جستجوی استاد راهنمای دانشگاهی

• Structural Health Monitoring
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Roya Nasimi, Ph.D., is an Assistant Professor in the Department of Engineering at California State University, East Bay, where she joined in Fall 2023. Her expertise spans structural engineering, computer vision, and artificial intelligence, with a focus on developing innovative solutions for infrastructure monitoring and safety. Dr. Nasimi's educational background includes: Ph.D. with distinction in Structural Engineering from the University of New Mexico Master’s degree in Structural Engineering from the University of Tabriz Bachelor’s degree in Civil Engineering from the University of Tabriz Her research focuses on structural health monitoring using advanced technologies. She integrates computer vision , artificial intelligence , and machine learning to develop systems for monitoring aging infrastructure, particularly bridges. Her work includes designing low-cost and high-end sensor systems, conducting full-scale bridge experiments, and collaborating on interdisciplinary projects to enhance infrastructure safety and resilience. Her recent publications (2021-2025) demonstrate a strong emphasis on non-contact monitoring techniques using drones, lasers, and computer vision. Key trends include the application of deep learning for displacement measurement, digital twinning for infrastructure, and rockfall prevention through machine learning. Her work bridges civil engineering with cutting-edge technology to address critical infrastructure challenges. Dr. Nasimi's research is supported by multiple grants: U.S. Army Corps of Engineers Transportation Research Board (TRB) Transportation Consortium of South-Central States (Tran-SET) New Mexico Consortium She serves on two TRB standing committees and mentors students in structural health monitoring and infrastructure technology. Dr. Nasimi leads interdisciplinary research teams focused on infrastructure monitoring, utilizing drones, lasers, and computer vision systems. Her work involves field experiments on bridges and rail systems, often in collaboration with government agencies and research consortia.

Sina Sarehمشاهده پروفایل

استاد

• Soft robotics
• Multi-modal mobility
• Manipulation and attachment
• +۱ مورد دیگر

Sina Sareh is a robotics researcher at the Royal College of Art (RCA), where he leads the RCA Robotics Laboratory within the School of Design. He has established himself as an expert in soft robotics and multimodal sensing, developing innovative solutions for human safety and access problems in industrial operations. Dr. Sareh's educational background includes: PhD in Robotics from the University of Bristol, where he worked on monolithic design of flexible actuators for operation in confined liquid environments MSc in Control Systems from the University of Sheffield BSc in Electrical Engineering from Amirkabir University of Technology, Tehran Dr. Sareh's research focuses on soft robotics, multi-modal mobility, manipulation and attachment, and multimodal sensing. His work bridges the gap between robotics engineering and practical applications, particularly in medical and industrial settings. He has developed novel approaches to robotic attachment inspired by octopus biology, created haptic interfaces that mimic the feeling of touching human internal organs, and designed soft robotic technologies to help articulate pain symptoms. His research consistently demonstrates innovation in creating adaptable robotic systems that can operate effectively in complex, unstructured environments where traditional rigid robots face limitations. His publication record demonstrates a strong trajectory in robotics research, with emphasis on soft robotics, medical applications, and novel sensing techniques. The research shows progression from fundamental soft actuator design to practical applications in surgery, industrial operations, and human-robot interaction, with a consistent focus on solving real-world problems through biologically inspired approaches. Dr. Sareh has successfully secured multiple research grants, including EPSRC funding for 'Getting a Grip' and 'Multi-vendor Interoperability in Robotics,' as well as InnoHK funding for 'Intelligent Medicine Warehousing.' He has also served as an impact assessor for the Research Excellence Framework (REF) 2021 in Engineering and is a member of the editorial board at IET Cyber-physical Systems and Robotics Journal. Currently, Dr. Sareh advises research students including Filippo Sanzeni, and maintains active collaborations with industry and academic partners through the RCA Robotics Laboratory, which serves as a hub for interdisciplinary robotics research at the intersection of design, engineering, and human-centered applications. His work on projects like 'Topographies of Pain' and 'Reminisys' demonstrates a commitment to applying robotics technology to improve healthcare outcomes and quality of life.

