جستجوی استاد راهنمای دانشگاهی

Virginia Pallanteمشاهده پروفایل

پژوهشگر

• Criminology
• Ethology
• Biology
• +۳ مورد دیگر

Virginia Pallante is a Postdoctoral Researcher at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) since 2020, specializing in ethological analysis of human behavior within criminological contexts. Previously, she served as a Research Fellow at the Center for Mind/Brain Sciences, University of Trento, Italy (2017-2019), bridging biological and social sciences through observational methodologies. Her educational background includes a PhD in Biology from the University of Florence, Italy (2017), with a focus on anthropology, and a Master's in Biology from the University of Parma, Italy (2013). PhD: Biology, Department of Anthropology, University of Florence (2017) MA: Biology, Department of Bioscience, University of Parma (2013) Dr. Pallante's research integrates ethology with criminology to develop innovative observational frameworks for analyzing real-world human interactions. Her work centers on video-based ethological methods to decode conflict dynamics, aggression triggers, and de-escalation patterns in public spaces, police-civilian encounters, and retail environments. She pioneers the adaptation of animal behavior concepts—such as ethograms and signal analysis—to human social contexts, emphasizing ecological validity through covert observation and bodycam footage analysis. This interdisciplinary approach reveals how biological principles inform security practices and social tension resolution. Her publication trends demonstrate a cohesive trajectory from primatology to human conflict analysis, with increasing focus on digital data applications since 2022. Key fields include ethological methodology refinement (35% of works), police-civilian interaction dynamics (25%), digital behavioral analysis (20%), and cross-species communication models (15%). The research consistently applies biological frameworks to criminological problems, with growing emphasis on bias detection in law enforcement and real-time behavioral coding systems. Dr. Pallante actively contributes to scientific communities as a member of the Association for the Study of Animal Behaviour (ASAB) and the Italian Primatological Association (API). Association for the Study of Animal Behaviour (ASAB) Italian Primatological Association (API) She serves as a science communication advisor for MUSE Science Museum in Trento, Italy, translating complex behavioral research for public engagement. Her methodological innovations in video observation support evidence-based policing strategies and conflict management training programs developed in collaboration with Dutch law enforcement agencies.

Maarten van Steenمشاهده پروفایل

استاد

• Distributed Systems
• Artificial Intelligence
• Edge AI
• +۴ مورد دیگر

Maarten van Steen is a Professor active in the fields of Distributed Systems , Artificial Intelligence , and Cybersecurity . With an h-index of 35 and over 5,400 citations, his work focuses on Edge AI , Privacy Preservation , and WiFi-Based Sensing . His research emphasizes non-intrusive authentication, anonymization techniques, and crowd monitoring without compromising individual privacy. Key research areas: Distributed Systems, Privacy Preservation, WiFi Security Recent projects: RoomKey, LocKey, FlowPrint Crowd-monitoring applications: Subway travelers, pedestrian dynamics Van Steen's work combines Machine Learning with Homomorphic Encryption to develop privacy-first solutions. He has contributed to mobile app fingerprinting , WiFi authentication , and blockchain scalability challenges. His 2024–2025 publications reveal trends in contextual security , crowd behavior analysis , and automated threat intelligence . Notable methods include Bloom Filters, automata learning, and WiFi beacon frame analysis. Dutch Cyber Security Best Research Paper Award 2024 Runner-up (shared prize) Van Steen supervises research teams and collaborates on datasets like Code for Threat Intelligence Processing and DeepCASE . His work spans 20+ years , with 208 total research outputs and significant contributions to decentralized systems, network traffic analysis, and urban mobility.

Laura Toniمشاهده پروفایل

دانشیار

• Machine Learning
• Signal Processing
• Immersive Communications
• +۵ مورد دیگر

Laura Toni is an Associate Professor in the Department of Electronic & Electrical Engineering at University College London (UCL). She serves as Director of the MSc in Telecommunications and Internet Engineering and the MRes in Telecommunications. Additionally, she is a Turing Fellow at the Alan Turing Institute and a member of ELLIS (European Lab for Learning and Intelligent Systems). Her research focuses on coding, streaming technologies, machine learning for immersive communications, decision-making under uncertainty, and large-scale signal processing. She leads the LASP (Learning And Signal Processing) group at UCL. Education: MSc (2005) and PhD (2009) from the University of Bologna, followed by postdoctoral research at UC San Diego and EPFL under Professors L. Milstein, P. Cosman, and P. Frossard. Key roles include Technical Program Chair at ACM MM 2022, Keynote Co-Chair at ACM MMSys 2022, and leadership in organizing workshops on graph-based machine learning and emerging technologies in performing arts. She is a Senior IEEE Member and holds editorial roles in IEEE Multimedia Magazine and EURASIP Journal on Signal Processing. Her work bridges communication systems and machine learning, with contributions to adaptive streaming, network optimization, and graph signal processing. She actively promotes diversity and inclusion in technical conferences, including roles as Diversity Chair at MMSys 2021 and PIMRC 2020.

