Find Academic Supervisors

William EiseleView profile

Researcher

• Transportation Planning
• Access Management
• Urban Development Impacts
• +4 more

William (Bill) Eisele serves as a Senior Research Engineer and Program Manager at Texas A&M University's Department of Landscape Architecture & Urban Planning. His work focuses on transportation systems, freight mobility, and urban development impacts. Eisele holds a Ph.D. (Civil Engineering, Texas A&M, 2001), M.S. (Civil Engineering, Michigan State, 1994), and B.S. (Civil Engineering, Michigan State, 1993). Research Interests: Dr. Eisele’s expertise spans Transportation planning and access management, Freight mobility optimization, Congestion monitoring, Transportation system performance measurement, Urban land development impacts, Sustainable infrastructure design. Recent Work Trends: His publications emphasize data-driven solutions for freight challenges, including truck parking behavior, cargo consolidation, and port fluidity. Recent studies apply machine learning to predict driver route choices and evaluate real-time mobility tools. He also explores historical trends in urban freight logistics to guide future innovations. Grants & Advising: While no specific grants or advisees are listed, his extensive publications reflect collaborative work with institutions like the Texas A&M Transportation Institute. He has contributed to statewide programs like Oregon’s operations performance measures and Maryland’s freight fluidity initiatives. Labs/Teams: His affiliations suggest involvement with interdisciplinary teams focusing on transportation systems, though specific lab names are not mentioned in the source text.

• Traffic Psychology
• Driving Behavior
• Road Safety
• +3 more

Karel Brookhuis is a Professor in Clinical Neuropsychology at the Faculty of Behavioural and Social Sciences. His research focuses on traffic psychology, driving behavior analysis, and transportation safety, particularly examining the effects of medications, impairments, and environmental factors on road users. Brookhuis utilizes driving simulator methodologies to investigate behavioral patterns in controlled environments. His research examines: Psychopharmacological impacts on driving performance Safety adaptations for visually impaired cyclists Alcohol consumption effects on next-day functioning Road engineering and speed limit compliance Publications demonstrate consistent focus on transportation neuropsychology with recent emphasis on medication effects and vulnerable road users. Awarded a Royal Decoration for scientific contributions, he has supervised 19 research students and contributes to European transportation safety initiatives.

Erzhuo CheView profile

Assistant Professor

• Geomatics
• 3D Point Cloud Processing
• Lidar Data Analysis
• +5 more

Erzhuo "Ezra" Che is an Assistant Professor in the Department of Civil and Construction Engineering at Oregon State University's College of Engineering. His research focuses on 3D point cloud processing, geospatial data analysis, and infrastructure asset management. He teaches courses in 3D laser scanning, digital terrain modeling, and advanced point cloud programming. Education: Ph.D., Civil Engineering (Geomatics), Oregon State University, 2018 M.S., Photogrammetry and Remote Sensing, Wuhan University, 2015 B.Eng., Photogrammetry and Remote Sensing, Wuhan University, 2012 His research interests include lidar technology applications, automated infrastructure assessment, deformation monitoring, and error modeling. Recent work emphasizes ADA compliance evaluation using 3D point clouds and mobile lidar for road marking analysis. Dr. Che has received notable awards such as the 2022 Geo Week Achievement Award and the 2021 Martin Isenburg Best Paper Award. His projects include mapping historical structures at Silver Falls State Park and developing frameworks for efficient point cloud segmentation. His teaching and research bridge geomatics with civil engineering challenges, focusing on practical solutions for infrastructure maintenance and disaster resilience.

Lu XingView profile

Associate Professor

• Energy System Modeling
• Sustainable Energy Storage
• Artificial Intelligence in Green Energy
• +4 more

Lu Xing is an Associate Professor in the Mechanical and Construction Engineering Department at Northumbria University. His research focuses on energy system modeling, sustainable energy storage, and AI-driven green energy solutions. He holds a PhD in Mechanical and Aerospace Engineering from Oklahoma State University, alongside master's and bachelor's degrees in related disciplines. Key roles include Principal Investigator for over £14 million in research projects funded by UK EPSRC, Innovate UK, and energy companies. He co-founded Continuous Power as Chief Scientist and advised the ICURe Programme. His work addresses UN Sustainable Development Goals, particularly energy transition and environmental sustainability. Research interests span PEM fuel cells, hydrogen integration, battery systems, and AI applications in energy optimization. He has published 70+ papers in top journals/conferences and delivered keynote speeches at events like the 29th CSCST-SCI Conference. He chairs sessions at international conferences such as EcoMat 2024. Current projects include optimizing building multi-energy systems with green hydrogen, improving fuel cell performance through novel cooling designs, and developing fault diagnosis models for HVAC systems using machine learning. Advising: Accepting PhD students for projects in energy system modeling, AI for green energy, and sustainable materials. Over 20 research projects demonstrate expertise in cross-sector collaboration (academia, industry, government). Labs/Teams: Leads Northumbria's Energy Systems Research Group, collaborating internationally on projects funded by the US Department of Energy and Oak Ridge National Laboratory.

