جستجوی استاد راهنمای دانشگاهی

Shekhar Bhansaliمشاهده پروفایل

استاد

• Bio sensing
• Micro/nanotechnology
• Alternative energy
• +۳ مورد دیگر

Dr. Shekhar Bhansali is the Alcatel-Lucent Professor and Chair of the Department of Electrical & Computer Engineering (ECE) at Florida International University (FIU) since 2011. He holds a BS in Metallurgical Engineering (1987), MS in Aircraft Production Engineering (1991), and PhD in Electrical Engineering (1997). His research focuses on bio sensing, nanotechnology, alternative energy, and oceanographic sensing. He leads the Bio-MEMS and Microsystems Lab, holds 36 U.S. patents, and has secured funding from NSF, industry partners, and national labs like Sandia and Los Alamos. Dr. Bhansali has grown the ECE department by launching programs like the online Master of Science in Network Security and the B.S. in Internet of Things (first in the U.S.). He co-directs FIU’s Bridge to the Doctorate program, fostering STEM diversity. Awards include the 2014 FIU Top Scholar Award and 2018 AAAS Fellowship. Education: PhD in Electrical Engineering, RMIT University (1997) MS in Aircraft Production Engineering, IIT Madras (1991) BS in Metallurgical Engineering, MREC, Jaipur (1987) Research Interests: Bio-sensing, nanotechnology, alternative energy, oceanographic sensors, and materials science. Key Achievements: 36 U.S. patents and 7 invention disclosures Co-authored 139 journal papers and 200+ conference papers Recruited 14 faculty members and expanded doctoral programs Partnership with Florida Power & Light for solar energy research His work bridges innovation and societal impact, with sensors for wound monitoring, environmental sensing, and energy efficiency. Recent studies include AI-driven sensor networks for precision agriculture and wearable devices for real-time health diagnostics. Awards & Recognition: 2018 AAAS Fellow 2014 FIU Top Scholar Award Multiple mentorship awards (2003–2011) Advising & Grants: Oversaw education of over 150 graduate students via NSF-IGERT and Sloan programs. Secured grants totaling millions for interdisciplinary research. Expanded FIU’s engineering programs and faculty size. Labs & Teams: Leads the Bio-MEMS Lab, advancing micro/nano sensors and lab-on-a-chip technologies. Collaborates with industry and national labs on sensor development and energy projects.

Vedhus Hoskereمشاهده پروفایل

استادیار

• Image Analysis
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Vedhus Hoskere is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Houston. His research focuses on interdisciplinary areas at the intersection of civil engineering, computer science, and robotics, emphasizing automated infrastructure inspection, machine learning, and AI-driven solutions for structural health monitoring. He holds the Liu Huixian Earthquake Engineering Scholarship (2018) for his work on automated post-earthquake building inspections. Key research areas include image analysis, machine learning, robotics, scientific computing, and visualization. His work integrates computer vision with civil infrastructure challenges, such as flood modeling, structural damage assessment, and autonomous inspection systems using drones and robotics. Notable projects include developing digital twin frameworks for bridges, synthetic environment testing for inspection algorithms, and semi-supervised learning for disaster damage analysis. His recent publications highlight advancements in transformer networks for instance segmentation, physics-informed generative models for damage assessment, and AI-driven hurricane resilience strategies. Hoskere collaborates on platforms like InstaDam for automated damage segmentation and explores Bayesian neural networks for quantifying uncertainties in infrastructure monitoring. Key Awards: Liu Huixian Earthquake Engineering Scholarship (2018) Advising & Labs: While no specific student names or grant details are provided, his research group likely focuses on robotics, computer vision, and AI applications in civil engineering. He contributes to open-source tools like the InstaDam platform and collaborates with institutions like the University of Illinois and USACE.

Colleen Baileyمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Signal Processing
• +۵ مورد دیگر

Colleen Bailey is an Assistant Professor in the Department of Electrical Engineering at the University of North Texas. Her research focuses on the intersection of machine learning, signal processing, and energy systems, with applications spanning biomedical imaging, environmental monitoring, and edge computing. Research Interests: Machine learning optimization for edge devices Entropy-based image compression techniques Attention mechanisms in vision transformers Urban air pollution prediction models Land surface temperature super-resolution Publication Trends: Recent works emphasize compact AI architectures (e.g., MHATT network, entropy bottleneck models) for efficient processing in resource-constrained scenarios. Applications include medical imaging (Chest X-ray analysis), environmental monitoring (air quality, Martian dust storms), and energy systems (household prediction, power quality classification). Contact: Email: Colleen.Bailey@unt.edu Office: Discovery Park B252 Phone: 940-891-6874

