جستجوی استاد راهنمای دانشگاهی

Daniel Oropezaمشاهده پروفایل

استادیار

• Additive Manufacturing
• Materials Science
• Aerospace Engineering
• +۷ مورد دیگر

Dr. Daniel Oropeza is an Assistant Professor in the Materials Department at the University of California, Santa Barbara (UCSB), within the College of Engineering. His research focuses on advancing materials and manufacturing technologies for aerospace systems and extreme environments, emphasizing process-microstructure-property relationships. He leads the Materials and Manufacturing for Aerospace and Extremes (MMAX) Lab, which develops novel techniques for powder synthesis, additive manufacturing, and ceramic processing. Education: Ph.D. in Mechanical Engineering (MIT, 2021) M.S. in Aeronautics and Astronautics (Stanford, 2014) B.S. in Aerospace Engineering (UT Austin, 2012) Research Interests: His work spans powder synthesis (e.g., ultrasonic atomization of refractory alloys), additive manufacturing (porous materials, reactive binder jetting), and functional ceramics for applications in hypersonics, space propulsion, and robotics. The MMAX Lab integrates material science, mechanical engineering, and advanced manufacturing testbeds to enable responsive manufacturing solutions. Awards & Grants: LLNL Early Career UC Faculty Initiative Award (2024) Global Young Investigator Award (ACerS, 2025) ONR Grant for Ultrasonic Atomization Research (2024) CNSI Challenge Grant for UC M 2 ADE Consortium (2024) Advising & Labs: He mentors a team of graduate and undergraduate students in the MMAX Lab, focusing on projects like NASA-funded research on refractory metal alloys for space propulsion. The lab collaborates with national labs (e.g., LLNL) and industry partners to bridge fundamental research and applied technologies. Labs/Teams: MMAX Lab develops custom equipment for powder bed fusion, nanoparticle jetting, and reactive binder jetting systems. Current projects include ultra-high temperature ceramics (UHTCs) for extreme environments and multi-material manufacturing for defense and energy applications.

• DNA Nanotechnology
• Molecular Robotics
• Self-Assembling Nanostructures
• +۴ مورد دیگر

Dr. Shelley Wickham is an Associate Professor and ARC DECRA Fellow at the University of Sydney, holding joint appointments in the Schools of Chemistry and Physics. She serves as a Westpac Research Fellow and leads the DNA Nanotechnology Group at the Sydney Nano Institute. Dr. Wickham is also co-Champion of the Sydney Nano Institute Grand Challenge project in Molecular Nanorobotics for Health, co-lead of the School of Physics Grand Challenge on Nanoscale brain navigation for targeted drug delivery, and faculty mentor of the University of Sydney BIOMOD team. Bachelor of Science and Master of Science in Physics from University of Sydney PhD in Condensed Matter Physics from University of Oxford Postdoctoral Fellow at Harvard Medical School, Dana-Farber Cancer Institute, and Wyss Institute Dr. Wickham's research focuses on self-assembling nanotechnology and molecular robotics, particularly in the design and assembly of programmable nanostructures out of DNA. Her work spans applications in cell biology, materials science, and nanomedicine. Current research projects include design and synthesis of self-assembling DNA nanostructures, proto-cells made of DNA gels that move under flow, new plasma fabrication methods for biomolecule micropatterning, and DNA computation circuits for navigating the brain using machine learning. Her research aligns with the Faculty of Science Research Strengths in Molecules to Materials, Preventing and Treating Disease & Disorder, and Next Generation Materials. Analysis of Dr. Wickham's recent publications reveals a consistent focus on DNA nanotechnology with increasing sophistication in structural complexity and biological applications. Her work has evolved from fundamental DNA origami structures to increasingly complex multi-component systems with practical applications in nanomedicine and biomimetic engineering. Recent publications show strong interdisciplinary collaboration across chemistry, physics, biology, and engineering disciplines, with emphasis on real-world applications including drug delivery systems and biomolecular sensors. ARC DECRA Fellow Westpac Research Fellow BIOMOD World Champions (2019) Dr. Wickham actively mentors PhD students and postdoctoral researchers in her DNA nanotechnology group. She has secured significant research funding including ARC Discovery Projects, Westpac Scholarships, and NSW Health grants. Her current grants support projects such as '3D Bio-Nanomaterial Displays with Designer Architectures and Functions' and 'RNA aptamer sensing devices for rapid detection of blood clotting.' Dr. Wickham encourages applications from diverse backgrounds and maintains active collaborations with researchers at Harvard, Oxford, and other international institutions. Dr. Wickham leads the DNA Nanotechnology Group at the University of Sydney, which is part of the Sydney Nano Institute. Her lab focuses on building tools from DNA origami - including tweezers, spanners, wrenches and springs - to better understand biological processes at the nanoscale. The group has achieved notable success with the BIOMOD team winning world championships in 2019, and continues to develop innovative approaches to molecular robotics for healthcare applications.

