جست‌وجوی استاد و پژوهشگر

• Nonlinear Dynamics
• Brain Connectivity
• Complex Systems
• +۵ مورد دیگر

Ludovico Minati is a multidisciplinary researcher with appointments as a Specially-Appointed Associate Professor at Tokyo Institute of Technology (Japan) and Visiting Researcher at the University of Trento's Center for Mind/Brain Sciences (CIMeC). He holds concurrent positions as Visiting Professor at the Institute of Nuclear Physics – Polish Academy of Science and serves as a contract lecturer at the Free University of Bolzano. Education: PhD in Neuroscience, Brighton & Sussex Medical School (2012) Dr. Hab. in Physics, Institute of Nuclear Physics – Polish Academy of Science (2017) MSc in Applied Cognitive Neuroscience, University of Westminster (2008) MSc in Medical Physics, The Open University (2009) MSc in Science, The Open University (2006) BSc in Physical Science, The Open University (2009) BSc in Information Technology, The Open University (2004) Research Focus: Minati investigates emergent synchronization phenomena in nonlinear electronic and neural systems, developing bio-inspired electronic circuits to model brain dynamics. His work bridges experimental physics, neural network theory, and robotics, emphasizing chaotic oscillators, brain connectivity analogs, and hardware implementations of neural-like dynamics across multiple scales. Publication Trends: Recent articles (2015-2019) demonstrate consistent focus on nonlinear synchronization phenomena, experimental chaos in electronic circuits, and neural-electronic analogies. Research evolves from fundamental oscillator networks toward applications in robotics control systems and multi-scale brain modeling, with increasing complexity in hardware implementations. Honors & Recognition: Chartered Engineer (CEng), UK Engineering Council Chartered Physicist (CPhys), UK Institute of Physics Chartered Scientist (CSci), UK Science Council IEEE Senior Member Editorial Leadership: Holds editorial positions for Chaos Solitons & Fractals , IEEE Access , Frontiers in Physiology , Entropy , and Complexity , contributing to special issues on nonlinear systems and neural engineering.

Kirstin Hagelskjaer Petersenمشاهده پروفایل

استادیار

• Robotics and Autonomy
• Artificial Intelligence
• Bio-inspired Design
• +۶ مورد دیگر

Kirstin Hagelskjaer Petersen is an Assistant Professor and Aref and Manon Lahham Faculty Fellow at Cornell University's School of Electrical and Computer Engineering , while also serving as Visiting Professor at Germany's Cluster of Excellence IntCDC (University of Stuttgart). She directs Cornell's Collective Embodied Intelligence Lab , pioneering bio-inspired robotics solutions. B.S. in Electro-technical Engineering (Odense University College of Engineering, 2005) M.S. in Computer Systems Engineering (University of Southern Denmark, 2008) Ph.D. in Computer Science (Harvard University, 2014) Her research focuses on collective robotic systems that emulate natural swarms (ants, bees, termites), emphasizing hardware-software co-development , human-swarm interaction , and bio-hybrid collectives . By integrating environmental dynamics into design, her work addresses scalable autonomy, error tolerance, and physical interaction optimization. Publications demonstrate expertise in soft robotics , swarm coordination , and biological-behavior translation across disciplines like entomology and architecture. Her ShadowSense technology (2020) enables touch detection through shadow imaging, reducing sensor complexity while maintaining privacy. Packard Fellowship for Science and Engineering (2019) Elisabeth Schiemann Kolleg Fellow (2016) Science Magazine Top 10 Scientific Achievement (2014) She leads NSF-funded projects on inflatable social robots for emergency guidance, collaborating with entomologists and plant scientists. Her lab develops bio-inspired solutions for digital agriculture and autonomous construction, with applications in emergency response and environmental monitoring.

