Selected Journals and Conferences

2025

• Binu Jose A, Pranesh Das, Ebrahim Ghaderpour and Paolo Mazzanti, " An Explainable Multi-Source Unsupervised Domain Adaptation Framework Using Contrastive Learning and Adaptive Clustering for Remote Sensing Scene Classification", ECAI 2025, Bologna, Italy.
• Binu Jose A, Pranesh Das, "An automated incremental density-based clustering approach using unsupervised deep learning and multi-objective optimization", Computers and Electrical Engineering, Elsevier, 2025.
• Krishnapriya Santhosh, Prabhu Prasad Dev, Binu Jose A, Zorana Lynton, Pranesh Das, Ebrahim Ghaderpour, "A modified Gray Wolf Optimization algorithm for early detection of Parkinson's Disease", Biomedical Signal Processing and Control, Elsevier, 2025.
• Agnijit Basu, Binu Jose A, Raju Hazari and Pranesh Das "SCACSBD: A Scalable Clustering Approach for Complex-shaped Big Data", Journal of Supercomputing, Springer Nature, 2025.

2024

• Prabhu P Dev, R Hazari, Pranesh Das, "ReFLIP-VAD: Towards Weakly Supervised Video Anomaly Detection via Vision-Language Model", IEEE Transactions on Circuits and Systems for Video Technology, 2024.
• Prabhu P Dev, R Hazari, Pranesh Das, "MCANet: Multimodal Caption Aware Training-free Video Anomaly Detection via Large Language Model", 27th ICPR 2024 (Accepted).
• Afeefa P P, R Hazari, Pranesh Das, "Enhancing Automated Short Answer Grading with Prompt-Driven Augmentation and Prompt Adaptive Oversampling", 27th ICPR 2024 (Accepted).
• Suman Das, Pranesh Das, Afeefa PP, Raju Hazari and Aparna KH, "CMDDL: A Novel Coconut Maturity Detection Model Using Deep Learning", ICACIS- 2024, JNU, New Delhi (Presented)

2023

• Edula Sri Ranga Srihith Reddy, SKVS Praveen Kumar, Chinta Srujan, Pranesh Das, "FNDSD-a machine learning based approach for fake news detection and severity determination", ICDSIS 2023, American University in the Emirates, UAE.
• Nikhil Garuda, Gokul Prasad, Prabhu Prasad Dev, Pranesh Das, Ebrahim Ghaderpour, "CNNViT: A robust deep neural network for video anomaly detection", ICDSIS 2023, American University in the Emirates, UAE.
• Pranesh Das, Dushmanta Kumar Das, "A Modified Class Topper Algorithm and its Hybridization for Clustering Agriculture, Health-care and Geology Data", IEEE MoSICom 2023, BITS Pilani Dubai.
• Pritam Kumar, Pranesh Das, "Decomposed and hybridized deep learning models: An application to stock price prediction", IEEE MoSICom 2023, BITS Pilani Dubai.
• Amal F, Arjun BJ, Jaideep Kumar P, Pranesh D, "Statistically Aided Binary Multi-Objective Grey Wolf Optimizer: A New Feature Selection Approach for Classification", Journal of supercomputing, Springer (SCI, IF: 2.5).
• Runad K, P Das, S N. "SCEOMOO: A novel Subspace Clustering approach using Evolutionary algorithm, Off-spring generation and Multi-Objective Optimization", Applied soft computing, Elsevier (SCI, IF:8.2).
• P P Dev, P Das, R Hazari.  "MSDeepNet: A novel multi-stream deep neural network for real-world anomaly detection in surveillance videos", DeLTA2023 (Accepted), Rome, Italy.
• Ghosh R, Phadikar S, Deb N, Sinha N, Das P, Ghaderpour E, "Automatic Eye-blink and Muscular Artifact Detection and Removal from EEG Signals using k-NN Classifier and LSTM Networks", IEEE Sensors Journal (SCI, IF:4.3).

