Sugata Banerji is an Associate Professor of Computer Science at Lake Forest College and Director of the Applied Data Center. His research focuses on computer vision, scene understanding, and machine learning, with applications in medical imaging and image retrieval. He holds a PhD in Computer Science from New Jersey Institute of Technology (2013) and a Postdoctoral fellowship in Computer Vision at George Mason University (2013–present). His educational background also includes a BE in Information Technology from West Bengal University of Technology. Research Interests include image processing, pattern recognition, and novel descriptors for object and scene classification. His work spans deep learning for medical diagnostics, efficient feature extraction methods like EFM-HOG, and geo-localization of buildings using computer vision. He has received the Department of Computer Science Travel Award (2012) and served as a Teaching Assistant (2008–2013). Key contributions include advancements in HOG descriptor variants (e.g., HaarHOG), color-based feature integration, and solar energy growth modeling. He teaches courses such as Roadmap to Computing with Python and Introduction to Computer Science, emphasizing practical programming and graphics problem-solving.
Katie Hogan is a Professor of English at the University of North Carolina at Charlotte (UNC Charlotte), where she has served as Director of the Women’s and Gender Studies Program since 2014. Prior to this, she was Director of Women’s Studies at Carlow University (2003–2014) and taught at LaGuardia Community College (1997–2003). Her work bridges literary criticism, queer theory, and environmental justice, focusing on intersections of gender, place, and ecological ethics. Dr. Hogan holds a Ph.D. in English from Rutgers University (New Brunswick, NJ), an M.A. from Northeastern University (Boston, MA), and a B.B.A. from Western Connecticut State University (Danbury, CT). Her research explores queer ecologies, feminist pedagogy, and critical university studies, with a focus on how marginalized communities navigate environmental crises and institutional inequities. Her scholarly contributions include books like Over Ten Million Served: Gendered Service in Language and Literature Workplaces (2010) and Women Take Care: Gender, Race, and the Culture of AIDS (2001), alongside articles analyzing works by Alison Bechdel, Tony Kushner, and Carter Sickels. Recent work emphasizes decolonizing rural spaces and queer dystopian narratives. Professional Service: Elected to MLA’s Delegate Assembly (2007–2009), member of MLA’s Committee on the Status of Women (2003–2006), and founder of a collaborative academic writing group (2006–present). Teaching: Courses include Global Women Writers , Transfeminisms , and Feminist Theories at both undergraduate and graduate levels. Grants: Not explicitly listed, though her administrative roles suggest institutional support for WGST initiatives. Her work critiques neoliberal pressures in academia, advocating for equitable labor practices and feminist institutional frameworks. She has presented widely on topics like queer disaster narratives and academic labor, engaging interdisciplinary audiences through conferences like MLA and NWSA.
Jabed Tomal is an Associate Professor in Statistics and Data Science at Thompson Rivers University (TRU), Canada. Previously, he held positions as an Assistant Professor at TRU (2018–2023) and the University of Toronto Scarborough (2014–2018), and a Postdoctoral Fellow at the University of British Columbia (2014). He earned a Ph.D. in Statistics (2013) from UBC, specializing in statistical machine learning, and dual M.Sc. degrees in Statistics (University of Windsor, 2007) and Biostatistics (University of Dhaka, Bangladesh). His research focuses on ensemble methods, Bayesian inference, and statistical ecology, with applications in drug discovery, protein homology, and environmental modeling. Key research interests include developing ensemble models for high-dimensional data, Bayesian methods for breakpoints detection in housing markets and ecological systems, and statistical approaches in healthcare. Notable contributions include work on QSAR studies, Bayesian hierarchical modeling of pandemic impacts, and ecological threshold detection. Tomal has secured grants such as the NSERC Discovery Grant ($102,500) and TRU internal funds for projects in big data and environmental thresholds. He has advised numerous graduate and undergraduate students on topics ranging from machine learning in healthcare to single-cell RNA sequencing analysis. His teaching spans courses like Bayesian Machine Learning, Multivariate Statistics, and Theoretical Machine Learning at the graduate level, alongside foundational statistics and calculus courses at TRU and the University of Dhaka. Administrative roles include Chair of the Award and Scholarship Committee for TRU’s Master of Data Science program and membership in Senate Research Committee. Education: Ph.D., Statistics (2013), UBC Vancouver M.Sc., Statistics (2007), University of Windsor M.Sc., Biostatistics (2005), University of Dhaka Awards: NSERC Discovery Grant (2021–2026) Research Training Recognition Fund (TRU,多次) SSC 2013 Talk Honourable Mention Labs/Teams: Active in interdisciplinary projects at TRU’s Department of Mathematics and Statistics, focusing on data science applications in ecology, healthcare, and genetics.
