Find Academic Supervisors

• Coastal and ocean governance
• Marine social-ecological systems
• Seagrass ecology and management
• +5 more

Maricela De la Torre Castro is a Professor of Natural Resource Management at Stockholm University , affiliated with the Department of Physical Geography . Her research focuses on coastal and ocean governance through a social-ecological systems lens, emphasizing gender dynamics , seagrass conservation , and climate change adaptation in tropical coastal communities. BSc in Oceanology (Universidad Autonoma de Baja California) MSc, PhD, and Docent in Natural Resource Management (Stockholm University) Her work examines seagrass ecosystem services , small-scale fisheries governance , and gendered impacts of marine protected areas . Recent studies analyze: 2025: Habitat loss risks from seaweed cultivation 2024: Gender-poverty dynamics in Zanzibar MPAs 2022: Adaptive capacity differences between genders 2021: Blue Justice frameworks for fisheries governance Active projects include SEAgender (Swedish Research Council) analyzing gendered effects of MPAs . She supervises PhD candidates in tropical marine systems and has extensive experience with EU Erasmus programs and UNDP collaborations . Research emphasizes hybrid methods , cultural value mapping , and interdisciplinary monitoring of coastal initiatives.

• computer security
• formal methods
• program logics
• +3 more

Mads Dam is a Professor in Teleinformatics at the School of Computer Science and Communication at Kungliga Tekniska Högskolan (KTH), where he heads the Department of Theoretical Computer Science. His research focuses on computer security, formal methods, and program logics, with particular emphasis on the formal modeling and verification of low-level hardware and software execution platforms for security and application isolation. His educational background includes: PhD in Computer Science from the University of Edinburgh (1990) MSc in Computer Engineering from Aalborg University, Denmark BSc in Information Technology from Aalborg University, Denmark Mads Dam's research interests center on computer security, formal methods, and program logics. His current work focuses on the formal modeling and verification of low-level hardware and software execution platforms such as hypervisors and OS kernels and their underlying hardware. He has made significant contributions to information flow security, verification of microarchitectural systems, and network programming language security. His research bridges theoretical foundations with practical security applications. His recent publications show a strong trend toward verifying low-level systems, with a focus on information flow security for processors, network programming languages (particularly P4), and microarchitectural vulnerabilities. His work combines formal methods with practical security concerns, developing verification techniques that address real-world security challenges in hardware and software systems. The research spans theoretical foundations in temporal and epistemic logics to practical applications in network security and processor verification. His scientific awards and recognition include: Two framework grants from the Swedish Foundation for Strategic Research A junior individual grant from the Swedish Foundation for Strategic Research Project grants and a five-year research fellowship from the Swedish Research Council (VR) Project grants from Ericsson, Microsoft Research, US Air Force, and Vinnova (the Swedish Innovation Agency) Mads Dam has been a principal investigator on numerous research projects and has supervised many graduate students. He has been a partner in several European projects including HATS, S3MS, VerifiCard, LOMAPS, and UaESMC. His research has been supported by substantial grants from major funding bodies, reflecting the significance and impact of his work in computer security and formal methods. He is a founding member of several research centers at KTH, including Access, the CASTOR software research center, and the CDIS center for cyber defense and information security. These centers bring together researchers from multiple disciplines to address complex challenges in cybersecurity and software engineering.

• Cybersecurity
• Internet of Things (IoT)
• Post-Quantum Cryptography
• +5 more

Florina Almenares Mendoza is an Associate Professor at the Telematics Engineering Department of Carlos III University of Madrid , where she also serves as the Director of the University Master's Degree in Cybersecurity. Her research focuses on addressing security challenges in emerging technologies such as IoT, post-quantum cryptography, and privacy-preserving systems. Email: florina.almenares@uc3m.es Contact: 916246234 Location: 4.0.F06 - Quevedo Towers (Leganés) Research Interests Florina's work spans cybersecurity , Internet of Things (IoT) , and post-quantum cryptography , with a focus on scalable authentication, quantum-resistant protocols, and privacy. She explores machine learning applications for security, federated identity management , and smart grid security frameworks. Recent Publications Her recent research includes papers on DNSSEC soft delegation, hybrid quantum security for TLS/IPsec, PUF-based authentication in IoT, and blockchain-enabled auditability. These studies emphasize IoT security , quantum-resistant algorithms , and privacy-enhancing technologies .

