Find Academic Supervisors

Hassan M. BaaqeelView profile

Assistant Professor

• Process Systems Engineering
• Process Optimization
• Desalination
• +5 more

Dr. Hassan M. Baaqeel is an Assistant Professor and Dean of the College of Chemicals and Materials at King Fahd University of Petroleum & Minerals (KFUPM), with a focus on integrating sustainability, reliability, and safety in chemical process design using advanced tools like process integration, simulation, and optimization. Ph.D., Texas A&M University, USA (2018) MSc., Chemical Engineering, University of Manchester, UK (2010) BSc., Chemical Engineering, University of Alabama (2001) His research spans desalination, process intensification, and the water-energy-food nexus, contributing to Saudi Arabia’s sustainable development goals. Recent articles highlight solar-assisted desalination, gas hydrate modeling, and hybrid desalination systems. Dr. Baaqeel leads projects in sustainable process design and collaborates with interdisciplinary centers at KFUPM.

Rodrigo de MiguelView profile

Professor

• Statistical Mechanics
• Thermodynamics
• Nanothermodynamics
• +5 more

Rodrigo de Miguel is a Professor in the Department of Teacher Education at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. His research bridges theoretical physics and science education, with a focus on thermodynamics and statistical mechanics applied to nanosystems. He is currently active in the department (though planning to be on leave during 2025/2026) and serves as a supervisor for master's students in science education. Professor de Miguel's research interests center on the theoretical foundations of thermodynamics, particularly as applied to small systems where classical thermodynamic frameworks break down. His work spans nanothermodynamics , strong coupling effects , non-extensive systems , and statistical mechanics at the nanoscale . He has made significant contributions to understanding how traditional thermodynamic principles must be modified when dealing with systems that are too small for classical thermodynamics but too large for quantum mechanical descriptions. His research has important implications for nanotechnology, molecular physics, and the teaching of modern physics concepts in educational settings. Analysis of his recent publications reveals a consistent trajectory exploring the boundaries of thermodynamic theory. His work demonstrates how systems at the nanoscale exhibit non-extensive and non-additive properties, challenging conventional thermodynamic paradigms. The research shows increasing sophistication in modeling thermophilic motion, surface properties at nanoscales, and the statistical mechanics of finite systems. His publications span prestigious journals including Physical Review Letters, Journal of Chemical Physics, and Nanomaterials, reflecting the interdisciplinary nature of his work which bridges physics, chemistry, and engineering. Professor de Miguel has been vocal about academic standards in teacher education, particularly criticizing what he terms 'self-accreditation' practices where faculty without proper subject didactics credentials supervise master's theses. He has argued that the mandatory master's thesis requirement for all primary school teachers in Norway may not be serving its intended purpose, as many supervisors lack the necessary academic credentials in specific subject didactics. As a supervisor, de Miguel offers master's projects focused on describing small systems, particularly examining how nanoscale phenomena challenge classical physics paradigms taught in schools. His current project description emphasizes the need to modernize science curricula to incorporate emerging understandings of nanosystems and their seemingly anomalous properties. He requires students to have strong backgrounds in quantum, statistical, and thermal physics before undertaking these advanced projects.

Patrice KoehlView profile

Professor

• Computational Biology
• Structural Bioinformatics
• Molecular Modeling
• +4 more

Patrice Koehl is a full-time Professor in the Department of Computer Science at the University of California, Davis. His research bridges computational biology, structural bioinformatics, and theoretical biophysics, focusing on geometric and physical modeling of biomolecular systems. He has made significant contributions to protein structure prediction, ion channel modeling, and development of computational methods for molecular simulations. Research interests include: Geometric modeling of biological macromolecules Optimal transport theory for shape analysis Statistical mechanics in biomolecular simulations Topological data analysis for cellular morphology Multi-scale modeling of viral structures Recent research trends show strong emphasis on: Protein conformational transitions using action minimization Persistence diagrams for morphological signatures Geometric approaches to assignment problems Computational methods for macromolecular surface analysis Interdisciplinary applications of physics to biological data

