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Civil Engineering
6206373452
manishk@srmist.edu.in; manishkumar@ist.srmtrichy.edu.in
Geotechnical engineering, AI ML applications in civil engineering problems
course handled
Engineering Graphics and Design, Universal Human Values, Environmental Science, Disaster Management
[1] M. Kumar and P. Samui, “Reliability Analysis of Pile Foundation Using ELM and MARS,” Geotechnical and Geological Engineering, vol. 37, no. 4, pp. 3447–3457, Aug. 2019, doi: 10.1007/s10706-018-00777-x. (ESCI/Scopus Indexed, IF 1.7)
[2] M. Kumar and P. Samui, “Reliability Analysis of Settlement of Pile Group in Clay Using LSSVM, GMDH, GPR,” Geotechnical and Geological Engineering, vol. 38, no. 6, pp. 6717–6730, Dec. 2020, doi: 10.1007/s10706-020-01464-6. (ESCI/Scopus Indexed, IF 1.7)
[3] M. Kumar, A. Bardhan, P. Samui, J. W. Hu, and M. R. Kaloop, “Reliability Analysis of Pile Foundation Using Soft Computing Techniques: A Comparative Study,” Processes, vol. 9, no. 3, p. 486, Mar. 2021, doi: 10.3390/pr9030486. (SCIE Indexed, IF 3.35)
[4] M. Kumar, P. Samui, D. Kumar, and W. Zhang, “Reliability analysis of settlement of pile group,” Innovative Infrastructure Solutions, vol. 6, no. 1, p. 24, Mar. 2021, doi: 10.1007/s41062-020-00382-z. (ESCI/Scopus Indexed, IF 2.3)
[5] B. G. Rajagopal, M. Kumar, P. Samui, M. R. Kaloop, and U. E. Shahdah, “A Hybrid DNN Model for Travel Time Estimation from Spatio-Temporal Features,” Sustainability, vol. 14, no. 21, p. 14049, Oct. 2022, doi: 10.3390/su142114049. (SCIE Indexed, IF 3.88)
[6] M. Kumar, V. Kumar, B. G. Rajagopal, P. Samui, and A. Burman, “State of art soft computing-based simulation models for bearing capacity of pile foundation: a comparative study of hybrid ANNs and conventional models,” Model Earth Syst Environ, vol. 9, no. 2, pp. 2533–2551, Jun. 2023, doi: 10.1007/s40808-022-01637-7. (ESCI/Scopus Indexed, IF 2.7)
[7] M. Kumar and P. Samui, “Reliability Analysis of Pile Foundation Using GMDH, GP and MARS,” 2022, pp. 1151–1159. doi: 10.1007/978-981-16-7160-9_117. (Scopus Indexed, IF )
[8] M. Kumar et al., “Hybrid ELM and MARS-Based Prediction Model for Bearing Capacity of Shallow Foundation,” Processes, vol. 10, no. 5, p. 1013, May 2022, doi: 10.3390/pr10051013. (SCIE Indexed, IF 2.63)
[9] M. Kumar and D. S. T.N., “Genetic programming based compressive strength prediction model for green concrete,” Mater Today Proc, Mar. 2023, doi: 10.1016/j.matpr.2023.03.024. (Scopus Indexed)
[10 R. Biswas et al., “A novel integrated approach of RUNge Kutta optimizer and ANN for estimating compressive strength of self-compacting concrete,” Case Studies in Construction Materials, vol. 18, p. e02163, Jul. 2023, doi: 10.1016/j.cscm.2023.e02163. (SCIE Indexed, IF 6.5)
[11] V. Kumar, A. Burman, and M. Kumar, “Generic form of stability charts using slide software for rock slopes based on the Hoek–Brown failure criterion,” Multiscale and Multidisciplinary Modeling, Experiments and Design, vol. 7, no. 2, pp. 975–989, Jun. 2024, doi: 10.1007/s41939-023-00265-7. (ESCI/Scopus Indexed, IF 1.9)
