Year 2025

   Conferences

• MARVEL‑40M+: Multi‑Level Visual Elaboration for High‑Fidelity Text‑to‑3D Content Creation, Prof. Sk Aziz Ali and co‑authors in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025
• Next Generation XR Systems-Large Language Models Meet Augmented and Virtual Reality, Prof. Sk Aziz Ali and co‑authors in IEEE Computer Graphics and Applications (CGA) 2025
• ViM‑Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation, Prof. Abhijit Das, Prof. Aritra Mukherjee, and co-authors in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025
• KDC‑MAE: Knowledge Distilled Contrastive Mask Auto‑Encoder, Prof. Abhijit Das, Prof. Aritra Mukherjee, and co-authors in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025
• Accelerating Medical Image Analysis on Edge Devices: A Study with MobileOne Architecture, Prof. Manik Gupta and co‑authors in International Conference on Pervasive Computing and Communications (PerCom) 2025
• Identifying CIP‑centric Attacks in CPS, Prof. Rajib Maiti and co‑authors in the 17th International Conference on Communication Systems and Networks (COMSNETS) 2025
• TinyDevID: TinyML‑Driven IoT Devices IDentification Using Network Flow Data, Prof. Rajib Maiti and co‑authors in COMSNETS 2025
• TinyAP: A Smart Access Point to detect KRACK on WPA2 Handshake in Wi‑Fi using TinyML, Prof. Rajib Maiti and co‑authors in COMSNETS 2025
• Anomaly Detection in WBANs using GANs and ConvLSTM, Prof. Chittaranjan Hota and co-authors in IEEE International Conference on Prognostics and Health Management (ICPHM) 2025
• K-Means and Dynamic Thresholding for Countering Ballot Stuffing Attacks in Fog Computing, Prof. G. Geethakumari and co-authors in Lecture Notes on Data Engineering and Communications Technologies 2025
• Game-On: Game Theory Strategies to Mitigate On-Off Attacks in Fog Computing, Prof. G. Geethakumari and co-authors in International Conference on Information Networking (ICOIN) 2025
• Accelerating Polynomial Multiplication Using a Three-Stage NTT with Radix-2 Butterfly Unit, Prof. G. Geethakumari and co-authors in International VLSI Symposium on Technology, Systems and Applications 2025
• BallTraj: Fast-Moving Ball Trajectory Tracking Using an Encoder–Decoder Network, Prof. Aruna Malapati and co-authors in Lecture Notes in Mechanical Engineering 2025
• "An empirical evaluation of the effectiveness of various ML, DL, and CodeBERT models to enhance the quality of software with the application of AST and Embedding techniques", Prof. Lalita Bhanu Murthy Neti and co-authors in Innovations in Software Engineering Conference 2025
• "Enhancing Access Control in Distributed Systems Through Intelligent ABAC Policy Mining", Prof. Barsha Mitra and co-authors in Proceedings of the 22nd International Conference on Security and Cryptography 2025
• "Securing Multi-Domain Systems: Intelligent ABAC Policy Learning for Cross-Domain Access Control", Prof. Barsha Mitra and co-authors in 22nd Annual International Conference on Privacy, Security, and Trust (PST), 2025
• "BL-MVC: Blockchain Enabled Majority Voting Classifier for Predicting Heart Diseases", Prof. Subhrakanta Panda and co-authors in Proceedings of the 17th International Conference on Agents and Artificial Intelligence 2025
• "Transformer-based GAN-augmented Defender for Adversarial USB Keystroke Injection Attacks", Prof. Paresh Saxena, Prof. Rajib Ranjan Maiti, and co-authors in Proceedings of the 26th International Conference on Distributed Computing and Networking 2025
• "Multi-critic Deep Reinforcement Learning for Enhanced Alert Prioritization in Intrusion Detection Systems", Prof. Paresh Saxena and co-authors in Lecture Notes on Data Engineering and Communications Technologies 2025
• "Prabodhini: Making Large Language Models Inclusive for Low-Text Literate Users", Prof. Dipanjan Chakraborty, Prof. Prajna Devi Upadhyay, and co-authors in Lecture Notes in Computer Science 2025
• "Brief Announcement: Distributed Butterfly Analysis using Mobile Agents", Prof. Apurba Das and co-authors in Proceedings of the 37th ACM Symposium on Parallelism in Algorithms and Architectures 2025
• "Faster Convergence of Adaptive Data Rate in Dynamic LoRa-based IoT Network Applications", Prof. Nikumani Choudhury and co-authors in Proceedings of the 26th International Conference on Distributed Computing and Networking 2025
• "DyHSARW: A Dynamic GTS Scheduling Mechanism for Large IEEE 802.15.4 DSME-Based IoT Networks", Prof. Nikumani Choudhury and co-authors in IEEE Wireless Communications and Networking Conference (WCNC) 2025
• "Minimum-Membership Geometric Dominating Set: Complexity and Algorithms", Prof. Raghunath Reddy and co-authors in Lecture notes in computer science 2025
• "Question-Answering System in Computer Science", Prof. Prajna Devi Upadhyay and co-authors in Proceedings of the 4th International Conference on AI-ML Systems 2025

