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पूर्वोत्तर क्षेत्रीय विज्ञान एवं प्रौद्योगिकी संस्थान   
North Eastern Regional Institute of Science and Technology 
deemed-to-be-university under the Ministry of Education, Govt. of India
Nirjuli - 791109, Arunachal Pradesh 
faculties

Santosh Kumar Tamang

Assistant Professor

Research Interests: Optimization and Soft Computing Techniques for Design and Manufacturing, GPU Computing For FEA, Composite Materials, Machine Learning and Artificial Intelligence, Additive Manufacturing and Molecular Dynamics simulations for Bio-MEMS/NEMS applications.

E-mail: sktnerist[AT]gmail(dot)com, skt[AT]nerist(dot)ac(dot)in,
Phone(EPBX/Office): 03602257401-8 Extn. 6185

For Curriculum Vitae Click here

Google Scholar Profile

Researchgate Profile

  • Professional Background
  • Educational Qualification
  • Administrative Background
  • Teaching Engagements
  • Projects and Thesis Supervised/ Currently Supervising
  • Participation in short term courses
  • Publications
  • Research Project
From To Designation Organisation Nature of Association
          30.12.2014 Till Date Assistant Professor         NERIST     Regular
Degree Subject University Year
Ph.D. Mechanical Engineering NERIST 2018
M. Tech CIMA NERIST 2013
B.E Mechanical Engg.,  COEP, Maharashtra 2011
SSC PCMB CBSE 2007
HSC Science, maths, Social studies, English, Hindi CBSE 2005
From To Designation Organisation
28.08.2015 22.09.2018 Hostel Warden- Block D NERIST
17.01.2018 Till date Member, Institute AICTE cell  
Title Course Code Module Semester
Comprehensive Mechanics ME 3103 Diploma 1st
Operation Research ME 5101 Degree 1st
Materials & shop theory ME 2151 Base 1st
Engineering Mechanics ME 2201 Base 2nd
Prod. Cost & Quality Mang. ME 4201 Diploma 2nd
Mechanical Drawing ME 1251 Base 2nd
Mechanical Sciences ME 2101 Base 1st
Title of Project Names of Students

M.Tech.
Experimental Investigation and Process    Modelling of Machining Al. matrix based Nano-composite. MR. S.K.LALMUAN VAIPHEI
Charaterization  and Optimization of Mg-Sic Nano-composites Mr. Hemanta Doley
B.Tech.
Machining investigation of hybrid composites MUGHAKA B.SEMA (DE/14/ME/08),: MANTU RANGSON (DE/13/ME/104),:NITESH KUMAR YADAV (DE/13/ME/110)
Fuzzy set based optimization of cylindrical grinding process G. Gangmei, : M. Chawang
Course Name Sponsored By Date
Design of Expert in Engineering -An Optimization Tool (DOEOT)  

Self finance

21st Dec-24 Dec'15
Recent Advances in Tribology and materialsforTribological Applications TEQIP April 10-14, 2013

CADD EXCELLENCE

 TEQIP 31st July  to 9th August, 2014

FDP/STTP organized as Coordinator

Name of courses/ seminars/ workshops/ conferences  Duration  Sponsored by
Artificial Intelligence

14-18th Sep’2020

AICTE Training & Learning Academy (ATAL), New Delhi
Advanced Engineering Optimization through Artificial Intelligence 12 -̶ 17 July 2021 AICTE NER New Delhi
Cyber-Physical System: Recent trends and its application to the healthcare system 20 - 25 September 2021 AICTE NER New Delhi
Smart manufacturing-Scope and challenges in research 17 - 21 January 2022 AICTE Training & Learning Academy (ATAL), New Delhi

International Journals:

