Selected Journals and Conferences

2025

• 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.

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.
• Das, P, Virtualization and fault tolerance in cloud computing.

• Data Mining

• Computational Intelligence

• Machine Learning

• Computer Vision

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

1. DST-FIST Grant 2024, CSED, Role: PI, Status: Ongoing

2. 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)

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

4. Monitoring Stress in Students using EEG (Role: CO-PI, Status: Completed, Amount: 15.43 Lacks, Funding: AICTE-NPIU).

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

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

Binu Jose A

Prabhu Prasad Dev

Jasheer Sihahab. T. V

Afeefa P. P

Ramya Rajsekharan

Udaya K. Unnikrishnan

Google Scholar Link

DBLP  Link