  
  Journals

• "Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain", Prof. Aneesh Srivallabh Chivukula and co-authors in the Nature Scientific Reports 2025
• "Patterns of Leaf, Flower, and Fruit Phenology and Environmental Relationships in a Seasonal Tropical Forest in the Indian Eastern Himalaya", Prof. Akanksha Rathore and co-authors, In Biotropica 2025. 
• "Secure and efficient ownership verification for deduplicated cloud computing systems," Prof. Subhrakanta Panda, Prof. Jay Dev, and co-authors in Journal of Cloud Computing 2025
• "Mapping dihydropteroate synthase evolvability through identification of a novel evolutionarily critical substructure", Prof. Aneesh Srivallabh Chivukula and co-authors in the International Journal of Biological Macromolecules 2025
• "On the geometric red-blue set cover problem," Prof. Ragunath Reddy and co-authors in Theoretical Computer Science 2025
• "Real-time Detection of Cyber-physical Attacks on Smart-IP-Camera using Network & Telemetry Data", Prof. Nikumani Choudhury and co-authors in IEEE Transactions on Industrial Cyber-Physical Systems 2025
• "Camera planning for physical safety of outdoor electronic devices: Perspective and analysis,"  Prof. Nikumani Choudhury and co-authors in IEEE Journal of Automatica Sinica 2025
• "Flotilla: A Scalable, Modular and Resilient Federated Learning Framework for Heterogeneous Resources", Prof. Manik Gupta and co-authors in International Journal of Parallel and Distributed Computing 2025
• "Discovering Attack Signature and Its Travel Path using Graphical Model in CPS: A Case Study",  Prof. Rajib Ranjan Maiti, Prof. Paresh Saxena, and co-authors in ACM Transactions on Cyber-Physical Systems 2025
• "TinyAP: An Intelligent Access Point to Combat Wi-Fi Attacks Using TinyML", Prof. Rajib Ranjan Maiti and co-authors in IEEE Internet of Things Journal 2025
• "USB-GATE: USB-based GAN-augmented transformer reinforced defense framework for adversarial keystroke injection attacks", Prof. Paresh Saxena, and co-authors in International Journal of Information Security 2025
• "Predicting breast cancer recurrence using deep learning", Prof. Subhrakanta Panda, Prof. Jabez Christopher, and co-authors in Journal of Discover Applied Sciences 2025
• "MALITE: Lightweight Malware Detection and Classification for Constrained Devices"  Prof. Barsha Mitra and co-authors in IEEE Transactions on Emerging Topics in Computing 2025
• "Enhancing manufacturing process accuracy: A multidisciplinary approach integrating computer vision, machine learning, and control systems", Prof. Tathagata Ray and Co-authors in the Journal of Manufacturing Processes 2025
• "Comparison and assessment of machine learning approaches in manufacturing applications," Prof. Tathagata Ray and Co-authors, in the Journal of Industrial Artificial Intelligence 2025
• "MLAPW: A framework to assess the impact of feature selection and sampling techniques on anti-pattern prediction using WSDL metrics", Prof. Bhani Murthy and co-authors in Journal of Computer Languages 2025
• "An empirical analysis on web service antipattern prediction in different variants of machine learning perspective", Prof. Bhani Murthy and co-authors in the Nature Scientific Reports 2025
• "Where Does mBERT Understand Code-Mixing? Layer-Dependent Performance on Semantic Tasks", Prof. Aruna Malapati and co-authors in IEEE Access 2025 
• "SynergyScore: Leveraging Pretrained Language Models for Effective Evaluation of Code-Switched Sentences", Prof. Aruna Malapati and co-authors in IEEE Access 2025 
• "A Convolutional Transformer Network for Anomaly Detection in Wireless Body Area Networks," Prof. Chittaranjan Hota and co-authors in IEEE Journal of Selected Areas in Sensors 2025
  