• Microwave Engineering
• Terahertz Technology
• Superconducting Materials
• +2 more

Vincent Desmaris is a Researcher at Chalmers University of Technology, where he is part of the Advanced Receiver Development (GARD) unit. He specializes in developing and manufacturing microwave and terahertz components for cryogenic receiver systems. Desmaris also serves as the primary supervisor for doctoral students focusing on superconducting materials and components. His academic background includes an MSc in Materials Science from INSA-Lyon (1999) and a PhD in Microwave Electronics from Chalmers University of Technology (2006). He joined GARD immediately after completing his doctorate. Desmaris's research centers on advanced technologies for submillimeter-wave applications. Key areas include superconducting devices, terahertz component design, nanostructured energy storage systems, and cryogenic instrumentation. His work directly supports astronomical projects like ALMA and APEX telescopes through innovations in receiver technology. Recent publications (2022-2025) demonstrate strong focus on: Wideband terahertz waveguide components (OMTs, hybrids, transitions) GaN HEMTs and superconducting Nb devices for low-noise cryogenic systems Ultra-high-density capacitors using carbon nanostructures Novel fabrication methods for metallic micromachined substrates He has contributed to instrumentation projects including SEPIA heterodyne receivers and the Heterodyne Receiver for Origins (HERO) space telescope concept. As main doctoral supervisor in GARD, he mentors students in superconducting materials research but specific student names are not disclosed.

• Computational Biology
• Infectious Disease Epidemiology
• Mathematical Modelling
• +3 more

Carolin Vegvari is a Visiting Researcher at the Department of Infectious Disease Epidemiology within the School of Public Health, Faculty of Medicine at Imperial College London. Education: PhD in Biological Anthropology, University of Cambridge Her research integrates computational biology with public health through stochastic simulation models of complex systems and clinical trial frameworks. Current projects focus on elimination strategies for neglected tropical diseases in collaboration with Roy Anderson. Her extensive portfolio includes antimicrobial resistance evolution analysis, environmental infectious disease risk mapping, obstetric care resourcing optimization, latent tuberculosis screening protocols for HIV patients, type II diabetes biomarker identification, pneumococcal vaccine development, and molecular resistance diagnostics. She also investigates cultural evolution dynamics through quantitative modeling of cognitive and social innovation processes.

• Physics
• Chemistry
• Mathematics
• +6 more

Dr. Gerko Oskam is a full professor at Pablo de Olavide University (UPO), Spain, affiliated with the Department of Physical, Chemical and Natural Systems. He leads research at the Centro de Nanociencia y Tecnologías Sostenibles (CNATS) within the FÍSICA ESTADÍSTICA DE LÍQUIDOS research group. His work focuses on semiconductor physics, renewable energy materials, and electrochemistry. Research Interests: Dr. Oskam investigates charge dynamics in metal oxide semiconductors, solar energy conversion systems, and nanomaterials for photovoltaics and photocatalysis. His research spans dye-sensitized solar cells (DSSCs), perovskite solar cells, and solar thermal collectors, emphasizing material synthesis, stability enhancement, and interfacial charge transfer mechanisms. Publication Trends: Recent work highlights innovations in perovskite solar cell stability via plasma polymer passivation WO3 nanomaterials for water splitting carbon-doped TiO2 photoanodes self-assembled monolayer interfaces low-cost solar collector coatings charge transport modeling . Laboratory & Collaborations: As principal investigator at CNATS, he contributes to doctoral programs in Molecular Simulation of Complex Systems and Chemical & Materials Technology, advancing sustainable nanoscience and environmental applications.