Elisabeth Huis in 't VeldView profile

Assistant Professor

• Cognitive Neuroscience
• Artificial Intelligence
• Medical Psychology
• +4 more

Elisabeth Huis in 't Veld is an Assistant Professor at Tilburg University's Department of Cognitive Science and Artificial Intelligence, part of the Tilburg School of Humanities and Digital Sciences. She also serves as Group Leader for Donor Cognition at Sanquin in Amsterdam and co-founded AINAR B.V., a company focused on AI applications in healthcare (https://www.ainar.io). Her research spans cognitive neuroscience, medical psychology, and AI-driven solutions for health challenges. Key interests include vasovagal reactions during needle procedures, serious games for decision-making studies, and blood donor behavior analysis. Recent projects include developing predictive models for vasovagal responses using facial analysis and creating the 'Sustainable Port' serious game to study expert decision-making in port management scenarios. Publications highlight interdisciplinary work, blending AI techniques (e.g., CNNs, time-series classification) with clinical and behavioral insights. Her work addresses real-world challenges in healthcare, donor recruitment, and game-based training systems. Professional affiliations include leadership roles in academic and industry collaborations, emphasizing translational research between cognitive science and practical health applications.

• Occupational Ergonomics
• Biomechanics
• Human Factors Engineering
• +3 more

Aanuoluwapo Ojelade is a Distinguished Research Fellow in the Department of Industrial and Systems Engineering at the University at Buffalo, School of Engineering and Applied Sciences. His work bridges occupational ergonomics, biomechanics, and construction safety through advanced technologies. Education: PhD, Industrial and Systems Engineering, Virginia Tech University MEng, Industrial and Systems Engineering, Virginia Tech University BEng, Civil Engineering, Osun State University Research Interests: Focus on exoskeleton technology for construction workers, biomechanical analysis of manual tasks, and motion capture systems for ergonomic evaluation. His studies address physical demand reduction, workplace interventions, and technology adoption barriers. Recent Article Trends: Leverage machine learning (random forest, recurrent neural networks) for ergonomic analysis, compare exoskeleton efficacy across industries (construction, mining), and evaluate demographic impacts on technology readiness. Markerless motion capture and EMG-based force prediction are recurring methodologies. Contact: 317 Bell Hall, University at Buffalo, aojelade@buffalo.edu, (716) 645-4721.

Filippo MalandraView profile

Assistant Professor

• Internet of Things
• Wireless Communications
• 5G/4G Cellular Networks
• +4 more

Filippo Malandra is an Assistant Professor in the Department of Electrical Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on Internet of Things (IoT), wireless communications, 5G/4G cellular networks, network performance analysis, smart grid communications, optimization, and machine learning applications. PhD in Electrical Engineering from École Polytechnique de Montréal Master of Engineering in Telecommunications Engineering from Politecnico di Milano Bachelor of Engineering in Telecommunications Engineering from Politecnico di Milano His research interests include experimental testbed development for 5G-enabled smart grids, analytical modeling of cellular network delays, and machine learning frameworks for optimizing network performance under environmental factors. He has contributed to tools like WTTool for 5G network simulation and PeRF-Mesh for RF-mesh network analysis. Recent work emphasizes 5G testbed experimentation (e.g., ExTODS), weather-based signal prediction, and CBRS spectrum analysis. He has explored synergies between federated learning and O-RAN architectures for elastic network services. Active service roles include TPC Member for IEEE SECON 2019 and reviewer for IEEE journals and conferences like DRCN. Recipient of NSF CRII grant (2021) for CNS research on IoT-aware dynamic spectrum sharing. Collaborates on projects like UBSpot (aerial-ground wireless networks) and smartDESC (distributed energy storage control).

