Quantum Computational AI: Algorithms, Systems and Applications. Long Cheng, Nishant Saurabh, Ying Mao. Morgan Kaufmann 2025.
Publications
2025:
Pilot-Quantum: A Quantum-HPC Middleware for Resource, Workload and Task Management. Pradeep Mantha, Florian J Kiwit, Nishant Saurabh, Shantenu Jha, Andre Luckow. 25th IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2025) .[Accepted]
Quantum Reinforcement Learning for QoS-aware Real-time Job Scheduling in Cloud Systems. Shuhong Dai, Nishant Saurabh, Qingle Wang, Jiawei Nian, Shuwen Kan, Ying Mao, Long Cheng. Systems Journal, IEEE 2025. [Accepted]
SmartKV: A Cost-Effective and Low-Latency Geo-Distributed Key-Value Store for the Computing Continuum. Juan Aznar Poveda, Maxmilian Franz Ebner, Thomas Fahringer, Zahra Najafabadi Samani, Marlon Etheredge, Stefan Pedratscher,Nishant Saurabh. Future Generation Computer Systems (FGCS), Elsevier 2025.
Latency and Cost-aware Consumer Group Autoscaling in Message Broker Systems. Diogo Landau, Nishant Saurabh, Xavier Andrade, Jorge G. Barbosa. Journal of Parallel and Distributed Computing (JPDC), Elsevier 2025.
Compositional Execution Motifs for Quantum-HPC Systems. Nishant Saurabh, Pradeep Mantha, Shantenu Jha, Andre Luckow. First Workshop on Advancing Scientific Computation Through Quantum and HPC Synergies (Q-Science), In conjunction with 39th IEEE International Symposium on Parallel and Distributed Processing Symposium, 2025. [Accepted]
Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study. Diogo Landau, Ingeborg de Pater, Mihaela Mitici,Nishant Saurabh. Future Generation Computer Systems (FGCS), Elsevier 2025. [Accepted]
Language Models in Software Development Task: An Experimental Analysis of Energy and Accuracy. Negar Alizadeh, Boris Belchev, Nishant Saurabh, Patricia Kelbert, Fernando Castor. 22nd International Conference on Mining Software Repositories (MSR 2025) [Accepted].
2024:
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions. Alexeev, Yuri, et al. Future Generation Computer Systems, Elsevier 2024. doi.org/10.1016/j.future.2024.04.060.
Analyzing the Energy and Accuracy of LLMs in Software Development Task. Negar Alizadeh, Boris Belchev, Nishant Saurabh, Patricia Kelbert, Fernando Castor. arXiv preprint arXiv:2412.00329 (2024)
Quantum Mini-Apps: A Framework for Efficient Quantum-HPC Applications. Nishant Saurabh, Pradeep Mantha, Florian J. Kiwit, Andre Luckow. International Workshop on High Performance and Quantum Computing Integration (HPQCI 2024), in conjuction with ACM HPDC 2024. doi.org/10.1145/3659996.3660036.
Multi-Objective Optimization of Consumer Group Autoscaling in Message Broker Systems. Diogo Landau, Nishant Saurabh, Xavier Andrade, Jorge G. Barbosa. arXiv preprint arXiv:2402.06085 (2024).
Workflows Community Submit 2024: Future Trends and Challenges in Scientific Workflows. arXiv preprint arXiv:2410.14943.
2023:
A Conceptual Architecture for a Quantum-HPC Middleware. Nishant Saurabh, Shantenu Jha, Andre Luckow. IEEE International Conference on Quantum Software (QSW), 2023.
Beyond von Neumann in the Computing Continuum: Architectures, Applications, and Future Directions. Dragi Kimovski, Nishant Saurabh, Matthijs Jansen, Atakan Aral, Auday AL-Dulaimy, Andre B. Bondi, Antonino Galletta, Alessandro V. Papadopoulos, Alexandru Iosup, Radu Prodan. IEEE Internet Computing, 2023.
Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog. Zahra Najafabadi Samani, Samani, Narges Mehran, Dragi Kimovski, Shajulin Benedict, Nishant Saurabh, Radu Prodan. IEEE Transactions on Parallel and Distributed Systems, 2023.
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions. Alexeev, Yuri, et al. arXiv preprint arXiv:2312.09733 (2023).
Multi-Objective Optimization of Federated Learning Systems in the Computing Continuum. Bogdan Mihai, Nishant Saurabh, Dragi Kimovksi. Springer International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications (FAIEMA), 2023.
