Find Academic Supervisors

• Breast Cancer Radiotherapy
• Thoracic Radiotherapy
• Radiation Oncology
• +5 more

Christin A. Knowlton, MD, MA serves as Associate Professor of Therapeutic Radiology at Yale School of Medicine, where she holds dual leadership roles as Vice Chair for Accreditation in Therapeutic Radiology and Medical Director of Smilow Cancer Hospital Care Center-Hamden. Her clinical practice focuses on delivering high-quality, patient-centered radiation oncology services with specialization in breast cancer, lung cancer, bone metastases, and thymoma treatments. Dr. Knowlton's educational background includes a BA from Oberlin College (1994), MA from New York University (1998), MD from SUNY at Stonybrook (2006), and residency training at Hahnemann University Hospital/Drexel University College of Medicine (2011). Her research program centers on optimizing radiation therapy protocols, with particular emphasis on hypofractionation techniques, stereotactic body radiation therapy (SBRT), and management of radiation-related toxicities including pneumonitis and esophagitis. Analysis of her 15 most recent publications reveals a consistent research trajectory focused on improving outcomes in thoracic and breast radiation oncology through dose optimization, toxicity prediction modeling, and innovative treatment approaches for oligometastatic disease. Her work frequently addresses the balance between therapeutic efficacy and radiation-induced complications, with growing emphasis on molecular risk assessment and personalized treatment planning. Smilow Luminary Award of Excellence in Patient Care (2019) National Comprehensive Cancer Network (NCCN) Fellows Recognition Program As a clinician-educator, Dr. Knowlton emphasizes the importance of patient communication and multidisciplinary teamwork, collaborating closely with nursing, physics, dosimetry, and therapy staff to deliver comprehensive cancer care. Her leadership in accreditation reflects her commitment to maintaining the highest standards in radiation oncology practice and education. Dr. Knowlton's clinical trial involvement, including the DD3 trial of dose-deescalated SBRT for centrally located lung cancer, demonstrates her active contribution to advancing evidence-based radiation oncology practice.

Nadine HartmannView profile

Visiting Professor

• Feminist Philosophy of Difference
• Psychoanalysis
• Aesthetics
• +3 more

Prof. Dr. Nadine Hartmann serves as Visiting Professor for Future Philosophy and Scenarios in the Field of Art and Media Philosophy at the Karlsruhe Academy of Art and Design (Hochschule für Gestaltung Karlsruhe), a reform university founded in 1992 in collaboration with the ZKM | Center for Art and Media in Karlsruhe. Her position aligns with the institution's mission of connecting traditional arts with media technology and electronic production processes. Hartmann holds a doctorate in cultural studies with her thesis titled 'Thinking Like a Girl: Figuration, Fil(l)iation, and Sexual Difference' (forthcoming with Turia & Kant). Her academic journey includes significant appointments across German institutions, demonstrating her expertise in philosophical and theoretical approaches to art and media. Hartmann's research focuses on the intersection of psychoanalysis, aesthetics, and feminist philosophy of difference. Her work examines how gender, identity, and philosophical frameworks shape artistic production and media theory. She approaches philosophical questions through the lens of contemporary art practices, exploring how theoretical concepts manifest in creative processes and media technologies. Her research contributes to ongoing dialogues about sexual difference, figuration, and filiation within contemporary philosophical discourse. Throughout her career, Hartmann has maintained strong connections with Berlin's academic institutions, particularly the Berlin University of the Arts (UdK Berlin), while also contributing to philosophical discourse at other major German universities. Her teaching spans multiple disciplines within the arts and humanities, reflecting the interdisciplinary nature of contemporary media philosophy. Hartmann has been actively involved in research networks, including the DFG network 'Dispositiv der Menge' and the DFG network 'Other Knowledge' in artistic research and aesthetic theory, demonstrating her commitment to collaborative scholarly work at the intersection of art and philosophy. Her academic trajectory shows consistent engagement with theoretical frameworks that bridge artistic practice and philosophical inquiry, particularly through the lens of feminist thought and psychoanalytic theory. Hartmann's work contributes to expanding philosophical discourse within art education and practice-based research contexts.

