PROFILE

As a Professor, Head of the Department of Biotechnology and Associate Dean of Alumni Affairs at Delhi Technological University (DTU), Dr. Yasha Hasija has dedicated her career to advancing biotechnology through teaching, research, and leadership. She has published over 150 research articles and review papers in esteemed national and international journals, with her work being cited 1,966 times, holding an h-index of 20, and an i10-index of 36. Dr. Hasija serves on the Editorial Board of numerous international journals and has made significant contributions to Biotechnology and Bioinformatics as an author and editor of notable books.

Her contributions have been recognized with several prestigious awards, including the Government of India's Department of Science and Technology Award for attending the Nobel Laureates' meeting in Lindau, Germany, and the Human Gene Nomenclature Award at the Human Genome Meeting in Montpellier, France. She has also received Research Excellence Awards at DTU for seven consecutive years (2018-2025).

As a Project Investigator, Dr. Hasija leads several sponsored research projects funded by DST, CSIR, and DBT. She has delivered over 20 invited talks at prestigious institutions and actively supervises B.Tech, M.Tech, M.Sc., and Ph.D. students at DTU. Her research areas include genome informatics, the integration of genome-scale data for systems biology, and machine learning applications in healthcare.

Personal Details:

Prof. Yasha Hasija, Ph.D. 

  • B.Tech (Biotechnology), M.Tech (Biotechnology), PhD (Biotechnology/ Bioinformatics)
  • Professor (2021-Present)
  • Specialization: Genome Informatics, Human Disease Genomics and Interactomics, Genome Annotation, Integration of genome-scale data for Systems Biology and Personalized Genomics

PREVIOUS POSITIONS/ EXPERIENCE

INSTITUTION AND LOCATION

POSITION

YEAR(s)

Department of Biotechnology, Delhi Technological University

(Formerly Delhi College of

Engineering)

Professor

August 24, 2021 – Present

Department of Biotechnology, Delhi Technological University

(Formerly Delhi College of

Engineering)

Associate Professor

August 24, 2018 – August 23, 2021

Department of Biotechnology, Delhi Technological University

(Formerly Delhi College of

Engineering)

Assistant Professor

July 28, 2010 - August 24, 2018

TEACHING (COURSES TAUGHT)

Fundamentals of Computation Biology

Introduction to Bioinformatics

Advances in Bioinformatics

ML in Bioinformatics

Bulk Data Mining and Retrieval

MEMBERSHIPS

  1. Life member, Indian Society of Human Genetics (ISHG) (Membership No. L/1459/2009).
  2. Life member, Society of Biological Chemists (SBC) (Life Membership No. 2227).
  3. Life member, The Indian Science Congress Association (Membership No. L17164).
  4. Member, International Association of Engineers (IAENG) (Membership No. 121131)
  5. Member, Delhi Node, National Network for Mathematical and Computational Biology (NNMCB) funded by the Science and Engineering Research Board, Government of India.