ARTICONF Decentralized Social Media Platform for Democratic Crowd Journalism. In锚s Rito Lima, Vasco Filipe, Claudia Marinho, Alexandre Ulisses, Antorweep Chakravorty, Atanas Hristov, Nishant Saurabh, Zhiming Zhao, Ruyue Xin, and Radu Prodan. Springer Journal Social network analysis and mining, 2023.
2022:
Workflows Community Submit: A Roadmap revolution. arxiv 2022. https://doi.org/10.48550/arXiv.2304.00019.
MOGPlay: A Decentralized Crowd Journalism Application for Democratic 木瓜福利影视 Production. In锚s Rito Lima, Claudia Marinho, Vasco Filipe, Alexandre Ulisses, Nishant Saurabh, Antorweep Chakravorty, Zhiming Zhao, Atanas Hristov, and Radu Prodan. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 462-469. IEEE, 2022.
Context-aware Community Evolution Prediction in Online Social Networks. Alexander Lercher, Nishant Saurabh, and Radu Prodan. IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), pp. 182-189. IEEE, 2022.
2021:
Multilayer Resource-aware Partitioning for Fog Application Placement. Zahra Najafabadi Samani, Nishant Saurabh, Radu Prodan. 5thIEEE International Conference on Fog and Edge Computing, ICFEC 2021.
Adapt: Adaptive and autonomous data performance connectivity and decentralized transport network. V. Kashansky, Nishant Saurabh, R. Prodan, A. Validi, C. Olaverri-Monreal, R. Burian, G. Burian, D. Hirsch, Y. Lv, F.-Y. Wang, and H. Zuhge. ACM Proceedings of the Conference on Information Technology for Social Good, ser. GoodIT 鈥�21.
Blockchain-based Prosumer Incentivization for Peak Mitigation through Temporal Aggregation and Contextual Clustering. Nikita Karandikar, Rockey Abhishek,Nishant Saurabh, Zhiming Zhao, Alexander Lercher, Ninoslav Marina, Radu Prodan, Chunming Rong, Antorweep Chakravorty. Elsevier Journal of Blockchain: Research and Applications, 2021.
The ARTICONF Approach to Decentralized Car-Sharing.Nishant Saurabh, Carlos Rubia, Anandakumar Palanisamy, Spiros Koulouzis, Mirsat Sefidanoski, Antorweep Chakravorty, Zhiming Zhao, Aleksandar Karadimce, Radu Prodan. Elsevier Journal of Blockchain: Research and Applications, 2021.
2020:
Expelliarmus: Semantic-Centric Virtual Machine Image Management in IaaS Clouds.Nishant Saurabh, Shajulin Benedict, Jorge G. Barbosa, Radu Prodan. Journal of Parallel and Distributed Computing (JPDC), Elsevier.
A Dynamic Evolutionary Multi-Objective Virtual Machine Placement Heuristic for Cloud Infrastructures. Ennio Torre, Juan J. Durillo, Vincenzo de Maio, Prateek Agrawal, Shajulin Benedict, Nishant Saurabh, Radu Prodan. Journal of Information and Software Technology (INSOF), Elsevier.
Decentralized Social Media Applications as a Service: a Car-Sharing Perspective. Anandhakumar Palanisamy, Mirsat Sefidanoski, Spiros Koulouzis, Carlos Rubia, Nishant Saurabh, Radu Prodan. 1st IEEE workshop on blockchain theory and applications (BRAIN 2020) in conjunction with IEEE ISCC 2020.
2019:
Semantics-aware Virtual Machine Image Management in IaaS Clouds.Nishant Saurabh, Julian Remmers, Dragi Kimovski, Radu Prodan, Jorge G. Barbosa. 33rd IEEE International Parallel & Distributed Processing Symposium , IPDPS 2019, Rio de Janerio, Brazil.
ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment. Radu Prodan, Nishant Saurabh, Zhiming Zhao, Kate Orton-Johnson, Antorweep Chakravorty, Alexandre Ulisses. Euro-Par 2019 Workshops-LSDVE, Gottingen, Germany.
A Semantic Model with Self-Adaptive and Autonomous Relevant Technology for Social Media Applications. Zahra Najafabadi Samani, Alexander Lercher, Nishant Saurabh, Radu Prodan. Euro-Par 2019 Workshops-LSDVE, Gottingen, Germany.
2018:
Adaptive Nature-Inspired Fog Architecture. Dragi Kimovski, Humaira Ijaz, Nishant Saurabh, Radu Prodan. IEEE 2nd International Conference on Fog and Edge Computing, ICFEC 2018.
