جست‌وجوی استاد و پژوهشگر

Jennifer Tangمشاهده پروفایل

پژوهشگر ارشد

• information theory
• prediction and estimation
• quantization and data compression
• +۴ مورد دیگر

Jennifer Tang is a Postdoctoral Associate at the Massachusetts Institute of Technology (MIT), holding dual appointments in the Institute for Data, Systems, and Society (IDSS) and the Laboratory for Information and Decision Systems (LIDS). She conducts her research under Professor Ali Jadbabaie, focusing on interdisciplinary problems at the intersection of information theory, network science, and social dynamics. Her position is temporary as she actively seeks a permanent academic role through the 2025 job market. Her academic credentials include: Ph.D. in Electrical Engineering and Computer Science from MIT, advised by Professor Yury Polyanskiy Bachelor of Science in Engineering (B.S.E.) in Electrical Engineering from Princeton University, with independent work supervised by Paul Cuff Dr. Tang's research program centers on theoretical and applied aspects of information theory, including channel capacity, quantization, and data compression. She investigates prediction and estimation in high-dimensional settings, data analytics for complex systems, and mathematical modeling of social dynamics and inference in multi-agent networks. Her work employs tools from statistics, optimization, and network theory to address challenges in communication, decision-making, and societal systems, with particular emphasis on opinion dynamics under social pressure and efficient representation of probability distributions. Analysis of her publication record reveals consistent contributions to information-theoretic limits, social network modeling, and compression techniques. Her works frequently appear in top venues like IEEE Transactions on Information Theory and major conferences (ISIT, CDC, ACC), demonstrating expertise in bridging theoretical foundations with real-world applications in networked systems and societal challenges. Her scientific achievements have been recognized with: Best Student Paper Award at IEEE International Symposium on Information Theory (ISIT) 2022 Best Student Paper Award at IEEE Machine Learning for Signal Processing (MLSP) 2022 Student Competition Winner at the Shannon Centennial Celebration Dr. Tang maintains an active teaching portfolio, having served as instructor for MIT 1.022: Introduction to Network Models (Spring 2025) and teaching assistant for multiple core courses including 6.008 (Introduction to Inference), 6.041/6.431 (Probabilistic Systems Analysis), 6.437 (Inference and Information), and 6.439 (Statistics, Computation and Applications). She also contributed to the MIT Women's Technology Program as a Mathematics Instructor during summer 2017. Her research is embedded within MIT's Laboratory for Information and Decision Systems (LIDS) and Institute for Data, Systems, and Society (IDSS), two premier interdisciplinary laboratories fostering collaboration on data-driven decision-making, societal challenges, and foundational theory in information and systems.

• Security of Deep Learning Systems
• Side-Channel Attacks
• Privacy-Preserving Machine Learning
• +۳ مورد دیگر

Dr. Yuanyuan Yuan is a Researcher at the Department of Computer Science, ETH Zurich, Switzerland, based at CNB H 104.1, Universitätstrasse 6, 8092 Zurich. Her work bridges computer security and machine learning with a focus on practical vulnerabilities in deployed AI systems. Her research centers on exposing and mitigating security flaws in deep learning deployments, particularly targeting trusted execution environments (TEEs) and on-device inference systems. Key contributions include pioneering side-channel attacks against TEE-shielded neural networks (CipherSteal, HyperTheft), bit-flip attack surfaces in DNN executables (BitShield), and novel testing methodologies for neural network robustness. She investigates cache/timing side channels, ciphertext analysis, privacy leakage in partitioned ML, and concept-based explainability. Analysis of her 2023-2025 publications reveals a cohesive focus on offensive security research for AI infrastructures, with consistent contributions to top venues in security and machine learning. Her work demonstrates expertise in low-level system interactions (memory, cryptography) applied to ML security, spanning attack vectors, defensive mechanisms, and validation frameworks. The research trajectory shows increasing sophistication in exploiting hardware-software interfaces while developing practical hardening techniques for real-world deployments.

