Find Academic Supervisors

• Machine Learning
• Artificial Intelligence
• Vehicular Communication
• +4 more

Cristofer Englund is the Dean of the School of Information Technology at Halmstad University and holds a professorship in Information Technology. He earned his PhD in Electrical Engineering in 2007. His teaching focuses on supervising bachelor and master’s theses in machine learning and artificial intelligence (AI), with students receiving awards such as Wimanska priset (2019) and the SAIS Master Thesis Award (2017, 2021). His research spans machine learning applications in emotion/posture recognition, behavior prediction, anonymization, and vehicular communication for traffic safety and automated driving. He currently supervises Felix Rosberg (Engage Studios) on image/video anonymization and Maytheewat Aramrattana (VTI) on connected transportation safety analysis. Research interests include AI ethics, safety-critical systems, and smart city technologies. Recent work emphasizes de-identification systems, drone detection, and federated learning in automotive ecosystems. His articles analyze AI applications in urban infrastructure, cybersecurity for anonymization, and real-time drone surveillance. Notable student awards include grants for Felix Rosberg’s work on anonymization defense mechanisms and Maytheewat’s contributions to traffic safety modeling. Englund collaborates with industry partners like Engage Studios and VTI, integrating academic research with real-world challenges. His work bridges theoretical advancements in machine learning with practical implementations in transportation, cybersecurity, and urban planning.

Jessie HuangView profile

Assistant Professor

• Stem Cell Biology
• Lung Regeneration
• Pulmonary Diseases
• +6 more

Jessie Huang is an Assistant Professor of Medicine at the University of Southern California Keck School of Medicine , affiliated with the Hastings Center for Pulmonary Research and the Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine . Her lab focuses on elucidating mechanisms of lung injury and repair using human iPSC-derived platforms and genetic mouse models. The Huang Lab investigates how lung progenitor cells self-renew and transdifferentiate post-injury, aiming to identify therapeutic targets for diseases like pulmonary fibrosis, COPD, and lung adenocarcinoma. Their work spans iPSC modeling of alveolar epithelial responses signaling pathway analysis in lung regeneration host-pathogen interactions in SARS-CoV-2 infection mechanical stress effects on TGFβ activation cell volume regulation via YAP/TAZ . Recent research trends from her publications include stem cell-derived lung tissue engineering viral replication and host responses transcriptomic profiling of alveolar cell cultures CRISPR-based functional genomics in COPD drug repurposing for respiratory diseases mechanobiology in pulmonary disorders . The lab is part of the Cancer Biology and Genomics , Development, Stem Cells and Regenerative Medicine , and Molecular Medicine Ph.D. programs within Programs in Biomedical and Biological Sciences (PIBBS) at USC. They actively recruit students and postdocs, with open positions advertised via jessieh@usc.edu.

Kristi AnsethView profile

Professor

• Biomaterials Engineering
• Regenerative Medicine
• Tissue Engineering
• +3 more

Kristi Anseth is a Distinguished Professor and Tisone Professor in the Department of Chemical and Biological Engineering at the University of Colorado Boulder. She also serves as Associate Faculty Director of the BioFrontiers Institute. Her research focuses on biomaterials engineering, particularly in designing synthetic extracellular matrices for tissue regeneration and drug discovery. Anseth holds a BS from Purdue University (1992) and a PhD from the University of Colorado (1994). Her pioneering work includes developing photoresponsive hydrogels and dynamic biomaterials that mimic biological tissues' 4D behavior. Key research areas include cardiac valve fibrosis, intestinal organoid engineering, and mechanotransduction. Anseth has authored over 350 papers, mentored 110+ students/postdocs, and launched two startups in biomaterials. Recipient of the 2024 VinFuture Prize for Women Innovators. Elected to the National Academies of Sciences, Engineering, and Medicine. Her lab investigates biomaterials' spatiotemporal control over cell behavior, with applications in regenerative medicine and disease modeling. Collaborations include the BioFrontiers Institute and industry partnerships.