Laura McKemmishView profile

Senior Lecturer

• Quantum Chemistry
• Spectroscopy
• Astrochemistry
• +7 more

Laura McKemmish is a Senior Lecturer at the School of Chemistry , University of New South Wales (UNSW), specializing in computational chemistry at the intersection of quantum chemistry , astrochemistry , and molecular spectroscopy . She leads the SciX Discovery program, which supports high school students in authentic research, and serves as Director of Research-Integrated and Work-Integrated Learning in UNSW Science, focusing on inclusive education and curriculum innovation. Education: PhD in Theoretical Chemistry, Australian National University (2015). Her research develops computational tools to model exoplanet atmospheres , molecular line lists , and quantum chemical calculations , with applications in astrophysics and terrestrial chemistry . She emphasizes scalable, sustainable models for embedding research and computational skills into education. Article Trends : McKemmish’s recent work focuses on exoplanetary molecular spectroscopy (e.g., VO, TiO, ZrO), quantum basis set optimization , and high-throughput computational chemistry to address challenges in atmospheric and astrochemical data. Scientific Awards : RACI Vicki Gardiner Advocacy Award (2024) RACI Chemical Education Citation (2024) NSW Young Tall Poppy Science Award (2022) UNSW Arc Science Research Supervisor Awards (2022, 2024) Marie Skłodowska-Curie Fellowship (2016–2018) She has secured significant grants, including the Australian Government Maker Projects Grant for regional STEM outreach and a Google Educators Grant for data science teacher training. Her teaching integrates Python, computational methods, and generative AI across undergraduate and honors levels.

Carlos MoralesView profile

Associate Professor

• Game-based Learning
• Interactive Educational Technology
• Digital Video Production
• +4 more

Carlos Morales serves as Associate Professor at Purdue University's Polytechnic Institute, specializing in digital video, animation, and interactive technology for visual training solutions. His research focuses on game-based learning applications in chemistry education and innovative distance learning systems, with significant contributions to educational technology through interdisciplinary collaboration. His primary research domains include: Game-based Learning for STEM education Interactive Educational Technology development Digital Video Production for distance learning Animation Technology pipelines Mobile Learning Applications design Chemistry Education Technology integration Dr. Morales' publication record (2002-2007) demonstrates consistent innovation in chemistry video games and mobile learning solutions, featuring multiple collaborative projects with chemistry educators. His work bridges engineering design and educational theory to create validated tools that enhance student engagement through visual realism and sustained interactivity. As Principal Investigator and Co-PI, he has secured substantial research funding including: National Science Foundation: $539,999 for "Effective Distance Learning Through Sustained Interactivity and Visual Realism" (2003-2006) National Science Foundation: $200,000 for "Game-based Learning in Chemistry" (2003-2006) ITaP MIDC: $15,000 for "Development of Mobile Games for Chemistry" (2006-2007) Discovery Learning Center: $20,000 for Chemistry Video Game Development (2006-2007)

Nicole Li-JessenView profile

Associate Professor

• upper airway health and diseases
• computational medicine
• tissue engineering
• +5 more

Nicole Li-Jessen, PhD is an Associate Professor in the Department of Surgery at McGill University's Faculty of Medicine and Health Sciences and holds the Canada Research Chair (Tier 2) in Personalized Medicine of Upper Airway Health and Diseases. She serves as Graduate Program Director for the School of Communication Sciences and Disorders and is an Associate Investigator at The Research Institute of the McGill University Health Centre (RI-MUHC). Dr. Li-Jessen maintains additional affiliations with the Departments of Otolaryngology and Biomedical Engineering, and is a Research Member of Quantitative Life Sciences and McGill Regenerative Medicine Network. Dr. Li-Jessen's research laboratory integrates in vitro, in vivo, and in silico (computational) approaches to study vocal fold biology and wound healing, with the goal of generating computational platforms that guide surgeons and speech pathologists in voice repair methods. Her key research areas include: Non-invasive assessment of airway reflux Designing 3D printable biomaterial for laryngeal tissue and muscle reconstruction Creating wearable e-health devices for upper airway monitoring Agent-based modeling of vocal trauma and repair response Development of tumor-on-a-chip platforms for studying laryngeal cancer chemoresistance Her work is funded by a Canada Research Chair, the CIHR, NSERC, SSHRC, FRQS, and NIH in the United States. Dr. Li-Jessen has published extensively in high-impact journals across biomedical engineering, otolaryngology, and regenerative medicine fields, with recent publications focusing on vocal fold biomaterials, computational modeling of vocal pathology, and audio-based digital biomarkers for respiratory diseases. Dr. Li-Jessen has received several prestigious awards including the Canada Research Chair (2021), Principal's Prize for Excellence in Teaching (2018), and the Rosemary Wedderburn Brown Prize (2018). She serves as Section Editor of PLOS Digital Health and is actively involved in science policy as a Delegate for Science Meets Parliament. As Graduate Program Director, Dr. Li-Jessen oversees graduate thesis programs in the School of Communication Sciences and Disorders and has mentored numerous PhD, Master's, and undergraduate students. She leads the Voice and Upper Airway Research Lab (VUA Lab), which advocates for EDI principles in STEM and currently has open positions for PhD and post-doctoral researchers in computer modeling and digital health projects.

