جستجوی استاد راهنمای دانشگاهی

• Water Resources Engineering
• Hydrologic Modeling
• Hydraulic Engineering
• +۵ مورد دیگر

Dr. Abi Nazari Geykli serves as Assistant Professor in the Applied Engineering & Technology Management Department at Indiana State University's Bailey College of Engineering & Technology since August 2024. Previously, he held postdoctoral positions at the University of Alabama at Birmingham (2024) and University of Memphis (2022). His academic credentials include: Ph.D. in Civil/Hydrotechnical Engineering, Azerbaijan University of Architecture and Construction (2014) M.S. in Civil/Water Resources Engineering, Sharif University of Technology (2003) B.S. in Agricultural Engineering (Water Resource Engineering), University of Tabriz (2000) Specializing in Water Resources Engineering , his research integrates hydrologic-hydraulic modeling with machine learning to address climate change impacts, urbanization effects, and flood risk. Key focus areas include groundwater recharge mechanisms , contaminant transport , and sustainable infrastructure resilience , leveraging AI/remote sensing for environmental solutions. His methodology bridges theoretical principles with real-world applications in watershed management. Analysis of his 2022-2025 publications reveals consistent emphasis on urban hydrology challenges, particularly flood modeling using multivariable ML approaches (2023), aquifer recharge under land-use changes (2023), and deep learning for streamflow prediction (2025). This demonstrates an evolving trajectory toward data-driven solutions for climate-urbanization interactions in water systems. Current research initiatives include: Principal Investigator: $7,500 project on Vigo County flood/pollutant transport (2025-2028) Principal Investigator: $4,154 Terre Haute wastewater management study using SWAT+ modeling (2025-2026) Co-PI: $4,708 nanocomposites materials research (2025-2026) He also serves as peer reviewer for ASCE Journal of Hydraulic Engineering, Ain Shams Engineering Journal, and other prominent publications.

John Morrisonمشاهده پروفایل

استاد

• Parallel Distributed Computing
• Grid Computing
• Cloud Computing
• +۲ مورد دیگر

Professor John Morrison is the founder and director of the Centre for Unified Computing and co-founder of the Boole Centre for Research in Informatics at University College Cork. With qualifications including BSc, MSc, PhD, and DipTLHE, his research focuses on parallel distributed computing, grid technologies, and cloud architectures. His primary research explores: Self-organizing cloud management systems Heterogeneous computing environments Energy-efficient cloud infrastructure Grid computing middleware Professor Morrison's publications demonstrate strong focus on cloud computing optimization, distributed systems, and virtual reality applications in healthcare and education. Recent work emphasizes scalable resource management and trust systems in cloud environments. Honors include: Senior Member of ACM Senior Member of IEEE He has secured significant research funding including: €883,226 from Horizon 2020 for CloudLightning Project €379,111 from Enterprise Ireland for Cloud Computing Centre €646,604 from Higher Education Authority for Biophotonics Platform He leads the MAVRIC Research Lab focusing on immersive computing technologies and serves on editorial boards for multiple journals including Journal of SuperComputing.

• Cultural Geography
• Community Wellbeing
• Sound Studies
• +۳ مورد دیگر

Associate Professor Michelle Duffy is a cultural geographer at the University of Newcastle's School of Environmental and Life Sciences, affiliated with the Centre for Urban and Regional Studies (CURS). Her research explores how emotions, sound, and movement shape human-environment relationships, focusing on festivals, community resilience, and regional development. She holds a PhD from the University of Melbourne and has held academic positions at Monash University and Federation University Australia. Education: PhD (Cultural Geography, University of Melbourne), Bachelor of Applied Science (RMIT), Bachelor of Music (Honours, University of Melbourne), Bachelor of Arts (Honours, University of Melbourne). Research Interests: Emotion and affect in place-making, sound-based methodologies, festival studies, community wellbeing post-disasters, and regional resilience. She pioneered projects like the Hazelwood Health Study's Community Wellbeing Stream, investigating the impact of the 2014 coal mine fire on Morwell, Victoria. Her work emphasizes participatory methods, including sound art exhibitions and creative practices to amplify community voices. Grants and Funding: Over $515,000 in grants, including the Hazelwood Long-Term Health Study ($335,500) and projects on regional resilience and festival networks. She has led evaluations of mental health initiatives like the Suicide Safer Schools program. Labs/Teams: Collaborations with the Hazelwood Health Study team, Federation University’s research networks, and interdisciplinary projects on climate anxiety and mobility justice. Current focus includes speculative listening practices and reimagining festivals as social infrastructure.