• Hydrology
• River Engineering
• Flood Prediction
• +7 more

Patrick Willems is a full Professor at KU Leuven's Faculty of Engineering Sciences, Department of Civil Engineering. He serves as the head of the Hydraulics Subdivision within the Hydraulics and Geotechnics unit. Professor Willems holds multiple significant roles including chairman of the ADS Bureau, member of the Faculty Council of Engineering Sciences, and participant in the Leuven One Health Institute and KU Leuven Institute for Urban Studies (LUSI). His work addresses critical global water management challenges through advanced hydrological modeling and climate change adaptation strategies. Professor Willems' research spans several critical areas in water resources engineering. His primary expertise includes urban hydrology and river engineering, statistical hydrology with focus on flood prediction and risk analysis, integrated river basin management, precipitation analysis, and climate change impacts on hydrological extremes. He employs both traditional hydrological modeling approaches and innovative machine learning techniques to develop practical solutions for flood warning systems, urban water management, and climate adaptation planning. His research integrates statistical methods, numerical modeling, and data science to address complex water management problems across multiple geographical contexts. Professor Willems leads multiple major international research projects examining hydrological extremes in transboundary river basins, natural climate adaptation measures, hydrological modeling of peatland areas, and deep learning-based prediction of hydrological extremes. His work spans various geographical contexts including Belgium, Vietnam, Bolivia, Tanzania, and the Congo Basin, demonstrating both local relevance and global applicability of his research. Within KU Leuven, Professor Willems teaches diverse courses including Environmental Problems and Techniques, Statistics and Data Science, Stochastic Hydrology, Urban and River Hydrology and Hydraulics, River Modeling, and Probability and Statistics. He also leads the Hydraulic Engineering Project course and an Artificial Intelligence Project course, reflecting his commitment to integrating traditional engineering knowledge with modern computational approaches. As head of the Hydraulics Subdivision, he oversees research activities focused on developing advanced water engineering tools and methodologies that bridge theoretical advancements with practical applications for water management authorities.

M. Tolga AkçuraView profile

Professor

• Marketing Strategy
• Brand Valuation
• Consumer Behavior
• +7 more

Professor Tolga Akçura is a distinguished faculty member at Özyeğin University's Faculty of Business, Department of Business Administration. With over 25 years of academic experience, he has developed and taught courses on marketing strategy, marketing analytics, and marketing research at prestigious institutions including Carnegie Mellon University, Purdue University, and Long Island University. At Özyeğin University, he teaches Marketing Strategy, Integrated Marketing Communication Strategies, Innovation, Business Model Development, and Advanced Topics in Marketing for undergraduate, graduate, and executive students. Professor Akçura holds a B.Sc. in Industrial Engineering from Boğaziçi University (1990), an MA in Business Administration from Boğaziçi University (1996), an MBA from Carnegie Mellon University (1998), and a Ph.D. in Quantitative Marketing from Carnegie Mellon University (2000). Before joining academia, he worked for Procter & Gamble across multiple European locations including Brussels, London, Manchester, and Istanbul. His research focuses on the intersection of Information Technology and Marketing, Brand Valuation, Consumer Learning Behavior, Structural Choice Models, Brand Equity dynamics, and Competitive Pricing Strategies. Professor Akçura has made significant contributions to marketing science through his extensive publication record in top-tier journals. His recent scholarly work demonstrates a strong trend toward digital marketing, AI applications in marketing analytics, healthcare marketing, and the strategic implications of data-driven decision making. His publications span from foundational work on brand equity to cutting-edge research on patient-generated health data and deep learning applications in campaign participation prediction. William W. Cooper Award (awarded twice for publications in Management Science and Marketing Science) Professor Akçura has successfully bridged academic research with practical business applications through his role as founder of eBrandValue A.Ş. and as a Y-Combinator alum (YCW15). He is an active member of professional organizations including the Institute for Operations Research and Management Science, American Marketing Association, and Direct Marketing Institute. His industry experience complements his academic work, providing students with valuable real-world insights into marketing strategy and implementation.

