Find Academic Supervisors

• Marine Biology
• Experimental Ecology
• Population Genetics
• +3 more

Robert Black is an Honorary Research Fellow at the School of Biological Sciences, The University of Western Australia, with expertise spanning marine biology, experimental ecology, and population genetics. His research contributes significantly to UN Sustainable Development Goals related to environmental protection and biodiversity conservation. BA from University of Saskatchewan MSc from University of British Columbia PhD from University of California His primary research interests include marine invertebrate ecology, genetic diversity analysis, population dynamics, and reproductive biology. Black's work often focuses on Western Australian marine ecosystems, particularly studying species like limpets, snails, and giant clams. His fingerprint analysis shows strong expertise in snail biology (100%), allozyme analysis (66%), Western Australia ecosystems (66%), genetic divergence (40%), and gene flow (25%). His publication record shows consistent output with works spanning from 1996 to 2025, demonstrating long-term research continuity. His recent articles reveal a dual focus on marine ecology and human reproductive biology, with significant attention to population dynamics across diverse species from marine invertebrates to mammals. Black's research has generated considerable academic and public interest, with some publications gaining coverage from 41 news outlets, blogged by 7 sources, and shared across multiple social media platforms including X (82 users), Facebook (4 pages), and Bluesky (2 users). He has received research funding through prestigious Australian programs including ARC Discovery Projects (2003-2004) and Fisheries Research & Development Corporation (1995-1996), demonstrating sustained support for his investigative work in marine ecology and conservation biology.

• Electrical Engineering
• Biomedical Engineering
• Forensic Engineering
• +3 more

Michael Morse is a Professor in the Department of Electrical Engineering at the University of San Diego. He holds a PhD from Clemson University and dual MS/BS degrees in Biomedical Engineering from Tulane University. His career spans academia, industry, and legal practice, with expertise in electrical safety, forensic engineering, and the intersection of technology with civil rights law. Morse is a licensed attorney specializing in technology law and has testified as an expert witness in state and federal courts. Education: PhD (Clemson University, 1985), MS/BS (Tulane University, 1981–1982) Law Degree: Juris Doctor (USD Law School, 1999) with California Bar license Affiliations: Tenured Professor, Electrical Engineering; Adjunct in USD's Law School Morse’s research focuses on electrical accident analysis, diffuse electrical injury mechanisms, and legal implications of product safety. Key areas include forensic investigations of electrical failures, long-term neurological effects of low-voltage exposure, and designing systems resilient to legal scrutiny. His work bridges engineering and law, emphasizing safety standards compliance and public health protection. His publications explore electrical shock drowning risks, prototype design fixation, and gender differences in injury outcomes. Morse has advised five Master’s students at Auburn University and consults on electromechanical product liability cases. He holds a patent for an electrical stimulation system and has received grants from the NSF. Awards: NSF Initiation Grant (1987), Declined IEEE Grant Consultancy: Expert in electrical injury litigation and product failure analysis Morse teaches courses on electrical safety design and legal aspects of engineering. His interdisciplinary approach integrates forensic engineering, biomedical research, and legal ethics to address real-world technological challenges.

• Natural Language Processing
• Machine Learning
• Social Media Analysis
• +3 more

Dr. Fatima Haouari is a Research Fellow in the School of Computer Science at the University of Sheffield, specializing in Machine Learning and Natural Language Processing (NLP). She is a core member of the Natural Language Processing research group, focusing on advancing methodologies for misinformation detection, rumor verification, and social media analysis. Her work integrates computational linguistics with real-world applications, including developing multilingual systems for Arabic-language content analysis. Haouari has pioneered datasets such as ArCOV-19 and ArCOV19-Rumors , which provide foundational resources for studying Arabic social media content during the pandemic. She is a key contributor to the CLEF-CheckThat! initiative, leading tasks on check-worthiness estimation, authority identification, and adversarial robustness in fact-checking systems. Her technical work includes optimizing resource allocation for live streaming and transcoding systems, reflecting a dual focus on theoretical NLP and practical system design. Her research trends emphasize cross-lingual challenges in information verification across platforms like Twitter, with a focus on Arabic language processing. Recent work highlights include real-time claim verification systems (e.g., Tahaqqaq) and frameworks for detecting stance of authoritative voices in rumors. While not explicitly noted, her contributions span both academic publications and applied systems development. She collaborates extensively in international research networks and has designed benchmark evaluation tasks for NLP challenges.

