Stavros Sintos is an Assistant Professor in the Department of Computer Science at the University of Illinois at Chicago (UIC). He joined UIC after a postdoctoral fellowship at the University of Chicago, where he was part of the ChiData group under Sanjay Krishnan. He earned his Ph.D. in Computer Science from Duke University in 2020, advised by Pankaj K. Agarwal. His research focuses on designing efficient algorithms for databases, data mining, and computational geometry . Key themes include: Theoretical guarantees for practical problems Compact indexing structures for query efficiency Geometric optimization combined with database systems Fairness in algorithmic design (e.g., Fair Set Cover, FairHash) Temporal data analysis and dynamic query processing Notable scientific contributions include a Best Paper Award at ICDT 2024 for work on range entropy queries. His publications span top venues like SIGMOD, PODS, VLDB, and SODA, covering areas such as clustering algorithms, synthetic query witnesses, and temporal join optimizations.
Xiaobo Li is a Professor in the Department of Bio-Medical Engineering at New Jersey Institute of Technology. Holding a Ph.D. in Computer Aided Geometric Design from the University of Birmingham and a B.S. in Automation from Nanjing University of Aeronautics, their research bridges computational methods with neuroimaging and psychiatric disorder analysis. Ph.D., University of Birmingham (Computer Aided Geometric Design, 2004) B.S., Nanjing University of Aeronautics (Automation, 1999) Dr. Li’s work focuses on applying machine learning and graph theory to understand brain network abnormalities in conditions like ADHD , schizophrenia , and traumatic brain injury . Their studies analyze structural-functional connectivity , reward processing , and gut-brain axis interactions using fMRI , fNIRS , and diffusion tensor imaging . Recent publications highlight their development of tools like the GAT-FD MATLAB toolbox for brain network analysis and their exploration of multimodal MRI in schizophrenia diagnosis. They also investigate the neurobiological effects of photobiomodulation and vision therapy interventions.
Sonia A. Fahmy is a Professor of Computer Science and Associate Department Head at Purdue University's Department of Computer Science (College of Science). She holds a PhD from The Ohio State University (1999). Her research focuses on network architectures, protocols, and security, with over 100 refereed publications. Key areas include virtual reality networking, cellular network optimization, and network experimentation tools like NFV-VITAL and ENVI. Her work is supported by NSF, DHS, industry partners, and she leads Purdue's CERIAS cybersecurity initiatives. Education: PhD in Computer and Information Science from The Ohio State University (1999). Research Interests: Network security, distributed systems, wireless sensor networks, and network function virtualization. Notable contributions include the HEED clustering algorithm and Contain-ed latency management system. Awards: NSF CAREER Award (2003), IEEE Fellow. Grants: NSF, DHS, AT&T, Cisco, Juniper, and Meta-funded projects. Professional service includes leadership roles in IEEE ICNP, INFOCOM, and editorial roles in top journals. Advising: Mentored over 20 PhD students and postdocs. Current advisees include Umakant Kulkarni and Yufeng Chen. Research teams collaborate with industry partners like Hewlett-Packard and Sandia National Labs. Labs/Teams: Active in Purdue's CERIAS, leading projects on secure network protocols and experimentation frameworks. Tools developed include EMIST, Testbed Mapping, and iHEED for sensor networks.
Niall Kirkwood is the Charles Eliot Professor of Landscape Architecture at Harvard University's Graduate School of Design (GSD), where he has been a faculty member since 1991. He holds concurrent roles as Deputy Editor-in-Chief of Landscape Architecture Journal and is affiliated with institutions worldwide, including Tsinghua University and Chulalongkorn University. His research focuses on post-industrial landscape regeneration, brownfield remediation, and climate-resilient urban design. Education: BArch from University of Manchester (UK), MLA from University of Pennsylvania (USA), and honorary doctorates from Harvard and University of Ulster (2009). Research interests emphasize innovative technologies for polluted land remediation, environmental justice, and the intersection of design with ecological systems. Notable projects include the Tar Creek Superfund Site regeneration, DMZ reclamation in Korea, and brownfield revitalization in Mumbai. Publications include influential works like Principles of Brownfield Regeneration (2010) and PHYTO: Site Remediation and Landscape Design (2015). Awards include AAAS membership (2024) and FASLA fellowship (2009). Teaching spans design studios addressing global challenges like Bangkok's climate resilience and Ireland's urban transformation. He led GSD's Academic Affairs as Associate Dean (2019-2024) and founded the Center for Brownfield Research at Tsinghua University. Labs/Initiatives: Co-founded the Center for Brownfield Research (Tsinghua), directed the Center for Environment and Technology (GSD 1997-2017), and collaborates with the Harvard Global Health Institute.
