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Azhar ZamView profile

Associate Professor

• Biomedical Optics
• Optical Coherence Tomography (OCT)
• Photoacoustics
• +5 more

Azhar Zam is an Associate Professor of Bioengineering at NYU Abu Dhabi (NYUAD) and associated faculty at NYU Tandon School of Engineering's Biomedical and Electrical Engineering departments. He holds a B.Sc. from University of Indonesia, M.Sc. from University of Luebeck (Germany), and Ph.D. from Friedrich-Alexander-University Erlangen-Nuremberg (Germany). His research focuses on developing smart optical devices for medical imaging/diagnostics, including laser surgery, OCT, photoacoustics, and AI-driven imaging systems. He leads the Laboratory for Advanced Bio-Photonics and Imaging (LAB-π) at NYUAD and has authored 85+ publications/patents. Education: Bachelor of Science, University of Indonesia M.Sc. Biomedical Engineering, University of Luebeck Ph.D. Engineering, Friedrich-Alexander-University Erlangen-Nuremberg Research Interests: Innovations in biomedical optics, optical-based smart sensors, AI-enhanced diagnostics, and miniaturized medical imaging systems. His work integrates advanced optical technologies with surgical robotics and clinical applications. Professional Contributions: Associate Editor for Frontiers in Photonics Biophotonics section; Reviews Editor for Frontiers in Ophthalmology Retina section. Previously held positions at University of Basel (Assistant Professor), University of Waterloo, and other institutions globally. Labs & Teams: Directs NYUAD's LAB-π lab focusing on bio-photonics innovations. Collaborates across NYU's global network and international partners.

Joshua BleibergView profile

Assistant Professor

• Education Policy
• Quantitative Research Methods
• Causal Inference
• +3 more

Joshua Bleiberg is an Assistant Professor of Education Policy at the University of Pittsburgh School of Education, specializing in quantitative methods to assess causal effects of education policies on marginalized communities. His research focuses on standards-based reforms (e.g., NCLB, Common Core), inequality in education, quasi-experimental policy analysis, education politics, and teacher labor markets. Ph.D. in Leadership, Policy, and Organization, Vanderbilt University (Peabody College) Master’s in Education Policy and Management, Harvard University B.A. in Political Science, Vassar College Childhood Education Teacher Certification, New York His recent publications analyze state takeovers of school districts, teacher layoffs, and pandemic-era education systems. Awards include the Emerging Education Policy Scholar (Fordham Institute, 2021) and Education Policy Academy Fellow (2018). Bleiberg also engages in professional service roles at the Annenberg Institute and Vanderbilt University.

Tommy ChanView profile

Professor

• Structural Health Monitoring
• Bridge Engineering
• Moving Force Identification
• +2 more

Professor Tommy Chan is Chair in Civil Engineering at Queensland University of Technology's School of Civil and Environmental Engineering. With over $10M in research funding, his work focuses on structural health monitoring of bridges and infrastructure systems. His research group develops cutting-edge methods for assessing structural integrity using vibration analysis, optical sensors, and machine learning. Professor Chan leads major projects including the ARC-funded 'Next Generation Bridge Monitoring' initiative developing real-time monitoring systems for prestressed concrete bridges. His team's innovations include GNSS-based settlement monitoring and synergic identification methods for prestress force evaluation. Current research explores vehicle-bridge interactions, damage detection algorithms, and novel materials for impact protection. He has received numerous honors including the Vice Chancellors' Leadership Award and Top Supervisor Award. Professor Chan founded the Australian Network of Structural Health Monitoring and serves on editorial boards for multiple journals in structural engineering.

• Computational Fluid Dynamics
• Vehicle Aerodynamics
• Bluff-Body Flows
• +3 more

Sinisa Krajnovic is a Professor of Computational Fluid Dynamics and Head of the Department of Mechanics and Maritime Sciences at Chalmers University of Technology. His research focuses on vehicle aerodynamics, bluff-body flows, and time-dependent numerical simulations, particularly in ground vehicle flows (trains, cars, buses) and high-speed train dynamics. He leads studies on flow control mechanisms, bi-stable wake phenomena, and turbulence modeling using advanced CFD techniques like LES and PANS. Recent work emphasizes active flow control optimization, snow-resistance performance of bogies, and aerodynamic interactions in platoons. His 247+ publications span topics including high-speed train aerodynamics, ship airflow control, and bluff-body wake dynamics. Collaborations involve experimental validation and industrial applications in rail and marine transportation.

