جست‌وجوی استاد و پژوهشگر

• Computer Operating Systems
• Computer Systems Analysis
• Distributed Systems
• +۵ مورد دیگر

Liuba Shrira is a Professor of Computer Science at Brandeis University, affiliated with the Michtom School of Computer Science and the Benjamin and Mae Volen National Center for Complex Systems. Her research focuses on distributed systems, storage systems, blockchain technology, concurrent programming, and system architectures. She holds a Ph.D., M.S., and B.S. from the Technion – Israel Institute of Technology. Her work emphasizes reliable and highly available systems, including innovations in snapshot management, transactional memory, and adversarial cross-chain commerce. She has been recognized with awards such as the ACM Distinguished Scientist (2009), Lady Davis Fellowship (2010-2011), and a Best Paper Award (2020). Her research has been supported by grants from the National Science Foundation and other institutions. Recent publications highlight advancements in optimistic concurrency control, blockchain interoperability, and modular past-state systems. Shrira has also contributed to middleware design and distributed computing frameworks, with applications in both academic and industry settings.

Sao Mai Nguyenمشاهده پروفایل

مدرس

• Robotics
• Artificial Intelligence
• Cognitive Science
• +۷ مورد دیگر

Sao Mai Nguyen is an Enseignante-Chercheuse (Lecturer-Researcher) at ENSTA Paris, affiliated with the Unité d'Informatique et d'Ingénierie des Systèmes (U2IS). Her research bridges robotics, artificial intelligence, and cognitive science, focusing on cognitive developmental robotics, intrinsic motivation in learning, and human-robot interaction. She explores how robots can adapt to social and physical environments, particularly in physical rehabilitation and smart home applications. Research Interests: Nguyen’s work integrates machine learning, robotic embodiment, child psychology, and neuroscience. Key areas include human-robot interaction, assistive robotics for chronic low back pain rehabilitation, activity recognition in smart homes using IoT sensors, and intrinsic motivation-driven learning frameworks. Recent Contributions: Her 2024 HDR thesis on reinforcement and imitation learning for sequential tasks underscores her expertise in strategic learning systems. Recent publications address bio-inspired robotics models, hierarchical reinforcement learning, and benchmark environments like 'Open the Chests' for activity recognition. Collaborations include projects like the R-COOL randomized trial for robot-coached physical exercises. Labs & Teams: She contributes to the U2IS lab, advancing interdisciplinary research in AI and robotics. Her work spans experimental platforms for sensorimotor learning and healthcare robotics applications.

Wonbong Choiمشاهده پروفایل

استاد

• Materials Science
• Energy Storage
• Nanomaterials
• +۳ مورد دیگر

Dr. Wonbong Choi is a University Distinguished Research Professor at the University of North Texas with joint appointments in the Department of Materials Science and Engineering and Mechanical Engineering. His research focuses on nanomaterials, energy storage systems (particularly lithium-sulfur and zinc-ion batteries), additive manufacturing of composites, and neuromorphic computing devices. He was elected Fellow of the National Academy of Inventors in 2024 for his contributions to materials innovation. Research interests span materials synthesis, electrochemical characterization, and device integration of 2D materials like MXenes and transition metal dichalcogenides. Key areas include: Nanomaterial design for batteries and supercapacitors 3D-printed sensors and structural composites Defect engineering for neuromorphic computing His recent publications highlight consistent themes in MXene synthesis optimization, advanced battery architectures, and multifunctional composites. Article trends show increasing focus on in situ characterization, scalable manufacturing of nanomaterials, and AI-driven materials design. Awards: Fellow, National Academy of Inventors (2024) Collaborates with research groups at Oak Ridge National Laboratory and leads projects on lightweight composites and energy storage systems.

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).