• Biomedical Engineering
• Nanotechnology
• Cancer Research
• +۳ مورد دیگر

Yen-Cheng Liu is a former researcher at École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences (BIOS) and multiple departments including LCOM and CMI. His work focuses on interdisciplinary research at the intersection of biomedical engineering, nanotechnology, and cancer biology. Key research areas include nanoplasmonic biosensors, single-cell analysis, optofluidic systems, and cancer immunology. He holds collaborations with institutions like the University of Lausanne and the Centre Hospitalier Universitaire Vaudois (CHUV). His research emphasizes real-time monitoring of cellular secretions, tumor microenvironment dynamics, and diagnostic platform development for pathogens and genetic diseases. Notable contributions include high-throughput microarray technologies for single-cell secretion profiling and optofluidic platforms for molecular diagnostics. Liu’s publications span journals like Advanced Science , Advanced Functional Materials , and Biosensors and Bioelectronics . His work integrates engineering principles with biological systems to address challenges in precision medicine and cancer therapy.

Christian Krupitzerمشاهده پروفایل

استاد

• Food Informatics
• Self-adaptive Software Systems
• Machine Learning
• +۴ مورد دیگر

Jun.-Prof. Dr. Christian Krupitzer is a Tenure Track Professor in Food Informatics at the University of Hohenheim's Institute of Food Science and Biotechnology, part of the Faculty of Natural Sciences. He leads the Department of Food Informatics and is a member of the Computational Science Hub (CSH). His research focuses on self-adaptive software systems, machine learning (especially edge computing), IoT technologies, and software engineering applied to food processing and agricultural systems. Education: PhD in Business Information Systems (Dr. rer. pol.), University of Mannheim (2018) M.Sc. and B.Sc. in Business Information Systems, University of Mannheim (2010–2012) High School Diploma (Abitur) from Wilhelmi-Gymnasium Sinsheim (2007) Research Interests: Krupitzer’s work integrates computational methods with food science, emphasizing adaptive systems for food quality monitoring, IoT in agriculture, and machine learning for predictive analytics. He explores edge computing’s role in real-time decision-making and secure group communication schemes for IoT networks. Publications: His recent work spans predictive maintenance in Industry 4.0, digital twins in food systems, and blockchain applications in supply chain authentication. The articles highlight trends in interdisciplinary approaches combining AI, IoT, and domain-specific challenges in food production and logistics. Awards: No scientific awards explicitly listed in the provided materials. Grants & Advising: While specific grants are unmentioned, his roles as department head and tenure-track professor suggest involvement in research funding. No formal advisee list provided, though his team includes postgraduate researchers like Dana Jox, Daniel Einsiedel, and others. Labs & Teams: Leads the Food Informatics department and collaborates with the Computational Science Hub. His team focuses on developing innovative solutions for food systems through computational methods.

Jung Yun Baeمشاهده پروفایل

استادیار

• Robotics
• Multi-robot systems
• Coordination of Heterogeneous Robot Systems
• +۴ مورد دیگر

Jung Yun Bae serves as Assistant Professor in Mechanical and Aerospace Engineering at Michigan Technological University with a secondary appointment in Applied Computing within the College of Computing, joining MTU in 2019 after five years as Research Professor at Korea University's Intelligent Systems and Robotics Laboratory. Her academic credentials include: PhD in Mechanical Engineering from Texas A&M University MS in Mechanical Engineering from Hongik University BS in Mechanical Engineering from Hongik University Dr. Bae's research program centers on Robotics with emphasis on Multi-robot systems, particularly Coordination of Heterogeneous Robot Teams and Vehicle Routing Problems. Her work develops operational strategies for multi-agent autonomous vehicle systems through Multi-robot System Control and Optimization techniques, extending to Autonomous Navigation and Operational Research applications. Current investigations focus on underwater robotics coordination and neuroevolution approaches for connected vehicle systems. Analysis of her recent publications reveals consistent focus on workload-balanced task allocation for heterogeneous robot teams across challenging environments. Her underwater robotics research addresses tether management and entanglement avoidance, while neuroevolution applications target autonomous vehicle control at uncontrolled intersections and hybrid powertrain optimization, bridging robotics with operations research and artificial intelligence. Prior to MTU, Dr. Bae maintained affiliation with Korea University's Intelligent Systems and Robotics Laboratory. Her current work at MTU connects with the Great Lakes Research Center context, though specific laboratory details aren't provided in available materials.

