Find Academic Supervisors

Ilan KrooView profile

Professor

• Multidisciplinary Optimization
• Aircraft Synthesis
• Unconventional Aircraft Design
• +5 more

Dr. Ilan Kroo Academic Appointments: Thomas V. Jones Professor in Aeronautics and Astronautics at Stanford University's School of Engineering. Active in teaching and research since at least 1983 (PhD Stanford). Education: PhD in Aeronautics and Astronautics, Stanford University (1983). Research Focus: Multidisciplinary optimization and aircraft synthesis Unconventional aircraft configurations (e.g., joined wings, oblique wings) Low-speed aerodynamics: vortex wake analysis, induced drag computation Awards: Elected Member of the National Academy of Engineering (2013–Present). Teaching: Leads courses on aircraft design, applied aerodynamics, and sustainable aviation. Courses include AA 146A/B, AA 241A/B, and independent study modules. Students: Advises master's students William Ho, Sean Lin, Adrian Loekman, and Sebastian Monsalvo. Labs/Teams: Involved in NASA and industry-sponsored projects on computational aircraft design and transonic formation flight. Recent Work: Focus on pilot-induced oscillation mitigation, extended formation flight efficiency, and UAV swarm control. Active in publishing since 2009, with 116+ papers.

Julia F. W. GaleView profile

Research Professor

• Structural Geology
• Fracture Systems
• Hydrocarbon Reservoirs
• +4 more

Dr. Julia F. W. Gale is a Research Professor at the Bureau of Economic Geology within the Jackson School of Geosciences at The University of Texas at Austin. She is affiliated with the Fracture Research and Application Consortium (FRAC) and the Center for Integrated Seismicity Research, where she conducts cutting-edge research on natural fracture systems in unconventional hydrocarbon reservoirs. Her research focuses on natural fracture systems with emphasis on unconventional hydrocarbon reservoirs. Dr. Gale investigates fracture size (width, length, height), morphology, spacing, and openness attributes in core and outcrop samples. She collaborates with colleagues using fluid inclusions and stable isotope geochemistry to establish conditions of fluids from which fracture cements precipitate. Her work integrates burial history to determine fracture timing and mechanisms, and she collaborates with petroleum engineers to understand how natural fractures interact with hydraulic fractures used in well stimulation. Dr. Gale has received notable recognition including the SEPM 2001 Honorable Mention Oral Presentation award and the Clement le Neve Foster Memorial Prize from Imperial College. Her research has significantly advanced understanding of fracture systems in unconventional reservoirs. She has served on various committees including the Promotions Committee and as Agent for the Geological Society of London. Dr. Gale collaborates extensively with researchers in Petroleum and Geosystem Engineering at UT and is actively involved in the Fracture Research and Application Consortium.

• Power Systems
• Smart Grids
• Transient Stability
• +7 more

Cavit Fatih Küçüktezcan is an Assistant Professor in the Department of Electrical Engineering at Istanbul Technical University, College of Engineering. His research focuses on power system security, optimization methods, and smart grid technologies. He actively contributes to advancements in electric vehicle energy systems, battery modeling, and resilience of renewable-rich power grids. Research Interests: His work spans power system dynamic security , preventive and corrective control , heuristic and evolutionary optimization (e.g., differential evolution, mean-variance mapping, genetic algorithms), and the application of machine learning for transient stability prediction. He also investigates electric vehicle battery systems , including optimal cell selection and real-time energy consumption modeling. The publication trends show a shift toward data-driven and AI-enhanced approaches in power systems, especially in modeling cyber-attack impacts and improving grid resilience. His recent articles emphasize practical applications in sustainable transportation and secure grid operation under uncertainty. Scientific Contributions: Developed optimization frameworks for preventive control with search space reduction. Applied mean-variance mapping optimization to enhance dynamic security. Explored machine learning benchmarks for transient stability under cyber threats. Contributed to battery modeling and energy efficiency in electric buses. Advising and Grants: While specific details on students or funded projects are not available in the provided text, his collaborative research patterns suggest active supervision and team-based research in power systems and energy technology. He frequently co-authors with researchers from Istanbul Technical University, indicating strong institutional collaboration. Labs and Teams: Though no specific lab or research group is named, his work aligns with smart grid, energy systems, and optimization research teams within the Department of Electrical Engineering at ITU. His focus on real-time data and cyber-physical systems suggests potential involvement in intelligent grid monitoring and control initiatives.

