جست‌وجوی استاد و پژوهشگر

Nikolaus Kriegeskorteمشاهده پروفایل

استاد

• Computational Neuroscience
• Artificial Neural Networks
• Visual Perception
• +۳ مورد دیگر

Nikolaus Kriegeskorte is a Professor of Psychology and Neuroscience, and Director of Cognitive Imaging at the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University. He is affiliated with the Departments of Psychology, Neuroscience, and Electrical Engineering. Institution: Columbia University Academic Roles: Professor of Psychology and Neuroscience; Director of Cognitive Imaging Email: nk2765@columbia.edu Location: Jerome L. Greene Science Center, 3227 Broadway, L3-064 Research Focus: The lab explores the cognitive neuroscience of vision, modeling biological visual systems with artificial neural networks. Key areas include developing statistical inference and visualization techniques to bridge theory and experimental data, understanding representational geometry in neural systems, and optimizing deep learning frameworks for neuroscience. Recent Publications: Highlighted work spans neural network modeling of visual perception, representational similarity analysis, and the topology of brain representations. The lab's methods, such as the TorchLens Python package, enable transparent extraction and visualization of hidden layer activations in neural networks. Grants: Projects are supported by funding from the National Science Foundation (NSF) - Cognitive Neuroscience and the National Institutes of Health (NIH) - NIMH. Laboratory: The Visual Inference Lab (kriegeskortelab.zuckermaninstitute.columbia.edu) is located at Quad 3D, Zuckerman Institute, 3227 Broadway.

Maxwell Youngمشاهده پروفایل

دانشیار

• Distributed Computing
• Computer Security
• Algorithms
• +۳ مورد دیگر

Maxwell Young is an Associate Professor in the Department of Computer Science and Engineering at Mississippi State University's College of Engineering. His office is located in 312 Butler Hall and he can be reached at myoung@cse.msstate.edu. Previously, he served as an Assistant Professor at Drexel University in Philadelphia, following postdoctoral positions at the University of Michigan (working with Seth Pettie) and the National University of Singapore (working with Seth Gilbert). Young earned his PhD from the University of Waterloo, Canada, under the supervision of Raouf Boutaba and Martin Karsten, his MS from the University of New Mexico under Jared Saia, and his BS in mathematics from Queen's University, Canada. His research focuses on the design and analysis of algorithms for decentralized networks that yield provable guarantees with respect to security, fault tolerance, and performance. His primary research areas include distributed computing, computer security, and theoretical algorithms, with specific emphasis on contention resolution protocols, Sybil attack defenses, and resource-competitive approaches to network security. His work bridges theoretical computer science with practical applications in wireless networks and distributed systems. Analysis of his recent publications reveals a consistent trajectory focused on making distributed systems more resilient against adversarial attacks while optimizing resource usage. His research demonstrates sophisticated application of probabilistic analysis and algorithmic game theory to security challenges, with particular innovation in creating asymmetric defenses where attackers must expend disproportionate resources compared to legitimate users. Best Paper Award at SIROCCO 2025 for 'Bankrupting DoS Attackers' Best Paper Award at SSS 2024 for 'Softening the Impact of Collisions in Contention Resolution' Best Paper Award at ICDCN 2024 for 'Defending Hash Tables from Subterfuge with Depth Charge' Young has received significant research funding through grants including 'Collaborative Research: SaTC: CORE: Small: Bankrupting Attackers in Dynamic Networks' and 'CAREER: Make Them Pay! Algorithms for Securing Wireless Systems.' His work on resource-competitive algorithms provides theoretical foundations for designing systems where adversaries must spend significantly more resources than legitimate users to mount successful attacks. His research group appears to focus on distributed algorithms and network security, with particular attention to practical implementations of theoretically sound approaches. Young has collaborated extensively with researchers including Jared Saia, Seth Gilbert, and Diksha Gupta on security-related algorithmic challenges.