[12] B. G. Rajagopal et al., “A hybrid Cycle GAN-based lightweight road perception pipeline for road dataset generation for Urban mobility,” PLoS One, vol. 18, no. 11, p. e0293978, Nov. 2023, doi: 10.1371/journal.pone.0293978. (SCIE Indexed, IF 3.75)
[13] M. Kumar, R. Biswas, D. R. Kumar, P. Samui, M. R. Kaloop, and M. Eldessouki, “Soft computing-based prediction models for compressive strength of concrete,” Case Studies in Construction Materials, vol. 19, p. e02321, Dec. 2023, doi: 10.1016/j.cscm.2023.e02321. (SCIE Indexed, IF 6.5)
[14] D. R. Kumar, W. Wipulanusat, M. Kumar, S. Keawsawasvong, and P. Samui, “Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading,” Intelligent Systems with Applications, vol. 21, p. 200314, Mar. 2024, doi: 10.1016/j.iswa.2023.200314. (Scopus Indexed, Q1)
[15] M. Kumar, P. Samui, D. R. Kumar, and P. G. Asteris, “State-of-the-art XGBoost, RF and DNN based soft-computing models for PGPN piles,” Geomechanics and Geoengineering, pp. 1–16, Apr. 2024, doi: 10.1080/17486025.2024.2337702. (SCIE Indexed, IF 1.9)
[16] M. Kumar, D. R. Kumar, J. Khatti, P. Samui, and K. S. Grover, “Prediction of bearing capacity of pile foundation using deep learning approaches,” Frontiers of Structural and Civil Engineering, vol. 18, no. 6, pp. 870–886, Jun. 2024, doi: 10.1007/s11709-024-1085-z (SCIE Indexed IF 2.9)
[17] P. T., D. R. kumar, M. Kumar, P. Samui, and D. J. Armaghani, “A novel approach to estimate rock deformation under uniaxial compression using a machine learning technique,” Bulletin of Engineering Geology and the Environment, vol. 83, no. 7, p. 278, Jul. 2024, doi: 10.1007/s10064-024-03775-x. (SCIE Indexed IF 3.7)
[18] M. Kumar, N. Z. Fathima, and D. R. Kumar, “A Novel XGBoost and RF-Based Metaheuristic Models for Concrete Compression Strength,” 2024, pp. 495–503. doi: 10.1007/978-981-99-6233-4_45. (Scopus Indexed)
[19] M. Kumar, R. Biswas, D. R. Kumar, T. Pradeep, and P. Samui, “Metaheuristic models for the prediction of bearing capacity of pile foundation,” Geomechanics and Engineering, vol. 31, no. 2, pp. 129–147, Oct. 2022, doi: 10.12989/GAE.2022.31.2.129.
[20] V. KUMAR, A. Burman, F. H. M. Portelinha, M. Kumar, and G. Das, “Influence of Variation of Soil Properties in Bearing Capacity and Settlement Analysis of a Strip Footing Using Random Finite Element Method,” Civil Engineering Infrastructures Journal, Dec. 2023, doi: 10.22059/CEIJ.2023.360871.1930. (ESCI/Scopus Indexed)
International and National Conferences:
[1] M. Kumar, N. Z. Fathima, and D. R. Kumar, “A Novel XGBoost and RF-Based Metaheuristic Models for Concrete Compression Strength,” pp. 495–503, 2024, doi: 10.1007/978-981-99-6233-4_45.
[2] M. Kumar and P. Samui, “Reliability Analysis of Pile Foundation Using GMDH, GP and MARS,” in Lecture Notes in Civil Engineering, vol. 203, Springer, Singapore, 2022, pp. 1151–1159. doi: 10.1007/978-981-16-7160-9_117.
