Find Academic Supervisors

• Network Architectures and Protocols
• Mobile and Wireless Networks
• Network Security
• +4 more

Professor Alan Marshall holds the chair in Communications Networks at the University of Liverpool and serves as director of the Advanced Networks Group. His roles include visiting professor in network security at the University of Nice/CNRS, France, and Adjunct Professor for Research at Sunway University Malaysia. With over 25 years of experience in Telecommunications and Defence Industries, he is a Senior Member of IEEE and Fellow of the IET . Affiliations: University of Liverpool: Chair in Communications Networks, Director of Advanced Networks Group University of Nice/CNRS: Visiting Professor (Network Security) Sunway University Malaysia: Adjunct Professor for Research Research Interests: Marshall's work focuses on Network Architectures and Protocols , Mobile and Wireless Networks , Network Security , High-speed Packet Switching , Quality of Service & Experience (QoS/QoE) Architectures , Distributed Haptics , and Multi-sensory Communications . His research has led to the formation of the spin-out company Traffic Observation & Management (TOM) Ltd , specializing in intrusion detection and prevention for wireless networks. Scientific Contributions: While his overall research outputs include over 270 papers, the repository highlights his co-authorship on a 2016 protocol improving computational efficiency for resource-constrained devices in IEEE 802.15.6 standard. This work addresses security challenges in IoT environments, military applications, and sensor networks by unbalancing computational requirements between communication parties. Professional Recognitions: Senior Member, IEEE Fellow, Institution of Engineering and Technology (IET) Academic Mentorship: Marshall has supervised PhD research, including Zhang Jie 's 2018 thesis on Authenticated Key Exchange Protocols with Unbalanced Computational Requirements and other works on Trust and Reputation Frameworks for Autonomous Underwater Vehicles and Authenticated Key Exchange for IoT . Teaching Roles: Lecturer for Computer and Telecommunications Networks module (ELEC463) Supervision of theses on topics including Mobile Communications and Security , Key Exchange Protocols , and Wireless Network Security

Fei ChiangView profile

Associate Professor

• Data Management
• Data Quality
• Data Privacy
• +6 more

Dr. Fei Chiang is an Associate Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. Her research focuses on data management , with emphasis on data quality, data privacy, information extraction , and contextual data cleaning . She has collaborated with IBM Global Services and Microsoft Research on improving data quality in enterprise systems. Key research themes include graph databases , temporal data analysis , and privacy-aware data processing Recent publications explore federated learning , SQL understanding in LLMs , and temporal graph constraints Industry collaborations with IBM Toronto Lab and Microsoft Research have led to innovations in data cleaning automation and semantic analysis. Her work bridges database theory with machine learning applications in healthcare inventory optimization and flight reliability prediction.

Douglas G DownView profile

Professor

• Stochastic Modelling
• Queueing Networks
• Scheduling Algorithms
• +4 more

Douglas G Down is a Professor in the Department of Computing and Software at McMaster University . He leads the Resource Allocation and Stochastic Systems Lab (RASSL) and serves as co-PI of the Computing Infrastructure Research Centre (CIRC) . Education: Ph.D., University of Illinois at Urbana-Champaign His research focuses on stochastic modelling , scheduling , and performance evaluation of computer systems, with recent work on intelligent control of data centers , thermal-aware workload management , and data-driven resource allocation for healthcare systems. Publications span queueing theory , energy-aware scheduling , and machine learning applications in logistics. Recent scholarly trends include deep learning for pandemics (2023-2025), stochastic optimization of cooling systems (2024), and hybrid models combining queueing theory with AI (2023). He has pioneered frameworks like MGST for scheduling in heterogeneous grids and contributed to cache locality improvements in Hadoop systems. Scientific Awards: Nominated for Best Paper at MASCOTS 2013

Jürgen HesserView profile

Professor

• Medical Imaging
• Computational Oncology
• Inverse Problems in Science
• +7 more

