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Faculty Dr SR NGAMWAL ANAL

Dr SR NGAMWAL ANAL

Assistant Professor

Department of Computer Science and Engineering

Contact Details

ngamwal.a@srmap.edu.in

Office Location

Homi J Bhabha Block, Level 3, Cubicle No: 25
School of Engineering and Sciences Computer Science and Engineering Faculty Dr SR NGAMWAL ANAL

Faculty Information

Education

2025
PhD
NIT Meghalaya, Meghalaya
India
2018
M.Tech
NIT Meghalaya, Meghalaya
India
2013
BSc. Comp. Science
St. Endmund's College Shillong, Meghalaya
India

Personal Website

Experience

  • Assistant Professor-KL University Hyderabad
  • Assistant Professor SRM University-AP, Andhra Pradesh

Research Interest

  • My research interest lies at the intersection of artificial intelligence and healthcare, particularly in developing scalable, explainable, and data-efficient deep learning models for adverse drug reaction detection and drug–drug interaction prediction using text, image, and graph-based biomedical data. I focus on multimodal learning frameworks that integrate molecular structures, biomedical knowledge graphs, and clinical narratives to improve predictive performance and reliability in drug safety assessment.
  • Recently, I have developed a strong interest in exploring the integration of quantum computing with machine learning, investigating how quantum-enhanced algorithms and hybrid quantum–classical models can address computational bottlenecks in large-scale biomedical data analysis and complex graph-based learning tasks. My long-term goal is to design next-generation intelligent systems that combine multimodal AI and emerging quantum techniques to advance precision medicine and clinical decision support.

Memberships

Publications

Patents

Projects

Scholars

Interests

  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
  • Quantum Computing

Thought Leaderships

There are no Thought Leaderships associated with this faculty.

Top Achievements

Research Area

No research areas found for this faculty.

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Recent Updates

No recent updates found.

Education
2013
BSc. Comp. Science
St. Endmund's College Shillong
India
2018
M.Tech
NIT Meghalaya
India
2025
PhD
NIT Meghalaya
India
Experience
  • Assistant Professor-KL University Hyderabad
  • Assistant Professor SRM University-AP, Andhra Pradesh
Research Interests
  • My research interest lies at the intersection of artificial intelligence and healthcare, particularly in developing scalable, explainable, and data-efficient deep learning models for adverse drug reaction detection and drug–drug interaction prediction using text, image, and graph-based biomedical data. I focus on multimodal learning frameworks that integrate molecular structures, biomedical knowledge graphs, and clinical narratives to improve predictive performance and reliability in drug safety assessment.
  • Recently, I have developed a strong interest in exploring the integration of quantum computing with machine learning, investigating how quantum-enhanced algorithms and hybrid quantum–classical models can address computational bottlenecks in large-scale biomedical data analysis and complex graph-based learning tasks. My long-term goal is to design next-generation intelligent systems that combine multimodal AI and emerging quantum techniques to advance precision medicine and clinical decision support.
Awards & Fellowships
Memberships
Publications
Contact Details

ngamwal.a@srmap.edu.in

Scholars
Interests

  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
  • Quantum Computing

Education
2013
BSc. Comp. Science
St. Endmund's College Shillong
India
2018
M.Tech
NIT Meghalaya
India
2025
PhD
NIT Meghalaya
India
Experience
  • Assistant Professor-KL University Hyderabad
  • Assistant Professor SRM University-AP, Andhra Pradesh
Research Interests
  • My research interest lies at the intersection of artificial intelligence and healthcare, particularly in developing scalable, explainable, and data-efficient deep learning models for adverse drug reaction detection and drug–drug interaction prediction using text, image, and graph-based biomedical data. I focus on multimodal learning frameworks that integrate molecular structures, biomedical knowledge graphs, and clinical narratives to improve predictive performance and reliability in drug safety assessment.
  • Recently, I have developed a strong interest in exploring the integration of quantum computing with machine learning, investigating how quantum-enhanced algorithms and hybrid quantum–classical models can address computational bottlenecks in large-scale biomedical data analysis and complex graph-based learning tasks. My long-term goal is to design next-generation intelligent systems that combine multimodal AI and emerging quantum techniques to advance precision medicine and clinical decision support.
Awards & Fellowships
Memberships
Publications
Contact Details

ngamwal.a@srmap.edu.in

Scholars