Irina Lyublinskaya is a Professor of Mathematics and Education at Teachers College, Columbia University. She is affiliated with the Mathematics, Science & Technology department and specializes in STEM education, mathematics education, and educational technology. Her research interests include teacher education, international education, and curriculum development. Lyublinskaya holds a Ph.D. and M.S. in Theoretical and Mathematical Physics from Leningrad State University (now St. Petersburg State University). Her scholarly work spans over three decades, with a focus on integrating technology into mathematics and science education. Notable contributions include co-authoring textbooks such as Geometry investigations with GeoGebra and Exploring precalculus with The Geometer’s Sketchpad . Her recent research emphasizes culturally responsive teaching, TPACK framework applications, and robotics integration in elementary education. Lyublinskaya’s publications explore topics like teacher professional development, special education technology competency, and cross-cultural STEM pedagogy. She has mentored students such as Xiang Du and Alyssa Kaplon-Schilis, who co-authored impactful studies on TPACK trajectories and culturally relevant mathematics tasks. Her work bridges theoretical research and practical classroom applications, advocating for innovative educational technologies.
Justus Bogner is a researcher at the Institute of Software Engineering (ISTE) and leads the division for Software Engineering for AI- & Microservice-Based Systems (SE4AI&MS) at the University of Stuttgart. His work focuses on empirical software engineering , microservices , AI-based systems , and software evolvability . He has contributed extensively to understanding architectural migration, technical debt in AI systems, and quality assurance methodologies. His research spans various subfields including service-oriented architecture , RESTful API design , design patterns , and software maintainability metrics . Recent publications highlight empirical comparisons between JavaScript and TypeScript, frameworks for microservice migration, and systematic studies on AI engineering challenges. Bogner's work often bridges academic research with industry practices through collaborations with IEEE and Springer, though no specific awards or student advisories are mentioned in the provided text.
Kapil Rajendra Kumar Tuli serves as the Lee Kong Chian Professor of Marketing and Deputy Dean (Research) at Singapore Management University's Lee Kong Chian School of Business, where he has held progressively senior faculty positions since 2006 including Assistant, Associate, and full Professor roles. His academic credentials include a Ph.D. in Marketing from Emory University (2006), M.S. in E-Commerce and Marketing from Texas A&M University (2002), PGDBA in Marketing and International Business from NMIMS (2000), and B.Sc in Chemistry from Mumbai University (1997). Tuli's research centers on Marketing Strategy, Customer Relationships, and the Financial Impact of Marketing, with seminal work on customer solutions frameworks and relational processes. His scholarship bridges theoretical marketing concepts with measurable business outcomes, particularly examining how marketing decisions influence shareholder value, investor perceptions, and long-term organizational performance across digital and traditional retail contexts. His publication trajectory reveals consistent contributions to top-tier marketing journals with increasing focus on digital transformation impacts, financial accountability of marketing actions, and cross-disciplinary connections between marketing strategy and corporate finance metrics. Major recognitions include multiple Journal of Marketing Outstanding Reviewer Awards (2016, 2018), the ISBM-David T. Wilson-Sheth Foundation Award (2018), Journal of Marketing Sheth Foundation Long Term Impact Award (2017), and the prestigious Varadarajan Award for Early Career Contributions (2016) – making him the first Asian business school faculty to receive this honor. As a research mentor, Tuli advises doctoral candidates including CHEUNG Pan (CKGSB-SMU DBA) and CHANG Xi Wen Jacqueline (Ph.D. in Business), and has secured significant research funding through awards like the Lee Kuan Yew Fellowship ($17,000) and Sing Lun Fellow grant ($15,000). He previously directed the Retail Centre of Excellence (2017-2023), leading industry-focused research on retail strategy and operations.
