جست‌وجوی استاد و پژوهشگر

Raman Adaikkalavanمشاهده پروفایل

استاد

• Information Security (IoT, Android)
• Data Streaming
• Computer Science Education
• +۳ مورد دیگر

Dr. Raman Adaikkalavan is a Professor in the Department of Computer and Information Sciences at Indiana University South Bend (IUSB), and serves as Associate Vice Chancellor for Enrollment Management. He holds a Ph.D. in Computer Science and Engineering from the University of Texas at Arlington (2006), and has extensive academic leadership experience. His research focuses on information security (particularly IoT and Android), data streaming, and computer science education. Notable contributions include developing the IU Test web-based assessment tool and advancing secure data stream processing architectures. Education: B.E. (1999) from Bharathidasan University, M.S. and Ph.D. (2002/2006) from University of Texas at Arlington, with additional certificates in online teaching (2013). Research emphasizes practical applications like secure stream processing in cloud environments and improving pedagogical methods through active learning. His work has been supported by NSF grants and institutional funding. Awards include the IU Trustees' Teaching Award (2011) and recognition as a University Scholar (UT Arlington). He advises students on topics like secure data stream processing and software engineering. Collaborations include projects with Dr. Indrakshi Ray (Colorado State) and Dr. Sharma Chakravarthy (UT Arlington). His IU Test system aids in program assessment and accreditation reporting for ABET.

Aftab Ahmadمشاهده پروفایل

استاد

• Machine Learning
• Cyber Security
• Public Health Prediction
• +۵ مورد دیگر

Aftab Ahmad is a Professor in the Department of Computer Science at the City University of New York (CUNY), specializing in cybersecurity and machine learning applications. He holds a Doctor of Science from George Washington University. His research focuses on developing machine learning algorithms for cyber threat intelligence (CTI) and public health prediction, along with designing secure generative deep learning models resistant to reverse-engineering. Key research areas include: Cybersecurity frameworks and privacy-preserving architectures Generative adversarial networks (GANs) with embedded security features Biomedical signal analysis and human body channel modeling Secure wireless protocols for critical infrastructure His publication trends emphasize: Privacy metrics and data protection mechanisms Smart grid and IoT security Neuroscience-inspired machine learning models Wireless network vulnerability assessments No scientific awards or grants were explicitly mentioned in the provided texts. He teaches advanced courses in computer security and network forensics at undergraduate and graduate levels. No advising relationships or lab affiliations were detailed in the available information.

Cláudia Reisمشاهده پروفایل

استادیار

• Coastal Engineering
• Structural Engineering
• Natural Hazards Engineering
• +۵ مورد دیگر

Cláudia Reis is an Assistant Professor at Lehigh University with a joint appointment in the Department of Civil & Environmental Engineering and the Institute for Cyber-Physical Infrastructure and Energy (I-CPIE) within the P.C. Rossin College of Engineering and Applied Science. She teaches courses in Coastal and Offshore Infrastructure Engineering, Structural Analysis I, and Finite Element Method in Structural Engineering. Her research focuses on fluids-solids interaction in coastal and offshore engineering, multi-risk management, and multi-scale/multi-physics modeling of critical infrastructure in multi-hazard regions. Dr. Reis leads the NHERI Lehigh Experimental Facility as a Co-Principal Investigator and chairs the Advanced Technology for Large Structural Systems (ATLSS) Engineering Research Center. She has secured grants including a PITA Grant ('Resiliency of Coastal Infrastructure') and a PEER Transportation Systems Research Program project ('Cascading Seismic and Tsunami Loads for the Design of Open Wharves'). Her work integrates computational methods like smoothed particle hydrodynamics (SPH) and finite volume techniques to address tsunami and earthquake impacts. She contributes to national/international committees such as NHERI and FIB, and serves on editorial boards and grant review panels. Dr. Reis' research emphasizes infrastructure resilience, cascading hazards, and exascale computing applications for natural hazard mitigation.

