International Conference on
Emerging Trends in
Health, Environment and
Computational Sciences
Harnessing the Power of Computational Sciences
Conference Scope
The world around us is changing at an unprecedented pace. The delicate balance of our natural environment is increasingly being disturbed by human activities, technological expansion, industrialization, pollution, climate change and the unsustainable use of natural resources. The consequences of these changes are no longer confined to the environment alone—they are increasingly reflected in human health, biodiversity, food and water security, and the overall well-being of society.
At the same time, humanity is entering an era of extraordinary computational capability. Computers are no longer merely tools for calculation; they have become instruments for understanding complex systems, predicting future challenges, discovering patterns, supporting decisions and developing innovative solutions.
The International Conference on Emerging Trends in Health, Environment and Computational Sciences (ITEHECS 2026) is conceived around this important intersection of Health, Environment and Computational Sciences.
The central question of this conference is:
How can computational intelligence and emerging technologies help humanity understand, prevent and respond to the health and environmental challenges of tomorrow?
The conference seeks to bring together researchers, academicians, healthcare professionals, environmental scientists, computer scientists, mathematicians, engineers and young researchers to explore how Artificial Intelligence, Machine Learning, Data Science, Computational Biology, Mathematical Modelling, Health Informatics, Environmental Modelling and other emerging computational technologies can contribute to solving complex real-world problems.
The conference will encourage research that does not view Health, Environment and Computing as isolated disciplines, but as interconnected dimensions of a common global challenge.
From predicting disease outbreaks to monitoring environmental changes; from analysing large-scale health data to modelling climate and ecological systems; from developing intelligent healthcare solutions to creating computational approaches for sustainable development—the conference will provide a platform for ideas that can transform scientific understanding into meaningful action.
We believe that the challenges of tomorrow cannot be addressed by a single discipline alone. They require the convergence of knowledge, technology and human imagination.
ITEHECS 2026 therefore aims to create a collaborative scientific platform where Health meets Environment, Science meets Technology, and Human challenges meet Computational Intelligence—with the shared vision of building a healthier, safer and more sustainable future.
Objectives of the Conference
The International Conference on Emerging Trends in Health, Environment and Computational Sciences (ITEHECS 2026) aims to create a multidisciplinary platform for understanding the interconnected challenges facing human health and the natural environment, and for exploring how computational sciences can help transform these challenges into opportunities for innovation and sustainable development.
The conference seeks to:
- Explore the interconnectedness of health and environment and examine how environmental changes, climate change, pollution, biodiversity loss and other ecological challenges influence human and societal health.
- Harness the potential of Artificial Intelligence and Computational Sciences to understand complex health and environmental problems, analyse large and diverse datasets, identify emerging patterns and develop predictive solutions.
- Promote interdisciplinary research by bringing together healthcare professionals, environmental scientists, biologists, computer scientists, mathematicians, engineers, researchers and academicians on a common scientific platform.
- Encourage innovative computational approaches including Artificial Intelligence, Machine Learning, Data Science, Computational Biology, Mathematical Modelling, Health Informatics, Environmental Modelling and other emerging technologies.
- Explore predictive and preventive solutions for emerging health threats, environmental risks, disease outbreaks, climate-related challenges and other problems that may affect future generations.
- Bridge scientific knowledge with real-world applications, encouraging research that can move beyond theoretical understanding towards practical, scalable and sustainable solutions.
- Provide a platform for young researchers and emerging scholars to present their ideas, exchange knowledge and build meaningful academic and research collaborations.
- Foster national and international collaboration among universities, research institutions, healthcare organisations, industries and scientific communities.
- Encourage responsible and ethical use of technology, recognising that computational power and Artificial Intelligence must be guided by scientific integrity, human values, environmental responsibility and social well-being.
- Build a vision for a healthier and more sustainable future, where scientific knowledge, environmental responsibility and computational intelligence work together to address the challenges of tomorrow.
Ultimately, ITEHECS 2026 seeks to move from understanding problems to predicting them, from predicting them to preventing them, and from prevention to creating sustainable solutions for generations to come.
Why Attend ITEHECS 2026?
Where Ideas Converge, Disciplines Connect and Solutions Begin
The challenges facing our world today do not belong to a single discipline. The health of human beings is inseparably connected with the health of our environment, while the complexity of these challenges increasingly demands the power of computational thinking and technological innovation.
ITEHECS 2026 offers a platform where these diverse areas of knowledge come together—not merely to exchange information, but to discover new possibilities, develop meaningful collaborations and shape solutions for the future.
Participants will have the opportunity to:
- Present and discuss original research before an interdisciplinary audience of researchers, academicians and professionals.
- Discover emerging developments in Artificial Intelligence, Machine Learning, Data Science, Computational Biology, Mathematical Modelling, Health Informatics, Environmental Science and related fields.
- Connect across disciplines, creating opportunities for collaboration between health professionals, environmental scientists, computer scientists, mathematicians, biologists, engineers and other researchers.
- Exchange ideas and perspectives on complex scientific and societal challenges that cannot be addressed by one discipline alone.
