جست‌وجوی استاد و پژوهشگر

Jeff Applingمشاهده پروفایل

استاد

• Science Education
• Educational Technology
• Student Retention Strategies
• +۳ مورد دیگر

Dr. Jeff Appling is a Professor in Engineering and Science Education and Associate Dean of Undergraduate Studies at Clemson University. His roles involve advancing educational technologies and supporting undergraduate academic programs. Education: Ph.D., Georgia Institute of Technology, 1985, Physical Chemistry B.S., Georgia Institute of Technology, 1980, Textile Chemistry Research Interests: Dr. Appling focuses on enhancing science education through technology, such as CD-ROM and internet tools. He developed the Discover Chemistry interactive learning program and examines retention strategies for underprepared students. His recent work explores ePortfolios' role in general education and syllabus design. Awards: He has received the Clemson University Board of Trustees Award for Faculty Excellence (1998, 1996), Michelin Excellence-In-Teaching Award (1995), and induction into Georgia Tech's Outstanding Young Engineering Alumni (1995). Advising & Grants: While specific grant details are limited, his research often involves collaborative projects with students on ePortfolio integration and technology-driven teaching methods. He has advised students on syllabi design and digital learning tools. Labs/Teams: No specific labs or teams are mentioned in the provided information.

• Computer Science
• Data Analytics
• Software Engineering
• +۱ مورد دیگر

Dave Voorhis is a Lecturer in Computing at the University of Derby's Department of Electronics, Computing and Mathematics. His research bridges computer science and environmental applications, with expertise in data processing architectures, game design evolution, and cloud-based computational frameworks. Research interests focus on relational database systems , big data analytics in educational contexts , and computational methods for environmental monitoring . His work demonstrates consistent innovation in applying computing principles to solve practical problems across diverse domains. Publication analysis reveals sustained contributions to: Satellite data processing techniques for climate science Foundational database architecture research Pedagogical approaches for data science education This interdisciplinary output establishes significant connections between computational theory and real-world implementations.

Yiannis Saridakisمشاهده پروفایل

استاد

• Applied Mathematics
• Scientific Computing
• Parallel Algorithms
• +۸ مورد دیگر

Professor Yiannis Saridakis serves as a Professor in the Department of Sciences at the Technical University of Crete, leading the Applied Mathematics and Computers Laboratory. He holds a Mathematics degree from the University of Crete (1981) and M.Sc./Ph.D. in Applied Mathematics & Computer Science from Clarkson University (1983/1985). His research focuses on numerical methods, parallel algorithms, stochastic optimization, cellular automata, and AI applications. He has coordinated projects like the TU Crete Library portal and digitization initiatives. His work bridges computational mathematics with environmental, biomedical, and engineering challenges. Education B.Sc. Mathematics, University of Crete (1981) M.Sc. Applied Mathematics & Computer Science, Clarkson University (1983) Ph.D. Applied Mathematics & Computer Science, Clarkson University (1985) Research Interests His research spans Recursive Linear Systems Solving , Numerical Methods for PDEs , Parallel Computing Architectures , Stochastic Optimization (e.g., adaptive optics, aquifer management), Cellular Automata , and Artificial Intelligence applications like agent-based systems and ambient intelligence. Key Contributions Prof. Saridakis pioneered GPU-accelerated Hermite collocation methods, Fokas transform applications in tumor modeling, and ALOPEX stochastic optimization for water resource management. He has published >50 papers in top journals and conference proceedings. Labs & Leadership Director of the Applied Mathematics and Computers Laboratory . Former Department Chair (1997–1999) and Vice-Rector (1999–2005) at TU Crete.

Olha Matsyiمشاهده پروفایل

استادیار

• Operations Research
• Mathematical Optimization
• Computer Science
• +۳ مورد دیگر

Olha Matsyi serves as an Assistant Professor (post-doc) within the Division of Applications of Contemporary Mathematical Analysis at Lodz University of Technology, with contact details including email olha.matsyi@p.lodz.pl and phone (+48) 42 631-36-17. Her research focuses on Operations Research and Mathematical Optimization, specializing in combinatorial algorithms for location theory, knapsack problems, community detection, and VLSI routing. She employs metaheuristic and bio-inspired methods to solve NP-hard optimization challenges, bridging theoretical mathematics with engineering applications in healthcare logistics and crisis management. Publications from 2020-2025 demonstrate increasing emphasis on real-world implementations like mobile medical service optimization and decision support systems, alongside theoretical advances in continuous coverage and constrained classification. Collaborative work with researchers such as Oksana Pichugina highlights her interdisciplinary approach to algorithm design. No scientific awards were documented. Information regarding student mentorship, research grants, or specific laboratory teams was not provided in the source material.