John GroutView profile

Professor

• Quality Management
• Mistake-Proofing
• Lean Manufacturing
• +5 more

John Grout is the David C. Garrett Jr. Professor of Business Administration and Chair of the Technology, Entrepreneurship, and Data Analytics Department at Berry College, within the Campbell School of Business. He previously served as dean of the school and returned to full-time faculty in 2016, continuing his leadership in academic innovation. His research focuses on quality management, particularly mistake-proofing (poka-yoke), lean manufacturing, and the impact of user innovation on supply chains. He has made significant contributions to healthcare process improvement, with publications guiding error reduction in clinical settings. The recent articles reflect a strong trend in applying operational excellence to healthcare systems, integrating concepts from manufacturing into medical process design. His work emphasizes designing systems that prevent errors through structural and procedural safeguards, supported by economic and behavioral models. Scientific Awards: Shingo Prize for Excellence in Manufacturing (2004) for 'The Human Side of Mistake-Proofing' John Grout has advised various organizational improvement initiatives and led the development of Berry College’s Creative Technologies program and the HackBerry Lab makerspace. His grants include work supported by the Agency for Healthcare Research and Quality (AHRQ), resulting in influential publications on healthcare process safety. He has also consulted widely with firms to improve operational reliability. He is actively involved in academic leadership, curriculum development, and cross-disciplinary innovation, particularly in integrating technology and entrepreneurship into undergraduate education.

Andrea BeckView profile

Professor

• Numerical Methods
• Computational Fluid Dynamics (CFD)
• Fluid Mechanics
• +7 more

Prof. Dr.-Ing. Andrea Beck is a faculty member and Managing Director of the Institute of Aerodynamics and Gas Dynamics (IAG) at the University of Stuttgart. She leads the Numerical Methods in Fluid Mechanics working group, focusing on high-precision numerical methods for supercomputers, particularly discontinuous Galerkin (DG) methods. Her research spans fluid mechanics, aeroacoustics, plasma physics, and multiphase flows, with applications in wind energy, helicopter systems, and environmental aerodynamics. Role: Professor and Managing Director, IAG Committees: Member of the DFG Review Board, Strategy Committee for National HPC, and steering committee of High Performance Center Stuttgart. Her research emphasizes high-order methods, turbulence modeling, and data-driven approaches. She teaches courses such as 'Numerical Methods in Fluid Mechanics' and 'CFD Programming Projects', and has developed open-source software like FLEXI and HOPR for high-performance computing. Recent articles highlight advancements in entropy-stable DG methods, turbulence simulation using graph neural networks, and multiphase flow modeling. Her work integrates machine learning with CFD to enhance simulation accuracy and efficiency.

• Functional Neuroimaging
• Eating Disorders
• Psychosis
• +3 more

Dr. Owen O'Daly is a Senior Lecturer in the Department of Neuroimaging at King's College London, affiliated with the Institute of Psychiatry, Psychology & Neuroscience. His research focuses on functional neuroimaging to investigate dysregulated motivation and control in eating disorders, as well as the neural mechanisms underlying psychological treatments like transcranial magnetic stimulation (TMS) and exposure therapy. He also explores brain activity changes in conditions such as anorexia nervosa, diabetes-related hypoglycemia, and obesity disorders. Dr. O'Daly leads the MSc Neuroscience: Neuroimaging (B5) module and serves on the Neuroscience MPhil/PhD Sub-Committee. Key collaborators include Prof. Ulrike Schmidt (King's College London), Prof. Rachel Batterham (UCL), and Prof. Stephanie Amiel (King's College London). His work integrates pharmacological imaging, resting-state fMRI, and task-based studies to understand neural correlates of mental health disorders. Recent studies highlight attentional network dynamics in depression, anhedonia-linked brain activity, and predictive biomarkers for treatment responses in fibromyalgia and chronic pain. Notable research themes include the neural basis of failed inhibition in eating disorders, the impact of diazepam on hippocampal connectivity in psychosis risk groups, and the role of subgenual connectivity in major depressive disorder. Dr. O'Daly's collaborative projects span clinical and translational neuroscience, emphasizing translational applications of neuroimaging in mental health treatment.

