Javed Aalam | Computer Science | Best Researcher Award

Posted on by Phenomenological Research

Best Researcher Award

Javed Aalam — Jamia Millia Islamia, India

Javed Aalam
Affiliation Jamia Millia Islamia
Country India
Google Scholar o66_FAoAAAAJ
Documents 7
Citations 30
h-index 3
Subject Area Bioinformatics
Event International Phenomenological Research Awards
Scopus ID 56472832900
ORCID 0009-0008-0967-1827

Javed Aalam is a bioinformatics researcher affiliated with Jamia Millia Islamia whose academic work focuses on the intersection of next-generation sequencing, machine learning, infectious-disease diagnostics, transcriptomics, genomics, and artificial intelligence in healthcare. His research profile combines computational analysis of biological data with clinically oriented diagnostic applications, particularly in infectious diseases and tuberculosis.[1]

Abstract

Javed Aalam’s academic profile is centered on bioinformatics and computational approaches to biomedical research. His doctoral research at Jamia Millia Islamia addresses next-generation sequencing for infectious-disease diagnosis using machine-learning methods. His broader work encompasses RNA sequencing, differential gene expression, genomic analysis, multi-omics integration, artificial intelligence, and computational approaches to disease diagnosis. His scholarly record includes research publications, Scopus-indexed book chapters, conference presentations, peer-review activity, and specialized training in genomic data science.

Keywords

Bioinformatics; Next-Generation Sequencing; Machine Learning; Deep Learning; Infectious Disease Diagnostics; RNA-Seq; Transcriptomics; Genomics; Multi-Omics; Differential Gene Expression; Tuberculosis; Computational Biology; Artificial Intelligence; Biomedical Data Analysis; Precision Healthcare.

Introduction

Javed Aalam is a researcher in bioinformatics whose academic development has combined biological sciences with computational and data-driven methodologies. He completed a Bachelor of Science (Honours) in Botany at the University of Delhi, followed by a Master of Bioinformatics and doctoral studies at Jamia Millia Islamia. His research trajectory reflects the growing role of computational biology in interpreting high-throughput molecular data and developing evidence-based approaches to disease diagnosis.

His current doctoral research, titled “NGS for Diagnosing Infectious Diseases using Machine Learning,” focuses on integrating sequencing-derived biological information with machine-learning approaches. This research direction is consistent with his published work examining infectious-disease diagnosis through machine learning and next-generation sequencing. [3]

Research Profile

Javed Aalam’s research profile spans computational genomics, transcriptomics, machine learning, deep learning, and biomedical data analysis. His technical experience includes bulk RNA sequencing, single-cell RNA sequencing, whole-genome sequencing, whole-exome sequencing, and integrative multi-omics analysis. He also works with biological and biomedical databases including NCBI, GEO, PDB, UniProt, and TCGA.[1][2]

His methodological training includes Python, R, Linux-based computational environments, next-generation sequencing quality control, transcriptome analysis, medical data analysis, genome informatics, and machine learning. These capabilities support research that connects molecular datasets with computational models for biological interpretation and potential clinical applications.

Education

  • Jamia Millia Islamia, New Delhi, India — PhD in Bioinformatics, 2022–Present; research focus on next-generation sequencing for diagnosing infectious diseases using machine learning.
  • Jamia Millia Islamia, New Delhi, India — Master of Bioinformatics (M.Sc.), 2018–2020.
  • University of Delhi, New Delhi, India — Bachelor of Science (B.Sc.) Honours in Botany, 2015–2018.

Professional Experience

  • Research Project Scientist 1, CSIR-IGIB — Bioinformatics Scientist on the SCA-12 project, 24 November–31 December 2025.
  • M.Sc. Research Project/Training, Regional Centre for Biotechnology, Faridabad — analysis of unique 5′ untranslated regions of mRNAs of Candida albicans under Dr. Anil Thakur, 15 January–15 June 2020.
  • Research Project Internship, Jamia Millia Islamia — comparative genomics and diversity analysis of the testis-specific serine/threonine kinase 6 (TSSK-6) gene and proteins and their role in cancer, August–December 2019.
  • Internship, ICAR-IARI, Pusa, New Delhi — comparative genomics and diversity analysis of the false-smut pathogen Ustilaginoidea virens, July 2019.

