Find Academic Supervisors

Kurt KeutzerView profile

Professor

• Artificial Intelligence
• Deep Learning
• Computer Vision
• +6 more

Kurt Keutzer is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, and a key member of the Berkeley AI Research Lab (BAIR). He holds a Ph.D. in Computer Science from Indiana University (1984) and was previously Chief Technical Officer at Synopsys, Inc. His research focuses on systems issues in deep learning, particularly for computer vision, speech recognition, NLP, and finance. He has published over 250 refereed articles and six books, and is a highly cited author in hardware and design automation. Keutzer has received multiple IEEE Fellowships, DAC awards, and best paper accolades at conferences like Embedded Vision Workshop and ICPP. Educations: 1984, PhD, Computer Science, Indiana University Kurt Keutzer's research interests span Artificial Intelligence , Computer Architecture , and Scientific Computing , with a focus on computational efficiency in AI systems. His work explores hardware-aware neural architecture search, domain adaptation, and quantization techniques to optimize models from edge to cloud. Recent publications highlight advancements in vision transformers , LLM inference efficiency , and autonomous driving . He also contributes to multimodal AI and self-supervised learning frameworks. Scientific Awards: Institute of Electrical & Electronics Engineers (IEEE) Fellow (1996) DAC's Most Influential Paper Award (2023) Top Ten Cited Author and Paper at DAC Best Paper Awards at Embedded Vision Workshop and ICPP Kurt Keutzer has advised numerous Ph.D. and Master’s students, including Forrest Iandola (co-founder of DeepScale), Sheng Shen, and Michael Murphy. His research teams have pioneered hardware-efficient deep learning solutions like SqueezeNet and FireCaffe. Current projects include optimizing large language models (LLMs) for edge deployment and advancing 3D reconstruction for autonomous vehicles. He is also involved in diffusion models , sparse attention mechanisms , and multi-agent coordination for complex tasks.

Loretta J. MickleyView profile

Research Fellow

• Atmospheric Chemistry
• Climate Change
• Air Quality
• +3 more

Loretta J. Mickley is a Senior Research Fellow at Harvard University's John A. Paulson School of Engineering and Applied Sciences. Her research focuses on chemistry-climate interactions in the troposphere , with key topics including wildfire smoke impacts, climate change effects on air quality, and aerosol-radiation interactions. Wildfire smoke and health impacts Climate-air quality feedbacks Aerosol trends and climate forcing Paleo atmospheric chemical cycles Recent research trends span wildfire risk modeling, biomass burning exposure, and air quality sensor optimization. Publications emphasize atmospheric transport , chemical feedbacks , and health disparities in regions like California, Australia, and the Amazon. Her work informs climate policy and public health interventions , particularly in environmental justice communities and rapidly urbanizing tropical regions. She co-leads Harvard's Atmospheric Chemistry Modeling Group .

• Geospatial Information Systems
• Environmental Science and Management
• Photogrammetry and Remote Sensing
• +4 more

Armando Apan is an Honorary Professor at the University of Southern Queensland's School of Surveying and Built Environment. With over 26 years of tertiary teaching experience, he specializes in geospatial technologies and their applications in environmental and agricultural systems. Research interests include remote sensing, GIS, crop stress detection, vegetation mapping, flood monitoring, and land use/cover analysis His work focuses on geospatial data modeling for terrestrial ecosystem observation and climate change response. He has taught courses such as GIS3406 Remote Sensing and GIS1402 Geographic Information Systems. Qualifications: BSc (Phillipines), MSc (Asian IT), PhD (Monash) Languages: English, Tagalog (non-accredited translator) Professional Affiliations Fellow, Surveying and Spatial Science Institute (Australia) Institute for Life Sciences and the Environment (ILSE) Centre for Sustainable Agricultural Systems (CSAS)

Wendy MeiringView profile

Professor

• Statistical Methods for Brain Imaging
• Spatial and Temporal Processes
• Computational Statistics
• +4 more

