Find Academic Supervisors

• Nanomaterials
• Nanostructures
• Biosensors
• +7 more

Dr. Ionut ENCULESCU serves as the General Director of the Laboratory of Functional Nanostructures at the National Institute of Materials Physics (INFIM) in Romania. His research spans nanomaterials, biosensors, and flexible electronics, with numerous publications demonstrating his leadership in the field of functional nanostructures and their applications. His research interests focus on nanomaterials engineering with particular emphasis on electrospun fibers, metal oxide nanostructures, graphene applications, and their integration into functional devices. Dr. ENCULESCU's work bridges fundamental materials science with practical applications in medical diagnostics, wearable sensors, and soft robotics. His laboratory develops innovative approaches to fabricate and characterize nanostructured materials for biosensing, energy conversion, and actuation applications. The publication trends show a consistent focus on electrospun nanofibers and their applications, with recent work emphasizing flexible biosensors for medical diagnostics, artificial muscles for soft robotics, and hybrid nanomaterials for optoelectronic applications. His research demonstrates a progression from fundamental materials synthesis toward increasingly complex functional devices with real-world applications in healthcare and wearable technology. Dr. ENCULESCU leads multiple research projects including biomimetic sensors based on nanowire channel field effect transistors (IDEI project 2017-2019), spin and charge control in nanowire field effect transistors (IDEI project 2013-2016), and high efficiency electrospinning (2012-2015). His work has resulted in numerous publications in high-impact journals covering topics from biosensors to artificial muscles. The laboratory under his direction develops advanced materials for applications ranging from medical diagnostics to soft robotics. Their work on electrospun fiber networks, metal oxide nanostructures, and graphene-based materials has led to innovations in flexible electronics, wearable sensors, and biomimetic actuators. Current research directions include developing self-powered sensing systems , multi-functional biomaterials , and integrated flexible electronic platforms for healthcare applications.

Danielle GriegoView profile

Lecturer

• Building Integrated Solar Photovoltaics
• Building Energy Efficiency
• Participant-Driven Behavior Change via Mobile Apps
• +3 more

Dr. Danielle Griego is a Lecturer at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering and Executive Director of Design++, an interdisciplinary initiative fostering collaboration across 6 departments and over 20 professors. She holds a Ph.D. from ETH Zurich (2020), focusing on building-integrated solar photovoltaics and energy efficiency through participant-driven mobile apps. Her work bridges architecture, engineering, and sustainability, with prior roles including leading Singapore’s EcoCampus program at NTU. Her research emphasizes energy-efficient building design, community solar policy, and smart urban technologies. Education: Ph.D. in Architecture and Building Systems (ETH Zurich, 2020) M.Sc. Civil Engineering (University of Colorado Boulder, 20XX) B.Sc. Architectural Engineering (University of Colorado Boulder, 20XX) Her research interests include sustainable urban energy systems, behavioral change via technology, and the integration of renewable energy into built environments. She leads Design++ to advance interdisciplinary projects with industry partners, addressing real-world challenges in energy efficiency and smart cities. Grants & Advising: No formal advisee list provided, but actively involved in supervising Design++ initiatives and teaching courses related to building energy systems and sustainable design. Labs/Teams: Design++ at ETH Zurich serves as a central hub for cross-disciplinary research and education in design innovation and sustainability.

Muhammad Junaid AnjumView profile

Researcher

• Materials Science
• Corrosion Engineering
• Nanocomposite Materials
• +3 more

Muhammad Junaid Anjum is a Researcher in the Department of Materials, focusing on advanced materials science with a specialization in corrosion protection, nanocomposite coatings, and sustainable surface engineering. His work integrates electrochemistry, nanotechnology, and environmental sustainability to develop innovative solutions for metallic alloy degradation. He holds a Doctor of Philosophy from the Department of Materials. His research interests include layered double hydroxide (LDH) coatings, self-healing materials, graphene oxide-based nanocomposites, and eco-friendly corrosion inhibitors. He explores applications in aerospace, biomedical implants, and infrastructure protection. Anjum’s articles highlight advancements in corrosion-resistant coatings for magnesium alloys (AZ31, AZ91D), steel substrates, and nanocomposite designs. His work emphasizes pH-dependent coating performance, intercalation chemistry, and green materials development. Recent studies (2022-2025) address self-healing mechanisms, smart nanocontainers, and hybrid coatings for enhanced durability. While no awards or grants are explicitly mentioned, his contributions to LDH-based corrosion solutions and smart materials have advanced the field. He collaborates on projects involving surface modification techniques, electroless deposition, and in-situ intercalation methods.