Alessandra RenziView profile

Associate Professor

• Media Studies
• Data Justice
• Social Movements
• +7 more

Alessandra Renzi is an Associate Professor in Communication Studies at Concordia University in Montreal, Canada. She serves as Graduate Diploma Director in Communication Studies and actively supervises graduate students in Media Studies (MA) and Communication (PhD) programs. Research Focus: Social Movements, Data Justice, Surveillance, Algorithmic Governance, Housing Rights Key Grants: SSHRC Insight Grant on platform economy gentrification, Applied AI Institute funding for PropTech auditing Teaching: Courses on media research methods, discourses of dissent, communication technologies, and alternative media practices Her recent publications examine platformization in Southeast Asia and gentrification in Montreal's Parc Extension neighborhood. She combines ethnography and research-creation methods in her work on technopolitical struggles. Collaborations: Parc Extension Anti-Eviction Mapping Project, Digital Divides Project Media Engagements: CBC, Le Devoir, The Conversation, Boston Globe media appearances

• Optimization under uncertainty
• Machine Learning
• Healthcare Operations
• +6 more

Anh T. Ninh is an Associate Professor in the Department of Mathematics at William & Mary, where he also contributes to the M.S. program in Computational Operations Research within the Department of Computer Science. His academic work bridges mathematics, computer science, and healthcare applications, with a strong focus on optimization and machine learning. Research Interests: His primary research areas include optimization under uncertainty, machine learning, and their applications in healthcare systems, particularly in clinical trial design and pharmaceutical supply chain management. He develops advanced mathematical models to improve decision-making under uncertainty in complex operational environments. Publication Trends: His recent publications reflect a consistent focus on integrating stochastic and robust optimization with real-world healthcare logistics, clinical operations, and pharmaceutical planning. The works demonstrate a strong interdisciplinary approach, combining operations research, data science, and domain-specific knowledge to solve critical problems in health systems. Scientific Awards & Recognition: While no specific awards are listed in the provided text, his research is supported by the Bill & Melinda Gates Foundation, indicating significant recognition and impact in the field. He has also collaborated with major pharmaceutical companies such as Lifecell (now Abbvie), Sandoz, and IntegriChain, highlighting the practical relevance of his work. Advising and Grants: Dr. Ninh advises students through the Computational Operations Research program and leads externally funded research, including an active project on site selection funded by the Bill & Melinda Gates Foundation. His work bridges academia and industry, contributing to both theoretical advances and practical implementations in healthcare operations. Labs and Research Teams: While no formal lab name is mentioned, Dr. Ninh leads a research group focused on computational optimization and machine learning applications in healthcare. His team likely includes graduate students and collaborators from both mathematics and computer science, working on projects related to supply chain resilience, clinical trial efficiency, and data-driven healthcare decision-making.

