Bill Buchanan is a Professor at the School of Computing Engineering and the Built Environment, Edinburgh Napier University, and a member of the Centre for Algorithms, Visualisation and Evolving Systems. His work spans Information Visualization , Software Systems , Cybersecurity , and AI , focusing on innovative solutions for complex data challenges. Research Interests: Information visualization for hierarchical data, cybersecurity frameworks, machine learning in industrial IoT, and post-quantum cryptographic systems. Projects: Supervised PhD projects on visualizing overlapping classification hierarchies and biological network inference. Currently leads research in AI-driven human-robot interaction and secure Dockerized architectures. Publications: 15+ recent works on quantum agents, GANs for anomaly detection, homomorphic encryption, and advanced cryptographic techniques. Collaborations: Engages with biologists, AI researchers, and cybersecurity experts across institutions.
Roberto Dolci is an Associate Professor in the Department of Italian Language, Literature, and Arts in the World (LILAIM) at the University of Rome 'Foro Italico'. He teaches in several academic programs including Italian Language and Culture in the Digital World (LiCIMoD), Italian as a Foreign Language (ITAS), Italian Food Management and Culture, and the PhD program in Linguistic, Philological, and Artistic-Literary Studies. He is also a Visiting Scholar at the John D. Calandra Italian American Institute, CUNY, New York, USA. His research centers on educational linguistics and glottodidactics, with a focus on language teaching methodologies, linguistic and educational policies, and the global promotion of the Italian language. He investigates how language instruction serves as a tool for cultural diplomacy and engages with the dynamics of the Italian diaspora worldwide. His work also integrates digital technologies into language pedagogy, particularly within digital humanities frameworks. The recent publications highlight his interest in the institutionalization of Italian language education in international contexts, especially in the United States through the AP Program, and the sociolinguistic analysis of Italian’s vitality across global communities. These works reflect a strong interdisciplinary trend combining policy analysis, language teaching, and diaspora studies. Associate Director, TILCA (Teaching Italian Language and Culture Annual) Associate Editor, MOSAIC (Journal for Language Teachers) Roberto Dolci advises academic programs and contributes to curriculum development in Italian language teaching at undergraduate and graduate levels. He is involved in research initiatives related to language policy and digital tools in education, though specific grant details are not mentioned. His collaborations with CUNY underscore international academic engagement and cross-institutional scholarly work. He is affiliated with the Department of Italian Language, Literature, and Arts in the World (LILAIM), where he leads courses in glottodidactics, intercultural communication, and linguistic skills for teaching Italian as a second language. His academic team likely includes graduate students and researchers focused on language education and policy, though specific lab structures are not detailed.
Heriberto Avelino is a researcher at the National Institute of Anthropology and History, Mexico, with a strong academic background in linguistics, holding master's and doctoral degrees from the University of California, Los Angeles (UCLA). He has held postdoctoral positions at the University of California, Berkeley, and the Cognitive Brain Research Unit at the University of Helsinki, Finland. He has served as a professor at UCLA, UC Berkeley, Stanford University, and the University of Toronto, and has delivered courses and seminars at numerous international institutions including Leiden University, Uppsala University, and the Hebrew University of Jerusalem. He was a group leader at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, and is currently conducting research on language, migration, and superdiversity at the MPI-MMG. His research lies at the intersection of cognitive neuroscience and linguistic documentation, focusing on endangered and indigenous languages, particularly in diasporic and migratory contexts. His work explores neural mechanisms of tone and duration processing in speech, language attrition, and the sociolinguistic ecology of variation. He has conducted extensive fieldwork in Mexico, the Amazon (Peru, Colombia), Borneo, and the United States. His scholarly output includes approximately twenty research articles, a trilingual Zapotec-English-Spanish dictionary, and editorial roles in significant publications such as New Perspectives in Mayan Linguistics and Laryngeal Features in Languages of the Americas . He is the chief editor of the book series Studies of Amerindian Linguistics published by Language Science Press. His research has been supported by prestigious funding bodies including DFG, MEXUS, Fulbright, and CONACYT. Heriberto Avelino has delivered keynote addresses at leading academic institutions such as Yale University, MIT, UC Berkeley, and the University of New Mexico, underscoring his international recognition in the field of linguistics and cognitive science. Distinguished researcher in endangered language documentation and cognitive neuroscience Extensive teaching and guest lecturing experience across North America, Europe, and Latin America Editorial leadership in Amerindian linguistics Fieldwork spanning multiple continents with focus on indigenous communities Recipient of competitive international research funding