• Tropical Medicine
• Travel Medicine
• Migrant Health
• +3 more

Sapha Barkati, MD, MSc is an Assistant Professor at the Department of Medicine, Faculty of Medicine and Health Sciences, McGill University , and an Investigator at the RI-MUHC Glen site . Her work bridges clinical practice and research in tropical medicine, focusing on parasitic diseases affecting vulnerable populations. Affiliations: Assistant Professor, McGill University Investigator, Research Institute of the McGill University Health Centre (RI-MUHC) McGill International Tuberculosis Centre Research Focus: Specializes in neglected tropical diseases like strongyloidiasis and tegumentary leishmaniasis, particularly among migrants and immunocompromised individuals. Studies include: Physician awareness of Strongyloides screening Prevalence patterns in non-endemic countries HTLV-1 co-infection treatment response Cost-effective screening strategies Scientific Contributions: Key publications address tropical disease management in non-endemic settings, mpox outbreak dynamics, and SARS-CoV-2 immunity patterns. Her work emphasizes evidence-based guidelines for: Parasite screening in transplant recipients Leishmaniasis treatment protocols Traveler disease prevention Collaborative Networks: Partners with institutions like Universidad Peruana Cayetano Heredia and participates in GeoSentinel surveillance. Leads studies on: Covid-19 health disparities Vaccine effectiveness against variants Remote patient monitoring systems

Melissa KoenigView profile

Professor

• Cognitive development
• culture
• cross-culture
• +7 more

Melissa Koenig serves as Professor and Director of Graduate Studies at the University of Minnesota's Institute of Child Development (ICD), where her research examines social and testimonial learning mechanisms in children through investigations of trust, cultural learning, memory, language, and cognitive development. As a first-generation college student, she prioritizes supporting students navigating academic systems through collaborative mentorship. Education PhD (2002), University of Texas at Austin Her research program spans cognitive development, cross-cultural studies, early childhood, language acquisition, theory of mind, and social-emotional development across peer, parent, and romantic contexts. The lab employs interdisciplinary, multi-method approaches with explicit cultural analysis to advance developmental science, particularly examining how children evaluate information sources and integrate testimony into moral frameworks. Analysis of her 2021-2024 publications reveals dominant themes in epistemic trust development, including how children assess informant credibility through moral behavior, group affiliation, and cultural context. Key trajectories show increasing sophistication in distinguishing epistemic versus practical reasoning, cross-cultural variations in trust attribution, and the developmental emergence of resistance to power-based corruption like bribery. Advising & Mentorship Accepts new PhD students for Fall 2026 cohort Requires prospective students to contact prior to December 1 application deadline Public advising statement details mutual expectations and support structures Specializes in guiding students through academic navigation and hidden curriculum challenges She directs the Early Language and Experience Lab, which maintains a collaborative research environment focused on uncovering constraints and supports for children's social learning across diverse contexts, with particular attention to cultural and socioeconomic variables in developmental processes.

Divya Jayakumar NairView profile

Senior Lecturer

• Transportation Engineering
• Disaster Management
• Network Design and Optimization
• +4 more

Dr. Divya Jayakumar Nair serves as Senior Lecturer in the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), where she also holds the position of Associate Dean International – South Asia for UNSW Engineering. Her academic work is centered at the Research Centre for Integrated Transport Innovation (rCITI), focusing on transportation systems, network optimization, and disaster management applications. Dr. Nair's research interests span transportation engineering, disaster management, and urban mobility systems. Her work investigates complex network design problems, particularly in pre-disaster evacuation planning, transportation resilience, and food rescue logistics. She employs advanced analytical methods including traffic equilibrium modeling, network optimization techniques, and data-driven approaches to solve real-world transportation challenges with significant societal impact. Her recent publications demonstrate a strong focus on transportation resilience during disasters, with particular attention to equity considerations in pre-event planning. Dr. Nair's research shows how transportation networks can be optimized to improve emergency response while ensuring equitable access to safety for all population segments. Her work bridges theoretical network optimization with practical applications in urban environments facing climate-related challenges. Dr. Nair collaborates extensively with leading researchers in transportation including S. Travis Waller, Vinay V. Dixit, David Rey, and Taha Rashidi. Her collaborative approach spans multiple institutions and addresses pressing challenges in urban transportation systems worldwide.

