Find Academic Supervisors

• Management Studies
• Economics
• Organizational Behavior
• +4 more

Pauli Pakarinen is an Academy Research Fellow at the Department of Management Studies, Aalto University. His research focuses on organizational theory, regulatory policy, and the intersection of technology with work and society. He holds a Doctoral Thesis from Aalto University (2019) titled Essays on Economic Rationalities , exploring central banking and economic decision-making frameworks. His work bridges economics, management studies, and social sciences, addressing topics like AI limitations, data work practices, and the theoretical pluralism in professions. Key research interests include: Professions and organizational behavior Regulatory failures and institutional imprinting Artificial intelligence's societal impacts Data-driven work environments Notable projects include the ongoing Work, Technology, and Organizational New Constellations (2024–2028), a comparative field study examining work in data-intensive contexts. His articles have explored themes such as 'relational expertise' and the challenges of theoretical coherence in professional studies.

• Neurosurgical Anesthesiology
• Neurocritical Care
• Intraoperative Monitoring
• +4 more

Dr. Andres Brenes Bastos is an Assistant Professor of Clinical Anesthesiology and Director for Quality and Safety at Yale School of Medicine's Division of Adult Multispecialty Operative Anesthesia. He completed his Anesthesiology residency at Universidad de Costa Rica (2014, Magna Cum Laude) and held leadership roles including Clinical Director of Anesthesia at Hospital de Upala, Costa Rica. He holds certifications from the Colegio de Medicos y Cirujanos de Costa Rica and completed Neurosurgical Anesthesiology and Neurocritical Care fellowships at Harvard Medical School/BIDMC. His research focuses on neurocritical care, intraoperative monitoring for complex surgeries, and optimizing anesthetic techniques for cerebrovascular patients. Key interests include cerebral vasospasm management, sepsis-induced brain dysfunction, and mitigating perioperative risks like acute kidney injury and stroke. Recent publications explore propofol-based anesthesia outcomes, adaptive ventilation strategies in ARDS, and robotic-assisted diagnostics for cerebral vasospasm. His work emphasizes translational research bridging clinical practice and advanced monitoring technologies. No specific awards are listed, though his leadership roles reflect professional recognition.

• Pediatric Neuro-Oncology
• Adolescent and Young Adult (AYA) Oncology
• Virtual Reality in Healthcare
• +3 more

Asher Marks, MD, is an Associate Professor of Pediatrics (Hematology/Oncology) at Yale School of Medicine and Director of Pediatric Neuro-Oncology and the Adolescent and Young Adult (AYA) Cancer Program at Yale New Haven Children’s Hospital. His work focuses on improving outcomes for AYA patients with brain tumors and leveraging immersive technologies like virtual reality (VR) to enhance supportive care. He holds board certification in Pediatric Hematology-Oncology. Education & Training: MD, Temple University School of Medicine (2006) BS, Pennsylvania State University (2002) Residency and Fellowships at Children’s National Medical Center (2009–2013) Research Interests: Dr. Marks investigates disparities in cancer care, innovative digital tools for patient engagement, and molecular diagnostics in pediatric brain tumors. He leads clinical trials addressing unmet needs in AYA oncology, including studies on targeted therapies and proton therapy outcomes. Publications & Trials: His recent work includes studies on VR disinfection protocols, social determinant data integration in trials, and radiation necrosis in rare syndromes. He is Principal Investigator on trials evaluating novel therapies for gliomas and hematologic malignancies. Awards: Recognized in the 2024 ‘Top Doctors’ List by Yale Medicine. Clinical Contributions: Co-founded the Lauren Telesz/Smilow Teen Center to provide peer support for AYA cancer patients. Active in developing guidelines for XR applications in pediatric care and addressing infection control in NICUs.

• Cyber-physical/Embedded Systems
• Systems Biology
• Hybrid Systems
• +4 more

Thao Dang is a Researcher and CNRS Research Director (DR1) at Verimag, part of Université Grenoble Alpes. Her work focuses on Cyber-physical/Embedded Systems, Hybrid Systems, Formal Verification, and Control Synthesis. She leads projects like CyPhAI (Formal design methods for AI-intensive Cyber-Physical Systems) and DAMON (Data-based Anesthesia Monitoring). Dang has advised numerous PhD students, including Ana-Maria Gomez Ruiz and Alexandre Donzé. She co-chairs conferences like RV'22 and serves as an Associate Editor for journals like Nonlinear Analysis: Hybrid Systems. Her research bridges theoretical foundations with practical applications in robotics, circuit validation, and systems biology. Education: PhD in 2000 from INPG, Diplôme d'Ingénieur from ENSIEG (Ecole Nationale Supérieure d'Ingénieurs Electriciens). Previous Employment: Postdoctoral research at the University of Pennsylvania (2001). Teaching: Courses on Feedback Control and Real-Time Systems (MOSIG, UGA since 2018) and embedded control systems using LEGO robotics. Key contributions include NLToolBox (reachability algorithms) and HTG (hybrid systems test generation). She coordinates projects funded by ANR, JST CREST, and industry partners like Bosch and Toyota.