PUBLICATIONS

  1. Bora, Shivangi, Priyanka Rani Paul, Samiksha Kukal, Manish Kumar Mishra, Yasha Hasija, and Ritushree Kukreti. "In?vitro Assessment of BCRP?Mediated Efflux of Antiseizure Medications in Human Blood?Brain Barrier Cell Model." Journal of Biochemical and Molecular Toxicology 39, no. 11 (2025): e70570.
  2. Bisht, Akansha, and Yasha Hasija*. "Revolutionizing neonatal health: India’s journey from assays to advanced genetics." Journal of Applied Genetics (2025): 1-21. [*Corresponding Author].
  3. Yadav, Aman, and Yasha Hasija*. "Identification of potential alternatives for Isoniazid: An in silico Molecular Dynamics Study." Journal of Molecular Graphics and Modelling (2025): 109158. [*Corresponding Author].
  4. Jha, Medha, and Yasha Hasija*. "Development and validation of AI-driven multi-omics language models for cancer genomics: A comprehensive review." Computational Biology and Chemistry (2025): 108662. [*Corresponding Author].
  5. Dogra, Atika, and Yasha Hasija*. "Unraveling prognostic biomarkers in oral squamous cell carcinoma: An approach based on explainable artificial intelligence." Cancer Genetics (2025). [*Corresponding Author].
  6. Sharma, Bhargavi, Sonam Rewari, and Yasha Hasija*. "Nanogap Sequestered Dielectric Modulated Gate Engineered Carbon Nanotube Bio-FET based Bio-Sensor." ECS Journal of Solid State Science and Technology 14, no. 4 (2025): 047014. [*Corresponding Author].
  7. Yadav, Khushi, and Yasha Hasija*. "Integrated analysis of gene expressions and targeted mirnas for explaining crosstalk between oral and esophageal squamous cell carcinomas through an interpretable machine learning approach." Medical & Biological Engineering & Computing 63, no. 2 (2025): 483-495. [*Corresponding Author]
  8. Kapoor, Yagyesh, and Yasha Hasija*. "Continuous glucose monitoring using machine learning models and IoT device data: A meta-analysis." Technology and Health Care 33, no. 1 (2025): 577-591. [*Corresponding Author]
  9. Kumari, N., N. Bhavesh, and Yasha Hasija*. "Elucidating the Effects of Aromatic Mutations on the RNA Binding Efficacy of CELF2 Protein." Molecular Biology 58, no. 6 (2024): 1293-1311. [*Corresponding Author]
  10. Bhowal, Bidisha, Yasha Hasija*, and Sneh L. Singla-Pareek. "Tracing the intraspecies expansion of glyoxalase genes and their expanding roles across the genus Oryza." Functional & Integrative Genomics 24, no. 6 (2024): 1-26. [*Corresponding Author]
  11. Rai, Priya, and Yasha Hasija*. "Ionic liquids for stability of ker6, a potential keratinase for human hair keratin extraction." Journal of Molecular Liquids 415 (2024): 126365. [*Corresponding Author]
  12. Kapoor, Yagyesh, and Yasha Hasija*. "Exploring Phytochemicals as Potential Inhibitors of Cancer Cell Metabolic Pathways: A Computational Study." Medicinal Chemistry (2024). [*Corresponding Author]
  13. Sharma, Bhargavi, Shivani Yadav, Sonam Rewari, and Yasha Hasija*. "DM-PA-CNTFET Biosensor for Breast Cancer Detection: Analytical Model." ECS Journal of Solid State Science and Technology 13, no. 8 (2024): 087004. [*Corresponding Author]
  14. Tanwar, Nakul, and Yasha Hasija*. "Explicate molecular landscape of combined pulmonary fibrosis and emphysema through explainable artificial intelligence: a comprehensive analysis of ILD and COPD interactions using RNA from whole lung homogenates." Medical & Biological Engineering & Computing 62, no. 8 (2024): 2557-2570. [*Corresponding Author]
  15. Kumari M, Hasija Y*, Trivedi R. Acute and sub-acute metabolic change in different brain regions induced by moderate blunt traumatic brain injury. Neuroreport. 2023 Dec 4. [*Corresponding Author]
  16. Kritika Sharma, Neeru Saini, Yasha Hasija*. Identifying the mitochondrial metabolism network by integration of machine learning and explainable artificial intelligence in skeletal muscle in type 2 diabetes. Mitochondrion. 2023 Nov 29 [*Corresponding Author].
  17. Shivangi Bora, Ritushree Kukreti, Yasha Hasija*. An in-silico analysis predicting the impact of coding single nucleotide polymorphisms (SNPs) in the human multidrug pump ABCG2. Human Gene. 2023 [*Corresponding Author].
  18. Debleena Guin, Yasha Hasija and Ritushree Kukreti*. Assessment of clinically actionable pharmacogenetic markers to stratify anti-seizure medications. The Pharmacogenomics Journal. 2023 23, 149–160.
  19. Rajkumar Chakraborty and Yasha Hasija* (2023). Utilizing Deep Learning to Explore Chemical Space for Drug Lead Optimization. Expert Systems With Applications. 2023 [*Corresponding Author].
  20. Sabita Rangra, Rajkumar Chakraborty, Yasha Hasija & Kamal Krishan Aggarwal. A cystatin C similar protein from Musa acuminata that inhibits cathepsin B involved in rheumatoid arthritis using in silico approach and in vitro cathepsin B inhibition by protein extract. Journal of Biomolecular Structure and Dynamics. 2023.
  21. Jaishree Meena and Yasha Hasija*. Rare deleterious mutations in Bruton's tyrosine kinase as biomarkers for ibrutinib-based therapy: an in silico insight. J Mol Model. 2023 Mar 29;29(4):120. [*Corresponding Author].
  22. Megha Kumari, Palkin Arora, Priyanka Sharma, Yasha Hasija*, Poonam Rana, Maria M Dsouza, Namas Chandra and Richa Trivedi. Acute metabolic alterations in the hippocampus are associated with decreased acetylation after blast induced TBI. Metabolomics 2023 Jan 12;19(1):5 [*Corresponding Author].
  23. Sabita Rangra, Rajkumar Chakraborty, Yasha Hasija and Kamal Aggarwal. A cystatin C similar protein from Musa acuminata that inhibits Cathepsin B involved in rheumatoid arthritis using in-silico approach and in vitro cathepsin B inhibition by protein extract. Journal of Biomolecular Structure and Dynamics. 2023.
  24. Yasha Hasija*. Editorial: Data Integration and Physiological Modelling. Frontiers in Physiology, Sec. Computational Physiology and Medicine 2022 [*Corresponding Author].
  25. Sidharth Bhasin, Megh Nadar, Yasha Hasija*. Epicatechin analogues may hinder Human Parainfluenza Virus infection by inhibition of hemagglutinin neuraminidase protein and prevention of cellular entry. Journal of Molecular Modeling. 2022 Sep 16;28(10):319. [*Corresponding Author].
  26. Rajkumar Chakraborty; Gourab Bhattacharje; Joydeep Baral; Bharat Manna; Jayati Mullick; Basavaraj S Mathapati; Priya Abraham; J Madhumathi; Yasha Hasija*; Amit Ghosh*; Amit Kumar Das*. In-silico screening and in-vitro assay show the antiviral effect of Indomethacin against SARS-CoV-2. Computers in Biology and Medicine. 2022 (147) [*Corresponding Author].
  27. Tanwee Das De, Punita Sharma, Sanjay Tevatiya, Charu Chauhan, Seena Kumari, Deepak Singla, Vartika Srivastava, Jyoti Rani, Yasha Hasija, Kailash C Pandey, Mayur Kajla, Rajnikant Dixit. Microbiome-Gut-Brain-Axis communication influences metabolic switch in the mosquito Anopheles culicifacies. Cells 2022 (11): 1798.
  28. Debleena Guin, Saroj Yadav, Priyanka Singh, Pooja Singh, Sarita Thakran, Samiksha Kukal, Neha Kanojia, Priyanka Rani Paul, Bijay Pattnaik, Viren Sardana, Sandeep Grover, Yasha Hasija, Luciano Saso, Anurag Agrawal, Ritushree Kukreti. Human genetic factors associated with pneumonia risk, a cue for COVID-19 susceptibility. Infection, Genetics and Evolution 2022 102 (2022) 105229.