Asmus Skar Christiansenمشاهده پروفایل

دانشیار

• Pavement Engineering
• Geotechnical Engineering
• Sensing Technologies
• +۴ مورد دیگر

Asmus Skar Christiansen is an Associate Professor in Pavement Engineering at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU Sustain). He serves as Head of Study for the Nordic Master in Cold Climate Engineering programme and lectures on pavement engineering, Arctic road construction, and foundation design. His academic career at DTU spans from Postdoc researcher (2017-2019) to Assistant Professor (2020-2023) and current Associate Professor position since 2023. His research centers on pavement technology and geotechnics with specialization in: Development of advanced testing and modeling techniques for pavements Integration of modern sensing technologies in civil infrastructure Computational mechanics for soil-structure interaction Sustainable materials for cold climate engineering Recent work demonstrates a clear shift toward IoT-enabled monitoring systems and data-driven pavement assessment, with 80% of 2023-2025 publications focusing on sensor integration and machine learning applications. Notable scientific contributions include: Creation of open-source datasets (LiRA-CD, RIVA) for road condition modeling Development of thermomechanical models for heated pavements Innovations in waste soil reuse for infrastructure He actively supervises PhD candidates across multiple projects including GREENPIPE (self-sensing pipe systems) and urban pavement analysis, while maintaining industry consultancy through COWI A/S collaborations. Christiansen also contributes to sustainable infrastructure through DTU's alignment with UN SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities).

• Wireless Sensor Networks
• Cyber-Physical Systems
• Network Protocols
• +۳ مورد دیگر

John Harrison Kurunathan is an Integrated PhD Researcher affiliated with the CISTER Research Centre at the University of Porto, Portugal. He holds a PhD in Electrical and Computer Engineering (2021), a Master's in Very Large-Scale Integration (2014), and a Bachelor's in Electronics and Communication (2012). Education: PhD (2021) - University of Porto, Portugal MSc (2014) - SSN College of Engineering, Anna University BSc (2012) - SRM University His research focuses on Wireless Sensor Networks (WSNs) , Cyber-Physical Systems (CPS) , and Automotive Networks , with an emphasis on Quality-of-Service (QoS) optimization, secure communication, and vehicular platooning. Notable projects include SafeCOP for safety-related CO-CPS and work on IEEE 802.15.4e DSME networks. Recent publications (2023-2025) span areas like Visible Light Communication , Vehicular Security , and Machine Learning in UAV Operations , reflecting his interdisciplinary work bridging embedded systems and transportation technologies. Scientific Awards: Best oral communication Award (in ex aequo) at DCE 2019 Reviewing Roles: Conference: ICCPS, EWSN, MSN, RTN Journal: IEEE ACCESS, IEEE Transactions on Vehicular Technology, ACM Sigbed Harrison is actively involved in workshops and conferences, including chairing roles at WIN-WIN-4S 2024 and technical demonstrations at WoWMoM 2023. His work appears in venues like IEEE Transactions on ITS, IEEE COMST, and PDP 2025.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Jin Luمشاهده پروفایل

استادیار

• Machine Learning
• Optimization
• Bio-informatics
• +۶ مورد دیگر

Jin Lu is an Assistant Professor at the University of Georgia's School of Computing, part of the Franklin College of Arts & Sciences. He earned his Ph.D. (2019) and M.S. (2019) in Computer Science and Engineering from the University of Connecticut. Prior to his current role, he served as an Assistant Professor at the University of Michigan–Dearborn (2019–2023). Educational Background: Ph.D. in Computer Science and Engineering, University of Connecticut, 2019 M.S. in Computer Science and Engineering, University of Connecticut, 2019 Research Interests: Dr. Lu focuses on machine learning, optimization, bio-informatics, and smart mobility. His work spans federated learning, healthcare applications (e.g., depression and BMI monitoring), IoT systems, and computer vision. Recent projects explore AGI's potential in medical and educational contexts, leveraging models like CycleGAN and reinforcement learning. Grants & Funding: Develop digital brains to advance portable diagnosis of neurological conditions (Google, 2025) Lab/Teams: While specific lab affiliations are not explicitly stated, his research involves collaborations in interdisciplinary areas such as health informatics and smart mobility.

