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Hamza BashandyView profile

Assistant Professor

• Participatory Design
• Data-Driven Cities
• Digital Domesticity
• +12 more

Hamza Bashandy is an Assistant Professor at Carleton University's School of Information Technology , Faculty of Engineering and Design. He holds a PhD in Architecture and Urban Planning from the University of Liège, Belgium, funded by the Belgian National Fund for Scientific Research (FNRS). His work bridges urban issues with playful simulations through critical interaction design. PhD in Architecture & Urban Planning (University of Liège) Teaches Interactive & Multimedia Design undergrad and Digital Media grad programs SSHRC-funded research on crowd behavior datafication Active PhD/M.A.Sc. recruitment for co-design projects His research explores playful interventions in participatory urban design and social movement simulations , particularly focusing on: Datafication of crowd behavior Agent-based modeling in games Digital environments for political protests Geospatial data integration in game design Platform studies of protest-themed games Recent projects include: The Crowd Problem in Videogames (SSHRC-funded) Dis-Play Lab for Ludic Design and Spatial Play Simulation CTRL ALT RESIST exhibition participation (2025) Notable awards: Civil Society Scholar , Open Society Foundations (2021) FDG 2025 Honorable Mention in Game Design Track He actively mentors graduate students through: M.A.Sc. & PhD positions in Co-Design and Interactive Urban Play Research Assistant opportunities

Todd D. LittleView profile

Professor

• Structural Equation Modeling
• Developmental Psychology
• Methodology and Statistics
• +7 more

Todd D. Little is a Professor of Educational Psychology at Texas Tech University, internationally recognized for his work in structural equation modeling (SEM) and developmental psychology. His research spans applied methodology, action-control processes, motivation, coping, and self-regulation, with a focus on developmental trajectories and cross-cultural influences. Education: Ph.D., Developmental Psychology, University of California, Riverside (1988) B.A., English Literature, University of California, Riverside (1983) Little has pioneered innovations in SEM, including indicator selection, parceling, and modeling developmental processes. His substantive research explores motivational self-beliefs, school achievement, and the social-personality nexus in childhood and adolescence. He has authored over 280 publications, including the seminal Longitudinal Structural Equation Modeling (2013), and his work has received over 45,000 citations with an H-index of 95. His recent publications highlight methodological rigor in longitudinal analysis and practical applications in diverse fields. Topics include chronic wound healing, educational equity, coping during crises, and prevention science, reflecting his interdisciplinary impact. Scientific Awards and Leadership: Elected Member, Society for Multivariate Experimental Psychology (2001) President, APA Division 5 (Evaluation, Measurement, and Statistics) (2009) Little founded Stats Camps, an international training program in quantitative methods, and has served on review panels for NSF, NIH, and the Jacobs Foundation. He has led over 15 grants and consulted on 70+ projects, contributing to measurement tools like the CAMI and Multi-CAM.

Bahgat G. SammakiaView profile

Professor

• Heat Transfer
• Electronics Packaging
• Thermal Management of Data Centers
• +3 more

Bahgat G. Sammakia is a Distinguished Professor of Mechanical Engineering and Vice President for Research at Binghamton University (SUNY). He leads multiple research centers including S3IP (a NY State Center of Excellence), the Energy-Smart Electronic Systems (ES2) NSF IUCRC, and CHIRP (Center for Heterogeneous Integration Research in Packaging). His roles also include former interim President of SUNY Polytechnic Institute and former IBM senior technical staff member. Education: B.S. from the University of Alexandria, M.S. and Ph.D. from SUNY Buffalo. Post-doctoral fellowship at the University of Pennsylvania (1982–1983). Research focuses on heat transfer , electronics packaging , data center thermal management , and heterogeneous integration . He pioneered cooling solutions for high-density electronics and data centers, emphasizing energy efficiency and thermal reliability. Award highlights include the 2020 Heat Transfer Memorial Art Award (ASME), Fellowships in the National Academy of Inventors (2016), IEEE (2013), and ASME (1997). He holds 21 U.S. patents and over 250 peer-reviewed publications. Leadership in S3IP and CHIRP drives innovation in microelectronics and advanced packaging. His work bridges academic research with industry applications, addressing global challenges in semiconductor cooling and energy-smart systems.