Jürgen Hesser is a Professor at the Mannheim Medical Faculty , Heidelberg University, specializing in Experimental Radiotherapy and Medical Imaging . His research focuses on solving inverse problems in imaging, particularly for CT reconstruction , brachytherapy planning , and low-dose imaging . Current affiliations: Clinic for Radiotherapy and Radiooncology, Mannheim University Hospital Collaborative ties: Interdisciplinary Center for Scientific Computing (IWR) and Center for Bioinformatics (ZITI) at Heidelberg University Research interests center on anisotropic total variation techniques for medical and industrial applications, including MR-guided interventions and real-time radiation therapy . His work has led to a 1000x speed improvement in brachytherapy planning algorithms. Recent publications highlight expertise in image reconstruction (CT/X-ray), noise optimization , machine learning for cancer classification, and big data management solutions. His methods are applied to both clinical and industrial imaging challenges. Additional contributions include scientific data infrastructure development and variance stabilization techniques for medical sensors. The research group maintains strong interdisciplinary links with Physics, Mathematics, and Computer Science faculties.

Evangelia KalyvianakiView profile

Senior Lecturer

• Cloud Computing
• Big Data Processing
• Autonomic Computing
• +6 more

Evangelia (Eva) Kalyvianaki is a Senior Lecturer (equivalent to Associate Professor) in the Department of Computer Science and Technology at the University of Cambridge , where she is also a member of the Systems Research Group / netos group . Previously she held faculty positions as Lecturer at City University London and as post-doctoral researcher at Imperial College London. Education Ph.D. in Computer Science, Computer Laboratory (SRG/netos group), University of Cambridge M.Sc. in Computer Science, University of Crete, Greece B.Sc. in Computer Science, University of Crete, Greece Research Interests Her research spans the broad areas of Cloud Computing , Big Data Processing , Autonomic Computing , and Distributed Systems . A central theme is the design and management of next-generation, large-scale cloud applications, with an emphasis on applying mathematical reasoning—particularly control-theoretic techniques such as Kalman and H-infinity filtering—to address the complexity and uncertainty inherent in modern distributed infrastructures. Topics of active investigation include adaptive CPU and resource provisioning for virtualized servers, fairness and overload management in federated stream-processing systems, explicit state management for big-data frameworks, and distributed optimization algorithms for large-scale networked systems. Publications & Research Impact Across more than thirty peer-reviewed papers, her work demonstrates a consistent trajectory toward bridging rigorous control theory with practical systems challenges in the cloud. Signature contributions include the THEMIS framework for fair federated stream processing, dynamic block-sizing algorithms for data-stream engines, and robust resource-provisioning schemes based on advanced filtering techniques. Recent publications extend these ideas to fully distributed, finite-time coordination protocols that operate under quantized communications and time-varying delays, reflecting an expanding scope toward large-scale networked control systems. Scientific Awards No specific awards or fellowships are listed in the provided material. Advising & Funding While individual student names are not disclosed, her extensive publication record with numerous co-authors indicates active supervision of doctoral and master’s researchers. Funding acknowledgements in papers suggest support from UK research councils, EU projects, and industrial partnerships, although explicit grant details are not provided. Labs & Teams She is affiliated with the Systems Research Group (netos) within the Cambridge Computer Laboratory, a leading collective focused on networked and operating systems research, providing a collaborative environment for experimental cloud and distributed-systems work.

Ibrar YaqoobView profile

Research Fellow

• Blockchain and Applications
• NFTs and Metaverse Applications
• Mobile Edge-Cloud Computing
• +4 more

