جست‌وجوی استاد و پژوهشگر

Marco Aurélio Gerosaمشاهده پروفایل

عضو هیئت علمی

• Human Aspects of Software Engineering
• Software Engineering Education
• Computer Supported Cooperative Work (CSCW)
• +۷ مورد دیگر

Marco Aurélio Gerosa is a Professor at Northern Arizona University and was previously an Associate Professor at the University of São Paulo (USP), Brazil . He is affiliated with the School of Informatics, Computing, and Cyber Systems (SICCS) at NAU and the Department of Computer Science at USP. His research focuses on the Human Aspects of Software Engineering , including Software Engineering Education , Computer Supported Cooperative Work (CSCW) , and AI-Assisted Software Engineering . He has published extensively on topics such as Open Source Software development, Bots and Chatbots in software engineering, and Mining Software Repositories techniques. His recent work explores Using Large Language Models (LLMs) for educational purposes in programming, data science, and software engineering Developing chatbots to facilitate newcomer onboarding to OSS projects Investigating the evolution of Integrated Development Environments (IDEs) Assessing the impact of software bots on projects Understanding how to design effective chatbot languages Dr. Gerosa has received numerous scientific awards, including ACM SIGSOFT Distinguished Paper Award Best paper awards at ICSE and International Symposium on Open Collaboration IEEE Computer Society TCSE Distinguished Paper and Service Awards Productivity grants from CNPq (Brazilian Council for Scientific and Technological Development) He has graduated numerous PhD students who are now researchers in top institutions worldwide and has been a mentor to many more at various levels. His research projects have secured over USD 1 million in funding. Dr. Gerosa is also involved in the development of tools and environments for software engineering, including MetricMiner for repository analysis and various gamification platforms to enhance developer engagement. He brings over 25 years of teaching experience across multiple universities, teaching courses ranging from Introduction to Programming to Advanced Topics on Web Development and Collaborative Systems Development.

• Information Systems
• Artificial Intelligence
• Data Visualization
• +۴ مورد دیگر

Peter McBrien is an Associate Professor in the Department of Computing at Imperial College London, affiliated with the Faculty of Engineering. He holds dual affiliations with the Distributed Software Engineering group. His research focuses on conceptual modeling, ontology engineering, database systems, and temporal data management. He has been active in advancing techniques for data visualization, semantic web technologies, and relational database integration. Key research areas include: Ontology extraction from relational databases Type inference in transactional systems Schema transformation between heterogeneous models Peer-to-peer data integration protocols Temporal database systems His publication trends emphasize integration of heterogeneous data sources through formal methods, with notable contributions to OWL ontology implementation, hypergraph data models, and benchmarking big data query languages. Recent work focuses on Spark-based semantic reasoning and distributed knowledge exchange systems. Peter McBrien's research has been supported through Imperial College's infrastructure, with ongoing contributions to the AutoMed data integration framework and RoDEx protocols for unreliable networks. His work bridges theoretical foundations of data management with practical implementations in distributed systems.

• Computation Theory and Mathematics
• Computer Software
• Blockchain Technology
• +۳ مورد دیگر

Ben Livshits is a Reader in Computing at Imperial College London's Department of Computing, part of the Faculty of Engineering. His research focuses on computation theory, computer software, and privacy-preserving technologies in blockchain systems. He holds a Ph.D. from Stanford University. Education: Ph.D. in Computer Science, Stanford University, 2007 Research Interests: Livshits specializes in cryptographic protocols for decentralized systems, ZK-Rollups optimization, MEV analysis, and privacy-enhancing technologies. His work bridges theoretical computer science with practical applications in blockchain scalability and security. Recent Research Trends: His 2024-2025 work emphasizes ZK-proof systems (e.g., zk-bench), MEV mitigation strategies, and formal foundations for rollups. He also explores community-driven verification (CrowdProve) and governance mechanisms for DeFi. Affiliations: He is affiliated with the Centre for Cryptocurrency Research and Engineering, contributing to interdisciplinary blockchain research. Grants & Labs: While specific grants are not listed, his work suggests involvement in Imperial's distributed systems and blockchain initiatives.

