Find Academic Supervisors

• Automated Reasoning
• Machine Learning
• Knot Theory
• +3 more

Dr Alexei Lisitsa is a Senior Lecturer at the University of Liverpool specializing in theoretical computer science and mathematical structures. His work bridges automated reasoning, machine learning, and topological mathematics with applications in cybersecurity and network analysis. Active since at least 2008, he maintains a robust research profile with recent publications through 2025. His research focuses on computationally intensive problems in algebraic topology and formal methods. Key contributions include developing machine learning techniques for braid invariants, automating group theory proofs, and creating knot diagram analysis frameworks. This work consistently integrates experimental mathematics with computational verification, demonstrating innovative cross-disciplinary approaches to complex topological challenges. Analysis of his 2023-2025 publications reveals accelerating integration of neural networks with symbolic reasoning systems. His team pioneers applications of deep learning to traditionally intractable problems in braid theory and group presentations, while maintaining strong foundations in formal verification methods for temporal logic systems. Dr Lisitsa actively secures competitive research funding: Flexible Querying of Encrypted Graph Databases (Innovate UK, 2020) KTP with ValueChain Enterprise Systems (Innovate UK & VALUECHAIN, 2018-2022) Future AI and Robotics for Hub Space (FAIR-SPACE) (EPSRC, 2017-2021) Machine Learning for recognising tangled 3D objects (Leverhulme Trust, 2020-2023) Engineering Autonomous Space Software (EPSRC, 2008-2012) Discrete analogues of dynamical systems (NATO, 2008-2010) He supervises postgraduate research in network security and movement pattern analysis, with thesis topics including temporal logic-based intrusion detection systems and large-scale network prediction methodologies.

Raymond ChengView profile

Researcher

• Security
• Privacy
• Distributed Systems
• +5 more

Raymond Cheng is a Researcher and blockchain lecturer with a focus on security, privacy, and distributed systems. He earned his Ph.D. in Computer Science from the University of Washington and holds degrees in Physics, Electrical Engineering, and Computer Science from MIT. His research spans blockchain scalability, privacy-preserving protocols, and decentralized infrastructure. Key projects include Kariba Labs , MASQ Foundation , and Open Source Observer , where he works on tools for public goods funding, secure smart contracts, and open-source analytics. Raymond's publications highlight advancements in blockchain-based databases (FalconDB), confidential smart contracts (Ekiden), and privacy-preserving messaging (Talek). His work often intersects with internet freedom and secure, scalable systems. He co-founded multiple organizations, including the Decentralization Institute and Public Goods Foundation , and has been featured in Forbes , Wired , and MIT Technology Review for his contributions to privacy and blockchain innovation.

• Sourcing Strategy
• E-Procurement
• Supply Chain Flexibility
• +5 more

Santosh Mahapatra serves as Professor in the Operations & Information Systems Department at Clarkson University's Reh School of Business, teaching core courses including Quality Management, Logistics Strategy, Strategic Sourcing, and Environmental Supply Chain Management. Education: Ph.D. from Michigan State University Research Focus: His work bridges theoretical operations management with practical sustainability challenges, emphasizing Sourcing Strategy, E-Procurement, Supply Chain Flexibility, Environmental Management, and Remanufacturing. Key contributions address carbon footprint reduction, closed-loop operations, and risk-averse procurement in complex supply networks. Publication Trends: Recent research (2021-2024) reveals intensified focus on environmental sustainability, with significant output on closed-loop supply chains, carbon management, and luxury sector supplier development. His methodology combines empirical data analysis with mathematical modeling to solve real-world operational dilemmas.

Anders Olof LarssonView profile

Professor

• Political Communication
• Digital Political Communication
• Social Media
• +7 more

