جست‌وجوی استاد و پژوهشگر

Reza Taheriمشاهده پروفایل

استاد

• Pharmacy Education
• Leadership Development
• Curriculum Design
• +۳ مورد دیگر

Reza Taheri is a Professor and Senior Associate Dean of Pharmacy Education at Chapman University School of Pharmacy. His expertise spans leadership development, curriculum design, strategic planning, and programmatic accreditation in pharmacy education. Previously, he served as Chief Strategy Officer at RxPrep Inc., founding Associate Dean at West Coast University, and held faculty and leadership roles at Western University of Health Sciences and Loma Linda University School of Pharmacy. Education: Doctor of Pharmacy (University of Minnesota), Executive MBA (University of Southern California) Current Role: Department of Pharmacy Practice, Chapman University His research focuses on pharmacy education , emphasizing emotional intelligence coaching , interprofessional collaboration , and virtual learning modalities . Recent studies examine mock-trial simulations for teaching-assessment, supplemental instruction efficacy, and interprofessional virtual simulations for leadership and patient advocacy. Publications highlight technology integration in pharmacy curricula and resilience measurement in educational contexts. Taheri collaborates extensively on interprofessional education (IPE) interventions, analyzing their impact on patient outcomes like length of stay , medical errors , and mortality . He is a certified Emotional Intelligence Coach and trainer with Crucial Learning and The Table Group.

• Economic Development
• Regional Economics
• Applied Econometrics
• +۵ مورد دیگر

Marco Letta is a Tenure-Track Assistant Professor at the Department of Social and Economic Sciences , Sapienza University of Rome. His research focuses on economic development , regional economics , policy evaluation , and applied econometrics , with a strong emphasis on climate change impacts, food security, and machine learning applications in economic policy. University: Sapienza University of Rome Department: Department of Social and Economic Sciences Email: marco.letta@uniroma1.it His recent work explores the climate migration nexus , household resilience , and policy targeting , often leveraging machine learning and empirical econometric methods . Publications span topics such as local inequalities during the COVID-19 crisis , temperature shocks in rural Tanzania , and machine learning applications in state aid regulation . Notable trends in his research include: Integration of machine learning with traditional econometric techniques Focus on climate resilience and migration patterns Analysis of policy impacts in developing economies Investigation of local mortality estimates during global crises Development of cross-country empirical frameworks Current projects include assessing agrifood system vulnerabilities and refining counterfactual policy evaluation methodologies.

Xinran Zhuمشاهده پروفایل

استادیار

• Learning Sciences
• Learning Analytics
• AI in Education
• +۳ مورد دیگر

Xinran Zhu is an Assistant Professor at the University of Illinois Urbana-Champaign College of Education, specializing in Learning Design & Leadership and Instructional Design, Technology, & Organization. Her research intersects learning sciences, learning analytics, and AI in education, focusing on designing technology-supported learning environments for authentic classroom settings. Ph.D. in Learning Sciences and Technologies, University of Pennsylvania (2024) M.A. in Educational Psychology, University of Connecticut Graduate studies in learning technologies, University of Minnesota Her research spans three main areas: (1) design and implementation of educational technologies, particularly social annotation tools for knowledge building; (2) AI integration in education to augment collaborative learning; and (3) computational discourse analysis using network analysis and NLP to generate actionable insights. Recent projects include SynthesisAI , a GenAI-powered chatbot for knowledge synthesis, and the Synthesis Lab , a precursor tool for integrating peer ideas in collaborative writing. Dr. Zhu teaches courses on ubiquitous learning, advanced learning technologies, and eLearning system design. She employs co-design methodologies to develop and implement technologies in both lab and real-world classroom settings, emphasizing student agency and ethical AI partnerships.