• Evolutionary Algorithms
• Machine Learning
• Optimization
• +۷ مورد دیگر

Giovanni Iacca is an Associate Professor at the University of Trento's Department of Information Engineering and Computer Science (DISI), where he serves as Coordinator of the Master's Degree in Computer Science and Deputy Director of the Information Engineering and Computer Science Doctoral School. He leads the Distributed Intelligence and Optimization Lab (DIOL) and teaches courses including Computer Architectures, Introduction to Machine Learning, Bio-Inspired Artificial Intelligence, and Optimization Techniques across multiple academic programs. PhD in Computer Science, University of Jyväskylä, Finland (2011) MSc in Computer Engineering, Technical University of Bari, Italy (2006) Professor Iacca's research focuses on the intersection of evolutionary computation, machine learning, and optimization with applications in distributed systems and robotics. His work spans from theoretical foundations of memetic computing and multi-objective optimization to practical implementations in soft robotics, embedded systems, and healthcare applications. Recent efforts emphasize interpretable AI, particularly in reinforcement learning contexts, where his team develops methods to make decision processes transparent while maintaining performance. His research bridges the gap between fundamental algorithmic development and real-world engineering challenges, with over 15 years of industrial experience in optimization applied to engineering, logistics, and scheduling. Analysis of his recent publications reveals a strong trend toward interpretable AI systems, particularly in reinforcement learning contexts, with significant contributions to federated learning optimization, evolutionary neural architecture search, and applications in healthcare scheduling. His work consistently combines evolutionary algorithms with modern machine learning techniques to solve complex optimization problems across diverse domains including soft robotics, batteryless edge computing, and supply chain management. Scientific Awards: EvoApplications Best Paper Award (2017) UKCI AWARENESS Best Paper Award (2012) IEEE CIS Outstanding Student-Paper Award (2011) Professor Iacca actively supervises a large research group with numerous PhD students across multiple doctoral programs, including Information Engineering and Computer Science, Industrial Innovation, and the National PhD in Artificial Intelligence for Society. His lab has secured significant research funding through collaborations with industry partners and international research consortia. Recent grants support work on interpretable reinforcement learning, federated optimization, and applications of evolutionary computation in healthcare and robotics. He has also been appointed to editorial roles for prestigious journals including IEEE Transactions on Evolutionary Computation and Evolutionary Intelligence. The Distributed Intelligence and Optimization Lab (DIOL) under Professor Iacca's leadership comprises over 30 researchers including postdocs, PhD students, and master's students. The lab maintains strong international collaborations and has developed specialized expertise in evolutionary computation, interpretable AI, and optimization for embedded systems. Current projects include work on the EIC Pathfinder Challenge "Awareness Inside," development of methods for batteryless edge intelligence, and applications of evolutionary algorithms to healthcare scheduling problems.

Erik J. Andersonمشاهده پروفایل

استاد

• Aquatic biomimetic robotics
• Undulatory propulsion
• Jet propulsion
• +۸ مورد دیگر

Erik J. Anderson is a Professor of Mechanical Engineering at Grove City College. His research bridges engineering and biology, focusing on aquatic biomimetic robotics, undulatory/jet propulsion, flow sensing, and fluid dynamics. He teaches courses in applied fluid dynamics, biomechanics, mathematical methods, and senior design projects.

• Biomedical Engineering
• Wearable Systems
• Neural Networks
• +۷ مورد دیگر

Paolo Motto Ros is a Researcher specializing in biomedical engineering, wearable systems, and low-power electronics. He has extensive experience in event-driven signal processing , functional electrical stimulation , and biocompatible sensor design , with a focus on human-machine interfaces and implantable devices. His research interests include: Biomedical instrumentation Wireless power/data transmission Surface electromyography (sEMG) Low-complexity embedded systems Plant impedance monitoring Neuroprosthetics Recent publications highlight collaborations with institutions on piezoelectric skin sensors , CMOS neural implant circuits , and plant health monitoring systems . His work spans applications in healthcare, robotics, and environmental technology.

• Organic Electronics
• Bio-inspired Materials
• Neuroelectronic Interfaces
• +۳ مورد دیگر

Valeria Criscuolo is a Researcher in the Neuroelectronic Interfaces department at RWTH Aachen University. She holds a PhD in Chemical Sciences from the University of Naples Federico II, earned in 2017, and has extensive experience in organic electronics and bio-inspired materials. Her career spans roles at the University of Washington, University of California, Santa Cruz, University of Rome Tor Vergata, and the Italian Institute of Technology. Bachelor’s Degree in Chemistry (2006–2010) Master’s Degree in Chemical Sciences (2010–2013) PhD in Chemical Sciences (2014–2017) Her research focuses on bio-inspired organic materials for optoelectronic devices, including OLEDs and wearable epidermal sensors. Recent work explores azobenzene-based semiconductors for neuromorphic platforms and 3D conductive structures for bioelectronic applications. She has contributed to understanding skin bioimpedances and developing light-driven morphing pillars for biointerfacing. Valeria’s publications highlight interdisciplinary trends merging chemistry, neuroscience, and materials science. Topics include melanin-inspired OLEDs, neurohybrid devices, and sustainable organic electronics. Her work bridges fundamental material synthesis with practical applications in wearable sensors and neuromorphic engineering.

