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Kathleen HortonView profile

Senior Lecturer

• Fashion
• Ethics
• Sustainability
• +13 more

Kathleen Horton is a Senior Lecturer in the School of Design at Queensland University of Technology (QUT), Faculty of Creative Industries, Education & Social Justice. She is co-leader of TextileR, a research group focused on sustainability in the fashion industry, and has held leadership roles including Head of Discipline (Fashion) and Director of The Stitchery Collective. Her work bridges academic research, education, and community engagement in fashion, ethics, and sustainability. Master of Philosophy (Queensland University of Technology) Master of Arts (Research) (Queensland University of Technology) Bachelor of Arts (Honours) Visual Arts (Queensland University of Technology) Kathleen Horton's research is grounded in feminist and critical theory, focusing on the ethical and gendered dimensions of fashion production and consumption. Her work explores sustainable fashion, the cultural economy of independent design, fashion curation, and the role of creative practice in revaluing post-consumer textile waste. She emphasizes material methods and community-based research, often integrating artistic practice with academic inquiry. Her teaching includes DFB102 Fashion Communication, DFB206 Global Fashion Cultures, and DFB305 Critical Fashion Studies. Her recent publications reflect a strong trajectory in critiquing fast fashion, examining digital activism, and reimagining circular economies in textiles. Themes include the feminisation of ethical responsibility, symbolic value in craft, and Indigenous sustainable fashion. Her interdisciplinary approach connects fashion with art, social justice, and environmental sustainability. Kathleen has successfully supervised multiple doctoral and master’s students, with research topics spanning gender representation, fashion curation, and the cultural economy of fashion. She has secured grants from national and state funding bodies to support socially engaged fashion projects. Her leadership extends beyond the university through her role as Chair of The Nest Community, supporting a women-led circular textile economy, and her past service on the advisory board of the National Clothing Product Stewardship Scheme, which contributed to national policy development. Her research is deeply collaborative, often involving partnerships with artists, communities, and industry stakeholders. Through TextileR and The Stitchery Collective, she fosters interdisciplinary and socially responsive design practices. Her work consistently challenges dominant fashion paradigms and advocates for more ethical, inclusive, and sustainable futures in the industry.

Ruben MartinsView profile

Assistant Professor

• Constraint Programming
• Program Synthesis
• Formal Verification
• +3 more

Ruben Martins is an Assistant Professor at Carnegie Mellon University's School of Computer Science and serves as the program director of the Master of Science in Computer Science (MSCS) . His research focuses on the intersection of constraint programming, program synthesis, analysis, and verification, with recent work aiming to make formal methods tools more accessible through automated reasoning. Ruben earned his Ph.D. with honors from the Technical University of Lisbon, Portugal (2013) , followed by postdoctoral research at the University of Oxford (2014-2015) and UT Austin (2015-2017) . Research Interests : Ruben's work bridges constraint programming and program synthesis , with applications in software verification , optimization , and automated reasoning . He has developed award-winning tools like Open-WBO , a modular MaxSAT solver that has won gold medals in international competitions. His publications span top-tier venues such as POPL , PLDI , FSE , SAT , and CP , often addressing real-world challenges from program analysis to network security. Scientific Awards include: Distinguished Paper Award at PLDI 2018 Distinguished Paper Award at FSE 2021 Distinguished Paper Award at SAT 2022 Gold medals for Open-WBO in MaxSAT competitions Teaching & Advising : Ruben mentors Ph.D., Master’s, and undergraduate students in research projects related to program synthesis, formal methods, and constraint solving. He teaches courses such as Bug Catching: Automated Program Verification and Advanced Topics in Logic: Automated Reasoning and Satisfiability , emphasizing hands-on experience with tools like Why3. His advising spans topics from AI-driven program repair to network protocol verification , fostering collaboration across disciplines.