Neil Kellardمشاهده پروفایل

استاد

• Finance
• International Finance
• Development Economics
• +۴ مورد دیگر

Neil Kellard is a Professor of Finance and Acting Deputy Vice-Chancellor at the University of Essex, affiliated with the Essex Business School's Department of Finance. He holds a BA from Manchester Metropolitan University, an MSc from the University of Warwick, and a PhD from the University of Nottingham. His research focuses on finance, international finance, development economics, applied econometrics, and environmental sustainability. He has supervised numerous PhD students and contributed to over 46 journal articles. His work spans topics like commodity price volatility, financial markets' role in inequality, and environmental policies' economic impacts. Neil has presented at global conferences, including the Quantitative Finance Symposium (Greece, 2018) and the African Econometrics Society (South Africa, 2009). His grants include Innovate UK's KTP3 Application (2021) and ESRC's Smart Data Analytics project (2014). He advises on financial stability, green innovation, and commodity markets. His lab focuses on econometric analysis of financial and commodity markets, with a team exploring long-term trends in global economic systems.

• Social Media Analysis
• Misinformation Dynamics
• Machine Learning Applications
• +۵ مورد دیگر

Anees Baqir is an Assistant Professor of Data Science at Northeastern University London, affiliated with the CoMENS Faculty's Data and AI department. He is also a research fellow at the Complex Human Behavior (CHuB) lab at Fondazione Bruno Kessler (FBK), Trento, Italy, contributing to the European-funded AI-CODE project studying misinformation and polarization in social media. His research focuses on analyzing online information dynamics, polarization, and machine learning applications in healthcare, crime prediction, and language processing. Education details are not explicitly provided here, but his work bridges computer science and social sciences through interdisciplinary projects. He is part of the Complex Systems Society and collaborates globally, leveraging Northeastern University's transnational network across 13 campuses in the UK, US, and Canada. Research interests include: (1) Misinformation spread and polarization in digital ecosystems, (2) Machine learning for health analytics and behavioral prediction, (3) NLP innovations for Urdu and multilingual content analysis, (4) Spatio-temporal crime modeling for smart cities, and (5) Computational social science methods for political and societal dynamics. His recent publications span 2020–2025, exploring topics like Twitter-based PTSD detection, Urdu language processing systems, and AI-driven crime prediction. His work frequently intersects technical methodologies with societal impact, such as analyzing polarization in Pakistan’s political discourse or developing frameworks for university course scheduling. He holds no explicitly listed academic awards but is actively involved in research initiatives addressing global challenges like misinformation and public health surveillance. His advisory roles and grant activities are not detailed here, though his CHuB lab affiliation suggests collaborative funding opportunities. Key affiliations include the CHuB lab (FBK, Italy), Complex Systems Society, and Northeastern’s global network. He contributes to projects like AI-CODE, focusing on federated social media analysis and European misinformation trends.

• 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

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.

Urszula Ala-Karviaمشاهده پروفایل

پژوهشگر

• Social Sciences
• Statistics and Probability
• Food Science
• +۳ مورد دیگر

Urszula Ala-Karvia is a Doctoral Researcher at the Ruralia Institute Seinäjoki , part of the Faculty of Agriculture and Forestry at the University of Helsinki . She is affiliated with the Helsinki Institute of Sustainability Science (HELSUS) and actively contributes to research on sustainable food systems, demographic analysis, and statistical modeling. Her research interests include urban-rural migration patterns , household structure changes , sustainable public meal provision , energy policy analysis , and statistical demography . She employs both quantitative and qualitative methods to study socio-economic phenomena across Finland, Poland, and the Baltic Sea Region. Recent publications focus on suburbanization effects in Poland , electricity price structures in EU countries , and digital innovation hubs in Arctic regions . Her work addresses sustainability challenges in public catering , climate-smart dairy transitions , and gender equity in rural entrepreneurship . She participates in EU-funded projects such as GENGREEN (2024-2026) and StratKIT+ (2022-2024), and contributes to interdisciplinary collaborations through conferences and workshops across Nordic-Baltic regions.

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.