Dr. Ibrar Yaqoob serves as a Senior Research Fellow and Program Lead for the Smart and Resilient Supply Chain strand at the Artificial Intelligence and Cyber Futures Institute (AICF) at Charles Sturt University. He leads a research team comprising PhD students and postdoctoral fellows, and previously held research positions at Khalifa University in the UAE and Kyung Hee University in South Korea. Dr. Yaqoob holds a PhD in Computer Science from Universiti Malaya (2017) and has been a Visiting Academic at the University of Cambridge. His research focuses on blockchain, NFTs, and metaverse applications for healthcare, supply chain and logistics, wireless networks, IoT, and smart cities, with additional expertise in mobile edge-cloud computing and big data. Dr. Yaqoob has published over 100 research articles with more than 24,000 citations and an h-index of 58, with 98.9% of his publications appearing in Q1 journals. His recent publications demonstrate a strong trend toward practical blockchain implementations across diverse sectors including healthcare data management, sustainable supply chains, and smart city infrastructure. His work frequently combines blockchain with emerging technologies like NFTs, metaverse applications, and large language models to solve complex real-world problems in supply chain transparency, medical data security, and sustainable development. Ranked in the world's top 0.1% of researchers for three consecutive years (2023-2021) as a Highly Cited Researcher Listed among the World's top 2% scientists for five consecutive years (2020-2024) 2024 IEEE Consumer Electronics Magazine Best Paper Award (1st Place) 2024 Vice Chancellor's Researcher of the Year Commendation 2024 AICF Research Excellence Award 13 highly cited papers (top 1%) and 21 most downloaded articles Dr. Yaqoob serves as Chief Investigator on multiple significant research projects including the AgriTwins project (AUD $2.38 million), Trustworthy Operations and Supply Chain Management project (AUD $10,000), and Decentralized AI Juries project (AUD $13,875). He actively mentors PhD students and postdoctoral researchers while serving on editorial boards for prestigious journals including IEEE Network Magazine, Future Generation Computer Systems, and IEEE Access. His research team at the AICF Institute focuses on bridging emerging technologies with practical applications to address real-world challenges in supply chain resilience and sustainability.

Lipeng WanView profile

Assistant Professor

• Big Data Management
• High-Performance Computing
• Data-Intensive Computing
• +3 more

Dr. Lipeng Wan is a tenure-track Assistant Professor of Computer Science at Georgia State University (GSU), located at 25 Park Place, room 733. He holds a B.Eng. in Communication Engineering from Nanjing University of Science and Technology (2008), an M.Eng. in Information and Communication Engineering from Southeast University (2011), and a Ph.D. in Computer Science from the University of Tennessee, Knoxville (2016). Prior to joining GSU, he served as a Computer Scientist at Oak Ridge National Laboratory (ORNL), first as a postdoctoral researcher (2016–2018) and later as a full-time research staff member (2018–202?). His research focuses on big data management and analytics , high-performance and data-intensive computing , and resilience and performance optimization for distributed systems . Key interests include scientific data workflows, I/O innovations for exascale systems, and error-controlled data compression frameworks like MGARD and HPDR. Dr. Wan’s recent work emphasizes adaptive data transmission (e.g., JANUS), load balancing in cloud environments (SciLance), and optimizing file access patterns on HPC systems. His publications address challenges in exascale computing, including I/O performance, geographically distributed data management, and feature-preserving compression for climate simulations. He leads research at GSU in collaboration with national labs like ORNL, focusing on advancing scalable data management techniques for high-performance computing applications.

Alexander LawallView profile

Professor

• Cyber Security
• System and Network Security
• Web Application Security
• +5 more

Prof. Alexander Lawall is a Professor of Cyber Security at IU University of Applied Sciences, where he also directs the Bachelor and Master courses in Cyber Security. Formerly, he served as the head of information security management at the REHAU Group, a global private-sector role. He holds a PhD from the Technical University of Dresden, followed by a career in information security architecture and leadership. His research focuses on system/network security, web/cloud security, IoT security, and Industry 4.0. Key themes include access control models, cross-organizational process management, and rights management frameworks. His work bridges academic and industrial cybersecurity challenges, with publications in reputable conferences and journals. Publications span hypergraph-based access control (2016), cloud resource management (2015), and cross-organizational process modeling (2014). He has contributed to advancing cybersecurity in distributed and collaborative environments, particularly through agent-based and formal language approaches. No scientific awards are explicitly mentioned. He has advised no students listed here, but his academic leadership includes curriculum development in cybersecurity education. His professional trajectory reflects a blend of academic research and industry expertise.