Steven Neil Evansمشاهده پروفایل

استاد

• Stochastic processes
• Probability on algebraic structures
• Random matrices
• +۱۲ مورد دیگر

Steven Neil Evans is a Professor in the Departments of Statistics and Mathematics at the University of California, Berkeley, with a joint appointment since 1999. His research spans stochastic processes, probability on algebraic structures, and applications in population biology, phylogenetics, and computational biology. BSc (Hons I & University Medal) in Statistics, University of Sydney (1983) PhD in Mathematics, University of Cambridge (1987) Research Interests: Evans works on random matrices, Lévy processes, measure-valued stochastic processes, coalescent models in biology and chemistry, phylogenetics (including invariants), biodemography, mutation-selection balance, and stochastic models in population genetics. His recent work connects probability theory with computational biology, focusing on metagenomics and transcriptional regulation. He also explores computational algebra in modeling biological systems. Articles Trends: His publications reveal a trajectory from foundational work in stochastic processes and Lévy processes to interdisciplinary applications in phylogenetics, population genetics, and computational biology. Key subfields include mutation-selection models, random tree structures, stochastic differential equations, and algebraic probability. Recent work addresses phylogenetic networks and Frechet mean sets in metric spaces. Scientific Awards: Rollo Davidson Prize (1990) Presidential Young Investigator Award (1991) Alfred P. Sloan Foundation Fellowship (1993) G. de B. Robinson Prize (1997) Miller Research Professor (2002) Fellow, American Mathematical Society (2012) Member, National Academy of Sciences (2016) Advising and Grants: Evans has advised over 30 PhD/Master's students since 1993. He has received continuous NSF grants (1988-2019), NIH funding (2016-2018), and international fellowships. His academic service includes editorial roles at major journals and organizing conferences in probability and mathematical biology.

• Critical Care Medicine
• Intensive Care
• Patient Deterioration Monitoring
• +۶ مورد دیگر

Professor Peter Watkinson serves as Professor of Intensive Care Medicine at the University of Oxford and is an NHS consultant in intensive care at the Oxford University Hospitals NHS Foundation Trust. He leads the Critical Care Research Group based at the Kadoorie Centre for Critical Care Research & Education at the John Radcliffe Hospital, Oxford. His work bridges clinical practice with academic research in the field of critical care medicine through the Nuffield Department of Clinical Neurosciences. Professor Watkinson's research primarily focuses on the identification of deteriorating patients in hospital settings. His work encompasses: Design and implementation of studies on wearable monitoring devices Exploration of non-contact monitoring technologies Analysis of standard electronically-recorded patient descriptors Pattern recognition in vital signs data to predict clinical deterioration Development of electronic monitoring systems Application of human factors techniques for technology integration in healthcare Assessment of long-term effects of critical illnesses on patient quality of life The Critical Care Research Group maintains a strong collaborative link with the University of Oxford Institute of Biomedical Engineering. Using data collected from thousands of patients' vital signs both in Oxford and elsewhere, the multi-disciplinary team investigates patterns that precede and predict clinical deterioration in hospitalized patients. Recent publications indicate a strong focus on early warning scores, patient monitoring technologies, and the application of machine learning approaches to critical care data. Professor Watkinson's research output demonstrates consistent productivity with numerous 2024-2025 publications spanning systematic reviews of early warning systems, development of novel monitoring technologies, and analytical approaches to predicting patient deterioration. His work frequently employs rigorous methodology including systematic reviews, meta-analyses, and innovative study designs to address critical questions in intensive care medicine. As leader of the Critical Care Research Group, Professor Watkinson oversees a multi-disciplinary team investigating vital sign patterns and developing predictive algorithms that have direct clinical applications. The group's research has significant implications for improving patient safety through earlier recognition of clinical deterioration and more effective resource allocation in hospital settings.

James D. Herbslebمشاهده پروفایل

استاد

• Software Engineering
• Computer-Supported Cooperative Work (CSCW)
• Socio-Technical Systems
• +۷ مورد دیگر

James D. Herbsleb is a Professor at Carnegie Mellon University in the Software and Societal Systems Department under the School of Computer Science . He served as Department Head from 2019-2024 and holds a PhD in Psychology and an MS in Computer Science. Education PhD in Psychology MS in Computer Science Research interests focus on the intersection of software engineering , computer-supported cooperative work , and socio-technical systems . Key areas include global software teams, open source ecosystems, and the limits of modularity in complex projects. His work explores decision networks , interface translucence , and scientific software sharing through NSF-funded initiatives. Recent publications examine API management in ecosystems like Eclipse and Node.js, coordination theory in distributed teams, and transparency in open source practices. Awards include the ACM Outstanding Research Award (2016) and Alan Newell Award (2014) . Scientific Awards ACM Outstanding Research Award (2016) Alan Newell Award for Research Excellence (2014) Most Influential Paper Award (ICSE 2010) Best Paper Award (Academy of Management 2010) Best Paper Award (CSCW 2006) Students advised include Patrick Wagstrom (COS PhD), Anita Sarma (postdoc), Uri Dekel (SE PhD), and current PhD candidates like Ben Towne. Research is supported by NSF, Sloan Foundation, and industry partners including Google and IBM.

