D. K. Subramanian

20 papers Misc 1Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2019	—	`conf`	Towards Solution-Processed Top-Emitting OLEDs Using a Phosphorescent Iridium Complex. ICTON Yolande Murat, D. K. Subramanian, A. V. Lakshmanan, Martina Gerken
2006	J	`jnl`	Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification. Pattern Recognit. P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2006	J	`jnl`	Efficient median based clustering and classification techniques for protein sequences. Pattern Anal. Appl. P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2005	—	`conf`	An Efficient Hybrid Hierarchical Agglomerative Clustering (HHAC) Technique for Partitioning Large Data Sets. PReMI P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2005	—	`conf`	Analysis of Leader based Clustering Algorithms for Pattern Classification. IICAI P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2004	J	`jnl`	An Efficient Hierarchical Clustering Algorithm for Protein Sequences. Int. J. Comput. Sci. Appl. P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2004	—	`conf`	An Efficient Technique for Protein Sequence Clustering and Classification. ICPR (2) P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2004	J	`jnl`	Leaders - Subleaders: An efficient hierarchical clustering algorithm for large data sets. Pattern Recognit. Lett. P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2003	J	`jnl`	Knowledge-based association rule mining using AND-OR taxonomies. Knowl. Based Syst. D. K. Subramanian, V. S. Ananthanarayana, M. Narasimha Murty
2003	J	`jnl`	Tree structure for efficient data mining using rough sets. Pattern Recognit. Lett. V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2001	J	`jnl`	An incremental data mining algorithm for compact realization of prototypes. Pattern Recognit. V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2001	J	`jnl`	Efficient clustering of large data sets. Pattern Recognit. V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2001	J	`jnl`	Multi-dimensional semantic clustering of large databases for association rule mining. Pattern Recognit. V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2000	Misc	`conf`	Scalable, Distributed and Dynamic Mining of Association Rules. HiPC V. S. Ananthanarayana, D. K. Subramanian, M. Narasimha Murty
1998	J	`jnl`	Query Optimization in Multidatabase Systems. Distributed Parallel Databases D. K. Subramanian, K. Subramanian
1993	J	`jnl`	An Affinity-Based Dynamic Load Balancing Protocol for Distributed Tansaction Processing Systems. Perform. Evaluation Sibsankar Haldar, D. K. Subramanian
1992	J	`jnl`	A Modified Round Robin Scheduler for Time-Sharing Systems. Comput. J. Sibsankar Haldar, D. K. Subramanian
1991	J	`jnl`	Fairness in Processor Scheduling in Time Sharing Systems. ACM SIGOPS Oper. Syst. Rev. Sibsankar Haldar, D. K. Subramanian
1988	J	`jnl`	An Efficient Solution to the Mutual Exclusion Problem Using Unfair and Weak Semaphore. ACM SIGOPS Oper. Syst. Rev. Sibsankar Haldar, D. K. Subramanian
1988	J	`jnl`	Ring Based Termination Detection Algorithm for Distributed Computations. Inf. Process. Lett. Sibsankar Haldar, D. K. Subramanian

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.