Deep Learning
Medical Image Segmenter
Convolutional neural network model for segmenting white corpuscles nuclei and detecting CT-scan brain hemorrhages.
Associate Professor · CSE | Senior Member IEEE
Loading...
Dr. Chandradeep Bhatt
Educator and researcher in Computer Science & Engineering at Graphic Era Hill University, Dehradun. Specializing in digital image processing, machine learning, deep neural networks, and biomedical image analysis.
Department
CSE, GEHU Dehradun
Qualifications
UGC-NET & GATE
Experience
11+ Years Teaching
Research FocusMedical Vision & Deep Learning
IEEE PositionIEEE SB Faculty Coordinator
Academic RoleDepartment Research Lead
cbhatt@gehu.ac.inORCID: 0000-0002-7128-5862
Digital Image Processing· Deep Learning & Neural Nets· Biomedical Segmentation· Cloud Computing & Virtualization
Teaching & Research
11+ Years
Academic and research guidance in Computer Science & Engineering at GEHU.
Publications & Output
100+ Papers
Published across SCI / Scopus journals, Springer, CRC Press, and IEEE conferences.
Academic Reach
940+ Citations
Google Scholar citations tracking research influence in medical AI and image analysis.
01 — Overview
About & Academic Background
Dr. Chandradeep Bhatt is an Associate Professor in the Department of Computer Science & Engineering at Graphic Era Hill University, Dehradun. He possesses over 11 years of experience in higher education, active research, and academic leadership.
He earned his Ph.D. in Computer Science & Engineering from Graphic Era Hill University (2024), focusing on white blood cell nucleus segmentation and classification using deep neural networks. He qualified for both UGC-NET and GATE in Computer Science.
As Faculty Coordinator of the IEEE Student Branch and CSE Research Coordinator, he actively guides undergraduate and postgraduate students, organizes technical events, and advances high-impact biomedical image processing research.
Educational Qualifications
Ph.D. (CSE) · 2024
Graphic Era Hill Univ.
Deep Learning for Medical Image Analysis
M.Tech (CSE) · 2014
Uttarakhand Tech Univ.
Computer Science & Engineering
B.Tech (CSE) · 2012
HNB Garhwal Univ.
Computer Science & Engineering
Core Highlights
National Eligibility
Qualified UGC-NET and GATE in Computer Science & Engineering.
Research Mentorship
Guided numerous M.Tech theses and final-year B.Tech projects.
Institutional Roles
IEEE SB Faculty Coordinator, GATE Club Lead & Research Coordinator.
Intellectual Property
Authored 100+ research papers and filed multiple Indian patents.
02 — Research & Projects
Research Threads & Core Inquiry
Exploring five key academic research domains spanning biomedical vision, deep learning, and cloud infrastructure.
01 / THREAD
Digital Image Processing
Advanced algorithms for cell boundary detection, microscopic blood smear analysis, noise filtration, and feature extraction.
02 / THREAD
Deep Learning in Medicine
State-of-the-art CNN and LSTM architectures for intracranial hemorrhage segmentation and white corpuscles classification.
03 / THREAD
Cloud Computing & Virtualization
Investigating evolution, multi-tenant resource scheduling, virtual machine migration, and security challenges in cloud infrastructure.
04 / THREAD
Machine Learning & IoT
Predictive modeling for cardiovascular health, blockchain-integrated IoT healthcare systems, and precision agriculture.
05 / THREAD
Applied AI & Analytics
Web scraping systems, supply chain intelligence (SCM 4.0), and machine learning applications in financial analytics.
Featured Research Projects
Computer Vision
Precision Agriculture AI
Automated tomato disease detection and classification model using image processing for precision farming.
Machine Learning
Network Intrusion Detector
Intelligent Intrusion Detection System (IDS) developed using supervised learning for network security.
Web + Analytics
E-Commerce React Platform
Integrating advanced React.js architectures with retail analytics and supply chain intelligence.
03 — Publications
Selected Journal & Conference Work
A curated list of peer-reviewed articles published in SCI/Scopus indexed journals, book chapters, and international IEEE conferences.
2025Scopus
AER-Net: A Deep Attention-Residual Model for Imbalanced Speech Emotion Recognition
SSRG International Journal of Electronics and Communication Engineering
View Paper
2025SCI
Game-changing Intelligence: Unveiling the Societal Impact of Artificial Intelligence in Game Software
Entertainment Computing (Elsevier)
View Paper
2022SCI
Entropy Based Automatic Unsupervised Brain Intracranial Hemorrhage Segmentation Using CT Images
Journal of King Saud University – Computer and Information Sciences
View Paper
2022SCI
Automated White Corpuscles Nucleus Segmentation Using Deep Neural Network from Microscopic Blood Smear
Journal of Intelligent & Fuzzy Systems
View Paper
2020SCI
The State of the Art of Deep Learning Models in Medical Science and Their Challenges
Multimedia Systems
View Paper
2022Book Chapter
Book Chapter: Extensive Study of WBC Segmentation Using Traditional and Deep Learning Methods
Application of Deep Learning Methods in Healthcare and Medical Science (AAP / CRC Press)
View Paper
2023IEEE Conference
Computer Aided Breast Lesions Classification System Using Digitized Fine Needle Aspirate Images
IEEE OTCON 2023
View Paper
2023IEEE Conference
Machine Learning Techniques for Hate Speech Detection on Social Media
IEEE CISCT 2023
View Paper
2023IEEE Conference
Deep Fusion: A CNN-LSTM Image Caption Generator for Enhanced Visual Understanding
IEEE CISCT 2023
View Paper
2023IEEE Conference
Artificial Intelligence in Current Education: Roles, Applications & Challenges
IEEE ICPCSN 2023
View Paper
2023IEEE Conference
Web Scraping: Huge Data Collection from Web
IEEE ICSEIET 2023
View Paper
2023IEEE Conference
Design and Implement Multiple Disease Prediction System
IEEE WCONF 2023
View Paper
2022IEEE Conference
Music Player Based on Emotion Detection Using CNN
IEEE NKCon 2022
View Paper
04 — Patents & Innovation
Patents & Intellectual Property
Filed and published Indian patents advancing AI, healthcare diagnostics, and smart infrastructure.