David SalacView profile

Associate Professor

• Computational Fluid Dynamics
• Material Systems with Moving Interfaces
• Numerical Methods
• +2 more

David Salac, PhD, is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on computational fluid dynamics, material systems with moving interfaces, numerical methods, directed self-assembly, and high performance computing. He holds a PhD and MS from the University of Michigan (2007) and a BS from Michigan Technological University (2002). Education: PhD in Mechanical Engineering, University of Michigan, 2007 MS in Mathematics, University of Michigan, 2007 BS in Mechanical Engineering, Michigan Technological University, 2002 His research interests span computational modeling of fluid-structure interactions, vesicle dynamics, and advanced material systems. He has developed numerical methods for partial differential equations and explored applications in biophysics and materials science. Recent work includes studies on microplastic transport, ceramic matrix composites, and membrane physics. Salac has received the NSF CAREER Award (2013) for his work on electrohydrodynamics of vesicles. His publications emphasize interdisciplinary approaches to fluid dynamics and materials science challenges. His advising and grants include contributions to NSF-funded research and collaborative projects in computational engineering. He maintains active research in labs focusing on computational mechanics and soft matter systems.

Luis G. ArboledaView profile

Associate Professor

• Geotechnical Engineering
• Soil-Structure Interaction
• Geotechnical Earthquake Engineering
• +7 more

Luis G. Arboleda is an Associate Professor in the Department of Civil, Environmental and Construction Engineering at the University of Central Florida, College of Engineering and Computer Science. His research expertise spans geotechnical engineering, soil-structure interaction, numerical modeling, and earthquake engineering, with a focus on infrastructure resilience and underground construction. Education: Ph.D. in Geotechnical Engineering, Northwestern University, 2014 M.S. in Structural Engineering, Purdue University, 2006 B.S. in Civil Engineering, National University of Colombia, 2004 Dr. Arboleda's research interests include soil-structure interaction, geotechnical earthquake engineering, soil liquefaction, constitutive modeling of soils and rocks, field and laboratory testing, and sinkhole geomechanics. His work integrates advanced numerical simulations with experimental validation to improve the analysis and design of geostructures such as deep excavations and foundations. He has made significant contributions to understanding the nonlinear-inelastic behavior of soil and structures under seismic and construction loads. The trend in his recent publications reflects a strong emphasis on numerical modeling of soil-structure systems, particularly in deep excavations and tall buildings subjected to seismic and dynamic loading. His work bridges geotechnical and structural engineering, advancing predictive capabilities for ground deformations, soil response, and structural performance. Key themes include nonlinear modeling, field validation, and performance-based design under extreme events. Scientific Awards: Outstanding Reviewer, Journal of Geotechnical and Geoenvironmental Engineering (ASCE), 2021 Fellowship, Second Early Career Workshop for Junior Geotechnical Faculty, Case Western Reserve University, 2018 Dr. Arboleda actively advises graduate students and contributes to major research initiatives, including infrastructure protection from hurricanes. He has led and co-authored numerous studies on excavation-induced movements, seismic soil-structure interaction, and constitutive modeling. His prior industry experience at Janssen and Spaans Engineering Inc. informs his applied research on bridge and infrastructure systems. He is involved in research teams focusing on geotechnical performance, numerical simulation, and infrastructure resilience. His lab work includes laboratory testing of soils and advanced numerical modeling using finite element and hypoplasticity frameworks.

• Nuclear Reactor Safety
• Thermal-Hydraulics
• Computational Fluid Dynamics (CFD)
• +3 more

Satya Prakash Saraswat is a Postdoctoral Researcher at KTH Royal Institute of Technology's Nuclear Science and Engineering Unit in Stockholm, Sweden. He holds a Ph.D. from the Indian Institute of Technology Kanpur, with expertise in thermal-hydraulics, nuclear reactor safety, computational fluid dynamics (CFD), and system code development. His work spans fission and fusion reactor analysis, including contributions to the VALIDATIO project (University of Pisa) for fusion safety tools and the ATLAS project (Khalifa University) for advanced reactor safety enhancements. Research interests focus on computational modeling, AI integration in nuclear safety, and experimental validation of safety systems. He has developed skills in both experimental and numerical techniques, addressing challenges in multiphase flow, reactor core dynamics, and material compatibility. Key projects include validation of ASYST and SIMMER codes for condensation phenomena and lead-lithium interaction studies. Publications highlight advancements in burn-up wave characterization, code stability analysis (RELAP5/SIMMER), and thermal-hydraulic safety assessments for reactors like ESBWR and ITER systems. His work emphasizes enhancing safety tools through rigorous validation and innovative methodologies.

