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| Project Title | Project Description | Total Months | Number of interns vacancy in the project | Intern Preferences | Department/Center Name | Name of the Faculty Member |
|---|---|---|---|---|---|---|
| Development of system and ML algorithms for Life Detection Under Debris Environments | The project aims to develop low-cost, low-power, short and long range communication technologies to assist rescue personnel in locating life under debris. | Two months | 1 | Pursuing Bachelors/Masters program in CSE, EE, ECE | Electrical and Computer Science Engineering | Dr. Ramnarayan Yadav |
| Properties of Materials based on ab-inito DFT calculations | This project introduces DFT calculations based on quantum mechanics and solid-state physics. | Two Months | 2 | Any bachelors/masters student who has completed an introductory course on quantum mechanics and is ready to work in Linux OS. | Basic Sciences, Physics | Dr. Brajesh Tiwari |
| Drone Navigation in GPS Denied areas | Drone design and calibration, Autonomous drone | Two months | 4 | Pursuing Bachelors/Masters program in EE,CSE, ECS, I&C, Aerospace | Electrical and Computer Science Engineering | Dr. Abhishek Rawat |
| "AI, Machine Learning, and IoT Based Automated Systems for Health, Defence." | ML/DL algorithms can analyze images and 1D signals and identify patterns and trends that may not be immediately visible to the eye. ML algorithms can learn from large datasets of signals and develop models that can accurately detect abnormal patterns and anomalies. The use of ML/DL algorithms in the automated detection of images and signals has several benefits. Firstly, ML algorithms can analyze large amounts of data quickly and accurately. Secondly, ML algorithms can identify patterns and trends that may not be immediately visible to the eye, which can lead to earlier detection of abnormalities and more timely intervention. Finally, ML algorithms can be trained to continuously improve their accuracy over time, which can lead to more reliable and accurate detection of abnormalities. Overall, the use of ML algorithms in the automated detection of physiological signals have the potential to revolutionize healthcare by enabling earlier detection and more timely intervention for a range of conditions.In this project, we aim to develop ML-based automated systems for health, defense application aprticularlt to monitor health of soliders remotely." | Two months | 4 | Pursuing Bachelors/Masters program in CSE,IT, EC,EE, ML, Data Analytics | Electrical and Computer Science Engineering | Dr. Manish Sharma |
| Development of AI and ML based systems for Agriculture and stock market | The aim of the project is to develop IoT and AI based sytems for detecting plant diseases and automated precion farming. | Two months | 1 | Pursuing Bachelors/Masters program in CSE, AI, ME, CE,EE, ECE | electrical and Computer Science Engineering | Dr. Manish Sharma |
| CFD simulation of scramjet combustor incorporating kerosene combustion with turbulent chemistry interaction | In the context of scramjet combustors, the challenge lies in modeling multi-step multi-species combustion while considering turbulence chemistry interaction. This interaction is crucial for accurately simulating supersonic combustion. The focus of our modeling efforts is on suitable fuels for supersonic combustion, including kerosene, ethylene, and hydrogen. To achieve this, we employ various models to capture the intricate interplay between turbulence and chemistry. The models operate within the Reynolds-Averaged Navier-Stokes (RANS) framework, allowing us to explore the intricate effects of turbulence-chemistry interaction. The research aims to enhance our understanding and design capabilities for spacecraft applications involving scramjet engines. | Two months | 1 | Pursuing Bachelors/Masters program in Mechanical Engg. | Mechanical and Aerospace | Dr. Ajit Kumar Parwani |
| Heat pump for heat rejection at elevated temperature | In the context of spacecraft applications, the heat rejection capacity of a space thermal radiator is inherently constrained by its operating temperature. Specifically, the radiator in a passive thermal control system is limited by the temperature of the equipment that supplies the heat. Consequently, the radiator’s temperature remains lower than that of the heat source. To enhance the heat rejection capacity, a heat pump-enabled thermal control system comes into play. This system efficiently absorbs heat from the source region and then transfers it to a radiator operating at a higher temperature. However, this enhanced performance comes at the cost of additional operating power. Notably, this heat pump system offers a crucial advantage: it reduces the total radiator area requirement compared to a passive system. Depending on mission objectives and spacecraft configuration, the radiator can be either deployable or fixed. The focus of this research lies in the design and development of a heat pump system specifically tailored for spacecraft applications. | Two months | 1 | Pursuing Bachelors/Masters program in Mechanical | Mechanical and Aerospace | Dr. Ajit Kumar Parwani |
