Rakesh Chandra Joshi

34 papers Journal 22Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RGTFormer: Predicting mutation-associated multi-drug resistance in Mycobacterium tuberculosis using a categorical gated transformer and relational graph convolutional network. Comput. Biol. Chem. Rakesh Chandra Joshi, Hitesh Reddy Dereddy, Sandip Mukhopadhyay, Radim Burget, Malay Kishore Dutta
2026	J	`jnl`	SpineDeep-Net: Dual-Self-Attention-Based Deep Neural Network for Automating Slice Selection and Precise Transverse Plane Localization in Lumbar Spine MRI for Intervertebral Disc Analysis. Int. J. Imaging Syst. Technol. Rashmi Singh, Rakesh Chandra Joshi, Suzain Rashid, Radim Burget, Malay Kishore Dutta
2025	—	`conf`	A Multi-Head Attention and Residual Dense Network with Dynamic Sampling for Fine-Grained Network Intrusion Classification. ICUMT Neha Shukla, Rakesh Chandra Joshi, Radim Burget, Martin Rosa, Malay Kishore Dutta
2025	J	`jnl`	AgriDeep-net: An advanced deep feature fusion-based technique for enhanced fine-grain image analytics in precision agriculture. Ecol. Informatics Rakesh Chandra Joshi, Radim Burget, Malay Kishore Dutta
2025	—	`conf`	Multi-Domain Information-Theoretic Features and Kolmogorov Complexity for Lightweight Image Splicing Detection. ICUMT Naman Tyagi, Rakesh Chandra Joshi, Srishti Das, Kunal, Vojtech Schiller, Stepan Jezek, Malay Kishore Dutta
2025	J	`jnl`	Q-FSRU: Quantum-Augmented Frequency-Spectral For Medical Visual Question Answering. CoRR Rakesh Thakur, Yusra Tariq, Rakesh Chandra Joshi
2025	—	`conf`	Reinforcement Learning for Mathematical Reasoning in Small-Scale Language Models with Structured Policy Optimization. ICUMT Naman Tyagi, Rakesh Chandra Joshi, Srishti Das, Pavel Sikora, Vojtech Myska, Malay Kishore Dutta
2025	—	`conf`	Self-Attention U-Net with Residual Bottleneck for High-Quality CT to MRI Image Translation. ICUMT Devansh Pandey, Rakesh Chandra Joshi, Anzhelika Mezina, Radim Burget, Malay Kishore Dutta
2025	J	`jnl`	Self-attention-guided residual deep neural network with multi-scale dilated feature extraction for automated gallbladder disease diagnosis in ultrasound imaging. Comput. Methods Programs Biomed. Suzain Rashid, Chandan J. Das, Anshika Chauhan, Garima Aggarwal, Rakesh Chandra Joshi, Radim Burget, Malay Kishore Dutta
2024	J	`jnl`	AI-SenseVision: A Low-Cost Artificial-Intelligence-Based Robust and Real-Time Assistance for Visually Impaired People. IEEE Trans. Hum. Mach. Syst. Rakesh Chandra Joshi, Nitin Singh, Anuj Kumar Sharma, Radim Burget, Malay Kishore Dutta
2024	J	`jnl`	Biomarker profiling and integrating heterogeneous models for enhanced multi-grade breast cancer prognostication. Comput. Methods Programs Biomed. Rakesh Chandra Joshi, Pallavi Srivastava, Rashmi Mishra, Radim Burget, Malay Kishore Dutta
2024	J	`jnl`	MacD-Net: An automatic guided-ensemble approach for macular pathology detection using optical coherence tomography images. Int. J. Imaging Syst. Technol. Ritesh Maurya, Nageshwar Nath Pandey, Rakesh Chandra Joshi, Malay Kishore Dutta
2024	J	`jnl`	VisionDeep-AI: Deep learning-based retinal blood vessels segmentation and multi-class classification framework for eye diagnosis. Biomed. Signal Process. Control. Rakesh Chandra Joshi, Anuj Kumar Sharma, Malay Kishore Dutta
2023	—	`conf`	AI-Enhanced Mental Health Diagnosis: Leveraging Transformers for Early Detection of Depression Tendency in Textual Data. ICUMT Srishti Verma, Vishal, Rakesh Chandra Joshi, Malay Kishore Dutta, Stepan Jezek, Radim Burget
2023	J	`jnl`	EyeDeep-Net: a multi-class diagnosis of retinal diseases using deep neural network. Neural Comput. Appl. Neha Sengar, Rakesh Chandra Joshi, Malay Kishore Dutta, Radim Burget