• Criminal Law
• Cybercrime Legislation
• Gender-Based Violence
• +3 more

Dr. Vagia Polyzoidou is an Associate Professor in the Department of Law at the University of Cyprus, serving as Associate Head of Department and Programme Coordinator. She is a Member of the Senate and holds an academic rank of Associate Professor. Her expertise spans Criminal Law, Cybercrime Legislation, and Gender-Based Violence. She earned her Bachelor's, Master's, and PhD in Law from Aristotle University of Thessaloniki, with a specialization in Criminal Law and Criminology. Education: Bachelor of Law, Aristotle University of Thessaloniki Master of Law (Criminal Law and Criminology), Aristotle University of Thessaloniki PhD in Law (Criminal Law), Aristotle University of Thessaloniki Her research focuses on cybercrime, digital violence against women, EU legal frameworks for electronic evidence, and legal responses to social issues like fat shaming. She has an h-index of 8 and 101 citations, with active research since 2011. Notable contributions include work on the Budapest Convention, psychosocial interventions in legal contexts, and violence against women. Her recent publications (2023–2024) address EU e-evidence regulations, legal approaches to sexual harassment in Greece, and protections for minor victims through exceptional criminal provisions. She has collaborated internationally on criminal justice policies and cybercrime legislation. Dr. Polyzoidou’s work aligns with UN Sustainable Development Goals, particularly those addressing gender equality and quality education. She maintains an active Scopus profile and contributes to academic discourse through peer-reviewed journals and conference presentations.

Alexandra FedorovaView profile

Professor

• Systems Software
• Memory and Storage Management
• Accelerator-Centric Computing
• +4 more

Dr. Alexandra Fedorova is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), with an Associate Member role in the Computer Science department. She leads the Systopia systems research group, focusing on system software design, memory/storage management, and accelerator-centric computing. Her work emphasizes performance optimization, energy efficiency, and hardware-software co-design. She holds a PhD from Harvard University (2006), where she researched operating system scheduling under Margo Seltzer. Prior to UBC, she was an Associate Professor at Simon Fraser University (2006–2015). Fedorova is a recipient of the Alfred P. Sloan Research Fellowship and the Anita Borg Early Career Award. She consults for MongoDB's storage engine team and collaborates with industry on storage and performance challenges. Her research spans tools like Non-sequitur for program trace visualization, studies on storage-class memory (e.g., Optane), and frameworks for GPU acceleration. Recent efforts include Sunstone (spatial accelerator scheduling) and ExtMem (application-aware memory management). Her work bridges low-level systems with high-performance computing needs. Key contributions include optimizing NUMA systems, improving storage engine performance, and exploring processing-in-memory architectures. Fedorova’s projects often involve open-source collaboration, reflected in her GitHub repositories such as vividperf and perf-logging , which support performance analysis tools.