- Explore computational approaches to real-world problems, including disease prediction, environmental monitoring, climate-related challenges, healthcare innovation and sustainable development.
- Engage with distinguished keynote and invited speakers and gain insights into emerging directions in research and technology.
- Build national and international research networks with universities, research institutions, scientific organisations and industry professionals.
- Provide young researchers and students with a platform to present their work, receive academic feedback and develop their research identity.
- Explore opportunities for interdisciplinary and international collaboration, including joint research, academic partnerships and future scientific initiatives.
- Be part of a forward-looking scientific community working towards a healthier, safer and more sustainable future.
ITEHECS 2026 is not simply a conference for presenting what we know. It is a platform for asking what comes next—and how science and computational intelligence can help us get there.
Who Should Participate?
ITEHECS 2026 welcomes participants from diverse academic, scientific, healthcare, technological and professional backgrounds. The interdisciplinary nature of the conference encourages participation not only from specialists within individual fields, but also from researchers working at the boundaries between disciplines.
The conference is particularly relevant to:
🏥 Health & Medical Sciences
- Medical professionals
- Public health researchers
- Healthcare professionals
- Nursing professionals and researchers
- Allied health professionals
- Epidemiologists
- Health policy and healthcare management researchers
🌿 Environment & Sustainability
- Environmental scientists
- Ecologists
- Climate researchers
- Environmental health professionals
- Biodiversity researchers
- Sustainability researchers
- Natural resource and pollution-control specialists
💻 Computer & Computational Sciences
- Computer scientists
- AI and Machine Learning researchers
- Data scientists
- Software and technology researchers
- Computational scientists
- Health informatics specialists
- Researchers in emerging technologies
🧮 Mathematics & Modelling
- Mathematicians
- Statisticians
- Mathematical modellers
- Operations research specialists
- Computational mathematics researchers
- Researchers in mathematical biology and epidemiological modelling
🧬 Biological & Life Sciences
- Biologists
- Biotechnology researchers
- Microbiologists
- Molecular biologists
- Bioinformatics researchers
- Computational biology researchers
🎓 Academia & Research
- Professors and academicians
- Research scientists
- Postdoctoral researchers
- PhD scholars
- Research fellows
- Undergraduate and postgraduate students
🏢 Industry & Innovation
- Technology professionals
- Healthcare and biotechnology industries
- Environmental technology organisations
- Data and AI companies
- Research and development professionals
- Entrepreneurs and innovators
🌍 International Academic Community
Universities, research institutions, academic societies and scientific organisations from around the world are encouraged to participate and contribute to the development of interdisciplinary research collaborations.
If your work seeks to understand a challenge, predict its future, develop a solution, or use technology to create a better world, ITEHECS 2026 welcomes you.
Submission Guidelines
Scope of Submission
ITEHECS 2026 welcomes original research, innovative studies, computational approaches, applied research and interdisciplinary work related to:
- Health and Medical Sciences
- Public Health and Healthcare
- Environmental Science and Sustainability
- Climate Change and Environmental Health
- Artificial Intelligence and Machine Learning
- Data Science and Big Data Analytics
- Computational Biology and Bioinformatics
- Health Informatics
- Environmental Modelling
- Mathematical and Epidemiological Modelling
- Computational Mathematics and Statistics
- Biotechnology and Life Sciences
- Disease Prediction and Prevention
- Environmental Monitoring
- Healthcare Technology and Digital Health
- Sustainable Development
- Emerging Computational Technologies
The conference encourages research that connects health, environment and computational sciences through interdisciplinary approaches.
Originality of the Work
- Present original research or a meaningful research contribution.
- Clearly identify the research problem or knowledge gap.
- Describe an appropriate methodology.
- Present evidence-based results or findings.
- Clearly explain the significance and potential application of the research.
- Avoid simultaneous submission where this would conflict with applicable publication policies.
Recommended Submission Structure
Title: Concise, specific and representative of the research. Avoid unnecessary abbreviations.
Author Information: Full name(s), affiliation/institution, department where applicable, city/country, and corresponding author’s email address.
Abstract: Briefly cover Background/Problem, Research Objective, Methodology, Key Results/Findings, and Conclusion/Significance.
Keywords: Provide approximately 4–6 relevant keywords representing the major concepts of the research.
Research Content
Research Problem: State the problem or scientific question addressed by the study.
Research Gap: Identify the existing limitation, unanswered question or practical problem.
Objectives: State specific objectives or research questions.
Methodology: Explain study design, dataset/sample, experimental setup, computational methods, statistical methods, algorithms/models, and relevant tools.
Results: Present principal findings using appropriate tables, graphs, charts, images and statistical/model performance measures.
Discussion: Explain the meaning of the results and their relationship to existing knowledge or real-world problems.
Conclusion: State the principal contribution and implications of the research.
Interdisciplinary Research
- Health + AI: disease prediction, medical AI, health analytics and clinical decision support.
- Environment + AI: environmental monitoring, climate modelling and pollution prediction.
