NIT Warangal

Information

Room No: +91-870-246 pranesh@nitw..ac.in https://erp.nitw.ac.in/ext/profile/cd-pranesh Bio Sketch

Key Notes

Journal(s): 14
Conference(s): 13

27

PUBLICATIONS

5

PROJECTS

1

PATENT

Research Areas

Computational intelligence

Computer vision

Continual learning

Data Mining

Domain adaptation

Domain generalization

Geospatial analytics

Machine Learning

EDUCATION QUALIFICATION

Degree	Institute	Year
Doctor of Philosophy	National Institute of Technology Nagaland	2019
Master of Technology	National Institute of Technology Rourkela	2013
Bachelor of Technology	West Bengal University of Technology	2007

COURSES HANDLED

Course	L-T-P	Credit	Degree Level
Advanced Data Structures(CD1M03)	3-0-0	3	UG
Big Data Analytics(CS433)	3-0-0	3	UG

RESEARCH IDs

PUBLICATIONS

Journal(s)

Cross-modal uncertainty modeling framework for unseen video anomaly detection, By Prabhu Prasad Dev, Pranesh Das, Raju Hazari, Elsevier, Neurocomputing, vol., pp., 2026

An unsupervised domain adaptation approach for remote sensing scene classification using adaptive incremental density-based clustering and multi-objective optimization, By A Binu Jose, Ghaderpour Pranesh, Das, Ebrahim, Mazzanti Paolo, Elsevier, Computers and Electrical Engineering, vol., pp., 2026

A modified Gray Wolf Optimization algorithm for early detection of Parkinson's Disease, By Krishnapriya Santhosh, Prabhu Prasad Dev, Binu Jose A, Zorana Lynton, Pranesh Das, Ebrahim Ghaderpour, Elsevier, Biomedical Signal Processing and Control, Elsevier, vol., pp., 2025

Vegetation Filtering in Photogrammetric 3D Point Cloud Data by Tree-Based Machine Learning Models: A Comparative Study, By Himanshu Dewangan, Pranesh Das, Jagadish Kundu, Paolo Mazzanti, Ebrahim Ghaderpour, Sapienza University of Rome, Italy, Italian Journal of Engineering Geology and Environment, vol., pp., 2025

SCACSBD: a scalable clustering approach for complex-shaped big data, By Agnijit Basu, Binu Jose Ambrose, Raju Hazari, Pranesh Das, Springer, The Journal of Supercomputing, vol., pp., 2025

An automated incremental density-based clustering approach using unsupervised deep learning and multi-objective optimization, By Binu Jose A, Pranesh Das, Elsevier, Computers and Electrical Engineering, vol., pp., 2025

ReFLIP-VAD: Towards Weakly Supervised Video Anomaly Detection via Vision-Language Model, By Prabhu Prasad Dev, Raju Hazari, Pranesh Das, IEEE, IEEE Transactions on Circuits and Systems for Video Technology, vol., pp., 2024

Statistically aided Binary Multi-Objective Grey Wolf Optimizer: a new feature selection approach for classification, By Amal Francis V Ukken, Arjun Bindu Jayachandran, Jaideep Kumar Punnath Malayathodi, Pranesh Das, Springer US, The Journal of Supercomputing, vol., pp., 2023

Automatic Eye-blink and Muscular Artifact Detection and Removal from EEG Signals using k-Nearest Neighbour Classifier and Long Short-Term Memory Networks, By Ghosh Rajdeep, Phadikar Souvik, Deb Nabamita, Sinha Nidul, Das Pranesh, Ghaderpour Ebrahim, IEEE, IEEE SENSORS JOURNAL, vol., pp., 2023

SCEOMOO: A novel Subspace Clustering approach using Evolutionary algorithm, Off-spring generation and Multi-Objective Optimization, By Runad Khamkar, Pranesh Das, S Namasudra, Elsevier, Applied Soft Computing, vol., pp., 2023

SAM 40: Dataset of 40 subject EEG recordings to monitor the induced-stress while performing Stroop color-word test, arithmetic task, and mirror image recognition task, By Ghosh Rajdeep, Deb Nabamita, Sengupta Kaushik, Phukan Anurag, Choudhury Nitin, Kashyap Sreshtha, Phadikar Souvik, Saha Ramesh, Das Pranesh, Sinha Nidul, Dutta Priyanka, Elsevier, Data in Brief, Elsevier, vol., pp., 2022

Design and implementation of routing algorithm to enhance network lifetime in wban, By R Saha, S Biswas, S Sarmah, Pranesh Das, S Karmakar, Springer, Wireless Personal Communications, vol., pp., 2020

A modified Bee Colony Optimization (MBCO) and its hybridization with k-means for an application to data clustering, By Pranesh Das, Dushmanta Kumar Das, Shouvik Dey, Elsevier, Applied Soft Computing, vol., pp., 2018

A new class topper optimization algorithm with an application to data clustering, By Pranesh Das, Dushmanta Kumar Das, Shouvik Dey, IEEE, IEEE transactions on emerging topics in computing, vol., pp., 2018

Conference(s)

