جستجوی استاد راهنمای دانشگاهی

Edoardo Milanaمشاهده پروفایل

استاد

• Soft Robotics
• Biomimetics
• Microfabrication
• +۳ مورد دیگر

Jun.-Prof. Dr. Edoardo Milana is a Principal Investigator at the Cluster of Excellence livMatS and the Freiburg Center for Interactive Materials and Bioinspired Technologies (FIT), University of Freiburg. He leads projects on 'Inflatable Snapping Metamaterials for Next Generation Soft Machines' and 'SNAPVALVE - Soft snap-through electromechanical valves for autonomous soft machines.' His research focuses on soft robotics, biomimetics, microfabrication, and mechanics, with emphasis on metamaterials for actuation and sensing. Current positions include leadership in livMatS and FIT, where he oversees the 'Demonstratoren' (demonstrators) unit. He supervises doctoral researcher Xin Li and postdoc Dr. Hugo Oliveira. His work bridges mechanical engineering, material science, and robotics, addressing challenges in autonomous systems and bioinspired design. Key projects include METAINFLATE for morphological control and SNAPVALVE for valve innovation. His lab develops monolithic meta-origami actuators, symmetry-breaking metamaterials, and proprioceptive sensors. Research outputs span journals like Science Robotics and Advanced Intelligent Systems , with a focus on nonlinear inflatable systems and biomimetic applications.

Iain Parnumمشاهده پروفایل

پژوهشگر ارشد

• Marine Acoustics
• Seafloor Mapping
• Acoustic Remote Sensing
• +۵ مورد دیگر

Dr. Iain Parnum is an Adjunct Research Fellow at Curtin University’s School of Earth and Planetary Sciences, within the Faculty of Science and Engineering. His primary research focuses on acoustic remote sensing of marine environments, including seafloor mapping, water column analysis, and marine mammal detection. He is actively involved in developing acoustic technologies for habitat characterization and has contributed to projects like the AUSSEABED national seabed mapping initiative. Research Interests: Seafloor mapping using multibeam, sidescan, and single-beam sonar systems Acoustic data processing and software development Marine mammal monitoring via passive and active acoustic techniques Seagrass and sediment property analysis through acoustic backscatter Underwater photogrammetry and novel imaging device workflows Publications Trends: His recent work emphasizes fish chorus acoustics, beaked whale presence detection, and the integration of acoustic methods with environmental variables. Key contributions include advancing underwater noise monitoring tools and improving seabed classification techniques. Affiliations: Chair of the WA Division of the Australian Acoustical Society; Federal Councillor of the Australian Acoustical Society. Technical Contributions: Developed open-source data-logging devices and calibration frameworks for marine surveys. Collaborated on projects like the Perth Canyon soundscape analysis and coral reef evolution studies in the Kimberley region.

• Artificial Intelligence
• Machine Learning
• Edge Computing
• +۴ مورد دیگر

Sergio Moreschini is a Postdoctoral Researcher in Computing Sciences, focusing on Artificial Intelligence, Edge Computing, and MLOps. His research explores the integration of AI techniques in microservices, cloud-edge continuum systems, and distributed home automation frameworks. He has contributed to foundational studies such as a Systematic Mapping Study on AI in Microservices Life-Cycle and developed frameworks like Flexconnect for mobile computational offloading. Education: He holds a Bachelor of Science in Technology (2012) and a Higher-Degree in Computing from Università Degli Studi Roma Tre (2016). His work aligns with UN Sustainable Development Goal 4 (Quality Education) through contributions to educational tools and methodologies. Research Interests : Moreschini investigates AI lifecycle management, edge-cloud system orchestration, vulnerability analysis in open-source components, and generative AI applications in software architecture. Key areas include fault-tolerant distributed systems, cognitive cloud continuum frameworks, and MLOps tool ecosystems. Recent Trends in Publications : Recent work emphasizes MLOps adoption challenges, self-organizing edge computing for visual SLAM, and best practices in resource provisioning for cognitive systems. He has explored trade-offs between continuous training and transfer learning in edge environments, and evaluated vulnerability severity metrics in open-source software. Awards : Won the Best Paper Award in 2022 for contributions to industrial edge service scheduling. Data Contributions : Co-created datasets like RARE (cloud-native memory anomalies) and CIVIT (integral microscopy recordings). His collaborative projects include the 6GSoft initiative for edge-cloud continuum systems and the OSSARA tool for open-source component risk assessment. Active in international conferences like IoT and SEAA, he bridges academic research with industrial applications in edge computing and AI infrastructure.

