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Rohit Goswami
PeerJ Author & Reviewer
630 Points

Contributions by role

Reviewer 630

Contributions by subject area

Mathematical Biology
Epidemiology
Infectious Diseases
Public Health
Software Engineering
Spectroscopy
Biophysical Chemistry
Physical Chemistry (other)
Surfaces and Interfaces
Algorithms and Analysis of Algorithms
Artificial Intelligence
Data Mining and Machine Learning
Neural Networks
Bioinformatics
Computational Biology
Computer Vision
Robotics
Data Science
Scientific Computing and Simulation
Psychiatry and Psychology
Statistics
Optimization Theory and Computation
Theoretical and Computational Chemistry
Organic Chemistry (other)
Organic Compounds
Emerging Technologies

Rohit Goswami

PeerJ Author & Reviewer

Summary

Currently working on computational methods and algorithm development. My focus is on molecular simulation analysis, large scale computational photonics, and algorithmic design of efficient HPC software.

Algorithms & Analysis of Algorithms Cluster Chemistry Computational Science Data Mining & Machine Learning Distributed & Parallel Computing Kinetics & Reactions Molecular Biology Photochemistry Scientific Computing & Simulation Spectroscopy Statistics Theoretical & Computational Chemistry Thermodynamics & Statistical Mechanics

Past or current institution affiliations

Indian Institute of Technology, Kanpur
University of Iceland

Work details

Doctoral Researcher

University of Iceland
November 2019
Faculty of Physical Sciences

Project Associate

Indian Institute of Technology, Kanpur
July 2018 - June 2019
Chemical Engineering
I was associated with the Computational Nanoscience group. Over the course of two centrally funded projects, ``Nucleation On Nanostructured Surfaces Computer Simulation Studies (SPO/DST/CHE/2017294)'' and ``Advanced Computation Research and Education (SPO/MHRD/CC/20130176)'': - I worked on the implementation of an enhanced version of the CHILL (CHILL+) algorithm for tracking ice types. - Designed a linear discriminant analysis technique for near-surface ice structure determination which is undergoing rigorous testing - Implemented a graph based network connectivity model for ice structures - Spearheaded the development of High Performance GPU accelerated molecular dynamics simulation analysis tools - Worked on the determination of optimal GPU cluster configurations - Designed and administered academic outreach websites

Senior Project Associate

Indian Institute of Technology, Kanpur
July 2019 - January 2021
Chemistry
I was affiliated to the Femtolab under the project “Femtosecond Laser Approaches to Quantum Information and Quantum Computation (SPO/MEITY/CHM/2018356)” I also worked on computational photonics, as well as ultrafast techniques for chemical process industries.

Identities

@rg0swami

Websites

  • GitHub
  • Grimoire
  • Facebook
  • LinkedIn
  • Google Scholar
  • ResearcherID
  • FemtoLab
  • Personal Page

PeerJ Contributions

  • Reviewed 9

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

August 12, 2024
Enhancing geotechnical damage detection with deep learning: a convolutional neural network approach
Thabatta Moreira Alves de Araujo, Carlos André de Mattos Teixeira, Carlos Renato Lisboa Francês
https://doi.org/10.7717/peerj-cs.2052
July 12, 2024
An optimization algorithm for maximum quasi-clique problem based on information feedback model
Shuhong Liu, Jincheng Zhou, Dan Wang, Zaijun Zhang, Mingjie Lei
https://doi.org/10.7717/peerj-cs.2173
March 29, 2024
A lightweight convolutional neural network (CNN) model for diatom classification: DiatomNet
Huseyin Gunduz, Serkan Gunal
https://doi.org/10.7717/peerj-cs.1970
March 6, 2023
A new deep learning-based technique for rice pest detection using remote sensing
Syeda Iqra Hassan, Muhammad Mansoor Alam, Usman Illahi, Mazliham Mohd Suud
https://doi.org/10.7717/peerj-cs.1167
December 9, 2021
Experimental interpretation of adequate weight-metric combination for dynamic user-based collaborative filtering
Savas Okyay, Sercan Aygun
https://doi.org/10.7717/peerj-cs.784
March 4, 2021
Classifier uncertainty: evidence, potential impact, and probabilistic treatment
Niklas Tötsch, Daniel Hoffmann
https://doi.org/10.7717/peerj-cs.398
May 4, 2020
SANgo: a storage infrastructure simulator with reinforcement learning support
Kenenbek Arzymatov, Andrey Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin, Ivan Tchoub, Artem Ikoev
https://doi.org/10.7717/peerj-cs.271
January 20, 2020
Gini coefficients for measuring the distribution of sexually transmitted infections among individuals with different levels of sexual activity
Sandro Gsteiger, Nicola Low, Pam Sonnenberg, Catherine H. Mercer, Christian L. Althaus
https://doi.org/10.7717/peerj.8434 PubMed 31998566
December 3, 2019
The determinants of chemoreception as evidenced by gradient boosting machines in broad molecular fingerprint spaces
Sammy Sambu
https://doi.org/10.7717/peerj-ochem.2