Auke IjspeertView profile

Professor

• Robotics
• Computational Neuroscience
• Machine Learning
• +2 more

Auke Ijspeert is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), leading the Biorobotics Laboratory (BioRob). He earned a B.Sc./M.Sc. in physics from EPFL (1995) and a Ph.D. in artificial intelligence from the University of Edinburgh (1999). After postdoctoral work at IDSIA, EPFL, and the University of Southern California (USC), he returned to EPFL as an SNF assistant professor, becoming associate professor in 2009 and full professor in 2016. He holds primary affiliation with EPFL's Institute of Bioengineering and secondary affiliation with the Institute of Mechanical Engineering. 1995: B.Sc./M.Sc. in Physics, EPFL 1999: Ph.D. in Artificial Intelligence, University of Edinburgh 2002: SNF Assistant Professor, EPFL 2009: Associate Professor, EPFL 2016: Full Professor, EPFL His research explores the intersection between robotics, computational neuroscience, nonlinear dynamical systems, and machine learning. He develops robotic models to study animal locomotion principles and creates bio-inspired adaptive controllers. His work extends to assistive technologies like exoskeletons and smart furniture for mobility assistance. Notable publications include Science 2007 and 2014, and Nature 2019 with Nyakatura et al. He has received numerous awards, including: 2020: IEEE Fellow 2006: SNSF Professorship 1997: Marie Curie Scholarship 2024: IEEE ICRA Most Influential Paper Award 2019: CLAWAR Best Paper Prize 2018: SAB Best Conference Paper Award 2014: IEEE RO-MAN Best Paper Award 2007: IEEE Humanoids Best Paper Award 2002: ICRA Overall Best Paper Award Professor Ijspeert teaches courses in autonomous robotics, computational motor control, and legged robots at EPFL. He supervises numerous PhD students and contributes to editorial boards of leading journals in robotics and neuroscience. His laboratory investigates locomotion principles through robotic models and simulations, bridging biological understanding with technological innovation.

Peter NielsenView profile

Professor

• Artificial Intelligence for Operations Research
• Logistics and Supply Chain Optimization
• Unmanned Aerial Vehicles (UAVs)
• +3 more

Professor Peter Nielsen is a faculty member at Aalborg University's Department of Materials and Production, part of The Faculty of Engineering and Science. He specializes in Artificial Intelligence for Operations Research, focusing on logistics optimization, unmanned aerial vehicles (UAVs), and heuristic algorithms. His work bridges theoretical research and practical applications in industrial automation and sustainable systems. He has led or participated in multiple research projects, including the ORMS project (Operational Reliability Management System) and the ValuePole initiative, which addressed value chain optimization for SMEs. His research emphasizes AI-driven solutions for maritime search and rescue, UAV operations in dynamic environments, and autonomous systems for healthcare logistics. Notable research interests include optimizing routing and scheduling problems, trustworthiness in autonomous vehicle algorithms, and cross-infection risk mitigation in indoor environments. His contributions span over 210 publications, with recent work highlighted in journals like Journal of Intelligent and Robotic Systems and Marine Policy . Peter has advised two PhD students and contributed to academic activities as a peer reviewer for Production & Manufacturing Research . His work often integrates computational fluid dynamics (CFD) and Taguchi methods for optimizing ventilation systems and reducing disease transmission risks.

• Electrical and Electronic Engineering
• Optical Physics
• Communications Technologies
• +3 more

Professor Richard Syms, FREng, is a Professor in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. His research focuses on interdisciplinary fields including metamaterials, medical imaging, MEMS/NEMS, and advanced signal processing. He is affiliated with both the Department of Electrical and Electronic Engineering and the Optical and Semiconductor Devices group. His research interests span a wide range of topics, including optical physics, communications technologies, and medical device development. Notable contributions include innovations in magnetic resonance imaging (MRI), microelectromechanical systems (MEMS), and acoustic filter design. His work often integrates engineering principles with biomedical applications, such as developing catheter-based MRI systems and advanced imaging techniques for cancer diagnostics. Professor Syms has authored numerous publications in high-impact journals, with recent work emphasizing metamaterial-based communication systems, NEMS actuators, and sustainable healthcare technologies. His research has been recognized through prestigious awards, including his fellowship in the Royal Academy of Engineering (FREng). His academic contributions also include advancements in microfabrication techniques, parametric amplification of magneto-inductive waves, and the design of high-performance filters for acoustic and electromagnetic applications. He collaborates widely across disciplines to address challenges in medical imaging, energy-efficient systems, and smart materials.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +5 more