Jessica VerpeutView profile

Assistant Professor

• Behavioral Neuroscience
• Neurodevelopmental Disorders
• Cerebellar Circuitry
• +3 more

Jessica Verpeut is an Assistant Professor of behavioral neuroscience in the Department of Psychology at Arizona State University (ASU). She holds affiliations with the School of Life Sciences as an Undergrad Neuroscience Mentor and the ASU-Banner Neurodegenerative Disease Research Center as Associate Faculty. Her research focuses on cerebellar function, addiction, and aging, utilizing rodent models and machine learning to study neural circuits and behavior across life stages. Dr. Verpeut earned her B.S. in Psychology and Animal Science from Pennsylvania State University (2010), a Ph.D. in Endocrinology and Animal Biosciences from Rutgers University (2015), and completed postdoctoral training at Princeton University, funded by the New Jersey Brain Injury Research Committee. Her research interests include mapping cerebello-cortical connections, understanding sensitive developmental periods for neural disorders like autism, and investigating age-related neural changes in addiction vulnerability. She has secured awards such as the Alzheimer’s Disease Research Centers REC Fellowship and the Nancy Eisenberg Junior Faculty Scholar Award. Dr. Verpeut is actively involved in editorial roles for JoVE and Frontiers in Computational Neuroscience , and serves on professional bodies like the Faculty for Undergraduate Neuroscience. Her lab, the SOCIAL Lab, studies neural circuits from cerebellar cortex to social behavior, emphasizing machine learning for behavioral analysis. She teaches courses in psychology and neuroscience, including honors thesis supervision and undergraduate research. Current research themes include cerebellar contributions to flexible behavior, neural circuit maturation, and sex differences in brain aging.

• Materials Science
• Biomedical Engineering
• Soft Materials
• +3 more

Benjamin Partridge is an Assistant Professor recognized for his research in biomimetic materials and soft matter physics. His work focuses on engineering impact-resistant materials inspired by biological systems, particularly leveraging sacrificial bonds found in natural materials like those in human feet or woodpecker anatomy. He leads a research group exploring fundamental questions in material science with applications in protective coatings, medical implants, and force-resistant garments. Dr. Partridge has received prestigious recognition including the Air Force Office of Scientific Research (AFOSR) Young Investigators Award, which supports his project on hierarchical noncovalent energy dissipation mechanisms. His research integrates principles from chemistry, materials science, and bioengineering to develop novel materials with self-healing capabilities and enhanced durability. Key technical contributions include advancements in colloidal crystal engineering, supramolecular assembly pathways, and programmable DNA-based materials. His work spans from foundational studies to applied innovations, bridging nanotechnology and macro-scale material functionality. Awards: Young Investigators Award (AFOSR, 202X) Research Themes: Bioinspired material design Energy dissipation mechanisms Self-assembly processes Programmable molecular systems

