Name

Mr. Ramsagar Yadav

Date of Birth

11.03.1986

Educational Qualification

M.Sc. – Mathematics, Ph.D. (AI/ML & Data Science) (Pursuing), MBA (Finance), CSIR-UGC-NET (JRF), IIT-GATE

Work Experience

15

Teaching

15

Research

13

Industry

03 (Honorary Consultant)

Others

• Academic Administration
• Curriculum & Syllabus Development
• FDP/Workshop Coordination
• Research Grants & Proposal Support 
• Journal/Conference Reviewing & Peer Review
• Student Research & Innovation Mentoring
• Industry–Academia Collaboration
• IPR & Patent Facilitation
• Professional Body/Research Trust Leadership

Area of Specialization

• Artificial Intelligence & Machine Learning
• Data Science & Decision Analytics
• Quantum Computing & Cryptography
• Mathematical Foundations of AI
• Number Theory & Computational Mathematics
• AI-Driven Optimization & Smart Systems
• Ethical & Trustworthy AI
• Neuroscience
• Consciousness Studies

Courses Taught

• Calculus & Mathematical Modelling
• Linear Algebra & Probability for AI
• Statistics & Stochastic Processes
• Machine Learning & Deep Learning
• Numerical & Computational Methods
• Discrete Mathematics, Graph Theory & Optimization
• Financial Mathematics & FinTech Analytics
• Cryptography & Blockchain
• Data Analytics (Python/R)
• Quantum Computing Foundations

Subjects Taught

• Mathematics for Artificial Intelligence
• Data Science & Business Analytics
• Computational Mathematics & Statistics
• Research Methodology & Scientific Writing
• Cryptography & Cybersecurity Mathematics
• Blockchain Technologies & Distributed Ledgers
• Quantum Algorithms & Quantum Information Theory
• Business Mathematics & Applied Statistics
• Econometrics & Predictive Modelling
• Bio-Statistics & Health Data Analytics
• Research Methodology

Research Guidance (Number of Students)

1 (Co-Supervisor)

No. of Papers Published in National/International Journals/Conference

25

Ph.D. (Completed/Ongoing)

Completed

Projects Carried Out

4 

• Optimization in IoT-Enabled Smart Agriculture Networks
  (AI-driven resource allocation, yield prediction, sustainability)
• Blockchain-Based Agro-Ecosystem Management System
  (Traceability, transparency, secure supply chains, farmer empowerment)
• AI-Based Predictive Analytics Models for Agricultural Decision Support (Academic/Prototype Level)
• Mathematical Optimization Models for Secure Distributed Systems

Patents (Filed & Granted)

3 filed in the domain of Blockchain-enabled Agricultural Traceability, addressing:

• End-to-end supply chain transparency
• Secure data sharing among farmers, aggregators, and regulators
• Tamper-proof provenance and quality assurance
• Integration with IoT and AI-based monitoring systems

Technology Transfer

• Development of prototype-level AI & Blockchain solutions for agriculture and data security
• Knowledge transfer through research publications, workshops, FDPs, and curriculum design
• Contribution to open-source tools, academic frameworks, and algorithmic models
• Industry–academia knowledge exchange as Honorary Consultant

Research Publications

15 – Published in SCOPUS and Springer-indexed journals

No. of Books Published

7

Other

1. Awarded Elsevier Mathematical Sciences Sponsorship Fund (MSSF) 2023
2. Honorary Founder Secretary of Mission Promote Research Trust

Date of Joining

02.12.2013

Date of Retirement

11.03.2046

Type of Association

Full-Time

Type of Appointment

Permanent Faculty