Find Academic Supervisors

• Mechanical Engineering
• Manufacturing Engineering
• Biomedical Engineering
• +5 more

Antonio Jose Sanchez Egea is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Politècnica Superior d'Enginyeria de Vilanova i la Geltrú (EPSEVG) and the Departament d'Enginyeria Mecànica. His professional category is 'Professor agregat,' and he is part of the research group GAECEQS (Grup d'Accionaments Electromecànics, Conversió de l'Energia i Qualitat del Subministrament). His expertise spans Mechanical Engineering, Manufacturing Engineering, and Biomedical Engineering, focusing on topics like electroplasticity-assisted manufacturing, biomechanical simulations, and medical device design. Education: PhD in Mechanical Engineering, Fluids, and Aeronautics, with a Master's in Biomedical Engineering. He has supervised multiple doctoral theses, including those on surgical simulation and tremor analysis. Research interests include advanced manufacturing processes, biomedical applications of finite element analysis, and optimization of machining techniques. His work integrates mechanical, biomedical, and computational approaches to solve challenges in surgery, material processing, and medical diagnostics. Key projects include developing a lung simulator for mechanical ventilation training, studying osteotomy effectiveness via in-silico models, and creating diagnostic tools for Parkinson’s disease using smartphone accelerometry. He has authored over 117 publications, including articles on needle-tissue interaction modeling, knee osteotomy biomechanics, and machining energy consumption analysis. Grants and collaborations: Involved in projects funded by the Spanish Ministry of Science and Innovation, including Xarxa R+D+I en Tecnologies de la Salut (Xartec Salut). His work bridges academia and industry, emphasizing practical applications of engineering principles in healthcare and manufacturing. Labs/Teams: Active member of GAECEQS, collaborating with groups like PROCOMAME (Metal Forming Processes) and InSup (Bioengineering Surfaces Interaction Group). He also contributes to the DigiFACT network for advanced manufacturing innovation.

Baha ZaferView profile

Associate Professor

• Aeroacoustics
• Computational Fluid Dynamics
• Hydroacoustics
• +3 more

Baha Zafer is an Associate Professor in the Department of Aeronautical Engineering at Istanbul Technical University. His research primarily focuses on advanced computational methods in fluid dynamics and aeroacoustics, with applications in aerospace, marine, and energy systems. Research interests span aeroacoustics, hydroacoustics, computational fluid dynamics (CFD), and machine learning applications in flow optimization. Key areas include transonic/supersonic cavity flows, wind turbine acoustics, supercavitation phenomena, and generative adversarial networks for flow field prediction. Recent publications (2019–2025) show strong trends in applying open-source CFD tools and machine learning to aeroacoustic problems. Dominant themes include unsteady transonic flows (38% of recent work), optimization via ML (25%), and hydroacoustics (20%), reflecting a shift toward AI-enhanced simulation techniques since 2023. Currently advises 5 graduate theses. No major scientific awards are documented.

• Health Equity
• Healthcare Simulation
• Human Factors Design in Healthcare
• +3 more

Samreen Vora, MD, is an Assistant Professor of Emergency Medicine and Director of Interprofessional Simulation at Yale School of Medicine's Yale Center for Healthcare Simulation. She specializes in using simulation-based learning and virtual reality (VR) to train healthcare professionals in high-pressure clinical scenarios. Her roles include Director of the Simulated Participant Program and leadership in interprofessional education initiatives. Dr. Vora completed her MD at Rosalind Franklin University - Chicago Medical School (2010). Her research focuses on health equity, implicit bias mitigation through simulation, and human factors in healthcare delivery. Notable achievements include the Society for Simulation in Healthcare Emerging Leader Award (2019) and Minnesota Physician Community Caregiver Award (2019). Her work emphasizes advancing pediatric readiness in emergency departments through collaborative improvement programs and expanding simulation training to address systemic inequities. Recent innovations include VR platforms for exposing high school students to medical scenarios, fostering future healthcare professionals. Key publications highlight simulation's role in reducing caregiver anxiety, addressing structural racism, and improving pediatric resuscitation protocols. Dr. Vora collaborates with national organizations to develop standardized simulation curricula, including the ACEP SimBox initiative and consensus guidelines for DEI in healthcare education.