• Geophysics
• Seismology
• Seismotectonics
• +6 more

Mourad Bezzeghoud is a Full Professor in the Physics Department at the University of Évora (Portugal), affiliated with the School of Sciences and Technology. He holds a PhD in Geophysics (Paris Diderot University, 1987) and habilitation in Earth and Space Sciences (University of Évora, 2011). His career includes appointments at institutions such as École des Mines de Paris, Universidade Complutense de Madrid, and the Centre de Recherche en Astronomie, Astrophysique et Géophysique (Algeria). He has held leadership roles, including President of the Scientific Council of the School of Sciences and Technology (since 2022), Coordinator of the Institute of Earth Sciences (ICT, UÉ), and Director of the Physics Department (2006–2007). His research focuses on seismotectonics, seismic hazard assessment, and geodynamics, with emphasis on the Mediterranean and North Africa regions. Education: PhD in Geophysics/Seismology (Université Paris Diderot, France, 1987) Habilitation in Earth and Space Sciences (University of Évora, Portugal, 2011) DEA in Internal Geophysics and Geochemistry (Université Paris Diderot, 1982) Engineering Degree in Applied Geophysics (Institut National des Hydrocarbures et de la Chimie, Algeria, 1981) Research Interests: Seismotectonics of active margins, fault dynamics, probabilistic seismic hazard analysis, and integration of geophysical methods for subsurface imaging. His work spans Algeria, Portugal, and the Mediterranean region, emphasizing earthquake source characterization and crustal structure modeling. Key Projects: Coordinator of the INCOME (sustainable resource management), PILOTSTRATEGY (CO2 geostorage), and ZOM3D (Alentejo metallogeny) projects. Lead researcher in initiatives like MITMOTION (Mitidja Basin seismic hazard) and ALERT-ES (early earthquake warning systems). Leadership & Service: Elected roles include Vice-Director of the Center for Geophysics (since 1999), Coordinator of the Seismotectonic and Seismic Hazard research line (ICT), and member of national and international scientific committees. Active in policy and education through roles in the University of Évora’s Management and Scientific Councils. Grants & Networks: Over 40 funded projects from institutions like FCT (Portugal), EU (e.g., FP7, Horizon 2020), and international collaborations with Algeria, Spain, France, and Morocco.

• Computer Science
• Network Security
• Malware Detection
• +4 more

Engin Kirda is a researcher at the Department of Distributed Systems , Vienna University of Technology . His work focuses on Network Security , Malware Detection , and Web Security , with a particular emphasis on Malware Analysis , XSS Prevention , and Botnet Detection . He has led and contributed to projects such as WOMBAT , SECoverer , and SysSec , funded by entities like the Austrian Research Promotion Agency (FFG) and the European Commission . Research Areas : Network Security, Malware Analysis, Web Application Vulnerabilities Key Projects : WOMBAT (2008–2011), SECoverer (2008–2011), SysSec (2010–2014) His publications highlight advancements in automated malware analysis , phishing detection , and web spam mitigation . He has mentored students in topics including Android security , CSV Attack Prevention , and Malware Threat Landscapes .

• Cybersecurity
• Automotive Systems
• Formal Verification
• +3 more

Nguyen H is an academic affiliated with Swansea University's Faculty of Humanities and Social Sciences, School of Management. Their career includes roles such as Senior Lecturer at the University of Finance and Business Administration in Vietnam (2015–2016), Teaching Assistant at University College London (2020–2021), and Research Assistant at the University of Essex (2021). Their research interests span automotive cybersecurity, formal verification, multi-agent systems, and railway safety. Nguyen has contributed to over 50 publications, focusing on topics like threat modeling, secure vehicular communication, and automated security analysis frameworks. Notable work includes developing simulation-based risk assessment tools for connected vehicles and formal methods for verifying automotive systems. Their research emphasizes practical applications in safety-critical domains, blending theoretical rigor with real-world implementation challenges. Key Research Themes : Automotive Cybersecurity, Formal Methods, Threat Analysis, Vehicular Networks, Railway Safety Nguyen's recent articles highlight advancements in securing over-the-air updates for vehicles, combating false data injection in platooning systems, and enhancing resilience against hardware threats. They actively engage with industry standards and collaborate on tools like the ARISTOTLE framework for vehicular security. Despite no listed awards, their extensive publication record underscores significant contributions to interdisciplinary cyber-physical systems research.

• Electrochemistry
• Energy Storage Systems
• Lithium-Ion Batteries
• +4 more

Preben Joakim Svela Vie is an Adjunct Associate Professor in the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU). His research focuses on electrochemistry, energy storage systems, and lithium-ion batteries, with an emphasis on thermal management, degradation mechanisms, and safety. He has collaborated extensively on studies involving battery diagnostics, hydrogen technology, and fuel cells. His work bridges fundamental electrochemical principles with practical applications in energy systems. Key research interests include battery entropy analysis, thermal behavior of energy storage systems, and the integration of renewable energy technologies. His recent publications explore methods to accelerate entropy profile estimation, incremental capacity analysis for battery diagnostics, and the effects of degradation on thermal transport in lithium-ion batteries. He has also contributed to popular scientific articles discussing battery safety in maritime contexts and the reuse of second-life batteries from electric vehicles. Collaborations span institutions such as the University of Cambridge (via co-author Paul Shearing) and industry partners, reflecting a focus on both academic rigor and applied energy solutions. His research often involves advanced techniques like neutron imaging and operando studies to characterize battery materials and performance under varying conditions.

