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Computer Science and Engineering

Computer Science and Engineering

Arizona State University

Computer Science and Engineering at Arizona State University has 94 faculty on GradNova.

Faculty

V
<p>natural Language Processing</p><p>machine Learning</p><p>artificial Intelligence</p>
Topic Modeling
Natural Language Processing Techniques
Text and Document Classification Technologies
+2
N
S
<p>data Processing: Data Visualization
Data Analysis.</p><p>expert Systems: Knowledge Representation
Semantic Web Services.</p>
Y
<p>he Is Broadly Interested in Data Mining
Ai4d-Gen
Ai4d-Llm. His Recent Focuses Are Space-Time Intelligence
And Knowledgize Data? Several Contributed Projects Includes Ai4d-RL
+15
X
Algorithms and Data Compression
DNA and Biological Computing
Genome Rearrangement Algorithms
Metaheuristic Optimization Algorithms Research
+1
A
<p>cyber Security
And Pentesting.</p>
Automated Vulnerability Analysis
Binary Analysis
+11
Y
Experimental Learning in Engineering
Information and Cyber Security
Intelligent Tutoring Systems and Adaptive Learning
Online Learning and Analytics
+1
G
<p>quantum Machine Learning
With a Focus on Quantum Generative Models and Quantum Kernels.</p>
Quantum Computing Algorithms and Architecture
Robotics and Automated Systems
+3
J
<p>programmable Matter
Active Matter
Bio-Inspired Algorithms
Distributed Algorithms
+10
D
Y
Customer Service Quality and Loyalty
Education and Learning Interventions
Innovation in Digital Healthcare Systems
Technology Adoption and User Behaviour
+1
Y
<p>computer Science Education
Dependable Computing
Programming Languages
Robotics and Embedded Systems</p>
+1
Z
<p><strong>intelligent Data Infrastructure for Ai</strong>: High-Performance Tokenization for Llms
And Art).</p><p><strong>disaggregated Data Infrastructure</strong>: Disaggregated Storage Systems
And Cxl.</p>
And Indexing)
+31
F
Advanced Multi-Objective Optimization Algorithms
Cavitation Phenomena in Pumps
Hydraulic Flow and Structures
Metaheuristic Optimization Algorithms Research
+1
C
<ul> <li>data Visualization</li> <li>human-Computer Interaction</li> <li>data Storytelling</li> <li>explainable Machine Learning and Artificial Intelligence</li> <li>virtual Reality</li> </ul>
Data Visualization and Analytics
Explainable Artificial Intelligence (xai)
Topic Modeling
+2
H
R
R
<p>distributed Computing
Blockchain
Fault Tolerance
Security</p>
+5
T
Advanced Malware Detection Techniques
Security and Verification in Computing
Software Engineering Research
Software Testing and Debugging Techniques
+1
A
<p>my Research Interest Is Power Management in High Performance Data Centers.</p>
Handwritten Text Recognition Techniques
Image Retrieval and Classification Techniques
Vehicle License Plate Recognition
+2
J
<p>distributed Computing: Distributed Architectures for Cloud and Service Oriented Computing.</p> <p>software Engineering: Teaching Software Engineering Using Service Oriented and Cloud Computing Technologies. Software Testing.</p> <p>&nbsp;</p>
J
&nbsp;vulnerability Analysis</p>
<p>mobile Security
Authentication
Blockchain
+6
R
Big Data and Business Intelligence
Emotion and Mood Recognition
Information Technology Governance and Strategy
Intelligent Tutoring Systems and Adaptive Learning
+1
A
<p>reconfigurable Computing</p><p>fpgas</p><p>hardware Acceleration of Machine Learning (ml) and Artificial Intelligence (ai)</p><p>fpga Applications in Areas Such as Quantum Computing and Medical</p><p>processing-In-Memory</p><p>using Machine Learning (ml) and Artificial Intelligence (ai) for Cad/eda</p>
Parallel Computing and Optimization Techniques
Embedded Systems Design Techniques
VLSI and FPGA Design Techniques
+2
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