Houria Oudghiriمشاهده پروفایل

استاد آموزشی

• Computer Science
• Big Data
• Computer Architecture
• +۷ مورد دیگر

Houria Oudghiri is a Teaching Professor in the Department of Computer Science & Engineering at Lehigh University. She earned her PhD in Computer Engineering from McGill University in 1999 and has held academic positions at Ecole Supérieure d’Informatique (Algiers, Algeria), Effat University (Jeddah, Saudi Arabia), and SUNY Polytechnic Institute (Utica, NY). Her career spans 20+ years in academia, with expertise in computer architecture, programming, and data structures. PhD, Computer Engineering, McGill University, 1999 Her research focuses on Big Data discretization techniques, hardware-software co-design for digital systems, and educational assessment frameworks. Her work on threshold analysis and scheduling algorithms reflects interdisciplinary applications in computational theory and system optimization. Current research trends include high-level synthesis of digital systems, data preprocessing for machine learning, and pedagogical evaluation methodologies. She has contributed to understanding design space exploration in embedded systems and weighted scheduling algorithms for resource allocation. Houria works in Packard Lab at Lehigh University, where she teaches foundational computing courses. Her academic journey reflects a global perspective with experiences in Algeria, Saudi Arabia, and the United States.

Min Shinمشاهده پروفایل

استاد

• Computer Vision
• Multiple Object Tracking
• Automated Visual Inspection
• +۴ مورد دیگر

Min Shin is a Professor and Chair of the Computer Science Department at the University of North Carolina at Charlotte (UNC Charlotte), where he also serves as Assistant Dean for Research in the College of Computing and Informatics. He earned his Ph.D. in Computer Science & Engineering from the University of South Florida in 2001. His research focuses on Computer Vision, particularly multiple object tracking and automated visual inspection of nuclear power plants. He leads the Video and Image Analysis Lab, developing user-friendly tracking software funded by NSF, NIH, DARPA, and industry grants. Notable projects include the ABCTracker.org platform, which deploys algorithms refined over 10+ years of research. Dr. Shin’s work spans tracking applications in diverse domains such as ants, bees, cells, termites, robots, and vehicles. He has mentored Ph.D. and undergraduate students extensively, emphasizing computational methods in biology and engineering. His service includes roles as Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics-B, and program committees for top conferences (ICCV, CVPR, ECCV). His grants and collaborations reflect interdisciplinary strengths in vision algorithms, usability, and real-world deployment.

Carol J. Smithمشاهده پروفایل

عضو هیئت علمی

• Artificial Intelligence
• User Experience (UX)
• Ethical AI
• +۳ مورد دیگر

Carol J. Smith is an Adjunct Instructor at Carnegie Mellon University's Human-Computer Interaction Institute (HCII) and a Research Scientist at the Software Engineering Institute (SEI). She focuses on improving the design of AI/ML systems through UX and HCI methods to build trustworthy technologies. Her work emphasizes ethical AI, user trust, and human-AI collaboration. Research Interests: Trustworthy AI systems Ethical design of AI User experience (UX) in AI development Bias mitigation in machine learning Human-AI teaming frameworks Awards: 2023: Listed among 100 Brilliant Women in AI Ethics™ 2021–2025: ACM Distinguished Speaker Labs/Teams: Software Engineering Institute (SEI) HCII's AI Ethics and Trustworthiness Research Group

Eliana J. Schonbergمشاهده پروفایل

استاد

• Writing Studies
• Writing Center Pedagogy
• Student Writing Processes
• +۶ مورد دیگر