Morana Lukac is an Assistant Professor in European Languages and Cultures at the University of Groningen's Center for Language and Cognition. She holds a PhD from Leiden University (2018) and previously worked as a lecturer and research fellow at Leiden University (2012–2020), followed by roles at institutions in Rostock and Greifswald (Germany, 2020–2023). Her research focuses on sociolinguistic aspects of language variation, including linguistic prescriptivism, non-binary pronouns, mental health discourse, and grassroots prescriptivism—a concept she co-introduced. She co-edited the landmark Routledge Handbook of Linguistic Prescriptivism (2023) and leads studies on trauma narratives and gender-fair language. Lukac is the Reviews Editor of Tijdschrift voor Genderstudies and Treasurer of the University of Groningen's Centre for Gender Studies. She co-hosts the podcast Language Law and Order , exploring language norms and societal impacts. Her work bridges academic linguistics with public discourse, emphasizing interdisciplinary approaches to language ideologies. Education: PhD in Linguistics from Leiden University (2018), prior academic roles include membership in the Leiden University Centre for Linguistics (2012–2020) and research fellowships in Germany (2020–2023). Research interests span sociolinguistics, with a focus on language signaling group identity, social inequality, and mental health. She examines prescriptivism through both traditional and digital media, including forums, blogs, and podcasts. Recent work includes corpus-based analysis of trauma narratives and linguistic strategies for inclusive pronouns. Her projects often address global linguistic diversity, expanding prescriptivism research beyond Western contexts. Professional roles include program committee membership for the European Languages and Cultures BA program and editorial contributions to linguistic journals. Her interdisciplinary approach integrates corpus linguistics, discourse analysis, and social theory to address evolving language norms and their societal implications. Labs/Teams: Active in the Center for Gender Studies, focusing on gender and intersectionality in language research. Collaborates with linguists and sociologists on projects like the NWO-funded Bridging the Unbridgeable initiative, which explored communication between linguists, prescriptivists, and the public.
Dr. Julia Holl is an Acting Professor for Clinical Psychology and Psychotherapy at the University of Mannheim's School of Social Sciences, affiliated with the Department of Clinical Psychology and Psychotherapy. She currently holds a deputy professorship for the 2024/25 academic year and teaches in the fall/winter semester. Her office is located at A5, 6 – Room B – 202 in Mannheim, and she can be reached via email at julia.holl@uni-mannheim.de . Her research interests span clinical psychology and psychotherapy, with a particular focus on decision-making processes under uncertainty, self-compassion, and the evaluation of vulnerability in therapeutic contexts. She also conducts medical research in hepatology, oncology, and endoscopy safety, addressing topics like liver transplantation outcomes, colorectal cancer survival rates, and propofol sedation risks in outpatient settings. Her recent publications (2012–2022) demonstrate interdisciplinary work at the intersection of psychology and medicine. Key themes include cognitive heuristics in clinical judgment, nutritional interventions for liver disease, and the psychosocial dimensions of vulnerability disclosure in therapy. Her medical research emphasizes patient safety in endoscopy procedures and epidemiological studies on cancer survival. No scientific awards or funded grants are explicitly mentioned in the provided texts. Dr. Holl has not listed advisees, though her teaching role suggests involvement in student mentorship. She has no publicly noted lab affiliations in the current data.
