جستجوی استاد راهنمای دانشگاهی

Dr. Vikas Srivastava is an Associate Professor of Engineering and Director of the Graduate Program in Biomedical Engineering at Brown University's School of Engineering. His research focuses on solid mechanics, continuum biomechanics, and cell mechanics, with applications in materials under extreme environments and biomedical science. He leads the Srivastava Lab for Solid Mechanics and Biomechanics, which integrates computational models with experimental techniques to address interdisciplinary challenges. Dr. Srivastava holds a Ph.D. in Mechanical Engineering from MIT (2010) and previously held senior roles at ExxonMobil, including leadership in materials mechanics and deepwater drilling engineering. His academic career at Brown began in 2018, during which he has directed over 15 graduate students and secured notable funding. His research interests span mechanobiology, hydrogel-based drug delivery systems, AI-driven predictive modeling, and biomaterial innovations for cancer therapies. He has pioneered physics-informed neural networks for material characterization and developed novel hydrogels to enhance chemotherapy efficacy. Recent articles highlight advancements in polymer fracture modeling, machine learning for non-destructive evaluation, and predictive epidemiological modeling for pandemics. Dr. Srivastava has received the Dean’s Award in Bioengineering and was promoted to tenured Associate Professor in 2023. He actively mentors students through grants like the NSF Graduate Research Fellowship and leads initiatives in biomedical technology translation. The Srivastava Lab collaborates extensively across engineering, biology, and medicine to advance translational research in materials science and clinical applications.

• Solid Mechanics
• Continuum Biomechanics
• Cell Mechanics
• +۷ مورد دیگر

Michael Levin is a Vannevar Bush Professor and Distinguished Professor at Tufts University, affiliated with the School of Arts and Sciences (Department of Biology) and School of Engineering (Biomedical Engineering). His research focuses on bioelectricity, developmental biology, and collective intelligence. He leads the Allen Discovery Center and the Tufts Center for Developmental and Regenerative Biology. Education: PhD in Genetics from Harvard Medical School (1996); BS in Computer Science and Biology from Tufts University (1992). Research Interests: Integrates developmental biology, computer science, and cognitive science to study morphogenesis, regeneration, and cancer. Explores bioelectric signaling, synthetic organisms, and AI-driven discovery. Key areas include regenerative medicine, cancer reprogramming, and collective intelligence in biological systems. Publications: Over 600 articles, with recent work on xenobots, neuroevolution, and bioelectric therapies. Themes include bioelectric control of form, AI in biology, and collective intelligence. Awards: INNS Donald O. Hebb Award, AAAS Fellow, and Vox Future Perfect 50 List recognition. Frequently invited to speak at conferences on biology, AI, and consciousness. Advising & Labs: Mentored numerous postdocs and students, including pioneers in bioelectricity and synthetic biology. Lab focuses on interdisciplinary approaches to biological pattern formation and regeneration.

• Bioelectricity
• Regenerative Medicine
• Cancer Biology
• +۵ مورد دیگر

Jessica Rosenholm is a Professor at the Faculty of Science and Engineering, Department of Pharmacy at Åbo Akademi University. Her research focuses on drug delivery systems, nanomedicine, and biomaterials engineering. She holds a D.Sc.(Tech.) and has authored over 200 publications. Key research areas include mesoporous silica nanoparticles, 3D bioprinting, and antimicrobial resistance solutions. Her work contributes to UN Sustainable Development Goals, particularly in advancing health technologies. Notable achievements include the Akzo Nobel Nordic Research Prize 2009 and the Knight, First Class, of the Order of the White Rose of Finland (2022). She leads projects like the MADNESS Centre of Excellence, exploring materials-driven solutions against antimicrobial resistance. Education: Doctor of Science (Technology) Research Interests: Nanoformulations, biomedical imaging, microfluidics, and tissue engineering. Recent articles highlight innovations in programmable nanocomposites for hearing loss treatment, microfluidic assembly of nanostructures, and 3D printing of drug delivery systems. Awards: ÅAU Chancellor’s Prize (2013), Forskarpriset ur Harry Elvings legat (2009) Grants: Projects funded by EU, Finnish Research Council, and Sigrid Jusélius Foundation. Labs/Teams: BioNanoMaterials group explores cutting-edge technologies like nanomedical agents and microfluidics. Current projects include the NAP4DIVE initiative for blood-brain barrier drug delivery.