Dr. Jennifer Beer is a Professor in the Department of Psychology at the University of Texas at Austin, affiliated with the College of Liberal Arts. She holds roles in the Imaging Research Center and the Institute for Neuroscience. Her PhD is from the University of California, Berkeley. Her research focuses on social neuroscience, exploring self-processes, emotion regulation, and social cognition. Using methods like neuroimaging (fMRI) and behavioral observation, her lab investigates how self-perceptions and emotions influence social interactions. Recent work examines age-related dynamics in romantic relationships, linguistic patterns in social rejection, and the neural underpinnings of self-knowledge. Courses taught include advanced research methods and professional development in academic psychology. Her work emphasizes interdisciplinary approaches to understanding human social behavior. Research highlights include studies on emotional capital in marriage, the impact of apologies in rejection scenarios, and motivational biases in social evaluations. She advocates for open science practices and has contributed to discussions on reproducibility in psychological research. Her lab, the Self Regulation Lab, integrates cognitive neuroscience and behavioral science to address questions about self-regulation and social functioning. Publications span topics from conflict communication in aging couples to the role of medial prefrontal cortex in self-evaluation. While no specific awards are listed, her prolific output reflects sustained contributions to psychological science. Teaching responsibilities include seminars on grant writing and research ethics, emphasizing practical skills for academic careers.
Miriam Berg is an Associate Professor in the Journalism & Strategic Communication Program at Northwestern University Qatar. Her research focuses on media consumption patterns among Arab, refugee, migrant, and diasporic audiences, with notable attention to the transnational appeal of Turkish cultural products and their role in Turkish soft power. She holds a doctorate from the University of Westminster's School of Media and Communication, alongside a bachelor's in communication/audio-visual production and a master's in communication management. Educationally, she completed her PhD at the University of Westminster, followed by a master's and bachelor's degree in communication fields. Professionally, she has worked at Al Jazeera English and Bloomberg News, bringing practical media experience to her academic work. Her research explores themes such as digital media's role in refugee integration, information precarity faced by displaced populations, and the cultural dynamics of Turkish television's global reception. Berg’s publications include her 2023 book Turkish Drama Serials: The Importance and Influence of a Globally Popular Television Phenomenon . Her work has been recognized with the 'Best Paper' award at the 2021 UTAS International Conference for her analysis of Qatari audience media selection. She advises the Qatari Culture Club at NU-Q and contributes to interdisciplinary research on media's societal impact. Her grants and advising efforts emphasize bridging academic research with real-world challenges, particularly in media access for marginalized groups. While not explicitly affiliated with specific labs, her research aligns with Northwestern Qatar's focus on media and communication in the Global South.
Aurore Patricia Mroz serves as Associate Professor of French in the Department of French and Italian at the University of Illinois, holding key administrative roles including Director of Graduate Studies, Graduate Program Advisor for the Second Language Acquisition Teacher Education (SLATE) program, Director of French Around the Corner, and Co-Director of a Center of Excellence. Her academic credentials include a Ph.D. and M.A. in Foreign Language and ESL Education from The University of Iowa, and an M.A. in Rhetorics of Arts from Université de Pau et des Pays de l'Adour (France). Dr. Mroz's research investigates the nexus of mobile technology and language acquisition, with particular focus on study abroad contexts. Her work employs mixed methods and complex dynamic systems theory to examine smartphone impacts on language proficiency development, social attachment, and crisis management during international experiences. Key areas include phonetics of French, language justice, and computer-assisted language learning. Recent publications demonstrate consistent thematic focus on mobile technology's role in mediating language learning outcomes and social dynamics during study abroad, with methodological emphasis on longitudinal case studies and microgenetic analysis. Her scholarly contributions have been recognized through: ACTFL-NFMLTA/MLJ Emma Marie Birkmaier Award for Doctoral Dissertation Research in World Language Education (2013) ACTFL Research Priorities Award (2019) MwALT Graduate Student Presentation Award (2011) As Graduate Program Advisor for French SLATE, Dr. Mroz oversees student training while directing outreach initiatives like French Around the Corner. Her leadership in the Center of Excellence supports interdisciplinary research in language education and technology integration.