• Sustainable Everyday Practices
• Energy Consumption
• Mobility Studies
• +5 more

Toke Haunstrup Bach Christensen is a Senior Researcher at Aalborg University's Department of the Built Environment within the Faculty of Engineering and Science. He is affiliated with the Sustainable Cities and Everyday Practice Research Group and the Center for Design, Innovation and Sustainable Transitions. His research focuses on sociotechnical systems, sustainable everyday practices, energy consumption patterns, and mobility transitions. Key projects include the DECODIT initiative on citizen empowerment for twin transitions, the RESPOND study on pandemic impacts, and the GECKO project on responsible AI co-creation. His work addresses intersections between household practices and sustainable development goals, particularly in domains like energy demand management, sufficiency strategies, and urban mobility innovations. Notable contributions include analyses of post-pandemic spatialities, carsharing dynamics, and smart energy systems' societal integration. He actively participates in interdisciplinary collaborations, policy dialogues, and public outreach on climate resilience and urban sustainability. Research highlights include over 120 publications, 21 projects since 2008, and leadership roles in major EU-funded initiatives. His advising includes supervising 3 PhD candidates exploring themes like smart home adoption and sustainable mobility.

Richard BrownView profile

Research Fellow

• Health Psychology
• Public Health
• Behavioral Science
• +3 more

Richard Brown is a Research Fellow at Northumbria University , focusing on the Double Dividend of Safety Project and managing the Urban Futures interdisciplinary theme. He investigates risk perception and health behaviors, collaborating with the Psychology and Communication Technology Lab. His research employs mixed methods to address public health challenges. Education: PhD in Psychology, Northumbria University MSc Psychology, Northumbria University BA in Philosophy, University of Warwick Legal Qualifications: LPC and PGDL (non-practising solicitor) Research Interests: Health behavior, risk perception, urban sustainability, AI literacy in education, and digital health technologies. His work bridges psychology, public policy, and technology. Key Contributions: Recent articles explore AI adoption in academia, eating disorder policy, pandemic-era remote healthcare, and the Uncontrollable Mortality Risk Hypothesis. His cybersecurity work emphasizes 'Intensive Cybersecurity Care' for vulnerable systems. Awards & Fellowships: Held fellowships at the Parliamentary Office of Science and Technology and the Alan Turing Institute. Active as a Psychology Today writer and advocate for open science practices. Advising & Grants: Supervises PhD students and contributes to interdisciplinary initiatives like Urban Futures. Research has been featured in news outlets and social media platforms. Labs & Teams: Leads research within the Psychology and Communication Technology Lab and collaborates with cross-disciplinary groups on urban sustainability and public health interventions.

Raffaele De AmicisView profile

Associate Professor

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +7 more

Raffaele De Amicis is an Associate Professor at the School of Electrical Engineering and Computer Science , Oregon State University. With a PhD in Industrial Engineering from the University of Bologna (2001) and a professional engineering license (1997), he bridges technical expertise with immersive technology applications. His career spans roles at Fraunhofer Institute (1999-2002), founding directorship of GraphiTech in Trento, Italy, and consulting professorship at the University of Trento (2003-16). Degrees: Ph.D., Design and Methods of Industrial Engineering, University of Bologna M.S., Mechanical Engineering, University of Calabria Professional Engineer License, Italian Charter Research focuses on Virtual Reality , Augmented Reality , and Human-Computer Interaction , particularly for industrial training, geospatial visualization, and educational applications. His work on digital twins, immersive engineering instruction, and XR-based disassembly systems demonstrates interdisciplinary impact. Scientific contributions include over 120 publications, three books, and 15 edited texts. Key projects involve VR safety training for confined spaces, AI-augmented AR guidance, and forest digital twin frameworks. Articles span 2012-2025, emphasizing 3D visualization , multimodal interfaces , and smart manufacturing . Scientific Leadership: Vice-President, GraphicsMedia.net (2010-present) Project Coordinator for EC/NATO/industry grants (€20M total) Founder, GraphiTech Research Center His expertise in multinational research coordination and technology transfer has shaped collaborations across Europe, with applications in forestry, urban planning, and hazardous environment training.