Mozhgan VazifehdoostiraniView profile

Researcher

• Process Mining
• Predictive Monitoring
• Machine Learning
• +3 more

Mozhgan Vazifehdoostirani is a University Researcher at the Department of Information Systems IE&IS, Eindhoven University of Technology. Her work focuses on process mining, predictive monitoring, and machine learning applications in healthcare and industrial processes. She collaborates internationally, with research interests spanning process analytics, pattern discovery, and explainable AI. Education: Her academic background includes studies leading to her current role as a researcher, though specific degrees are not detailed here. Research Interests: Mozhgan's research emphasizes outcome-oriented predictive process monitoring, particularly in healthcare contexts. She develops tools like IMPresseD for multi-interest process pattern discovery and explores activity location impacts on prediction accuracy. Her work bridges technical process mining with clinical applications, aiming to improve treatment personalization and process efficiency. Collaborations: Engages with global institutions, focusing on case studies in esophagogastric cancer treatment processes and cross-domain process analytics. Her research outputs include 8 peer-reviewed conference contributions between 2022-2025. Courses: Contributes to teaching Business Process Simulation, Algorithmic Programming for Operations Management, and Business Process Management courses at TU Eindhoven. Labs/Teams: Active within the process mining community, collaborating with groups like the TU/e Process Analytics Lab and international consortiums in healthcare process optimization.

• Recommender Systems
• Social Bookmarking
• Data Mining & Machine Learning
• +3 more

Prof. Robert Jäschke is a Professor at the Institute of Library and Information Science, Humboldt-Universität zu Berlin, within the Faculty of Arts. His primary research focuses on Recommender Systems, Social Bookmarking, Data Mining & Machine Learning, Web Archiving, and Open Science. He leads projects like AI-SKILLS and UnknownData, and operates BibSonomy, a social tagging system. Jäschke advises on DINI and the Specialized Information Service for Book, Library, and Information Science. His work bridges computational methods with humanities, evident in his contributions to music entity detection, Vossian antonomasia analysis, and digital literary frameworks. Research interests span interdisciplinary applications of AI in cultural studies, formal concept analysis, and web archiving. Notable projects include analyzing regional research networks (REGIO) and evaluating dataset creation for concept detection. Teaching includes courses on information processing, data analysis, and web science. Publications reflect a strong focus on computational linguistics, music informatics, and digital humanities. His blog weltliteratur.net explores world literature in digital contexts. Collaborations emphasize open science practices and tool development for academic communities.

Paul RobertsView profile

Associate Professor

• Road Safety
• Driver Fatigue
• Driver Distraction
• +3 more

Associate Professor Paul Roberts is affiliated with the School of Psychological Science at the University of Western Australia, where he serves as Deputy Director of the Western Australian Centre for Road Safety Research. With over 25 years of academic experience, his expertise spans road safety, driver fatigue, distraction, and error. He holds a PhD in experimental psychology from UWA, focusing on implicit learning and memory. Roberts advises organizations globally on fatigue management and co-organizes the International Conference on Fatigue Management in Transport. He is a recognized expert on digital billboard safety impacts, leading numerous research and consulting projects. Education: PhD in Experimental Psychology, University of Western Australia. Research interests include human factors in road safety, driver behavior analysis, and infrastructure design. His work addresses real-world challenges like distracted driving, fatigue management, and infrastructure safety evaluations. Grants and projects include leadership in the ARC Training Centre for Automated Vehicles in Rural and Remote Regions, evaluations of the Black Spot Program, and studies on turbo roundabouts and diverging diamond interchanges. He collaborates with Main Roads Western Australia and industry partners to advance road safety solutions. Labs/Teams: Western Australian Centre for Road Safety Research, Planning and Transport Research Centre.