Jennifer J. BlackhurstView profile

Adjunct Professor

• Supply Chain Risk Management
• Supply Chain Disruption Management
• Supplier Assessment and Selection
• +6 more

Jennifer J. Blackhurst is an Adjunct Professor in the Department of Business Analytics at the Tippie College of Business, University of Iowa. She has held several key academic and administrative roles, including Professor in Business Analytics (2021–2025), Associate Dean for Graduate Professional Programs (2020–2025), and the Leonard A. Hadley Chair/Professor in Business Analytics (2019–2024). Her career reflects deep engagement in supply chain research, academic leadership, and editorial contributions to top journals. Her research focuses on supply chain risk and disruption management, supplier assessment and selection, supply chain coordination, and innovation. She explores how organizations can build resilience through strategic adaptation, network design, and behavioral competencies. Her work integrates complex systems theory, empirical analysis, and data-driven modeling to address real-world supply chain challenges. The recent publications highlight a strong trend in understanding supply chain resilience through network science, agent-based modeling, and systemic risk frameworks. Her research spans both technical and human dimensions, examining not only structural vulnerabilities but also organizational behaviors and knowledge-based competencies that influence risk mitigation. Key themes include disruption propagation, robustness measurement, and the dual role of innovation in both enhancing performance and potentially increasing vulnerability. Scientific Awards and Honors: Best Paper Award - Transportation Journal and APICS, 2018 Outstanding Associate Editor - Decision Sciences Journal, 2017 MBA Business Analytics Professor of the Year - Tippie College of Business, 2017 Outstanding Associate Editor - Decision Sciences Journal, 2013 Emerging Leaders Academy - Iowa State University, 2013 - 2014 Citations of Excellence Award - Emerald Management Reviews, 2011 Jennifer Blackhurst has played a significant role in academic service through editorial and review activities, serving as Senior Editor for the Journal of Business Logistics and on the editorial boards of several leading journals including IEEE Transactions on Engineering Management , Decision Sciences Journal , and Journal of Operations Management . While no formal advising or grant information is listed, her leadership roles and extensive publication record suggest active mentorship and research supervision. She is a member of the Council for Supply Chain Management Professionals and the Decision Sciences Institute, further demonstrating her national engagement in the field.

• Urban Water Management
• Nature-Based Solutions
• Circular Economy
• +7 more

Bernhard Pucher is a Senior Scientist at the Institute of Sanitary Engineering, Industrial Water Management and Water Pollution Control (SIG), within the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). He holds a doctorate in technical natural sciences and is actively leading and participating in multiple research projects focused on urban water management and nature-based solutions. His research interests lie at the intersection of urban sustainability and environmental engineering, with a strong focus on urban water management , circular economy , nature-based solutions , treatment wetlands , vertical greening systems , and greywater treatment . His work emphasizes process-based modeling of water and solute transport, particularly using the HYDRUS software, to optimize the design and performance of decentralized water treatment systems. The recent articles highlight a consistent trend in developing and evaluating nature-based technologies for sustainable urban water cycles. Key themes include the performance assessment of vertical and horizontal flow wetlands, numerical modeling for design optimization, the multifunctionality of green walls for cooling and water reuse, and the integration of blue-green infrastructure into circular city frameworks. His research bridges technical modeling with practical implementation, aiming to quantify resource recovery and improve urban resilience. Board member of the IWA national committee Austria (2023) Member of the Management Committee, IWA Specialist Group on 'Wetland Systems for Water Pollution Control' (2019) Active reviewer for journals including Chemical Engineering Journal , Science of the Total Environment , and Water Science and Technology Served on scientific advisory boards for major conferences like WETPOL and IWA ecoSTP He has supervised numerous master’s theses on topics such as greywater use for vertical greening, treatment performance of living walls, and modeling of rainwater use. His projects are funded by diverse sources including the European Commission (Horizon), FFG, national companies, and private foundations, demonstrating strong grant acquisition capability. He is also involved in knowledge transfer through public reports, media contributions, and participation in policy-relevant seminars. Bernhard Pucher is a key member of a research team that includes collaborators like Günter Langergraber, Ulrike Pitha, and Isabella Zluwa. His work is often conducted within interdisciplinary projects such as 'resilientRAIN', 'UrBan hEat islands REsilience', and the EU COST Action 'Circular City Re.Solution', reflecting a collaborative approach to addressing complex urban environmental challenges.

