Objectives
As Artificial Intelligence and Machine Learning revolutionize modern healthcare, academic institutions are poised to play a pivotal role in shaping this transformation through innovative, ethical, and interdisciplinary research. Recognizing this responsibility, KIIT Deemed to be University has launched the Centre of Innovation and Research (COIR) in Medical Technology – a visionary initiative designed to harness the power of emerging technologies to address real-world healthcare challenges.
KIIT’s unique ecosystem – spanning Engineering, Medical Sciences (KIMS), Dental Sciences (KIDS), Basic Sciences, and Law—creates a fertile ground for impactful translational research. This multidisciplinary synergy ensures that technological innovation is not only technically sound but also clinically relevant, ethically responsible, and legally compliant. Through structured access to diverse clinical datasets and robust validation platforms at KIMS & KIDS, the COIR aims to bridge the gap between lab-scale innovation and bedside application.
The centre will focus on priority areas such as AI in diagnostics, medical imaging, IoMT, digital health, and predictive analytics. It will promote team science, foster collaboration across disciplines, and encourage open-data principles and regulatory compliance. With access to rich electronic health records (EHRs), diagnostic imaging, and computational infrastructure, COIR is set to position KIIT deemed to be University as a national hub for AI-driven healthcare excellence and innovation.
We Offer
- Consultancy
- Policy Advocacy
- Internship Programme
- Training & Capacity Building
- Courses (Short term/long term)
Labs and Facilities
A dedicated lab is equipped with geospatial and image processing software, including ArcMap and ERDAS Imagine, as well as surveying equipment such as GPS units and total stations.
Goals-both short-term and long-term
Short-Term:
- Clinical AI Pilots: Initiate project-based pilots focusing on AI applications in radiology, cardiology, and patient risk prediction models within clinical settings.
- Healthcare AI Bootcamp: Establish a hands-on training program to build AI/ML capacity among healthcare professionals, researchers, and students.
- Seed Funding Support: Provide internal funding to high-potential AI research projects, encouraging faculty and researchers to pursue extramural grants.
- Industry Collaboration: Partner with healthcare and technology industries for the development and implementation of biomedical devices, data analytics, and digital health solutions.
- AI-Based Telemedicine Expansion: Set up AI-enabled telemedicine centers in underserved and remote areas to improve healthcare accessibility.
Long-Term:
- KIMS Research Repository (KRR): Develop a large-scale, petabyte-level AI-ready data repository comprising clinical, medical imaging, and genomic datasets to support advanced research.
- Nationally Approved AI Tools: Design and validate regulatory-cleared AI solutions for nationwide implementation in diagnostics and clinical decision support.
- Global Collaborations: Foster strategic partnerships with international universities, research centers, and industries to advance innovation and knowledge exchange.
- High-Impact Output: Develop globally benchmarked datasets, file patents, and publish groundbreaking research in high-impact journals to establish leadership in medical AI.
Publication
| Sl. No | Title | Journal / Book / Patent | Publication House | IF | Scopus / SCE | Month / Year |
|---|---|---|---|---|---|---|
| 1 | Renewable energy resources in distributed power networks | Indian Innovation Patent | Publication of Patent Office | NA | NA | April, 2025 |
| 2 | Renewable Energy Based Sustainable Transportation System | Indian Patent (Design) | Publication of Patent Office | NA | NA | July, 2025 |
| Sl. No | Title | Journal / Book / Patent | Publication House | IF | Scopus / SCE | Month / Year |
|---|---|---|---|---|---|---|
| 1 | Applied Research Methodology: Case Studies, Probability Theory & Interdisciplinary Insights | Book | A2Z EDULEARNINGHUB LLP | NA | ISBN | March, 2025 |
| Sl. No | Title | Journal / Book / Patent | Publication House | IF | Scopus / SCE | Month / Year |
|---|---|---|---|---|---|---|
| 1 | Resilient Traditions and Changing Spaces: Vernacular Architecture and Livelihood Shifts in Assam’s Handloom and Handicraft Settlements | Indian Journal of Information Sources and Services | The Research Publication | NA | Yes | Dec, 2025 |
| 2 | Prediction of groundwater quality assessment by integrating boosted learning with DE optimizer | Scientific Reports | Nature Portfolio | 3.9 | Yes | Dec, 2025 |
| 3 | Socio-economic Inequities and Anemia in Pregnancy in Gajapati District of Odisha: An Empirical Inquest | Indian Journal of Information Sources and Services | PKP Preservation Network | NA | Yes | Sept, 2025 |
| 4 | Machine learning-based LULC change detection and environmental implications in Bankura, West Bengal, India | AIMS Environmental Science | AIMS Environmental Science | 1.2 | Yes | Sept, 2025 |
| 5 | Machine Learning-Enhanced Monitoring and Assessment of Urban Drinking Water Quality in North Bhubaneswar, Odisha, India | Limnological Review | MDPI | NA | Yes | Sept, 2025 |
| 6 | Integrated Evaluation of Soil Pollution and Plant Bioaccumulation Using Multimetric Indices: A Case Study from the Rehova Copper Mine, Albania | International Journal of Design & Nature and Ecodynamics (IJDNE) | International Information and Engineering Technology Association (IIETA) | NA | Yes | August, 2025 |
| 7 | Risk to resilience: analyzing barriers to cyclone vulnerability in coastal Odisha | Current Science | Indian Academy of Sciences | 1.0 | Yes | July, 2025 |
| 8 | Enhancing lightning strike prediction: leveraging geospatial data and ensemble machine learning for risk management | Acta Geophysica | SPRINGER | 2.1 | Yes | July, 2025 |
