جست‌وجوی استاد و پژوهشگر

Kelly Best Lazarمشاهده پروفایل

استادیار

• Sedimentology
• Coastal Geology
• Geoscience Education
• +۵ مورد دیگر

Dr. Kelly Best Lazar is an Assistant Professor in the Department of Engineering and Science Education and the Department of Environmental Engineering and Earth Sciences at Clemson University. She holds a Ph.D. in Geological Sciences from The Ohio State University (2014), an M.S. in Geology from East Carolina University (2010), and a B.S. in Geology from North Carolina State University (2007). Her research spans sedimentology, coastal geology, and geoscience education, focusing on Quaternary environmental change, hurricane history reconstruction, ocean acidification, and broadening participation in STEM. Dr. Lazar also leads initiatives in virtual reality field experiences and experiential learning to enhance geoscience education. Her professional experience includes roles at Clemson since 2018, a postdoctoral fellowship (2016–2018), and prior teaching/research positions at The Ohio State University and Capital University. She is actively involved in professional organizations like the Geological Society of America and the National Association of Geoscience Teachers. Lazar’s research has produced over 40 refereed publications and conference presentations, emphasizing interdisciplinary collaboration and student-centered pedagogy. Key contributions include developing the GeoXploration mobile app and advancing VR tools for geoscience education. She has secured multiple NSF grants totaling over $3M, including leadership in projects like BASIC Needs and PROSPECT S-STEM. Her awards include the 2019 CNSF Exhibition invitation and QRM Scholar recognition (2021–2022). Lazar advises numerous graduate students, focusing on geoscience education and coastal systems. She actively promotes diversity in STEM through outreach programs and serves on university-wide committees, including the Faculty Senate and Global Engagement initiatives.

Scott Brameمشاهده پروفایل

عضو هیئت علمی

• Environmental Geology
• GIS Applications
• Hydrogeology
• +۳ مورد دیگر

Scott Brame is a Research Assistant Professor at Clemson University's Department of Environmental Engineering and Earth Sciences. He specializes in applying spatial analysis techniques and GIS to address environmental and geological challenges. His work includes real-time spatial analysis applications, such as modeling constructed wetlands for water treatment, gas storage cavern feasibility, and aquifer systems. Brame holds an M.S. in Hydrogeology (Clemson University, 1993) and a B.S. in Geologic Engineering (New Mexico Tech, 1983). Education: M.S., Hydrogeology, Clemson University, 1993 B.S., Geologic Engineering, New Mexico Institute of Mining and Technology, 1983 His research interests span environmental geology, GIS applications, hydrogeology, and spatial modeling. He has developed innovative methods for integrating geocaching and virtual reality into geoscience education, enhancing experiential learning. His projects often involve collaborations with industry and government agencies, such as the U.S. Department of Energy, focusing on carbon storage and subsurface resource management. Publications highlight his contributions to education technology, environmental contamination analysis, and reservoir engineering. His work on PCB contamination in Lake Hartwell and gas storage cavern design showcases interdisciplinary applications of GIS and statistical methods. Awards: Vincent E. Nelson Memorial Award, AAPG Eastern Section (2004) Clemson University Board of Trustees Faculty Excellence Award (2006) Brame advises students through courses like GEOL 4210 GIS Applications in Geology and GEOL 4750 Summer Geology/Hydrogeology Field Camp . His research is supported by grants from the Gas Storage Technology Consortium and U.S. DOE, totaling over $6M in funding for geophysical monitoring technologies and subsurface storage innovations. His involvement with laboratory teams includes the HydroMechanics Research Group, focusing on CO2 storage monitoring and subsurface strain analysis. Future work emphasizes advancing optical fiber sensor technologies for real-time geophysical data collection.

Pouyan Ahmadiمشاهده پروفایل

دانشیار

• Wireless Networks
• Machine Learning
• IoT Security
• +۵ مورد دیگر

Pouyan Ahmadi is an Associate Professor in the Department of Information Sciences and Technology at George Mason University. His research focuses on wireless networks, IoT security, machine learning, and education technology. He holds a PhD in Electrical and Computer Engineering (George Mason University), MS in Architecture of Computer Systems (Iran University of Science and Technology), and BS in Computer Engineering (Azad University). Research interests include cooperative communications, cross-layer network design, relay deployment strategies, and applying machine learning to network security and educational analytics. Notable areas of expertise involve IoT intrusion detection, supply chain RFID implementations, and analyzing student performance through LMS data. His publications span cybersecurity, machine learning applications in education, and wireless network optimization. Recent work emphasizes predictive modeling for student outcomes and improving intrusion detection systems using advanced algorithms. He has contributed to both theoretical frameworks and practical implementations in MANETs and emergency response networks. Labs/Teams: No specific lab/team affiliations explicitly mentioned in the provided information.