Dr. Reza Argha is a Lecturer at the Graduate School of Biomedical Engineering, UNSW, Sydney. His research focuses on AI-driven biomedical signal processing, machine learning, and digital health. He holds a PhD from UTS (2017), with earlier degrees from Shiraz University, Iran. His work includes developing algorithms for fall detection, blood pressure estimation, and ECG-based cardiovascular diagnostics. Education: BSc and MSc in Electrical Engineering, Shiraz University (Iran) PhD in Biomedical Engineering, University of Technology Sydney (2017) Research Interests: AI in healthcare, biomedical signal/image processing, telehealth systems, fall detection using mmWave radar, non-invasive blood pressure monitoring, and arrhythmia detection via ECG. Grants & Awards: ARC Research Hub for Connected Sensors for Health ($5M) ARC Industrial Transformation Research Hubs Multiple CVMM Collaborative Grants (2023-2024) Awarded 2017 UTS Chancellor’s Best PhD Thesis UTS FEIT Research Publication Awards (2014-2015) Teaching & Supervision: Teaches Biological Signal Analysis (BIOM9621) and Engineering Projects (ENGG2600). Supervises 6 current PhD students, with 1 successful completion. Seeks new students in digital health, AI clinical decision support, and radar-based fall prediction. Labs & Projects: Leads projects in mmWave radar for unobtrusive elderly monitoring, AI for blood pressure estimation, and deep learning for medical image analysis. Collaborates with industry partners on translational health tech solutions.
Hynek Wichterle is a Professor holding joint appointments in the Departments of Pathology & Cell Biology, Neuroscience (in Neurology), and Rehabilitation and Regenerative Medicine at Columbia University Medical Center. He serves as Co-Director of the Columbia Stem Cell Initiative and Vice-Chief of the Division of Regenerative Medicine in the Department of Rehabilitation & Regenerative Medicine. He also holds the administrative title of Co-Director of the Motor Neuron Center. Dr. Wichterle received his M.S. degree from Charles University in Prague and his Ph.D. degree from The Rockefeller University. He trained at Columbia University, where he became an assistant professor in 2004 and associate professor in 2012 before achieving his current professorship. Wichterle's research focuses on modeling nervous system development in vitro using stem cell technologies. His laboratory has pioneered efficient methods for differentiating pluripotent embryonic stem cells into specific subtypes of spinal motor neurons and interneurons. His work combines stem cell differentiation with CRISPR-based genome editing and inducible transgene expression to decode transcriptional programs controlling neural development. A major focus of his research involves using both mouse and human pluripotent stem cells to model motor neuron degenerative diseases like amyotrophic lateral sclerosis (ALS), with the goal of discovering new neuroprotective drugs. Analysis of his recent publications reveals a consistent focus on developmental neuroscience, stem cell biology, and neurodegenerative disease modeling. His work spans molecular mechanisms of neuronal specification, chromatin regulation, and therapeutic applications for motor neuron diseases. Over time, his research has evolved from foundational work on motor neuron differentiation to increasingly sophisticated models of disease mechanisms and drug discovery approaches. Dr. Wichterle has made significant contributions to understanding the transcriptional programs that control motor neuron identity and function. His laboratory has assembled global maps of genomic regulatory elements controlling motor neuron expression programs, effectively decoding the 'syntax and grammar' of the transcription factor language that specifies neuronal cell identity during embryonic development. His research program benefits from extensive collaborations across multiple disciplines, including molecular biology, genomics, and therapeutic development. The laboratory's unique stem cell-based screening platforms have enabled the identification of compounds that protect motor neurons from degeneration, bridging basic science with potential clinical applications for ALS and related disorders.