Anders Olof Larsson is a Professor at the School of Communication, Leadership and Marketing at Kristiania University College in Oslo, Norway. Originally from Sweden, he specializes in digital political communication, with particular expertise in social media platforms' role in political processes, journalism, and election campaigns. His research takes a strongly comparative approach across countries, platforms, and time periods. Professor Larsson's research interests focus on political communication in digital environments, with particular attention to how political actors use social media platforms for campaigning and public engagement. His work examines cross-national differences in digital political communication, platform-specific affordances, and longitudinal changes in how political actors utilize emerging technologies. He has conducted extensive research on Facebook, Twitter, Instagram, and newer platforms like TikTok, with special attention to comparative Scandinavian contexts. His recent publications reveal a strong focus on comparative digital political communication across multiple dimensions - comparing different countries' approaches, analyzing various social media platforms' unique characteristics, and examining longitudinal changes in digital campaigning. His work spans theoretical, methodological, and empirical contributions to understanding how digital technologies reshape political communication globally. Professor Larsson actively supervises research and has sought both master's level research assistants and PhD candidates for projects including the 'Scandinavian Political Communication During the Pandemic' initiative. He has organized academic events including the 'Comparative Digital Political Communication' preconference for the International Communication Association. His research is conducted through several collaborative projects including the DigiWorld project and CamforS (Campaigning for Strasbourg), which conducts cross-national comparisons of campaign mobilization in social media. These projects adopt comparative approaches to studying political communication across different contexts and platforms.

• Big Data Analytics
• Cloud Computing
• Data Stream Processing
• +4 more

Yanlei Diao is a Professor of Computer Science at École Polytechnique (France) with a joint appointment at the University of Massachusetts Amherst. She received her PhD from UC Berkeley in 2005. Her research focuses on scalable data systems, particularly in big data analytics, cloud computing optimization, and real-time stream processing. Research Interests: Her work spans cloud infrastructure optimization (UDAO project), explainable anomaly detection in data streams (EXAD), interactive data exploration (AIDEme), genomic data analysis (GESALL), and uncertain data management (CLARO). She leads the CEDAR team at Inria/LIX focusing on cloud-scale data exploration. Awards & Honors: ERC Consolidator Grant (2017-2023) CRA-W Borg Early Career Award (2013) NSF CAREER Award (2008) Keynote speaker at ACM DEBS 2021 and SWIFT 2023 AI Forum Best Paper Award at SIGMOD 2011 ACM SIGMOD Dissertation Honorable Mention (2005) Advising & Leadership: Mentored over 20 PhD students and postdocs, currently supervising 7 researchers. Served as PVLDB PC Co-Chair (2025-2026) and ACM SIGMOD Editor-in-Chief (2014-2019). Leads multiple projects with industry partners including Alibaba Cloud.

Mustafa AlattarView profile

Assistant Professor

• Hydrology
• Water Resources Engineering
• Surface Water and Groundwater Interaction
• +4 more

Mustafa Alattar serves as an Assistant Professor in the Department of Engineering at the American University of Iraq, Sulaimani (AUIS), where he has been employed since 2021. He holds a Ph.D. in Civil Engineering from Lehigh University (USA) and an M.A. from the University of Babylon. His academic qualifications include: Ph.D. in Civil Engineering, Lehigh University, USA M.A., University of Babylon, Iraq Dr. Alattar's research centers on hydrology with specialized focus on surface water-groundwater interactions, employing advanced modeling frameworks like MODFLOW-OWHM to analyze water budgets across the United States and Iraq. His work addresses critical water resource challenges including baseflow recession dynamics, groundwater mapping through multi-source data integration, and climate variable impacts on regional hydrology. Recent publications demonstrate increasing emphasis on Iraq's water systems, particularly groundwater dynamics in the Euphrates basin and climate analysis of precipitation-temperature patterns. His 11 publications from 2013-2024 reveal a clear research trajectory: early work focused on flood routing in Iraqi rivers using Saint Venant equations, evolving into large-scale US water budget modeling, and culminating in recent composite modeling approaches for baseflow analysis and Iraq-specific groundwater dynamics. The consistent thread is integrated hydrological modeling addressing both theoretical advancements (e.g., composite Boussinesq equations) and practical water management applications in data-scarce regions. No scientific awards are documented in the available information. The provided materials do not indicate any student advisees or research grant funding. Professional activities include membership in the American Geophysical Union where he presents research annually. Prior to AUIS, he served as research/teaching assistant at Lehigh University and the Institute of Technology in Baghdad, plus industry experience as a CAD Engineer for Nippon Koei Co., Ltd. on Iraqi infrastructure projects.