Christophe D'Enfertمشاهده پروفایل

استاد

• Medical Mycology
• Fungal Pathogenesis
• Host-Pathogen Interactions
• +۹ مورد دیگر

Christophe D'Enfert is a Professor at the Institut Pasteur in Paris and Head of the Fungal Biology and Pathogenicity Unit, which is part of the Department of Mycology. He also holds affiliations with the Department of Genomes and Genetics at Institut Pasteur and the Department of Microbiology and Food Chain at INRAE (USC 2019). His research focuses on the molecular mechanisms of fungal pathogenesis, particularly in Candida albicans , a leading cause of hospital-acquired fungal infections. His research interests include medical mycology , fungal pathogenesis , host-pathogen interactions , microbial genomics , biofilm biology , and antifungal resistance . He investigates three main areas: genomic diversity in C. albicans , colonization of surfaces by biofilms, and regulation of morphogenesis. His work aims to improve the clinical management of invasive candidiasis through better understanding of fungal virulence and host interactions. The recent articles published by his team reflect a strong emphasis on functional and population genomics, transcriptional regulation, fungal cell wall biology, host-microbiota interactions, and the molecular basis of fungal virulence. These studies frequently involve collaborations across Europe and utilize cutting-edge techniques such as RNAseq, whole-genome sequencing, and high-throughput screening. Coordinator of the FunHoMic Marie Skłodowska-Curie Innovative Training Network Recipient of EU funding (Marie Curie ITN) Recipient of Swiss National Science Foundation funding (Sinergia program) Christophe D'Enfert supervises several PhD students and postdoctoral researchers. He leads multiple funded research projects including studies on C. albicans genomic diversity, biofilm formation, morphogenesis regulation, and the fungus-host-microbiota interplay. He is also involved in teaching, notably the Pasteur Course on Molecular Genetics and Epigenetics and the Medical Mycology MOOC. His laboratory benefits from advanced equipment such as plate readers, colony counters, flow cytometers, and robotic colony pickers.

• Neuropsychology
• Clinical Psychology
• Emotion Regulation
• +۶ مورد دیگر

Justyna Gerłowska is an Assistant Professor in the Department of Educational Psychology and Psychological Diagnosis at the Institute of Psychology, Faculty of Pedagogy and Psychology, Maria Curie-Skłodowska University in Lublin, Poland. She maintains active consultation hours for students during the 2024/25 academic year, conducting sessions both online and in-person at the university's Głęboka 45 campus location. Her professional profile demonstrates strong interdisciplinary collaboration, particularly through her involvement with the international RAMCIP (Robotic Assistant for Memory, Cognitive and Physical Support) consortium. Dr. Gerłowska's research program bridges clinical neuropsychology and assistive robotics , with dual focus areas in cognitive aging and pandemic psychology . Her neuropsychological work examines emotional processing in older adults with Alzheimer's disease and mild cognitive impairment, particularly investigating facial emotion mimicry patterns and nonverbal communication differences. The pandemic-related research stream analyzes adaptation strategies, emotion regulation, and health-protective behaviors among young adults and university students during the SARS-CoV-2 crisis, revealing significant psychological impacts of social isolation and uncertainty. Her publication trajectory shows a strategic evolution from traditional psychological research toward specialized human-robot interaction studies for elderly care. The most recent work (2024-2025) demonstrates deep engagement with robotic assistance technologies, analyzing professional, user, and public perspectives on robotic interventions for dementia patients. This research contributes to understanding both the technical acceptability and societal implications of assistive robotics in geriatric care settings. Dr. Gerłowska actively collaborates with international research teams, particularly with Fundació ACE in Barcelona, and participates in major conferences including the European Academy of Neurology Congress and Neuronus neuroscience meetings. Her work appears in reputable journals spanning psychology, neuroscience, and human-computer interaction fields, indicating strong interdisciplinary recognition. She supervises student research initiatives, including the 'Psychophysical Condition of Society in Poland in the Face of the SARS-CoV-2 Coronavirus Pandemic' project conducted with students from SKNP ADESSE. Her academic profile shows consistent scholarly productivity with publications appearing regularly through 2025, demonstrating ongoing research activity and professional engagement in her specialized fields.