Wim Korevaarمشاهده پروفایل

پژوهشگر

• Optical Satellite Communications
• Quantum Communications
• Signal Processing
• +۲ مورد دیگر

Dr. Wim Korevaar serves as a part-time university researcher at the Signal Processing Systems (SPS) Group of Eindhoven University of Technology (TU/e), while concurrently working as a Senior Telecommunications System Engineer at TNO (Dutch Applied Research Institute) in Delft since April 2019. At TNO, he designs optical and quantum satellite communication systems for ground-to-satellite and satellite-to-satellite links, contributing to standardization efforts at CCSDS and ESA. He earned his PhD, cum laude, from Eindhoven University of Technology for pioneering work on Hermite-based multi-user communication schemes as an alternative to Fourier-based systems. During his doctoral studies, he founded two companies subsequently acquired in 2007 and 2019. Dr. Korevaar's research centers on optical satellite communications, quantum communications, and signal processing for telecommunications, with specific expertise in end-to-end system performance analysis, modem design, and signal processing techniques for space-based systems. His work actively bridges academic research and industrial applications through collaborations between universities, research institutes, and private sector partners. Analysis of his 2022-2024 publications reveals a concentrated focus on advancing space communication technologies, particularly in channel modeling under atmospheric turbulence, latency-constrained fading mitigation, end-to-end performance of coherent optical feeder links, and high-speed channel coding architectures. These contributions target robust high-capacity systems for next-generation satellite networks with dual-use government and commercial applications. He currently participates in the LaiQa project (2024-2026) advancing quantum key distribution space components, and maintains active engagement with students on groundbreaking communication system innovations despite no formal advisee listings.

• Integrated Care Governance
• Health Care Management
• Strategic Innovation
• +۵ مورد دیگر

Prof. dr. Mirella M.N. Minkman serves as the Vilans Chair in Innovation of Organization and Governance of Integrated Care at Tilburg University's TIAS School for Business and Society. Concurrently, she is CEO of Vilans (National Knowledge Organization for care and support), bridging science, practice, policy, and education through national innovation programs. Her leadership extends to Chair of the National Governance Innovation Advisory Committee (BoZ), Chair of the NVTZ Scientific Advisory Board, Supervisory Board roles at RIBW Brabant and Rivierenland Hospital, and membership in the VGN Committee of Experts. Minkman's research pioneers person-oriented integrated care governance within multi-organizational networks, focusing on leadership, accountability systems, and strategic innovation. She examines how governance modes enable collaborative care models while addressing implementation barriers in healthcare transformation. Her work emphasizes change management frameworks for large-scale system integration, with particular attention to supervision mechanisms and value-based accountability structures across care continua. Analysis of her 15 recent publications (2021-2023) reveals consistent exploration of integrated care governance across Dutch and international contexts. Key thematic clusters include leadership in nursing home care, decision-making dilemmas in service networks, and emerging AI applications in long-term care. Methodologically, her work spans systematic reviews, policy analyses, and implementation studies, predominantly published in the International Journal of Integrated Care and specialized healthcare management outlets. Through Vilans, Minkman directs national knowledge platforms and large-scale implementation programs that connect academic research with practical healthcare innovation. Her international engagement includes board membership with the International Foundation for Integrated Care, editorial roles for the International Journal for Integrated Care, advisory positions with WHO's Integrating the Health and Care Workforce group, and participation in the UK Center for Evidence IMPACT's Critical Friends Group.

• Computational Neuroscience
• Neural Networks
• Deep Learning
• +۴ مورد دیگر

Prof. Sander M. Bohte holds a part-time appointment as a Professor of Computational Neuroscience at the Swammerdam Institute for Life Sciences (SILS), University of Amsterdam, and is a researcher at the CWI Machine Learning group. His research focuses on computational models of neural information processing, emphasizing spiking neural networks, predictive coding, and reinforcement learning. He bridges computational neuroscience and machine learning, exploring how biological insights can improve neural network designs and vice versa. Key collaborations include work with Cyriel Pennartz (UvA), Pieter Roelfsema (NIN), and Steven Scholte (B&C). His applied research spans scientific machine learning applications in finance and genomics. He actively supervises MSc thesis students, prioritizing those from UvA, with projects ranging from biologically inspired neural architectures to efficient spiking network simulations. Research highlights include developing biologically plausible learning rules for deep networks, predictive coding models for sensory data, and spiking network models for working memory tasks. His work also addresses challenges in temporal dynamics and scalable neural computation, leveraging both theoretical and applied perspectives.

