جستجوی استاد راهنمای دانشگاهی

• Cloud Computing
• Telemedicine
• Wearable Technology
• +۴ مورد دیگر

Massimo CANONICO is an Associate Professor at the Università del Piemonte Orientale Amedeo Avogadro , Department of Science and Technological Innovation. His research focuses on Cloud Computing , Telemedicine , Wearable Technology , and Urban Climate Analysis . He leads projects like KITE: Knowledge-Intensive and Technology-Enhanced Patient Emergency Management as a Co-Investigator, emphasizing interdisciplinary collaboration. His work contributes to UN Sustainable Development Goals, particularly in healthcare innovation and environmental sustainability. Key achievements include the HealthTracker System (cloud-based wearable healthcare monitoring) and Step-App® (telemonitoring for post-surgical patients). He actively publishes in peer-reviewed journals and conferences, with a focus on applications in medical education, urban heat islands, and cybersecurity. Email: massimo.canonico@uniupo.it

• Forensic Science
• Drug Intelligence
• Organized Crime Analysis
• +۶ مورد دیگر

Dr. Marie Morelato is a Senior Lecturer at the University of Technology Sydney (UTS), affiliated with the School of Mathematical and Physical Sciences and the Centre for Forensic Science. She holds a PhD in drug intelligence from UTS (2015) and a prestigious Chancellor’s Postdoctoral Research Fellowship (2015–2019). Her research focuses on forensic intelligence, illicit drug data analysis, and organized crime systems, emphasizing data triangulation from sources like cryptomarkets, seizures, and wastewater. She teaches courses such as Forensic Intelligence and serves as Course Director for the Bachelor of Forensic Science program. Marie has received awards including the UTS Teaching and Learning Award (2022) and recognition for contributions to student learning (2024). She leads grants on drug surveillance, including the Residue and Post Overdose Substance Testing (RePOST) project and studies on opioid-related harms. Her editorial roles include Associate Editor for Forensic Science International and contributions to the International Association of Forensic Sciences. Her work bridges forensic science with intelligence-led policing, advancing methodologies like machine learning for crime scene analysis and portable NIR drug detection. She collaborates with agencies like the Australian Federal Police and emphasizes interdisciplinary approaches to tackle complex criminal systems.

James Wallmanمشاهده پروفایل

استاد

• Forensic Entomology
• Invertebrate Biology
• Biology of Flies
• +۳ مورد دیگر

Professor James Wallman is the Dean of the Faculty of Science at the University of Technology Sydney (UTS). He previously served as Head of the School of Life Sciences at UTS and held leadership roles in the Faculty of Science, Medicine and Health at the University of Wollongong. A renowned entomologist, he specializes in forensic entomology, particularly the biology of flies and their applications in criminal investigations. His work spans over 30 years, contributing to casework for Australian police jurisdictions. James holds a PhD and a Bachelor of Science (Honours) from the University of Adelaide. His research focuses on carrion-breeding flies, forensic entomology, and insect biodiversity. He has published extensively in top journals and enhanced public understanding through media appearances and documentaries. He is a Fellow of the Royal College of Pathologists of Australasia, the Royal Entomological Society, and the Royal Society of New South Wales. His awards include an Australian Learning and Teaching Council Citation for his contributions to student learning in entomology. James’ research emphasizes decomposition studies, insect succession patterns, and the integration of genomics with forensic entomology. His work bridges ecological studies and criminalistics, advancing methodologies for estimating time since death and improving forensic evidence analysis.

• Natural Language Processing
• Data Mining
• Knowledge Discovery
• +۳ مورد دیگر

Dr. Madeleine Janickyj is a Research Fellow in Natural Language Processing (NLP) at the Department of Computer Science, University College London (UCL), affiliated with the Violence, Health, and Society (VISION) Consortium. She holds a PhD from Coventry University’s Centre for Fluid and Complex Systems, where her research focused on textual analysis using NLP. Her academic background includes a First-Class BSc in Mathematics from Coventry University, complemented by a placement year during her degree. Her research interests span natural language processing, data mining, knowledge discovery, and their applications to interdisciplinary challenges such as tech-facilitated abuse analysis, gender representation in mythologies, and network analysis of literary works. She collaborates extensively through the VISION Consortium to address societal issues through computational methods. Recent publications highlight her work on technology-facilitated abuse personas, global Delphi studies on abuse conceptualization, and comparative media analysis of narrative structures. While no awards are explicitly mentioned, her interdisciplinary approach bridges computer science with social sciences and humanities. No advising or grant-related information is provided in the text. Her affiliations emphasize collaborative research environments, particularly in UCL’s Computer Science department and the VISION Consortium.

