Potential topics floated by the faculty to the prospective students. You may mail the concerned faculty to know more about the topic. TA means - funded through Instite fellowship, and TAP means funded by Sponsored research including exchange programes.
CE1 - Transportation Systems Engineering
CE2 - Geotechnical Engineering
CE3 - Water Resources Engineering
CE7 - Construction Technology and Management
| No | Specialisation, Professor (email), Topic, Details, (TA/TAP options) |
|---|---|
| 1 | CE1 - Transportation Systems Engineering: Prof. Avijit Maji (avimaji@iitb.ac.in) Topic: Performance-based transportation infrastructure planning, development, and design. Transportation infrastructures such as alignments, railway stations, intersections, and interchanges are planned, developed, and designed by considering various relevant performance measures. This research focuses on understanding these performance measures and optimally developing and designing a transportation infrastructure. (TA) |
| 2 | CE1 - Transportation Systems Engineering: Prof. Avijit Maji (avimaji@iitb.ac.in) Topic: Transport Network Reliability. The proposed research aims to develop an AI-based multi-modal transportation network–focused framework to improve the resilience and reliability of mobility during natural disasters through systematic analysis, modelling, and decision-support tools. (TA) |
| 3 | CE1 - Transportation Systems Engineering: Prof. Avijit Maji (avimaji@iitb.ac.in) Topic: Route Adherence of Delivery Vehicle. Systematic performance evaluation of route adherence behaviour of delivery vehicle drivers becomes crucial to understand route deviations and their implications on delivery time, safety, fuel efficiency, and freight condition. This research focuses on recreating the route followed by the delivery vehicle from the telematics data, developing suitable indices to measure the route adherence, and understanding the reasons for the deviations. (TA) |
| 4 | CE1 - Transportation Systems Engineering: Prof. Nagendra Rao Velaga (vnrao1981@gmail.com) Topic: Alternative Dispute Resolution (ADR) in large scale Transportation Infrastructure Projects. This is an interdisciplinary research project. The selected candidate will be working with both Prof Nagendra Velaga and Prof Venkata Santosh Kumar Delhi. (TA) |
| 5 | CE1 - Transportation Systems Engineering: Prof. Nagendra Velaga (vnrao1981@gmail.com) Topic: Driver behaviour of two-wheeler riders during drunk drive condition. This research is part of SERB funded project. (TA/TAP) |
| 6 | CE1 - Transportation Systems Engineering: Prof. Nagendra Rao Velaga (vnrao1981@gmail.com) Topic: Analysis of pedestrian behaviour during distracted conditions. Supervisor: Prof Nagendra Velaga. (TA) |
| 7 | CE1 - Transportation Systems Engineering: Prof. Nagendra Rao Velaga (vnrao1981@gmail.com) Topic: Safety and operational evaluation for road traffic intersections using drone data . This project is funded under the PUSHPAK – National Mission on Drone Technology Towards Drone Excellence and is undertaken in collaboration with Prof. Tom Mathew and Prof. Sangram Nirmale. (TAP) |
| 8 | CE1 - Transportation Systems Engineering: Prof. Sangram Krishna Nirmale (sangramnirmale@iitb.ac.in) Topic: Pedestrian trajectory analysis and crowd management at urban traffic intersections. This project is funded under the PUSHPAK – National Mission on Drone Technology Towards Drone Excellence and is undertaken in collaboration with Prof. Tom Mathew, and Prof. Nagendra Rao Velaga. (TA/TAP) |
| 9 | CE1 - Transportation Systems Engineering: Prof. Sangram Krishna Nirmale (sangramnirmale@iitb.ac.in) Topic: Urban congestion management and real time mitigation measures at traffic intersections . This project is funded under the PUSHPAK – National Mission on Drone Technology Towards Drone Excellence and is undertaken in collaboration with Prof. Tom Mathew, and Prof. Nagendra Rao Velaga. (TA/TAP) |
| 10 | CE1 - Transportation Systems Engineering: Prof. Gopal R. Patil (gpatil.iitb@gmail.com) Topic: Assessment of national level freight corridors . Fellowship from FedEx ALFA (https://www.ieor.iitb.ac.in/fedexalfa/) (TAP) |
| 11 | CE1 - Transportation Systems Engineering: Prof. Tom V. Mathew (vmtom@iitb.ac.in) Topic: Adaptive traffic signal control from drone data using AI and ML methods. This research topic is intended to develop adaptive traffic signal control using the video data collected using drones. The research involves video data collection using drones, getting traffic parameters using video analytics, applying it for adaptive traffic control of isolated intersection. An innovative aspect of this design is the use of the queue information as well as stop-line discharge information for controlling traffic. The research requires very good traffic engineering concepts, optimization, coding skill, and exposure to AI/ML techniques such as PINN. A broad concept of this research is available in this link. This project is funded under the PUSHPAK – National Mission on Drone Technology Towards Drone Excellence, funded by the Ministry of Electronics and Information Technology, Govt. of India and is undertaken in collaboration with Prof. Nagendra Rao Velaga, and Prof. Sangram Nirmale and the Aerospace Department of IIT Bombay. (TA/TAP) |
| 12 | CE1 - Transportation Systems Engineering: Prof. Gopal R. Patil (gpatil.iitb@gmail.com) Topic: City Logistics Plan for India Cities. Developing Logistic plan for as per the Government of India recommendations. (TA) |
| 13 | CE1 - Transportation Systems Engineering: Prof. Dharamveer Singh (dvsingh@iitb.ac.in) Topic: Understanding Interfacial Bond Strength of Bituminous Layer. Interfacial Bond Strength of Bituminous Layers play a critical role in ensuring good load transfer. (TA) |
| 14 | CE1 - Transportation Systems Engineering: Prof. Dharamveer Singh (dvsingh@iitb.ac.in) Topic: Development of Pavement Distress Model and Maintenance Strategy. Pavement Management of pavement at network or project level depends on distress function. It is important to understand deterioration graph of different pavements, and development of appropriate strategic plan (TAP) |
| 15 | CE1 - Transportation Systems Engineering: Prof. Dharamveer Singh (dvsingh@iitb.ac.in) Topic: Overlay Design Using Innovative Non-destructive Methods. Overlay design for bituminous and concrete roads are carried using various methods. The bituminous pavement overlay is designed using FWD. (TA/TAP) |