Seif Haridiمشاهده پروفایل

استاد

• Parallel Computing
• Distributed Computing
• Cloud Computing
• +۴ مورد دیگر

Seif Haridi is a Professor at KTH Royal Institute of Technology in Stockholm, Sweden, specializing in parallel and distributed computing systems. He holds dual roles as Chair-Professor of Computer Systems and Chief Scientific Advisor at RISE SICS. His research integrates systems engineering with theoretical foundations, focusing on programming systems, distributed computing, and big data technologies. Key contributions include co-designing SICStus Prolog, the Mozart Programming System, and Apache Flink, as well as leading the development of HOPS, a European big data platform awarded the IEEE Scale Prize 2017. He has led major EU projects like EIT-Digital’s cloud computing initiative and co-founded startups such as LogicalClocks and HiveStreaming. His teaching includes courses on distributed algorithms and peer-to-peer computing at KTH. Notable awards include the European Data Science Technology Innovation 2019. His work spans systems like HOPS, Flink, and Kompics, emphasizing scalability and robustness in distributed environments. Current projects include CDA (Continuous Deep Analytics) and ExtremeEarth for geospatial data analysis. Research interests include distributed algorithms, consensus protocols, and cloud-native systems. His lab’s contributions to scalable storage (e.g., HopsFS) and stream processing (Apache Flink) highlight his impact on both academia and industry.

Daryl Trumboمشاهده پروفایل

پژوهشگر

• Conservation Biology
• Genetics
• Ecology
• +۳ مورد دیگر

Daryl Trumbo is a researcher specializing in conservation genetics, evolutionary biology, and wildlife ecology. His work focuses on understanding how human activities such as hunting, urbanization, and habitat fragmentation impact genetic diversity, population structure, and disease dynamics in wild animal populations. He has conducted extensive studies on large carnivores like pumas and bobcats, examining viral transmission and the genetic consequences of human disturbance. His research also explores invasive species adaptation, such as the cane toad in Australia, and uses cutting-edge genomic tools to model species' responses to environmental pressures. Key themes include the interplay between landscape connectivity, host relatedness, and pathogen spread, as well as the development of novel methods like machine learning for genomic analysis. Research Interests: Conservation genomics, viral evolution in wildlife, urban-wildlife interactions, invasive species adaptation, and genetic connectivity. Methodologies: Integrates genomic data with ecological sampling, landscape genetics, and computational modeling. Trumbo's publications highlight the importance of considering anthropogenic factors in species conservation, particularly for endangered and keystone species. His work bridges ecological and genetic perspectives to inform management strategies aimed at preserving biodiversity in rapidly changing environments.

Sanjay G. Raoمشاهده پروفایل

استاد

• Network Synthesis and Design
• Internet Video Distribution
• Computer Networking
• +۳ مورد دیگر

Sanjay G. Rao is a Professor in the School of Electrical and Computer Engineering at Purdue University, with a courtesy appointment in Computer Science. He joined Purdue in 2005 and has held positions as Assistant, Associate, and full Professor since then. His research focuses on network synthesis, verification, and Internet video distribution. He has been recognized with the NSF CAREER Award and ACM SIGMETRICS Test of Time Award for his foundational work on End System Multicast. Education: B.Tech in Computer Science and Engineering, Indian Institute of Technology, Madras (1997) M.S. and Ph.D. in Computer Science, Carnegie Mellon University (2000, 2004) Research Interests: His work spans network design and verification, Internet video distribution, and cloud computing. Recent projects include causal reasoning for video streaming, 360° video optimization, and resilient routing algorithms. He leads the Internet Systems Laboratory at Purdue, which develops systems for network performance guarantees and video delivery innovations. Articles Trends: Recent work emphasizes causal inference in video streaming (e.g., Veritas) and perceptual quality for next-generation video (e.g., Dragonfly). Longstanding focus on network synthesis: PCF (2020) and Robust Validation (2017) address resilient design under uncertainty. Early contributions like End System Multicast (2002) pioneered peer-to-peer video streaming. Awards: NSF CAREER Award (2010) ACM SIGMETRICS Test of Time Award (2011) ACM Distinguished Member (2021) Purdue Seed of Success Award (2017) Advising & Grants: Supervised 15+ PhD students, many now in academia and industry (e.g., Meta, Google, AT&T). Secured $4M+ in grants from NSF, industry (Google, Cisco, Amazon), and federal programs. Notable grants include NSF support for video optimization (2022-2025) and network synthesis (2023-2027). Labs & Teams: Internet Systems Laboratory (ISL): Focuses on scalable network solutions and video streaming. Collaborations with industry (e.g., Amazon Prime Video, Meta) on real-world deployment challenges.

