Find Academic Supervisors

• Numerical Analysis
• Virtual Element Methods
• Partial Differential Equations
• +3 more

Andrea Borio is an Associate Professor at the Department of Mathematical Sciences 'GL Lagrange' (DISMA) at Politecnico di Torino. He is affiliated with the College of Mathematical Engineering and College of Mechanical, Aerospace and Automotive Engineering . His research focuses on Numerical Analysis , Virtual Element Methods , Partial Differential Equations , and Mesh Adaptivity . Research Interests: A posteriori error estimates, mesh adaptivity for polygonal/polyhedral grids, stabilization-free numerical methods, and applications of virtual element methods in geomechanics, biomedical simulations, and coupled flow problems. Recent Publications highlight advancements in stabilization-free virtual element methods for elliptic equations, divergence-free projections, and software frameworks like POLYDIM and GEOS for large-scale simulations. His work spans applications in underground fluid storage, brain tumor modeling, and discrete fracture networks. Teaching: Courses include Sobolev Spaces on Non-Smooth Domains , Solving PDEs on Polygonal Meshes , and modules on numerical models/methods across Mathematical, Mechanical, and Aerospace Engineering programs. Students: Supervises Davide Fassino, a PhD student in Pure and Applied Mathematics (38th cycle, 2022–ongoing). Skills: ERC sectors include numerical analysis, scientific computing, and mathematical applications in industry.

Miriam SchulteView profile

Professor

• High-Performance Computing (HPC)
• Parallel and Distributed Systems
• Scientific Computing
• +5 more

Miriam Schulte is a Professor at the Institute for Parallel and Distributed Systems (IPVS) at the University of Stuttgart . As Dean of Studies SimTech , she leads academic programs in simulation technology. Her research focuses on high-performance computing , multi-physics simulations , and scientific software development , with significant contributions to coupling libraries like preCICE and biophysical frameworks like OpenDiHu . Key Research Areas: High-Performance Computing (HPC) Multi-physics and Fluid-Structure Interaction (FSI) Sparse Grids and Hierarchical Numerical Methods Machine Learning in Simulation Software Parallel and GPU-Accelerated Algorithms Advising: Guided student projects on quantum neural networks , GPU-optimized sparse grids , and SYCL-based HPC frameworks . Coordinated SimTech Research Modules and IPVS/SGS team initiatives. Software Leadership: Maintains preCICE (coupling library for multi-physics) Develops OpenDiHu (neuromuscular simulations) Advances PLSSVM (parallel SVM library) and SG++ (sparse grids) Her recent publications (2022–2025) emphasize machine learning integration with multi-physics simulations , including groundwater heat pumps , brain tumor modeling , and neuromuscular EMG prediction . She actively promotes open-source software sustainability and collaborative research infrastructure at the University of Stuttgart.

• Telecommunications
• Wireless Communication
• Terahertz Technology
• +7 more

Kazuhiko Tamesue is an Associate Professor at the Faculty of Science and Engineering , Waseda University , with a focus on Terahertz Communication , Artificial Intelligence , and IoT Network Security . His academic journey spans academia and industry, including long-term roles at Panasonic Corporation (1991–2009) and current leadership in advanced wireless systems since 2022. Research Areas : Telecommunications, Wireless Hardware, Data Science, Machine Learning, Atmospheric Sensing Key Contributions : Pioneering 300GHz OFDM transceivers, AI-driven GNSS spoofing detection, and dual-frequency THz radar for cloud physics Projects : NICT-funded terahertz networks (2023–2024), ultra-low-latency systems (2022–2024), and security-enhancing radar technologies His 15 most recent publications (2024–2008) demonstrate expertise in (1) terahertz propagation for NTN/HAPS platforms, (2) machine learning for security (LSTM, GANs), and (3) next-generation IoT protocols (LPWAN, distributed ledger). He holds 20+ patents in antenna design, direct-conversion receivers, and power line communication. As an IEEE and IEICE member, he contributes to standards in 5G/6G and EMC.