Barton P. Miller is a Vilas Distinguished Achievement Professor and the Amar & Balinder Sohi Professor of Computer Sciences at the University of Wisconsin, Madison, where he has made significant contributions to computer science research and education. As a faculty member in the Computer Sciences Department within the College of Engineering, he directs major research initiatives including the Paradyn Tools project and leads cybersecurity efforts as Chief Scientist of the DHS-funded Software Assurance Marketplace (SWAMP) research center. Miller received his B.A. degree from the University of California, San Diego in 1977, and M.S. and Ph.D. degrees in Computer Science from the University of California, Berkeley in 1980 and 1984. His educational background laid the foundation for his pioneering work in software testing and analysis. His research spans multiple critical areas of computer science, with a primary focus on binary code analysis and instrumentation , software security , and distributed and parallel program performance . Miller is particularly renowned for founding the field of Fuzz random software testing in 1988 and dynamic binary code instrumentation in 1992. His work bridges theoretical computer science with practical applications, addressing real-world challenges in high-performance computing systems, cybersecurity, and scalable distributed systems. His research has direct applications in national security through his work with DHS and TrustedCI, the NSF Cybersecurity Center of Excellence. Miller's publications reveal a consistent focus on binary analysis tools, security vulnerability detection, and performance optimization techniques. His recent work shows increasing emphasis on ransomware analysis, GPU performance optimization, and practical security tool development for developers. The trajectory of his research demonstrates how foundational work in binary instrumentation has evolved to address contemporary cybersecurity challenges while maintaining relevance to high-performance computing environments. Among his notable honors, Miller is a Fellow of the ACM and recipient of the prestigious Jean-Claude Laprie Award in Dependable Computing , an R&D 100 Award , and multiple best paper awards including at HPDC 2009 and CCGrid 2018. His contributions to the field have been recognized through distinguished lectureships at institutions including Ben Gurion University and IBM T.J. Watson Research Center. As an educator, Miller has mentored numerous students and taught courses spanning operating systems, software security, and distributed systems. He has received teaching awards and developed educational resources including free and open software security training materials. His work with TrustedCI has focused on cybersecurity for scientific communities, helping researchers secure their computational infrastructure while maintaining research productivity. Miller also co-directs the MIST software vulnerability assessment project in collaboration with colleagues at the Autonomous University of Barcelona. Miller directs the Paradyn Tools project, which investigates program scalability and binary program analysis technologies for use in HPC, systems design, and cyber-security. His work extends to practical applications through collaborations with government agencies including DHS and the U.S. Secret Service Electronic Crimes Task Force. His research group has developed tools like Dyninst, MRNet, and the Wisconsin Safety Analyzer that have become foundational in their respective domains.
Rajeev Barua is a Professor of Electrical and Computer Engineering at the University of Maryland, College Park, affiliated with the Institute for Systems Research (ISR) and the Computer Science Department. He holds a Ph.D. from MIT in Electrical Engineering & Computer Science (2000) and a B.Tech. from the Indian Institute of Technology Delhi (1992). His research focuses on compilers, cybersecurity, and parallel computing, with notable contributions to binary rewriting, automatic parallelization, and memory management for embedded systems. He has secured $6.95M in research grants and holds five patents. Barua founded SecondWrite Inc., commercializing cybersecurity software based on his research. He has received awards such as the NSF CAREER Award (2002) and the UMD George Corcoran Teaching Excellence Award (2003). Affiliations: Electrical & Computer Engineering Department, ISR, Computer Science Department Education: Ph.D., MIT (2000); S.M., MIT (1994); B.Tech., IIT Delhi (1992) Research Themes: Binary Rewriting, Cybersecurity, Parallel Programming, Embedded Systems, Compiler Optimization Key Projects: SecondWrite Inc., Raw Architecture chip development (IBM), ICE programming model for parallel computing Grants & Patents: $6.95M in grants, $2.4M in startup funding, five issued patents Teaching: Courses include ENEE 446 (Compilers), ENEE 350H (Embedded Systems), and advanced graduate topics. His work on binary rewriting addresses security and performance optimization, while his parallel computing research advances declarative programming models like ICE. Recent publications emphasize malware detection and efficient multiprogramming on multicore systems. Awards: NSF CAREER Award (2002) UMD George Corcoran Teaching Excellence Award (2003) UMD Jimmy Lin Innovation Award (2014) President of India Gold Medal (1992) Finalist, Inventor of the Year (2005) Labs & Teams: Leads research groups in compiler optimization and cybersecurity at UMD, collaborating with industry partners like IBM and Tilera. SecondWrite’s cybersecurity software has commercial applications in malware mitigation.
Shu-Cherng Fang is a prominent academic in the fields of Operations Research , Optimization , and Machine Learning . His work spans theoretical advancements and practical applications in Mathematical programming Supply chain network design Fuzzy systems Support vector machines Algorithm development . While specific institutional affiliations and academic rank are not explicitly stated in the provided text, his extensive publication record in high-impact journals indicates a faculty-level role. Research interests include optimization under uncertainty , supply chain logistics , and kernel-free machine learning models . Key trends in recent articles focus on fourth-party logistics (4PL) network design distributionally robust optimization for machine learning mathematical modeling of customer behavior stochastic programming . Co-authors frequently include Min Huang, Zhibin Deng, Jian Luo, and Wenxun Xing, reflecting sustained collaborations. Articles emphasize interdisciplinary approaches combining fuzzy logic , game theory , and computational geometry to solve complex decision-making problems.