• Emerging Construction Technologies
• Automation in Construction
• Robotic Construction
• +۱۵ مورد دیگر

Nuno Antonio da Silva is an Associate Researcher at ISTAR-Iscte (Research Center in Information Sciences, Technologies and Architecture) at ISCTE-University Institute of Lisbon, specializing in the Digital Living Spaces group. He completed his PhD in Architecture in September 2024 with a thesis titled "Advancing Construction Technologies: Integrating Human-Machine Collaboration and Drone Robotic Construction in a Comprehensive XR-Simulated Environments Methodology." His research focuses on how advanced technologies—automation, robotics, computational design, and simulation tools—can transform architectural practices to address critical global challenges such as housing crisis, sustainability, social equity, and climate resilience. Dr. da Silva earned his Integrated Master's Degree in Architecture (2012-2017) and completed Visual Arts studies (2009-2012) at José Saramago Secondary School. His academic journey began with a bachelor's degree in architecture from Universidade Lusófona in Lisbon (2015), followed by a master's in architecture from Iscte-IUL (2017). His research expertise centers on digital technologies applied to construction and architectural design, with particular focus on robotics, virtual and augmented reality simulations, and human-machine cooperation environments. Dr. da Silva has developed innovative VR/AR simulation tools to enable human-robot collaboration in construction environments, specifically where workers interact with robotic technologies including drones. His work bridges theoretical research with practical implementation through industry collaborations, developing real-world prototypes that address the gap between academic research and practical application in architecture and construction. His publication record reveals a strong trajectory in robotic construction methodologies, with increasing sophistication in VR/AR simulation environments and growing attention to social impact considerations. His most cited work, "Robotic construction analysis: Simulation with virtual reality" (2022) in Heliyon (Q1), demonstrates significant scholarly impact with 15 Web of Science and 20 Scopus citations. Challenges and opportunities of using metaverse tools for participatory architectural design processes (2024) Robotic construction analysis: Simulation with virtual reality (2022) The Robotic Dance: a fictional narrative of a construction by drones (2021) A Quasi-real Virtual Reality Experience: Point Cloud Navigation (2021) Robotic construction: Robotic fabrication experiments for the building construction industry (2021) Currently, Dr. da Silva leads the experimental phase of the GreenCity4Aging project, developing VR-based user simulations to collect heart rate and eye-tracking data from elderly citizens, contributing valuable insights for designing inclusive, elder-friendly urban spaces. During his PhD, he led an interdisciplinary team of five in collaboration with NexusUAV, securing 80% of the funding needed for drone construction experiments, demonstrating his ability to translate research into practical applications with real-world impact. His research philosophy emphasizes the integration of digital and prefabrication technologies to foster sustainable and inclusive design in the built environment. Through his work with ISTAR-Iscte's multidisciplinary approach, he continues to develop research in robotic construction and AR/VR simulation environments, maintaining strong industry connections to ensure practical relevance of his academic work.

Peyman Kabiriمشاهده پروفایل

مدرس ارشد

• Network Security
• Cybersecurity
• Intrusion Detection and Response
• +۶ مورد دیگر

Peyman Kabiri is a Senior Lecturer in Cyber Security at the De Montfort University School of Computer Science and Informatics , Faculty of Computing, Engineering and Media. His research spans interdisciplinary domains including Network and Cybersecurity (Intrusion Detection/Response) Remote Sensing and Acoustic Emission Analysis Many-Valued Logic and Robotics Sound Analysis and Music Information Retrieval Peyman's academic contributions focus on adaptive error compensation in mechanical systems and security frameworks for cyber-physical environments. His recent publications highlight innovations in Monocular SLAM algorithms for indoor navigation Wavelet packet transform for image processing Signal strength-based wireless intrusion detection Trust modeling in virtualized systems As an educator, he teaches Practical Host & Network Security (PG) Secure Coding (UG) Endpoint Security (UG) with extensive experience in microprocessor design, robotics, and network security modules. Professional memberships include BCS (2024) IEEE (1997-2002, 2012) ACM (2010-2013) SPIE (2005) ISMVIP (2010-2019) ISAV (2017)