• Drug Delivery Systems
• Nanomedicine
• Biomaterials Engineering
• +۶ مورد دیگر

Hai-Feng (Frank) Ji is Professor of Chemistry and affiliated faculty in Materials Science at Drexel University. He earned his PhD from Chinese Academy of Sciences and has published over 215 papers spanning nanomaterials, sensors, and drug design. His research develops phosphorus-based 1D/2D nanomaterials for energy applications, microcantilever biosensors for medical diagnostics, plasma-treated polymers for biomedical use, and structure-based cancer therapeutics. Recent breakthroughs include high-mobility amorphous red phosphorus films and ultra-long crystalline phosphorus nanowires. He authored the ACS book 'Fundamentals and Applications of Phosphorous Nanomaterials' and holds patents in sensor design and nanomaterial synthesis.

• Nanomaterials
• Drug Discovery
• Microcantilever Sensors
• +۳ مورد دیگر

Adam Marcus is an Associate Professor of Architecture at Tulane University School of Architecture and serves as Research Director of the Center on Climate Change and Urbanism. He directs Variable Projects, an award-winning design and research studio operating at the intersection of architecture, computation, and fabrication, and is a partner in Futures North, a public art collaborative dedicated to exploring data aesthetics. His educational background includes: Master of Architecture from Columbia University Bachelor of Arts from Brown University Adam's research focuses on critical approaches to design computation, digital fabrication, and robotics, exploring how these technologies enable new modes of ecological, material, and public engagement. His work particularly emphasizes climate adaptation, buoyant ecologies for sea level rise, computational representation, and multispecies architecture. He integrates these interests through practical design-build projects that address ecological challenges while advancing architectural representation and fabrication techniques. His recent publications demonstrate a strong emphasis on computational approaches to architectural representation and ecological design. The works consistently explore the intersection of digital technologies with ecological imperatives, particularly focusing on climate adaptation strategies, multispecies collaborations, and innovative drawing protocols that bridge analog and computational paradigms. His book 'Drawing Codes' represents a significant contribution to rethinking architectural drawing in the computational age. Notable awards include: Selected as one of the '30 Most Admired Educators' by Design Intelligence (2013) Recipient of the New Faculty Teaching Award from the Association of Collegiate Schools of Architecture (2016) Adam has served on ACADIA's Board of Directors from 2015 to 2021 and currently serves on the editorial board of the International Journal of Architectural Computing. His teaching at Tulane includes design studios and courses in computational design and digital fabrication with ecological applications, building on his decade of experience at California College of the Arts where he co-founded the Architectural Ecologies Lab. He leads research initiatives through Tulane's Center on Climate Change and Urbanism, developing practical design solutions for ecological challenges, particularly those related to climate change and sea level rise. His Buoyant Ecologies Float Lab project exemplifies this approach, creating 'optimized upside-down benthos for sea level rise adaptation' that has received attention from major media outlets including Smithsonian Magazine and Architectural Record.

• Architectural Design
• Computational Design
• Digital Fabrication
• +۵ مورد دیگر

Dr. Alamgir Karim is the Dow Chair and Welch Foundation Professor at the University of Houston, leading the International Polymer & Soft Matter Center (IPSMC) and the Doctoral Materials Program. His research focuses on polymer nanotechnology, thin films, and interfaces for energy, sustainability, and health applications. He holds a Ph.D. in Physics from Northwestern University and a B.S. from St. Stephen's College, Delhi. Key contributions include polymer nanocomposites, block copolymer thin films, and graphene oxide membranes for desalination. He is a Fellow of the American Physical Society and AAAS, and a Keck Foundation Award recipient. Research interests span polymer nanotechnology, dielectric materials, and sustainable nanocomposites. Recent work explores MXene-based biomedical composites, CO₂ capture membranes, and high-energy-density dielectrics. His lab develops functional materials for energy storage, environmental remediation, and biomedicine. Education: Ph.D., Physics (Northwestern University, 1991); B.S., Physics (St. Stephen's College, 1985) Leadership: Director of IPSMC; former Goodyear Chair Professor at University of Akron Awards: AAAS Fellowship, APS Fellowship, Keck Foundation Award Advances in block copolymer self-assembly and nanocomposite design have enabled scalable filtration membranes and high-performance dielectrics. His group collaborates on protocell models and sustainable materials processing.

