class Devakumar:
"""
AI Researcher | Scopus Author | Full Stack Developer
Rajiv Gandhi College of Engineering & Technology, Puducherry
"""
def __init__(self):
self.name = "Devakumar A"
self.location = "Puducherry, India"
self.degree = "B.Tech — Computer Science Engineering @ RGCET"
self.roles = ["AI Researcher", "Scopus Indexed Author", "Full Stack Developer"]
self.leadership = "President — Mathoria Mathematics Club"
self.research_focus = [
"Brain-Computer Interfaces (BCI)",
"EEG Signal Processing",
"Healthcare Artificial Intelligence",
"Emotion & Pain Recognition via Deep Learning",
]
self.certifications = {
"IIT Ropar — Deep Learning" : "Gold + Elite | Top Rank",
"NPTEL — Python for Data Sci." : "Silver + Elite",
}
self.tech_stack = {
"AI / ML" : ["TensorFlow", "Scikit-learn", "NumPy", "Pandas"],
"Languages" : ["Python", "Java", "C", "JavaScript"],
"Frontend" : ["React", "HTML5", "CSS3"],
"Backend" : ["Firebase", "MySQL", MongoDB],
}
self.publications = "Scopus Indexed — growing research portfolio"
self.superpower = "Turning cutting-edge research into real-world impact"
def current_mission(self) -> str:
return "Building AI systems that give voice to the voiceless"
def fun_fact(self) -> str:
return "I decode brainwaves so paralyzed patients can speak again"
me = Devakumar()
print(me.current_mission())
# ─────────────────────────────────────────────────────────────
# OUTPUT ► Building AI systems that give voice to the voiceless
# ─────────────────────────────────────────────────────────────|
Deep Learning
|
Python for Data Science
|
Research Publication
|
Mathematics Club
|
Building a multi-paper research portfolio in AI, Deep Learning, EEG Signal Processing and Healthcare Technologies. Each publication targets Scopus / Web of Science / Google Scholar indexing.
| Field | Details |
|---|---|
| Title | Deep Learning-Based EEG Communication Aid for Paralyzed Patients |
| Author | Devakumar A — RGCET, Puducherry |
| Index | Scopus Indexed Journal |
| Status | Published |
Research Domains & Contributions
| Domain | Contribution |
|---|---|
| Brain-Computer Interface | Novel real-time communication framework for paralyzed patients |
| EEG Signal Processing | Multi-channel brainwave feature extraction pipeline |
| Deep Learning | Multi-task classification architecture |
| Emotion Detection | Automated emotion state recognition from EEG |
| Pain Severity Monitoring | Quantitative pain-level estimation system |
| Healthcare AI | End-to-end assistive AI technology |
EEG | BCI | Deep Learning | Emotion Recognition | Pain Assessment | Healthcare AI
| Research Area | Status |
|---|---|
| Advanced EEG-based Emotion Classification | IN PROGRESS |
| Multi-modal BCI for Rehabilitation | PLANNED |
| Federated Learning for Healthcare AI | PLANNED |
| Real-time Pain Detection using Wearables | PLANNED |
|
[ 01 ] Emotion Recognition via EEG AI-powered BCI system that decodes human emotions directly from raw brainwave signals — the core engine of my Scopus publication.
|
[ 02 ] Stock Price Prediction Engine ML forecasting system that predicts market trends using LSTM neural networks and advanced time-series analysis.
|
|
[ 03 ] Automated Library Management System Full-stack platform for managing educational resources with real-time tracking and smart cataloguing.
|
[ 04 ] Mathoria Club Official Website Interactive mathematics club platform with event management, leaderboards and member engagement portal.
|
LANGUAGES
FRONTEND
BACKEND & DATABASE
AI & MACHINE LEARNING
| Target | Status |
|---|---|
| Publish 2nd Research Paper — Scopus / WoS | IN PROGRESS |
| Build Real-Time EEG Emotion Detection App | IN PROGRESS |
| Launch Personal Portfolio Website | PLANNED |
| Open Source AI for Healthcare | PLANNED |
| Create Google Scholar Author Profile | PLANNED |
| National Hackathon — Top 3 Finish | PLANNED |
Open to Research Collaborations · Internships · AI/ML Projects · Paper Co-authorship
"I don't just study AI — I use it to give voice to those who've lost theirs."
— Devakumar A
Research. Build. Innovate. Impact.