• Biomedical Engineering
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Aggelos K. Katsaggelos is a Professor in the Department of Electrical Engineering and Computer Science at Northwestern University's McCormick School of Engineering. His research focuses on biomedical imaging, machine learning, and computer vision applications in healthcare. He has collaborated extensively with interdisciplinary teams, including clinicians and engineers, to develop advanced algorithms for medical diagnosis and image analysis. Key research interests include medical image processing, deep learning for diagnostics, and computational methods in cardiology. His work spans applications such as MRI and ultrasound analysis, automated pathology detection, and multimodal sensing for health monitoring. Recent articles highlight contributions to myocardial scar quantification, lung ultrasound scoring, and AI-driven cough detection. His methodologies often combine domain-specific physics with modern machine learning techniques to solve real-world clinical challenges. Notable collaborations include projects with institutions like the University of Chicago and international teams in astrophysics and cognitive science. His work emphasizes translating algorithmic advancements into practical clinical tools.

Daan van Aaltenمشاهده پروفایل

استاد

• Protein O-GlcNAcylation
• Intellectual Disability
• Structural Biology
• +۵ مورد دیگر

Daan van Aalten is a Professor at Aarhus University, affiliated with the Department of Molecular Biology and Genetics - Neurobiology within the Faculty of Natural Sciences. His research focuses on protein O-GlcNAcylation, a critical posttranslational modification linked to intellectual disability (OGT-CDG). He leads studies using model systems (mESCs, Drosophila, mice) to dissect molecular mechanisms underlying OGT-CDG phenotypes. Notable contributions include defining OGT-CDG as a congenital disorder of glycosylation and identifying therapeutic targets. He has secured major grants, including a Novo Nordisk Foundation Laureate Grant (DKK 50M) and a Villum Investigator Grant (DKK 40M), supporting work on protein modifications and fungal pathogenesis. Key research areas include enzymology, structural biology, and neurobiology. His lab explores O-GlcNAc signaling dynamics, fungal cell wall synthesis, and genetic disorders. Recent studies highlight neurodevelopmental defects in mouse models and human stem cell systems. Collaborative projects with international teams advance drug discovery for fungal pathogens and intellectual disability syndromes. Publications span molecular mechanisms of OGT mutations, enzyme inhibitors, and structural biology. Awards include recognition for his transformative work in glycobiology and neurodevelopment. His lab actively engages in training scientists and welcomes inquiries about OGT-CDG studies via ogtcdg@au.dk.

Yvonne Dittrichمشاهده پروفایل

استاد

• Cooperative and Human Aspects of Software Engineering
• Continuous Software Engineering (CSE)
• Use Orientation in Software Engineering
• +۷ مورد دیگر

Yvonne Dittrich is a Professor at the IT University of Copenhagen (ITU), affiliated with the Software Development Group. She holds an adjunct professorship at IIT Mandi, India, and has held roles at institutions in Sweden, Canada, and the U.S. Her research focuses on cooperative and human aspects of software engineering, including Continuous Software Engineering (CSE), use-oriented design, and end-user development (EUD). She has led projects like SAIA-Farm (sustainable irrigation via satellite analytics) and contributed to frameworks like 'Cooperative Method Development.' **Education**: PhD in Computer Science (Hamburg University, 1997), M.Sc. from TU Darmstadt. **Research Interests**: She pioneers methods bridging software engineering with human-centric practices, emphasizing sustainability and participatory design. Her work addresses challenges in global software development, agile methodologies, and software ecosystems. **Awards**: TAT-Förderpreis (1989), Best Paper Award (2018), Distinguished Reviewer recognition (2018). **Grants & Leadership**: Led projects funded by the Danish Innovation Fund, EU, and others. Served on editorial boards for IEEE Transactions on Software Engineering and Journal of Systems and Software. **Labs/Teams**: Collaborates with labs in Denmark, India, and Canada on interdisciplinary projects, including smart irrigation systems and fintech ESG data commons.