• Sleep Medicine
• Circadian Rhythms
• Adolescent Sleep Patterns
• +۵ مورد دیگر

Mary A. Carskadon is Professor of Psychiatry and Human Behavior at Brown University's Warren Alpert Medical School and Director of the EP Bradley Hospital COBRE Center for Sleep and Circadian Rhythms in Child and Adolescent Mental Health. Her distinguished career spans over five decades with foundational contributions to sleep science. Her educational background includes a BA in psychology from Gettysburg College (1969) and a doctorate with distinction in neuro- and biobehavioral sciences from Stanford University (1979), earned under William C. Dement. She is a distinguished alumna of Gettysburg College and holds an honorary doctor of sciences degree from that institution. Carskadon's research focuses on circadian timing systems and sleep/wake patterns in children, adolescents, and young adults. Her work on school start times has significantly influenced public health policy, prompting organizations like the American Academy of Pediatrics and CDC to advocate for later school schedules. She developed the multiple sleep latency test (MSLT) with Dr. Dement, which remains a global standard for assessing sleep disorders. Current research examines sleep-health disparities in urban children with asthma, sleep patterns in suicide risk populations, and the impact of sleep restriction on adolescent performance. Her extensive publication record shows consistent focus on adolescent sleep physiology, circadian rhythms, and public health implications. Recent work explores connections between sleep timing, mental health, and academic performance, particularly during the COVID-19 pandemic, while maintaining her foundational work on sleep measurement methodologies. Lifetime Achievement Award of the National Sleep Foundation Distinguished Scientist and Outstanding Educator Awards of the Sleep Research Society (the latter now presented in her name) 2023 Brown University Distinguished Research Achievement Award William C. Dement Academic Achievement Award (2023) V. Sagar Sethi, M.D., Mental Health Research Award Leadership in Sleep Medicine Award from American Academy of Physicians of Indian Origin-Sleep Elected Fellow of the Association for Psychological Science Elected Fellow of the American Association for the Advancement of Science Carskadon directs the NIH/NIGMS-funded Bradley Hospital COBRE Center, mentoring junior researchers in pediatric sleep and circadian rhythms. She serves as inaugural editor-in-chief of SLEEP Advances and has secured multiple NIH grants including R01 HL142058 examining ethnic differences in children's sleep patterns with asthma, P20 GM139743 for the COBRE center, and R01 HD103665 investigating sleep restriction effects using neuroimaging. Her work bridges laboratory research with real-world applications, particularly in school policy reform and health equity initiatives. She leads multiple research teams including the CLASS Study (Circadian Light in Adolescence, Sleep and School), projects on sleep disruption in urban children with asthma, and studies examining sleep's role in opioid use disorder treatment. Her laboratory continues to innovate in sleep measurement techniques while maintaining longitudinal studies on adolescent sleep patterns across developmental stages.

• Sociology of Religion
• Gender Studies
• Political Sociology
• +۵ مورد دیگر

Dr. Katie Gaddini serves as Associate Professor in Sociology at University College London's Social Research Institute, where she leads research within the Thomas Coram Research Unit (TCRU). She maintains dual affiliations as Affiliate Researcher with UCL's Sarah Parker Remond Centre and Research Associate at the University of Johannesburg's Department of Sociology. Currently (2022-2026), she holds a prestigious UK Research and Innovation fellowship hosted jointly by UCL and Stanford University, investigating Christian women's engagement with conservative politics in the United States. Her academic foundation includes master's degrees from Boston College and the London School of Economics, culminating in a PhD in Sociology from the University of Cambridge. Her ethnographic expertise spans five years of immersive fieldwork with single evangelical women, documented in her critically acclaimed book The Struggle to Stay: Why Single Evangelical Women are Leaving the Church (2022). Gaddini's research program centers on the sociology of religion through four interconnected lenses: (1) Lived religion approaches to evangelical Christianity; (2) Intersectional analysis of race, class, and gender within religious belonging; (3) Comparative studies of Christianity and politics across the Americas; and (4) Identity theory examining the co-constitution of racial-religious-national identities. Her methodological preference for ethnography extends to previous work on gendered violence in Mumbai and Johannesburg. Her scholarly output reveals consistent thematic evolution toward analyzing Christian nationalism's digital transformation, gendered religious experiences during political upheavals (Brexit/Trump), and the crisis of evangelical identity in contemporary Western societies. The publications demonstrate methodological rigor in ethnographic data collection coupled with sophisticated theoretical engagement across sociology, gender studies, and political science. Awards: Betty Scharf Award for Research on Gender & Religion (London School of Economics) British Higher Education Academy Fellowship Gaddini's current UKRI-funded fellowship represents significant grant acquisition, focusing on longitudinal analysis of American Christian women's political engagement. While her mentorship activities aren't explicitly detailed, her position at TCRU suggests involvement in guiding doctoral candidates within UCL's graduate programs. Her research infrastructure includes collaborations through the Politics of Religion study (2020-2022), producing influential infographics and digital resources that bridge academic research and public discourse. She operates within UCL's Social Research Institute ecosystem, particularly through the Thomas Coram Research Unit's interdisciplinary framework and the Sarah Parker Remond Centre's focus on race and equality. Her Johannesburg affiliation indicates ongoing transnational research partnerships, while her active Twitter presence (@katiegaddini) demonstrates commitment to public scholarship and academic communication.