Marion K. Matters-Kammererمشاهده پروفایل

استاد

• Terahertz Technology
• Millimeter-Wave Systems
• Integrated Circuits Design
• +۳ مورد دیگر

Marion K. Matters-Kammerer is a Full Professor of Electrical Engineering at Eindhoven University of Technology, leading research in terahertz (THz) and millimeter-wave systems. She holds positions in the Center for Wireless Technology, THz Electronics and Integration Lab, and RF Sensing & Communication Lab. Her expertise includes integrated circuits, antenna design, and power amplifier systems. She has led EU projects like 3DmicroTune and ULTRA, and co-authored over 70 journal/conference papers with 13 US patents. Education: MSc in Physics from École Normale Supérieure (Paris) and TU Berlin (1999), PhD in Physics from RWTH Aachen (2007). Past roles include Senior Scientist at Philips Research (1999–2011) and Guest Professor at RWTH Aachen (2009–2010). Research focuses on THz spectroscopy, mm-wave integrated circuits, and energy-efficient wireless systems. Key projects involve THz biosensing, 60 GHz sensor networks, and co-integration of photonics and electronics. Her work addresses UN SDGs like affordable and clean energy, and industry-academia collaboration via NXP Smart Mobility projects. Recent articles highlight advancements in mm-wave power amplifiers, waveguide integration, and radar signal processing. Grants include €2.5M for TeraIBs (2025–2028) and €1.8M for Future Wireless Interfaces (2024–2029). Labs include THz Electronics Lab and RF Sensing Team, advancing sensor and communication technologies.

Maria Pregnolatoمشاهده پروفایل

استادیار

• Infrastructure Resilience
• Flood Risk Management
• Bridge Engineering
• +۵ مورد دیگر

Dr. Maria Pregnolato is an Assistant Professor in the Hydraulic Structures and Flood Risk department within the Civil Engineering and Geosciences faculty at Delft University of Technology. She also holds the position of Honorary Associate Professor at the University of Bristol. Her research focuses on infrastructure resilience and risk management from natural hazards, with particular expertise in flood impacts on transportation networks and structural systems. Dr. Pregnolato earned her PhD in Civil Engineering from Newcastle University in 2017, an MSc in Building Engineering and Architecture from the University of Pavia and Tongji University in 2012, and an MSc in Strategy, Leadership and Change from the University of Bristol in 2022. Her educational background reflects a strong foundation in both technical engineering and strategic leadership. Her research interests span infrastructure resilience, flood risk management, bridge engineering, structural health monitoring, and Digital Twins for civil infrastructure. A significant portion of her work explores the integration of digital technologies with traditional civil engineering practices, particularly in the context of climate change adaptation and natural hazard risk management. She has pioneered approaches to bridge scour management and developed novel frameworks for assessing flood impacts on critical infrastructure networks. Analysis of her recent publications (2019-2025) reveals a clear evolution in her research focus, with increasing emphasis on digital solutions for infrastructure resilience. Her work has expanded from traditional flood risk assessment to incorporate Digital Twins, sensor technologies, and nature-based solutions. The publications demonstrate strong international collaboration, with research spanning multiple continents and addressing both developed and developing world contexts. Dr. Pregnolato has received several prestigious awards recognizing her contributions to the field: EGU Outstanding Early Career Award (2021) EPSRC Fellowship (2018) EPSRC RISE Award (2018) Fellow of the Women in Engineering Society (2019) She actively supervises MSc students and has secured competitive research funding, including an EPSRC Fellowship to investigate extreme flooding impacts on bridges. Her research program integrates hydrodynamic modeling, structural analysis, and digital monitoring technologies to develop comprehensive risk management frameworks for critical infrastructure. Dr. Pregnolato maintains strong international collaborations, with visiting researcher positions at Politecnico di Milano (2022) and the University of Washington (2019), demonstrating her global impact in the field of civil infrastructure resilience.

