Computer Science & Engineering • Educator • ResearcherDehradun · India · Est. 2012

Dr. Chandradeep
Bhatt.

Associate Professor in Computer Science & Engineering at Graphic Era Hill University, Dehradun. Researching digital image processing, machine learning, deep learning and intelligent computer vision systems.

RoleAssociate Professor · CSE

IEEESenior Member

ORCID0000-0002-7128-5862

CredentialsUGC-NET & GATE Qualified

Digital Image Processing·Machine Learning·Deep Learning·Medical Image Segmentation·Computer Vision·Cloud Computing·Digital Image Processing·Machine Learning·

01 — About

An academician
building intelligent
systems.

I work at the intersection of digital image processing, machine learning and deep learning — specializing in biomedical image analysis and deep neural architectures for white blood cell nucleus segmentation.

Ph.D. in Computer Science & Engineering from Graphic Era Hill University (2024). M.Tech (CSE) from Uttarakhand Technical University (2014) and B.Tech from HNB Garhwal University (2012).

Qualifications

UGC-NET & GATE Qualified

Experience

11 Years Teaching & Research

Roles

IEEE & Research Coordinator

Focus

Medical Image Analysis & AI

Years

Academic & research experience in Computer Science at GEHU

100+

Publications

SCI / Scopus journals, book chapters & conferences

940+

Citations

Google Scholar citations tracking research impact

02 — Research & Work

Five. threads
of inquiry.

Digital Image Processing

Advanced algorithms for cell boundary detection, microscopic blood smear analysis, and feature extraction.

Deep Learning in Medicine

State-of-the-art neural network architectures for intracranial hemorrhage segmentation and white corpuscles classification.

III

Cloud Computing & Virtualization

Investigating the evolution, security challenges, and multi-tenant resource scheduling in modern cloud infrastructures.

Machine Learning & IoT

Predictive modeling for cardiovascular health, blockchain-integrated IoT healthcare systems, and precision agriculture.

Applied AI & Analytics

Web scraping systems, supply chain intelligence (SCM 4.0), and machine learning applications in financial analytics.

Showcase projects

Deep Learning→

Medical Image Segmenter

Convolutional neural network model for segmenting white corpuscles nuclei and detecting CT-scan brain hemorrhages.

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 work.

2025
AER-Net: A Deep Attention-Residual Model for Imbalanced Speech Emotion Recognition
SSRG International Journal of Electronics and Communication Engineering
Scopus
2025
Game-changing Intelligence: Unveiling the Societal Impact of Artificial Intelligence in Game Software
Entertainment Computing (Elsevier)
SCI
2022
Entropy Based Automatic Unsupervised Brain Intracranial Hemorrhage Segmentation Using CT Images
Journal of King Saud University – Computer and Information Sciences
SCI
2022
Automated White Corpuscles Nucleus Segmentation Using Deep Neural Network from Microscopic Blood Smear
Journal of Intelligent & Fuzzy Systems
SCI
2020
The State of the Art of Deep Learning Models in Medical Science and Their Challenges
Multimedia Systems
SCI
2022
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)
Book Chapter
2023
Computer Aided Breast Lesions Classification System Using Digitized Fine Needle Aspirate Images
IEEE OTCON 2023
IEEE Conference
2023
Machine Learning Techniques for Hate Speech Detection on Social Media
IEEE CISCT 2023
IEEE Conference
2023
Deep Fusion: A CNN-LSTM Image Caption Generator for Enhanced Visual Understanding
IEEE CISCT 2023
IEEE Conference
2023
Artificial Intelligence in Current Education: Roles, Applications & Challenges
IEEE ICPCSN 2023
IEEE Conference
2023
Web Scraping: Huge Data Collection from Web
IEEE ICSEIET 2023
IEEE Conference
2023
Design and Implement Multiple Disease Prediction System
IEEE WCONF 2023
IEEE Conference
2022
Music Player Based on Emotion Detection Using CNN
IEEE NKCon 2022
IEEE Conference

For the complete and latest list, please refer to my Google Scholar profile.

04 — Patents & Innovation

Granted.
Published.
Pending.