• Secure Computing
• Hardware/Software Co-Design
• Machine Learning
• +6 more

Farinaz Koushanfar is a Professor in the Department of Electrical and Computer Engineering at the Jacobs School of Engineering, University of California San Diego (UCSD) . She holds the Siavouche Nemat-Nasser Endowed Chair and serves as Founding Co-Director of the Center for Machine-Intelligence, Computing and Security . Her affiliations include NSF Trust-Hub (Co-PI) and NSF TILOS AI Institute . She also serves on the Editorial Board of The Proceedings of the IEEE . Research Focus: Prof. Koushanfar leads research in secure and efficient computing , including robust/safe AI , hardware/system security , AI-based optimization , and cryptographically secure privacy-preserving computing . Her work pioneered logic obfuscation/locking for chip security, automated co-design of AI systems , watermarking/tracing of deep learning models , and physical proofs of provenance . She explores co-design with cryptographic constructs for privacy preservation and manages nonlinearities in ciphertext domains. Article Trends: Recent publications show expertise in neural watermarking (deepfakes, media authentication), zero-knowledge proof frameworks , Trojan attack defenses in ML models, secure federated learning , and hardware acceleration of cryptographic protocols . Her work combines machine learning , cryptography , and physical design security across 2022-2025 publications. Scientific Awards: Fellow of ACM Fellow of IEEE Fellow of National Academy of Inventors (NAI) Fellow of Kavli Foundation of NAS Inducted to NAI 2024 Fellows Advising & Leadership: She has advised multiple PhD students who became faculty at top universities (e.g., Stanford, Purdue). She chairs conferences like ACM WiSec 2024 and co-led the NSF SaTC decadal review. Her lab ( ACES Lab ) produces award-winning graduates like Bita Rouhani (DAC Under-40 Innovators) and Shehzeen Hussain (UCSD Best Dissertation Award).

Mehmetcan AkbulutView profile

Research Professor

• Photonics
• Directed Energy
• Remote Sensing
• +12 more

Mehmetcan Akbulut is an Associate Research Professor at the Wyant College of Optical Sciences , The University of Arizona. His office is located in GCRB 447. Research Focus: Photonics subsystems and systems development with applications in Directed Energy, Remote Sensing, Quantum Optical Networks, Optical Computing, Ultrafast & RF Photonics, and Biophotonics. Key Research Areas: High-energy fiber lasers, coherent beam combining, LIDAR systems, quantum communications, optical computing architectures, and photonic biosensors. Recent publications highlight advancements in injection-locked fiber lasers, SBS suppression techniques, optical Ising machines, and frequency comb applications. His work intersects academic and applied research through collaborations like the Center for Quantum Networks and CIAN projects. The Photonics & Systems Laboratory explores technologies for Directed Energy, wind shear sensing, distributed fiber sensing, and AI-driven biomedical imaging systems.