Paul EdlefsenView profile

Associate Clinical Professor

• Statistical Genetics
• Bioinformatics
• HIV Vaccine Research
• +5 more

Paul Edlefsen is a Principal Staff Scientist at Fred Hutchinson Cancer Research Center and holds the position of Clinical Associate Professor in the Department of Biostatistics at the University of Washington's School of Public Health. His work focuses on advancing infectious disease vaccine research through interdisciplinary approaches that integrate biology, biostatistics, and bioinformatics. He leads the Edlefsen Group at Fred Hutch, which collaborates with multiple labs and consortia on globally relevant problems in vaccine development. His educational background includes a PhD in Statistics (2009) and an AM in Statistics (2005) from Harvard University, and a BA in Computer Science (2000) from Wesleyan University. During his academic training, he also held a position as a Harvard College Fellow. Dr. Edlefsen's research program spans multiple critical areas of infectious disease research. His primary focus is on the genomics of pathogens, particularly HIV-1, with the goal of developing both prophylactic vaccines and cures. He has made significant contributions to sieve analysis methods, which examine pathogen sequence variation across clinical trial arms to identify evidence of vaccine-induced immunity. His methodological work encompasses three main areas: developments in Dempster-Shafer theory with Art Dempster, methods for inferring parameters of profile hidden Markov models applied to viral sequences, and sieve analysis methodology that accounts for subject-level heterogeneity. His publication record demonstrates consistent productivity in high-impact areas of HIV vaccine research, statistical methodology, and virology. Recent work shows a strong emphasis on understanding viral evolution in response to vaccine pressure, immune responses to co-infections (particularly SIV/HIV with other pathogens), and developing novel statistical methods for analyzing vaccine trial data. His research often bridges clinical applications with advanced statistical theory, reflecting his dual expertise in both domains. As a clinical trials statistician, Dr. Edlefsen works with multiple major HIV research networks including the HIV Vaccine Trials Network, HIV Prevention Trials Network, HIV Microbicide Trials Network, and the Gates Foundation's Coalition for AIDS Vaccine Discovery. His group at Fred Hutch maintains strong collaborative ties with researchers around the globe, contributing statistical and computational expertise to numerous vaccine development efforts. The Edlefsen Group operates as a small but diverse team of researchers who cross expertise barriers to communicate effectively about complex topics in statistics, bioinformatics, and infectious disease biology. The group actively participates in study design, grant writing, and reproducible data analysis, working closely with vaccine researchers throughout the scientific process. They welcome collaborations and maintain strong ties throughout the research community with the primary goal of advancing infectious disease vaccine research to improve public health worldwide.

Matteo PozziView profile

Professor

• Risk Analysis
• Civil Infrastructure Systems
• Probabilistic Modeling
• +7 more

Matteo Pozzi is a Professor in the Civil and Environmental Engineering Department at Carnegie Mellon University (CMU). His research focuses on probabilistic risk analysis and decision optimization for civil infrastructures, integrating sensor data and engineering models to enhance resilience against extreme events. He holds a Ph.D. in Structural Engineering from the University of Trento (Italy) and completed a post-doctoral fellowship at UC Berkeley. His work emphasizes probabilistic models for seismic vulnerability, maintenance scheduling, and smart infrastructure systems. Education: Ph.D., Structural Engineering, University of Trento (2007) Laurea (M.S. + B.S.), Civil Engineering, University of Trento (2003) Research Interests: His research spans advanced infrastructure systems, climate-resilient technologies, and intelligent engineered systems. Key areas include sensor integration for structural health monitoring, probabilistic modeling for infrastructure resilience, and optimal planning for mitigating extreme events. Awards & Grants: NSF CAREER Award (2017) Siebel Energy Institute Research Grant (2017) PITA Grant for Microreactor Technology (2019) Multiple NSF grants (SES-DRMS, ENG-CMMI-IMEE, GEO-ICER-PREEVENTS) Labs & Affiliations: He is affiliated with the Pennsylvania Smart Infrastructure Incubator and collaborates with the Scott Institute for Energy Innovation. His lab develops computational tools for integrated risk assessment and decision-making in civil systems.