Vanessa MagnanimoView profile

Professor

• Discrete Element Method (DEM)
• Soil Micromechanics
• Granular Materials
• +4 more

Vanessa Magnanimo is a Full Professor at the MESA+ Institute, University of Twente, specializing in the micromechanics of granular materials and clays using advanced Discrete Element Method (DEM) simulations . Her research bridges micro- and macro-scale behavior of soils, focusing on computational modeling , small-strain stiffness , and material stabilization . She has led 107 research outputs and 2 datasets , including studies on wet granular systems , bio-cemented soils , and vegetated soil mechanics . Recent work includes 2025 publications on coarse-grained DEM and mixing indices in industrial processes. Notable activities include keynote talks at international events (2018–2020), visiting researcher appointments at institutions like 3SR Laboratory (2017) and Politecnico di Bari (2020), and editorial contributions. Her research spans geotechnical engineering , powder technology , and multi-scale modeling , with applications in soil stabilization , industrial powder handling , and eco-mechanical systems .

Nataliia OsinaView profile

Senior Lecturer

• Accounting and Finance
• Asset Pricing
• Banking and Finance
• +5 more

Dr Nataliia Osina is a Senior Lecturer in Accounting and Finance at Anglia Ruskin University’s Faculty of Business and Law, School of Economics, Finance and Law. Located in Cambridge, she maintains an active research and teaching portfolio focused on international finance, banking, and corporate finance. Education Ph.D. in Accounting and Finance, Alliance Manchester Business School (AMBS), University of Manchester MSc in Banking Business (Honours), V. N. Karazin Kharkiv National University BSc in Business Administration, Economics and Banking Business (Honours), V. N. Karazin Kharkiv National University PGCert in Learning and Teaching (Higher Education), Anglia Ruskin University Fellow of the Higher Education Academy (FHEA) Research Interests Nataliia’s scholarship spans international finance , banking , and corporate finance . She explores how global liquidity , capital flow regulations , and governance structures influence cross-border investment and financial stability. Her projects integrate quantitative asset-pricing models with macro-financial policy analysis. Teaching & Supervision She leads the postgraduate module Finance for Decision Making and teaches undergraduate Financial Management . She supervises MSc and PhD students in areas such as portfolio management and international financial markets, emphasizing critical thinking and quantitative skills. Grants & Support Faculty of Business & Law Research Funding Award (DMU, 2022) Alliance Manchester Business School Doctoral Studentship (2015–2018) Institut Louis Bachelier travel grant (2018) V. N. Karazin Kharkiv National University Government Fellowship (Full Scholarship) Professional Memberships Fellow, Advance HE (FHEA) Associate Fellow, Higher Education Academy (AFHEA) Member, British Accounting and Finance Association (BAFA) Reviewer for ABS-listed journals Member, Centre for Inclusive Societies and Economies (CISE) – Inclusive Finance cluster, ARU Labs & Teams She collaborates with the Centre for Inclusive Societies and Economies at ARU, contributing to the Inclusive Finance research cluster that examines equitable financial systems.

Ping ZhouView profile

Associate Professor

• Neurovascular Biology
• Alzheimer's Disease
• Cerebral Amyloid Angiopathy
• +5 more

Ping Zhou is an Associate Professor of Research in Neuroscience at the Brain and Mind Research Institute, Weill Cornell Medical College, where he has been conducting groundbreaking research since 2013. His work focuses on understanding the molecular mechanisms underlying neurovascular dysfunction in Alzheimer's disease and other neurodegenerative conditions. Dr. Zhou received his Ph.D. from the University of Illinois at Urbana-Champaign in 1991 and completed his undergraduate studies at Nanjing University in China in 1982. His educational background provided the foundation for his extensive research career in neuroscience and neurovascular biology. Dr. Zhou's research interests center on neurovascular coupling, cerebral amyloid angiopathy, and mitochondrial mechanisms of neuroprotection. His laboratory investigates how ApoE4 contributes to neurovascular dysfunction, the role of border-associated macrophages in white matter injury, and the neuroprotective functions of prohibitin through S-nitrosylation. His work bridges basic molecular mechanisms with translational applications for treating neurodegenerative diseases. Analysis of Dr. Zhou's recent publications reveals a strong focus on the intersection of neuroinflammation and neurovascular dysfunction in Alzheimer's disease. His work increasingly incorporates single-cell and epigenetic approaches while maintaining a strong emphasis on mitochondrial function and oxidative stress pathways. The research shows a clear progression from basic mechanisms of neurovascular coupling to more complex investigations of macrophage interactions and genetic risk factors like ApoE4. Dr. Zhou currently serves as Principal Investigator on the NINDS-funded project "Role of prohibitin nitrosylation in its neuroprotective functions" (2022-2027) and as Co-Investigator on two additional NINDS grants: "ApoE4, neurovascular injury and cognitive impairment" (2022-2027) and "Dietary sodium, neurovascular dysfunction and cerebrovascular risk" (2021-2026). These projects reflect his continued focus on molecular mechanisms of neuroprotection and vascular contributions to cognitive impairment. While the available information doesn't specify his laboratory structure, Dr. Zhou's extensive publication record spanning over two decades suggests leadership of a productive research team focused on neurovascular biology and neurodegeneration mechanisms.