Damien Woodsمشاهده پروفایل

استاد

• DNA Computing
• Molecular Programming
• Self-Assembly
• +۳ مورد دیگر

Professor Damien Woods is a faculty member at Maynooth University's Faculty of Science & Engineering, specifically affiliated with the Department of Computer Science and the Hamilton Institute. He leads groundbreaking research in DNA computing, molecular programming, and optical computing, focusing on self-assembly, algorithmic design, and computational complexity. ERC Consolidator Grant: 'Computationally Active DNA Nanostructures' SFI ERC Support Award EIC Pathfinder Challenge Grant: 'DISCO - DNA Infrastructure for Storage and Computation' His research projects explore programmable DNA storage, molecular robotics, and robust self-assembly systems. Recent publications span diverse topics like algorithmic DNA tile assembly, thermodynamic stability, and computational universality in nanosystems. Awards include ERC and SFI grants, with a focus on bridging theoretical computer science and experimental molecular biology. Scientific Contributions include: 2022: 'Turning Machines' - Molecular Robotics 2019: 'Diverse Molecular Algorithms' in Nature 2017: 'A Cargo-Sorting DNA Robot' in Science

Sonia Antoranz Conteraمشاهده پروفایل

استاد

• Biological Physics
• Nanotechnology
• Biomechanics
• +۳ مورد دیگر

Sonia Antoranz Contera is a Full Professor of Biological Physics at the University of Oxford and Associate Head of the Physics Department. Her research bridges physics, nanotechnology, and biology, focusing on the interplay of mechanics, chemistry, and electricity in biological systems. She leads projects on neural interfaces, sustainable architecture inspired by biological principles, and nanomedicine. Notable collaborations include work with Amanda Levete Architects on bioinspired materials and the EU-funded ZEBAI initiative for carbon-neutral buildings. Her book Nano Comes to Life (Princeton University Press) explores nanotechnology's impact on biology and medicine. She also engages in public discourse through columns in El Pais and academic lectures on the history of physics and ethics in science. Education: PhD in Physics (Osaka University), with postdoctoral work across global institutions. Research Interests: Biomechanics of growth, AFM of biological systems, neuromorphic computing, and sustainable materials. Funding: John Fell Fund, Moore Foundation, EU Horizon Programme (ZEBAI), UKRI (BuildAir). Her lab's recent work includes AI-driven cement microstructure synthesis, PDMS mechanical aging studies, and anaesthesia mechanisms linked to neuronal viscoelasticity. She advises on policy and innovation, advocating for ethical, equitable scientific progress.

Vikram Iyerمشاهده پروفایل

استادیار

• Robotics
• Ubiquitous Computing
• Sensing & Embedded Systems
• +۷ مورد دیگر

Vikram Iyer is an Assistant Professor at the Paul G. Allen School of Computer Science and Engineering and holds an Adjunct Appointment in Mechanical Engineering at the University of Washington. He co-directs the CS for Environment Initiative , focusing on interdisciplinary solutions that bridge computing, biology, and physical systems for environmental sustainability. Education : Ph.D. in Electrical & Computer Engineering (University of Washington), B.S. in Electrical Engineering and Computer Sciences (UC Berkeley) Research Interests revolve around bio-inspired wireless systems , environmentally sustainable electronics , and miniaturized autonomous robotics . His work includes: Biodegradable circuit boards Battery-free wireless sensors Insect-scale vision systems Wind-dispersed environmental monitors AI tools for sustainable design Article Trends highlight contributions to green hardware , energy-autonomous robotics , and environmental sensing networks , often integrating machine learning with physical world interaction . Awards include: NSF CAREER Award SIGMOBILE Dissertation Award Marconi Society Paul Baran Young Scholar Best Paper Awards (SIGCOMM 2016, Sensys 2018) Google/Amazon Research Awards Students advised include Kyle Johnson (NSF Fellow), Vicente Arroyos (GEM Fellow), and Qiuyue Xue (co-advised with Shwetak Patel). His lab collaborates with the Networks & Mobile Systems Lab and Urban Innovation Initiative .