Marco Torchiano is a full professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino, Italy, and a Senior Member of the IEEE. His research focuses on green software, UI testing methods, open-data quality, and software modeling notations, employing empirical software engineering methodologies. Current academic affiliation: Professor at Politecnico di Torino Research interests: Software Engineering, Empirical Studies, Software Testing, Software Modeling, Data Quality, Data Visualization His recent work explores gamification in testing frameworks (GAppium, GERRY), accessible development tools (VS Code extension), and Android GUI testing challenges (multi-device robustness, widget layout analysis). He has also published on UML modeling with LLMs and Kotlin's impact on Android code maintainability. Contact: marco.torchiano@polito.it . Social media: Twitter @mtorchiano , Mastodon @mtorchiano@mastodon.uno .
Hironori Washizaki is a Professor at Waseda University 's School of Fundamental Science and Engineering and a Visiting Professor at the National Institute of Informatics. He serves as IEEE Computer Society 2025 President and has led initiatives in software engineering, ML design patterns, and IoT systems. His work bridges academia and industry through roles at SYSTEM INFORMATION CO.,LTD. and eXmotion Co., LTD. Research Interests: His work spans software engineering, quality assurance, ML/IoT design patterns, and education innovation. He leads the SmartSE professional education program and standardizes software engineering bodies of knowledge through ISO/IEC/JTC1/SC7/WG20 . Scientific Awards: Golden Core Member (IEEE CS) Spirit of Computer Society Award KDDI Foundation Award Science and Technology Award, MEXT Best Paper Awards at ICSE, CSEE&T, and IWESEP Leadership & Grants: He has secured major grants (JSPS, MEXT) and held editorial roles at IEEE Transactions on Emerging Topics in Computing, IJSEKE, and IEICE journals. As IEEE CS Japan Chapter Chair and SEMAT Japan Chapter Chair , he fosters international collaborations. Labs & Teams: He leads the Global Software Engineering Laboratory at Waseda, focusing on traceability, reuse, and quality. This lab drives projects like ProMeTA (program metamodel taxonomy) and Trace ANY (software maintenance metrics).
Michael L. Collard is an Assistant Professor of Computer Science at the Department of Computer Science , Buchtel College of Arts and Sciences , The University of Akron . He teaches courses in iOS Development and Software Engineering , focusing on modern programming languages like Swift and Objective-C. Research Interests: His work centers on software engineering , source code analysis , and iOS development . Key areas include forward static slicing, code stereotyping, traceability, and tools like srcML for mixed-language software infrastructure. Publications: Recent publications address scalable static slicing ( srcSlice ), source code modeling with XML, stereotype-based feature location, and tools for software visualization. Awards: Recipient of NSF grants (CISE CRI 2013, REU Supplement 2013) and the Most Influential Paper Award at ICPC'13 for his 2003 work on C++ fact extraction. Students: Mentored undergraduate researcher Brian Kovacs through NSF-funded REU. Labs: Cofounder of SDML, LLC , commercializing research tools for source code analysis.
Dr. Jonathan I. Maletic is a Professor in the Department of Computer Science at Kent State University , where he has been since 2001. He served as Interim Chair in 2010 and has a secondary role as Principal at srcML LLC , providing software solutions for code analysis. Education: Ph.D. in Computer Science from Wayne State University (1995) M.S. in Computer Science from Wayne State University (1989) B.S. in Computer Science from University of Michigan-Flint (1985) His research spans software evolution , program comprehension , software visualization , and eye tracking studies . He is a leading figure in the srcML and iTrace projects. Recent publications focus on quantum programming analysis , code naming semantics , and eye-tracking data correction . Notable trends include the integration of NLP in code analysis and quantum software engineering . Scientific Awards: Kent State President’s Faculty Excellence Award (2025) Most Influential Paper at SCAM (2021) Kent State Outstanding Research Award (2021) IEEE TCSE Distinguished Paper (2020) Mining Software Repositories Foundational Contribution (2020) Dr. Maletic has advised 40+ graduate students , including Ph.D. and M.S. candidates, with notable alumni in academia and industry. He has secured multiple NSF grants for projects like srcDiff.org (2023, $750K) and expanding srcML language support (2020, $652K). He leads the Software Development Laboratory (SDML) and iTrace teams, fostering collaborative research in code analysis and eye-tracking infrastructure.