An Explainable Multi-Source Unsupervised Domain Adaptation Framework Using Contrastive Learning and Adaptive Clustering for Remote Sensing Scene Classification By Binu Jose A, Pranesh Das, Ebrahim Ghaderpour and Paolo Mazzanti, European Conference on Artificial Intelligence (ECAI) 2025, Bologna, Italy, 2025

Enhancing Automated Short Answer Grading with Prompt-Driven Augmentation and Prompt Adaptive Oversampling By Afeefa P P, R Hazari, Pranesh Das, 27th International conference on pattern recognition (ICPR), 2024, Kolkata, India, 2024

MCANet: Multimodal Caption Aware Training-free Video Anomaly Detection via Large Language Model By Prabhu P Dev, R Hazari, Pranesh Das, 27th International conference on pattern recognition (ICPR), 2024, Kolkata, India, 2024

A Modified Class Topper Algorithm and its Hybridization for Clustering Agriculture, Health-care and Geology Data By Pranesh Das, Dushmanta Kumar Das, IEEE MoSICom 2023, BITS Pilani Dubai, 2023

Decomposed and hybridized deep learning models: An application to stock price prediction By Pritam Kumar, Pranesh Das, Ebrahim Ghaderpour, IEEE MoSICom 2023, BITS Pilani Dubai, 2023

FNDSD-a machine learning based approach for fake news detection and severity determination By Edula Sri Ranga Srihith Reddy, SKVS Praveen Kumar, Chinta Srujan, Pranesh Das, ICDSIS 2023, American University in the Emirates, UAE., 2023

CNNViT: A robust deep neural network for video anomaly detection By Nikhil Garuda, Gokul Prasad, Prabhu Prasad Dev, Pranesh Das, Ebrahim Ghaderpour, ICDSIS 2023, American University in the Emirates, UAE., 2023

A New Framework for Disease Prediction: Using Dimensionality Reduction and Feature Selection By Shreya Sahu, Pranesh Das, A Binu Jose, Soft Computing: Theories and Applications, 2023

Disaster Tweets Classification for Multilingual Tweets Using Machine Learning Techniques By Tanya Koranga, Raju Hazari, Pranesh Das, International Conference on Computation Intelligence and Network Systems, 2023

A multi-objective approach for inter-cluster and intra-cluster distance analysis for Numeric Data By Binu Jose A, Pranesh Das, Soft Computing Theories and Applications, 2022

PSO, BCO and K-means based hybridized optimization algorithms for data clustering By Pranesh Das, Dushmanta Kumar Das, Shouvik Dey, International Conference on Information Technology (ICIT), 2018

A multi-objective modified particle swarm optimization (MMPSO) technique with an application to data clustering By Pranesh Das, Dushmanta Kumar Das, Shouvik Dey, 14th IEEE India Council International Conference (INDICON), 2017

VFT: A virtualization and fault tolerance approach for cloud computing By Pranesh Das, Pabitra Mohan Khilar, 2013 IEEE Conference on Information & Communication Technologies, 2013

Patent(s)

An autonomous drone-based intelligent system for coconut harvesting and method thereof (573958)

PROJECT / CONSULTANCY

An Explainable and Universal Unsupervised Domain Adaptation Framework for Land-Use/Land-Cover Mapping and Border Surveillance Using Multi-Source Remote Sensing: Towards Urban–Rural Policy Assessment and Security Planning in India

Role: Principal Investigator
Type: Research
Sponsor: ANRF
Project Cost (INR): 6000000
Date of Commencement: 01-07-2026
Duration: 33 Months
Status: Ongoing

An Intelligent Coconut Harvester: An Application to Artificial Intelligence (AI) and Internet of Things (IoT)

Role: Principal Investigator
Type: Research
Sponsor: SERB
Project Cost (INR): 1593000
Date of Commencement: 01-12-2021 Date of Completion: 31-03-2024
Duration: 28 Months
Status: Completed

A Framework for Patient-in-transit Healthcare Ensuring Seamless Health Data Transmission

Role: Co-Principal Investigator
Type: Research
Sponsor: AICTE-NPIU-TEQIP III
Project Cost (INR): 1495000
Date of Commencement: 20-06-2019 Date of Completion: 20-06-2022
Duration: 37 Months
Status: Completed

Classification and Identification of Parkinson’s Disease (PD) Patient for Proper Treatment Strategies

Role: Principal Investigator
Type: Research
Sponsor: AICTE-NPIU-TEQIP III
Project Cost (INR): 533000
Date of Commencement: 20-06-2019 Date of Completion: 20-06-2022
Duration: 37 Months
Status: Completed

Monitoring Stress in Students using EEG

Role: Co-Principal Investigator
Type: Research
Sponsor: AICTE-NPIU-TEQIP III
Project Cost (INR): 1543000
Date of Commencement: 20-06-2019 Date of Completion: 20-06-2022
Duration: 37 Months
Status: Completed

RESEARCH FELLOWS / PhD STUDENTS

CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME / GIAN

ADDITIONAL RESPONSIBILITIES

Last updated on September 7, 2026

Prof. Pranesh Das

Assistant Professor Gr-I

Department of Computational and Data Science

Information

Key Notes

27

5

1

Research Areas