جست‌وجوی استاد و پژوهشگر

Christopher D. Harveyمشاهده پروفایل

استاد

• Neuronal circuit dynamics
• Decision-making
• Spatial navigation
• +۳ مورد دیگر

Christopher D. Harvey is a Professor of Neurobiology at Harvard Medical School and Director of PiN Admissions. His research focuses on understanding how neuronal circuits in the mammalian cortex perform computations related to decision-making, working memory, and spatial navigation. He utilizes advanced techniques including virtual reality, optogenetics, and computational modeling to study neural dynamics in mice. Harvey earned his Ph.D. from Cold Spring Harbor Laboratory and his B.S. from Vanderbilt University. He has received numerous awards, including the NIH Director’s Pioneer Award and the National Academy of Sciences Troland Research Award. His lab investigates cortical circuits using state-of-the-art imaging and behavioral paradigms to link neural activity to behavior. Education: Ph.D., Cold Spring Harbor Laboratory, 2008 B.S., Vanderbilt University, 2003 (Biomedical Engineering and Molecular/Cellular Biology) Research Interests: Harvey's work combines experimental and theoretical approaches to study how cortical circuits encode information during navigation and decision-making. His lab develops tools like the Harvey Lab miniaturized VR rig and DeepEthogram for automated behavior analysis. Current projects include investigating error-correction signals in inhibitory neurons and the functional architecture of posterior cortical networks. Awards: National Academy of Sciences Troland Research Award (2024) NIH Pioneer Award (2020-2025) Harvard Medical School Harold Amos Award (2022) Society for Neuroscience Young Investigator Award (2018) Advising & Grants: Harvey mentors a diverse team of postdocs and graduate students focusing on neurobiology and computational neuroscience. His funding includes NIH grants for studying cortical networks and mechanisms of decision-making. He has pioneered projects linking synaptic wiring to behavior and developed novel viral drivers for cell-type-specific studies. Labs & Collaborations: The Harvey Lab at Harvard Medical School collaborates with institutions like Janelia Research Campus and Cold Spring Harbor Laboratory. Their work is supported by resources such as the DANDI Archive for open data sharing and GitHub repositories for code and experimental protocols.

Jennifer Nelsonمشاهده پروفایل

مدرس ارشد

• Virtual Reality
• Human-Machine Interaction
• Human Movement Behavior
• +۳ مورد دیگر

Jennifer Nelson is a Senior Lecturer in the Department of Earth, Atmospheric, and Planetary Sciences at Purdue University, located in West Lafayette, Indiana. Her office is situated in HAMP 4284. She is affiliated with the College of Science and maintains active research in human-virtual interaction systems. Her research focuses on understanding how humans interact with virtual environments, particularly in crowded scenarios. Key themes include analyzing avoidance behaviors in response to virtual characters, studying the effects of rendering styles on human movement, and developing frameworks to model human-crowd interactions in immersive virtual reality settings. Recent work emphasizes the impact of virtual character dynamics (speed, density, direction) on human navigation patterns, as well as perceptual factors like gesture recognition and proximity effects. Her studies often involve creating experimental frameworks to quantify behavioral responses under varying virtual conditions. No scientific awards or grants are explicitly listed in the provided materials. While no advising information is available, her publications suggest involvement in collaborative research teams focused on virtual reality applications. She contributes to Purdue's initiatives in computational behavioral studies and immersive technology development.

Tim Kacprowskiمشاهده پروفایل

استاد

• Medical Informatics
• Data Science
• Network Medicine
• +۹ مورد دیگر

Summary Prof. Tim Kacprowski is a Professor and Head of Data Science in Biomedicine at the Peter L. Reichertz Institute for Medical Informatics (PLRI), jointly affiliated with TU Braunschweig and Hannover Medical School. His research focuses on integrating computational methods with biomedical challenges, particularly in network medicine, federated learning, and alternative splicing analysis. Key projects include the development of the NeDRex platform for drug repurposing and the FeatureCloud framework for privacy-preserving federated learning in healthcare. Research Interests His work spans multiple domains: Network Medicine: Leveraging molecular networks for disease module identification and drug discovery. Data Science: Advanced analytics for biomedical data, including ECG monitoring, microbiome studies, and flow cytometry. Federated Learning: Developing decentralized AI systems to protect patient data while enabling collaborative research. Alternative Splicing: Investigating splicing patterns in diseases like cancer and kidney disorders. Publications Trends Recent publications emphasize tools for drug repurposing (NeDRex-Web), ethical AI in clinical decision-making, and microbiome dynamics in chronic diseases. His work bridges computational methods with clinical applications, addressing challenges in precision medicine and healthcare technology. Labs & Collaborations As head of the Data Science group at PLRI, he leads interdisciplinary teams advancing biomedical informatics. Collaborations span institutions in Germany and internationally, focusing on translational research and AI-driven healthcare solutions.