Sandra Greiner is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where she conducts research in artificial intelligence, cybersecurity, and programming languages. Her work is centered on improving the reliability and adaptability of control software in cyber-physical production systems through advanced software engineering techniques. Her research interests include software variability modeling , design by contract , and the application of generative AI in automating software development tasks. She focuses on ensuring high reliability in software-intensive systems, particularly in industrial automation contexts. Her work bridges theoretical computer science with practical software engineering challenges. The recent publications highlight a strong trend in leveraging AI for software contract generation, enhancing feature tracing with reliable knowledge, and managing variability in complex production systems. Her research contributes to model-driven engineering, software product lines, and intelligent software assistance, with a consistent emphasis on empirical validation through case studies. Sandra actively collaborates with researchers across Europe, particularly in Austria and Germany, contributing to top-tier conferences such as SPLC, MODELS, and GPCE. Her work has been published in high-impact journals and conference proceedings, reflecting active engagement in the global software engineering community. She is affiliated with the IMADA research center at SDU, as evidenced by her institutional email. No formal awards or fellowships are mentioned in the provided data. Sandra advises no publicly listed students, and there is no indication of lab leadership or team management in the text. However, her collaborative publications suggest participation in research teams focused on software product lines and AI-driven software engineering.
Miguel Monteiro is an Assistant Professor at the Department of Informatics (DI) within the Faculty of Sciences and Technology (FCT) at New University of Lisbon (UNL) since 2006. He is affiliated with the research groups NOVA-LINCS (formerly CITI) and QUASAR . Research Interests: His work focuses on Software Engineering , particularly in Software Modularity , Aspect-Oriented Software Development (AOSD), and Program Reengineering and Evolution . He has extensively studied modularity challenges in MATLAB systems and developed techniques for aspect-oriented refactoring. Notable Projects: Funded by Portuguese Science and Technology Foundation (FCT) and international bodies, his projects include: GasPar (2010-2013): General-purpose AOSD framework for heterogeneous multicore parallel systems. AMADEUS (2007-2010): Aspect-oriented optimizations for MATLAB development. PRIA (2009-2011): International collaboration with University of Texas at Austin on parallel programming. PPC-VM (2004-2007): Portable parallel computing via virtual machines. SOFTAS (2005-2008): Aspect-oriented software development research. Academic Contributions: His research spans aspect-oriented refactoring, code smells, software visualization, and domain-specific languages. He has published in journals like Journal of Computer Languages , Expert Systems , and Scientometrics , and presented at conferences including AOSD, ICEIS, and ITNG.
Dr. Qingping Yang is a Reader (Associate Professor) in the Department of Mechanical and Aerospace Engineering at Brunel University London, affiliated with the College of Engineering, Design and Physical Sciences. He directs the Brunel Quality Engineering and Smart Technology (QUEST) and Robotics and Automation Research Groups, focusing on sensor systems, AI, and industrial metrology. Education: PhD in Engineering, Brunel University London (1992) BEng in Instrumentation and Measurement Technology, Chengdu Aeronautical Polytechnic (1983) Research Interests: Dr. Yang integrates measurement systems, quality engineering, and smart technologies (AI/robotics). His work spans industrial metrology, IoT-driven manufacturing optimization, renewable energy forecasting, medical diagnostics, and autonomous inspection systems. Key methodologies include machine learning, Bayesian risk modeling, and non-destructive evaluation. Publication Trends: Recent articles emphasize AI applications in manufacturing (defect detection, robotic path planning), IoT-based monitoring (3D printing, building safety), and healthcare analytics (COVID-19 diagnosis). Methodological innovations include graph theory optimization, computer vision, and ontology-driven quality frameworks. Awards: Three Brunel University Performance Bonuses Marquis Who's Who in the World (1998) Marquis Who's Who in Science and Engineering (2000) Advising & Grants: Supervised 39+ PhD/MPhil students (23 as primary supervisor). Secured £2.7M as PI and £1.2M as Co-I across 18 projects (EU/UK industry/government-funded). Current PhD projects include AI for non-destructive testing and sustainable manufacturing. Leadership: Heads QUEST and Robotics research groups. Former EU research coordinator and MSc program director. Editor-in-Chief of the International Journal of Metrology and Quality Engineering .
