جست‌وجوی استاد و پژوهشگر

• Chemical Biology
• Fluorescence Guided Surgery
• Drug Delivery
• +۵ مورد دیگر

Prof. Donal O'Shea is a Professor in the Department of Chemistry at the Royal College of Surgeons in Ireland (RCSI). Previously, he held roles including Head of Pharmaceutical & Medicinal Chemistry at RCSI and Associate Professor/Senior Lecturer at University College Dublin (UCD). He earned a PhD (1993) and BSc (1990) in Chemistry from University College Galway. His research focuses on synthesizing complex molecules for applications in fluorescence-guided surgery , light-activated anti-cancer agents , and nanomedicine . Key areas include near-infrared fluorophores , drug delivery systems , and collaborations with medical imaging. He has led initiatives like the Centre for Synthesis & Chemical Biology at UCD and contributed to projects on exosome imaging and anti-microbial agents. Recent publications highlight innovations in fluorescence imaging probes , vaping health risk modeling , and bioorthogonal reactions . His work aligns with UN Sustainable Development Goal 3 (Good Health). Awards include the 2012 North/South Ireland Lectureship , Teacher of the Year (2008, 2011), and multiple visiting professorships. He has secured grants totaling millions, including SFI-funded projects on super-resolution imaging and colorectal cancer diagnostics . Prof. O'Shea oversees RCSI's Chemistry Department and collaborates internationally. His lab develops tools for real-time cellular imaging and targeted drug delivery , with applications in surgery and oncology.

• 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.

Mahsa Salehiمشاهده پروفایل

مدرس ارشد

• Data Mining
• Machine Learning
• Time Series Analysis
• +۵ مورد دیگر

Mahsa Salehi is a Senior Lecturer in the Department of Data Science & AI at Monash University’s Faculty of Information Technology. She holds a PhD in Computer Science from the University of Melbourne and previously served as a postdoctoral researcher at IBM Research Australia. Her research focuses on data mining, machine learning, and time series analysis, with applications in healthcare, cybersecurity, and smart grids. Education: PhD in Computer Science, University of Melbourne (2016) MSc in Software Engineering, Amirkabir University of Technology (2009) BSc in Information Technology & Computer Engineering, Amirkabir University of Technology (2008/2006) Her key research interests include multi-dimensional time series analysis, anomaly detection, brain-inspired machine learning, and non-stationary data learning. She has led or contributed to over 40 research outputs, including high-impact papers on anomaly detection frameworks (e.g., CARLA) and EEG representation learning (EEG2Rep). Her work bridges theoretical advancements with practical applications, such as detecting urinary anomalies in seniors and securing smart grid systems against cyberattacks. Dr. Salehi has secured significant grants, including AU$246K from ARENA (2019–2021) and AU$30K from Emotiv Research (2022–2024). She is an Associate Editor of the ACM Transactions on Knowledge Discovery from Data and has been recognized with awards like the ICDM 2022 Best Paper Runner-Up and IBM’s Manager’s Choice Award (2016). Grants & Projects: Privacy-Preserving Machine Learning (CSIRO Next Gen, 2023–2027) AI for Clean Energy & Sustainability (Monash, 2023–2027) Deep Learning for Brain EEG Analysis (PhD Top-Up, 2022–2025) Her contributions extend to editorial and patent activities, including roles at IBM Research and collaborative projects with industry partners like Emotiv.

Marco Consalesمشاهده پروفایل

دانشیار

• Electronics
• Optics
• Fiber Optic Sensors
• +۳ مورد دیگر

Marco Consales is an Associate Professor at the Department of Engineering, University of Sannio. His research focuses on fiber optic sensors, with applications in structural health monitoring, radiation detection, and biomedical sensing. He has collaborated with CERN on projects involving radiation-tolerant sensors and beam pipe structural monitoring. Key areas include lab-on-fiber technology for cancer biomarker detection, soil moisture sensing, and aerospace structural monitoring. Education: Formal degrees not explicitly listed, but his academic position implies doctoral qualifications in Engineering/Electronics. Research Interests: Fiber optic sensors, nanotechnology integration, biomedical applications, environmental monitoring, and aerospace engineering. His work spans over 250 publications, with notable contributions in optical fiber meta-tips, radiation dosimetry, and soil water content monitoring. He has developed innovative sensors for CERN experiments and precision agriculture. His lab's work includes lab-on-fiber platforms for point-of-care diagnostics and advanced materials characterization.