Montserrat Rosمشاهده پروفایل

دانشیار

• Embedded Systems
• Sensor Networks Data Fusion
• Cyber-Physical Systems
• +۶ مورد دیگر

Montserrat Ros is an Associate Professor and Associate Dean (Education) at the School of Electrical, Computer and Telecommunications Engineering within the Faculty of Engineering and Information Sciences at the University of Wollongong, Australia. She has been with the university since 2006, initially joining as a Lecturer in Computer Engineering and progressing to her current senior academic and leadership roles. Her educational background includes: B.E.(Hons1)/B.Sc. double degree majoring in Computer Systems Engineering and Mathematics from the University of Queensland (2000) Ph.D. degree in Computer Engineering from the University of Queensland (2007) Professor Ros's research focuses on the intersection of embedded computing systems and practical engineering applications. Her work spans several key areas including embedded systems design, sensor network data fusion, cyber-physical systems development, and innovative approaches to engineering education. She has particular expertise in sensor-based localization techniques, computer architecture optimization, and code compression methodologies for resource-constrained environments. More recently, her research has expanded into machine learning applications for constrained systems and Internet of Things implementations. Analysis of her recent publication record reveals a strong emphasis on Internet of Things networks, UAV-based systems, and applications of artificial intelligence in both engineering education and manufacturing processes. Her work demonstrates a consistent pattern of bridging theoretical computer engineering concepts with practical real-world applications across diverse domains including healthcare, environmental monitoring, and industrial automation. Her significant contributions to academia have been recognized through numerous prestigious awards: 2019: AAUT Citation for Outstanding Contribution to Student Learning 2018: IEEE TALE 2018 Meritorious Service Award 2018: Featured in UOW Leadership in Education Booklet 2017: UOW Vice Chancellor's Award for Outstanding Contribution to Teaching and Learning 2016: UOW Women of Impact for inspiring young women in STEM 2015: UOW Vice Chancellor's Interdisciplinary Research Excellence Award 2012 & 2007: UOW Vice Chancellor's Awards for Teaching Excellence 2011: UOW Vice Chancellor's Award for Community Engagement Senior Fellow of WATTLE (Wollongong Academy for Tertiary Teaching & Learning Excellence) Professor Ros has secured substantial research funding across multiple projects spanning from 2006 to the present. Her grant portfolio demonstrates a consistent focus on engineering education innovation, sensor network development, and practical applications of embedded systems. Notable projects include "The AI Tutor: Enabling 24x7 student support across engineering" (2024), "AI/IoT-powered Airborne System for Monitoring Water Level and Tidal Floods" (2023), and "Smart Eye: Airborne and AI-Driven Assessment Solution of Sugarcane" (2022). She actively supervises HDR students and has completed multiple successful candidatures. Her leadership extends beyond research and teaching, as evidenced by her role as Associate Dean (Education) for the Faculty of Engineering and Information Sciences. She is also actively involved in community engagement through volunteering with the State Emergency Service (Wollongong SES) and Athletics Wollongong Club.

• Biomedical engineering
• Tissue engineering
• Regenerative medicine
• +۸ مورد دیگر

Professor Travis Klein leads the Cartilage Regeneration Laboratory at Queensland University of Technology (QUT) within the School of Mechanical, Medical and Process Engineering. His research spans biomedical engineering, focusing on cartilage regeneration, biofabrication, and development of advanced biomaterials for regenerative medicine. PhD in Bioengineering from University of California Co-founder of Gelomics Pty Ltd Founding Director of QUT Centre for Biomedical Technologies Klein's work integrates biomaterials , stem cell research , and mechanobiology to develop regenerative therapies for cartilage defects and osteoarthritis. His group applies similar technologies to cardiovascular and cancer applications through 3D cell culture systems and bioreactor engineering. Recent publications focus on hydrogel modifications , electrowriting techniques , and dynamic bioreactor systems for tissue engineering. His research has been recognized through competitive ARC fellowships and principal research roles in major grant projects. Recipient of 2011 ARC Industrial Transformation Training Centre Fellowship 2008 Australian Postdoctoral Fellowship awardee As an educator, Klein coordinates EGH438 - Biomaterials and ENN532 - Safety and Environmental Management , while lecturing in engineering mechanics and advanced manufacturing. He also supervises final year engineering projects ( EGH400 ).