2022	J	`jnl`	AI-CardioCare: Artificial Intelligence Based Device for Cardiac Health Monitoring. IEEE Trans. Hum. Mach. Syst. Rakesh Chandra Joshi, Juwairiya Siraj Khan, Vinay Kumar Pathak, Malay Kishore Dutta
2022	J	`jnl`	An efficient deep neural network based abnormality detection and multi-class breast tumor classification. Multim. Tools Appl. Rakesh Chandra Joshi, Divyanshu Singh, Vaibhav Tiwari, Malay Kishore Dutta
2022	J	`jnl`	Computer vision technique for freshness estimation from segmented eye of fish image. Ecol. Informatics Anamika Banwari, Rakesh Chandra Joshi, Namita Sengar, Malay Kishore Dutta
2022	—	`conf`	Deep Learning-based Classification of Viruses Using Transmission Electron Microscopy Images. TSP Mohd Mohsin Ali, Rakesh Chandra Joshi, Malay Kishore Dutta, Radim Burget, Anzhelika Mezina
2022	J	`jnl`	Deep neural network for multi-class classification of medicinal plant leaves. Expert Syst. J. Knowl. Eng. Vaibhav Tiwari, Rakesh Chandra Joshi, Malay Kishore Dutta
2022	—	`conf`	Osteo-Net: A Robust Deep Learning-Based Diagnosis of Osteoporosis Using X-ray images. TSP Arnav Kumar, Rakesh Chandra Joshi, Malay Kishore Dutta, Radim Burget, Vojtech Myska
2021	—	`conf`	An Efficient Artificial Intelligence-based approach for Diagnosis of Media Haze Disease. ICCCNT Neha Sengar, Rakesh Chandra Joshi, Malay Kishore Dutta
2021	J	`jnl`	An efficient oil content estimation technique using microscopic microalgae images. Ecol. Informatics Rakesh Chandra Joshi, Saumya Dhup, Nutan Kaushik, Malay Kishore Dutta
2021	J	`jnl`	Cytokine gene variants and socio-demographic characteristics as predictors of cervical cancer: A machine learning approach. Comput. Biol. Medicine Manoj Kaushik, Rakesh Chandra Joshi, Atar Singh Kushwah, Maneesh Kumar Gupta, Monisha Banerjee, Radim Burget, Malay Kishore Dutta
2021	J	`jnl`	Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images. Ecol. Informatics Vaibhav Tiwari, Rakesh Chandra Joshi, Malay Kishore Dutta
2021	J	`jnl`	Ensemble based machine learning approach for prediction of glioma and multi-grade classification. Comput. Biol. Medicine Rakesh Chandra Joshi, Rashmi Mishra, Puneet Gandhi, Vinay Kumar Pathak, Radim Burget, Malay Kishore Dutta
2021	—	`conf`	Fruit-CNN: An Efficient Deep learning-based Fruit Classification and Quality Assessment for Precision Agriculture. ICUMT Arnav Kumar, Rakesh Chandra Joshi, Malay Kishore Dutta, Martin Jonak, Radim Burget
2021	J	`jnl`	Modeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI). Remote. Sens. Rakesh Chandra Joshi, Dongryeol Ryu, Gary J. Sheridan, Patrick N. J. Lane
2021	J	`jnl`	VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Ecol. Informatics Rakesh Chandra Joshi, Manoj Kaushik, Malay Kishore Dutta, Ashish Srivastava, Nandlal Choudhary
2020	—	`conf`	Efficient Convolutional Neural Network Based Optic Disc Analysis Using Digital Fundus Images. TSP Rakesh Chandra Joshi, Malay Kishore Dutta, Pavel Sikora, Martin Kiac
2020	J	`jnl`	Efficient Multi-Object Detection and Smart Navigation Using Artificial Intelligence for Visually Impaired People. Entropy Rakesh Chandra Joshi, Saumya Yadav, Malay Kishore Dutta, Carlos M. Travieso-González
2020	—	`conf`	Fusion of Object Recognition and Obstacle Detection approach for Assisting Visually Challenged Person. TSP Saumya Yadav, Rakesh Chandra Joshi, Malay Kishore Dutta, Martin Kiac, Pavel Sikora
2019	J	`jnl`	A Low Cost and Computationally Efficient Approach for Occlusion Handling in Video Surveillance Systems. Int. J. Interact. Multim. Artif. Intell. Rakesh Chandra Joshi, Adithya Gaurav Singh, Mayank Joshi, Sanjay Mathur
2018	—	`conf`	A Rectangular-Spiral Metamaterial based wide band Microstrip Antenna with Modified DGS for Wireless Communication. ICIIS Neha Sharma, R. P. S. Gangwar, Rakesh Chandra Joshi

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.