جست‌وجوی استاد و پژوهشگر

Ravi Sharmaمشاهده پروفایل

پژوهشگر

• Industrial Internet of Things (IIoT)
• Industry 4.0
• Wireless Sensor Networks
• +۱۱ مورد دیگر

Ravi Sharma is a postdoctoral researcher at the Department of Built Environment at Eindhoven University of Technology, specializing in Industrial Internet of Things (IIoT), Industry 4.0, and data-driven sustainable systems. He earned his PhD from Budapest University of Technology and Economics and a Master's from Indian Institute of Technology, Patna. Role: Researcher focusing on IIoT, ERP integration, and secure data transfer. Projects: Active in the WILSON project for federated digital twinning in building management. Sharma’s research spans IIoT, digital twins, 5G-enabled systems, and blockchain. His work addresses reducing human intervention in industrial data flows, enhancing security, and aligning technology with UN Sustainable Development Goals (SDGs). Recent publications highlight UAV-assisted code dissemination, secure pipeline monitoring, and AI-driven societal advancement. His publications (2025-2020) emphasize IIoT, Industry 4.0, and sustainable computing. Trends include blockchain for data integrity, 5G for real-time positioning, and semantic frameworks for interoperability in construction. Sharma's expertise contributes to SDGs like sustainable cities and responsible consumption. He collaborates across disciplines, including with the WILSON project team for lifecycle building management.

• Educational Technology
• Computer Science Education
• Learning Analytics
• +۳ مورد دیگر

Huanyi Chen is a Sessional Lecturer at the University of Waterloo. Their research focuses on educational technology, computer science education, and learning analytics, with a particular emphasis on automated feedback systems and student performance analysis. Contact: huanyi.chen@uwaterloo.ca . Research interests include improving formative assessment methods, optimizing database course pedagogy, and leveraging auto-grading systems to enhance learning outcomes. Recent work explores the impact of time extensions on student ability identification and metacognitive accuracy in homework assignments. Publications highlight trends in automated feedback frameworks, clustering student behavior data, and predicting academic performance through educational data mining. No scientific awards or grants are explicitly listed in the provided information.

Patricia Rogetzerمشاهده پروفایل

استادیار

• Artificial Intelligence
• Sustainable Supply Chain Management
• Circular Economy
• +۳ مورد دیگر

Patricia Rogetzer is an Assistant Professor in the Department of Industrial Engineering & Business Information Systems at TU Delft. Her expertise spans Artificial Intelligence applications in education, sustainable supply chain management, circular economy strategies, and urban logistics. She has held previous roles as a Postdoctoral Researcher at TU Munich (2018–2020) and Research and Teaching Associate at Vienna University of Economics and Business (2013–2018). Her research addresses challenges in integrating AI technologies with learning systems, optimizing urban infrastructure projects, and advancing circular supply chain frameworks. Her work aligns with UN Sustainable Development Goals, particularly in fostering sustainable consumption and production patterns (SDG 12) and sustainable cities (SDG 11). She has contributed to methodologies such as Circular Value Stream Mapping and stakeholder engagement frameworks for Hubs of Circularity. Her research also explores automation in defect management, traffic disruption mitigation during urban renovations, and the potential of cargo bikes in city logistics. Key Research Themes: AI in Education, Urban Infrastructure Scheduling, Closed-Loop Supply Chains, Circular Economy. Awards: 2021 BMS faculty Graduation Award (supervision). Activities: Active participation in conferences such as the 15th ISIR Summer School (2021) and the International Conference on Computational Logistics (2021). Rogetzer’s publications emphasize interdisciplinary approaches, combining operational research with sustainability goals. Her recent work highlights trends in AI-driven educational tools and the application of machine learning to optimize urban infrastructure projects.