| 16 | CE1 - Transportation Systems Engineering: Prof. Archak Mittal (archak@iitb.ac.in) Topic: Trusted Electronic Bills of Lading for Secure and Interoperable Multimodal Logistics Networks in India. This project develops a trusted digital framework for electronic bills of lading that can work seamlessly across ports, road, rail, and freight stakeholders in India. Students will work on real trade workflows, secure data exchange, interoperability, and pilot-ready solutions that can reduce delays, errors, and fraud in logistics. (TAP) |
| 17 | CE1 - Transportation Systems Engineering: Prof. Archak Mittal (archak@iitb.ac.in) Topic: Contactless Human-Centered Driver Monitoring Using Psychological and Physiological Indicators for Safer Driving. This project focuses on detecting fatigue, stress, and distraction in real-world traffic using non-intrusive sensing and intelligent analysis. You will develop practical driver monitoring methods that improve road safety without requiring contact-based wearables or intrusive setups. The work also has potential to build a complete end-to-end driver monitoring stack, including sensing, state estimation, alert generation, and prototype validation in real driving conditions. (TA/TAP) |
| 18 | CE1 - Transportation Systems Engineering: Prof. Archak Mittal (archak@iitb.ac.in) Topic: Indigenous, Low-Cost Weather–Traffic Fusion Modeling Using Real-Time Sensing for Resilient MobilityIndigenous, Low-Cost Weather–Traffic Fusion Modeling Using Real-Time Sensing for Resilient Mobility. This project focuses on understanding how weather conditions such as rain, fog, and flooding affect traffic flow, speed, and reliability. You will develop low-cost sensing and data fusion methods that combine weather and traffic information in real time. The work has potential to build a weather-aware mobility platform for Indian roads that supports safer and more resilient corridor operations. (TA/TAP) |
| 19 | CE1 - Transportation Systems Engineering: Prof. Archak Mittal (archak@iitb.ac.in) Topic: Joint Signal and Vehicle Optimization for Network-Level Traffic Control and Mobility Efficiency Using Connected Vehicle Data. This project focuses on using connected vehicle data to jointly optimize traffic signals and vehicle movement across a road network. You will work on coordinated control strategies, vehicle-signal interaction, and real-time mobility optimization in mixed traffic conditions. The work has potential to build a practical connected mobility platform that supports adaptive traffic control, improved corridor performance, and field validation using V2X-enabled systems. (TAP) |
| 20 | CE1 - Transportation Systems Engineering: Prof. Archak Mittal (archak@iitb.ac.in) Topic: Connected Vehicle Testbeds for Scaled Experimentation, V2X Validation, and Real Vehicle Integration. This project focuses on building a small-scale connected vehicle testbed for experimenting with V2X communication and cooperative mobility algorithms. You will design, prototype, and validate connected vehicle applications in a controlled environment before moving toward real vehicle integration. The work has potential to build a complete test-and-validation platform for connected mobility research, with scope for algorithm development, communication testing, and field deployment. (TA/TAP) |
| 21 | CE1 - Transportation Systems Engineering: Prof. Archak Mittal (archak@iitb.ac.in) Topic: AI-Enabled Road Safety and Infrastructure Monitoring System for Real-Time Risk and Hazard Detection. This project focuses on developing an AI-based monitoring system that can detect crash risk, road hazards, infrastructure problems, and environmental threats in real time. You will work on sensor fusion, edge analytics, and deployable monitoring tools for safer roads and better asset management. The work has potential to build a complete road safety and infrastructure intelligence platform with practical applications in warning, monitoring, and maintenance planning. (TA) |
| 22 | CE1 - Transportation Systems Engineering: Prof. Archak Mittal (archak@iitb.ac.in) Topic: AI-Enabled Road Safety and Infrastructure Monitoring System for Real-Time Risk and Hazard Detection. This project focuses on developing an AI-based monitoring system that can detect crash risk, road hazards, infrastructure problems, and environmental threats in real time. You will work on sensor fusion, edge analytics, and deployable monitoring tools for safer roads and better asset management. The work has potential to build a complete road safety and infrastructure intelligence platform with practical applications in warning, monitoring, and maintenance planning. (TA/TAP) |
| 23 | CE1 - Transportation Systems Engineering: Prof. Solomon Debbarma (sdebbarma@iitb.ac.in) Topic: Understanding the role of leaching compounds on Hydration Kinetics and interfacial bonding of organic asphalt-coated aggregates with Inorganic cementitious matrix. ANRF funded project (TAP) |
| 24 | CE1 - Transportation Systems Engineering: Prof. Solomon Debbarma (sdebbarma@iitb.ac.in) Topic: Use of Fly Ash and CO2 for Sustainable and Resilient Concrete Pavements. CSR funded project (TAP) |
| 25 | CE1 - Transportation Systems Engineering: Prof. Solomon Debbarma (sdebbarma@iitb.ac.in) Topic: Stability of Internal Curing Agents under Different Compactive Energy in sustainable roller compacted concrete pavements. ANRF funded project (TAP) |
| No | Specialisation, Professor (email), Topic, Details, (TA/TAP options) |
|---|---|
| 1 | CE2 - Geotechnical Engineering: Prof. Deepankar Choudhury (deepankarchoudhury@gmail.com) Topic: Geotechnical Earthquake Engineering; Soil Dynamics; Dynamic Soil-Structure Interaction; Railway Geotechnics; Disaster Management in Geotechnical Applications; Sustainable Foundations for High-rise Structures. https://www.civil.iitb.ac.in/~dc/ (TA/TAP) |
| 2 | CE2 - Geotechnical Engineering: Prof. Santiram Chatterjee (santiram.chatterjee@gmail.com) Topic: Physical and numerical modelling of Installation of suction bucket foundations supporting offshore wind turbine structures. This project will deal with several aspects of installation of suction bucket foundations supporting offshore wind turbines in intermediate and deeper waters. A combination of physical and advanced numerical modelling approaches will be adopted for proposing Improved design guidelines. (TA) |