2017:
Distributed Environment for Efficient Virtual Machine Image Management in Federated Cloud Architectures. Dragi Kimovski, Attila Csaba Marosi, Sandi Gec, Nishant Saurabh, Attila Kertesz, Gabor Kecskemeti, Vlado Stankovski, Radu Prodan. Concurrency and Computation: Practice and Experience, June 2017.
A Two-Stage Multi-Objective Optimization of Erasure Coding in Overlay Networks.Nishant Saurabh, Dragi Kimovski, Francesco Gaetano, Radu Prodan. IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017.
2016:
Multi-Objective Middleware For Distributed VMI Repositories In Federated Cloud Environment. Dragi Kimovski, Nishant Saurabh, Vlado Stankovski, Radu Prodan. Scalable Computing: Practice and Experience, Volume 17, Number 4, pp. 299鈥�312.
Towards Decentralized Repository Services for Efficient and Transparent Virtual Machine Operations: The ENTICE Approach. Dragi Kimovski, Nishant Saurabh, Sandi Gec, Polona 艩tefanic, Gabor Kecskemeti, Vlado Stankovski, Radu Prodan, Thomas Fahringer. IEEE International Conference on Cloud Networking, CloudNet 2016.
VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues.Nishant Saurabh, Dragi Kimovski, Radu Prodan. Euro-Par 2016 Workshops-LSDVE.
Multi-objective Optimization Framework for VMI Distribution in Federated Cloud Repositories. Dragi Kimovski, Nishant Saurabh, Sandi Gec, Vlado Stankovski, Radu Prodan. Euro-Par 2016 Workshops-LSDVE.
2015:
Computing the Pseudo-Inverse of a Graph's Laplacian Using GPUs.Nishant Saurabh, Ana Lucia Varbanescu, Gyan Ranjan. Parallel and Distributed Processing Symposium Workshop (IPDPSW), 2015 IEEE International, DOI: 10.1109/IPDPSW.2015.125.
Presentations, Posters, Demos, & Invited talks
Exploring the Future of Quantum Computing: A Middleware Perspective. , Geldermalsen, The Netherlands.
Workload and Resource Management in Hetrogenous Computing Systems. HUAWEI Tulip Summit 2024, Amsterdam, The Netherlands.
Quantum Mini-Apps: A Framework for Developing an Benchmarking Quantum-HPC Applications. Conference Presentation, ACM HPDC 2024 (HPQCI workshop), Pisa, Italy.
Inference Serving on the Computing Continuum: A Midleware perspective: ASCI Winter School on Efficient Deep Learning., November 2023.
Resource Sprawl Management In 鈥楥loud-to-Thing Continuum鈥�. Invited Talk, 木瓜福利影视 of Amsterdam (UvA), SNE Cluster meeting 2021 [Online].
Next-generation Cloud Computing: Tackling Compute, Data and Hetrogeneity Sprawl. Key Note, IECNGC 2021 [Online].
On Semantics and Pareto (Inter-) Dependencies for Resource Management In 鈥楥loud-to-Thing Continuum鈥�. Invited talk, Ericsson US, GAIA Share and Learn Session 2021 [Online].
Understanding Sprawl Issues and Challenges in Distributed Infrastructures. Invited Talk, IOT-CSP 2020, Indian Institute of Information Technology (IIIT), Kottayam, India [Online].
ARTICONF Approach to Decentralised Energy Marketplace. Invited Talk, XXVIII Energy cluster meeting 2020, 木瓜福利影视 of Klagenfurt, Austria.
ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment. Conference Presentation, Euro-Par 2019, Gottingen, Germany.
Semantics-aware Virtual Machine Image Management in Iaas Clouds. Conference Presentation, IEEE IPDPS 2019, Rio de Janeiro, Brazil.
Towards a Semantic-centric VMI repository management. Poster Presentation, PhD Forum, IEEE IPDPS 2019, Rio de Janeiro, Brazil.
A Two-Stage Multi-Objective Optimization of Erasure Coding in Overlay Networks. Conference Presentation, IEEE/ACM CCGRID 2017, Madrid, Spain.
VM Image Repository and Distribution Models for Federated Clouds: State-of-the-Art, Possible Directions And Open Issues. Conference Presentation, Euro-Par 2016, Grenoble, France.
ENTICE: Decentralised Repositories for Transparent and Efficient Virtual Machine Operations. EU Cluster meeting on Clouds, Cloud Forward 2016, Madrid, Spain.