Scott Sigmund Gartnerمشاهده پروفایل

استاد

• National Security
• International Security
• Counter-Terrorism
• +۳ مورد دیگر

Scott Sigmund Gartner serves as the Provost of the U.S. Naval Postgraduate School and holds an affiliate Professor position at Penn State's School of International Affairs. He earned his Ph.D. and M.A. from the University of Michigan, and dual M.A. and B.A. degrees (with honors) from the University of Chicago. His research focuses on national/international security, counter-terrorism, cyber security, and conflict mediation. Key interests include policy assessment, military casualty politics, and international dispute resolution. Over 50 academic publications span political science, military intelligence, and public policy. His work has been funded by the National Science Foundation, National Security Agency, and others. Notable awards include the Jefferson Award and multiple reference/publication accolades. Current research projects address counter-terrorism strategies, military suicide, and casualty impact analysis. He regularly contributes op-eds to major outlets like The New York Times and is frequently featured in media discussions on national security topics.

Xavier Roca Radaمشاهده پروفایل

پژوهشگر

• Ancient DNA Analysis
• Population Genomics
• Human Evolution
• +۳ مورد دیگر

Xavier Roca Rada is a Postdoctoral Research Associate at Brown University's Center for Computational Molecular Biology (CCMB) and Data Science Institute, working under Emilia Huerta-Sánchez. His research focuses on ancient DNA analysis, particularly in population genomics and human evolution. He holds a PhD in Paleogenomics from the Australian Centre for Ancient DNA (ACAD), University of Adelaide, and has prior postdoctoral experience at the University of Coimbra in Portugal. Education includes a BSc in Biology from the Autonomous University of Barcelona (UAB) and a joint MSc in Biological Anthropology between UAB and the University of Barcelona. His work spans ancient DNA applications in forensic genetics, genetic history reconstruction, and population dynamics, with a focus on Iberian, Mesoamerican, and South American populations. Recent studies explore ancient DNA methodologies, such as metagenomic classifiers for DNA mapping and genome-wide hybridization capture. His research also addresses ancient pathologies like trisomy and Klinefelter's syndrome, linking genetic data to historical and archaeological contexts. Research contributions include genetic analyses of prehistoric and historic populations, shedding light on migration patterns, cultural interactions, and demographic shifts. Xavier actively engages with interdisciplinary teams at CCMB and the Data Science Institute to advance computational methods in molecular biology.

• Optoelectronics
• Hyper-Spectral Imaging
• Biomedical Engineering
• +۴ مورد دیگر

Professor Balas Costas is a full Professor and Director of the Electronics Lab at the School of Electrical and Computer Engineering, Technical University of Crete. His expertise spans optoelectronics, biomedical imaging, and medical device innovation. He earned his Ph.D. in medical physics from the University of Patras (1992) and has led pioneering research in hyper-spectral imaging and non-invasive diagnostics. Key roles include founder of DySIS-Medical, a medical device company, and inventor of the DySIS imaging system for cervical neoplasia detection. Awards include the 2013 Greece Innovates Applied Research & Innovation Competition. Research interests focus on optical biopsy, biomedical spectral imaging, and diagnostic device development. His work bridges academia and industry, with contributions to global health through cost-effective diagnostic tools. Notable projects include the development of the DySIS device, validated through multinational clinical trials, and hyperspectral imaging systems for art conservation. Publications span biomedical optics, diagnostic technologies, and material analysis. Grants and venture capital funding (€15M+) support his research. He is a member of IEEE Photonics Society, SPIE, and Optical Society of America.

Charlie Maceمشاهده پروفایل

دانشیار

• Bioanalytical Chemistry
• Materials Chemistry
• Analytical Chemistry
• +۷ مورد دیگر

Charlie Mace is an Associate Professor at Tufts University , with dual appointments in the School of Arts and Sciences (Chemistry) and the School of Engineering (Biomedical Engineering) . His research focuses on developing low-cost, patient-centric diagnostic technologies for resource-limited settings, merging analytical chemistry, materials science, and engineering principles. PhD Biophysics, University of Rochester BS Physics, Le Moyne College His work addresses global health challenges through paper-based microfluidics , self-collected blood/saliva sampling , and field-deployable diagnostic kits . Key innovations include patterned dried blood spot cards and leukocyte depletion techniques for improved DNA sequencing. Recent publications emphasize standardization of microsampling , colorimetric fentanyl detection , RT-LAMP assays for SARS-CoV-2 , and HIV viral load quantification . Collaborations span clinical, academic, and industry partners in Africa, South America, and the U.S. NSF CAREER Award Analytical Methods Emerging Investigator He has secured grants from the National Institutes of Health , U.S. Department of Defense , and Bill & Melinda Gates Foundation for projects including rapid COVID-19 diagnostics and self-contained plasma separators . His lab holds multiple patents on blood separation and paper-based device designs.