| 3 | CE2 - Geotechnical Engineering: Prof. Prasenjit Basu (prasenjit@iitb.ac.in) Topic: Multiphase flow in posrous media and application in Energy Geotechnics. Several interdisciplinary problems pertaining to heat and mass transport in soil involves multiphase flow. This research will investigate coupled interaction between multiphase flow and gemechanics (TA) |
| 4 | CE2 - Geotechnical Engineering: Prof. Prasenjit Basu (prasenjit@iitb.ac.in) Topic: Thermo-hydro-mechanical behaviour of problematic soils. High shrink-swell potential, high compressibility, sudden loss of shear strength are often treated as the signature of "problematic soils". An elevated soil temperature may play a significant role either to worsen these issues or to improve the ground for geomechanics applications. This research, through a combined experiment-analysis approach, will identify the key parameters and quantify their role in altering soil mechaanical ressponse at elevated ttemperature. (TA) |
| 5 | CE2 - Geotechnical Engineering: Prof. Prof B V S Viswanadham and Prof T I Eldho (viswam@iitb.ac.in) Topic: Geosynthetic Reinforced Tailings dams. The main objective of this research topic is to understand the response of tailings dams with and without geosynthetic reinforced layers subjected to hybrid loading (flooding induced seepage and pseudostatic seismic loading) . Also exploring the possibility of steepening of slopes of tailings dams. It is proposed to be supported from BRNS. (TA/TAP) |
| 6 | CE2 - Geotechnical Engineering: Prof. Prof B V S Viswanadham (viswam@iitb.ac.in) Topic: Sustainable use of waste materials for landfill cap covers. The objective of this topic is to evolve a possibility of using waste material for constructing landfill cap covers through experimental investigations. (TA/TAP) |
| No | Specialisation, Professor (email), Topic, Details, (TA/TAP options) |
|---|---|
| 1 | CE3 - Water Resources Engineering: Prof. Eldho T.I. (eldho@iitb.ac.in) Topic: 1) Experimental and numerical investigation of hydrodynamics and scouring on submerged pier structures. 2) Hydrological impacts of climate and landuse change on urban watersheds. 1) Experimental and numerical investigation of hydrodynamics and scouring on submerged pier structures - In this topic, the student will investigate the effects of staggered piers on hydrodynamics and scour using PIV and CFD tools such FLOW 3D- Hydro. 2) 2) Hydrological impacts of climate and landuse change on urban watersheds - here student will investigate impactts of urbanization and climate change on hydrology and flooding effects especially on major city like Mumbai. (TA) |
| 2 | CE3 - Water Resources Engineering: Prof. Basudev Biswal (basudev@iitb.ac.in) Topic: Nature-inspired urban drainage network design. Designing urban drainage networks is a classic problem that cannot be directly solved. Optimization algorithms are typically used for such challenges, but standard optimization methods are often computationally inefficient, making real-time implementation during extreme events difficult. However, many optimal networks naturally emerge in nature. This study aims to draw inspiration from nature, particularly river networks, to design more efficient urban drainage systems. (TA) |
| 3 | CE3 - Water Resources Engineering: Prof. Basudev Biswal (basudev@iitb.ac.in) Topic: Physics-based machine learning models for river flow prediction. While machine learning models (a subclass of AI/ML models) generally offer good predictions, they are often considered unreliable in unfamiliar scenarios. Integrating machine learning models with hydrological processes can provide a balanced approach. However, there is currently no standard method for developing process-based machine learning models. This proposed study aims to combine LSTM, a new-generation machine learning model, with the Dynamic Budyko model developed by this group. (TA) |
| 4 | CE3 - Water Resources : Prof. Bellie Sivakumar (b.sivakumar@iitb.ac.in) Topic: Droughts under Future Climate Change Conditions: Propagation, Risks, and Mitigation Strategies. Droughts are one of the most devastating natural disasters and have serious consequences for our water security, agriculture, and socio-economic development. Climate change is anticipated to result in more frequent and greater magnitude droughts in the future. This project aims to develop a novel methodological framework for studying droughts under future climate change conditions. The framework is based on latest developments in network theory and related concepts. The specific objectives are: (1) to identify the sources and sinks of droughts for historical and future periods; (2) to assess drought risk and build risk networks for India at the district level, through developing a multivariate drought index; and (3) to formulate guidelines for proper mitigation strategies for dealing with future droughts. (TA) |
| 5 | CE3 - Water Resources Engineering: Prof. Bellie Sivakumar (b.sivakumar@iitb.ac.in) Topic: Machine Learning and Deep Learning Models for Analysis of Water Quality in Large Rivers. Population explosion, changing climatic conditions, and anthropogenic influences have significantly degraded the quality of water in many rivers around the world. Accurate prediction of water quality in rivers is crucial for river basin planning and management and allocation of water for various sectors, including domestic, agricultural, industrial, and recreational. This project aims to investigate the effectiveness of machine learning and deep learning models for prediction of water quality in large rivers. Several popular machine learning and deep learning models (e.g., Support Vector Machine, Random Forest, Long Short-Term Memory, Convolutional Neural Network, Graph Neural Network) are applied for water quality prediction. The project considers different scenarios for model development and application, including single-station, regional (based on classification of monitoring stations within the basin), and river-basin scale. The performance of these models is also compared with that of popular physics-based water quality models. (TA) |
