جست‌وجوی استاد و پژوهشگر

Aboozar Taherkhaniمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Data Science
• Big Data
• +۱۲ مورد دیگر

Dr. Aboozar Taherkhani is a Senior Lecturer in the School of Computer Science and Informatics at De Montfort University, UK, within the Faculty of Computing, Engineering and Media. His research integrates computer science and neuroscience, focusing on artificial intelligence, deep learning, and spiking neural networks. He is affiliated with the Institute of Artificial Intelligence (IAI) at DMU and has previously served as a full-time Research Fellow at Nottingham Trent University. His research interests include: Artificial Intelligence and Machine Learning Deep and Spiking Neural Networks Multimodal Data Analysis Image and Nonlinear Signal Processing Robotics, IoT, and Natural Language Processing Activity Recognition and Computational Neuroscience The recent publications highlight a strong trend in deep learning applications across domains such as healthcare (breast ultrasound segmentation, bone scaffolds), agriculture (hydroponics), robotics (3D reconstruction, gesture recognition), and privacy-preserving AI. His work emphasizes both theoretical advancements in neural models and practical implementations on edge devices and multimodal systems. Dr. Taherkhani has secured research funding through the Leverhulme Trust Research Project Grant RPG-2016-252 on multimodal data spaces. While no specific awards are listed, his extensive publication record in top journals reflects scholarly impact. He teaches courses such as Intelligent Mobile Robots, Natural Language Processing, Deep Neural Networks, and programming in C++, Python, and C#. He leads a research lab at DMU and supervises graduate students, though specific advisee names are not provided. His lab focuses on AI, robotics, and embedded intelligent systems.

Carsten Behnمشاهده پروفایل

استاد

• Robotics
• Biomechanics
• Control Systems
• +۳ مورد دیگر

Carsten Behn is a Professor at Hochschule Schmalkalden, specializing in Engineering Mathematics within the Faculty of Mechanical Engineering. He holds a habilitation from TU Ilmenau in biologically inspired motion systems and has served as a lecturer at Hochschule Merseburg and TU Ilmenau. Education: Diplom-Mathematiker (2001), Dr.-Ing. (2005), Dr.-Ing. habil. (2013) His research focuses on tactile sensors for surface texture and object contour detection, adaptive control in compliant robotics, and mathematical modeling of biomimetic systems. Publications emphasize sensor dynamics, mechatronic design, and applications of vibrissae-inspired engineering. Recent articles explore tactile sensor signal tuning, flow detection using artificial vibrissae, and adaptive control in snake-like locomotion systems. His work bridges mechanical modeling, control theory, and bioinspired robotics. Behn has served on technical program committees for conferences like ICINCO 2018 and IEEE IRC 2019. He supervises PhD students Moritz Scharff and Lukas Merker in Mechanical Engineering at TU Ilmenau.

• Clinical medical sciences
• Mass spectrometry
• Chromatographic methods
• +۵ مورد دیگر

Per Ola Rønning is an Associate Professor at OsloMet's Faculty of Technology, Art and Design, Department of Mechanical, Electrical and Chemical Engineering. His research spans clinical medical sciences with a focus on mass spectrometry , chromatographic methods , and metabolomics . Affiliation: OsloMet - Storbyuniversitetet Research Fields: Sensor technology, Bioanalysis, Analytical chemistry Research Groups: ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT), Smart Water Engineering Group (SWING) His recent publications demonstrate technical expertise in LC-MS/MS and dried blood spot metabolomics, with applications in autism spectrum disorders, fish welfare monitoring, and antibiotic resistance prevention. Current research interests include optimizing analytical methods for metabolomics and exploring caffeine's physiological effects in athletes. Contact: perola.ronning@oslomet.no

Jens Schirmerمشاهده پروفایل

پژوهشگر

• Precision Engineering
• 3D Printing Technology
• Medical Device Development
• +۳ مورد دیگر

Jens Schirmer is a Researcher at the Institute of Precision Engineering and Electronic Design, Technische Universität Dresden. His work focuses on precision engineering construction, modeling and simulation of mechanical systems, and development of medical device technology. He is actively involved in designing specialized 3D printers and miniature actuators inspired by biological systems. Current research includes modeling watch movement gears Development of innovative 3D printers for silicone prostheses Creation of cooling compression bandages Design of automotive interior control elements His publications emphasize mechanical optimization, FEM simulations, and timing belt drive systems. He teaches courses on construction fundamentals, product development, and actuator technology at TU Dresden. Current projects include: Robust optimization of watch movement gears 3D printer development Silicone prosthesis manufacturing technology Automotive control element design

