Find Academic Supervisors

Mattia Zorzi is an Associate Professor in the Department of Information Engineering at the University of Padova, Italy. He has held academic positions since 2014, transitioning from Assistant Professor to Associate Professor in 2020. His research focuses on system identification, machine learning, and robust control, with applications in dynamic brain networks, robotic systems, and quantum information processing. Education: Ph.D. and M.S. in Information Engineering from University of Padova International Experience: Visiting Scientist at University of Cambridge (2013-2014), Research Associate at University of Liege (2013-2014) Zorzi's research integrates robust and distributed filtering, inverse dynamics learning, and nonparametric identification of Kronecker networks. His work bridges theoretical advancements in spectral estimation with practical applications in neuroscience (e.g., effective connectivity analysis) and control systems (e.g., robust Kalman filtering under uncertainty). Recent publications (2024-2023) demonstrate expertise in ARMA graphical models, kernel-based estimation, and optimal transport for Gaussian processes. He has contributed to the IEEE and IFAC communities as Associate Editor and actively participates in editorial roles for leading journals. Scientific Awards: IEEE Senior Member (2021) Member of IFAC Technical Committee TC 1.1 (2018) Associate Editor roles in Automatica, IEEE Control Systems Letters, and major conferences Grants & Collaborations: Collaborated on projects involving quantum channel estimation, free-space quantum communication, and biomedical signal processing.

• Learning Dynamic Networks from data
• Robust and distributed filtering
• Dynamic Brain Networks
• +8 more

Dr. Richard Levi Lubman is an Associate Professor of Medicine at the Keck School of Medicine of USC, holding dual academic appointments in the Department of Physical Therapy and Biokinesiology and the Department of Physiology and Biophysics. He also served as a Visiting Professor at Imperial College London's Tissue Engineering and Regenerative Medicine Centre (2004). Clinically, he serves as an attending physician at Keck Hospital of USC, USC/Norris Comprehensive Cancer Center, and LAC+USC Medical Center. His research focuses on alveolar epithelial cell biology, ion transport mechanisms, and extracellular matrix interactions. He has authored over 60 peer-reviewed articles, contributed to book chapters, and delivered lectures across the U.S. and Canada. His work has been supported by grants for 13 research studies, reflecting his expertise in respiratory physiology and cell signaling. Dr. Lubman has received numerous awards, including the American Heart Association Initial Investigator (1993-1995), Parker B. Francis Foundation Fellowship (1988-1991), and scholarships from New York State Regents and Cornell. His research highlights include studies on alveolar epithelial cell polarity, extracellular matrix-driven differentiation, and the role of growth factors like KGF in modulating cell function. His clinical interests align with his research, emphasizing translational applications in pulmonary medicine.

• Respiratory Physiology
• Cell Biology
• Extracellular Matrix Studies
• +3 more

Robert T.W. Martin is an Associate Professor in the Department of Mathematics at the University of Manitoba. His research focuses on extending classical Hardy space theory to multi-variable and non-commutative settings, including operator theory, functional analysis, and free analysis. He collaborates with researchers like Michael Jury and Eli Shamovich on topics such as non-commutative Clark measures, Hardy space extensions, and Lebesgue decomposition in non-commutative measure theory. His work bridges abstract operator theory with applications in mathematical physics, including studies on quantum uncertainty and spacetime cutoffs. Key contributions include extending Fatou's theorem to non-commutative measures and developing frameworks for non-commutative inner-outer factorizations. Martin's publications frequently appear in top journals like Advances in Mathematics and Journal of Functional Analysis .

• Functional Analysis
• Operator Theory
• Analytic Function Theory
• +3 more

Filip Hammaréus is a Research Fellow at Linköping University, combining his role as an intern physician with cardiovascular research. He is affiliated with the Department of Health, Medicine and Caring Sciences and the Division of Diagnostics and Specialist Medicine. His work focuses on extracellular matrix biomarkers in blood and their association with cardiovascular risks, such as coronary artery disease and aortic dilation. Education & Career: Accepted into medical school at Linköping University (2017) Joined 'forskarlinjen' (research program) in 2021 PhD student since August 2021 Master of Science in Medicine (2023) Intern Physician at Region Jönköpings län since February 2023 Research Interests: His studies explore how biomarkers like collagen α1 chain and wall shear stress patterns predict cardiovascular risks. He investigates mechanisms linking inflammation, collagen synthesis, and vascular pathology in conditions like aortic dilation and coronary artery disease. Key Projects: SCAPIS: A national cohort study using imaging and biomarkers to assess cardiovascular risks AscA-studien: Investigating aortic dilation and its progression SCAPIS Leukocyte: Linking immune responses, diet, and atherosclerosis Collaborations: Works with researchers like Lena Jonasson (Dean/Professor), Lennart Nilsson (Associate Professor), and Chiara Trenti (Postdoc) on interdisciplinary cardiovascular projects. News Contributions: His team’s discovery of abnormal blood flow patterns damaging the aorta (2024) highlights translational impacts of his research.