- Health + Environment: environmental health, pollution-related diseases and climate-health relationships.
- Health + Computing: health informatics, computational biology and digital healthcare.
- Environment + Computing: environmental modelling, remote sensing and sustainability analytics.
- Health + Environment + Computing: interdisciplinary computational approaches to complex health and environmental problems.
Ethical and Research Integrity Requirements
- Comply with applicable research and ethical requirements.
- Obtain appropriate ethical approval for human/animal research where required.
- Protect personal, confidential and sensitive information.
- Properly acknowledge data sources, figures, tables and datasets.
- Cite relevant references and sources.
- Present research findings accurately without fabrication or manipulation.
- For AI-assisted research, transparently identify the role of AI or computational tools where relevant.
Presentation Guidelines
Presentation Duration
Maximum presentation time: 10–12 minutes.
Presenters should target approximately 10–11 minutes to leave a small buffer and avoid exceeding the allotted time.
Number of Slides
Maximum: 10–12 slides.
Slides should be concise, visual and focused on communicating the main research contribution.
Slide | Recommended Content | Approx. Time |
1 | Title & Author Information | 0:30–0:45 |
2 | Background / Research Context | 0:45–1:00 |
3 | Problem Statement & Research Gap | 1:00 |
4 | Objectives / Research Questions | 0:30–0:45 |
5 | Methodology / Study Design | 1:00–1:30 |
6 | Dataset / Experimental Setup | 0:45–1:00 |
7 | Key Results – 1 | 1:00–1:30 |
8 | Key Results – 2 / Comparative Analysis | 1:00–1:30 |
9 | Discussion / Interpretation | 0:45–1:00 |
10 | Conclusion & Key Contributions | 0:45–1:00 |
11 | Limitations & Future Work | 0:30–0:45 |
12 | Thank You / Questions | — |
Slides 11–12 may be combined or omitted if the study can be presented effectively in 10 slides.
Slide-by-Slide Guidance
Slide 1 — Title: Include research title, presenter, co-authors, institution/affiliation and conference name.
Slide 2 — Background: Explain why the topic matters and provide essential health, environmental or computational context.
Slide 3 — Problem Statement & Research Gap: Clearly explain the existing problem, limitations and reason for conducting the study.
Slide 4 — Objectives: Present 2–4 clear objectives or research questions.
Slide 5 — Methodology: Show the research workflow visually where possible: Data → Processing → Model/Analysis → Validation → Results.
Slide 6 — Dataset / Experimental Setup: Present only information necessary to understand the study and results.
Slide 7 — Key Results: Present the most important finding using a graph, chart, table, image or model output.
Slide 8 — Key Results / Comparative Analysis: Present additional findings, model comparisons, performance metrics, trends or other major evidence.
Slide 9 — Discussion: Explain what the results mean, how they relate to previous research and their significance.
Slide 10 — Conclusion: Summarize the main finding, research contribution and significance.
Slide 11 — Limitations & Future Work: Briefly identify important limitations and future research directions.
Slide 12 — Thank You / Questions: Include Thank You, presenter name, institution and email. A QR code may link to a paper, ORCID, dataset or project.
Slide Design Guidelines
- Use charts, diagrams, flowcharts, research images, model architecture diagrams and concise tables where appropriate.
- Avoid large paragraphs and excessive text.
- Aim for one main message plus 3–5 supporting points per slide.
- Recommended minimum sizes: titles 28–36 pt, section headings 24–30 pt, body text 20–24 pt.
- Ensure chart labels and figures are readable from a distance.
- Label axes, units, legends and important statistical/model metrics clearly.
- Do not reproduce the full research paper on the slides; use the presentation to explain the research.
Presentation Checklist
- Presentation is 10–12 slides maximum.
- Presentation duration is 10–12 minutes maximum.
- Research title and author information are correct.
- Research problem and gap are clearly stated.
- Objectives are clearly presented.
- Methodology is understandable.
- Key results are clearly visible and readable.
- Conclusions are supported by the presented results.
- Limitations/future work are addressed where appropriate.
- References/sources are acknowledged where necessary.
- Charts, figures and images are properly labelled.
- Presentation has been rehearsed and fits within the time limit.
Recommended Timing Summary
Section | Approx. Time |
Title | 0:30 |
Background | 0:45 |
Problem & Gap | 1:00 |
Objectives | 0:45 |
Methodology | 1:30 |
Dataset / Setup | 0:45 |
Results 1 | 1:30 |
Results 2 | 1:30 |
Discussion | 1:00 |
Conclusion | 0:45 |
Limitations / Future Work | 0:30 |
Total | ~10:30 |
Important Note on Official Conference Requirements
The official ITEHECS 2026 conference page provides information on the conference scope, objectives and relevant research areas. The page does not, in the information reviewed for this document, specify an abstract word limit, paper-formatting template, submission file format, or official presentation template. Accordingly, the 10–12 minute presentation duration and 10–12 slide limit in this document are the requested presentation parameters, while other detailed submission items are presented as recommended guidelines.