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Dr. Ranjan Sarmah

HOD

Networking, Databases, Artificial Intelligence & Bioinformatics.

[email protected]

9435156782

mca

Profile

Name: Dr Ranjan Sarmah

Designation: Assistant Professor

Qualification: MCA, PhD

Area of Interest: Networking, Databases, Artificial Intelligence & Bioinformatics.

Research Experience: 3 years

Teaching Experience: 10 Years

Seminars:

  1. Sarmah R, Begum S.A and Modi M.K, “NEURO-GENETIC HYBRID APPROACH TO PREDICT siRNA EFFICACY IN PLANT VIRUSES” Proceedings of Fourth International conference on Emerging Research in Computing, Information, Communications and Applications (ERCICA-2016). doi.10.1007/978-981-10-4741-1-58. ISBN 978-981-10-4740-4, ISBN 978-981- 10-4741-1.
  2. Presented a Poster on “Single Window based computational pipeline for designing SSR markers from ESTs” in International Conference on Plant Science and Post Genomic Era (ICPSPGE-2011) at Sambalpur University, Odisha.

Training & Workshops:

  1. Attended a 1(one) Day workshop on Competitiveness of MSMES on 29th November, 2021.
  2. Attended a 3 (three) days training on “e-office” sponsored by DoPT, Government of India from 15th to 17th November, 2021.
  3. Conducted a 1 (one) day training on online recruitment process for the officials of Registrar of Cooperative Societies as per the letter vide No. CE 88/2014/278 dated 21st Dec, 2020.
  4. Attended a 1(one) week training on “Deep Learning Using Python” conducted by Apptronix Technologies in collaboration with Mahatma Gandhi Institute of Technology-Hyderabad from 3rd to 7th August, 2020.
  5. Attended a 1 (one) week workshop on “Internet of Things (IoT) and its Applications” under AICTE Training and Learning (ATAL) Academy Programme organized by Department of Computer Science & Engineering, Tezpur University, Assam from 21-25 October, 2019.
  6. Attended a 1(one) week workshop on “ Soft Computing Methodologies in Bioinformatics conducted by Assam Agricultural University in collaboration with ISI (Indian Statistical Unit), Kolkata from December 4-8, 2015.

Webminars:

  1. Attended a Webinar on “Examination in the wake o the UGC guidelines for Universities in view of UGC guidelines for Universities in View of COVID 19 Pandemic & Subsequent Lockdown” conducted by Mewar University on 18th May, 2020.
  2. Attended a Webinar on “Introduction to Machine Learning” organized by Kaziranga University on 11th July, 2020.
  3. Attended a Webinar on “Covid-19: Issues and Challenges” conducted by Regional Computer Lab (RCL), Agartala Regional Centre, IGNOU on 19th July, 2020.
  4. Attended an International Webinar on “Optimization of Type-2 Fuzzy System: Theory and Applications” conducted by Machine Intelligence Research Labs (MIR LABS), USA on 21st July, 2020.
  5. Attended an International Webinar on “Fundamentals of Reinforcement Learning” conducted by Machine Intelligence Research Labs (MIR LABS), USA on 22nd July, 2020.
  6. Attended an International Webinar on “Computational Intelligence in Supply Chain Management” conducted by Machine Intelligence Research Labs (MIR LABS), USA on 22nd July, 2020.
  7. Attended a Webinar on “Covid-19 Pandemic: its Economic and Socio-Psychological Issues” conducted by Pub Majuli College on 26th July, 2020.
  8. Attended a Webinar on “Data-driven Predictive Analytics” conducted by Department of Computer Science, Assam University, Silchar from 5th to 6th August, 2020.

FDP:

  • FDP organized by Assam Rajiv Gandhi University of Cooperative Management from 10-25 September, 2012.

 

Refresher:

  • Refresher Course on Advanced Research Methodology at Teaching Learning Centre, Ramanujan College, University of Delhi, under Ministry of Education from 22nd January to 05th February, 2022.

Orientation:

  • From June 26 to July 24, 2020 at Teaching Learning Centre, Ramanujan College, University of Delhi, under Ministry of Human Resource Development.

  1. Boruah K, Pathak MK, Sarmah R. “A DNA Based Computational Algorithm for Timetable” International Journal of Next Generation Computing (2021). ISSN: 2229-4678, E-ISSN:0976-5034 (UGC Approved & Web of Science)
  2. Sarmah R, Modi M.K and Begum S.A. “ANN Based Feature Selection Approach Using Hybrid GA-PSO for siRNA Design” International Journal of Computer Science & Information Technology (IJCSIT) (2017). ISSN: 0975-3826(online), 0975-4660 (Print). (UGC Approved J.N-2775)
  3. Sarmah R, Begum S.A and Modi M.K. “A hybrid GA-ANN approach in building efficient model for prediction of siRNA knockdown efficiency in Plant Pathogens” International Journal of Computer Science and Information Security (IJCSIS) (2016). ISSN: 1947-5500, 14(12). (Web of Science).
  4. Sarmah R, Begum S.A and Modi M.K. “In SILICO Approach to Design Potential Small Interfering RNA (siRNA) against Plant Pathogens and Diseases” International Journal of Innovative Research and Development. (2015). ISSN: 2278-0211, 4(12), 93-107.
  5. Sahu M, Dehury B, Sarmah R, Sahoo S, Sahu J, Sarma K, Sen P, Modi MK and Barooah M. “In silico prediction and characterization of three-dimensional structure of Actin-1 of Arabidopsis thaliana”.Biotechnologia (2013) 94(4):432-443.
  6. Sarmah R, Sahu J, Dehury B, Sarma K, Sahoo S, Sahu M, Barooah M, Sen P and Modi MK. “ESMP: A high-throughput computational pipeline for mining SSR markers from ESTs”. Bioinformation. (2012) 8(4): 181-184. PMID: 22419843.
  7. Sahu M, Sahu J, Sahoo S, Dehury B, Sarma K, Sarmah R, Modi MK, Sen P and Barooah M. “An approach to delineate primers for a group of poorly conserved sequences incorporating the common motif region”. Bioinformation. (2012) 8(4): 206-208. PMID: 22419837.
  8. Sahu J, Sarmah R, Dehury B, Sarma K, Sahoo S, Sahu M, Barooah M, Modi MK and Sen P. “Mining for SSRs and FDMs from Expressed Sequence Tags of Camellia Sinensis”. Bioinformation. (2012) 8(6): 260-266. PMID: 22493533.
  9. Sarma K, Dehury B, Sahu J, Sarmah R, Sahoo S, Sahu M, Sen P, Modi MK and Barooah M. “A comparative Proteomic Approach to Analyse Structure, Function and Evolution of Rice Chitinases: A Step towards Increasing Plant Fungal Resistance”. Journal of molecular graphics and modelling. (2012).DOI: 10.1007/s00894-012-1470-8.
  10. Dehury B, Sarma K, Sarmah R, Sahu J, Sahoo S, Sahu M, Modi MK, Sen P and Barooah M. “In silico analyses of superoxide dismutases (SODs) of rice (Oryza sativa L.)”. Journal of Plant Biochemistry and Biotechnology. (2012). DOI 10.1007/s13562-012-0121-6.