• Cardiovascular Disease
• Extracellular Matrix Biomarkers
• Aortic Dilation
• +3 more

Tom Sizmur is a Professor at the University of Reading, specializing in soil science, environmental toxicology, and biogeochemical processes. His research focuses on soil microbial dynamics, biochar applications for contaminant remediation, mercury cycling, and the ecological impacts of earthworms on heavy metal mobility. Key Research Areas: Biochar for soil recovery, nitrogen and carbon cycling, earthworm-plant-soil interactions, and floodplain/marine ecosystem health. Recent Publications (2022–2025): Sizmur's work examines how biochar and organic amendments immobilize heavy metals in contaminated soils, the role of soil microbial biomass in nitrogen retention from anaerobic digestate, and the influence of climate factors like temperature oscillations on soil respiration and microbial activity. He investigates microplastic fibers as mercury vectors and evaluates sustainable farming practices such as Zero Budget Natural Farming in India. Collaborative Efforts: Sizmur collaborates with international researchers on topics spanning cocoa agroecosystems, heathland restoration, and pollutant source diagnostics in marine sediments. His studies often integrate multidisciplinary approaches to address soil fertility, contaminant management, and ecosystem sustainability.

• Soil Science
• Environmental Toxicology
• Biogeochemistry
• +4 more

Professor Adnane Achour is a faculty member at Karolinska Institutet's Department of Medicine, Solna, leading the Structural and Biophysical Immunology research group. He obtained his PhD in 2001 from Karolinska Institutet, focusing on structural studies of MHC class I complexes. His research integrates structural biology, biophysics, and immunology to understand pathogen-derived virulence factors and design immunotherapeutic strategies. Key areas include MHC-peptide interactions, SARS-CoV-2 mechanisms, and vaccine development. He has held senior positions, including a Swedish Research Council Rådsforkare (2008–2014), and directs a national mass-cytometry platform. His work spans over 150 publications, with recent focus on viral immune escape, cancer immunotherapy, and structural insights into protein dynamics.

• Immunology
• Structural Biology
• Molecular Biology
• +3 more

Bodil Lund is a Professor of Oral and Maxillofacial Surgery and Head of the Department of Dental Medicine at Karolinska Institutet. She holds dual roles as a Senior Dentist and academic leader, focusing on translational research and clinical practice. Education: Docent, Karolinska Institutet (2011) Doctor of Philosophy, Department of Laboratory Medicine, Karolinska Institutet (2003) Research Interests: Antibiotic Stewardship: Optimizing antibiotic use in dentistry to combat resistance, including guideline development and educational initiatives through collaborations with national agencies like Strama. Temporomandibular Joint (TMJ) Disorders: Investigating diagnostic classification, treatment efficacy, and patient outcomes using clinical trials and basic science. Research focuses on surgical interventions, biomarkers, and non-surgical alternatives for treatment-resistant cases. Clinical Translation: Bridging epidemiology, surgery, and basic research to address gaps in dental antibiotic use and TMJ pathophysiology. Article Trends: Recent publications emphasize antibiotic use optimization, surgical outcomes (e.g., orthognathic surgery costs, TMJ arthroplasty), and patient-centered metrics like quality of life post-surgery. Themes include evidence-based practice, infection control, and interdisciplinary collaboration. Grants & Leadership: Lead the SWEREG-TMD national registry for temporomandibular disorders. Guided implementation of web-based simulation tools for dental student training. Active in strategic programs to reduce antibiotic resistance in dentistry. Labs/Teams: Collaborates with multidisciplinary groups including rheumatology, microbiology, and public health experts. Leads the Antibiotic Stewardship Research Group and the TMJ Surgery Outcomes Team.

• Antibiotic Stewardship
• Oral and Maxillofacial Surgery
• Temporomandibular Joint Disorders
• +3 more

Elad Zelingher is a Donald J. Lewis Postdoctoral Research Assistant Professor in the Department of Mathematics at the University of Michigan. He holds a Ph.D. from Yale University (2022), an M.S. from Tel-Aviv University (2017), and a B.S. from Tel-Aviv University (2014). His research focuses on Number Theory and Representation Theory, particularly exploring automorphic forms, gamma factors, and representations of algebraic groups. His recent work includes studies on tori periods of Weil representations, Speh representations in supercuspidal contexts, and Bessel functions in finite linear groups. These investigations contribute to foundational questions in algebraic geometry and the Langlands program. His articles often bridge Number Theory and Representation Theory, addressing topics like Kloosterman sums, Hall-Littlewood polynomials, and exterior square gamma factors. Zelingher’s research also engages with finite field analogs and p-adic groups, emphasizing connections between algebraic structures and automorphic L-functions. He currently works within the Mathematics Department at the University of Michigan, contributing to its vibrant research environment in Number Theory.

