Heuristic for maximum matching in directed complex networks. - Ayan Chatterjee; Debayan Das; Mrinal K. Naskar; Nabamita Pal; Amitava Mukherjee 001 (ICACCI, 2013)

Markov chain based analysis of IEEE 802.15.6 MAC protocol in real life scenario. - Amitava Mukherjee 001; Bitan Bandyopadhyay; Debayan Das; Ayan Chatterjee; Sk Jahid Ahmed; Mrinal K. Naskar (BODYNETS, 2014)

A Degree-first Greedy Search Algorithm for the Evaluation of Structural Controllability of Real World Directed Complex Networks. - Debayan Das; Ayan Chatterjee; Nabamita Pal; Amitava Mukherjee 001; Mrinal Kanti Naskar (Netw. Protoc. Algorithms, 2014)

Non-autonomous dynamic network model involving growth and decay. - Ayan Chatterjee; Amitava Chakraborty; Saptarshi Pal; Amitava Mukherjee 001; Mrinal K. Naskar (ANTS, 2016)

Fabrication of C-MEMS Derived 3-Dimensional Glassy Carbon Microelectrodes for Neural Sensing and Stimulation. - Richa Mishra; Bidhan Pramanick; Ayan Chatterjee; Tapas K. Maiti; T. K. Bhattacharyya (IEEE SENSORS, 2018)

eHealth Initiatives for The Promotion of Healthy Lifestyle and Allied Implementation Difficulties. - Ayan Chatterjee; Martin W. Gerdes; Santiago G. Martinez (WiMob, 2019)

Endmember Learning with K-Means through SCD Model in Hyperspectral Scene Reconstructions. - Ayan Chatterjee; Peter W. T. Yuen (J. Imaging, 2019)

Design of a Tunable Snapshot Multispectral Imaging System through Ray Tracing Simulation. - Mengjia Ding; Peter W. T. Yuen; Jonathan Piper; Peter Godfree; Ayan Chatterjee; Usman Zahidi; Senthurran Selvagumar; David James; Mark A. Richardson 001 (J. Imaging, 2019)

A Radiative Transfer Model-Based Multi-Layered Regression Learning to Estimate Shadow Map in Hyperspectral Images. - Usman Zahidi; Ayan Chatterjee; Peter W. T. Yuen (Mach. Learn. Knowl. Extr., 2019)

Rapid Estimation of Orthogonal Matching Pursuit Representation. - Ayan Chatterjee; Peter W. T. Yuen (IGARSS, 2020)

A Statistical Study to Analyze the Impact of External Weather Change on Chronic Pulmonary Infection in South Norway with Machine Learning Algorithms. - Ayan Chatterjee; Martin W. Gerdes; Andreas Prinz 001; Santiago Martinez (INTAP, 2020)

Development of a Smart e-Coach Recommendation System for Obesity. - Ayan Chatterjee; Martin W. Gerdes; Santiago G. Martinez (MIE, 2020)

A Proposed Access Control-Based Privacy Preservation Model to Share Healthcare Data in Cloud. - Pankaj Khatiwada; Hari Bhusal; Ayan Chatterjee; Martin W. Gerdes (WiMob, 2020)

Link Capacity Distributions and Optimal Capacities for Competent Network Performance. - Saptarshi Pal; Ayan Chatterjee; Dripto Bakshi; Amitava Mukherjee 001 (CoRR, 2020)

Automated Human Activity Recognition by Colliding Bodies Optimization-based Optimal Feature Selection with Recurrent Neural Network. - Pankaj Khatiwada; Matrika Subedi; Ayan Chatterjee; Martin Wulf Gerdes (CoRR, 2020)

Leveraging Technology for Healthcare and Retaining Access to Personal Health Data to Enhance Personal Health and Well-being. - Ayan Chatterjee; Ali Shahaab; Martin W. Gerdes; Santiago G. Martinez; Pankaj Khatiwada (CoRR, 2020)