Kevin Sweet is an Assistant Professor of Design and Interactive Arts: Immersive Experience at the University of Texas at Dallas, affiliated with the Harry W. Bass Jr. School of Arts, Humanities, and Technology. His work bridges art, science, and technology to explore possibilities for social transformation through creative play. Sweet's practice spans digital media, performance, virtual reality, and community-based projects that address social justice issues and interdisciplinary collaboration. Education PhD in Emergent Technologies and Media Art Practices, University of Colorado Boulder (2022) MFA in Film/Video, Massachusetts College of Art and Design (2012) BA in Film Studies, Keene State College (2009) Research Focus Sweet's research centers on narrative refiguration through embodied creative play at intersections of art, science, and technology. His work explores how digital media can address systemic inequities, preserve cultural heritage, and create new communal storytelling forms. Recent projects focus on community media labs, ancestral land rights, and speculative methodologies challenging anthropocentric narratives. He investigates how virtual and augmented reality can be leveraged for social justice and community empowerment, as evidenced by his ongoing work with high school students in San Luis, Colorado. His practice demonstrates a commitment to using art and technology as tools for community engagement and historical preservation. Publication Trends Sweet's creative output shows a clear trajectory from traditional film and video toward increasingly complex interdisciplinary projects. His early work focused on material properties of analog media (like 'Intervals'), while recent projects integrate virtual reality, AI, and community-based practices. His publications reveal a pattern of ambitious cross-disciplinary collaborations, from partnerships with astrophysicists in 'Sound Planetarium' to community-based projects like 'La Sierra' addressing systemic inequities. There's a consistent evolution toward more socially engaged work addressing land rights, historical memory, and non-human agency. Professional Activities Faculty board member, UTD Student Media Operating Board President of the Board of Directors, Denver Digerati 501(c)(3) (2022-2024) Co-Principal Investigator, Sound Planetarium (astrophysics and art collaboration) Head of Creative Development, JoyceStick (VR adaptation of James Joyce's Ulysses) Former Director of Media, Guestbook Project (international peacebuilding organization) First Artist in Residence, Institute of Liberal Arts at Boston College Labs and Community Engagement Sweet has developed community media labs, partnering with History Colorado to build a local media lab in San Luis, Colorado. This initiative creates critical digital arts curriculum for high school students, empowering them to become authors of their community's history. His collaborative work involves interdisciplinary teams spanning artists, scientists, community organizers, and educators working on issues of land rights, historical memory, and cultural preservation.
Dr. Yi Qiao is a researcher in the Department of Biomedical Informatics at the University of Utah School of Medicine. His work focuses on integrating computational methods with genomic data to study cancer evolution, tumor subclonal dynamics, and precision oncology. Key contributions include developing tools like SubcloneSeeker, quickBAM, and Gene.iobio for analyzing genomic variants and clinical data. Education : PhD in Biomedical Informatics from Boston College BS from Zhejiang University Research Interests : Dr. Qiao's research bridges computational biology and clinical oncology. He develops innovative methods to dissect tumor heterogeneity using single-cell and bulk sequencing, with applications in drug response prediction and therapy selection. His work emphasizes understanding how subclonal populations evolve in cancers like leukemia and lung cancer, and how this informs targeted treatments. Key Projects : Framework for combining bulk DNA and single-cell RNA sequencing to study tumor expression (Genome Res, 2024) quickBAM API for high-throughput sequence analysis (Bioinformatics, 2023) ScreenDL deep learning model for drug response prediction (2024) Grants & Collaborations : His research is supported by collaborations with oncology teams and computational biology groups, focusing on translational applications of genomic data. Tools like Taxonomer and bam.iobio have advanced clinical diagnostics through real-time genomic analysis. Labs & Teams : He leads the Computational Oncology Lab, specializing in developing AI-driven tools for precision medicine. Active in cross-disciplinary teams at the University of Utah Health's cancer research initiatives.
