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Prof. Asim Bikas Das

Associate Professor

Department of Biotechnology

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Information

Room No: 426 +91-870-2462899 asimbikas@nitw.ac.in https://asimbikas.wixsite.com/asimbikas Bio Sketch

    Key Notes

    • Journal(s): 20
    • Conference(s): 17
    • Book Chapter(s): 4
    • PhD: Current - 4  Awarded - 2
    • Event(s) Organized:  Workshop - 1

    41

    PUBLICATIONS

    6

    DOCTORAL STUDENTS

    4

    PROJECTS

    Research Areas

    AI and Precision Medicine
    Computational Genomics
    Network Systems Biology
    EDUCATION QUALIFICATION
    Degree Institute Year
    Doctor of Philosophy Indian Institute of Technology Guwahati 2012
    Master of Technology Birla Institute of Technology and Science Pilani, Pilani, Rajasthan, India 2007
    Bachelor of Technology Maulana Abul Kalam Azad University of Technology (formerly West Bengal University of Technology), Kolkata, India 2005
    COURSES HANDLED
    Course L-T-P Credit Degree Level
    Biology for Engineers(BT1161) 2-0-0 2 UG
    Quantitative Biology(BT16022) 3-0-0 3 PG
    Genomic Data Analysis(BT463) 3-0-0 3 UG
    Molecular and Cellular Biology(BT16003) 3-0-2 4 PG
    Recombinant DNA Technology(BT16021) 3-0-0 3 UG, PG
    Design Principles Living Systems(BT281) 2-0-0 2 UG
    Biostatistics and Quantitative Biology(BT5103) 3-0-0 3 PG
    Medical Biotechnology(BT5170) 3-0-0 3 UG, PG
    RESEARCH IDs
    ORCID
    ORC ID
    Scopus
    SCOPUS ID
    PUBLICATIONS
    Journal(s)
    Biologically explainable multi-omics feature demonstrates greater learning potential by identifying tissue of origin, stages, and subtypes for Pan-Cancer Classification, By Sana Munquad, Bikash Kumar Dash, Sayan Sengupta, Vishal Singh, Yerra Ushakiran, Asim Bikas Das* , Nature, Scientific Reports , vol.15, pp.40627, 2025
    Uncovering the subtype-specific disease module and the development of drug response prediction models for glioma, By Sana Munquad, Asim Bikas Das*, Cell Press , Heliyon, vol.10, pp.e27190, 2024
    Network medicine and artificial intelligence in cancer precision therapy: path to prevent drug-induced toxic side effect, By Asim Bikas Das*, Elsevier, Current Opinion in Toxicology, vol., pp., 2024
    DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping, By Sana Munquad, Asim Bikas Das*, Springer Nature, BioData Mining, vol.16, pp.32, 2023
    A deep learning-based framework for supporting clinical diagnosis of glioblastoma subtypes, By Sana Munquad, Tapas Si, Saurav Mallik, Asim Bikas Das* and Zhongming Zhao*, Frontiers, Frontiers in Genetics, vol.13, pp.855420, 2022
    Subtyping and Grading of Lower-grade Gliomas Using Integrated Feature Selection and Support Vector Machine, By Sana Munquad, Tapas Si, Saurav Mallik, Aimin Li, Asim Bikas Das* , 2022, elac025, 1-14, oxford university press, Briefings in Functional Genomics, vol.21, pp.408–421, 2022
    Lung disease network reveals impact of comorbidity on SARS-CoV-2 infection and opportunities of drug repurposing, By Asim Bikas Das* , Springer Nature, BMC Medical Genomics, vol.14, pp.226, 2021
    Antibody-based biosensor to detect oncogenic splicing factor Sam68 for the diagnosis of lung cancer, By B. Sumithra, V.S.P.K. Sankara Aditya Jayanthi, Hari Chandana Manne, Rashmika Gunda. Urmila Saxena*, Asim Bikas Das*, Springer, Biotechnology Letters, vol.42, pp.2501 -2509, 2020
    Grade-specific diagnostic and prognostic biomarkers in breast cancer, By VSPK Sankara Aditya Jayanthi, Asim Bikas Das*, Urmila Saxena* , Elsevier, Genomics, vol.112, pp.388-396, 2020
    Role of the ATP-dependent chromatin remodeling enzyme Fun30/Smarcad1 in the regulation of mRNA splicing, By Qiankun Niu, Wei Wang , Zhe Wei , Boseon Byeon , Asim Bikas Das , Bo-Shiun Chen , Wei-Hua Wu , Elsevier, Biochemical and Biophysical Research Communications, vol.526, pp.453-458, 2020