Robert HsuView profile

Professor

• Parallel and Distributed Computing
• Cloud Computing
• Big Data Analytics
• +4 more

Robert Hsu is Chair Professor and Dean of the College of Information and Electrical Engineering at Asia University, Taiwan, and holds concurrent appointments as Professor at National Chung Cheng University. He serves as President of the Taiwan Association of Cloud Computing and Research Consultant at China Medical University Hospital. His research spans parallel and distributed computing , cloud and edge systems , AI , and medical applications , with over 350 publications in top venues like IEEE TPDS, IEEE TSC, and ACM TOMM. Editor-in-Chief of International Journal of Grid and High Performance Computing Founding Editor-in-Chief of International Journal of Big Data Intelligence Advisory roles in 10+ journals including IEEE Transactions on Cloud Computing His research focuses on cloud-edge collaboration , AI for medical imaging , IoT security , and big data analytics . Key projects include federated learning frameworks for multi-institutional healthcare, optimization techniques for UAV-assisted MEC, and blockchain-based security solutions. His 15 most recent articles highlight advancements in malware detection, resource orchestration in edge environments, and lightweight AI models for retail and rural applications. Scientific accolades include: Stanford University's World's Top 2% Scientists (2020-2023) Best Paper Awards at IEEE ICEIB 2023 and SysCom 2021 Over 25 grants from Ministry of Science and Technology and Ministry of Education Leadership roles as IEEE TCCLD Chair and Steering Committee member He has supervised 30+ PhD/Master's students , including Shih-Chang Chen (2010), Tai-Lung Chen (2010), and Nithin Melala Eshwarappa (2020). His laboratory focuses on edge computing , cloud systems , and AI-driven solutions for healthcare and urban infrastructure.

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +3 more

Marlies Temper is a Professor at St. Pölten University of Applied Sciences, serving as Academic Director for the Data Intelligence (MA) and Data Science and Artificial Intelligence (BA) programs. She is Deputy Head of the Department of Computer Science and Security and a member of the UAS Board from 2023 to 2026. Her roles include leading educational initiatives, conducting research, and managing continuing education programs. Academic Director, Data Intelligence (MA) Academic Director, Data Science and Artificial Intelligence (BA) Deputy Head, Department of Computer Science and Security Continuing Education Officer Marlies Temper's research focuses on Artificial Intelligence , Cybersecurity , and Big Data Analytics . She explores the ethical implications of AI, develops gamified models for security training, and investigates continuous biometric authentication methods. Her work bridges the gap between theoretical advancements and practical applications in AI-driven security solutions. Her recent publications highlight trends in AI Security (e.g., risk frameworks), Biometric Authentication (e.g., touch dynamics), and Cybersecurity Education (e.g., gamified simulations). She emphasizes the responsible use of AI and Big Data while addressing technical and ethical challenges.

Jim ClarkView profile

Senior Lecturer

• E-commerce
• Information Systems
• Data Analytics
• +2 more

Jim Clark is a Senior Lecturer at the University of Lethbridge's Dhillon School of Business, specializing in E-commerce and Information Systems. He has been teaching at the institution since 1990 and maintains an active presence through his course instruction and professional blog. His educational background includes degrees from BYU and Ivey School of Business. Clark's professional experience extends beyond academia, with previous positions at Revenue Canada, Shell Canada, and Drowland Technologies, along with numerous small business consulting projects. Clark's research and teaching interests focus on E-commerce, Information Systems, Data Analytics, and Data Visualization, with particular emphasis on financing, organizational design, and entrepreneurship within E-commerce organizations. His work explores the application of technology in business contexts and classroom pedagogy. His recent publications and blog posts demonstrate consistent engagement with current technology trends affecting business, including digital advertising evolution, AI in finance, e-commerce strategies, and ethical considerations in technology adoption. These works reflect his commitment to connecting academic concepts with real-world business applications. Clark teaches Management of Information Systems (MGT 3061) and maintains an active online presence through his blog 'Info Systems in Practice' where he discusses relevant technology topics for business students and professionals. He has developed extensive teaching materials including video lectures, chapter projects, and discussion questions that integrate current business technology examples with core information systems concepts. His teaching approach emphasizes practical application of information systems knowledge in business decision-making contexts.

