Tanvir Alam | Hamad Bin Khalifa University
Hamad Bin Khalifa University


Tanvir Alam

Dr. Tanvir Alam

Assistant Professor
Information & Computing Technology
College of Science and Engineering

  • Phone+974 44542277
  • Office locationA 161, 1st floor, LAS Building


Dr.Tanvir Alam’s work has been centered on biomedical discoveries using artificial intelligence and machine learning techniques in big data platform. His current research focusing on long non-coding RNAs, short RNAs, and their transcription regulation to understand how these genes are involved in different diseases and their function in cellular process using next-generation sequencing data.

He is also interested in protein-protein interactions, which are involved in cell adhesion and cancer metastasis. He is also developing knowledge-based methods to understand the genotype-phenotype relationship.


Research Interests

  • Machine Learning & Data Mining
  • Text Mining
  • Bioinformatics
  • Transcription Regulation
  • Long non-coding RNA


Assistant Professor

Hamad Bin Khalifa University; Qatar

2018 - Present
  • Data Scientist

    Saudi Telecom Company; Saudi Arabia

  • Visiting Scholar

    RIKEN; Japan

  • Senior Software Engineer

    AfriGIS ; South Africa

  • Lecturer

    Department of Computer Science; State University of Bangladesh; Bangladesh



Ph.D. in Computer Science

King Abdullah University of Science and Technology; Saudi Arabia

  • MSc in Computer Science

    King Abdullah University of Science and Technology; Saudi Arabia

  • BSc in Computer Science & Engineering

    Bangladesh University of Engineering & Technology; Bangladesh


Selected Publications

  • miRCOVID-19: Potential Targets of Human miRNAs in SARS-CoV-2 for RNA-Based Drug Discovery.

    A­lam T, Lipovich L. Non-coding RNA, 2021. https://doi.org/10.3390/ncrna7010018

  • Risk Factors and Comorbidities Associated to Cardiovascular Disease in Qatar: A Machine Learning based Case-Control Study.

    Al-Absi HRH, Refaee MA, Rehman AU, Islam MT, Belhaouari SB, Alam T. IEEE Access, 2021. https://doi.org/10.1109/ACCESS.2021.3059469

  • DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only.

    Islam MT, Al-Absi HRH, Ruagh E, Alam T. IEEE Access, 2021. https://doi.org/10.1109/ACCESS.2021.3052477

  • Comparative transcriptomics of primary cells in vertebrates.

    Alam T, Agrawal S, Severin J, Young RS, Andersson R, Arner E, Hasegawa A, Lizio M, Ramilowski J, Abugessaisa I, Ishizu Y, Noma S, Tarui H, Taylor MS, Lassmann T, Itoh M, Kasukawa T, Kawaji H, Marchionni L, Sheng G, Forrest AR, Khachigian LM, Hayashizaki LM, Carninci P, de Hoon M. Genome Research, 2020. http://www.genome.org/cgi/doi/10.1101/gr.255679.119

  • Towards Preparing a Knowledgebase to Explore Potential Drugs and Biomedical Entities Related to COVID-19.

    Khan JY, Khan JY, Khondaker MTI, Hoque IT, Al-Absi HRH, Guler R, Alam T, Rahman MS. JMIR Medical Informatics, 2020. https://doi.org/10.2196/21648

  • Machine learning models reveal key performance metrics of football players to win matches in the Qatar Stars League.

    Al-Mulla J, Alam T. IEEE Access, 2020. https://doi.org/10.1109/ACCESS.2020.3038601

  • Deep Learning in LncRNAome: Contribution, Challenges and Perspectives.

    Alam T, Al-Absi HRH, Scheimer S. Non-Coding RNA, 2020. https://doi.org/10.3390/ncrna6040047

  • Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner.

    Khondaker MTI, Khan JY, Alam T, Rahman MS. IEEE Access, 2020. https://doi.org/10.1109/ACCESS.2020.3021658

  • Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs.

    Alam T, Alazmi M, Naser R, Huser F, Momin AA, Astro V, Hong S, Walkiewicz KW, Canlas CG, Huser RI, Ali AJ, Merzaban J, Adamo A, Jaremko M, Jaremko L, Bajic VB, Gao X, Arold ST. Bioinformatics, 2019. https://doi.org/10.1093/bioinformatics/btz703

  • Transcriptional landscape of Mycobacterium tuberculosis infection in macrophages

    Scientific Reports volume 8, Article number: 6758 (2018), doi:10.1038/s41598-018-24509-6

    Roy S, Schmeier S, Kaczkowski B, Arner E, Alam T, Ozturk M, Tamgue O, Parihar SP, Kawaji H, Itoh M, Lassmann T, Carninci P, Hayashizaki Y, Forrest ARR, Guler R, Bajic VB, Brombacher F, Suzuki H .