Golnoosh FarnadiView profile

Assistant Professor

• Algorithmic Fairness
• Privacy-preserving Machine Learning
• Responsible AI
• +5 more

Golnoosh Farnadi is an Assistant Professor at McGill University's School of Computer Science and an Adjunct Professor at the University of Montréal. She serves as a Visiting Faculty Researcher at Google, a Core Academic Member at MILA (Quebec Institute for Learning Algorithms), and holds a prestigious Canada CIFAR AI Chair. Farnadi co-directs McGill's Collaborative for AI & Society (McCAIS) and founded the EQUAL Lab (EQuity & EQuality Using AI and Learning algorithms), which focuses on advancing algorithmic fairness and responsible AI. Her educational background includes a Ph.D. in Computer Science from KU Leuven and Ghent University (2017), with postdoctoral research at the University of Montreal/MILA (2018-2020) and the University of California, Santa Cruz (2017-2018). During her doctoral studies, she was a visiting scholar at UCLA, University of Washington, Tsinghua University, and Microsoft Research. Dr. Farnadi's research centers on developing mathematical tools and algorithms for fairness-aware machine learning systems. Her work addresses bias and discrimination in AI decision-making across critical domains including healthcare, criminal justice, financial services, and social media. She has pioneered approaches to ensure fairness in deep learning models, particularly in sequential decision-making under uncertainty. Her research bridges theoretical foundations with practical applications, examining how AI systems can be designed to promote equity while maintaining performance. Analysis of her recent publications reveals a strong focus on practical implementations of fairness mechanisms across diverse AI applications. Her work spans technical domains from generative models and large language models to recommender systems and healthcare optimization. A unifying theme is the development of mathematically rigorous frameworks that balance performance with fairness considerations, with increasing attention to cultural diversity in multilingual AI systems and privacy-preserving fairness approaches. Google Scholar Award (2021) Facebook Research Award (2021) Rising Stars in AI Ethics (2021) Google Award for Inclusion Research (2023) WAI Responsible AI Leader of the Year Finalist (2023) 100 Brilliant Women in AI Ethics (2023) Canada CIFAR AI Chair Dr. Farnadi advises numerous doctoral and master's students across McGill University, University of Montréal, and MILA, with research focusing on fairness, privacy, and responsible AI. Her EQUAL Lab brings together researchers from computer science, social sciences, and policy domains to address systemic challenges in AI ethics. She has secured significant research funding from Google and other major organizations to support her work on fairness-aware AI systems, with applications spanning healthcare, social media safety, and public policy. The EQUAL Lab serves as a hub for interdisciplinary research on algorithmic fairness, bringing together computer scientists, social scientists, and policy experts. The lab's work spans theoretical foundations of fairness metrics, practical implementations in real-world systems, and policy recommendations for responsible AI deployment. Current projects include developing frameworks for fair kidney exchange programs, mitigating cultural stereotypes in multilingual language models, and creating privacy-preserving approaches for detecting online harms while protecting user data.

• Criminal Law
• Criminology
• Cybercrime
• +7 more

Dr. Steven Kemp is a Senior Lecturer in the Department of Public Law at the University of Girona, Spain. His research focuses on the intersection of criminal law, cybercrime, and criminological analysis, with affiliations to institutions like UNICRI, Open University of Catalonia, and the Institute of Public Security of Catalonia. His work spans digital security, fraud victimization, and sentencing disparities. Current roles: Serra Hunter Fellow, University of Girona (2023–present); Collaborating Teacher, UNICRI (2024–present) Previous roles: Associate Professor, University of Girona (2015–2021); Postdoctoral Researcher, Pompeu Fabra University (2021–2023) and University of Manchester (2021) His research interests include: Cybercrime dynamics during global crises (e.g., pandemic-related fraud trends) Victimization patterns in digital societies, particularly among older adults Legal implications of smart technologies and cybersecurity frameworks Comparative criminal justice systems, especially plea bargaining and sentencing disparities Key trends in his recent publications (2025–2019) highlight: Rising cyberfraud incidents and their societal impacts Interdisciplinary approaches to digital security and legal systems Statistical modeling of crime trends post-COVID-19 Behavioral responses to cybercrime risks Scientific recognition includes: Serra Hunter Fellow He actively collaborates with research groups like the Research Group in the Seminar of Criminal and Criminological Sciences and contributes to public policy initiatives in cybersecurity and fraud prevention.