• Semantic Web
• Data Analytics
• Artificial Intelligence
• +3 more

John Breslin is a Personal Professor in Electronic Engineering at the College of Science and Engineering, University of Galway, serving as Director of the TechInnovate and AgInnovate programmes. Associated with two Taighde Éireann – Research Ireland Centres, he is a Principal Investigator at Insight Centre for Data Analytics (specializing in data analytics) and a Funded Investigator at VistaMilk (Agri-Technology), while also leading the EDIH Data2Sustain project. With an h-index of 50, over 12,000 citations, and 300+ peer-reviewed publications including seminal books on the Social Semantic Web, he ranks among Ireland's most influential researchers in digital technologies. Breslin's research fundamentally bridges Semantic Web technologies, AI-driven data analytics, and practical innovation. His co-creation of the SIOC framework—implemented across 65,000+ websites by entities like Yahoo and Boeing—demonstrates real-world impact in social data interoperability. Current work leverages blockchain and federated learning for sustainable Agri-Technology through VistaMilk, while his TechInnovate programmes translate academic research into commercial ventures across healthcare, smart manufacturing, and energy systems. Analysis of his 15 most recent publications reveals dominant themes in AI-enhanced security (35% of works), blockchain applications for sustainability (27%), and multimodal AI for healthcare (20%). His team pioneers privacy-preserving techniques for IoT and medical devices, neurosymbolic visual reasoning frameworks, and federated learning architectures addressing data heterogeneity—directly supporting his roles in national research infrastructures like Insight and VistaMilk. John has received several prestigious awards: IIA Net Visionary Award (twice) ITAG Outstanding Contribution to the ICT Sector Award Galway Chamber President’s Award Best Irish-Published Book Award (2020 for Old Ireland in Colour) Multiple Best Paper Awards He leads major research initiatives funded by Taighde Éireann – Research Ireland: Insight Centre for Data Analytics (as Principal Investigator) VistaMilk SFI Research Centre (as Funded Investigator) EDIH Data2Sustain (as Principal Investigator) His entrepreneurial programs TechInnovate and AgInnovate have mentored 200+ startups, securing €50M+ in follow-on funding. Breslin co-founded PorterShed (Galway City Innovation District) and serves on Scale Ireland's Steering Group, creating Ireland's most active regional innovation ecosystem outside Dublin. He maintains active industry partnerships with Vodafone, Boeing, and agricultural cooperatives through VistaMilk's testbed facilities.

Miguel Rico-RamirezView profile

Associate Professor

• Radar Hydrology
• Hydroinformatics
• Flood Forecasting
• +3 more

Dr. Miguel Rico-Ramirez serves as Associate Professor of Radar Hydrology and Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering. His research integrates advanced radar technology with hydrological modeling to address critical water resource challenges including flood forecasting, drought management, and precipitation measurement across diverse global contexts from South Korea to Mexico City. Education: Bachelor of Engineering (Eng.) Master of Engineering (M.Eng.) Ph.D. in Engineering, University of Bristol His research program focuses on radar-based precipitation estimation, hydroinformatics, and flood prediction systems. He pioneers deep learning applications for rainfall nowcasting and develops innovative methods for uncertainty quantification in hydrological modeling. Current work emphasizes cosmic-ray neutron sensor validation, satellite-based flood mapping, and seasonal forecast applications for reservoir operations, with strong emphasis on translating research into operational water management solutions. Recent publications (2023-2025) reveal three dominant research thrusts: (1) deep learning frameworks for spatiotemporal rainfall prediction, (2) global validation of precipitation and soil moisture datasets using novel sensor networks, and (3) operational implementation of seasonal forecasts for drought mitigation in South Korea. His work consistently bridges radar meteorology with practical hydrological applications across urban and data-scarce environments. Scientific Awards: No specific awards documented in source materials Dr. Rico-Ramirez supervises postgraduate researchers in radar hydrology and hydroinformatics, with projects spanning flood early warning systems, precipitation nowcasting, and climate adaptation strategies. His research receives funding for international collaborations focused on water security challenges, particularly in drought-prone regions and data-scarce basins like the Nile Delta. Current grants support development of integrated forecasting systems combining global datasets with machine learning for extreme event management. He leads the Radar Hydrology research group within Bristol's Water and Environmental Engineering division, collaborating closely with Professor Dawei Han on hydroinformatics and Dr. Rafael Rosolem on water-climate interactions. The team maintains active partnerships with meteorological agencies and water authorities globally, particularly in flood forecasting system implementation across South Korea and Mexico.