Mahdi Hosseini is an Associate Professor of Electrical and Computer Engineering at Northwestern University, affiliated with the McCormick School of Engineering. His research focuses on quantum optics, nanophotonics, and quantum communication, emphasizing light-matter interactions in materials like rare-earth crystals and nano-photonic structures. He leads the Hosseini Lab @ NU, which explores quantum sensing, imaging, and communication applications. Education: B.Sc. in Physics from the University of Science and Technology (Tehran, Iran), M.Sc. from the University of Louisville (USA), and Ph.D. from the Australian National University (Canberra, Australia). Research Interests: Quantum Optics, Nanophotonics, Quantum Materials, Quantum Communication, and Quantum Sensing. Current projects include cooperative light-ion interactions in photonic structures, quantum light storage, and enhanced sensing using optomechanical systems. Recent work highlights advancements in quantum optical storage, acoustofluidic bio-nanoparticle analysis, and educational initiatives like the Quantum Game Club. The lab actively seeks postdoctoral researchers and Ph.D. students with expertise in quantum optics and sensing. Labs/Teams: Hosseini Lab @ NU specializes in quantum atom optics and collaborates with IQPARC for quantum education and technology development.
Mónica González Ybarra is an Assistant Professor in both the Department of Curriculum and Instruction and the Department of Latina/Latino Studies at the University of Illinois at Urbana-Champaign. Her research focuses on centering Chicanx/Latinx communities' linguistic and cultural knowledge in educational spaces, particularly through community-based pedagogies and youth participatory action research. She earned her B.A. in Latina/Latino Studies and Spanish from the University of Illinois (2011), M.A. from the University of Utah (2013), and Ph.D. from the University of Colorado Boulder (2018). Dr. González Ybarra’s work emphasizes the intersection of education, race, and language, advocating for transformative educational practices that honor students' home and community knowledge. Her research explores topics such as translanguaging, resistant pedagogies, and the role of 'chisme' (gossip) as a literacy tool for marginalized girls. She has received awards including the Cultivating New Voices Fellowship (NCTE) and AERA Minority Dissertation Fellowship. Awards: Cultivating New Voices Fellow (NCTE), AERA Minority Dissertation Fellowship Research Focus: Bilingual education, sociopolitical navigation, community literacies Teaching: Prepares bilingual teachers to integrate homeplace knowledge into curricula Her recent publications analyze Latinx youth agency, linguistic expertise, and feminist pedagogies, with a focus on creating equitable educational spaces for communities of color. She collaborates with after-school programs and pre-service teachers to reimagine literacy and leadership frameworks.
David A. Gallo is a Professor at the University of Chicago, affiliated with the Department of Psychology. He joined the faculty in 2005 after completing a B.A. at Wesleyan University (1997), a Ph.D. at Washington University in St. Louis (2002), and an NIH-sponsored postdoctoral fellowship at Harvard University. His research focuses on neurocognitive processes of human memory, particularly memory accuracy, distortion, aging effects, and Alzheimer’s disease. He explores how memory is actively reconstructed and influenced by contextual and pharmacological factors. Key research interests include metacognitive and nonconscious processes, cognitive neuroscience, and evolutionary psychology. He investigates how stereotypes, psychoactive drugs, and contextual cues affect memory accuracy and monitoring. His lab, the Memory Research Lab, employs neuroimaging, behavioral experiments, and pharmacological interventions to study these phenomena. His recent articles highlight studies on transcranial direct current stimulation (tDCS), contextual reinstatement effects, and drug-induced memory modulation. He emphasizes the role of distinctiveness in reducing memory errors and examines the neural mechanisms underlying retrieval monitoring. His work spans developmental, clinical, and applied domains, with implications for aging populations and cognitive health. Gallo teaches courses such as Cognitive Neuroscience of Aging and Evolutionary Psychology, integrating empirical research with theoretical frameworks. His contributions bridge basic science and clinical applications, addressing challenges in memory disorders and cognitive enhancement strategies.
Dr. Sie Teng Soh is an Associate Professor at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences. With qualifications including a PhD from Louisiana State University, he specializes in computer networks, wireless systems, and algorithm design. Research focuses on: Network topology optimization for UAV systems Energy-efficient IoT task scheduling Reliable wireless communication protocols Game-theoretic network management Green computing in software-defined networks Publication trends show advancing work in UAV network optimization, with recent articles addressing max-min rate optimization, energy harvesting in IIoT, and machine learning approaches for coverage prediction. His research consistently addresses practical challenges in wireless network deployment under real-world constraints. Teaching areas include advanced courses in network reliability and traffic engineering. Professional service includes editorial roles for IEEE Transactions on Parallel and Distributed Systems and program committee memberships for major conferences including FAST and EuroSys.
