| 1 |
Numerical investigations on tunnelling induced vibrations in hilly region
Tunnel are lifeline structure has to pass through difficult hilly terrain. The tunnelling operations causes vibrations which may cause the liquefaction of susceptible soils. In hilly regions, the stability of slopes is of major concern. When tunnels are made through it, it causes a loss of soil called volume loss during tunnelling and may cause the instability of soil mass. Moreover, the vibrations caused during tunnelling operation may also results in instability of soil mass. Therefore, the numerical investigation on tunnelling induced vibrations in hilly regions is proposed to examine the concern of stability of tunnel heading and local and global slope stability of soil mass.
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Home Institute: IIT Mandi
Supervisor: Dr. Prasanna Rousseau
School/Dept.: Civil and Environmental Engineering
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Host Institute: SVNIT, Surat
Supervisor: Dr. Jitesh Chavda
School/Dept.: Civil Engineering
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| 2 |
Probabilistic modelling of sorptivity for the durability design of concrete
The sorptivity of concrete serves as a significant parameter in the durability design of concrete structures. A probabilistic approach is needed to capture the influences of mortar, aggregates, and the ITZ on this parameter based on a rigorous nonlinear FEA conducted at the meso-scale level. A conceptual model can be subsequently developed to establish a correlation between the effective hydraulic sorptivity of concrete, the volume fraction of aggregates, and the hydraulic properties of the mortar and ITZ. The probabilistic methodology would offer a valuable tool for the design of concrete structures with enhanced durability.
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Home Institute: IIT Mandi
Supervisor: Dr. Kaustav Sarkar
School/Dept.: Civil and Environmental Engineering
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Host Institute: SVNIT, Surat
Supervisor: Dr. Kashyap A. Patel
School/Dept.: Civil Engineering
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| 3 |
Static and dynamic characterization of expansive soils
Expansive soils are considered as problematic soil as they expand and shrink with addition and removal of water. Structures built on such soil are subjected to uneven static uplift forces resulting in differential settlements, development of stress and cracks in the structural members, and further distress with cycle of swelling and shrinking. During dynamic loading, such soils may also cause an amplification in the intensity of dynamic loads. Therefore, the static and dynamic characterization of expansive soil is proposed to mitigate the problems associated with expansive soils.
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Home Institute: SVNIT, Surat
Supervisor: Dr. Jitesh Chavda
School/Dept.: Civil Engineering
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Host Institute: IIT Mandi
Supervisor: Dr. Prasanna Rousseau
School/Dept.: Civil and Environmental Engineering
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| 4 |
RF Energy harvesting Systems
Radio frequency energy harvesting (RF-EH) is a potential technology via the generation of electromagnetic waves. This advanced technology offers the supply of wireless power that is applicable for battery-free devices, which makes it a prospective alternative energy source for future applications. In addition to the dynamic energy recharging of wireless devices and a wide range of environmentally friendly energy source options, the emergence of the RF-EH technology is advantageous in facilitating various applications that require quality of service. The abundant source of RF-EH from the surroundings sources, including nearby mobile phones, Wi-Fi, wireless local area network, broadcast television signal or DTS, and FM/AM radio signals can be used. Their radiation energy can captured by a receiving antenna and rectified into a working direct current voltage.
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Home Institute: IIT Mandi
Supervisor: Dr. Gopi Shrikanth Reddy
School/Dept.: Computing and Electrical Engineering
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Host Institute: SVNIT, Surat
Supervisor: Dr. Kirti Inamdar
School/Dept.: Electronics Engineering
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| 5 |
Agricultural Waste based Solutions for EMI Shielding
This project focuses on design, development and fabrication of Electromagnetic shields using agricultural waste or biomass as it's raw material. The biomass when undergo a pyrolysis process, it's carbon content increases. This property is useful for microwave absorption. The residue of pyrolysis can be mixed with appropriate polymer and can be converted into any shape which can be used for prevention of microwave pollution.