  • The FANTOM5 integrated expression atlas of miRNAs and their promoters

    Nature Biotechnology 2017, doi:10.1038/nbt.3947

    Rie DD, Abugessaisa I, Alam T, Arner E, Arner P, Ashoor H, Åström G, Babina M, Bertin N, Burroughs AM,Daub CO, Detmar M, Deviatiiarov R, Fort A, Goldowitz D, Guhl S, Harshbarger J, Hasegawa A, Hashimoto K, Heutink P, Huang E, Klinken P, Lassmann T, Lecellier C, Lee W, Lizio M, Makeev V, Mathelier A, Medvedeva YA, Mungall C, Noma S, Ohshima M, Persson H, Roudnicky F, Sætrom P, Severin J, Summers KM, Tarui H, Vitting-Seerup K, Wells C, Winteringham L, Yamaguchi Y, Kawaji H, Sandelin A, Rehli M, the FANTOM consortium, Hayashizaki Y, Carninci P, Forrest ARR, HoonMJLde.

  • DES-ncRNA: A knowledgebase for exploring information about human micro and long non-coding RNAs based on literature-mining

    RNA Biology, 2017, doi:10.1080/15476286.2017.1312243

    Salhi A, Essack M, Alam T, Bajic VP, Ma L, Radovanovic A, Marchand B, Schmeier S, Zhang Z, Bajic VB.

  • An atlas ofhumanlong non-coding RNAs reveals their heterogeneity and evidence of their widespread function

    Nature 2016, doi:10.1038/nature21374

    Hon CC, Ramilowski JA, Harshbarger J, Bertin N, Rackham OJL, Gough J, Denisenko E, Schmeier S, Poulsen TM, Severin J, Lizio M, Kawaji H, Kasukawa T, Itoh M, Burroughs AM, Noma S, Djebal Si, Alam T, Medvedeva YA, Testa AC, Lipovich L, Yip CW, Abugessaisa I,Mendez M, Hasegawa A, Tang D, Lassmann T, Heutink P, Babina M, Wells CA, Kojima S, Nakamura Y, Suzuki H, Daub CO, HoonMJLde, Arner E, the FANTOM consortium, Hayashizaki Y, Carninci P,Forrest ARR.

  • FARNA: Knowledgebase of Annotated Functions of Non-coding RNA Transcripts

    Nucleic Acids Research 2016, doi:10.1093/nar/gkw973

    Alam T, Uludag M, Essack M, Salhi A, Ashoor H, Hanks JB, Kapfer C, Mineta K, Gojobori T, Bajic VB.

  • TcoF-DB v2: Update of the database of transcription cofactors and transcription factor interactions

    Nucleic Acids Research 2016, doi:10.1093/nar/gkw1007

    Schmeier S, Alam T, Essack M, Bajic VB.

  • Insights into the Transcriptional Architecture of Behavioral Plasticity in the Honey Bee Apismellifera

    Scientific Reports 2015 Jun 15;5:11136. doi: 10.1038/srep11136

    Khamis, AM, Hamilton AR, Medvedeva YA, Alam T, Alam I, Essack M, Umylny B, Jankovic BR, Naeger NL, Suzuki M, Harbers M, Robinson GE, Bajic VB.

  • Redefining the transcriptional regulatory dynamics in classical and alternative activated macrophage by deepCAGE transcriptomics

    Nucleic Acids Research 2015 Aug 18;43(14):6969-82. doi: 10.1093/nar/gkv646

    Roy S, Schmeier S, Arner E, Alam T, Parihar SP, Ozturk M, Tamgue O, Kawaji H, de Hoon MJ, Itoh M, Lassmann T, Carninci P, Hayashizaki Y, Forrest AR, Bajic VB, Guler R, Consortium FANTOM, Brombacher F, Suzuki H.

  • Promoter analysis reveals globally differential regulation of human long non-coding RNA and protein-coding genes

    PLoS One 2014 Oct 2;9(10):e109443. doi: 10.1371/journal.pone.0109443. eCollection 2014

    Alam T, Medvedeva YA, Jia H, Brown JB, Lipovich L, Bajic VB.

  • How to find a leucine in a haystack? Structure, ligand recognition and regulation of leucine-aspartic acid (LD) motifs

    Biochemical Journal 2014 Jun 15;460(3):317-29. doi: 10.1042/BJ20140298

    Alam T, Alazmi M, Gao X, Arold ST.