Lin Caiمشاهده پروفایل

دانشیار

• Wireless Communication
• Networking
• Green Radio Communication Networks
• +۵ مورد دیگر

Lin Cai is an Associate Professor in the Department of Electrical and Computer Engineering at Illinois Institute of Technology, serving as Director of Graduate Affairs. She holds a Ph.D. in Electrical and Computer Engineering from the University of Waterloo, Canada (2010). Her research focuses on sustainable wireless communication and networking, particularly in energy harvesting, IoT, and deep reinforcement learning for resource management. Key research projects include energy sustainability in renewable-energy-powered networks, energy-efficient 5G protocols, and radio resource management over unlicensed bands. She has received the NSF CAREER Award (2016-2020), Best Paper Awards, and NSERC Postdoctoral Fellowship. Her work spans theoretical frameworks and practical implementations in HetNets, MIMO, and UAV-based systems. Education: Ph.D., E&CE, University of Waterloo, Canada (2010) Affiliations: Executive Editorial Committee member, IEEE Transactions on Wireless Communications (2021–present); Associate Editor for multiple IEEE journals Teaching: Courses include ECE 407/408 (Computer Networks) and ECE 517 (Modern Wireless Network Protocols) Her research emphasizes cross-layer protocol design, sustainable capacity planning, and topology control. Notable contributions include frameworks for energy sustainable radio resource management and optimization in dense HetNets. She actively contributes to conference organization and technical program committees for IEEE INFOCOM, GLOBECOM, and ICC.

Michael Hallerمشاهده پروفایل

استاد

• Human-Computer Interaction
• Next-Generation Interfaces
• Smart Textile Interfaces
• +۳ مورد دیگر

Michael Haller is a Full Professor at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy, where he serves as founder and director of the Media Interaction Lab. Based at NOI Techpark, his work focuses on next-generation human-computer interfaces, leading a team of over 10 researchers and students in developing innovative interaction technologies for automotive and wearable applications. He earned his Dipl.-Ing. (1997), Dr. techn. (2001), and Habilitation (2007) degrees from Johannes Kepler University of Linz, Austria. Haller's research centers on Human-Computer Interaction with specialized expertise in Smart Textile Interfaces, Physical Prototyping, and Ubiquitous Computing. His lab pioneers user-centered design of next-generation interfaces through industry collaborations with BMW, KTM, SEFAR, and Tratter Engineering. Current work emphasizes sustainable materials for flexible sensors, touchless interaction, and reducing plastic components in automotive interfaces while maintaining ergonomic functionality. His 15 most recent publications (2023-2025) demonstrate a clear trajectory toward sustainable sensor technologies, particularly biodegradable substrates (wood, animal-based, stone, gelatin) for temperature and pressure sensing. These works bridge materials science with HCI, targeting automotive interfaces, health monitoring, and eco-fashion through textile-based solutions that prioritize environmental sustainability without sacrificing performance. His scientific accolades include: Erwin Schrödinger Fellowship Award Google Research Award Europrix Top Talent Award Best ACM SIGGRAPH Emerging Technologies Award Microsoft Imagine Cup 7 Best Paper and Honorable Mention Awards at ACM CHI and ACM UIST Haller directs major research projects including SmartCover (2024-2026) for developing smart laminated dashboards that replace plastic components with gesture-based textile interfaces, and iPlayground (2024-2026) establishing an industrial-scale smart textile lab. He mentors researchers in prototyping and empirical evaluation, with industry grants supporting the development of washable touchless fabrics and next-generation vehicle interfaces. His work bridges academic research and commercial product development through direct industry partnerships. The Media Interaction Lab operates from NOI Techpark with industrial knitting/sewing machines, confocal microscopes for surface analysis, and a collaborative Idea Space for rapid prototyping. Current infrastructure enables development of warp-knitted smart textiles for automotive consoles and sustainable fashion applications, focusing on reducing plastic waste while creating intuitive touchless interaction experiences through magnetoresistive and inductive sensing technologies.