    Small-world networks of prognostic genes associated with lung adenocarcinoma development, By Asim Bikas Das* , Elsevier, Genomics, vol.112, pp.4078-4088, 2020
    Fabrication of an immunosensor for quantitative detection of breast cancer biomarker UBE2C, By VSPK. Sankara Aditya Jayanthi, Asim Bikas Das, Urmila Saxena , RSC, RSC Advances, vol.9, pp.16738, 2019
    A comprehensive study on genome-wide coexpression network of KHDRBS1/Sam68 reveals its cancer and patient-specific association, By B.Sumithra, Urmila Saxena, Asim Bikas Das*, Nature, Scientific Reports , vol.9, pp.11083, 2019
    Disease association of human tumor suppressor genes, By Asim Bikas Das*, Springer, Molecular Genetics and Genomics, vol.294, pp.931-940, 2019
    Cancerous perturbations within the ERK, PI3K/Akt,and Wnt/b-catenin signaling network constitutively activate inter-pathway positive feedback loops, By Rahul Rao Padala, Rishabh Karnawat, Satish Bharathwaj Viswanathan, Abhishek Vijay Thakkar and Asim Bikas Das*, RSC, Molecular BioSystems ( featured in cover page of the journal), vol.13, pp.830 - 840, 2017
    Recent advances in biosensor development for the detection of cancer biomarkers, By VSPK Sankara Aditya Jayanthi, Asim Bikas Das, Urmila Saxena, Elsevier, Biosensors and Bioelectronics, vol.91, pp.15-23, 2017
    Alternative splicing within the Wnt signaling pathway: role in cancer development,, By B. Sumithra, Urmila Saxena, Asim Bikas Das*, Springer, Cellular Oncology , vol.39, pp.1-13, 2016
    Nanomaterials towards fabrication of cholesterol biosensors: Key roles and design approaches, By Urmila Saxena, Asim Bikas Das , Elsevier, Biosensors and Bioelectronics, vol.75, pp.196-205, 2016
    Human Recombinant Cripto-1 Increases Doubling Time and Reduces Proliferation of HeLa Cells Independent of Pro-proliferation Pathways, By Asim Bikas Das, Pojul Loying, Biplab Bose, Elsevier, Cancer Letters, vol.318, pp.189-198, 2012
    Status of Stat3 in an ovalbumin-induced mouse model of asthma: Analysis of the role of Socs3 and IL-6, By Bholanath Paul, Vani Mishra, Bhushan Chaudhury, Anjali Awasthi, Asim Bikas Das, Urmila Saxena, Ashok Saxena, Lalit K. Chauhan, Pradeep Kumar, Sheikh Raisuddin , Karger, International Archives of Allergy and Immunology, vol.148, pp.99-108, 2009
    Conference(s)
    A Network-based Framework Connecting Cancer Cell Lines and Patients for Personalized Drug Response Prediction in Lung Cancer By Ushakiran Yerra, Asim Bikas Das , XIVth Annual Conference of the Indian Academy of Biomedical Sciences (IABSCON-2026), BITS Pilani, Goa Campus, and IIT Goa, 2026
    AI-based attention mechanism reveals the role of region-specific DNA methylation for survival prediction in breast cancer By Sayan Sengupta, Asim Bikas Das , Artificial Intelligence and Pharmaceutical Medicine (AIPM-India), IIT Madras, 2025
    Artificial intelligence and network medicine-based framework to support subtype-specific precision therapy for gliomas By Asim Bikas Das, Sana Munquad , Basel Computational Biology Conference, SIB, switzerland, 2025
    AI-driven drug response prediction in lung cancer for precision therapy, at IIT Hyderabad By Ushakiran Yerra, Vishal Singh, Sana munquad, Asim Bikas Das, Horizons in Structural and Computational Biology (HSCB) , 2025
    Development of deep-learning based diagnostic tools for glioma subtyping By Sana Munquad, Asim Bikas Das, Great Lakes Bioinformatics Conference 2023, 15th conference, hosted by the International Society for Computational Biology (ISCB), at McGill University, 2023
    Network medicine and Artificial intelligence: A New Frontier in Cancer precision therapy By Asim Bikas Das , National Bioengineering Conference 2023 (NBC 2023), 2023