| 6 | CE3 - Water Resources Engineering: Prof. Arpita Mondal (arpita567@gmail.com) Topic: Characterising Whiplash extreme events in India. TAP topic in MoES funded project 'Compound whiplash extremes in India in a changing climate: Monitoring, Modeling and Prognosis'. (TAP) |
| 7 | CE3 - Water Resources Engineering: Prof. Arpita Mondal (arpita567@gmail.com) Topic: Modeling and prognosis of compound whiplash extreme events in India. TAP PhD Topic in the MoES funded project 'Compound whiplash extremes in India in a changing climate: Monitoring, Modeling and Prognosis' (TAP) |
| 8 | CE3 - Water Resources Engineering: Prof. Arpita Mondal (arpita567@gmail.com) Topic: Compound climate hazards and their impact on agriculture. Candidates with strong background in hydrology, atmospheric/climate science, mathematics and probability and statistics are preferred. Prior experience with computer programming is beneficial. (TA) |
| 9 | CE3 - Water Resources Engineering: Prof. Anshul Yadav (anshul.yadav@iitb.ac.in) Topic: River channel adjustment and morphological evolution following landslide dams. This study explores fluvial morphodynamic responses to landslide dams, focusing on channel adjustment, and sediment dynamics. It analyzes how obstruction alters flow regimes, sediment flux, and river morphology over time. Using flume experiments, field data, remote sensing, and numerical models, the research aims to quantify processes governing river evolution in disturbed systems. (TA) |
| 10 | CE3 - Water Resources Engineering: Prof. Anshul Yadav (anshul.yadav@iitb.ac.in) Topic: Mechanistic investigation of bedload transport using experimental flume studies and CFD–DEM modeling. This research investigates the physics of bedload transport through integrated CFD–DEM modelling and flume experiments. It focuses on particle–fluid interactions, entrainment thresholds, and sediment flux under varying flow conditions. The study aims to bridge grain-scale mechanics with bulk transport behavior, improving predictive models of sediment dynamics in river systems. (TA) |
| 11 | CE3 - Water Resources Engineering: Prof. Manne Janga Reddy (mjreddy@iitb.ac.in) Topic: River basin water planning and operation of reservoir systems under climate change . River basin planning and reservoir operation under climate change requires integrated frameworks that combine hydrological modeling, adaptive reservoir rules, and basin-scale coordination. Climate variability is making traditional reservoir operation rules outdated, pushing water managers toward simulation–optimization, digital twins, and policy-driven basin master plans. Hence, it is vital to explore more research on Adaptive Reservoir Policies, Policy Integration, and Community Participation. Tools and Technqiues: 1) Swarm Intelligence/Evolutionary Algorithms for Optimisation of Reservoir Systems ; 2) AI/ML tools for hydrological prediction and water resources management (TA) |
| 12 | CE3 - : Prof. Manne Janga Reddy (mjreddy@iitb.ac.in) Topic: Developing basin-scale hydrological prediction and flood monitoring/early warning system by integrating Physics-based modeling with Machine Learning, RS/GIS tools . Combining machine learning with physics-based hydrological models is emerging as the most effective way to build robust flood early warning systems, especially under climate change. Hybrid approaches improve accuracy, reduce uncertainty, and allow real-time forecasting for river basins. Tools and Techniques: a) Automatic Calibration of Hydrological Models and Routing Models using Self-Adaptive Evolutionary Algorithms; b) VIC-RAPID-LISFlood-FP modeling framework for hydrological modeling, routing and Flood Inundation Mapping (VIC hydrological model integrated with a RAPID river routing model, and a LISFLOOD-FP hydrodynamic model); c) Integrating satellite imagery with ML techniques/ IoT tools for hydrological prediction and river basin flood monitoring (TA) |
| 13 | CE3 - Water Resources Engineering: Prof. Manne Janga Reddy (mjreddy@iitb.ac.in) Topic: Developing a smart water distribution management system using Evolutionary Algorithms, AI/ML and IoT tools . Evolutionary algorithms and machine learning are increasingly gaining popularity and being integrated with IoT-based tools to optimize smart water distribution systems, enabling predictive management, leak detection, and efficient resource allocation. These technologies are transforming traditional water grids into intelligent, adaptive infrastructure. Tools and Techniques: a) Self-Adaptive Single /Multi-objective Differential Evolution for Parameter Calibration and Design of Water Distribution Systems; b) Model-based and data-driven ML techniques for leak detection and localisation in pipeline networks; (TA) |
| 14 | CE3 - Water Resources Engineering: Prof. V. Jothiprakash (vprakash@iitb.ac.in) Topic: Evaluating the Relationship Between Temperature, Precipitation incorporating the Land Use and Land Cover. Land use and land cover change (LULC) is a major driver of change. Understanding the relationship between land use and land cover (LULC) Changes and regional climate variables has become increasingly critical in the context of accelerating environmental change. Forest cover, in particular, plays a pivotal role in regulating local and regional climate through its influence on precipitation patterns and changes in temperature. To examine these changes, this study leverages freely available observed meteorological datasets alongside high-resolution remote sensing data, carefully selected to ensure compatibility in spatial resolution and temporal availability. The study aims to capture the evolving relationship between forest cover change and regional climate variability over the Indian forest cover. Machine learning models will be employed to predict and project changes in forest cover in response to variations in rainfall and temperature. (TAP) |
| No | Specialisation, Professor (email), Topic, Details, (TA/TAP options) |
|---|---|
| 1 | CE4 - Structural Engineering: Prof. Manish Kumar (mkumar@iitb.ac.in) Topic: Analysis and design of structures against impact and blast effects. Research would involve analytical, experimental and numerical work. Candidate should be open to learn new skills and willing to work on challenging tasks in demanding environment. Prospective candidates are encouraged to reach out and discuss with my current PhD students to assess their suitability to our research group. (TA) |
