Nikolaos Karathanasopoulos
Additive Manufacturing, Experimental Testing, Numerical Modeling, Composite materials and structures, Smart Structures, Machine Learning
Additive Manufacturing, Experimental Testing, Numerical Modeling, Composite materials and structures, Smart Structures, Machine Learning
Geotechnical Engineering, Tunneling, Transparent Soil Modeling, Water Resources, Geoenvironmental Engineering
Analytical inequalities, Integral geometry, Information theory, Machine learning, Data Science.
Global innovation (emerging markets), global technology strategy, entrepreneurship within corporate venues, managing growing enterprises and diversity within organizations
Immunotherapies, protein engineering, nanomaterials, inverse vaccines, regenerative medicine
Robotics, Optimization, Dynamics and Control, Legged Balance Stability, Robot Energetics
Mark Lee is currently involved with transforming the landscape of pharmaceutical and medical device manufacturing training at the corporate, governmental, and manufacturing floor level. His research…
Protein misfolding & aggregation, DNA & RNA folding and hybridization, glassy materials, colloids, polymers, liquid crystals,advanced multiscale modeling methods, data-enabled artificial intelligence…
Primary expertise: Fluid mechanics and turbulence. Other interests: complex fluids, nonlinear dynamics, nonequilibrium phenomena and cryogenic helium. Emerging interests: mathematical modeling of…
I am a PhD Candidate working with Prof. Shiv Panwar. I'm interested in the analysis of cross-layer interactions of network protocols in both experimental and analytical domains. I am building my…
Computer Security, Digital Safety, Human-Computer Interaction, Intimate Partner Violence
Machine Learning and Data Mining, with a particular focus on Graph Machine Learning, Foundation Model, Multimodal Learning, and Applications in Bioinformatics and Healthcare.
Machine Learning, Areas such as Deep Learning, AI for Science, Submodular Optimization, Computer Vision, and NLP.
Natural Language Processing, in which the goal is to equip intelligent agents with reasoning capacities and make them reliable and robust in real scenarios.
Problem-solving and reasoning in AI, Reinforcement learning, planning and search, Interpretability of deep learning models, AI for scientific discovery and math, Generalization and robustness of AI…
Theoretical Computer Science, Learning-Enabled Combinatorial Optimization, Responsible AI and Optimization
Domain-specific accelerators System-on-chip design VLSI and physical design Chiplet-based systems 2.5D/3D packaging Electronic design automation Open-source hardware and EDA Optoelectronic…
Bioanalytical and biophysical chemistry. Structure, function, and medical applications of the biomatrix surrounding cells, with special expertise in hyaluronan polysaccharide. Identification of…
-End-of-life mechanisms -Separation processes and mechanisms -Device manufacturing and testing
Fluid Mechanics Heat Transfer Marine Hydrodynamics CFD Numerical Methods Stability and Transition.
Biomedical Signal Processing Embedded System Design Communications/Communication Theory Medical Device Commercialization Networking
3D Computer Vision, 3D Deep Learning, 3D Meta-Learning, and 3D vision-based AI for Robotics
Affective Haptics, haptic modeling and tactile stimulation interfaces, haptic data communication
Scientific computing, applied mathematics, electromagnetics, acoustics, computational biology