Josep Puigmartí-Luisمشاهده پروفایل

استاد پژوهش

• Materials Science
• Nanotechnology
• Microfluidics
• +۳ مورد دیگر

Prof. Josep Puigmartí-Luis is a Research Professor at the University of Barcelona (UB) since 2020, following an ERC Starting Grant in 2015 and an ICREA Research Professorship in 2019. He holds a master’s in Chemistry and Food Engineering from IQS (2003) and a PhD in Materials Science from ICMAB. His research focuses on functional materials synthesis, microfluidic technologies, and self-assembly processes, with applications in nanotechnology and biomedical engineering. Key awards include the Premi Antoni de Martí (2009), St. Jordi Award (2006), and ETH Fellowship (2008). His group, ChemInFlow, develops magnetic microrobots and piezoelectric catalytic systems for targeted therapies and environmental remediation. Educations: PhD in Materials Science, Institut de Ciència de Materials de Barcelona (ICMAB) Master in Chemistry and Food Engineering, Institut Químic de Sarrià (IQS), 2003 Research Interests: Synthesis of functional materials in solution/surfaces, microfluidic technologies, non-equilibrium assemblies, magnetic microrobotics, and piezoelectric catalysis. Articles Trends: Recent work emphasizes microfluidics-driven material synthesis, magnetic microrobot navigation, and piezoelectric catalysis for biomedical and environmental applications. Key themes include nanoreactors, targeted drug delivery, and functional MOF/COF materials. Awards: Premi Antoni de Martí i Franquès de Ciències Químiques (2009) ERC Starting Grant (2015) Rising Star Award (IEEE 3M-NANO 2023) Grants & Labs: ERC Starting Grant (2015), ICREA Professorship (2019). The ChemInFlow Group pioneers interdisciplinary approaches in materials synthesis and robotics, with collaborations spanning Europe and Asia. Labs/Teams: Leads the ChemInFlow Group at UB, focusing on microfluidic technologies and biomedical microrobotics.

Jiayin Yuanمشاهده پروفایل

استاد

• Materials Chemistry
• Polymer Science
• Carbon Materials
• +۲ مورد دیگر

Jiayin Yuan is a Professor of Materials Chemistry at Stockholm University, Department of Chemistry. He leads the Jiayin Yuan Research Group, focusing on functional polymers and carbons for environmental and energy applications. His work emphasizes sustainable materials, including porous polymers, carbon membranes, and energy storage systems. He holds an ERC Consolidator Grant (2022) and previously an ERC Starting Grant (2014), and directs the Stockholm Material Hub. His research spans CO2 capture, catalysis, and nanomaterials for renewable energy. He has held academic positions at Clarkson University (USA) and the Max Planck Institute (Germany), with a PhD from Germany (2009). Education: Bachelor's in Chemistry, Shanghai Jiao Tong University (2002) Master's in Chemistry, Germany (2004) PhD in Chemistry, Germany (2009) Research Interests: Synthesis of functional polymers, carbon materials, and their applications in environmental sustainability and energy. Current projects include CO2 capture via porous liquids, biomass-derived fertilizers, and bijel membranes for energy storage. Grants & Awards: ERC Consolidator Grant (2022) ERC Starting Grant (2014) Wallenberg Academy Fellow (2018) Advising & Labs: Supervises multiple PhD students and postdocs. His group collaborates on advanced materials for energy and environmental challenges. The Stockholm Material Hub (stockholmmaterial.com) fosters interdisciplinary research in materials science.