Mark Greenمشاهده پروفایل

استاد

• Materials Chemistry
• Condensed Matter Physics
• Solid-State Chemistry
• +۳ مورد دیگر

Professor Mark Green is a Professor of Materials Chemistry at the University of Kent, affiliated with the School of Chemistry and Forensic Science. He holds the role of Chief Examiner and leads research in materials chemistry, particularly focusing on magnetic materials, superconductors, and crystal structures. His work emphasizes understanding complex phenomena like antiferromagnetism, spin dynamics, and interstitial doping in materials such as Nb12O29, FeTe, and perovskite oxyhydrides. Research interests include the structural and magnetic properties of materials under varying conditions, as well as the synthesis and characterization of novel materials for energy and electronic applications. Green’s publications span over 130 articles, with recent work highlighted in Nature Communications , Physical Review Letters , and ACS Publications . Key contributions include studies on titanium-doped Nb12O29 antiferromagnets, spin fluctuations in FeTe compounds, and the development of pressure-stabilized perovskite oxyhydrides. His research often involves collaborations on structural analysis, neutron scattering, and advanced spectroscopic techniques. Affiliated with the Materials for Energy and Electronics (MEE) research group, Green’s work bridges fundamental materials science with applications in energy and technology. His lab investigates materials for next-generation electronics and sustainable energy solutions.

Katie Paxton-Fearمشاهده پروفایل

مدرس

• Cyber Security
• Data Science
• Artificial Intelligence (AI)/Machine Learning (ML)
• +۴ مورد دیگر

Dr. Katie Paxton-Fear is a Lecturer in Cyber Security at Manchester Metropolitan University, specializing in the intersection of data science, AI, and security. Her research focuses on applying data science and AI to cybersecurity challenges while addressing security concerns within AI/ML systems. She is an active web security researcher and educator, contributing free resources via YouTube. Her work includes vulnerability discovery in organizations like Verizon and the Department of Defense, and she explores ancient language decipherment as a side interest. Paxton-Fear holds a PhD in Defence and Security from Cranfield University and a BSc in Computer Science from Salford University. She teaches undergraduate and postgraduate courses on Security Fundamentals, Penetration Testing, and IoT Security. Her research interests span interdisciplinary topics such as secure development practices, API/web security for cyber-physical systems, and leveraging NLP for insider threat analysis. She advocates for collaboration between developers and security professionals, emphasizing proactive security measures. Paxton-Fear is also a media commentator featured in outlets like BBC, ZDNet, and Wall Street Journal, discussing bug bounty programs and diversity in cybersecurity. Her recent publications highlight forward-looking cybersecurity frameworks, prototyping for secure systems, and computational methods for ancient language analysis. She emphasizes data-driven approaches in security research and promotes accessibility to advanced tools like NLP for defense applications. Beyond academia, she actively engages in bug bounty hunting and maintains a YouTube channel dedicated to demystifying cybersecurity concepts for beginners.

Sarah Seymour-Smithمشاهده پروفایل

دانشیار

• Gender Studies
• Health Psychology
• Discourse Analysis
• +۱۲ مورد دیگر

Dr Sarah Seymour-Smith is an Associate Professor of Discourse & Masculinities in Psychology at Nottingham Trent University (NTU), where she leads qualitative research and teaching in psychology. With a focus on masculinity and health, her work spans prostate cancer disparities in African-Caribbean communities, support group dynamics, and online sex offenses. School of Social Sciences, NTU PhD from The Open University (supervised by Professors Margaret Wetherell and Ann Phoenix) Her research examines how gendered identities influence health outcomes, including co-developing the prostate cancer app Check tings out . Recent publications address hoarding behavior, digital interventions, and sexual consent discourse. She supervises 4 ongoing doctoral candidates and has mentored 11 to completion. Scientific awards include the 2022 BPS Psychology of Women & Equalities Section’s Professor Marcia Worrell Mentoring Award and the 2017 BPS QMiP mid-career citation. She serves as Associate Editor for Psychology of Men and Masculinities and is a committee member of multiple academic groups. Co-PI on NTU's Strategic Funded Consent is Everything programme Lead for Discourse Research Group and REF panel member

Gerrad Jonesمشاهده پروفایل

استادیار

• Environmental Chemistry
• Water Quality Management
• Geochemical Cycling
• +۳ مورد دیگر

