Find Academic Supervisors

Elham TorabiView profile

Associate Professor

• Healthcare Analytics
• Operations Management
• Student Engagement and Motivation
• +3 more

Elham Torabi is an Associate Professor of Computer Information Systems and Business Analytics at the College of Business, James Madison University. She holds a Ph.D. in Operations, Business Analytics, and Information Systems from the University of Cincinnati (2016). Her research focuses on Healthcare Analytics, Operations Management, and innovative teaching practices emphasizing student engagement and Diversity, Equity, and Inclusion in education. She has published in journals such as Journal of Information Systems Education and INFORMS Transactions on Education , exploring topics like service operations principles in academia and Bayesian approaches to student motivation in business analytics courses. Her healthcare-related work includes developing frameworks for operational metrics in healthcare delivery systems (e.g., FASStR) and applying simulation modeling to improve emergency care workflows. She has also studied workflow optimization in mid-level care provider environments and capacity management strategies for multi-priority patient systems. Torabi’s teaching philosophy integrates pedagogical innovations to enhance student motivation and engagement. She emphasizes practical applications of analytics and operations management concepts in real-world contexts, particularly in healthcare and education sectors.

Bertram LudäscherView profile

Professor

• Data and Knowledge Management
• Scientific Workflows
• Data Provenance
• +4 more

Bertram Ludäscher is a Professor at the School of Information Sciences at the University of Illinois, with affiliate appointments at the National Center for Supercomputing Applications (NCSA) and the Department of Computer Science. He leads the Center for Informatics Research in Science and Scholarship and directs the NSF-funded Euler project focused on logic-based taxonomic alignment. His research emphasizes scientific workflow systems, data provenance, and knowledge representation. Ludäscher co-founded the Kepler workflow system and contributed to DataONE’s provenance initiatives. He previously held roles at UC Davis and the San Diego Supercomputer Center. Education: PhD in Computer Science, University of Freiburg (1998) MS in Computer Science, Technical University of Karlsruhe (1992) Research Interests: Data and knowledge management, scientific workflows, provenance tracking, biodiversity data curation, and taxonomic reconciliation using logic-based methods. Ludäscher’s work bridges computational methods with biological and environmental sciences, focusing on reproducibility and interoperability in data-driven research. Recent Work Trends: His articles address provenance unification in databases, workflow automation recovery, and resolving taxonomic conflicts. Key themes include reproducibility frameworks (e.g., the Whole Tale project), ontology alignment, and scalable workflow systems for diverse scientific domains. Awards: 2018 ProvenanceWeek Best Paper, Google Scholar Classic Papers recognition. Advising & Grants: Leads NSF-funded projects like Euler and Kurator. Active in collaborative initiatives such as DataONE and the Whole Tale. Courses taught include data curation, workflow design, and data cleaning methodologies. Labs/Teams: Directs the Center for Informatics Research in Science and Scholarship and collaborates with NCSA on cyberinfrastructure projects. Key partnerships include the San Diego Supercomputer Center and UC Davis Genome Center.

Nadine FosterView profile

Professor

• Musculoskeletal Pain
• Low Back Pain
• Osteoarthritis
• +5 more

Professor Nadine Foster is a NHMRC Leadership Fellow (Level 2) and Director of the University of Queensland (UQ) Clinical Trials Centre , affiliated with the Faculty of Health, Medicine and Behavioural Sciences and School of Health and Rehabilitation Sciences . She is a physiotherapist and lifelong Fellow of the Chartered Society of Physiotherapy (UK) , renowned for her work in musculoskeletal pain , clinical trials , and rehabilitation science . Education : Bachelor (Honours), University of Ulster Doctor of Philosophy, University of Ulster Research Interests revolve around musculoskeletal pain (low back pain, osteoarthritis, shoulder pain), health services research , and interprofessional collaborative practice . Her work emphasizes stratified care models and clinical trials to improve patient outcomes. She has led over 31 RCTs and contributed to 311+ peer-reviewed publications, including the Lancet Series on Low Back Pain . Recent research trends focus on clinical trial fidelity , patient-centered service design , comparative effectiveness of surgical vs. conservative care , and implementation strategies for evidence-based interventions (e.g., STarTBack tool). Her studies span biomechanics , return-to-work programs , and eHealth . Scientific Awards & Recognition : Elected to Australian Clinical Trials Alliance (ACTA) Board (2024) NHMRC Investigator Grant (2024–2029) Stanley Paris Visiting Fellowship (2023) NIHR Senior Investigator Award (2020) Supervision includes 15 completed PhDs and 19 Masters students. She currently supervises projects on collaborative clinical practice , FORENSIC low back pain trial , and shoulder osteoarthritis management . Her grants exceed $145M, including NHMRC , NIHR , and PCORI funding. She leads international collaborations such as the FORENSIC trial (lumbar fusion vs. conservative care) and RAPSODI trial (shoulder replacement approaches).