Featured Applications (2025 — 2026)
A System and Method for Stock Price Forecasting Using Hybrid Deterministic-Stochastic Modeling
App No. 202511132245 · Published 2026
A System and Method for Adaptive Multi-Agent Traffic Signal Control
App No. 202511132246 · Published 2026
A System and Method for Tuberculosis Diagnosis in Low-Resource Healthcare Settings
App No. 202511132248 · Published 2026
A System and Method for Blockchain-Integrated AI-Based Energy Optimization in Smart Classrooms
App No. 202511132249 · Published 2026
Published Patents (2022 — 2023)
Development of Android Applications to Digitalize Education
App No. 202311069341 · 2023
A Method for Predicting Landslides Using IoT
App No. 202311029134 · 2023
IoT Based Smart Ground Water Recharge
App No. 202311029002 · 2023
A System & Method for Predicting Cardiac Abnormalities by the Help of AI, ML & DL
App No. 202211075269 · 2022
05 — Conferences & Books
Conference Presentations & Volumes
Conference Presentations
ISCS 2024
Intelligent Systems for Cybersecurity · IEEE 2024
ICCC 2024
Communication, Computer Sciences and Engineering · 2024
ICIIT 2024
Intelligent and Innovative Technologies in Computing · 2024
ICSEII 2023
Sustainable Emerging Innovations in Engineering · 2023
ICSCDP 2023
Sustainable Computing and Data Processing · 2023
ICISCT 2023
Information Systems and Computer Technology · 2023
Co-Edited Books & Volumes
Automation and Computation
CRC Press · Taylor & Francis (2023)
Research Keywords
Digital Image ProcessingMachine LearningDeep LearningMedical Image SegmentationCloud ComputingComputer VisionIoT HealthcareWeb ScrapingSupply Chain Intelligence
06 — Academic Leadership
Experience & Teaching Roles
11 years of progressive academic leadership, thesis supervision, and classroom teaching.
2026 — Present
Associate Professor · CSE
Graphic Era Hill University, Dehradun
Teaching UG & PG courses, serving as Faculty Coordinator of IEEE Student Branch, CSE Gate Coordinator, and Research Coordinator.
2019 — 2026
Assistant Professor · CSE
Graphic Era Hill University, Dehradun
Taught core subjects, guided research projects, and completed Ph.D. dissertation focused on deep learning-based WBC segmentation.
2015 — 2019
Assistant Professor · CSE
ITM Dehradun
Delivered CSE lectures, mentored undergraduate final year software projects, and assisted in academic planning.
Core Courses Taught
Artificial IntelligenceDatabase Management SystemsTheory of ComputationCompiler DesignDigital Image ProcessingMachine LearningData Structures & Algorithms
05 — Gallery & Academic Moments
Archive & Moments.
SCROLL DOWN TO DRIFT
0%
It doesn't matter where you start, it's how you progress from there.
Dr. Chandradeep Bhatt
Empowering minds through research & innovation.
technIEEEks, 2025
technIEEEks, 2025
technIEEEks, 2025
technIEEEks, 2025
Saarthi, 2025
Saarthi, 2025
TechnIEEEks Phase 1, 2025
Saarthi, 2025
Saarthi, 2025
05 / SCATTERED GALLERYPHOTOGRAPHIC ARCHIVE · GEHU DEHRADUN
07 — Student Guidance
Student Projects & Thesis Guidance
Supervising B.Tech projects, M.Tech theses, and internships across Machine Learning, Image Processing, and Cloud Systems.
Medical Image Segmenter 2.0
Advanced convolutional networks for white blood cell and brain intracranial hemorrhage detection.
Precision Agriculture Classifier
Mobile or web application for automated crop leaf disease diagnosis from uploads.
Intelligent Intrusion System
Developing supervised classifiers to identify anomalies in cloud database networks.
Supply Chain Intelligence
Applying predictive models to retail and supply chain datasets for optimization.
React Retail Dashboard
Developing advanced E-commerce dashboards integrating user behavior tracking and data analytics.
08 — Contact
Contact & Collaborations
Open to research collaborations, thesis supervision, invited talks, and industry projects.
Phone Contact
+91 96340 74436
Office Hours: Mon - Fri (10:00 - 17:00 IST)
Department Office
Dept. of Computer Science & Engineering,
Graphic Era Hill University, Clement Town,
Dehradun, Uttarakhand – 248002, India
Graphic Era Hill University, Clement Town,
Dehradun, Uttarakhand – 248002, India
Google Scholar
View Scholar Profile ORCID Identification
0000-0002-7128-5862
Engagement Scope
Collaborations · Thesis Supervision · Keynote Speeches · Industry AI Projects