| 2 | CE4 - Structural Engineer: Prof. Tushar Kanti Mandal (tushar.mandal@iitb.ac.in) Topic: Mechanistic Modelling of Fracture and Fatigue in Additively Manufactured and Repaired Structures. . This research aims to develop a multiscale modelling framework to predict fracture and fatigue behaviour in additively manufactured (AM) and repaired components. Addressing challenges such as microstructural heterogeneities, residual stresses, and defects, the model integrates crystal plasticity for micro-scale analysis and phase-field fracture methods for macro-scale failure predictions. By coupling fatigue indicators with adaptive numerical techniques, the framework captures crack initiation, propagation, and structural integrity under operational conditions. This approach provides a computationally efficient tool for optimising AM processes and repair strategies, ensuring safe and reliable applications in aerospace, automotive, energy, and space industries. (TAP) |
| 3 | CE4 - Structural Engineering: Prof. Tushar Kanti Mandal (tushar.mandal@iitb.ac.in) Topic: Microstructure-informed nonlocal fracture modelling of polymer composites.. This is a research project in collaborations with Prof. M. Rahaman (IITBBS) and Prof. Jaya Balia (IITB, MEMS), involving theoretical modelling and experimental components. The work will explore the phase field fracture models with micropolar elasticity, to undercover the fracture mechanisms of polymer composites. (TAP) |
| 4 | CE4 - Structural Engineering: Prof. Tushar Kanti Mandal (tushar.mandal@iitb.ac.in) Topic: Multi-Physics Modelling of Biodegradable Magnesium Alloy Implants. This research project aims to improve the safety and reliability of biodegradable magnesium implants by developing advanced models to better predict how they degrade inside the human body. Magnesium is a promising material due to its ability to naturally dissolve and its similarity to bone, but its corrosion is often too rapid and unpredictable. We will combine material structure, chemistry, and mechanical behavior in a unified computational framework to understand processes such as corrosion, surface film formation, and cracking. Using experimental data and modern simulation techniques, along with machine learning, we aim to create a predictive tool that supports the design of safer, longer-lasting implants and improves patient outcomes. This is a collaborative research project with Prof. Emilio Martinez-Paneda, University of Oxford (UK) and Prof. Javier LLorca, IMDEA Materials Lab (Spain). (TA) |
| 5 | CE4 - Structural Engineering: Prof. Tushar Kanti Mandal (tushar.mandal@iitb.ac.in) Topic: Mechanistic Modelling for Next Generation Solid-State Sodium-ion and Multivalent Batteries. This research project focuses on advancing next-generation solid-state batteries based on abundant and sustainable elements such as sodium, magnesium, and zinc, with a strong emphasis on computational mechanics. While these alternatives to lithium offer significant potential for safer and more scalable energy storage, their performance is limited by challenges such as material degradation, interfacial instability, and reduced lifespan. We will develop advanced multiphysics computational models that consistently integrate mechanics, electrochemistry, and material behaviour to understand processes such as deformation, fracture, and dendrite formation at the microscale. By combining physics-based modelling with data-driven approaches, we aim to design improved electrode and electrolyte materials and create predictive tools to guide battery development. This work will support the development of longer-lasting, safer, and more efficient energy storage technologies. The project includes collaboration with the MEMS department at IIT Bombay. (TA) |
| 6 | CE4 - Structural Engineering: Prof. Swagata Basu (swagatab@iitb.ac.in) Topic: Risk, Reliability, and Resilience of Bridges under Extreme Natural Hazards. Please visit my website (https://swagatabasu.wixsite.com/swagata) for further information related to my research (TA) |
| 7 | CE4 - Structural Engineering: Prof. Arghadeep Laskar (laskar@iitb.ac.in) Topic: Seismic Performance of FRP Reinforced Concrete Structures. The research topic would involve investigation of novel techniques to implement FRP reinforcements for earthquake resistant structural concrete members through FEA investigations. Numerical simulations would be performed to study the seismic performance of concrete structures reinforced with FRP bars and thereby investigate the feasibility of using FRP rebars for earthquake resistant structural design. Small scale experimental investigations can also be performed to corroborate the findings from the numerical studies. (TA) |
| 8 | CE4 - Structural Engineering: Prof. Mandar M. Inamdar (minamdar@iitb.ac.in) Topic: Nonlinear Mechanics and Stability of Thin-Walled Structures. **Basic Description:** Thin-walled structures such as plates and shells exhibit rich mechanical behavior under large deformations, including buckling, post-buckling, and shape changes. This project focuses on understanding and modeling such nonlinear responses, especially in the presence of internal effects such as residual stresses or imposed deformations (e.g., thermal or growth-like strains). The aim is to develop computational models that can capture stability and deformation patterns in these systems. **Work Involved:** - Formulation of nonlinear models for plates and shells - Computational implementation (e.g., MATLAB/Python, FEM or energy-based methods) - Analysis of stability, buckling, and post-buckling behavior - Study of deformation and shape evolution under combined loading and internal effects - Use of data-driven or computational techniques to infer model parameters or internal fields from observed deformations **Background Reading:** - Nonlinear structural analysis: [https://en.wikipedia.org/wiki/Nonlinear_structural_analysis](https://en.wikipedia.org/wiki/Nonlinear_structural_analysis) - Shell structures: [https://en.wikipedia.org/wiki/Shell_structure](https://en.wikipedia.org/wiki/Shell_structure) (TA) |