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 (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 & Editorial

Conference presentations

ISCS 2024
International Conference on Intelligent Systems for Cybersecurity · IEEE · 2024
ICCC 2024
International Conference on Communication, Computer Sciences and Engineering · 2024
ICIIT 2024
International Conference on Intelligent and Innovative Technologies in Computing · 2024
ICSEII 2023
International Conference on Sustainable Emerging Innovations in Engineering & Technology · 2023
ICSCDP 2023
International Conference on Sustainable Computing and Data Processing · 2023
ICISCT 2023
International Conference on Information Systems and Computer Technology · 2023

Co-edited volume

Automation and Computation
CRC Press · Taylor & Francis · 2023

Keywords

Digital Image ProcessingMachine LearningDeep LearningMedical Image SegmentationCloud ComputingComputer VisionIoT HealthcareWeb ScrapingSupply Chain Intelligence

06 — Experience & Teaching

Eleven
years in the
classroom.

2024 — Present

Associate Professor · CSE

Graphic Era Hill University, Dehradun

Teaching UG & PG courses, serving as Faculty Coordinator of the IEEE Student Branch, CSE Gate Coordinator, and Department Research Coordinator while supervising theses.

2019 — 2024

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

Institute of Technology and Management (ITM), Dehradun

Delivered CSE lectures, mentored undergraduate final year software projects, and assisted in academic planning.

Courses taught

Artificial IntelligenceDatabase Management SystemsTheory of ComputationCompiler DesignDigital Image ProcessingMachine LearningData Structures & Algorithms

07 — For Students

Come
work
with me.

I supervise minor / major projects, theses and internships across Digital Image Processing, Machine Learning, Deep Learning, and Cloud Computing. Reach out with your programme, semester, and a rough idea — even if it isn't fully formed.

Medical Image Segmenter 2.0

Advanced convolutional networks for white blood cell and brain intracranial hemorrhage detection.

Precision Agriculture Disease Classifier

Mobile or web application for automated crop leaf disease diagnosis from uploads.

Intelligent Intrusion Detection System

Developing supervised classifiers to identify anomalies in cloud database networks.

Supply Chain Intelligence Platform

Applying predictive models to retail and supply chain datasets for optimization.

React JS Retail Analytics Dashboard

Developing advanced E-commerce dashboards integrating user behavior tracking and data analytics.

08 — Contact

Let's
collaborate.

cbhatt@gehu.ac.in bhattchandradeep@gmail.com

Phone

+91 96340 74436

Address

Department of Computer Science & Engineering,
Graphic Era Hill University,
Bell Road, Clement Town,
Dehradun, Uttarakhand – 248002, India

Google Scholar

View profile →

ORCID

0000-0002-7128-5862

Open to

Collaborations · Thesis supervision · Invited talks · Industry projects

An academicianbuilding intelligentsystems.

Five. threadsof inquiry.

Digital Image Processing

Deep Learning in Medicine

Cloud Computing & Virtualization

Machine Learning & IoT

Applied AI & Analytics

Medical Image Segmenter

Precision Agriculture AI

Network Intrusion Detector

E-Commerce React Platform

Selectedjournal work.

AER-Net: A Deep Attention-Residual Model for Imbalanced Speech Emotion Recognition

Game-changing Intelligence: Unveiling the Societal Impact of Artificial Intelligence in Game Software

Entropy Based Automatic Unsupervised Brain Intracranial Hemorrhage Segmentation Using CT Images

Automated White Corpuscles Nucleus Segmentation Using Deep Neural Network from Microscopic Blood Smear

The State of the Art of Deep Learning Models in Medical Science and Their Challenges

Book Chapter: Extensive Study of WBC Segmentation Using Traditional and Deep Learning Methods

Computer Aided Breast Lesions Classification System Using Digitized Fine Needle Aspirate Images

Machine Learning Techniques for Hate Speech Detection on Social Media

Deep Fusion: A CNN-LSTM Image Caption Generator for Enhanced Visual Understanding

Artificial Intelligence in Current Education: Roles, Applications & Challenges

Web Scraping: Huge Data Collection from Web

Design and Implement Multiple Disease Prediction System

Music Player Based on Emotion Detection Using CNN

Granted.Published.Pending.