Jian Li is a Professor at Tsinghua University's Institute for Interdisciplinary Information Sciences in Beijing, China. With an extensive publication record spanning multiple disciplines including Artificial Intelligence, Machine Learning, Computer Vision, and Medical Imaging, Dr. Li leads a highly productive research program that bridges theoretical computer science with practical applications across various domains. Dr. Li's research interests focus on developing novel AI methodologies with applications in healthcare, engineering, and scientific computing. Their work demonstrates particular expertise in neural network architectures, image processing techniques, and interdisciplinary approaches that combine domain knowledge with machine learning. The research spans both theoretical foundations and practical implementations, with numerous publications in top-tier journals and conferences. Analysis of recent publications reveals a strong trend toward interdisciplinary research, particularly in medical AI applications, scientific computing, and robotics. Dr. Li's work frequently involves developing novel neural network architectures and optimization techniques that address specific challenges in target domains. The publications show consistent collaboration with researchers across China and internationally, indicating an active research network. Dr. Li has contributed significantly to advancements in knowledge distillation, medical image analysis, fluid dynamics modeling, and reinforcement learning applications. The research demonstrates both theoretical rigor and practical relevance across multiple application domains.

Nathan LazarusView profile

Associate Professor

• Soft Robotics
• Wearable Technology
• 3D Printing of Electronics
• +4 more

Prof. Nathan Lazarus is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Delaware. He holds a B.S.E. in Electrical Engineering from the University of Pennsylvania (2007), and M.S. and Ph.D. degrees in Electrical and Computer Engineering from Carnegie Mellon University (2010 and 2012). Before joining UD's faculty in 2022, he conducted research at the U.S. Army Research Laboratory (ARL), where he pioneered breakthroughs in stretchable wireless power systems and 3D-printed electronics. His research focuses on unconventional materials and manufacturing techniques for wearable electronics, soft robotics, and energy systems. Key innovations include liquid metal-based stretchable inductors, ferrofluid-enhanced magnetic composites, and laser-fabricated 3D electronics. Lazarus has achieved record performance metrics in wireless power transmission efficiency and inductor quality factors. Major Research Themes: Stretchable Electromagnetic Devices, Additive Manufacturing for Electronics, Soft Robotics Actuators Notable Awards: PECASE (2019), ARL Honorary Engineering Award, Federal Career Excellence Award (Gold) Recent work spans self-folding metal origami, acoustic wireless power transfer, and piezoelectric energy harvesting systems. His lab emphasizes cross-disciplinary approaches to integrate materials science, mechanical engineering, and electronics for real-world applications.

Nils RütherView profile

Professor

• Hydraulic Engineering
• Sediment Transport
• Flood Modeling
• +5 more

Overview Prof. Nils Rüther is a Professor of Hydraulic Engineering at the Technical University of Munich (TUM) within the TUM School of Engineering and Design . His research focuses on sediment transport mechanics, hydraulic modeling of rivers and urban flooding, and hydropower infrastructure sustainability. He specializes in integrating advanced numerical methods with geospatial data analysis for environmental engineering applications. Research Interests His work spans experimental hydraulics, CFD modeling, and field observations. Key areas include: Braided river morphodynamics using satellite imagery Sediment transport quantification via ADCP and SfM techniques Flood risk assessment in steep mountain rivers Optimization of hydropower plant designs Climate change impacts on river systems Technical Expertise Rüther employs cutting-edge tools like OpenFOAM, TELEMAC, and machine learning models for predictive hydraulics. His experimental work uses physical scale models and advanced instrumentation (ADCPs, SfM, ultrasound). Awards & Grants While no specific awards are listed, his active participation in EU-funded projects like HYPOS and DIRT-X indicates recognition in the field.