Gerrad Jones is an Assistant Professor in the Department of Biological & Ecological Engineering at Oregon State University's College of Agricultural Sciences. His research focuses on environmental health, combining statistical and machine learning models to address complex interactions in environmental systems. He explores water quality through machine learning-driven analyses of landscape processes, and investigates soil geochemistry to understand trace element dynamics linked to human health under climate change. His work spans field-to-global scales, emphasizing the application of advanced analytics to environmental challenges such as wastewater treatment optimization, pollution source tracking, and nutrient cycling in soils. Jones has contributed to over 50 peer-reviewed publications since 2006, with recent work emphasizing machine learning applications in environmental forensics and trace element modeling. His research integrates interdisciplinary approaches from environmental engineering, chemistry, and data science to address pressing ecological and human health issues.

Liam Bluntمشاهده پروفایل

استاد

• Surface Metrology
• Precision Engineering
• Additive Manufacturing
• +۲ مورد دیگر

Professor Liam Blunt is Professor of Engineering and Director of the Centre for Precision Technologies at the University of Huddersfield's School of Computing and Engineering. He holds an honors degree in Materials Technology and a PhD in 'The Metallurgy of Centreless Ground surfaces' from Coventry University. His research expertise encompasses surface metrology, nanomaterials, thin films, precision abrasive processes, forensic metrology for ballistics, and roll-to-roll manufacturing. Recent publications focus on surface analysis technologies, additive manufacturing quality control, and precision measurement techniques. Professor Blunt leads multiple research projects including the Future Advanced Metrology Hub and has held the prestigious Taylor Hobson Chair of Surface Metrology. He teaches Naval Architecture, Finite Element Analysis, and Advanced Materials, and leads the BEng/MEng Mechanical/Marine programmes.

Kemal Akkayaمشاهده پروفایل

استاد

• Network Security
• IoT & Cyber-physical System Security
• Key Management
• +۵ مورد دیگر

Dr. Kemal Akkaya is a Professor at the Department of Electrical & Computer Engineering, Florida International University (FIU), where he leads the Advanced Wireless and Security Lab (ADWISE). He holds a Ph.D. in Computer Science from the University of Maryland Baltimore County and has expertise in Network Security, IoT/CPS Security, Blockchain Applications, and 5G Security. His professional roles include serving as Research Director for FIU’s Emerging Preeminent Program in Cybersecurity and as Program Director for the first BS degree in IoT in the U.S. Education: Ph.D. in Computer Science, University of Maryland Baltimore County M.S. in Computer Engineering, Middle-East Technical University, Turkey B.S. in Computer Science, Bilkent University, Turkey Research Interests: Dr. Akkaya focuses on securing IoT and cyber-physical systems, blockchain for micro-payments, and network defense mechanisms. His work emphasizes privacy-aware protocols, secure key management, and SDN/NFV-based solutions. Awards: FIU Faculty Senate Excellence in Research Award (2020) College of Engineering and Computing Faculty Research Award (2020) Top Cited Article Award from Elsevier (2010) Advisees and Grants: While no student names are listed, his lab (ADWISE) likely supports graduate research in IoT and cybersecurity. His grants include interdisciplinary initiatives at FIU, focusing on securing emerging technologies like 5G and blockchain. Labs/Teams: Leads the ADWISE Lab, collaborating on projects like secure IoT payment systems, drone communication security, and resilient smart grid networks.

• Artificial Intelligence
• Data Science
• Data Mining
• +۷ مورد دیگر

ZHU Feida is an Associate Professor of Computer Science and Associate Dean for Partnerships and Engagement at Singapore Management University's School of Computing and Information Systems. He holds the Aptos Move Professorship and specializes in Artificial Intelligence, Data Science, and Blockchain Technology. His research spans federated learning, cybersecurity, cryptocurrency analysis, and privacy-preserving data systems. Education: PhD in Computer Science from the University of Illinois (2009). He teaches courses on Data Mining, Business Analytics, and Computer Analysis Tools. Research focuses on machine learning algorithms, blockchain-enhanced systems, and early detection of malicious activities in cryptocurrencies. Key areas include federated learning frameworks, decentralized data governance, and anomaly detection in large networks. Award: Aptos Move Professorship (Recipient). Advising: Supervises students including CHENG Ling, LIU Huiwen, and THIA Boon Sing. His work addresses challenges in data assetization, secure aggregation in federated systems, and interdisciplinary applications of AI. Labs/Teams: Engaged in collaborative projects on blockchain security and smart data analytics through initiatives like the International Workshop on Smart Data for Blockchain (SDBD).