Evert van Nieuwenburgمشاهده پروفایل

استادیار

• Quantum Physics
• Machine Learning
• Condensed Matter Physics
• +۶ مورد دیگر

Dr. Evert van Nieuwenburg is an Assistant Professor at Leiden University, affiliated with both the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION). His research bridges the fields of Quantum Physics , Machine Learning , and Condensed Matter Physics , with a focus on quantum algorithms, reinforcement learning, and quantum game development (e.g., Quantum TiqTaqToe ). He actively contributes to the Applied Quantum Algorithms (aQa) initiative and leads the QuantumPlayed subgroup for quantum games and education. Research Interests: AI-driven quantum experiment control, quantum machine learning, variational quantum circuits, and quantum games for education and intuition-building. Publications: 15+ peer-reviewed works spanning quantum error correction, phase transitions, reinforcement learning in quantum systems, and quantum dot array simulations. Community Engagement: Developer of educational quantum games, open science advocate, and active participant in interdisciplinary initiatives. Selected Trends: His work demonstrates AI's transformative role in quantum physics, from decoding error-correcting codes with graph neural networks to merging reinforcement learning with quantum control systems. Labs & Initiatives: Affiliated with the Applied Quantum Algorithms (aQa) initiative and co-founder of QuantumPlayed , where quantum mechanics meets game theory to engage diverse audiences.

• Self-regulated Learning
• Learning Analytics
• Online Education
• +۴ مورد دیگر

Dr. Jacqueline Wong is an Assistant Professor in the Department of Education and Pedagogy at the Faculty of Social and Behavioural Sciences, Utrecht University. Her academic work focuses on enhancing educational practices through evidence-based research in self-regulated learning and learning analytics, with particular applications in higher education contexts. Dr. Wong earned her Ph.D. (cum laude) from Erasmus University Rotterdam with a thesis entitled "Enhancing Self-Regulated Learning Through Instructional Supports and Learning Analytics in Online Higher Education," which received the Best Thesis Award 2021 from the Erasmus Graduate School of Social Sciences and the Humanities. She completed her Master's degree (cum laude) in Educational Psychology, where she examined the use of movements to support text comprehension. Prior to joining Utrecht University, she was a postdoctoral researcher at Delft University of Technology (2020-2022) working with the Program of Innovation in Mathematics Education (PRIME). Dr. Wong's research program spans several interconnected areas: the application of learning analytics to support self-regulated learning, the design of instructional interventions that promote metacognitive awareness, and the investigation of how emerging technologies like generative AI can enhance educational experiences. Her work frequently examines how technology can be leveraged to support students' metacognitive processes and goal-setting behaviors in both traditional and online educational settings. She has made significant contributions to understanding how conversational agents and learning analytics can provide personalized support for students' self-regulated learning processes. Analysis of her recent publications reveals a clear trajectory toward integrating emerging technologies with established educational theories. Her 2024-2025 work increasingly focuses on the intersection of artificial intelligence and educational psychology, particularly examining how generative AI tools can enhance academic text accessibility and provide adaptive support for learning. She also continues to investigate cognitive aspects of learning in educational games and augmented reality environments, with implications for both educational practice and learning theory development. Among her notable achievements, Dr. Wong received the Best Thesis Award 2021 from the Erasmus Graduate School of Social Sciences and the Humanities. This recognition highlights the significant contribution her doctoral work has made to the field of educational psychology and learning sciences. Her systematic reviews, including examinations of student engagement in mathematics education and gamification in MOOCs, have provided valuable syntheses of research in growing areas of educational technology. Dr. Wong has been an active research member of the Leiden-Delft-Erasmus Centre for Learning and Education (LDE-CEL) and the network for Self-Regulated Learning in Digitalised Schools (SeReLeDiS). Her collaborative approach to research is evident in her extensive co-authorship network across multiple institutions. Before joining Utrecht University, she worked with lecturers to promote student motivation and self-regulated learning in blended service mathematics courses and examined the effectiveness of technology tools for learning mathematics. Dr. Wong's work bridges theoretical frameworks with practical implementations, often involving close partnerships with educators to ensure research relevance to real-world classroom challenges. Her current research appears to be moving toward deeper integration of AI technologies with educational theory, particularly examining how generative AI can support metacognitive processes and self-regulated learning across diverse educational contexts.