Daria TsoupikovaView profile

Professor

• Virtual Reality Design
• Digital Media
• Interactive Art
• +6 more

Daria Tsoupikova is a Professor of Digital Media Design at the University of Illinois Chicago's School of Design. She serves as Co-Founder and Design Chair of the bachelor's in computer science and design program and is affiliate faculty in the UIC Electronic Visualization Laboratory (EVL). Her work bridges artistic expression and technological innovation, focusing on virtual reality and interactive media applications across multiple domains. Her educational background includes: MFA in Computer Art from Syracuse University BFA in Graphic Design from Moscow State Academy Positioned at the crossroads of artistic and technological innovation, Tsoupikova's research explores the potential of new media and interactivity in relation to traditional arts. Through development of virtual reality art projects and networked multiuser exhibitions for VR projection systems like the CAVE and CAVE2, her work applies computer graphics to diverse research domains including educational multimedia, cultural heritage, and virtual rehabilitation for stroke survivors. Her approach integrates theater methodologies, design principles, and coding to create immersive experiences that address global challenges while preserving cultural heritage. Analysis of her publication history reveals an evolving trajectory from foundational VR art installations toward increasingly sophisticated therapeutic applications. Her recent work demonstrates a strong focus on the intersection of art, healthcare, and virtual reality, with particular emphasis on collaborative multiuser environments that transform traditional storytelling and therapeutic practices. The progression shows movement from artistic exploration to clinically validated therapeutic interventions with measurable patient outcomes. Her notable awards include: Session's Best Paper at IMCIC 2019 and QRMS/IMCIC 2016 Fulbright Scholar Award (2011) and Intercountry Lecturing Award Communication Arts Award of Excellence and Creative Quarterly Excellence Award National Endowment for the Arts grant and Presidential Award from University of Illinois Tsoupikova has secured significant research funding from the National Science Foundation, National Institute on Disability and Rehabilitation Research (NIDILRR), and the Department of Education for projects including MARS2 (2007-2012) and MARS3 (2012-2018). She has developed innovative courses including Mobile App Design where students collaborate with professional partners such as Caterpillar, UIC medical departments, and clinics. Her work with stroke survivors at the Shirley Ryan AbilityLab has demonstrated improvements in patients' daily lives, regained trust in their hands, and increased therapy motivation. She is deeply involved with the UIC Electronic Visualization Laboratory, collaborating on advanced visualization projects including IBM partnerships exploring sustainable development goals through VR. Her leadership in establishing the computer science + design undergraduate program positions UIC as the only public university in the United States offering such a specialized degree, reflecting her commitment to interdisciplinary education at the technology-art intersection.

Clinton FookesView profile

Professor

• Computer Vision
• Artificial Intelligence
• Human Behavior Analysis
• +7 more

Professor Clinton Fookes is a faculty member at the Queensland University of Technology (QUT) within the School of Electrical Engineering & Robotics . His research focuses on leveraging computer vision and artificial intelligence to develop automated systems that understand, anticipate, and interact with human behaviors, with applications in medical diagnostics, autonomous vehicles, defense, and industrial efficiency . Research areas include AI adaptability, multimodal biosignal analysis, and human-machine interaction Collaborates with CSIRO Data61, Defence Science and Technology Group, Orica, Airbus, and Sentient Vision Systems Develops systems for human action detection, infrastructure monitoring, and stress response prediction His work addresses critical challenges in AI deployment, such as environmental adaptability and reducing diagnostic errors in medical and autonomous systems. Recent publications highlight trends in self-supervised learning, zero-shot knowledge transfer, multimodal integration , and 3D reconstruction for healthcare , while exploring ethical AI use in sectors like mining and defense . Professor Fookes emphasizes interdisciplinary collaboration, bridging engineering, medicine, and social sciences to advance AI systems capable of real-world impact. His research agenda includes improving AI memory capabilities and explainability for safer, more reliable automation.

Kevin SchneiderView profile

Research Professor

• Power System Analysis
• Grid Modernization
• Microgrids
• +5 more

Kevin Schneider is a Laboratory Fellow at Pacific Northwest National Laboratory (PNNL), a Research Professor at Washington State University (WSU), and an Affiliate Associate Professor at the University of Washington. As manager of PNNL's Office of Electricity Subsector, he leads business development, client relations, and strategic investments in R&D for the grid sector, overseeing portfolios in component design, system modeling, hierarchical controls, secure communications, and energy storage. Dr. Schneider is internationally recognized for his expertise in power system analysis, planning, and operations. His research focuses on improving grid reliability and system flexibility by harnessing advanced grid concepts at the edge of power systems, including microgrids, energy storage, electric vehicles, distributed energy resources, and smart home appliances. At WSU, he is a researcher for the WSU and PNNL Advanced Grid Institute (AGI), implementing layered control architectures to enhance operational flexibility of critical power systems. His work spans multiple disciplines within electrical engineering and power systems, with strong emphasis on practical applications for grid modernization, particularly in grid resilience, microgrid operations, and integration of distributed energy resources. Dr. Schneider is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), where he has served in multiple technical leadership roles. His scientific contributions have been recognized with significant awards: Presidential Early Career Award for Scientists and Engineers (PCASE), 2019 Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Dr. Schneider earned his B.S. in Physics and M.S. and Ph.D. in Electrical Engineering from the University of Washington. He is a licensed Professional Engineer in Washington State. His research has resulted in numerous patents related to power grid technologies, including several focused on voltage and frequency stability of distribution systems. His work has substantial implications for grid modernization efforts and the development of more resilient power systems in the face of climate change and other challenges.