Amy Zavatskyمشاهده پروفایل

دانشیار

• Biomechanics
• Orthopaedic Biomechanics
• Gait Analysis
• +۴ مورد دیگر

Amy Zavatsky is a Reader in Engineering Science at the University of Oxford and Tutorial Fellow at St Edmund Hall, with faculty service since 1996. Her work bridges mechanical engineering and clinical orthopaedics, focusing on lower extremity biomechanics and gait analysis within the Department of Engineering Science. Education: BSc in Bioengineering, University of Pennsylvania DPhil in Engineering Science, University of Oxford (Thouron Award recipient) Research Focus: Prof. Zavatsky pioneers orthopaedic biomechanics research with emphasis on foot/ankle kinematics, knee osteoarthritis mechanisms, and gait compensations. Her work integrates theoretical modeling with in vitro experimentation to develop clinical applications for cerebral palsy, flatfoot, and running injuries. Current projects advance multi-segment foot modeling and cognitive-efficient data visualization for clinical gait analysis. Publication Trends: 2021-2025 works reveal three converging themes: (1) Open-source foot modeling ( OpenOFM ), (2) Data visualization for clinical decision-making, and (3) Sensor optimization using statistical methods. These publications consistently bridge engineering innovation with orthopaedic clinical practice through collaborations with the Oxford Gait Laboratory. Scientific Recognition: Philip Leverhulme Prize (2003) for outstanding early-career scholarship University Teaching Award (2008) for biomechanics instruction and MSc Biomedical Engineering development Departmental Teaching Awards: Silver (2021), Bronze (2022) Institution of Mechanical Engineers Thomas Stephen Prize (1993) Academic Leadership: Prof. Zavatsky directs undergraduate engineering tutorials at St Edmund Hall while teaching mechanical/civil/biomedical engineering courses. She previously served as Director of Graduate Studies (2016-17), Acting MSc Biomedical Engineering Director (2006-07), and Junior Proctor (2012-13). Her DPhil supervision targets lower-limb biomechanics projects requiring strong engineering fundamentals. Research Infrastructure: Based at the Institute of Biomedical Engineering (Nuffield Orthopaedic Centre), she collaborates extensively with the Oxford Gait Laboratory. Her biomechanics research group utilizes motion capture systems and multi-segment modeling to translate engineering principles into clinical rehabilitation protocols.

Pere-Pau Vázquezمشاهده پروفایل

استادیار

• Information Visualization
• Scientific Visualization
• Medical Data Visualization
• +۶ مورد دیگر

Pere-Pau Vázquez is an Assistant Professor in AI for Visual Computing at the Computer Vision Lab, TU Wien, Austria . Previously, he held academic positions at the ViRVIG Group and Facultat d'Informàtica de Barcelona (UPC) , where he taught courses in Programming, Computer Graphics, and Visualization for over 20 years. His research focuses on Information Visualization, Scientific Visualization, Medical Data Visualization, Molecular Visualization, and AI applications to Visual Computing . Current Teaching : Data Visualization, Fast Realistic Rendering, Information Visualization, Medical Images, Scientific Visualization, Virtual Reality, and 3D Medical Visualization. Former PhD Students : Elena Molina, Alexandra Cortez, Jesús Díaz, Pedro Hermosilla, Eva Monclús. His scientific awards include the Best PhD Thesis Award (UPC, 2003), Best Student Paper Award (SPIE, 2012), and Best Paper Award (International Conference on Computer Graphics Theory and Applications, 2013). Recent publications explore AI integration in biomedical visualization, molecular data analysis, and interactive techniques for volume rendering. He serves on the EuroGraphics Executive Board as Secretary and is active in steering committees for EuroVis and Visual Computing for Biology and Medicine . His work bridges Computer Graphics, Artificial Intelligence, and Human-Computer Interaction , with applications in medical and molecular data analysis.

Fatma Deghimمشاهده پروفایل

پژوهشگر ارشد

• Urban microclimate
• Building energy simulation
• Green infrastructure integration
• +۴ مورد دیگر

Fatma Deghim is a Research Fellow at the Technical University of Munich , affiliated with the Chair of Energy Efficient and Sustainable Design and Building. Her work focuses on urban microclimate, building energy simulation, and data-driven methods for sustainability. Education : Master’s Degree in Civil Engineering (2019–2022) and Bachelor’s Degree in Civil Engineering (2015–2019), both from TUM. Research Interests include: Urban microclimate and indoor-outdoor interactions Building energy simulation and comfort analysis Integration of green infrastructure in climate-resilient design Data-driven methods for environmental monitoring Publications highlight her expertise in applying machine learning to occupancy modeling, thermal comfort prediction, and multi-objective optimization frameworks for sustainable building design. Her work emphasizes uncertainty analysis, resource efficiency, and computational methods. Teaching contributions include assisting in courses on sustainable architecture, building energy principles, and urban water systems at TUM.

Maarten Renkemaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Human Resource Management
• Digitalization
• +۵ مورد دیگر

Maarten Renkema is an Assistant Professor at the University of Twente, specializing in Artificial Intelligence (AI) and its intersection with Human Resource Management (HRM) , Healthcare , and Organizational Innovation . His research explores how AI transforms work design, employee autonomy, and HRM practices in formalized contexts. Key Research Themes: Algorithmic HRM and Digitalization Human-AI Collaboration in Healthcare Self-Managing Teams and Organizational Structures AI Literacy in Education Scientific Awards: Best Dissertation Award (2019) from the Dutch HRM Network Research Trends: His recent work focuses on AI adoption in HRM, ethical implications of algorithmic management, and redefining professional roles in AI-integrated environments. Articles from 2024-2025 highlight practical applications of AI in healthcare workflows, employee-driven innovation, and the evolving responsibilities of HR professionals. Collaborations: Active in cross-sector partnerships, including projects on AI literacy frameworks and talent management in sports. Regularly contributes to professional discourse through invited talks and media commentary on AI's societal impact.