Chris Rogersمشاهده پروفایل

استاد

• Engineering Education
• Human-Robot Interaction
• Mechanical Engineering
• +۶ مورد دیگر

Chris Rogers is a Professor of Mechanical Engineering at Tufts University School of Engineering and a Professor of Education at Tufts University School of Arts and Sciences. He serves as the John R. Beaver Professor and a CEEO Fellow , focusing on Engineering Education , Human-Robot Interaction , and Educational Robotics . His work bridges Mechanical Engineering with Artificial Intelligence and Music Engineering . Education: PhD in Mechanical Engineering, Stanford University (1989) MS in Mechanical Engineering, Stanford University (1985) BSME, Stanford University (1984) Research Interests center on STEM Engagement , Educational Technology Development , and Teacher Professional Development . He designs tools like Smart Motors and LEGO-based platforms to enhance K-12 engineering education. His work explores Augmented Reality , Reinforcement Learning , and Accessible Makerspaces . Recent Publications demonstrate trends in Robotics Education , AI Integration , and Collaborative Learning Frameworks . Key themes include Low-Cost Hardware , K-12 AI Literacy , and Visual Instructional Design . Scientific Awards Tufts ASME 'Best Professor Award' Harry C. Bigglestone Award National Science Foundation Director’s Distinguished Teaching Scholar Award LabVIEW Programming Prize Robert Knapp Award for Best Paper (ASME) Grants and Projects include collaborations with LEGO Foundation , National Science Foundation , and Parametric Technology Corporation . His initiatives span Preparation for Indonesian STEM Education , Autism Therapy Robotics , and Novel Engineering-Literacy Integration . Labs & Outreach: As founding member of the Tufts Center for Engineering Education and Outreach (CEEO) , he develops global teacher training programs and tools like LEGOEngineering.com , impacting thousands of educators annually.

Gigliola Vagliniمشاهده پروفایل

استاد

• Distributed Systems Verification
• Model Checking
• Machine Learning Applications
• +۲ مورد دیگر

Gigliola Vaglini is Full Professor of Computer Engineering at the University of Pisa's Department of Information Engineering. She teaches Software Systems Engineering and Databases, with research focusing on formal specification and verification of concurrent/distributed systems. Her work integrates model checking methodologies with machine learning techniques for industrial anomaly detection and mobile security applications. She has participated in multiple research projects funded by the Italian Ministry of University and Research, National Research Council, and European Community. Research Focus: Vaglini's work bridges theoretical computer science and practical applications, developing verification frameworks for complex systems while creating AI solutions for real-world problems. Her current investigations span swarm intelligence coordination, structural monitoring via digital twins, and multimodal deep learning architectures. Recent publications demonstrate cross-disciplinary approaches combining formal methods with machine learning, particularly in environmental monitoring, structural engineering, and neural architecture design. This reflects a consistent pattern of translating theoretical computer science concepts into applied technological solutions.

Marzieh Ahmadzadehمشاهده پروفایل

دانشیار

• Computer Science Education
• Human-Computer Interaction
• Applied Data Mining
• +۳ مورد دیگر

Dr. Marzieh Ahmadzadeh is an Associate Professor (Teaching Stream) at the Department of Electrical Engineering & Computer Science, York University. She holds a Ph.D. and MSc in Information Technology (Software Engineering) from the University of Nottingham, UK, and a BSc in Computer Engineering from Isfahan University. A certified Professional Engineer (P.Eng.) in Ontario, she has held academic positions at Shiraz University of Technology, University of Toronto, and University of Georgia, USA before shifting her focus to education research in 2015. Education: Ph.D., Information Technology (Software Engineering), University of Nottingham (2006) MSc, Information Technology (Software Engineering), University of Nottingham (2002) BSc, Computer Engineering, Isfahan University Her research intersects Computer Science Education and Human-Computer Interaction , with a focus on Applied Data Mining for educational analytics and security applications. She has published in prestigious venues like ACM SIGCSE, IEEE Transactions, and Future Generation Computer Systems. Recent publications demonstrate expertise in: Exam design and cognitive load optimization Ransomware detection in fog computing environments Breast cancer survivability modeling with imbalanced data Gender preferences in e-commerce UX design Academic integrity analysis in programming education

