جست‌وجوی استاد و پژوهشگر

Nicole Mastersمشاهده پروفایل

دانشیار

• Water Microbiology
• Environmental Microbiology
• Biomedical Science Communication
• +۳ مورد دیگر

Associate Professor Nicole Masters holds dual roles as Associate Dean (Learning and Teaching) and Associate Professor in Bioscience at the University of the Sunshine Coast (UniSC), affiliated with the School of Health and the Centre for Bioinnovation. She completed her PhD at UniSC investigating novel methods for detecting microbial water pollution sources. Her research focuses on water microbiology, environmental microbiology, and biomedical science communication, with notable contributions to microbial source tracking, bacterial pathogenesis, and STEM education strategies. She has published extensively on E. coli virulence, fecal pollution markers, and student engagement in foundational courses. Her work bridges environmental science and public health, emphasizing practical applications of microbiology in water quality management. Teaching areas include Introductory Bioscience and Cell Biology, complemented by professional development in learning-centered pedagogy. Professional memberships include the Australian Society for Microbiology and International Water Association. Education: PhD in Bioscience, University of the Sunshine Coast BSc (Hons) in Bioscience, University of the Sunshine Coast Graduate Certificate in Professional Learning, University of the Sunshine Coast Research Interests: Nicole’s work addresses microbial contamination in water systems, particularly using molecular methods to trace pollution sources. She investigates virulence traits of E. coli strains linked to human and environmental health, with implications for inflammatory bowel disease and urinary tract infections. Her educational research focuses on optimizing synchronous/asynchronous STEM learning through blended learning strategies, lecture design, and active learning frameworks. Publications Trends: Her articles span environmental microbiology, clinical microbiology, and education innovation. Recent work emphasizes E. coli clonal group behavior in human/environmental contexts and pedagogical tools to enhance student engagement in first-year STEM courses. Early-career research focused on developing sensitive pathogen detection methods in surface waters, reflecting a trajectory from methodological innovation to interdisciplinary applications. Grants & Advising: While specific grants are not detailed, her research activities imply sustained funding in environmental and biomedical sciences. She advises students in bioscience disciplines, though formal advisee names are not documented here. Labs/Teams: Active member of the Centre for Bioinnovation, collaborating on projects linking microbial science to health and environmental sustainability.

Bruce Thomasمشاهده پروفایل

پژوهشگر

• Geodesy
• Natural Hazards
• Tsunami Detection
• +۴ مورد دیگر

Bruce Thomas , M.Sc., is a Scientific Employee at the Institute of Geodesy within the University of Stuttgart . His research focuses on geodesy, natural hazards, and disaster risk reduction, particularly leveraging GNSS (Global Navigation Satellite Systems) technology for tsunami detection and coastal vulnerability analysis. He contributes to advancing early warning systems and spatial analysis methodologies for mitigating the impacts of submarine volcanic eruptions, earthquakes, and tsunamis. Thomas’s work emphasizes innovative applications of ship-based GNSS networks to enhance tsunami monitoring capabilities, as well as rapid, cost-effective methods for assessing population and infrastructure exposure to natural hazards. His research spans diverse geographic regions, including the South Sandwich Islands, Tonga, Alaska, and New Caledonia. He collaborates on projects involving seafloor geodetic constraints, spatial discretization of cultivated landscapes, and high-resolution mapping of coastal hazards. His recent publications highlight advancements in tsunami detection algorithms, cargo ship network optimization for hazard monitoring, and the development of tools for community-level risk perception and mitigation strategies. Thomas’s interdisciplinary approach bridges geophysics, remote sensing, and GIS applications to address global challenges in environmental and coastal resilience. Currently, he is affiliated with the Institute of Geodesy at the University of Stuttgart, where he actively engages in research, technology development, and academic collaboration through platforms like ORCID, ResearchGate, and LinkedIn.