Cagdas Onalمشاهده پروفایل

دانشیار

• Soft Robotics
• Printable Robotics
• Bio-inspiration
• +۳ مورد دیگر

Cagdas Onal is an Associate Professor of Robotics Engineering at Worcester Polytechnic Institute (WPI). He holds a BS and MS from Sabanci University (2003, 2005) and a PhD in Robotics from Carnegie Mellon University (2009). His research focuses on soft robotics, bio-inspired systems, and control theory , emphasizing the development of flexible robotic components for healthcare, industry, and sustainable applications. He leads the Soft Robotics Lab and the Future of Robots in the Workplace (FORW-RD) initiative, advancing human-centric robotics solutions. Research interests include designing bio-inspired soft robots (e.g., origami-inspired snake robots), developing modular actuation systems with embedded sensors, and exploring applications in medical devices and assistive technology. His work aligns with UN Sustainable Development Goals, particularly in healthcare access (SDG 3), quality education (SDG 4), and innovation (SDG 9). Recent projects include origami-based robotic arms for wheelchair users , self-contained underwater robots, and haptic interfaces for teleoperation. His lab collaborates on国家级 grants like the NSF-funded NRT Program and has secured patents for actuator designs (e.g., Hydro Muscle). Labs/Teams: Soft Robotics Lab, FORW-RD, NRT Program. Notable media coverage includes Worcester Telegram & Gazette and Spectrum News for innovations in human-friendly robotics.

Leonid Ionovمشاهده پروفایل

استاد

• Biofabrication
• 3D Printing
• Stimuli-Responsive Materials
• +۴ مورد دیگر

Prof. Dr. Leonid Ionov is a leading academic at the Faculty of Engineering Science , University of Bayreuth, specializing in Biofabrication and 4D Printing . He has held professorial roles since 2017, with prior positions at the University of Georgia and TU Dresden. Research Priorities: Smart responsive polymers, 3D/4D bioprinting, self-healing electronics, and bioinspired surface engineering. Teaching: Offers advanced courses in 3D Printing of Polymers , Biofabrication , and Polymer Science . His work integrates stimuli-responsive materials with additive manufacturing to create bioinspired actuators, vascular scaffolds, and self-healing conductive systems. Recent articles focus on 4D-printed vascular junctions , multi-responsive cellulose composites , and dynamic bilayer morphing . Scientific Achievements Recipient of the 2022 North Bavaria Business Plan Competition award 2012 Georg Manecke Prize for biopolymer research Developed European patents for Li-S battery cathodes and microfluidic devices Trained over 20 PhD/postdoc alumni now at institutions like Iowa State University and Harvard Medical School . Leads a multidisciplinary lab with advanced equipment for polymer synthesis, electrospinning, and cell culture studies.

Erik Demaineمشاهده پروفایل

استاد

• Algorithms
• Computational Geometry
• Complexity Theory
• +۵ مورد دیگر

Erik Demaine is a Professor in the Department of Electrical Engineering and Computer Science at MIT, affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL), the Theory of Computation group, and the Algorithms Group. His research spans algorithms, computational geometry, folding, robotics, complexity theory, and interdisciplinary connections between mathematics and art. He received the MacArthur Fellowship ("genius grant") for his work on folding and computation. Demaine's work includes co-authoring books such as Geometric Folding Algorithms and Games, Puzzles, and Computation . His art collaborations with his father Martin Demaine, including curved-crease sculptures, are in the permanent collections of the Museum of Modern Art (MoMA) and the Renwick Gallery. He is also involved in software projects like Coauthor and Cocreate, supporting collaborative research and education. His research interests include folding and unfolding of geometric structures, computational complexity of games, protein folding, and algorithm design. He has contributed to areas like data structures, robotics, and network computing, with a focus on bridging theoretical computer science and tangible applications. Demaine holds patents and has been recognized with numerous awards, including the NSERC Doctoral Prize and the Gödel Prize. His work often involves supercollaboration, emphasizing open problem-solving and interdisciplinary approaches.