• Neuroscience
• Machine Learning
• Neuroimaging
• +۴ مورد دیگر

Dustin Scheinost is an Associate Professor at Yale School of Medicine, affiliated with the Department of Radiology & Biomedical Imaging, Yale Child Study Center, Department of Statistics, and Yale Biomedical Imaging Institute. His research focuses on connectomics , machine learning , and neuroinformatics through the Multi-modal Imaging, Neuroinformatics, & Data Science (MINDS) Lab. Radiology & Biomedical Imaging (Primary) Child Study Center (Secondary) Statistics (Secondary) Wu Tsai Institute Yale Stress Center Research Interests include developing novel statistical and machine learning methods for functional connectivity in big neuroscience data, leading the BioImage Suite Web (BISWeb) platform, and advancing early life neuroimaging through the Fetal, Infant, Toddler Neuroimaging Group (FIT’NG). His work is supported by grants from NIMH, NIAA, NIDA, and NHLBI. Selected Scientific Contributions span functional connectivity in laterality preferences, anti-racist AI governance in psychiatry, self-citation trends in neuroscience, and predictive modeling of mood disorders. He collaborates extensively with Todd Constable and others on multimodal neuroimaging studies.

• Distributed Systems
• Machine Learning
• Big Data
• +۳ مورد دیگر

Jim Dowling is a distributed systems researcher at KTH Royal Institute of Technology, focusing on large-scale distributed systems, machine learning, and big data. His work emphasizes improving system dependability, performance, security, and scalability through middleware, peer-to-peer systems, and cloud-native solutions. He leads courses such as Advanced Course in Large Scale Machine Learning and Deep Learning and Scalable Machine Learning and Deep Learning , demonstrating his commitment to education in AI and distributed computing. His research spans topics like feature stores, Kubernetes integration, and AI-driven environmental analytics (e.g., ANIARA project for edge infrastructure automation and ExtremeEarth for Copernicus data analysis). He has contributed to scalable ML pipelines, cloud storage systems (HopsFS-S3), and hyperparameter optimization tools like Maggy. Key projects include the Hopsworks platform for machine learning operations and the development of cloud-native tools for big data analytics. His work bridges theoretical distributed systems research with practical applications in AI, healthcare, and environmental science. He has advised on numerous collaborative initiatives but no formal students are listed. His grants and lab activities are centered around Hopsworks and the ANIARA project, reflecting his focus on scalable, self-managing systems.

Mohamed Shaatمشاهده پروفایل

استادیار

• Mechanics & Physics of Active Matter
• Energy Storage Systems (e.g., SOFCs & ASSBs)
• Nano-confined Fluids
• +۷ مورد دیگر

Mohamed Shaat is an Assistant Professor of Mechanical Engineering in the Engineering Department at St. Mary's University, San Antonio, Texas. Holding a Ph.D. from New Mexico State University (2017), he previously served as Assistant Professor at Abu Dhabi University (2019-2021) and held postdoctoral positions at Southern Methodist University (2022-2024) and Boston University (2021-2022). His research bridges energy storage systems, active matter physics, and advanced materials engineering. His educational foundation includes: Ph.D. in Mechanical Engineering, New Mexico State University, 2017 M.Sc. in Mechanical Engineering, New Mexico State University, 2016 M.Sc., Zagazig University (Egypt), 2012 B.Sc., Zagazig University (Egypt), 2007 Dr. Shaat's research program focuses on interdisciplinary innovation in energy storage (SOFCs & ASSBs), mechanics of active matter, nano-confined fluids, chiral metamaterials, and topological/non-Hermitian mechanics. He integrates machine learning with continuum mechanics to optimize electrochemical systems and additive manufacturing, exploring nontraditional phenomena in complex materials for next-generation engineering applications. Analysis of his 60+ journal articles reveals a dominant trajectory in nonlocal elasticity theory and topological mechanics, with increasing integration of machine learning (2020-2024). His work spans nanostructure mechanics, metamaterial design, and energy storage optimization, demonstrating consistent innovation in theoretical frameworks for complex material systems. His scholarly recognition includes: World's Top 2% Scientist (Stanford University, Mechanical Engineering & Transports, since 2019) Outstanding Graduate Award, New Mexico State University (2017) Merit-Based Enhancement Fellowship, New Mexico State University (2017) Best Master's Thesis Award, Zagazig University (2013) Committed to academic service, Dr. Shaat serves on the editorial board of Scientific Reports and as Specialty Associate Editor for Frontiers in Mechanical Engineering. His extensive peer review for Nature, Nature Communications, and Applied Physics Letters reflects his field authority. While specific grant details aren't disclosed, his postdoctoral appointments and publication volume indicate successful research funding. His teaching includes Materials Engineering and Materials Laboratory courses, emphasizing hands-on student mentorship. Though laboratory infrastructure isn't explicitly detailed, his research scope suggests computational modeling expertise and likely collaboration with experimental teams for materials characterization in energy storage and metamaterials development.