• Artificial Intelligence
• Machine Learning
• Healthcare Technology
• +7 more

Dr. Stephanie Baker is a researcher at James Cook University with expertise in Artificial Intelligence of Things (AIoT) and machine learning applications for healthcare, particularly in non-invasive patient monitoring and digital health implementation in rural settings. Her collaborative work spans biomedical engineering , neonatal care , and environmental data analysis . Key Collaborators : Wei Xiang, Ian Atkinson, Yogavijayan Kandasamy Research Focus : AI-driven vital sign analysis, wearable photoplethysmography, and mortality risk prediction in ICU settings Recent Trends : Expansion into digital health policy for rural and remote Australia, alongside environmental data gap filling with lightweight neural networks

• Artificial Intelligence
• Machine Learning
• Speech Emotion Recognition
• +7 more

Rajib Rana is a Professor of Computer Science at the University of Southern Queensland, affiliated with the School of Mathematics, Physics and Computing. He holds a PhD from the University of New South Wales (UNSW), completed in 2011. His research focuses on AI-driven solutions for mental health, speech emotion recognition, and healthcare informatics, with a strong emphasis on machine learning, deep learning, and domain adaptation techniques. His work spans clinical applications, wearable sensor systems, and mobile health technologies. Dr. Rana has supervised numerous doctoral candidates, including studies on AI tools for youth mental health interventions, adversarial attack robustness in speech emotion systems, and data analytics for school mental health monitoring. His research outputs include over 50 peer-reviewed articles, with notable contributions in IEEE Transactions on Affective Computing, Computers in Biology and Medicine, and other leading journals. His technical expertise includes federated learning, compressive sensing-based encryption for IoT, and context-aware affect sensing via smartphones. He collaborates widely with clinical partners and industry, addressing challenges like mental health triage prioritization and ICU admission prediction during pandemics. His work bridges computational methods with real-world healthcare and educational applications.

• Geographic Information Systems (GIS)
• Remote Sensing
• Photogrammetry
• +5 more

Prof. Dursun Zafer Şeker is a faculty member at Istanbul Technical University , where he holds the Department of Geomatics Engineering within the Faculty of Civil Engineering . His work spans Geographic Information Systems , Remote Sensing , and Photogrammetry , with a focus on integrating Deep Learning and UAV technologies for disaster management, environmental monitoring, and infrastructure analysis. Education: PhD in Geodesy and Photogrammetry Engineering (1989) and Master's in Photogrammetry Engineering (1985), both from Istanbul Technical University. Career: Progressed from Research Assistant (1986-1996) to Professor (2004-present), with administrative roles in academic governance. His research explores GIS applications in transportation accessibility, forest fire prevention, and earthquake response. He has pioneered the use of Deep Learning for medical imaging (e.g., multiple sclerosis lesion segmentation) and agricultural disease classification , while also advancing UAV-based monitoring for coastal and archaeological sites. Recent publications highlight a shift toward AI-driven remote sensing for disaster resilience, including super-resolution techniques for historical imagery and object detection in post-earthquake building collapse mapping. Trends emphasize multi-source data fusion (LiDAR, satellite), climate change adaptation , and urban sustainability . Scientific Awards: Dursun Zafer Şeker Prize, FIG Young Surveyors' Competition (2023) Best Poster/Best Short Presentation Awards at MESAEP (2017), Selçuk University (2016), and Çukurova University (2016) Recognition at International Conferences (2015-2025) for remote sensing and geospatial innovation. As an advisor, he has supervised over 20 PhD and Master’s students , spanning topics like gas pipeline leak detection , PM2.5 prediction , and solar plant site selection . His grants include projects funded by TÜBİTAK and Ministry of Development , such as ORBIS and Forest Fire Decision Support Systems . He also serves on editorial boards for International Journal of Environment and Geoinformatics and Map Magazine .

• Supply Chain Management
• Sustainability
• Circular Economy
• +2 more

Prasanta Dey is a Professor of Operations and Service Management at Aston Business School, Aston University, and is affiliated with the Aston Research Centre for Health in Ageing, Aston India Centre for Applied Research, and the Centre for Circular Economy and Advanced Sustainability. His research focuses on sustainability, supply chain management, circular economy, and operations management in small and medium-sized enterprises. Professor Dey investigates how organizational practices and emerging technologies like artificial intelligence can enhance sustainable performance and resilience in supply chains across diverse sectors including healthcare, manufacturing, and energy. His interdisciplinary work spans multiple countries, examining implementation challenges and policy implications. His publications demonstrate consistent focus on practical applications of operations research and management science. Recent articles explore AI-driven supply chain optimization, circular economy implementation barriers, and sustainability metrics in resource-intensive industries. The research consistently emphasizes empirical validation and stakeholder engagement frameworks. Professor Dey's work in humanitarian logistics and waste management valorization demonstrates commitment to applying operations management principles to global sustainability challenges. His research group collaborates internationally to develop decision-support models for complex socio-technical systems.