| 9 | Predicting Potential Habitats and the Conservation of the Tasar Silkworm (Antheraea mylitta) in the Similipal Biosphere Reserve, Odisha, India | Sustainability | MDPI | 3.3 | Yes | June, 2025 |
| 10 | Urban Expansion and Land Use Transformations in Midnapore City (2003–2024): Implications for Sustainable Development | Earth | MDPI | 3.4 | Yes | June, 2025 |
| 11 | Heatwave-induced thermoregulatory stress in Odisha’s coastal and north-eastern districts: Examining the April 2024 event using advanced statistical and geospatial techniques | Dynamics of Atmospheres and Oceans | Elsevier | 2.0 | Yes | June, 2025 |
| 12 | Hydrogeochemical and Geospatial Insights into Groundwater Contamination: Fluoride and Nitrate Risks in Western Odisha, India | Water | MDPI | 3.0 | Yes | May, 2025 |
| 13 | Irrigation water quality prognostication: An innovative ensemble architecture leveraging deep learning and machine learning for enhanced SAR and ESP estimation in the east coast of India | Journal of Environmental Chemical Engineering | Elsevier | 7.2 | Yes | April, 2025 |
| 14 | Fluoride Risk Prognostication: A Pioneering Ensemble Machine Learning Approach for Groundwater Contamination Prediction in Parts of the East Coast of India | Water | MDPI | 3.0 | Yes | March, 2025 |
| 15 | Geospatial monitoring of environmental sustainability: A remote sensing-based approach for assessing mining-induced impacts in Eastern India | Results in Engineering | Elsevier | 7.9 | Yes | March, 2025 |
Leadership & Core Team
Scope of works
Pioneering Research: Conducting cutting-edge research in …
Sustainable Funding:
Mentoring Future Leaders: Guiding Ph.D. scholars through interdisciplinary research projects.
Driving Policy & Practice:
Building Capacity & Disseminating Knowledge: Organizing workshops, seminars, and training programs, and publishing our findings in high-impact journals and policy reports.
- Conduct original research in …
- Design and develop innovative methodologies …
- Disseminate findings through publications in top-tier, peer-reviewed journals and presentations at international conferences.
- Research Leadership:Spearhead independent research projects utilizing advanced remote sensing technologies (LiDAR, Hyperspectral Imaging, InSAR) for environmental and hazard monitoring.
- Interdisciplinary Integration:Design and execute multi-disciplinary projects that bridge geospatial technology with practical climate adaptation strategies.
- Collaboration & Funding:Establish and maintain strategic partnerships with global research institutions (e.g., UN-SPIDER, GFZ Potsdam) and contribute to large-scale, funded projects in line with the Sendai Framework for DRR.
- Mentorship:Mentor and supervise Ph.D. and Master’s students in advanced geospatial data analysis, modeling, and research methodologies.
- Commercial Product Development:Creating market-ready remote sensing applications for sectors including disaster insurance and critical infrastructure monitoring.
- Real-Time Consultancy:Delivering rapid, data-driven disaster mapping and analysis for floods and landslides using integrated drone and satellite platforms.
- Strategic R&D Partnerships:Collaborating with leading research centers to advance the state of AI-driven geospatial analytics.
- Technology Transfer:Specializing in translating academic research into operational tools for industry, such as custom early warning systems for corporate clients.
Collaborative R&D and Innovation:
- Partner on joint research projects, such as developing IoT-based sensor networks for advanced disaster monitoring.
- Co-develop innovative software solutions with industry, including cloud-based GIS platforms for disaster management.
- Talent Development and Capacity Building
- Sponsor fellowships and internships for students to solve industry-relevant challenges.
- Conduct community engagement and training programs to build the capacity of local disaster responders.
Policy and Infrastructure Influence:
- Participate in Public-Private Partnerships (PPPs) to advance resilient infrastructure planning.
- Advocate for the integration of geospatial technologies into national and local disaster management policies.
Field Operations and Global Engagement:
- Execute rapid field surveys and drone-based mapping in disaster-affected areas to support response efforts.
- Foster international collaborations with universities, UN agencies, and space organizations to share knowledge and resources.
The CRSDM thus serves as a bridge between academia, industry, and policymakers, fostering innovation in remote sensing and disaster resilience.
Impact
The Centre of Nanomedicine and Bioinformatics has significantly advanced medical technology through interdisciplinary innovation. By integrating nanoscale engineering with computational biology, the center has contributed to the development of targeted drug delivery systems, smart wound healing materials, and precision cancer therapies. Its bioinformatics research enables data-driven insights into disease mechanisms, accelerating new drug discovery and personalized medicine. Collectively, these efforts bridge science and healthcare, promoting translational research that improves diagnostics, treatment efficacy, and overall patient outcome.
Training Program
The academic program in Nanomedicine and Bioinformatics is uniquely designed to bridge the gap between basic science, engineering, and healthcare technology. Unlike traditional programs that focus separately on biology, chemistry, or computational sciences, this interdisciplinary curriculum integrates nanotechnology, molecular biology, and data-driven bioinformatics to address real-world medical challenges. Students gain hands-on experience in nanomaterial synthesis, biomedical imaging, computational modeling, and drug design, supported by collaborative research with clinical and industrial partners. The program emphasizes innovation, problem-solving, and translational research — preparing students to contribute directly to next-generation medical devices, precision medicine, and digital health platforms.