Alice WhiteView profile

Professor

• Optical Device Fabrication
• Electronic Packaging
• Additive Manufacturing
• +4 more

Alice White is a Professor affiliated with the College of Engineering and Department of Mechanical Engineering at Boston University. She holds affiliations with the Division of Materials Science and the Photonics Center. Her research focuses on fabrication and packaging of optical and electronic devices, including novel optical devices for future exabit networks, additive manufacturing via high-resolution 3D printing, and silicon photonics integration using CMOS processes. Recent work includes neural interface devices and biocompatible microelectrodes. Education: PhD in Engineering from Harvard University. Professional roles emphasize interdisciplinary collaboration across materials science, photonics, and biomedical engineering. Research interests span optical device innovation, nanoscale fabrication, and biomedical microdevices. Recent publications highlight advancements in cardiac tissue engineering, programmable microrobots, and metamaterial scaffolds. Over 50 peer-reviewed articles demonstrate expertise in photonics, additive manufacturing, and biocompatible systems.

Muhammad Akbar RhamdhaniView profile

Professor

• Extractive Metallurgy
• Metals Recycling
• Low-Carbon Metallurgical Processes
• +6 more

Professor Muhammad Akbar Rhamdhani is a Professor in Extractive Metallurgy and Metals Recycling at Swinburne University of Technology's School of Engineering. He leads the Fluid and Process Dynamics (FPD) Group, the Net Zero Carbon Materials and Processes Research Platform, and the Energy Transition Metals Research Flagship. His research spans advanced metal refining, low-carbon metallurgy, and extraterrestrial processing, with a focus on hydrogen-based technologies and solar energy applications. He serves as Editor-in-Chief of the Journal of Sustainable Metallurgy and holds a PhD in Materials Science from McMaster University. Education: PhD, Materials Science and Engineering, McMaster University (2005) BEng (Hons), Materials Engineering, Institute Technology Bandung (2000) Graduate Certificate in Learning and Teaching, Swinburne (2010) Research Interests: Akbar's work addresses critical challenges in metallurgical decarbonization, e-waste recycling, and space resource utilization. His projects include hydrogen plasma for low-carbon steelmaking , solar thermal processing of lunar materials , and REE extraction from NdFeB magnets . These align with SDGs 7 (Clean Energy), 9 (Industry Innovation), and 12 (Responsible Consumption). Publication Trends: His recent articles emphasize hydrogen metallurgy for CO2 reduction, ISRU technologies for Mars regolith processing, and slag-based silicon refining . Studies often combine thermodynamic modeling with experimental validation, focusing on resource efficiency and environmental sustainability. Scientific Awards: 2024 LMD/EPD Best Energy Paper (TMS, USA) 2023 JSM Best Paper Award (TMS, USA) 2023 Adrian Normanton Award (IOM3, UK) 2020 Williams Award (IOM3, UK) 2019 Kent D. Peaslee Award (AIST, USA) 2015 MetSoc Award (Metallurgical Society of Canada) Supervision & Grants: He actively supervises PhD students in topics like lunar steel production and hydrogen-based e-waste processing . Current grants include Australian Renewable Energy Agency (8/2024–6/2029) and HILT CRC projects (2023–2028) for hydrogen DRI and solar metallurgy innovations.