John W. Gillespie Jr.View profile

Professor

• Composites & Advanced Materials
• Materials Engineering
• Processing-structure-property relationships
• +5 more

John W. Gillespie Jr. is the Donald C. Phillips Professor of Civil and Environmental Engineering at the University of Delaware, with joint appointments in Materials Science and Engineering and Mechanical Engineering. He leads four Centers of Excellence in composites research and directs the Center for Composite Materials. A global authority in composites, his work focuses on multifunctional materials, interphase science, and composites manufacturing. He has contributed over 800 publications and 19 patents, advising 56 Master’s and 38 Ph.D. students. Education: PhD, MS, BS in Mechanical/Aerospace Engineering from University of Delaware. Leadership: Served on National Research Council Board and National Materials Advisory Board. Research interests include processing-structure-property relationships, durability, and multi-scale modeling of composites. His work addresses real-world challenges in aerospace, defense, and microelectronics. Awards include the U.S. Army’s Paul A. Siple Memorial Award (1998), Jud Hall Composites Award (2000), and Fellowships from Society of Manufacturing Engineers (2013) and SAMPE (2015). Advising and grants: 38 doctoral graduates and over 60 industrial consortium partners. Active in editorial roles for Journal of Thermoplastic Composite Materials since 1993.

John Q. XiaoView profile

Professor

• Spintronics
• Magnetism in Materials
• High-Frequency Magnetic Materials
• +3 more

John Q. Xiao is the UNIDEL Professor of Physics & Astronomy at the University of Delaware's College of Arts & Sciences. His research focuses on spintronic devices, magnetism in nanostructured materials, metamaterials, and high-frequency magnetic materials. He is affiliated with the Physics & Astronomy department and has contributed to groundbreaking work on magnetic tunnel junctions, magnon dynamics, and terahertz spintronic systems. Xiao's work integrates experimental and theoretical approaches, often involving advanced characterization techniques like thin-film deposition and time-resolved spectroscopy. Research Areas: Spintronics, Magnetism, Metamaterials, Nanostructured Composites Affiliations: UNIDEL Professor role emphasizing interdisciplinary research His studies explore phenomena such as spin-polarized transport, ultrafast demagnetization, and magnon-photon interactions. Recent projects include developing flexible magnetic composites for microwave absorption and investigating quantum effects in layered materials like Fe5GeTe2. Xiao collaborates on projects involving advanced materials for high-frequency electronics and quantum sensing applications. Xiao’s publications span topics from topological insulators to nanomaterial synthesis, with a focus on practical applications in energy-efficient devices and electromagnetic systems. His work is supported by grants addressing spin-orbit torques, magnonics, and novel 2D materials.

• Compiler Design
• Computer Hardware
• Graphics Processing Unit (GPU)
• +3 more

Maria Jesus Garzaran is an Adjunct Associate Professor at the Siebel School of Computing and Data Science, University of Illinois. Her research focuses on compiler design, computer hardware architecture, parallel computing, and high-performance computing (HPC) systems. Key areas of expertise include GPU utilization, parallelization techniques, and network modeling for next-generation HPC infrastructure. Her work emphasizes optimizing communication protocols in distributed systems, minimizing hardware resource usage, and enhancing performance through innovative compiler and memory management strategies. Recent contributions include advancements in MPI-3 RMA implementations and JavaScript acceleration using hardware transactional memory. No scientific awards are explicitly mentioned. Research collaborations span network design exploration, triggered operations for collective communication, and structural simulation frameworks. Her advising and grant activities are not detailed in the provided text, though her publications suggest active involvement in HPC and parallel computing research projects. No specific lab affiliations are mentioned.