• 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.

• Robotics
• Machine Learning
• IoT Applications
• +۴ مورد دیگر

Senthil Arumugam Muthukumaraswamy is an Associate Professor at the School of Engineering & Physical Sciences, Heriot-Watt University. His research focuses on robotics, machine learning, IoT applications, and automation, with contributions to the UN Sustainable Development Goals in areas like healthcare and agriculture. His work spans smart navigation systems for healthcare robots, surveillance systems for livestock health, facial recognition algorithms, and automated agricultural solutions like aquaponics and vertical farming. He explores path-planning algorithms for firefighting and military robotics, emphasizing AI-driven problem-solving in hazardous environments. Research trends include integrating bio-inspired algorithms, neural networks, and IoT for real-world applications such as elderly health monitoring, smart home automation, and energy-efficient systems. Collaborations span multiple countries, reflecting global interest in his interdisciplinary approaches. No scientific awards are listed, but his extensive publication record highlights active grant-funded research in robotics, automation, and renewable energy. He leads projects in robotics design, control systems, and sustainable farming technologies, contributing to both academic and industry partnerships. Labs and teams include collaborations on robotics, AI, and IoT systems, though specific lab names are not detailed in the provided texts.

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.

• Robotics
• Human-Robot Interaction
• Autonomous Agent Systems
• +۳ مورد دیگر

Mauro Dragone is an Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems. He holds a BSc in Computer Science from Bologna University (1999) and a PhD from University College Dublin (2009). Before academia, he worked as a software developer and project manager. His research focuses on robotics, human-robot interaction, IoT, and Ambient Assisted Living (AAL), with leadership roles in EU projects like METRICS/HEART-MET and the OpenAAL initiative. He co-directs the MSc Robotics program and established the Robotic Assisted Living Tested lab within the UK National Robotarium. Key research interests include assistive robotics for frailty, healthcare robotics, and self-adaptive robotic systems. Notable contributions include the FP7 RUBICON project (2011-2014) and the Cognitive Assistive Robotic Environment (CARE) group. He has received awards such as the 2024 Principal's Research Impact Award and 2022 Research Team of the Year. Recent articles emphasize healthcare applications, modular robotics, and trustworthy AI. His work aligns with UN SDGs addressing healthy aging and sustainable cities.

Yue Huمشاهده پروفایل

استادیار

• Robotics
• Human-Robot Interaction
• Assistive Robotics
• +۳ مورد دیگر

Yue Hu is an Assistant Professor at the University of Waterloo, affiliated with the Faculty of Engineering. His research focuses on Human-Robot Interaction (HRI), assistive robotics, and control systems with a particular emphasis on safety, adaptability, and user experience. Key areas include robot emotional expressions, physical interaction safety, and real-time systems for social robots. He leads the Active and Interactive Robotics Lab , developing solutions for mobility assistance, teleoperation systems, and cybersecurity in robotics. His work integrates biomechanical modeling, computer vision, and machine learning to create robots that better understand and adapt to human needs. Notable projects include real-time pose estimation for mobility support, encrypted network traffic analysis for robot security, and personality shaping in social robots. He emphasizes ethical design and human factors in robotics, conducting studies on refugee education and unanticipated robot actions. Yue Hu holds a full-time faculty position and collaborates with industry and academic partners to advance assistive technologies and interactive systems. His research bridges theoretical foundations with practical applications, aiming to improve quality of life through innovative robotic solutions.

Fatima AlZahra'a Alatraktchiمشاهده پروفایل

دانشیار

• Biomarkers
• Electrochemical Analysis
• Prostate Cancer Diagnostics
• +۵ مورد دیگر

Fatima AlZahra'a Alatraktchi is an Associate Professor at Roskilde University's Department of Science and Environment. Her research focuses on biomarker detection, electrochemical analysis, and biomedical sensor development, with applications in prostate cancer diagnostics, pregnancy hormone monitoring, and microbial pathogen detection. She is affiliated with the Molecular and Medical Biology Centre for Mathematical Modeling – Human Health and Disease. Key research interests include nanotechnology-driven biosensors, urinary biomarkers for disease staging, and the development of point-of-care diagnostic tools. She has pioneered rapid electrochemical methods for detecting pathogens like Pseudomonas aeruginosa and has contributed to improving early-stage cancer detection through amino acid profiling. Alatraktchi leads the project Investigating the role of neurotransmitters in pancreatic development and islet cell function (2024–2027), combining 4D bioimaging with neurotransmitter sensing. Her work has been featured in 53 media outlets, addressing topics like gender representation in STEM and school-based health testing solutions. Notable awards include the 2019 Forbes 30 Under 30, 2017 Lundbeck Foundation Talent Prize, and 2019 PhD of the Year Award. Her research has produced 36 peer-reviewed publications and one patent, emphasizing translational applications in healthcare technology.