Mohammed Al-Khalidiمشاهده پروفایل

دانشیار

• AI Security
• IoT Security
• Mobile Computing
• +۳ مورد دیگر

Mohammed Al-Khalidi is a Senior Lecturer (Associate Professor) in Cyber Security at Manchester Metropolitan University and serves as the MSc Cyber Security Course Leader. He has secured over £500,000 in research funding from UKRI’s Global Challenges Research Fund and other bodies for projects in AI Security and Network Security. His research spans AI security, IoT security, Mobile Computing, Cloud Computing, Ad-Hoc Networks, and Information Centric Networks. He has contributed to EU projects including POINT (iP Over IcN - the betTer IP). He currently supervises PhD students working on Intelligent Mobility Management in 6G, Zero Trust Security for Internet of Drones, UAV Security using AI/Blockchain, and Cybersecurity Frameworks for Intelligent Transport Systems.

• Corporate Social Responsibility
• Environmental Management
• Stakeholder Engagement
• +۵ مورد دیگر

George Kassins is a Professor in the Department of Business Administration and Public Administration at the University of Cyprus, affiliated with the School of Economics and Management. He holds a PhD in Economics from Princeton University (1997), an MA from the same institution (1995), an MCP in City Planning from MIT (1992), and dual degrees from Cornell University (1990). His research focuses on corporate social responsibility, environmental management practices, stakeholder engagement strategies, and the intersection of business ethics with public policy. He has extensively studied greenwashing phenomena, corporate legitimacy in extractive industries, and refugee attitudes in conflict zones. Key research themes include analyzing how firms navigate environmental and social challenges, particularly in sectors such as tourism and healthcare. His work bridges theoretical frameworks with practical implications for policy design and organizational strategy. Recent publications emphasize the financial and reputational consequences of perceived corporate hypocrisy, the strategic importance of stakeholder co-creation in healthcare systems, and international collaboration in sustainable development initiatives. Education: PhD in Economics, Princeton University (1997) MA in Economics, Princeton University (1995) MCP in City Planning, MIT (1992) AB in Economics & BS in Urban & Regional Studies, Cornell University (1990) Labs/Teams: Engaged in interdisciplinary projects such as the SeaTecHub initiative for sustainable blue economies and the Global Entrepreneurship Monitor. His research has been applied to policy contexts including entrepreneurship ecosystems in Cyprus and stakeholder-driven innovations in public service delivery. While no explicit awards are listed, his work has been widely cited in debates on corporate accountability and environmental governance.

Domenico Striccoliمشاهده پروفایل

دانشیار

• Internet of Things
• Network Security
• Information Centric Networking
• +۳ مورد دیگر

Dr. Domenico Striccoli is an Associate Professor in the Department of Electrical and Information Engineering at the Polytechnic University of Bari, Italy. He holds a Dr. Eng. Degree (2000) and Ph.D. in Electronic Engineering (2004) from Politecnico di Bari. His office contact is +39 080 5964225. Research focuses on advanced networking technologies: Internet of Things architectures and security Information Centric Networking paradigms Low Power Wide Area Networks optimization Nanocommunication systems Network performance modeling and evaluation Awards include Best Impact Contribution runner-up at RESTART Workshop (2024) and 2nd Best Paper at ICT-DM Conference (2023). Teaching includes Multimedia Systems and Telecommunication Signal and System for Aerospace courses.

Pietro Mililloمشاهده پروفایل

استادیار

• Remote Sensing
• Earth Science
• Cryosphere Monitoring
• +۵ مورد دیگر

Pietro Milillo is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Houston, with additional appointments as a Guest Scientist at the German Aerospace Center (DLR) and former roles at NASA JPL, UC Irvine, and Caltech. He holds a PhD in Environmental Engineering from the University of Basilicata and MS/BS degrees in Physics from the University of Bari. Research Interests: Focus on synergistic use of remote sensing data and computational analysis for Earth and Cryosphere Science, natural/anthropogenic hazard response, and near real-time disaster monitoring. Key areas include SAR constellations, InSAR techniques, machine learning for geophysics, and infrastructure health assessment. Publication Trends: Recent work emphasizes AI-driven SAR analysis (2025), Antarctic ice monitoring (2025), infrastructure deformation mapping (2025), and integration of altimetry with SAR for environmental applications (2024). Scientific Recognition: 2021: Italian Full Professor Habilitation in Earth Science Physics 2020: Remote Sensing Young Investigator Award 2019: ISSNAF Anna Maria Molteni Award 2016: NASA Postdoctoral Program Fellowship Advising: Mentors PhD students at the University of Houston (2023-2024) and international institutions like the University of Bath (UK) and Politecnico di Torino (Italy). Institutional Leadership: Coordinated €2MM/year international satellite campaigns for Greenland/Antarctica (2017-2021), contributed to NASA's Surface Deformation observing system design (2019-2020), and chaired IGARSS sessions on remote sensing applications.