• Polymer Nanotechnology
• Materials Science
• Thin Films and Interfaces
• +۵ مورد دیگر

Mathias Niepert is a Professor at the Institute for Artificial Intelligence within the Faculty of Computer Science, Electrical Engineering and Information Technology at the University of Stuttgart. His research focuses on advancing machine learning techniques with applications in scientific computing, graph neural networks, and medical imaging. He is particularly known for contributions to physics-informed neural networks, equivariant models, and graph learning frameworks. Key research areas include: Scientific Machine Learning for PDEs and molecular modeling Graph neural networks and their theoretical limitations Medical vision-language models and multimodal learning Efficient neural network architectures (transformers, FNOs) Domain knowledge integration in deep learning His work often bridges theoretical foundations with practical applications, as evidenced by extensive publications (2018–2025) on topics like adaptive message passing, equivariant networks, and medical imaging systems. He has contributed to benchmark development through initiatives like PDEBench and pioneered methods for equivariant diffusion models and molecular representation learning. His current projects emphasize: Improving generalization in Fourier Neural Operators Addressing oversmoothing in graph networks Combining physics principles with neural architectures Medical AI applications through multimodal fusion

• Artificial Intelligence
• Machine Learning
• Graph Neural Networks
• +۵ مورد دیگر

Orlando Rojas is a Professor at the University of British Columbia (UBC), holding joint appointments in the Departments of Chemical and Biological Engineering, Chemistry, and Wood Science. He leads the Biobased Colloids and Materials (BiCMat) research group and directs the Bioproducts Institute . His research focuses on sustainable development through renewable materials, including nanopolysaccharides, bacterial nanocellulose, lignins, and multiphase systems. Rojas has advised over 50 PhD students and 40+ MS students, with a h-index of 90 (Google Scholar). Key Roles/Positions : Canada Excellence Research Chair in Renewable Materials Adjunct Professor at NC State University (USA) and Dalian Polytechnic University (China) Director of FinnCERES Flagship (Finland) Research Interests : Development of bio-based materials for energy, healthcare, and environmental applications. Key areas include nanocellulose functionalization, lignin valorization, and bioinspired materials. His work integrates colloidal science, multiphase systems, and sustainable manufacturing. Grants & Awards : ERC Advanced Grant and Horizon H2020 funding 2013 ACS Fellow, 2015 Tappi Nanotechnology Award First Latin-American recipient of the Anselme Payen Award (ACS) Labs & Collaborations : Active partnerships with Aalto University (Finland) and institutions globally. Leads the BiCMat group spanning UBC and FinnCERES, focusing on bio-based materials and sustainable technologies.

• Renewable Materials
• Biopolymers
• Nanocellulose
• +۷ مورد دیگر

Professor Hanadi Sleiman is a renowned academic in the Department of Chemistry at McGill University, specializing in DNA-based nanomaterials and their applications in drug delivery and supramolecular chemistry. She holds leadership roles, including Director of the NSERC CREATE training program in Nucleic Acids and President of the International DNA Nanotechnology Society (ISNSCE). Her research focuses on engineering DNA nanostructures for targeted therapies, such as cancer treatments, and advancing materials chemistry through DNA-functionalized systems. Education: Ph.D. in Chemistry, Stanford University (1990) Postdoctoral Fellow, University of Louis Pasteur (1993) Research Interests: Professor Sleiman’s work combines synthetic chemistry with DNA self-assembly to create programmable materials. Her lab designs DNA cages for drug encapsulation, explores DNA-minimal approaches to scalable materials, and integrates DNA with nanoparticles, polymers, and metals for biomedical applications. Key areas include cancer therapy, biosensors, and enzyme mimics. Awards & Honors: Fellow of the Royal Society of Canada (2017) Killam Research Fellowship (2018) R. U. Lemieux Award in Organic Chemistry (2018) William Dawson Scholar Award (2004–2012) Grants & Collaborations: She directs the NSERC CREATE program and collaborates with institutions like the Quebec Centre for Advanced Materials (QCAM) and the McGill Centre for Structural Biology (CRBS). Her training initiatives emphasize nucleic acid therapeutics and diagnostics. Labs & Teams: Her Sleiman Group at McGill develops innovative DNA architectures in the Otto Maass laboratory, with a focus on translational research for clinical applications.

