Vidwan-ID : 109030



  • Prof Sandeep Mane

  • Assistant Professor
  • Rajarambapu Institute of Technology
Publications 2012 - 2020

Publications

  • 12
    Journal Articles
  • 9
    Conference
    Proceedings
  • 1
  • 6

Citations / H-Index

19 Citations
3 h-index
13 Citations

Google Scholar

Co-author Network


Expertise

Computer Science Artificial Intelligence

• Multi-objective optimization problems • Evolutionary Optimization Algorithms • High Performance Computing, GPU Computing

Personal Information

Prof Sandeep Mane

Male
Dept. of Computer Science and Engineering Rajarambapu Institute of Technology, Rajaramnagar (An Autonomous Institute affiliated to Shivaji University, Kolhapur)
Sangli, Maharashtra, India - 415414


Experience

  • Assistant Professor

    Department of Computer Science and Engineering

    Rajarambapu Institute of Technology

  • Assistant Professor

    Dept. of IT, GIT, Lavel- Ratnagiri

    University of Mumbai

  • Lecturer

    Dept. of Information Technology

    Dr. Babasaheb Ambedkar Technological University, Lonere Raigad Maharashtra


Qualification

  • M. Tech (Computer Engineering)

    Dr. BATU Lonere (Raigad) Maharashtra


Honours and Awards

2017

Outstanding Reviewer

Elsevier Publications

2014

PI - GPU Education Center

NVIDIA Corporations Ltd

2017

Outstanding Reviewer

Elsevier Publications

2014

PI - GPU Education Center

NVIDIA Corporations Ltd

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Membership In Professional Bodies

2015

ISTE

Life Member

2015

ISTE

Life Member

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Membership In Committees

2018

Internal Quality Assurance Cell (IQAC)

Member

2018

Internal Quality Assurance Cell (IQAC)

Member

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Research Projects

Solving computationally expensive problems using GPGPU based optimization Techniques

Funding Agency : Institute Seed Fund and Award from Nvidia Corp.

Design and implementation of Parallel evolutionary algorithms to solve employee scheduling problems.

Funding Agency : Institute Seed Fund

Solving computationally expensive problems using GPGPU based optimization Techniques

Funding Agency : Institute Seed Fund and Award from Nvidia Corp.

Design and implementation of Parallel evolutionary algorithms to solve employee scheduling problems.

Funding Agency : Institute Seed Fund

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