Giulia Di NunnoView profile

Professor

• Stochastic Analysis
• Financial Mathematics
• Risk Management
• +4 more

Giulia Di Nunno is a Professor in the Department of Mathematics at the University of Oslo, specializing in stochastic analysis and its applications to finance and risk management. She also holds an adjunct professorship at the Norwegian School of Economics (NHH). Her research focuses on stochastic calculus, control theory, financial modeling, and energy finance, with a particular interest in dynamic risk measures. She has led major projects like the STORM initiative on time-space risk models and is involved in interdisciplinary research on sustainability and energy markets. Di Nunno has served as President of the Scientific Council of CIMPA and is an associate editor for several prestigious journals, including Finance and Stochastics and Stochastics . Her work bridges theoretical advancements with practical applications in finance and energy sectors. Education: PhD in Mathematical Statistics (University of Pavia, 2003), Degree in Mathematics (University of Milan, 1998). Research Groups: Risk and Stochastics, STORE (completed). Key Projects: SURE-AI (AI-driven risk modeling), Unruly Sustainability (interdisciplinary research), STORM (ToppForsk project). Editorial Roles: Associate Editor for Finance and Stochastics , DEAF , FMF , and others. Her publications emphasize stochastic processes, volatility modeling, and risk measurement, with recent contributions on time-changed dynamics and applications to energy finance. She actively contributes to the international academic community through research networks like AMaMeF and ModSimFIE.

Maxim S. PchenitchnikovView profile

Professor

• Ultrafast Spectroscopy
• Molecular Dynamics
• Exciton Physics
• +3 more

Maxim S. Pchenitchnikov is Professor of Physics at the University of Groningen's Faculty of Science and Engineering, leading the Optical Condensed Matter Physics group within the Department of Physics. He joined the university in 1996 after completing his PhD at Moscow State University, transitioning from the Chemistry Department to Physics in 2006. His research focuses on ultrafast phenomena in organic materials at nanoscopic scales and femtosecond timeframes, with particular emphasis on exciton dynamics, molecular motors, and photon echo techniques. Pchenitchnikov's work bridges physics, chemistry, and materials science to develop advanced spectroscopic methods for studying energy transfer processes in complex molecular systems. His laboratory specializes in designing experiments that capture molecular dynamics occurring in quadrillionths of a second. Analysis of his 15 most recent publications reveals a strong trend toward biomimetic light-harvesting systems, molecular nanotube assembly, and dual-function molecular motors. His research increasingly integrates cryogenic imaging, linear dichroism microscopy, and advanced photon echo techniques to study non-equilibrium states in artificial photosynthetic systems. Recent work demonstrates significant progress in tracking molecular motors through photoluminescence while maintaining rotary function. Guinness Book of World Records certificate for shortest flashes of light (4.5 femtosecond) Pchenitchnikov has secured substantial research funding including a 3.8 MEuro European Innovative Training Network grant (SEPOMO) in 2016 with 8 academic and 3 industrial partners, and an NWO grant in 2020 for studying self-assembly pathways of artificial light harvesting complexes. His research contributes to UN Sustainable Development Goals through advancements in renewable energy materials and sustainable technologies. His laboratory maintains extensive national and international collaborations through memberships in the Optical Society of America, American Chemical Society, and Materials Research Society.

Leah GerberView profile

Senior Lecturer

• Literary Translation
• Australian Literature
• Children's Literary Translation
• +3 more

Leah Gerber is a Senior Lecturer at Monash University and a core member of the Monash Intercultural Lab (MIL). She holds a PhD in German Studies from Monash University (2008), supported by DAAD funding for research at Humboldt University, Berlin. Her work focuses on literary translation, Australian literature in global contexts, and multilingual communication strategies for culturally diverse communities. Gerber’s research intersects with UN SDGs 4 (Quality Education) and 10 (Reduced Inequalities), emphasizing equitable access to language services and cultural understanding. Education: Bachelor’s in German Studies, Monash University (2002) DAAD Scholarship for studies at Free University, Berlin (2001) PhD in German Studies, Monash University (2008), with DAAD-funded research in Berlin Research Interests: Literary and creative translation methodologies Children’s literature translation dynamics Cross-cultural mediation in multilingual contexts Technology-enhanced translator training (e.g., VR for family violence interpreters) Key Projects: Primary Investigator in initiatives like Building Mental Health Capacity of the Auslan Workforce (2024–2026) and Best Practice Guidelines for Co-designing Community Translations (2024). Her work bridges academic research with practical applications, including training bilingual workers and enhancing healthcare communication for CALD populations. Awards: Recipient of DAAD scholarships for undergraduate and PhD studies, recognizing her contributions to intercultural research. Labs/Teams: Leads the Monash Intercultural Lab, fostering collaborative research on translation, migration, and community engagement.

