جستجوی استاد راهنمای دانشگاهی

Peng Zhou is an Assistant Professor at the School of Advanced Engineering, The Great Bay University , and the Principal Investigator of the Embodied Manipulation Intelligence (EMAIL) Robotics Lab . His research integrates robotics, machine learning, and computer vision, with a strong focus on deformable object manipulation, robot perception, and task-motion planning. Education: Ph.D. in Robotics, The Hong Kong Polytechnic University (Supervised by Dr. David Navarro-Alarcon) Postdoctoral Research Fellow, The University of Hong Kong (Advised by Dr. Pan Jia) Exchange Ph.D. Student, KTH Royal Institute of Technology (Supervised by Prof. Danica Kragic) Research Interests: Dr. Zhou's work spans robotics , machine learning , and computer vision , with specialized expertise in deformable object manipulation , robot perception and learning , and task and motion planning . His lab, EMAIL, pioneers solutions for robotic manipulation of soft and deformable materials. Scientific Awards & Honors: 2024 : Track 3 Champion, Zhuhai International Dexterous Manipulation Challenge 2023 : IEEE R10 Outstanding Volunteer Award 2022 : Outstanding Young Researcher Award, National Engineering Research Center 2022 : Best AI Implementation Award, Hong Kong AI Open Competition 2022 : IEEE MGA Young Professional Achievement Award Editorial & Leadership Roles: Dr. Zhou serves as an Associate Editor for IEEE Robotics and Automation Letters and has organized key workshops like the IROS 2025 Workshop on Contact and Impact-aware Manipulation . He is also a Guest Editor for special issues in Electronics and Frontiers in Robotics and AI .

• Robotics
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Jacob Leachman is a Professor in the School of Mechanical and Materials Engineering at Washington State University (WSU) . He established the HYdrogen Properties for Energy Research (HYPER) laboratory in 2010, the first and only US academic lab focused on cryogenic hydrogen research. With a PhD in Mechanical Engineering (2010, University of Wisconsin-Madison), M.S. in Mechanical Engineering (2007, University of Idaho), and B.S. in Mechanical Engineering (2005, University of Idaho), his work bridges quantum mechanics and macro-scale energy applications. Academic Journey: University of Idaho (BS/MS), University of Wisconsin-Madison (PhD) Lab Leadership: HYPER Lab (2010–present), first cryogenic hydrogen lab in US academia Technical Contributions: NIST hydrogen standards, SAE J2601 fueling protocol, 3D-printed hydrogen tanks Research Interests center on leveraging hydrogen's quantum properties at cryogenic temperatures for energy systems. Key areas include: Cryogenic hydrogen thermophysical modeling and measurement Hydrogen fueling for aerospace and heavy-duty vehicles Para-orthohydrogen conversion for energy storage Leidenfrost dusting technology for space exploration Scientific Awards include: 2023 WSU Technology with an Impactful Contribution to Society Award 2023 R.B. Scott Award (Cryogenic Engineering Conference) 2021 NASA Artemis Award 2018 Roger W. Boom Award (Cryogenics Society of America) 2008 Western Association of Graduate Schools Distinguished Thesis Award Advising and Intellectual Contributions show his commitment to developing engineers through innovative pedagogy and mentoring. His lab has produced three National Science, Technology, Graduate Research Opportunities (NSTGRO) winners and trained students like Konstantin Matveev, Arezoo Zare, and Satyajit Mojumder. He co-authored Thermodynamic Properties of Cryogenic Fluids (Springer, 2017) and is completing Cool Fuel (Oxford, 2024). HYPER Lab Innovations include: Heisenberg Vortex technology for hydrogen dynamics H2-Flo thermal compression refueling station Cryogenic origami bellows for space applications World’s first 3D-printed liquid hydrogen tank