Ryan Ipمشاهده پروفایل

پژوهشگر

• Risk Analysis
• Spatial Statistics
• Agricultural Science
• +۳ مورد دیگر

Ryan Ip is a researcher affiliated with Charles Sturt University's Computing, Mathematics and Engineering School, contributing to the Data Science and Engineering Research Unit, DaMRG (Data Mining Research Group), and the Imaging and Sensing Research Group. He holds a PhD in Statistics (2015) and a Bachelor of Science in Risk Management Science from The University of Hong Kong (2010). His research focuses on spatial statistics, risk analysis, agricultural sustainability, and machine learning applications. Key areas include geostatistical modeling of environmental data, resilience in agricultural systems, and decision-making frameworks under uncertainty. Collaborative projects span climate-smart agriculture, pandemic modeling, and cybersecurity in agrotech. Notable achievements include grants for modeling pandemic interventions and agricultural data governance frameworks. He has published widely in environmental science, statistics, and data mining, with recent work addressing regenerative agriculture and resilient community planning. Education : PhD in Statistics, The University of Hong Kong (2011–2015) Bachelor of Science (Risk Management Science & Finance), The University of Hong Kong (2007–2010) Grants/Awards : DSRU Summer Scholarship (2021) Covid-19 firewall strategy modeling grants (2020) Labs/Teams : Data Mining Research Group (DaMRG) Imaging and Sensing Research Group His interdisciplinary work bridges statistical methodologies with real-world challenges in agriculture, health, and infrastructure, emphasizing data-driven decision frameworks.

Dimitri Volchenkovمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Complex Systems
• Stochastic Processes
• +۳ مورد دیگر

Dr. Dimitri Volchenkov is a Professor in the Department of Mathematics and Statistics at Texas Tech University, specializing in nonlinear dynamics, complex systems, and stochastic processes. His research integrates mathematical physics, statistical mechanics, and network theory to study phenomena ranging from social dynamics to urban mobility. His core research areas include developing mathematical frameworks for complex networks, analyzing predictability in non-ergodic systems, and applying statistical mechanics to biological and social systems. Recent work focuses on information propagation in social networks, detection of disinformation campaigns, and modeling human navigation patterns in urban environments. Volchenkov has published extensively on network-based analysis of social phenomena, including studies on troll networks, social conformity, and opinion dynamics. His applied research includes pedestrian movement modeling on university campuses, tornado severity prediction, and polymer physics. He received the International George M. Zaslavsky Award in 2020 and maintains active research projects funded by organizations including the Department of Defense. Volchenkov teaches courses in linear algebra, mathematical statistics, and specialized topics in complex systems.

Alexis M. Rothمشاهده پروفایل

دانشیار

• Substance Use
• Reproductive/Sexual Health
• Community Engaged Research
• +۷ مورد دیگر

Alexis M. Roth is an Associate Professor in the Department of Community Health and Prevention at Drexel University. Her work focuses on addressing health disparities through community-engaged research, particularly in substance use, infectious diseases, and women's health. She holds a PhD in health behavior from Indiana University, an MPH in international health and development from Tulane University, and a BA in Communication Studies and Spanish from Loyola Marymount University. Dr. Roth leads the Health Equity Advancement Lab (HEAL), established in 2018, which prioritizes co-creating sustainable public health solutions with marginalized communities. Her research explores intersections of gender, substance use, and health equity, emphasizing novel interventions for opioid overdose prevention and improving healthcare access for people who use drugs. Key areas include harm reduction strategies, syringe services programs, and digital health technologies for overdose response. Her work integrates mixed methods, combining quantitative epidemiological analyses with qualitative insights from participatory community engagement. Dr. Roth has authored over 40 peer-reviewed publications on drug use epidemiology, HIV/STI prevention, and overdose response systems. Her recent studies investigate wearable biosensor technologies for overdose detection, smartphone apps for overdose response networks, and ethical implementation of biometric tools in harm reduction settings. She collaborates with global institutions like the University of California, San Diego, and international organizations to advance evidence-based public health policies. Education: PhD in Health Behavior, Indiana University MPH in International Health and Development, Tulane University BA in Communication Studies and Spanish, Loyola Marymount University Her research is funded by grants from NIH, CDC, and foundations addressing addiction and infectious disease control. Dr. Roth advises graduate students in public health and mentors early-career researchers in community-based participatory research methods.