Vic Mattaمشاهده پروفایل

استاد

• Consumer Behavior
• Pedagogy
• Technology Adoption
• +۳ مورد دیگر

Vic Matta is a Professor of Analytics & Information Systems at Ohio University's College of Business. He holds a Ph.D. in Industrial Systems (2008) and an M.S. from Ohio University. His research focuses on consumer behavior, pedagogy, user motivation, and technology adoption. He teaches courses in business analytics, information systems, and strategic IT use, and has received multiple teaching awards including the COB Faculty Excellence in Professional Activity & Service (2020) and Senior Teaching Fellow at the Bruning Academy. His professional experience includes IT project management, systems administration, and database administration. Dr. Matta's research spans educational technology innovations, such as plagiarism prevention in Excel assignments and automated grading systems. He has published extensively on topics like team formation algorithms, digital detox behaviors, and RFID adoption in supply chains. He serves as Industry Editor and Co-Editor for the Journal of IT & Case Application Research. His work emphasizes practical applications of technology in education and industry, with a focus on improving learning outcomes and organizational effectiveness.

• Liquid Crystals
• Materials Science
• Optical Devices
• +۵ مورد دیگر

Dr. Philip J. Bos is a Professor in the Chemical Physics Interdisciplinary Program and Associate Director of the Liquid Crystal Institute at Kent State University. His research focuses on liquid crystal devices and applications, including the invention of the pi cell and alignment methods for SmC* devices. He has contributed to advancements in display technologies, optical beam steering, and tunable lenses. Education: PhD in Physics (Kent State University), MA and BA in Physics (Kent State and Hope College) Employment: Over 40 years at Kent State, including roles as Professor, Associate Director, and Interim Director of the Liquid Crystal Institute. Research interests span liquid crystal alignment, electro-optics, and applications in displays and photonics. He has developed courses like 'Liquid Crystal Displays' and 'Liquid Crystal Device Prototyping.' Key Achievements: Slottow-Owaki Prize (2010) for contributions to display education Fellow of the Society for Information Display Distinguished Scholar Award (Kent State, 2006) Advised over 30 PhD and Master’s students in liquid crystal-related research. Collaborated on professional activities, including roles in the Society for Information Display and international conferences. Developed liquid crystal technologies for beam steering, thermal imagers, and tunable lenses, addressing challenges in 3D displays and virtual reality.

Hy Truong Sonمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Drug Discovery
• +۶ مورد دیگر

Dr. Hy Truong Son is an Assistant Professor in the Department of Computer Science at the University of Alabama at Birmingham (UAB), affiliated with the College of Arts and Sciences. He holds a Ph.D. in Computer Science from the University of Chicago and has prior experience as a Lecturer and Postdoctoral Fellow at the Halicioglu Data Science Institute, UC San Diego. His research focuses on AI-driven solutions for science and engineering, particularly deep learning applications in drug discovery, repurposing, and biomedical problem-solving through his HySonLab group. Dr. Son’s educational background includes a Ph.D. from the University of Chicago, emphasizing foundational training in computer science. His postdoctoral work at UC San Diego further solidified his expertise in data science and interdisciplinary AI applications. Research interests span AI for drug discovery, generative AI, multimodal learning, and healthcare technologies. His lab’s work integrates AI with molecular biology, medical imaging, and wearable sensor data to address challenges in precision medicine and environmental science. Notable projects include DrugPipe for drug repurposing and SilVar-Med for explainable medical imaging analysis. His recent publications highlight advancements in generative models, speech synthesis, protein design, and scalable graph neural networks. These works reflect a focus on bridging AI with real-world biomedical and engineering applications. While no awards are explicitly listed, his prolific publication record and active lab indicate significant contributions to the field. He advises students and engineers in his team, fostering collaborative research environments. Ongoing projects include wearable device datasets for mental health and multimodal biomedical knowledge graph development. Dr. Son’s HySonLab group emphasizes translational research, aiming to deploy AI solutions in clinical and scientific settings. Current efforts include optimizing molecular interactions via large language models and enhancing drug discovery pipelines through interdisciplinary computational methods.