Xia XiaoView profile

Professor

• Auditing
• Financial Accounting
• Corporate Governance
• +2 more

Xia Xiao is a Professor at the D'Amore-McKim School of Business, Northeastern University, specializing in auditing and financial accounting. She holds a PhD from the University of Arizona, an MAcc from the University of Minnesota, and a BBA in Accounting from Lingnan University. Her research focuses on auditor expertise, audit-related disclosures, and regulatory effectiveness. She is licensed as a CPA in New York and Hong Kong, and serves as an ad hoc reviewer for top accounting journals. Key contributions include studies on audit firm retirement policies and critical audit matter disclosures, published in The Accounting Review and Journal of Accounting and Public Policy. She actively participates in conferences like the Hawaii Accounting Research Conference and MIT Asia Conference in Accounting. Xiao’s professional experience includes roles at KPMG as an assistant manager in audit assurance. She is a member of the American Accounting Association and Hong Kong Institute of Certified Public Accountants. Her recent work emphasizes bridging auditing practices with regulatory impacts, contributing to both academic discourse and industry standards.

Mustafa AltunView profile

Professor

• Nano-crossbar Arrays
• Switching Lattices
• Logic Synthesis
• +7 more

Mustafa Altun is a Professor at Istanbul Technical University in the Department of Electronics and Communication Engineering. With an h-index of 11 and 78 research outputs, he has established himself as a prominent researcher in electronics engineering and neural network hardware implementations. His research focuses on key areas including: Nano-crossbar Arrays and Switching Lattices Logic Synthesis and Boolean Function Realization Neural Network Hardware Implementation Low-voltage Circuit Design Fault Tolerant Computing Electrodeposition for Li-ion Battery Anodes Dr. Altun's recent work demonstrates a strong emphasis on energy-efficient hardware implementations of artificial neural networks using approximate arithmetic blocks to reduce power consumption while maintaining acceptable accuracy levels. His research on silicon anode electrodeposition has explored how artificial light-induced processes can increase silicon loading for improved battery performance. These dual research directions reflect his commitment to advancing both computing hardware and energy storage technologies. His scientific achievements have been recognized with prestigious awards including the ODTÜ Mustafa N. Parlar Research Incentive Award (2022), EU H2020 Success Award (2015), and the Young Scientist Award (2020). His work has been supported by multiple projects funded by TUBITAK and SRP. Dr. Altun has supervised 16 students according to available data and has led numerous research projects focusing on novel circuit architectures for efficient computing, particularly in neural networks and fault-tolerant systems. His laboratory work continues to push the boundaries of nano-crossbar array computing and its practical applications.

Pavel ExnerView profile

Professor

• Unstable systems
• Decay and resonance phenomena
• Functional-integral methods
• +4 more

