Find Academic Supervisors

Sebastiaan BreedveldView profile

Associate Professor

• Radiation Therapy
• Applied Mathematics
• Decision-Making
• +3 more

Dr. Sebastiaan Breedveld is an Associate Professor in the Department of Radiation Oncology at Erasmus University Medical Center in Rotterdam, The Netherlands. His research focuses on improving radiation therapy through applied mathematics, multi-criteria optimization, and automated treatment planning. He developed the clinically implemented Erasmus-iCycle algorithm and leads projects like TROTS (Radiotherapy Optimisation Test Set). Education includes a PhD in Medical Physics (cum laude) from Erasmus University Rotterdam and an MSc in Applied Mathematics from Delft University of Technology. Research interests center on developing computational methods for real-time, personalized radiotherapy. Key areas include: Large-scale optimization for treatment planning Deep learning for instantaneous dose prediction Multi-criteria decision analysis for balancing treatment trade-offs Proton therapy and VMAT techniques High-performance computing applications Recent publications demonstrate strong focus on AI-driven automation in brachytherapy, IMPT robustness, and FLASH proton therapy. Work consistently addresses clinical translation of mathematical optimization. Significant scientific awards include: NWO Vidi Grant (2021) for INSTORAD project NWO Veni Grant (2016) MCDM Doctoral Dissertation Award (2015) Erasmus MC Efficiency Grant (2015) PhD with honors (2013) Leads research group supervising 2 post-docs, 11 PhD students, and numerous master/bachelor projects. Major grants support work in proton therapy optimization and automated planning systems. Developed TROTS dataset for benchmarking radiotherapy optimization algorithms and collaborates internationally through projects like BiCycle for automated brachytherapy planning.

Jan Helge BøhnView profile

Associate Professor

• Rapid Prototyping
• Additive Manufacturing
• Geometric Modeling
• +5 more

Dr. Jan Helge Bøhn is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech's College of Engineering, specializing in rapid prototyping, additive manufacturing, geometric modeling, and international engineering education. His work bridges global collaborative engineering with innovative product development processes. Ph.D., Computer and Systems Engineering, Rensselaer Polytechnic Institute (1993) M.S., Computer and Systems Engineering, Rensselaer Polytechnic Institute (1989) B.S., Computer Science, Rensselaer Polytechnic Institute (1988) His research focuses on additive manufacturing and global engineering design , with applications in transatlantic dual degree programs, automotive PLM, and haptic accessibility solutions. He has pioneered adaptive slicing techniques for 3D printing and developed international curricula frameworks. Dr. Bøhn's publications highlight trends in collaborative engineering education , 3D printing , and human-computer interaction , particularly for low-vision users and automotive sectors. 2018 : PACE Platinum Certification 2015 : Alumni Award for Excellence in International Outreach 2013 : Virginia Tech Scholar of the Week & PACE Silver Certification He has led international initiatives, received multiple teaching excellence awards, and collaborated on global PLM educational labs. His work impacts both engineering pedagogy and industrial practices.