• Accessibility in Computing
• Digital Forensics
• Artificial Intelligence
• +۳ مورد دیگر

Ramzi Djemai is a Lecturer in Computer Science and Applied Computing at the School of Computing and Digital Media, London Metropolitan University. His work focuses on accessibility technologies, digital forensics, and artificial intelligence applications. He contributes to inclusive computing through assistive tools for visually impaired users and explores cutting-edge methods in steganography detection and emergency path planning. Research interests include: Design of accessible computing solutions Steganography analysis in digital evidence Autonomous systems for evacuation routing Human-centered AI applications Recent articles highlight advancements in: Image recognition systems for visual impairment support Hybrid methods for steganographic evidence recovery Dynamic path planning frameworks No scientific awards or grants are listed in the provided information. Advising records are unavailable. No specific lab affiliations are mentioned.

• Remote Sensing
• Microwave Remote Sensing
• GNSS-Reflectometry
• +۵ مورد دیگر

Hyuk Park is an Assistant Professor at Universitat Politècnica de Catalunya (UPC-BarcelonaTech), affiliated with the Castelldefels School of Telecommunications and Aerospace Engineering. His research focuses on remote sensing, particularly passive microwave remote sensing, system design, modeling, and geophysical data analysis. He holds a B.S. in Mechanical Engineering from KAIST (2001) and M.S./Ph.D. in Information and Mechatronics from GIST (2003/2009). Notable grants include a Korean NRF Grant (2011) and a Juan de la Cierva Grant (Spain). He currently leads the RSLab and CommSensLab, exploring applications like GNSS-Reflectometry (GNSS-R) for soil moisture, ionospheric scintillation, and disaster monitoring. His work integrates satellite data from missions like CYGNSS, FY-3E, and FSSCat to advance environmental monitoring. Recent studies include correlating ionospheric anomalies with earthquakes, improving flood water level estimation, and developing AI-driven agriculture systems. Awards include the Ramon y Cajal Fellowship, highlighting his contributions to sensor technology and Earth observation. Key projects involve instrument design (e.g., FMPL-2 dual payload), algorithm optimization for hyperspectral imaging, and mitigating radio-frequency interference. His research bridges theoretical modeling with practical applications in climate science, geophysics, and disaster response.

Narasimhan Srinivasanمشاهده پروفایل

دانشیار

• Survey research
• Consumer research
• Cross-cultural research
• +۱ مورد دیگر

Narasimhan Srinivasan serves as an Associate Professor in the Marketing department at the University of Connecticut, specializing in consumer behavior and global business dynamics. His academic foundation includes a Ph.D. from the State University of New York at Buffalo, an MBA from the Indian Institute of Management in Ahmedabad, and a B.Tech. from the University of Madras, India. Ph.D., State University of New York at Buffalo M.B.A., Indian Institute of Management, Ahmedabad B.Tech., University of Madras, India His research spans survey methodology , consumer psychology , and cross-cultural business practices , with particular emphasis on generational attitudes toward corporate responsibility and gender dynamics in global workplaces. Recent publications reveal a multidisciplinary approach bridging marketing theory with computational methods, including AI-driven stock prediction and medical imaging analysis. His work frequently employs multilevel analysis across 20-50 societies, highlighting cultural nuances in ethical decision-making and organizational behavior. Current scholarly output demonstrates three converging trajectories: (1) computational approaches to consumer behavior prediction, (2) cross-cultural analysis of workplace ethics and gender dynamics, and (3) biomaterial applications in dentistry. This reflects unusual methodological versatility spanning business analytics, medical research, and computer vision. Professor Srinivasan maintains active engagement with industry through his Google Scholar profile and LinkedIn presence, though no formal industry partnerships are documented in available materials. His office (BUSN 329) and virtual appointment system facilitate student interaction within UConn's business programs.