• Artificial Intelligence (AI)
• Machine Learning Algorithms
• AI Ethics
• +۴ مورد دیگر

Daswin De Silva is a Full Professor of AI and Analytics at La Trobe University, Australia, and Deputy Director of the Centre for Data Analytics and Cognition (CDAC). He also holds an Adjunct Professor position at Lulea University of Technology, Sweden. His expertise spans AI ethics, algorithm development, and applications in healthcare, energy, and education. He leads major initiatives like the La Trobe Energy AI Platform for net-zero emissions and the OptusU AI Micro-credentials program. Education: PhD in AI (Monash University, 2011). Awards include the Australian Awards for University Teaching (2021), Vice-Chancellor’s Teaching Award (2019), and Mid-Career Research Excellence Award (2018). Editor of five journals including IEEE Transactions on Industrial Informatics and Springer Discover AI. Research focuses on generative AI, ethical AI systems, and vector symbolic architectures. Recent work includes AI applications in healthcare diagnostics, energy efficiency, and smart cities. He has secured AU$14M in research funding and supervised 15 PhD completions with 10 current students. Leadership roles include Deputy Chair of La Trobe’s Research & Graduate Studies Committee and chairmanship of IEEE committees on Responsible AI and Web/Information Systems. Keynote speaker at global conferences like IEEE HSI, INDIN, and ETFA. Media engagements include ABC News, Forbes, and The Conversation.

Prashant Shenoyمشاهده پروفایل

استاد

• Distributed Systems
• Networking
• Cloud Computing
• +۷ مورد دیگر

Prashant Shenoy is a Distinguished Professor and Associate Dean in the College of Information and Computer Sciences at the University of Massachusetts Amherst. He has been on the faculty since 1998 and heads the Laboratory for Advanced Systems Software while directing the Center for Smart and Connected Society. His research focuses on systems issues for distributed systems ranging from large server clusters to networks of small sensors. Shenoy received his PhD in Computer Science from the University of Texas at Austin in 1998, following an MS from the same institution in 1994. He earned his BTech in Computer Science and Engineering from the Indian Institute of Technology, Bombay in 1993. His academic progression at UMass Amherst has been from Assistant Professor (1998-2004) to Associate Professor (2004-2009) to Professor (2009-2020) to Distinguished Professor (2020-present). His primary research interests include distributed systems, networking, cloud and edge computing, mobile computing and Internet of Things, and energy and sustainability. Over the past decade, his work has increasingly focused on computational decarbonization, as evidenced by his recent $12 million NSF Expedition award in this area. His research group maintains several important resources including the UMass Trace Repository, UMass CS Weather Station, BenchLab, and Smart* Dataset. Shenoy's publications reflect a progression from foundational distributed systems work to increasingly sustainability-focused research. His recent work centers on carbon-aware computing, energy optimization, and computational decarbonization across various computing domains including cloud, edge, and IoT systems. ACM Fellow (2019) AAAS Fellow (2018) IEEE Fellow (2013) ACM Sigmetrics Test of Time Award (2016) NSF Career Award recipient Conti Research Fellowship recipient Lilly Foundation Teaching Fellow As an educator, Shenoy has consistently taught Distributed and Operating Systems (Compsci 677) and has mentored numerous PhD students who have received awards and gone on to successful careers. He serves as the founding Chair of the ACM Special Interest Group on Energy (SIGEnergy) and has organized numerous conferences including serving as PC chairs for the ACM Symposium on Edge Computing in 2025. His research has secured significant funding, including a recent $12 million NSF Expedition in Computational Decarbonization awarded in May 2024. Shenoy leads the Laboratory for Advanced Systems Software at UMass Amherst and directs the Center for Smart and Connected Society. He serves on editorial boards of several journals including ACM Transactions on IOT (TIOT), ACM Modeling and Performance Evaluation of Computing Systems (TOMPECS), and ACM Transactions on the Web (TWEB).

• Cybersecurity
• Cybercrime
• Information Security
• +۳ مورد دیگر

Marianne Junger is a Full Professor in the Department of Industrial Engineering & Business Information Systems. Her research focuses on cybercrime, ransomware, phishing, and cybersecurity policy. She has published extensively on topics such as attacker behavior in dark web forums, ransomware economics, and fraud victimization factors. Her work bridges criminology and cybersecurity, analyzing crime scripts, victim profiles, and law enforcement strategies. Key research interests include: Cybercriminal communication platforms Ransomware negotiation tactics and profitability Phishing adaptation during crises Victim reporting behavior and fraud awareness Cybercrime coordination models Recent articles analyze ransomware attack economics, dark web forum user behavior, and victim deception dynamics. Over 140+ publications span conference proceedings, journals, and datasets like the ransomware attack analysis in Zenodo. Active collaborations include global cybercrime studies and law enforcement intervention evaluations. Media contributions include discussions on European cybercrime prevalence. Her work informs cybersecurity policy through empirical social science frameworks.