• Historical Climatology
• Climate Dynamics
• Atmospheric Circulation Reconstruction
• +4 more

Prof. Dr. Stefan Brönnimann serves as a Professor and Unit Leader of Climatology at the Institute of Geography, University of Bern. His extensive research portfolio spans historical climatology, climate dynamics, and atmospheric circulation reconstruction, with particular focus on the past 400 years. He plays a leadership role in major international climate initiatives including the IPCC assessment reports and various climate reanalysis projects. Brönnimann's research centers on reconstructing historical weather and climate patterns through the innovative combination of early instrumental data, proxy records, and climate models. His work examines large-scale climate variability, interannual-to-decadal atmospheric circulation patterns, volcanic eruption effects on climate, and climate-society interactions. His methodologies often involve transforming historical documents into usable climate datasets and applying advanced machine learning techniques to weather reconstruction challenges. Recent publications reveal a strong emphasis on European climate patterns, hydroclimate extremes, and the development of novel datasets and tools for climate research across high-impact journals in climate science, paleoclimatology, and climate informatics. Notable scientific achievements include: Lead author for Chapter 2 of the IPCC Working Group I 5th Assessment Report President of the Commission 'Atmospheric Chemistry and Physics' (ACP) of sc.nat Editorial leadership for multiple prestigious journals including Meteorologische Zeitschrift, Climate of the Past, and Geographica Bernensia Leadership roles at the Oeschger Centre for Climate Change Research Active participation in international initiatives like the Twentieth Century Reanalysis Project and Atmospheric Circulation Reconstructions over the Earth (ACRE) Brönnimann has secured substantial funding through numerous national and international projects including SNF, NCCR Climate, EU FP-7, HORIZON2020, COST, and ERAnet.RUS. He has organized multiple international workshops on weather and climate extremes, atmospheric circulation variability, and historical climate events like the Tambora eruption. His work connects closely with the Oeschger Centre for Climate Change Research at the University of Bern, where he leads Work Package 2 and serves on the Steering Group, demonstrating his significant institutional leadership within Bern's climate research community.

• Data Management
• Knowledge Graphs
• Machine Learning
• +3 more

Zoi Kaoudi is a researcher at the IT University of Copenhagen , specializing in Data Management , Knowledge Graphs , and Machine Learning . Her work focuses on cross-platform data processing, query optimization, and scalable systems for graph analytics. She has published extensively in venues like SIGMOD , VLDB , and ISWC , with recent contributions to Apache Wayang , DORIAN , and Space-Efficient Graph Algorithms . Her research bridges theoretical advancements with practical frameworks for data science pipelines. Collaborations include Volker Markl, Jorge-Arnulfo Quiané-Ruiz, and Ioana Manolescu. She has explored topics such as Parameter Servers , Knowledge Graph Embeddings , and RDF Data Management in the cloud. Her work emphasizes open science and system integration.

Dana E. HuntView profile

Associate Professor

• Marine Microbial Ecology
• Environmental Microbiology
• Bacterial Interactions
• +3 more

Dana E. Hunt is an Associate Professor of Microbial Ecology at Duke University's Department of Civil and Environmental Engineering within the Marine Science and Conservation school. Her research focuses on microbial interactions with the environment, including temperature effects and responses to pollutants. Academic Rank: Associate Professor University: Duke University Department: Civil and Environmental Engineering Research Interests: Marine microbial ecology, bacterial interactions, environmental stressors Email: dana.hunt@duke.edu The Hunt lab investigates bacterial dynamics in marine systems, emphasizing temporal and spatial scales. Recent publications highlight studies on nutrient cycling, pollutant adaptation, and microbial community responses to environmental changes. Key topics include marine microbiomes, niche partitioning, and climate stressors. Her teaching portfolio includes courses like Ecological Perspectives: Evolution to Ecosystems and Coastal Watershed Management and Restoration . Collaborations span oceanographic phenomena like Gulf Stream eddies and biogeochemical processes in coastal environments.

John PaparrizosView profile

Assistant Professor

• Databases
• Data Science
• Machine Learning
• +5 more

John Paparrizos is an Assistant Professor of Computer Science and Engineering at The Ohio State University's College of Engineering, where he directs The DATUM Lab (Data Analytics, Understanding, Mining, and Management Lab). He maintains an adjunct affiliation with the School of Informatics at Aristotle University of Thessaloniki. His research spans databases, data science, machine learning, and artificial intelligence , with focus areas including: Time-series analysis (clustering, anomaly detection) Scalable data mining for structured/unstructured data Adaptive algorithms for resource-constrained environments Foundational technologies for data-intensive applications His work addresses real-world challenges across relational, time-series, multimedia, text, graph, web, and IoT data domains. Notable recognition includes: 2025 ACM SIGMOD Test-of-Time Award for k-Shape time-series clustering 2023 IEEE TCDE Rising Star Award ACM SIGMOD Research Highlight Award NetApp Faculty Award His research has been featured in New York Times (front page), Washington Post , Forbes , and adopted by Fortune 500 companies (Exelon, Nokia) and the European Space Agency. He actively serves on program committees for premier conferences including ACM SIGMOD, VLDB, IEEE ICDE, ACM SIGKDD, and NeurIPS. His open-source tools have exceeded 100,000 downloads and are integrated into academic curricula at Brown, Columbia, Purdue, and University of Chicago.

