Dr. Deepak Painuli
Head of CSE Department | Researcher | Educator
Passionate about teaching, research, and development in Computer Science and Engineering with expertise in AI, ML, and Medical Diagnosis
About Me
I am the Head of the Computer Science and Engineering Department at COER University with a Ph.D. in Computer Science and extensive experience in teaching and research. My expertise lies in Artificial Intelligence, Machine Learning, and Medical Diagnosis applications.
Teaching Philosophy
I believe in creating an interactive learning environment that fosters critical thinking and practical application of concepts. My approach combines theoretical knowledge with hands-on experience to prepare students for real-world challenges in technology.
Research Interests
My research focuses on AI applications in medical diagnosis, machine learning algorithms for disease prediction, and deep learning techniques. I'm particularly interested in how technology can enhance healthcare and education systems.
DCODERS Community
Founded by Dr. Deepak Painuli, DCODERS is a vibrant community of students and learners from computing streams dedicated to skill upliftment and knowledge sharing through collaborative coding and development.
Web Development
App Development
Graphic Designing
Research & Development
Competitive Coding
Machine Learning
Professional Experience
Head of CSE Department
May 2024 - Present
COER University, Roorkee
Leading the Computer Science and Engineering department, overseeing curriculum development, faculty management, and research initiatives. Spearheading the DCODERS community to foster student innovation.
Assistant Professor
October 2020 - May 2024
Gurukula Kangri Vishwavidyalaya
Taught undergraduate and graduate courses in Computer Science. Led research projects and mentored students in AI and ML applications. Published multiple research papers in reputed journals.
Assistant Professor
July 2011 - August 2020
Quantum University
Delivered lectures on Data Structures, Operating Systems, and Computer Networks. Supervised student projects and research work. Received "Best Faculty" award in 2016 for teaching excellence.
RF Planner
August 2006 - June 2011
Metrotel Wireless Pvt Ltd
Worked on wireless network planning and optimization, gaining practical experience in telecommunications technology. Developed strong problem-solving and technical skills in real-world applications.
Education
Ph.D. in Computer Science
October 2020 - September 2024
Gurukula Kangri Vishwavidyalaya
Specialized in Machine Learning applications for medical diagnosis and healthcare systems.
Master of Technology (M.Tech)
2011 - 2013
Karnataka State University
Information Technology with focus on advanced computing systems and network architectures.
Bachelor of Technology (B.Tech)
2002 - 2006
APJ Abdul Kalam Technological University
Information Technology with honors in software development and system design.
Technical Skills
Artificial Intelligence
Machine Learning
Python Programming
Computer Networks
Data Structures
Operating Systems
Publications & Research
"Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson's Disease Diagnosis via Machine Learning Techniques"
This paper explores novel methods for Parkinson's disease diagnosis using machine learning techniques applied to speech signals, achieving 92% accuracy in early detection.
"Forecast and prediction of COVID-19 using machine learning"
Research on applying machine learning models to predict COVID-19 spread and outcomes with time-series analysis and epidemiological data.
"Rule Based Expert System for Medical Diagnosis-A Review"
Comprehensive review of rule-based expert systems in medical diagnosis applications, comparing traditional and AI-enhanced approaches.
"Machine learning based study on aphid infestation in agriculture crop at Uttarakhand"
Application of machine learning techniques to predict and manage aphid infestations in regional crops, helping farmers optimize pesticide use.
"Optimized Diagnosis of Central Nervous System (CNS) Cancer using Gene Expression Microarray & Machine Learning (ML) Methods"
Research on improving CNS cancer diagnosis through machine learning analysis of gene expression data, reducing false positives by 30%.
Certifications & Awards
Certifications
Python 3 Certification
Certified Python Programmer with expertise in Python 3.x and advanced programming concepts.
IBM Certified Associate Developer
Certification in software development practices and methodologies from IBM.
Machine Learning: Clustering & Retrieval
Specialization in machine learning clustering techniques from a leading online platform.
Convolutional Neural Network in TensorFlow
Expertise in CNN implementation using TensorFlow framework for deep learning applications.
Machine Learning: Classification
Specialization in classification algorithms and techniques for predictive modeling.
Awards & Honors
Best Faculty - CSE Department
Awarded for excellence in teaching and student mentorship in the Computer Science and Engineering department at Quantum University.
Patents
AI based Smart Goggles for Construction Labours
Innovative smart goggles using AI to enhance safety and productivity for construction workers through real-time hazard detection and augmented reality interfaces.
Soft Fairness Based Scheduling Mechanism Using Machine Learning for Cloud Computing
Novel scheduling algorithm for cloud computing environments using machine learning techniques to optimize resource allocation while maintaining fairness.
Robust Outlier Detection in Noisy Data Classification System Under Abundant Mislabeled Training Instances Using SVM LIE Group Machine Learning Model For Brain Images
Advanced machine learning model for outlier detection in medical brain image classification, improving diagnostic accuracy in noisy datasets.
Get In Touch
Contact Information
- deepak.painuli@gmail.com
- +91 9917815501
- Head of CSE Department, COER University, Roorkee
- Office Hours: Mon-Fri 10am-4pm
Connect With Me
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