Pavel Exner is a Professor of Theoretical Physics at Charles University and Scientific Director of the Doppler Institute at Czech Technical University in Prague, Czech Republic. He maintains dual affiliations with the Department of Theoretical Physics at the Nuclear Physics Institute of the Czech Academy of Sciences and the Faculty of Nuclear Sciences and Physical Engineering at Czech Technical University. His educational background spans from BSc in Nuclear Physics (Czech Technical University, 1967) through MSc and RNDr in Theoretical Physics (Charles University, 1969-1970) to advanced degrees in Mathematical Physics from the Joint Institute for Nuclear Research in Dubna (CSc in 1983, DrSc in 1990). Professor Exner's research focuses on mathematical physics , particularly quantum mechanics with complex geometries. His work explores unstable systems, decay phenomena, functional-integral methods, quantum mechanics on graphs and surfaces, quantum chaos, and spectral properties of quantum waveguides. He has made seminal contributions to quantum graph theory, creating rigorous mathematical frameworks for understanding spectral properties of quantum systems on networks. His recent publications demonstrate continued innovation in quantum graph theory, with increasing sophistication in handling complex quantum systems. The work shows particular advancement in understanding the interplay between topology, geometry, and spectral properties, especially regarding vertex conditions, magnetic fields, and transport phenomena in lattice structures. Professor Exner has received numerous prestigious awards throughout his distinguished career: The Neuron Prize for outstanding contributions to science (2016) Foreign Member of the National Academy of Sciences of Ukraine (2021) Elected member of European Academy of Sciences (2023) Multiple prizes from Czech institutions for textbooks and monographs Honorary memberships in several international mathematical and physical societies As Scientific Director of the Doppler Institute, Professor Exner has mentored numerous researchers and organized significant academic activities including the Doppler Institute Seminar (DIS), Quantum Circle seminar (QC), and the Mathematical Results in Quantum Mechanics (QMath) conference series. His leadership has established the institute as a prominent center for mathematical physics research. Professor Exner's primary research activities center at the Doppler Institute, where he leads investigations into quantum systems with complex geometries. The institute serves as a collaborative hub for mathematical physics, hosting regular seminars and fostering international research partnerships that advance the field of quantum graph theory and spectral analysis.

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.

Marie-Laure PotetView profile

Professor

• Cybersecurity
• Formal Verification
• Fault Injection Analysis
• +3 more

Marie-Laure Potet is a Professor in the Department of Computer Science at the University of Grenoble Alpes, affiliated with Grenoble INP and the VERIMAG research laboratory. Her work focuses on cybersecurity, formal verification, and fault injection analysis in embedded systems. She leads research on secure compilation, vulnerability detection, and countermeasure design against hardware and software attacks. Her research projects include the PEPR Cybersécurité/ARSENE and SECUREVAL initiatives, aiming to enhance security evaluation for embedded systems. She has developed tools like FISSC and Lazart for fault injection analysis and secure code validation. Her contributions span academic conferences (ESOP, CAV, FDTC) and industry collaborations through projects like SACADE and SECURIoT. Potet's work bridges formal methods with practical security applications, emphasizing compositional refinement and tool-based verification. Her lab's activities include analyzing software robustness, developing secure protocols, and advancing methodologies for liability and accountability in software systems.

Lars Rosgaard JensenView profile

Associate Professor

• Materials Science
• Glass Ceramics
• Fracture Mechanics
• +4 more

Lars Rosgaard Jensen is an Associate Professor at the Department of Materials and Production, Aalborg University, within the Faculty of Engineering and Science. His research focuses on advanced materials science, particularly oxide glasses, glass-ceramics, and composite materials. He leads major projects such as CIRCWIND (optimizing circular materials for wind turbine components) and MADE4WIND (innovative materials for offshore wind turbines). His work emphasizes fracture mechanics, sustainable cements, and lithium-ion battery technologies. Key contributions include setting world records in crack-resistant glass and developing novel material synthesis methods. Jensen has authored over 120 publications and holds leadership roles in EU-funded initiatives. Research Interests: Jensen’s expertise spans structural materials, phase separation mechanisms, and material durability under extreme conditions. He explores applications in renewable energy (wind turbine components), sustainable construction, and energy storage systems. His group investigates how microstructural modifications enhance mechanical and thermal properties of glasses and ceramics. Projects: As PI, he oversees projects addressing circular economy solutions for wind energy (CIRCWIND, MADE4WIND) and advanced composites (AIOLOS). Collaborations include EU Horizon Europe programs and industry partnerships. Grants & Advising: His grants include funding from the EU’s Research Innovation Program. While no student advisees are listed, his projects involve multidisciplinary teams and PhD candidates in materials science and engineering.