• Satellite positioning
• Inertial navigation
• Integrated navigation systems
• +9 more

Jan Skaloud serves as an Adjunct Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC). He holds positions across multiple departments including SSIE (Institute of Earth Surface Dynamics), EDCE (Doctoral Program in Environmental Sciences and Engineering), and leads the Earth Sensing and Observation (ESO) Lab. His office is located at GC C2 397 in the EPFL campus in Lausanne, Switzerland. Dr. Skaloud's research expertise spans satellite positioning, inertial and integrated navigation systems, sensor orientation and calibration, attitude determination, mobile mapping, airborne laser scanning, and Kalman filtering techniques. His work bridges theoretical development with practical applications in UAV navigation, photogrammetry, and remote sensing. He teaches across three EPFL sections and two faculties, demonstrating his interdisciplinary approach to education. His publication record shows consistent contributions to the field, with recent work (2023-2025) focusing on vehicle dynamic model-based navigation for various UAV platforms, including delta-wing and fixed-wing drones. His research demonstrates a clear trajectory toward increasingly sophisticated navigation systems that integrate aerodynamic modeling with traditional sensor fusion approaches. This trend reflects the growing importance of model-based navigation in achieving higher precision and autonomy in UAV operations. 2021: Samuel Gamble Award for career contribution in photogrammetry & sensing (ISPRS) 2020: U.V. Helava Award for best paper in ISPRS Journal (2016-2019) 2017: Best Demo Award at IEEE International Workshop on Metrology & Aerospace 2014: Hansa Luftbild Award for best paper in PFG journal 2012: Karl Kraus Medal for best textbook in Photogrammetry 2009: GNSS Leader to Watch Innovation Award (GPS World) Dr. Skaloud has supervised numerous PhD students whose work focuses on advanced navigation systems, sensor calibration, and UAV applications. His research has received funding for projects involving direct georeferencing, mobile mapping systems, and UAV-based search and rescue operations. The ESO lab he directs serves as a hub for cutting-edge research in Earth observation technologies. The Earth Sensing and Observation Lab under Dr. Skaloud's direction brings together researchers working on navigation systems, sensor integration, and data processing techniques for geospatial applications. The lab maintains strong connections with industry partners and international research organizations, facilitating technology transfer and collaborative research projects.

Mathias FunkView profile

Associate Professor

• Design Theory
• Systems Design
• Data-Driven Design
• +5 more

Mathias Funk is an Associate Professor in the Industrial Design department at Eindhoven University of Technology (TU/e), leading the Things Ecology lab. His research focuses on designing with data and systems behavior, particularly in IoT and medical technology contexts. He co-founded UXsuite GmbH and developed the OOCSI communication framework. With a PhD in Electrical Engineering from TU/e (2011), Funk has held academic roles since 2013, including postdoctoral positions in Electrical Engineering and Industrial Design. He teaches courses like 'Data-enabled design' and supervises projects on AI, data foundry, and OOCSI applications. His work bridges engineering and design, addressing sustainability and human values through systemic design approaches. Education: PhD in Electrical Engineering, TU/e (2011) Computer Science background from RWTH Aachen Postdoc at TU/e's Electrical Engineering and Industrial Design departments Research Interests: Data-driven design methodologies, IoT systems, medical technology innovation, sustainable design practices, and interactive systems for musical expression. Recent work emphasizes telemonitoring efficacy in heart failure care and federated learning applications. Awards: Best Paper Award (2014) Honorable Mention (2021) Grants/Projects: Leading initiatives like MEDICAID (medtech solutions), ACACIA (interpretable AI), and Data-Driven Servitizing in Professional Printing. Active in clinical workflow prototyping and cardiovascular disease detection projects. Lab Activities: Manages the Things Ecology lab, focusing on systemic design challenges in smart ecosystems. Collaborates internationally through spin-offs and visiting lectureships.

Stefan BernritterView profile

Associate Professor

• Digital Marketing
• Social Media Marketing
• Mobile Marketing
• +4 more

Dr. Stefan Bernritter is an Associate Professor of Marketing at King’s Business School, University of London, and Director of the MSc in Digital Marketing. He holds a PhD in Marketing Communication from the University of Amsterdam. His research focuses on digital technologies, consumer-brand interactions, and advertising in evolving media landscapes. Key areas include mobile marketing, social media, gaming, and AI-driven advertising strategies. Previously, he served as Senior Lecturer at Goldsmiths, University of London, and Assistant Professor at the Amsterdam School of Communication Research. His work has been published in top journals like Journal of the Academy of Marketing Science and Journal of Interactive Marketing . He is an Associate Editor at the Journal of Interactive Marketing and holds editorial roles at leading advertising journals. Research interests emphasize consumer behavior in digital environments, including brand safety in multiplayer games, machine learning applications in marketing, and the impact of social media endorsements on self-evaluation. Awards include recognition from the European Advertising Academy and the International Communication Association. Bernritter actively contributes to academic discourse through editorial roles and guest editing. He currently supervises PhD students and teaches strategic marketing courses. His work aligns with UN Sustainable Development Goals related to responsible consumption and economic growth.