Deepti SalviView profile

Professor

• Food Safety
• Non-thermal Processing
• Plasma Technology
• +7 more

Dr. Deepti Salvi serves as Associate Department Head of Food Engineering in the Department of Food Science at North Carolina State University's College of Agriculture and Life Sciences. She maintains an active research laboratory focused on innovative food processing technologies, particularly cold atmospheric pressure plasma applications for food safety and quality. Her educational background includes a Ph.D. in Biological and Agricultural Engineering from Louisiana State University (2008), an M.E. in Food Engineering and Bioprocess Technology from Asian Institute of Technology, Thailand (2005), and a B.Tech. in Agricultural Engineering from Dr. B. S. Konkan Agriculture University, India (2003). Dr. Salvi's research interests center on food processing techniques including cold atmospheric pressure plasma, high pressure processing, microwave processing, extrusion, and ultraviolet processing to ensure food safety and quality. She investigates the role of physical properties of food to control excessive caloric intake and enhance nutrient absorption in the human gastrointestinal tract, and conducts numerical modeling of transport phenomena in biological and food engineering systems. Her recent publications reveal a strong emphasis on plasma-activated water applications across various food matrices, UV-C treatments for powder decontamination, and electrode design optimization for more efficient plasma systems. Her work spans both fundamental research on mechanisms of action and practical applications for industry implementation. Dr. Salvi has secured numerous research grants as Principal Investigator from USDA, NSF (through CAPPS), and industry partners including the American Egg Board. Her current projects focus on next-generation plasma solutions for food safety, UV-C technology for powdered foods, and development of ready-to-eat healthy snacks through extrusion. She actively mentors graduate and undergraduate students, with current lab members including post-doctoral researchers, Ph.D. candidates, M.S. students, and undergraduate researchers. Her laboratory maintains strong collaborations with researchers across multiple disciplines including microbiology, electrical engineering, and packaging science.

• Microfluidics
• Nanotechnology
• Biomedical Engineering
• +3 more

Vania Silverio is an Assistant Professor at the Department of Physics within the Instituto Superior Técnico of the University of Lisbon. Her research focuses on microfluidics, nanotechnology, and biomedical engineering applications, with particular expertise in metrology standards for microfluidic systems. She teaches courses such as Microfluidics and Micro and Nanofabrication Techniques. Her work integrates experimental methods with computational modeling to address challenges in fluid dynamics and device fabrication. Education: Vania holds a PhD in Mechanical Engineering from Instituto Superior Técnico (2016) and a 5-year Bachelor's Degree in Technological Chemistry from the Faculty of Sciences of the University of Lisbon (2003). Her doctoral research investigated micro-cooling technologies for power systems, receiving Distinction. Her undergraduate work included reaction calorimetry studies, earning top grades. Research interests span microfluidic device development, magnetic cytometry, and thermal management solutions. Her recent projects include portable bioaerosol samplers (SOLARIS), high-throughput screening systems, and metrology standards for lab-on-a-chip technologies. She collaborates with INESC Microsystems and Nanotechnologies, advancing applications in biomedical diagnostics and environmental monitoring. Notable contributions include pioneering leakage testing protocols for microfluidics and integrating neural networks with magnetic sensors for cytometry. Her work bridges fundamental research with practical applications, emphasizing reproducibility and precision in microscale systems.

Ashutosh SinghView profile

Associate Professor

• Food Engineering
• Biomedical Engineering
• Nanotechnology
• +7 more

Ashutosh Singh, PhD, P.Eng., is an Associate Professor and Area Head of Biological and Biomedical Engineering at the University of Guelph's School of Engineering. He holds a B.Tech. in Biotechnology from Vellore Institute of Technology (2007), and M.Sc. and Ph.D. in Bioresource Engineering from McGill University (2010, 2014). Before joining Guelph, he worked as a Postdoctoral Fellow at Dalhousie University and a Research Associate at McGill University. His research focuses on food engineering, including novel processing methods, food safety testing (e.g., ATR-FTIR and NIR techniques), and biosensor development for allergens/toxins. He also explores nanotechnology applications in food systems, biotechnology integration, and environmental sustainability. His lab, Food Engineering Research Lab, addresses global food security challenges through interdisciplinary approaches. Dr. Singh teaches undergraduate courses in Biological Engineering Systems, Heat and Mass Transfer, and graduate courses in Advanced Food Engineering and Food/Bio-process Engineering. His work spans over 50 publications and includes projects on nanoparticle synthesis, food waste valorization, and climate-food system modeling. His team includes PhD students (e.g., Rahul Barbhuiya), M.A.Sc. students (e.g., Abrar Alzaydi), and postdoctoral fellows (e.g., Saipriya Ramalingam). Current projects involve magnetic nanoparticle applications, green synthesis of nanoparticles, and LED bioreactor systems for nutraceutical production.