Scientific Books Published
Editor of a book titled “Futuristic Trends in Construction Materials & Civil Engineering” Volume 3 Book 6, E ISBN: 978-93-5747-752-9
Patents:
Patent Application No.202341071660 A, Date of filing of Application :20/10/2023, Publication Date : 15/12/2023, “INTELLIGENT SYSTEM INTEGRATION USING PREDICTIVE INFRASTRUCTURE MANAGEMENT AND OPTIMIZATION FOR AUTOMATED BUILDING AND INFRASTRUCTURE ANALYSIS” 1) Dr. Manish Kumar 2)Dr. Sachin Sharma 3)Ambati Supraja 4)Y Kamala Raju 5)Dr. Mehar Babu Ravula 6)REVA University 7)Dr. Safiullah 8)Mohammad Parvej Alam 9)Priyank Udaybhai Trivedi
Patent Design No. 382325-001, “ROBOTIC EXCAVATION ASSISTANT FOR SITE EXPLORATION” published on 27/03/2023, by 1.Dr. Robin Rohit. V 2. Dr. Manish Kumar 3. Mohammad Parvej Alam 4.Divesh Ranjan Kumar 5.Tarun Gehlot
Patent Design No. 381333-001, “POST-DISASTER BUILDING ASSESSMENT DEVICE” published on 12/03/2023, by 1. Krishna Deep 2. Dr. Sri Ram Krishna Mishra 3. Tarun Gehlot 4. Pranoy Debnath 5. Mrs. Mallika Jain 6. Dr. Manish Kumar
Patent Design No. 389159-001, “DEVICE TO PREDICT CONSTRUCTION FAILURE” published on 28/06/2023, by 1.Dr. Manish Kumar 2. Sumit Kumar 3. Dr.Pradeep T 4.Radha Krishna Amritraj 5.Divesh Ranjan Kumar 6.B. Dhilipkumar
Patent Design No. 408941-001, “CONCRETE BLOCK DURABILITY TESTING DEVICE” published on 10/05/2024, by 1. Dr Nipun Kumar 2. Dr T jai Sai 3. Prasenjit das 4.Subrat Kumar Sahu 5.Mr Krishna Deep 6.Dr Manish Kumar
Patent Application No. 202341057300, Date of filing of Application: 26/08/2023, Publication Date: 01/12/2023, “EFFECT OF METAKAOLIN AND QUARRY DUST IN LIGHTWEIGHT AGGREGATE CONCRETE” Dr. J.Rex, Mr.A.Naga Saibaba, Ms.A.Supraja, Dr.R.Prasanna Kumar, Mr.Y.Kamala Raju, Dr.Mehar Babu Ravula, Ms.R.Harika, Manish Kumar
NIL
UHV I during 6th Feb to 10th Feb 2023
UHV II during 15th May to 20th May 2023
UGCApproved ShortTerm Professional Development Programme Under Pandit Madan Mohan Malaviya National Mission on Teachers and Teaching on “‘Implementation of NEP2020 for University and College Teachers”, held from 23 February 03 March, 2023 from IGNOU
A Six-day National Level Online Workshop on “Effective Filing of NAAC AQAR – Streamlining Institutional Performance” held on 13th to 18th March, 2023 organized by IQAC, Vardhaman College of Engineering, Hyderabad.
Faculty Development Program (FDP) on "Holistic Development and Outcome Based Education in the light of NEP-2020" from 13th to 19th June, 2022 Organized by: University of Engineering & Management (UEM), Jaipur
Two Credit FDP course on “Basic Instructional Methods” by NITTTR Bhopal from January to May 2022
Faculty Development Programme on “Higher Education in 21st Century” organized by E&ICT Academy IIT Guwahati held from 13 – 19 June, 2022
Short term course on “Soil and Rock Geotechnics for sustainable Infrastructure held at NIT Patna during 4th to 8th April 2022
Faculty Development Program on “Recent advancements in machine learning, cyber security and IoT” from 06/06/2022 to 12/06/2022, organized by SRM Institute of Science and Technology, Tiruchirappalli campus.
Organized
FDP on “Career development and refresher course” from 01.08.2022 to 07.08.2023 at SRMIST Tiruchirappalli campus.
One-day International Webinar on “Applications of ML in engineering problems” on 22nd April 2022 at SRMIST Tiruchirappalli. Speakers: Dr Pijush Samui, Dr Wenzang Zhang, Dr Pradipta Chakraborty and Dr Lovelyn Rose S
One week Research Orientation program for students on “Technical facets of a research paper” held between 19th to 25th September 2022
Internation Scientific committee member at CIGOS 2023 conference
Program committee member at CVR 2023 conference
Program committee member at AITA 2023 conference
Academic Experience:
Assistant Professor, Department of Civil Engineering, SRM Institute of Science and Technology, Tiruchirappalli, Tamilnadu (Sept 2021 – till now)
Received a fund of Rs 1.93 Lakhs, July 2021 from NewGen IEDC SRM program of SRM Institute of Science and Technology for the Inhouse student Project Titled: “TESSELLATE: An Intelligent swarm drone system with the solar-based charging station.
SRM institute of Science & Technology (SRMIST) Tiruchirappalli Campus , Deemed to be University (Formerly SRM University) SRM Nagar, Trichy-Chennai highway, Near Samayapuram Trichy - 621105, Tamilnadu , India.
1800 202 4565
Academic courses
Academic courses