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.

Ramy Shaabanمشاهده پروفایل

دانشیار

• Gamification in Education
• Virtual Reality (VR) in Learning
• Medical Education Technology
• +۵ مورد دیگر

Ramy Shaaban is an Associate Professor in the Department of Instructional Technology & Learning Sciences at Utah State University (USU), serving as the HEDI BS Program Coordinator. He holds a PhD in Communications Media and Instructional Technologies (Indiana University of Pennsylvania, 2020), an MA in Adult Education and Communications Technology (Indiana University of Pennsylvania, 2015), and an MD from Alexandria Faculty of Medicine (2009). His work bridges medical and educational technology, focusing on gamification, VR, and simulation-based learning. Ramy’s research emphasizes emerging technologies in education, particularly in medical training. He has secured grants for VR simulation labs, developed online courses for first responders (e.g., ACT for Autism project), and pioneered Alexandria Virtual Medical School—a simulation platform awarded the Khalifa Award (2010). He advises the USU Esports Club and coordinates recruitment/retention efforts in his department. His awards include the Khalifa Award for Best Educational Innovation in the Middle East, Alexandria University’s accreditation contribution award, and a Google/Egypt award for educational digital initiatives. Ramy has authored over 20 peer-reviewed publications and presented globally on topics like healthcare communication barriers, virtual patients, and VR in education. Ramy’s technical expertise spans multimedia production (Adobe Premiere, 3D animation), game design, and instructional design. He actively seeks grants to fund learning games and internship networks for students, aiming to bridge academic training with industry needs.

Sergey Dyachenkoمشاهده پروفایل

استادیار

• Applied mathematics
• Nonlinear waves
• Scientific computing
• +۳ مورد دیگر

Sergey Dyachenko is an Assistant Professor in the Department of Mathematics at the University at Buffalo, New York. He holds a PhD in Applied Mathematics from the University of New Mexico (2014) and a BS in Applied Physics and Mathematics from Moscow Institute of Physics and Technology (2007). PhD: University of New Mexico BS: Moscow Institute of Physics and Technology His research focuses on nonlinear wave phenomena and fluid dynamics, particularly singularity formation in free-surface flows like water wave breaking and whitecapping. He employs computational mathematics and applied analysis to study: Free surface wave dynamics Stokes wave singularities Wave turbulence theory Integrable systems (NLS, KdV) Recent publications analyze: Stokes wave instabilities Capillary wave propagation Conformal mapping techniques Operator splitting methods Contact: Office: 312 Mathematics Building, UB North Campus Email: sergeydy@buffalo.edu

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.

Daniel Burkeyمشاهده پروفایل

دانشیار

• Engineering Education
• Ethics Education
• Game-Based Learning
• +۳ مورد دیگر

Daniel Burkey is an Associate Professor and Associate Dean for Undergraduate Education and Diversity at the University of Connecticut (UConn) College of Engineering. He holds the Castleman Term Professorship in Engineering Innovation. His academic background includes a Ph.D. in Chemical Engineering from MIT (2003), an M.S. from MIT (2000), a B.S.E. from Lehigh University (1998), and an M.A.Ed. in Educational Psychology from UConn (2023). His research focuses on engineering education ethics, game-based learning, and process safety. Notable projects include developing immersive training environments for process safety decision-making and creating card games to enhance ethical awareness among engineering students. He also investigates chemical vapor deposition techniques for membrane distillation applications. Burkey has served as Director of the AIChE Education Division (2017-2023) and on the Chemical Engineering Education publication board (2018-2021). His awards include the David Himmelblau Award (2023) and multiple recognitions for teaching excellence. Current research group members include Ph.D. students Arpita Kurdekar and Tori Wagner. Former advisees hold academic and industrial roles, such as Courtney Pfluger (Northeastern University) and Landon Bassett (UConn STEM Coach). His work blends educational innovation with technical research, emphasizing student engagement and ethical development through novel pedagogical approaches.