Matthew UnthankView profile

Professor

• Polymer Chemistry
• Coatings and Surfaces
• Thermoset Materials
• +4 more

Matthew Unthank is a Professor of Chemistry at Northumbria University, specializing in polymer, coatings, and composites research. He holds roles in the Applied Sciences Department and leads initiatives like the Synthesis and Polymer Innovation (SPIN) centre to advance sustainable materials. His career spans academic and industrial roles, including positions at AkzoNobel and GlaxoSmithKline. Research focuses on functional polymers for thermoset coatings and composites, with emphasis on sustainability. Key projects include developing pH-responsive coatings, recyclable thermosets, and biocomposites for carbon capture. He has secured grants from UKRI, EPSRC, DSTL, and OfWAT, collaborating with over 100 companies and NGOs through the EPSRC-TransFire Hub. Notable achievements include EPSRC Researcher in Residence Fellow status and membership in the EPSRC Early Career Forum (ECF) in Manufacturing Research. His work aligns with UN Sustainable Development Goals, particularly addressing environmental sustainability through material innovation. Professional activities include co-leading the bulk chemical sector in the £5M TransFire Hub and supervising research projects. He actively engages in industrial partnerships for scale-up and commercialization of polymer technologies.

Ryan GlasbyView profile

Adjunct Professor

• Computational Engineering
• Computational Fluid Dynamics (CFD)
• Hypersonic Flows
• +3 more

Ryan Glasby is a Joint Faculty member at the University of Tennessee and Oak Ridge National Laboratory (ORNL), specializing in computational engineering and high-fidelity fluid dynamics simulations. His research focuses on multiphysics modeling, hypersonic flows, shock wave interactions, and advanced numerical methods for CFD. He leads development efforts for solvers like VERTEX-CFD and Spinnaker , which are designed for high-performance computing platforms. His work spans experimental validation through techniques like acetone molecular tagging velocimetry and computational innovations in finite-element methods. Glasby collaborates closely with U.S. Department of Defense initiatives, contributing to projects such as HPCMP CREATE-AV Kestrel. Key areas include turbulence modeling, thermal nonequilibrium processes, and optimization of firearm suppression systems through fluid dynamics principles. Notable contributions include advancements in artificial compressibility methods for heat transfer simulations and strategic improvements to parallel processing algorithms for large-scale simulations. His research bridges fundamental fluid dynamics with practical applications in aerospace engineering and defense technologies.

Monica LupionView profile

Adjunct Assistant Professor

• Innovation in Energy and Environment
• Energy Policy
• Carbon Capture and Storage (CCS)
• +3 more

Dr. Monica Lupion is an Adjunct Assistant Professor in the Department of Chemical and Biological Engineering at the University at Buffalo’s School of Engineering and Applied Sciences. She also serves as Associate Director of Technology Planning at the Linde Research. Her work spans academia, government, and industry, including roles as an Associate Professor and Senior Researcher at the University of Seville, Spain, and as an expert evaluator for the European Commission. She previously led multi-disciplinary research at MIT Energy Initiative on energy systems and low-carbon technologies. Dr. Lupion’s research focuses on energy innovation, CCS techno-economic evaluation, and policy frameworks for sustainable energy systems. She is developing a new co-op program to enhance student-industry connections. Education • PhD in Chemical Engineering, University of Seville (2012) – Summa Cum Laude, Best Dissertation Award • International Doctorate with University of Newcastle (AU), TU Delft (NL) • MSc Environmental Engineering (2010), MSc Chemical Engineering (2002), BSc Industrial Engineering (2002), all from University of Seville. Research Interests Dr. Lupion’s work addresses energy-environment innovation, energy policy, and CCS technologies. She evaluates legal and financial instruments to support low-carbon transitions, with a focus on techno-economic feasibility of carbon capture and storage. Her research integrates technical, regulatory, and policy dimensions to drive sustainable energy systems. Articles Trends Her publications emphasize CCS challenges, gas filtration technologies, and oxy-fuel combustion systems. Key themes include regulatory frameworks for CCS deployment, material performance in high-temperature filtration, and demonstration projects like CIUDEN’s oxy-CFB boiler. Her work bridges technical innovation with policy implications for global climate goals. Awards : Best Dissertation Award (2012), Summa Cum Laude (PhD). Advising & Grants Dr. Lupion’s grants and projects include MIT’s multi-disciplinary energy research and CIUDEN’s CCS facilities. She has advised on projects involving CO2 capture demonstration and public perception strategies. Her co-op program initiative aims to bridge academic and industrial energy innovation. Labs & Teams Active in CIUDEN’s CCS large-scale R&D activities and the MIT Energy Initiative, she collaborates with interdisciplinary teams to advance low-carbon technologies and policy frameworks.