Hae In Leeمشاهده پروفایل

مدرس

• Autonomous Systems
• Control Systems
• UAV Technology
• +۷ مورد دیگر

Dr. Hae In Lee is a Lecturer in Autonomous Systems at Cranfield University's Centre for Autonomous and Cyberphysical Systems within the School of Aerospace Transport and Manufacturing. She holds a PhD from Cranfield University (2019) and BSc and MSc degrees in aerospace engineering from the Korea Advanced Institute of Science and Technology (2013, 2015). Prior to her current position, she worked as a Research Fellow in Autonomous Systems and Artificial Intelligence before joining Cranfield as a Lecturer in 2022. Dr. Lee's research focuses on networked control systems, adaptive control, and multi-objective optimization for autonomous systems. Her expertise spans Autonomous Systems, Computing and Simulation, Flight Physics, Mechatronics & Advanced Controls, and Sensor Technologies. She has published extensively in leading journals and conferences, with recent work concentrating on UAV collision avoidance, multi-agent systems, slung-load transportation, and unmanned traffic management. Her publication record shows a clear progression from foundational work in UAV slung-load transportation to more complex multi-agent systems and autonomous control frameworks. The research demonstrates strong theoretical foundations in control theory combined with practical applications in aerospace and robotics. Recent publications (2022-2025) increasingly address real-world implementation challenges in drone traffic management, rail monitoring, and advanced air mobility. Dr. Lee has delivered 7 MSc modules at Cranfield University and has been invited to lecture at other research institutes and industry organizations. Her teaching and research bridge theoretical control systems with practical autonomous vehicle applications.

• Labour Law
• Labour Relations
• Employment
• +۹ مورد دیگر

Maria Da Glória Carvalho Rebelo is an Associate Professor at Universidade Lusófona de Humanidades e Tecnologias and a member of the Scientific Council at Dinâmia-CET (ISCTE-IUL). She is a founding member of the Portuguese Association of Labour Law (APODIT) and serves on the editorial boards of the International Journal on Working Conditions and Economia e Segurança Social . Her work focuses on Labour Law, Social Security, Digital Work, and Gender Equality. Education: Law Degree and Master's from Universidade de Lisboa, PhD in Sociology from ISEG (Lisbon School of Economics & Management). Her research explores Labour Code amendments, teleworking, work-life balance, and socioeconomic impacts of digital transformation. Recent publications analyze challenges in hybrid work environments, gender discrimination, and post-pandemic employment trends in Portugal. She has authored over 30 books and book chapters, including volumes on digital work, teleworking, and Labour Code reforms. Her work has been presented at European conferences on AI and robotics, and she contributes to policy discussions on lifelong learning and organizational systems.

• Cybernetics
• Autonomous Systems
• SLAM (Simultaneous Localization and Mapping)
• +۵ مورد دیگر

Mina Henein is a Lecturer at the School of Cybernetics, Australian National University (ANU), where he explores the ethical, legal, and societal implications of emerging technologies like autonomous systems and AI. His research focuses on SLAM (Simultaneous Localization and Mapping) in dynamic environments, graph-based methods, and optimization techniques. He holds a Ph.D. from ANU’s Robotic Vision Center and dual M.Sc. degrees in Advanced Robotics from Università degli Studi di Genova (Italy) and École Centrale de Nantes (France). Before academia, he worked in the FMCG sector and as a visiting researcher at the Italian Institute of Technology and ETH Zurich. His research interests span cybernetics, ethical design, and sustainability, with affiliations to ANU’s Institute for Climate, Energy & Disaster Solutions (ICEDS) in areas like sustainable transport, extreme events, and risk resilience. Mina’s work bridges technical innovation with societal challenges, emphasizing interdisciplinary collaboration and real-world applications. While no scientific awards are explicitly mentioned, his contributions to SLAM and autonomous systems have been published in top-tier journals and conferences. He actively engages with policy and outreach initiatives to translate technical research into actionable solutions for climate and disaster resilience.

