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PhD Computer Science in Johns Hopkins University - Baltimore - United States

Johns Hopkins University - Baltimore - United States

About Johns Hopkins University

   The Johns Hopkins University or JHU is a private research institution in Baltimore, Maryland, established in 1876. Even though Johns Hopkins is the oldest research institution in the United States, it is regarded as the leading university in all US. Universities in annual research consumption across the past three decades.
   Johns Hopkins University is rated at 9th position among the top-class national universities in the world. The Johns Hopkins University encompasses nine academic partitions that provide studies in the arts and sciences, engineering, business, education, medicine, nursing, music, public health, and international studies.
   Johns Hopkins University comprises an affiliated research center that is a home for national security and space-oriented research. Johns Hopkins University imbues more funds into research than any other US educational university and imparts a definitely global and diversified environment.

Address & Website of Johns Hopkins University

Address:  Baltimore, MD 21218, United States

Phone:  +1 410-516-8000

Email:  gotojhu@jhu.edu.

Website:  https://www.jhu.edu/

University Type:  Private university

Computer Science Courses Offered by Johns Hopkins University

  
 •  Computer Science PhD 
 •  Computer Science MS 
 •  Computer Science MA 
 •  Data Science MS 
 •  Machine Learning MS 
 •  Cybersecurity MS 
 •  Data Science Certificate 
 •  Cybersecurity Certificate 
 •  Computer Programming Certificate 
 •  Software Development Certificate 
 •  Information Security Certificate 
 •  Business Intelligence Certificate 
 •  Data Analytics Certificate 
 •  Data Structures and Algorithms Certificate

Computer Science Research Areas - Johns Hopkins University

  

  Computer Science research at Johns Hopkins University is growing computing technology; facilitating novel aspects of thought; and converting society. The advanced; cooperative research organized by Johns Hopkins University focused on resolving huge and complex transdisciplinary complications in robotics; speech and language; medicine; and public health. The following list is the ongoing research areas of computer science at Johns Hopkins University
  •  Theory & Programming Languages
  •  Systems
  •  Computational Biology and Medicine
  •  Information Security
  •  Natural Language Processing
  •  Machine Learning and Data Intensive Computing
  •  Robotics; Vision; and Graphics

Research Topics in Computer Science Research - Johns Hopkins University

  The computer science department is quickly evolving, with major theory and algorithms research areas; security; privacy; and cryptography; computational biology and medicine; and machine learning and data-intensive computing.

Theory & Programming Languages - The theory and Programming Languages group at Johns Hopkins University concentrates on designing, implementing, and using computer programming languages. Our programming languages research contains several areas involving type systems, language design, type inference, efficient implementation of higher-order typed languages, side effects, concurrency, security, and metaprogramming. Other active research areas of theory and programming language are streaming algorithms, pseudo randomness, approximation algorithms, theoretical networking, hardness of approximation, and cryptography.

Systems - John Hopkins University system research engrossed in research projects to implement more robust, reliable, and secure computer systems for real-time applications. Some recent systems research works involve big data, networks and network architectures, mobile security, cloud computing, and data-intensive computing and database

Computational Biology and Medicine - This research area works on a broad range of computational health and biology projects, from using data-driven tools to recognize early signs of sepsis to DNA sequencing technology and evolutionary genomics.

 Information Security – Research area under information security focuses on huge research work on computer security, privacy, and assurance to develop dependent on digital technologies, protecting online information

Natural Language Processing - This research area works on designing innovative new projects to implement technology for machine analysis, translation, and transformation of multilingual speech and text.

Machine Learning and Data Intensive Computing - Research groups work on developing cutting-edge machine learning techniques for predicting stock market changes, detecting cancer, and translating documents. Recent research projects include wearables data for monitoring and preventing health complications, enhancing diagnostics, and turning patient care into accurate medicine. Especially, such researchers rapidly focus on contributing to preventing COVID-19 using prediction models.

Robotics, Vision, and Graphics – The research areas of Johns Hopkins University spread the areas of computer vision, computer graphics, augmented/virtual reality, and human-computer interaction.

Computer Science Research Labs with Specialization - Johns Hopkins University

  Computer science research laboratories and groups are presently active in the below-given areas at John Hopkins University: algorithm design and analysis, human-computer interaction, machine learning, data-intensive computing, health informatics, computational medicine, computer vision, and image processing, computer graphics, geometric modeling, programming languages, artificial intelligence, natural language and speech processing, information retrieval, cryptography and information security, secure and robust systems, storage systems, high-performance and scientific computing, computational genomics, networks and distributed systems, stream processing, robotics, and computer-integrated surgical systems.
  The research center and labs at Johns Hopkins University related to computer science are listed below; Information Security Institute (ISI)

  • Laboratory for Computational Sensing and Robotics (LCSR)
  • Center for Language and Speech Processing (CLSP)
  • Institute for Data Intensive Engineering and Science (IDIES)
  • Mathematical Institute for Data Science (MINDS)
  • Institute for Computational Medicine (ICM),
  • Center for Computational Biology (CCB)
  • Programming Languages Laboratory
  • Theory & Programming Languages
  • Distributed Systems and Networks Lab
  • Center for Computational Genomics
  • Institute for Computational Medicine (ICM)
  • Center for Imaging Science
  • Information Security Institute (ISI)
  • Advanced Research in Cryptography Lab (ARC)
  • Human Language Technology Center of Excellence
  • Linguistics
  • Machine Learning Group
  • Institute for Data Intensive Engineering and Science
  • Laboratory for Computational Sensing and Robotics (LCSR)
  • Computational Interaction and Robotics Lab (CIRL)
  • Computer Graphics Group
  • Intuitive Computing Laboratory
  • Scholarship Programs and Funded Projects for Computer Science - Johns Hopkins University

      Some of the well-known fellowships and scholarships for John Hopkins research students specializing in a broad range of computer science-related fields.
      •  Internal scholarships for PhD computer science students are Computer Science Graduate Achievement Scholarship and Siebel Scholarship
      •  The external scholarship includes Microsoft PhD Fellowship, Link Foundation Fellowship, IBM PhD Fellowship, Google PhD Fellowship, and Ada Lovelace Fellowship
      •  Other fellowship schemes include Targeted Fellowship, Dean-s Scholar Award, GEM Fellowship, Morgan State University Fellowships, Percy Pierre Doctoral Fellowship, William F. Ward Fellowship, and NSF Graduate Research Fellowships Program (GRFP)

    PhD Admission Procedure for Computer Science -Johns Hopkins University

      •  Initially, complete the application form online to appertain PhD computer science course at Johns Hopkins University.
      •  Supporting documents such as application fee, statement purpose, letters of recommendation, transcripts, GRE score, TOEFL or IELTS score, and sample research work of the applicant.
      •  Applicants need to wait for application evaluation and then pursue the course