جست‌وجوی استاد و پژوهشگر

• Biomedical Engineering
• Optical Spectroscopy
• Medical Instrumentation
• +۳ مورد دیگر

B.H.W. Hendriks is a Professor in the Department of Mechanical Engineering at Delft University of Technology, specializing in Medical Instruments & Bio-Inspired Technology. His research develops optical and signal processing solutions for medical applications, particularly in surgical environments and tissue analysis. His primary research domains include: Biomedical Engineering Optical Spectroscopy (Diffuse Reflectance) Medical Device Development Surgical Technology Cardiac Signal Processing Tissue Characterization Analysis of his 55+ publications reveals dual expertise: (1) Intraoperative optical sensing (e.g., fiber-optic tissue identification during spine surgery and electrosurgery), and (2) Advanced signal processing for cardiac diagnostics (atrial fibrillation mapping via electrograms/ECG). His work bridges mechanical engineering with clinical practice through real-time surgical workflow analysis and tissue-mimicking phantoms. Hendriks actively supervises research students and has generated 3 significant datasets for tissue characterization. His fingerprint shows dominant activity in spectroscopy (100%), surgery (93%), and tissue analysis (91%), with emerging work in human pose tracking for cardiac catheterization laboratories.

• Aircraft Noise
• Acoustic Modeling
• Aerospace Engineering
• +۵ مورد دیگر

M. Snellen is a full Professor in the Control & Operations department at the Faculty of Aerospace Engineering, Delft University of Technology. With 239 research outputs spanning aircraft noise modeling, drone acoustics, and marine remote sensing, their work bridges aerospace engineering and environmental impact assessment. Research focuses on aircraft noise propagation , drone localization via acoustic arrays , and marine geospatial analysis . Key methodologies include computational aeroacoustics, multibeam sonar data processing, and deep learning for satellite bathymetry. Recent work examines nitrogen deposition from aviation emissions and propeller noise in non-axial inflow conditions. Their publication trends reveal strong emphasis on practical aerospace applications: 45% aircraft engineering, 35% acoustics, and 31% measurement modeling. Current projects integrate drone technology with environmental monitoring, particularly in marine ecosystems and aviation emission impacts. Supervision includes 14 graduate research projects across noise modeling and remote sensing domains. Major datasets managed include aviation emissions databases (openAVEM), North Sea seabed mapping, and tide-surge simulations covering 1980-2020. Active in editorial work for Hydro International since 2007 and organizer of the 2014 workshop 'Aircraft Noise: The major sources, modelling capabilities, and reduction possibilities', with media coverage on UAV airspeed sensors and aviation's global nitrogen deposition impact.

Mirjam Snellenمشاهده پروفایل

استاد

• Acoustic data analysis
• Aeroacoustics
• Aircraft noise measurement
• +۳ مورد دیگر

Mirjam Snellen is Professor of 'Acoustic data analysis and imaging for aviation noise' at the Faculty of Aerospace Engineering, Delft University of Technology (TU Delft), leading research in the Aircraft Noise and Climate Effects (ANCE) section. With 15 years of experience at TU Delft, progressing from Assistant to Associate and now Full Professor, she specializes in acoustic measurement techniques to identify aircraft noise sources. Her academic journey began with a degree in Theoretical Aerodynamics at TU Delft, followed by work at TNO. Snellen's research focuses on using microphone arrays to create 'acoustic pictures' that distinguish between different noise sources on aircraft (engines, flaps, slats, landing gear). This work is conducted in real-world conditions at Schiphol airport, providing valuable data for developing quieter aircraft designs. Her research spans acoustic data analysis, aeroacoustics, and noise reduction technologies. Notable aspects include: Developing custom microphone arrays for field measurements Conducting real-world measurements at Schiphol airport ('living lab') Validating noise models with actual aircraft operations Researching sound shielding effects (e.g., with Fokker 70 aircraft) Exploring porous materials for noise reduction in aircraft and wind turbines Snellen collaborates extensively with the Wind Energy group and teaches in the Operational Optimisation and Acoustic Imaging modules. She views acoustic data analysis as 'a difficult puzzle' that requires careful consideration of factors between signal transmission and reception, experiencing 'euphoria' when understanding acoustic phenomena.

Mireille Boutinمشاهده پروفایل

استاد

• Applied Mathematics
• Signal Processing
• Machine Learning
• +۵ مورد دیگر

Mireille Boutin is a Professor at the Eindhoven University of Technology , affiliated with the Department of Mathematics and Computer Science within the Discrete Algebra and Geometry group. Her research spans applied mathematics, signal processing, and machine learning, with a focus on discrete inverse problems and the integration of geometric tools in probabilistic frameworks. Academic Background : She earned a Ph.D. in Mathematics from the University of Minnesota under Peter Olver, followed by postdoctoral positions at Brown University and the Max Planck Institute for Mathematics in the Sciences . Before joining TU/e, she served on the faculty at Purdue University . Research Trends : Recent publications demonstrate her interdisciplinary approach, including solutions to global positioning uniqueness problems via algebraic geometry, computer-aided qualitative data analysis in education, symmetry-breaking in acoustic path tracking, and novel clustering models for high-dimensional data. Her work often bridges theoretical mathematics with practical applications in engineering and education. Educational Contributions : She actively teaches Computational Algebra at TU/e and has collaborated on studies applying machine learning to qualitative education research, such as analyzing student explanations in programming and faculty teaching conceptions.

• Acoustics
• Noise Measurement
• Microphone Array Technology
• +۵ مورد دیگر

Pieter Sijtsma serves as a Professor in the Department of Operations & Environment within Delft University of Technology's Faculty of Aerospace Engineering. His academic career spans over 15 years of specialized research in aeroacoustics, with significant contributions to microphone array technology and noise measurement methodologies. Current affiliations include active roles in the Berlin Beamforming Conference Committee and ongoing collaborations with major aerospace research entities. Professor Sijtsma's research focuses on advanced acoustic measurement techniques for aerospace applications. His work centers on beamforming algorithms , engine noise characterization , and wave propagation modeling in complex environments like wind tunnels and annular ducts. Key specialties include CLEAN-SC deconvolution methods for noise source mapping, directivity pattern analysis, and experimental validation of acoustic assessment techniques. His fingerprint reveals dominant expertise in acoustics (100%), noise measurement (97%), and microphone array technology (68%). Recent publication trends show concentrated activity in improving acoustic field assessment (2025), engine noise directivity determination (2024), and beamforming in swirling flows (2023). His work consistently addresses practical aerospace noise challenges through rigorous experimental validation and mathematical modeling, with strong emphasis on measurement accuracy and algorithmic innovation. Professor Sijtsma actively supervises research through collaborative projects, typically co-mentoring students with colleagues like Snellen and Avallone. His group maintains strong industry connections, evidenced by committee roles with the Ministry of Infrastructure and Environment and participation in international standard-setting conferences. Current projects involve EU-funded research on wind tunnel acoustic correction methods and engine noise source characterization. The research infrastructure leverages TU Delft's advanced wind tunnel facilities with specialized acoustic treatment and high-channel-count microphone arrays. Recent dataset releases confirm access to sophisticated wave propagation modeling tools and experimental validation platforms for closed-test-section environments.