Leonard Lyeمشاهده پروفایل

استاد

• Environmental Engineering
• Statistical Hydrology
• Water Resources Engineering
• +۷ مورد دیگر

Leonard Lye is a Professor in the Department of Civil Engineering at the Faculty of Engineering and Applied Science, Memorial University. His expertise lies in environmental engineering, statistical hydrology, and the design of experiments, with a strong emphasis on water resources and engineering education. He has been a key academic figure at Memorial since 1988. Research Interests: Dr. Lye's research focuses on statistical methods in hydrology, including flood frequency analysis, drought assessment, and risk modeling for marine and environmental systems. His work integrates design of experiments (DOE) into engineering education and practical applications. He has developed innovative statistical models for ocean outfalls, hull motion analysis, and rare event risk estimation, such as in the Deepwater Horizon case. His contributions span civil, environmental, and ocean engineering, with a strong statistical foundation. His recent publications reflect a consistent trend in applying advanced statistical and probabilistic methods to environmental and engineering challenges, particularly in hydrology, waste management, and marine safety. These works demonstrate interdisciplinary collaboration and a focus on real-world problem-solving using response surface methodology, Bayesian analysis, and Monte Carlo simulations. Scientific Awards: PEGNL Teaching Award (2001) President's Award for Distinguished Teaching (2003) Government of Alberta's Bronze Teamwork Award (2012) Glenn Roy Blundon Award (2013) Recreation NL Bridging the Gap Award (2014) PEGNL Award for Community Service (2014) Tetra Society Lifetime Achievement Award (2014) President's Award for Exceptional Community Service (2014) CSCE Service Award (2014) Advising and Grants: While specific students are not listed, Dr. Lye has mentored numerous graduate researchers through his extensive publication record and leadership in research projects. His work has been supported by academic and governmental funding, particularly in environmental and water resources engineering. He has also led initiatives in engineering education and community-based innovation, including the Shad Valley program and entrepreneurial ventures. Labs and Teams: Dr. Lye has been actively involved with the Shad Valley program at MUN since 2003 and has served as Program Director since 2007. He is also the founder of the local chapter of the Tetra Society of North America, where he collaborates with engineers and volunteers to design assistive devices for people with disabilities. His entrepreneurial work with Com-Adv Devices Inc. involves product development teams focused on fitness and educational tools.

• Weed Science
• Precision Agriculture
• Soil Salinity
• +۴ مورد دیگر

Roberta Masin serves as an Associate Professor within the Department of Agri-Food, Environmental and Animal Sciences (DAFNAE) at the University of Padua, Italy, specializing in AGR/02 (Agronomy and Field Crop Production). Based at the Agripolis campus in Legnaro, Padova, she conducts research at the intersection of agricultural systems and environmental sustainability, with significant contributions to Mediterranean agricultural challenges. Her research program focuses on weed ecology under climate stressors, particularly soil salinization and drought impacts on coastal agriculture. She pioneers precision agriculture techniques using UAVs and remote sensing for weed mapping, seed germination modeling, and site-specific management. Key innovations include nature-based solutions for salinity mitigation, herbicide reduction strategies, and assessment of invasive species like Ambrosia artemisiifolia across European ecosystems. Her work integrates field experiments with advanced data analytics to develop sustainable crop protection frameworks. Analysis of her 2023-2025 publications reveals a dominant research trajectory in climate-resilient agriculture, with 60% of recent work addressing seawater intrusion impacts and weed adaptability in coastal zones. She demonstrates strong European collaboration networks, particularly with Croatian institutions, focusing on translating hydrothermal emergence models into practical precision farming tools. Her publications consistently emphasize actionable strategies for reducing chemical inputs while maintaining productivity in saline-stressed environments.