Niina VuolajärviView profile

Assistant Professor

• Migration Studies
• Sex Work
• Critical Trafficking Research
• +6 more

Niina Vuolajärvi is an Assistant Professor in International Migration at the London School of Economics and Political Science's European Institute. Her interdisciplinary research bridges migration studies, feminist theory, and socio-legal analysis with particular focus on sex work, trafficking, and border policies. She holds a Ph.D. in Sociology from Rutgers University (2021) and has previously held research positions at the New School's Zolberg Institute of Migration and Mobility, Rutgers University's Institute for Research on Women, and Princeton University's Program in Gender and Sexuality Studies. Her research expertise spans migration and border studies, sex work and critical trafficking research, law and policy analysis, feminist studies, and qualitative methodologies. Vuolajärvi's work is characterized by its ethnographic depth and policy relevance, particularly examining how the so-called 'Nordic Model' of criminalizing sex work clients intersects with immigration controls. Her current book project, 'Sex Work, Migration and the 'Nordic Model',' draws on extensive three-country research including 210 interviews across Sweden, Norway, and Finland. Vuolajärvi's publications reveal consistent engagement with the lived experiences of migrant sex workers, the unintended consequences of anti-trafficking policies, and the racialized dimensions of border enforcement. Her work demonstrates methodological sophistication through extensive ethnographic fieldwork and innovative approaches combining academic research with artistic and journalistic collaborations, as evidenced by her award-winning 'Deported' project. Scientific Awards: Law and Society Association Article Price Honorable Mention (2020) American Sociological Association Sexualities Section Best Graduate Student Paper Award (2019) Visual Journalism of the Year Award (2017) Mellon/ACLS Dissertation Fellowship Fulbright Foundation support American-Scandinavian Foundation Award Scandinavian Research Council for Criminology award Vuolajärvi has secured significant research funding from foundations including the Kone Foundation (for the 'Deported' project), Mellon/ACLS, and Fulbright Foundation. Her policy-relevant research has been translated into multiple languages (Spanish, German, French, Italian, Swedish, Norwegian, and Finnish) through the LSE Centre for Women, Peace and Security. She maintains strong connections with feminist, migrant, and sex worker rights movements, bringing over a decade of activist experience to her academic work.

João MagalhãesView profile

Professor

• Vision and Language Understanding
• Multimodal Information Understanding
• Multimodal Conversational AI
• +5 more

João Magalhães is a Full Professor in the Department of Computer Science at the Faculty of Science and Technology, Universidade NOVA de Lisboa, Portugal. He serves as Group Coordinator of the Multimodal Systems Group at the NOVA Laboratory for Informatics and Computer Science and leads the NOVASearch research group at FCT/UNL. His research focuses on vision and language information understanding, with particular emphasis on multimodal information understanding, multimodal conversational AI, multimedia search and summarization, temporal and memory models, and social media information quality. His work spans both theoretical foundations and practical applications across web, social media, and clinical domains. Analysis of his recent publications reveals a strong trajectory in multimodal conversational AI systems, with increasing sophistication in handling both voice and visual inputs. His research has evolved from foundational work in cross-modal embeddings to advanced large language models for dual-goal conversational settings, demonstrating consistent innovation in the field of multimodal understanding. 1st prize winner of the second Alexa TaskBot Challenge (2023) Award-winning solution in the Alexa TaskBot Challenge (2022) Best paper award at the Portuguese NLP conference (PROPOR) (2020) Best paper nominations at ACM conferences (2018) Professor Magalhães has advised numerous graduate students through the NOVASearch group and has secured substantial research funding through projects including Amazon Alexa TaskBot Challenge (2021-2023), iFetch (2020-2023), SmartyFlow (2017-2020), COGNITUS (2016-2019), GoLocal (2016-2020), QSearch (2012-2015), ImTV (2010-2013), and CS4SE (2010-2013). He actively serves the research community as ACM Multimedia 2026 Program Committee Chair and has held leadership roles in numerous conferences including ACM Multimedia 2022 General Chair and ECIR2020 General Chair. He leads the Multimodal Systems Group within the NOVA Laboratory for Informatics and Computer Science, where his team develops cutting-edge solutions for multimodal understanding with applications in conversational AI, multimedia search, and social media analysis.