• Cryogenic Hydrogen
• Thermodynamic Properties
• Energy Systems
• +۳ مورد دیگر

Alexis Lussier Desbiens is an Associate Professor at the Université de Sherbrooke in the Department of Mechanical Engineering , Faculty of Engineering. He co-founded several research labs and initiatives including NSERC CREATE CoRoM (Collaborative Robotics in Manufacturing) and NSERC CREATE UTILI (Uninhabited Aircraft Systems Training). His work bridges robotics, mechanical design, and sports equipment innovation. PhD in Mechanical Engineering (Stanford University, 2012) BEng in Mechanical Engineering (Université de Sherbrooke, 2005) Postdoctoral Research (Harvard University, 2013) His research focuses on robotics and automation , particularly unmanned aerial vehicles (UAVs) with bioinspired design principles for mechanical intelligence. Key areas include: Autonomous UAV perching and climbing Hybrid locomotion systems Sports equipment dynamics (skis, hockey sticks) Magnetorheological actuator applications Conservation biology tools via aerial sampling Recent publications highlight interdisciplinary work in robotics , sports engineering , and ecological monitoring . His projects often integrate mechanical design with environmental or human-centric applications. Scientific recognition includes: Best Student Paper (IEEE SMC, 2021) Best Poster (ISEA, 2020) National Geographic Explorer (2020) CSME Gold Medal (2005) Current grants (2020-2023) include: $339,000 - High-performance UAV for power line interactions $1.65M - NSERC CREATE UTILI training program $120,000 - Intelligent hockey stick development He also leads the CREATEK Research Lab and maintains global collaborations with institutions like Harvard University, Stanford University, MIT, and EPFL.

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Mechatronics
• +۷ مورد دیگر

Prof. Dr. Michael Horn-von Hoegen is a full professor in the Faculty of Physics at the University of Duisburg-Essen , Germany. His research focuses on ultrafast structural dynamics , surface physics , and 2D materials , particularly using electron diffraction and plasmonic imaging techniques. He leads the Horn-von Hoegen Group , which plays a central role in the Collaborative Research Center CRC 1242 Non-Equilibrium Dynamics of Condensed Matter in the Time Domain , where his team investigates driven phase transitions and phonon systems with sub-femtosecond temporal resolution. Location: Office Window MF260, Faculty of Physics, Lotharstr. 1-21, 47057 Duisburg Contact: Tel. +49 (203) 379 1439 | Fax +49 (203) 379 1555 His research spans ultrafast electron diffraction of photo-induced phase transitions in atomic wires and topological materials , with recent breakthroughs on Kibble-Zurek dynamics in the Si(001) surface and chiral plasmon polaritons . The group’s 15 most recent publications (2025-2022) address phenomena such as negative thermal expansion in 2D materials , electron-phonon coupling in Pb/Si heterostructures , and quantum pathway analysis in Bismuth films . These works are categorized under disciplines like Condensed Matter Physics , Nanooptics , and Ultrafast Dynamics , with subfields including Ising Model Transitions , Plasmon Focusing , and Time-Resolved Diffraction . Prof. Horn-von Hoegen serves as DFG Liaison Officer for the University of Duisburg-Essen, providing guidance on Deutsche Forschungsgemeinschaft (DFG) proposals . His group has mentored notable researchers including Dr. Simon Sindermann (postdoc at IBM), Dr. Anja Hanisch-Blicharski (Leopoldina Fellow), Dr. Hichem Hattab (Leopoldina Fellowship), and Dr. Marin Petrovic (Humboldt Fellow). The group’s laboratory facilities include advanced ultrafast electron diffraction and photoemission microscopy systems, enabling studies of atomic-scale processes such as molecular dynamics simulations of laser-excited surfaces and domain wall motion in Si(553)-Au systems .

• Surface Physics
• Ultrafast Dynamics
• Electron Diffraction
• +۴ مورد دیگر

Prof. Dr. Hüseyin Yapıcı is a faculty member in the Department of Mechanical Engineering at Başkent University . His research focuses on Nuclear Energy Systems , Accelerator Technology , and Thermodynamics . Nuclear Reactor Design Energy Systems Optimization Heat Transfer Analysis His work involves numerical simulations , neutronic analysis , and nuclear waste transmutation . Recent publications highlight three-dimensional power density modeling in accelerator-driven systems and tritium production studies. Prof. Yapıcı has supervised numerous students, including Gizem Bakır , Alper Buğra Arslan , and Büşra Durmaz , across diverse projects from fusion-fission hybrids to renewable energy systems .

• Nuclear Energy Systems
• Accelerator Technology
• Reactor Technology
• +۳ مورد دیگر

