Optimizing Long-term IaaS Service Composition. - Sajib Mistry; Athman Bouguettaya; Hai Dong; A. Kai Qin (ICSOC, 2015)

Predicting Dynamic Requests Behavior in Long-Term IaaS Service Composition. - Sajib Mistry; Athman Bouguettaya; Hai Dong; A. Kai Qin (ICWS, 2015)

Qualitative Economic Model for Long-Term IaaS Composition. - Sajib Mistry; Athman Bouguettaya; Hai Dong; Abdelkarim Erradi (ICSOC, 2016)

Long-Term QoS-Aware Cloud Service Composition Using Multivariate Time Series Analysis. - Zhen Ye; Sajib Mistry; Athman Bouguettaya; Hai Dong (IEEE Trans. Serv. Comput., 2016)

Social-Sensor Cloud Service for Scene Reconstruction. - Tooba Aamir; Athman Bouguettaya; Hai Dong; Sajib Mistry; Abdelkarim Erradi (ICSOC, 2017)

Probabilistic Qualitative Preference Matching in Long-Term IaaS Composition. - Sajib Mistry; Athman Bouguettaya; Hai Dong; Abdelkarim Erradi (ICSOC, 2017)

A service computing manifesto: the next 10 years. - Athman Bouguettaya; Munindar P. Singh; Michael N. Huhns; Quan Z. Sheng; Hai Dong; Qi Yu 001; Azadeh Ghari Neiat; Sajib Mistry; Boualem Benatallah; Brahim Medjahed; Mourad Ouzzani; Fabio Casati; et al. (Commun. ACM, 2017)

Crowdsourced Coverage as a Service: Two-Level Composition of Sensor Cloud Services. - Azadeh Ghari Neiat; Athman Bouguettaya; Timos Sellis; Sajib Mistry (IEEE Trans. Knowl. Data Eng., 2017)

Economic Models for Managing Cloud Services - Sajib Mistry; Athman Bouguettaya; Hai Dong (Springer, 2018)

A CP-Net Based Qualitative Composition Approach for an IaaS Provider. - Sheik Mohammad Mostakim Fattah; Athman Bouguettaya; Sajib Mistry (WISE (2), 2018)

Metaheuristic Optimization for Long-term IaaS Service Composition. - Sajib Mistry; Athman Bouguettaya; Hai Dong; Alex Kai Qin (IEEE Trans. Serv. Comput., 2018)

Constraint-Aware Drone-as-a-Service Composition. - Babar Shahzaad; Athman Bouguettaya; Sajib Mistry; Azadeh Ghari Neiat (ICSOC, 2019)

Long-Term IaaS Provider Selection Using Short-Term Trial Experience. - Sheik Mohammad Mostakim Fattah; Athman Bouguettaya; Sajib Mistry (ICWS, 2019)

Composing Drone-as-a-Service (DaaS) for Delivery. - Babar Shahzaad; Athman Bouguettaya; Sajib Mistry; Azadeh Ghari Neiat (ICWS, 2019)

Incentive-Based Crowdsourcing of Hotspot Services. - Azadeh Ghari Neiat; Athman Bouguettaya; Sajib Mistry (ACM Trans. Internet Techn., 2019)

Incentive-Based Selection and Composition of IoT Energy Services. - Amani Abusafia; Athman Bouguettaya; Sajib Mistry (SCC, 2020)

Swarm-based Drone-as-a-Service (SDaaS) for Delivery. - Balsam Alkouz; Athman Bouguettaya; Sajib Mistry (ICWS, 2020)

A Conflict Detection Framework for IoT Services in Multi-resident Smart Homes. - Dipankar Chaki; Athman Bouguettaya; Sajib Mistry (ICWS, 2020)

Signature-based Selection of IaaS Cloud Services. - Sheik Mohammad Mostakim Fattah; Athman Bouguettaya; Sajib Mistry (ICWS, 2020)

A Game-Theoretic Drone-as-a-Service Composition for Delivery. - Babar Shahzaad; Athman Bouguettaya; Sajib Mistry (ICWS, 2020)

Elastic Composition of Crowdsourced IoT Energy Services. - Abdallah Lakhdari; Athman Bouguettaya; Sajib Mistry; Azadeh Ghari Neiat; Basem Suleiman (MobiQuitous, 2020)

Conflict Detection of IoT_Services in Smart Home. - Bing Huang; Athman Bouguettaya; Sajib Mistry (CoRR, 2020)

Robust Composition of Drone Delivery Services under Uncertainty. - Babar Shahzaad; Athman Bouguettaya; Sajib Mistry (ICWS, 2021)

An internet of things service roadmap. - Athman Bouguettaya; Quan Z. Sheng; Boualem Benatallah; Azadeh Ghari Neiat; Sajib Mistry; Aditya Ghose; Surya Nepal; Lina Yao 001 (Commun. ACM, 2021)

Resilient composition of drone services for delivery. - Babar Shahzaad; Athman Bouguettaya; Sajib Mistry; Azadeh Ghari Neiat (Future Gener. Comput. Syst., 2021)

Sequential Learning-based IaaS Composition. - Sajib Mistry; Sheik Mohammad Mostakim Fattah; Athman Bouguettaya (ACM Trans. Web, 2021)

An Optimization Ontology for Goal Modelling Frameworks. - Krishna Gaur; Raghu Raj Sodani; Akshat Dobriyal; Anuj Mohan Pillai; Swasti Khurana; Novarun Deb; Sajib Mistry; Aditya K. Ghose (EDOC Workshops, 2022)