Dr. PK Langshaw is a Full Professor in the Department of Design and Computation Arts at Concordia University's Faculty of Fine Arts, and a Fellow of the Loyola College for Diversity & Sustainability. With over three decades at Concordia University (1987-present), including chairing her department from 2001-2006 and 2015-2018, she leads the D_verse Lab which investigates poetic intersections of biophilic design, feminist technology critique, and sustainable innovation in media arts. MFA from Université de Québec Montréal (2002) Current research focuses on social design, textile materiality, and urban futures through projects like Wild Cities and Community Masks Her work spans textile fabrication , multimedia performance , and interdisciplinary sustainability , with recent projects including: 2023 In.site symposium on cross-disciplinary sustainability 2022 Community Masks project during pandemic 2022 Wild Cities book series for interspecies design 2022 Parachute garment transformations 2014-2016 Urban Reverse Dress studies Scientific recognition includes: 2013 Loyola College Fellowship 2005 Seed grant for arts-engineering collaboration 2003 FQRSC $153,750 team grant 2014 Outstanding Contribution to Student Life Award Mentoring 6+ CUSRA-funded students since 2016, she pioneered D_verse lab's sensor-controlled environments and Remove Before Flight garment series, while serving on Concordia Volunteer Abroad Board (2012-2016) and leading Faculty of Fine Arts' sustainability subcommittee (2017-2020) that shaped university-wide SDG implementation strategies.
Professor Jana Lasser holds a professorship in Data Analysis at the University of Graz, where she leads the Complex Social & Computational Systems research group at the interdisciplinary IDea_Lab. She serves as Associate Faculty at the Complexity Science Hub Vienna and previously held positions at Graz University of Technology as a Marie Curie Fellow and interim professor at RWTH Aachen. Her educational background includes a PhD in Physics from Georg-August-University Göttingen (2019), conducted at the Max Planck Institute for Dynamics and Self-Organization, with research on salt desert pattern formation. Her academic journey reflects a transition from geophysics to computational social science. Lasser's research centers on emergent phenomena in complex social systems, employing machine learning, natural language processing, and computational modeling. Key interests include misinformation spread on social media, counterspeech effectiveness, social media recommendation algorithms' societal impact, and the fracturing of societal understanding of honesty. Her work combines theoretical frameworks with real-world applications through agent-based simulations and large-scale text analysis. Her recent publications reveal strong thematic coherence across computational social science, with significant focus on political communication dynamics, platform governance, and methodological innovation. The 15 most recent works demonstrate increasing integration of computational methods with social theory, particularly in analyzing truth-concept evolution in political discourse and developing alternative social media architectures. ERC Starting Grant 101160928 DeSiRe for designing social media recommendation algorithms FWF standalone project P 37280-N on conspiracy theory spread netidee SCIENCE prize for digital civic innovation Marie Curie Fellowship for postdoctoral research Lasser actively supervises graduate students in computational social science, with current focus on topics related to her ERC-funded project. She leads the Survey Special Interest Group within the COST Action on Researcher Mental Health, conducting Europe's largest benchmark study on academic mental health. Her lab maintains strong collaborations with the Complexity Science Hub Vienna and international institutions.
Arvind Tripathi is an Associate Professor at the University of Kansas School of Business, specializing in the Analytics, Information, and Operations Academic Area. He holds a Ph.D. in Management of Information Systems from the University of Connecticut, along with degrees from Indian institutions. His research focuses on digital markets, online communities, open innovation, and social media, with interdisciplinary publications in top-tier journals like Management Information Systems Quarterly and Information Systems Research . He has held faculty roles at the University of Auckland and University of Washington, and was a Visiting Professor at Aalto University. Education: Ph.D. in Management of Information Systems (University of Connecticut) M.S. in Mechanical Engineering (Indian Institute of Technology, Kanpur) B.S. in Mechanical Engineering (University of Allahabad) Research interests span digital markets and platforms, online community dynamics, and the impact of social media on business strategies. His work integrates insights from information systems, marketing, and operations management to address contemporary challenges in digital ecosystems. His recent articles explore topics such as review helpfulness in e-commerce, crowdfunding strategies, and reputation systems in online transactions. These studies highlight trends in leveraging social media data for market analysis and optimizing platform engagement. No scientific awards are explicitly mentioned in the provided materials. Teaching focuses on business analytics, data mining, and IT in supply chain management. He has advised no listed students, and no grants are detailed here. His academic journey includes affiliations with multiple institutions, emphasizing cross-disciplinary research and global collaboration in information systems and digital markets.
Dr. Andrew Yang is an Associate Professor of Computer Science and Computer Information Systems at the University of Houston-Clear Lake's College of Science and Engineering. His research focuses on computer security, wireless and mobile computing, networking, performance measurement, and cybersecurity education. His publications demonstrate a consistent focus on cybersecurity challenges, educational frameworks, and emerging technologies. Recent work explores AI ethics, IoT security, blockchain applications, and cybersecurity workforce development, reflecting a pattern of addressing contemporary technological vulnerabilities through both technical solutions and pedagogical approaches.