• Service Operations Management
• Customer Experience Evaluation
• E-Business Supply Chain Management
• +4 more

Sid Ghosh serves as a Senior Lecturer in Operations Management within the Faculty of Business and Law at Bournemouth University. Based at the Executive Business Centre (EB501), he maintains an active research profile with recent publications spanning service operations, digital business models, and sustainable supply chains. His research focuses on customer experience evaluation within service operations , technology's impact on service delivery , e-business supply chain management , and product/service quality systems . Recent work examines cryptocurrency investment behaviors, mobile app shopping adoption among UK millennials, and pandemic-driven shifts in online customer experience. His research connects to UN Sustainable Development Goals including Quality Education, Industry Innovation, Responsible Consumption, and Climate Action. Dr. Ghosh serves on the Editorial Board of The International Journal of Quality and Standards (a BSI journal) and has reviewed for ABS-rated journals including International Journal of Operations and Production Management. His publication record spans international journals such as International Journal of Project Management and Business Process Management Journal. Best Paper Prize at British Academy of Management Conference (Said Business School, Oxford, 2005) HEFCE Funded Bournemouth University Promising Researcher Fellowship (2004) Invited evaluator for AHRC grant proposals As a PhD Supervisor, he has guided doctoral research on topics including Six Sigma implementation in Ducab and airline operations performance during crisis periods. His current projects include assessing supply chain capabilities within the BCP Council Area. Dr. Ghosh is an active member of both the Academy of Marketing and the British Academy of Management, regularly presenting at their conferences.

• Human-Computer Interaction (HCI)
• Virtual/Augmented Reality (VR/AR)
• User Experience (UX)
• +6 more

Vassilis Charisis is a Professor of Creative Technologies and Associate Dean of Research and Innovation at the School of Arts and Creative Industries, Edinburgh Napier University . He holds a PhD and MPhil in Human-Computer Interaction (HCI) and VR/AR from the University of Glasgow and serves as a Visiting Professor at the University of Nicosia (Cyprus) and University of West Attica (Greece). Former roles include Professor of HCI and VR/AR at Glasgow Caledonian University Founder and Director of VRS Lab and VRDS Lab Director of Visual, Affective and Pervasive Systems (VAPS) research group His research spans Human-Computer Interaction , Virtual/Augmented Reality , User Experience (UX) , Artificial Intelligence , and Medical Simulation . With over £12.5M in research funding and 100+ publications, he focuses on: Automotive Engineering : AR/VR interfaces, collision avoidance systems Healthcare Applications : Dialysis training, telemedicine Consumer Electronics : UX optimization, gesture recognition Recent publications highlight trends in XR for geriatric rehabilitation , AI-driven AR HUD systems , and IoT security frameworks . His work integrates AI, immersive environments , and user-centered design across domains. Scientific Awards International awards for automotive design (FIAT, Opel) Professional memberships: MIET, FBCS, FRSA, FDSRI, SFHEA He advises on PhD supervision (e.g., Kweku Bram Larbi) and contributes to advisory committees like the Scottish Arts and Humanities Alliance . His projects include: VR Dialysis Training Systems (Kidney Research UK, NHS) noPILLLS in the Water (EU FP7, £7.5M) Collision Avoidance AR Interfaces for emergency vehicles

• Edge Computing
• Fog Computing
• Cloud Computing
• +4 more

Dragi Kimovski is a Habilitated Assistant Professor in Distributed Systems at Klagenfurt University, Austria, focusing on Edge Computing and AI. He previously held roles at the University of Innsbruck and the University of Information Science and Technology in Macedonia. His research spans Edge/Fog/Cloud computing, multi-objective optimization, and high-performance computing. He has coordinated major projects like 6GContinuum and KärtnerFog, and led initiatives such as DataCloud and ASPIDE. His teaching includes courses on Distributed Computing, Cloud Computing, and IoT. He is the co-creator of the Carinthian Computing Continuum and maintains a blog on Edge AI World. His work emphasizes sustainable and efficient computing solutions for emerging technologies. Education: Not explicitly listed in the provided text. Research Interests: Edge Computing, Fog Computing, Cloud Computing, Multi-objective Optimization, High-Performance Computing, AI in Distributed Systems. His work addresses challenges in resource management, latency reduction, and scalability across heterogeneous environments, with applications in healthcare, IoT, and 6G networks. Projects: 6GContinuum (Coordinator): Focuses on AI services over 6G networks. KärtnerFog (Scientific Coordinator): Develops adaptive Fog infrastructures over 5G. DataCloud (WP5 Leader): Manages Big Data pipelines on the Computing Continuum. ASPIDE (Scientific Coordinator): Advances exascale programming models for data processing. Teaching: Klagenfurt University: Courses include Distributed Computing, IoT, Cloud Computing, and Advanced Programming. University of Innsbruck: Taught Advanced Parallel and Distributed Systems. University of Information Science and Technology: Courses in High-Performance Computing and Network Architectures. Labs/Teams: Co-created the Carinthian Computing Continuum, an automated SDN testbed for Edge computing research. Active in interdisciplinary teams addressing extreme data processing and sustainable computing.