  1. Mukesh Kumar , S.K. Tamang, Dipika Devi , M. Dabi, K. K. Prasada and R. Thirumalai (2022) “Modeling and optimization of material removal rate and surface roughness for Al6010 HMMCs on WEDM using Response Surface Methodology”. Journal of Ceramic Processing Research. Vol. 23, No. 3, pp. 373-382. (WoS: Impact factor= 1.3)
  2. Senthilkumar K M, Sivakumar A, Shivaji R M, Tamang S K and Giriraj M (2022) “Optimization of stir casting process parameter using response surface methodology”. Journal of Ceramic Processing Research. Vol. 23, No. 2, pp. 233-236.(WoS: Impact factor= 1.3)
  3. S.K. Tamang, Dipika Devi, M. Seenivasan, N. Gopalsamy (2022) “Optimization of surface roughness using Taguchi technique for aluminium metal matrix composite” Vol. 62, No. 4, pp. 2029-2033.(SCOPUS)
  4. Tamang, S. & Chandrasekaran, M. (2021) “Multi-objective Optimization of Turning Performance Characteristics using GA Coupled with AHP based Approach”. International Journal of Integrated Engineering, Vol. 13(6), pp. 126–136 (2021). (WoS: IF=1.6)
  5. Pamir Roy and S.K. Tamang (2021) “COVID-19 drugs invention using deep neural network models: an artificial intelligence approach”. International Journal of Intelligent Engineering Informatics. Vol. 9, No. 2, pp. 176-192.  (WoS: Impact factor= 6.3)
  6. Tamang, S. K., Teyi, N., & Tsumkhapa, R. T. (2021) “Numerical Simulation of Cutting Force in High Speed Machining of Inconel 718. Key Engineering Materials”. Vol. 856, pp. 43–49. (SCOPUS)
  7. Tamang, S., Singh, P., & Datta, B. (2020) “Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique”. Global Journal of Environmental Science and Management, Vol. 6, pp. 53-64. (WoS: Impact factor= 3.4)
  8. Teyi, N., & Tamang, S. K. (2020) “Stress Analysis of a Flange Stiffened FRP Composite Panel with Varying Stacking Sequence”. Journal of Key Engineering Materials. Vol. 847, pp. 9–14. (SCOPUS)
  9. Prasad, K. K., Tamang, S. K., & Chandrasekaran, M. (2020) “Comparative Study on Cutting Force Simulation Using DEFORM 3D Software during High Speed Machining of Ti-6Al-4V”. Journal of Key Engineering Materials, Vol. 856, pp. 50–56.(SCOPUS)
  10. Tamang, S. K., Chandrasekaran, M., Palanikumar, K., Arunachalam, R., 2019. Machining performance optimization of MQL−assisted turning of Inconel-825 superalloy using GA for industrial applications. International Journal of Machining and Machinability of Materials. Vol. 21(2), pp. 43–65. (SCIE; Impact factor : 0.46)
  11. Das, S., Tamang, S. K., Chandrasekaran, M., & Samanta, S. (2019) “Experimental Investigation, Modeling and Optimization of Tribological Parameters of AA6061/SiC/B4C Hybrid Nano Composites”. Journal of Key Engineering Materials, Vol. 801, pp. 83–88. (SCOPUS)
  12. Das, S., Tamang, S.K., Chandrasekaran, M., Samanta, S., 2019. Experimental Investigation, Modeling and Optimization of Tribological Parameters of AA6061/SiC/B4C Hybrid Nano Composites. Key Engineering Materials. Vol. 801, pp.83–88. (Scopus)
  13. Tamang, S. K., Chandrasekaran, M., Sahoo, A. K., 2018. Sustainable machining: an experimental investigation and optimization of machining Inconel 825 with dry and MQL approach. Journal of Brazilian Society Mechanical  Science & Engineering. Vol. 40(8), pp. 374–391.(SCIE; Impact factor : 2.2)
  14. Gangmei, G., Chawang, M., Tamang, S.K., Chandrasekaran, M., 2018. Fuzzy set based optimization for Grinding Al/SiC MMC; an approach to maximize MRR satisfying desired surface roughness. International Journal of Modern Manufacturing Technologies. Vol. 10(1), pp.43–49.(Scopus; Impact factor: 0.2)
  15. Tamang, S. K., Chandrasekaran, M., 2017. Integrated optimization methodology for intelligent machining of inconel 825 and its shop‑floor application. J Braz. Soc. Mech. Sci. Eng. Vol. 39, pp. 865–877. (SCIE; Impact factor : 2.2)
  16. Tamang, S., Natarajan, N., Chandrasekaran, M., 2017. Optimization of EDM process in machining micro holes for improvement of hole quality. J Braz. Soc. Mech. Sci. Eng. Vol. 39, pp. 1277–1287. (SCIE; Impact factor : 2.2)
  17. Chandrasekaran, M., Tamang, S. K., 2017. ANN–PSO Integrated Optimization Methodology for Intelligent Control of MMC Machining.  J. Inst. Eng. India Ser. C. Vol. 98 (4), pp. 395–401. (Scopus; Impact factor : 1.32)
  18. Tapadar, J., Thakur, R., Chetia, P., Tamang, S. K., Samanta, S., 2017. Modeling of WEDM parameters while machining mg-sic metal matrix composite. International Journal of Technology. Vol. 8(5), pp. 878-886. (WoS; Impact factor: 0.46)
  19. Doley, H., Tamang, S.K., Samanta, S., 2017. Experimental Study And Development Of an empirical model for SR And MRR In CNC WEDM of AZ31B Magnesium alloy Based MMNC. Journal of Production Engineering. Vol. 20 (2). PP. 25−33. (Scopus)
  20. Lalmuan, S. K., Das, S., Chandrasekaran, M., Tamang, S.K., 2017. Machining Investigation on Hybrid Metal Matrix Composites: A Review. Materials Today: Proceedings. Vol., 4, pp. 8167–8175. (Scopus)
  21. Tamang, S.K., Chandrasekaran, M., 2015. Modeling and optimization of parameters for minimizing surface roughness and tool wear in turning Al/SiCp MMC, using conventional and soft computing techniques. Advances in Production Engineering & Management. Vol., 10(2), pp. 59−72. (SCIE; Impact factor : 1.54)
  22. Sharma, S., Tamang, S. K., Chandrasekaran, M., Devarasidappa, S., 2014. Fuzzy logic modeling and multiple performance optimization in turning GFRP composites using desirability function analysis. Procedia Materials Science. Vol.,6, pp. 1805 – 1814. (Scopus)
  23. Tamang, S. K., Chandrasekaran, M., 2013. Multi response optimization of surface roughness and tool wear in turning Al/SiC particulate metal matrix composites using Taguchi grey relational analysis. Manufacturing Technology Today, Vol. 10, pp. 14–21. (Scopus)