Gonzalo Barluenga BadiolaView profile

Professor

• 3D Printing Materials
• Cement-Based Composites
• Self-Healing Concrete
• +5 more

Gonzalo Barluenga Badiola is a Professor at the Department of Architecture within the School of Architecture at the University of Alcalá. His research focuses on advanced construction materials, including 3D-printable mortars, self-healing concrete, phase change materials (PCM), and nanomaterials for sustainable architecture. He leads the 'Promarq' research group, specializing in architectural projects and building materials. He holds a Ph.D. from the Universidad Politécnica de Madrid (2002), with a thesis on joint systems in facade construction. His research interests emphasize material innovation for energy efficiency, structural health monitoring, and environmental adaptation. Key areas include bio-based composites, thermal/acoustic mortar properties, and the integration of nanotechnology into construction materials. Recent work explores post-fire self-healing mechanisms, PCM-enhanced mortars, and additive manufacturing applications. His publications (2023–2025) highlight advancements in 3D-printed cement-lime mortars, nano-modified self-compacting concretes, and fiber-reinforced composites. He investigates rheological properties of materials at early stages and their structural performance. No scientific awards are explicitly mentioned, but his work is widely cited in sustainable construction and materials science. Grants and collaborations are inferred from his research output, though specific funding details are not provided here. His lab, 'Promarq,' likely focuses on experimental and numerical analysis of building materials. No student advising records are listed in the provided data.

Robert F. SavinellView profile

Professor

• Electrochemical Engineering
• Energy Conversion
• Energy Storage
• +3 more

Robert F. Savinell is a Distinguished University Professor and George S. Dively Professor of Engineering at Case Western Reserve University's Department of Chemical and Biomolecular Engineering. He has held leadership roles including Director of the Ernest B. Yeager Center for Electrochemical Sciences (10 years) and Dean of Engineering (7 years). His research focuses on electrochemical solutions for energy conversion/storage, with emphases on flow batteries, electrochemical capacitors, and advanced materials. He serves as Editor-in-Chief of the Journal of the Electrochemical Society and holds fellowships from the Electrochemical Society, American Institute of Chemical Engineers, and International Society of Electrochemistry. Education: BS in Chemical Engineering (Cleveland State University, 1974), MS (University of Pittsburgh, 1974), PhD (University of Pittsburgh, 1977). Research Highlights: Current projects include novel electrode structures for hybrid flow batteries, slurry electrode conductivity, and high-temperature polymer electrolytes. Over 40 years of R&D in electrochemical engineering have produced breakthroughs in energy storage systems. Awards: 2022 Vittorio De Nora Award (Electrochemical Society), 2020 Frank and Dorothy Humel Prize (CWRU), 2018 DOE EFRC grant (BEES program). Grants/Advising: Directs the Breakthrough Electrolytes for Energy Storage (BEES) EFRC. Advises on projects spanning fundamental electrochemistry to commercial applications. Active in cross-institutional collaborations. Labs/Teams: Leads the Yeager Center for Electrochemical Sciences and collaborates with MIT, Denmark Technical University, and Yamanashi University through visiting professorships.