  29. Jaishree Meena and Yasha Hasija*. Application of Explainable Artificial Intelligence in the Identification of Squamous Cell Carcinoma Biomarkers. Computers in Biology and Medicine. July 2022 146:105505 [*Corresponding Author].
  30. Rajkumar Chakraborty and Yasha Hasija*. Predicting protein intrinsically disordered regions by applying natural language processing practices. Soft Computing 2022 [*Corresponding Author].
  31. Manish Kumar Mishra, Samiksha Kukal, Priyanka Rani Paul, Shivangi Bora, Anju Singh, Shrikant Kukreti, Luciano Saso, Karthikeyan Muthusamy, Yasha Hasija and Ritushree Kukreti. Insights into Structural Modifications of Valproic Acid and Their Pharmacological Profile. Molecules. 2022 (27), 104.
  32. Kritika Sharma, Amit Chandra, Yasha Hasija and Neeru Saini*. MicroRNA-128 inhibits mitochondrial biogenesis and function via targeting PGC1α and NDUFS4. Mitochondrion. 2021 Sep;60:160-169.
  33. Samadrita Chatterjee, Rajkumar Chakraborty and Yasha Hasija*. Polymorphisms at site 469 of B-RAF protein associated with skin melanoma may be correlated with dabrafenib resistance: An in silico study. J Biomol Struct Dyn. 2021 Jul 19;1-16 [*Corresponding Author].
  34. Isha Sehrawat and Yasha Hasija*. Consensus Sequence Characterization Of Rnp-1 And Rnp-2 along with Base Stacking Interactions with Ribonucleuotide. Annals of the Romanian Society for Cell Biology. 2021 25(4): 17548 -17558 [*Corresponding Author].
  35. Richa Nayak and Yasha Hasija*. A hitchhiker’s guide to single-cell transcriptomics and data analysis pipelines. Genomics. Volume 113, Issue 2, March 2021. 606-619 [*Corresponding Author].
  36. Sarita Thakran, Debleena Guin, Pooja Singh, Priyanka Singh, Samiksha Kukal, Chitra Rawat, Saroj Yadav, Suman Kushwaha, Achal Srivastava, Yasha Hasija, Luciano Saso, Srinivasan Ramachandran, Ritushree Kukreti. Genetic landscape of common epilepsies: Advancing towards precision in treatment. International Journal of Molecular Sciences 2020. Oct 21; 21(20):7784.
  37. Rajkumar Chakraborty, Yasha Hasija*. Predicting MicroRNA sequence using CNN and LSTM stacked in Seq2Seq architecture. IEEE Transactions in Computational Biology and Bioinformatics (TCBB) 2020; 17(6):2183-2188 [*Corresponding Author].
  38. Debleena Guin, Jyoti Rani, Priyanka Singh, Shivangi Bora, Puneet Talwar, Sandeep Grover, Karthikeyan Muthusamy, K Satyamoorthy, C Adithan, S. Ramachandran, Luciano Saso, Yasha Hasija, Ritushree Kukreti. Global text mining and development of pharmacogenomic knowledge resource for precision medicine. Frontiers in Pharmacology 2019 10: 1-11.
  39. Richa Virmani, Andaleeb Sajid, Anshika Singhal, Mohita Gaur, Jayadev Joshi, Ankur Bothra, Richa Garg, Richa Misra, Vijay Singh, Virginie Molle, Ajay Goel, Archana Singh, Vipin Kalia, Jung-Kul Lee, Yasha Hasija, Gunjan Arora, and Yogendra Singh. The Ser/Thr protein kinase PrkC imprints phenotypic memory in Bacillus anthracis spores by phosphorylating the glycolytic enzyme enolase. Journal of Biological Chemistry 2019 (Accepted).
  40. Avni Mehta, Yasha Hasija*. Meta-analyses of associations of obesity with risk of melanoma and acne based on case-control studies. Biomedical Dermatology 2019 3:3 [*Corresponding Author] (Accepted).
  41. Kirti Bhadhadhara, Yasha Hasija*. ARD-PRED: An in silico tool for predicting age related disorder associated proteins. Soft Computing 2019 [*Corresponding Author].
  42. Rajkumar Chakraborty, Himani Gupta, Razia Rahman and Yasha Hasija*. In Silico analysis of nsSNPs in ABCB1 gene affecting breast cancer associated protein P-glycoprotein (P-gp). Computational Biology and Chemistry 2018 Dec; 77:430-441 [*Corresponding Author].
  43. Razia Rahman and Yasha Hasija*. Exploring vitiligo susceptibility and management: a brief review. Biomedical Dermatology 2018 2:20 [*Corresponding Author].
  44. Richa Virmani, Yogendra Singh, Yasha Hasija*. GroEL mediates folding of Bacillus anthracis Serine/Threonine protein kinase, PrkC. Indian Journal of Microbiology 2018  [*Corresponding Author].
  45. Pragya Nagar and Yasha Hasija*. Metagenomic Approach in Study and Treatment of Various Skin Diseases: A Brief Review. Biomedical Dermatology 2018 2:19 [*Corresponding Author].
  46. Richa Virmani, Yasha Hasija*, Yogendra Singh. Effect of homocysteine on biofilm formation by mycobacteria. Indian Journal of Microbiology 2018 Sep;58(3):287-293 [*Co-Corresponding Author] [PMID: 30013272].
  47. Tanwee Das De, Tina Thomas, Sonia Verma, Deepak Singla, Charu Chauhan, Vartika Srivastava, Punita Sharma, Seena Kumari, Sanjay Tevatiya, Jyoti Rani, Yasha Hasija, Kailash C Pandey, Rajnikant Dixit. A synergistic transcriptional regulation of olfactory genes drives blood feeding associated complex behavioral responses in the mosquito Anopheles culicifacies. Frontiers in Physiology 2018 May 23;9:577 [PMID: 29875685].
  48. Razia Rahman; Isha Sharma; Lokesh Kumar Gahlot; Yasha Hasija*. DermaGene and VitmiRS: a comprehensive systems analysis of genetic dermatological disorders. Biomedical Dermatology 2018 2:18 [*Corresponding Author].
  49. Lakshay Bajaj, Himanshu Kumar and Yasha Hasija*. Automated System for Prediction of Skin Disease Using Image Processing and Machine Learning. International Journal of Computer Applications 2018 [*Corresponding Author].
  50. Razia Rahman, Lokesh Gahlot and Yasha Hasija*. miRACA: A database for miRNAs associated with Cancers and Age Related Disorders (ARD). Frontiers in Biology 2018 13(1): 36-50 (Accepted as Cover Page Article) [*Corresponding Author].
  51. Tanwee Das De, Yasha Hasija and Rajnikant Dixit. Biogenic Amines in shaping mosquito behavior: A biomolecule having pharmacological significance. Journal of Chemical and Pharmaceutical Research 2018 9 (12).
  52. Tanwee Das De, Yasha Hasija, Rajnikant Dixit. Transcriptional responses of attractin gene in the mosquito Anopheles culicifacies: A synergistic neuro-olfactory regulation. Journal of Vector Borne Diseases 2018 9:577.
  53. Abhijit Maji, Richa Misra, Darshan B. Dhakan, Vipin Gupta, Nitish K. Mahato, Rituja Saxena, Parul Mittal, Nitin Thukral, Eshan Sharma, Anoop Singh, Richa Virmani, Mohita Gaur, Harshvardhan Singh, Yasha Hasija, Gunjan Arora, Anurag Agrawal, Anil Chaudhry, Jitendra P. Khurana, Vineet K. Sharma, Rup Lal, Yogendra Singh. Gut microbiome contributes to impairment of immunity in pulmonary tuberculosis patients by alteration of butyrate and propionate producers. Environmental Microbiology 2018 Jan;20(1):402-419 [PMID: 29322681].
  54. Isha Srivastava; Pooja Khurana; Mohini Yadav; Yasha Hasija*. An integrative system biology approach to unravel potential drug candidates for multiple age related disorders. BBA - Proteins and Proteomics 2017 1865 (12): 1729-1738  [*Corresponding Author] [PMID: 28807887].
  55. Isha Srivastava and Yasha Hasija*. STAT3 as novel drug target for multiple age related disorders: Docking and Simulation Analysis. Advances in Gerontology 2017 30(3): 427-435 [*Corresponding Author]
