Birla Institute of Technology, Mesra
Faculty Image

Dr. Naiyar Iqbal

Joined Institute on : 19-Mar-2025

  • Computer Science and Engg
  • M.Tech. (CS), Ph.D. (CS)
Contact Address

Ali Nagar, Anisabad, Patna - 800002, Bihar

Chhapra, Saran - 841311, Bihar

  • Phone Office - 9818572818
  • Phone Residence - 9818572818
  • Email - naiyar.iqbal@bitmesra.ac.in
Work Experience

Teaching : 7 Years

Research : 7 Years

Individual: 2 Years
Professional Background

Dr. Naiyar Iqbal is currently working as an Assistant Professor at the Department of Computer Science & Engineering, Birla Institute of Technology~BIT (Deemed University), Mesra, Patna Campus, Bihar. He received Doctor of Philosophy (Ph.D.) and Master of Technology (M.Tech.) in Computer Science from the Department of Computer Science and Information Technology, School of Technology, Maulana Azad National Urdu University~MANUU (Central University), Hyderabad, Telangana.

He has qualified UGC-NET in Computer Science and Applications for Assistant Professor, awarded by the University Grants Commission, Government of India. He has also qualified TS-SET in Computer Science and Applications for Assistant Professor, awarded by the Government of Telangana.

He has more than seven years of experience in teaching at the undergraduate (UG) and postgraduate (PG) levels. His area of research is Bioinformatics, Data Science, Data Mining, Soft Computing, and Machine Learning. He has published 9 international journals, 4 International Conference Proceedings, and 6 Book Chapters in his credit.

Google Scholar: https://scholar.google.co.in/citations?hl=en&user=CgQz-2EAAAAJ

IRINS: https://bitmesra.irins.org/profile/125612

Scopus: https://www.scopus.com/authid/detail.uri?authorId=57210898283

Web of Science: https://www.webofscience.com/wos/author/record/P-4344-2016

NCBI ID: https://www.ncbi.nlm.nih.gov/myncbi/1VWC6hgftjZQKA/cv/624513/

ORCID: https://orcid.org/0000-0002-7925-3427

DBLP ID: https://dblp.uni-trier.de/pid/252/9114.html

Academic Activities

  • Faculty Coordinator in Poster Presentation event of Tech-Turing 2K19 fest, organized by Department of Computer Science and Information Technology, School of Technology, Maulana Azad National Urdu University, Hyderabad, Telangana, India held on 14th February 2019.

  • Co-opted Member of NAAC committee for the preparation of Research Innovation and Extension at Maulana Azad National Urdu University, Hyderabad, Telangana, India in 2020-21.

  • Technical Coordinator in the Two-Day National Conference on Computational Methods, Data Science and Applications (NS-CMDSA 2021) organized by Department of Computer Science and Information Technology, School of Technology, Maulana Azad National Urdu University, Hyderabad, Telangana, India held on 24-25th May 2021.

  • Technical Coordinator in one-week FDP Webinar Series on "Data Science" organized by School of Computer Science and Information Technology, Maulana Azad National Urdu University, Hyderabad sponsored by All India Council for Technical Education-Training and Learning (AICTE-ATAL) Academy India held 22-26th November 2021.

  • Counting Officer in the 9th MANUU Student Union (MSU) Election, organized by Maulana Azad National Urdu University, Hyderabad, Telangana, India held on 12th January 2023.

  • Member of IQAC & NAAC committee, Alumni Cell, Attendance Committee, Library Committee, Magazine/Newsletter/Publication Committee, Website Data Management Committee and NIRF Committee in the Department of Computer Science and Information Technology, Maulana Azad National Urdu University, Hyderabad w.e.f. academic year 2022-23. 

  • Organizing Member of One day Academic Awareness Workshop on the e-Governance Standards and Guidelines conducted at Maulana Azad National Urdu University, Hyderabad held on 13th October 2023. 

  • Counting Officer in the 10th MANUU Student Union (MSU) Election, organized by Maulana Azad National Urdu University, Hyderabad, Telangana, India held on 02nd November 2023.