Sarah HarrisView profile

Professor

• Computer Architecture
• FPGA Design
• RISC-V Systems
• +3 more

Sarah Harris is Professor and Undergraduate Coordinator in the Department of Electrical and Computer Engineering at University of Nevada, Las Vegas. Her research focuses on computer architecture education, FPGA-based systems, and hardware implementations of neural networks. Research areas include: RISC-V architecture education tools FPGA-based hardware design Embedded AI systems Computer engineering pedagogy Her publication portfolio shows strong focus on educational innovation with 7 publications (2021-2024) on RISC-V teaching tools and MOOCs, alongside hardware implementations of neural networks and contributions to bioinformatics tools. Earlier work includes digital design fundamentals and memory systems.

• Steel Structures
• Composite Materials
• Structural Stability
• +2 more

Andreas Taras is a Full Professor at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, where he serves as Deputy Head of the Institute of Structural Engineering. His research focuses on steel and composite structures, structural stability, and fatigue behavior. Key research domains include: innovative steel-concrete-timber composite systems, stability and reliability of metallic structures, fatigue life prediction in bridges, and structural optimization using advanced analysis methods. His work integrates experimental testing with computational approaches to advance sustainable structural design. Recent investigations explore cutting-edge applications like iron-based shape memory alloys in structural glass systems, robotic additive joining for reclaimed steel, and novel hybrid systems combining folded sheet steel with cement-free concrete. Publications demonstrate consistent innovation in structural materials and connection technologies.

Esther Maccallum-StewartView profile

Professor

• Game Studies
• Tabletop Roleplaying Games
• Videogames
• +7 more

Professor Esther Maccallum-Stewart is a Professor of Game Studies at Staffordshire University's School of Digital, Tech, Innovation & Business. Her research focuses on player behavior, analog games (e.g., tabletop roleplaying games), gender representation, narrative analysis, and overlooked gaming subcultures. She has consulted for major gaming companies like King Games (Candy Crush) and Sony PlayStation. Notable roles include Chair of the Glasgow 2024 Worldcon, Distinguished Scholar of DiGRA, and Senior Fellow of the Higher Education Academy (HEA). Education: PhD and BA from the University of Sussex. Research Interests: Tabletop RPGs, gender in games, narrative design, boardgames, and fan communities. She examines how players engage with gaming worlds as consumers, producers, and storytellers. Recent work explores the cultural impact of livestreamed RPGs like Critical Role . Publications: Over 15 books and chapters, including Rerolling Boardgames (2020), Science Fiction of Iain M. Banks (2019), and Gender and Sexuality in Contemporary Fantasy Fiction (2016). Her work bridges game studies, literature, and sociology. Awards & Grants: Hugo Award finalist, AHRC grant for underrepresented voices in Scottish sci-fi, and recognition in the Research Excellence Framework 2021 for 'World Leading' research. Leadership: Organizes science fiction conventions, chairs UK DiGRA, and reviews for AHRC/ESRC grants. Supervises PhD/MA students on topics like larp, gender in games, and narrative theory.