Bettina NissenView profile

Lecturer

• Research through Design
• Designing with Data
• Data Engagement
• +7 more

Bettina Nissen is a Lecturer in Interaction Design and Programme Director for Design Informatics at the University of Edinburgh's School of Design within Edinburgh College of Art. Her position bridges academic teaching and research with practical applications in data-driven design. She directs the Design Informatics MA program while maintaining an active research profile through the Institute for Design Informatics. Dr. Nissen's research interests focus on making complex technological concepts accessible through tangible means. Her expertise spans Research through Design , Data Physicalisation , Digital Fabrication , and Designing with Data . She explores how physical representations of data can enhance understanding and engagement with complex systems, particularly in contexts of trust, consent, and economic value. Her recent publications reveal a strong trajectory toward community-centered approaches to data governance and indigenous knowledge systems. The work shows increasing engagement with decolonial design methodologies, more-than-human interactions, and feminist economic perspectives on technology. A notable pattern emerges in her focus on tangible interfaces for abstract concepts like blockchain, trust, and value systems. Best paper award at CHI 2024 for "Cosmovision of data: An indigenous approach to technologies for self-determination" Dr. Nissen currently supervises three PhD students (Yifei Li, Carlos Guerrero Millan, and Yixun Li) and has secured funding from multiple prestigious sources including AHRC, EPSRC, ESRC, and EU programs. Her research projects include PACTMAN (EPSRC-funded work on trust in pervasive environments), After Money (ESRC-funded collaboration with Royal Bank of Scotland), Crypto-Knitting with People's Bank of Govanhill, DCODE (EU-funded network), REPHRAIN research center, and the VisHub visualization laboratory. She actively participates in interdisciplinary research communities through the Visual+Interactive Data group and the Regulation and Design (RAD) Lab, fostering collaborations between design, technology, and policy domains.

Bruce M. McLarenView profile

Professor

• Learning Sciences
• Educational Technologies
• Human-Centered AI
• +7 more

Bruce M. McLaren is a Professor at Carnegie Mellon University's Human-Computer Interaction Institute (HCII), where he heads the McLearn Lab. He previously served as President of the International Artificial Intelligence in Education Society (2017-2019) and has been elected to the Executive Committee of the AI-ED Executive Committee for two separate terms (2012-2017 and 2022-2027). Dr. McLaren's research focuses on how technology can support education through digital learning games , intelligent tutoring systems , and collaborative learning environments. His work has demonstrated that students can learn decimals more effectively through Internet-based learning games compared to conventional methods. He has also conducted significant research on erroneous examples in learning, showing how students benefit from working with incorrect solutions alongside intelligent tutors. His publications reveal a strong trend toward integrating artificial intelligence with educational technologies, particularly in analyzing student learning patterns, developing adaptive educational games, and creating tools that support both students and teachers in classroom settings. Recent work increasingly focuses on the application of generative AI like ChatGPT in educational contexts. Best Paper Award at ECTEL 2023 for research on ChatGPT in decimal learning Fulbright Scholarship recipient for educational technology work in Chile (2019) Multiple best paper awards at major AI in Education conferences Erskine Fellowship for teaching Intelligent Tutoring Systems in New Zealand As an advisor, Professor McLaren has mentored numerous students in the HCII program and has secured significant research funding, including NSF grants for projects like AdaptErrEx and LASAD. His lab, the McLearn Lab, serves as a hub for interdisciplinary research at the intersection of learning sciences and artificial intelligence. Beyond academia, he brings over 20 years of commercial sector experience, having served as Director of eCommerce Technologies at OpenWebs Corporation and leading expert system projects at Carnegie Group, Inc.

Shannon MillerView profile

Professor

• Renaissance Literature
• John Milton
• Seventeenth-Century Women Writers
• +2 more

Dr. Shannon Miller serves as Dean of the College of Humanities and the Arts and Professor of English and Comparative Literature at San José State University, an urban institution serving 33,000 students. She oversees 500 faculty/staff across 8 academic departments, 2 schools, 3 centers, and the Hammer Theatre Center, managing a $24M annual budget while sponsoring 500+ cultural/intellectual events yearly. Educational background: B.A. in English, Dartmouth College M.A. and Ph.D. (1991) in Renaissance Literature, UC Santa Barbara Her research interrogates Renaissance English literary production through gendered frameworks, specializing in John Milton's theological constructions and marginalized voices of seventeenth-century women writers. This work critically examines how gender ideologies shaped textual authority in early modern England, revealing intersections between literary canon formation and patriarchal power structures. Notable recognitions: Folger Shakespeare Library Fellowship Tanner Humanities Center Fellowship John Carter Brown Library Fellowship British Bibliographical Society Fellowship Administratively, Miller pioneered project-based curriculum reforms and implemented Stretch English in First-Year Writing. She secured $4.8M for the Martha Heasley Cox Center for Steinbeck Studies and leads SJSU's Hammer Theatre Center collaboration with San José. Her leadership emphasizes humanities as essential infrastructure for technological ethics and social mobility. The college's "Borderlands" and "Deep Humanities & Arts" initiatives under her direction integrate migration studies and digital ethics across disciplines, transforming classroom learning into community-engaged praxis through theater, philosophy, and visual arts.

