Ourania Spantidi

29 papers A* 1A 4B 1C 4Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Theory Is Cool But So Are Microcontrollers: Computer Science Student Reactions to Arduino TinyML. SIGCSE (1) Ourania Spantidi
2025	—	`conf`	"Are We Going to Crash?": The Effect of an AI Presence in User Experience During a VR Flight. ISVC (2) Kaitlyn Tracy, William Dalian, Rami Dari, Ourania Spantidi
2025	C	`conf`	Approximate Multiplier Mapping for Unfairness Mitigation in Energy-Efficient DNNs. ISCAS Ourania Spantidi, Georgios Zervakis, Jörg Henkel, Iraklis Anagnostopoulos
2025	J	`jnl`	Impact of GPT-Driven Teaching Assistants in VR Learning Environments. IEEE Trans. Learn. Technol. Kaitlyn Tracy, Ourania Spantidi
2025	J	`jnl`	Leveraging Highly Approximated Multipliers in DNN Inference. IEEE Access Georgios Zervakis, Fabio Frustaci, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel
2025	C	`conf`	Leveraging Image Difficulty for Run-Time Adaptive DNN Inference on Embedded Devices. ISCAS Vasileios Pentsos, Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos
2025	J	`jnl`	Planogen: A Procedural Generation Framework for Dynamic VR Research Environments. Virtual Worlds Kaitlyn Tracy, Lazaros Rafail Kouzelis, Rami Dari, Ourania Spantidi
2024	J	`jnl`	Leveraging Highly Approximated Multipliers in DNN Inference. CoRR Georgios Zervakis, Fabio Frustaci, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel
2024	—	`conf`	Toward Dynamic NPC Interactions: Integrating GPT-Driven Agents in 3D Virtual Environments. ISVC (2) Jorde Stojanov, Lazaros Rafail Kouzelis, Ourania Spantidi
2023	A	`conf`	Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints. DATE Ourania Spantidi, Iraklis Anagnostopoulos
2023	—	`conf`	Synthesizing Play-Ready VR Scenes with Natural Language Prompts Through GPT API. ISVC (2) Lazaros Rafail Kouzelis, Ourania Spantidi
2023	J	`jnl`	Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators. IEEE Trans. Emerg. Top. Comput. Ourania Spantidi, Georgios Zervakis, Sami Alsalamin, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch, Iraklis Anagnostopoulos
2023	C	`conf`	The Perfect Match: Selecting Approximate Multipliers for Energy-Efficient Neural Network Inference. HPSR Ourania Spantidi, Iraklis Anagnostopoulos
2022	J	`jnl`	Energy-Efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel
2022	J	`jnl`	Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. CoRR Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel
2022	C	`conf`	Fair Scheduling Through Collaborative Filtering on Multicore Systems. ISCAS Ourania Spantidi, Theodoros Marinakis, Iraklis Anagnostopoulos
2022	—	`conf`	How much is too much error? Analyzing the impact of approximate multipliers on DNNs. ISQED Ourania Spantidi, Iraklis Anagnostopoulos
2022	J	`jnl`	Thermal-Aware Design for Approximate DNN Accelerators. IEEE Trans. Computers Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Ourania Spantidi, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch
2021	A*	`conf`	Control Variate Approximation for DNN Accelerators. DAC Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel
2021	J	`jnl`	Control Variate Approximation for DNN Accelerators. CoRR Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel
2021	A	`conf`	Efficient Resource Management of Clustered Multi-Processor Systems Through Formal Property Exploration. DATE Ourania Spantidi, Iraklis Anagnostopoulos, Georgios Fainekos
2021	J	`jnl`	Online frequency-based performance and power estimation for clustered multi-processor systems. Comput. Electr. Eng. Shivam Kundan, Ourania Spantidi, Iraklis Anagnostopoulos
2021	A	`conf`	Positive/Negative Approximate Multipliers for DNN Accelerators. ICCAD Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel
2021	J	`jnl`	Positive/Negative Approximate Multipliers for DNN Accelerators. CoRR Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel
2021	A	`conf`	Reliability-Aware Quantization for Anti-Aging NPUs. DATE Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch
2021	J	`jnl`	Reliability-Aware Quantization for Anti-Aging NPUs. CoRR Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch
2020	—	`conf`	Frequency-based Power Efficiency Improvement of CNNs on Heterogeneous IoT Computing Systems. WF-IoT Ourania Spantidi, Ioannis Galanis, Iraklis Anagnostopoulos
2020	B	`conf`	TLTk: A Toolbox for Parallel Robustness Computation of Temporal Logic Specifications. RV Joseph Cralley, Ourania Spantidi, Bardh Hoxha, Georgios Fainekos
2018	J	`jnl`	The effects of appearance and motion of virtual characters on emotional reactivity. Comput. Hum. Behav. Christos Mousas, Dimitris Anastasiou, Ourania Spantidi

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.