Yingtao LiuView profile

Associate Professor

• Advanced Composites
• Multifunctional Materials
• Intelligent Sensors
• +7 more

Yingtao Liu is an Associate Professor and holds the Benjamin H. Perkinson Chair & William H. Barkow Presidential Professor at the University of Oklahoma's Aerospace & Mechanical Engineering Department. He specializes in advanced composites, multifunctional materials, intelligent sensors, structural health monitoring, and biomedical applications of shape memory polymers. His research integrates additive manufacturing, nanotechnology, and material science to develop innovative materials and devices. Education: Ph.D., Mechanical Engineering, Arizona State University (2012) M.S., Mechatronics Engineering, Harbin Institute of Technology (2006) B.S., Mechanical Engineering, Harbin Institute of Technology (2004) Research Interests: Development of smart materials with sensing and adaptive capabilities Nondestructive testing and structural health monitoring 3D printing of advanced composites and polymers Biomedical devices for intracranial aneurysm treatment Defect analysis in additive manufacturing processes Recent Contributions: Recent publications focus on shape memory polymers, defect analysis in metal additive manufacturing, and advanced composites for biomedical and structural applications. His work bridges materials science, mechanical engineering, and AI-driven characterization techniques. Awards: Best Paper Award, ASME IMECE 2018 OU VPR Faculty Investment Program Award (2015) Journal of Aerospace Engineering Best Paper Award (2012) Teaching & Outreach: Teaches courses in statics, solid mechanics, and structural health monitoring. Engages in educational initiatives integrating 3D printing and advanced materials into undergraduate curricula.

• Computer Architecture
• Embedded Systems
• High-Performance Computing
• +9 more

Zapater Sancho Marina is an Associate Professor at the ReDS Institute (Institute of Reconfigurable and Embedded Digital Systems) within the School of Engineering and Management Vaud (HEIG-VD), part of the University of Applied Sciences and Arts Western Switzerland (HES-SO). She holds dual master's degrees in Electronic and Telecommunication Engineering from Universitat Politècnica de Catalunya (2010) and a PhD in Computer Science from Universidad Politécnica de Madrid (2015). Her career includes postdoctoral work at EPFL (2016-2020) and assistant professorship at Universidad Complutense de Madrid (2015-2016). Education BSc & MSc in Electronic Engineering (UPC 2010) PhD in Computer Science (UPM 2015) Research Focus spans cross-layer optimization of heterogeneous architectures for performance and energy efficiency, with emphasis on: Embedded systems (IoT/edge computing) High-performance compute architectures Analog in-memory computing for AI Thermal/power management in 3D chips Cloud-edge AI workload orchestration Publication Trends show expertise in RISC-V simulation frameworks, analog computing tiles for CNNs, virtual memory redesign, and AI-driven cloud performance prediction. Her recent work explores thermal-aware 3D chip management, hybrid-cache reliability optimization, and open-source teaching platforms for radio theory. Awards include a Spanish government PhD fellowship. She has led 4 European H2020 projects since 2016 and currently serves as PI for 4 industrial collaborations (Facebook/Intel/Huawei), Innosuisse projects, and HES-SO initiatives. Labs & Teams include the ReDS Institute, EPFL's Embedded Systems Laboratory, and collaborations with Yale/Edinburgh. She co-developed the ALPINE simulation framework and SO3 operating system modifications for Midgard project validation.

Liming ChenView profile

Professor

• Computer Vision
• Pattern Recognition
• 3D Face Analysis
• +2 more

Liming Chen is a Full Professor and Director of the Department Mathématiques - Informatique at École Centrale de Lyon, Université de Lyon. As a member of the Laboratoire d'Informatique en Image et Systèmes d'Information (LIRIS, UMR 5205), his research spans computer vision, pattern recognition, and multimedia computing. His extensive research portfolio includes 3D face analysis, image/video categorization, affect analysis, and biometric systems. He has led significant projects such as ANR 3D Face Analyzer, ANR Videosense, ANR Omnia, and ANR FAR3D, focusing on advanced recognition systems and multimodal analysis. Professor Chen supervises multiple PhD students and has developed open-source tools for 3D model processing. His work has received recognition through best performance awards at international competitions including SHREC 2011 (3D face recognition) and ImageCLEF 2011 (photo annotation).