Prof. Jesse Dinneen is an Assistant Professor in the Department of Information Science at Humboldt University of Berlin, affiliated with the Philosophische Fakultät. His work focuses on personal information management (PIM), AI ethics in libraries, and societal implications of information systems. Contact: Email | Phone: +49 30 2093-70957. Research Interests: Exploring ethical challenges in AI integration within libraries Analysis of digital file management behaviors across demographics Intersection of death studies and information management practices Evaluation of global research collaboration dynamics Development of PIM frameworks for creative professionals Key Contributions: Recent work includes critical analyses of neurodivergence research methodologies, AI ethics foresight tools, and longitudinal studies of international research partnerships. His 2024 Annual Review paper on death and information management has sparked interdisciplinary dialogue. Professional Activity: Active in library science policy discussions, particularly regarding EU AI regulation. Coordinates research on digital housekeeping and voice assistant interactions. Frequently presents at iSchools Caucus events. Labs/Teams: Leads the Information Behavior Research Group within the IBI institute, focusing on sociotechnical information systems analysis.
Marina Bosi is an Adjunct Professor at Stanford University's Department of Music and a prominent figure in audio engineering and standardization. Currently serving as Chief Technology Officer at MPEG LA, LLC, she has previously held leadership roles including Past-President of the Audio Engineering Society (AES). Education: Laurea (Doctorate) in Physics, University of Florence, Italy Diploma in Flute, National Conservatory of Florence, Italy Honor Diploma in Flute, Accademia Chigiana, Siena, Italy Thesis work with Giuseppe di Giugno at IRCAM, Paris, France Dr. Bosi's research focuses on perceptual audio coding, multichannel audio processing, and signal processing for audio applications. She has been instrumental in developing AI-based media coding standards and audio preservation technologies (ARP), with recent work exploring networked music performance over satellite networks and cross-continental remote collaboration systems. Her publications span foundational audio coding topics including: Psychoacoustic modeling and quantization techniques MDCT/PQMF filter bank design Dolby AC-3 and DAB/DVB multichannel audio coding Bit allocation strategies and quality measurement methods Scientific Awards: AES Board of Governors Award AES Fellowship Award ISO/IEC Special Contribution Award for MPEG-2 AAC development Accademia Nazionale dei Lincei recognition Bourse du Gouvernement Français As a patent holder and author of the seminal textbook Introduction to Digital Audio Coding and Standards , she has significantly shaped modern audio compression technologies. Her professional leadership extends to participation in standards organizations like ANSI, ASA, ATSC, DVB, DVD, ISO, IEC, IEEE, ITU, and SMPTE.
Sean Ahlquist is an Associate Professor of Architecture at the University of Michigan's Taubman College of Architecture and Urban Planning, where he serves as Director of the Master of Science in Digital Material Technologies (DMT) program. He leads the Lab for Socio-material Architectures and is a member of the Cluster in Computational Media and Interactive Systems, connecting architecture with material science, computer science, and performing arts technology. His research centers on developing malleable, sensory-responsive environments that foster social behavior for individuals with disabilities, particularly children with autism spectrum disorder. This work, inspired by his autistic daughter Ara, employs industrial knitting technologies and involves collaborations across disciplines including materials science, civil engineering, kinesiology, psychiatry, and behavioral science. His installations have been featured at the Venice Architecture Biennale, Lincoln Center's Big Umbrella Festival, and various educational and therapeutic settings. Ahlquist's publications and projects explore themes of inclusive design, computational material systems, and neurodiverse spatial experiences. His work demonstrates how architecture can leverage computational design and material technologies to create more inclusive spaces for underserved communities. ACADIA Innovative Research Award of Excellence (2020) Featured in ARCHITECT Magazine as Game Changer (2022) Recipient of U-M Sustainability Catalyst Grants (2024) Ahlquist teaches across all academic programs at Taubman College, from undergraduate to PhD levels. His students engage in multi-year collaborations with the Ann Arbor Center for Independent Living (AACIL), developing design methodologies that integrate disability theory with technical material fabrication skills. His work with the local Ann Arbor community includes partnerships with public schools, children's museums, and disability organizations to create inclusive environments that address real-world challenges.