• Environmental Policy
• Energy Systems Transition
• Waste Management
• +۷ مورد دیگر

Professor Phil Longhurst is a faculty member at Cranfield University, holding the Chair of Environment and Energy Technology in the School of Water, Energy & Environment . He leads the Centre for Renewable and Low Carbon Energy and serves as Director of Partnerships, bridging academia with industry and government clients. His academic background includes a PhD in Innovation & Technology Assessment, a degree in Design and Technology, and a B.Ed. (Hons). Prior to academia, he worked in the furniture industry and trained as a Design and Technology educator, developing educational wind tunnel demonstrators. His research focuses on waste management innovation , including material recovery from waste streams, energy-from-waste applications, and pollution prevention. Key projects involve risk assessments for agricultural use of composts (PAS100) and anaerobic digestates (PAS110), trace metal recovery from contaminated land, and systems modeling for waste minimization and net-zero transitions. He has pioneered methods like mechanical-biological treatment (MBT) of solid waste and solid recovered fuels (SRF) quality analysis. Professor Longhurst collaborates with major institutions such as EPSRC, NERC, Defra, BEIS , and industrial partners like Viridor, Biffa, Boeing . He teaches in Energy, Environment, and Agrifood themes while supervising doctoral researchers. Recent work includes contributions to HM Treasury’s Infrastructure study via the Engineering Interdependencies Expert Group (EIEG) and developing short courses on biowaste regulation and odour control. His research emphasizes cross-sector collaboration, environmental policy implementation, and transitioning energy systems to net-zero. Clients span government departments (e.g., HM Treasury, UK Water Industry Research), NGOs, and commercial sponsors. Phil has also evaluated methane diffusion dynamics in coal gasification and pioneered neural network-based approaches for solar PV adoption modeling.

Samee U. Khanمشاهده پروفایل

استاد

• Quantum Computing
• Edge Computing
• Fog Computing
• +۴ مورد دیگر

Samee U. Khan is a Professor in the Department of Electrical & Computer Engineering at Mississippi State University (MSU), affiliated with the Bagley College of Engineering. He holds a Ph.D. from the University of Texas (2007) and a B.S. from GIK Institute of Engineering & Technology (1999). His research focuses on optimization, robustness, and security of computer systems, with recent emphasis on quantum computing, edge/fog computing, and machine learning applications in neuroscience and cybersecurity. Key research interests include quantum algorithm development, edge computing architectures, and neuro-inspired systems. His work integrates quantum computing with traditional machine learning to address challenges in visual perception modeling and medical imaging analysis. He also explores fog computing frameworks for IoT and distributed systems, emphasizing security and efficiency in heterogeneous environments. Publications highlight advancements in quantum noise mitigation, hybrid quantum optimization, and brain-computer interface models. His contributions span simulation toolkits like iFogSim and frameworks for vehicular networks and blockchain-based resource management. Khan’s research bridges theoretical computer science with practical applications in smart homes, healthcare, and autonomous systems.

Zia Ush Shamszamanمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• AI Governance
• Secure and Safe AI
• +۵ مورد دیگر

Dr. Zia Ush Shamszaman is a Senior Lecturer in Computer Science at Teesside University's School of Computing, Engineering & Digital Technologies (SCEDT). He holds a PhD in Computer Science from the University of Galway and a Master's from Hankuk University of Foreign Studies. His research focuses on Cybersecurity, AI Ethics, IoT Resilience, and Game Theory applications, with a strong emphasis on bridging academic research with industry applications. Teaching responsibilities include postgraduate modules on AI Ethics, Cyber Risk Management, and Ethical Hacking, alongside undergraduate courses in Secure Data Acquisition and Ethical Hacking. He actively supervises five PhD students in cybersecurity and AI, advocating for inclusive technology education and societal impact. Professional memberships include IEEE (Senior Member), Elsevier Advisory Panel, and W3C. He has organized conferences like the International Conference on Suitable Technologies 4.0 and served on program committees for major events. Recognized for exceptional peer reviewing, he has received awards from leading journals like the Journal of Network and Computer Applications and Future Generation Computer Systems. Current projects funded by Innovate UK include CyberPathway (diversity in cybersecurity education), SafeSCMS (AI-driven supply chain security), and Opera-CyberThemis (trustworthy AI frameworks). Past industry roles include technical leadership in Bangladesh's government projects like the Machine Readable Passport system and World Bank-funded Bangladesh Automated Clearing House initiative. Shamszaman's work spans industry collaborations, academic leadership, and community engagement, with recent media contributions on GenAI governance and cyber resilience strategies. His research integrates theoretical advancements with practical solutions for SMEs, healthcare systems, and underserved communities.