Helen ArmstrongView profile

Professor

• Inclusive Design
• Machine Learning
• Digital Rights
• +3 more

Helen Armstrong serves as Professor of Graphic & Experience Design and Director of the Graduate Program in Graphic & Experience Design at North Carolina State University's College of Design. Her academic leadership spans research, publication, and industry collaboration at the intersection of design and artificial intelligence. Her educational background includes an MA in English Literature from The University of Mississippi, an MA in Publication Design from the University of Baltimore, and an MFA in Graphic Design from The Maryland Institute College of Art. Armstrong's research focuses on digital rights, human-machine teaming, and accessible design, driven by her advocacy for inclusive interfaces as a parent of a child with disabilities. She explores how designers can establish leadership in AI development through human-centered approaches, particularly in explainable AI systems and trust calibration between humans and machines. Analysis of her recent publications reveals a dominant trend toward applying design principles to artificial intelligence challenges, with increasing emphasis on visualization techniques for uncertainty representation, ethical considerations in AI, and inclusive design methodologies. Her work consistently bridges theoretical frameworks with practical industry applications across diverse domains including intelligence analysis, financial services, and assistive technologies. Scientific recognition includes: University Faculty Scholar at NC State (2018) Armstrong actively mentors graduate and undergraduate students through studio courses and research projects while securing substantial industry funding. Her sponsored research portfolio features partnerships with SAS Analytics, IBM, REI, Advance Auto Parts, Sealed Air, Fidelity Investments, and the Laboratory for Analytic Sciences. Current projects address critical challenges in human-AI teaming, including visualizing confidence scores for speaker models, knowledge transfer in wealth management, and personalized shopping experiences. She maintains deep collaboration with the NC State Laboratory for Analytic Sciences (LAS) and contributes to the K-12 Design Lab initiative, extending her expertise in inclusive design to educational outreach programs and community engagement efforts.

Ahmed Bin ZamanView profile

Assistant Professor

• computational biology
• evolutionary computation
• artificial intelligence
• +1 more

Ahmed Bin Zaman serves as an Assistant Professor in the Department of Computer Science at George Mason University, where his research bridges computational methods with biological discovery. His academic profile emphasizes innovative approaches to protein structure prediction and optimization challenges. His educational foundation includes: PhD in Computer Science, George Mason University (2021) Master of Science in Computer Science, George Mason University (2020) Zaman's research program centers on computational biology, with specialized expertise in evolutionary computation and artificial intelligence applied to protein conformation analysis. He develops stochastic optimization frameworks to enhance protein structure prediction accuracy, focusing on conformational space mapping and decoy ensemble generation. His methodology integrates evolutionary algorithms with multi-objective optimization to navigate complex molecular landscapes, contributing significantly to template-free protein structure determination. His publication trajectory from 2017-2022 reveals distinct research phases: initial work in cybersecurity threat detection evolved into a concentrated focus on computational structural biology. Thirteen protein-related publications demonstrate consistent innovation in conformational sampling techniques, while maintaining methodological rigor through evolutionary computation and machine learning integration. Key contributions include conformation space mapping frameworks and adaptive stochastic optimization systems that address decoy diversity challenges. Professional development shows progression from industry experience at Technext Limited (as team leader/researcher) and lecturing at Metropolitan University to his current academic role. His teaching philosophy emphasizes cultivating independent problem-solving capabilities in students through cognitive tool development.