Yeray Barrios-FleitasView profile

Researcher

• Gamification
• Higher Education
• Computer Science
• +7 more

Yeray Barrios-Fleitas is a PhD Candidate at University of Twente (Formal Methods and Tools group) with prior academic affiliations at Universidad de La Laguna , where he earned a Master in Computer Science (2016) and a Bachelor in Computer Science Engineering (2014). His work intersects computer science, gamification, and educational technology. Research Interests : Focused on Gamification for education and health Team dynamics and effectiveness Application of NLP in educational contexts Serious games for behavior change Active video games in schools Inclusion strategies in learning environments Publications & Trends : His research spans gamification in higher education, exergames for healthy habits, and NLP-driven team role analysis. Recent work addresses sustainability optimization and comparative gamification models. Key themes include leveraging technology for behavioral and educational improvements. Collaborations & Projects : He contributed to the Edhospi project as a research assistant (2015-2016) and served as an Educational ICT and MOOC advisor at Universidad de La Laguna (2016-2017). His current PhD research explores formal methods in gamification and team dynamics.

Lisa AustinView profile

Researcher

• Clinical Research
• Health Technology
• Autism Spectrum Disorders
• +3 more

Lisa Austin is a Researcher and Research Hub Manager in the Department for Health at the University of Bath. She holds a Master of Science in Clinical Research from Cardiff University (2008) and a Doctor of Health (DHealth) from the University of Bath (2015). Her research focuses on health technology, assistive technologies for autism spectrum disorders, and chronic pain management, with an emphasis on usability and feasibility studies in clinical settings. Her work includes leading projects such as the 'Computerised Assessment of Adolescent Chronic Pain: A Feasibility Study of the BAPQ-C' (2016–2018) and the 'Industry Engagement Fund' through the MRC (2016). She has developed tools like the ASCmei.T app to capture technological ideas for autism support and the ifOnly app to address unmet needs in chronic conditions. Awards: None explicitly listed in the provided text. However, her research outputs include peer-reviewed publications and open-access contributions, reflecting her commitment to impactful healthcare innovation. Advising and Grants: Lisa Austin has secured research funding from the Bath Institute for Rheumatic Diseases and the MRC. Her doctoral thesis explored essential oil treatments for insomnia in dementia patients, supervised by Dr. R. Jones. She collaborates with multidisciplinary teams in academia and industry to advance healthcare technologies. Labs/Teams: While not explicitly named, her projects suggest involvement with teams focused on assistive technologies, chronic pain assessment, and healthcare innovation at the University of Bath and partner institutions.

• Road Safety
• Injury Prevention
• Injury Data Analysis
• +3 more

Angelo D'Elia is a Research Fellow at the Monash University Accident Research Centre (MUARC) and a Statistical Consultant at the Victorian Injury Surveillance Unit (VISU). He holds a PhD in Public Health and Honours degrees in Mathematical Statistics and Mechanical Engineering. His expertise spans road safety evaluation, vehicle safety research, data linkage, and injury prevention. He leads and contributes to over 40 research projects, focusing on crash data analysis, countermeasure effectiveness (e.g., speed enforcement, airbags), and trauma trend modeling. D'Elia has authored 68+ publications and received awards for his work, including the 2024 Peter Vulcan Best Paper Award. He advises PhD students and collaborates internationally, contributing to policy through expert submissions to government inquiries. Education: Doctor of Philosophy in Public Health Bachelor of Science (Honours) in Mathematical Statistics Bachelor of Engineering (with Honours) in Mechanical Engineering Research Interests: Angelo’s work centers on optimizing administrative data for injury prevention, evaluating road safety programs (e.g., automated enforcement, vehicle safety tech), and developing advanced statistical models. He emphasizes translating data into actionable insights for policy, such as real-time injury tracking systems and baseline trauma models. Articles Trends: Recent work highlights vehicle safety regulations, injury severity scoring via linked data, and pandemic impacts on road safety. His analyses often combine large-scale datasets with time-series modeling to identify trends and inform policy. Awards: Peter Vulcan Best Paper Award (2024) MIRI Award for Best Early Career Paper (2013) Advising & Grants: Accepts PhD students and leads major grants evaluating NSW automated enforcement programs, crash avoidance technologies, and vehicle safety innovations. Collaborates with MUARC teams and external agencies on road trauma reduction initiatives. Labs/Teams: Member of the Injury Analysis and Data team at MUARC and VISU, focusing on statistical methodologies and interdisciplinary road safety solutions.