• Biomedical Engineering
• Clinical Sciences
• Ultrasonics
• +6 more

Dr. James J. Choi is an Associate Professor in the Department of Bioengineering at Imperial College London, part of the Faculty of Engineering. He leads the Noninvasive Surgical and Biomedical Technologies (NSBLab) laboratory, focusing on developing noninvasive medical devices for microsurgery and wearable virtual/augmented reality (VR/AR) controllers. His primary research areas include noninvasive focused ultrasound therapies for drug delivery across the blood-brain barrier (BBB), targeting diseases like Alzheimer's, glioblastoma, and diffuse midline glioma. He also pioneers smart wristband technologies for hand tracking in VR/AR environments with haptic feedback. Choi holds a PhD in Biomedical Engineering from Columbia University (2010), an MS from the same institution (2006), and a BSE in Computer Engineering from the University of Michigan (2004). His academic appointments include Assistant Professor at Imperial College London (2013–2018) and Postdoctoral Researcher at the University of Oxford (2010–2013). He is affiliated with the CRUK Convergence Science Centre, Cancer Technology Network, Centre for Advanced Therapeutics, and Centre for Neurotechnology. His research emphasizes five key pillars in noninvasive microsurgery: hardware development, algorithm design, acoustic-tissue physics, biological response analysis, and clinical translation. Current therapeutic targets include BBB-penetrant drug delivery for neurodegenerative and oncological conditions. Wearable technologies explore tactile feedback and motion tracking for immersive technologies. His work bridges engineering and clinical practice through innovative device design and preclinical studies. Awards: 2022 Frederic Lizzi Award, 2011–2012 Frederick V. Hunt Postdoctoral Research Fellowship in Acoustics Labs: NSBLab (www.nsblab.org) Grants & Funding: Not explicitly listed in text; inferred from research scope and affiliations. Choi's publications span over two decades, with recent focus on microbubble dynamics, transcranial ultrasound therapy, and wearable sensor systems. His work often appears in journals like Ultrasound in Medicine and Biology and Small , and he holds multiple patents related to ultrasound-mediated drug delivery and device optimization.

Beat SignerView profile

Professor

• Cross-Media Information Spaces and Architectures (CISA)
• Interactive Paper
• Dynamic Data Physicalisation
• +7 more

Beat Signer is Professor of Computer Science at Vrije Universiteit Brussel (VUB) and Director of the Web & Information System Engineering (WISE) laboratory. His research focuses on cross-media information spaces and architectures (CISA) spanning interactive paper, dynamic data physicalisation, and tangible holograms. His educational background includes a Computer Science degree from ETH Zurich, where he completed his PhD thesis on fundamental concepts for interactive paper and cross-media information spaces in 2005. Key research areas include: Cross-media document formats and resource-selector-link (RSL) hypermedia metamodel Context-sensitive adaptation and cross-media transclusion Multimodal interfaces (Mudra, iGesture) and tangible computing Internet of Things interoperability and semantic middleware Recent publications (2023-2025) reveal strong trends in dynamic data physicalisation hardware, FAIR positioning systems (OpenHPS), end-user IoT development (eSPACE), and next-generation human-information interaction paradigms. His work increasingly integrates Solid protocols for decentralized data and explores thermal dimensions in tangible holograms. As Principal Investigator, he leads multiple EU-funded projects including OpenHPS, TangHo, and eSPACE. His team has developed influential frameworks like MindXpres for cross-media presentations and CMT for context modeling. He supervises 13 doctoral researchers including Dr. Maxim Van de Wynckel and Dr. Audrey Sanctorum, focusing on cross-media applications in education, IoT, and data visualization. His WISE laboratory develops innovative solutions bridging digital and physical information spaces through projects like ArtVis for collaborative data exploration and TangHo for physically augmented virtual objects.

Brian KorgelView profile

Professor

• Nanotechnology
• Nanomaterials Synthesis
• Semiconductor Nanocrystals
• +5 more

