Bapi Raju Surampudi

27 papers A* 3B 5Journal 10Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Aligning Text/Speech Representations from Multimodal Models with MEG Brain Activity During Listening. EMNLP Padakanti Srijith, Khushbu Pahwa, Radhika Mamidi, Bapi Raju Surampudi, Manish Gupta, Subba Reddy Oota
2025	A*	`conf`	Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). ICLR Subba Reddy Oota, Akshett Rai Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi GNVV, Manish Shrivastava, Maneesh Kumar Singh, Bapi Raju Surampudi, Manish Gupta
2025	J	`jnl`	Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). Trans. Mach. Learn. Res. Subba Reddy Oota, Zijiao Chen, Manish Gupta, Bapi Raju Surampudi, Gaël Jobard, Frédéric Alexandre, Xavier Hinaut
2025	J	`jnl`	Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments. CoRR Dolton Fernandes, Pramod S. Kaushik, Harsh Shukla, Bapi Raju Surampudi
2025	A*	`conf`	Multi-modal brain encoding models for multi-modal stimuli. ICLR Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Maneesh Kumar Singh, Manish Gupta, Bapi Raju Surampudi
2024	J	`jnl`	HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges. CoRR Mehul Arora, Chirag Shantilal Jain, Lalith Bharadwaj Baru, Kamalaker Dadi, Bapi Raju Surampudi
2023	—	`conf`	A Comparative Study of Machine Learning Approaches for the Detection of SARS-CoV-2 and its Variants. ICMLDE Praveen Kumar Vesapogu, Bapi Raju Surampudi
2023	B	`conf`	Application of Graph Theoretic measures for assessing efficacy of Stroke Rehabilitation. IJCNN Upadrasta Naga Sita Sravanthi, Kamalakar Dadi, Bapi Raju Surampudi, P. N. Sylaja, C. Kesavadas, Srijithesh PR, Rinta Paul
2023	B	`conf`	Dynamic functional connectivity analysis in individuals with Autism Spectrum Disorder. IJCNN Pindi Krishna Chandra Prasad, Kamalaker Dadi, Bapi Raju Surampudi
2023	—	`conf`	Encoded Deep Vectors for Eukaryotic Exon Prediction. PReMI Praveen Kumar Vesapogu, Bapi Raju Surampudi
2023	J	`jnl`	Syntactic Structure Processing in the Brain while Listening. CoRR Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi
2022	—	`conf`	Big Data in Cognitive Neuroscience: Opportunities and Challenges. BDA Kamalaker Dadi, Bapi Raju Surampudi
2022	B	`conf`	Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder. IJCNN Pindi Krishna Chandra Prasad, Yash Khare, Kamalaker Dadi, P. K. Vinod, Bapi Raju Surampudi
2022	—	`conf`	Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? NAACL-HLT Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi
2022	J	`jnl`	Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? CoRR Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi
2019	—	`conf`	Employing Temporal Properties of Brain Activity for Classifying Autism Using Machine Learning. PReMI (2) Preetam Srikar Dammu, Bapi Raju Surampudi
2018	J	`jnl`	Two swarm intelligence approaches for tuning extreme learning machine. Int. J. Mach. Learn. Cybern. Abobakr Khalil Alshamiri, Alok Singh, Bapi Raju Surampudi
2017	B	`conf`	The art of scaling up : A computational account on action selection in basal ganglia. IJCNN Bhargav Teja Nallapu, Bapi Raju Surampudi, Nicolas P. Rougier
2016	—	`conf`	AAMI Based ECG Heart-Beat Time-Series Clustering Using Unsupervised ELM and Decision Rule. ICIT Jagadeeswara Rao Annam, Bapi Raju Surampudi
2016	J	`jnl`	Artificial bee colony algorithm for clustering: an extreme learning approach. Soft Comput. Abobakr Khalil Alshamiri, Alok Singh, Bapi Raju Surampudi
2016	—	`conf`	Comparative analysis of ELM and No-Prop algorithms. IC3 Abobakr Khalil Alshamiri, Alok Singh, Bapi Raju Surampudi
2016	J	`jnl`	Does the regulation of local excitation-inhibition balance aid in recovery of functional connectivity? A computational account. NeuroImage Anirudh Nihalani Vattikonda, Bapi Raju Surampudi, Arpan Banerjee, Gustavo Deco, Dipanjan Roy
2015	J	`jnl`	A knowledge driven supervised learning approach to identify gene network of differentially up-regulated genes during neuronal senescence in Rattus norvegicus. Biosyst. Pankaj Singh Dholaniya, Soumitra Ghosh, Bapi Raju Surampudi, Anand K. Kondapi
2015	J	`jnl`	An Exploratory Investigation of Functional Network Connectivity of Empathy and Default Mode Networks in a Free-Viewing Task. Brain Connect. Kavita Vemuri, Bapi Raju Surampudi
2014	—	`conf`	A Novel ELM K-Means Algorithm for Clustering. SEMCCO Abobakr Khalil Alshamiri, Bapi Raju Surampudi, Alok Singh
2014	B	`conf`	A survey of distance/similarity measures for categorical data. IJCNN Madhavi Alamuri, Bapi Raju Surampudi, Atul Negi
2014	—	`conf`	Stochastic Leaky Integrator Model for Interval Timing. MIWAI Komala Anamalamudi, Bapi Raju Surampudi, Madhavilatha Maganti

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.