Wendy Meiring is a Professor in the Department of Statistics and Applied Probability at the University of California, Santa Barbara. Her research focuses on statistical methods for analyzing complex data in neuroscience, environmental science, and biomedical applications. She specializes in spatial and temporal processes, computational statistics, machine learning, and uncertainty quantification. Her work integrates advanced statistical techniques with real-world challenges, such as analyzing brain imaging data, pharmacokinetic models, and environmental monitoring. She has contributed to methodologies for functional data analysis, clustering-based correlation estimation, and spatial-temporal modeling. Dr. Meiring has published extensively in top journals, including The Journal of Computational and Graphical Statistics , focusing on topics likeFréchet regression, pharmacokinetic modeling, and environmental phenology. Her research bridges theoretical statistics with practical applications in health, neuroscience, and ecology. She collaborates across disciplines, contributing to programs like the Interdepartmental Graduate Program in Dynamical Neuroscience at UCSB. Her lab develops innovative statistical tools for analyzing high-resolution datasets, emphasizing reproducibility and methodological rigor.

Andreas StahlView profile

Professor

• Ophthalmology
• Retinopathy of Prematurity
• Angiogenesis
• +3 more

Prof. Dr. med. Andreas Stahl is a faculty member at the University of Greifswald , serving as the Director of the University Eye Clinic . His work integrates clinical practice and research in ophthalmology, with a focus on retinal diseases. University: University of Greifswald Role: Director of the Clinic Contact: clinic-management-eyes@med.uni-greifswald.de Research Interests: Stahl’s research centers on retinopathy of prematurity (ROP) , anti-VEGF therapies , angiogenesis , and diabetic retinopathy . He explores pathophysiological mechanisms and innovative treatments for retinal vascular disorders, collaborating across disciplines to improve neonatal and adult ophthalmological outcomes. Recent Publications: His 2021–2022 work includes clinical decision support tools for ROP screening, comparative studies of ranibizumab and laser therapy, and analyses of retinal vascular occlusion post-COVID vaccination. These reflect his commitment to advancing treatment protocols and understanding disease mechanisms. Teaching: Involved in student education and e-learning development for ophthalmology. Projects: Participates in the INTERREG European Region Pomerania (INT118) initiative.

• Scientific Computing
• Numerical Analysis
• Applied Mathematics
• +5 more

Eirik Valseth is an Associate Professor of Scientific Computing at the Norwegian University of Life Sciences (NMBU), Department of Data Science. He holds concurrent roles as a research associate at the Oden Institute, University of Texas at Austin, and an affiliated researcher at Simula Research Laboratory (Department of Numerical Analysis and Scientific Computing). His expertise lies in advanced finite element methods for PDEs with applications in flood modeling and hydropower systems. Current Affiliation: NMBU (Norwegian University of Life Sciences) Secondary Affiliations: Oden Institute (UT Austin), Simula Research Laboratory Research interests span numerical methods for challenging PDE systems, including: Stabilized finite element formulations Hurricane storm surge and riverine flood modeling Hydropower infrastructure analysis Computational mechanics and applied mathematics His recent publications (2024–2025) emphasize flood risk assessment (compound flooding, dam breaks, dredging impacts), advanced numerical methods (isogeometric analysis, stochastic finite elements, graph-grammar algorithms), and environmental applications (pollution transport, pathogen distribution, mosquito population dynamics after hurricanes). Key trends include cross-disciplinary integration of physics-aware machine learning and robust hydrodynamic simulation tools. Valseth's work extends to software development (e.g., WAVEx for spectral wave models, SWEMniCS for coastal circulation) and large-scale modeling frameworks like the ADCIRC unstructured mesh model for US coasts. Collaborative projects involve institutions such as University of Texas at Austin, Simula, and NOAA.

Andrew JacobsonView profile

Associate Professor

• GIS
• Drones
• Conservation Biology
• +3 more

Andrew Jacobson is an Associate Professor of GIS & Conservation at Catawba College, affiliated with the Department of Environment & Sustainability and the Center for the Environment . His career bridges geospatial technology with wildlife conservation, focusing on species distribution in human-impacted landscapes. Education: B.A. in Environmental Studies, St. Olaf College M.E.M. in Environmental Management, Nicholas School of the Environment Ph.D. in Geography, University College London His research explores the intersection of GIS, drones, and carnivore conservation , particularly for species like lions, cheetahs, and hyenas in East Africa. He investigates how human activities fragment habitats and affect large carnivore populations, while developing geospatial workflows to enhance conservation assessments. Recent publications highlight trends in species distribution modeling, biodiversity threat analysis, and policy critique . Notable topics include the limitations of the IUCN Red List, human-wildlife conflict in savannahs, and the role of geospatial tools in identifying low-impact zones for conservation. At Catawba College, Jacobson collaborates with students, faculty, and local organizations to advance conservation science. He previously served as a Science and Geospatial Advisor to the National Geographic Society, prioritizing global wild places for protection.

