IIIT Hyderabad Partnership

Advancing AI research and technology innovation in healthcare

IIIT

IIIT Hyderabad

International Institute of Information Technology

Our strategic partnership with IIIT Hyderabad combines world-class computer science research with healthcare innovation, focusing on advanced AI, computer vision, natural language processing, and human-computer interaction for medical applications.

Computer Vision

Advanced medical imaging analysis, radiology AI, and automated diagnostic systems using deep learning.

Natural Language Processing

Clinical text mining, voice-to-text systems, and multilingual healthcare documentation processing.

Human-Computer Interaction

User experience design for medical systems, accessibility solutions, and clinician workflow optimization.

Research Excellence

Top-Tier Research Rankings

Ranked #1 in India for Computer Science research output and impact

World-Class Faculty

Leading experts in AI, ML, and computational healthcare

Advanced Infrastructure

State-of-the-art computing facilities and research labs

Student Innovation

Exceptional graduate students driving breakthrough research

Partnership Metrics

35+
Faculty Researchers
120+
Graduate Students
45
Research Papers
$3.2M
Research Funding

Active Research Projects

Medical Image Analysis Platform

Advanced deep learning models for automated analysis of medical images including X-rays, CT scans, and MRIs, with focus on early disease detection and diagnostic accuracy.

Status:Clinical Validation

Multilingual Clinical NLP

Natural language processing systems for Indian languages in healthcare, enabling voice-to-text documentation and clinical decision support in regional languages.

Status:Prototype Development

Edge AI for Rural Healthcare

Lightweight AI models optimized for deployment on mobile devices and low-resource settings, bringing advanced diagnostics to underserved rural communities.

Status:Field Testing

Adaptive User Interfaces

Intelligent user interface systems that adapt to clinician preferences and workflows, improving efficiency and reducing cognitive load in clinical environments.

Status:User Studies

Faculty Research Leaders

AK

Prof. Anoop Kumar

Director, Machine Learning Lab

Leading research in deep learning for medical imaging and automated diagnosis systems.

150+ Publications
H-index: 45
PS

Dr. Priya Sharma

Head, NLP Research Group

Expert in clinical text mining and multilingual NLP for healthcare applications.

85+ Publications
H-index: 32
RG

Prof. Ravi Gupta

Chair, HCI Department

Specializing in healthcare user experience and accessibility in medical systems.

120+ Publications
H-index: 38

Specialized Labs

AI for Healthcare Lab

Dedicated facility for medical AI research with clinical partnerships

Computer Vision Lab

Advanced imaging systems and GPU clusters for medical image analysis

Language Technologies Lab

Multilingual NLP research with healthcare domain expertise

Recent Achievements

"Deep Learning for Automated Retinal Disease Detection"

IEEE Transactions on Medical Imaging, 2024

Best Paper Award67 citations

"Edge AI Framework for Rural Healthcare Diagnostics"

ACM CHI Conference, 2024

Outstanding Paper32 citations

"Multilingual Medical Text Analysis for Indian Languages"

Nature Digital Medicine, 2024

Editor's Choice45 citations

Student Innovation Programs

PhD Fellowship Program

Full scholarships for exceptional students pursuing healthcare AI research

25 Active Fellows

Innovation Challenges

Annual hackathons focused on solving real-world healthcare problems

500+ Participants

Industry Internships

Hands-on experience with SynThera's development teams and healthcare partners

95% Placement Rate

Partnership Roadmap

Quantum Healthcare AI

Exploring quantum computing applications for complex medical modeling

Global Health Network

Expanding research to address healthcare challenges across developing nations

Next-Gen Training

Advanced educational programs for healthcare AI professionals