Temporal Match Analysis and Recommending Substitutions in Live Soccer Games. - Yuval Berman; Sajib Mistry; Joby Mathew; Aneesh Krishna (ICWS, 2022)

Machine learning-based proactive social-sensor service for mental health monitoring using twitter data. - Shailesh Hinduja; Mahbuba Afrin; Sajib Mistry; Aneesh Krishna (Int. J. Inf. Manag. Data Insights, 2022)

Layer-based Composite Reputation Bootstrapping. - Sajib Mistry; Lie Qu; Athman Bouguettaya (ACM Trans. Internet Techn., 2022)

Long-Term IaaS Selection Using Performance Discovery. - Sheik Mohammad Mostakim Fattah; Athman Bouguettaya; Sajib Mistry (IEEE Trans. Serv. Comput., 2022)

Composing Energy Services in a Crowdsourced IoT Environment. - Abdallah Lakhdari; Athman Bouguettaya; Sajib Mistry; Azadeh Ghari Neiat (IEEE Trans. Serv. Comput., 2022)

Reputation Bootstrapping for Composite Services Using CP-Nets. - Sajib Mistry; Athman Bouguettaya (IEEE Trans. Serv. Comput., 2022)

Machine Learning as a Service (MLaaS) Selection with Incomplete QoS Information. - Keya Patel; Sajib Mistry; Sai Krishna Deepak Kanneganti; Aneesh Krishna (ACIS, 2023)

COVID-19 Fake News Detection Using Cross-Domain Classification Techniques. - Arnav Sharma; Subhanjali Sharma; Utkarsh Bhardwaj; Sajib Mistry; Novarun Deb; Aneesh Krishna (AI (1), 2023)

Adaptive QoS-Aware Task Offloading in Dynamic Mobile Edge Computing Environment. - Jacob Don; Sajib Mistry; Md. Redowan Mahmud; Aneesh Krishna (MobiQuitous (2), 2023)

On-graph Machine Learning-based Fraud Detection in Ethereum Cryptocurrency Transactions. - Helen Milner; Md. Redowan Mahmud; Mahbuba Afrin; Sashowta G. Siddhartha; Sajib Mistry; Aneesh Krishna (TrustCom, 2023)

On Fusing Artificial and Convolutional Neural Network Features for Automatic Bug Assignments. - Atish Kumar Dipongkor; Md. Saiful Islam 003; Ishtiaque Hussain; Sira Yongchareon; Sajib Mistry (IEEE Access, 2023)

Egalitarian Transient Service Composition in Crowdsourced IoT Environment. - Swasti Khurana; Novarun Deb; Sajib Mistry; Aditya Ghose; Aneesh Krishna; Hoa Khanh Dam (IEEE Trans. Serv. Comput., 2023)

MedSiML: A Multilingual Approach for Simplifying Medical Texts. - Hardik A. Jain; Chirayu Patel; Riyasatali Umatiya; Sajib Mistry; Aneesh Krishna; Amin Beheshti (ICONIP (11), 2024)

A Hybrid Contextual Deep Learning Model to Predict Renewable Energy Generation. - Deepak Kanneganti; Sajib Mistry; Sumedha Rajakaruna; Aneesh Krishna; Amin Beheshti (ICONIP (11), 2024)

Context-Aware Selection of Machine Learning as a Service (MLaaS) in IoT Environments. - Keya Patel; Sajib Mistry; Deepak Kanneganti; Aneesh Krishna (WISE (PhD Symposium, Demos and Workshops), 2024)

MURE: Multi-layer real-time livestock management architecture with unmanned aerial vehicles using deep reinforcement learning. - Xinyu Tian; Mahbuba Afrin; Sajib Mistry; Md. Redowan Mahmud; Aneesh Krishna; Yan Li 002 (Future Gener. Comput. Syst., 2024)

Personalised News Summarisation Using Demographic-aware BART Model. - Daniel M. McFadyen; Md. Redowan Mahmud; Mahbuba Afrin; Sajib Mistry; Aneesh Krishna (WWW (Companion Volume), 2025)

Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing. - Minod Perera; Sheik Mohammad Mostakim Fattah; Sajib Mistry; Aneesh Krishna (WWW (Companion Volume), 2025)

Dual-phase neural networks for feature extraction and ensemble learning for recognizing human health activities. - Joy Dhar; Kapil Rana; Puneet Goyal; Azadeh Alavi; Rajib Rana; Bao Quoc Vo; Sudeepta Mishra; Sajib Mistry (Appl. Soft Comput., 2025)

FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning. - Rakibul Hasan Rajib; Md. Akil Raihan Iftee; Mir Sazzat Hossain; A. K. M. Mahbubur Rahman; Sajib Mistry; M. Ashraful Amin; Amin Ahsan Ali (CoRR, 2025)

Adaptive Composition of Machine Learning as a Service (MLaaS) for IoT Environments. - Deepak Kanneganti; Sajib Mistry; Sheik Mohammad Mostakim Fattah; Aneesh Krishna; Monowar Bhuyan (CoRR, 2025)

Trusted Microservice Orchestration for Secure Edge Computing in Industrial Cyber-Physical Systems. - Md. Redowan Mahmud; Jiong Jin; Jonathan Kua; Mahbuba Afrin; Sajib Mistry; Aneesh Krishna (IEEE Netw., 2025)

VBSFL: A Robust Blockchained Split-Fed Learning Model for Secured Distributed Learning. - George Aziz; Sajib Mistry; Aneesh Krishna (IEEE Trans. Ind. Informatics, 2025)