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Home Institute: SVNIT, Surat
Supervisor: Dr. Kirti Inamdar
School/Dept.: Electronics Engineering
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Host Institute: IIT Mandi
Supervisor: Gopi Shrikanth Reddy
School/Dept.: Computing and Electrical Engineering
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| 6 |
Crop Management System
Majority of Indian farmers are coming in Micro, Small and Medium economic status. They are not having huge fields, which makes difficult for them to adopt the costlier solution to manage the crop production and relevant timely farming activities. The complete low cost designing of the optimum number of sensors and minimal configuration drone based system along with the multi lingual software interface for the crop management system from sowing to harvesting along with the intermediate disease severity prediction and the network of the available economical drone services to help the illiterate farmer to improve his economical status for the sustainability.
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Home Institute: SVNIT, Surat
Supervisor: Dr. Dipti P. Rana
School/Dept.: Computer Science and Engineering
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Host Institute: IIT Mandi
Supervisor: Dr. Radhe Shyam Sharma
School/Dept.: Centre for Artificial Intelligence and Robotics
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| 7 |
Industrial suitability and commercialization of novel SPIF process for DC04 steel materials
Incremental Sheet forming (ISF) is an unconventional metal forming process that is extensively used to manufacture products with free form shapes without using any specialized dies. A computer numerical controlled tool follows a series of small increment steps and deforms the sheet into the desired shape. ISF presents exciting challenges which must be undertaken in order to bring it successfully on a shop floor. Technologists and engineers are focusing on rapid and flexible manufacturing process, which should entice modern industries for its shop floor use. Due to better formability and ease of manufacturing with SPIF process in comparison to conventional forming methods, many researchers worldwide have tried to clinch the feasibility of this process for real world applications.
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Home Institute: SVNIT, Surat
Supervisor: Dr Amrut Mulay
School/Dept.: Mechanical Engineering
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Host Institute: IIT Mandi
Supervisor: Dr Vishal Singh Chauhan
School/Dept.: Mechanical and Materials Engineering
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| 8 |
Lignocellulosic Degradation of Green Waste by Composting and Its Applicability in Soil Amendment
The proposed project aims to biodegrade lignocellulosic waste, such as green waste, using the composting method with an optimized technique and microbial inoculum. The resulting nutrient-rich compost will be analyzed to determine its suitability as a soil amendment and its impact on micro and macro nutrients, including heavy metals. The composting technology used in this project has been developed in the Solid Waste Laboratory at SVNIT, Surat, by several research scholars under the guidance of Dr. K. D. Yadav, and is now state-of-the-art. The project will focus on the applicability of the green waste compost on contaminated soil and its impact on micro/macro nutrients, with collaboration from IIT Mandi under the supervision of Dr. Harshad Kulkarni.
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Home Institute: SVNIT, Surat
Supervisor: Prof. Dr. Kunwar D. Yadav
School/Dept.: Civil Engineering
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Host Institute: IIT Mandi
Supervisor: Dr. Harshad V. Kulkarni
School/Dept.: Civil and Environmental Engineering
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| 9 |
Applying Machine Learning for Security Issues and/or Adversarial Machine Learning
The experimentation and analysis is focussing the machine learning techniques used for addressing the security concerns in the target applications of interest. The research work is also targeted at identifying the threats to the Machine Learning Models and working on the strategies to mitigate the threats. The applications of the interest could be anything from Email Spam Detection, Intrusion Detection, Network Traffic Analysis, Identifying Malicious Network and Port Scanning attempts, Using Deep Learning Model for Network Scanning Detection etc. - that are using Machine Learning Algorithms. The application may also include investigating adversarial samples for Time series classification models OR in general Adversarial attacks on time series prediction and Adversarial Machine Learning broadly.
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Home Institute: SVNIT, Surat
Supervisor: Prof Devesh C Jinwala
School/Dept.: Department of Computer Engineering
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Host Institute: IIT Mandi
Supervisor: Dr Dinesh Singh
School/Dept.: School of Computing and Electrical Engineering
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