• Neurosciences
• Cognitive and computational psychology
• Biological psychology
• +۳ مورد دیگر

Roni Maimon Mor is a Research Fellow at the Institute of Ophthalmology, University College London. Their work bridges neuroscience, cognitive psychology, and biomedical engineering, focusing on vision science, neural plasticity, and human-technology interaction. They investigate how sensory deprivation (e.g., congenital sight impairment) and interventions (e.g., gene therapy) reshape neural processes and perceptual abilities. Research interests include developmental vision, robotic prosthetics, and the cognitive embodiment of artificial limbs. Their studies explore how early life experiences influence motor learning and how neural systems adapt to sensory loss or technological augmentation. Mor’s interdisciplinary approach integrates neuroimaging (e.g., fMRI, EEG), behavioral experiments, and engineering solutions like gaze-tracking systems for pediatric diagnostics. Publications highlight advancements in gene therapy outcomes for retinal dystrophies, cortical plasticity in sensory-deprived populations, and neural correlates of prosthetic limb use. Their work contributes to clinical tools for vision assessment and theoretical models of body representation. No scientific awards explicitly listed. Research is supported by collaborations in ophthalmology, robotics, and cognitive science. Mor’s lab at UCL focuses on translating neural findings into therapeutic and assistive technologies.

Harold Parkمشاهده پروفایل

استاد

• Computational Nanomechanics
• Mechanics of two-dimensional nanostructures
• Mechanics of soft, active materials
• +۵ مورد دیگر

Harold S. Park is a Professor of Mechanical Engineering and Materials Science & Engineering at Boston University. He leads research in computational nanomechanics, focusing on nanowire mechanics, soft materials, and coupled electromechanical phenomena. Park earned his PhD from Northwestern University in 2004 and has held faculty positions since 2007. His work bridges atomistic simulations and continuum mechanics, addressing challenges in nanoscale material behavior and energy conversion. Education: PhD, Northwestern University (2004) MS, Northwestern University (2001) BS, Northwestern University (1999) Research Interests: Park’s lab explores topological mechanics, phononic metamaterials, and machine learning-driven materials design. Key areas include surface-dominated plasticity in nanomaterials, flexoelectricity in 2D materials, and energy harvesting via crumpling mechanics. His team develops multiscale models to predict mechanical behavior across length scales. Publications: Over 150 peer-reviewed articles span topics like nanowire deformation mechanisms, nanoresonator dynamics, and topology-optimized metamaterials. Recent work highlights include enhancing nanowire Q-factors via strain tuning and designing non-reciprocal elastic systems. Awards: NSF CAREER Award (2007) DARPA Young Faculty Award (2008) ASME Fellow (2016) John Argyris Award (2016) Advising & Teams: Park mentors graduate students and postdocs in experimental and computational mechanics. Notable advisees include Dr. Penghui Cao (UC-Irvine faculty) and Dr. Saman Seifi. His lab collaborates with industry partners on nanomaterials for sensors and energy systems. Labs: Affiliated with the Materials by Design Center at BU, focusing on computational and experimental nanomechanics. Active in editorial roles for journals like Journal of Applied Mechanics and Nano Letters .