• Business Administration
• Operations Research
• Supply Chain Management
• +6 more

Prof. Dr. Julia Rieck is a Full Professor of Business Administration at the University of Hildesheim , leading the Department of Business Administration and Operations Research within the Faculty of Mathematics, Natural Sciences, Economics and Computer Science. As Dean of the Faculty , she oversees academic programs, quality management, and research initiatives. Her roles include academic advising for the Business Information Systems (B.Sc./M.Sc.) programs and active participation in examination boards and quality committees. Education: PhD in Political Science (Dr. rer. pol.) with summa cum laude (2008), Habilitation at Clausthal University of Technology (2014), and studies in Business Mathematics (Diploma, University of Hamburg, 2003) and Mathematics (Georg-August-University Göttingen, 2000). Research: Focuses on Operations Research , Supply Chain Management , Project Planning , and Logistics . Her work integrates mathematical modeling , machine learning , and real-world applications , particularly in disaster response , dynamic transportation , and sustainable e-commerce . Projects: Leads third-party funded initiatives like "IT für die sorgende Gesellschaft" (AI in healthcare/social sectors) and contributes to the HULLS real-lab (AI in aging societies). Collaborates with regional companies (e.g., Youco, ADITUS) and institutions (HAWK, University of Hannover). Teaching: Emphasizes practical application through case studies, industry partnerships, and the IT-Speed Dating event for student-company connections. Her courses cover project resource planning , logistics , and digital transformation . Labs & Teams: Active in the Institute of Business Administration & Business Information Systems , contributing to the KET Kompetenzwerkstatt (entrepreneurship support) and interdisciplinary teams in AI and sustainability research.

• Operations Research
• Public Transport Systems
• Digital Transformation
• +3 more

Leif Sörensen is a researcher at the University of Hildesheim , affiliated with the Institute of Business Administration and Business Informatics within the Faculty of Mathematics, Natural Sciences, Economics and Computer Science . His work focuses on operations research and digital transformation in public transport systems, particularly examining flexible transport models, agent-based simulations, and geoinformation system integration. Core Affiliations Researcher (since 2023) - HAWK Hochschule für Angewandte Wissenschaft und Kunst, Holzminden Doctoral Researcher - Institute of Business Administration and Business Informatics, University of Hildesheim Former Student Assistant - TU Dresden and Max Planck Institute for Self-Organization Research Focus: Sörensen's research bridges transport policy , agent-based modeling , and data analytics . He investigates how digital transformation can enhance rural mobility through flexible public transport systems , with emphasis on contractual incentives for drivers and stochastic behavior prediction . His work spans both developed and developing economies , particularly analyzing informal transit systems in South Africa. Publication Trends: Recent articles demonstrate a strong focus on operations research in transport contexts, with 7/9 publications involving agent-based simulations and DRT (Demand-Responsive Transport) . Keywords cluster around urban mobility , digital transformation , and transport resilience , while sub-fields reveal expertise in dynamic routing algorithms , passenger acceptance metrics , and GIS-integrated transport planning . Key Projects Co-author on European Commission-funded transport safety modeling Participant in Smart Hybrid research initiative (44 co-publications) Contributor to International Transportation Economics Association conferences Academic Background: Holds degrees in International Economics (University of Göttingen) and International Business and Development (University of Bayreuth). Completed internships at UNECE Geneva and KfW Entwicklungsbank Pretoria , with fieldwork in South Africa and Japan .

