Ramprasad Joshi

About

Ramprasad Joshi is a practical computer engineer turned theoretician and algorithmician. After intensive research and development experience in computer-based industrial automation, Ramprasad came back to academics, first teaching computer engineering; and then, since 2006, computer science. Ramprasad is active with the industry, as a consultant on automation and optimization. His main research interests are theory of computation, especially real-number computation, optimization heuristics, complexity theory, computational linguistics and compilers, robotics, artificial intelligence.

Employment

• Birla Institute of Technology and Science Assistant Professor
  2016 - Present

Education

• Birla Institute of Technology and Science PhD Thesis Aproved, Assistant Professor
  2009 - 2015
• University of Mumbai ME Computer Engineering
  1990 - 1993
• Shivaji University BE Computer Engg
  1986 - 1990

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• A survey of Konkani NLP resources
  Computer Science Review 2020 8 citations DOI: 10.1016/j.cosrev.2020.100299
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• Dark Data: People to People Recovery
  Lecture Notes in Networks and Systems 2020 0 citations DOI: 10.1007/978-981-15-0630-7_24
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• Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019 12 citations DOI: 10.1007/978-3-030-30484-3_3
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• Is the cost of proof-of-work consensus quasilinear?
  ACM International Conference Proceeding Series 2018 5 citations DOI: 10.1145/3152494.3167978
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• Optimal Route Searching in Networks with Dynamic Weights Using Flow Algorithms
  Proceedings - 2015 International Conference on Computational Intelligence and Communication Networks, CICN 2015 2016 2 citations DOI: 10.1109/CICN.2015.37
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• Empirical and analytical study of many-objective optimization problems: Analysing distribution of nondominated solutions and population size for scalability of randomized heuristics
  Memetic Computing 2014 11 citations DOI: 10.1007/s12293-014-0133-y
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• Objective dimension and problem structure in multiobjective optimization problems
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014 0 citations DOI: 10.1007/978-3-662-45523-4_52
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• Scalability of population-based search heuristics for many-objective optimization
  2013 DOI: 10.1007/978-3-642-37192-9-48
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• Evolving universal hash functions using genetic algorithms
  2009 6 citations DOI: 10.1109/ICFCC.2009.66
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• Web search personalization by user profiling
  2008 7 citations DOI: 10.1109/ICETET.2008.70
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