• Neuroscience
• Parasitology
• Sensory Neurobiology
• +۶ مورد دیگر

Elissa A Hallem is a Professor in the Department of Microbiology, Immunology, and Molecular Genetics at the David Geffen School of Medicine, University of California, Los Angeles (UCLA) . Her research lies at the intersection of neurobiology and parasitology , focusing on the sensory neural circuits that drive host-seeking behavior in skin-penetrating nematodes like Strongyloides stercoralis , a human-parasitic worm. She also investigates chemosensation , host-pathogen interactions , and sensory plasticity using both parasitic nematodes and the free-living Caenorhabditis elegans as comparative models. Education BA in Biology and Chemistry from Williams College (1999) PhD in Neuroscience from Yale University (2005) Postdoctoral training in Biology at Caltech (2010) Research Focus Her work addresses fundamental questions about how sensory circuits enable parasitic worms to detect and infect hosts. Key findings reveal the neural basis of heat seeking , chemosensory valence , and experience-dependent plasticity in nematodes. She has developed genetic tools for Strongyloides and studies steroid hormone pathways in Pristionchus pacificus . Scientific Awards 2023: UCLA Life Sciences Excellence in Research Award 2020: UCLA Faculty Mentor Award 2016: HHMI Faculty Scholar Award 2015: Burroughs-Wellcome Fund Investigators in the Pathogenesis of Disease Award 2014: NIH Director's New Innovator Award 2012: MacArthur Fellowship 2011: Rita Allen Foundation Fellowship Lab Overview The Hallem Lab at UCLA emphasizes inclusive research and tool development for parasitic nematode studies, aiming to uncover novel strategies for preventing infections through understanding sensory-driven parasitic mechanisms.

Adel Abdelnabyمشاهده پروفایل

دانشیار

• Structural dynamics
• Earthquake engineering
• Structural health monitoring
• +۶ مورد دیگر

Dr. Adel Abdelnaby is an Associate Professor in the Department of Civil, Construction, and Environmental Engineering at The University of Memphis College of Engineering. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (2012) and has been on the faculty since fall 2012. Dr. Abdelnaby is a licensed Professional Engineer (P.E.) in multiple states and a licensed Structural Engineer (S.E.) in Illinois. His research interests span structural dynamics, earthquake engineering, structural health monitoring, life-cycle analysis of structures, application of innovative materials, and nonlinear finite element methods. He specializes in analyzing structures subjected to multiple hazards and developing methods for structural assessment and improvement. Dr. Abdelnaby's publications reveal a strong focus on earthquake engineering, particularly the effects of multiple earthquakes on reinforced concrete structures. His work includes fragility analysis, hybrid simulation techniques, and vulnerability assessment of bridges and buildings. He has established the Multi-Axial Testing and Simulation (MAT-SIM) Facility at the University of Memphis for advanced structural testing. Engaged Learning Fellowship for redesigning undergraduate steel design courses American Institute of Steel Construction Educator Workshop participant Dr. Abdelnaby has advised numerous graduate students on topics including semi-rigid steel connections, multiple earthquake effects, fragility analysis, and structural health monitoring. He directs the MAT-SIM facility, which includes sophisticated equipment for structural testing under complex loading conditions. His professional affiliations include ASCE, AISC, ACI, EERI, and ASEE, and he serves as a reviewer for several structural engineering journals.

Kevin Dillonمشاهده پروفایل

دانشیار

• Marine Biogeochemistry
• Food Web Dynamics
• Groundwater Hydrology
• +۴ مورد دیگر

