Dr. Rahul Biswas
Brief Bio
| Brief Bio |
|---|
| Dr. Rahul Biswas is an Assistant Professor in the Applied Mechanics Department at Visvesvaraya National Institute of Technology (VNIT) Nagpur. He holds a distinguished academic background, having completed both his M.Tech and Ph.D. in Structural Engineering from the esteemed NIT Patna. His primary research interests center around Concrete Technology and the utilization of Sustainable Materials. Additionally, he is actively involved in exploring the application of Machine Learning in the field of Structural Engineering. His research has contributed significantly to the scholarly community, with publications in international journals, national journals, and presentations at conferences. In recognition of his expertise, He serves as an Academic Editor for two reputable journals, "Advances in Civil Engineering" and "Plos One." His editorial role reflects a commitment to maintaining high standards in academic publications and fostering advancements in Structural Engineering. Furthermore, he actively engages in the peer-review process, contributing as a Reviewer for various international journals such as ASCE, Elsevier, Springer, among others. He is also a lifetime member of the Indian Concrete Institute (ICI). |
Education
| Sr. No. | Degree | Year | Specialization | University |
|---|---|---|---|---|
| 1 | B.Tech | 2014 | Civil Engineering | WBUT |
| 2 | M.Tech | 2016 | Structural Engineering | NIT Patna |
| 3 | PhD | 2021 | Structural Engineering | NIT Patna |
Contact Details
| Name: | Phone: | Email: | Address: |
|---|---|---|---|
| Dr. Rahul Biswas Assistant Professor | Land: 0712-2801904, Mobile: +91-8617821340 | rahulbiswas@apm.vnit.ac.in | Department of Applied Mechanics, VNIT Nagpur, South Ambazari Road, Nagpur, 440010 |
Research Area
| Research Interest |
|---|
| Concrete Technology |
| Utilization of Sustainable Materials in concrete |
| Ultra High Performance Concrete |
| Application of Machine Learning in the field of Structural Engineering |
| Sr. No. | Title | Funding Agency | Role | Year | Amount (in Lakhs INR) |
|---|---|---|---|---|---|
| 1 | Assessment of durability properties of UHPFRC and application of integrated metaheuristic algorithm with Artificial Neural Network for predicting the properties | DST SERB | PI | 2023 | 45.5 |
| Sr. No. | Title | Funding Agency | Role | Year | Amount (in Lakhs INR) |
|---|
| Description | Author(s) | Publisher | ISBN | Year |
|---|---|---|---|---|
| Book Chapter | E. Li, J. Zhou, Rahul Biswas, Z. Ahmed | Elsevier | Fragmentation by blasting size prediction using SVR-GOA and SVR-KHA techniques, Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering | 2024 |
| Sr. No. | Patent Title | Application No. | Date | Present Staus |
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| Sr. No. | Title |
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| Sr. No. | Responsibility | Institute | Role | Year |
|---|---|---|---|---|
| 1 | Faculty Mentor of 2nd year Civil | VNIT Nagpur | Monitor Student | 2023 |
| 2 | Faculty Mentor SMP@VNIT | VNIT Nagpur | Monitor Student | 2022-2023 |
| 3 | Professor In-Charge | VNIT Nagpur | Tourism Club | 2023-2024 |
| Sr. No. | Awards |
|---|
| S.No. | Author | Paper Title | Journal | Year |
|---|---|---|---|---|
| 1 | M K Rajak, R Kumar, R Biswas and Sinam Hudson Singh | Light transmitting concrete – A systematic review of research trends | Recent Advances in Material, Manufacturing, and Machine Learning, CRC Press | 2024 |
| S.No. | Author | Paper Title | Journal | Year |
|---|---|---|---|---|
| 1 | D R Kumar, Rahul Biswas, P Samui | A novel approach for assessment of seismic induced liquefaction susceptibility of soil | Journal of Earth System Science | 2024 |