Thomas AlbrightView profile

Associate Professor

• Conservation Biogeography
• Ecoclimatology
• Landscape Ecology
• +3 more

Thomas Albright is an Associate Professor and Deputy Nevada State Climatologist at the University of Nevada, Reno (UNR), affiliated with the Department of Geography and the Ecology, Evolution & Conservation Biology Graduate Program. His work integrates landscape ecology, biogeography, and remote sensing to address environmental challenges at global and local scales. He has conducted international research across 15 countries, emphasizing conservation, climate impacts, and sustainability. Educated at the University of Wisconsin-Madison (Ph.D. in Zoology, 2007) and the University of California, Santa Barbara (M.A. in Geography), he has held roles including Postdoctoral Associate at UW-Madison and Senior Scientist at the USGS EROS Center. His teaching focuses on physical geography, remote sensing applications, and climate solutions, emphasizing active learning and mentorship. Research interests include conservation biogeography, ecoclimatology, and urban heat dynamics. Notable projects include studying invasive species in China and the US, avian responses to extreme weather, and Las Vegas urban heat hazards. He collaborates globally, including with Nicaraguan institutions and NASA initiatives. His lab, the Laboratory for Conservation Biogeography, emphasizes environmental justice, community engagement, and policy-relevant science. Key collaborators include USGS, NASA, and international universities. Advised students include D Mutiibwa, G Sadoti, Nicole Shaw, and Lauren Phillips.

Jonathan E. MartinView profile

Professor

• Synoptic Meteorology
• Atmospheric Dynamics
• Jet Stream Variability
• +3 more

Jonathan E. Martin is a Professor in the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin–Madison since 1994. He received his Ph.D. in Atmospheric Sciences from the University of Washington in 1992. Research Focus: Mid-latitude cyclones, jet stream dynamics, and weather-climate interactions Key Methods: Multi-scale observational analysis, high-resolution mesoscale modeling, potential vorticity diagnostics Recent Projects: Jet stream waviness trends, subtropical-midlatitude cyclone transformation, snow cover-cyclone feedback His 2025-2024 publications examine extratropical cyclone precipitation distribution, Pacific basin rapid cyclogenesis, and Earth system model validation for cyclone occlusion. Earlier work (2023-2019) addresses: Jet superposition climatology Self-organizing map analysis of jet variability Cyclone-induced Southern Hemisphere waviness Nonlinear jet retraction mechanisms Tornado outbreak jet influences Historical cold pool contraction trends Awarded the 2021 Atmospheric Sciences Librarians International Choice Runner Up for his historical meteorology work, he also authored the textbook Mid-Latitude Atmospheric Dynamics: A First Course (2013). His research spans cyclogenesis, frontogenesis, and climate change impacts on jet streams, with applications in extreme weather forecasting and climate modeling validation.

• Information Management
• Data Security
• Scientific Databases
• +5 more

Marianne Winslett is a Professor at the University of Illinois' Siebel School of Computing and Data Science, affiliated with the Department of Computer Science since 1987. Her research focuses on data security, information management, and privacy in cyber-physical systems. She co-led the TrustBuilder project, advancing access control and authentication in open computing environments, and directed the Advanced Digital Sciences Center (ADSC) in Singapore from 2009–2013, addressing challenges in data analytics and smart grids. Her work includes pioneering methods to ensure privacy in biomedical data analysis. Education: Earned her doctorate in Computer Science from Stanford University and worked at Bell Labs before joining Illinois. Awards: ACM Fellow (2006), NSF Presidential Young Investigator (1989), University Scholar, and Stanley H. Pierce Award for advising. She has supervised 24 PhD theses and mentored numerous graduate students, particularly supporting female scholars. Research Interests Secure data management in distributed systems Privacy-preserving techniques for biomedical data Adversarial attack detection in cyber-physical systems like smart grids Elastic resource scheduling in cloud environments Query optimization under differential privacy constraints Key Contributions Developed frameworks for self-supervised learning in smart grid cybersecurity Pioneered causal mechanism transfer networks for mechanical system domain adaptation Advanced auto-scaling strategies for real-time stream processing (DRS/Elasticutor systems) Labs & Teams Former Director of the Advanced Digital Sciences Center (ADSC), a University of Illinois research outpost in Singapore focusing on data analytics and IoT applications.

Maarten AmbaumView profile

Professor

• Atmospheric Physics
• Climate Thermodynamics
• Geophysical Fluid Dynamics
• +3 more

Maarten Ambaum is Professor of Atmospheric Physics and Dynamics at the University of Reading's Department of Meteorology. His research focuses on fundamental atmospheric processes including energy transfer mechanisms, cloud electrification phenomena, and storm track variability using theoretical modeling and experimental approaches. Research interests span thermodynamics of climate systems, electrical properties of cloud droplets, geophysical fluid dynamics, and applications of Bayesian statistics to atmospheric science. Current projects investigate convective energy cycles, electrical aspects of rainfall generation, and storm track transitions. Publications demonstrate expertise in atmospheric electricity, cloud microphysics, and climate system modeling. Recent work examines fog electrification, aircraft-based charge emission systems, and storm track responses to climate oscillations. Develops novel instrumentation for atmospheric measurements including corona current monitoring systems. Authored textbook 'Thermal Physics of the Atmosphere' with second edition published in 2020.