• Highway Engineering
• Asphalt Materials
• Pavement Design
• +5 more

Markus Oeser is a full professor at the Chair and Institute of Highway Engineering, affiliated with the Federal Highway Research Institute (BASt). His research advances pavement technology, smart infrastructure, and sustainable materials through computational modeling and experimental characterization. Research Focus His work spans: Advanced asphalt materials (self-healing, inductive, nano-enhanced) Digital twins for real-time pavement monitoring Traffic flow modeling and AI-driven infrastructure management Sustainable recycling of construction waste Piezoresistive sensors for smart roads Publication Trends (2024-2025) Recent articles emphasize multi-scale modeling (atomic to structural levels), integration of AI/ML in pavement systems, and sustainability-driven material innovations. Dominant themes include nanomaterial-enhanced composites, digital twins for infrastructure, and traffic microsimulation. Affiliations & Infrastructure Leads research at BASt's highway engineering facilities, leveraging laboratories for materials testing, computational modeling, and full-scale pavement validation.

• Machine Learning
• Quantum Computing
• Computational Biology
• +2 more

Lasse Bjørn Kristensen is a Research Fellow at the Department of Computer Science, University of Copenhagen, specializing in Machine Learning with a focus on quantum computing applications. Research Interests His work bridges quantum computing, machine learning, and computational biology, with contributions to: Quantum neural networks and spiking neurons Quantum error correction and circuit robustness Quantum chemistry simulations Information flow in parametrized quantum systems Notable Research Trends Kristensen's publications reveal a strong emphasis on quantum-classical hybrid models, entanglement-enhanced devices, and computational methods for chemistry and physics. His recent work explores error-driven learning paradigms and quantum eigensolvers. Contact Email: lakr@di.ku.dk Address: Universitetsparken 1, 2100 Copenhagen Ø

• Medicinal Chemistry
• Organic Synthesis
• Antimicrobial Resistance
• +3 more

Dianqing Sun, Ph.D. , is a Professor in the Department of Pharmaceutical Sciences at the Daniel K. Inouye College of Pharmacy, University of Hawaiʻi at Hilo. He holds a Master and Ph.D. in Organic Chemistry from East China University of Science and Technology and the University of Memphis, respectively, and completed postdoctoral training in Medicinal Chemistry at the University of Tennessee Health Science Center. Master, Organic Chemistry - East China University of Science and Technology, Shanghai, China Ph.D., Organic Chemistry - The University of Memphis, TN, USA Postdoctoral Fellow, Medicinal Chemistry with Richard Lee - University of Tennessee Health Science Center, TN, USA Dr. Sun's research focuses on medicinal chemistry , organic synthesis , and drug discovery for antimicrobial resistance and anticancer agents . His work includes solid-phase synthesis , macrocyclic compounds , and structure-activity relationships . Recent publications highlight advancements in antibiotic hybrids , natural product chemoprevention , and microwave-assisted chemical methods . He has received multiple honors, including: Student Choice Award for Teaching Pharmaceutical Sciences (2021, 2020, 2019) Excellence in Scholarly/Creative Activities Award, UH Hilo (2017) AACR Minority-Serving Institution Faculty Scholar in Cancer Research Award (2016) Gordon Research Conference Awards (2014, 2005) Dr. Sun has secured grants from the Department of Defense, NIH (R01, R21, R15), INBRE, Hawaii Community Foundation, and UH Cancer Center, focusing on antibacterial development , anticancer research , and drug efflux mechanisms .