• Industry 4.0
• Internet of Things (IoT)
• OT/IT Integration
• +4 more

Prof. Dennis Kolberg serves as Professor of Industrial Engineering at Lübeck University of Applied Sciences, holding dual leadership roles as Head of Industrial Engineering Bachelor/Master programs and Head of the Institute for Entrepreneurship and Business Development (IEBD). His career uniquely bridges academic research and industry implementation, with recent executive experience as Chief Product Officer at DIGIMONDO (2020-2023) and co-founding SPARETECH (2019). M.Sc. Industrial Engineering, University of Bremen (2007-2014) Ph.D. in Industrial Engineering, Technical University of Kaiserslautern (2014-2018) focusing on Industry 4.0 and Lean Management Vocational Training as Industrial Clerk, RK Rose+Krieger (2004-2007) His research pioneers the integration of lean production methodologies with digital technologies , specializing in Industry 4.0 implementation and OT/IT convergence for manufacturing environments. Key contributions include developing reference architectures for cyber-physical production systems and optimizing human-machine interfaces through lean automation principles. Current work emphasizes digital transformation in B2B contexts , particularly for software startups in industrial settings. Publications from 2015-2022 reveal a consistent trajectory from foundational CPS architectures toward applied IoT solutions, with recent focus on digital twins for production optimization. His work consistently bridges theoretical frameworks and practical implementation , demonstrating how lean principles enhance digital transformation outcomes in manufacturing. Kolberg actively supervises bachelor's and master's theses at Lübeck University of Applied Sciences, with students registering via email for thesis topics. His industry background informs practical research directions, though specific grant funding isn't detailed in available sources. As IEBD Director, he drives academic-industry partnerships focused on digital entrepreneurship. Leading the Institute for Entrepreneurship and Business Development, Kolberg oversees initiatives connecting academic research with business development in digital manufacturing. Previously at DFKI's SmartFactory KL, he directed research on changeable cyber-physical production systems, establishing methodologies now applied in his current industry collaborations.