Semin Park is an Assistant Professor in the Management and Organization department at the Smeal College of Business, Pennsylvania State University. Her research focuses on relational dynamics within and between teams, employing a social network perspective to analyze longitudinal changes in work collectives across diverse contexts such as emergency response systems and organizational teams. Education: PhD in Management, University of Connecticut (2019) MSc in Management, Seoul National University (2013) BBA in Business Administration, Seoul National University (2011) Research Interests: Dr. Park investigates team dynamics using network analysis to explore conflict resolution, leadership transitions, and collective behavior. She emphasizes structural elements of multi-team systems, emergency response configurations, and the application of big data methods for organizational insights. Her work bridges theoretical frameworks with practical solutions for improving team performance and workplace safety. Publications Trends: Her most recent articles (2020–2024) emphasize network-based approaches to team conflict, leadership transitions in crises, and dynamic constructs in organizational settings. Earlier work (2012–2018) includes foundational studies on team creativity, peer evaluations, and historical evolution of work teams. Affiliations & Resources: She is affiliated with Penn State’s Smeal College and maintains an active Google Scholar profile. No grants or awards are explicitly listed in the provided texts.
Dr. Alexander Mantzaris is an Associate Professor in the Department of Statistics & Data Science at the University of Central Florida, College of Sciences. His research bridges physics and sociology through Social Physics frameworks, focusing on statistical mechanics and thermodynamic analogies to model social phenomena. Current research explores criticality points in social systems Developing computational tools for NLP and big data Former work on Graph Convolutional Networks in social analysis Specializes in entropy-based modeling of polarization and segregation His publications emphasize interdisciplinary approaches combining network science, computational modeling, and sociological dynamics. Recent articles address thermodynamic formulations of political cycles, energy states in Schelling models, and memory-efficient data processing algorithms. Dr. Mantzaris teaches graduate courses in big data analytics and statistical learning theory. He maintains active research in computational social science with applications to political dynamics, media influence, and complex systems analysis.
Brian Greenspan is an Associate Professor in the Department of English Language and Literature at Carleton University, within the Faculty of Arts and Social Sciences. His research focuses on digital humanities, utopian studies, and new narrative media, particularly exploring intersections between print narratives and emerging technologies like hypertext, video games, and augmented reality. Greenspan co-developed the StoryTrek locative media system, used for creating spatial storytelling projects that merge urban geography with fictional and historical narratives. He holds a Ph.D. from the University of Toronto and has received multiple grants including SSHRC Partnership Grants (2015-18), a Leverhulme International Research Network Grant (2014-16), and a Teaching Achievement Award (2017). His work emphasizes speculative archives and the ethical implications of digital media in cultural preservation and future imaginaries. Greenspan collaborates extensively with institutions like Carleton’s Hyperlab and has delivered keynote lectures globally, including at the Digital Humanities Summer Institute and the Canadian Game Studies Association. His research integrates interdisciplinary approaches to spatial narratives, wearable media, and critical utopian theory. Current projects involve mapping fictional cityscapes onto real urban environments to explore alternate historical and speculative futures. As a supervisor, Greenspan guides doctoral students in areas like digital games, cultural mediations, and narrative transformation. His grants include collaborations on infrastructure development, animation archives, and the political economy of digital games.
Ronald D. Haynes is a Full Professor and Chair of Scientific Computing Graduate Programs in the Department of Mathematics and Statistics at Memorial University of Newfoundland. He leads research in numerical methods for PDEs and industrial-scale optimization problems. His work develops advanced domain decomposition techniques, adaptive mesh methods, and parallel computing approaches for solving complex physical systems. Applications include modeling pitting corrosion of materials, predicting rock strength for drilling optimization, and simulating multiphase fluid flows in porous media. Recent publications demonstrate innovations in mesh adaptation, parallel algorithms, and machine learning applications for industrial problems. Collaborative projects have addressed reservoir simulation, drill bit analysis, and corrosion prediction through integrated computational approaches. Professor Haynes has received the President's Award for Outstanding Research (2018) and Dean of Science Distinguished Teaching Award (2017). He serves as Co-editor-in-chief of the CAIMS Mathematics in Science and Industry Journal and was President-Elect of the Canadian Applied and Industrial Mathematics Society (2023-2025). He maintains active doctoral supervision with current research groups focusing on domain decomposition methods, closest point algorithms, and optimization techniques. Industry partnerships include projects with ExxonMobil and Global Maritime addressing drilling optimization and mooring design challenges.