Woo Soo Kimمشاهده پروفایل

استاد

• Advanced 3D Printing
• Agritech
• Bio-medical Devices
• +۳ مورد دیگر

Woo Soo Kim is a Professor and Associate Director in the School of Mechatronic Systems Engineering at Simon Fraser University. As a Graduate Student Supervisor, he leads the SFU Additive Manufacturing Laboratory, focusing on advanced 3D printing, sensing robotics, and agritech applications. His research integrates additive manufacturing with smart systems for healthcare, agriculture, and IoT. Education: Ph.D. in Materials Engineering (KAIST, 2006), Postdoc at MIT (2009) Research Themes: 3D printed devices, bio-medical sensors, AI-driven robotics, and sustainable manufacturing His work emphasizes practical applications, such as wireless pressure sensors for helmets, AI-based crop monitoring, and portable health diagnostics. The lab collaborates on projects like the Agritech 4.0 Bootcamp and develops 3D printed neuromorphic systems. Kim’s publications span advanced materials, sensor integration, and robotics, with a focus on solving real-world challenges through additive manufacturing. He supervises graduate students in mechatronic design and teaches courses like MSE220 (Engineering Materials) and MSE812 (Advanced 3D Printing). The lab’s innovations include 3D printed disposable sensors, smart robotic grippers, and flexible electronics. His research bridges academia and industry, addressing sustainability and technological advancement in multiple sectors.

Xin Ningمشاهده پروفایل

استادیار

• Soft electronics for aerospace engineering
• Bio-inspired aerospace structures
• In-space manufacturing and assembly
• +۱ مورد دیگر

Xin Ning is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC), where he also holds appointments in the Materials Research Laboratory. Previously, he served as an Assistant Professor at Pennsylvania State University from 2018 to 2023. His academic journey includes postdoctoral research at UIUC and California Institute of Technology (Caltech). Educated at Caltech, he earned a Ph.D. in Aeronautics in 2015 and an M.S. in Aeronautics in 2010. His research focuses on soft electronics for aerospace engineering , bio-inspired aerospace structures , in-space manufacturing and assembly , and multifunctional space structures . These interests drive innovations in lightweight, adaptive, and multifunctional materials and systems for aerospace applications. For instance, his work explores bio-inspired cellular materials for aircraft wings and bistable composite booms for deployable structures. He has been recognized with several honors, including the 2022 Young Investigator Award from the Office of Naval Research, 2019 Haythornthwaite Foundation Research Initiation Award, 2015 William F. Ballhaus Prize from Caltech, and the 2012 Dow-Resnick Fellowship. In addition to research, Professor Ning teaches courses such as AE 323: Applied Aerospace Structures and AE 498: Space Structures . While specific grants are not detailed here, his work has been supported through awards like the ONR Young Investigator grant. He collaborates with the Materials Research Laboratory at UIUC and engages in interdisciplinary projects involving soft electronics and bio-inspired engineering.

• Soft Robotics
• Microfluidics
• Nanofabrication
• +۳ مورد دیگر

Ramses Martinez is an Assistant Professor in the Department of Industrial Engineering and Biomedical Engineering at Purdue University . He holds a B.A. in Applied Physics from Universidad Autonoma de Madrid (2004) and a Ph.D. in Physics and Materials Science from the Spanish National Research Council (CSIC) in 2009. Prior to joining Purdue, he conducted postdoctoral research in the lab of Prof. George M. Whitesides at Harvard University, focusing on nanofabrication, microfluidics, and soft robotics. Education B.A. in Applied Physics, Universidad Autonoma de Madrid (2004) Ph.D. in Physics and Materials Science, Spanish National Research Council (CSIC) (2009) His research bridges soft robotics , flexible electronics , and nanofabrication , with a focus on creating self-powered e-textiles , omniphobic paper-based devices , and programmable mechanical metamaterials . His work has led to over 25 publications and 9 patents, emphasizing practical applications in health monitoring and industrial automation . Notable projects include waterproof electronic decals for biofluid monitoring, smart bandages for chronic wound detection, and laser nanoforming methods for scalable metallic structures. His research has been recognized through the Fulbright Fellowship and the Marie Curie IOF Grant .