• Number Theory
• Representation Theory
• Algebra

Daniel H. Cohn is a Professor at the University of California Los Angeles (UCLA) in two departments: Molecular, Cell and Developmental Biology and Orthopaedic Surgery . His research focuses on the molecular mechanisms underlying genetic skeletal disorders, including osteogenesis imperfecta, chondrodysplasias, and ciliopathies. His work spans genetic mutation analysis , signaling pathway characterization , and translational studies using mouse models. Recent publications highlight his contributions to understanding FGF signaling , TGFβ/BMP modulation , and collagen biosynthesis in skeletal development. Scientific trends in his publications include genotype-phenotype correlations in skeletal dysplasias, exome sequencing applications , and therapeutic interventions for connective tissue disorders. Collaborations with international consortia like the University of Washington Center for Mendelian Genomics underscore his role in global genetic research efforts.

• Genetic Skeletal Disorders
• Medical Genetics
• Molecular Biology
• +3 more

Dr. Ann Na Cho is a Lecturer in the School of Biomedical Engineering at the University of Sydney, where she serves as Principal Investigator and Group Leader of the human Brain Microphysiological System (hBMS) Laboratory. She holds prestigious fellowships including the Sydney Horizon Fellowship and NHMRC Emerging Leadership Fellowship. Dr. Cho is also a member of The University of Sydney Nano Institute, the Brain and Mind Centre, and the Charles Perkins Centre. Dr. Cho's research focuses on developing innovative human brain organoids and microphysiological systems to model brain function and disease. Her expertise spans stem cell biology, tissue engineering, microfluidics, biomaterial chemistry, nanomedicine, drug development, and bioinformatics. She established the world's first Tissue engineered human brain-on-a-chip combining human pluripotent stem cells, 3D brain-mimetic biomaterial and organ-on-a-chip technology, with her pioneering work published in high-impact journals including Nature Communications, Nature Biomedical Engineering, and Science Advances. Her research has significant implications for understanding neurological disorders, viral infections' effects on the brain (including SARS-CoV-2 induced 'brain fog'), and developing personalized therapeutic approaches without relying on animal models. Dr. Cho's publications demonstrate a clear trajectory from fundamental stem cell and tissue engineering research toward increasingly sophisticated brain models with clinical applications, particularly in neuroinflammation, psychiatric disorders, and neurodegenerative diseases. MIT Technology Review, Innovators Under 35 (TR35) Asia Pacific (2024) Australian Museum Eureka Prize Finalist for Outstanding Early Career Researcher (2024) Dean's Award, University of Sydney, Outstanding Research (2025) Vice-Chancellor Award, University of Sydney, Early Career Research of the Year (2025) Member of the Year in Nano Institute (2024) Dr. Cho mentors multiple graduate students working on cutting-edge projects including human cortex-midbrain organoid-on-a-chip platforms, neuroinflammation modeling, and mechanisms regulating TDP-43 dysfunction. She has secured significant research funding including NHMRC Investigator Grants and Sydney Horizon Fellowships focused on modeling neuroinflammation, viral infections, and developing personalized brain models for Alzheimer's disease. Her laboratory serves as a hub for interdisciplinary collaboration, connecting neuroscience, engineering, and clinical research to advance our understanding of brain function and disease.

• Human 3D Organoids
• Brain Organoid
• Tissue Engineering
• +10 more

Professor MALESCI ALBERTO CARLO PIERO is affiliated with the School of Medicine and Surgery at the Catholic University of the Sacred Heart, where he holds the academic rank of Professor. His research focuses on gastroenterology, oncology, and molecular mechanisms underlying diseases such as Barrett's esophagus, pancreatic cancer, and inflammatory conditions like Crohn's disease. He actively contributes to clinical studies on endoscopic management techniques for gastrointestinal disorders and has authored numerous peer-reviewed articles. His work integrates molecular biology insights with clinical practice, particularly in cancer pathogenesis and genetic predisposition studies. Teaching responsibilities include courses on gastroenterology within the Master's Degree in Medicine and Surgery program. He is also affiliated with the Doctoral College in Molecular Medicine at the University of Milan, reflecting his interdisciplinary research interests. His publications highlight expertise in endoscopic innovations, inflammatory processes, and translational oncology, positioning him as a key figure in digestive medicine and molecular research. While no formal awards are listed, his prolific publication record and involvement in international guidelines (e.g., DIRECt Initiative) underscore his academic and clinical leadership. Ongoing research explores genetic and environmental factors in gastrointestinal cancers, with a focus on early-onset colorectal cancer and hereditary syndromes.

