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Pattern Recognition, Medical Imaging, Machine Intelligence, Computer Vision Hamid R. Tizhoosh
Faculty of Engineering
University of Waterloo


Pattern Recognition, Computer Vision,
Medical Imaging, Machine Intelligence
Hamid R. Tizhoosh
Teaching
Computer Vision
Machine Intelligence
Data Structures
Research
Pattern Recoginition
Computer Vision
Machine Intelligence
Terahertz Imaging
Health Engineering
Opposition-Based Learning
Students
Current Students
Former Students
Projects
Prostate Cancer
Breast Cancer
Radiation Therapy
Other Projects
Publications
Books & Chapters
Journals
Conferences
Reports etc.
University of Waterloo :: Faculty of Engineering :: Systems Design

Affiliations …

Dr. Tizhoosh is a member of

  • Department of Systems Design Engineering

    The Department of Systems Design Engineering has evolved over the years into a unique interdisciplinary department in Engineering. Its undergraduate curriculum represents a rational response to increasingly complex situations in modern technological society...

  • OBL (Opposition-Based Learning Group)

    The OBL Group works on different aspects of opposition-based learning. Among others opposite weights for neural nets, opposite actions for reinforcement agents, and anti-chromosomes for evolutionary algorithms are being investigated...

  • PAMI (Pattern Analysis and Machine Intelligence Group)

    PAMI research group was established in 1980. The research objectives of the PAMI group are: advance the state-of-the-art in machine intelligence, computer vision, and robotics, develop human resources for high-tech research and development, and promote technology transfer between the university and industry...

 

 

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Health Engineering

With the ongoing rapid advances in biotechnology, it is imperative that health engineering studies, in addition to the more traditional medical ones, be implemented to maximize the benefits of related public and private funding at universities. At Waterloo, engineering considerations are being pursued that have a significant impact in the following two areas: personal health (embryo development, prosthetic implants, automobile design, building design, food processing, pharmaceutical production, diagnostic devices, work-flow) and public health (drinking water safety; remediation of contaminated air, water and soil; pollution control of industrial, agricultural and municipal wastes; risk assessment and management). The engineering approaches being used and developed for these areas include: imaging, sensors, stem cells, biochips, recombinant cells, bioreactors, bioseparators, biomechanics, nanotechnology, control systems, machine intelligence, mathematical algorithms, computer-aided simulations and optimizations. A seminar series augments the communication network at BHEC.

From: HealthEngineering.ca