Floriment Klinakuمشاهده پروفایل

پژوهشگر

• Software Engineering
• Cloud Computing
• Elasticity in Cloud Applications
• +۵ مورد دیگر

Floriment Klinaku is a Researcher and Doctoral Researcher at the University of Stuttgart , affiliated with the Software Quality and Architecture Group . His work focuses on elasticity modeling , cloud-native systems , and performance optimization for modern software architectures. He contributes to projects like the Slingshot Simulator , which addresses autoscaling and resource management challenges in containerized environments. Research Interests include: Autoscaling mechanisms for cloud applications Elasticity and resilience in microservices Data stream processing in cloud environments Performance prototyping for containerized systems DevOps practices for automotive software His publications emphasize architectural solutions for scalability, resilience, and explainability in cloud-native ecosystems. Current trends in his work involve model-driven engineering approaches to coordinate autoscaling policies and quantify impact of design decisions on system behavior. No scientific awards are explicitly listed, and no advising/grant information is provided. He is part of the Software Quality and Architecture Group , contributing to research on cloud performance and elastic systems.

Jenny Davisمشاهده پروفایل

استاد

• Freshwater Ecology
• Groundwater Ecosystems
• Arid Zone Biodiversity
• +۳ مورد دیگر

Professor Jenny Davis is a leading environmental scientist specializing in freshwater ecology at Charles Darwin University, affiliated with the College of Engineering, IT and Environment and the Research Institute for Environment and Livelihoods. Her research focuses on groundwater-dependent ecosystems in arid, semi-arid, and tropical regions, addressing critical questions about environmental water needs and biodiversity conservation. She has been involved in six major research projects, including climate change risk assessments in Northern Territory ecosystems and the Beetaloo GBA Baseline Survey Program. Her work contributes to UN Sustainable Development Goals, particularly those related to life on land and water conservation. Awards: Murdoch University Vice-Chancellor's Award for Excellence in Postgraduate Supervision (2004), Australian Society for Limnology Medal (2006) Grants/Projects: Over $3 million in funding for initiatives such as groundwater security projects and water security programs in Northern Australia. Her research emphasizes the role of groundwater refugia and the impacts of climate change on arid zone biodiversity. She has published over 200 peer-reviewed papers and technical reports, advancing knowledge in freshwater ecology and sustainable resource management.

Bogdan Ghitaمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Security
• IoT Security
• +۸ مورد دیگر

Dr. Bogdan Ghita is an Associate Professor and Associate Dean International in the Faculty of Science and Engineering at the University of Plymouth. His primary affiliation is with the School of Engineering, Computing and Mathematics. He leads network research within the Centre for Security, Communications, and Network Research. His research focuses on cybersecurity, IoT security, machine learning applications in networking, blockchain technology, network function virtualization, and disaster communication systems. He has supervised over 20 PhD students on topics ranging from smart grid optimization to network intrusion detection. Teaching responsibilities include undergraduate courses like Cyber Security and Networks, Ethical Hacking, and Network Monitoring, as well as postgraduate modules in Ethical Hacking. He actively contributes to curriculum development in online education and cybersecurity pedagogy. Key research themes include: Network slicing and NFV in disaster recovery systems Cybersecurity for IoT and industrial systems Machine learning for network anomaly detection Blockchain-based trust management for M2M services Forensic analysis of digital evidence His recent work explores AI-driven personalized education frameworks and quantum-resistant cryptographic schemes. He has published extensively in top-tier conferences/journals with a focus on applying computational methods to solve real-world cybersecurity challenges.