| 9 | CE4 - Structural Engineering: Prof. Jayadipta Ghosh (jghosh@iitb.ac.in) Topic: Consideration of Multi-hazard Scenarios for Fragility Assessment of Highway Bridges in a Changing Climate. The topic will comprise of multiple loading scenarios like floods, seismic loads, corrosion deterioration. Requires a working background and experience in modeling and statistical analysis. Even if you do not have this background, a keen interest to learn is welcome and encouraged. (TA) |
| 10 | CE4 - Structural Engineering: Prof. Meera Raghunandan (meerar@iitb.ac.in) Topic: Multi-Hazard Resilience Assessment of Structures under Flood and Seismic Risks. The topic focusses on assessing the performance of structures under the combined impacts of flooding and earthquakes in a probabilistic framework using nonlinear modelling and dynamic analysis. (TA) |
| 11 | CE4 - Structural Engineering: Prof. Ashish Pal (ashish.pal@iitb.ac.in) Topic: System Identification of nonlinear dynamic systems using interpretable machine learning methods for applications in structural health monitoring. Data-driven methods for equation discovery have proved to be helpful in identifying the nonlinearities from the vibrational response of the structure. This research project aims to leverage the power of interpretable machine-learning methods to help identify the nonlinearities in the structure and further build a digital model that can replicate the behavior of the structure. Further, exploring applications in structural health monitoring. (TAP) |
| 12 | CE4 - Structural Engineering: Prof. Ashish Pal (ashish.pal@iitb.ac.in) Topic: Development of computer vision-based sensing technology and machine learning methods for bridge health monitoring. The displacement profile of the bridge can be used to infer it's intrinsic properties. These properties can be utilized to build damage indicators for the presence, location and severity of damage. Getting the full profile of such a large structure is impractical using traditional sensing methods, therefore, computer-vision methods will be explored to use camera as a displacement sensor. Methodologies will be build to achieve highly accurate displacement profile using noisy video data. End-to-end machine learning framework would be built to further infer damage characteristics. (TA) |
| 13 | CE4 - Structural Engineering: Prof. Siddhartha Ghosh (ghoshs@iitb.ac.in) Topic: Data‑Driven Seismic Reliability and Risk Assessment of Steel Bridges under Environmental Deterioration. This project aims to develop a data-driven, multi-hazard framework for quantifying the seismic reliability, performance degradation, and network-level risk of corroding steel bridges. The research integrates (i) environmental deterioration science, (ii) steel bridge performance modelling, (iii) machine learning based deterioration prediction, and (iv) probabilistic seismic fragility and reliability assessment (TA) |
| 14 | CE4 - Structural Engineering: Prof. Siddhartha Ghosh (ghoshs@iitb.ac.in) Topic: Development of Aerodynamic Load Codification Framework for Tensile Membrane Structures Suitable for Wind Load Design Codes. This research requires CFD analysis of tensile membrane structures, considering fluid-structure interaction where necessary. The candidate should have a strong knowledge of numerical analysis, scientific computing, and structural design code development; but most importantly experience of performing analysis and design of tensile membrane structures (TA) |
| 15 | CE4 - Structural Engineering: Prof. R S Jangid (rsjangid@gmail.com) Topic: Seismic response of the base-isolated structures. This will involve the analysis and design of the base-isolated structures. Supplementary devices to control the isolation deformation and superstructure acceleration will be utilized. (TA) |
| 16 | CE4 - Structural Engineering: Prof. R S Jangid (rsjangid@gmail.com) Topic: Passive control systems for earthquake-resistant design of the structures. This will involve the analysis and design of the structures using passive control devices. The effects of control devices on the response of the structure and earthquake acceleration will be investigated. (TA) |
| 17 | CE4 - Structural Engineering: Prof. R S Jangid (rsjangid@gmail.com) Topic: Seismic response of the adjacent structures connected with dampers. This will involve the analysis and design of the adjacent structures connected via control/damper devices. The effects of control devices on the response of the adjacent structures and earthquake forces will be investigated. (TA) |
| 18 | CE4 - Structural Engineering: Prof. Meera Raghunandan (meerar@iitb.ac.in) Topic: Seismically Resilient Steel Structures. The research focuses on evaluating and improving the ability of steel buildings to resist and recover from earthquake forces through advanced design and engineering strategies. (TA) |
| No | Specialisation, Professor (email), Topic, Details, (TA/TAP options) |
|---|---|
| 1 | CE5 - Ocean Engineering: Prof. Gowri Shankar C (cg.shankar@iitb.ac.in) Topic: Hyper-Resolution Coastal Flood Mapping: Integrating Satellite-Derived Sea Surface Height and UAV-Based Topo-Bathymetry for Nearshore Hydrodynamic Modeling. Accurate storm surge prediction is essential for protecting low-lying coastal regions of India. Existing models perform well offshore but show high uncertainty nearshore due to coarse Digital Elevation Models that miss fine-scale terrain features. This study proposes integrating satellite Sea Surface Height data for offshore conditions and UAV-based topo-bathymetry for detailed nearshore mapping. The goal is to assess improvements in flood extent, depth and duration using high-resolution terrain in hydrodynamic models. The project aims to build an automated modeling pipeline that enhances coastal flood forecasts, enabling better early warnings and adaptation strategies for vulnerable communities. (TAP) |
| 2 | CE5 - Ocean Engineering: Prof. Gowri Shankar C (cg.shankar@iitb.ac.in) Topic: Baroclinic Influence on Storm Surge Dynamics. This research aims to understand how variations in temperature and salinity create differences in water density that influence the development and propagation of storm surge. Baroclinic pressure gradients and vertical stratification can alter circulation patterns, modify the timing of surge arrival, and change the intensity of coastal water level rise compared to simpler barotropic models. Recent studies have shown that including baroclinic components can improve the representation of surge amplitudes and provide a more realistic depiction of extreme water levels. This work will investigate the physical mechanisms through which stratification and density driven flows interact with wind forcing and atmospheric pressure fields, ultimately affecting total surge response during severe storm events. (TA) |