• Wireless Communications
• Machine Learning
• Digital Twins
• +5 more

Pierluigi Salvo Rossi is a Professor at the Department of Electronic Systems , Norwegian University of Science and Technology ( NTNU ), with additional roles as Deputy Head of Department (since 2021) and Deputy Manager at the Center for Green Shift in the Built Environment (since 2022). He also serves as a part-time Research Scientist at SINTEF Energy's Gas Technology department. Education: Ph.D. in Computer Engineering, University of Naples “Federico II”, Italy (2005) Dr.Eng. (cum laude) in Telecommunications Engineering, University of Naples “Federico II”, Italy (2002) Research Interests span Wireless Communications , Digital Twins , Machine Learning , and Statistical Signal Processing , focusing on applications like Industrial IoT , Fault Detection , and Energy Systems . His recent Publications highlight trends in Federated Learning , Graph Signal Processing , and Multi-Sensor Anomaly Detection across domains from Natural Gas Pipelines to Subsea Leakages . Scientific Awards include: Exemplary Senior Editor, IEEE Communications Letters (2018) Department Ambassador, NTNU (2016) IEEE Senior Member (since 2011) Professional Roles encompass editorial leadership (e.g., IEEE Sensors Journal) and conference organization (e.g., General Chair for IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022). He leads major funded research projects like PREFERENCE (RCN, 2023-2027) and AUTOSHIP (RCN, 2020-2028).

Imraan FaruqueView profile

Associate Professor

• Biologically-Inspired Flight Control
• Engineered Aerial Autonomy
• Unmanned Aerial Vehicles
• +2 more

Imraan Faruque is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU), part of the College of Engineering, Architecture and Technology (CEAT). His research focuses on biologically-inspired flight control systems, engineered autonomy for unmanned aerial vehicles (UAVs), and the integration of sensory feedback mechanisms in autonomous systems. Education: Faruque holds a Ph.D. and M.S. in Aerospace Engineering from the University of Maryland (2011 and 2010) and a B.S. in Aerospace Engineering from Virginia Tech (2006). Research Interests: His work emphasizes bio-inspired solutions for aerial autonomy, including swarm coordination, gust-aware flight control, and human-autonomy interaction. Key areas include unmanned systems design, visual feedback algorithms, and adaptive control strategies derived from insect flight dynamics. Awards: He has received notable accolades such as the ONR Young Investigator Award (2019), AIAA Hal Andrews Young Engineer/Scientist Award (2017), and multiple 'Best in Session' recognitions at major conferences. His team also secured 1st Place in the International Aerial Robotics Championship (2005). Publications: Faruque’s research spans topics like orbital debris management, swarm intelligence, and tornado sensing with UAVs. His work bridges biological principles and engineering, with applications in aerospace, robotics, and environmental monitoring.

