Dr Pranesh Das
Assistant Professor (Grade-I)
| Department of Computing and Data Sciences
National Institute of Technology, Warangal
Expertise:
Computer Science Artificial Intelligence
33
Publications
5
Projects
592
Scopus Citations
451
CrossRef
8 Years Total Experience
Scopus
592
Citations
12
h-index
CrossRef
451
Citations
10
h-index
Google Scholar
Loading Scholar statistics...
Professional Recognition
No Data Found
There is currently nothing to display here.
Community & Membership
No Data Found
There is currently nothing to display here.
No Data Found
There is currently nothing to display here.
Personal Details
Doctor of Philosophy
2019
National Institute of Technology Srinagar
Master of Technology
2013
Rajiv Gandhi University, Itanagar
Bachelor of Technology
2007
PIPMATE
Assistant Professor (Grade-I)
Jun 2026 – Present
National Institute of Technology, Warangal
| Department of Computing and Data Sciences
Assistant Professor (Grade-I)
Feb 2026 – Jun 2026
National Institute of Technology, Calicut
| Department of Computer Science and Engineering
Assistant Professor (Grade-II)
Mar 2020 – Feb 2026
National Institute of Technology, Calicut
| Department of Computer Science and Engineering
Assistant Professor
Sep 2018 – Mar 2020
Gauhati University
| Information Technology
Engineering and Technology
Scholarly Work
An Explainable and Universal Unsupervised Domain Adaptation Framework for Land-Use/Land- Cover Mapping and Border Surveillance Using Multi-Source Remote Sensing: Towards Ur- ban–Rural Policy Assessment and Security Planning in India
OtherAn Intelligent Coconut Harvester: Application to Artificial Intelligence (AI) and Internet of Things (IoT
CompletedA Framework for Patient-in-transit Healthcare Ensuring Seamless Health Data Transmission
CompletedClassification and Identification of Parkinson’s Disease (PD) Patient for Proper Treatment Strategies
CompletedMonitoring Stress in Students using EEG
CompletedUnsupervised domain adaptation methods using clustering-based pseudo-labelling and multi-objective optimization
Anomaly Detection in Surveillance Videos Using Weakly Supervised Deep Learning Techniques
AN AUTONOMOUS DRONE-BASED INTELLIGENT SYSTEM FOR COCONUT HARVESTING AND METHOD THEREOF
1.Dr. Pranesh Das 2.Mrs. Aparna K H 3.Mr. Swamy Raja Hrushikesh 4.Mr. Polineni Ramnivas 5.Mr. Buchupalli Ruthvik Kumar Reddy 6.Mr. Shani Verma 7.Mr. Shiv Om 8.Mr. Deepanshu Kasaudhan
-
Patent No. :
573958
Filed :
08-05-2024
Published :
30-11--0001
Granted
Scholarly Publications
CNNViT: A robust deep neural network for video anomaly detection
FNDSD- A Machine learning based approach for Fake News Detection and Severity Determination
An explainable multi-source unsupervised domain adaptation framework using contrastive learning and adaptive clustering for remote sensing scene classification
Deep Neural Network Modeling for Bidirectionally Excited Tamm Plasmon Polariton
Vegetation Filtering in Photogrammetric 3D Point clouD Data by tree-baseD machine learning moDels: a comParatiVe stuDy
10.4408/IJEGE.2025-02.O-03
Scopus: 1
SCACSBD: a scalable clustering approach for complex-shaped big data
MCANet: Multimodal Caption Aware Training-Free Video Anomaly Detection via Large Language Model
Deep neural network assisted investigation of Tamm plasmon polaritons under simultaneous bidirectional excitation
Showing 1 to 8 of 33 publications