Peter Jankůمشاهده پروفایل

استادیار

• Artificial Intelligence
• Swarm Intelligence
• Robotics
• +۳ مورد دیگر

Peter Janků serves as an Assistant Professor at the Department of Informatics and Artificial Intelligence within the Faculty of Applied Informatics at Tomas Bata University in Zlín, Czech Republic, a position he has held since 2019 following his appointment as assistant (2015-2019). Educational background: Ph.D. in Information Technology, Tomas Bata University in Zlín (2011-2019) Ing. (Master's) in Information Technology, Tomas Bata University in Zlín (2009-2011) Bc. (Bachelor's) in Information Technology, Tomas Bata University in Zlín (2006-2009) Research Interests: Dr. Janků specializes in Artificial Intelligence with emphasis on Swarm Intelligence and Robotics, evidenced by international collaborations at premier institutions including IRIDIA (Brussels), SwarmLab (NJIT), and Bristol Robotics Laboratory. His work integrates bio-inspired computing methodologies with multi-agent systems development. Scientific Awards: No awards or fellowships were documented in the provided materials. Advising and Grants: The source text contains no references to graduate students supervised or research funding secured. His academic activities focus on teaching and international research exchanges through Erasmus program engagements. Laboratory Affiliations: Active collaborations include IRIDIA (Université Libre de Bruxelles), SwarmLab at NJIT (USA), Bristol Robotics Laboratory (UK), and Japanese institutions including The University of Tokyo during 2019 research internships.

• Applied Mechanics
• Tribology
• Viscoelasticity
• +۴ مورد دیگر

Giuseppe Carbone is a Full Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, Italy. His research bridges theoretical and experimental mechanics, specializing in tribology, contact mechanics, viscoelastic materials, adhesion phenomena, and biomimetic engineering. He employs advanced numerical simulations and experimental methodologies to address complex mechanical challenges. Primary research domains include: Fundamentals of viscoelastic contact mechanics and friction dynamics Surface engineering for tribological optimization Biomimetic approaches for material and system design Advanced lubrication systems and bearing technologies Analysis of his 15 most recent publications (2024-2025) reveals a consistent focus on viscoelastic material behavior under dynamic contact conditions. Key trends include: Integration of numerical and experimental techniques for contact mechanics Innovations in adhesion/friction modeling for rough surfaces Applications in robotics, automotive systems, and bio-inspired engineering Development of novel computational methods for tribological systems

• liquid crystal optoelectronic devices
• energy-saving smart windows
• biochemical optical sensors
• +۷ مورد دیگر

Professor Dan Luo is a faculty member in the Department of Electronic and Electrical Engineering at Southern University of Science and Technology (SUSTech). He earned his Bachelor's and Master's degrees from Tianjin University in 2004 and 2007, respectively, and completed his Ph.D. at Nanyang Technological University, Singapore in 2012. After working as a Research Fellow at NTU, he joined SUSTech as an Assistant Professor in 2013, was promoted to Associate Professor in 2018, and became a Full Professor in 2024. His educational background includes: Ph.D. in Electronic Engineering (2007-2012), School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore M.E. in Electronics Engineering (2004-2007), School of Precision Instruments & Optoelectronic Engineering, Tianjin University B.E. in Electronics Engineering (2000-2004), School of Precision Instruments & Optoelectronic Engineering, Tianjin University Professor Luo's research focuses on liquid crystal technology and its applications. His work spans liquid crystal optoelectronic devices, energy-saving smart windows, biochemical optical sensors, augmented reality displays, and liquid crystal elastomer actuators. His research has significant implications for display technology, sensor development, and soft robotics, with particular expertise in blue-phase liquid crystals and liquid crystal elastomer materials. His numerous publications demonstrate expertise in liquid crystal photonics, with recent work focusing on blue-phase liquid crystals, liquid crystal elastomer actuators, and augmented reality displays. His research often involves interdisciplinary collaboration, particularly with materials science and optical engineering, and has resulted in over 140 papers with more than 3,900 citations and an H-index of 34. Professor Luo has received several prestigious awards: Otto Lehmann Award, Karlsruhe Polytechnic University, Germany (2011) Chinese Government Award for Outstanding Self-Financed Students Abroad (2011) SPIE Scholarship in Optics and Photonics (2012) IEEE Photonic Society Graduate Student Fellowships (2012) Southern University of Science and Technology Excellent Mentor Award (2016) Southern University of Science and Technology Young Research Award (2017) Southern University of Science and Technology Excellent Teaching Award (2017) Shenzhen Advanced Educator (2018) Talent of Peacock Program B, Shenzhen "Outstanding Youth" project of the Guangdong Basic and Applied Basic Research Foundation (2020) Professor Luo actively mentors students and has secured funding from multiple sources including the National Natural Science Foundation of China. He leads research projects related to liquid crystal technology and has been instrumental in developing SUSTech's capabilities in optoelectronics and photonics. His research group focuses on flexible robots and flexible sensors, with opportunities for postdoctoral researchers and research assistants. Professor Luo's laboratory work centers on liquid crystal technology applications, particularly in smart windows, optical sensors, and soft robotics. His team has made significant contributions to blue-phase liquid crystal research and liquid crystal elastomer actuator development, with applications ranging from energy-efficient building materials to advanced medical sensors.