• Dynamics, Vibration and Vibration Control
• Machine Condition Monitoring and Mechanical Engineering Asset Management
• Renewable Energy and Sustainability
• +۱۰ مورد دیگر

Professor JC Ji is a distinguished academic at the School of Mechanical and Mechatronic Engineering at the University of Technology Sydney (UTS), where he was promoted to Professor on January 3, 2025, after serving as an Associate Professor since January 1, 2016. He serves as the Theme Research Director at the Centre for Audio, Acoustics and Vibration (CAAV) at UTS and is an active member of the Faculty of Engineering and Information Technology. Professor Ji holds a PhD in Mechanical Engineering from Australia and a Graduate Certificate from UTS, along with CPEng NER certification from Engineers Australia since 2018. Professor Ji's research spans multiple interdisciplinary areas with significant practical applications. His primary research interests include Dynamics, Vibration and Vibration Control (focusing on wind turbine dynamics, rotor-bearing systems, and vibration isolation); Machine Condition Monitoring and Asset Management (specializing in fault diagnostics, prognostics, and digital twin-based modeling); Renewable Energy and Sustainability (particularly in vibration-based energy harvesting and battery circular economy); Mechanical and Vehicle Systems; Robotic and Multi-Agent Systems; and Ecological Systems. His work demonstrates a strong integration of theoretical foundations with practical engineering solutions for real-world problems. Analysis of Professor Ji's recent publications reveals a clear research trajectory focused on advanced vibration control systems, condition monitoring techniques, and digital twin applications. His work increasingly integrates machine learning with traditional mechanical engineering approaches, particularly in bearing and gear health management. A significant portion of his recent research focuses on quasi-zero stiffness vibration isolators using innovative structural designs including origami-inspired mechanisms. His publications show strong international impact with numerous high-citation articles in top mechanical engineering journals. Stanford University's World's Top 2% Scientists List for both career-long impact and single-calendar year impact in 2023 and 2024 CPEng NER Chartered Engineers certification from Engineers Australia (2018-present) Professor Ji actively supervises research students and has secured substantial funding for his work, including multiple ARC Discovery and Linkage Projects. He serves as an Associate Editor for Mechanical Systems and Signal Processing (Q1 journal), Journal of Vibration and Control (Q2 journal), and International Journal of Bifurcation and Chaos (Q2 journal). He is also an active assessor for ARC grant applications since 2007 and for international funding bodies including Hong Kong RGC, Belgium FNRS, and New Zealand MBIE. His industry collaborations include projects with Zip Heaters, Alstom Transport, and Coal Services Health and Safety Trust. As Theme Research Director at the Centre for Audio, Acoustics and Vibration (CAAV) at UTS, Professor Ji leads a research team focused on advancing vibration control technologies and their applications. His laboratory work includes developing innovative vibration isolators, condition monitoring systems for industrial machinery, and energy harvesting technologies. The research group maintains strong connections with industry partners to ensure practical implementation of their theoretical advancements.

• Natural Language Processing
• Large Language Models
• Soft Robotics
• +۴ مورد دیگر