Moe MojtahediView profile

Senior Lecturer

• Construction Management
• Urban and Regional Planning
• Operations Research
• +8 more

Dr Moe Mojtahedi is a Senior Lecturer at the School of Built Environment, University of New South Wales (UNSW). He earned his PhD in 2014 from the School of Civil Engineering at the University of Sydney. As a certified Project Management Professional (PMP) and Professional Engineer (PEng) accredited by Engineers Australia, Dr Mojtahedi bridges academic research with practical application in construction management and disaster risk reduction. PhD (University of Sydney, 2014) MEngSc (University of New South Wales) B.E. (Industrial), Professional Engineer (Australia) His research focuses on the intersection of construction management , urban resilience , and disaster risk reduction , particularly examining: Climate change adaptation in infrastructure Post-disaster recovery frameworks Lean construction methodologies Decision support systems for risk management Evacuation planning optimization Resilient hospital infrastructure Recent publications analyze trends in disaster science using computational modeling, prefabricated construction for industrial buildings, and AI/ML applications in aged care facility evacuation. His 2025 ChemistryOpen article explores sustainable reaction media for chemoselective processes, demonstrating interdisciplinary reach. Scientific recognition includes: Research Excellence Awards (Engineers Australia, 2012 & 2013) Best Conference Paper (ICES, Salford, 2017) Elsevier Outstanding Contribution Award (International Journal of Project Management, 2017) Learning and Teaching Excellence (UNSW, 2017) As a supervisor, he guides 7 PhD candidates and has mentored 4 graduates, including Mahmoud Ershadi (project management office effectiveness) and Kamyar Kabirifar (construction waste management). He contributes to policy discussions on aligning National Construction Code with UN Sendai Framework and advocates for disaster science integration in built environment practices. His media contributions examine hospital flood risks and climate change adaptation in Australia.

Federica SandroneView profile

Lecturer

• Rock Mechanics
• Tunnel Engineering
• Underground Construction
• +4 more

Federica Sandrone is a Lecturer at the School of Architecture, Civil and Environmental Engineering (ENAC) at École Polytechnique Fédérale de Lausanne (EPFL), where she also serves as a Scientist at the Laboratory of Experimental Rock Mechanics (LEMR) within the Institute of Civil Engineering. Her academic career spans over 15 years with continuous contributions to tunnel engineering and rock mechanics research. Her research focuses on the intersection of rock mechanics and tunnel engineering, with particular expertise in tunnel pathology analysis, TBM performance in challenging geological conditions, and long-term tunnel behavior. Sandrone's work bridges theoretical analysis with practical engineering applications, addressing real-world problems in tunnel infrastructure management and maintenance. Her research methodology combines field investigations, laboratory testing, and numerical modeling to understand complex geomechanical behaviors. Analysis of her recent publications reveals a consistent focus on tunnel inspection methodologies, TBM performance prediction in difficult ground conditions, and the long-term behavior of tunnel structures. Her work has evolved from fundamental tunnel pathology studies to more advanced applications involving GIS integration, probabilistic modeling, and modern inspection techniques including laser scanning and image analysis. Engineer at SBB-Infrastructure (2008-present) responsible for Tunnels Management and Maintenance Assistant for Tunnel Engineering courses (2007-present) PhD supervision including Erika Paltrinieri's 2015 thesis on TBM performance Development of tunnel inspection methodologies and condition assessment procedures Her teaching activities include courses in Rock Mechanics and Underground Construction, where students learn about the mechanical behavior of rock materials, tunnel excavation and support design, planning and management of underground works, and risk assessment in tunnel construction.

Peter IrgaView profile

Senior Lecturer

• Nature-based air treatment technologies
• Phytoremediation
• Green walls (Phytosystems)
• +6 more

Peter Irga is a Senior Lecturer and ARC DECRA Fellow at the University of Technology Sydney's School of Civil and Environmental Engineering, Faculty of Engineering and Information Technology. He is globally recognized as a leader in nature-based biological air treatment technologies, particularly green wall systems (Phytosystems), with current worldwide ranking #1 in his research topic (SciVal Topic T.37087). Dr Irga's research focuses on innovative nature-based solutions for urban air pollution challenges, including phytoremediation technologies, biosolar green roofs, and agrivoltaics. His work bridges environmental engineering with practical urban applications, examining the performance of nature-based systems in real-world settings to quantify their value and identify development opportunities. His research demonstrates how living infrastructure provides cities with natural beauty while improving human health and wellbeing, addressing UN Sustainable Development Goals 11 (Sustainable Cities), 13 (Climate Action), 15 (Life on Land), and 3 (Good Health). His research portfolio includes 80+ publications with an H-index of 30 and $5.21M in research income, including ARC funding. Industry recognition includes $4.54M in high-level consultancies. His work spans multiple disciplines including atmospheric science, environmental engineering, and sustainable materials development, with particular emphasis on practical implementation of green infrastructure solutions in urban settings. Tall Poppy Science Award (2022) from the Australian Institute of Policy and Science ARC DECRA Fellow (2021-2024) Chancellor's Postdoctoral Research Fellow (2018-2021) Dr Irga actively supervises Masters and PhD students and coordinates Postgraduate Environmental Engineering and Water Engineering programs. His funded research includes Sustainable High-Performance Transitory Structures using Biobased Materials (2025-2026), Bradfield Green and Bio-Solar Roof Monitoring (2025), and Plantabox for Targeting the Urban Heat Island Challenge (2024-2025). He collaborates with industry partners including Junglefy, Ambius, Bradfield Development Authority, and City of Sydney.