Eliana J. Schonberg serves as Professor of the Practice and Director of the TWP Writing Studio in Duke University's Thompson Writing Program within Trinity College of Arts & Sciences. Her leadership encompasses writing center administration, curriculum development, and interdisciplinary collaboration across Duke's academic units. Education Ph.D., University of Texas at Austin, 2006 Schonberg's research investigates student writing dispositions, self-efficacy, and knowledge transfer with particular focus on writing center dynamics. Her scholarship addresses anti-racist pedagogy implementation, multilingual writer experiences, and technology's impact on writing support, reflecting commitment to equitable educational practices. Recent work examines cross-institutional variations in writing center operations and consultant training. Analysis of her 2013-2023 publications reveals sustained investigation into writing center efficacy through mixed-methods approaches. Key trends include comparative studies of L1/L2 student experiences, assessment of digital writing platforms like WCOnline, and exploration of 'stealth' writing program integration. Her editorial work on The Writing Center Journal's 40th-anniversary issues highlights historical perspectives and transnational collaborations in the field. Grants 2021: Lead investigator for Duke Office for Faculty Advancement Seed Grant 'Increasing Racial Equity in the TWP Writing Studio,' funding anti-racist theory seminars for Writing Studio consultants Schonberg mentors students through independent studies (PSY/WRITING 293/393/394) and Literacy, Writing, Tutoring courses (EDUC/WRITING 255S), training future writing consultants while researching tutoring methodologies. Her professional service includes Duke's Faculty Curriculum on Anti-Racism (2021) and National Center for Faculty Development & Diversity's Faculty Success Program (2024). The TWP Writing Studio operates as Duke's central writing support hub under Schonberg's direction, employing faculty, graduate students, and undergraduates who provide discipline-specific writing consultation across all academic levels. The studio's focus on knowledge transfer and anti-racist pedagogy shapes its evolving consultation model.

• Cyber-Physical Systems
• Industry 4.0
• Augmented Reality
• +۴ مورد دیگر

Thomas Ludwig is a Professor of Information Systems with a focus on Cyber-Physical Systems at the University of Siegen. He holds a PhD (summa cum laude) from the same institution and has led numerous research initiatives in Industry 4.0, digital transformation, and human-centered technology design. His work spans augmented reality (AR), gamification, and AI integration in manufacturing. Ludwig co-founded and coordinates the 'Mittelstand 4.0-Kompetenzzentrum Siegen' to support SMEs in digitalization. He has authored over 50 publications in top-tier journals and conferences, including Computer Supported Cooperative Work (CSCW) and Proceedings of the ACM on Human-Computer Interaction . His research has been recognized with awards such as the IHK Preis 2017 for Best Dissertation and the Artur-Woll-Preis. Education: Diplom-Wirtschaftsinformatiker from University of Siegen (2012), PhD in Information Systems (2016), with a focus on socio-technical systems and mobile/social media research. Research Interests: Cyber-Physical Systems, AR applications, gamification design, AI in production planning, and digital competency frameworks for SMEs. He leads projects like Fusion, KOKOS, and EKPLO, addressing challenges in collaborative work, disaster management, and industrial digitalization. Grants & Projects: Projects include EU-funded EMERGENT, BMBF-funded KOKOS, and the self-acquired EKPLO initiative for APS systems in SMEs. He also coordinates the Zukunftszentren KI NRW and the EDIH Südwestfalen. Awards: 32. IHK Preis 2017, Artur-Woll-Preis, pwc-Preis, and multiple best paper awards at international conferences. Labs/Teams: Part of the Cyber-Physical Systems Lab at University of Siegen and the interdisciplinary team behind the 'Rendezfood' and 'Advanced Planning Systems' initiatives.

Asmus Skar Christiansenمشاهده پروفایل

دانشیار

• Pavement Engineering
• Geotechnical Engineering
• Sensing Technologies
• +۴ مورد دیگر