Penina Axelradمشاهده پروفایل

استاد

• Astrodynamics
• Satellite Navigation
• Global Navigation Satellite Systems (GNSS)
• +۵ مورد دیگر

Dr. Penina Axelrad is a University of Colorado Distinguished Professor and Joseph T. Negler Professor of Aerospace Engineering Sciences at the University of Colorado Boulder. She has held academic roles since 1992, serving as Department Chair from 2012–2017. A member of the National Academy of Engineering since 2019, her research focuses on GNSS technology, satellite navigation, and remote sensing applications. She has authored over 223 publications and secured $17.5M in research grants. Education: Ph.D., Aeronautics and Astronautics, Stanford University, 1991 S.M., Aeronautical and Astronautical Engineering, MIT, 1986 S.B., Aeronautical Engineering (Avionics Option), MIT, 1985 Research Interests: Global Navigation Satellite Systems (GNSS), multipath mitigation, GNSS reflectometry, orbital dynamics, and quantum sensing for Earth science. Her work bridges astrodynamics, satellite navigation, and environmental monitoring. Awards: Member, National Academy of Engineering (2019) Women In Aerospace Educator Award (2016) Institute of Navigation Samuel Burka Award (2012) AIAA Summerfield Book Award (2011) Advising & Grants: Advised numerous students (no names listed) and led major grants including NASA Quantum Pathways Institute and Sentinel-6 orbit determination projects. Active in Institute of Navigation leadership roles. Labs/Teams: Colorado Center for Astrodynamics Research (CCAR), Quantum Pathways Institute, and collaborative efforts on CubeSat atomic clock experiments.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۱۲ مورد دیگر

Hao Liu is a researcher affiliated with institutions like Chinese Academy of Sciences , Beihang University , and Stanford University . His work spans Computer Science , Artificial Intelligence , and Robotics . Key affiliations: National Space Science Center (Beijing), School of Astronautics (Beihang), Key Laboratory of Pervasive Computing (Tsinghua) Research interests include Machine Learning , Image Processing , Graph Neural Networks , and Wireless Communication Optimization His recent publications focus on: Advanced control systems for fuzzy models Medical imaging via hyperspectral analysis Transformer-based approaches in NLP and vision Quantum-safe and edge computing protocols

• Machine Learning
• Computer Vision
• Signal Processing
• +۶ مورد دیگر

Dongwook Kim is affiliated with the Korea Advanced Institute of Science & Technology (KAIST) as a faculty member in the Department of Business and Technology Management under the College of Business. His research spans multiple domains including machine learning, robotics, signal processing, and biomedical engineering. Key contributions in Computer Vision (CNN-based semantic segmentation, 3D point cloud analysis) Significant work in Hardware Design (energy-efficient processors, neuromorphic computing) Interdisciplinary expertise in Medical Imaging (bone age assessment, retinal biomarkers) and Cybersecurity (attack detection, network analytics) Publications since 2015 demonstrate sustained innovation in AI applications , Signal Processing , and Smart City Governance . His work often integrates theoretical advances with practical implementations in real-world systems. No scientific awards or student mentorship details are explicitly documented in the provided records.

Véronique Hosteمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Machine Learning
• +۷ مورد دیگر

Véronique Hoste is Senior Full Professor of Computational Linguistics at Ghent University's Faculty of Arts and Philosophy, where she serves as Department Head of Translation, Interpreting and Communication and Director of the LT3 language technology research team. She also holds the position of Research Director for the Faculty of Arts and Philosophy. Her educational background includes a PhD in Computational Linguistics from the University of Antwerp (2005) focused on optimization in machine learning for coreference resolution. Key research areas encompass machine learning for natural language processing, semantic and discourse modeling, including specialized work in event detection, entity/event coreference resolution, irony detection, and emotion analysis. Hoste's publication trends reveal strong interdisciplinary focus, with recent work bridging NLP with crisis communication, digital humanities, and ethical AI. Her team develops high-quality datasets (e.g., EmoTwiCS for emotion trajectories) and collaborates extensively with commercial partners on projects like SentEMO for aspect-based sentiment analysis. Current research emphasizes multimodal emotion analysis, fuzzy rough set methods for sentiment detection, and cross-document event coreference. Elected member of the Royal Flemish Academy of Belgium for Science and the Arts (KVAB) Francqui Chair appointment by Université Libre de Bruxelles (2023-2024) Co-founded LT3 spin-off AlfaSent (2024) for customer feedback analysis Authored first Dutch-language book on NLP: "Taaltechnologie ontrafeld" She actively supervises multiple PhD students on projects including Common-sense knowledge in irony detection (Common-sense), cross-document event coreference (Encore), and empathy modeling in conversational agents (FlandersAI). Her team secures funding through interdisciplinary collaborations like NewsDNA for news recommendation and METRICS for emotion trajectory analysis. Hoste also engages in public outreach through the "AI at school" initiative and advises on language technology integration in high school curricula. The LT3 laboratory under her leadership maintains strong industry partnerships and develops practical NLP tools including EmotioNL and Automatic Term Extraction systems, while advancing core research through projects like CLARIAH-VL for data curation.