Frank Spearمشاهده پروفایل

استاد

• Metamorphic Geochemistry
• Crustal Evolution
• Thermodynamic Modeling
• +۳ مورد دیگر

Frank Spear is a Professor of Earth and Environmental Sciences at Rensselaer Polytechnic Institute (RPI), holding the Edward P. Hamilton Distinguished Educator Chair. His research focuses on metamorphic geochemistry, including crustal evolution and thermodynamic modeling of metamorphic processes. He leads a research group studying metamorphic petrogenesis, phase equilibria, and tectonics, with active field projects in locations like the Adirondacks and Greece. Spear has developed influential software tools such as Gibbs , MADPlotter , and GeoBaRamanTry for petrological analysis. Education: Ph.D., University of California, Los Angeles (1976); B.A., Amherst College (1971). Research Interests : His work emphasizes pressure-temperature-time (P-T-t) path reconstruction using inclusion barometry and diffusion modeling. Key themes include garnet growth mechanisms, subduction zone dynamics, and the application of modern techniques like Raman spectroscopy and isotope fractionation analysis. Recent projects explore the role of metamorphic overstepping in fluid dynamics and seismic activity. Awards & Recognition Walter H. Bucher Medal (AGU, 2024) Murchison Medal (Geological Society of London, 2012) Dana Medal (Mineralogical Society of America, 2007) Fellowships from GSA, AGU, and MSA Teaching : Spear teaches courses in structural geology, metamorphic petrology, and phase equilibria, emphasizing analytical problem-solving. Current offerings include Advanced Phase Equilibria and Aqueous Geochemistry . Labs & Collaborations : His group collaborates on global metamorphic datasets and maintains open-source software for the geoscience community. Research is supported by grants exploring garnet nucleation kinetics and subduction zone processes.

Wesley Turnerمشاهده پروفایل

مدرس ارشد

• Computational Linear Algebra
• Forensic Facial Reconstruction
• Cancer Detection and Characterization
• +۵ مورد دیگر

Wesley Turner is a Senior Lecturer in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). His research spans computational methods in healthcare, forensic reconstruction, and industrial applications, with a focus on solving interdisciplinary challenges through mathematical modeling and software development. Notable research areas include: Computational Linear Algebra: Hierarchical preconditioning for large-scale finite element analysis. Forensic Facial Reconstruction: Statistical modeling of facial flesh depth using medical imaging. Cancer Detection: Automated lesion characterization in CT/MRI scans. Manufacturing Inspection: Virtual environments for anomaly detection and CAD alignment. Big Data in Healthcare: Secure data exchange and domain expert-friendly analysis tools. Education: Integration of H/FOSS projects into computing curricula. His publications reflect collaborations across disciplines, with emphasis on medical imaging, open-source software, and surgical simulation frameworks like OpenSurgSim. While no formal awards are listed, his work highlights practical applications of computational methods in real-world scenarios. Turner's recent articles focus on: 2023: Educational models for H/FOSS projects 2018-2016: Game-based diagnostics, surgical simulation frameworks 2013-2011: Medical image analysis, occlusion detection, and 3D registration 2010: Forensic facial approximation and CT volumetric measurement tools

Dawn Greggمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Technology Adoption
• Decision Support Systems
• +۴ مورد دیگر

Dr. Dawn G. Gregg is a Full Professor and Discipline Director for Information Systems at the CU Denver Business School. She also serves as Director of Assurance of Learning and previously held roles including Associate Dean of Programs and Administrative Director of the Bard Center for Entrepreneurship. She founded Developing Minds Software and holds a PhD in Information Systems from Arizona State University, alongside an MBA and MS in Information Systems. Education : PhD Information Systems, Arizona State University MS Information Systems, Arizona State University MBA, Arizona State University West BS Mechanical Engineering, University of California at Irvine Research Focus : Dr. Gregg explores human-technology interaction, technology adoption, decision support systems, and sustainability in IS. Her work integrates psychology and decision science to study user engagement with digital platforms, including geospatial reasoning and review systems. Current research emphasizes sustainability frameworks in IS research. Article Trends : Her recent work addresses online review dynamics, geospatial decision-making, and digital trust. Key themes include user perception of digital information quality, the impact of demographics on technology use, and the design of effective decision-support tools. Awards : Outstanding Service Award (2018) Excellence in Faculty Mentoring (2018) CU Denver Outstanding Educational Program Award (2010) Dean's Scholar Award (2008) Outstanding Tenure-Track Teacher (2005) Advising & Grants : Dr. Gregg has advised students like Michael Erskine (2007 award winner) and led projects funded through competitions like the Bard Center Business Plan Competition (2008). No specific grants are listed, but her work reflects interdisciplinary collaboration with industry and academia. Labs & Teams : Her research often involves cross-functional teams studying digital platforms, decision-making tools, and educational gaming (e.g., Emerge2Maturity simulation).