Mark Stockmanمشاهده پروفایل

دانشیار

• Cybersecurity
• Cloud Computing
• Virtualization
• +۶ مورد دیگر

Mark A. Stockman is an Associate Professor at the University of Cincinnati, specializing in cybersecurity, cloud computing, and system administration. He holds a BS in Industrial and Systems Engineering from Ohio University's Russ College of Engineering and Technology (1992) and an MBA in Management from Ohio University's College of Business (1994). His research focuses on integrating social science principles into cybersecurity education, developing cloud-based educational infrastructure, and analyzing cybercrime prevention strategies. Notable contributions include pioneering work on honeynet systems for hacker behavior analysis and organizational cybersecurity victimology frameworks. Stockman has published extensively on topics like insider threat mitigation, IT curriculum design, and virtualization technologies. His work bridges technical cybersecurity practices with organizational risk management, emphasizing interdisciplinary approaches to modern IT challenges. He has advised on multiple educational initiatives including cloud lab development and remote-access systems for computing disciplines. His publications reflect a commitment to advancing both technical and pedagogical innovations in information technology.

Chengzhou Tangمشاهده پروفایل

استادیار

• 3D Computer Vision
• Deep Learning
• Robotics
• +۳ مورد دیگر

Chengzhou Tang is an Assistant Professor in the Department of Computer Science at the University of Manitoba. His research focuses on 3D computer vision, deep learning, robotics, and embodied artificial intelligence. He leads the Spatial Intelligent System (SPINS) Lab, exploring topics such as 3D object reconstruction, camera localization, and video processing techniques. His work spans applications in robotics, virtual reality, and computational imaging. Dr. Tang's research interests include developing novel algorithms for multi-view diffusion models, deep recurrent optimizers, and subspace methods. He has contributed to advancements in video depth estimation, point cloud processing, and stabilization of 360-degree videos. His recent work emphasizes generative models and embodied AI, addressing challenges in sparse-view 3D reconstruction and scene-agnostic camera localization. His publications reflect a trend toward integrating deep learning with traditional computer vision problems, such as structure-from-motion and SLAM (Simultaneous Localization and Mapping). The SPINS Lab collaborates on projects involving global bundle adjustment networks and initialization-robust monocular SLAM systems. While no awards or grants are explicitly listed, his active publication record indicates sustained research engagement in these areas. Dr. Tang’s academic profile highlights his contributions to foundational techniques in computer vision and their practical applications in robotics and AI systems. His work bridges theoretical advancements with real-world challenges in imaging and spatial intelligence.

Michael A. Benderمشاهده پروفایل

استاد

• Algorithms
• Data Structures
• Cache and I/O-Efficient Computing
• +۷ مورد دیگر

Michael A. Bender is the John L. Hennessy Chaired Professor of Computer Science at Stony Brook University. His work spans both theoretical and applied domains in algorithms, data structures, and storage systems. He co-founded Tokutek, Inc., a database company acquired by Percona in 2015, and has held visiting positions at MIT and King's College London. Education: PhD in Computer Science from Harvard University (1998), DEA and Magistère in Computer Science from École Normale Supérieure de Lyon (1993), BA in Applied Mathematics from Harvard (1992). His research focuses on cache-oblivious algorithms , I/O-efficient computing , parallel systems , and scheduling . His work addresses scalability in large-scale data management and computational geometry, with applications in bioinformatics and robotics. The 15 most recent publications highlight advancements in list labeling , hash table design , graph algorithms , and memory optimization . These papers reflect his commitment to solving practical problems with rigorous algorithmic approaches. Awards include: PODS Best Paper Award (2024) ASPLOS Distinguished Paper Award (2023) USENIX FAST Best Paper Award (2016) Chancellor's Award for Excellence in Teaching (2015) R&D 100 Award (2006) He has led the Stony Brook Computer Science Honors Program and advised graduate students in algorithmic research. His grants portfolio includes 39 funded projects, emphasizing algorithm engineering and systems optimization.

