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Sachin Patil
PeerJ Reviewer
1,470 Points

Contributions by role

Reviewer 1,470

Contributions by subject area

Artificial Intelligence
Data Mining and Machine Learning
Data Science
Natural Language and Speech
Text Mining
Computer Education
Visual Analytics
Algorithms and Analysis of Algorithms
Computer Vision
Neural Networks
Security and Privacy
Computer Networks and Communications
Optimization Theory and Computation
Internet of Things
Bioinformatics
Agricultural Science
Natural Resource Management
Forestry
Human-Computer Interaction
Sentiment Analysis
Mobile and Ubiquitous Computing
Agents and Multi-Agent Systems
Autonomous Systems
Robotics
Neurology
Radiology and Medical Imaging
Multimedia
Computational Linguistics
Social Computing
Computational Biology
Oncology
Computational Science
Cryptography
Software Engineering

Sachin Patil

PeerJ Reviewer

Summary

Hello,
I am Sachin, a Machine Learning Engineer based in the United States with over a decade of industry experience. I hold an MS and an MBA from accredited institutions in the U.S. and have contributed to hydraulics research during my tenure at Argonne National Laboratory, with a focus on computational numerical simulation.

My professional journey has spanned a variety of sectors, including healthcare, medical devices, telecommunications, and video streaming. I have authored 16 ML research articles in IEEE conferences - 12 are published, 4 are accepted by conferences waiting to be published. Please refer to the list of my publications below (https://ieeexplore.ieee.org/author/968465901406895) . I have 8 approved patent in ML AI and 8 copyrights for different ML AI programs.

In addition to my industrial experience, I serve as a reviewer for multiple scholarly journals. Although not all of my reviews are cataloged in my ORCID profile, I have successfully peer-reviewed research articles in the domains of Machine Learning and Deep Learning for 10 ML AI journals - ex. JMLR, Elsevier, IEEE transactions of soft computing, TNNLS etc.

I am particularly interested in volunteering as a peer reviewer for research articles in the Machine Learning, Artificial Intelligence, Data Science, and Neural Networks areas. My blend of hands-on industry experience and research background equips me to provide insightful, high-quality feedback for your scholarly articles.

I look forward to the possibility of contributing to your articles.

Best regards,
Sachin

PeerJ Contributions

  • Reviewed 15

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.

September 24, 2025
Tab transformer with meta-ensemble learning approaches for enhanced diabetes prediction
Sidra Khalid, Shabana Ramzan, Muhammad Munwar Iqbal, Ali Raza, Aseel Smerat, Mehdi Hosseinzadeh, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani
https://doi.org/10.7717/peerj-cs.3206
September 10, 2025
Unveiling the capabilities of vision transformers in sperm morphology analysis: a comparative evaluation
Abdulsamet Aktas, Gorkem Serbes, Hamza Osman Ilhan
https://doi.org/10.7717/peerj-cs.3173
August 28, 2025
Mam-Incept-Net: a novel inception model for precise interpretation of mammography images
Amira Tandirovic Gursel, Yasin Kaya
https://doi.org/10.7717/peerj-cs.3149
August 22, 2025
Analysis of novel therapeutic targets and construction of a prognostic model for hepatocellular carcinoma
Pengyuan Lei, Wenfeng Li, Dafei Xie, Hua Guan, Xin Huang, Bo Huang
https://doi.org/10.7717/peerj.19899 PubMed 40860678
August 11, 2025
A novel deep learning approach for predicting stone-free rates post-ESWL on uncontrasted CT
Ozgur Efiloglu, Muhammed Yildirim, Kadir Yildirim, Harun Bingol, Mustafa Kaan Akalin, Meftun Culpan, Bilal Alatas, Asif Yildirim
https://doi.org/10.7717/peerj-cs.3111
August 11, 2025
Morphological and structural complexity analysis of low-resource English-Turkish language pair using neural machine translation models
Mehmet Acı, Nisa Vuran Sarı, Çiğdem İnan Acı
https://doi.org/10.7717/peerj-cs.3072
August 7, 2025
MDMU-Net: 3D multi-dimensional decoupled multi-scale U-Net for pancreatic cancer segmentation
Lian Lu, Miao Wu, Gan Sen, Fei Ren, Tao Hu
https://doi.org/10.7717/peerj-cs.3059
June 30, 2025
Anomaly detection method for power system information based on multimodal data
Liyue Chen, XuXiang Zhou, Peng Zhou, Xin Sun, SenSen Zheng
https://doi.org/10.7717/peerj-cs.2976
June 6, 2025
Radiomics machine learning based on asymmetrically prominent cortical and deep medullary veins combined with clinical features to predict prognosis in acute ischemic stroke: a retrospective study
Hongyi Li, Cancan Chang, Bo Zhou, Yu Lan, Peizhuo Zang, Shannan Chen, Shouliang Qi, Ronghui Ju, Yang Duan
https://doi.org/10.7717/peerj.19469 PubMed 40492205
May 8, 2025
Research on channel estimation based on joint perception and deep enhancement learning in complex communication scenarios
Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim
https://doi.org/10.7717/peerj-cs.2852
April 29, 2025
Human pose estimation in physiotherapy fitness exercise correction using novel transfer learning approach
Aisha Naseer, Ali Raza, Hadeeqa Afzal, Aseel Smerat, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin
https://doi.org/10.7717/peerj-cs.2854
September 25, 2024
Multiple imputation methods: a case study of daily gold price
Ala Alrawajfi, Mohd Tahir Ismail, Sadam Al Wadi, Saleh Atiewi, Ahmad Awajan
https://doi.org/10.7717/peerj-cs.2337
August 23, 2024
Predicting student success in MOOCs: a comprehensive analysis using machine learning models
Hosam A. Althibyani
https://doi.org/10.7717/peerj-cs.2221
March 22, 2024
A novel approach to texture recognition combining deep learning orthogonal convolution with regional input features
Kar-Seng Loke
https://doi.org/10.7717/peerj-cs.1927
February 28, 2024
Wood identification based on macroscopic images using deep and transfer learning approaches
Halime Ergun
https://doi.org/10.7717/peerj.17021 PubMed 38436000