Katerina Chatziioannou is an Assistant Professor of Physics at the California Institute of Technology and a William H. Hurt Scholar. She holds a faculty position in the Division of Physics, Mathematics and Astronomy, specifically within the Physics department, and is actively involved in multiple major gravitational wave collaborations including the LIGO Scientific Collaboration, LIGO Laboratory, LISA Consortium, NANOGrav Collaboration, Simulating Extreme Spacetimes Collaboration, and Simons Collaboration on Extreme Electrodynamics of Compact Sources. Dr. Chatziioannou's research revolves around General Relativity and using Gravitational Waves to study the Universe. Her work spans theoretical and observational aspects of gravitational wave astronomy, with particular focus on black hole physics, neutron star physics, and data analysis techniques. She develops methods to extract physical information from gravitational wave signals, studies the properties of compact objects, and investigates fundamental physics through gravitational wave observations. Her research bridges theoretical physics, computational methods, and observational astronomy, with applications to current and future gravitational wave detectors including LIGO, Virgo, and the planned LISA mission. Analysis of her recent publications reveals significant contributions across multiple frontiers of gravitational wave science. Her work addresses critical challenges in parameter estimation for binary black hole systems, neutron star equation of state constraints, glitch mitigation techniques, and waveform modeling. She has made important contributions to both ground-based (LIGO/Virgo) and space-based (LISA) gravitational wave astronomy, as well as pulsar timing array science through her work with NANOGrav. Her research demonstrates a strong interdisciplinary approach connecting nuclear physics, general relativity, and observational astronomy. Dr. Chatziioannou has received recognition as a William H. Hurt Scholar, highlighting her contributions to physics research. This prestigious award underscores her standing in the field of gravitational wave astrophysics and theoretical physics. She leads a vibrant research group at Caltech comprising graduate students, postdoctoral researchers, and staff scientists. Her current research group includes graduate students Sophie Hourihane (2020-present), Isaac Legred (2020-present), Simona Miller (2021-present), and Taylor Knapp (2023-present), along with numerous postdoctoral scholars including Patrick Meyers, Aaron Johnson, Javier Roulet, Eliot Finch, Lucy Thomas, Marco Crisostomi, Lisa Drummond, and Sophie Bini. She also mentors undergraduate researchers through programs like the LIGO SURF program, having supervised multiple summer research fellows over the years. Dr. Chatziioannou teaches several advanced physics courses at Caltech including Physics 106a (Topics in Classical Physics), Physics 129b (Mathematical Methods of Physics, Complex Analysis and Differential Equations), and Physics 236a (General Relativity I), contributing significantly to the education of future physicists and astronomers. Her teaching responsibilities span both undergraduate and graduate levels, reflecting her expertise in theoretical physics and gravitational wave science.
Katalin Balogné Bérces is a Professor at the Catholic University of Ružomberok , Department of English Language and Literature since 2019. She previously held academic positions at Pázmány Péter Catholic University (PPCU), ELTE, and Károli Gáspár University in Budapest, with guest lecturing roles at the University of Edinburgh and Babeş-Bolyai University. Education : MA (1998) and PhD (2006, summa cum laude ) in English Linguistics from ELTE, Budapest; thesis published as Strict CV Phonology and the English Cross-Word Puzzle (2008). Research Interests : Focus on English phonology , particularly syllable structure, consonantal processes, laryngeal subsystems (voice vs. aspiration), and their historical emergence through language contact. Key contributions include modeling hybrid laryngeal systems in Northern English dialects and cross-morphemic palatalisation in Basque. Article Trends show her work spans theoretical phonology, cross-linguistic analysis (Basque, English, Italian), and applied linguistics in pronunciation teaching. Collaborative projects include Wiley-Blackwell Companion to Phonology (2023–2024) and OTKA Project 'Laryngeal patterns in synchrony and diachrony' (2022–2026). Scientific Awards : Dean’s Award for Teaching Excellence (2021) ESSE Book and Resource Grant (2024) State Stipend for PhD (1998–2001) Eötvös Scholarships (2001, 2003) Advising & Grants : Supervising Erika Sajtós and Noémi Gyurka in the PPCU Thematic Excellence Program . Principal investigator in the Visegrad Fund project on Kathleen E. Dubs. Collaborations with teams at SOAS, Tromsø, Memorial University, and the University of Edinburgh.