• Production Systems Engineering
• Supply Chain Design and Optimization
• Operational Research
• +۳ مورد دیگر

Professor Alexandre Dolgui is the Director of the Department of Automation, Production, and Computer Science (DAPI) at IMT Atlantique, France. A Fellow of IISE and Highly Cited Researcher (Clarivate), he serves as Editor-in-Chief of the International Journal of Production Research. His expertise spans production systems, supply chain engineering, and operational research, with over 360 journal articles and 37 books. Education: HDR (University of Technology of Compiègne, 2000), PhD in Cybernetics (Academy of Science of Belarus, 1990) Research focuses on production system design , supply chain resilience , and discrete optimization , addressing challenges in human-robot collaboration, Industry 5.0, and yield uncertainty. His work integrates machine learning with stochastic programming for adaptive manufacturing solutions. Key contributions include constraint programming models for assembly lines, robust optimization frameworks for biorefineries, and digital twin methodologies for supply chain risk management. He has received multiple best paper awards and led international research projects like DREAMS and DISC. Scientific leadership: Board member of IFPR, Senior advisor to Chinese Academy of Sciences, founder of EVI European Virtual Institute

• Electromagnetic and Thermal Analysis
• Electromagnetic Compatibility
• Biped Robotics
• +۷ مورد دیگر

A. Paulo Coimbra is an Assistant Professor at the Department of Electrical and Computer Engineering, University of Coimbra, where he has worked since 1996. He also holds a researcher position at the Institute of Systems and Robotics (ISR-Coimbra). His career spans electromagnetic and thermal analysis, robotics, and renewable energy systems. BSc and PhD in Electrical Engineering from University of Coimbra (1985, 1996) IEEE Member since 1995 Consultant at CWJ-Projeto SA since 2008 Co-author of 1 book, 3 book chapters, and 4 patents Research interests focus on electromagnetic compatibility , biped and hyper-redundant robotics , and vision-based navigation systems . Recent publications highlight applications in microgrid optimization , autonomous wildfire mitigation , and deep learning for environmental monitoring . Grant collaborations include projects like: SwitHome (post-stroke rehabilitation, 2018) FIREPROTECT (wildfire risk mitigation, 2017-2020) NEXTSTEP (smart substations, 2016-2020) Humanoid robot gait adaptation (2016-2019) He has contributed to over 120 conference papers and 35 journal publications, with work spanning robotics , energy systems , and environmental applications .

Angelika Peerمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Human-Robot Interaction
• +۱۵ مورد دیگر

Angelika Peer is a Full Professor in the Faculty of Engineering at the Free University of Bozen-Bolzano, Italy, a position she has held since November 2017. Previously, she served as a Full Professor at the Bristol Robotics Laboratory, University of the West of England, UK (2014–2017), and as a senior researcher and lecturer at the Technical University of Munich, Germany, where she was also a TUM-IAS Junior Fellow. Her academic base is firmly within engineering, particularly in intelligent and human-centered systems. Diploma in Electrical Engineering and Information Technology, Technical University of Munich, 2004 Doctor of Engineering, Technical University of Munich, 2008 Her research interests are centered on intelligent systems that bridge humans and machines. Key areas include robotics, control systems, human-robot interaction (HRI), emotion recognition through physiological signals, shared control, and intelligent manufacturing. She investigates how dynamic models and machine learning can improve safety, adaptability, and efficiency in human-machine collaboration. Her work spans both theoretical control design and practical applications in Industry 5.0, sustainable production, and assistive technologies. Her recent publications (2023–2025) reflect a strong trend toward data-driven and model-based intelligent systems. Topics include energy-based safety control in HRI, neural-network-based trajectory adaptation in powder compaction, emotion intensity estimation using NARX models and appraisal theory, and task prediction in digitalized shop floors using support vector regression. These works demonstrate expertise in integrating dynamic modeling, machine learning, and real-time control with applications in manufacturing and human-centered computing. Angelika Peer has advised PhD students including Ehtisham Ul Hasan and Isabel Francisca Sota Machado Barradas. She is involved in research initiatives such as the Human-centered Intelligent Systems (HCIS) macro area at her university, promoting interdisciplinary work at the intersection of computer science, engineering, and human factors. Her research is supported by collaborations and publications in high-impact journals and conferences, with a strong emphasis on open access and peer-reviewed dissemination.