Liang Liمشاهده پروفایل

دانشیار

• Early Childhood Education
• Infants-toddlers education and care
• Play and Pedagogy
• +۵ مورد دیگر

Liang Li is an Associate Professor in Early Childhood Education at Monash University's Faculty of Education. She holds a PhD and previously worked as an early childhood teacher in Australia. Her research adopts a cultural-historical perspective to investigate infant-toddler education, play pedagogy, STEM education, and family practices in China and Australia. She has led and contributed to numerous research projects funded by organizations like the Collier Charitable Fund and Victorian Curriculum and Assessment Authority. Key research areas include infants-toddlers' education and care, play-based learning, visual methodology, and speech development in early childhood. Li has received multiple awards, including the MGA Supervisor of the Year (2023), Dean's Excellence in Research (2015), and Dean's Teaching Awards (2013/2016). She actively collaborates with international researchers and institutions, contributing to global educational initiatives such as the National Children's Education and Care Workforce Strategy in Australia. Her publications span 78 outputs, focusing on topics like mathematics transition in primary education, conceptual playworlds in early childhood settings, and the role of AI in educational feedback. Li's work addresses UN Sustainable Development Goals related to quality education and inclusive societies. She supervises students in child development, STEM education, and teacher education, emphasizing culturally responsive methodologies. Notable research projects include 'Supporting children’s mathematics transition to primary school in play' (2024-2025) and 'Victorian Curriculum F-10: Mathematics Version 2.0 - Professional Learning Program' (2023-2024). Her expertise bridges theoretical frameworks with practical educational strategies, impacting policy and practice in early childhood and primary education systems.

Keshav Dahalمشاهده پروفایل

استاد

• Artificial Intelligence (AI)
• Data Mining/Big Data
• Blockchain Technology
• +۷ مورد دیگر

Overview Professor Keshav Dahal holds the Chair in Intelligent Systems and serves as Director of the Artificial Intelligence, Virtual Communication and Networks (AVCN) Research Institute and the DeLTA (Data Analytics for Intelligent and Autonomous Systems) Research Group at the University of the West of Scotland (UWS). He concurrently holds visiting professorships at Amity University (India), Kantipur Engineering College (Nepal), and Chiang Mai University (Thailand). His research focuses on AI-driven solutions for data science, blockchain technology, disaster management, healthcare systems, communication networks, and energy systems. Research Expertise Professor Dahal specializes in: Applications of AI to data mining, logistics optimization, and decision support systems Trust and security modeling in distributed systems Blockchain applications for secure authentication and decentralized systems Optimization of IoT-enabled smart technologies Healthcare informatics and remote patient monitoring Grants & Projects He has secured £30M+ in EU/UK/industry funding through 26 projects, including: EU eACCESS (2019–2024) H2020 SELFNET (2015–2018) UK Innovate KTP projects with Little Ltd, PG Paper, and WellFish Tech Professional Contributions He has: Supervised 11 postdocs and 30 PhD students Authored 200+ peer-reviewed publications Chaired 60+ international conferences Developed frameworks for interdisciplinary machine learning applications Labs & Initiatives He leads the AVCN Research Institute and coordinates EU-funded initiatives like SmartLink (2014–2019) and gLINK (2014–2019), focusing on smart technology applications across sectors.

• Cementitious Materials
• Sustainable Construction
• Alkali-Activated Materials
• +۳ مورد دیگر

Xiaodi Dai is a Research Associate at the Department of Civil and Environmental Engineering, Faculty of Engineering at Imperial College London. Their research focuses on advancing sustainable construction materials and smart technologies, particularly in alkali-activated materials, 3D printing concrete, and geopolymer composites. Key areas include waste-derived aggregate utilization, CO2 mineralization in cementitious systems, and thermoresponsive material design for construction automation. Dr. Dai's work integrates machine learning for material optimization and addresses environmental challenges through low-carbon material development. Research interests emphasize structural build-up mechanisms, rheological behavior of cementitious systems, and innovative applications of industrial byproducts. Their publications explore topics such as fly ash alkaline activation, microbial encapsulation for self-sealing composites, and machine learning-driven mix design optimization for low embodied carbon concrete. Recent contributions include advancements in 3D-printable geopolymer formulations, thermal stiffening mechanisms, and alkali-activated CLSM using urban waste materials. This research bridges fundamental material science with practical construction applications to promote sustainability and resource efficiency in the built environment.