• Music Technology
• Interactive Music Systems
• Musical Expression and Gesture Analysis
• +۴ مورد دیگر

Teresa Nakra is a Professor and Director of Music & Technology at Stevens Institute of Technology’s School of Humanities, Arts and Social Sciences. Previously, she held roles as Professor of Music and Design at The College of New Jersey (TCNJ) and Adjunct Assistant Professor at Worcester Polytechnic Institute. Her research focuses on musical expression, gesture analysis, and interactive systems, with notable contributions like the Conductor’s Jacket and the Digital Baton. She has collaborated with institutions like the Boston Symphony Orchestra and Robert Wood Johnson University Hospital on music & health initiatives. Education: PhD (2000) and MS (1996) in Media Arts & Sciences from MIT, BA (1992) in Music (magna cum laude) from Harvard University. Her 2024 book Constructing Music: Musical Explorations in Creative Coding (Oxford University Press) is a seminal work in the field. Research Interests: Quantifying conducting gestures for interactive systems, music technology education, health applications of music, and interdisciplinary collaboration between arts and sciences. Her work bridges music performance, computer science, and robotics, as seen in projects like conducting robots and museum installations. Articles highlight her focus on synchronous audience-conductor dynamics, immersive pedagogy, and robotics in music education. Awards include the Excellence in Technology Education Award (2008) and induction into Phi Kappa Phi (2018). Grants and Projects: Over $400K in funding for initiatives like TCNJ’s Center for Creative Technology, health communication projects with Colgate-Palmolive, and NSF grants for conducting robotics research. She advises on curriculum design at K-12 and university levels, including a 6th-grade music program in NJ. Labs/Teams: Founder of Immersion Music, Inc. (1999–2021), a nonprofit developing music technologies for artists and institutions. Current collaborations include a music & health design project with Robert Wood Johnson University Hospital.

Samuel Mulderمشاهده پروفایل

عضو هیئت علمی

• Cyber Security
• Program Analysis
• Reverse Engineering
• +۲ مورد دیگر

Samuel Mulder is an Associate Research Professor in the Department of Computer Science and Software Engineering at Auburn University. He holds a Ph.D. in Computer Science from Missouri S&T, along with an M.S. and B.S. in Computer Science from Missouri S&T and Texas Tech University, respectively. His research focuses on cybersecurity, program analysis, reverse engineering, adversarial analysis, and machine learning applications. He is affiliated with the Center for Artificial Intelligence and Cybersecurity Engineering within the College of Engineering. His research interests include developing immersive virtual reality techniques for binary reverse engineering, modeling adversarial competition in satellite communication systems (P-LEO constellations), and enhancing cybersecurity through dynamic defense mechanisms like moving target defense. He has contributed to frameworks for tracking cyber adversaries using adaptive indicators of compromise and improving solver algorithms for constraint satisfaction problems. Mulder's work spans both theoretical advancements (e.g., neuromorphic computing surveys) and applied solutions (e.g., supply chain binary program assessments). His recent efforts emphasize gamification of competitive cybersecurity scenarios and embodied cognition approaches to software analysis. While no scientific awards are explicitly listed, his contributions reflect impactful work in cybersecurity innovation. He collaborates with Auburn's engineering research centers, particularly in AI-driven cybersecurity solutions. His advising and grant activities are not detailed in the provided text, but his research aligns with Auburn's focus on interdisciplinary engineering challenges.