Dr. Kevin Dillon is an Associate Professor at the University of Southern Mississippi (USM) in the Division of Coastal Sciences within the School of Ocean Science and Engineering. His primary affiliation is at the Gulf Coast Research Laboratory in Ocean Springs, Mississippi. He holds a PhD in Groundwater Hydrology from Florida State University (2003), an MS in Chemical Oceanography from the same institution (1998), and a BS from the University of West Florida (1991). Dr. Dillon's research focuses on marine biogeochemistry, food web dynamics, and groundwater hydrology. He specializes in using stable isotopes to investigate nutrient cycling, trophic interactions in coastal ecosystems, and the impact of human activities such as nutrient pollution and artificial reefs. His work includes studies on restored wetlands, Sargassum communities, and the effects of riverine inputs on coastal acidification and nutrient dynamics. He teaches courses such as Coastal Processes I, Stable Isotope Ecology, Water Quality, and Microbial Oceanography. His recent publications (2019–2025) emphasize trophic dynamics in Gulf of Mexico ecosystems, artificial reef impacts, and biogeochemical responses to altered freshwater flows. Notable studies include assessments of red snapper ecology, sargassum-associated juvenile fish trophic interactions, and the role of stable isotopes in quantifying ecosystem processes. No scientific awards are explicitly mentioned in the provided texts. His advising and grants are not detailed here, but his research has received support from institutions like the Mississippi Water Resources Research Institute and USGS. He is actively involved in coastal conservation and restoration projects, though specific lab affiliations are not listed.

Bruce Wigginsمشاهده پروفایل

دانشیار

• Audio Engineering
• 3D Audio
• Ambisonics
• +۵ مورد دیگر

Bruce Wiggins is an Associate Professor in Audio Engineering at the College of Science and Engineering. His research focuses on spatial audio technologies, including Ambisonics, binaural auralization, and 3D audio systems. Notable projects include the GASP guitar system and WHAM webcam-based head-tracked audio solutions. He has contributed to advancements in microphone array calibration, speaker array modeling, and virtual reality audio integration. His work bridges theory with practical applications in music technology and acoustic engineering. Education: PhD in Audio Engineering (2004). Research Interests: Ambisonics, spatial audio capture and reproduction, 3D audio for virtual reality, binaural rendering, and innovative musical instrument design. His work emphasizes practical implementations such as the GASP guitar system and calibration tools for low-cost microphone arrays. Article Trends: Recent publications address virtual stereo microphone techniques (2024), dynamic electrical systems (2024), and browser-based 3D audio (2023). Earlier work explores head-tracking algorithms (2016–2020) and acoustic modeling for domestic environments (2017). Grants/Advising: No explicit grants listed. Advising details unavailable but has collaborated with numerous researchers on projects like WHAM and GASP. Labs/Teams: Active in interdisciplinary teams developing spatial audio tools and instruments, including collaborations on virtual reality auralization and ambisonic guitar systems.

Nashid Shahriarمشاهده پروفایل

استادیار

• Computer Networks
• 5G Mobile Networks
• Resource Allocation
• +۵ مورد دیگر

Nashid Shahriar is an Assistant Professor in the Department of Computer Science at the University of Regina, Faculty of Science. His research addresses resource allocation challenges in next-generation networks including 5G, elastic optical networks, cloud infrastructures, and IoT systems. He holds a Ph.D. in Computer Science from the University of Waterloo, an M.Sc. from Bangladesh University of Engineering and Technology (BUET), and a B.Sc. from BUET. His work leverages optimization, machine learning, and AI for network management. Recent publications focus on 5G network slicing, intrusion detection, and NFV security. Research emphasizes practical AI-driven solutions for telecommunications and cloud systems.

• Applied Statistics
• Climate Change
• Conservation Ecology
• +۷ مورد دیگر

Prof. Dr.-Ing. Danijela Markovic-Bredthauer is a Professor at the Faculty of Economics and Social Sciences, Hochschule Osnabrück - University of Applied Sciences. She holds a PhD in Civil Engineering from the University of Kassel. Her research focuses on applied statistics, climate change, conservation ecology, water resources, econometrics, and banking, with a strong emphasis on data mining techniques and statistical modeling. Education: PhD in Civil Engineering (University of Kassel). Professional Background: Previously worked as a business consultant in IT, risk management, and financial consultancy before returning to academia. Led a research group and contributed to projects like ECOPOTENTIAL and STATY. Research Interests: Biodiversity conservation, freshwater ecosystems vulnerability, climate impacts on land cover, and statistical modeling applications across environmental and economic domains. She developed the STATY web app to enhance data literacy in education and research. Funding & Projects: Key projects include SQM-funded STATY, DFG-supported climate vulnerability studies, and EU Horizon 2020's ECOPOTENTIAL, focusing on Earth observations for ecosystem management. Future Work: Continues advancing interdisciplinary research in climate change adaptation, freshwater conservation, and data-driven decision-making tools for education and industry.

