Papers
2
Total Citations
9
H-Index
2
About
S Abhishek is a researcher at the forefront of human-computer interaction and applied machine learning, with a focus on making technology more intuitive and secure. His work bridges the gap between complex computational systems and natural human behavior. Notably, his highly cited 2023 paper, "CNN Combined with FC Classifier to Combat Artificial Penta-Digit Text-Based Captcha," tackles a critical cybersecurity challenge by employing a deep learning architecture to break text-based CAPTCHAs, an achievement that has garnered 7 citations and highlights the vulnerabilities in widely used web security measures. More recently, his 2025 work, "Teach Pendant at Fingertips: Intuitive Vision-Based Gesture-Driven Control of Dexter ER2 Robotic Arm," addresses a fundamental problem in robotics: the steep learning curve of traditional teach pendants. By developing a vision-based system that interprets natural hand gestures, Abhishek enables operators to control a robotic arm with the same ease as pointing a finger, dramatically reducing training time. This work demonstrates his commitment to democratizing access to advanced robotics, making them accessible to non-experts. Through these contributions, Abhishek is shaping a future where technology adapts to human intuition, not the other way around.
Research Focus
Key Achievements
Top Papers
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