Michael Bewongمشاهده پروفایل

مدرس ارشد

• Data Science
• Artificial Intelligence
• Cyber Security
• +۳ مورد دیگر

Dr. Michael Bewong is a Senior Lecturer in Computing at Charles Sturt University, specializing in Data Science, AI, and Cyber Security. He holds a PhD and BSc (Hons) from the University of South Australia. His roles include teaching database-related subjects and conducting research in data analytics and cyber security. Previously, he worked as a Research Fellow at UniSA, collaborating with Data to Decisions CRC on projects like 'Beat the News' (predictive data mining) and 'Predicting Cyber Security Exploits' (machine learning for vulnerability analysis). Education: PhD in Computing, University of South Australia BSc (Hons) in Computing, University of South Australia Research Interests: Focuses on applying data analytics and machine learning to solve real-world problems in cyber security, agriculture, and health. His work integrates AI-driven solutions for cyber threat detection, privacy-preserving data publication, and smart farming systems. Current projects include analyzing UAV threats to agriculture and developing frameworks for false information detection on social media. Articles Trends: Recent publications emphasize cyber security (e.g., threat hunting, exploit prediction), AI ethics (fairness algorithms), and precision agriculture (UAV threats, data-driven farming). Collaborations span interdisciplinary teams addressing challenges in graph data imputation, federated learning, and privacy techniques like LDP. Awards: Holds 12 prizes (specific names not listed in provided texts). Advising & Grants: No explicit student advisees listed. Collaborations include grants from Data to Decisions CRC and Food Agility Cooperative Centre. Labs/Teams: Affiliated with Data Science and Engineering Research Unit, Cyber Security Research Group (CSRG), and Advanced Network Research Group (ANRG) at Charles Sturt University.

Ramaraju Rudrarajuمشاهده پروفایل

استادیار

• Medical Informatics
• Machine Learning in Healthcare
• Cardiovascular Surgery Outcomes
• +۴ مورد دیگر

Ramaraju Rudraraju is an Assistant Professor in the Department of Computer Science within the College of Arts and Sciences at the University of Alabama at Birmingham (UAB). He holds a dual affiliation with the Department of Cardiovascular/Thoracic Surgery since 2017. His work bridges computational methods with medical and educational challenges, focusing on healthcare informatics, predictive modeling, and educational technology. Research interests include machine learning applications in cardiovascular surgery outcomes, pediatric transplantation equity, intelligent tutoring systems, and assistive technologies for disabled populations. He has contributed to frameworks for collaborative knowledge management in educational settings and developed voice-based programming interfaces for motor-impaired individuals. His publications highlight trends in analyzing clinical data from LVAD implantations, optimizing healthcare systems through patient experience, and leveraging deep learning for disease phenotyping. Notable works include studies on racial disparities in pediatric heart transplants and improving mortality predictions via advanced machine learning techniques. Rudraraju’s academic contributions span healthcare innovation, medical device analytics, and educational technology design, reflecting a multidisciplinary approach to solving complex real-world problems through computational methods.

• Organizational Learning
• Action Learning
• Participatory Action Research
• +۷ مورد دیگر

Craig Johnson is a dedicated academic in the School of Management at the University of Bradford, where he has been a full-time faculty member since 2002. With nearly two decades of combined experience in both public and private sectors prior to academia, his background includes software engineering for fire service training simulators, operations management for the national fire service computer system (FINDS), and consultancy work for Dublin Fire and Ambulance Service. His research focuses on organizational learning, action learning methodologies, and the learning organization concept. Johnson's work bridges theory and practice, with particular attention to how management theories develop as social movements. His PhD research examined social movement theory in relation to learning organizations through survey responses from FTSE- and AIM-Listed companies' executives. Johnson's publication record shows a consistent trajectory from foundational work on learning organizations to contemporary applications in areas like responsible AI and digital health. His recent work demonstrates increasing engagement with global challenges and uncertain environments, reflecting the evolving nature of organizational theory in the 21st century. The research spans multiple sectors including healthcare, public administration, and technology-driven industries. His teaching portfolio includes specialized courses such as Project Management, Competitiveness Through Technology and Innovation, Digital Health and Informatics, and Responsible AI: Ethics, Law and Governance. These courses reflect his ability to connect theoretical frameworks with practical, real-world applications across different industry contexts. PhD in Organisational Behaviour MA in Management by Action Learning Diploma in Research Methods Diploma in Management Studies Postgraduate Certificate in Higher Education Practice Higher National Diploma in Computing Technology