Year 2024

   Conferences

• Self‑supervised Auxiliary Learning for Texture and Model‑based Hybrid Robust and Fair Featuring in Face Analysis, Prof. Abhijit Das and co‑authors in International Conference on Pattern Recognition (ICPR) Workshop and Challenges 2024
• Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts, Prof. Sk Aziz Ali and co‑authors in Neural Information Processing Systems (NeurIPS) 2024
• INDIFACE: Illuminating India’s Deepfake Landscape with a Comprehensive Synthetic Dataset, Prof. Abhijit Das and co‑authors in IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2024
• Latent flow diffusion for deepfake video generation, Prof. Abhijit Das and co‑authors in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop 2024
• Limited data, unlimited potential: A study on vits augmented by masked autoencoders, Prof. Abhijit Das and co‑authors in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024
• Geochat: Grounded large vision‑language model for remote sensing, Prof. Abhijit Das and co‑authors in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
• Social Implications of OCEAN Personality: An Automated BERT‑Based Approach, Prof. Aruna Malapati and co‑authors in ICAART 2024
• Knowledge Empowered Deep Reinforcement Learning to Prioritize Alerts Generated by Intrusion Detection Systems, Prof. Barsha Mitra, Prof. Paresh Saxena and co-authors in International Conference on Advanced Information Networking and Applications (AINA) 2024
• SINTTRA: Sliding Window Based Temporally Aware Network Traffic Analyzer for IoT Device Fingerprinting, Prof. Barsha Mitra and co‑authors in IEEE International Conference on Intelligent Systems (INTISYS) 2024
• Eye movement tracking for computer vision syndrome using deep learning techniques, Prof. Chittaranjan Hota and co‑authors in International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2024
• Anomaly Detection in WBANs Using CNN‑Autoencoders and LSTMs, Prof. Chittaranjan Hota and co‑authors in AINA 2024
• UAV Path Planning Using Informed Search Techniques on Custom Flight Controller, Prof. Chittaranjan Hota and co‑authors in IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) 2024
• Anomaly Detection in Wireless Body Area Networks Using Generative Adversarial Networks, Prof. Chittaranjan Hota and co‑authors in IAICT 2024
• Scalable IoT Security Framework Leveraging Ensemble Learning for Attestation, Prof. Chittaranjan Hota and co‑authors in IEEE International Conference on Computational Intelligence and Communication Networks (CICN) 2024
• Is ChatGPT Ready for Indian‑Language Speakers? Findings From a Preliminary Mixed Methods Study, Prof. Dipanjan Chakraborty, Prof. Prajna Devi Upadhyay, and co-authors in India HCI 2024
• Is a Sunny Day Bright and Cheerful or Hot and Uncomfortable? Young Children’s Exploration of ChatGPT, Prof. Dipanjan Chakraborty and co‑authors in 13th Nordic Conference on Human‑Computer Interaction 2024
• LeGen: Complex Information Extraction from Legal sentences using Generative Models, Prof. Dipanjan Chakraborty, Prof. Prajna Devi Upadhyay and co-authors in Natural Legal Language Processing Workshop 2024
• Task Integrity Checker: A Block Chain‑Enabled Trust Management System for Fog Nodes, Prof. G Geethakumari and co‑authors in International Wireless Communications and Mobile Computing (IWCMC) 2024
• A Study on Drug Similarity Measures for Predicting Drug‑Drug Interactions and Severity Using Machine Learning Techniques, Prof. J Jabez Christopher, Prof. Subhrakanta Panda, and co-authors in ICAART 2024
• Interpretable Feature Optimization for Sadness Recognition in Speech Emotion Analysis, Prof. J Jabez Christopher and co‑authors in IEEE 12th International Conference on Intelligent Systems (IS) 2024
