Abhinandan S. Prasad

25 papers A* 1B 6C 2Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly. IEEE Trans. Parallel Distributed Syst. Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Abhinandan S. Prasad, Chitra Babu, Yogesh Simmhan
2026	J	`jnl`	GreenEdge AI: Sustainable federated learning for smart city air quality prediction. J. Ind. Inf. Integr. Sweta Dey, Rishi Raina, Sudeepta Mishra, Abhinandan S. Prasad, Ramesh Dharavath
2025	J	`jnl`	Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly. CoRR Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Abhinandan S. Prasad, Chitra Babu, Yogesh Simmhan
2025	J	`jnl`	Random Adaptive Cache Placement Policy. CoRR Vrushank Ahire, Pranav Menon, Aniruddh Muley, Abhinandan S. Prasad
2024	—	`conf`	HiPC 2024: 16th Student Research Symposium (SRS). HIPCW Abhinandan S. Prasad, Konduri Aditya
2024	—	`conf`	MADE: An MEC Supported Platform Independent and Version Agnostic Framework for Mobile Application Deployment. ANTS Arpit Tripathi, Abhishek Thakur, Abhinandan S. Prasad, Bheemarjuna Reddy Tamma, Subhrendu Chattopadhyay
2024	—	`conf`	Random Adaptive Cache Placement Policy. HIPCW Vrushank Ahire, Pranav Menon, Aniruddh Muley, Abhinandan S. Prasad
2024	B	`conf`	XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms. CCGrid Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Harini Mohan, Jahnavi Murali, Mohith A, Ragul B, Sanjai Balajee, Sanjjit S, Swathika D, Vaishnavi S, Yashasvee V, Chitra Babu, Abhinandan S. Prasad, Yogesh Simmhan
2023	—	`ed.`	23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023 - Workshops, Bangalore, India, May 1-4, 2023 CCGridW Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale
2023	B	`ed.`	23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023 CCGrid Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale
2023	C	`ed.`	7th IEEE International Conference on Fog and Edge Computing, ICFEC 2023, Bangalore, India, May 1-4, 2023 ICFEC Blesson Varghese, Cristina L. Abad, Yogesh Simmhan, Khalid Elgazzar, Stefan Schulte, Abhinandan S. Prasad, Lorenzo Carnevale
2023	B	`conf`	COUNSEL: Cloud Resource Configuration Management using Deep Reinforcement Learning. CCGrid Adithya Hegde, Sameer G. Kulkarni, Abhinandan S. Prasad
2022	—	`ed.`	CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8 - 10, 2022 COMAD/CODS Gargi Dasgupta, Yogesh Simmhan, Balaji Vasan Srinivasan, Sourav S. Bhowmick, Amith Singhee, Maya Ramanath, Nipun Batra, Abhinandan S. Prasad
2020	B	`conf`	Amalgam: Distributed Network Control With Scalable Service Chaining. Networking Subhrendu Chattopadhyay, Sukumar Nandi, Sandip Chakraborty, Abhinandan S. Prasad
2019	B	`conf`	DMC: A Differential Marketplace for Cloud Resources. CCGRID Abhinandan S. Prasad, Mayutan Arumaithurai, David Koll, Xiaoming Fu
2019	A*	`conf`	OFM: An Online Fisher Market for Cloud Computing. INFOCOM Abhinandan S. Prasad, Mayutan Arumaithurai, David Koll, Yuming Jiang, Xiaoming Fu
2018	J	`jnl`	A Combinatorial Auction Mechanism for Multiple Resource Procurement in Cloud Computing. IEEE Trans. Cloud Comput. Vinu Prasad G, Abhinandan S. Prasad, Shrisha Rao
2018	J	`jnl`	RConf(PD): Automated resource configuration of complex services in the cloud. Future Gener. Comput. Syst. Abhinandan S. Prasad, David Koll, Jesus Omaña Iglesias, Jordi Arjona Aroca, Volker Hilt, Xiaoming Fu
2017	B	`conf`	Optimal Resource Configuration of Complex Services in the Cloud. CCGrid Abhinandan S. Prasad, David Koll, Jesus Omaña Iglesias, Jordi Arjona Aroca, Volker Hilt, Xiaoming Fu
2017	—	`conf`	RAERA: A Robust Auctioning Approach for Edge Resource Allocation. MECOMM@SIGCOMM Abhinandan S. Prasad, Mayutan Arumaithurai, David Koll, Xiaoming Fu
2017	—	`ch.`	Resource Procurement, Allocation, Metering, and Pricing in Cloud Computing. Research Advances in Cloud Computing Akshay Narayan, Parvathy S. Pillai, Abhinandan S. Prasad, Shrisha Rao
2015	—	`conf`	On the Security of Software-Defined Networks. EWSDN Abhinandan S. Prasad, David Koll, Xiaoming Fu
2014	J	`jnl`	A Mechanism Design Approach to Resource Procurement in Cloud Computing. IEEE Trans. Computers Abhinandan S. Prasad, Shrisha Rao
2012	C	`conf`	A Combinatorial Auction mechanism for multiple resource procurement in cloud computing. ISDA Vinu Prasad G, Shrisha Rao, Abhinandan S. Prasad
2010	—	`conf`	Citation Matching in Sanskrit Corpora Using Local Alignment. Sanskrit Computational Linguistics Abhinandan S. Prasad, Shrisha Rao

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.