Iacopo Colonnelliمشاهده پروفایل

استادیار

• Scientific Workflow Systems
• High-Performance Computing
• Cloud Computing
• +۶ مورد دیگر

Iacopo Colonnelli is an Assistant Professor (RTDA) at the University of Turin's Computer Science Department and a member of the Alpha Research Group (Parallel Computing) and CINI HPC Key Technologies and Tools lab. He has established himself as a leading researcher in scientific workflow systems, bridging cloud computing and high-performance computing environments. His research focuses on workflow modeling and management in heterogeneous distributed architectures, with significant contributions through open-source tools including StreamFlow (a container-native workflow management system), Jupyter Workflow, and CAPIO (middleware for I/O streaming). These tools enable hybrid workflows execution on cloud-HPC infrastructures and have gained recognition through multiple European projects and initiatives. Colonnelli's publication record shows consistent output in top venues related to parallel and distributed computing, with recent work focusing on federated learning, confidential computing, and workflow standardization. His most recent publications (2024-2026) demonstrate strong engagement with cutting-edge challenges in cross-facility federated learning, workflow representation languages, and performance evaluation of confidential computing for bioinformatics applications. Scientific Awards: ITADATA 2023 Best PhD Thesis Award for 'Workflow models for heterogeneous distributed systems' StreamFlow selected as one of the three exploitable results of the EUPEX European project (2023) StreamFlow selected as an exploring technology by the EC Innovation Radar initiative (2023) 'Distributed Workflows With Jupyter' selected as Fall 2022 Editor's Choice by Future Generation Computer Systems journal HPC-Europa3 grant recipient for Barcelona Supercomputing Center visit (2019) HiPEAC grant recipient for ACACES 2019 Summer School (2019) As an active contributor to research infrastructure, Colonnelli serves as a member of the CWL Technical Team and founder of the CWL4HPC Working Group. He has organized multiple international conferences including PDP 2025 as program chair and CWLCon 2024. His service extends to numerous program committees for major HPC conferences and journals, demonstrating his standing in the international research community. Colonnelli leads significant contributions to multiple European research projects including Space Center of Excellence, European Pilot, EUPEX, TEXTAROSSA, ACROSS, DeepHealth, and HPC4AI, focusing on advancing HPC and AI technologies for scientific applications.

Yan Zhaoمشاهده پروفایل

دانشیار

• Anomaly Detection
• Autoencoder
• Attention (Machine Learning)
• +۵ مورد دیگر

Yan Zhao is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark, affiliated with The Technical Faculty of IT and Design. His research focuses on data engineering, science, and systems, with a particular emphasis on anomaly detection, machine learning, and spatio-temporal data analysis. He holds a Ph.D. in Computer Science (specific education details not explicitly provided). Research Interests: Dr. Zhao's work spans anomaly detection, autoencoders, attention mechanisms, preference learning, multivariate time series, and computational efficiency. His research often integrates machine learning with real-world applications in spatial crowdsourcing, trajectory analysis, and data privacy. Publications: With 72+ publications, his recent work emphasizes spatio-temporal prediction frameworks, federated learning, and efficient time series analysis. Notable contributions include frameworks for continuous learning on streaming data and privacy-preserving clustering in spatial crowdsourcing. Grants & Supervision: He has supervised one Ph.D. student and actively contributes to research grants focusing on data engineering and smart systems. His work bridges theoretical advancements with practical applications in transportation, social networks, and IoT.

• Artificial Intelligence and Data Science
• Data Management & Mining
• Machine Learning & Intelligence
• +۳ مورد دیگر

ZHENG Baihua serves as Professor of Computer Science at Singapore Management University's School of Computing and Information Systems (SCIS), concurrently holding leadership roles as Associate Dean for SCIS Post-Graduate Research Programmes and Director of the Master of Science in Computing programme. Currently on leave but maintaining full-time faculty status, his academic career spans over two decades with foundational training from Hong Kong University of Science and Technology. Professor Zheng's research program integrates artificial intelligence, data science, and urban computing to solve critical challenges in mobility and sustainability. His expertise centers on trajectory data management, social network analysis, and spatio-temporal modeling, with significant contributions to trajectory compression algorithms, influence minimization in social networks, and real-time traffic prediction systems. His work bridges theoretical database innovations with practical applications in smart city infrastructure and public health interventions. Analysis of recent publications (2024-2025) reveals a dominant focus on physics-informed trajectory processing, GPU-accelerated indexing for high-dimensional data, and transformer-based models for urban mobility prediction. Key trends include the fusion of graph neural networks with spatio-temporal dynamics, novel approaches to contact tracing through timeline graphs, and differentiable search techniques for structured data discovery. These works consistently target real-world deployment in transportation systems and epidemic control. No scientific awards are documented in available institutional records. Information regarding student supervision, research grants, laboratory facilities, or collaborative teams remains unspecified in current public profiles.