Asmus Skar Christiansen is an Associate Professor in Pavement Engineering at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU Sustain). He serves as Head of Study for the Nordic Master in Cold Climate Engineering programme and lectures on pavement engineering, Arctic road construction, and foundation design. His academic career at DTU spans from Postdoc researcher (2017-2019) to Assistant Professor (2020-2023) and current Associate Professor position since 2023. His research centers on pavement technology and geotechnics with specialization in: Development of advanced testing and modeling techniques for pavements Integration of modern sensing technologies in civil infrastructure Computational mechanics for soil-structure interaction Sustainable materials for cold climate engineering Recent work demonstrates a clear shift toward IoT-enabled monitoring systems and data-driven pavement assessment, with 80% of 2023-2025 publications focusing on sensor integration and machine learning applications. Notable scientific contributions include: Creation of open-source datasets (LiRA-CD, RIVA) for road condition modeling Development of thermomechanical models for heated pavements Innovations in waste soil reuse for infrastructure He actively supervises PhD candidates across multiple projects including GREENPIPE (self-sensing pipe systems) and urban pavement analysis, while maintaining industry consultancy through COWI A/S collaborations. Christiansen also contributes to sustainable infrastructure through DTU's alignment with UN SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities).

Meredith Carrollمشاهده پروفایل

استاد

• Aviation Human Factors
• Human-Autonomy Teaming
• Urban/Advanced Air Mobility (AAM/UAM)
• +۵ مورد دیگر

Dr. Meredith Carroll is a Professor of Aviation Human Factors and Director of the ATLAS Lab at Florida Institute of Technology's College of Aeronautics. She holds a B.S. in Aerospace Engineering from the University of Virginia, an M.S. in Aviation Science from Florida Tech, and a Ph.D. in Applied Experimental Psychology and Human Factors from the University of Central Florida. Her research focuses on human performance in aviation systems, including decision-making under stress, human-autonomy teaming, advanced air mobility (AAM), and cybersecurity education. Key research initiatives include: Investigating trust dynamics in human-agent teams funded by AFOSR User-centered design of multi-UAV ground control stations for NASA eVTOL battery display design and pilot interface studies Cybersecurity curriculum development for underrepresented high school students Adaptive flight training strategies funded by the Naval Air Warfare Center Her lab facilities include Florida Tech's Center for Aeronautics and Innovation with advanced flight simulators and UAS testing environments. Current projects explore VR training immersion effects, multi-agent team repair strategies, and AAM operational challenges. She advises 12+ graduate and undergraduate researchers and collaborates with industry partners like P17 Solutions and Rockwell Collins. Recent publications emphasize trust calibration in autonomous systems, IoT-based cybersecurity education, and adaptive training efficacy. She has secured grants from NASA, FAA, AFRL, ONR, and NAWC totaling over $5M in external funding.

Luis Javier Miguel Gonzálezمشاهده پروفایل

استاد

• Energy Systems
• Renewable Energy
• Sustainability
• +۳ مورد دیگر

Luis Javier Miguel González is a Professor in the Department of Systems Engineering and Automation at the University of Valladolid since 1997. He has transitioned from early work on automatic fault diagnosis and predictive maintenance to leading research on energy systems dynamics since 2004. He directs the Energy, Economics, and Systems Dynamics research group and has supervised five doctoral theses. His roles include managing the Department of International Development Cooperation, promoting initiatives like the Interuniversity Master's in International Development Cooperation and the University of Valladolid's Development Cooperation Observatory. Research focuses on energy transition pathways, integrating biophysical and socioeconomic constraints through models like MEDEAS. His work addresses systemic challenges such as the land-energy-food nexus, renewable energy variability, fossil fuel depletion, and decarbonization strategies. He has led projects under EU H2020 and national programs, emphasizing interdisciplinary approaches to sustainability. Publications span energy policy analysis, IAM development, and participatory education tools for sustainability. Notable contributions include the WILIAM System Dynamics model and pymedeas open-source software. His research bridges technical modeling with policy implications, addressing global challenges like SDG acceleration and climate mitigation.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

• Artificial Intelligence
• Automated Planning
• Temporal Reasoning
• +۴ مورد دیگر