• Inorganic Chemistry
• Material Sciences
• Nanotechnology
• +۳ مورد دیگر

Dr. Sergii Yakunin is a Lecturer at the Department of Chemistry and Applied Biosciences at ETH Zürich, specializing in inorganic functional materials. His research focuses on advanced materials for radiation detection, semiconductor devices, and optoelectronic applications. Key areas include perovskite nanocrystals, quantum dots, and photodetector technologies. He leads the Laboratory of Inorganic Chemistry (LAC), emphasizing material synthesis, characterization, and device integration. Research interests encompass radiation detection systems, energy materials, and nanotechnology applications. Recent work highlights advancements in X-ray/gamma detectors using perovskites, colloidal nanocrystal fabrication, and compact optical spectrometers. His contributions bridge fundamental material science with applied technologies for medical imaging, energy harvesting, and photonics. Publications emphasize detector performance optimization, nanocrystal stability, and novel material designs. Current efforts address challenges in detector sensitivity, environmental stability, and scalable manufacturing. Collaborative projects focus on integrating functional materials into wearable and compact devices for next-generation applications.

Jialiang Huangمشاهده پروفایل

مدرس ارشد

• Nanoscale Characterisation
• Thin-Film Solar Cells
• Defect Engineering
• +۳ مورد دیگر

Dr. Jialiang Huang is a Senior Lecturer and Senior Research Fellow at the School of Photovoltaic and Renewable Energy Engineering, University of New South Wales. With over 15 years of expertise in thin-film solar cells, his work focuses on defect engineering , nanostructured materials , and advanced characterization techniques . His research spans emerging photovoltaic materials such as polycrystalline silicon, kesterite, chalcogenides, and perovskites. Research Interests include: Defect engineering in high-efficiency solar cells Advanced electron microscopy characterization Development of Cd-free and high-bandgap photovoltaic technologies His articles (e.g., on Cd-free Cu2ZnSnS4 solar cells and multifunctional coatings) highlight innovations in material synthesis and efficiency optimization. His work emphasizes nanoscale characterization and interface engineering , contributing to advancements in solar energy systems. Labs/Teams: Active in the UNSW Electron Microscope Unit and collaborative projects on solar-driven ammonia synthesis and photovoltaic materials.

Chi Zhouمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Rapid Prototyping
• 3D Printing Technologies
• +۴ مورد دیگر

Chi Zhou is an Associate Professor and Director of Graduate Studies in the Department of Industrial and Systems Engineering at the University at Buffalo. He also holds an adjunct appointment as Adjunct Associate Professor in the Department of Computer Science and Engineering. His research focuses on additive manufacturing, rapid prototyping, and advanced material systems. Zhou has a PhD in Industrial and Systems Engineering (2011) from the University of Southern California, with additional degrees in Computer Science and Industrial Engineering. His work bridges manufacturing processes, material science, and computational methods. Key research areas include inkjet printing process optimization, hydrogel-based 3D printing, thermal insulation materials from agricultural byproducts, and smart material systems like magnetorheological metamaterials. He has pioneered methods for real-time process monitoring and defect detection in additive manufacturing. Zhou’s recent publications emphasize sustainable manufacturing solutions, such as bio-based insulation materials and cost-effective silica aerogel production. His contributions also span energy harvesting (e.g., conductive hydrogel generators) and advanced structural designs using triply periodic minimal structures. He has led interdisciplinary projects integrating digital twins for cyber manufacturing systems and geometric deep learning for mass customization applications.

• Extracellular Matrix Biology
• Biomaterials
• Tissue Engineering
• +۵ مورد دیگر