Dr. Ilia Kuznetsov is a Senior Postdoctoral Researcher at the Ubiquitous Knowledge Processing Lab (UKP Lab) of the Technical University of Darmstadt. He coordinates the InterText group, focusing on cross-document NLP and AI-assisted peer review systems. His research emphasizes responsible AI, human-AI collaboration, and empirical approaches to AI evaluation. He co-leads the "Ethics for Natural Language Processing" course at TU Darmstadt and has advised numerous students in PhD and master’s programs. Education includes a Candidate of Sciences (Mathematical and Applied Linguistics) from Lomonosov Moscow State University and work at the Higher School of Economics, Russia. His PhD at TU Darmstadt explored "The Role of Linguistics in Probing Task Design" . Research interests span peer review automation, cross-document modeling, and interpretable NLP. Key projects include NLPeer (a peer review resource) and CARE (a collaborative AI-assisted reading environment). Recent work focuses on large-language model applications in citation generation and task design. Publications emphasize peer review analysis, document structure modeling, and probing tasks. He actively collaborates on interdisciplinary projects addressing AI ethics and scholarly communication challenges.
John W. Byers is a Professor in the Department of Computer Science at Boston University since 1999. He holds dual roles as Founding Chief Scientist and Board Member at Cogo Labs (founded in 2005 as Adverplex, Inc.), where he oversees technology platforms for online advertising and data science analytics. His research bridges theoretical computer networking with empirical studies of Internet platforms like Airbnb and Groupon. Education: Ph.D. in Computer Science from U.C. Berkeley. Research Focus: Byers explores algorithmic challenges in transport protocols, network architecture design, and the sharing economy's economic impacts. His work on platforms like Airbnb and Groupon examines reputation systems, user behavior, and market dynamics. Recent projects include liquid wireless networking for rural applications and optimizing ride-hailing fleet coordination. Publications: Over 50 peer-reviewed articles spanning network architecture (e.g., XIA), streaming systems (liquid transport protocols), and sharing economy analyses. Key themes include data-driven experimentation and cross-disciplinary solutions for evolving internet challenges. Industry Engagement: Cogo Labs incubates tech startups leveraging his research in algorithmic marketing and data analytics. Byers' work frequently bridges academia and industry, addressing real-world scalability and economic factors in digital ecosystems.
Prof. dr. Lambert Schomaker is a Full Professor of Artificial Intelligence at the University of Groningen, leading the Artificial Intelligence and Cognitive Engineering (ALICE) institute within the Faculty of Science and Engineering. His work spans perceptual intelligence, machine learning, and neuromorphic computing, with significant contributions to handwriting recognition, robotics, and historical document analysis. Affiliations: Bernoulli Institute, CogniGron (Cognitive Systems & Materials), and Data Science & Systems Complexity (DSSC) centers. Education: M.Sc. (1983) and Ph.D. (1991) in Psychophysiology/Psychology from Nijmegen University. Research Interests: AI, pattern recognition, neural networks, autonomous systems, and applications in cultural heritage (e.g., the MONK system for handwritten archive indexing). He has pioneered handwriting recognition methods used in modern devices like tablets and led the 30MEuro Target project for large-scale data mining. Grants & Projects: Includes NWO-funded initiatives (e.g., Catch, TriGraph) and EU projects (MANTIS, MANIC). Current focus areas include neuromorphic computing with electronic materials and AI-driven analysis of the Dead Sea Scrolls. Awards: IBM Faculty Awards (2011, 2012), IAPR Best Paper Award (2012), Ching Yee Suen Special Award (2012). Advising: Supervised over 20 PhD students in AI, robotics, and document analysis. Active in industry collaborations (e.g., HP, Microsoft). Labs/Teams: Director of ALICE, contributor to CogniGron, and leader of the MONK system team. Current research includes neuromorphic hardware development and AI applications in maintenance systems.