Brian Korgel is a Professor and Rashid Engineering Regents Chair in the Department of Chemical Engineering at The University of Texas at Austin. His research focuses on nanotechnology, particularly the synthesis of nanostructured materials and their applications in electronics, photonics, biotechnology, and energy systems. He leads the Korgel Research Group, which explores nanomaterials for next-generation photovoltaics, battery technologies, and biomedical devices. Education: PhD (1997), UCLA; Postdoctoral Fellowship (1997–1998), University College Dublin; B.S. (1991), UCLA. Research interests include colloidal nanocrystal synthesis, supercritical fluid processing, and functional nanomaterials for energy storage (e.g., lithium-ion batteries) and solar cells. His work bridges chemical engineering and materials science, emphasizing scalable manufacturing methods for nanomaterials. Recent projects highlight innovations in silicon nanocrystals for bioimaging, copper indium selenide (CIS) nanocrystal solar cells, and optothermal manipulation of nanoparticles. His lab also develops high-performance thermoelectric materials and low-temperature proton exchange membrane fuel cells. Awards include AAAS Fellow (2012) and the Edith and Peter O’Donnell Award (2009). He directs the Center for a Solar Powered Future, an NSF Industry/University Cooperative Research Center advancing photovoltaic technologies. Industrial collaborations include co-founding Piñon Technologies and Innovalight. Key grants and leadership roles include editing for Chemistry of Materials and serving on the Texas Nanotechnology Scientific Review Board.

Heinrich M. JaegerView profile

Professor

• Soft Condensed Matter
• Granular Materials
• Ultrasonic Levitation
• +3 more

Heinrich M. Jaeger is the Sewell Avery Distinguished Service Professor in the Department of Physics and James Franck Institute at the University of Chicago. His research focuses on soft condensed matter, particularly granular materials and far-from-equilibrium systems. He earned his Ph.D. in physics from the University of Minnesota in 1987, followed by a postdoc at the University of Chicago before joining its faculty in 1991. His work explores jamming phenomena, ultrasonic levitation, and the design of smart materials. Notable achievements include studies on shear jamming in suspensions and granular systems, with applications in robotics and architecture. Education: Ph.D. in Physics, University of Minnesota (1987). Postdoctoral research at University of Chicago and Senior Researcher at Delft Institute for Microelectronics (Netherlands). Research Interests: Granular materials, soft matter physics, jamming transitions, ultrasonic manipulation of particles, and non-Newtonian suspensions. His lab investigates stress-adaptive materials, shear-induced phase transitions, and self-assembly at nanoscales. Key Contributions: Pioneered studies on dynamic shear jamming mechanisms, developed techniques for observing particle interactions via high-speed ultrasound imaging, and advanced understanding of granular matter behavior under extreme conditions.

• Operations Research
• Metaheuristic Analytics Methods
• Supply Chain and Logistics
• +3 more

Dr. Mehrdad Amirghasemi is a Senior Lecturer in Business Analytics at the Faculty of Business and Law, University of Wollongong (UOW). He holds a PhD in Operations Research and specializes in metaheuristic analytics, supply chain logistics, network design, and social media applications. His work has been published in high-impact journals like Annals of Operations Research and Expert Systems with Applications . Education: PhD in Operations Research His research focuses on developing optimization algorithms for real-world challenges, such as urban planning (e.g., ArkiCity mobile app) and disaster recovery through social media analysis. He has secured over A$2M in grants, including projects funded by the Australian Research Council (ARC). Awards include the Global Challenges Travel Prize (2020) and the Shape Your Future Award from Amazon Web Services. He actively contributes to projects like SMART Rail Collaboration and 3D printed surfboard fin innovations. Grants: Over 20 projects, including ARC Linkage Projects and community resilience initiatives Supervision: Current PhD topics on AI in healthcare resource allocation and emotional intelligence in project management Dr. Amirghasemi also teaches advanced analytics courses, such as MBAS913: Prescriptive and Predictive Analytics for Medical Imaging.

• Mechanical Engineering
• Robotics
• Vibration Control
• +3 more

Matthew Christie is an Honorary Fellow and part-time teaching faculty in the Faculty of Engineering and Information Sciences at the University of Wollongong. His research focuses on advanced mechanical systems, particularly the application of magnetorheological (MR) technology in robotics, vibration control, and smart materials. Christie’s work spans robotics actuators, adaptive control systems, and structural dynamics, with notable contributions to magnetorheological fluid-based solutions for challenges in legged locomotion, seat suspension systems, and seismic protection. His publications emphasize innovative applications of MR fluids and elastomers in areas such as semi-active suspensions, haptic interfaces, and energy-efficient power transmission. Christie has collaborated extensively with researchers like Sun S., Deng L., and others, producing impactful work in journals like Machines , Smart Materials and Structures , and Mechanical Systems and Signal Processing . Christie’s research trends demonstrate a strong emphasis on integrating smart materials into mechanical systems for enhanced adaptability and performance, with a particular focus on real-world applications in robotics, transportation, and structural engineering.