International Conferences:

  1. Das, S., Tamang, S.K., Chandrasekaran, M., Samanta, S. Experimental Investigation, Modeling and Optimization of Tribological Parameters of AA6061/SiC/B4C Hybrid Nano Composites, 4th International Conference on Composite Materials and Material Engineering, Jan 19-21, 2019, Tokyo, Japan.
  2. Tamang, S.K., Chandrasekaran, M. Experimental investigation, modeling and comparison of cutting power in dry turning of Inconel 825, International Conference on Applied Mechanics and Industrial Systems, 6-8 December 2016, Muscat, Oman.
  3. S.K. Tamang, N.Natarajan, M. Chandrasekaran and R.Thirumalai (2015). "Taguchi multi-objective optimization for improving hole quality in μ−EDM process". International Conference on  Precision, Meso, Micro and Nano Engineering (COPEN-9), IIT Madras, Tamilnadu.
  4. Santosh Tamang and M.Chandrasekaran, “ Application of grey fuzzy logic for simultaneous optimization of surface roughness and MRR in turning Al-SiCp metal matrix composites”, published in 5th International & 26th All India Manufacturing Technology, Design and Research Conference (AIMTDR-2014), ISBN: 978-8-19274-612-8, pp. 832(1-7), IIT Guwahati.
  5. M.Chandrasekaran and Santosh Tamang “Desirability analysis and genetic algorithm approaches to optimize single and multi response characteristics in machining Al-SiCp MMC”, published in 5th International & 26th All India Manufacturing Technology, Design and Research Conference (AIMTDR-2014), ISBN: 978-8-19274-612-8, 653(1-6). IIT Guwahati.
  6. Chandrasekaran, M. and Tamang, Santosh, “ Optimization for Sustainable Production with the Trade-off between MRR and TWR in Micro Electrical Discharge Drilling Process”, published in International Conference on PRECISION, MESO, MICRO, AND NANO ENGINEERING (COPEN-8: 2013) , ISBN: ISBN: 978-93-82880-86-8, pp.182-187, NIT Calicut, Kerala.

Book Chapter : 

  1. Lata, K., Chandrasekaran, M., Tamang, S.K., Ramesh, R., Rana, N.K. (2019). GMAW Investigation of AISI 201 Stainless Steel and Industry Need Optimization Using Genetic Algorithm. In: Narayanan, R., Joshi, S., Dixit, U. (eds) Advances in Computational Methods in Manufacturing. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9072-3-19.

Book Editor

Dr R Thanigaivelan, Dr.Pradeep Kumar Krishnan, Dr. Kamalakanta Muduli, Dr.Santosh Kumar Tamang "New Materials, Processing and Manufacturability" published by Willey International 2023.  (Indexed by Scopus Elsevier)

 8.   Research Project detail  (undergoing)

1.AICTE-NER sponsored research project titled “Development of GPS Based Steering Assist System for Agricultural Tractor”. (Total Cost: Rs. 7,20,000; PI: Anubhab Pal and CO-PI:

Dr. Santosh Kr. Tamang) (Grant received in the year 2021)

2.Research project titled “Study and development of Epoxy-Based Bamboo Composites for shipping Containers using Indigenous Bamboo species of Arunachal Pradesh using Artificial Intelligence (Graph Neural Networks)” sponsored by AICTE, New Delhi. (Total cost: 9,20,000;

PI: Dr. Santosh Kr. Tamang) (Grant received in the year 2022)