• Name : Prof. Vazeer Mahammood
  • Designation : Head of Department
  • Email: head.geo@andhrauniversity.edu.in

The Department of Geo-Engineering and Department of Geo-Engineering & Resource Development Technology is an interdisciplinary Department, having routs in the Department of Civil Engineering, as Engineering Geology Division and later as Geo-Engineering Research Laboratory. It became an independent entity, in 1980. The faculty comprises of teachers drawn from different disciplines like geology, geophysics, geography, meteorology, remote sensing and mathematics. In recognition of the significant work carried out in the area of Remote Sensing, the Ministry of Human Resource Development, Government of India, sanctioned financial support to the Department for establishing a "Center for Remote Sensing and Information Systems" in 1983. Being the earliest of such centers in the country, the Department is the first in the country, to start a M.Tech. program in Remote Sensing in 1988 and it is four semester and the Department get similar credits in starting M.Tech. Geo-Engg. program also. The department has successfully carried out several research projects, with multidisciplinary approach funded by ISRO, DST, MOEn, DONCE, DOD, NRSA, AICTE, IGIDR and other govt. and non-govt. organizations. The India Space Research Organizations has sanctioned an amount of Rs.37.80 lakhs towards building a state-of-the-art-remote sensing and GIS laboratory as part of the joint teaching and research programme. The faculty has been associated with a number of programmes at a national and international level organisations of projects and research with ITC, Netherlands and Shimane University, Japan, CSSTS-AP (UN center) and IIRS, Dehradun. Consultancy services are offered in the areas of groundwater, soil investigations, remote sensing, thematic mapping and water quality analysis to organisations like Visakha Steel Plant, RITES, HPCL, BHPV, NWDA, NMDC, NTPC, MES, HZL, IREL, ETC., and private industries like Hinduja power plant, Gujarat Abuja cements and Reliance Industries. The faculty fulfills their responsibilities to the society by involving themselves in creating awareness in water harvesting and water conservation methods. The Department has been providing training in modern methods of Remote Sensing and GIS water resources and watershed management studies to engineers of various governmental/non-governmental organizations.


Geo-informatics is an emerging scientific and technical branch of engineering that encompasses a potent amalgamation of earth sciences, geomatics and computer programming

  • Its significance is growing exponentially due to the need for processing and analyzing vast quantities of spatial data, accounting for 80% of the quintillions of bytes of data generated every day worldwide
  • Therefore, our Vision is to produce specialized multidisciplinary professionals, who are high in demand within both the public and private sectors
  • Catalyzing absorption, innovation, diffusion and transfer of high technology for improved productivity, quality of life and empowerment, thereby affecting regional growth.


  • To attain eminence as a Center of Excellence in the realm of Geospatial Technology Education.
  • To provide skilled workforce for the rapidly evolving industrial applications.
  • To engage in research and consultancy endeavors that bring about societal benefits

NAAC Presentation

Sl.No Name of the Program
UG Programmes
1 B.Tech. Geo Informatics.
PG Programmes
1 M.Tech. Geo-Engineering
2 M.Tech. Remote Sensing
Doctoral Programmes
1 Ph.D in Geo Engineering

Programme Educational Outcomes (PEOs)

  • PEO1: Proficiency in geospatial science, mathematics and engineering principles to analyze and solve complex real-world problems.
  • PEO2: Apply Geo-Informatics tools and technologies to collect, process, analyze and visualize geospatial data for various applications, such as environmental management, urban planning and disaster response.
  • PEO3: Engage in lifelong learning and professional development, keeping abreast with ever evolving Spatial Information Technology and its applications in diverse verticals and domains.
  • PEO4: Demonstrate effective communication, teamwork and a strong sense of ethical as well as social responsibility in geoinformatics engineering, fostering sustainable and inclusive solutions.
  • Programme Outcomes (POs)

    • PO1: Apply the knowledge of mathematical concepts, physics, and other science and engineering fundamentals to formulate, solve and analyze multidisciplinary problems in the field of Geo-Informatics.
    • PO2: Enhance communication skills, including English language proficiency, to effectively present geospatial information and collaborate with diverse stakeholders.
    • PO3: Use knowledge of geosciences to analyze and interpret landforms, geological structures and their spatial distribution.
    • PO4: Develop sensitivity towards environmental sciences and cultivate organized skills with an emphasis on Natural resources Management, Disaster Management, Watershed Development, Sustainable Development, Environmental quality assessment and its Impact on Global Warming and also develop Decision Support System.
    • PO5: Apply the knowledge of traditional, conventional, and advanced surveying technologies to gather and process the data using NavIC and other Global positioning and navigation systems (GNSS).
    • PO6: Develop a basic and advanced understanding of the underlying principles, concepts, and techniques of Remote Sensing, alongside in-depth knowledge of image processing and photogrammetry principles, theories and concepts.
    • PO7: Gain a comprehensive understanding of GIS concepts, principles, and software for data integration, analysis and mapping by applying cartography principles and data visualization techniques.
    • PO8: Apply knowledge of various programming languages to develop algorithms, automate processes and handle geospatial data over cloud.
    • PO9: Design solutions for real-world problems like public health, municipal management and climate change by collecting geospatial data from a range of platforms, sources and formats.
    • PO10: Explore specialized applications such as Drone/UAV, LiDAR and BIM- Digital Twin technologies with very high-resolution data to enhance geospatial analysis, classification, and prediction tasks using AI and machine learning techniques.
    • PO11: Develop and deliver intuitive and interactive geospatial services and solutions with geospatial datasets using the knowledge of SRDBMS, big data, data warehousing and data mining and web programming technologies.
    • PO12: Apply the skillset and knowledge base to effectively cater to the needs of geospatial technologies, including advanced surveying and mapping across diverse location intelligence verticals.

    Programme Specific Objectives (PSOs)

    • PSO1: Leverage a strong foundation in fundamental engineering principles, mathematics, physical sciences and engineering management to design and develop solutions for complex real-world issues. These solutions address challenges ranging from intricate spatial data analysis to the development of large-scale geospatial systems at global, national and local levels.
    • PSO2: Proficiently identify, investigate, model and analyze intricate engineering challenges and issues encompassing natural resource and environmental monitoring, infrastructure development, urban planning, carbon sequestration, disaster management, forecast and response. These skills prepare students for career opportunities in these highly specialized domains.
    • PSO3: Bridge the gap between theory and practice, prepare students to excel by addressing pressing environmental and climate challenges and fostering innovation in geospatial technology and product development for complex spatial problems in urban planning, environmental sustainability, resource management and geospatial intelligence.
    • PSO4: Develop proficiency in conceiving and implementing innovative geospatial solutions and system designs, leveraging modern software tools like GIS & RS, Spatial ML and GeoAI applications, alongside programming languages such as Python. This competence ensures the highest standards in the field and empowers the inclusion of marginalized communities in economic upliftment initiatives.