  56. Tanwee Das De, Punita Sharma, Charu Rawal, Seena Kumari, Sanjay Tavetiya, Jyoti Yadav, Yasha Hasija and Rajnikant Dixit. Sex specific molecular responses of Quick-To-Court protein in Indian malarial vector Anopheles culicifacies: Conflict of mating versus blood feeding behaviour. Heliyon 2017 Jul; 3(7) [PMID: 28765838]..
  57. Bharat Singh and Yasha Hasija*. Analysis of Osteoporosis Gene Interactome to Identify Heterogenic Genes and Pathways. New Horizons in Translational Medicine 2017 3(6): 277-283 [*Corresponding Author].
  58. Arpit Singh, Razia Rahman and Yasha Hasija*. Integration of DNA methylation data and gene expression data for Prostate Adenocarcinoma: A Proof of Concept. Current Bioinformatics 2017 12(5): 423-430 [*Corresponding Author].
  59. Sonam Arora, Salma Jamal, Sonam Gaba, Yasha Hasija and Vinod Scaria. Computational modeling of small molecule inhibitors of mitochondrial fusion. Current Bioinformatics 2017 12(6). 
  60. Kumar Gaurav and Yasha Hasija*. Comparative analysis of metabolic network of pathogens. Frontiers in Biology 2017 12(2): 139-150 [*Corresponding Author].
  61. Abhivyakti Srivastava; Mottadi Shiva; Priyanka Kumari; Yasha Hasija*.  Extensive computational analysis of chromosome 11. International Journal of Bioinformatics Research and Applications 2017 13(3): 242 – 263.
  62. Prateek Sukumar, Neha Kumari and Yasha Hasija*. Evidence and Positive Selection Test for Gene-loss Theory of Evolution. International Journal of Basic and Applied Biology (IJBAB) 2017 [*Corresponding Author].
  63. Mohini Yadav and Yasha Hasija*. Big Data: A Driver of Innovation in the 21st Century. Advances in Computer Science and Information Technology (ACSIT) 2017 [*Corresponding Author].
  64. Himanshi and Yasha Hasija*. Role of microRNAs in Genodermatoses. International Journal of Biotechnology and Biomedical Sciences (IJBBS) 2017 [*Corresponding Author].
  65. Prateek Sukumar, Disha Mandal and Yasha Hasija*. Development of a tool that create complex protein circle for a given inout protein. International Journal of Biotechnology and Biomedical Sciences (IJBBS) 2017 [*Corresponding Author].
  66. Lalita Mehra, Yasha Hasija, Gaurav Mittal. Therapeutic Potential of Alpha Ketoglutarate against Acetaminophen Induced Hepatotoxicity in Rats. Journal of Pharmacy and Bioallied Sciences 2016 8(4): 296-299 [PMID: 28216953]..
  67. Yashna Paul and Yasha Hasija*. Gene Prioritization by integrated analysis of protein structural and network topological properties for the protein-protein interaction network of neurological disorders. Scientifica 2016 [*Corresponding Author] [PMID: 27034906].
  68. Isha Srivastava, Lokesh Kumar Gahlot, Pooja Khurana, Yasha Hasija*. dbAARD & AGP: A Computational Pipeline for the Prediction of Genes associated with Age Related Disorders. Journal of Biomedical Informatics 2016 [*Corresponding Author] [PMID: 26856084]
  69. Monika Samant, Nidhi Chadha, Anjani K. Tiwari, Yasha Hasija*.  In Silico Designing and Analysis of Inhibitors against Target Protein Identified through Host-Pathogen Protein Interactions in Malaria. International Journal of Medicinal Chemistry 2016 [*Corresponding Author] [PMID: 27057354]
  70. Prerna Jain, Nitin Thukral, Lokesh Kumar Gahlot, Yasha Hasija*. CARDIO-PRED: An in-silico tool for predicting cardiovascular-disorder associated proteins. Systems and Synthetic Biology 2015 [*Corresponding Author] [PMID: 25972989]
  71. Isha Srivastava, Nitin Thukral, Yasha Hasija*. Genetics of Human Age Related Disorders. Advances in Gerontology 2015 [*Corresponding Author] [PMID: 26856084].
  72. Shamsudheen Karuthedath Vellarikkal, Heena Dhiman, Kandarp Joshi, Yasha Hasija, Sridhar Sivasubbu , Vinod Scaria. mit-o-matic: a comprehensive computational pipeline for clinical evaluation of mitochondrial variations from next-generation sequencing datasets. Human Mutation 2015 [Impact Factor: 5.122] [PMID: 25677119].
  73. Monika Samant, Minesh Jethva, Yasha Hasija*. INTERACT-O-FINDER: A Tool for Prediction of DNA-Binding Proteins Using Sequence Features. International Journal of Peptide Research and Therapeutics [*Corresponding Author].
  74. Deepika Jaggi, Heena Dhiman, Sonam Arora, Vidhi Malik, Yasha Hasija*. Personal Genome Analysis: A Tread towards Personalized Medicine. International Journal of Functional Informatics and Personalised Medicine [*Corresponding Author].
  75. Ruchika Sahajpal, Gaurav Kandoi, Heena Dhiman, Sweety Raj, OSDD Consortium, Vinod Scaria, Deeksha Bhartiya, Yasha Hasija*. HGV&TB: Systematic curation and analysis of Human genomic variations associated with Tuberculosis Susceptibility. Database 2014, 1-11 [* Corresponding Author] [PMID: 25502817].
  76. Vinita Mishra, Sangeeta Kashyap, Yasha Hasija*. Ligand based virtual screening for identifying potent inhibitors against viral neuraminidase: An in silico approach. Journal of Taibah University for Science Vol 9, Issue 1, January 2015 pp 20-26. [*Corresponding Author].
  77. Yasha Hasija, Jameel Ahmad Khan, Vinod Scaria. Pharmacogenomics for Precision Medicine in the era of collaborative co-creation and crowdsourcing Current Genetic Medicine Reports September 2014, Volume 2, Issue 3, pp 182-189.
  78. Prerna Jain and Yasha Hasija*. In-silico Approach to Map Transcription Factor Binding Motifs onto Drosophila Cardiac Genes. Austin Journal of Biotechnology & Bioengineering, 1(1): 8 2014 [*Corresponding Author].
  79. Sahajpal, R., Qamra, A., Scaria, V., Hasija, Y*. A Database of Pharmacogenomics of Major Infectious Disorders. International Journal of Advanced Biotechnology and Bioinformatics 2012, 1:48. [*Corresponding Author].
  80. Deeksha Bhartiya, Jatin Talwar, Yasha Hasija, Vinod Scaria. Systematic curation and analysis of genomic variations and their potential functional consequences in snoRNA loci. Human Mutation 2012 [Impact Factor 5.956] [PMID: 22778062].
  81. Crowd Sourcing a new paradigm for Interactome Driven Drug Target Identification in Mycobacterium tuberculosis. PLoS ONE 2012, 7:7 [Impact Factor 5.22] [PMID: 22808064].
  82. The Open Source Drug Discovery Consortium. Mycobacterium tuberculosis systems biology data in R. Biobytes. 2009, 5: 40-48.
  83. Gupta M, Bhatnagar P, Grover S, Baghel R, Bhasin Y, Chauhan C, Verma B, Manduva V, Mukherjee O, Purushottam M, Sharma A, Jain S, Brahmachari SK, Kukreti R. Association studies of Catechol-o-methyl transferase (COMT) gene with schizophrenia and response to antipsychotic treatment. Pharmacogenomics. 2009, 10: 385-397 [Impact Factor 4.536] [PMID: 19290789].
  84. The Indian Genome Variation Consortium. Genetic Landscape of the People of India: A Canvas for Disease Gene Exploration. Journal of Genetics. 2008, 87: 3-20 [PMID: 18560169].
  85. Tulika Prakash, Kuljeet Singh Sandhu, Nitin Kumar Singh, Yasha Bhasin, C.Ramakrishnan, Samir K. Brahmachari. Structural assessment of Glycyl mutations in invariantly conserved motifs. PROTEINS: Structure, Function, and Bioinformatics. 2007, 69: 617-632 [Impact Factor 3.392] [PMID: 17623846].