Angela Boatmanمشاهده پروفایل

دانشیار

• Higher education policy
• college access and student success
• remedial and developmental education
• +۵ مورد دیگر

Angela Boatman is an Associate Professor in the Department of Educational Leadership & Higher Education at Boston College specializing in higher education policy evaluation, with emphasis on improving access and success for underrepresented student populations through evidence-based interventions. Her educational credentials include: Ed.D. in Higher Education from Harvard University M.P.P. and M.A. in Higher Education from the University of Michigan B.A. from the University of Minnesota Dr. Boatman's research program systematically examines college access barriers and success pathways, focusing on remedial education reform (particularly mathematics), financial aid design, community college transfer policies, and behavioral interventions to reduce loan aversion. She employs rigorous quasi-experimental and experimental methodologies to evaluate policy impacts on student outcomes, with particular attention to equity implications for traditionally marginalized groups. Her work bridges academic research and practical policy implementation through sustained engagement with federal and state education agencies. Analysis of her recent publications (2019-2025) reveals consistent thematic focus on remediation models (corequisite vs. traditional, high school vs. college timing), behavioral economics applications in financial aid, and cross-institutional transfer policies. Her research spans diverse contexts including U.S. community colleges, technical institutions in Chile, and rural-serving universities, demonstrating methodological versatility through large-scale administrative data analysis, randomized trials, and comparative international studies. Dr. Boatman has secured substantial external research funding from the Institute for Education Sciences, Bill & Melinda Gates Foundation, Lumina Foundation, and Peabody College. She actively contributes to national discourse as a faculty affiliate of the Center for the Analysis of Postsecondary Readiness (CAPR) and the Center for Education Policy Research (CEPR) at Harvard University, frequently presenting findings to policymakers and practitioners through congressional briefings, Federal Reserve conferences, and national education forums.

Daniel Catchpooleمشاهده پروفایل

استاد

• Childhood Cancer Research
• Genomics
• Biomedical Data Science
• +۶ مورد دیگر

Professor Daniel Catchpoole serves as Deputy Head of School (Research) at the School of Computer Science, University of Technology Sydney (UTS), holding dual appointments at UTS and The Children's Hospital at Westmead. With over 20 years of research experience, he bridges computational sciences and pediatric cancer research through the Biomedical Data Science Lab in the Australian Artificial Intelligence Institute. His work integrates data analytics, artificial intelligence, and software development with molecular cancer biology to transform pediatric cancer treatment pathways. PhD in Cancer Cell Biology, University of New South Wales (1991-1995) Founding Fellow, Royal College of Pathologists Australasia (2010-present) Head, Children's Hospital at Westmead Tumour Bank (2001-present) Professor Catchpoole's research focuses on translational applications of genomics in childhood cancers, particularly acute lymphoblastic leukemia and neuroblastoma. His work combines high-throughput genomic technologies with advanced computational analysis to develop systems biology approaches for cancer patient assessment. Recent projects explore virtual reality applications for complex genomic data visualization and copper chelation therapies to enhance neuroblastoma immunotherapy. His research has received significant funding from Cancer Institute NSW, Sony Foundation, ARC, and NHMRC. His publication record spans biomedical data science, cancer genomics, and virtual reality applications in oncology. Recent work demonstrates leadership in 3D latent diffusion models for tumor segmentation, biobank economics, and innovative immunotherapies. His research consistently addresses the critical need for actionable knowledge from complex multidimensional biomedical data. Editorial Board Member, Cancers (2023) Associate Editor, Innovations in Digital Health, Diagnostics and Biomarkers (2019) Founding member and first President, Australasian Biospecimens Network Association Professor Catchpoole has supervised 17 Honours students (including 6 First Class Honours), 3 MSc students, and 12 PhD candidates across multiple institutions, with 6 current PhD students. His collaborative research bridges UTS's Faculty of Engineering and IT with The Children's Cancer Research Unit at The Children's Hospital at Westmead. Significant research funding includes Cancer Institute NSW grants, Sony Foundation VR projects, and ARC Discovery Projects focused on genomic data analysis and clinical decision support systems. His leadership extends to building frameworks for translational research, managing biobanks and clinical data linkages, and navigating governance requirements for cancer research. The Tumour Bank at Kids Research, CCRU, represents his long-standing commitment to pediatric cancer infrastructure development.