| Machine Learning Approaches for Modeling and Predicting Boiling Phenomena | Boiling refers to the heat transfer process that occurs during the phase transition from liquid to vapor. Compared to single-phase heat transfer, boiling offers several advantages, including significantly higher rates of heat exchange even at lower temperature differences. Two-phase heat transfer, which involves both liquid and vapor phases, can be quite complex due to the multitude of parameters at play. To address this complexity, intelligent methods, such as artificial neural networks, can be valuable for modeling this type of heat transfer mechanism. In our current research, we aim to achieve accurate predictions for pool boiling heat transfer using these intelligent methods. Additionally, we will explore heat transfer predictions in scenarios involving nanofluids or porous media. By selecting an appropriate method and optimizing its parameter values, we can enhance the precision of our modeling efforts. | Two months | 1 | Pursuing Bachelors/Masters program in Mechanical | Mechanical and Aerospace | Dr. Ajit Kumar Parwani |
| Parametric Studies on Gas Turbine Engine Test Rig | Exploring parametric studies with a gas turbine engine test rig involves methodically adjusting operational factors like fuel flow rate, inlet temperature, and compressor pressure ratio. This analysis uncovers insights into engine performance, efficiency, and combustion behavior. These findings are important for refining turbine design, maximizing fuel efficiency, and addressing environmental concerns. | Two months | 1 | Pursuing Bachelors/Masters program in Mechanical | Mechanical and Aerospace | Dr. Sumit Tripathi |
| AI/ML based approaches for modelling core annular flow | AI/ML-based methodologies for modeling core annular flow (CAF) utilize algorithms to analyze complex fluid dynamics within pipe systems with an objective to predict and optimize the behavior of CAF patterns. The CAF parameters are crucial for understanding multiphase transport phenomena in various industrial applications such as oil and gas production, chemical processing, and transportation pipelines. By integrating datasets and modeling techniques, AI/ML facilitates the development of efficient flow management strategies. | Two months | 1 | Pursuing Bachelors/Masters program in Mechanical | Mechanical and Aerospace | Dr. Sumit Tripathi |
| Numerical/ experimental estimation of scouring around bridge pier foundations | In this project, student(s) will get hands on training on ANSYS Fluent software, with which numerical simulation of the scouring around the bridge pier foundations will be determined. This will be verified experimentally by measuring scouring around the bridge pier foundations in the lab. Therefore, students will also get an exposure to work on open channel (Flume) with Acoustic Doppler Velocimeter (ADV) instrument. | Two months | 1 | Pursuing Bachelors/Masters program in Civil Engg. (Water Resources Engineering) | Civil Engineering | Dr. Manoj Langhi |
| Automatic Number Plate recognition using a smartphone | In this project, labelled image dataset will be provided to you using which, you have to train an AI/ML model that could be run in an smartphone to detect Vehicle license plates. | Two months | 1 | Pursuing Bachelors/Masters program in CSE, EE, ECE | Electrical and Computer Science Engineering | Dr. Ravi Bhandari |
| AI-ML for power system applications | Differential protection relays are used to protect the transformer against winding faults. However, the existing relays are facing a problem of false tripping. Therefore, the project will be on developing an Artificial intelligence (AI)/Machine learning (ML)-based algorithm to avoid false tripping. The work includes acquiring real-time relay data from the Gujarat Energy Transmission Corporation Limited (GETCO), data filtration, algorithm training, and algorithm updation in regular intervals. The project gives insights into understanding the differential protection of the transformer and the application of AI/ML algorithms in real-time. | Two months | 1 | Pursuing Bachelors/Masters program in CSE, AI, ME, CE,EE, ECE | Electrical and Computer Science Engineering | Dr. Krupa Shah |