• Distributed Algorithms
• Probabilistic Methods and Algorithms
• Load Balancing
• +7 more

Dr. Tom Friedetzky is an Associate Professor in the Department of Computer Science at Durham University. His research focuses on distributed algorithms, probabilistic methods, and load balancing in distributed systems. He has contributed to theoretical advancements in population protocols, self-stabilizing systems, and algorithmic game theory. His work often intersects with applications in peer-to-peer systems, storage networks, and consensus mechanisms. Key research interests include: Distributed Algorithms and Load Balancing Randomized Algorithms and Probabilistic Methods Selfish Reallocation Processes in Distributed Systems Population Protocols and Consensus Algorithms Recent work emphasizes time-space trade-offs in population protocols, exact majority consensus, and efficient data distribution in cloud environments. His publications span conferences such as PODC, ICALP, and SPAA, and journals including Distributed Computing and Journal of Parallel and Distributed Computing. He supervises postgraduate students David Kutner and Henry Austin. His research has been applied to practical systems like peer-to-peer networks and large-scale storage solutions, leveraging theoretical foundations to address real-world scalability challenges.

John McNamaraView profile

Research Fellow

• Artificial Intelligence
• Cybersecurity
• Transportation Systems
• +3 more

John McNamara is an IBM Master Inventor and Advanced Visiting Research Fellow at the University of Sheffield, holding Honorary Professorships at University College London (UCL) and Sheffield Hallam University. He specializes in interdisciplinary innovation across cybersecurity, transportation systems, and artificial intelligence, leveraging technologies like Cloud and Watson for Tech for Good initiatives. His roles include IBM Technical Specialist, IBM Thought Leader, and Open Group Distinguished Technical Specialist, with industry expertise spanning defense, finance, and healthcare sectors. Education: BSc (Hons) in Information Systems from the University of Hull. Research focuses on patentable inventions addressing complex event processing, automated systems optimization, and regulatory compliance. Key innovations include intelligent fuel management systems, automated style-checking frameworks, and goal-directed simulation tools for business processes. His work bridges academic research with real-world industry applications. Awards: IBM Master Inventor IBM Thought Leader Technical Specialist Open Group Distinguished Technical Specialist Collaborates with IBM UK University Programs to develop socially impactful technologies. Active in creating solutions for disease control, banking systems, and defense applications through cross-disciplinary partnerships.

Hoda MalekiView profile

Assistant Professor

• Cybersecurity
• Blockchain Technology
• Digital Forensics
• +4 more

Hoda Maleki is an Assistant Professor in the Department of Computer & Cyber Sciences at Augusta University's School of Computer and Cyber Sciences. She holds a Ph.D. (2019) and an M.S. in Computer and Information Sciences from the University of Connecticut. Her research focuses on cybersecurity, blockchain technology, digital forensics, and secure access control systems. She has contributed to frameworks like ForensiBlock, exploring blockchain for data provenance and auditability, and has published extensively on topics including machine learning in healthcare cybersecurity and multi-dimensional encryption techniques. Dr. Maleki serves on Augusta University committees including the Faculty Affair Committee and the MS Cybersecurity degree development workgroup. She advises the Women in Cybersecurity Club and the VIVID team. Her professional service includes roles as a grant proposal reviewer for NSF and CICI-NSF, and committee membership for conferences like CCSW'24 and IPDPS. Her recent work emphasizes integrating blockchain with AI for secure systems, such as DLACB (Deep Learning-Based Access Control using Blockchain) and ForensiBlock. Awards include the 2023 Faculty Inclusive Excellence Initiative and 2022 Faculty Recruitment and Retention honors. She teaches advanced courses on cybersecurity topics like secure pollbook systems and cryptographic protocols.