• Computer Vision
• Machine Learning
• Human Pose Estimation
• +3 more

Robert Collins is an Associate Professor in Computer Science and Engineering, with a focus on computer vision and human motion analysis. His research spans topics such as human pose estimation, crowd dynamics, stability quantification, and 3D scene understanding. He has contributed extensively to tracking algorithms, motion modeling, and applications in biomechanics and surveillance. Notable projects include NSF-funded work on crowd analysis, partial body model fitting, and sensor network overlays. His recent publications address stability from video, alignment of pose sequences, and vanishing point detection. Research interests emphasize vision-based human motion analysis , tracking in complex scenarios , and 3D reconstruction . Trends in his work include leveraging mean-shift belief propagation , spatiotemporal models , and deep learning for applications in biomechanics, urban scenes, and rehabilitation engineering.

Mara Pasquamaria SquicciariniView profile

Associate Professor

• Economic History
• Economic Growth
• Cultural Economics
• +3 more

Mara Pasquamaria Squicciarini is an Associate Professor of Economics at Bocconi University and holds affiliations with leading research institutions including the Centre for Economic Policy Research (CEPR), Innocenzo Gasparini Institute for Economic Research (IGIER), and Center for Economic Studies and Ifo Institute for Economic Research (CESifo). Her academic work bridges economic history, growth studies, and cultural economics. Ph.D. from University of Leuven Postdoctoral Researcher at Northwestern University Visiting Scholar at Harvard, Stanford, and UCLA Her research investigates how religion, culture, and human capital shape industrialization and economic progress. Key themes include: Historical impacts of religious institutions on development Cultural determinants of technological adoption Migration patterns of scientists and innovators Economic consequences of fake news and discrimination Recent publications examine: Religious leadership's influence on political outcomes Productivity growth during French industrialization Geospatial analysis of misinformation in India Historical ties between religiosity and scientific mobility She contributes to major journals including the American Economic Review and Science, and co-edited Oxford University Press's Economics of Chocolate .

Paul BrindleyView profile

Senior Lecturer

• Digital Representations of Landscape
• GIS Mapping
• Health Inequality
• +5 more

Dr. Paul Brindley is a Senior Lecturer at the School of Architecture and Landscape , University of Sheffield, specializing in geospatial analysis of human-landscape interactions. His work combines GIS, statistics, and digital data to address urban greenspace equity, rural-urban classification, and health-environment linkages. Senior Lecturer in GIS and Spatial Analysis Key researcher in the NERC-funded Improving Wellbeing through Urban Nature (IWUN) project Co-author of official Rural-Urban Classification for England and Wales Research focuses on: Urban Greenspace Accessibility using GPS and social media data Health Inequality Mapping through epidemiological GIS studies Vague Geographic Objects modeling of subjective spatial boundaries Computational Neighborhood Mapping via web data mining Project leadership includes: 2016-2019: IWUN Work Package 1 (Sheffield health-green space analysis) 2013-2014: Rural-Urban Classification updates for 2011 Census 2015: Real-Time Bus Data Mapping system development Teaching modules: LSC119: The Changing Landscape LSC336: Landscape Planning Toolkits LSC5020: Rural Landscape Planning GIS Workshops Professional contributions: Co-developer of Crime Map Analyst toolkit for non-GIS experts Joint Director of Learning and Teaching Links Member of Creative Spatial Practices initiative