Jeremy ElyView profile

Senior Lecturer

• Glaciology
• Ice Sheet Dynamics
• Glacial Geomorphology
• +5 more

Dr Jeremy Ely is a Senior Lecturer in Physical Geography at the University of Sheffield's School of Geography and Planning. His research integrates glaciological observations with numerical modeling to understand ice sheet dynamics, glacier change in the Andes, Antarctic hydrology, and paleo-ice sheet reconstructions. Funded by NERC, he leads the £2.46M "Deplete and Retreat" project investigating Andean water resources under climate change. Dr Ely earned his PhD from the University of Sheffield in 2016, followed by a postdoctoral position and NERC research fellowship. His educational background provides the foundation for his interdisciplinary approach to glaciology and climate science. His research focuses on four interconnected pillars: Andean Water Resources : As PI of the NERC Highlight Topic "Deplete and Retreat," he deploys field instrumentation across South America and develops integrated climate-glacier-hydrology models. Glacial Geomorphology : He confirmed the morphological continuum of subglacial bedforms through UAV surveys and field excavations, advancing understanding of ice-bed interactions. Paleoglaciology : Through BRITICE-CHRONO and PALGLAC collaborations, he improves model-data integration for reconstructing past ice sheets. Antarctic Hydrology : He co-discovered widespread meltwater streams on Antarctic ice shelves and investigates their impact on ice flow stability. His recent publications (2021-2025) reveal accelerating glacier loss in the Andes and Alaska, with increasing emphasis on model-data integration for paleo-ice sheets and meltwater impacts on ice dynamics. Key trends include the application of high-resolution modeling to water resource forecasting and the use of geological archives to constrain future ice sheet behavior. Dr Ely's scientific contributions have been recognized with: Lewis Penny Medal for Early Career Research (Quaternary Research Association, 2024) Dick Chorley Medal (British Society for Geomorphology, 2016) John Glen award (International Glaciological Society, 2012) He has secured £3.05M in research funding as PI, including a NERC Independent Research Fellowship (£589k) and ESA Category-1 grant. As course lead for the MSc(Res) in Polar and Alpine Change, he supervises graduate students and teaches modules spanning polar science and field methods. His UNESCO advisory work informs international climate policy. Dr Ely chairs the international working group on Impacts of Changes in the Mountain Cryosphere and co-leads Sheffield's Ice and Climate Research group, fostering collaborations across glaciology, hydrology, and climate science.

Mevin HootenView profile

Professor

• Bayesian Statistics
• Spatio-Temporal Statistics
• Ecology
• +6 more

Mevin Hooten is a Professor in the Department of Statistics and Data Sciences at The University of Texas at Austin and a Fellow of the American Statistical Association. He previously held a professorship at Colorado State University and served as Assistant Unit Leader for the Colorado Cooperative Fish and Wildlife Research Unit. His research focuses on Bayesian and spatio-temporal statistical methods with applications in ecology, epidemiology, and environmental science. Education: Ph.D. in Statistics from the University of Missouri (2006) Research Interests center on Bayesian statistics , spatio-temporal modeling , and MCMC methods , applied to ecological processes, disease spread, and environmental monitoring. His work addresses challenges in wildlife conservation, climate change impacts, and animal movement inference. Publication Trends reveal a strong emphasis on Bayesian hierarchical models , spatial statistics , and mechanistic ecological modeling . Key subfields include genomic adaptation , occupancy models , riverscape processes , phenological sensitivity , invasion dynamics , and multi-scale ecological inference . Scientific Contributions include authorship of 3 books and over 160 publications. Awards include ASA Fellow (2017) and editorial roles in leading journals like Biometrics and Annals of Applied Statistics . Advising Legacy spans current and former students/postdocs in fields such as ecological statistics , animal movement , and spatio-temporal modeling . Notable alumni include researchers at NOAA, USDA, and academic institutions like Virginia Tech and Penn State.