• Chemical Biology
• Materials Chemistry
• Nanotechnology
• +۳ مورد دیگر

Asst. Prof. OU Pengfei is an Assistant Professor and NUS Presidential Young Professor in the Department of Chemistry at the National University of Singapore, Faculty of Science. He leads the AI for Chemistry (AI4Chem) research group, focusing on computational catalysis, machine learning, and materials science. Previously, he was a Research Associate at Northwestern University and a Postdoctoral Fellow at the University of Toronto under Prof. Edward H. Sargent, and earned his Ph.D. from McGill University. Education: Ph.D., McGill University, 2020 M.Eng., Central South University, 2015 B.Eng., Central South University, 2012 Research interests include catalyst design for electrochemical reactions using ab initio DFT, molecular dynamics simulations, and AI-driven methods. He develops dynamic simulations of chemical processes under reaction conditions and machine learning tools for accelerated catalyst discovery. His work addresses challenges in energy and environmental applications such as CO2 reduction and hydrogen evolution. Notable awards include the NUS Presidential Young Professorship (2024), Climate Positive Energy Postdoctoral Fellowship (2021), and Chinese Government Award for Outstanding Self-Financed Students Abroad (2020). Labs/Teams: The AI4Chem group integrates theory-guided and data-driven approaches to advance computational catalysis, with three core research directions: (1) reaction mechanism exploration and catalyst optimization, (2) dynamic structure-performance relationships under reaction conditions, and (3) machine learning algorithms for high-throughput screening.

• Computational Catalysis
• Electrochemical Reactions
• Ab Initio Calculations
• +۳ مورد دیگر

Lerrel Pinto is an Assistant Professor of Computer Science at New York University's Courant Institute, where he leads the General-purpose Robotics and AI Lab (GRAIL). His research focuses on enabling robots to generalize and adapt in unstructured environments through advancements in robot learning, decision making, and multimodal sensing. Before joining NYU, he completed a postdoc at UC Berkeley, a PhD in Robotics at Carnegie Mellon University, and an undergraduate degree in Mechanical Engineering at IIT Guwahati. Key research areas include large-scale robot learning, representation learning for sensory data, reinforcement learning for adaptability, and open-source robotics hardware. Notable achievements include the Sloan Fellowship (2025), NSF CAREER Award (2024), and Best Paper Awards at multiple robotics conferences. Pinto's lab has developed influential systems such as the AnySkin tactile sensing framework and the OPEN TEACH teleoperation system. Education highlights include a PhD from CMU (2019) under Abhinav Gupta, a postdoctoral stint with Alexei Efros and Pieter Abbeel at Berkeley, and undergraduate studies at IIT Guwahati. He has authored over 65 publications in top conferences like ICRA, NeurIPS, and CVPR. Pinto teaches courses on robotics, reinforcement learning, and AI at NYU. His service contributions include roles on program committees for ICML, NeurIPS, and IROS, as well as organizing workshops on topics like Dexterous Manipulation and Vision-Language Models for Robotics. His team actively collaborates through the GRAIL lab, with current projects exploring tactile sensing, zero-shot policy deployment, and multimodal robot learning systems. Ongoing research emphasizes bridging the gap between human and robotic dexterity through novel reward structures and adaptive control frameworks.

• Robotics
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Ming Cao is a Full Professor at the University of Groningen (Netherlands), holding positions in the Department of Discrete Technology and Production Automation, the Engineering and Technology Institute Groningen, and serving as Chair of the Jantina Tammes School of Digital Society, Technology and AI. His academic roles include Director of the Jantina Tammes School and membership in prestigious organizations such as the International Federation of Automatic Control (IFAC) and the European Commission’s DG CNECT. Cao’s research focuses on multi-agent systems, autonomous robotics, complex networks, and cooperative control, with applications in robotics, epidemic modeling, and biomimetic sensors. Education: PostDoc in Mechanical Engineering from Princeton University (2008), PhD in Electrical Engineering from Yale University (2007). Research Interests: Multi-agent systems, distributed decision-making, cooperative control, robotic teams, seal whisker-inspired flow sensing, and privacy-preserving control systems. Recent Trends in Articles: Recent work emphasizes co-evolutionary dynamics in social-technical systems, privacy in control systems, and biomimetic robotics. Key topics include feedback mechanisms in cooperation, hypergraph-based epidemic models, and seal whisker mechanics for underwater sensing. Awards: European Control Award (2016), Manfred Thoma Medal (2017), ERC Grant (2012). Grants: Vidi Grant from NWO (2015) for agent coordination research. Labs/Teams: Jan C. Willems Center for Systems and Control, Research Center for Data Science and Systems Complexity (DSSC). Active in editorial roles for journals like Artificial Life and Robotics and the SIAM Journal on Control and Optimization .