• Engineering Education
• Biomechanical Modeling
• Educational Technology
• +۳ مورد دیگر

Negar Harandi is an Assistant Professor of Teaching at the School of Biomedical Engineering, University of British Columbia. She specializes in evidence-based educational interventions and experiential learning in biomedical engineering education. Her research spans two primary themes: Imaging & Computational Biology, and Human Interfacing Devices. She develops innovative pedagogical approaches including active learning frameworks and technology-enhanced curriculum design. Harandi's publications focus on engineering education reform, examining: Gender disparities in program selection Active learning with digital media Homework behavior analytics Integrated STEM curriculum development Video-based learning frameworks She has developed and teaches courses including BMEG 220 (Circuits and Electromagnetics), BMEG 321 (Bioinstrumentation), and the capstone design course BMEG 457.

Purang Abolmaesumiمشاهده پروفایل

استاد

• Medical Imaging
• Computer-Assisted Surgery
• Machine Learning
• +۲ مورد دیگر

Dr. Purang Abolmaesumi is Professor and Canada Research Chair in Biomedical Engineering at the University of British Columbia's Department of Electrical and Computer Engineering, with cross-appointments in Urologic Sciences and the School of Biomedical Engineering. His internationally recognized research program develops advanced techniques in medical imaging analysis, machine learning for healthcare, and computer-assisted interventions. His research focuses on developing AI-driven solutions for medical challenges, particularly in ultrasound-based diagnostics for cardiovascular conditions (aortic stenosis, left ventricular function) and cancer detection (prostate, endometrial). His team works on improving robustness in medical AI through uncertainty quantification, federated learning, and domain adaptation techniques. Current projects include real-time cancer detection in micro-ultrasound, automated echocardiogram analysis, and trustworthy AI frameworks for clinical deployment. Analysis of Dr. Abolmaesumi's recent publications reveals strong emphasis on improving clinical applicability of AI through: 1) Enhanced uncertainty quantification in diagnostic models 2) Development of federated learning approaches for multi-center studies 3) Novel methods for continual learning in healthcare 4) Integration of foundation models with medical domain knowledge 5) Conformal prediction frameworks for reliable classification. His work consistently translates technical innovations toward solving concrete clinical problems in cardiac and cancer diagnostics. His scientific contributions have been recognized through major awards including the Killam Faculty Research Prize, Killam Award for Excellence in Mentoring, and Canada Research Chair appointment. As a leading researcher in medical AI, he has supervised numerous graduate students and postdoctoral fellows who have advanced to academic and industry positions. Dr. Abolmaesumi directs research laboratories focused on medical image computing and AI for healthcare applications. His team collaborates extensively with clinical partners at Vancouver General Hospital and the Vancouver Prostate Centre to validate technologies in real clinical environments. Future research directions include developing real-time AI guidance systems for interventions and creating robust diagnostic frameworks deployable across diverse healthcare settings.

Oluwakemi Olaمشاهده پروفایل

استاد آموزشی

• Computing Education
• Data Visualization
• Public Health Informatics
• +۳ مورد دیگر

Oluwakemi Ola is an Associate Professor of Teaching in the Department of Computer Science within the Faculty of Science at the University of British Columbia (UBC). She specializes in computing education, focusing on pedagogy, curriculum development, and inclusive learning environments. Her work addresses challenges in global education, particularly in African contexts, and explores innovative teaching practices such as autograding systems and strategies to support student well-being. Ola has received prestigious awards including the UBC Killam Teaching Prize (2021) and the UBC Computer Science Department 2018 Faculty Teaching Award. Her research emphasizes classroom climate improvement, academic integrity, and the integration of socio-emotional activities in STEM education. She has taught courses like Computational Thinking, Programming Foundations (CPSC 110), and Data Visualization (DSCI 320), reflecting her commitment to foundational computer science education. Ola has contributed to numerous conferences, including SIGCSE, and published on topics ranging from pandemic-era team dynamics to the design of health data visualizations for public health decision-making. Awards: UBC Killam Teaching Prize 2021, UBC CS 2018 Teaching Award Key Research Themes: Inclusive pedagogy, global computing education, autograding innovation, classroom well-being Ola’s work bridges theory and practice, advocating for evidence-based teaching methods that promote diversity and equity in computing education. She has collaborated on projects to adapt lesson delivery for evolving classroom sizes and design visualizations for public health challenges like vector-borne disease control.