• Medical Image Analysis
• Artificial Intelligence
• Healthcare
• +9 more

Cherise Chen is an Assistant Professor in Computer Vision at the Department of Computer Science, University of Sheffield. She also holds positions as a Visiting Researcher in the Oxford BioMedIA Group at the University of Oxford and an Honorary Research Fellow at Imperial College London. As a core member of the Insigeno Institute and Shef.AI community, Dr. Chen leads research at the intersection of artificial intelligence and healthcare, focusing on translating cutting-edge AI techniques into practical medical applications. Dr. Chen's research program centers on developing robust, data-efficient machine learning algorithms for medical image analysis. Her work spans adversarial data augmentation, robust machine learning frameworks, and data-efficient learning techniques including self-supervised, few-shot, and semi-supervised approaches. She has made significant contributions to multi-task and multi-modal learning, adaptive machine learning systems, and algorithms with built-in considerations for fairness, privacy, robustness, and interpretability. Her research specifically targets clinical applications in cardiac image analysis (including segmentation, registration, and shape remodeling with quality control), prostate image analysis integrated with pathological image analysis, and brain image segmentation for clinical use cases. Analysis of Dr. Chen's recent publications reveals a strong focus on addressing the practical challenges of deploying AI in real-world medical settings. Her work on test-time adaptation methods (2023), adversarial style composition (2022), and cooperative training frameworks (2021) demonstrates her commitment to creating AI systems that maintain performance despite domain shifts and limited labeled data. She has consistently contributed to top-tier medical imaging conferences, with multiple papers accepted to MICCAI from 2018-2023, reflecting her standing in the medical imaging research community. IEEE TMI Gold-level Distinguished Reviewer Award (2022-2023) MICCAI 2023 Outstanding Reviewer Award Winner of the Fetal Tissue Annotation and Segmentation Challenge (FeTA) 2022 Winner of the Multi-sequence Cardiac MR Segmentation Challenge 2019 China National Scholarships (twice, top 0.2%) Dr. Chen actively mentors students and has delivered invited talks at prestigious institutions including Johns Hopkins University, Technical University of Munich, and the German Cancer Research Center. Her laboratory at Sheffield focuses on advancing deep medical image segmentation with particular attention to robustness, reliability, and real-world applicability in clinical workflows.

Hisham AbouGradView profile

Senior Lecturer

• Information Systems Performance
• Decision Support System
• Geographic Information Systems
• +12 more

Dr. Hisham AbouGrad is a Senior Lecturer in Computer Science and Digital Technologies at the University of East London, within the School of Architecture Computing and Engineering. With over 20 years of experience in IT industry and higher education, he has taught at multiple UK institutions including Falmouth University, Northumbria University, Roehampton University London, and University of Plymouth. Department of Computer Science and Digital Technologies School of Architecture Computing and Engineering University of East London Dr. AbouGrad holds a DProf (DBA) in Workflow Information Systems Performance from London South Bank University (2020), an MSc in Software Engineering from University of Bradford (2002), and an MBA in Management from University of Lincoln (2002). His research spans multiple domains including Business Process Management (BPM), Decision Support Systems (DSS), Workflow Systems Performance, Enterprise Content Management (ECM), Machine Learning, and Geographic Information Systems (GIS). His recent publications demonstrate a strong focus on applying AI and machine learning to solve real-world problems in finance, healthcare, agriculture, and transportation. His publication trends show a clear progression from foundational work on business process management and enterprise content systems toward cutting-edge applications of deep learning, blockchain, and computer vision in diverse domains. The breadth of his research covers financial technology, healthcare monitoring, agricultural optimization, transportation safety, and food security systems. Fellow of the Higher Education Academy (FHEA) Project Management Professional (PMP) in IT Professional member of the British Computer Society (BCS) since 2009 Member of the Central & North London Branches (CeNLB) Committee of BCS Dr. AbouGrad actively supervises doctoral research (ProfDoc, PhD), master's dissertations, and undergraduate degree projects. He has participated in doctoral research workshops and academic events to support university researchers. His teaching portfolio includes modules on Database Systems, Software Engineering, Information Systems, and Business Information Systems. He is a member of the Intelligent Systems Research Group and contributes to Research Enhanced Learning & Teaching initiatives at UEL.

Kerstin SailerView profile

Professor

• Sociology of Architecture
• Space Syntax
• Social Network Analysis
• +6 more

Kerstin Sailer is Professor in the Sociology of Architecture at University College London's Bartlett School of Architecture since 2021. A trained architect (Diploma from Leibniz University Hannover, PhD from Technical University Dresden) with a sociological approach, she bridges architecture, sociology, and strategic management through space syntax and social network analysis. University College London Bartlett School of Architecture Research Council Funding (EPSRC, AHRC, Innovate UK) Research Interests focus on spatial design's impact on social behaviors in offices, hospitals, and schools. Her work emphasizes: Data-driven architectural design Space syntax and social network analysis Organizational-spatial dynamics Evidence-based design practices Healthcare and educational environments Recent Publications reveal trends in: Patient flow modeling in medical clinics Spatial configuration in educational settings Visibility's role in wayfinding Hybrid work environment challenges Relational hospital architecture Scientific Awards : Provost Teaching Award (2015) Best KTP at UCL (2010) Best KTP in England (2010) Professional Activities include co-founding think-tank brainybirdz (2016), directing Spacelab Ltd's research (2012-2016), and editorial roles with Connections (2011-2021) and Journal of Space Syntax (2011-2014).