Mark van LoosdrechtView profile

Professor

• Environmental Biotechnology
• Microbial Ecology
• Wastewater Treatment
• +6 more

Mark van Loosdrecht is a Full Professor in Environmental Biotechnology at Delft University of Technology (TU Delft), leading the Mark van Loosdrecht Group within the Faculty of Applied Sciences. His research focuses on microbial ecology and innovative wastewater treatment technologies, including biofilm processes, nitrogen/phosphate conversion, and microbial polymer production. He is renowned for developing the Anammox and Nereda technologies, which revolutionize nutrient removal and sludge management in wastewater systems. **Awards & Recognition**: Van Loosdrecht has received prestigious awards such as the Spinoza Award (2014), Stockholm Water Prize (2018), and Lee Kuan Yew Prize (2012). He is a member of the Royal Netherlands Academy of Arts and Sciences and the Dutch and U.S. National Academies of Sciences. **Research Interests**: His work emphasizes sustainable water treatment, resource recovery, and microbial process engineering. Key topics include anaerobic digestion, aerobic granular sludge, and bioremediation strategies for industrial and municipal wastewater. **Publications & Impact**: Over 1,400 peer-reviewed publications and contributions to textbooks like Environmental Biotechnology: Principles and Applications . His research bridges fundamental science with practical applications, addressing global challenges in water management and environmental sustainability. **Affiliations**: He chairs the Environmental Biotechnology section at TU Delft and collaborates globally on projects like the ESDIT initiative, exploring ethics in disruptive technologies.

Yi RenView profile

Lecturer

• Modern China
• Chinese Communist Propaganda
• China in the First World War
• +3 more

Yi Ren is a Lecturer in the Department of History at the University of Pennsylvania's School of Arts & Sciences. His research focuses on modern Chinese history, particularly the dynamics of Chinese Communist propaganda in rural areas during the Mao era (1949–1978). He examines grassroots propagandists like opera actors, rural activists, and child propagandists, highlighting their roles in shaping rural socio-political landscapes. His work integrates archival materials and oral histories to challenge conventional narratives of state control. Education: M.A. in American History (Sino-American Relations), Peking University, 2014 B.A. in History, Sichuan University, 2011 Research Interests: Yi Ren’s work spans modern China, Chinese propaganda mechanisms, and global historical contexts like China’s involvement in WWI. He explores how grassroots agency and localized interactions influenced national policies, emphasizing the interplay between state institutions and rural populations. Publications & Trends: While his early work centered on historical analysis, recent articles (2019–2025) pivot to mental health stigma in China, focusing on caregivers, healthcare providers, and rural communities. Studies emphasize contact-based interventions and systemic challenges in addressing mental health disparities. Awards: None explicitly mentioned in the provided texts. Advising & Grants: No advising students or grants listed. His current project includes translating William H. McNeill’s The Global Condition for Peking University Press (expected 2022). Labs/Teams: No lab affiliations or team details provided.

Battista BiggioView profile

Professor

• Machine Learning Security
• Adversarial Machine Learning
• Cybersecurity
• +4 more

Battista Biggio is a Full Professor at the University of Cagliari, Italy, affiliated with the Department of Electrical and Electronic Engineering under the Faculty of Engineering and Architecture. His research focuses on machine learning security, adversarial attacks, and cybersecurity. He co-founded the cybersecurity firm Pluribus One and has pioneered foundational work in poisoning attacks and adversarial robustness. Education: MSc (2006), PhD (2010). He holds editorial roles as Associate Editor-in-Chief for Elsevier's Pattern Recognition Journal and serves on IEEE TNNLS and IEEE CIM editorial boards. His awards include the 2022 ICML Test of Time Award and the 2021 Pattern Recognition Medal. He chairs IAPR TC1 and organizes conferences like S+SSPR and AISec. Research interests span adversarial machine learning, malware detection, and secure AI systems. He leads initiatives such as the sAIfer Lab and co-develops the SecML-Torch library. Teaching includes courses on Machine Learning Security and Industrial Software Development. Notable contributions include seminal papers like 'Poisoning Attacks against Support Vector Machines' and 'Wild Patterns.' He manages over 10 research projects and advises on AI security for industrial applications. His work bridges academic research with practical cybersecurity solutions.