    Principal Component Analysis to classify early-stage cancer By Daksh Pratap Singh Pamar, Asim Bikas Das , 5th IITM - Tokyo Tech Joint Symposium on “Current trends in Bioinformatics: Big data analysis, Machine Learning and Drug Design, 2020
    Tree-based classifier to predict brain cancer using whole-genome expression profile By Sana Munquad, Asim Bikas Das, 5th IITM - Tokyo Tech Joint Symposium on “Current trends in Bioinformatics: Big data analysis, Machine Learning and Drug Design, 2020
    Genome-wide screening to identify driver mutations leading to the development of Astrocytoma to glioblastoma By Sana Munquad, Asim Bikas Das , World Congress on Biotechnology-2019, Current Research & Innovations in Biotechnology, 2019
    Network Theory to Understand Biology of Complex Diseases By Asim Bikas Das , 11th All India Peoples’ Technology Congress, 2017
    Microarray Data Analysis to Identify Prognostic Breast Cancer Biomarkers By VSPK Sankara Aditya J, Asim Bikas Das, Urmila Saxena , International Conference On "Emerging Biotechnologies", 2016
    Designing Splice Isoform-Specific Nucleic Acid Based Biosensor for Detection of Breast Cancer By Urmila Saxena, Asim Bikas Das, NGS' 2016 Genome Annotation, 2016
    Potential Biomarkers for Early Detection of Breast Cancer Through In Silico Approaches By VSPK Sankara Aditya J, Asim Bikas Das , 9th Indo Global Summit on Cancer Therapy, 2015
    Transcriptional regulation and protein-protein interaction networks of human Oncogenic splicing factor Sam68 By Sumithra.B, Asim Bikas Das, International conference on Stem cells and Cancer (ICSCC), 2015
    Oncogenic Sam68 links Signaling Pathways and Alternative Splicing By Sumithra.B, Asim Bikas Das, 9th Indo Global Summit on Cancer Therapy, Hyderabad, 2015
    Role of ATP-dependent chromatin remodeling enzyme Fun30 in co-transcriptional pre-mRNA splicing By Qiankun Niu, Wei Wang, Boseon Byeon, Yong Li, Asim Bikas Das, Yeast Genetics Meeting, University of Washington, 2014
    Heterologous Expression of Human Oncofetal Protein Cripto-1 By Asim Bikas Das, Biplab Bose , 77th Annual meeting of Society of Biological Chemists (India), IIT Madras, 2008
    Book Chapter(s)
    Artificial intelligence powered drug response prediction against cancer By Yerra Ushakiran, Asim Bikas Das* in Revolutionizing Drug Development: Harnessing AI and Computational Biology, Elsevier(Academic Press) , Edited Book , 2026
    AI and biomedical engineering in chronic disease diagnosis: A multimodal perspective By Vishal Singh, Asim Bikas Das* in Advancing Early Diagnosis in Chronic Diseases: Tools, Techniques, and Technologies, Elsevier(Academic Press) , Edited Book, 2026
    Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer By Vidya Moni, Shantosh Cumarasurier, Asim Bikas Das* in Artificial Intelligence and Computational Dynamics for Biomedical Research, De Gruyter, Edited Book , 2022
    Network Biology for Biomarker Discovery and Therapy in Cancer By Asim Bikas Das* in Genomic and Epigenomic Biomarkers of Toxicology and Disease: Clinical and Therapeutic Actions, Wiley, Edited Book , 2022
    PROJECT / CONSULTANCY
    Development of biologically informed multi-omics deep learning framework for clinical diagnosis cancer subtypes for precision therapy
    Role: Principal Investigator
    Type: Research
    Sponsor: IIT Kharagpur AI4ICPS I-Hub Foundation
    Project Cost (INR): 1903088
    Date of Commencement: 06-03-2024   Date of Completion: 06-03-2026
    Duration: 24 Months
    Status: Completed
    Transcriptome to graph embedding: Development of a framework for predicting stage-specific biomarker in lung cancer
    Role: Principal Investigator
    Type: Research
    Sponsor: SERB (Mathematical Research Impact-Centric Support)
    Project Cost (INR): 660000
    Date of Commencement: 24-02-2022   Date of Completion: 23-02-2025
    Duration: 36 Months
    Status: Completed