Mohammad Mannanمشاهده پروفایل

استاد

• Systems Security
• Privacy
• Mobile Security
• +۵ مورد دیگر

Mohammad Mannan is a Professor at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on systems security, privacy, mobile security, machine learning applications in security, authentication mechanisms, and trusted computing. He actively supervises students in Information Systems Security (MASc) and Information and Systems Engineering (PhD) programs. Dr. Mannan's work emphasizes real-world security challenges, including vulnerabilities in IoT platforms, privacy issues in mobile apps and websites, and cryptographic protocol weaknesses. He has contributed to developing tools like WARNE for stalkerware detection and LURK-T for TLS delegation improvements. His research bridges theoretical security concepts with practical implementations, addressing threats such as ransomware, phishing, and privacy violations in digital ecosystems. Key areas of exploration include analyzing JavaScript vulnerabilities in real-world applications, evaluating privacy policies of AI chatbots, and mitigating risks in super-apps like WeChat. His publications often highlight the intersection of security and privacy, with a focus on measurable solutions for emerging technologies like smart devices and enterprise security software. Despite no explicitly listed awards or grants, his extensive publication record demonstrates sustained contributions to cybersecurity and privacy research. His advising role reflects a commitment to training the next generation of security professionals in addressing complex modern threats.

Marcia Schulmeisterمشاهده پروفایل

استاد آموزشی

• Hydrogeology
• Geochemistry
• Environmental Geology
• +۴ مورد دیگر

Dr. Marcia Schulmeister serves as Director and Teaching Professor in the Environmental Geology Programs at the University of Kansas Edwards Campus, with a dual appointment in the Department of Geology. With over 30 years of experience, she specializes in applied hydrogeology and geochemistry, focusing on contaminated site remediation and groundwater management. Her professional work spans government agencies in the U.S., China, Thailand, and Germany, addressing soil and groundwater contamination challenges. Dr. Schulmeister holds prestigious titles including Fellow of the Geological Society of America and Fulbright Scholar. She contributes to academic leadership as associate editor for professional journals and serves on multiple boards. Her research explores innovative methods like electrical resistivity tomography and direct-push geochemical profiling, with recent emphasis on virtual geology education and international environmental projects in Thailand and Vietnam. Key Expertise: Hydrogeology field methods, contaminant transport modeling, karst terrain studies International Experience: Collaborations in China, Thailand, Germany, and Vietnam Teaching Innovation: Pioneering online geoscience education for non-traditional students Her work integrates field-based learning through the Robert P. Harrison Field Station and virtual museum tours. Current research trends emphasize climate change impacts on groundwater systems and geohazard mitigation for infrastructure protection.

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.

Todd Chernerمشاهده پروفایل

استاد

• Digital Literacy
• Educational Technology (EdTech)
• Design Thinking
• +۳ مورد دیگر

Dr. Todd Cherner is a Professor in the Curriculum and Instruction Department at the UNC School of Education , University of North Carolina at Chapel Hill. With a career spanning K-12 teaching and higher education, he focuses on leveraging technology to promote equity and critical literacy. He holds a B.S. (2004) from the University of Central Florida, M.Ed. (2008) from Clemson University, and Ph.D. (2012) from the University of Tennessee. His research examines how implicit biases manifest in educational technologies and explores equitable technology integration strategies. Key areas include critical media literacy, AI ethics in education, and bridging the gap between extended reality (XR) tools and classroom practice. He has been honored with the University Teaching Awards (2022-23) for his innovative approaches. Recent work emphasizes generative AI frameworks for educators, AI literacy in teacher preparation, and immersive learning through XR. His scholarship spans over two decades, with publications in journals like Contemporary Issues in Technology and Teacher Education and International Journal of Multicultural Education . Cherner collaborates with educators to design inclusive instructional technologies and advocates for systemic reforms addressing privatized funding in education. His lab focuses on creating accessible tools that empower both teachers and students through technology.