• Robotics
• Bio-Inspired Robotics
• Swarm Intelligence
• +7 more

Jordan Boyle is an Assistant Professor in the Department of Sustainable Design Engineering at the Faculty of Industrial Design Engineering, Delft University of Technology (TU Delft). He is affiliated with the Materializing Futures Section, where he conducts research in robotics, bio-inspired systems, swarm intelligence, and human-robot interaction. Academic Background: PhD in Computer Science, University of Leeds – focused on neuro-mechanical control of locomotion in C. elegans . MSc and BSc (Hons) in Electrical Engineering, University of Cape Town. Prior academic experience at the University of Leeds as Research Fellow, Lecturer, and Associate Professor over 12 years. Research Interests: Dr. Boyle’s research centers on robotics with a strong emphasis on bio-inspired design. His work spans swarm intelligence , multi-robot systems , human-robot interaction , and robotic fabrication . He also specializes in designing experimental apparatus for pre-clinical and engineering applications. His interdisciplinary approach integrates mechanical design, control systems, and AI for real-world deployment in construction, medicine, and infrastructure. Publication Trends: His recent publications (2022–2024) demonstrate a clear trajectory toward bio-inspired autonomous systems applied in construction and medical imaging. Key themes include swarm robotics for construction, MRI trajectory correction with robotic components, and locomotion mechanisms inspired by biological systems. These works reflect strong interdisciplinary collaboration, particularly with biomedical and mechanical engineering teams. Teaching: Product Engineering (2024, 2025) Advanced Product Engineering (2024, 2025) Scientific Affiliations and Activities: Visiting Researcher, School of Mechanical Engineering, University of Leeds (2022–2026) Advising and Grants: While no formal students or specific grants are listed in the provided text, Dr. Boyle has supervised research projects and collaborated across disciplines, particularly in medical and civil engineering applications. His role in designing experimental apparatus indicates active involvement in grant-funded interdisciplinary research. Labs and Research Groups: He is part of the Materializing Futures Section within Sustainable Design Engineering, which likely operates in conjunction with TU Delft’s broader design and robotics labs, though specific lab names are not mentioned.

• Mechanical Engineering
• Thermal Engineering
• Materials Science
• +3 more

Piotr Koniorczyk is a full professor at the Military University of Technology, specializing in mechanical engineering and thermal sciences. His research focuses on thermophysical properties of materials, heat transfer in engineering systems, and advanced materials for aerospace and defense applications. He has published over 91 articles and supervised 12 promoted theses, demonstrating expertise in topics such as thermal analysis of metals, composite materials, and thermal management systems. His work includes studies on steel barrel heat transfer in firearms, thermophysical properties of tool steels, and passive cooling solutions for high-power electronics. Notable projects involve numerical simulations of heat transfer in rocket engines and gun barrels, as well as investigations into phase-change materials for thermal energy storage. His research has contributed to advancements in materials science, thermal engineering, and aerospace technology.

Erika QuarantaView profile

Researcher

• Acoustics
• Computational Fluid Dynamics (CFD)
• Noise Control Engineering
• +3 more

Erika Quaranta is a Senior Consulting Engineer at ISVR Consulting, part of the Institute of Sound and Vibration Research (ISVR) at the University of Southampton. She specializes in numerical modeling of Computational Fluid Dynamics (CFD), acoustics (Finite Element and Boundary Element Methods), and High Performance Computing (HPC), combined with analytical modeling and experimental data analysis. Her affiliations include collaborations with RR-UTC on turbomachinery noise research and diverse consultancy projects. Education: MSc in Aeronautical Engineering (Italy), MSc (USA), PhD in Cranfield (UK). Former role: Research Assistant in the University of Southampton's Computational Engineering and Design group, focusing on civil UAV development. Research interests include acoustics, CFD, noise control, and HPC applications, with projects spanning aerospace propulsion, railway noise, and structural acoustics. Her work emphasizes practical solutions for engineering challenges, leveraging both computational and experimental methodologies. Her publications and conference contributions reflect expertise in active noise control, vibration analysis, and systems engineering. She has advised on value-driven design methodologies for UAVs and complex systems. Current projects involve advancing acoustic modeling techniques and collaboration with industry partners.