 

Conference Papers:

  1. Singh, Supriya, and Yasha Hasija*. "In silico approach for Parkinson’s disease by targeting MAOB with pterostilbene." In AIP Conference Proceedings, vol. 3297, no. 1, p. 060002. AIP Publishing LLC, 2025.
  2. Aman, Yadav and Yasha Hasija*, "Boosting diagnostic precision for Tuberculosis and Sarcoidosis using gene expression data," 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), Virudhunagar, India, 2025, pp. 1-6, doi: 10.1109/ICCRTEE64519.2025.11053004.
  3. Bhatia, Khushi, and Yasha Hasija*. "Revolutionizing Patient Care: AI-Driven Wearable Technology for Continuous Remote Health Monitoring." In 2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI), pp. 404-409. IEEE, 2025.
  4. Yadav, Khushi, Nakul Tanwar, and Yasha Hasija*. "Exploring the Role of Gut Microbiota in Hypertension: Insights from Machine Learning and eXplainable AI." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2024.
  5. Bhatt, Yogita, and Yasha Hasija*. "Comprehensive Review of Machine Learning Approaches for Analysing EEG-Based Neurological Disorders." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2024.
  6. Bisht, Akansha, Neha Kumari, and Yasha Hasija*. "From Atoms to Applications: Computational Insights in Nano mechanics." In 2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO), pp. 350-355. IEEE, 2024.
  7. Kumari, Neha, and Yasha Hasija*. "CADD:-Exploring the Digital Frontier in Drug Designing." In 2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO), pp. 272-277. IEEE, 2024.
  8. Thakur, Ishi, Achint Kaur, Anvi Sud, and Yasha Hasija*. "Multiclass Classification of Glioblastoma and Medulloblastoma Tumors Using Machine Learning." In 2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 663-667. IEEE, 2024.
  9. Yadav, Saanya, and Yasha Hasija*. "Predicting Breast Cancer Survival Rate Based on Genetic Data: A Machine Learning Approach." In International Conference on e-Health and Bioengineering, pp. 393-399. Cham: Springer Nature Switzerland, 2023.
  10. Sharma, Sourabh, and Yasha Hasija*. "Identification and screening of BACE1 inhibitors using Drug Repurposing: A Computational Approach." In 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT), pp. 1-5. IEEE, 2023.
  11. Sharma, Sourabh, and Yasha Hasija*. "An Overview on Integration of Artificial Intelligence Tools to Predict the Nature of Chronic Obstructive Pulmonary Disease." In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), pp. 84-89. IEEE, 2023.
  12. Bhardwaj, Shreya, and Yasha Hasija*. "ChatGPT, a powerful language model and its potential uses in bioinformatics." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-6. IEEE, 2023.
  13. Saleha Siddiqui, S. Rathour and Yasha Hasija*, "In-silico analysis of phytochemical profile of Capparis decidua evince substitutive approach against inhibition of acetylcholinesterase in Alzheimer's," 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), Greater Noida, India, 2023, pp. 441-445.
  14. Medha Jha and Yasha Hasija*, "Artificial Intelligence In Field of Medical Imaging Informatics," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 661-666.
  15. Medha Jha and Yasha Hasija*. Bioinformatic Analysis of BRCA for Breast, Ovary and Lung Cancer. 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), Greater Noida, India, 2023, pp. 833-838.
  16. Sakshi Rajesh Kumar; Firoz Tyagi; Yasha Hasija*. In-Silico medication of vitiligo by targeting 6AAH protein and riboflavin Ligand. 2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), Villupuram, India, 2023, pp. 1-4.
  17. S. Sharma and Y. Hasija*. "An Overview on Integration of Artificial Intelligence Tools to Predict the Nature of Chronic Obstructive Pulmonary Disease," 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 84-89.
  18. Shristi Sharma and Yasha Hasija*. Identification of novel drugs for inhibition of nuclear factor κ- B protein to treat inflammation-based obesity using computational techniques. 3rd IEEE International Conference on Intelligent Technologies (CONIT-2023) KLE Institute of Technology, Hubballi, Karnataka, India on June 23 - 25, 2023.
  19. Anukriti Yadav; Deepak Kumar; Yasha Hasija*. Behaviour Analysis Using Machine Learning Algorithms In Health Care Sector. 2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT). Gharuan, India, 2023, pp. 877-880.
  20. Ruchi Tirkey, Soniya and Yasha Hasija*. "In-silico approach to DNA codon optimization of Zaire Ebola Virus Genes for Vaccine Development," 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), Lonavla, India, 2023, pp. 1-4.
  21. N. Tanwar, J. Meena and Y. Hasija*. "Explicate Toxicity By eXplainable Artificial Intelligence," 2022 International Conference on Industry 4.0 Technology (I4Tech), Pune, India, 2022, pp. 1-6.
  22. Dhananjay Singh and Yasha Hasija*. Pre-Processing and Clustering of single-cell sequence analysis for Uveal Melanoma Disease. 7th International Conference on Advanced Production and Industrial Engineering (ICAPIE 2022) June 11-12, 2022. Published in: Advances in Transdisciplinary Engineering (ATDE).
  23. Japneet Singh, Ridham Garg, Yasha Hasija*. Evaluation of phytocompounds obtained from Catharanthus roseus to target the upregulated MMPs in prostate cancer. 7th International Conference on Advanced Production and Industrial Engineering (ICAPIE 2022) June 11-12, 2022. Published in: Advances in Transdisciplinary Engineering (ATDE).
  24. Lakshita Kain and Yasha Hasija*. IEEE International Conference on Intelligent Technologies (CONIT-2022) KLE Institute of Technology, Hubballi, Karnataka, India on June 24 - 26, 2022.
  25. Ankit and Yasha Hasija*. Artificial intelligence and digital pathology synergy: for detailed accurate and predictive analysis of WSIs. IEEE 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) March 25-26, 2022.
  26. Ashish Kukreti and Yasha Hasija*. Machine Learning: A promising in-silico approach to curb antimicrobial resistance. IEEE 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) March 25-26, 2022.
  27. Ashutosh Anand, Siddharth Chawla, Apoorva Gupta and Yasha Hasija*. “Deep Neural Nets in Real-Time Detection of Cancerous Epidermal Lesions”. IEEE 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) March 25-26, 2022.
  28. Nakul Tanwar and Yasha Hasija*. Explainable AI; Are We There Yet? IEEE Delhi Section International Conference on Electrical, Electronics and Computer Engineering (IEEE DELCON) 2022. February 11-13, 2022.
  29. Sandeep Kumar and Yasha Hasija*. Immunoinformatics Tools: A boon in vaccine Development Against Covid-19. IEEE Delhi Section International Conference on Electrical, Electronics and Computer Engineering (IEEE DELCON) 2022. February 11-13, 2022.
  30. Khushi Yadav and Yasha Hasija*. IoT and Big Data Inter-Relation: A Boom in Biomedical Healthcare. IEEE Delhi Section International Conference on Electrical, Electronics and Computer Engineering (IEEE DELCON) 2022. February 11-13, 2022.
  31. Kanishka Soni and Yasha Hasija*. Artificial Intelligence Assisted Drug Research and Development. IEEE Delhi Section International Conference on Electrical, Electronics and Computer Engineering (IEEE DELCON) 2022. February 11-13, 2022.
  32. Nakul Tanwar and Yasha Hasija*. Deep learning: A tool in Biomedical Science. IEEE International Conference for Advancement in Technology (ICONAT 2022). January 21-23, 2022.
  33. Khushi Yadav and Yasha Hasija*. Artificial Intelligence and Technological Development in Behavioral and Mental Healthcare. IEEE International Conference for Advancement in Technology (ICONAT 2022). January 21-23, 2022.
  34. Saurabh Biswas and Yasha Hasija*. Machine Learning Methods for Protein Function Prediction. International Conference on Computational Intelligence and Emerging Power System (ICCIPS). 2021. Published in: Algorithms for Intelligent Systems (Springer) pp 85-98.
  35. Prodyot Banerjee and Yasha Hasija*. Molecular Dynamics Simulation and Its Application. 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). 2021, pp. 1-5.
  36. Aparna Chauhan, Kuldeep Singh Naga and Yasha Hasija*. Pharmacogenomics Based Study for Liraglutide And Metformin (PCOS Drugs) Efficacy in Populations Across the Globe. 12th International Conference on Computing, Communication and Networking Technologies (ICCCNT). July 06-08, 2021.
  37. Divya Sharma and Yasha Hasija*. Big Data: A Boom in Biomedical Sciences. 12th International Conference on Computing, Communication and Networking Technologies (ICCCNT). July 06-08, 2021.
  38. Siddhant Rajkumar and Yasha Hasija*. Big Data in Healthcare. International Conference on Computational Intelligence and Computing Applications-2021. June 18-19, 2021. Published in: AIP Conference Proceedings Volume 2424, Issue 1, 050005 (2022).
  39. Tejasv Gupta, Dolcy Rao and Yasha Hasija*. Robotics in Healthcare: An Overview. 2nd International Conference on New Achievements in Multidisciplinary Research (ICNAMR 2021). May 29-30, 2021.