• Optical Transmission Systems
• Space Division Multiplexing
• Quantum Cryptography
• +۵ مورد دیگر

Chigo Okonkwo is Full Professor and Chair of Secured Ultra High Capacity Transmission at the Department of Electrical Engineering , Eindhoven University of Technology. He leads the high-capacity optical transmission laboratory at the Institute for Photonics Integration and contributes to the Center for Quantum Materials and Technology Eindhoven (QT/e) . Academic Qualifications: MSc in Telecommunications and Information Systems, University of Essex (2002) PhD in Optical Signal Processing, University of Essex (2010) Research Interests: Professor Okonkwo focuses on: Maximizing capacity of single-mode fiber systems through advanced-coded modulation and Probabilistic/Geometrically shaped signals Developing Space Division Multiplexing (SDM) systems for Petabit/s transmission using multi-mode/multi-core fibers Quantum secure communications and cryptographic protocol development Optical vector network analyzer (OVNA) technology for SDM fiber characterization Free-space optical link deployment in urban environments Low-complexity digital signal processing algorithms Recent Publications Trends: His 15 most recent articles (2023-2025) demonstrate active research in: Quantum-classical network integration Extreme capacity fiber transmission (Petabit/s systems) Machine learning for optical diagnostics SDM fiber measurement technologies Hybrid QKD-PQC security frameworks Free-space optical urban communication Scientific Awards: Asia Communications and Photonics Conference (ACP) 2018 Best Paper Award European Conference on Optical Communications (ECOC) 2018 Student Paper Award Optica Student Paper Awards (2022) Corning Outstanding Student Paper Competition Finalist (2025) Advisory & Collaborations: Advisor to 8+ researchers including Menno van den Hout, Vincent van Vliet, and Thomas Bradley Technical Program Committee Member, European Conference on Optical Communications (ECOC) since 2014 Sub Committee Chair for Digital Signal Processing track at ECOC 2018 General Chair for OSA Advanced Photonics Congress on Signal Processing for Photonics Collaborates with EU projects (HOMTech, PhotonDelta) and industrial partners Co-founder and Chief Technology Officer of CUbIQ Technologies Laboratory & Infrastructure: Maintains the world-class High Capacity Optical Transmission Lab at TU/e, featuring: Advanced SDM fiber testing equipment Quantum communication research infrastructure Free-space optical link experimental setups Multi-core fiber amplification systems Coherent transmission testbeds Machine learning-enabled diagnostic tools

Alex Alvaradoمشاهده پروفایل

استاد

• Optical Communications
• Wireless Communications
• Information Theory
• +۳ مورد دیگر

Alex Alvarado is a Full Professor in the Signal Processing Systems department at Eindhoven University of Technology (TU/e), leading the Information and Communication Theory Lab (ICT Lab). He is also affiliated with TU/e's Center for Wireless Technology in Eindhoven. His academic career includes roles as a Senior Research Associate at University College London (2014–2016), Marie Curie Intra-European Fellow (2012–2014), and Newton International Fellow (2011–2012) at the University of Cambridge. Alvarado is a Senior Member of the IEEE and has held editorial and committee positions in major conferences like OFC and ECOC. Alvarado holds an Electronics Engineer degree (2003) and MSc (2005) from Universidad Técnica Federico Santa María, Chile, followed by a Licentiate of Engineering (2008) and PhD (2011) from Chalmers University of Technology, Sweden. His research focuses on high-speed secure data transmission in optical and wireless systems, emphasizing energy-efficient algorithms and theoretical limits of telecommunication systems. Key areas include communication theory, information theory, optical fiber systems, and nonlinear interference mitigation. His recent articles explore advanced modulation formats, machine learning applications for channel estimation and decoding, and innovations in free-space optics and MIMO systems. This work contributes to UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and responsible consumption through energy-efficient communication solutions. Scientific Awards: ERC Starting Grant (2018) NWO VIDI Grant (2016) 2015 Journal of Lightwave Technology Best Paper Award 2015 IEEE Exemplary Reviewer Award 2018 and 2023 Asia Communications and Photonics Conference Best Paper Awards 2019 Optoelectronics and Communications Conference Best Paper Award Alvarado's advising contributions include supervising 12 research works. His grants include NWO VIDI and ERC Starting funding. He leads projects like NESTOR (Next-gen optical networks) and LaiQa (Quantum Key Distribution). His lab, the ICT Lab, drives theoretical and applied research in communication systems.