Ravinder Dahiyaمشاهده پروفایل

استاد

• Flexible Printed Electronics
• Soft Robotics
• Electronic Skin
• +۶ مورد دیگر

Ravinder Dahiya is a Professor in the Department of Electrical and Computer Engineering at Northeastern University's College of Engineering. He is also an Affiliated Researcher at the Dublin Innovation Institute. His research focuses on flexible printed electronics, soft robotics, electronic skin, and sustainable technologies, emphasizing biodegradable materials and energy-efficient systems. Education: PhD in Microelectronics from the Italian Institute of Technology (2009). Awards include Fellowships from IEEE, The Royal Society of Edinburgh, and The Institution of Engineers in Scotland, alongside the Microelectronic Engineering Young Investigator Award (2016). Research interests span tactile sensing, haptics, and wearable systems, with a lab (BEST Group) developing multidisciplinary solutions for societal challenges like electronic waste reduction. Key projects include self-powered energy harvesters and biodegradable triboelectric nanogenerators. Recent grants include a $230,000 NSF EAGER award for robotic e-skin integration. Media highlights include features in TechXplore and Chemical & Engineering News, along with speaking roles at global summits like the AI for Good Global Summit (2023). Labs/Teams: Bendable Electronics and Sustainable Technologies (BEST) Group, focusing on printed electronics, material science, and robotics.

Pablo Callejaمشاهده پروفایل

پژوهشگر ارشد

• Natural Language Processing
• Medical Informatics
• Legal Informatics
• +۵ مورد دیگر

Pablo Calleja is a Research Fellow at the Faculty of Computer Science, Polytechnic University of Madrid (UPM), where he has been a member of the Ontology Engineering Group (OEG) since March 2014. His research focuses on Natural Language Processing (NLP), medical terminology mapping, and legal domain applications. He holds a degree in Computer Engineering from San Pablo CEU University (2013) and has prior industry experience as a software developer at IECISA (2008–2011) and a collaboration grant at the Open Access Classroom, San Pablo CEU University (2011–2013). Key contributions include projects like Drugs4covid for pandemic drug discovery, TermitUp for terminological enrichment, and esT5s , a Spanish text summarization model. His work spans legal knowledge graphs, multilingual compliance systems, and NER techniques for academic content analysis. He has also explored accessibility multimedia services and semantic graph applications in tourism ( DBtravel ). Professional roles include collaboration grants at UPM and active participation in interdisciplinary projects such as SNOMED-CT annotation for medical technical sheets. Research trends emphasize cross-domain adaptation (e.g., K-Flares), data augmentation (Widaug), and multilingual NLP solutions. Advising and grants: His current position is supported by a collaboration grant at OEG. Earlier grants include work at San Pablo CEU University. No formal advisees are listed, but he contributes to collaborative research teams. Labs and teams: Core member of the Ontology Engineering Group (OEG), focusing on knowledge representation, NLP, and applied informatics in healthcare and law domains.

• Eye Tracking Methodology
• Human-Computer Interaction
• Computer Graphics
• +۵ مورد دیگر

Andrew T. Duchowski is a Professor at Clemson University, specializing in Eye Tracking Methodology, Human-Computer Interaction, and Computer Graphics. His work spans over two decades with significant contributions to gaze-based interaction systems, foveated rendering, and cognitive load measurement. He authored three editions of the influential textbook Eye Tracking Methodology (Springer, 2003/2007/2017). Duchowski's research integrates eye movement analysis with applications in virtual reality, medical imaging (e.g., colonography viewers), and aviation safety. He actively collaborates with institutions globally and serves on editorial boards for journals like Proceedings of the ACM on Human-Computer Interaction . His recent projects include developing real-time gaze analytics pipelines and exploring entropy-based metrics for visual attention analysis. Publications (selected 15 recent): Focus on advancing gaze interaction in immersive environments, optimizing 3D visualization, and measuring cognitive load through pupillary activity and microsaccades. Key co-authors include Krzysztof Krejtz, Matias Volonte, and Donald House.