Andrew DeOrioمشاهده پروفایل

استاد

• Computer Science Education
• Software Engineering
• Medical Device Security
• +۳ مورد دیگر

Andrew DeOrio is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. He specializes in computer science education, software engineering, and medical device security. His teaching includes large courses such as EECS 280 (Programming and Data Structures) and EECS 485 (Web Systems), with a focus on innovative pedagogical strategies. He has developed tools like Madoop (a lightweight MapReduce framework) and contributed to open-source projects like TapirX for medical device discovery. His research spans hardware debugging, medical device cybersecurity, and educational technologies. Notable contributions include work on post-silicon validation of multi-core processors and anomaly detection in medical devices. He has won the Provost's Teaching Innovation Prize and the ECE Division Best Diversity Paper Award. DeOrio advises numerous students, many of whom pursue careers in tech or academia. His labs and collaborations include OpenHealthSoftware and the University of Michigan’s Center for Research on Learning and Teaching.

Paul Yorkمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer Vision
• Assistive Technologies
• +۵ مورد دیگر

Dr. Paul York is an Assistant Professor in the Department of Computer & Cyber Sciences at Augusta University's School of Computer and Cyber Sciences. He holds an MS in Computer Science from Georgia Institute of Technology (2017), a Ph.D. in Management Information Systems from the University of Georgia (2011), and a BBA in Management Science from the University of Georgia (1994). His research focuses on artificial intelligence, assistive technologies, social media, and educational technology, emphasizing technologies that improve lives through innovation. Dr. York has over 30 years of professional experience in computer science and information systems. Notable research contributions include the development of telehealth systems for Parkinson’s patients, automated grading software (Auger), and assistive technologies like START and KinectEx. His work bridges technology and societal impact, exploring topics such as green IS, open-source business models, and technology-augmented rehabilitation. Teaching Focus : Software development, systems analysis, and database management systems (courses like AIST 3410 and AIST 2110). Service : Served as Chair of SCCS Academic Affairs Committee (2017–2018) and currently chairs the Biomedical Systems Engineering Proposal Committee (2021–present). Active in university governance through roles like AU Senate Bylaw Committee member (2019–2020). Awards : Presidential Graduate Fellowship (UGA) and Edward T. Comer Fellowship (UGA). His interdisciplinary approach addresses challenges in healthcare technology, environmental sustainability, and educational pedagogy, reflecting a commitment to advancing both academic and practical applications of computer science.

• Additive Manufacturing
• Laser Technology
• Materials Science
• +۵ مورد دیگر

Prof. Henning Ahlers is a Professor in the Department of Mechanical Engineering at Hannover University of Applied Sciences and Arts. His research focuses on advanced manufacturing technologies, particularly additive manufacturing, laser processes, and materials science. Key areas include laser wire bonding, functional graded materials, and the integration of optical and thermal components. His work emphasizes applications in aerospace, automotive, and optomechanical systems, with a focus on material efficiency, process optimization, and system design. Notable projects involve developing coaxial laser deposition systems for multifunctional components and investigating in-situ alloying techniques for enhanced material properties. Research Projects: Includes studies on laser cladding, defect detection in additive manufacturing, and the generative manufacturing of optical/thermal components. Key Contributions: Pioneering work in laser double-wire directed energy deposition, material intermixing behavior analysis, and additive manufacturing of glass and polymer materials. Prof. Ahlers' academic contributions span over two decades, with publications addressing topics from early 2000s machine tool concepts to cutting-edge 2020s additive manufacturing innovations.