Jürgen MelznerView profile

Professor

• Construction Management
• Occupational Health and Safety
• Building Information Modeling (BIM)
• +4 more

Prof. Dr.-Ing. Jürgen Melzner is a Professor at the Faculty of Civil and Environmental Engineering at Bauhaus-Universität Weimar. His research focuses on construction operations, occupational health and safety, and BIM integration. He leads projects in lean construction management, noise pollution modeling, and safety planning using BIM. His work emphasizes digital transformation in construction processes and legal aspects of building permits. Education includes a Dr.-Ing. (Doctor of Engineering) with extensive career contributions to construction safety and process optimization. His teaching and research involve BIM applications, IoT integration, and interdisciplinary methods in construction education. Research interests span BIM-based safety systems, predictive noise simulation, ontology networks for construction data, and lean principles in project management. Recent articles address stakeholder management in permits, machine learning for site monitoring, and metaverse applications in urban planning. Notable advising includes guidance of master's students like Mahshid Birkholz and Nasim Babazadeh. His work bridges academic research with practical implementation through projects like BIMwissT and DROHNIS. Labs/teams: Active in the Chair for Construction Management and BIM, focusing on digital tools and safety innovation.

Jelena MiloševićView profile

Assistant Professor

• Structural Systems
• Spatial Structures
• Structural Morphology
• +2 more

Jelena Milošević is an Assistant Professor at the Department of Architectural Technologies, University of Belgrade - Faculty of Architecture. She serves as Vice-Dean for Teaching and Student Affairs and specializes in structural systems, spatial structures, morphology, and optimization of structures. Her research combines computational design, digital fabrication, and sustainable construction methods. Education: Graduated in Architecture, University of Belgrade (2006) Enrolled in doctoral studies (2009) Her research focuses on generative design approaches for architectural structures, performance-based optimization, and applications of 3D printing in construction. She investigates biomimetic pattern applications in structural design and develops parametric workflows for complex geometries. Recent work explores circular economy potentials in architectural production through recycled materials and additive manufacturing. Publications demonstrate a strong focus on digital fabrication technologies in architectural education and practice. Recent articles examine hybrid pedagogical approaches integrating 3D printing technologies into design studios, material efficiency in additive-manufactured structural systems, and sustainable applications of recycled materials in digital fabrication. She has participated in research projects including 'Development and application of scientific methods in design and construction of highly economical structural systems using new technologies' funded by the Ministry of Education, Science and Technological Development of Serbia.

Clemens V. VerhooselView profile

Associate Professor

• Computational Mechanics
• Isogeometric Analysis
• Fluid Dynamics
• +5 more

Clemens V. Verhoosel is an Associate Professor in Computational Methods for Model- and Data-Driven Engineering at Eindhoven University of Technology (TU/e). He holds positions in the Department of Mechanical Engineering under the Energy Technology and Fluid Dynamics section, and is affiliated with the EAISI Foundational initiative. His research focuses on scan-based immersed isogeometric analysis, uncertainty quantification, and Bayesian inference for complex engineering problems. He leads the Group Verhoosel and manages the Engineering Mechanics Graduate School since 2018. Education: MSc (Aerospace Engineering, TU Delft, 2005, cum laude PhD, TU Delft, 2009). Postdoctoral research at University of Texas at Austin (2009-2010). Awarded NWO VENI Grant (2011). Research interests include numerical methods for solid mechanics, fluid dynamics, coupled problems, and applications in biomedical engineering (e.g., cardiac mechanics). He develops open-source tools like the Nutils toolkit and collaborates with industry partners such as Evalf Computing. Key contributions include isogeometric analysis for fracture mechanics, phase-field models, and mesh-free simulation workflows. Honors: NWO Veni Award (2011). Teaching includes Advanced Discretization Techniques and Scientific Computing courses. Active in professional activities, including invited talks on cardiac mechanics and computational methods.