Rami Haj-Aliمشاهده پروفایل

استاد

• Mechanics of Composite Materials
• Computational Mechanics
• Damage and Fracture Mechanics
• +۶ مورد دیگر

Prof. Rami Haj-Ali , Nathan Cummings Professor of Mechanics at Tel Aviv University , is a leading academic in the School of Mechanical Engineering within the Fleischman Faculty of Engineering . With a career spanning over 25 years, he has pioneered research in multiscale modeling of composite materials , computational biomechanics , and machine learning applications in structural analysis . Education : BSc (Technion), MSc (Tel Aviv University), PhD (University of Illinois at Urbana-Champaign) Prior Affiliation : Georgia Institute of Technology (1997-2010) His research focuses on nonlinear mechanical behavior of composites , damage/fracture mechanics , and biomechanics of cardiovascular systems . He has developed innovative micromechanical models and artificial neural network-based material models that bridge microstructural properties to macro-scale performance. Key scientific contributions include the Parametric High-Fidelity Generalized Method of Cells (PHFGMC) framework and advanced fluid-structure interaction models for aortic valves. His work has attracted funding from NSF , NASA , European Union FP7 , and industry leaders like Edwards Lifesciences and Lockheed Martin . Scientific Awards : Chester P. Siess Award, NSF CAREER, Maof Fellowship, Marie Curie Fellowship, Nathan Cummings Chair Currently advising 5 PhD and 10 MSc students , Prof. Haj-Ali's group develops computational tools for composite materials and patient-specific cardiovascular models . Recent work includes AI-enhanced surrogate models for composite impact analysis and biomimetic soft composites for medical applications.

• Networked Control
• Data-driven Control
• Human-centered Control
• +۷ مورد دیگر

Francesco Bianchin is affiliated with the Chair of Information-oriented Control (ITR) at the Technical University of Munich (TUM). His research focuses on networked control systems, data-driven control, and human-centered control, with applications in hybrid exoskeletons, clinical decision-support systems, motion modeling, human-robot interaction (HRI), bio-inspired design, and cooperative robotics. Research Interests: Networked Control Data-driven Control Human-centered Control Bio-inspired Design Clinical Decision-support

Anneke Schoutenمشاهده پروفایل

پژوهشگر

• Healthcare Technology
• Surgical Workflow Analysis
• Human-Computer Interaction
• +۳ مورد دیگر

Anneke Schouten is a PhD candidate and Researcher at Delft University of Technology's Medical Instruments & Bio-inspired Technology group, focusing on designing healthcare technology that supports entire medical teams rather than solely surgeons. Her educational background includes: Master's degree in Biomedical Engineering Master's degree in Science Communication Anneke films diverse surgical procedures—open surgeries, minimally invasive surgeries, and Da Vinci robot-assisted operations—to analyze technical-medical workflow relationships and interview surgical assistants about their experiences. Her research addresses critical communication gaps between engineers and medical professionals, emphasizing that technological innovations must prioritize the entire surgical team's needs to improve job satisfaction and retention of skilled staff. She advocates for deep cultural immersion over superficial engineering presentations, noting that healthcare workers often implement workarounds rather than report issues due to patient care priorities. Working under health ambassador John van den Dobbelsteen, Anneke complements his operating room automation research by focusing on social dynamics within surgical teams. Her methodology involves anonymized video analysis and trust-based collaboration with surgical assistants who initially feared job displacement, demonstrating how human-centered design principles can overcome implementation barriers in healthcare technology.