Identification of Risk Factors Associated with Obesity and Overweight - A Machine Learning Overview. - Ayan Chatterjee; Martin W. Gerdes; Santiago G. Martinez (Sensors, 2020)

Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death. - Ayan Chatterjee; Martin W. Gerdes; Santiago G. Martinez (Sensors, 2020)

Automated Human Activity Recognition by Colliding Bodies Optimization (CBO) -based Optimal Feature Selection with RNN. - Pankaj Khatiwada; Ayan Chatterjee; Matrika Subedi (HPCC/DSS/SmartCity/DependSys, 2021)

AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands. - Ayan Chatterjee; Omair Shafi Ahmed; Robin Walters 001; Zohair Shafi; Deisy Morselli Gysi; Rose Yu; Tina Eliassi-Rad; Albert-László Barabási; Giulia Menichetti (CoRR, 2021)

Sharp Triple-Notched Ultra Wideband Antenna with Gain Augmentation Using FSS for Ground Penetrating Radar. - Surajit Kundu; Ayan Chatterjee (Wirel. Pers. Commun., 2021)

Quality Assurance in MLOps Setting: An Industrial Perspective. - Ayan Chatterjee; Bestoun S. Ahmed; Erik Hallin; Anton Engman (ISE@APSEC, 2022)

Analyze the Effect of Healthy Behavior on Weight Change and Its Conceptual Use in Digital Behavioral Intervention. - Ayan Chatterjee; Nibedita Pahari; Martin Gerdes; Ram Bajpai (HealthCom, 2022)

Prediction Modeling in Activity eCoaching for Tailored Recommendation Generation: A Conceptualization. - Ayan Chatterjee; Andreas Prinz 001; Michael Riegler 001 (MeMeA, 2022)

Testing of machine learning models with limited samples: an industrial vacuum pumping application. - Ayan Chatterjee; Bestoun S. Ahmed; Erik Hallin; Anton Engman (ESEC/SIGSOFT FSE, 2022)

SCENIC: An Area and Energy-Efficient CNN-based Hardware Accelerator for Discernable Classification of Brain Pathologies using MRI. - Bodepu Sai Tirumala Naidu; Shreya Biswas; Rounak Chatterjee; Sayak Mandal; Srijan Pratihar; Ayan Chatterjee; Arnab Raha; Amitava Mukherjee 001; Janet Paluh (VLSID, 2022)

LSTM Step Prediction and Ontology-Based Recommendation Generation in Activity eCoaching. - Ayan Chatterjee; Nibedita Pahari; Michael Riegler 001; Andreas Prinz 001 (WiMob, 2022)

Planar FSS Based Dual-Band Wire Monopole Antenna for Multi-Directional Radiation With Diverse Beamwidths. - Ayan Chatterjee; Soumen Banerjee; Jaroslav Frnda; Marek Dvorsky (IEEE Access, 2022)

SFTSDH: Applying Spring Security Framework With TSD-Based OAuth2 to Protect Microservice Architecture APIs. - Ayan Chatterjee; Martin W. Gerdes; Pankaj Khatiwada; Andreas Prinz 001 (IEEE Access, 2022)

MultiViz: A Gephi Plugin for Scalable Visualization of Multi-Layer Networks. - Jayamohan Pillai C. S.; Ayan Chatterjee; Geetha M.; Amitava Mukherjee 001 (CoRR, 2022)

From NetLogo Modeling of Deterministic Random Walk to the Identification of Asymmetric Saturation Time in Random Graphs. - Ayan Chatterjee; Qingtao Cao; Amirhossein Sajadi; Babak Ravandi (CoRR, 2022)

IoT anomaly detection methods and applications: A survey. - Ayan Chatterjee; Bestoun S. Ahmed (Internet Things, 2022)