Research Contributions

A major component of Javed Aalam’s research is the application of machine learning and next-generation sequencing to infectious-disease diagnosis. His work addresses the computational interpretation of molecular datasets, with particular attention to identifying disease-associated signatures and biomarkers. His published review of machine-learning techniques and next-generation sequencing surveys computational approaches for infectious-disease diagnosis and discusses methodological developments in the field. [3]

His conference research has also addressed integrative RNA-Seq and differential gene-expression analysis for identifying clinical biomarkers in tuberculosis, alongside machine-learning-driven omics approaches for tuberculosis diagnostics. These activities demonstrate a research orientation toward combining molecular profiling with computational prediction.

A further dimension of his work concerns artificial intelligence in healthcare. His book-chapter contributions address personalised healthcare services, disease and medication management, rehabilitation care, large language models for drug-target discovery and literature mining, and AI-assisted diagnostics. His collaborative publication on deep learning and lung-cancer diagnosis using next-generation sequencing further extends this computational-healthcare focus. [4]

Technical and Computational Expertise

  • Machine learning and deep learning for next-generation sequencing data analysis.
  • Programming with Python and R and computational work on Linux platforms.
  • Bulk RNA sequencing and single-cell RNA sequencing analysis.
  • Whole-genome and whole-exome sequencing analysis.
  • Integrative multi-omics data integration and analysis.
  • Use of NCBI, GEO, PDB, UniProt, and TCGA databases.

Publications

Javed Aalam’s publication record includes research articles, book chapters, and conference contributions addressing computational methods in biomedical research. A notable 2025 article, published in Computers in Biology and Medicine, presents an extensive review of infectious-disease diagnosis using machine-learning techniques and next-generation sequencing, reflecting his central research interest in computational diagnostics. [3]

His collaborative 2026 article in Archives of Computational Methods in Engineering examines deep-learning approaches for improving lung-cancer diagnosis using next-generation sequencing and provides a state-of-the-art perspective on computational diagnostic strategies. [4]

Javed Aalam has also contributed to the book chapter “Personalized Healthcare Services for Assisted Living in Healthcare 5.0,” published in 2025 in Ambient Assisted Living. The chapter addresses personalised healthcare within technology-enabled healthcare environments and complements his broader interest in artificial intelligence and computational healthcare. [5]

Selected Book Chapters

  • Aalam, J., Shah, S. N. A., & Parveen, R. (2024). “Personalised Healthcare Services for Assisted Living in Healthcare 5.0.” Routledge Taylor & Francis Group.
  • Shah, S. N. A., Aalam, J., & Parveen, R. (2024). “AI for Disease Management, Medication Management, and Rehabilitation Care.” Routledge Taylor & Francis Group.
  • Shah, S. N. A., Aalam, J., & Parveen, R. (2025). “Large Language Models for Automated Drug Target Discovery and Literature Mining.” Springer Nature Publishers.
  • Aalam, J., Shah, S. N. A., & Parveen, R. (2025). “AI in Diagnostics.” Bentham Science Publishers. Accepted.
  • Shah, S. N. A., Aalam, J., & Parveen, R. (2024). “AI in Healthcare.” Bentham Science Publishers. Accepted.

Conference Presentations

  • Shah, S. N. A., Aalam, J., & Parveen, R. “Advancing Lung Infection Detection via DL with X-ray Imaging,” Bio-Physika, Jamia Millia Islamia, 2024.
  • Aalam, J., & Parveen, R. “Integrative RNA-Seq and DEG Analysis for the Identification of Clinical Biomarkers in Tuberculosis Infectious Disease,” Proceedings of the 2nd International Electronic Conference on Clinical Medicine, MDPI, 13–15 November 2024.
  • Aalam, J., & Parveen, R. “Machine Learning-Driven Omics Approaches for Diagnostic Biomarker in TB based on Differential Gene Expression Data,” Proceedings of the 2nd International Electronic Conference on Genes, MDPI, 11–13 December 2024.

