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Faculty: Department

Computer Science & Engineering (CSE)

Ahmed Arif

Assistant Professor

asarif@ucmerced.edu

  • Smarter solutions for text entry, error correction, and editing on various devices
  • Mobile interaction, tangible user interfaces, child-computer interaction, usable security, and scientific data visualization.

Stefano Carpin

  • Robotics
  • Motion planning
  • Cooperative multi-robot systems
  • Urban search and rescue & service robotics
  • High fidelity robot simulation
  • Artificial intelligence

Miguel Carreira-Perpinan

Professor Carreira-Perpiñán's basic research interests are in machine learning — the estimation of models and representations from data. Most recently, he has been working on topics in the intersection of optimization and machine learning, in particular in learning algorithms for deep neural nets and for nonlinear embeddings. Other topics of interest are dimensionality reduction/manifold learning, clustering, denoising and other unsupervised learning problems, and mean-shift algorithms. He often gets inspiration from problems in speech processing (e.g. articulatory inversion and model adaptation), computer vision (e.g. segmentation, articulated pose tracking, image registration), sensor networks, robotics (e.g. inverse kinematics) and other application areas. In the past, he has also worked on computational neuroscience, specifically on dimension reduction models of the maps of the visual cortex.

Alberto Cerpa

Associate Professor

acerpa@ucmerced.edu

Lab Site

SE2 221

Professor Cerpa's broad interests lie broadly in the computer networking and distributed systems areas. His recent focus has been systems research in wireless sensor networks, with emphasis in wireless radio channel measurement and modeling, link quality estimation, routing algorithms, topology control, and programming models. Professor Cerpa is also interested in Internet protocols and operating systems issues. In the past, he has been involved in active networking, mobile IP, and protocol design and verification research.

His research group develops and deploys sensor networks that address some of the grand challenges in science and engineering, mostly in the energy, health and instruments for scientific discovery domains. Some of his projects include developing instruments for solar radiation mapping, energy and occupancy monitoring in smart buildings and exercise physiology monitoring and modeling.

Wan Du Portrait

Wan Du

Assistant Professor

wdu3@ucmerced.edu

Lab Site

SE2 208

  • Cyber physical systems
  • The Internet of Things
  • Networked Embedded Systems
  • Wireless and Mobile Networking

Graduate Groups:

Sungjin Im

Assistant Professor

sim3@ucmerced.edu

Lab Site

SE2 214

  • Design and analysis of algorithms and their applications
  • Approximation algorithms
  • Online algorithms
  • Combinatorial optimization
  • Scheduling algorithms
  • Game theory

 

  • Geometric modeling
  • Computer graphics
  • Computer animation
  • Autonomous agents
  • Robotics Artificial intelligence

Dong Li

Dong Li

Assistant Professor

dli35@ucmerced.edu

Lab Site

SE2 211

  • High performance computing
  • Fault tolerance/resilience in large-scale parallel and distributed systems
  • Power-aware computing
  • Performance modeling and optimization

Shawn Newsam

Associate Professor

snewsam@ucmerced.edu

Lab Site

SE2 215

  • Image processing
  • Computer vision
  • Pattern recognition
  • Machine learning
  • Content-based information retrieval
  • Digital libraries, data mining and knowledge discovery in spatio-temporal, multimedia and scientific datasets

Florin Rusu

Associate Professor

frusu@ucmerced.edu

Lab Site

SE2 210

  • Large scale data management
  • Database systems design and implementation
  • Data aggregation methods
  • Approximation and randomized algorithms

Mukesh Singhal

  • Distributed computing
  • Cloud computing
  • Security
  • Networks

Ming-Hsuan Yang

Ming-Hsuan Yang

Associate Professor

mhyang@ucmerced.edu

Lab Site

SE2 216

  • Computer vision
  • Pattern recognition
  • Machine learning