Paul Westerhoffمشاهده پروفایل

استاد

• Environmental Geochemistry
• Food-Water-Energy Nexus
• Drinking Water Treatment
• +۳ مورد دیگر

Dr. Paul Westerhoff is a Regents' Professor and Fulton Chair of Environmental Engineering at Arizona State University's School of Sustainable Engineering and the Built Environment. He leads major NSF-funded research centers, including the Nanosystems Engineering Research Center for Water Treatment (NEWT) and the Science and Technologies for Phosphorus Sustainability (STEPS) Center. With over 400 journal publications (H-index >100), his work focuses on emerging contaminants, water treatment technologies, and nanomaterial fate. Awards include the 2023 National Academy of Engineering membership, 2020 A.P. Black Award, and 2019 NWRI Clarke Prize. Education: Ph.D., University of Colorado-Boulder (1995); M.S., University of Massachusetts-Amherst (1991); B.S., Lehigh University (1989). Research emphasizes water quality, sustainable engineering, and nanotechnology applications. Key areas include PFAS remediation, biofilm control via UV light, and atmospheric water harvesting. He serves as Associate Editor for Environmental Science & Technology . Recent projects include lithium monitoring in drinking water, semiconductor water use, and space-based UV disinfection systems. Over 80 students have graduated under his mentorship, recognized with ASU's 2015 Outstanding Doctoral Mentor Award. Awards span innovation (Water Research Foundation, 2024), teaching (Daniel Jankowski Legacy Award, 2021), and technical excellence (EPA STAA, 2019).

Benyamin Davajiمشاهده پروفایل

استادیار

• Integrated Microsystems
• MEMS
• Nanofabrication
• +۴ مورد دیگر

Benyamin Davaji serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University, where he joined in January 2022. He holds additional appointments as a Center Member of The Plastics Center and Core Faculty of the Institute for NanoSystems Innovation (NanoSI). His work bridges microsystems engineering, nanofabrication, and data science to develop next-generation sensing technologies. Dr. Davaji's educational background includes: Postdoctoral Associate in Electrical and Computer Engineering at Cornell University (2016-2021) Ph.D. in Electrical Engineering from Marquette University (2016) His research centers on integrated microsystems with emphasis on mechanical wave-based sensing and computation, ultrasound transducers, bio-interfaces, and microcalorimetry. The Autonomous Integrated Microsystems (AIMS) Laboratory combines physics with AI/ML to invent novel sensors and computational devices through advanced nanofabrication. Key thrusts include power-sustaining architectures and analog/digital computational integration. Recent publications (2024-2025) reveal strong trends in MEMS/NEMS optimization using digital twins, plasmonically enhanced infrared detection, ferroelectric actuators for high-speed scanning, and ultrasound-enabled metrology. His work increasingly integrates machine learning for design automation and process optimization across semiconductor manufacturing and flexible hybrid electronics. Dr. Davaji advises graduate students including Yilmaz Arin Manav (PhD'28), who won the FLEX 2024 Future Student Poster Award. He has secured over $3 million in competitive funding as PI/Co-PI, including a $550k NSF grant for MEMS actuators, $330k NSF grant for quantum detectors, and $2M DARPA grant for inertial sensors. He directs the interdisciplinary AIMS Laboratory focused on MEMS, ultrasound, and calorimetric technologies. The lab collaborates extensively with NanoSI and The Plastics Center, developing autonomous microsystems for biomedical, environmental, and industrial applications through advanced manufacturing techniques.