| Field Oriented Control (FOC) based BLDC/Stepper Motor Drive Electronics | FOC Mode of Motor Control Algorithm is the most advanced form of algorithm in today’s scenario. It allows motor to run more effi ciently, smoothly with quick dynamic response. FOC mode feeds the winding currents via throttle/accelerator. It involves the use of Clarke and Park transforms which is computationally complex activity in real time and needs DSP/ Microcontrollers. It makes stator and rotor magnetic fi elds orthogonal to each other to maximize electromechanical torque. This method involves measuring motor phase currents and rotor position. FOC mode of motor control produces lowest audible noise, takes care dynamic load conditions and provides highest motor effi ciency. | Two months | 1 | Pursuing Bachelors/Masters program in EE, EC, IC (control system knowledge is required) | Electrical and Computer Science Engineering | Dr. Krupa Shah |
| Robotic hand / Prosthetics hand | Design and develop a robotic hand for biomedical instrumentaion / prosthetics. | Two months | 1 | Pursuing Bachelors/Masters program in Electrical, Electronics, Instrumentation, Mechantronics | Electrical and Computer Science Engineering | Dr. Raghavendra Bhalerao |
| Text Analysis and Digital Humanities | This project utilizes text analysis and digital humanities to explore the interaction between literature and dynamic visual interpretation, revealing insights into evolving storytelling and reader engagement in contemporary contexts. | Two months | 1 | Bachelors/Masters students with a background in literature and a foundational understanding of Digital Humanities tools | Humanities and Social Sciences | Dr. I Watitula Longkumer |
| Design of catalyst for Biofuel production | This project aims to design and prepare catalyst for bio diesel production. Structure property relationship will be established. | Two months | 1 | B.Sc., M.Sc., B. Tech., or M.Tech. students (with Science or Engineering background) | Basic Sciences, Chemistry | Dr. Mahuya Bandyopadhyay |
| Photocatalytic degradation of waste water | This project aims to design and prepare catalyst for degradation/adsorption of carcinogens from water | Two months | 1 | B.Sc., M.Sc., B. Tech., or M.Tech. students (with Science or Engineering background) | Basic Sciences, Chemistry | Dr. Mahuya Bandyopadhyay |
| Driver Behavior Analysis using various sensor data | This project aims to collect and analyze the Wearable devices and Mobilie phone sensor data to infer the driver behavior under different scenarios. | Two months | 1 | Pursuing Bachelors/Masters program in CSE/EC/ICT/EE | Electrical and Computer Science Engineering | Dr. Manish Chaturvedi |
| AI application in HVAC systems | To develop the smart and AI based codition moniorting system for HVAC | Two months | 1 | BE/B Tech (ME/EE/CS) | Mechanical and Aerospace | Dr. Dileep Kumar Gupta |
| Simulation of HVAC system (Condition Monitoring System) | To develop the smart and AI based codition moniorting system for HVAC | Two months | 1 | BE/B Tech (ME/EE/CS) | Mechanical and Aerospace | Dr. Dileep Kumar Gupta |
| Tool Wear Monitoring for Aerospace Grade Material using AI/ML | Development of an online tool wear monitoring system in milling | Two months | 1 | BE/ B.Tech in Mechanical Engg. | Mechanical and Aerospace | Dr. Mithilesh Kumar Dikshit |
| Nanometrial reinforced high performance polymer nanocomposites for defence applications | Development of h-BNNS reinforced Kevlar/DGEBA nanocomposites and its characterization. | Two months | 1 | BE/ B.Tech in Mechanical Engg. | Mechanical and Aerospace | Dr. Mithilesh Kumar Dikshit |
| Autonomous Intersection Management using Machine Learning | The project focuses on developing model to decide the crossing order at the intersection without traditional traffic light. We aim to utilize machine learning to improve the traffic efficiency for intersection. | Two months | 1 | Pursuing Bachelors/Masters program in CSE, EE, ECE students | Electrical and Computer Science Engineering | Dr. Ramnarayan Yadav |
| Flow Measurements of outfalls into Sabarmati river | In this project, students will get the field experiments to measure the flow through pipe or open channel using the Cup-type current meter and pigmy type current meter. | Two months | 6 | Pursuing Bachelors/Masters program in Civil Engg. (Water Resources Engineering) | Civil Engineering | Dr. Manoj Langhi |
| RF based drone detection and hacking using Machine Learning | The idea is to monitor Drone RF Signatures and detect it. Also transmit signals and perfom hacking/spoofing | Two months | 2 | BE/B Tech (EE/CS/EC) | Mechanical and Aerospace | Dr. Jagat Jyoti Rath |