Saleh AshkboosView profile

Researcher

• Deep Learning
• Artificial Intelligence
• Machine Learning
• +5 more

Saleh Ashkboos is a Ph.D. student in the Computer Science Department at ETH Zurich, advised by Professors Torsten Hoefler and Dan Alistarh. He is also a Research Assistant at the Scalable Parallel Computing Lab and an affiliated doctoral student of the ETH AI Center. His research focuses on accelerating deep neural network training and developing systems for large-scale graph processing. Prior to ETH Zurich, he earned his Master's degree in Computer Science from Sharif University of Technology, advised by Professor Amir Daneshgar. His work has led to notable contributions, including the best paper award at SC22 for 'ProbGraph.' Recent research emphasizes efficient LLM training and quantization techniques, with publications on topics like 4-bit inference, quantization-aware training frameworks, and scalable meteorological modeling. He has interned at Apple and Microsoft, and his work is accessible via Google Scholar and GitHub. Key projects include GPTQ (post-training quantization for transformers), SliceGPT (LLM compression), and ProbGraph (high-performance graph mining). His technical contributions span distributed systems, neural network optimization, and climate-related machine learning.

• Climate Modelling
• Paleoclimate Modelling
• Earth System Modelling
• +3 more

Dr. Jan Streffing is a Scientific Programmer in the Climate Dynamics department at the Alfred Wegener Institute (AWI) in Bremerhaven, Germany. His work focuses on advancing Earth System Models (ESMs) with an emphasis on coupled climate modeling, paleoclimate simulations, and ensuring model scalability while preserving mass and energy conservation. He coordinates Earth System Model development efforts, particularly with the AWI-CM3 climate model framework. His research interests include high-resolution climate projections, atmosphere-ocean coupling mechanisms, and improving model physics through numerical methods. Streffing contributes to global kilometer-scale simulations using frameworks like IFS-FESOM, addressing challenges in resolving ocean eddies and cloud processes. He has developed ESM-Tools infrastructure to modularize climate modeling workflows and enhance computational efficiency. Key projects involve the MOSAiC expedition evaluation, where nudging techniques were applied to align model outputs with in-situ observations, revealing model deficiencies in cloud dynamics and snowpack representation. His work also explores deep-water formation impacts on climate sensitivity and integrates data assimilation techniques to improve sea ice forecasts in the AWI coupled prediction system. Streffing's contributions bridge climate science and computational practices, supporting advancements in model resolution, scalability, and accuracy for understanding future climate scenarios.

• Artificial Intelligence in Healthcare
• Health Informatics
• Digital Health
• +4 more

Professor Sandeep Reddy is a leading academic in healthcare management and digital health at Queensland University of Technology (QUT), where he heads disciplines in Healthcare Management, Health Information Management, and Health, Safety, and Environment. He co-leads the 'Health, Human Biology and MedTech' theme at QUT's Centre for Data Science. With a PhD in Healthcare Management and a medical degree, Reddy holds multiple professional fellowships, including the Australasian Institute of Digital Health and the UK Higher Education Academy. Roles: Professor, Academic Leader, Researcher, Editor Affiliations: QUT, WHO Digital Health Roster, European Academy of Translational Medicine Professionals His research focuses on AI integration in healthcare delivery, governance frameworks, and translational methodologies. Key areas include AI in chronic disease management, medical imaging, and facial recognition technology. Reddy has authored over 80 publications, including a 2024 textbook on translational AI applications. Reddy's work spans global health policy, having advised the WHO and participated in international panels. He teaches courses on health informatics, implementation science, and digital health, with over 20 years of academic and industry experience. Scientific awards and fellowships reflect his expertise: Fellow of AIDH, ACHSM, and Senior Fellow of the UK Higher Education Academy. His editorial roles include PLOS ONE, Computational and Structural Biotechnology Journal, and Frontiers in AI. Current research supervision focuses on AI in medical education, healthcare access, and explainability in AI systems. He advocates for equitable digital health solutions, addressing the rural-urban digital divide through empirical studies.