Senad Bećirovićمشاهده پروفایل

استاد

• Artificial Intelligence in Education
• Digital Technologies in Education
• Intercultural Education
• +۳ مورد دیگر

Senad Bećirović serves as a full Professor at the University of Education Lower Austria (Pädagogische Hochschule Niederösterreich), having progressed from assistant professor (2014) to associate professor (2017) before attaining his current rank in 2023. His academic career spans teaching research methodology, pedagogy, and advanced statistics across undergraduate, graduate, and doctoral programs at international institutions, delivered through both online and in-person formats. Bećirović's research focuses primarily on Artificial Intelligence and digital technologies in education , with significant contributions to intercultural education , gifted education , and foreign language pedagogy . His work demonstrates a consistent trajectory toward understanding how emerging technologies reshape educational practices and outcomes. Through four books published by Springer and Nova Science and over 60 articles in top-tier journals, he has established himself as a leading voice in digital educational transformation. His recent publications (2023-2025) reveal a pronounced emphasis on AI applications in education, with multiple studies examining AI literacy, policy frameworks, and implementation strategies across European higher education contexts. This research demonstrates both theoretical depth and practical relevance to current educational challenges. Bećirović actively contributes to the scholarly community as editor and reviewer for numerous Q1 journals including Smart Learning Environments (Springer), Education and Information Technologies (Springer), and TESOL Quarterly (Wiley). He participates in multiple European Commission-funded initiatives such as ENRICH (Enhancing Teaching and Research through Innovative Digital Technologies) and Erasmus+ projects focused on peace learning and English education. His professional activities extend to international collaboration through membership in the European Network Ethical Use of AI and the American Educational Research Association (AERA). He frequently delivers keynote addresses at international conferences, sharing expertise on AI in education, digital transformation, and intercultural competencies.

Shahid Razaمشاهده پروفایل

استاد

• Cybersecurity
• Internet of Things (IoT) Security
• AI/Machine Learning & IoT Security
• +۳ مورد دیگر

Shahid Raza is a Professor of Cybersecurity at the University of Glasgow's School of Computing Science. He previously led the RISE Cybersecurity Unit in Sweden, establishing it as a leading research group. His expertise spans IoT Security, PKI, AI-driven cybersecurity solutions, and hardware/data security. Raza holds a PhD and Docentship from Uppsala University, alongside a Bachelor's with a Gold Medal for academic excellence. Education: B.Sc. (Computer Science, 3.99/4.0 CGPA, Gold Medal), Licentiate, PhD, and Docentship in Cybersecurity from Sweden. He leads EU-funded projects like H2020 CONCORDIA and Horizon Europe CUSTODES, coordinating initiatives such as the Cyber Node and Cyber Range. Active in cybersecurity policy, he serves on the EU SCCG, ECSO, and EARTO Security & Defence Research working groups. Research Interests Public Key Infrastructure (PKI) for IoT AIAgent-Driven Cybersecurity Solutions IoT Certification Standards Hardware Security for Low-Power Devices Grants & Projects Coordinator: Horizon Europe CUSTODES Technical Leader: H2020 Arcadian-IoT Founder: RISE Cyber Range (Sweden's largest cybersecurity test facility) Awards & Memberships IEEE Senior Member Gold Medal for Academic Excellence (Bachelor's)

• Artificial Intelligence
• Collective Intelligence
• Digital Strategy
• +۷ مورد دیگر