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۱۰ مورد دیگر

Dr. Tolga Berber is an Assistant Professor at the Faculty of Science, Karadeniz Technical University . With a PhD in Computer Engineering from Dokuz Eylül University, his academic career spans over 20 years, including roles as Deputy Head of Department (2013–2023) and extensive research in Computer Sciences, Artificial Intelligence, and Medical Informatics .

Domenico Napoletaniمشاهده پروفایل

پژوهشگر ارشد

• Quantum Computing
• Artificial Intelligence
• Philosophy of Science
• +۷ مورد دیگر

Domenico Napoletani is a Research Fellow at Chapman University's Schmid College of Science & Technology, specializing in quantum computing, artificial intelligence, and interdisciplinary research. He is also a philosopher of data science, poet, and founder of Germinal Computing LLC, which focuses on solving complex scientific problems using methods inspired by living phenomena. His research integrates natural philosophy, quantum mechanics, and mathematical biology, emphasizing the interconnectedness of systems through concepts like omnia in omnibus fingere and agnostic science . He explores topics such as the theory of isolated objects, phase integral approaches to geometry, and developmental economics analogies. Recent publications highlight his work on quantum foundations, asymptotic analysis, big data philosophy, irrationality in mathematics, cancer evolution, and multiscale biological modeling. Collaborations span physics, philosophy, and biology. He has taught interdisciplinary courses linking science to poetry (e.g., J.W. Goethe) and mathematics to religious experience (e.g., Simone Weil), advocating for a humanism centered on sensorial dissonance and conjectural reasoning.

Diarmuid O'Donoghueمشاهده پروفایل

استادیار

• Computational Creativity
• Analogical Reasoning
• Natural Language Processing
• +۴ مورد دیگر

Diarmuid O'Donoghue is an Assistant Professor in the Faculty of Science & Engineering at Maynooth University, specializing in Computational Creativity and Analogical Reasoning . His research explores topological similarities between text and source code to develop cognitively inspired systems for problem-solving and bias detection. Co-PI of the Modelling implicit bias project (€21/FFP-P/10118) Senior Scientific Coordinator for the €2.6M EU-funded Dr Inventor project Key research areas include: Latent homomorphism detection in lexical data Comparative analysis of LLMs and analogical systems Formal specification generation from code/text His work has shaped undergraduate project frameworks with ethical GenAI integration . Publications span ICCC , GECCO , and journals like Artificial Intelligence Review .

• Geotechnical Engineering
• Geomechanics
• Discrete Element Modeling
• +۳ مورد دیگر

Dr. Ningning Zhang serves as Chair of Geotechnical Engineering and leads the Institute of Geomechanics and Underground Technology (GUT) at RWTH Aachen University. Her research bridges computational mechanics and practical geotechnical applications, with a focus on soil-structure interaction and bio-inspired solutions for underground engineering challenges. Her primary research domains include Geotechnical Engineering , Geomechanics , and advanced Discrete Element Modeling (DEM) . She investigates granular material behavior under complex loading conditions, specializing in bio-inspired penetration mechanics, soil creep phenomena, and particle-scale interactions. Current projects explore self-burrowing robotics for granular media, multi-scale particle shape effects on soil stiffness, and deep-learning applications for geotechnical testing. Her work consistently integrates experimental validation with high-fidelity numerical simulations to address fundamental soil mechanics questions. Dr. Zhang's recent publication trajectory reveals a strategic shift toward bio-inspired geotechnics and AI-enhanced modeling. Over 70% of her 2023-2024 publications focus on self-burrowing systems and granular material characterization, demonstrating expertise in translating biological burrowing strategies into engineered solutions. Her research uniquely combines gravitational effects analysis, crushable soil modeling, and multi-cycle penetration dynamics, establishing new methodologies for simulating complex soil behaviors. As an active mentor, she has supervised five Master's theses on topics including discrete element modeling of bio-inspired penetration processes, manufacturing trials of self-burrowing robots, and numerical analysis of trapdoor mechanisms in granular soils. Her academic leadership extends to international collaborations with institutions like Universidad Técnica Federico Santa María and research groups in India, fostering global innovation in geomechanics. The Institute of Geomechanics and Underground Technology operates state-of-the-art laboratories for soil and rock mechanics testing under Dr. Zhang's direction. The facility specializes in custom equipment development for granular material characterization, including bespoke setups for simulating bio-inspired penetration processes and virtual calibration chambers for cone penetration testing. This experimental infrastructure synergizes with their computational research to provide comprehensive solutions for geotechnical challenges.