• Academic Language Development
• Vocabulary Instruction
• Reading Comprehension
• +3 more

Dianna Townsend serves as Professor of Literacy Studies in the Department of Literacy Studies within the College of Education and Human Development at the University of Nevada, Reno. She directs the M.Ed., Ph.D. programs in Reading Curriculum & Instruction and Reading Specialist Endorsement Certificate. Nationally, she holds key roles as Principal Member of the Institute of Education Sciences (IES) Education Research Scientific Review Panel and member of the National Assessment of Education Progress (NAEP) Reading Standing Committee. In Nevada, she co-founded and presides over the Nevada Adolescent Literacy Network (NALN). Her educational credentials include an Ed.D. from the University of California-Irvine and an M.Ed. from Boston University, establishing her expertise in literacy education. These qualifications underpin her leadership in graduate programs and statewide literacy initiatives. Dr. Townsend's research fundamentally addresses academic language development for adolescent learners, with concentrated focus on vocabulary acquisition, reading comprehension, and disciplinary literacy across academic subjects. Her work investigates how discipline-specific language demands impact student learning and develops evidence-based instructional scaffolds. She prioritizes culturally and linguistically sustaining approaches, particularly for multilingual adolescents, as demonstrated in her Spencer Foundation-funded intervention research comparing background knowledge activation and academic language support strategies. Analysis of her 15 most recent publications reveals consistent emphasis on sentence-level language features, academic vocabulary instruction, and disciplinary literacy across K-12 contexts. Her scholarship demonstrates methodological diversity through mixed-methods designs while maintaining focus on practical classroom applications. Key trends include the integration of writing in content areas, multimodal vocabulary instruction, and culturally responsive comprehension strategies that address equity gaps for linguistically diverse learners. Her scientific recognition includes the Tibbetts Distinguished Teacher Award, validating her exceptional pedagogical contributions. This award reflects her innovative approaches to literacy education and teacher development. Dr. Townsend secured significant research funding from the Spencer Foundation for adolescent literacy interventions and created the Virtual Reading Clinic to provide remote graduate practicum experiences for teachers in rural areas. While specific advisee names aren't documented, she mentors through her directed graduate programs. Her national committee work with IES and NAEP demonstrates sustained leadership in education research policy. She leads the Virtual Reading Clinic as an innovative online platform connecting graduate students with rural teachers, and through NALN she coordinates statewide efforts to advance adolescent literacy practices. These initiatives demonstrate her commitment to bridging research-practice gaps and expanding access to literacy expertise across Nevada's diverse educational landscape.

Spencer WilliamsView profile

Associate Professor

• Artificial Intelligence
• Business Law
• Contract Law
• +4 more

Spencer Williams is an Associate Professor of Law at California Western School of Law and Golden Gate University School of Law , where he researches and teaches at the intersection of business law and technological innovation . His work focuses on AI applications in legal practice , complex systems theory , and venture capital financing . He holds a JD from Stanford Law School and a BS in Economics from MIT . Prior to his academic career, Professor Williams practiced corporate and securities law at Wilson Sonsini Goodrich & Rosati and served as General Counsel for a Y Combinator-backed technology startup . Current Research Interests: AI-driven contract modeling Algorithmic price regulation Network theory in legal systems Smart contract frameworks Venture capital term optimization Legal informatics His recent publications analyze generative AI in contract design (2024), LLM benchmarking (2023), and edge computing contracts (2023). He contributes to the CodeX - Center for Legal Informatics and Stanford Legal Design Lab . Contact: swilliams@ggu.edu | Office: 415-442-6651