Bruce Jacobمشاهده پروفایل

استاد

• Memory Systems
• Computer Architecture
• Memory Devices
• +۷ مورد دیگر

Bruce Jacob is a Professor in the Cyber Science Department within the School of Engineering, Computing, and Weapons at the United States Naval Academy, where he joined in Fall 2022. Prior to USNA, he served as a professor of Electrical & Computer Engineering at the University of Maryland for 25 years, establishing himself as a leading expert in memory systems and computer architecture. Dr. Jacob received his A.B. in Mathematics from Harvard in 1988 and his Ph.D. in Computer Science & Engineering from The University of Michigan in 1997. Before graduate school, he worked in Boston start-ups as a software engineer at Boston Technology and later as chief engineer and system architect at Priority Call Management, which was successfully acquired in the late 1990s. His research focuses on memory systems, computer architecture, and memory devices, with significant contributions to memory system design across industry and government sectors. Jacob has designed computer-system architectures and memory-system architectures for major organizations including Micron (Hybrid Memory Cube DRAM architecture), Cray (Black Widow memory system), Northrop Grumman (experimental ultra-low-power datacenter), and the European Commission (1024-core Teraflux chip). His work spans resistive memory systems, non-volatile memory, memory simulation, and hardware security. His publication record demonstrates consistent leadership in memory systems research, with recent work focusing on ReRAM development, trusted execution environments for in-storage computing, and advanced memory simulation techniques. His research shows a clear trajectory toward monolithic memory integration, 3D stacking, and addressing the semantic gap between software and memory systems. Fellow of the IEEE Patent in memory-systems design Three patents in electric guitar circuit design Featured in Washington Post, Los Angeles Times, Chronicle of Higher Education, and NPR for guitar-related innovations Jacob has written two textbooks on computer memory systems and numerous articles spanning memory systems, computer design, embedded systems, operating system design, and even ventured into astrophysics and algorithmic composition. His DRAMsim memory simulator has become an industry standard tool. His practical industry experience complements his academic work, having consulted for major technology companies on memory system design challenges.

Justin Y. Shiمشاهده پروفایل

دانشیار

• Scalable Computing
• Blockchain Protocols
• Software Safety
• +۵ مورد دیگر

Justin Y. Shi is an Associate Professor at Temple University's Computer and Information Science Department. His research focuses on scalable computing, blockchain protocols, software safety, and infinitely scalable systems. He holds a PhD from the University of Pennsylvania and has held roles including Interim Director of the Center for Advanced Computing and Communications (1992-1998) and CIS Department Chair (2007-2009). B.S. Computer Engineering, Shanghai Jiao-tong University (1977) M.S. Software Engineering, University of Pennsylvania (1983) PhD in Concurrent Programming, University of Pennsylvania (1984) His research explores decoupling programs and data from physical devices to achieve fault tolerance and scalability. Key contributions include the Statistic Multiplexed Computing (SMC) paradigm and foundational work on parallel algorithms and distributed systems. He has authored patents on scalable parallel computing and high-performance blockchain systems. Teaching highlights include courses on quantum computing, cybersecurity, and fullstack programming. He has advised over 15 students, many now in industry and academia. Founder & CEO of Parallel Computers Technology Inc. (2000-2017) Co-founder of SMC Labs (2022-present) Active in editorial roles for IEEE Blockchain Technology Briefs and contributor to NSF workshops on cloud computing. His work has been exhibited at Supercomputing Conferences (1991-2018).

Laurie Peacheyمشاهده پروفایل

استاد

• Nursing Education
• Maternal-Child Simulation
• Clinical Training
• +۲ مورد دیگر

Dr. Laurie Peachey is a Full Professor in the School of Nursing within Nipissing University's Faculty of Education and Professional Studies. A Canadian Certified Simulation Nurse Educator and Perinatal Nurse Specialist, her research examines practical education methodologies with emphasis on maternal-child simulation, new graduate transitions, and imaginative thinking in nursing practice. Education includes BScN (Laurentian University), MN (Athabasca University), PhD (Nipissing University), and Simulationist certification from the California Simulation Alliance. Research focuses on: Simulation design/evaluation Clinical imagination development Francophone virtual simulation Perinatal nursing transitions Publications demonstrate consistent focus on simulation efficacy, with recent work exploring pandemic-driven virtual practicum adaptations. Awards include an RNAO Advanced Clinical Practice Fellowship and Best Research Poster (Sim-one 2017). Leadership includes founding roles in the Ontario Simulation Alliance and Canadian Alliance of Nurse Educators using Simulation. Current projects include developing LGBTQI2S virtual simulations (CIHR-funded) and studying compassion fatigue in graduate nurses.