Charlotte Zegveldمشاهده پروفایل

استادیار

• Healthcare Law
• Medical Liability
• Information Governance in Healthcare
• +۳ مورد دیگر

Charlotte Zegveld is an Assistant Professor at Tilburg Law School, affiliated with the Department of Private Business and Labour Law. She is also part of the Academic Collaborative Center for Digital Health & Mental Wellbeing and the 'Connecting Responsible Organizations' initiative. Her research focuses on healthcare law, medical liability, and governance in collaborative healthcare settings. Affiliations: Tilburg Law School, Academic Collaborative Center for Digital Health & Mental Wellbeing External Role: Volunteer at Museum Brouwerij De Roos Research Interests: Healthcare Law, Medical Liability, Information Governance in Healthcare, Tort Law applications in healthcare contexts, and legal standards for healthcare quality. Her work bridges civil law frameworks with contemporary challenges in healthcare collaboration and digital health governance. Recent Articles: Explore themes including legal accountability for medical information failures, liability in healthcare networks, and evolving standards for 'good care' under Dutch law. Her 2024 publications emphasize flexible legal approaches to informed consent and healthcare quality benchmarks. Grants/Projects: Co-investigator in 'AI Deployment Journey in Healthcare' (2024–2028) Principal Investigator for 'Bereikbare arts, ontoegankelijke zorg?' (2025–2027) Contributor to 'Connecting Organizations' (2019–2023) Labs/Teams: Active in multidisciplinary research teams addressing healthcare collaboration risks, AI governance, and legal frameworks for digital health innovations.

Gerwin van der Laanمشاهده پروفایل

استادیار

• Higher Education
• Character Education
• Curriculum Development
• +۵ مورد دیگر

Dr. Gerwin van der Laan is an Assistant Professor at Tilburg University's TiSEM School of Economics and Management, specializing in the Strategy & Entrepreneurship Department. His research focuses on higher education curricula, character development, and corporate governance. He also serves as Academic Director of the BSc International Business Administration program. His interdisciplinary work bridges philosophy (e.g., Montaigne's educational theories) and contemporary educational practice, advocating for student-centered approaches. He has authored/co-authored influential books like Breaking Barriers: Innovation through Collaboration (2023) and edited volumes such as Educational Utopias (2023). He holds adjunct roles including Research Fellow at the Tilburg Center of the Learning Sciences and Senior Policy Advisor at University College Tilburg. His career spans academic leadership, policy development, and teaching across multiple institutions. Key Roles: Assistant Professor (2012–present), Academic Director (Tilburg), Research Fellow (2022–24) Research Themes: Curriculum design, virtue ethics in education, corporate social responsibility Publications: Over 30 peer-reviewed works emphasizing higher education reform, governance, and interdisciplinary collaboration Teaching: Courses on institutional economics, strategy, and organizational theory at undergraduate and graduate levels His recent work explores Montaigne's influence on modern character education, advocating for resilience and well-being in students. Collaborations include projects on academic innovation and policy frameworks for cultural entrepreneurs.

• Soft Robotics
• Mechanical Metamaterials
• Nonlinear Dynamics
• +۳ مورد دیگر

Bas Overvelde is an Associate Professor (part-time) at Eindhoven University of Technology (TU/e) and Group Leader of the Soft Robotic Matter Group at AMOLF, an institute for fundamental physics research in Amsterdam. He holds a PhD in Applied Mathematics from Harvard University and dual MSc/BSc degrees in Mechanical Engineering from Delft University of Technology. His research integrates soft robotics and mechanical metamaterials to develop autonomous systems capable of self-adaptation through shape, nonlinearities, and feedback mechanisms. Education: PhD in Applied Mathematics, Harvard University (2016) MSc Mechanical Engineering (cum laude), TU Delft (2012) BSc Mechanical Engineering (cum laude), TU Delft (2009) Research Interests: Overvelde’s work focuses on embodying intelligence in soft robots and metamaterials via computational/experimental methods. Key areas include nonlinear dynamics , autonomous systems , and bio-inspired design . His group explores programmable materials, fluidic circuits, and retrofit sensing strategies to achieve adaptive behaviors in mechanical systems. Recent Trends in Articles: Recent publications emphasize pneumatic coding , electronics-free fluidic robots , and hybrid control systems . These studies highlight innovations in soft robotics autonomy, sensor integration, and programmable materials for self-sustaining systems. Awards: ERC Starting Grant (2020) for fluidic circuit research in autonomous robotics. Advising & Grants: Supervised 5 academic works (names not listed). Active in TU/e’s Device Integrated Responsive Materials course. Research supported by ERC funding and collaborations in fluidics, metamaterials, and robotics. Labs/Teams: Leads the Soft Robotic Matter Group at AMOLF, focusing on interdisciplinary projects combining physics, engineering, and biology to advance autonomous robotic materials.