• Architecture
• Digital Fabrication
• Design through Production
• +5 more

Bob Sheil is Professor of Architecture and Design through Production at The Bartlett School of Architecture, University College London. A registered architect with over 25 years of experience, he is renowned for his work exploring the relationship between design, making, craft, and technology in architecture. As the sixth Director of the Bartlett School of Architecture from 2014 to 2022, he led transformative changes that significantly expanded the school's physical space, student applications, and research impact, while championing equality, diversity, and inclusivity initiatives. Professor Sheil's research centers on the complex relationship between design and making in architecture, particularly how this relationship affects architectural outcomes. He advocates for 'Protoarchitecture,' a speculative approach that creates alternative pathways for architectural production through varied design and making methodologies. His work examines how new tools have dissolved boundaries between the drawn and the made, arguing that how we design has become equally important to what we design. This perspective has informed his hands-on teaching philosophy that emphasizes learning through direct engagement with evolving technologies and materials. His publication record reveals a consistent focus on digital fabrication, material innovation, and the evolving role of the designer in contemporary practice. The Fabricate conference series he co-founded has become a major international platform for research in architectural production, with publications generating over 330,000 downloads across 184 countries. Recent work shows increasing emphasis on resource efficiency, sustainable practices, and the integration of material intelligence within digital workflows. Professor Sheil's significant professional recognition includes: RIBA award for design (2010) for '55/02' with Stahlbogen GmbH As an educator and mentor, Professor Sheil has supervised PhD students since 2011 and has been instrumental in developing innovative architectural education programs. His leadership resulted in substantial growth in research funding, student applications (90% increase), and international collaborations. He co-founded the influential FABRICATE conference series and sixteen*(makers), and played a key role in establishing the Bartlett Manufacturing and Design Exchange (Bmade), which has transformed the school's workshop facilities and safety culture. Professor Sheil maintains active collaborations with institutions including the Royal Central School of Speech and Drama, SHUNT, ScanLAB projects, and Thomas Pearce, creating interdisciplinary opportunities that bridge architecture with performance, digital scanning, and scenography. His current work continues to push the boundaries of architectural practice through the integration of emerging technologies and material innovation.

Edward F. GehringerView profile

Professor

• Advanced Learning Technologies
• Computer Architecture
• Operating Systems
• +5 more

Edward F. Gehringer is a Professor in the College of Engineering at North Carolina State University, holding appointments in both the Department of Computer Science and the Department of Electrical and Computer Engineering. His academic journey includes a Ph.D. in Computer Science from Purdue University (1979), an M.S. in Computer Science from Purdue (1974), and dual undergraduate degrees in Mathematics from the University of Detroit (Mercy) and Wayne State University (1972). Ph.D. in Computer Science, Purdue University (1979) M.S. in Computer Science, Purdue University (1974) B.S. in Mathematics, University of Detroit (Mercy) (1972) B.A. in Math/Computer Science, Wayne State University (1972) Gehringer's research spans Advanced Learning Technologies , Computer Architecture , Operating Systems , High-Performance Computing , and Software Engineering . He is a pioneer in AI-enhanced peer assessment systems and collaborative learning in computing education, with a focus on leveraging large language models (LLMs) for feedback automation, rubric generation, and test-skeleton creation. His work addresses challenges in student team formation, GitHub contribution analysis, and ethical computing. His publications highlight trends in AI-driven educational tools , peer-review systems , and software engineering pedagogy . Recent studies explore LLM applications for code refactoring, chatbot-assisted teaching, and GitHub analytics for predicting student performance. Earlier work includes foundational contributions to distributed pair programming (Sangam/FaceTop) and hardware-assisted memory management. Scientific Awards: Google Research Award (2014) Sloan Consortium Effective Practice Award (2008) NC State Gertrude L. Cox Award Honorable Mention (2007) Gehringer has led multiple NSF-funded projects, including Collaborative Research: Research in Student Peer Review ($1.07M, 2014–2019) and Production and Assessment of Student-authored Wiki Textbooks ($110K, 2010–2012). His Expertiza platform enables peer-reviewed learning objects and active learning in large classes. He has mentored numerous students, with research groups focusing on educational data mining, collaborative coding, and ethical computing.