Applying Spring Security Framework with KeyCloak-Based OAuth2 to Protect Microservice Architecture APIs: A Case Study. - Ayan Chatterjee; Andreas Prinz 001 (Sensors, 2022)

HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study. - Ayan Chatterjee; Nibedita Pahari; Andreas Prinz 001 (Sensors, 2022)

ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset. - Michael A. Riegler; Vajira Thambawita; Ayan Chatterjee; Binh T. Nguyen 001; Steven Alexander Hicks; Vibeke Telle-Hansen; Svein Arne Pettersen; Dag Johansen; Ramesh C. Jain; Pål Halvorsen (MMM (1), 2023)

Multi-Class Stress Detection Through Heart Rate Variability: A Deep Neural Network Based Study. - Jon Andreas Mortensen; Martin Efremov Mollov; Ayan Chatterjee; Debasish Ghose; Frank Y. Li (IEEE Access, 2023)

Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction. - Ayan Chatterjee; Robin Walters 001; Giulia Menichetti; Tina Eliassi-Rad (CoRR, 2023)

GRASP: Accelerating Shortest Path Attacks via Graph Attention. - Zohair Shafi; Benjamin A. Miller; Ayan Chatterjee; Tina Eliassi-Rad; Rajmonda Sulo Caceres (CoRR, 2023)

AIDA - A holistic AI-driven networking and processing framework for industrial IoT applications. - Hamza Chahed; Muhammad Usman 012; Ayan Chatterjee; Firas Bayram; Rajat Chaudhary; Anna Brunström; Javid Taheri; Bestoun S. Ahmed; Andreas Kassler (Internet Things, 2023)

Deterministic random walk model in NetLogo and the identification of asymmetric saturation time in random graph. - Ayan Chatterjee; Qingtao Cao; Amirhossein Sajadi; Babak Ravandi (Appl. Netw. Sci., 2023)

AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach. - Ayan Chatterjee; Nibedita Pahari; Andreas Prinz 001; Michael Riegler 001 (BMC Medical Informatics Decis. Mak., 2023)

Personalized Asthma Recommendation System: Leveraging Predictive Analysis and Semantic Ontology-Based Knowledge Graph. - Ayan Chatterjee (KEOD, 2024)

A Fuzzy Decision Support System with Semantic Knowledge Graph for Personalized Asthma Monitoring: A Conceptual Modeling. - Ayan Chatterjee (KEOD, 2024)

Sovereignty in Automated Stroke Prediction and Recommendation System with Explanations and Semantic Reasoning. - Ayan Chatterjee (ICDS, 2024)

Sovereignty-Aware Intrusion Detection on Streaming Data: Automatic Machine Learning Pipeline and Semantic Reasoning. - Ayan Chatterjee; Sundar Gopalakrishnan; Ayan Mondal 002 (ICDS, 2024)

Generating Human Understandable Explanations for Node Embeddings. - Zohair Shafi; Ayan Chatterjee; Tina Eliassi-Rad (CoRR, 2024)

Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks. - Ayan Chatterjee; Vajira Thambawita; Michael A. Riegler; Pål Halvorsen (IEEE Access, 2025)

MusicReco: Interactive Interface Modeling With User-Centered Design in a Music Recommendation System. - Mats Ottem Frantzvaag; Ayan Chatterjee; Debasish Ghose; Soumya P. Dash (IEEE Access, 2025)

Sb-PiPLU: A Novel Parametric Activation Function for Deep Learning. - Ayan Mondal 002; Vimal K. Shrivastava; Ayan Chatterjee; Raghavendra Ramachandra (IEEE Access, 2025)

Explaining Node Embeddings. - Zohair Shafi; Ayan Chatterjee; Tina Eliassi-Rad (Trans. Mach. Learn. Res., 2025)

Transfer Learning for Temporal Link Prediction. - Ayan Chatterjee; Barbara Ikica; Babak Ravandi; John Palowitch (CoRR, 2025)