Themis Kyriakides is a Professor of Pathology and Biomedical Engineering at Yale School of Medicine. He holds dual appointments in the Department of Pathology and the School of Engineering and Applied Science. Dr. Kyriakides completed his PhD at Washington State University in 1993, followed by postdoctoral training at the University of Washington. He serves as Director of Graduate Studies for the Experimental Pathology PhD program and mentors students from the School of Engineering. His research focuses on cellular and molecular mechanisms of tissue repair, with a particular emphasis on extracellular matrix interactions, inflammation, and biomaterials. Key areas include engineering biomaterials to enhance tissue regeneration, studying the role of matricellular proteins like thrombospondin-2, and developing therapies for diabetic wound healing. His lab has pioneered novel hydrogel systems and nanomaterials for medical applications. Dr. Kyriakides has authored over 75 publications, including recent work on alginate-based hydrogels, photosensitive nanoprobes, and bone repair strategies. He is a Fellow of the American Institute for Medical and Biological Engineering. His research is supported by NIH grants and collaborations with institutions like the Diabetes Research Center and Yale Fibrosis Program. Dr. Kyriakides' lab (Kyriakides Lab) investigates biomaterial-tissue interfaces, angiogenesis, and the foreign body response. He collaborates widely, with frequent co-authors including Hao Xing, Yaqing Huang, and Frederic Pincet. His work bridges engineering and medicine, aiming to translate biological insights into clinical solutions for chronic diseases and tissue damage.

Bahattin Koçمشاهده پروفایل

استاد

• 3D Bioprinting
• Additive Manufacturing
• Computational Geometry
• +۳ مورد دیگر

Prof. Bahattin Koç is a Professor at Sabancı University's Faculty of Engineering and Natural Sciences, coordinating the Manufacturing Engineering Program. He holds a Ph.D. and has extensive experience in academia and industry, including roles at The State University of New York at Buffalo. His research focuses on 3D bioprinting, additive manufacturing, computational geometry, and nanotechnology-driven manufacturing processes. Research Interests: 3D bioprinting for tissue engineering, computational geometry for additive manufacturing, heterogeneous and multi-functional object modeling, nano-micro additive manufacturing, and hybrid manufacturing processes. His work integrates advanced design and manufacturing techniques to address challenges in biomedical and industrial applications. Grants and Funding: Secured significant grants including £815,625 from UK EPSRC (2018-2021), €1.4M from DiCoMI H2020 RISE (2018-2022), and $5M from the Turkish Ministry of Development. Projects include bone defect repair, bioprinting of patient-specific scaffolds, and advanced composite manufacturing. Students and Collaborations: Advised over 30 graduate students and researchers. Notable collaborations include work with Penn State University, University of Buffalo, and industry partners like TUSAS Engine Industries. He is a founding member of Sabancı University's Integrated Manufacturing Center and serves on TÜBİTAK advisory boards. Awards and Recognition: Co-inventor of patents such as the 'Method For Three Dimensional Printing Of Heterogeneous Structures' and 'Resorbable Laminated Repair Film'. Recognized for contributions to biofabrication and manufacturing innovation.

• Nanophotonics
• Plasmonics
• Quantum Dots
• +۵ مورد دیگر

Tapio Niemi is an Associate Professor (tenure track) in the Department of Physics at Aalto University. He holds a Doctor of Science (Technology) from the former Helsinki University of Technology (now part of Aalto University), awarded in 2002. His research focuses on nanophotonics, plasmonics, quantum dots, and semiconductor materials, with particular expertise in nanofabrication techniques such as block copolymer lithography and nanoimprint lithography. His work contributes to the UN Sustainable Development Goals through advancements in solar cell technology and environmental sensor development. Key research areas include the design of optical devices like microdisk lasers, guided-mode resonance gratings, and plasmonic sensors. He has pioneered studies on ZnO nanowire functionalization and nonlinear optical microscopy, with applications in biomedical imaging and environmental sensing. His interdisciplinary approach integrates nanotechnology, photonics, and materials science to address challenges in energy, health, and sustainability. Education: Doctor of Science (Technology), Helsinki University of Technology (2002) Supervision: Advised doctoral student Tommi Isoniemi on carbon nanotubes and graphene in plasmonics (2017–2021) Labs/Teams: Collaborations include the NanoScience Center (University of Jyväskylä) and Aalto’s nanophotonics research groups Recent work emphasizes high-Q resonators, Purcell-enhanced quantum dot light sources, and UV-curable polymer stamp lithography. His publications span journals like Advanced Optical Materials and Applied Physics Letters , with a focus on practical applications in photonics and nanotechnology.