Yufeng ZhangView profile

Professor

• Operations Management
• Supply Chain Management
• Sustainability
• +12 more

Professor Yufeng Zhang is a Chair in Operations Management and Head of the Department of Management at Birmingham Business School, University of Birmingham. He is also a Senior Fellow of the Higher Education Academy and a Fellow of the Alan Turing Institute. His academic journey began at Shanghai Jiao Tong University, continued at the Technical University of Berlin, and culminated with a PhD from the University of Cambridge, where he also worked as a Research Associate before joining Birmingham in 2009. PhD, Engineering – University of Cambridge MSc/Dipl-Ing, Global Production Engineering – Technical University of Berlin BEng, Mechanical Engineering & Automation – Shanghai Jiao Tong University BEng, International Finance – Shanghai Jiao Tong University PG Cert in Learning & Teaching in Higher Education Yufeng Zhang’s research focuses on sustainability, digitalisation, engineering innovation, and global network operations. His work integrates engineering and management perspectives, employing qualitative, quantitative, and simulation methods. He has led numerous projects funded by UK, EU, and international bodies, and has published over 80 refereed papers in top-tier journals such as Journal of Operations Management , International Journal of Production Economics , and Journal of Cleaner Production . His recent publications highlight trends in green operations, sustainable supply chains, digital transformation, and network capabilities. The research spans subfields including environmental performance, IoT integration, supply chain flexibility, and servitisation, reflecting a strong interdisciplinary focus on modern operational challenges. His scientific awards include the University’s Excellence in Teaching and Learning Award (2013), Literati Nominations for Highly Recommended Papers (2008, 2013), and recognition as a Senior Fellow of the Higher Education Academy and Turing Fellow. Yufeng has supervised over 20 PhD students and has held key roles such as Deputy Lead for REF2021, Director of Business Programmes with Engineering, Sciences, Law and Languages (2010–2017), and Coordinator of Europe China High Value Engineering Networks (EC-HVEN). He is an External Examiner for multiple universities and a Visiting Professor at Zhejiang University, demonstrating extensive academic leadership and collaboration. He leads and contributes to research labs and networks focused on engineering innovation and sustainable operations, including collaborations with industry and international institutions. His future work continues to explore the intersection of digital technologies, sustainability, and global operations, aiming to shape resilient and responsible business practices.

Chao HuView profile

Associate Professor

• Engineering Design under Uncertainty
• Battery Health Diagnostics and Prognostics
• Machine and Structural Health Monitoring
• +3 more

Dr. Chao Hu is the Collins Aerospace Professor in Engineering Innovation and Associate Professor at the University of Connecticut's Department of Mechanical Engineering within the College of Engineering. His research focuses on engineering design under uncertainty, battery health diagnostics, and structural health monitoring. He holds a B.E. from Tsinghua University (2007) and a Ph.D. from the University of Maryland (2011), with prior roles at Medtronic and Iowa State University. Research interests emphasize physics-informed machine learning for prognostics, battery degradation modeling, and reliability-based design optimization. Key publications include work on digital twin models for lithium-ion batteries, federated learning for fleet-wide fault diagnosis, and probabilistic machine learning pipelines for real-time state estimation. He has received awards like the ASME Design Automation Young Investigator Award and highly cited paper recognitions. Dr. Hu serves as Senior Editor for Engineering Optimization and Review Editor for Structural and Multidisciplinary Optimization . His work spans academic leadership in journals and industrial collaborations. Current projects include battery aging datasets (UConn-ILCC and UConn-ISU-ILCC), design for remanufacturing frameworks, and high-rate structural health monitoring techniques.

• Structural Health Monitoring
• Machine Learning in Civil Engineering
• Earthquake Engineering
• +9 more

Marco Martino Rosso is a Research Fellow at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin, where he also serves as an external lecturer and teaching assistant in both DISEG and the Department of Mathematical Sciences (DISMA). He is affiliated with the Doctoral School (SCDOTT) and completed his PhD under the supervision of Professor Giuseppe Carlo Marano. His academic work bridges civil engineering with advanced computational methods, focusing on structural health monitoring, optimization, and machine learning applications. His research interests center on Structural Health Monitoring , Machine Learning in Civil Engineering , Earthquake Engineering , Structural Optimization , Operational Modal Analysis , and AI-driven diagnostics for infrastructure. He applies deep learning, neural networks, and hybrid modeling techniques to problems such as damage detection, post-earthquake assessment, tunnel and bridge monitoring, and dynamic analysis of timber and concrete structures. His recent publications, spanning from 2023 to 2025, demonstrate a strong trend toward integrating artificial intelligence with structural engineering, particularly in automating modal analysis, optimizing structural forms, and enhancing seismic resilience. These works appear in journals like Mechanical Systems and Signal Processing , Computers & Structures , and Bulletin of Earthquake Engineering , as well as in proceedings of international conferences such as IOMAC and EWSHM. Marco Rosso has not received any explicitly mentioned scientific awards in the provided text. However, his extensive publication record and active role in research projects indicate strong recognition in his field. He has contributed to teaching as a course collaborator in subjects including Dynamic Identification of Structures , Statistics , Construction Techniques , and Safety Assessment and Retrofitting of Structures . He has also been involved in the ARTISTE 2025 Summer School, indicating engagement in advanced training programs. While no formal lab or team name is specified, his frequent collaborations with researchers such as Angelo Aloisio, Giuseppe Carlo Marano, and Jonathan Melchiorre suggest he is part of a vibrant research group focused on intelligent structural systems and data-driven engineering at Politecnico di Torino.