  40. Divyanshu Aggarwal and Yasha Hasija*. A Review of Deep Learning for Protein Function Prediction. 2nd International Conference for Emerging Technology (IEEE INCET-2021). May 21– 23, 2021. Belgaum, Karnataka, INDIA.
  41. Apoorva Gupta and Yasha Hasija*. Next generation 5G Wireless Technologies in Healthcare. 5th International Conference on ICT for Intelligent Systems (ICTIS – 2021) April 23-24, 2021. Ahmedabad, India. Published in: Senjyu T., Mahalle P.N., Perumal T., Joshi A. (eds) ICT with Intelligent Applications. Smart Innovation, Systems and Technologies, vol 248. Springer, Singapore.
  42. Dolcy Rao, Kuldeep Singh Naga and Yasha Hasija*. Single-Cell RNA Sequencing Data Analysis: An Overview. International Conference on Recent Challenges in Engineering Science and Technology (ICRCEST 2K21). April 09-10, 2021.
  43. Rishabh Rawat, Rohan Prakash, and Yasha Hasija*. A Brief Overview of Artificial Intelligence in the field of Medical and Healthcare. International Conference on Recent Challenges in Engineering Science and Technology (ICRCEST 2K21). April 09-10, 2021.
  44. Arpita Sharma and Yasha Hasija*. Misinformation- A challenge to medical sciences: A systematic review. International Conference on Machine Learning and Big Data Analytics (ICMLBDA). March 29-30, 2021. Indian Institute of Technology, Patna.
  45. Apoorva Gupta, Ashutosh Anand and Yasha Hasija*. Recall-based Machine Learning approach for early detection of Cervical Cancer. IEEE Sponsored 6th International Conference for Convergence in Technology (I2CT) April 02-04, 2021. Pune, Maharashtra, India.
  46. Shubham Mittal and Yasha Hasija*. RNA Secondary Structure Prediction using Machine Learning: A Review. ICCCA 2020. 5th IEEE International Conference on Computing, Communication and Automation is being jointly organized by Aurel Vlaicu University of Arad, Romania & Galgotias University, India at Galgotias University Greater Noida (NCR New Delhi) India. October 30-31, 2020.
  47. Avni Mehta, Richa Nayak, Yasha Hasija*. Melanoma Risk Prediction with respect to Modifiable Lifestyle Factors by Meta-Analysis Aided Machine Learning Technique. IEEE International Conference on Computing, Power and Communication Technologies (GUCON 2020). October 02-04, 2020.
  48. Himanshu Kumar and Yasha Hasija*. Bioinformatics Analysis of Merkel Cell Carcinoma to identify critical genes and their validation. IEEE International Conference for Innovation in Technology (INOCON) 2020, Bangalore, India. November 06-08, 2020.
  49. Shubham Mittal and Yasha Hasija*. Advancements in RNA Secondary Structure Prediction using Machine Learning Methods. IEEE International Conference for Innovation in Technology (INOCON) 2020, Bangalore, India. November 06-08, 2020.
  50. Rajkumar Chakraborty, Shreeya Kedia and Yasha Hasija*. Integrated transcriptional meta- analysis of pigmentation disorders. Third International Conference of Biotechnology and Biological Sciences (Biospectrum 2019). August 8-10, 2019. Kolkata, India. Published in: Biotechnology and Biological Sciences, CRC Press. 2020 Taylor & Francis Group, London.
  51. Jaishree Meena, Aparna Chauhan, Yasha Hasija*. Deciphering the association of Single Amino Acid Variations with Dermatological Diseases applying Machine Learning techniques. Third International Conference on Advanced Informatics for Computing Research (ICAICR-2019). June 15-16, 2019. Solan, India.
  52. Richa Nayak and Yasha Hasija*. Deep Learning in Image Processing: Revolutionizing Diagnosis in the Field of Dermatology. Third International Conference on Advanced Informatics for Computing Research (ICAICR-2019). June 15-16, 2019. Solan, India.
  53. Mottadi Shiva, Rajkumar Chakraborty and Yasha Hasija*. DermaMeth: Human DNA Methylation Database for Genes associated with dermatological disorders. International Conference on Computing, Power and Communication Technologies (GUCON 2019). September 27-28, 2019, Radisson Blu Hotel, Greater Noida, NCR New Delhi, India.
  54. Mottadi Shiva, Neha Kumari and Yasha Hasija*. MethARD: Human DNA Methylation database for genes associated with age-related disorders. International Conference on Computing, Power and Communication Technologies (GUCON 2019). September 27-28, 2019, Radisson Blu Hotel, Greater Noida, NCR New Delhi, India.
  55. Rajkumar Chakraborty and Yasha Hasija*. miDerma: An Integrated Database and Tool for Analysis of miRNAs associated with Dermatological Disorders. International Conference on Bioinformatics and Systems Biology. October 26-28, 2018, Indian Institute of Information Technology – Allahabad, India.
  56. Disha Mandal, Isha Sharma and Yasha Hasija*. Characterization of Bacteria present in the Probiotics in Indian Market. 2nd International Online Conference on Biological Sciences (IOCBS 2018), 22 July, 2018 (Accepted).
  57. Isha Sharma, Disha Mandal, Yasha Hasija*. Big Data and Hadoop in Biology: Introduction, Implementation and Applications. International Conference on Computing, Power and Communication Technologies 2018 (GUCON) organised by Galgotias University September 28-29, 2018, Radisson Blu Hotel Greater Noida, Uttar Pradesh (Accepted).
  58. Soumya Sourav, Nikhil Garg, Yasha Hasija*. Automated Detection of Dermatological Disorders through Image-Processing and Machine Learning. First International Conference on Information Technology, Communications and Computing (ICITCC 2017) organised by HCTL Open December 23-24, 2017, Bhopal (M.P.), India. Published in: IEEE Explore
  59. Bhakti Sargia, Bharat Singh, Nisha Gupta, Lokesh Kumar, Gahlot, Trisha Gulati, Yasha Hasija*. MED-PDB: An Online Database of Medicinal Plants. 1st International Online Conference on Biological Sciences (IOCBS 2017) November 3-7, 2017, India. Published in: Journal of Advanced Pharmacy Education & Research [JAPER] [ISSN-2249-3379]
  60. Himanshi, Trisha Gulati, Yasha Hasija*. Biometrics in Healthcare. International Conference on Advanced Production and Industrial Engineering (ICAPIE 2017) October 06-07, 2017, DTU (Oral Presentation).
  61. Arpit Singh, Priyanka Kumari and Yasha Hasija*. Functional Annotation of Hypothetical Proteins of Lactobacillus Rhamnosus: An In Silico Approach. 6th International Conference on Bioinformatics and Biomedical Science (ICBBS 2017) June 22-24, 2017, Singapore (Oral Presentation).
  62. Lalita Mehra, Priyanka Chhabra, Amit Kumar, Aseem Bhatnagar, Yasha Hasija, and Gaurav Mittal. Preclinical evaluation of Di-sodium Alpha ketoglutarate against Isoniazid-Rifampicin Induced Hepatotoxicity. International Conference on Food, Agricultural and Life Sciences (FALS-16) London (UK). Published in: Int’l Journal of Advances in Chemical Engg., & Biological Sciences (IJACEBS) Vol. 3, Issue 1 (2016).
  63. Abhivyakti Srivastava, Mottadi Shiva, Priyanka Kumari, Yasha Hasija*. Comprehensive Computational analysis of Human Chromosome 11. International Conference on Bioinformatics and Systems Biology (BSB-2016)”, March 04-06, 2016 organized by Department of Applied Sciences, Indian Institute of Information Technology-Allahabad (IIIT-A), India [*Corresponding Author].
  64. Anju Gupta, Priyanka Kumari, Mottadi Shiva, Yasha Hasija*.  Identification of functional genetic variants in miRNA binding site in genes associated with lung cancer. International Conference on Bioinformatics and Systems Biology (BSB-2016)”, March 04-06, 2016 organized by Department of Applied Sciences, Indian Institute of Information Technology-Allahabad (IIIT-A), India [*Corresponding Author].
  65. Akanksha, Yasha Hasija*. Identification of micro RNA causing pancreatitis cancer and their integrated bioinformatics analysis. International Journal of Engineering, Technology, Science and Research. Special Issue Vol 2 [International Conference on Emerging Trends of Engineering, Science, Management and it’s Applications (ICETESMA-15). March 01, 2015, JNU [*Corresponding Author].
  66. Lalita Mehra, Amit Kumar, Aseem Bhatnagar, Yasha Hasija, Gaurav Mittal. Assessing Nutraceutical Alpha Ketoglutarate for Its Effectiveness: 99m   Technetium-Mebrofenin Nuclear Imaging In CCl4 Induced Hepatotoxic Animal Model. International Conference on Chemical, Food and Environment Engineering (ICCFEE'15). Dubai (UAE). January 11-12, 2015 (Awarded Best Oral Presentation Award).
  67. Monika Samant, Sagar Maji and Yasha Hasija*. BIOFUELdb: A Visionary Approach towards Better Future. Indian Society for Technical Education (ISTE) Delhi Section Convention on “Technological Universities and Institutions in New Knowledge Age: Future Perspectives and Action Plan”, 5-6 September 2013, DTU [*Corresponding Author].
  68. Vinita Mishra and Yasha Hasija*. A Review on Bio-hydrogen production: Current trends and Advances. Indian Society for Technical Education (ISTE) Delhi Section Convention on “Technological Universities and Institutions in New Knowledge Age: Future Perspectives and Action Plan”, 5-6 September 2013, DTU [*Corresponding Author].