Professor David D. Yao is a Senior Fellow at the Hong Kong Institute for Advanced Study, City University of Hong Kong, and a full Professor of Industrial Engineering and Operations Research at Columbia University , where he has held distinguished chairs since 1988. A member of the US National Academy of Engineering and Fellow of IEEE, INFORMS, and SIAM, his career spans over four decades with groundbreaking contributions to stochastic systems, supply chain optimization, healthcare operations, and financial engineering. Ph.D. (1983), M.A.Sc. (1981) from the University of Toronto Academic appointments: Assistant Professor at Columbia (1983-86), Associate Professor at Harvard (1986-88), Professor at Columbia (1988–present) Research Interests center on stochastic modeling, optimization of complex systems, and risk management , with applications to healthcare logistics, semiconductor manufacturing, internet traffic modeling, and financial networks. He has pioneered theories in polymatroid optimization, dynamic scheduling, and systemic risk analysis. Recent Trends in Publications emphasize financial systemic risk via network models , asymptotic inventory optimization , healthcare resource allocation , and multi-bottleneck stochastic networks , reflecting his interdisciplinary approach. Scientific Awards include the 2024 Presidential Award for Outstanding Teaching, 2015 Markov Lecture, 2015 National Academy of Engineering membership, 2005 INFORMS and IBM Faculty Awards, 2003 SIAM Outstanding Paper Prize, and 1999 Franz Edelman Award. Grant Leadership spans $302,875 NSF-CMMI-1462495 for systemic risk modeling to $20.45M Hong Kong RGC Theme-Based Grant for healthcare systems. His editorial roles and co-founding of Columbia’s Center for Applied Probability and the Financial and Business Analytics Center underscore his institutional impact. Patents cover semiconductor job configuration, warranty inspection systems, and inventory optimization, with 8 US patents. He has supervised over 15 postdoctoral fellows and advised 20+ doctoral students.

• Operations Research
• Applied Probability
• Stochastic Models
• +۵ مورد دیگر

Christopher Rycroft is a Professor and Associate Chair in the Department of Mathematics at the University of Wisconsin–Madison. He leads the Rycroft Group, which focuses on mathematical modeling and scientific computation for interdisciplinary applications in science and engineering. Prior to joining UW-Madison in summer 2022, he was a professor at Harvard University's School of Engineering and Applied Sciences from 2014-2022, and before that a Morrey Assistant Professor at UC Berkeley from 2010-2013. Professor Rycroft's research spans three main areas: numerical methods for material mechanics, data-driven discovery, and computational geometry. His group develops new computational methods while working directly with domain scientists. Key achievements include the development of the reference map technique for fluid-structure interaction, Voro++ software library for Voronoi tessellation, and novel approaches to understanding crumpling physics. His work combines traditional analysis and modeling with machine learning methods to extract scientific insights from complex data. The Rycroft Group's publication record demonstrates a strong trajectory of interdisciplinary research bridging mathematics, physics, materials science, and biology. Recent work has focused on fluid-structure interaction, computational geometry applications, mechanical metamaterials, and biological fluid dynamics. The group develops both theoretical frameworks and practical software tools that have found applications across diverse scientific domains from materials science to virology. Everett Mendelsohn Award for Excellence in Mentorship (2021) Professor Rycroft has advised numerous PhD and master's students who have gone on to postdoctoral positions at institutions including MIT, EPFL, and Cornell. His teaching includes advanced scientific computing courses that have quadrupled in enrollment during his tenure. He has secured research funding supporting his group's work on computational methods and interdisciplinary applications. The Rycroft Group consists of graduate students, postdocs, and collaborators with diverse backgrounds in applied mathematics, physics, engineering, and computer science. The group maintains active collaborations with researchers across multiple institutions and participates in centers such as the Harvard Quantitative Biology Initiative.

• Mathematical Modeling
• Scientific Computation
• Numerical Methods
• +۵ مورد دیگر

Beomjin Kwon is an Assistant Professor at Arizona State University's School for Engineering of Matter, Transport and Energy. His research focuses on transformative advancements in energy conversion and transport systems through fundamental insights into transport physics, additive manufacturing, and data-driven approaches. Education: Ph.D. in Mechanical Engineering, University of Illinois at Urbana-Champaign, 2013 M.S. in Mechanical Engineering, University of Illinois at Urbana-Champaign, 2009 B.S. in Mechanical and Aerospace Engineering, Seoul National University, 2008 Research Trends: His work spans transport phenomena , additive manufacturing , and machine learning applied to energy systems, including thermoelectric generators and heat exchangers. This research bridges physics-based modeling with advanced fabrication techniques. Scientific Awards: Advising and Grants: Information on student advising and grant funding was not explicitly provided in the available text. Labs and Teams: No details about laboratory affiliations or collaborative teams were mentioned.