• Soft Robotics
• Micro-electromechanical Systems (MEMS)
• Fluidic Actuators
• +۴ مورد دیگر

Benjamin Gorissen is an Assistant Professor (tenure track) in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Science. He is a core member of LIMNI (KU Leuven Institute for Micro- and Nanoscale Integration), contributing to committees including the Council of the Faculty of Engineering Science and programme committees for Biomedical Engineering and Mechanical Engineering. His research focuses on interdisciplinary soft robotics, emphasizing fluidic systems, nonlinear actuators, and biomimetic designs. Key areas include pneumatic artificial muscles, origami-based robotic structures, metamaterials for programmable fluids, and medical simulators. His work integrates materials innovation with control systems to develop autonomous, intelligent soft machines. Gorissen leads multiple projects such as MORPHIS (mammary organoid platforms), origami-topology soft robots, haptic human extenders, and anti-inflammatory drug delivery systems. His publications frequently appear in high-impact journals ( Nature , Science Robotics ), exploring themes like embodied intelligence, fluidic oscillators, and metamaterial programming. He teaches courses in Micro-electromechanical Systems, Engineering Entrepreneurship, and integrated design projects, emphasizing practical innovation.

Dario Floreanoمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Bio-inspired Robotics
• +۴ مورد دیگر

Prof. Dario Floreano serves as Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), directing the Laboratory of Intelligent Systems within the School of Engineering's Institute of Microengineering. He maintains additional teaching appointments in Microengineering, Mechanical Engineering, and the Doctoral School, while serving on EPFL's Committee of Academic Evaluation. His academic credentials include: M.A. in Vision M.S. in Neural Computation PhD in Robotics Research at the convergence of biology and engineering defines Prof. Floreano's work, with pioneering contributions across multiple robotics domains. His laboratory specializes in bio-inspired approaches that transform theoretical concepts into functional systems: Aerial Robotics : Avian-inspired morphing wings/tails for agile drone flight Evolutionary Robotics : Algorithmic co-design of morphology and control Soft Robotics : Transient edible systems and variable-stiffness mechanisms Swarm Intelligence : Emergent control through Hebbian learning Medical Robotics : Fiber-jamming catheters for cardiac procedures Recent publications (2024-2025) reveal three dominant trajectories: (1) biomimetic aerial systems with avian-inspired morphing capabilities for energy-efficient flight, (2) transient edible robotics using biodegradable materials for environmental/medical applications, and (3) advanced variable-stiffness mechanisms enabling new medical interventions. These themes reflect his consistent focus on bio-inspired solutions to engineering challenges. His scientific impact is recognized through prestigious honors: 2000: SNSF Assistant Professorship (Swiss National Science Foundation) 2021: Fellow of the ELLIS Society 2022: IEEE Fellow (Robotics and Automation Society) 2024: Julian Francis Miller Award (The Species International Society) As mentor to 44+ PhD students and founding director of Switzerland's National Center of Competence in Robotics (2010-2022), Prof. Floreano has shaped robotics education through EPFL's Master's program and Swiss Robotics Day. His research leadership generated 15+ spinoffs (including senseFly and Flyability) and secured major grants from Swiss National Science Foundation and European Commission programs. The Laboratory of Intelligent Systems maintains strong industry partnerships while advancing fundamental research in embodied intelligence, with current projects focusing on edible robotics, swarm autonomy, and bio-hybrid systems for medical applications.

Jakub Orłowskiمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Biomedical Engineering
• Control Theory
• +۲ مورد دیگر

Jakub Orłowski is a Research Fellow at the Insight Centre for Data Analytics, specializing in neuroscience and biomedical engineering with a focus on deep brain stimulation for Parkinson's disease. He holds an MSc in Applications of Physics in Biology and Medicine from the University of Warsaw and a PhD in Control Theory from the University of Paris-Saclay. Previously, he worked as a Marie Curie Fellow at University College Dublin (UCD). Current Project: Employing large-scale computational models to analyze deep brain stimulation parameters for Parkinson's disease treatment. Education: MSc (University of Warsaw), PhD (University of Paris-Saclay). Volunteer Work: Organizing Polish scientific and business diaspora networking conferences with Polonium Foundation; developing educational board games with the Canadian NGO Kytos. His research bridges control theory with neuroscience, emphasizing adaptive control strategies to disrupt pathological brain oscillations. He has contributed to the development of closed-loop deep brain stimulation systems, demonstrating expertise in both theoretical and applied aspects of biomedical engineering. Scientific awards include the prestigious Marie Curie Fellowship, underscoring his contributions to interdisciplinary research. His publications span computational modeling, adaptive control systems, and neurodegenerative disease therapy.