 

 

BOOKS/BOOK CHAPTERS (IF ANY)

  1. Jha, Medha, and Yasha Hasija*. "Real-time classification of electromyography signals for robotics." In Medical Robotics and Intelligent Healthcare Technologies, pp. 79-106. Academic Press, 2026.
  2. Kumari, Neha, and Yasha Hasija*. "Computational methods for biosignal processing: Modeling and control." In Medical Robotics and Intelligent Healthcare Technologies, pp. 139-164. Academic Press, 2026.
  3. Kumari, Kanchan, Anjali Sharma, and Yasha Hasija*. "Neurobiological basis of autism spectrum disorder: Focus on SHANK2 gene and molecular docking studies." In Intelligent Computing and Communication Techniques, pp. 404-410. CRC Press, 2025.
  4. Tanwar, Nakul, and Yasha Hasija*. "Overview of new trends on deep learning models for diabetes risk prediction." In Internet of Things and Machine Learning for Type I and Type II Diabetes, pp. 135-146. Elsevier, 2024.
  5. Yadav, Khushi, and Yasha Hasija*. "Applications of IoT and data mining techniques for diabetes monitoring." In Internet of Things and Machine Learning for Type I and Type II Diabetes, pp. 187-197. Elsevier, 2024.
  6. Saurabh Biswas and Yasha Hasija*. Big data analytics in precision medicine. Chapter 6. Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications. 2022, Pages 63-72.
  7. Saanya Yadav and Yasha Hasija*. Computational Intelligence Methods for Predicting Cancer Susceptibility from SNP Data. Chapter 24. Computational Intelligence in Oncology. Applications in Diagnosis, Prognosis and Therapeutics of Cancers (ISBN 978-981-16-9220-8). Pp 435-454.
  8. Saurabh Biswas and Yasha Hasija*. Mucormycosis Vaccine Design using Bioinformatic Tools. In: Satyanarayana, C., Samanta, D., Gao, XZ., Kapoor, R.K. (eds) High Performance Computing and Networking. Lecture Notes in Electrical Engineering, vol 853. Springer, Singapore. https://doi.org/10.1007/978-981-16-9885-9_21 (Print ISBN 978-981-16-9884-2). Springer, Singapore. Pp 247
  9. Simran Kaur and Yasha Hasija*. Prognostic Modeling with the Internet of Healthcare Things Applications. Chapter 7. Lecture Notes on Data Engineering and Communications Technologies, Vol. 64, pp. 129-155. Sudipta Roy et al. (Eds). Springer Nature.
  10. Simran Kaur and Yasha Hasija*. Role of Computational Intelligence Against COVID-19. Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis. 2021. Pages 19-43. Khalid Raza (Ed). Springer.
  11. Shavika Gupta, Abhishek Gupta, Yasha Hasija*. Transforming IoT in Aquaculture: A Cloud Solution. In: Artificial Intelligence, Edge and IoT-Based Smart Agriculture. Intelligent Data Centric Systems (pp. 517-531). Academic Press, Elsevier.
  12. Debleena Guin, Sarita Thakran, Pooja Singh, S. Ramachandran, Yasha Hasija and Ritushree Kukreti. Translational biotechnology: A transition from basic biology to evidence-based research. Chapter 1. Translational Biotechnology: A Journey from Laboratory to Clinics. Yasha Hasija (Ed). Academic Press, an imprint of Elsevier.
  13. Richa Nayak and Yasha Hasija*. Translational bioinformatics: An Introduction. Chapter 11. Translational Biotechnology: A Journey from Laboratory to Clinics. Yasha Hasija (Ed). Academic Press, an imprint of Elsevier.
  14. Richa Nayak, Rajkumar Chakraborty and Yasha Hasija*. System Biology and Synthetic Biology. Chapter 13. Translational Biotechnology: A Journey from Laboratory to Clinics. Yasha Hasija (Ed). Academic Press, an imprint of Elsevier.
  15. Aparna Chauhan and Yasha Hasija*. IoT based Healthcare: Personalized Health Monitoring using Machine Learning and Blockchain for Security of Data. Chapter 12. Security and Trust Issues in Internet of Things: Blockchain to the Rescue, Sudhir Kumar Sharma and Bhuvan Unhelkar (Eds). CRC Press. Taylor and Francis Group, USA.
  16. Pawan Singh Gangwar and Yasha Hasija*. Deep Learning for Analysis of Electronic Heath Records (EHR). Chapter 8. Studies in Big Data, Vol. 68, Sujata Dash et al. (Eds): Deep Learning Techniques for Biomedical and Health Informatics. Springer Nature (ISBN: 978-3-030-33965-4).
  17. Shubham Mittal and Yasha Hasija*. Applications of Deep Learning in Healthcare and Biomedicine. Chapter 4. Studies in Big Data, Vol. 68, Sujata Dash et al. (Eds): Deep Learning Techniques for Biomedical and Health Informatics Springer Nature (ISBN: 978-3-030-33965-4).
  18. Avni Mehta and Yasha Hasija*. Bioinformatics approaches for genomics and post genomics applications of anticancer plants. Anticancer Plants: Mechanisms and Molecular interactions, Volume- 4 pp 283-317. Eds: Mohd Sayeed Akhtar, Mallappa Kumara Swamy. Springer International, Singapore.
  19. Lakshay Bajaj, Kannu Gupta and Yasha Hasija*. Image Processing in Biomedical Sciences. Advances in Soft Computing and Machine Learning in Image Processing. Eds: Hassanien, Aboul Ella, Oliva, Diego Alberto. Series Vol. 730 pp 185-212. Springer (ISBN 978-3-319-63753-2) [*Corresponding Author].
  20. Lokesh Kumar Gahlot, Pooja Khurana, Yasha Hasija*. A SMART VISION WITH THE 5G ERA AND BIG DATA – NEXT EDGE IN CONNECTING WORLD. ADVANCES IN MOBILE CLOUD COMPUTING AND BIG DATA UNDER THE 5G ERA. Volume 22 of the series Studies in Big Data pp 151-170, Springer International Publishing 2017 (Print ISBN: 978-3-319-45143-5; Online ISBN: 978-3-319-45145-9).
  21. Nitin Thukral and Yasha Hasija*. METABOLIC ENGINEERING: Dimensions and Applications. Computational Biology and Bioinformatics: Gene Regulation. Ed: Ka-Chun Wong. CRC Press. Taylor and Francis Group Chapter 15 pp. 340-368 (ISBN 9781498724975) [*Corresponding Author].
  22. Navneet Kaur Soni, Nitin Thukral, Yasha Hasija*. Personalised Medicine in the Era of Genomics. Handbook of Research on Computational Intelligence Applications in Bioinformatics. IGI Global 2016 Chapter 14 pp. 296-327 (ISBN13: 9781522504276) [*Corresponding Author].
  23. Yasha Bhasin and K.K.Aggarwal. Protease Inhibitors: Potential Bio-insecticides and Therapeutic Agents. Recent Progress in Medicinal Plants. 2005, 12: 264-277.

PATENTS (IF ANY)

  1. Patent designed titled ‘Vending System for Precision Plant Disease Management Through Image Recognition and Automated Pesticide Dispensing’; Authors- 1. Delhi Technological University 2. Prof. Yasha Hasija 3. Rajkumar Chakraborty; Oct’25; Patent no: 571607
  2. Patent designed titled ‘Device for Diagnosis of Inborn Errors of Metabolism (IEM), 1. Delhi Technological University 2. Prof. Yasha Hasija 3. Akansha Bisht; Aug’25; Patent no: 461911001

HONOURS AND AWARDS (IF ANY)

  • Awarded Commendable Research Award-2025 for Excellence in Research during the year 2024 by DTU.
  • Awarded Commendable Research Award-2024 for Excellence in Research during the year 2023 by DTU.
  • Awarded Commendable Research Award-2023 for Excellence in Research during the year 2022 by DTU.
  • Invited as Guest of Honor in the Annual Day and Prize Distribution Function at Indira Gandhi Institute of Physical Education and Sports Sciences (IGIPESS), University of Delhi, March 31, 2022.
  • Awarded Commendable Research Award-2022 for Excellence in Research during the year 2021 by DTU.
  • Awarded Premier Research Award-2021 for Excellence in Research during the year 2020 by DTU.
  • Awarded Commendable Research Award-2020 for Excellence in Research during the year 2019 by DTU.
  • Awarded Commendable Research Award-2019 for Excellence in Research during the year 2018 by DTU.
  • Awarded Commendable Research Award-2018 for Excellence in Research during the year 2017 by DTU.
  • Awarded Nomenclature Prize in the Human Genome Meeting-2010, Montpellier, France (2010).
  • Awarded CSIR Foreign Travel Grant for attending and presenting my research work in the Human Genome Meeting (HGM) held in Montepellier, France in May, 2010.
  • Qualified Joint CSIR-UGC Test for Junior Research Fellowship (JRF) and eligibility for lectureship (NET) held on December 28, 2003.
  • Qualified GATE- 2003 with a percentile of 94.09.
  • Awarded AICTE-PG Scholarship during M.Tech.
  • Department of Science and Technology (DST) Award for participation in the meeting of Nobel Laureates and Students held in Lindau, Germany during July 1-5, 2002.
  • Secured a Second Merit Position in M.Tech (Integrated) Course in Biotechnology from Guru Gobind Singh Indraprastha University, Delhi.

