| Electronics & Communication Engineering Student | AI, Robotics, IoT & Space Communication Enthusiast | Central University of Karnataka | 2+ years experience
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About Progyadipta Naskar
I’m Progyadipta Naskar, an Electronics and Communication Engineering student passionate about AI/ML, robotics, embedded systems, IoT, antenna design, and space communication technologies.
I have worked on projects involving microstrip patch antennas, inter-satellite laser communication, AI-based healthcare systems, robotic automation, cybersecurity, and local LLM-based AI assistants. I have also gained experience through internships and opportunities with IIT Kanpur, IEEE EMBS Pune, CDAC Noida, and IEEE initiatives.
Along with research and project development, I enjoy teaching and mentoring students in AI, robotics, electronics, and IoT. My long-term interest lies in contributing to antenna research, RF systems, and space communication technologies.
Areas of Expertise
AI/ML and deep learning Robotics and embedded systems IoT and smart electronics Antenna design and RF systems Space communication technologies Cybersecurity and penetration testing Python, C/C++, Arduino, ESP32 Technical training in AI, robotics, electronics, and IoT
, Electronics & Communication Engineering Student | AI, Robotics, IoT & Space Communication Enthusiast
Python, C/C++, Arduino, ESP32, IoT, Robotics, Embedded Systems, AI/ML, Deep Learning, NLP, Ansys HFSS, CST Studio Suite, KiCad, COMSOL, Wireshark, Metasploit, Burp Suite
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Experience & Education
2023 – 2027
B.Tech Student – Electronics & Communication Engineering AI, Robotics, IoT & Space Communication Research Enthusiast
Central University of Karnataka
GPA: 7.8/10 Focus areas: Electronics, Communication Systems, Embedded Systems, IoT, AI/ML, RF & Antenna Design Designed and fabricated a Microstrip Patch Antenna Developed projects in robotics, AI assistants, laser communication, cybersecurity, and EEG-based seizure detection Selected for IEEE MAPCON 2025 B.Tech Student Initiative IEEE SPACE 2026 Ambassador Published research on AI-based epileptic seizure detection using EEG signals
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Learn Today. Lead Tomorrow.
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