• CamInspector: Classify Video Traffic and Detect IoT (Spy) Camera Flows, Prof. J Jabez Christopher, Prof. Rajib Maiti, and co-authors in Building a Secure & Empowered Cyberspace (BuildSEC) 2024
• Security Enhancement of OTAA based Joining Procedure in LoRaWAN for Satellite Communication, Prof. Jay Dave, Prof. Nikumani Choudhury, and co-authors in IEEE Vehicular Technology Conference 2024
• LoRaWAN Scheduling Mechanism for 6G‑Based LEO Satellite Communications, Prof. Jay Dave, Prof. Nikumani Choudhury, and co-authors in IEEE VTC 2024
• Enhancing LoRaWAN Security: Protection Against Bit Flipping Attacks in IoT Networks, Prof. Jay Dave, Prof. Nikumani Choudhury, and co-authors in International Conference on Security of Information and Networks (SIN) 2024
• GRadient sharing A3C for Adaptive Bitrate (GRAAB): A DRL Based Approach for Adaptive Video Streaming, Prof. Manik Gupt, Prof. Paresh Saxena, and co-authors in International Conference on Information Networking (ICOIN) 2024
• Machine Learning on Edge in Sensor Systems (SenSys‑ML 2024), Prof. Manik Gupta and co‑authors in IEEE 3rd Workshop on Machine Learning on Edge in Sensor Systems 2024
• A Comparative Study of Few‑Shot Learning Methods for 1‑D ECG Time‑series Classification, Prof. Manik Gupta and co‑authors in International Conference on Healthcare Informatics 2024
• An ANN based model to analyze metropolitan growth around Melbourne, Australia, Prof. Manik Gupta and co‑authors in IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2024
• Racial bias in multimodal classification of healthcare data – evidence from MIMIC‑IV, Prof. Manik Gupta and co‑authors in IEEE Applied Sensing Conference (APSCON) 2024
• Anomaly Detection in WBANs using Semi‑Supervised Double Deep Q‑Networks, Prof. Bhanu Murthy and co‑authors in IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) 2024
• Detection and Classification of Sleep Posture at Edge Device in Smart Home, Prof. Nikumani Choudhury and co‑authors in IEEE ANTS 2024
• Improving Network Efficiency in Clustered Tree Topology through PSO Optimization in IEEE 802.15.4‑DSME based IoT Networks, Prof. Jay Dav, Prof. Nikumani Choudhury, and co-authors in IEEE ANTS 2024
• Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices, Prof. Nikumani Choudhury and co‑authors in IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC) 2024
• iSFA: Intelligent SF Allocation Approach for LoRa‑Based Mobile and Static End Devices, Prof. Nikumani Choudhury and co‑authors in IEEE Wireless Communications and Networking Conference (WCNC) 2024
• Multiband Jamming Waveform Design for Advanced GNSS Receivers and UAVs, Prof. Paresh Saxena and co‑authors in IEEE Microwaves, Antennas, and Propagation Conference (MAPCON) 2024
• Computation Offloading in NTN‑empowered MEC using Multi‑Agent Distributed Deep Reinforcement Learning, Prof. Paresh Saxena and co‑authors in IEEE GLOBECOM 2024
• BERT‑based Idiom Identification using Language Translation and Word Cohesion, Prof. Apurba Das, Prof. Prajna Devi Upadhyay, and co-authors in Joint Workshop on MWE‑UD @ LREC‑COLING 2024
• Computing generic abstractions from application datasets, Prof. Prajna Devi Upadhyay and co‑authors in EDBT 2024 – Extending Database Technology 2024
• Efficient Assembly Line Operations through Machine Vision‑Enabled Assembly Part Classification, Prof. Tathagata Ray and co‑authors in 2nd International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC) 2024
• Peter Parker or Spiderman? Disambiguating Multiple Class Labels, Prof. Venkatakrishnan Ramaswamy and co‑authors in Conference on Neural Information Processing Systems (NeurIPS) Workshop 2024