| 2 | A Bardhan, S Kumar, A Kumar, S K Suman, Rahul Biswas | Compressive Strength Estimation of Manufactured Sand Concrete Using Hybrid ANN Paradigms Constructed with Meta-heuristic Algorithms | Iranian Journal of Science and Technology, Transactions of Civil Engineering | 2024 |
| 3 | M. Kumar, Rahul Biswas, D. R. Kumar, . Samui, M R Kaloop, Md Eldessouki | Soft computing-based prediction models for compressive strength of concrete | Case Studies in Construction Materials | 2023 |
| 4 | Rahul Biswas, M Kumar, R K Singh, M Alzara, SBA Sayed, Md Abdelmongy, A M Yosri, S E A Yousef | A novel integrated approach of RUNge Kutta optimizer and ANN for estimating compressive strength of self-compacting concrete | Case Studies in Construction Materials | 2023 |
| 5 | M, Rahul Biswas, D R Kumar, T Pradeep, P Samui | Metaheuristic models for the prediction of bearing capacity of pile foundation | Geomechanics and Engineering | 2023 |
| 6 | K Khan, Rahul Biswas, J Gudainiyan, Md N Amin, H J Qureshi, A M A Arab, M Iqbal | PCA-based hybrid intelligence models for estimating the ultimate bearing capacity of axially loaded concrete-filled steel tubes | Materials | 2022 |
| 7 | Rahul Biswas M K Rajak, R Kumar | Vertical Greenery Systems: a comprehensive review | International Center for Research and Resource Development | 2022 |
| 8 | Rahul Biswas, E Li, N Zhang, S Kumar, B Rai, J Zhou | Development of hybrid models using metaheuristic optimization techniques to predict the carbonation depth of fly ash concrete | Construction and Building Materials | 2022 |
| 9 | A A Alabdullh, Rahul Biswas, J Gudainiyan, K Khan, A H Bujbarah, Q A Alabdulwahab, Md N Amin, M Iqbal | Hybrid Ensemble Model for Predicting the Strength of FRP Laminates Bonded to the Concrete | Polymers | 2022 |
| 10 | K Khan, M Iqbal, Rahul Biswas, Md N Amin, S Ali, J Gudainiyan, A A Alabdullah, A M A Arab | A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms | Polymers | 2022 |
| 11 | A Bardhan, Rahul Biswas, N Kardani, M Iqbal, P Samui, MP Singh, P G Asteris | A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns | Construction and Building Materials | 2022 |
| 12 | M Kumar, V Kumar, Rahul Biswas, P Samui, M R Kaloop, M Alzara, A M Yosri | Hybrid ELM and MARS-based prediction model for bearing capacity of shallow foundation | Processes | 2022 |
| 13 | S Prakash, S Kumar, Rahul Biswas, B Rai | Influence of silica fume and ground granulated blast furnace slag on the engineering properties of ultra-high-performance concrete | Innovative Infrastructure Solutions | 2022 |
| 14 | R Biswas, B Rai, P Samui | Compressive strength prediction model of high-strength concrete with silica fume by destructive and non-destructive technique | Innovative Infrastructure Solutions | 2021 |
| 15 | Rahul Biswas, A Bardhan, P Samui, B Rai, S Nayak, D J Armaghani | Efficient soft computing techniques for the prediction of compressive strength of geopolymer concrete | Computers and Concrete | 2021 |
| 16 | S Kumar, B Rai, Rahul Biswas, P Samui, D Kim | Prediction of rapid chloride permeability of self-compacting concrete using Multivariate Adaptive Regression Spline and Minimax Probability Machine Regression | Journal of building engineering | 2020 |
| 17 | Rahul Biswas, B Rai | Effect of cementing efficiency factor on the mechanical properties of concrete incorporating silica fume | Journal of Structural Integrity and Maintenance | 2020 |
| 18 | Rahul Biswas, B Rai, Pb Samui, S S Roy | Estimating concrete compressive strength using MARS, LSSVM and GP | Engineering Journal | 2019 |
| 19 | Rahul Biswas, P Samui, B Rai | Determination of compressive strength using relevance vector machine and emotional neural network | Asian Journal of Civil Engineering | 2019 |
| 20 | Rahul Biswas, B Rai | Efficiency concepts and models that evaluates the strength of concretes containing different supplementary cementitious materials | Civil Engineering Journal | 2019 |