| 3 | CE5 - Ocean Engineering: Prof. Gowri Shankar C (cg.shankar@iitb.ac.in) Topic: Wave Boundary Layer Influence on Wind Stress, Tropical Cyclone Forcing, and Ocean Response. This research explores how wave induced processes within the wave boundary layer modify the exchange of momentum between the atmosphere and ocean under tropical cyclone conditions. As waves grow steep and begin to break, they alter the effective aerodynamic roughness of the ocean surface, which changes the magnitude and structure of wind stress applied to the upper ocean. These changes affect surface currents, vertical mixing, and the ocean’s dynamical response during extreme wind events. A refined understanding of wave boundary layer behavior is essential for improving the representation of wind stress in cyclone driven ocean modeling and for achieving more accurate predictions of ocean conditions and total water levels during severe storms. (TA) |
| 4 | CE5 - Ocean Engineering: Prof. Srineash V K (srineash@iitb.ac.in) Topic: Hydrodynamic Stability Investigations of Coastal Protection Structures. Advanced Hydrodynamic Stability Investigations of Coastal Protection Structures under Extreme Wave and Climate Conditions ; Experimental and Numerical Modelling of Wave–Structure Interactions for Hydrodynamic Stability of Coastal Defenses; (TA) |
| 5 | CE5 - Ocean Engineering: Prof. Srineash V K (srineash@iitb.ac.in) Topic: Multi-Functional Coastal Structures for Integrated Shoreline Protection and Renewable Energy Generation. Design of Multi-Functional Coastal Infrastructure for Integrated Shoreline Protection and Ocean Energy Harvesting; Hybrid Wave Energy–Coastal Protection Systems: From Conceptual Design to Real-World Deployment (TA) |
| 6 | CE5 - Ocean Engineering: Prof. Srineash V K (srineash@iitb.ac.in) Topic: Integrated Wind-Wave Energy Conversion System for India's Offshore Region(s). Numerical and Experimental Investigation of Coupled Wind–Wave Energy Conversion Systems under Indian Ocean Conditions (TAP) |
| 7 | CE5 - Ocean Engineering: Prof. Srineash V K (srineash@iitb.ac.in) Topic: Dredging Analysis and Optimization for Sustainable Sediment Management in Coastal and Port Environments. Analysis and optimization of dredging practices to enable sustainable sediment management in coastal and port environments. By integrating hydrodynamic modelling, field data, and predictive tools, the study aims to minimize dredging costs while maintaining navigational safety and environmental balance. (TAP) |
| 8 | CE5 - Ocean Engineering: Prof. Manasa Behera, Ananth W and Srineash V K (a.wuppukondur@iitb.ac.in) Topic: Compound flood modelling for Mumbai Metro Region . We are offering two PhD positions as part of an interdisciplinary research project ffunded by DST Climate Change Program focused on compound flood modeling for the Mumbai region. The project aims to integrate hydrological, hydraulic, and coastal flood models to better understand the interactions between extreme rainfall, river discharge, and storm surge. Through advanced numerical modeling and data-driven approaches, the research will support improved flood forecasting, risk assessment, and disaster preparedness strategies for highly vulnerable urban coastal environments. The work will be carried out under the supervision of Prof. Manasa Behera, Prof. Ananth W., and Prof. Srineash V. K., with opportunities for collaboration and real-world impact. (TAP) |
| 9 | CE5 - Ocean Engineering: Prof. Ananth W and Arpita Mondal (a.wuppukondur@iitb.ac.in) Topic: Understanding effectiveness of mangrove forests for coastal flood protection . We are offering a PhD opportunity under a research project aimed at understanding the interaction between storm surge dynamics and mangrove forests in the Sundarbans region. The project will investigate how mangrove vegetation influences waves during extreme events such as cyclones. The outcomes will contribute to improved coastal management strategies and disaster risk reduction in vulnerable deltaic environments. (TAP) |
| No | Specialisation, Professor (email), Topic, Details, (TA/TAP options) |
|---|---|
| 1 | CE6 - Remote Sensing: Prof. RAAJ Ramsankaran (ramsankaran@iitb.ac.in) Topic: InSAR based Glacier Monitoring. The proposed research involves use of Interferometric SAR (InSAR) technique for monitoring glacier health across different mountain ranges. The work involves extensive SAR data processing using open source algorithms, minor improvements in the algorithm, field work in high altitude glaciers in Himalayas. Students with experience in InSAR will be preferred. Knowledge about glacier dynamics is desirable. (TA) |
| 2 | CE6 - Remote Sensing: Prof. J. Indu (indusj@iitb.ac.in) Topic: RADAR Data for Pest Management. Ongoing work with collaborators from SAC, ISRO (TA) |
| 3 | CE6 - Remote Sensing: Prof. J. Indu (indusj@iitb.ac.in) Topic: Synergistic use of SWOT and optical data for monitoring Rivers. With collaborators in France (TA) |
| 4 | CE6 - Remote Sensing: Prof. Eswar Rajasekaran (eswar.r@iitb.ac.in) Topic: ABove Ground biomass estiamation using SAR and other optical remote sensing datasets. The project aims at estimating above ground biomass over plantation areas using SAR and other optical remote sensing datasets. Selected student must ahve strong fundamentals in microwave remote sensing. May need to collaborate with the microwave lab at CSRE IITB. (TAP) |
| 5 | CE6 - Remote Sensing: Prof. Eswar Rajasekaran (eswar.r@iitb.ac.in) Topic: Agricultural Remote Sensing. This involves twao tasks: (i) Crop classification and (ii) plan protection. Student with agricultural science background needed. Strong background in remote sensing especially SAR. (TA) |
| No | Specialisation, Professor (email), Topic, Details, (TA/TAP options) |
|---|---|
