadian Critical Care Trials Group and REVA Network .

Arianna Bisazzaمشاهده پروفایل

دانشیار

• Natural Language Processing
• Multilingualism
• Low-resource Language Modeling
• +۷ مورد دیگر

Arianna Bisazza is an Associate Professor in the Computational Linguistics Group at the University of Groningen, where she leads the InClow research group focused on Interpretable, Cognitively inspired, Low-resource language models. Her work bridges computational linguistics, cognitive science, and language acquisition to develop more robust and interpretable language processing algorithms that can adapt to diverse linguistic phenomena worldwide. Dr. Bisazza's research interests span statistical modeling of human languages in multilingual contexts, with particular focus on improving language model performance for "challenging" or low-resource languages. Her work explores how insights from human language acquisition can inform better language modeling techniques, and she investigates methods to make state-of-the-art NLP systems more interpretable and transparent. As a cross-disciplinary researcher, she actively seeks to enhance our understanding of human language processing and evolution through computational modeling tools. Her recent publications reveal a strong emphasis on multilingual evaluation frameworks (like TurBLiMP and MultiBLiMP), interpretability of language models, and connections between human language acquisition and neural network learning. Her work consistently addresses the challenge of making language technology more robust across diverse linguistic structures and typological features. Outstanding Paper Award at the BabyLM Challenge (CoNLL'24 Shared Task) for "BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency" Dr. Bisazza currently leads a Vidi project funded by the Dutch Research Council (NWO) on improving low-resource language modeling through child language acquisition insights. She is also part of two national consortium projects funded by NWA-ORC initiatives: InDeep (Interpreting deep learning models for language, speech & music) and LESSEN (Low Resource Chat-based Conversational Intelligence). She supervises multiple PhD students, including two China Scholarship Council (CSC)-funded researchers working on simulating human patterns of language learning and change. Her earlier research was supported by a Veni grant (2017-2021) focused on understanding and improving the encoding of linguistic structure in Neural Machine Translation models. As head of the InClow research group, Dr. Bisazza oversees a team investigating interpretable, cognitively inspired approaches to low-resource language modeling. The group's work combines insights from cognitive science and linguistics with cutting-edge NLP techniques to develop language models that better reflect human language processing capabilities, particularly in resource-constrained settings.

• Business Process Management
• Declarative Process Modeling
• Hybrid Process Notations
• +۵ مورد دیگر

Tijs Slaats is an Associate Professor in the Software, Data, People & Society section at the Department of Computer Science, University of Copenhagen. His research focuses on Business Process Management with particular emphasis on declarative and hybrid process notations to provide flexible workflow support for knowledge workers, funded by the Danish Council for Independent Research. His educational background includes: M.Sc. in Information Technology from IT University of Copenhagen Ph.D. in Computer Science from IT University of Copenhagen (supervised by Thomas Hildebrandt) Dr. Slaats specializes in declarative process modeling, particularly Dynamic Condition Response (DCR) graphs which enable flexible workflow systems. His work bridges theoretical foundations with practical applications in cross-organizational settings. Recent research extends into blockchain technologies, smart contracts, and applications in sensitive domains like asylum processing and refugee law. He combines formal methods with empirical evaluation to ensure both correctness and usability of workflow systems. His publication pattern shows increasing application of process mining techniques to blockchain technologies and socially impactful domains, while maintaining core research in Business Process Management. Notable trends include integration of DCR graphs with smart contracts, privacy-preserving techniques for asylum data, and object-centric approaches to process discovery. Research funding includes: Hybrid Business Process Management Technologies project (Danish Council for Independent Research) Technologies for Flexible Cross-organizational Case Management Systems (FLExCMS) industrial Ph.D. project Alongside his academic work, Dr. Slaats maintains strong industry connections through Exformatics A/S where he developed the DCR Graphs workflow solution (www.dcrgraphs.net), and previously worked as a software engineer in the Dutch e-commerce sector. His dual expertise in academia and industry ensures his research addresses real-world workflow challenges while maintaining theoretical rigor.

