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Dr. R. Satya Rajendra Singh

Assistant Professor (Sl. Gd.), School of Computing, Amaravati

Qualification: Ph. D.
r_satyarajendrasingh@av.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Deep Learning, Transformer models, Image Classification

Bio

Currently working as an Assistant Professor (Sl. Gd.) in Amrita Vishwa Vidyapeetham from June 2024 to tilldate. Worked as an Associate Professor in Gates Institute of Technology, GOOTY from June 2018 to June 2019. Worked as an Associate Professor in Sree Venkateswara College Of Engineering, Nellore from January 2014 to March 2018.  Worked as an Assistant Professor in NARAYANA Engineering College, Nellore from June 2005 to January 2014.

Publications

Journal Article

Year : 2024

Frequency disentangled residual network

Cite this Research Publication : Satya Rajendra Singh, Roshan Reddy Yedla, Shiv Ram Dubey, Rakesh Kumar Sanodiya, Wei-Ta Chu, Frequency disentangled residual network, Multimedia Systems, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s00530-023-01232-5 (Q1, Impact Factor: 2.60)

Publisher : Springer Science and Business Media LLC

Year : 2023

Zero-Shot Transfer Learning Framework for Plant Leaf Disease Classification

Cite this Research Publication : R. Satya Rajendra Singh, Rakesh Kumar Sanodiya, Zero-Shot Transfer Learning Framework for Plant Leaf Disease Classification, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2023, https://doi.org/10.1109/access.2023.3343759

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2023

Joint Triplet Autoencoder for histopathological colon cancer nuclei retrieval

Cite this Research Publication : Satya Rajendra Singh, Shiv Ram Dubey, Shruthi MS, Sairathan Ventrapragada, Saivamshi Salla Dasharatha, Joint Triplet Autoencoder for histopathological colon cancer nuclei retrieval, Multimedia Tools and Applications, Springer Science and Business Media LLC, 2023, 1-20. https://doi.org/10.1007/s11042-023-15400-2

Publisher : Springer Science and Business Media LLC

Year : 2022

Manifold embedded joint geometrical and statistical alignment for visual domain adaptation

Cite this Research Publication : Rakesh Kumar Sanodiya, Shreyash Mishra, Satya Rajendra Singh R., Arun P.V., Manifold embedded joint geometrical and statistical alignment for visual domain adaptation, Knowledge-Based Systems, Elsevier BV, Volume 257, 5 December 2022, 109886, https://doi.org/10.1016/j.knosys.2022.109886

Publisher : Elsevier BV

Research Grants
  • Worked in research project entitled “Development of Image Retrieval methods for biomedical and health informatics” against project sanctioned by SERB/DST/ECR. Under the guidance of Dr. Shiv Ram Dubey, by implementing the concepts of Deep Learning using PyTorch.
  • Worked in research project entitled “Development of Deep Learning techniques for image retrieval” against India-Taiwan joint project sanctioned by GITA/DST, Under the guidance of Dr. Shiv Ram Dubey, by implementing the concepts of Deep Learning using PyTorch.
FDP / Workshops/ Conferences
  • Faculty Development Programs attended –SAP-UA in Singapore, SAP-UA in Hong Kong, IoT- IIT Roorkee, WSN-IIT (ISM), NIT-Warangal, Microsoft-SQL Server 2008, WIPRO-Mission10X.
  • Taken FDP on SAP-SD on behalf of SAP-UA group arranged by IEG.
  • Workshops attended– SAP-ABAP, TECHED, IBM-DB2, IBM-WEB SPHERE, UML, CCNA.
  • 14 National & International Conferences
Talks Delivered

Research Talks Delivered

  • Presented AP Police Summit 2020 and appreciation received from DGP of AP.

Invited Talks

  • Trained Faculty members and students on SAP-LUMIRA, ABAP.
  • Taken Orientation classes for A.P Police & U.G (M.B.B.S & B.D.S) & P.G (M.S & M.D.S) students of Narayana Medical College.
  • Special classes have been taken to JKC students for campus placements.
Membership
  • SIEEE
  • ACM
  • LSISTM
Awards
  • Received Interdisciplinary Research Achievement Award in 2024.
  • Board Member of AIMERS (Artificial Intelligence Medical and Engineering Researchers Society).
  • Received Best Teacher award in 2019 from Telangana IT associations, AP IT companies.
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