Krishnan Bhaskaranمشاهده پروفایل

استاد

• Cancer epidemiology
• Statistical epidemiology
• Pharmacoepidemiology
• +۵ مورد دیگر

Krishnan Bhaskaran is a Professor of Statistical Epidemiology at the London School of Hygiene & Tropical Medicine (LSHTM) , affiliated with the Faculty of Epidemiology and Population Health and the Department of Non-communicable Disease Epidemiology . He leads the Beyond Cancer research group , supported by a Wellcome Senior Research Fellowship . He co-founded the OpenSAFELY platform for real-time pandemic data analysis. Education: Background in Mathematics and Medical Statistics Research Interests: Cancer survivorship, cardiovascular and mental health outcomes in cancer survivors, pharmacoepidemiology of drug interactions, and methodological advancements in electronic health records analysis Publication Trends: His recent work focuses on long-term health consequences of cancer and its treatments, drug interactions in cardiovascular therapies, and the impact of chronic conditions on cancer risk. Many studies utilize large UK datasets and the OpenSAFELY platform. Scientific Awards: Wellcome Senior Research Fellowship Grants & Leadership: He has secured major funding from Cancer Research UK , British Heart Foundation , and Wellcome Trust to investigate cardiovascular risks post-cancer, health inequalities in endocrine therapy adherence, and drug safety in anticoagulant use.

Reda Mastouriمشاهده پروفایل

استاد مدعو

• Artificial Intelligence
• Cybersecurity
• Data Science
• +۳ مورد دیگر

Reda Mastouri is an Adjunct Professor in the Department of Data Sciences within the College of Computer and Information Sciences at Saint Peter’s University. He combines academic roles with 12 years of industry experience as a Lead Cyber Security Engineer and Product Consultant, collaborating with Fortune 200 and 500 companies. His teaching includes courses such as DS-520 Data Analysis, DS-530 Big Data, and CS-332 Advanced Computing. Ph.D., AI & Data Sciences, Saint Peter’s University M.Eng., Telecommunication and Network Engineering, ENSA-M Cadi Ayyad University M.S., Data Sciences, Saint Peter’s University B.S., Computer Sciences, New Jersey Institute of Technology B.A., Applied Mathematics, Rutgers University His scholarly work focuses on AI-driven algorithms for truth demystification and cluster computing applications in high-fidelity image/video forgery detection within cybersecurity. Additional expertise spans DevSecOps, enterprise architecture, and software economics, with a dedication to innovation in business strategy and technology integration. Dr. Mastouri’s research trends emphasize heterogeneous ad hoc networks, collaborative honeypot architectures, and blockchain-based security models for IoT. His work addresses distributed attack detection, false positive/negative reduction, and protocol optimization, aligning with his specialization in cybersecurity and artificial intelligence. Certified Splunk Super User Palo Alto Networks Certified Cybersecurity Associate (PCCSA) CyberArk Certified Trustee Certified Scrum Professional SFPC Certified 10-Hr OSHA Training for the Construction Industry Certified Project Management Essentials Certified (PMEC)™ Lean Six Sigma Yellow Belt (ICYB) CPR & AED Certified AWS Certified Developer Associate Scrum Foundation Professional Certificate NSE 1 Network Security Associate NSE2 Fortinet's Network Security Expert