Overview Prof. Harris Kyriakou is an Associate Professor and Chair Holder of the Media & Digital Chair at ESSEC Business School. His research focuses on leveraging artificial and collective intelligence to enhance organizational value creation, digital strategy, and data-driven decision-making. He has advised multinational firms like Airbnb, Facebook, and Yelp, and his work is supported by grants from NSF and the Spanish government. Education Ph.D. in Management Sciences (Stevens Institute of Technology, 2016) M.S. in Engineering & Technology Innovation Management (Carnegie Mellon University, 2010) B.Sc. in Digital Systems (University of Piraeus, 2007) Research Focus His research explores intersections between AI/collective intelligence, blockchain, sharing economy regulations, and platform governance. Key themes include data network effects, algorithmic regulation, and digital transformation. Recent work on ChatGPT vs. Google examines AI-driven competitive dynamics in search markets. Recognition Awarded the 2024 Case Centre Triple Award, 2022 Early Career Award (AIS), and multiple best paper awards (AoM, INFORMS). Recognized as a 40-Under-40 MBA Professor by Poets & Quants. Teaching & Leadership Co-leads the 'Algorithmic Governance in Platform Economy' thesis Teaches courses on AI, digital strategy, and IT management at ESSEC and IESE Former Assistant Professor at IESE Business School (2016–2021) Professional Contributions Serves as a European Commission advisor on digitalization, reviewer for top journals (MIS Quarterly, Academy of Management Review), and mentor for doctoral candidates.

Timothy Harrisمشاهده پروفایل

مدرس

• Distributed Systems
• Operating Systems
• Machine Learning
• +۵ مورد دیگر

Timothy Harris is an Affiliated Lecturer at the University of Cambridge's Department of Computer Science and Technology, where he jointly teaches courses on multicore semantics and programming. Currently, he works at OpenAI, focusing on performance optimization for GPU inference of large language models, including the Azure OpenAI Service. Previously, he held roles at Microsoft, AWS, Oracle Labs, and was a faculty member at the University of Cambridge (2000–2004). His research spans distributed systems, runtime systems, operating systems, and high-performance computing, with an emphasis on scalability and performance. He contributed to projects like the Xen hypervisor and the Barrelfish research OS. Key research interests include distributed training of PyTorch models in the ONNX runtime, large-scale storage performance with Amazon S3, and runtime systems for in-memory graph analytics. His work often bridges 'big data' and high-performance computing techniques. Notable contributions include the book Transactional Memory (2010) and the Barrelfish OS, alongside numerous publications in top-tier conferences like SOSP, ASPLOS, and EuroSys. He has served as PC chair for ISMM 2025, VEE 2017, and EuroSys 2015, reflecting his leadership in the systems research community. His awards include a Best Paper Award at PACT 2010. Beyond academia, Harris is an avid hiker, aiming to complete the UK coastline, and maintains a photography portfolio at tlhphotography.uk .

Giuseppe Santucciمشاهده پروفایل

دانشیار

• Visual Analytics
• Information Visualization
• Human-Computer Interaction
• +۳ مورد دیگر

Giuseppe Santucci is an Associate Professor at the Department of Computer, Control and Management Engineering Antonio Ruberti at Sapienza University of Rome. He teaches courses on Fundamentals of Computer Science, Software Engineering, and Visual Analytics. His office is located in Room B218 at Via Ariosto 25, Rome, and his contact email is santucci@diag.uniroma1.it. Dr. Santucci's research focuses on Visual Analytics, Information Visualization, Human-Computer Interaction, and Information Retrieval. His work spans theoretical aspects of visual query languages for semantic models to practical applications in visual analytics for cybersecurity, cryptocurrencies, and deep learning explainability. He has published over 130 articles in international journals and conferences, demonstrating his significant contributions to these fields. His recent publications show a strong trend toward applying visual analytics to increasingly complex domains including cybersecurity, cryptocurrencies, and explainable AI. The work demonstrates an evolution from theoretical foundations of visual query systems to practical applications that help users understand complex data and systems. His research bridges the gap between theoretical computer science and practical user-centered solutions. Dr. Santucci has received notable recognition including: IEEE VizSec 2018 Best Paper Award Human-Computer Interaction Cybersecurity Awards 2018 He actively mentors students through thesis projects focused on information visualization and visual analytics. His PROMISE project provides a framework for students to engage in cutting-edge research in information retrieval and visual analytics. He has supervised work on topics including visual evaluation techniques, visual mappings optimization, and user studies for Infovis systems. Dr. Santucci leads the A.WA.RE (Advanced Visualization & Visual Analytics REsearch) group at Sapienza University. This group conducts research on visual analytics tools for information retrieval evaluation, cybersecurity analysis, and deep learning explainability. Their work includes developing frameworks like CryptoComparator for cryptocurrency analysis and BUCEPHALUS for cybersecurity platform analysis.