Ørjan Grøttem MartinsenView profile

Professor

• Bioimpedance
• Biomedical Physics
• Electronics and Instrumentation
• +3 more

Ørjan Grøttem Martinsen is a Professor of Electronics at the Department of Physics, Faculty of Mathematics and Natural Sciences, University of Oslo. He also holds a temporary research position at the Medical Technology Business Area of Oslo University Hospital. With over three decades of experience, he has established himself as a leading expert in bioimpedance research and applications. Education: High-voltage engineer degree (1983) Cand. scient. in electronics/measurement technology (1990) Dr. scient. with thesis on skin's electrical properties (1995) Professor Martinsen's research centers on bioimpedance—the passive electrical properties of biological tissues that vary with anatomy and physiology. His work spans diverse applications including medical diagnostics (skin cancer detection), food quality assessment (fresh vs. thawed fish), skin condition monitoring (moisture levels), and stress level evaluation. His research bridges physics, engineering, and medical applications, creating practical diagnostic tools from fundamental electrical principles. He has pioneered methods to characterize tissue properties through impedance measurements, with particular focus on electrodermal activity and skin impedance. His recent publications (2022-2025) demonstrate a strong interdisciplinary approach combining bioimpedance with machine learning, robotics, and advanced signal processing. The work spans from fundamental biophysics (GABA detection, tissue characterization) to practical applications (dental anxiety assessment, ADHD treatment evaluation). Key trends include integration of AI with bioimpedance measurements, development of novel sensor systems, and expansion into new application areas like optogenetics and micro-robotics. Awards and Recognition: IEEE Senior Member (2006) CLABIO Award (2012) Fellow at Institute of Physics (FInstP) (2015) Dr. Honoris Causa, Tallinn University of Technology (2018) UiO Innovation Award (2019) Member of Norwegian Academy of Technical Sciences (2021) Professor Martinsen has served as Editor-in-Chief of the Journal of Electrical Bioimpedance since 2010 and was President of the International Society for Electrical Bioimpedance (2010-2016). His research has attracted significant funding, enabling collaborations across engineering, medical, and biological disciplines. He has supervised numerous students and researchers in the Bioimpedance Group at UiO, fostering a strong research environment that bridges theoretical and applied work. His work is conducted primarily through the Oslo Bioimpedance Group and Sensorama SmartSense research teams, which focus on developing innovative measurement techniques and applications of bioimpedance technology. These groups maintain strong collaborations with medical institutions and industry partners to translate research findings into practical healthcare solutions.

Tegwen MalikView profile

Senior Lecturer

• Artificial Intelligence
• Biomimicry
• Water Management
• +5 more

Dr. Tegwen Malik, a Senior Lecturer at Swansea University's School of Management and Senior Fellow of the Higher Education Academy (SFHEA), bridges artificial intelligence research with biomimetic innovations. Her multifaceted roles include Deputy Programme Director for MSc Management, Director of Education and Content at the i-Lab Research Centre, and leadership in the "Global and Social Challenges" theme. Senior Lecturer, School of Management (since 2022) Deputy Director, MSc Management Programme Director of Education, i-Lab Research Centre UKAT Recognised Practitioner in Advising Her research explores Artificial Intelligence applications across sectors, particularly in higher education, and biomimicry innovations for water management in arid regions. Collaborative work spans engineering (Welsh Centre for Printing and Coating), medicine, and management, with external partnerships at Lifescaped, MIT, and ESPCI. Recent publications analyze agentic AI systems , generative AI impacts , and bioinspired water collection mechanisms. The 2023 I3E Conference awarded her for transformative AI research in education. Best Research Paper Award, I3E 2023 Brazil Co-PI on international projects (Lifescaped, MIT, ESPCI) Supervisor for 4 active PhD students Editorial reviewer for Government Information Quarterly and Information & Organisation Dr. Malik also investigates digital marketing adoption , operations management , and international standards , with practical experience in product commercialization and transnational projects. Her teaching focuses on mathematics and analytics for business , reaching over 600 MSc Management students annually.

Hamed NematiView profile

Assistant Professor

• Security of systems software
• Formal methods and program logics
• Interactive theorem proving
• +2 more

Hamed Nemati is an Assistant Professor at the Division of Network and Systems Engineering under the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden. He was previously a Visiting Assistant Professor at Stanford University and a Research Group Leader at the Helmholtz Center for Information Security (CISPA) , where he also worked as a PostDoc and Research Fellow. Education : PhD in Computer Science from KTH Royal Institute of Technology Research Interests : Security of systems software, formal methods and program logics, interactive theorem proving, machine code analysis, applied machine learning Current Projects : Systematic verification of multi-language security protocols, hardware-software co-design for Spectre mitigation, capability-based access control models Scientific Awards : WASP (Wallenberg AI, Autonomous Systems and Software Program) faculty member Teaching Activities : Formal Methods in Security (Fall 2020-2023) at CISPA/Saarland University Digital Forensics and Incident Response (EP2780) (Fall 2024) at KTH