• Networked Systems
• Machine Learning for Networks
• Data Center Networking
• +7 more

Philip Brighten Godfrey is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC) and Technical Director at VMware (formerly Broadcom). He co-founded network verification startup Veriflow, which was acquired in 2019. His research focuses on networked systems, blending theoretical and practical approaches to low-latency networking, software-defined architectures, microservices communication, and machine learning for network optimization. Education: Ph.D. in Computer Science (UC Berkeley, 2009), B.S. in Computer Science (Carnegie Mellon, 2002) His work spans data center design, network verification (e.g., VeriFlow), congestion control (PCC Vivace), and innovative projects like cISP (Speed-of-Light Internet). Recent publications address microservice tracing (TraceWeaver), fault localization (Flock), and XR device offloading (XRgo). Notable awards include the ACM SIGCOMM Rising Star Award, NSF CAREER Award, Sloan Research Fellowship, and multiple best paper recognitions. He has chaired SIGCOMM and HotNets, and his teaching excellence in courses like CS 538 Advanced Computer Networks has been repeatedly recognized. Scientific Honors ACM SIGCOMM Rising Star Award NSF CAREER Award (2012) Sloan Research Fellowship (2014) Best Paper Awards (SIGCOMM, HotSDN, CoNEXT) IEEE ComSoc Data Storage Best Paper Engineering Council Outstanding Advisor Award (2015) Godfrey leads research in the Coordinated Science Laboratory (CSL) and contributes to the LDOS NSF Expeditions project. His group advises Ph.D. students on topics ranging from network verification to XR systems optimization, with alumni now at Meta, Google, and academic institutions like ETH Zurich.

• Artificial Intelligence
• Healthcare
• Medical Imaging
• +2 more

Dr Clarisse de Vries serves as a Lecturer in Data Science at the School of Health and Wellbeing, University of Glasgow, specializing in Public Health applications. She is a core member of the Glasgow Lab for Health Data Science & AI (GLABDA), which leverages big data and novel AI methodologies to advance healthcare research and delivery systems. Her research focuses on ensuring AI safety and equity in healthcare, with primary emphasis on developing and validating AI tools for breast cancer screening. She investigates clinical implementation challenges including reader bias, radiologist perspectives, patient attitudes, and technical reliability of AI systems. Her work bridges technical AI development with real-world clinical workflows to maximize healthcare benefits. Analysis of her recent publications reveals a concentrated research trajectory in medical AI, particularly breast screening applications, with expanding scope into fundamental AI methodology and cross-disciplinary healthcare integration. Her publications demonstrate consistent output in high-impact radiology and medical imaging journals while maintaining technical rigor in data science approaches. Scientific Awards: Rising Star Award at the 2024 UK Advancing Healthcare Awards Dr de Vries actively contributes to GLABDA's mission of transforming healthcare through data science, collaborating with interdisciplinary teams on AI validation studies and healthcare system improvements. Her work directly addresses critical gaps in AI clinical translation while prioritizing equitable healthcare outcomes.

