About FDP

Faculty of Engineering & Technology, Sharda University Uzbekistan, is organizing 5 days FDP on Artificial Intelligence for Healthcare in collaboration with Mizan-Tepi University, Ethiopia and MathTech Thinking Foundation, INDIA (An International Association for STEM professionals) from 20th Nov 2023 – 24th Nov 2023. This FDP is an international forum which aims to bring together leading academician, researchers and research scholars to exchange and share their experiences and hard-earned technological advancements and applications in Artificial Intelligence and Machine Learning in healthcare domain.

Objectives of the Event:

The idea of the FDP is to bring the scholars, scientists, industrialists from all over the world in the IT industry to a common platform and achieve the following:

• To develop research acumen among faculty members and also dissemination of the same amongst the students by incorporating research-based inputs in education.
• To acquaint the participants with the use of basic qualitative and quantitative research techniques.
• Use different machine learning techniques to design AI machines and enveloping applications for real-world problems.
• Demonstrate an ability to share in discussions of artificial intelligence and machine learning, its current scope and limitations, and societal implications.
• To present the on-going researches in the field and hence to foster research relations between the Universities and the industry

Topics

Day 1: Introduction to AI in Healthcare: Fundamentals of Artificial Intelligence, Machine Learning vs. Deep Learning, The Significance of AI in Healthcare, Applications of AI in Healthcare, Challenges and Opportunities
Day 2: Healthcare Data and Preprocessing: Understanding Healthcare Data Sources, Data Acquisition and Preprocessing, Dealing with Missing Data, Data Transformation and Feature Engineering, Hands-on Introduction to Python for Healthcare Data, Working with Jupyter Notebooks, Data Preprocessing with Python, Data Visualization in Healthcare
Day 3: Machine Learning in Healthcare: Supervised Learning in Healthcare, Classification and Regression Problems, Unsupervised Learning in Healthcare, Clustering and Anomaly Detection, Building a Healthcare Predictive Model, Model Evaluation and Interpretability
Day 4: Deep Learning in Healthcare: Introduction to Deep Learning, Convolutional Neural Networks (CNNs) in Medical Imaging, Recurrent Neural Networks (RNNs) in Healthcare
Transfer Learning in Healthcare, Building Deep Learning Models for Healthcare, Hands-on Image Analysis in Healthcare
Day 5: AI Ethics and Future Trends: Ethics in AI for Healthcare, Regulatory and Privacy Considerations, Future Trends and Emerging Technologies, Research Opportunities in AI for Healthcare

CHIEF PATRON

Mr. Prashant Gupta, President, Sharda University Uzbekistan

PATRON:

• Prof. (Dr.) Sanjay Pal, Rector, Sharda University Uzbekistan, Uzbekistan.
• Prof. (Dr.) Mehar Chand, Founder & President, MTTF, India.
• Dr. Abyot Asers , Vice President for Research and Community Service, Mizan-Tepi University, Ethiopia

CONVENER:

Prof. (Dr.) Pooja, Dean, Faculty of Engineering & Technology, Sharda University Uzbekistan

Coordinator Details:

• Dr. Pramod, Associate Professor, FoET, Sharda University Uzbekistan
• Mr. Birhanu Gardie, Dean, School of Computing and Informatics, Mizan-Tepi University. Ethiopia
• Mr. Jatin Bansal, Coordinator, MTTF, India
• Mr. Ram Kumar Ramaswamy, Assistant Professor, FoET, Sharda University Uzbekistan
• Mr. Vivek Khirasaria, Assistant Professor, FoET, Sharda University Uzbekistan
• Mr. Egamberdieva Barno, Assistant Professor, FoET, Sharda University Uzbekistan
• Mr. Yuldashev Nodirbek, Assistant Professor, FoET, Sharda University Uzbekistan
• Mr. Khalimjanov Abduqunduz, Assistant Professor, FoET, Sharda University Uzbekistan
• Mr. Otabek Puladjanov, Teaching Assistant, FoET, Sharda University Uzbekistan

Registration Fee:

• 600000 Sóm for Uzbekistan Participants
• 1000 INR (Including GST) for Indian participants
• 50 USD for International Participants

UZS ACCOUNT :

20214000905066273001 (UZS)
BANK NAME: PJSC “TRUST BANK”
ANDIJAN BRANCH
BIC: 01074
TAX ID: 306350272

FOREIGN CURRENCY ACCOUNTS :

20214978805066273001 (EURO);
20214840905066273001 (USD).
BANK NAME: PJSC “TRUST BANK”
ANDIJAN BRANCH
SWIFT CODE: TRSAUZ22

[button link=”https://www.payumoney.com/webfronts/#/index/FDPAIH2023″] INR accepted here[/button]

[button link=”https://www.paypal.com/paypalme/mttf2020?country.x=IN&locale.x=en_GB” color=”red” newwindow=”yes”] USD accepted here[/button]

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For more information contact

• Sharda University: +998-903871234,
• MTTF: +91-9041340179
• Mizan-Tepi University:: +251 93 734 1707

organized by

Faculty of Engineering and Technology, Sharda University, Uzbekistan

in collaboration with

MathTech Thinking Foundation (MTTF), Fazilka, Punjab, INDIA

and

Mizan-Tepi University, ETHIOPIA

ABOUT SHARDA UNIVERSITY UZBEKISTAN

Sharda University Uzbekistan has been established in line with Sharda’s commitment to offer world class education to everyone. It is the first independent private university in Uzbekistan that is being envisioned to become the gateway for students from Eurasia. Students of Sharda University Uzbekistan share the legacy of Sharda, India’s truly global university with 27% students from 95+ countries; which has over the years become one of the leading centres of education, research and innovation in Asia. In the next few years, the University will become the epicenter of future-focused education in various disciplines including Engineering, Management, Medical, Dental, Law, Architecture, Design, Journalism & Mass Communication, Computer Applications, Basic Sciences, Nursing, Biotechnology, Food & Technology, Pharmacy, Physiotherapy, Paramedical, Education, Languages, Animation, Agriculture, Visual Arts and Stem Cell & Cancer Biology. Sharda University Uzbekistan will also establish Centres of Excellence to promote research and innovation that will benefit the entire mankind.