Christopher L Kreiderمشاهده پروفایل

استادیار

• Information Security
• Password Systems
• AR/VR Authentication
• +۴ مورد دیگر

Christopher L Kreider serves as an Assistant Professor in the School of Engineering and Computing at Christopher Newport University, where he also directs the Cybersecurity and Information Science Programs. His academic journey includes a Ph.D. in Information Systems/Cyber Security from Dakota State University (completed February 2024), an MS in Computer Science from Georgia Tech, an MIT from Virginia Tech, and a BS in Information Science from CNU itself. As a military spouse, his academic path involved navigating multiple relocations before returning to his alma mater to teach. Kreider's research focuses on three primary areas: Information Security (particularly password systems and AR/VR authentication), Online Communities (with extensive Wikipedia research), and Healthcare Information Systems. His work bridges theoretical cybersecurity principles with practical applications, often examining the human factors in security systems. His recent publications demonstrate a strong emphasis on novel authentication methods for emerging technologies, cybersecurity education frameworks, and community dynamics in online platforms. His publication record shows consistent output in top information systems venues including AMCIS, SAIS, and the Journal of the Southern Association for Information Systems, with a noticeable increase in AR/VR security research since 2021. Kreider's work combines technical security concerns with human-centered design principles, particularly examining how users interact with security systems in immersive environments. SAIS 2020: Best in Track Paper for 'A Framework for Describing Alternative Keyboard Structures in Augmented Reality' 2nd Annual Virginia Cybersecurity Education Conference, 2019: 3rd Place Capture the Flag Competition 1st Annual Virginia Cybersecurity Education Conference, 2018: 1st Place Capture the Flag Competition SAIS 2015: Best Paper for 'Request for Adminship (RFA) within Wikipedia' Kreider actively mentors graduate students, serving as committee chair for cybersecurity-focused master's theses. He has held significant service roles including SAIS VP Conference Chair (2023), VP Program Chair (2022), and Board Member. His professional engagement extends to the Virginia Peninsula ISC2 Chapter where he regularly presents on current cybersecurity topics. Kreider also contributes to the English Wikipedia as an elected administrator, demonstrating his commitment to open knowledge communities.

Ali Rezaeiمشاهده پروفایل

استاد

• Computer applications in education
• Technology-assisted learning
• Educational assessment
• +۳ مورد دیگر

Ali Rezaei is a Professor in the Department of Advanced Studies in Education and Counseling at California State University, Long Beach (CSULB). He holds a Ph.D. from the University of Calgary (1999) and has taught at institutions including City University of New York, Minnesota State University, and universities in Iran. His research focuses on technology applications in education, assessment, and gender studies. Education: Ph.D., University of Calgary, Canada, 1999 Research Interests: Computer applications in education and assessment Collaborative learning strategies in online/physical environments Gender representation in educational materials Technology-enhanced learning environments Recent Research Trends: His work emphasizes innovative uses of technology in education, including immersive learning environments, interactive video platforms, and assessment methodologies. Key themes include student engagement, groupwork dynamics, and the impact of digital tools on conceptual learning. Committee Roles: Assessment Coordinator, Assessment & Accreditation Office Member of University Resources Committee, Faculty Council, and Educational Technology Committee Labs/Teams: Involved in active learning classroom initiatives and technology integration projects.

Ali Unalمشاهده پروفایل

استادیار

• Creative Writing
• Literary Studies
• Speculative Fiction
• +۵ مورد دیگر

Assistant Professor Ali Unal is a Turkish-born fiction writer and educator at Central Washington University (CWU). He teaches creative writing (fiction and nonfiction), literary journal design & production (through the department's magazine Manastash ), and has expressed interest in teaching speculative fiction and cinema courses. He earned his creative writing education at the University of Massachusetts Amherst and the University of Louisiana at Lafayette. Research Interests: Literary Craft Development Speculative Fiction Narrative Structures Emerging Technologies in Education Human-AI Interaction Intercultural Communication Writing Pedagogy Notable Work Trends: His recent writings explore speculative concepts in technology-human interaction including AI-assisted creativity, thought-visualization wearables, smart environments, and future transportation systems. While not traditional academic publications, these works demonstrate his engagement with technological futures and literary innovation. Contact: Email: Ali.Unal@cwu.edu