Lucas Vincenzo Davi is a Professor of Computer Science at the University of Duisburg-Essen and Director of the paluno - the Ruhr Institute for Software Technology . He leads the SYSSEC research group and is a Principal Investigator (PI) in the SFB CROSSING and CASA excellence cluster. His work focuses on practical software and systems security, including memory corruption vulnerabilities, exploit mitigation, and blockchain smart contract security. Davi holds an ERC Starting Grant for Smart Contract Security research. Education: PhD in IT Security, TU Darmstadt (2011–2015), Dissertation: "Code-Reuse Attacks and Defenses" Master of Science in IT Security, Ruhr-Universität Bochum (2007–2009) Diplom (FH) in Business Informatics, FOM Neuss (2003–2007) Research: Davi's work emphasizes real-world security challenges like runtime attacks, trusted execution environments (TEE), and secure embedded systems. His contributions include Wemby (WebAssembly security analysis), HCC (smart contract hardening), and rowhammer mitigations like CATT. His research has influenced industry practices, e.g., Microsoft EMET v5.1 improvements. Awards: Best Teacher Award (2025) Finalist German IT Security Prize (2022, 2020) ACM SIGSAC Dissertation Award (2016) CAST Förderpreis (2010) Grants & Leadership: ERC Starting Grant (Smart Contracts), SFB CROSSING PI, CASA Cluster PI, and leadership in interdisciplinary initiatives like Nano Security (DFG Priority Program). Labs/Teams: Director of paluno, SYSSEC group leader, and collaborator in projects like HERA (hotpatching for embedded systems) and DMA’n’Play (DMA-based attestation).
Sara Brunetti is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, Italy. She holds a PhD in Computer Science from the University of Florence (2001) and has been with the University of Siena since 2007, initially as an Assistant Professor before being promoted in 2022. Her academic work spans research, teaching, and international leadership in discrete computational methods. Graduate Degree in Mathematics, University of Florence, 1997 PhD in Computer and Automation Engineering, University of Florence, 2001 Her research focuses on the design of efficient algorithms, particularly in Discrete Tomography, Computational Geometry, Bioinformatics, and Digital Image Analysis . She investigates computational complexity, uniqueness in reconstruction problems, shape descriptors, and majority-rule protocols in distributed systems. Her work bridges theoretical computer science with applications in imaging and molecular systems. Recent publications show a strong trend in discrete geometry and mathematical morphology , with applications in image reconstruction, molecular modeling, and social network analysis. Her interdisciplinary work appears in mathematics, computer science, and web science venues, reflecting a broad impact across algorithmic disciplines. Sara Brunetti holds leadership roles in the international research community, notably as Co-Chair of Technical Committee-18 on Discrete Geometry and Mathematical Morphology of the International Association for Pattern Recognition (IAPR) from 2022 to 2024. She has been actively involved in research projects funded by MIUR, the University of Florence and Siena (PAR scheme), and the COST Action MP1207. She collaborates internationally with institutions including Technische Universität München, University of Szeged, LIMOS (Clermont Auvergne), and Université Louis Pasteur Strasbourg. While no formal list of advisees is provided, she supervises PhD theses and has co-edited special issues in her field. She is engaged in teaching, offering courses such as Foundations of Programming and Graph Theory at both undergraduate and graduate levels.