Mattias AleniusView profile

Professor

• Molecular Neuroscience
• Olfaction
• Gustation (Taste)
• +7 more

Mattias Alenius is a full Professor at the Department of Molecular Biology , Umeå University , Sweden, where he heads an active research group investigating the molecular and cellular bases of olfaction and taste. His laboratory exploits the genetic tractability of Drosophila and the physiological relevance of mouse models to uncover conserved mechanisms that govern sensory neuron specification, ciliary trafficking, and systemic feedback control of sensory perception. Research Focus His team is particularly interested in: Homeostatic control of neuronal activity and how its failure leads to neurodegenerative diseases. Olfactory and gustatory circuits —leveraging the numerically simple and genetically powerful Drosophila system. Hedgehog signaling and its role in ciliary transport of odorant receptors across species. Inter-organ communication , including gut-to-brain signaling that modulates feeding behavior. Epigenetic inheritance , exploring how paternal diet shapes chromatin states and metabolic phenotypes in offspring. Methodologically, the group integrates in vivo genetics, single-cell transcriptomics, live-cell imaging, cryo-EM, and behavioral assays to dissect these processes from molecule to organism. Scientific Output & Trends Across more than two decades, Prof. Alenius has produced a steady stream of high-impact publications in journals such as Nature Communications , Cell Reports , PNAS , Cell , PLoS Biology , and BMC Biology . His recent work (2022-2024) increasingly centers on nutrient sensing and gut-brain taste modulation , while earlier studies laid the groundwork for understanding ciliary dynamics and transcriptional codes specifying olfactory receptor choice. Collectively, the publications reveal a trajectory from developmental specification of sensory neurons to systemic metabolic control, unified by a focus on hedgehog signaling , cilia-mediated processes , and transcriptional/epigenetic mechanisms . Labs & Teams Prof. Alenius leads the Group Mattias Alenius located in rooms 6K and 6L within the hospital area at Umeå University. The group participates in the university’s Department of Molecular Biology and collaborates extensively across neuroscience and metabolism communities both nationally and internationally. Contact Email: mattias.alenius@umu.se Phone: +46 90 786 91 57

• Architected Materials
• Physics and Mechanics of Heterogeneous Media
• Numerical Modeling and Simulation
• +4 more

Justin Dirrenberger is an Associate Professor (Maître de conférences HDR) at Conservatoire National des Arts et Métiers (CNAM) with a joint appointment at Arts et Métiers ParisTech (ENSAM), where he leads the CoMet research team (Comportement et microstructure des Métaux) within the PIMM laboratory. His work bridges fundamental mechanics with industrial applications in additive manufacturing, focusing on architected materials for aerospace, biomedical, and space sectors. Dirrenberger's research centers on architectured materials—including auxetics, metamaterials, and lattice structures—with expertise in computational homogenization, laser-based metal processing, and multi-material 3D printing. Key areas include instability-induced pattern generation, mechanical behavior of heterogeneous media, and sustainable manufacturing processes. His methodology integrates numerical modeling (using Zébulon code) with experimental validation through advanced laser systems and mechanical characterization. Recent publications (2023-2025) reveal strong trends toward bioinspired 4D printing, lunar construction materials (ESA project), and laser-optimized metal lattice production. His work consistently appears in high-impact journals (Materials & Design, Small, Advanced Materials Technologies), demonstrating both theoretical depth and industrial applicability in lightweight structures and energy-absorbing systems. Dirrenberger currently leads five major projects: ANR MIRACLES (2024-2027): Resilient micro-lattices inspired by crystal plasticity H2020 REDI (2022-2027): European doctoral training with RMIT University ANR REDESIGN4D (2021-2026): Machine learning-driven adaptive composites ESA MOON-COMP (2022-2025): Lunar 3D printing for energy dissipation ANR ModuFEET (2021-2026): Reliable power electronics modules He previously directed CNAM's Materials Engineering Program (2017-2024) and led ANR SCOLASTIC (2015-2020) on laser-processed steel. The CoMet team operates within PIMM's advanced experimental ecosystem, utilizing Laser Choc (shock), Héphaïstos (thermal), and MESO 3D-Panam platforms for material processing. Current work focuses on translating computational models into printable architectures—from biomedical scaffolds to lunar construction materials—through close industry collaboration with aerospace, automotive, and space sector partners.