Gokhan PekcanView profile

Professor

• Earthquake Engineering
• Structural Dynamics
• Seismic Hazard Mitigation
• +3 more

Gokhan Pekcan is a Professor at the University of Nevada, Reno, serving as Graduate Program Director and Associate Chair for Graduate Affairs. His research focuses on earthquake engineering, structural dynamics, seismic hazard mitigation, and structural health monitoring. Key research areas include: Seismic response of bridges and buildings under torsional ground motions Development of active and adaptive control systems for seismic resilience Integration of machine learning and compressive sensing for structural health monitoring Experimental validation of seismic retrofit techniques Analysis of structural and nonstructural systems' vulnerability Design of energy dissipation systems for civil infrastructure Recent publications highlight his work on torsional ground motion effects, hybrid simulation methodologies, and smart material applications in bridge systems. He employs deep learning for damage detection and data compression in monitoring frameworks.

• Film Studies
• Experimental Cinema
• Queer Cinema
• +4 more

Cathy Lee Crane is a Professor at the Roy H. Park School of Communications within Ithaca College , specializing in directing actors for film. Since 1994, her work has redefined speculative history through lyrical, archival-based filmmaking. She received the prestigious Guggenheim Fellowship (2013) and has been honored with multiple awards, including Best Feature Documentary at the Syracuse International Film Festival (2020). Key Projects: Crossing Columbus (2020), terrestrial sea (2022), and the (X)-trACTION collective Residencies: Harun Farocki Institute (2022), Rockefeller Foundation Bellagio Center Her cross-platform border work challenges traditional storytelling, while her 16mm short films distributed by Canyon Cinema and Light Cone continue to shape experimental cinema. As SFIndie Fest 2018’s The Manhattan Front was declared a 'masterpiece' by Noel Burch, Crane remains a pivotal figure in queer and experimental film discourse. Scientific Awards: Guggenheim Fellowship (2013) New York Foundation for the Arts Fellowship Best Feature Documentary (Syracuse International Film Festival, 2020) Jury Citation (Festival de Cinema da Fronteira, 2022)

Lina von SydowView profile

Professor

• Computational Science
• Computational Finance
• Ice Sheet Modeling
• +2 more

Lina von Sydow is a Professor in Computational Science at Uppsala University's Department of Information Technology. She serves as Section Dean for the Mathematical-Computer Science Section since July 2023. Her academic journey includes becoming an Associate Professor in 2000, Senior Lecturer since 1997, and leading the Department of Information Technology from 2018 to 2023. PhD in Domain Decomposition Methods (1995, Uppsala University) Postdoctoral Fellow at Oxford University (1996-1997) Her research spans computational science with dual focuses on Computational Finance and Ice Sheet Modeling . In finance, she develops numerical methods for option pricing using PDEs, radial basis functions, and stochastic volatility models. In climate science, she contributes to ice sheet dynamics through full Stokes models and adaptive time-stepping approaches, particularly in simulating grounding line migration. Recent publications (2025) address gender disparities in IT education, including comparative analysis of admission trends and intervention studies to boost female enrollment. Earlier works (2020-2015) focus on high-order finite difference methods for financial derivatives, BENCHOP benchmarking projects, and preconditioning techniques for PDEs. Scientific awards include Excellent Teacher (2013) She actively collaborates on educational reforms, co-authoring studies like Gender-aware course reform in Scientific Computing (2013). Her leadership roles include Head of Department (2018-2023) and Section Dean (2023-present), influencing academic governance and interdisciplinary research. Labs and teams: Works with Uppsala University's Computational Science group, Elmer/ICE project collaborators (e.g., Per Lötstedt, Gong Cheng), and international partners in numerical finance and climate modeling.