Rusi Jaspal is Professor of Psychology and Sexual Health and Associate Pro Vice-Chancellor (Research) at De Montfort University (DMU), UK, where he is affiliated with the School of Applied Social Sciences within the Faculty of Health and Life Sciences. He also serves as Deputy Director of the Mary Seacole Research Centre and holds a Visiting Professorship in Minority Research at Abo Akademi University, Finland. M.A., University of Cambridge M.Sc., University of Surrey Ph.D., Royal Holloway, University of London His research focuses on the social psychology of identity, particularly among marginalized groups, with a strong emphasis on sexual health, LGBTQ+ communities, and the psychological aspects of HIV/AIDS. He investigates how individuals manage intersecting identities related to ethnicity, religion, and sexuality, especially among British South Asian and Muslim gay men. His work integrates social identity theory, minority stress, and social representations to understand health disparities and develop effective interventions. His recent publications highlight trends in digital identity (e.g., Grindr), stigma around PrEP and chemsex, cross-cultural identity construction, and media representations of public health issues. These works span psychology, public health, media studies, and cultural theory, reflecting his interdisciplinary approach. DMU Vice-Chancellor's Future Research Leader (2014) British Climate Change Study Group Award (2014) Outstanding Research by an Early Career Scholar Prize, BPS (2012) Changing Faces Essay Prize – Highly Commended (2011) Poster Competition Prize, University of Nottingham (2011) Prof Jaspal has secured multiple research grants from organizations including Public Health England, NAZ: Sexual Health for Everyone, and the Annenberg Public Policy Center. He supervises PhD students working on non-binary gender identities, intercultural communication, and mental health in South Asian LGB populations. He is actively involved in knowledge dissemination through editorial roles (e.g., book reviews editor for Israel Affairs ) and peer review for numerous journals and publishers. He also contributes to public health policy through his role on the Medical Board of NAZ and membership in professional associations such as the British HIV Association and the International AIDS Society. He leads and collaborates on interdisciplinary research projects centered on mental health, cultural diversity, and health equity, often co-produced with statutory and voluntary sector partners. His work aligns with global efforts to promote the UN Sustainable Development Goals, particularly in health and wellbeing.
Elias Athanasopoulos is an Associate Professor at the Department of Informatics, University of Cyprus. He holds a PhD in Computer Science from the University of Crete (2011), with prior academic roles including Assistant Professor at Vrije Universiteit Amsterdam (2015–2016). His research focuses on system security and privacy, with notable contributions in memory safety, fuzzing frameworks, browser security, and hardware-assisted defenses. He has received prestigious awards including the Best Paper Award at IEEE European Symposium on Security and Privacy (2020) and Outstanding Paper Award at ACM CODASPY (2016). Education: B.A. in Physics (University of Athens, 2005), MSc and PhD in Computer Science (University of Crete, 2006–2011). Fellowships include Marie Curie (Columbia University, 2011–2013) and FORTH (2014). His work spans over 30 peer-reviewed publications in top-tier conferences like USENIX Security, IEEE S&P, and ACM CCS. Key research areas include memory safety in Rust binaries, evading NLP systems via Unicode exploits, and mitigating network-based Rowhammer attacks. His projects often bridge software/hardware boundaries, such as GPU-based cryptographic operations (PixelVault) and hardware-enforced control-flow integrity (HCFI).
Ramon Canal Corretger is a Full Professor in the Department of Computer Architecture at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He previously served as Vice Dean of Postgraduate Studies at FIB and leads the VirtuOS (Virtualization and Operating Systems) research group. His work bridges computer architecture, hardware security, and system-level reliability. Doctorate from UPC, co-supervised at the University of Wisconsin-Madison Sabbaticals at Harvard University (2006–2007) and the University of Cyprus (2019–2020) Active leadership in EU-funded projects such as Vitamin-V (Horizon Europe) His research focuses on microarchitecture, processor and memory design, reliability under variability, and security at the hardware-software interface. He explores low-power multicore architectures, virtualization optimizations, and secure RISC-V-based systems. His recent work integrates AI for intrusion detection and privacy-preserving federated learning in fog computing environments. The most recent publications demonstrate a strong trend toward security, reliability, and trustworthy computing , particularly in RISC-V ecosystems and cloud/edge infrastructures. There is increasing emphasis on hardware-software co-design , attack detection via performance monitoring , and energy-efficient secure accelerators using emerging technologies like neuromorphic and photonic computing. Scientific Awards: HiPEAC Paper Awards (2017, 2010) IEEE Senior Member (2016) Fulbright Award (2006) IBM Faculty Award (2000) Best Student Paper at HPCA-6 (2000) Multiple teaching excellence recognitions from UPC and AQU Catalunya First Prize in Epson Foundation Rosina Ribalta Award (2001) He has advised several PhD students including Manish Rana, Zoran Jaksic, and Shrikanth Ganapathy, many of whom received honors such as the Intel Doctoral Student Programme recognition. His research is supported by competitive grants from the Spanish government, EU Horizon programs, and industry collaborations. He is actively involved in the design of secure, reliable, and efficient computing systems for future cloud and embedded applications. He leads the VirtuOS research group, which focuses on virtualization, operating systems, and hardware-software interface optimization. The group contributes to open-source RISC-V initiatives and participates in large-scale European R&D projects targeting trustworthy computing infrastructures.