    Synthesis and anti-cancer activity of sugar-based natural saffloflavonesides and their heterocyclic analogs
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: SERB(Core research grant)
    Project Cost (INR): 3806240
    Date of Commencement: 07-03-2018   Date of Completion: 07-03-2021
    Duration: 36 Months
    Status: Completed
    Signaling Network of Transcriptional Regulation in Cancer and Identification of Potential Target for Therapy
    Role: Principal Investigator
    Type: Research
    Sponsor: NIT Warangal
    Project Cost (INR): 500000
    Date of Commencement: 01-01-2014   Date of Completion: 01-01-2016
    Duration: 24 Months
    Status: Completed
    RESEARCH FELLOWS / PhD STUDENTS
    Current PhD Students
    Sayan Sengupta
    Area of Research: Network medicine and computational Genomics
    Thallapally Vamshi
    Area of Research: AI in precision therapy
    Vishal Singh
    Area of Research: Explainable AI in computational Genomics
    Yerra Ushakiran
    Area of Research: Cancer genomics
    Previous PhD Students
    Sana Munquad (2023)
    Area of Research: AI, cancer diagnosis and precision therapy
    Sumithra. B (2020)
    Area of Research: Cancer genomics and network biology
    CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME / GIAN
    AI-Enabled Genomic Data Analysis, Gene Cloning & Protein Expression
    27-Mar-2026 → 01-Apr-2026
    Event Type: Workshop
    Role: Coordinator
    Funding Agency: Self‑sponsored
    AWARDS AND ACCOLADES
    2026
    Springer Nature Appreciation Award to Ph.D. student Ms. Usha K at IABSCON-2026
    2025
    Best poster award (1st prize) to Ph.D. student Ms.Usha K at HSCB-2025
    2024
    Editorial Board member, Discovery Oncology
    Editorial Board member, Scientific Reports
    2017
    Article featured in cover page of the Journal (Molecular Biosystem)
    2016
    Travel grant from CRG, Spain
    2015
    Best poster award (1st prize) to Ph.D. student Ms.Sumithra B. at ICSCC-2015.
    ADDITIONAL RESPONSIBILITIES
    •  Committee member to organize the Summer Internship Programme (SIP) - 2026 (Continuing from March, 2026)
    •  Member of institute level slection committee for the award of Best B.Tech. project (October, 2025 - November, 2025)
    •  Faculty advisor IEEE Engineering in Medicine and Biology Society Student Branch Chapter at NIT Warangal (Continuing from July, 2025)
    •  Member of curriculum development and monitoring committee (Continuing from July, 2025)
    •  Chairperson to prepare institute Annual Report for year of 2023-24 (October, 2024 - December, 2024)
    •  Committee member to suggest the modalities of e-master program (September, 2024 - December, 2024)
    •   Convener Departmental Academic Review Committee (August, 2024 - July, 2025)
    •  Member students grievance redressal committee (March, 2024 - June, 2025)
    •  Committee member for verification of fixed assets and consumable (September, 2023 - October, 2023)
    •   Coordinator Academic audit (August, 2023 - July, 2025)
    •  Faculty Advisor 1st and 2nd year M.Tech ( Biotechnology) (August, 2023 - July, 2025)
    •  Member of faculty team to develop the institute level Design Thinking and Tinkering Lab (DTTL) (June, 2023 - June, 2024)
    •  Purchase committee member Department of chemical engineering (May, 2023 - June, 2025)
    •  Faculty-in-charge institute annual report and Department Brochures (August, 2022 - July, 2023)
    •   Lab-in-charge Genetic Engineering lab (August, 2022 - December, 2026)
    •  Faculty Advisor 1st year student (July, 2019 - June, 2021)
    •  Warden 1k hostel (July, 2019 - June, 2022)
    •  Faculty Advisor 4th year B.Tech (Biotechnology) student (July, 2018 - July, 2022)
    •  Member of DAC-UG (July, 2018 - July, 2020)
    •  Member of the Institute chemical and glassware rate Contract Committee (July, 2015 - July, 2016)
     Last updated on April 22, 2026