• Transport phenomena in heat transfer systems
• Additive manufacturing
• Data-driven modeling and design
• +۳ مورد دیگر

Lea Hannola is a researcher at the LUT School of Engineering Sciences (Lappeenranta–Lahti University of Technology LUT) focusing on digital twins, sustainable manufacturing, and Industry 5.0. Her work bridges technological innovation with eco-conscious business practices. Academic Rank: Researcher Contact: Lea.Hannola@lut.fi Hannola's research emphasizes digital twin applications for sustainability, including circular manufacturing, smart energy systems, and human-centric industrial design. She explores competencies required for Industry 5.0 adoption, workforce empowerment through digital tools, and integration of environmental and data-driven strategies in manufacturing. Her publications span topics like smart building management , quantum computing challenges , and supply chain sustainability , with a recurring focus on simulation, interoperability, and lifecycle value creation. Key trends include AI-driven sustainability, green HRM, and digital ecosystems. As a scholar, Hannola contributes to advancing digitally extended product-service systems and addressing sociotechnical challenges in industrial digitalization. Her work impacts manufacturing competitiveness, energy efficiency, and organizational transformation.

• Digital Twins
• Sustainable Manufacturing
• Industry 5.0
• +۳ مورد دیگر

Irina Brass is a Professor of Science, Technology and Regulation at University College London’s Department of Science, Technology, Engineering and Public Policy (STEaPP). Her research focuses on anticipatory and adaptive regulatory frameworks for emerging technologies, particularly IoT, AI, and advanced biotherapeutics. She leads projects like the REG-MEDTECH initiative and collaborates with government agencies, standards bodies, and interdisciplinary teams. Current Role: Professor at UCL STEaPP Leadership: Chair of BSI’s IoT/1 Technical Committee (2017-2021), member of Standards Policy and Strategy Committee (2020–) Her research spans: Regulation of connected medical devices and cybersecurity Governance of AI and algorithmic systems Standardization challenges for IoT and biotherapeutics Adaptive policy frameworks for disruptive technologies She leads the MPA in Digital Technologies and Policy and teaches courses on digital technology dilemmas and risk governance. Her accolades include the BSI Standards-Makers Award (2019) and UCL Provost’s Education Award (2020) .

• Regulation of Emerging Technologies
• Governance of Responsible Innovation
• Cybersecurity
• +۷ مورد دیگر

Laura Dolbow is an Associate Professor of Law at the University of Colorado Boulder, focusing on the intersection of patent law, health law, and administrative law. She holds a J.D. and B.A. from Vanderbilt University, where she won the Founder's Medal, and has held prestigious fellowships including the Sharswood Fellowship at the University of Pennsylvania Carey Law School. Key research areas: Pharmaceutical patent systems, Medicare price negotiation, FDA regulatory frameworks, and constitutional implications of administrative review bars Award-winning scholar: Recipient of the Burton Award for Legal Writing (2018) and Gellhorn-Sargentich Essay Competition (2017) Her recent scholarship analyzes how patent portfolios delay generic drug competition and inflate prices, particularly in the context of the Inflation Reduction Act's Medicare negotiation program. She examines procedural challenges to agency guidance under the Administrative Procedure Act and the constitutional limits of patent takings claims. Prominent publications: Michigan Law Review , Vanderbilt Law Review , Administrative Law Review Major policy contributions: FDA approval of birth control pills, mifepristone access litigation, and sovereign immunity in pharmaceutical patents

• Patent Law
• Health Law
• Administrative Law
• +۲ مورد دیگر

Marat I. Latypov serves as Assistant Professor in the Department of Materials Science and Engineering at the University of Arizona's College of Engineering. He is also a member of the Applied Mathematics Graduate Interdisciplinary Program and leads the Materials Informatics Lab. His research spans computational materials science, sustainable alloy design, and machine learning applications for materials development. Dr. Latypov holds a PhD in Materials Science and Engineering from Pohang University of Science and Technology (POSTECH, South Korea, 2014) and a Dipl.-Ing. in Engineering Physics from Ufa State Aviation Technical University (Russia, 2011). His postdoctoral training included appointments at Georgia Tech/CNRS in France and the University of California, Santa Barbara. His research focuses on materials informatics , physics-informed machine learning , and sustainable structural alloys . Key methodologies include graph neural networks for polycrystal mechanics, vision transformers for microstructure representation, and adaptive experimental design for materials optimization. Recent work emphasizes circular economy applications through construction waste recycling and copper mine tailings valorization. Analysis of his publication record reveals strong emphasis on computational microstructure-property linkages (35% of recent work), machine learning for materials design (30%), and sustainable materials processing (25%), with growing integration of large language models for materials knowledge extraction. NSF CAREER Award (2025) : For damage control in recycled aluminum alloys ISTI Distinguished Faculty Scholar (2024) : At Los Alamos National Laboratory Novelis Hackathon First Prize (2021) : Computer vision application Acta Materialia Outstanding Reviewer (2018) Young Researcher Award (2017) : NanoSPD7 Conference Dr. Latypov advises PhD students including Herbold Fellow Zhuocheng Huang and leads projects funded by NSF and the Grantham Foundation. Current initiatives include chalcopyrite leaching optimization for copper mining and graph neural network development for fatigue prediction. His Materials Informatics Lab maintains collaborations with Los Alamos National Laboratory, MIT, and industry partners including Novelis. The lab operates at the intersection of metallurgy , machine learning , and high-performance computing , with capabilities spanning deep learning, Bayesian inference, and cloud-based computational infrastructure. Recent news highlights participation in CODAS-HEP summer school and publication of vision transformer work in Acta Materialia.