• Machine Learning
• Graph Neural Networks
• Bioinformatics
• +۳ مورد دیگر

Tamara Drucks is a PreDoc Researcher at the Department of Machine Learning, Technische Universität Wien. She specializes in machine learning, with a focus on graph neural networks, bioinformatics, and optimization algorithms. Drucks teaches courses including 'Introduction to Machine Learning' and 'Theoretical Foundations and Research Topics in Machine Learning.' Her research explores expressive power of graph networks and applications in phylogenetic modeling. Key projects include the StruDL initiative (2023–2027) focusing on maximally expressive GNNs for outerplanar graphs. She has advised one PhD student, Martin Plattner, on optimization techniques in machine learning. Publications span theoretical advancements in GNNs and practical applications in computational biology. Drucks holds a Diploma in Technical Mathematics from TU Wien (2021) and is involved in interdisciplinary research at the intersection of AI and biological data analysis.

Michael Qizhe Shiehمشاهده پروفایل

استادیار

• Large Language Models
• Deep Learning
• Natural Language Processing
• +۴ مورد دیگر

Michael Qizhe Shieh is an Assistant Professor in the Department of Computer Science at the National University of Singapore (NUS), affiliated with the Tree and Rock AI Lab (TRAIL). He holds a PhD and Master's from Carnegie Mellon University (Machine Learning and Language Technologies) and a Bachelor's from Shanghai Jiao Tong University's ACM Class. His research focuses on Large Language Models, Deep Learning, and Natural Language Processing, with notable contributions to semi-supervised learning techniques like Noisy Student and UDA, and the RACE benchmark for reading comprehension. Education: PhD in Machine Learning, Carnegie Mellon University (2020) Master's in Language Technologies, Carnegie Mellon University (2018) Bachelor's in Computer Science, Shanghai Jiao Tong University (2016) His research explores robustness, safety, and scalability of AI systems. He has served as Area Chair for top conferences like NeurIPS, ICML, and ICLR. Current research directions include adversarial robustness, LLM self-evaluation, and alignment mechanisms. His lab, TRAIL, emphasizes foundational AI research. Selected contributions include: Developing UDA and Noisy Student techniques for semi-supervised learning Creating the RACE benchmark for exam-based reading comprehension Advancing methods for LLM safety and adversarial defense Prospective students are encouraged to apply to NUS's PhD program for collaborative research opportunities.

Pinon Hermida Victorمشاهده پروفایل

پژوهشگر

• Laser-Induced Breakdown Spectroscopy (LIBS)
• Optical Engineering
• Materials Analysis
• +۳ مورد دیگر

Dr. Pinon Hermida Victor is a Researcher at the Institute of Electronic Structure and Laser (IESL) under the Foundation for Research and Technology – Hellas (FORTH). He holds a PhD in Physics from the University of A Coruña (2011) and has conducted extensive research on Laser-Induced Breakdown Spectroscopy (LIBS), focusing on femtosecond lasers, double-pulse configurations, and applications in material analysis, archaeology, and environmental science. His career includes roles at Applied Photonics Ltd (UK) as Senior Applications Scientist (2014-2020) and postdoctoral fellowships at FORTH-IESL through the Marie Curie ATLAS program (2006-2008). Research interests span LIBS methodology development, optical fiber systems for high-power lasers, and software for spectral analysis. Notable contributions include portable LIBS instrument design and radiation-resistant optical components for nuclear facilities. Awards include the 2008 LIBS Contest and the 2011 Premio Extraordinario de Doctorado. Recent work focuses on applying LIBS to archaeological mollusc shell analysis for climate and environmental studies. He collaborates internationally on LIBS quantification challenges and instrument durability in harsh environments. Education: PhD in Physics (2011), University of A Coruña; Diploma in Physics (2001), University of Santiago de Compostela Key Roles: Senior Applications Scientist (Applied Photonics), Marie Curie Fellow (FORTH-IESL), Researcher (Laboratory of Industrial Applications of Lasers) Lab Affiliations: IESL-FORTH and University of A Coruña laser labs

• Software Engineering
• Software Security
• Artificial Intelligence

Mike Papadakis is an Associate Professor at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), where he leads the SerVal research group. His research focuses on software engineering, software security, and artificial intelligence. He holds a PhD in Software Testing and Verification from Athens University of Economics and Business, with an MSc and BSc from the same institution. His research explores mutation testing, machine learning applications in software development, and test optimization. Recent publications demonstrate a strong emphasis on AI robustness, flaky test analysis, and automated debugging techniques. Notable achievements include the IEEE TCSE Rising Star Award (2020) and 12 additional research awards. He has published over 100 peer-reviewed articles and delivered more than 30 invited talks globally.