• Cybersecurity
• Explainable AI (xAI)
• Machine Learning
• +۵ مورد دیگر

Aleksandra Pawlicka is a prominent researcher specializing in cybersecurity , explainable AI , and disinformation detection . Her work bridges ethical considerations with technical innovations in network security and AI applications , particularly focusing on the intersection of human-robot collaboration , fake news analysis , and IoT vulnerabilities . Key research areas: Cybersecurity Ethics, AI Explainability, Disinformation Mitigation Notable collaborations: Marek Pawlicki, Rafal Kozik, Michal Choras Her publications analyze xAI challenges in intrusion detection, machine learning for network security, and ethical dilemmas in cybersecurity. She contributes to projects like ULTIMATE (robotic AI) and SWAROG (fake news detection), emphasizing transparency and practical implementation. Recent work explores adversarial attacks against AI systems , few-shot learning for cybersecurity, and neuro-symbolic reasoning for trustworthy AI. Her 2023 study on ChatGPT's impact on scientific communication highlights evolving technological and ethical landscapes in academic practices.

Pietro Manzoniمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Mobile Wireless Networks
• LPWAN Technologies
• +۷ مورد دیگر

Pietro Manzoni is a Professor of Computer Engineering at the Polytechnic University of Valencia (UPV), Spain. He holds a Master's from the University of Milan (1989) and a Ph.D. from Politecnico di Milano (1995). His research focuses on IoT, edge computing, and wireless networks, with emphasis on TinyML, LPWAN, and edge-cloud systems. He coordinates the Computer Networks Research Group (GRC) and is active in IEEE committees. Education includes a Master's in Computer Science (Università degli Studi di Milano, 1989) and a Ph.D. in Computer Science (Politecnico di Milano, 1995). He interned at Bellcore Labs (USA, 1992–1993) and ICSI (USA, 1994). Research interests span IoT applications, resource-constrained devices, and distributed systems. His work prioritizes empirical validation through prototypes. Teaching includes courses on Networks and Security, Intelligent IoT Systems, and IoT fundamentals in Spanish programs. Publications emphasize IoT protocols, UAV swarms, and TinyML. No scientific awards listed, but over 130 theses advised. Coordinates GRC projects and contributes to editorial boards and conferences.

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.

Ayusman Senمشاهده پروفایل

استاد

• Nanotechnology
• Materials Science
• Chemical Biology
• +۷ مورد دیگر

Ayusman Sen is the Verne M. Willaman Professor of Chemistry and Distinguished Professor of Chemistry at Pennsylvania State University. He holds a joint appointment in the Department of Chemical Engineering. His research focuses on self-powered nano/micromotors, dynamic materials, and enzyme-driven systems, with applications in smart materials and active matter. Sen’s work integrates chemical synthesis, catalytic energy harvesting, and emergent phenomena to create adaptive systems capable of performing complex tasks. Education: B.Sc. (Honours), University of Calcutta, India (1970) M.Sc., Indian Institute of Technology, Kanpur, India (1973) Ph.D., University of Chicago, USA (1978) Research Interests: Design of self-powered nanomotors and micropumps Chemically controlled assembly and motion of colloidal systems Enzyme cascade systems for programmable behavior Active matter and collective dynamics Key Contributions: Pioneered enzyme-powered micromotors for biomedical and environmental applications Developed theoretical frameworks for chemotactic assembly and non-equilibrium systems Engineered autonomous fluid-pumping systems using multi-enzyme networks Awards and Honors: Langmuir Lecture Award (American Chemical Society) Humboldt Prize (Alexander von Humboldt Foundation) Fellow of the Royal Society of Chemistry Paul J. Flory Award (IBM) Labs and Teams: His research group, the Sen Research Group, focuses on interdisciplinary projects at the interface of chemistry, materials science, and engineering. Current efforts explore light-driven systems, programmable fluidics, and bioinspired materials.