| 1 | CE7 - Construction Technology and Management: Prof. Arnab Jana (arnab.jana@iitb.ac.in) Topic: AI-enabled drone-based image analytics for land use planning and service assessment. AI-enabled drone-based image analytics is emerging as a powerful tool for improving decision-making in Land Use Planning and urban service assessment. High-resolution drone imagery, when combined with Artificial Intelligence and Computer Vision, enables automated detection and classification of urban features such as buildings, roads, green spaces, and informal settlements. The objective of the research is to develop methodology and design algorithms to monitor urban growth, and assess the spatial distribution of infrastructure and public services. AI-driven analytics can also help identify service gaps and thereby supporting data-driven and responsive urban planning. (TA/TAP) |
| 2 | CE7 - Construction Technology and Management: Prof. Arnab Jana (arnab.jana@iitb.ac.in) Topic: Energy estimation and liveability assessment in urban housing. Energy estimation and liveability assessment in urban housing are critical components of sustainable urban development. Estimating residential energy consumption involves analysing factors such as building design, materials, household characteristics, climate conditions, and appliance usage. At the same time, liveability assessment evaluates aspects such as indoor thermal comfort, ventilation, access to basic services, neighbourhood amenities, and environmental quality. Integrating energy estimation with liveability indicators helps planners and policymakers understand how housing design and urban form influence both energy efficiency and residents’ quality of life. The research objectives look into mapping of urban morphological clusters with energy needs and the project the change with respect to the change of urban forms. The methodology would incorporate AI-based image analysis and econometric modelling to estimate the urban forms and project future demands. (TA) |
| 3 | CE7 - Construction Technology and Management: Prof. Arnab Jana (arnab.jana@iitb.ac.in) Topic: Impact of multi-modality on short trips in cities of India. The impact of multimodality on short trips in Indian cities is significant for improving accessibility. Here, multimodality refers to the integration of different transport modes—such as walking, cycling, buses, metro systems, and intermediate public transport—to enable seamless travel. Since a large share of trips in Indian cities are short-distance, effective integration of these modes can enhance last-mile connectivity and reduce travel time, supports more livable and accessible urban environments. A robust methodology for assessing the impact of multimodality on short trips in Indian cities would combine a) Development of robust practice for collecting the data and then develop framework to integrate travel behavior analysis, spatial analysis, and statistical modelling. (TA) |
| 4 | CE7 - Construction Technology and Management: Prof. Arnab Jana (arnab.jana@iitb.ac.in) Topic: Creating the three-dimensional growth model for Indian cities.. Creating a three-dimensional growth model for Indian cities involves analyzing how urban areas expand not only horizontally but also vertically to accommodate increasing population and economic activity. This approach integrates spatial datasets such as building heights, floor area ratios, land-use patterns, and infrastructure networks to understand vertical densification and urban form. The objective is to generate 3D urban models that capture the intensity and pattern of development across cities. The AI based model should aid in anticipating future growth pressures in rapidly urbanizing Indian cities (TA) |
| 5 | CE7 - Construction Technology and Management: Prof. Varun Kumar Reja (varunreja@iitb.ac.in) Topic: Artificial Intelligence, Computer Vision, and Data-Driven Construction. Developing intelligent systems for analysing visual and project data to improve construction monitoring, safety, productivity, and decision-making. Opportunities for collaboration with international supervisors may be available for suitable topics. (TA/TAP) |
| 6 | CE7 - Construction Technology and Management: Prof. Varun Kumar Reja (varunreja@iitb.ac.in) Topic: Digital Twins for Smart Infrastructure and Information Management. Creating data-driven digital representations of infrastructure to support lifecycle management, maintenance planning, and effective information exchange. Some topics may involve collaboration with international supervisors or partner research groups. (TA/TAP) |
| 7 | CE7 - Construction Technology and Management: Prof. Varun Kumar Reja (varunreja@iitb.ac.in) Topic: Extended Reality and Human–Technology Interaction in Construction. Exploring AR/VR/MR and immersive interfaces to enhance training, visualisation, collaboration, and interaction with digital construction systems. International co-supervision opportunities may also be possible depending on the project. (TA/TAP) |
| 8 | CE7 - Construction Technology and Management: Prof. Muhammad Salman (msalman@iitb.ac.in) Topic: Corrosion behaviour and control in sustainable concrete systems.. The topic deals with understanding the fundmentals of corrosion behaviour in low clinker concrete systems and subsquently devise corrosion control mechanisms for them. (TA) |
| 9 | CE7 - Construction Technology and Management: Prof. Varun Kumar Reja (varunreja@iitb.ac.in) Topic: Multimodal Sensing and Data Fusion for Intelligent Construction Monitoring. Integrating data from cameras, LiDAR, drones, and sensors to enable accurate, scalable, and automated monitoring of construction and infrastructure systems. Suitable candidates may also have opportunities to work with international collaborators. (TA/TAP) |
| 10 | CE7 - Construction Technology and Management: Prof. Muhammad Salman (msalman@iitb.ac.in) Topic: Durablility studies of reinforced concrete with non-ferrous reinforcements. Alternate rebar option for making reinforced concrete shall be explored in this work. (TA/TAP) |
| 11 | CE7 - Construction Technology and Management: Prof. Prakash Nanthagopalan (prakashnanthagopalan@gmail.com) Topic: 3 D Concrete Printing. Developing printable materials with OPC based and Alkali activated based mortar/concrete system and assessing its durability and fracture mechanics aspect (TA) |
| 12 | CE7 - Construction Technology and Management: Prof. Prakash Nanthagopalan (prakashnanthagopalan@gmail.com) Topic: Rheology of cementitous pastes,mortar and concrete . Fundamental understanding of the behavioural changes on cementitous pastes with mutiple SCMs and chemical admixtures (TA) |