2022

• Shreya, S, Pranesh D, Binu JA, "A new framework for disease prediction: Using dimensionality reduction and feature selection", Soft Computing Theories and Applications.

2021

• Binu Jose, A, P Das.  "A multi-objective approach for inter-cluster and intra-cluster distance analysis for Numeric Data", Soft Computing Theories and Applications.
• Ghosh R, Deb N, Sengupta K, Phukan A, Choudhury N, Kashyap S, Phadikar S, Saha R, Das P, Sinha N, Dutta P,  "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", Data in Brief, Elsevier (SCI).

2020

• Saha, R, Biswas S, Sarmah S, Das P, Karmakar S, "Design and implementation of routing algorithm to enhance network lifetime in wban", Wireless Personal Communications, Springer (SCI, IF: 2.0).
• Saha, R, Biswas S, Sarmah S, Karmakar S, Das P, "A working prototype using DS18B20 temperature sensor and Arduino for health monitoring", SN Computer Science, Springer, Scopus.

2018

• Das P, Das DK, Dey S, "A modified Bee Colony Optimization (MBCO) and its hybridization with k-means for an application to data clustering", Applied Soft Computing. 70:590–603, Elsevier (SCI, IF:8.2).
• Das, P, Das DK, Dey S.  2018.  "A new class topper optimization algorithm with an application to data clustering", IEEE Transactions on Emerging Topics in Computing (SCI, IF:6.5).

2017

• Das P, Das DK, Dey S, "A Multi-objective Modified Particle Swarm Optimization (MMPSO) technique with an application to data clustering",14th IEEE India Council International Conference (INDICON).
• Das P, Das DK, Dey S, "PSO, BCO and K-means Based Hybridized Optimization Algorithms for Data Clustering", IEEE International Conference on Information Technology (ICIT), Bhubaneswar.

2013

• Das P, Khilar PM, VFT: A virtualization and fault tolerance approach for cloud computing, IEEE Conference on Information & Communication Technologies (ICT), Kanyakumari.

• Data Mining

• Computational Intelligence

• Machine Learning

• Computer Vision

Database Management Systems, Data Structures & Algorithms, Data Mining, Data Analytics, Optimization and Machine Learning. 

1. 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: PI, Status: Ongoing-2026 to 2028, Amount:55 Lacks, Funding: ANRF-IRG)

2. DST-FIST Grant 2024, CSED, Level B (Role: Core PI Team, Status: Ongoing, Amount: 95 Lacks, Funding: DST)

3. An Intelligent Coconut Harvester: An Application to Artificial Intelligence (AI) and Internet of Things (IoT) (Role: PI, Status: Completed, Amount:15.93 Lacks, Funding: SERB-SRG, Output: 1 patent granted from this and 1 conference paper)

4. Classification and Identification of Parkinson’s Disease (PD) Patient for Proper Treatment Strategies (Role: PI, Status: Completed, Amount: 5.33 Lacks, Funding: AICTE-NPIU, Output: 1 Q1 journal).

5. Monitoring Stress in Students using EEG (Role: CO-PI, Status: Completed, Amount: 15.43 Lacks, Funding: AICTE-NPIU, Output: 1 Q1 and 1 Q2 journal).

6. A Framework for Patient-in-transit Healthcare Ensuring Seamless Health Data Transmission (Role: CO-PI, Status: Completed, Amount: 14.95 Lacks, Funding: AICTE-NPIU, Output: 2 SCI journals).

Academic Achievements

IEEE, ACM

DBMS CS3002D

Semester: Monsoon

Offered: 2022

DBMS Theory (CS3002D)

Semester: Monsoon

Offered: 2021

Machine Learning

Semester: Monsoon

Offered: 2021

Data Structures Lab(CS2094D)

Semester: Winter

Offered: 2021

Topics in data analytics (CS4061D)

Semester: Winter

Offered: 2021

PhD Scholars supervised

Binu Jose A (completed, March 2026)

Prabhu Prasad Dev (completed 2025)

Google Scholar Link

DBLP  Link