• Multi-agent systems
• Autonomous Robots
• Complex Systems and Networks
• +۴ مورد دیگر

Richard Garner is a lecturer at Macquarie University's School of Mathematical and Physical Sciences, Faculty of Science and Engineering. He specializes in teaching mathematics to engineering and computing students in units like MATH2055 and MATH1007, focusing on problem-solving and real-world applications. His teaching philosophy emphasizes authentic mathematical experiences, blending abstract concepts with practical examples, such as connecting multivariable calculus to AI technologies. School: School of Mathematical and Physical Sciences University: Macquarie University Teaching Areas: Mathematics for engineering and computing, convolution, multivariable calculus Richard won a Student Nominated Award in the 2023 Vice Chancellor’s Learning and Teaching Awards, reflecting his commitment to student-centered education. He prioritizes clarity in course design, using visual tools and accessible materials to enhance learning, and fosters a supportive environment where students feel comfortable asking questions. Key Teaching Strategies Organized iLearn layouts following Macquarie University's standards Multiple formats for lecture materials (diagrams, color-coded slides) Weekly task clarity and real-world problem framing Live worked examples and transparent success criteria His research spans category theory, computational effects, and homotopy theory, with publications on topics like comodels, monoidal bicategories, and enriched categories. Richard's work bridges abstract mathematics with applications in computer science and logic. Scientific Awards 2023 Vice Chancellor’s Learning and Teaching Award (Student Nominated) Students praise his ability to make complex concepts intuitive, his enthusiasm for mathematics, and his dedication to explaining the 'why' behind the subject. His teaching design, including time-sensitive banners and structured weekly content, has been highlighted as exemplary.

• Category Theory
• Algebraic Structures
• Homotopy Type Theory
• +۳ مورد دیگر

Jon Schuller is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB), within the College of Engineering. His research focuses on nanophotonics, metamaterials, plasmonics, and their applications in energy-efficient technologies such as photovoltaics, thermal management systems, and advanced optical devices. He leads the Schuller Lab, which explores engineered metasurfaces and naturally occurring materials to control light-matter interactions at subwavelength scales. His work bridges fundamental science (e.g., quantum phenomena in hybrid perovskites) and engineering (e.g., reconfigurable semiconductor meta-optics). He is affiliated with the California NanoSystems Institute (CNSI) and actively contributes to interdisciplinary research initiatives. Contact: jonschuller@ece.ucsb.edu, Office 3221C Engineering Science Building. Research interests include directional light emission control via metasurfaces, thermal radiation tuning using phase-change materials, and the development of high-efficiency photonic devices. His lab emphasizes fabrication and characterization of nanophotonic structures, with applications ranging from space technology to exoplanet imaging systems. Recent efforts focus on electrically tunable metasurfaces and multipolar optical phenomena in layered materials. Key technical contributions involve designing reconfigurable optical antennas, optimizing metasurface-based LEDs, and exploring magnetic dipole emission in 2D perovskites. His team collaborates across disciplines to address challenges in energy, aerospace, and quantum technologies. Current opportunities include postdoctoral positions in nonlinear optics and photonics.

• Nanophotonics
• Plasmonics
• Metamaterials
• +۷ مورد دیگر

Makhlouf M. Makhlouf is a Professor of Mechanical & Materials Engineering at Worcester Polytechnic Institute (WPI). He served as Director of the Advanced Casting Research Center (ACRC) from 1992 to 2015, leading it to become the world's leading foundry-industry consortium. His expertise spans physical metallurgy, materials processing, and nanocomposite development. He holds 5 US/European patents and has authored over 150 papers. Education : BS (High Honors), American University in Cairo, 1978 MS, Mechanical Engineering, New Mexico State University, 1980 PhD, Materials Science & Engineering, WPI, 1990 Research Interests : Makhlouf focuses on developing high-performance alloys (e.g., aluminum alloys for high-temperature applications), solidification processes, and metal-matrix nanocomposites via methods like RIGLI. His work integrates thermodynamics, kinetics, and heat/mass transfer modeling for materials engineering challenges. Articles Overview : His recent publications address topics like aluminum alloy precipitation strengthening (2017), gas-liquid synthesis of nanocomposites (2017), and casting process optimization (2017). These contributions emphasize practical applications in foundry and aerospace sectors. Grants & Advising : He has directed federally/non-federally funded projects, mentored 10 PhD students, 20 MS students, and 8 postdoctoral fellows. His work bridges academic research and industrial collaboration. Labs/Teams : He leads research through WPI's ACRC and collaborates with industry partners to advance foundry technologies and nanocomposite manufacturing.

• Physical Metallurgy
• Materials Processing
• Solidification of Metals
• +۴ مورد دیگر