Dan Wanyamaمشاهده پروفایل

استادیار

• Geographic Information Science and Systems
• Human-Environment Dynamics
• Climate Change
• +۷ مورد دیگر

Dan Wanyama is an Assistant Professor-in-Residence at the University of Connecticut, specializing in Geographic Information Science and Systems and Human-Environment Dynamics . His research focuses on climate change impacts on socio-ecological systems , land use/land cover change , and geospatial analysis of environmental vulnerability. Ph.D. from Michigan State University (2021) Department: Geography, Sustainability, Community, and Urban Studies Education Contact: wanyama@uconn.edu Recent research trends include Tropical Forest Degradation , Heat Wave Analysis , and Agricultural Sustainability in East Africa and the U.S. Using advanced geospatial methods, he examines biomass recovery, fire activity, and climate-vegetation interactions. No scientific awards or students are explicitly mentioned in the available data.

Haider Al-Khateebمشاهده پروفایل

مدرس ارشد

• Cyber Security
• AI-Based Solutions
• Privacy & Online Rights
• +۷ مورد دیگر

Dr. Haider Al-Khateeb is a Senior Lecturer in Cyber Security at Aston University's Cyber Security Innovation (CSI) Research Centre and Aston Business School, part of the College of Business and Social Sciences. He holds a PhD in Cyber Security from the University of Bedfordshire (2011), a First-Class BSc (Hons) in Computer Science (2005), and a PG Cert in Academic Practice (2014). His research focuses on innovative AI-driven cyber security solutions, trustworthy systems, adversarial behaviors, and privacy rights for vulnerable groups. He has extensive experience in multidisciplinary projects, including collaborations with psychologists, law enforcement, and healthcare professionals to address cybercrime impacts. His teaching roles include module leadership for Aston's MBA Cyber Security Risk and Strategy, undergraduate Information Security courses, and MSc Cyber Security Management program development. He delivers industry-accredited training in cyber security risk management and serves as an external examiner at the University of the West of England. Dr. Al-Khateeb’s work emphasizes real-world applications, such as anomaly detection in industrial control systems, ransomware mitigation using machine learning, and digital forensics for cyber-disability hate crimes. His research has led to over 60 peer-reviewed publications, funded projects with SMEs, and awards for best papers and teaching excellence. Key collaborations include the NCSC’s CyberFirst initiative and industry partnerships for smart city security and supply chain resilience. He actively supervises PhD students exploring technical and operational cyber security challenges, with a focus on IoT, CPS, and ethical hacking methodologies. His work bridges academia and industry, addressing emerging threats through cutting-edge technical solutions and policy-driven frameworks.

Hadjiefthymiades Stathesمشاهده پروفایل

استاد

• IoT Security
• Cloud Computing
• Machine Learning
• +۷ مورد دیگر

Hadjiefthymiades Stathes is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His primary research division focuses on Computer Systems and Applications. He specializes in IoT security, cloud computing, machine learning, and edge computing, with notable contributions to data analytics, trust management, and cybersecurity in distributed systems. Research Interests: His work spans IoT security protocols, optimization of cloud storage systems, anomaly detection in Kubernetes environments, and predictive analytics for sensor networks. He has explored trust models in pervasive computing, energy-efficient node authentication, and hardware-accelerated mixed reality interfaces. His recent projects include frameworks for Earth observation data accessibility and next-generation internet experimentation platforms. Publications: His recent articles highlight advancements in IoT data reduction techniques, trust sustainability in infrastructure, and the application of Markov chains for multivariate event correlation. He has also contributed to the design of experiment description languages for mobile IoT and emergency response platforms for radiological incidents. Awards & Grants: No scientific awards or grants were explicitly mentioned in the provided texts. Labs & Teams: His research involves collaborations on projects like EO4EU-AI (Earth observation with extended reality interfaces) and TRACE (logistics integration systems). He is affiliated with the university's advanced systems research groups focusing on edge computing and secure IoT ecosystems.