Elisa Baniassadمشاهده پروفایل

استاد آموزشی

• Software Engineering
• Educational Technology
• Aspect-Oriented Programming
• +۳ مورد دیگر

Elisa Baniassad is a Teaching Professor in the Department of Computer Science at the University of British Columbia (UBC), within the Faculty of Science. She specializes in software engineering education and has received numerous teaching accolades including the UBC Killam Teaching Prize and CS-Can/INFO-CAN Excellence in Teaching Award. Her courses focus on software construction, engineering principles, and advanced software design. Dr. Baniassad has taught CPSC 310 (Introduction to Software Engineering), CPSC 210 (Software Construction), and CPSC 410 (Advanced Software Engineering) across multiple terms since 2000. Her research interests span educational methodologies in software engineering, aspect-oriented programming, and the design of effective learning tools. Notable contributions include studies on team dynamics in software development, automated assessment techniques, and pedagogical frameworks for large-scale programming courses. She has authored over 50 peer-reviewed articles on topics ranging from mutation analysis in student tests to the efficacy of online learning environments. Awards include recognition for teaching excellence at UBC and contributions to computer science education. Her work emphasizes practical applications of software engineering principles in academic settings, with a focus on fostering student mastery through innovative assessment strategies and feedback mechanisms.

Chamith Wijenayakeمشاهده پروفایل

مدرس ارشد

• multidimensional signal processing
• digital hardware architectures
• FPGA based system design
• +۳ مورد دیگر

Dr. Chamith Wijenayake is a Senior Lecturer - Teaching Focused at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a PhD in Electrical and Computer Engineering from the University of Akron (2014) and a BSc (Hons) in Electronic and Telecommunications Engineering from the University of Moratuwa, Sri Lanka (2007). His research focuses on multidimensional signal processing, digital hardware architectures, FPGA-based systems, machine learning accelerators, and engineering education. He has received notable awards, including the 2011 Outstanding Student Research Award and the 2014 IEEE Circuits and Systems Pre-Doctoral Award. Education: BSc (First Class Honours) from University of Moratuwa (2007), PhD from University of Akron (2014). His doctoral work contributed to advancements in signal processing and hardware architectures. Research interests span multidimensional signal processing, FPGA-based system design, and engineering education innovations. He develops low-complexity algorithms for light field processing and multidimensional filters for imaging, sensing, and biomedical applications. His work emphasizes practical implementations in hardware accelerators and educational technologies. Outstanding Student Research Award, University of Akron, 2011 IEEE Circuits and Systems Pre-Doctoral Award, 2014 Teaching and Advising: Focuses on blended learning approaches and project-based instruction in electrical engineering. Prior roles include Lecturer at UNSW Sydney (2015–2019). No explicit student advisee records listed. Grants and collaborations are not detailed in provided texts. Labs/Teams: Involved in multidisciplinary projects integrating signal processing with hardware design, though specific lab affiliations are not specified.

• Metamaterials
• Photonic Crystals
• Terahertz Technology
• +۴ مورد دیگر

Professor Boris Kuhlmey is a Professor at the School of Physics, University of Sydney, and a member of the Sydney Nano Institute. His research focuses on metamaterials, photonic crystals, and terahertz technology, with applications in imaging, waveguides, and energy transfer. He has authored the book Foundations of Photonic Crystal Fibres and over 100 peer-reviewed publications. Key projects include developing terahertz imaging techniques, exploring light sails for interstellar travel, and advancing metamaterial fabrication through fiber-drawing methods. His work bridges fundamental physics with practical applications, spanning photonics, nanotechnology, and aerospace engineering. Notable contributions include subwavelength imaging via virtual superlensing and 3D-printed terahertz couplers that improve signal quality. He leads grants on superconducting cavities for quantum coupling and nanostructured textiles for sustainable energy solutions. Professor Kuhlmey collaborates widely, with recent conference presentations at META Conferences and SPIE events. His research has been featured in Science & Vie , Universe Today , and New Scientist , highlighting breakthroughs in invisibility cloaks and stable lightsail propulsion systems.