— As an AI Researcher and Flutter Developer, I have a rich background in Computer Science, with a focus on software security, web security, and ML/DL applications. — Holding a combined MS/PhD from Sungkyunkwan University and various nanodegrees in AI and machine learning, I bring expertise in Python and Dart. — My experience spans developing visual technology systems at DeltaX and designing mobile applications at Toptal. — With my history of academic and professional achievements, including open-source contributions and leadership in AI challenges, I excel in driving innovation and technological advancements in diverse environments. Papers: — SingleADV: Single-class Target-specific Attack Against Interpretable Deep Learning Systems (Under Review). — NXGen: Interpretation-guided Query-efficient Black-box Attack against Interpretable Deep Learning (IEEE Transactions on Reliability). — Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses (IEEE Transactions on Dependable and Secure Computing). — AdvEdge: Optimizing Adversarial Perturbations against Interpretable Deep Learning. (International Conference on Computational Data and Social Networks). — Black-box and Target-specific Attack Against Interpretable Deep Learning Systems. (Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security). — Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models. (Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security). — Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware (Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security). — MLxPack: Investigating the Effects of Packers on ML-based Malware Detection Systems Using Static and Dynamic Traits (Proceedings of the 1st Workshop on Cybersecurity and Social Sciences). Open Source Contributions: — TextAttack. Python framework for adversarial attacks, data augmentation, and model training in NLP. — Ivy. Unified framework that supports JAX, TensorFlow, PyTorch, and Numpy. Leadership and Awards: — February 2025 - Speaker at SecureAI (Cybersecurity training in AI) (Loyola University Chicago). — July 2024 - Speaker at SecureAI (Cybersecurity training in AI) (Loyola University Chicago). — May 2022 - AI & Big Data Challenge Winner. — October 2019 - Mentor in “Microsoft Hour of Code”. — July 2019 - Mentor in “Digital Generation Camp”. — March 2019 - Finalist of international competition Microsoft AI Guardians. — September 2015-2019 - Received Inha University scholarships: 6 times. — November 2018 - Took part in Open Data Challenge Hackathon 2018 and took the third place in the nomination of Open Data Generation. — Since September 2018 - Member of the Union of Youth of the Republic of Uzbekistan. — July 2018 - Volunteer for “Touch Math Festival” (held at Inha University once a year).