Vanessa M. Zayas-Colonمشاهده پروفایل

استاد

• Musculoskeletal Imaging
• Diagnostic Radiology
• Orthopedic Radiology
• +۳ مورد دیگر

Vanessa M. Zayas-Colon, M.D. is a Professor in the Department of Imaging Sciences at the University of Rochester School of Medicine and Dentistry. She is affiliated with UR Medicine Faculty Group and Accountable Health Partners, specializing in Musculoskeletal Imaging and Diagnostic Radiology. Education: MD from University of Puerto Rico School of Medicine Certifications: Lifetime certification in Diagnostic Radiology (American Board of Radiology) Research Interests: Dr. Zayas-Colon focuses on musculoskeletal imaging, including trauma, orthopedic, and rheumatologic conditions. Her work emphasizes cost-effective imaging strategies, MRI/ultrasound applications, and early detection of chronic diseases via radiological analysis. Publication Trends: Recent articles highlight her expertise in musculoskeletal diagnostics, covering topics like rotator cuff injuries, gout, hip arthroplasty, and inflammatory myopathies. Keywords include radiology, MRI, ultrasound, and rheumatologic imaging. Scientific Awards: ASER 2023 Top Eight Case of the Day ARRS 2022 Certificate of Merit Fellow of the American College of Radiology (2021) ICARE Strong Star (2020) RSNA Certificate of Merit (2017, 2005, 2001) On-Time Doctor Award (2014) Patients' Choice Award (2014) ARRS Bronze Medal (2002) Additional Contributions: Dr. Zayas-Colon has authored anatomical charts and educational modules, contributing to medical education and radiology training programs.

• Congenital Heart Disease
• Adult Congenital Heart Disease
• Cardiovascular Imaging
• +۵ مورد دیگر

Chessa Massimo is a Professor at Università Vita-Salute San Raffaele, specializing in Cardiovascular Diseases within the field of Congenital Heart Disease. His work spans clinical research, interventional cardiology, and medical education, with a particular focus on adult congenital heart disease and transition care for adolescents. Research Interests Dr. Chessa's research explores: Interventional catheterization techniques for congenital heart defects Transition strategies for adolescent CHD patients 3D printing and mixed reality applications in cardiac anatomy Heart failure management in CHD populations Hypertension in pediatric and adult CHD patients Scientific Awards Fellow, European Society of Cardiology (2015-2018) Fellow, Association for European Paediatric and Congenital Cardiology (2014-2017) Fellow, ERN GUARD-Heart European Reference Network Teaching Activities Current teaching roles include: Cardiovascular System Diseases 3 (International MD Program, 2025) Keep Calm and Be Systematic: Practical Approach to Cardiology (2025)

• Mental Health
• Open Dialogue
• Nursing Education
• +۴ مورد دیگر

Andrea McCloughen is an Associate Professor in Mental Health Nursing and Director Academic Education at the Susan Wakil School of Nursing and Midwifery, University of Sydney. She holds a PhD from University of Western Sydney and is a respected researcher and clinician in mental health nursing, with expertise in Open Dialogue, emotion regulation, and healthcare education. Her leadership roles include Director Postgraduate Advanced Studies and Coordinator of Mental Health Nursing programs. She is a Fellow of the Australian College of Mental Health Nurses and Senior Fellow of Advance HE. Education: PhD (UWS), MN (Mental Health) (UWS), BN (UWS) Certifications: Credentialled Mental Health Nurse, Open Dialogue Therapist, Mental Health First Aid Instructor Research focuses on Open Dialogue practices, mental health service innovations, and healthcare student education. Key projects include implementing Open Dialogue in schools and mental health systems, and examining physical health management in mental health populations. Teaching contributions span undergraduate and postgraduate nursing programs, emphasizing recovery-oriented care and advanced practice roles. She has led multiple educational grants totaling over $100k, including innovations in clinical debrief models and cooperative learning with mental health consumers. Awarded over a dozen honors including the Makers and Shapers Award (2023) and multiple Best Paper awards. Supervised 12+ HDR students, with active projects on emergency nursing protocols and Open Dialogue impacts. Collaborates internationally, particularly with Danish researchers on physical health in schizophrenia.

Niels Henrik Mortensenمشاهده پروفایل

استاد

• Product Architecture
• Modularization
• Maintenance Performance
• +۳ مورد دیگر

Niels Henrik Mortensen is a Professor and Head of Section in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on engineering design and manufacturing systems, with emphasis on product architecture, modularization, maintenance performance, and AI-driven design solutions. He leads initiatives in engineer-to-order systems, lifecycle costing, and digital transformation in manufacturing. Key research interests include optimizing product architectures for modular systems, enhancing maintenance strategies through data analytics, and applying AI to improve CAD design reuse. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure, and sustainable energy systems. Supervisor for 5 active PhD projects focused on modular architectures, logistics services, and configuration systems Published 175+ peer-reviewed articles, including work on AI-based maintenance frameworks and configurator development Recipient of industry collaboration projects with offshore energy and manufacturing sectors Notable contributions include frameworks for maintenance performance diagnostics and adaptable configuration models. His team operates through MEK and CONSTRUCT research groups at DTU.