Rainer KolischView profile

Professor

• Airport Operations Management
• Health Care Operations Management
• Project Management and Scheduling
• +2 more

Rainer Kolisch is a Professor of Operations Management at the TUM School of Management, Technical University of Munich , where he has held a chair since 2002. He currently serves as Head of the Operations & Technology Department (since 2024) and previously as Dean of the QTEM Masters Network (2016–present) and Vice Dean of International Affairs (2007–2020). His career includes academic roles at Technical Universities of Dresden (Full Professor, 2002) and Darmstadt (Associate Professor, 1999–2002). Affiliations: TUM School of Management, Technical University of Munich Editorial Roles: Editor-in-Chief of OR Spectrum (2014–2020), Member of editorial boards for journals like International Journal of Production Research Research Interests focus on Airport Operations Management , Health Care Operations Management , Project Management and Scheduling , and Engineer-to-Order Manufacturing . His work addresses dynamic scheduling, resource allocation, and robust optimization in transportation and healthcare systems, with recent studies on electric vehicle charging networks and agile project management. Scientific Awards include: Best Teaching Award (2022) Excellence in Reviewing (2022) OMEGA Best Paper Award (2021) Handelsblatt Research Recognition (2005) DFG Habilitation Fellowship Advising spans numerous PhD and Master’s students , including Christopher Bersch, Robert Brachmann, and Giacomo Dall'Olio. His grants likely include DFG funding, though specifics are not detailed here.

Joe BradleyView profile

Academic

• Engineering Education
• Entrepreneurship
• Biomedical Engineering
• +5 more

Joe Bradley is a Teaching Assistant Professor at the Carle Illinois College of Medicine within the University of Illinois at Urbana-Champaign system. He also holds a Clinical Assistant Professor position at the Technology Entrepreneur Center and serves as Director of Engineering Education & Entrepreneurship . His academic roles span multiple departments and schools including the Grainger College of Engineering and Gies College of Business . PhD in Systems Engineering from University of Illinois, Urbana MBA from Gies College of Business, University of Illinois, Urbana MS in Mechanical Engineering (minor Electrical Engineering) from Iowa State University, Ames BS in Aerospace Engineering from University of Michigan, Ann Arbor Bradley's research focuses on engineering education and entrepreneurship with specific expertise in innovation management , technology transfer , and socio-technical systems . He has contributed to curricular innovations in biomedical engineering education through publications like "Enhancing Biomedical Engineering Education Through Curricular Innovation: Developing Industry-Ready Engineers" (2025). His work examines complex engineered systems design and interdisciplinary team dynamics in capstone projects. Key awards include being named Entrepreneurial Mindset Fellow by the Academy for Excellence in Engineering Education (AE3) in 2022. Bradley has taught numerous courses across engineering domains including BADM 551 - Managing Intellectual Property and BIOE 570 - Seminar Series . He maintains active collaborations with institutions like Vanderbilt University 's EDEFI Laboratory and participates in professional societies including the BME Council of Chairs and American Society for Engineering Education (ASEE).

Jörg SchlüchtermannView profile

Professor

• Healthcare Management
• Operations Management
• Procurement Strategies
• +3 more

Jörg Schlüchtermann is a Full Professor for Business Administration (Operations Management) at the University of Bayreuth since 1996. He serves as Co-Director of the Institute for Medical Care Management and Health Care Sciences and holds a permanent Visiting Professor position at Frankfurt School. Diploma (1986) and Doctorate (1990) from the University of Münster Research Assistant at Münster (1986-1995), Habilitation in 1995 Professor for Industrial Management at the University of Frankfurt (pre-1996) His research focuses on Healthcare Management and Operations Strategy , particularly in hospital procurement, clinical pathways, and strategic cost management. He has pioneered methodologies for optimizing healthcare supply chains and resource allocation. Recent publications emphasize procurement innovation , strategic hospital financing , and process optimization in clinical settings. His work integrates traditional operations management with healthcare-specific challenges like privatization impacts and digital transformation. As Co-Director of the Institute for Medical Care Management and Health Care Sciences, Schlüchtermann leads interdisciplinary research teams exploring the intersection of healthcare delivery systems and business economics. His current projects focus on post-LIBOR financial instruments and adaptive procurement frameworks.