Igor Berinskiiمشاهده پروفایل

مدرس ارشد

• Mechanics of media with microstructure
• Cellular materials / Metamaterials
• Nanomechanics / NEMS / MEMS
• +۱ مورد دیگر

Dr. Igor Berinskii is a Senior Lecturer at the Iby and Aladar Fleischman Faculty of Engineering , Tel Aviv University, affiliated with the School of Mechanical Engineering . He leads the Multiscale Mechanics of Solids (MSMS) Lab , focusing on the relationship between microstructure and macroscopic mechanical behavior through analytical and computational methods. His research aims to explain unconventional mechanical properties and predict novel features for engineering applications. 2005 : B.S. (Cum laude) in Applied Mechanics, Peter the Great Polytechnic University 2007 : M.S. (Cum laude) in Applied Mechanics, Peter the Great Polytechnic University 2010 : Ph.D. in Mechanics of Solids, Institute for Problems in Mechanical Engineering, Russian Academy of Sciences His research spans Mechanics of media with microstructure , Cellular materials/Metamaterials , Nanomechanics/NEMS/MEMS , and Micromechanics of fracture . Recent publications highlight work on origami-inspired structures , graphene and MoS2 mechanics , bio-inspired metamaterials , and computational homogenization , with a focus on multiscale modeling and dynamic systems. The MSMS Lab employs HiDRA (Hierarchical Deformable and Rigid Assemblages) for coarse-grained modeling, contributing to advancements in lattice materials and elastic wave propagation.

• Fish Behavior
• Collective Behavior
• Aquaculture
• +۴ مورد دیگر

David Bierbach is a Researcher at the Biology and Ecology of Fishes group within the Faculty of Life Sciences at Humboldt University . His work focuses on collective behavior, animal welfare, and evolutionary ecology in aquatic species. Key Research Areas: Collective decision-making in fish shoals Behavioral plasticity in clonal and sexual fish species Environmental stress responses and adaptations Science of Intelligence Cluster collaborations Methodological Innovations: Use of biomimetic robots in studying social behavior Development of standardized fish husbandry protocols Current Projects: Thermal tolerance in extremophile fish Predator avoidance dynamics in collective systems Behavioral individuality in clonal vertebrates In recent publications (2024-2025), Bierbach's research spans fish social networks, aquaculture standards, and computational modeling of collective behavior. His work emphasizes interdisciplinary approaches combining biology with robotics and data science to advance both ecological understanding and animal welfare practices.

• Collective Behavior
• Animal Swarming
• Computational Modeling
• +۳ مورد دیگر

Prof. Dr. Pawel Romanczuk is a faculty member at Humboldt University's Faculty of Life Sciences, Institute of Biology, where he leads research in complexity science and adaptive systems. His work bridges biological collective behavior with robotics and computational modeling. Research Focus: Collective decision-making, swarming dynamics, animal behavior, and bio-inspired robotics Key Collaborations: Interdisciplinary work with robotics, physics, and ecological modeling His recent publications explore metric-free alignment in active matter, human-swarm interaction , and escape cascades in biological systems. He investigates how network topology influences decision-making and studies vision-based navigation algorithms. Scientific trends include: Understanding phase transitions in animal collective behavior Developing biomimetic robots for experimental studies Modeling social contagion in multi-agent systems