• Inequality in Education
• Shadow Education
• Educational Policy
• +3 more

Louise Elffers is a Professor at the Centre for Applied Research on Education at Amsterdam University of Applied Sciences and holds a Special Professorship in Inequality of Opportunity in Education at the University of Amsterdam. Her work focuses on educational systems, equity, and accessibility. Universities: Amsterdam University of Applied Sciences, University of Amsterdam Secondary Roles: Director of the Knowledge Center Inequality, Chairman of the Education Council, Member of the State Commission on Demographic Developments 2050 Her research examines educational inequality , shadow education , and accessibility of higher education . Recent work includes national studies on preacademic programs and teacher practices in selective systems. Scientific Awards : NRO Toegankelijk Hoger Onderwijs (2020) Volkskrant Best Book Award shortlist (2022) Sociologische Bril nomination (2023) Elffers serves on multiple educational advisory boards and has secured significant national research grants. She regularly contributes to policy discussions and public media on educational equity.

Anna WilbikView profile

Professor

• Data Fusion
• Intelligent Interaction
• Fuzzy Logic
• +4 more

Anna Wilbik is a Professor in Data Fusion and Intelligent Interaction at the Department of Advanced Computing Sciences, Faculty of Science and Engineering, Maastricht University (The Netherlands). Her research bridges data understanding and human-machine synergy in complex systems, focusing on multi-criteria decision making, explainable AI, and data fusion techniques. PhD in Computer Science (with honors), Systems Research Institute, Polish Academy of Science (2010) Postdoctoral Fellow, University of Missouri (2011) Stanford University TOP500 Innovators Program Alumnus Research Pillars: Intelligent human-machine interaction for joint decision making Data fusion methods for heterogeneous data integration Contextualized multi-criteria decision frameworks Fuzzy logic and linguistic summaries for explainability Federated learning systems Article Trends: Recent work focuses on intuitionistic fuzzy sets for knowledge-intensive processes, federated learning with uncertainty handling, and linguistic summarization techniques for interpretable AI. She actively explores explainability , collaborative business models , and driver behavior analysis through attention-based models. Professional Leadership: Vice-chair of IEEE Fuzzy Systems Technical Committee Organizer of IEEE World Congress on Computational Intelligence (2024)

Emilio Villa GonzálezView profile

Professor

• Active Displacement
• Physical Condition Assessment
• Muscle Strength Training for Young People
• +5 more

Emilio Villa González serves as a Professor at the University of Granada, Spain, within the Faculty of Sports Sciences and Department of Physical Education and Sports since 2017. As a founding member of the PROFITH research group (established 2013), he bridges academic expertise with a decade of prior professional experience in fitness centers as a personal training specialist. His academic credentials include a Bachelor's in Physical Activity and Sports Sciences from Alfonso X el Sabio University (2004-2009), followed by a Master's and Doctoral Program in Biomedicine at the University of Granada. He earned the Extraordinary Doctorate Award in the health area and holds two additional master's degrees plus four postgraduate expert qualifications. Professor Villa González's research centers on active displacement , physical condition assessment , muscle strength training for youth , physical activity promotion in educational contexts , sports initiation/specialization , and health-oriented fitness trends . His interdisciplinary approach integrates exercise science, public health, and educational theory to develop evidence-based interventions for youth health improvement. Analysis of his 2023-2025 publications reveals consistent focus on school-based interventions, particularly active commuting and muscular fitness. His work employs systematic reviews, meta-analyses, and RCTs with international collaborations, showing significant policy impact—such as influencing U.S. National Institute for Health guidelines through his 2018 active transport review. Emerging trends include gamified resistance training (RETRAGAM protocol) and physical literacy assessment within 24-hour movement frameworks. His scientific recognition includes: Extraordinary Doctorate Award for the health area While specific grant details aren't provided, his international research stays (Ecuador, Chile, New Zealand, Porto) and high-impact publications indicate active involvement in funded projects. His mentorship likely extends through PROFITH group initiatives, though student names aren't specified in source materials. The PROFITH research group forms his primary collaborative environment, uniting exercise scientists, public health experts, and educators to advance physical activity promotion through rigorous, policy-relevant research.