Claire Morgan-DaviesView profile

Professor

• Precision Livestock Farming
• Small Ruminant Management
• Electronic Identification
• +7 more

Claire Morgan-Davies is a Reader in Integrated Land Management at Scotland's Rural College (SRUC), where she leads research at the Hill & Mountain Research Centre. She holds a PhD from the University of Edinburgh, an Ingenieur en Agriculture degree from UniLaSalle, and a Master's in Land Resource Management from Cranfield University. Her research focuses on extensive livestock production systems, particularly in hill and mountain areas. Dr. Morgan-Davies specializes in precision livestock farming technologies, electronic identification systems, and sustainable intensification approaches for sheep and goat farming. Her work examines the intersection of technology adoption, farm economics, and animal welfare in marginal agricultural environments. Analysis of her recent publications reveals a strong emphasis on practical applications of digital technologies in small ruminant farming. Her research spans precision monitoring systems, welfare assessment tools, and economic analyses of technology adoption. The work demonstrates increasing integration of sensor technologies, data analytics, and farmer-centered approaches to address challenges in extensive farming systems. British Society of Animal Science, President's Prize (2016) Dr. Morgan-Davies has successfully supervised multiple PhD students on topics related to precision livestock farming and sheep management. She leads significant research projects including EU H2020 initiatives TechCare (£4.9 million) and Sm@RT (£1.7 million), focusing on integrating innovative technologies for small ruminant welfare management. Her grant portfolio demonstrates strong international collaboration across European research institutions. She actively contributes to the Hill & Mountain Research Centre at SRUC and collaborates with international networks including the Precision Livestock Farming Scientific Commission of EAAP, where she serves as Vice-President. Her work bridges academic research with practical farming applications through extensive knowledge exchange activities with the agricultural industry.

Vahid Heydari Fami TafreshiView profile

Senior Lecturer

• Cybersecurity
• Internet of Things Security
• Network Forensics
• +2 more

Dr. Vahid Heydari Fami Tafreshi is a Senior Lecturer and Cybersecurity Course Director at Staffordshire University's London Digital Institute. With a PhD in Network Security from the University of Surrey, he leads BSc and MSc Cybersecurity programs while teaching across networking and security modules. His research focuses on Internet Protocols & Architectures, Network Forensics, and IoT Security, evidenced by publications in IEEE, Elsevier, and ZTE Communications. Research interests center on securing next-generation networks through innovations in: Secure packet forwarding architectures IoT authentication frameworks MANET security protocols Software-defined networking security Publications demonstrate consistent focus on practical network security solutions, with recent work exploring AI applications in vulnerability testing and ontology-based supply chain security. Earlier research established foundations in VoIP security, satellite network cryptography, and Byzantine fault tolerance for routing systems. Professional activities include supervision of PhD candidates and examining theses, with industry collaborations spanning Airbus Group, Royal Air Force, and NHS organizations. As Fellow of the Higher Education Academy, he develops cybersecurity curricula for both traditional and apprenticeship programs.

• Cryptography
• Cryptanalysis
• Block Ciphers
• +5 more

Liam Keliher is an Associate Professor in the Department of Mathematics and Computer Science at Mount Allison University. His research focuses on cryptography, particularly cryptanalysis of block ciphers, linear and differential cryptanalysis techniques, and provable security in symmetric-key systems. He has contributed to the analysis of ciphers like Camellia, AES (Rijndael), and SPN structures, emphasizing vulnerability assessment and cryptographic protocol validation. His work spans theoretical and applied cryptography, including slide attacks on iterated ciphers, weak key identification, and the design of secure substitution-permutation networks. He has published extensively in venues such as the Selected Areas in Cryptography (SAC) workshops and peer-reviewed journals, addressing both classical ciphers (e.g., Hill cipher variants) and modern encryption standards. Notable contributions include refining bounds for differential and linear cryptanalysis on AES and evaluating security metrics for SPNs with randomized S-boxes. His research bridges foundational cryptographic principles with practical security evaluations, ensuring robustness against emerging threats. While no scientific awards are explicitly listed, his prolific publication record and conference contributions highlight his expertise in cryptanalysis and cryptographic systems design. He teaches advanced courses in computer science, such as COMP4951-A, and has supervised student projects in related areas.