  • Member of Organizing Committee of 8th International Conference on Research in Intelligent Computing in Engineering (RICE 2023) organized by Department of Computer Science and Information Technology, School of Technology, Maulana Azad National Urdu University, Hyderabad, Telangana, India jointly co-organized by Universidad Don Bosco, El Salvador, Central America held on 01-02 December 2023.

  • Member of Organizing Committee of International Conference on Computational Methods, Data Science & Networking (ICCMDN 2025) organized by Department of Computer Science and Information Technology, School of Technology, Maulana Azad National Urdu University, Hyderabad, Telangana, India held on 16-17 January 2025.

  • Member of Technical Committee of one-week FDP on Drone and IoT Technology for GIS and Smart Farming Applications organized by Birla Institute of Technology (BIT), Mesra, Patna Campus in collaboration with E&ICT Academy Phase-II, National Institute of Technology (NIT) Patna held on 02-06 June 2025.
Research Areas

Bioinformatics, Data Science, Data Mining, Soft Computing, and Machine Learning
Award and Honours

  • Academic Excellence Award for M.Tech. (Computer Science) 2015-16 session from Department of Computer Science and Information Technology, Maulana Azad National Urdu University, Hyderabad, Telangana, India.

  • Gold Medalist of M.Tech. (Computer Science) 2015-17 session from Department of Computer Science and Information Technology, Maulana Azad National Urdu University, Hyderabad, Telangana, India.
Publications

Publications (Journal)

[1] Iqbal, N., & Kumar, P. (2023). Recent developments in soft computing based feature selection and disease classification. Suranaree Journal of Science and Technology, 30(2). (e-ISSN: 0858-849X) (Web of Science- ESCI, Scopus, UGC-CARE) [Source][PDF]

[2] Iqbal, N., & Kumar, P. (2022). Integrated COVID-19 predictor: Differential expression analysis to reveal potential biomarkers and prediction of coronavirus using RNA-Seq profile data. Computers in Biology and Medicine, 147, 105684. https://doi.org/10.1016/j.compbiomed.2022.105684 PMid:35687925 PMCid:PMC9162937 (e-ISSN: 0010-4825) (Web of Science- SCIE, Scopus, PubMed, UGC-CARE) [Elsevier] IF: 6.698, Q1 (2022)

[3] Yang, X., Alam, A., Iqbal, N., & Raza, K. (2021). Repurposing of FDA-Approved Drugs to Predict New Inhibitor Against Key Regulatory Genes in Mycobacterium Tuberculosis. Biocell, 45(6): 1569-1583. https://doi.org/10.32604/biocell.2021.017019 (e-ISSN: 1667-5746) (Web of Science- SCIE, Scopus, UGC-CARE) [Source][PDF] IF: 1.254, Q4 (2021)

[4] Iqbal, N., & Islam, M. (2019). Machine learning for dengue outbreak prediction: A performance evaluation of different prominent classifiers. Informatica, 43(3):363-371. https://doi.org/10.31449/inf.v43i3.1548 (e-ISSN: 0350-5596) (Web of Science- ESCI, Scopus, ACM-Digital Library, UGC-CARE) [Source][PDF]

[5] Iqbal, N., & Kumar, P. (2019). I-NFG: An integrated neuro-fuzzy-genetic based soft computing techniques for feature selection and disease prediction using gene expression. Journal of Applied Computing, 4(1):1-8. (e-ISSN: 2456-5059) [Source][PDF]

[6] Farooqi, M. R., & Iqbal, N. (2019). Performance evaluation for competency of bank telemarketing prediction using data mining techniques. International Journal of Recent Technology and Engineering, 8(2): 5666-5674. https://doi.org/10.35940/ijrte.A1269.078219 (e-ISSN: 2277-3878) (Scopus, UGC-CARE) [Source][PDF]

[7] Farooqi, M. R., & Iqbal, N. (2017). Effectiveness of data mining in banking industry: An empirical study. International Journal of Advanced Research in Computer Science, 8(5):827-830. (e-ISSN: 0976-5697) (ICI 2016-UGC) [Source][PDF]

[8] Iqbal, N., & Islam, M. (2017). Machine learning for dengue outbreak prediction: An outlook. International Journal of Advanced Research in Computer Science, 8(1):93-102. (e-ISSN: 0976-5697) (ICI 2016-UGC) [Source][PDF]