Research Impact

The available scholarly indicators provide an established but developing research profile. His Google Scholar record lists seven documents, 30 citations, and an h-index of 3. [1] His Scopus author record is identified by Author ID 56472832900. [2] These indicators should be interpreted in relation to career stage, publication chronology, field-specific citation practices, and the evolving nature of his doctoral research.

Beyond citation metrics, his research impact is represented by contributions across infectious-disease diagnostics, sequencing-based biomedical analysis, machine learning, deep learning, and AI-enabled healthcare. His involvement as a peer reviewer for journals in computational biology, biomedical computing, and applied artificial intelligence also indicates engagement with scholarly evaluation and research communication.[1]

Peer-Review Activity

  • Computers in Biology and Medicine.
  • Expert Systems with Applications.
  • Computational Biology and Chemistry.

Training and Workshops

  • International Workshop on Next Generation Sequencing, Decode Life, August 2022.
  • Joint Workshop with Ensembl on Genome-Informatics, Decode Life with EMBL-EBI, UK, 17 June–15 July 2023.
  • International Workshop on Data Science and Machine Learning with R, Decode Life, October–November 2023.
  • Hands-on Workshop on Medical Data Analysis with Python, Jawaharlal Nehru University, January 2024.
  • AI Innovations in Life Sciences, Biotech & Pharma Research, JIIT, Noida, March 2024.
  • NGS Data QC and Transcriptome Analysis, Jawaharlal Nehru University, February 2024.

Award Suitability

Javed Aalam’s profile demonstrates several characteristics relevant to consideration for a Best Researcher Award. These include a clearly defined bioinformatics research direction, active doctoral-level investigation, peer-reviewed scholarly output, interdisciplinary work linking computational methods with biomedical questions, and practical expertise in next-generation sequencing and machine learning.[1]

His publication portfolio is particularly aligned with contemporary computational-biology priorities, including infectious-disease diagnosis, sequencing-based biomarker discovery, deep learning, and AI-supported healthcare. His research publications and scholarly chapters demonstrate continuity between his technical training and his broader research agenda. [3] [4] [5]

The combination of research activity, academic training, publication contributions, peer-review service, and developing citation impact provides a substantive basis for recognition within the Best Researcher Award category of the International Phenomenological Research Awards. The assessment should remain evidence-based and consider both quantitative indicators and the quality, relevance, originality, and trajectory of the research contributions.

Conclusion

Javed Aalam represents an emerging bioinformatics researcher working at the interface of next-generation sequencing, machine learning, computational biology, and biomedical diagnostics. His doctoral research and publication activities demonstrate a coherent focus on applying computational approaches to infectious diseases and healthcare. His scholarly profile, technical capabilities, peer-review activity, and interdisciplinary publications collectively establish a credible foundation for consideration for the Best Researcher Award.[1]

References

  1. Google Scholar. (n.d.). Google Scholar profile: Javed Aalam, user ID o66_FAoAAAAJ. https://scholar.google.com/citations?user=o66_FAoAAAAJ&hl=en
  2. Elsevier. (n.d.). Scopus author details: Javed Aalam, Author ID 56472832900. Scopus. https://www.scopus.com/pages/authors/56472832900
  3. Aalam, J., Shah, S. N. A., & Parveen, R. (2025). An extensive review on infectious disease diagnosis using machine learning techniques and next generation sequencing: State-of-the-art and perspectives. Computers in Biology and Medicine, 189, 109962. https://doi.org/10.1016/j.compbiomed.2025.109962
  4. Shah, S. N. A., Aalam, J., & Parveen, R. (2026). Deep learning approaches to enhance lung cancer diagnosis using next generation sequencing: State of the art. Archives of Computational Methods in Engineering, 33(2), 2175–2203. https://link.springer.com/article/10.1007/s11831-025-10357-x
  5. Aalam, J., Shah, S. N. A., & Parveen, R. (2025). Personalized healthcare services for assisted living in healthcare 5.0. Ambient Assisted Living, 203–222. https://doi.org/10.1201/9781003570134-11