Department of Civil Engineering

The Department of Civil Engineering at Shiv Nadar Institution of Eminence (SNIOE) is determined to develop scientific rigor and professional expertise in its undergraduate (B. Tech.) and postgraduate (M.Tech./Ph.D.) students through our wide spectrum of core and elective courses, and to train them as skilled, dynamic, and critical thinkers who can lead the country’s development from the forefront. Therefore, the Civil Engineering department has revamped its UG and PG (including PhD) curriculum toward a systems-based pedagogical approach aiming to address the challenges arising in our interconnected world.  The department has modified both UG and PhD curriculum to create strong learning focus on emerging and disruptive technologies such as Machine Learning (ML), Internet of Things (IoT) and Remote Sensing (RS) along with core subjects at UG and M.Tech./Ph.D. levels. The Department of Civil Engineering has 13 well-experienced faculty members with Ph.D. degrees from various IITs / universities from abroad offering different academic specializations.

B.Tech. (Civil Engineering) curriculum

The department offers B. Tech. level specializations in the areas of (I) Sustainable Infrastructure Systems, (II) Water, Environment, and Climate, and (III) Urban Network Systems. The Civil Engineering B. Tech. curriculum at SNIOE was redesigned in 2022 to mold the UG students into excellent professional engineers. The modified B. Tech. Civil engineering program has been strengthened by including UG courses on “Machine learning for Civil Engineering”, “Computational methods”, “Risk and reliability analysis” and “Remote sensing & GIS”. The availability of exceptionally well-trained faculty members, state-of-the-art laboratories, computational facilities and interaction with industry experts ensures the all-round technological development of our students.

Ph.D. (Civil Engineering) curriculum

The department is committed to promoting multidisciplinary research work among the faculty members and Ph.D. / PG students in order to make meaningful societal contribution. Our Ph.D. students receive mandatory training in “Mathematical methods” and “Probabilistic data analysis & Machine learning” through advanced level courses. The research areas in Civil Engg., department are in perfect synchronization with missions of National importance established by the Govt. of India and Sustainable Development Goals (SDG) established by the United Nations.

Civil Engineering Research Areas

The Department of Civil Engineering is progressing with a mission to promote interdisciplinary research objectives by establishing synergy among the core Civil Engineering domains of Environmental Engineering, Structural Engineering, Water Resources Engineering, Geotechnical Engineering, and Transportation Engineering.

Civil Engineering Laboratories

The Department of Civil Engineering has many well-equipped laboratories for training our UG and Ph.D. students and conduct research work. In addition, the Institution has established several centralized facilities for the researchers with sophisticated research equipment e.g. Scanning electron microscope (SEM), Metallic 3D printer, Energy disperssive X-Ray spectroscopy (EDX), Differential scanning calorimeter (DSC), etc.

Civil Engg. UG Students Laboratories: Strength of Materials Laboratory, Fluid Mechanics Laboratory, Engineering Hydrology Laboratory, Concrete Technology Laboratory, Survey and Geology Laboratory, Environmental Engineering Laboratory, Transportation Engineering Laboratory, and Soil Mechanics Laboratory.

Civil Engg. PG Research Laboratories: Civil Engg. Software Laboratory, Air Quality Laboratory, Disaster Management Laboratory, Air Sampling Laboratory, Advance Materials and Building Energy Laboratory, Theoretical and Computational Geomechanics Laboratory, Agriculture Water Management Laboratory (Field Lab), and River Engineering Laboratory (Field Lab).

Explore Programs under the Department of Civil Engineering

Faculty at Department of Civil Engineering

Ghanshyam Pal
Ghanshyam Pal

Associate Professor and Head

Department of Civil Engineering
Gurmail Singh Benipal
Gurmail Singh Benipal

Professor

Department of Civil Engineering
Sailesh N Behera
Sailesh N Behera

Associate Professor

Department of Civil Engineering
Gopal Das Singhal
Gopal Das Singhal

Associate Professor

Department of Civil Engineering
Sumedha  Moharana
Sumedha Moharana

Associate Professor

Department of Civil Engineering
Gyan Vikash
Gyan Vikash

Associate Professor

Department of Civil Engineering
Shalini  Rankavat
Shalini Rankavat

Assistant Professor

Department of Civil Engineering
Jagabandhu Dixit
Jagabandhu Dixit

Associate Professor

Department of Civil Engineering
Susant Kumar Padhi
Susant Kumar Padhi

Assistant Professor

Department of Civil Engineering
Hitesh Upreti
Hitesh Upreti

Assistant Professor

Department of Civil Engineering
Manoj Kumar Singh
Manoj Kumar Singh

Assistant Professor

Department of Civil Engineering
Ellora Padhi
Ellora Padhi

Assistant Professor

Department of Civil Engineering
Atri Nath
Atri Nath

Assistant Professor

Department of Civil Engineering

Recent Research

Experimental and Numerical Study of Adhesive Bond/Debond Effect on Electro-Mechanical Coupling Behaviour of Piezo-Elastodynamic Structure
Experimental and Numerical Study of Adhesive Bond/Debond Effect on Electro-Mechanical Coupling Behaviour of Piezo-Elastodynamic Structure

Structural health Monitoring (SHM) denotes the process of acquisition, validation, and interpretation of a set of structural data, collected from the structure at different times to facilitate...

Physicochemical Characterization, Formation Mechanism And Human Health Risk Assessment Of Size-Fractionated Particulate Matter
Physicochemical Characterization, Formation Mechanism And Human Health Risk Assessment Of Size-Fractionated Particulate Matter

This research project has been planned for a thorough investigation into physicochemical characterization and formation mechanisms of size-fractionated PM at ten different sizes, ranging from 56 nm...

Development Of AI-Based DSS For Improved Crop Water Use Efficiency Under Regulated Deficit Drip Irrigation Regime
Development Of AI-Based DSS For Improved Crop Water Use Efficiency Under Regulated Deficit Drip Irrigation Regime

This project attempts to provide water saving solution for the two widely grown and consumed crop. Different variants of water saving Regulated Deficit Irrigation (RDI) irrigation regimes will be...

Research Labs of Department of Civil Engineering

Disaster Management Laboratory
Disaster Management Laboratory
Department of Civil Engineering
Environmental Engineering Laboratory
Environmental Engineering Laboratory
Department of Civil Engineering
Air Quality Laboratory
Air Quality Laboratory
Department of Civil Engineering