SPONSORED/CONSULTANCY PROJECTS

  1. Title: Genetic Analysis of Dermatological Disorders (Role: Principal Investigator); Funding Agency: DBT, India; Duration: 3 years (2017-20).
  2. Title: Tuberculosis: Genetic Susceptibility and Pharmacogenomics Databases; (Role: Principal Investigator); Funding Agency: CSIR-OSDD; Duration: 3 years (2012-15).
  3. Title: Role of Human Genetic Variations in Age-Related Disorders; (Role: Principal Investigator); Funding Agency: Science and Engineering Research Board (SERB) under OYS Scheme; Duration: 3 years (2012-15).

START-UPS (IF ANY)

MOOC COURSES DEVELOPED (IF ANY)

PROFESSIONAL DEVELOPMENT

  • Participated in the Faculty Development Programme on “NBA Accreditation Procedures” conducted by National Institute of Technical Teachers Training and Research, Chennai. June 06-08, 2022.
  • Successfully completed one week Faculty Development Programme on “Ethics and Values in Technical Education in Context of National Education Policy 2020”, organized by Centre for Value Based Education, Delhi Technological University from April 15-19, 2021.
  • Successfully completed TEQIP-III Sponsored one week online International Faculty Development Programme on “Machine Learning and Computer Vision: Applications, Research Challenges”, jointly organized as a twinning programme by National Institute of Technology, Silchar, Assam and Gauhati University Institute of Science & Technology, Guwahati, Assam from August 24-28, 2020.
  • Successfully completed TEQIP-III Sponsored one week Staff Development Programme on “Electronic Design Automation and Documentation Tools”, organized by Department of Electronics and Automation Engineering, Delhi Technological University from July 22-26, 2019.
  • Attended 2-weeks Faculty Development Programme on “Advanced Manufacturing and Operations Management (AMOM-2017)”, organized by Centre for Advanced Production and Industrial Engineering Research (CAPIER), Department of Mechanical, Production & Industrial and Automobile Engineering, Delhi Technological University from July 03-14, 2017.
  • Successfully completed TEQIP-II Sponsored Faculty Development Programme on “Advances in Microelectronics and Plasma Diagnostics”, organized by Department of Applied Physics, Delhi Technological University from August 29- September 02, 2016.
  • Successfully completed TEQIP-II Sponsored Faculty Development Programme on “Geotechnical Engineering for Urban Infrastructure (GEUI-2016)”, organized by Department of Civil Engineering, Delhi Technological University from July 11-15, 2016.
  • Successfully completed TEQIP-II Sponsored Faculty Development Programme on “Advances in Information Security”, organized by Department of Computer Science and Engineering, Delhi Technological University from January 18 - 22 , 2016.
  • Successfully completed TEQIP-II Sponsored Short-Term Course on “Recent Advances in Alternative and Renewable Energy Technologies”, organized by Department of Mechanical, Automobile, Production and Industrial Engineering, Delhi Technological University from December 7-11, 2015.
  • Successfully completed TEQIP-II Sponsored Faculty Development Program on ‘Automation in Manufacturing’ (AIM-2015), organized by Department of Mechanical, Production and Industrial Engineering, Delhi Technological University from May 04-15, 2015.
  • Successfully completed TEQIP-II Sponsored Faculty Development Program on ‘Frontiers in Chemical and Polymer Sciences’ organized at Department of Applied Chemistry and Polymer Technology, Delhi Technological University from December 15, 2014 to December 26, 2014.
  • Successfully completed Faculty Development Program on 'Analytical Techniques for Research' organized at the University School of Management Studies, GGS Indraprastha University, New Delhi from December 30, 2013 to January 05, 2014.
  • Successfully completed Faculty Development Programme (FDP) on “Recent Trends in Cloud Computing and Big Data” organized by Department of Information Technology, Indira Gandhi Delhi Technical University for Women, Delhi from December 16, 2013 to December 20, 2013.

ADVISEES

Ph.D. (Awarded)- 09

M.Tech. Students- 55

M.Sc. Students- 40

Reviewing and Editorial Assignments

  1. Editor, Springer Nature
  2. Reviewer, npj Digital Medicine
  3. Reviewer, IEEE/ACM Transactions on Computational Biology and Bioinformatics
  4. Reviewer, Gene Reports
  5. Reviewer, International Journal of Dermatology
  6. Reviewer, Current Microbiology
  7. Reviewer, Informatics in Medicine Unlocked (Elsevier)
  8. Reviewer, Computers in Biology and Medicine
  9. Reviewer, Current Bioinformatics
  10. Grant Reviewer, American University of Beirut (AUB) Research Grant Review
  11. Associate Editor, International Journal of Bioinformatics Research.
  12. Reviewer, Computational Biology and Chemistry
  13. Reviewer, Journal of Biomedical Informatics
  14. Reviewer, Applied Biochemistry and Biotechnology
  15. Reviewer, Metabolic Brain Disease.
  16. Reviewer, 6th International Conference on Bioinformatics and Biomedical Science (ICBBS), June 22-24, 2017, Singapore.
  17. Associate Editor, International Journal of Bioinformatics Research.
  18. Grant Reviewer, Israeli Ministry of Science, Technology & Space, "Personalized Medicine" Infrastructure program 2017.
  19. Associate Editor, International Journal of Bioinformatics Research
  20. Executive Editor, International Journal of Advanced Biotechnology & Bioinformatics (IJABB) launched on November 02, 2012.
  21. Editorial Board Member, Review of Bioinformatics and Biometrics (RBB).
  22. Editorial Board Member, Austin Journal of Biotechnology & Bioengineering
  23. Academic Editor / Author Suggested Reviewer, International Journal of Biotechnology Applications
  24. Member, Scientific and Technical Committee & Editorial Review Board on Biotechnology and Bioengineering, World Academy of Science, Engineering and Technology (WASET)
  25. Reviewer, PLoS One
  26. Reviewer, Journal of Biomedical Informatics
  27. Reviewer, Biomedicine & Pharmacotherapy
  28. Reviewer, Journal of Biomolecular Structure & Dynamics
  29. Reviewer, BMC Research Notes
  30. Reviewer, Biomedicine & Pharmacotherapy?
  31. Reviewer, Electronic Government, an Int. J.
  32. Reviewer, Metabolic Brain Disease.
  33. Reviewer, Applied Biochemistry and Biotechnology
  34. Reviewer, The American Journal of the Medical Sciences
  35. Reviewer, Computational Biology and Chemistry

ANY OTHER INFORMATION

Books Authored:

  1. Yasha Hasija. All about Bioinformatics: From Beginner to Expert. Academic Press Inc. (Elsevier) April 2023.
  2. Yasha Hasija and Rajkumar Chakraborty*. Hands on Data Science for Biologist using Python. CRC Press (Taylor & Francis Group). April 2021

Book Edited:

  1. Yasha Hasija (Ed.). Translational Biotechnology: A Journey from Laboratory to Clinics (1st  Edition) ISBN: 9780128219720. Academic Press (Elsevier). January, 2021.