Jared A. GreenbergView profile

Associate Professor

• Intensive Care Medicine
• Critical Care
• Sepsis Diagnosis and Management
• +3 more

Jared A. Greenberg, MD is an Associate Professor in the Department of Internal Medicine at Rush Medical College , part of Rush University. He serves as the Assistant Director of the Medical Intensive Care Unit (MICU) and holds roles on the Rush Medical College Admissions Executive Committee . His work focuses on improving communication between healthcare teams and families of critically ill patients, sepsis diagnostics, and mitigating mental health challenges in critical care settings. Research emphasizes ICU communication strategies , including the use of large language models for generating patient care summaries, and sepsis identification via technologies like SeptiCyte RAPID. He explores disparities in ICU care and psychological outcomes for families post-discharge. His studies address clinician burnout, pandemic-era challenges like restrictive visitation policies, and long-term functional recovery after critical illness. Key contributions include randomized controlled trials on written communication interventions (WRITE study) and validation of biomarker-based sepsis diagnostics. His work bridges clinical practice, patient advocacy, and healthcare system improvement.

Søren Kejser JensenView profile

Assistant Professor

• Time Series Management
• Lossy Compression
• Renewable Energy Analytics
• +5 more

Søren Kejser Jensen is a Tenure Track Assistant Professor at the Department of Computer Science, Aalborg University. He is affiliated with The Technical Faculty of IT and Design and the Daisy - Center for Data-intensive Systems. His research focuses on time series management systems, lossy compression techniques, and their applications in renewable energy analytics, IoT data management, and edge computing. He has contributed to the development of ModelarDB, a scalable model-based time series management system. Key research areas include: Optimizing lossy compression for sensor data and wind turbine analytics Designing scalable database solutions for high-frequency data streams Integrating machine learning with compressed IoT data Exploring freshness metrics in communication systems His publications highlight advancements in edge-cloud architectures, model-based data management frameworks, and holistic analytics for renewable energy systems. Collaborations extend to global projects like 6G wireless systems and AI-driven multi-network deployments.

Adam C. DziornyView profile

Associate Professor

• Data Science
• Pediatric Critical Care
• Clinical Informatics
• +3 more

Adam C. Dziorny is an Associate Professor in the Department of Pediatrics, Critical Care and the Department of Biomedical Engineering at the University of Rochester School of Medicine and Dentistry. He holds dual appointments and is affiliated with the University of Rochester Medical Faculty Group (URMFG). His expertise bridges data science and pediatric clinical care, with a focus on developing informatics solutions to enhance medical education and clinical decision-making. Dr. Dziorny completed his MD/PhD at the University of Rochester and a clinical informatics certificate at Oregon Health & Science University, followed by pediatric residency and dual subspecialty training in pediatric critical care and clinical informatics at Children’s Hospital of Philadelphia (CHOP). His research emphasizes using data-driven approaches to improve critical care outcomes, including the development of a software platform for resident-patient attribution and multi-institutional studies on acute kidney injury prediction. He has secured grants to advance graduate medical education and collaborates on projects addressing clinical decision support systems and electronic health record (EHR) optimization. Notable contributions include probabilistic linkage of clinical databases and studies on alert burden reduction in pediatric hospitals. Dr. Dziorny has received awards such as the 2022 Outstanding Faculty Teaching Award and a Distinguished Poster Award (2018). His work spans over 30 peer-reviewed publications, focusing on critical care informatics, machine learning applications, and healthcare technology integration. He actively participates in collaborative networks like the Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) group, leveraging interdisciplinary approaches to solve complex clinical challenges.

Vahid GarousiView profile

Senior Lecturer

• Software Engineering
• Software Testing
• Empirical Software Engineering
• +4 more

Dr. Vahid Garousi is a Senior Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen’s University Belfast, UK. Previously, he held positions as an Associate Professor at Wageningen University (Netherlands), Hacettepe University (Turkey), and the University of Calgary (Canada). He earned his PhD in Software Engineering from Carleton University, Canada (2006). His research focuses on software testing, empirical software engineering, model-driven engineering, and healthcare systems engineering, with an emphasis on industry-academia collaboration. Dr. Garousi has led over 40 industry projects, contributing to software-intensive systems development and testing. He has published over 120 peer-reviewed papers and is recognized as a top-tier researcher in software engineering. Awards include the Alberta Ingenuity New Faculty Award (2007) and the IEEE Distinguished Speaker honor (2012–2015). He is a licensed Professional Engineer (PEng) in Alberta, Canada, and serves as a consultant in software testing and quality assurance. His key research areas include AI-driven testing tools, model-based testing, and test process improvement (e.g., TMMi adoption). He actively mentors PhD students and chairs workshops like NEXTA, advancing automation in testing. Notable projects include the XANDAR framework for safety-critical systems. Dr. Garousi also contributes to conferences and editorial boards, emphasizing practical relevance in software engineering research.