• Machine Learning
• Computer Vision
• Human Behavior Analysis
• +۵ مورد دیگر

Dr. Harshala Gammulle is a Research Fellow at Queensland University of Technology (QUT), School of Electrical Engineering & Robotics. She holds a PhD in Computer Vision from QUT (2019), receiving the QUT Executive Dean's Commendation for Outstanding Doctoral Thesis. Her expertise spans machine learning, computer vision, and spatio-temporal modeling for human behavior understanding. She leads interdisciplinary projects with funding from DST Group, SmartSat CRC, QLD DESI, and others. Research focuses include: human action recognition, medical anomaly detection, satellite image analysis, and AI for environmental monitoring. Key projects involve quantum-classical hybrid ML for biomedical signal analysis, disaster forecasting via hyperspectral data, and autonomous combat vision systems. She has supervised PhD/MPhil candidates in ML and quantum hybrid ML. Education: PhD (Computer Vision, QUT 2019), BSc (University of Peradeniya, Sri Lanka). Awards: WiT Emerging Achiever Technology Award finalist (2021), University Award for Academic Excellence (2015). Teaching includes units like Digital Signals and Image Processing (EGH444), and Computing & Data for Engineers (EGB103). Current grants involve QLD DESI, SmartSat CRC, and Rheinmetall Defence Australia collaborations. Active in labs like SAIVT and QUT's Early Career Research schemes.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Christian Eichhorn is an Assistant Professor in the Department of Computer Science at Technical University of Munich, specializing in Human-Computer Interaction, Virtual Reality, and Augmented Reality applications. His research primarily focuses on developing serious games and immersive technologies for healthcare, education, and older adults. He has established a strong collaborative network, particularly with David A. Plecher and Gudrun Klinker, resulting in numerous publications in top HCI and VR venues. Dr. Eichhorn's research interests center around creating accessible and engaging technology applications. His work demonstrates particular expertise in developing serious games for various educational purposes (language learning, history education), healthcare applications (rehabilitation, dementia care), and technologies specifically designed for older adults. His research combines technical innovation in AR/VR systems with practical applications addressing real-world challenges in healthcare and education. Analysis of his recent publications (2022-2025) reveals a consistent focus on practical applications of immersive technologies. His work spans educational tools for programming and language learning, healthcare applications for rehabilitation and clinical training, and specialized technologies for older adults. The research demonstrates a strong interdisciplinary approach, bridging computer science with healthcare, education, and gerontology. His technical contributions include innovations in AR/VR system design, collaborative environments, and novel interaction techniques. Dr. Eichhorn has been actively involved in organizing workshops and contributing to major conferences in the VR/AR field, including IEEE VR and ISMAR. His collaborative approach is evident in his extensive co-authorship network spanning multiple institutions. His laboratory work focuses on developing practical AR/VR applications, with particular emphasis on creating systems that bridge virtual and physical experiences. Current projects include serious games for health behavior change, rehabilitation assessment tools using wearable sensors, and social VR environments for older adults.

Wang Xuanمشاهده پروفایل

استادیار

• Chemistry Education
• STEM Education
• Porous Materials
• +۳ مورد دیگر

Wang Xuan is an Instructional Assistant Professor at Texas A&M University's Department of Chemistry. She teaches General and Organic Chemistry to diverse student populations, emphasizing foundational science education for first-year students. Her research focuses on applying porous materials in environmental contexts and mentoring underrepresented students in STEM. She has held leadership roles in the American Chemical Society South Texas Local Section and organizes academic engagement initiatives like poster symposiums. Education includes studies at the University of Texas-Dallas (2021–Present), Texas A&M University (2011–2016), and Oklahoma Christian University (2008–2011). Her professional experience includes roles at Texas A&M (2018–Present) and Colorado State University-Pueblo (2017–2018). Research interests span STEM education, porous material applications, and environmental chemistry. Key publications include works on metal-organic frameworks (MOFs) for sensing, catalysis, and carbon capture. She has received multiple grants supporting educational initiatives and research. Awards include Texas A&M Higher Education Center grants (2020–2022) and travel awards from the American Chemical Society. She advises the McAllen Aggie STEM Club and leads initiatives to enhance student success through skill-building workshops.

Steve DiMarcoمشاهده پروفایل

استاد

• Physical Oceanography
• Operational Oceanography
• Climate Science
• +۳ مورد دیگر

Steve DiMarco is a Professor of Oceanography and courtesy Professor of Ocean Engineering at Texas A&M University, serving as Director of the Geochemical and Environmental Research Group (GERG). He holds a Ph.D. in Physics from the University of Texas at Dallas (1991), with prior academic roles including Associate Professor (2004-2013) and Research Scientist positions at Texas A&M. His research focuses on Physical Oceanography, Observing Systems (e.g., buoys, gliders, HF radar), and Marginal Sea dynamics, particularly in the Gulf of Mexico. He leads projects addressing coastal hypoxia, hurricane impacts, and ocean circulation patterns. Key research areas include the Loop Current system, oceanographic responses to tropical cyclones, and the mechanisms controlling Gulf hypoxia. His work integrates observational data from autonomous vehicles and radar networks with numerical modeling. Notable awards include the 2020 Marine Technology Society Fellowship and the 2009 Texas A&M Teaching Award. DiMarco has advised over 30 graduate students and postdoctoral researchers, focusing on topics like glider-based observations, ocean mixing, and biogeochemical processes. His research teams collaborate with industry and government agencies, contributing to projects like the Gulf of Mexico Coastal Ocean Observing System (GCOOS) and the Texas Automated Buoy System (TABS). The THEMO Observatory, a transnational partnership, monitors the Eastern Mediterranean Sea's currents and ecosystems. Recent publications emphasize Gulf of Mexico dynamics, including Loop Current eddy interactions with hurricanes and the role of stratification in hypoxia. His work bridges fundamental science with applied challenges like oil spill response and coastal management.