Hailiang ChenView profile

Professor

• Artificial Intelligence
• FinTech
• Social Media
• +8 more

Hailiang Chen serves as Professor in Innovation and Information Management, Assistant Dean (Taught Postgraduate), and Director of the Artificial Intelligence Research Institute at HKU Business School, The University of Hong Kong. His academic journey includes a PhD and MS from Purdue University and a BM from Tsinghua University. Doctoral Degree: Management Information Systems, Purdue University Master Degree: Economics, Purdue University Bachelor Degree: Information Management and Information Systems, Tsinghua University Professor Chen's research spans artificial intelligence, FinTech, social media analytics, and platform economics, with significant contributions to understanding how digital interactions shape financial markets and consumer behavior. His work frequently examines the intersection of technology adoption and economic outcomes, particularly in cryptocurrency markets, live-stream commerce, and venture capital decision-making. His research methodology combines large-scale data analysis with experimental designs to uncover causal relationships in digital ecosystems. His publications in elite journals like Journal of Financial Economics and Management Science demonstrate consistent impact, with multiple ESI Highly Cited Papers. Current projects include Gov-RAG for e-government services and comparative studies of AI search tools. His research has received continuous funding from Hong Kong's Research Grants Council for five consecutive years (2019-2023). Faculty Outstanding Researcher Award, HKU Business School (2022-23) INFORMS ISS Sandra A. Slaughter Early Career Award (2022) Association for Information Systems Early Career Award (2019) Three ESI Highly Cited Papers (Top 1% in field) Professor Chen actively contributes to academic service as Associate Editor for Journal of Management Information Systems and MIS Quarterly , and serves as Program Chair for the International Conference on Smart Finance. His industry collaborations include Alibaba, HSBC, and China Construction Bank, bridging academic research with real-world business applications in AI implementation and digital transformation.

Li YangView profile

Assistant Professor

• Cybersecurity
• Machine Learning
• Deep Learning
• +12 more

Li Yang is an Assistant Professor in the Department of Information Technology , part of the Faculty of Business and Information Technology at Ontario Tech University. His research focuses on applying AI and machine learning to cybersecurity, particularly in intrusion detection and anomaly detection for 5G/6G networks and IoT systems. He holds a PhD in Electrical and Computer Engineering from Western University (2022), and has held roles such as Vice Chair of IEEE Computer Society, London Section (2022–2023). Education: PhD in Electrical and Computer Engineering, Western University (2022) Master of Science, University of Guelph (2018) Bachelor of Engineering, Wuhan University of Science and Technology (2016) Research Interests: His work spans cybersecurity, machine learning, deep learning, AutoML, model optimization, network automation, IoT security, intrusion detection, and adversarial machine learning. He develops frameworks for concept drift adaptation and online learning to enhance cybersecurity measures, with a focus on trustworthy AI and defense strategies against adversarial attacks. Awards: Graduate Student Award for Excellence in Research (2022) Graduate Symposium Award for Best Presentation (2022) Mitacs Accelerate Fellowship (2021) OC2 Lab Industrial Research Excellence Award (2020) Ranked in Stanford/Elsevier's Top 2% Scientists (2024) Grants & Involvement: Li Yang has contributed to conferences like IEEE GlobeCom and IEEE CCECE, and authored patents such as 'Convenient primary-secondary barrels' (2009). His work has garnered thousands of citations and GitHub stars, emphasizing practical applications of AI in cybersecurity.

Lawrence M. WeinView profile

Professor

• Operations Management
• Public Health
• Homeland Security
• +5 more

Lawrence M. Wein is the Jeffrey S. Skoll Professor of Management Science at Stanford University's Graduate School of Business, where he also serves as Senior Associate Dean of Academic Affairs. He holds a PhD in Operations Research from Stanford (1988) and has taught operations management at MIT (1988–2002) and Stanford since 2003. His research spans operations management, public health, and homeland security, with notable contributions to HIV therapy optimization, bioterror response logistics, and forensic science innovations. His academic roles include Senior Fellow at Stanford’s Center for International Security and Cooperation, and editorial leadership as Editor-in-Chief of Operations Research (2000–2005). Notable awards include the Kimball Medal, Lanchester Prize, and membership in the National Academy of Engineering. Research interests emphasize applying operations research to real-world challenges, such as optimizing radiation detection systems, analyzing sexual assault kit backlogs, and improving ballistic imaging techniques. His work bridges theoretical models with practical policy, impacting areas like healthcare, counterterrorism, and criminal justice. Key contributions include developing the workload regulating release policy in semiconductor manufacturing, influencing U.S. smallpox vaccination strategy, and advancing mathematical models for cancer treatment and pandemic influenza control. His recent focus includes forensic genetic genealogy and crime-solving technologies. Grants and collaborations span industries, governments, and academic institutions, reflecting interdisciplinary impact. His teaching includes courses on operations management, stochastic networks, and homeland security applications.