Alfonso Emilio Gerevini is a prominent researcher in artificial intelligence with over 30 years of continuous academic contributions. His work spans theoretical foundations of automated planning to practical healthcare applications, with recent publications demonstrating significant impact in both traditional AI domains and emerging interdisciplinary areas. His research interests focus on automated planning systems , temporal reasoning , and multi-agent coordination , with recent expansion into healthcare applications using machine learning techniques. Gerevini has made fundamental contributions to planning algorithms, particularly in width-based search, case-based planning, and privacy-preserving multi-agent planning. His work on PDDL (Planning Domain Definition Language) has been influential in standardizing planning representations. Analysis of his 15 most recent publications reveals a strategic evolution from core planning research toward impactful healthcare applications, particularly during the COVID-19 pandemic. While maintaining his expertise in planning algorithms, he has successfully integrated machine learning techniques to address real-world medical challenges including radiology report analysis, prognosis prediction, and lab test interpretation. His work demonstrates exceptional versatility across both theoretical and applied domains of artificial intelligence. Gerevini maintains a robust collaborative network, primarily with Italian researchers including Ivan Serina, Alessandro Saetti, and Luca Putelli. His publications appear consistently in top-tier AI venues including Artificial Intelligence journal, Journal of Artificial Intelligence Research, and AAAI/ICAPS conferences. The collaborative patterns suggest he leads a significant research group focused on advancing planning systems while applying them to critical real-world problems.

Yvonne Dittrichمشاهده پروفایل

استاد

• Cooperative and Human Aspects of Software Engineering
• Continuous Software Engineering (CSE)
• Use Orientation in Software Engineering
• +۷ مورد دیگر

Yvonne Dittrich is a Professor at the IT University of Copenhagen (ITU), affiliated with the Software Development Group. She holds an adjunct professorship at IIT Mandi, India, and has held roles at institutions in Sweden, Canada, and the U.S. Her research focuses on cooperative and human aspects of software engineering, including Continuous Software Engineering (CSE), use-oriented design, and end-user development (EUD). She has led projects like SAIA-Farm (sustainable irrigation via satellite analytics) and contributed to frameworks like 'Cooperative Method Development.' **Education**: PhD in Computer Science (Hamburg University, 1997), M.Sc. from TU Darmstadt. **Research Interests**: She pioneers methods bridging software engineering with human-centric practices, emphasizing sustainability and participatory design. Her work addresses challenges in global software development, agile methodologies, and software ecosystems. **Awards**: TAT-Förderpreis (1989), Best Paper Award (2018), Distinguished Reviewer recognition (2018). **Grants & Leadership**: Led projects funded by the Danish Innovation Fund, EU, and others. Served on editorial boards for IEEE Transactions on Software Engineering and Journal of Systems and Software. **Labs/Teams**: Collaborates with labs in Denmark, India, and Canada on interdisciplinary projects, including smart irrigation systems and fintech ESG data commons.

Gabriele Kaiserمشاهده پروفایل

استاد

• Mathematics Education
• Mathematical Modelling
• Teacher Education
• +۶ مورد دیگر

Prof. Gabriele Kaiser is a Full Professor of Mathematics Education at the University of Hamburg’s Faculty of Education. She holds a part-time professorship at the Norwegian University of Science and Technology and an honorary professorship at the Australian Catholic University (ACU). Her research focuses on mathematical modeling, teacher professional competence, and comparative studies in education (East-West). She led the ICME-13 conference in 2016 and serves as former Editor-in-Chief of ZDM Mathematics Education. Key contributions include the TEDS research program on teacher education and the development of video-based assessment tools for teacher noticing. Awards include top Springer downloads for her edited volumes and leadership in international educational initiatives. Roles: Chair of ICME-13, Editor of ZDM, ICMI Representative, ICTMA President Affiliations: University of Hamburg, ACU Brisbane, University of Macau collaborations Research Interests: Mathematical modeling, teacher education, inclusive mathematics, flipped classrooms, and cross-cultural studies Her work emphasizes innovation in teacher training, classroom observation methodologies, and addressing diversity in mathematics education. Recent projects include studies on Chinese and German teachers’ competencies and the use of AR/VR in STEM education. Awards: Honorary professorships in Australia and Hong Kong, board member of Hamburg Scientific Foundation, and recognition for impactful publications.