• Neural Engineering
• Biomedical Engineering
• Human-Computer Interaction
• +3 more

Alexandre Armengol Urpi is a Postdoctoral Associate at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Mechanical Engineering within the School of Engineering. His research focuses on neural engineering, biomedical engineering, human-computer interaction, IoT systems, and signal processing. He explores applications such as brain-computer interfaces (BCI), EEG-based diagnostics, and augmented reality (AR) integration with IoT devices. His work emphasizes translating tacit expert knowledge into actionable data, improving medical diagnostics through machine learning, and enhancing cybersecurity in BCI systems. Projects include developing wireless health-monitoring systems and hands-free AR navigation tools using SSVEP signals. Recent studies address covert spatial attention decoding, industrial IoT-AR systems, and RFID innovations beyond traditional identification. While no formal student advisees are listed, his research collaborations involve interdisciplinary teams across MIT. His contributions span theoretical frameworks and practical implementations, with a focus on closing the gap between human expertise and technological systems. Key research trends include integrating biosignals with smart devices, enhancing neural interface accuracy, and applying deep learning to object pose estimation in industrial contexts. His publications highlight a balance between foundational neuroscience and applied engineering solutions. No scientific awards or grants are explicitly mentioned in the provided texts.

Moutaz HaddaraView profile

Professor

• Big Data
• Internet of Things (IoT)
• Enterprise Resource Planning (ERP) Systems
• +5 more

Prof. Moutaz Haddara is a Professor of Information Systems at Kristiania University College (Oslo, Norway), and holds adjunct professorships at SP Jain School of Global Management, TIAS School for Business & Society, University of South-Eastern Norway, and the American University in Cairo. He is the Founding Director of the IDEAS Lab and Program Manager for the IS-Digital Business Systems MSc program. His research focuses on ERP systems, Big Data, IoT, and digitization, with over 100 publications. He has received awards such as the Certificate of Excellence in Teaching and the Techne Summit Award. His work spans academic roles, industry consulting, and advisory roles for entities like Microsoft Dynamics Academic Alliance. Education : PhD in Information Systems from the University of Agder (Norway). Formerly an Associate Professor at Luleå University of Technology (Sweden). Research Interests : ERP lifecycle, cloud-based systems, IoT applications in healthcare and agriculture, big data analytics, and enterprise systems sustainability. His recent work examines smart city technologies, sustainable ERP adoption, and IoT in energy management. Grants & Projects : Funded projects from Egyptian, Norwegian, Finnish, and Swedish governments focusing on ERP systems and Big Data. Currently evaluates technology grants for the Egyptian Ministry of Communications. Awards : Includes teaching excellence, outstanding reviewing contributions, and recognition for service to academic institutions. Labs & Teams : IDEAS Lab (focusing on digital innovation and enterprise systems).

Michael CianfroccoView profile

Associate Professor

• Structural Biology
• Cryo-Electron Microscopy (Cryo-EM)
• Microtubule-Based Intracellular Transport
• +4 more

Michael Cianfrocco is an Associate Professor at the University of Michigan, holding dual roles in the Department of Biological Chemistry (Medical School) and the Life Sciences Institute. His research focuses on structural biology and microtubule-based transport, leveraging cryo-electron microscopy (Cryo-EM), single-molecule methods, and computational tools to study motor proteins like kinesin and dynein. Education: B.S. in Biochemistry, Providence College (2007) Ph.D. in Biophysics, University of California, Berkeley (2012) Postdoctoral Fellowships at Harvard Medical School and UC San Diego (2013–2017) Research Interests: His lab investigates how motor proteins transport cargo in cells, with emphasis on specificity, regulation, and pathogen hijacking. They also develop computational tools like cryoEDU and CryoRL to streamline Cryo-EM workflows. Key areas include viral transport mechanisms, microtubule dynamics, and AI-driven microscopy automation. Awards: 2013 Damon Runyon Cancer Research Foundation Award 2017 University of Michigan Biological Sciences Scholar Advising & Leadership: Director of the Perrigo Undergraduate Summer Fellowship Program. Mentors students in the Life Sciences Institute and collaborates with teams in cellular and molecular biology. Active in graduate programs in Biomedical Sciences, Chemical Biology, and Biophysics. Labs & Teams: Leads the Cianfrocco Lab, which includes researchers, postdocs (e.g., Andrew Hensley, Lai Wei), and a vibrant graduate cohort. Collaborates with experts in structural biology, computational science, and virology.