Virtual Reality Based Maintenance Training Effectiveness Measures - a Novel Approach for Rail Industry. - Nalin Randeniya; Sagheer Ranjha; Ambarish Kulkarni; Guoxing Lu (ISIE, 2019)

Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory. - Mahbuba Afrin; Jiong Jin; Ashfaqur Rahman; Yu-Chu Tian; Ambarish Kulkarni (Future Gener. Comput. Syst., 2019)

Communication-Aware Cloud Robotic Task Offloading With On-Demand Mobility for Smart Factory Maintenance. - Akhlaqur Rahman; Jiong Jin; Antonio L. Cricenti; Ashfaqur Rahman; Ambarish Kulkarni (IEEE Trans. Ind. Informatics, 2019)

Industry 4.0 Applications for Medical/Healthcare Services. - Shuva Paul; Muhtasim Riffat; Abrar Yasir; Mir Nusrat Mahim; Bushra Yasmin Sharnali; Intisar Tahmid Naheen; Akhlaqur Rahman; Ambarish Kulkarni (J. Sens. Actuator Networks, 2021)

Cloud Empowered Real-Time Virtual 3 Manufacturing Systems. - Sourabh Dani; Akhlaqur Rahman; Jiong Jin; Ambarish Kulkarni (Handbook of Real-Time Computing, 2022)

A Numerical Model to Evaluate the HVAC Power Demand of Electric Vehicles. - Ambarish Kulkarni; Gerrit Brandes; Akhlaqur Rahman; Shuva Paul (IEEE Access, 2022)

Robotic Edge Resource Allocation for Agricultural Cyber-Physical System. - Mahbuba Afrin; Jiong Jin; Ashfaqur Rahman; Andrea Gasparri; Yu-Chu Tian; Ambarish Kulkarni (IEEE Trans. Netw. Sci. Eng., 2022)

Intelligent Transportation System With 5G Vehicle-to-Everything (V2X): Architectures, Vehicular Use Cases, Emergency Vehicles, Current Challenges, and Future Directions. - Vaishali Pawar; Nilima Zade; Deepali Rahul Vora; Vaishali D. Khairnar; Aurenice Oliveira; Ketan Kotecha; Ambarish Kulkarni (IEEE Access, 2024)

Federated Learning Enhanced MLP-LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction. - Jayaraman Kumarappan; Elakkiya Rajasekar; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; Ambarish Kulkarni (Int. J. Comput. Intell. Syst., 2024)

Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions. - Jayaraman Kumarappan; Elakkiya Rajasekar; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; Ambarish Kulkarni (J. Big Data, 2024)