Bala Chakravarthy Neelapu

16 papers Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CAF-DNet: A class aware attention fusion network with multi-scale dilated convolutions for acute lymphoblastic leukemia classification. Expert Syst. Appl. Rushikesh T. Gaikwad, Nalla Maheswararao, Soumyajit Gayen, Deepak Kumar Sahu, Jayaraman Sivaraman, Kunal Pal, Bala Chakravarthy Neelapu
2026	J	`jnl`	SPHE-Match: Semi-supervised Prototype-aware Hierarchical Embedding Matching approach for classifying Sleep Apnea events using single-lead Electrocardiogram. Eng. Appl. Artif. Intell. Soumyajit Gayen, Nalla Maheswara Rao, Deepak Kumar Sahu, Arya Bhardwaj, Pradeep Kumar, Jayaraman Sivaraman, Kunal Pal, Bala Chakravarthy Neelapu
2025	J	`jnl`	Analysis of multimodal fusion strategies in deep learning for ischemic stroke lesion segmentation on computed tomography perfusion data. Multim. Tools Appl. Chintha Sri Pothu Raju, Bala Chakravarthy Neelapu, Rabul Hussain Laskar, Ghulam Muhammad
2025	J	`jnl`	SmartMatch: A semi-supervised framework for obstructive sleep apnea classification using single-lead electrocardiogram signals with limited annotations. Eng. Appl. Artif. Intell. Soumyajit Gayen, Nalla Maheswara Rao, Deepak Kumar Sahu, Jayaraman Sivaraman, Kunal Pal, Srikanth Vasamsetti, Bala Chakravarthy Neelapu
2024	J	`jnl`	Advancing Leukocyte Classification: A Cutting-Edge Deep Learning Approach for AI-Driven Clinical Diagnosis. Int. J. Imaging Syst. Technol. Ahmadsaidulu Shaik, Abhishek Tiwari, Bala Chakravarthy Neelapu, Puneet Kumar Jain, Earu Banoth
2024	—	`conf`	Analyzing the Effect of Coffee Consumption on Visual Pathway Using Visual Evoked Potential (VEP) Signals and Machine Learning Algorithms. CICBA (1) Garima Singhal, Nalla Maheswara Rao, C. S. Amit, Srushti Badge, Jayaraman Sivaraman, Kunal Pal, Bala Chakravarthy Neelapu
2024	J	`jnl`	Atrial lead system for enhanced P-wave recording: A comparative study on optimal leads using gradient boosting and deep learning algorithms. Biomed. Signal Process. Control. N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman
2024	J	`jnl`	Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model. Biomed. Signal Process. Control. N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman
2023	J	`jnl`	Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. Inf. Sci. Kiran Kumar Patro, Allam Jaya Prakash, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, U. Rajendra Acharya, Mohamed Hammad, Özal Yildirim, Pawel Plawiak
2023	—	`conf`	Atrial Features-Based Prediction of Sinus Tachycardia Using LSTM-RNN Model. CinC N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman
2023	J	`jnl`	Constant Q-transform-based deep learning architecture for detection of obstructive sleep apnea. Int. J. Appl. Math. Comput. Sci. Usha Rani Kandukuri, Allam Jaya Prakash, Kiran Kumar Patro, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, Pawel Plawiak
2022	—	`conf`	Exaggerated Amplitude and Peak Location of Ta Wave in Tachycardia as an Indicator for Atrial Disorders. CinC Arya Bhardwaj, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman
2022	—	`conf`	Ischemic Stroke Lesion Segmentation in CT Perfusion Images Using U-Net with Group Convolutions. CVIP (1) Chintha Sri Pothu Raju, Anish Monsley Kirupakaran, Bala Chakravarthy Neelapu, Rabul Hussain Laskar
2022	—	`conf`	Machine Learning-based Classification of Ischemic and Non-Ischemic Exercise Stress Test ECG. CinC Dibya Chowdhury, Bala Chakravarthy Neelapu, Kunal Pal, Jayaraman Sivaraman
2019	J	`jnl`	3D Local Spatio-temporal Ternary Patterns for Moving Object Detection in Complex Scenes. Cogn. Comput. Srikanth Vasamsetti, Neerja Mittal, Bala Chakravarthy Neelapu, Harish Kumar Sardana
2017	J	`jnl`	A pilot study for segmentation of pharyngeal and sino-nasal airway subregions by automatic contour initialization. Int. J. Comput. Assist. Radiol. Surg. Bala Chakravarthy Neelapu, Om Prakash Kharbanda, Viren Sardana, Abhishek Gupta, Srikanth Vasamsetti, Rajiv Balachandran, Shailendra Singh Rana, Harish Kumar Sardana

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.