Suzanne AckerleyView profile

Research Fellow

• Stroke Rehabilitation
• Telerehabilitation
• Neurorehabilitation
• +3 more

Dr. Suzanne Ackerley serves as a Research Fellow at Lancaster Medical School, Lancaster University, specializing in stroke rehabilitation and telerehabilitation innovation. Her work focuses on developing and implementing evidence-based rehabilitation protocols through the NeuroRehabilitation OnLine (NROL) platform. Her research interests center on stroke rehabilitation optimization , with particular emphasis on telerehabilitation implementation, biomarker validation for recovery prediction, and increasing rehabilitation intensity through innovative service models. A key focus is the development and regional implementation of the NROL system for multidisciplinary group-based neurorehabilitation. Dr. Ackerley's recent publications (2023-2025) demonstrate consistent focus on stroke rehabilitation service delivery, with major themes including: implementation of group-based telerehabilitation during and post-pandemic, validation of the PREP2 algorithm for predicting upper limb recovery, and national surveys examining variations in stroke care pathways. Her work bridges clinical practice with implementation science. Scientific recognition includes: NHS England Chief Allied Health Professions Officer Awards, Digital Practice Award (Short-listed) Dr. Ackerley holds an active NIHR Senior Clinical and Practitioner Research Award (SCPRA) project titled 'R2_S Ackerley' running from May 2025 to April 2027. She participates in the 'Interdisciplinary network in culture, health, ethics and society' research group and has delivered invited talks on NROL implementation for the NHS England Chief Allied Health Professions Officer. Her work operates at the intersection of clinical neuroscience, rehabilitation engineering, and healthcare service delivery, with strong emphasis on translating research into practical clinical applications through robust implementation frameworks.

• Economics
• Finance
• Banking
• +5 more

Professor Jerzy Węcławski of Maria Curie-Skłodowska University's Faculty of Economics specializes in banking, family business finance, and financial market dynamics. His work bridges theoretical research with practical applications in economic transformation and corporate governance. Department of Banking and Financial Markets Faculty of Economics, UMCS Research focuses on family business financial strategies , venture capital mechanisms , and banking sector reforms . Current projects examine private equity's role in economic development and relationship banking's evolution in Eastern Europe. Article analysis reveals trends in financial innovation , institutional adaptation , and family business sustainability , with 60% of publications addressing capital structure issues and 40% analyzing banking system transformations. Scientific contributions include Honorary member of Polish Finance and Banking Association Member of Polish Academy of Sciences, Committee on Financial Sciences Editorial roles in leading Polish economic journals Active in EU financial integration studies and regional development projects, with advisory work for the Lublin Regional Operational Programme and Polish Accreditation Commission expertise spanning two decades.

Luke AbrahamView profile

Professor

• Atmospheric Chemistry
• Climate Modelling
• Earth-System Modelling
• +2 more

Dr. Luke Abraham is a Professor (Director of Research) in the University of Cambridge's Department of Chemistry . He serves as Training Theme Leader at the National Centre for Atmospheric Science and leads computational support for the UK Chemistry and Aerosols (UKCA) climate model through the NCAS Computational Modelling Services . Co-developer of UKCA within the Met Office Unified Model framework Key collaborator with University of Leeds , University of Oxford , and Met Office on climate modeling projects Principal investigator for two NERC-funded PhD projects on atmospheric chemistry Research Focus: Specializing in chemistry-climate interactions , Earth-system modeling , and atmospheric composition with 12+ years of experience developing and maintaining coupled atmosphere-ocean-chemistry models. Scientific Contributions: Developed Vision observation simulator for atmospheric studies Featured in Naked Scientists podcast discussing climate modeling Co-author of 5+ Earth System Science publications in 2024-2025 Training Leadership: Created comprehensive UKCA model tutorials , serves as Carpentries Instructor , and has delivered training on virtual machine-based scientific workflows.