• Gastroenterology
• Oncology
• Molecular Medicine
• +3 more

Jun Wang is a Professor of Pathology at Lincoln Memorial University's DeBusk College of Osteopathic Medicine (DCOM) in Knoxville, TN. Their academic work spans pathology, reproductive biology, and integrin signaling with a focus on blastocyst implantation, trophoblast adhesion, and breast cancer diagnostics. Email: jun.wang@lmunet.edu Research trends include: Investigating molecular mechanisms of embryo implantation (calcitonin receptors, integrin signaling) Diagnostic pathology studies (breast cancer, lymphoma, mucinous lesions) Cell adhesion and migration dynamics in trophoblast differentiation Calcium signaling in embryonic development

• Pathology
• Reproductive Biology
• Integrin Signaling
• +7 more

Prof. Diana Estévez Black is a Professor at Berlin University of Technology, affiliated with Department II (Mathematics, Physics, Chemistry). She specializes in Numerical Analysis and Differential-Algebraic Equations (DAEs), focusing on numerical methods, matrix factorization, and computational techniques for solving complex mathematical models. Teaching: She teaches courses in Applied Mathematics, Biotechnology Mathematics, Computational Engineering, and Mechanical Engineering programs, including Numerical Mathematics, Linear Algebra, and Numerics for graduate-level engineering disciplines. Research: Her work emphasizes DAE analysis, singular value decomposition, and eigenvalue problems. She has developed software like InitDAE for consistent initialization of DAEs and published extensively on topics such as robotic arm dynamics, multirate PDAEs, and tax policy modeling. Her research bridges theoretical mathematics with practical applications in engineering and economics. Labs/Tools: She contributes to software development (e.g., Python-based InitDAE ) and maintains visualization resources for numerics education, including Hinton diagrams for matrix factorization and animations for discrete mathematics concepts.

• Numerical Analysis
• Differential-Algebraic Equations (DAEs)
• Linear Algebra
• +3 more

Mel Chekol is an Assistant Professor at Utrecht University, affiliated with the Data Intensive Systems group within the Science faculty. He holds a PhD from INRIA Rhône-Alpes and a double MSc from Vienna University of Technology and Free University of Bozen-Bolzano. His research focuses on knowledge graphs, spatio-temporal data integration, probabilistic inference, and scalable machine learning applications. Previously, he worked at institutions including INRIA Nancy Grand Est, University of Mannheim, and the National Institute of Informatics in Tokyo. Key research interests include reasoning in knowledge graphs, temporal data modeling, and applying language models to enhance knowledge representation. He contributes to projects like the Utrecht Platform for Applied Data Science and has collaborated on frameworks such as the EXMO and WAM teams. His work emphasizes practical applications of AI and data science in governance and sustainability. Mel has published extensively in venues like VLDB Journal, ISWC, and AAAI, focusing on topics like rule learning, temporal knowledge graphs, and scalable inference systems. His research bridges theoretical advancements with real-world data challenges.

• Knowledge Graphs
• Artificial Intelligence
• Data Science
• +4 more

Riccardo Di Santo is a Fixed-term Researcher at Link Campus University in Rome, specializing in Applied Physics with a focus on biomedical applications. His academic role involves advanced research in biophysical, biostatistical, and nanotechnological techniques for medical diagnostics. He earned his PhD in 'Morphogenesis and Tissue Engineering' from Sapienza University of Rome in 2021. His research emphasizes spectroscopic characterization of extracellular vesicles as cancer biomarkers, leveraging plasmonic nanostructures and mid-infrared detection. Key areas include antibacterial nanomaterials (e.g., graphene quantum dots), biomarker discovery for autoimmune diseases, and post-pandemic substance abuse trends. He has pioneered machine learning approaches for non-invasive disease staging and collaborated on projects involving red blood cell biomechanics in diabetes. Riccardo's work spans interdisciplinary domains such as nanomedicine, toxicology, and clinical proteomics. His articles frequently intersect with translational medicine, aiming to bridge fundamental research and clinical applications. Notable contributions include studies on syndecan-1 in rheumatoid arthritis, glyphosate detection using graphene probes, and surgical outcome predictors for bariatric interventions. Though no formal awards are listed, his extensive publication record reflects significant contributions to biomarker development and nanotechnology-driven diagnostics. He maintains an open-door policy for students post-lecture or by email appointment.

• Biophysics
• Nanotechnology
• Medical Diagnostics
• +3 more