Anne Petitjeanمشاهده پروفایل

دانشیار

• DNA computing
• Genetics
• Supramolecular chemistry
• +۷ مورد دیگر

Dr. Anne Petitjean is an Associate Professor in the Department of Chemistry at Queen's University, affiliated with the Faculty of Arts and Science. She holds a cross-appointment as an Associate Member of the Division of Cancer Clinical Trials at the Queen's Cancer Research Institute. Education: B.Sc. in Physical Chemistry from École Normale Supérieure (Lyon, France), M.Sc. in Advanced Organic Chemistry from Université Claude Bernard (Lyon), and Ph.D. in Supramolecular Chemistry under Nobel Laureate Prof. Jean-Marie Lehn. Postdoctoral research at Caltech with Prof. Jacqueline K. Barton focused on DNA-targeting small molecules. Research focuses on supramolecular chemistry, molecular recognition, and drug delivery systems targeting non-canonical nucleic acid structures like guanine quadruplexes. Key interests include 'smart' drug delivery for cancers and infections, and molecular design for targeted therapeutics. Her work integrates organic synthesis, coordination chemistry, and dynamic systems to create bioactive molecules and advanced materials. Notable projects include metallomacrocycles for quadruplex recognition and stimuli-responsive drug delivery mechanisms.

• Plant Physiology
• Crop Science
• Water Stress in Crops
• +۳ مورد دیگر

Yazen Al-Salman is a Postdoc in Crop Physiology, focusing on plant physiological responses to environmental stresses, particularly in sorghum. His research examines water use efficiency, photosynthesis under stress, and anatomical adaptations in crops. He leads the AdRicce Adaptive Rice for Climate Smart Agriculture project (2022–2026), aiming to enhance crop resilience under climate change conditions. His research interests include plant physiology, crop stress resilience, and sustainable agriculture. Key areas are water use efficiency in C₄ crops like sorghum, stomatal and gas exchange dynamics, and the impact of environmental factors such as temperature and CO₂ levels on photosynthesis and biomass production. He investigates anatomical and physiological mechanisms that enhance crop adaptation to water and heat stress. As PI of the AdRicce project, he collaborates with experts to develop climate-resilient rice varieties. This project, active since November 2022, focuses on advancing agricultural practices for future climate challenges.

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.

Tafsir Matin Johanssonمشاهده پروفایل

استادیار

• Ocean Governance
• Techno-regulatory Governance
• Arctic Policy
• +۳ مورد دیگر

Dr. Tafsir Matin Johansson is an Assistant Professor (Research/Ocean Sustainability, Governance & Management) at the WMU-Sasakawa Global Ocean Institute. He holds a PhD in Maritime Affairs from WMU, an MSc in International Maritime Law from Lund University, and an LL.B. (Honours) from the University of Chittagong. His interdisciplinary research focuses on ocean governance, techno-regulatory frameworks for robotics, Arctic policy, IUU fishing, marine debris, and gender equality in ocean science. Recent work examines climate adaptation in shipping, remote inspection technologies, and sustainable port management. Dr. Johansson has led projects funded by Transport Canada, the European Union, and Swedish/Danish agencies, addressing oil spill response, underwater noise, and autonomous systems. His publications frequently analyze regulatory innovation for emerging technologies and crisis management strategies in maritime operations.

Yaning Liمشاهده پروفایل

دانشیار

• Mechanics of Materials
• Bio-inspired Engineering
• Additive Manufacturing
• +۵ مورد دیگر

Yaning Li is an Associate Professor at Northeastern University's Department of Mechanical and Industrial Engineering, part of the College of Engineering. Her research focuses on mechanics of materials, bio-inspired engineering, additive manufacturing, and mechanical metamaterials. She holds a PhD from the University of Michigan and dual MS degrees from the same institution. Education: PhD (2007), University of Michigan; Dual MS (2006), University of Michigan Affiliations: Mechanics, Biomimetics, and 3D Printing Research Lab; American Physical Society (APS), Society of Naval Architects and Marine Engineers (SNAME) Her research explores bio-inspired materials, energy absorption mechanisms, and advanced manufacturing techniques. Key projects include developing auxetic metamaterials and bio-inspired sutural designs. Grants & Awards: NSF CAREER Award (2016), AFOSR SFFP Fellowship (2013), IUTAM Travel Award Recent Recognition: 2023/2024 Stanford Top 2% Cited Scientists Advises a diverse group of students and postdocs, including current PhD candidates Lin Gu and Yunzheng Yang. Her lab focuses on experimental and computational studies of novel materials, with applications in engineering and biomedicine. Labs/Teams: Mechanics, Biomimetics, and 3D Printing Research Lab Patents: 3D auxetic composite structures, bio-inspired metamaterials