Guido BaltussenView profile

Professor

• Behavioral Finance
• Financial Markets
• Factor-based Investing
• +7 more

Guido Baltussen is Full Professor in Finance at Erasmus School of Economics, Erasmus University Rotterdam, holding the Chair in Behavioral Finance and Financial Markets. He is also a fellow at the Tinbergen Institute and ERIM, recognized as high-performance research centers. His academic work is complemented by a professional role at Northern Trust Asset Management, where he leads quantitative investment strategies in equities and fixed income. His research expertise spans Behavioral Finance , Market Anomalies , Factor-based Investing , Asset Pricing , and Investor Decision-Making . He investigates how psychological factors influence financial markets, with a focus on portfolio construction and the performance of factor premiums across global markets. His recent publications reveal a strong trend in analyzing long-term financial datasets, market inefficiencies, and the practical application of behavioral insights in investment strategies. He combines rigorous empirical analysis with experimental methods, often leveraging real-world data from financial markets and game shows to test economic theories. Outstanding Investment Paper award, Eastern Finance Association (2012) Second prize, Quantpedia Awards (2025) Guido advises graduate students through a master's seminar in 'Behavioral Investing' and has contributed to practitioner knowledge via columns for IEX.nl and publications in the Financial Analyst Journal and Journal of Portfolio Management . His research has been supported by robust datasets spanning over 150 years, reflecting deep engagement with both historical and contemporary financial phenomena. He has collaborated extensively with institutions and professionals in the asset management industry, bridging academic rigor with practical investment solutions. He leads a research team focused on behavioral finance and quantitative strategies, contributing to both academic knowledge and industry innovation. His work continues to explore the boundaries between behavioral theory and market outcomes, with ongoing projects in global factor investing and bond return predictability.

Aurelie Anna Florence JacobView profile

Researcher

• Materials Science
• Metallurgy
• Thermodynamic Modeling
• +3 more

Dr. Aurelie Anna Florence Jacob is a researcher affiliated with TU Wien, specifically within the Computational Materials Development Research Group (E308-03-2) . Her primary role is as a Project Assistant with a Doctorate in Natural Sciences (Dr. rer. nat.). Her research focuses on advanced materials science, particularly in metallurgical processes, phase transformations, and computational modeling of steel microstructures. She specializes in thermodynamic and kinetic simulations of intermetallic phases (e.g., σ phase, G-phase) in high-alloyed steels, aiming to predict microstructural evolution and optimize material properties. Key research topics include: Thermodynamic modeling of phase equilibria in steel systems (Fe-Cr-Mn-Mo-Ni). Experimental and computational analysis of σ phase precipitation in hyper duplex stainless steels. Recrystallization kinetics in microalloyed steels and T₀-temperature evaluation. Development of databases for bainitic microstructures and Laves phase formation. Her collaborative work involves in-situ XRD experiments and CALPHAD-based simulations to understand phase evolution under thermal and mechanical processing. Jacob’s contributions bridge experimental materials characterization with predictive computational tools, advancing materials design for high-performance applications. Her recent publications highlight advancements in understanding phase stability, precipitation kinetics, and material recycling processes. She actively participates in international conferences, presenting findings on topics like sigma phase mechanisms and Gibbs energy reassessment for T₀-temperature predictions.