Liu HongyanView profile

Professor

• Big data management and analysis
• machine learning
• data mining
• +7 more

Professor Liu Hongyan is a full-time Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management, where he has served since 1994, achieving the rank of Professor in 2011 after previously holding positions as Associate Professor (2003-2011) and Teacher. His research bridges theoretical data science with practical applications across e-commerce, healthcare, and social media platforms. Education: PhD in Management, School of Economics and Management, Tsinghua University (2001) His research focuses on big data management , machine learning , and business intelligence with specialized expertise in personalized recommendation systems , medical/financial data analysis , and computer vision applications . Recent work integrates large language models and causal inference to solve complex problems in short video platforms, live streaming, and healthcare analytics, emphasizing real-world impact through industry collaborations. Analysis of his 15 most recent publications (2023-2025) reveals a strong trajectory toward multimodal AI systems combining recommendation engines with computer vision, particularly in 3D animation for advertising and healthcare. Key trends include LLM-enhanced display advertising, emotion-aware facial animation, and medical image annotation using adversarial learning, while maintaining core contributions to behavioral data mining in social networks. Scientific recognition includes: National Archives Administration's Outstanding Scientific and Technological Achievement Award Multiple Best Paper Awards at international conferences Outstanding Doctoral Dissertation Supervisor designation from the Society for Management Science and Engineering Special Award for National Natural Science Foundation project on user behavior pattern discovery Professor Liu has secured leadership roles in major National Natural Science Foundation projects including Innovation Research Groups and international cooperation initiatives. His industry impact is demonstrated through patented recommendation systems adopted by multiple companies, particularly in personalized content delivery for live streaming and short video platforms. As an Outstanding Doctoral Dissertation Supervisor, he mentors the next generation of data science researchers. He serves as Deputy Director of Tsinghua University's Center for Artificial Intelligence and Management Research and holds key positions in national academic societies including the E-Commerce and Cyberspace Management Committee (China Management Modernization Research Association) and the Information Systems Engineering Committee (Chinese Society for Systems Engineering).

Bradley SchmerlView profile

Researcher

• Software Engineering
• Software Architecture
• Self-Adaptive Systems
• +5 more

Bradley Schmerl serves as a Principal Systems Scientist in the Software and Societal Systems Department (S3D) within Carnegie Mellon University's School of Computer Science. His research advances software engineering practices for modern challenges in distributed heterogeneous systems, self-adaptation, and cyber-physical integration. He leads the ABLE research group and actively mentors students in the Masters in Software Engineering program while teaching core courses like Software Architecture and Software Engineering Practicum. Dr. Schmerl's work addresses critical challenges in composing continuously evolving software systems, including components from untrusted third parties and on-the-fly recomposition for environmental changes. His research develops reusable, analyzable tools for software composition with emphasis on model-based adaptation, uncertainty management, and cross-language integration. Key projects include Rainbow for runtime architecture reflection, Acme for formal architectural foundations, and Cyber-physical Systems research linking software models with physical dynamics. Analysis of his 2023-2025 publications reveals intensifying focus on robotics software architecture (particularly ROS-based systems), explainable AI for architectural tradeoff analysis, and configuration management in adaptive systems. Trends show growing integration of machine learning for auto-tuning, empirical studies of misconfigurations, and dimensionality reduction techniques for visualizing design spaces—consistently bridging theoretical rigor with practical tool development for real-world applications. Scientific Awards: No specific awards were documented in the source materials. Dr. Schmerl serves as Practice Area Lead and mentor in CMU's Masters in Software Engineering program, guiding client projects including Rainbow UI for self-adaptive framework interfaces, CoBot UI for telepresence robots, and Educational Telepresence Tasking Language development. His research receives support through ABLE group projects funded by grants targeting software architecture foundations, adaptation mechanisms, and cyber-physical system validation. As a core member of the ABLE research group, he directs investigations into architecture-based self-adaptation with active projects spanning Rainbow (runtime architecture models for dynamic adaptation), Acme (formal architectural styles and tools), and Cyber-physical Systems (software-physical model integration). The group also maintains legacy work in End-User Architecting, Architecture Evolution, and service-oriented platforms for intelligence analysis through SORASCS.