Denise Ranghetti do Pilar is a Professor of UX Design at Savannah College of Art and Design (SCAD) in Savannah, GA, since 2022. Her academic background includes a Postgraduate Certificate in Applied Positive Psychology and a Ph.D. in Psychology from Pontificia Universidade Catolica do Rio Grande do Sul, and a B.S. in Computer Science from Catholic University of Louvain. Her research focuses on User Experience Design and User Experience Research , with specific interests in UX strategy, design thinking, UX metrics, and user research methodologies. She has taught at multiple institutions including Product Arena, UFRGS, UniRitter, and Feevale. Professionally, she has served as Staff User Experience Researcher at Nubank and User Experience Lead at SAP Labs Latin America. She is affiliated with professional organizations BayCHI and AnthtroDesign.
Catherine Marler is a Professor in the Department of Psychology at the University of Wisconsin-Madison, where she leads the Marler Lab focused on the Biology of Brain and Behavior. Her research program investigates the intricate connections between endocrine systems and social behaviors, with particular emphasis on how hormones like testosterone and oxytocin shape complex social interactions in monogamous mammals. Dr. Marler's research primarily utilizes the California mouse (Peromyscus californicus) as a model organism, capitalizing on its unique monogamous, biparental, and territorial nature. Her work spans both laboratory and field settings, allowing for comprehensive investigation of neuroendocrine mechanisms in naturalistic contexts. Key research themes include the role of testosterone in territorial behavior and winner effects, oxytocin's influence on pair bonding and parental behavior, and the neural substrates of ultrasonic vocalizations. Recent publications reveal a strong focus on conditioned place preferences related to testosterone pulses, oxytocin's effects on social behaviors across different developmental stages, and the neuroendocrine mechanisms underlying aggression and pair bonding. Her work demonstrates how social experience, environmental context, and endocrine systems interact to shape complex behavioral outcomes, with particular attention to sex differences and transgenerational transmission of behaviors. Dr. Marler has published extensively in top journals including Hormones and Behavior, Proceedings of the Royal Society, and Animal Behaviour, with her most recent work appearing in high-impact venues throughout 2023-2025. Her research program represents a sophisticated integration of behavioral observation, endocrine manipulation, and neural analysis to unravel the mechanisms underlying social behavior in mammals. As an advisor, Dr. Marler mentors students in behavioral neuroscience and endocrinology, fostering research that bridges laboratory and field approaches to understand the evolution and mechanisms of social behavior. Her lab maintains a strong commitment to rigorous scientific methodology and innovative experimental design in the study of neuroendocrine-behavior relationships.
Thomas S. Dee is the Barnett Family Professor at Stanford University's Graduate School of Education (GSE), a Research Associate at the National Bureau of Economic Research (NBER), a Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR), and a Senior Fellow (Joint) at the Hoover Institution. He serves as the Faculty Director of the John W. Gardner Center for Youth and Their Communities and holds multiple administrative appointments including Member of the Executive Committee of Stanford's Public Policy Program. Professor Dee's research focuses on the use of quantitative methods to inform contemporary issues of public policy and practice, with particular emphasis on education policy, economics of education, and program evaluation. His work spans critical areas including pandemic education effects, chronic absenteeism, school choice, educational equity, STEM education, and research methodology. He has made significant contributions to understanding how quantitative analysis can shape effective educational policy and practice. Dee's recent publications reveal a strong focus on pandemic-related educational disruptions, examining issues like chronic absenteeism, enrollment declines, and school reopening preferences. His research demonstrates expertise in quasi-experimental methods and has increasingly addressed questions of educational equity, particularly regarding underrepresented students in STEM fields. His 2025 work on Advanced Placement computer science shows how course design can broaden participation among female and minority students. Outstanding Public Communication of Education Research Award, American Educational Research Association (2024) Peter H. Rossi Award for Contributions to the Theory or Practice of Program Evaluation, Association for Public Policy Analysis and Management (2024) Research-Practice Partnership Award (co-recipient), California Educational Research Association (2023) Community Outcomes and Impact Award, International Association for Research on Service Learning and Community Engagement (2020) Raymond Vernon Memorial Award, Association for Public Policy Analysis and Management (2019) Raymond Vernon Memorial Award, Association for Public Policy Analysis and Management (2015) Professor Dee actively contributes to academic discourse through editorial roles on journals including the American Educational Research Journal and Education Finance and Policy. His teaching portfolio includes advanced courses in quantitative policy analysis and quasi-experimental research design, reflecting his methodological expertise. While specific grant information isn't detailed in the provided text, his extensive publication record and leadership roles suggest significant research funding support. As Faculty Director of the John W. Gardner Center for Youth and Their Communities, Dee leads initiatives connecting Stanford with community organizations to address youth development challenges. His work bridges academic research with practical community applications, emphasizing the importance of research-practice partnerships in creating meaningful educational change.