• Bioinformatics
• Time Series Analysis
• Machine Learning
• +3 more

Patrick Schäfer is a Researcher at the Institute of Computer Science, Humboldt University of Berlin. His work focuses on time series analytics, bioinformatics, and data series management. He contributes to unsupervised learning algorithms and temporal data mining. Affiliation: Institute of Computer Science, Faculty of Mathematics and Natural Sciences, Humboldt University of Berlin Email: Patrick.Schaefer@hu-berlin.de Phone: 030 2093-41287 Address: Unter den Linden 6, 10099 Berlin Research Interests His research spans time series classification , segmentation algorithms , and bioinformatics data management . He develops tools for unsupervised analysis of multidimensional temporal data, focusing on motif detection, similarity search, and efficient indexing. Key Themes : Parameter-free temporal data analysis High-dimensional time series similarity search Unsupervised motif discovery Human activity segmentation benchmarks Integration of time series analytics with molecular simulations

Matthew DobsonView profile

Associate Professor

• Multiscale modeling
• numerical analysis

Matthew Dobson is an Associate Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst, based in Lederle Graduate Research Tower 1430 (710 N Pleasant Street, Amherst, MA). His contact details include email dobson@math.umass.edu and phone (413) 545-7194. His research centers on multiscale modeling and numerical analysis , developing mathematical frameworks for complex systems spanning atomic to continuum scales. Key applications include battery thermal management, fluid dynamics, and stochastic processes, with emphasis on computational efficiency and mathematical rigor. Analysis of his 2014-2025 publications reveals dominant themes in battery safety (thermal runaway prevention, cell failure propagation) and advanced numerical methods (Fokker-Planck solvers, nonequilibrium dynamics). His work bridges applied mathematics with electrical engineering through multiscale simulations and data-driven algorithms. Scientific awards: No awards documented in provided information. Academic mentorship and funding: No information regarding students, grants, or sponsored projects is available in the source material. Research infrastructure: No specific laboratories, teams, or collaborative groups are mentioned.

• Computational Fluid Dynamics
• Chemical Engineering
• Porous Media
• +7 more

Gianluca Boccardo is an Associate Professor at the Department of Applied Science and Technology (DISAT) at Polytechnic University of Turin, where he conducts research at the intersection of computational fluid dynamics, deep learning, and porous media applications. His work bridges theoretical chemical process development with practical industrial applications in energy systems and sustainable engineering. His research interests span multiple domains of engineering and computational science: Computational Fluid Dynamics for complex engineering systems Deep learning applications in chemical process modeling Multiscale modeling of transport phenomena in porous media Energy processes engineering and sustainable technologies Fluid mechanics applications in industrial contexts Analysis of his recent publications reveals a strong trend toward integrating machine learning techniques with traditional computational methods to solve challenging problems in chemical engineering. His work particularly focuses on applying these hybrid approaches to porous media systems, pharmaceutical processes, and energy storage technologies, demonstrating a commitment to both theoretical advancement and practical industrial application. Professor Boccardo actively supervises numerous PhD students working on cutting-edge research topics and leads significant research initiatives including the MULTIPHASE Erasmus Mundus Joint Master program and the BATCAT Battery Cell Assembly Twin project. His research group receives funding from both competitive EU grants and commercial contracts with industry partners. He is an active member of the Molecular Engineering Lab (MolE) and the Multiscale Modeling research group at DISAT, where his team develops innovative approaches to modeling complex chemical processes and developing sustainable engineering solutions.