Raman Adaikkalavanمشاهده پروفایل

استاد

• Information Security (IoT, Android)
• Data Streaming
• Computer Science Education
• +۳ مورد دیگر

Dr. Raman Adaikkalavan is a Professor in the Department of Computer and Information Sciences at Indiana University South Bend (IUSB), and serves as Associate Vice Chancellor for Enrollment Management. He holds a Ph.D. in Computer Science and Engineering from the University of Texas at Arlington (2006), and has extensive academic leadership experience. His research focuses on information security (particularly IoT and Android), data streaming, and computer science education. Notable contributions include developing the IU Test web-based assessment tool and advancing secure data stream processing architectures. Education: B.E. (1999) from Bharathidasan University, M.S. and Ph.D. (2002/2006) from University of Texas at Arlington, with additional certificates in online teaching (2013). Research emphasizes practical applications like secure stream processing in cloud environments and improving pedagogical methods through active learning. His work has been supported by NSF grants and institutional funding. Awards include the IU Trustees' Teaching Award (2011) and recognition as a University Scholar (UT Arlington). He advises students on topics like secure data stream processing and software engineering. Collaborations include projects with Dr. Indrakshi Ray (Colorado State) and Dr. Sharma Chakravarthy (UT Arlington). His IU Test system aids in program assessment and accreditation reporting for ABET.

Eike Schneidersمشاهده پروفایل

مدرس

• Human-Computer and Robot Interaction
• Human-AI Interaction focusing on generative AI and its impact on society
• Multidisciplinary research in collaboration with artists, medical professionals, and lawyers

Dr. Eike Schneiders is a Lecturer at the School of Electronics and Computer Science, University of Southampton. He holds a PhD in Computer Science from Aalborg University and is a recipient of the UKRI Trustworthy Autonomous Systems Hub Early Career Researcher Award. His research focuses on autonomous and AI-infused systems, investigating how to ensure their trustworthiness and responsible interaction with humans and other agents through interdisciplinary collaborations across art, law, and medicine. His recent work explores the societal impact of Generative AI, particularly examining its influence on legal services accessibility for non-experts through the REGALS project (Principal Investigator) and its effects on creative communities via the ART-I project (Co-Investigator). Dr. Schneiders emphasizes public engagement to enhance AI literacy and employs both qualitative and quantitative methods to study human-computer interaction and ethical implications. Dr. Schneiders teaches courses including COMP6251 (Web and Cloud Application Development), ELEC6259 (Research Methods and Project Preparation), and ELEC6200 (Group Design Project). His pedagogical approach integrates foundational technical skills with critical research methodologies. He has led several interdisciplinary projects including ARTificial Intelligence: Show Me a Story about AI (ART-I) and Responsible Employment of Generative AI for Legal Services (REGALS), and contributes to the Agents, Interaction and Complexity research group. His Cat Royale project received the 2024 Webby Award for Best Integrated Experience. Honors include the Best Paper Award at ACM CHI 2024, multiple Honourable Mentions at CHI and TAS Symposiums, and membership in the Foundation for Science and Technology's Future Leaders Programme.

Ernesto Jiménez-Ruizمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Knowledge Graphs
• Semantic Web Technologies
• +۵ مورد دیگر

Dr. Ernesto Jiménez-Ruiz is a Senior Lecturer in Artificial Intelligence and Director of Research at City, University of London. He holds a PhD from Jaume I University, Spain (2010), and has held academic positions since 2010. His research focuses on knowledge graphs, ontology alignment, semantic web technologies, and neuro-symbolic AI. Currently, he teaches modules on semantic web technologies and research methods. He leads the Research Center affiliated with City St George's, University of London. Administrative Roles: Director of Research (2024–present), Senior Tutor for Research (2023–2024) Research Interests: AI, knowledge representation, ontology alignment, semantic integration, and biomedical informatics. His work bridges machine learning and symbolic reasoning, with contributions to ontology matching and knowledge graph embeddings. He supervises PhD students in areas like knowledge graph alignment and neuro-symbolic systems. Awards: SWSA Ten-Year Award (2021) for influential ontology alignment work. He is a Fellow of AdvanceHE (FHEA). Grants & Collaborations: Leads projects on semantic industrial data modeling and collaborates with Samsung Research UK, Bosch, and Statoil. Active in initiatives like the Turing Institute's Knowledge Graph Interest Group.