• Wireless Communications
• Signal Processing
• Artificial Intelligence
• +5 more

Berker Peköz serves as Assistant Professor in the Department of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University's College of Engineering. His expertise spans wireless communications, artificial intelligence security, and hardware systems, with significant contributions to 5G/6G technologies and aerospace applications. His educational foundation includes: B.S. in Electrical & Electronics Engineering M.S. in Electrical Engineering Ph.D. in Electrical Engineering Research focuses on cutting-edge intersections of communications and AI, particularly transformer model security, antenna-based authentication, and error-correction for emerging hardware. His work bridges theoretical innovation with practical aerospace implementations, evident in patents for antenna array geometries and publications addressing real-world challenges like contested IoT environments and spectral efficiency. Recent publications (2019-2025) show accelerating output with increasing emphasis on AI security frameworks. Scientific recognition includes: National Academy of Inventors membership (2019) Tau Beta Pi honor society induction (2018) Funding is evidenced through patent activity and consistent publications, though specific grants aren't detailed. He mentors students through undergraduate courses (EE 307 Avionics I, EE 327 Electrical Engineering Fundamentals) with likely graduate research supervision in communications security. His interdisciplinary approach connects electrical engineering fundamentals with next-generation AI and aerospace systems, positioning students for careers in secure communications and hardware innovation.

• Telomere Biology
• Chromosome Dynamics
• Telomerase Regulation
• +4 more

Peter Baumann is Professor of Molecular Biology at Johannes Gutenberg University Mainz, where he serves as Director of the Centre for Healthy Ageing and Adjunct Director of the Institute of Molecular Biology. His current affiliations include leadership roles at these institutes, along with previous positions at the University of Kansas Medical Center and Howard Hughes Medical Institute. Research in the Baumann Lab spans telomere biology, chromosome dynamics, and evolutionary genetics. Key interests include: Telomerase assembly and regulation in yeast/humans Chromosome end-protection mechanisms Molecular basis of parthenogenesis in reptiles Evolutionary consequences of hybridization and polyploidy This work bridges fundamental mechanisms of genome stability with implications for cancer and regenerative medicine. Significant scientific honors include: EMBO Membership (2019) HHMI Investigator (2013-2018) Alexander von Humboldt Professorship HHMI Early Career Scientist (2009-2013) The lab maintains active collaborations internationally and utilizes diverse model systems from fission yeast to reptiles. Current work focuses on identifying compounds to modulate telomerase activity for therapeutic applications.

Xiao YuView profile

Researcher

• LLMs Data Governance and Evaluation
• Intelligent Software Engineering
• Software Security and Reliability
• +2 more

Xiao Yu is a Research Fellow (Assistant Research Professor) at the State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China. Previously, they were a Postdoctoral Researcher at Huawei under Prof. Xin Xia. They hold dual PhD degrees: from Wuhan University's School of Computer Science (December 2020) supervised by Prof. Jin Liu, and from City University of Hong Kong's Department of Computer Science (March 2021) supervised by Prof. Qing Li and Prof. Jacky Wai Keung. Research focuses on three interconnected domains: LLMs Data Governance and Evaluation addressing hallucination phenomena and task-specific LLM evaluation in software engineering; Intelligent Software Engineering leveraging deep learning for code generation, annotation, and maintenance; and Software Security and Reliability investigating vulnerability detection, log anomaly identification, and security bug classification. Their work bridges theoretical advancements with industrial applications, particularly in blockchain and data security contexts. Recent publications demonstrate strong trends in realistic LLM evaluation (RealisticCodeBench), vulnerability detection using semi-supervised learning, and industrial anomaly detection. Key thematic areas include effort-aware defect prediction, code smell detection, and the practical application of large language models in software engineering tasks, with increasing emphasis on data quality and privacy considerations. Xiao Yu actively contributes to the academic community through extensive service roles including journal reviewing for ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Dependable and Secure Computing, and serving on program committees for major conferences like APSEC 2025 and ASE 2025. They have supervised numerous graduate students as evidenced by authorship patterns in publications. Based at Zhejiang University's State Key Laboratory of Blockchain and Data Security, their research operates at the intersection of academic rigor and industrial relevance, with strong collaborations spanning multiple institutions including Huawei, Wuhan University, and City University of Hong Kong.