Yang Yangمشاهده پروفایل

دانشیار

• Inverse Problems
• Medical Imaging
• Data Science
• +۴ مورد دیگر

Yang Yang is an Associate Professor in the Department of Computational Mathematics, Science and Engineering at Michigan State University. Their research bridges inverse problem theory with computational innovation for medical and geophysical imaging technologies. Ph.D. in Mathematics (2014), University of Washington B.S. in Mathematics (2009), Zhejiang University Research Focus : Theoretical development of inverse boundary value problems in acoustics, optics, and elasticity using PDE theory, microlocal analysis, and differential geometry Geometric inverse problems for metric and vector field identification in Riemannian/Lorentzian geometries Algorithm design for tomographic reconstruction with applications in Ultrasound Computed Tomography, Photoacoustic Tomography, and Optical Tomography Scientific Contributions : NSF CAREER award recipient (2023) Developed non-iterative boundary control algorithms for acoustic inverse problems Established uniqueness/stability results for transversely isotropic perturbations in elasticity Created mathematically-justified imaging algorithms for media with unknown acoustic properties Publication Trends : Recent work focuses on conscious learning frameworks to address post-selection misconduct in AI, emergent Turing machines for autonomous programming, and ethical implications of deep learning's performance data. These align with their core expertise in inverse problem analysis and computational innovation.

• Internet of Things
• Molecular Communication Networks
• Biologically Inspired Communications
• +۲ مورد دیگر

Dr. Hamdan Awan serves as an Assistant Lecturer in the Department of Computer Science at Munster Technological University (MTU), Cork, Ireland, a position held since January 2022, and is an Associate Investigator at the CONNECT Centre. Previously, he held postdoctoral roles at South East Technological University (SETU), Waterford, and York University, Canada. Education: PhD in Computer Science and Engineering, University of New South Wales, Sydney, Australia Research Interests: His work bridges communication technologies with healthcare applications, focusing on: Internet of Things (IoT) Molecular Communication Networks Biologically Inspired Communications AI-based Communications Healthcare Applications Scientific Awards: Best Paper Award at IEEE/ACM Nanocom 2018 Advising and Service: Mentored 6 PhD and Master's students across institutions. Active in academic service as reviewer for IEEE/ACM venues, TPC co-chair for MolCom Workshop 2022, and current symposium chair for the Molecular, Biological, and Multi-Scale Communication Track at IEEE ICC 2024. Contributed to FET Open Projects Gladiator and Prime exploring molecular communication in health science, affiliated with the Dependable Networks research group.

• Biochemistry
• Biophysics
• Computational Biology
• +۱۱ مورد دیگر

Dr. Christopher Bunick is an Associate Professor at Yale School of Medicine, Department of Dermatology, with a focus on structural biology and translational research. He combines clinical practice with groundbreaking work in atomic resolution dermatology , using x-ray crystallography and cryo-EM to study skin barrier proteins and therapeutic mechanisms. Education: BS in Molecular Biology & Mathematics (Vanderbilt, 2000); MD/PhD (Vanderbilt, 2008) Clinical: General dermatology, surgery, and patient care in Middlebury, CT Research: Skin barrier integrity, keratin structures, acne pathogenesis, and drug development His lab investigates intermediate filament assembly , keratinopathies , and TYK2 inhibitors , funded by NIH/NIAMS and Almirall. 2025 publications span topics from benzene contamination in topical products to space-inspired cancer research. Scientific Awards: Young Investigator Award (AAD, 2017) Career Development Awards (Dermatology Foundation, 2013-2015) Bayer Lindau Fellow (2014) Lab: Hosts medical students, graduate researchers, and postdocs in a collaborative environment.

• Biomechanics
• Biomedical Engineering
• Finite Element Analysis
• +۷ مورد دیگر

Gerrit van Lenthe is a Professor at the Faculty of Engineering Sciences , KU Leuven , specializing in biomechanics within the Department of Mechanical Engineering . He leads the Biomechanics (BMe) department and serves as a contact person for its research activities. Research Focus: Biomechanics, biomedical engineering, finite element analysis, and medical imaging applications for bone and joint diseases. Projects: Promotor for initiatives like INSPIRE (osteoporotic pelvic fractures), KNEE-ADAPT (osteoarthritis modeling), and FIBEr (biomechanical tissue characterization under MDR compliance. Collaborations: Active in the iSi Health institute and POC Biomedical Engineering networks. Technologies: Expertise in photon-counting CT, laser powder bed fusion (LPBF) for implants, and computational modeling of bone-cartilage interfaces. Labs: FIBEr center at KU Leuven focuses on mechanical characterization of biological tissues and biomaterials aligned with EU Medical Device Regulation (MDR).