Peiyi Wang is an Assistant Professor at Peking University's School of Electronics Engineering and Computer Science, Institute for Artificial Intelligence. With strong research output spanning both natural language processing and robotics, Wang maintains significant collaborations with Southern University of Science and Technology and National University of Singapore, particularly in soft robotics research with Professor Cecilia Laschi. Additionally, Wang is actively involved with DeepSeek-AI, contributing to several major language model initiatives including DeepSeek-R1 and DeepSeek-V2. Peking University, School of EECS, Institute for Artificial Intelligence (Primary) Southern University of Science and Technology (Collaborative) National University of Singapore (Collaborative) DeepSeek-AI Research Organization Dr. Wang's research spans two primary domains with significant intersection points. In natural language processing, Wang focuses on large language model reasoning capabilities, mathematical verification, uncertainty estimation, and preference alignment. The robotics work centers on soft robotics, particularly origami-inspired designs, strain-based modeling, and control systems for continuum manipulators. These domains converge in Wang's work on vision-language models, embodied AI, and multimodal reasoning systems. Recent work demonstrates particular innovation in mathematical reasoning verification (Math-Shepherd), soft robotic control systems, and red teaming frameworks for language model safety. Wang's publication record shows remarkable productivity, with over 40 publications between 2021-2025 across top-tier venues including ACL, EMNLP, CVPR, and IEEE Transactions on Robotics. The work demonstrates consistent progression from foundational NLP tasks to increasingly sophisticated multimodal and reasoning systems. The most recent publications (2024-2025) show particular emphasis on mathematical reasoning verification, soft robotics control, and language model safety evaluation. While specific awards aren't documented in the provided materials, Wang's work has clearly gained significant recognition through acceptance at top-tier conferences and collaborations with leading researchers in both NLP and robotics fields. Wang's research demonstrates strong interdisciplinary connections, bridging theoretical NLP work with practical robotics applications. The work with DeepSeek-AI suggests active industry collaboration while maintaining strong academic research output. Current research directions appear focused on improving language model reasoning reliability while developing novel soft robotic systems that can interact safely and effectively with complex environments.

• Optimal Control
• Aerospace Engineering
• Robotics
• +۳ مورد دیگر

Ran Dai is a Professor in the Department of Aeronautics and Astronautics at Purdue University's College of Engineering. His research focuses on optimal control theory, trajectory optimization, and robotics applications, with an emphasis on aerospace systems and energy-efficient solutions. He leads the Autonomous Optimization Lab (AOL) and has contributed extensively to advancements in learning-based control, mixed-integer programming, and deployable space systems. His work spans applications such as spacecraft guidance, unmanned vehicle path planning, and energy management for solar-powered systems. Notable contributions include algorithms for fuel-optimal powered descent, real-time trajectory optimization, and origami-inspired deployable mechanisms. He holds a Ph.D. in Aerospace Engineering and has published over 100 peer-reviewed articles. Research interests include: Optimal control and trajectory optimization Reinforcement learning for decision-making Autonomous systems and robotics Energy-efficient aerospace engineering Recent work emphasizes meta-reinforcement learning frameworks and adaptive optimization engines for complex systems.

Sebastian Schlückerمشاهده پروفایل

استاد

• Surface-Enhanced Raman Spectroscopy (SERS)
• Plasmonics
• Nanophotonics
• +۱۲ مورد دیگر

Prof. Dr. Sebastian Schlücker is a full professor in the Department of Physical Chemistry at the University of Duisburg-Essen , where he leads the Molecular Biophotonics and Nanodiagnostics research group within the Faculty of Chemistry. He is actively engaged in research, teaching, and academic leadership, with a strong focus on advanced spectroscopic techniques for biomedical and analytical applications. His research interests lie at the intersection of nanophotonics, plasmonics, and bioanalytical chemistry . Key areas include surface-enhanced Raman spectroscopy (SERS) , single-particle spectroscopy , laser diagnostics , and the design of functionalized metal colloids for biosensing and tumor diagnostics. He emphasizes a theory-guided approach combining simulation and experiment to tailor nanoparticle properties. His recent publications (2023–2025) reflect a strong trend toward quantitative, label-free molecular diagnostics , point-of-care testing , and in situ monitoring of catalytic and biological processes . The work spans fundamental plasmonics to clinical applications, particularly in cancer detection and immunoassays using SERS nanotags. International Raman Innovation Prize He mentors students and researchers, supervises theses, and collaborates widely across disciplines. His group develops advanced instrumentation, including portable SERS readers , fs-laser laboratories , and automated nanoparticle synthesis systems (e.g., BONAPARTE robot). He teaches master’s courses such as NanoBioPhotonics and Optical Spectroscopy , and is involved in STEM outreach.