• Materials Science
• Computational Materials Science
• Materials Informatics
• +۴ مورد دیگر

Associate Professor Hu Yunfei is affiliated with the School of New Materials and New Energy at Shenzhen University of Technology , where she leads the New Energy Systems and Smart Microgrids Laboratory . She is a member of the China Renewable Energy Society and Guangdong Solar Energy Association . PhD in Materials Processing Engineering (2005), South China University of Technology Bachelor of Engineering (2000), South China University of Technology Her research focuses on new energy systems , solar-storage direct-flexible systems , and high-efficiency photovoltaic devices , including perovskite solar cells , tandem solar cells , and transparent conductive oxides . Her work spans fundamental materials science and applied energy systems. The 15 most recent publications highlight her expertise in polycrystalline silicon thin films , transparent conductive oxides , perovskite solar cells , and optoelectronic materials . These works reflect trends in improving solar cell efficiency, stability, and manufacturing scalability. She has led projects such as the development of consumer solar power optimizers , optical performance testing for bifacial solar panels , and industrial collaborations on silicon ribbon substrates . Her projects are funded by institutions like the Norwegian Science Foundation and National Natural Science Foundation of China . At Shenzhen University of Technology, she oversees the New Energy Systems and Smart Microgrids Laboratory , integrating advanced materials and system design for renewable energy applications.

• New Energy Systems
• Solar-Storage Direct-Flexible Systems
• Perovskite Solar Cells
• +۶ مورد دیگر

Professor Paul Jackson is a leading political economist and Professor of African Politics at the University of Birmingham, affiliated with the International Development Department within the College of Social Sciences. His work focuses on conflict analysis, post-conflict reconstruction, and governance, particularly in African contexts. PhD Public Policy (University of Birmingham) MSc Information Management (University of Central England) MA Development Studies (University of East Anglia) BA Economics and Politics (University of York) His research interests center on the creation, destruction, and reconstruction of states, with a focus on liberal state-building, security sector reform (SSR), DDR processes, and the interplay between security and development. He has extensive field experience in Sierra Leone, Rwanda, Uganda, Zimbabwe, Iraq, Bhutan, India, China, and Nepal, working with institutions like the World Bank and local civil society organizations. His publications highlight trends in security and development, including books on SSR in Sierra Leone, state-building, and fragile states. Recent works analyze post-conflict justice systems and the role of donor agencies in stabilization. He has contributed to journals like Peacebuilding , Third World Quarterly , and Contemporary Security Policy . Scientific recognition includes being elected Fellow of the Royal Society for the encouragement of the Arts, Manufactures and Commerce (FRSA) based on his academic management role in public policy education. He also serves as an assessor for the University of Birmingham's Certificate in Teaching and Learning. As Programme Leader for the British Academy's Sustainable Development Programme and advisor to the Governance and Social Development Resource Centre, he engages in policy discussions with European governments, the EU, UN, World Bank, and UK Government. He previously led the School of Government and Society (until 2010) and chairs the University's Chaplaincy Committee, integrating student welfare into his roles.

• Conflict Studies
• Post-Conflict Reconstruction
• Governance
• +۳ مورد دیگر

Victor Torres Company is an Assistant Professor at Chalmers University of Technology, leading the Ultrafast Photonics group in the Department of Microtechnology and Nanoscience. His research focuses on photonic integration, nonlinear physics, and laser frequency combs for next-generation fiber optic communication systems. European Research Council Consolidator Grant (2018) VR Consolidator Grant (2020) Marie Curie Fellowship His recent work includes wafer-scale manufacturing of photonic molecule microcombs, ultralow-loss waveguide development, and noise reduction techniques in parametric oscillators. He also co-founded Iloomina AB (2021) to commercialize chip-scale frequency comb technology.

• Photonics
• Nonlinear Optics
• Laser Technology
• +۵ مورد دیگر