Matthew CohenView profile

Associate Professor

• Clinical assessment of cognition
• Cognitive disorders
• Acquired communication disorders
• +5 more

Matthew Cohen is an Associate Professor in the Department of Communication Sciences & Disorders within the College of Health Sciences at the University of Delaware. His academic appointments include affiliations with the Resilient Cognitive Aging Lab (RECALL), Center for Health Assessment Research and Translation, and Delaware Center for Cognitive Aging Research. His educational background includes an Education Clinical Residency in neuropsychology from Johns Hopkins School of Medicine (2015), Ph.D. from University of Florida (2013), M.S. from University of Florida (2009), and B.A. from University of Delaware (2007). Dr. Cohen's research focuses on clinical assessment of cognition and cognitive disorders , acquired communication disorders in adults , Alzheimer's disease and dementia , and patient-reported outcome measures in speech-language pathology. His work bridges neuropsychology, rehabilitation science, and cognitive aging through interdisciplinary approaches to measurement and intervention. Analysis of his 15 most recent publications (2024-2025) reveals three dominant research trajectories: (1) Development and validation of cognitive assessment tools for mild cognitive impairment and dementia, (2) Investigation of diet-metabolism-cognition relationships, and (3) Implementation science for patient-reported outcomes in communication disorders. His work increasingly incorporates telehealth methodologies and biomechanical biomarkers. While no specific scientific awards are documented in available materials, his research program demonstrates significant collaborative activity through the RECALL lab mission to advance "interdisciplinary research, education, and clinical training in healthy aging, as well as cognitive assessment and cognitive rehabilitation for Alzheimer’s disease and related disorders." Dr. Cohen leads the Resilient Cognitive Aging Lab (RECALL), formerly known as the Measure What Matters lab, which offers free online memory screening services. The lab operates within UD's Tower at STAR facility and focuses on translating cognitive assessment research into community-based dementia risk reduction programs like Brain-WISE.

Megan SchliepView profile

Assistant Professor

• Stroke Rehabilitation
• Aphasia
• Implementation Science
• +3 more

Megan Schliep, PhD, CCC-SLP, MPH, is an Assistant Professor in the Department of Communication Sciences & Disorders at MGH Institute of Health Professions (IHP). She holds a clinical appointment as a speech-language pathologist at Spaulding Rehabilitation Hospital within the Mass General Brigham Network. Her research focuses on post-stroke aphasia, implementation science, and improving clinical practices through standardized assessments. She completed her PhD in Rehabilitation Sciences at MGH IHP (2020) and a postdoctoral fellowship under Dr. Prue Plummer in the Cognitive-Motor Behavior Lab. Education: PhD in Rehabilitation Sciences (MGH IHP), MPH (Northwestern University), MA in Communication Sciences & Disorders (Northwestern University), BA in English (Gustavus Adolphus College). Her research interests include language/cognitive assessment after stroke, implementation of standardized practices across care settings, and predicting patient recovery patterns. She leads a Precision Rehabilitation initiative with Johns Hopkins Medicine as a 2022 LeaRRn Scholar, focusing on scalable cognitive measurement methods. She previously directed the Online Prerequisites program for MGH IHP's Health Professions Program. Awards: LeaRRn Scholar (2022), Tedy’s Team Center Research Fellow (2023). Her work bridges clinical and research settings, emphasizing interdisciplinary collaboration and real-world application. Current projects address aphasia recovery, health literacy, and reducing research-to-practice gaps through frameworks like Quality Implementation and Theoretical Domains Framework.

Stephan SchlöglView profile

Professor

• Human-Computer Interaction (HCI)
• Artificial Intelligence
• Interaction Design
• +6 more

Stephan Schlögl is a Full Professor at MCI - The Entrepreneurial School in Austria, leading research and teaching in Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Information Systems. He holds editorial roles at journals like the Springer Discover Artificial Intelligence Journal and MDPI Multimodal Technologies and Interaction Journal. His work spans over two decades, with key roles including Postdoctoral Research Fellow at Télécom ParisTech (2012–2013) and PhD Researcher at Trinity College Dublin (2008–2012). Schlögl’s research focuses on HCI, AI-driven conversational systems, and assistive technologies for aging populations. Education includes a PhD in Computer Science from Trinity College Dublin, an MSc in Human-Computer Interaction from University College London, and a Mag.(FH) in Applied Informatics & Management from MCI. His teaching spans Software Engineering, Business Intelligence, and Research Methods. Research interests emphasize natural language interfaces, AI ethics, and technology’s societal impact. Notable projects include the EU-funded EMPATHIC initiative (2017–2021), developing an empathic virtual coach for elderly care, and the CRYSTAL project (2024–present) on conversational systems for emotional support. Schlögl has supervised numerous theses on AI applications, chatbots, and UX design. He co-organized major conferences like CUI (Conversational User Interfaces) and received awards for best papers in AI-HCI and CHIRA. His work bridges academia and industry, addressing challenges in AI adoption, digital well-being, and ethical technology design.