[9] Iqbal, N., & Islam, M. (2016). From Big Data to Big Hope: An outlook on recent trends and challenges. Journal of Applied Computing, 1(1):14-24. (e-ISSN: 2456-5059) [Source][PDF]WoS - ESCI, Scopus

Publications (Conference Proceeding)

[1] N. Iqbal & A. Bhardwaj, "Decoding SARS-CoV-2 Variants: An in-silico approach to RNA-Seq feature extraction using K-mers and N-grams," 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, India, 2024, pp. 1-10, https://doi.org/10.1109/SCEECS61402.2024.10481950. (IEEE Xplore, Web of Science- CPCI, Scopus)

[2] Iqbal, N., & Kumar, P. (2023). From Data Science to Bioscience: Emerging era of bioinformatics applications, tools and challenges. Procedia Computer Science, 218, 1516-1528. https://doi.org/10.1016/j.procs.2023.01.130. Elsevier. (ISSN: 1877-0509) (Web of Science- CPCI, Scopus)

[3] Iqbal, N., & Kumar, P. (2021). Coronavirus Disease Predictor: An RNA-Seq based pipeline for dimension reduction and prediction of COVID-19. In Journal of Physics: Conference Series, (Vol. 2089, p. 12025). IOP Publishing. https://doi:10.1088/1742-6596/2089/1/012025 (ISSN: 1742-6588) (Scopus) [Source]

[4] Iqbal, N., & Kumar, P. (2020). A Framework for the RNA-Seq Based Classification and Prediction of Disease. In: Kumar A., Paprzycki M., Gunjan V. (eds) ICDSMLA 2019. Lecture Notes in Electrical Engineering, Vol. 601, p. 74-81. Springer, Singapore. https://doi.org/10.1007/978-981-15-1420-3_8 (ISBN: 978-981-15-1419-7) (Scopus) [Source] ICDSMLA 2019 Springer

Publications (Book Chapter)

[1] Qazi, W., Qazi, S., Iqbal, N., & Raza, K. (2023). The Scope and Applications of Nature-Inspired Computing in Bioinformatics. In Nature-Inspired Intelligent Computing Techniques in Bioinformatics (pp. 3-18). Springer, Singapore. https://doi.org/10.1007/978-981-19-6379-7_1 (e-ISBN: 978-981-19-6379-7 ) (Scopus)

[2] Qazi, S., Iqbal, N., Raza K. (2022). Fuzzy Logic-Based Hybrid Models for Clinical Decision Support Systems in Cancer. In: Raza K. (eds) Computational Intelligence in Oncology. Studies in Computational Intelligence, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-16-9221-5_12 (e-ISBN: 978-981-16-9221-5) (Scopus)

[3] Farooqi, M.R., Tiwari, A., Siddiqui, S., Kumar, N. & Iqbal, N. (2021). Big Data Analytics for Market Intelligence. Big Data Analytics, Taylor & Francis Group, 5: 18. https://doi.org/10.1201/9781003175711-5  (e-ISBN: 9781003175711)

[4] Qazi, S., Iqbal, N. & Raza, K. (2021). Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy. In D. Gupta, U. Kose, B. Le Nguyen, S. Bhattacharyya & B. Nguyen (Ed.), Artificial Intelligence for Data-Driven Medical Diagnosis (pp. 103-126). Berlin, Boston: De Gruyter. https://doi.org/10.1515/9783110668322-005  (e-ISBN: 9783110668322 )

[5] Alam, A., Qazi, S., Iqbal, N., & Raza, K. (2020). Fog, Edge and Pervasive Computing in Intelligent Internet of Things Driven Applications in Healthcare: Challenges, Limitations and Future Use. Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications, John Wiley & Sons, 1: 1-26. https://doi.org/10.1002/9781119670087.ch1 (e-ISBN: 9781119670087) (Scopus)

[6] Farooqi, M.R., Iqbal, N., Singh, N.K., Affan, M. & Raza, K. (2019). Wireless Sensor Networks towards convenient infrastructure in Health care industry: A systematic study. Sensors for Health Monitoring, Elsevier, 5: 31-46. https://doi.org/10.1016/B978-0-12-819361-7.00002-6 (e-ISBN: 978-0-12-819361-7) (Scopus)