Sanjay Chaudhary

Interim Dean and Professor, School of Engineering and Applied Science,
Dean of Students, Ahmedabad University
PhD (Computer Science), Gujarat Vidyapith
Areas of interest
Distributed Computing, Cloud Computing, Blockchain Technology, Data Analytics, and ICT Applications in Agriculture and Rural Development

Dr. Sanjay Chaudhary is a Dean of Students, Interim Dean of School of Engineering and Applied Science, and a Professor at Ahmedabad University. He was a Professor and Associate Dean of School of Engineering and Applied Science, Ahmedabad University during 2016 to 2019. Earlier, he was a Professor as well as Dean (Academic Programs) at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. His research areas are Distributed Computing, Cloud Computing, Blockchain Technology, Data Analytics, and ICT Applications in Agriculture and Rural Development. He has authored eight books and nine book chapters. He has published more than one hundred and twenty five research papers in international conferences, workshops and journals. He is an active member of program committees of leading International conferences and workshops as well as review committees of leading journals. He has received research grants from leading organizations including IBM, Microsoft and Department of Science and Technology, Govt. of India.

Seven PhD candidates have completed PhD under his supervision and three PhD students are currently working under his guidance. More than thirty two students have completed M.Tech theses under his supervision. He holds a doctorate degree in computer science from Gujarat Vidyapeeth. Prior to joining DA-IICT, he worked at Department of Computer Science, Gujarat University. He has worked on various large-scale software development projects for corporate sector, co-operative sector, and government organizations. He is actively involved in various consultancy and enterprise application development projects. He is a senior member of IEEE and Computer Society of India. He is also a patron, Computer Society of India, Ahmedabad Chapter. Gujarat Sahitya Academy has awarded second prize to his book on ગિરનાર ('Girnar') under 'Essays and Travelogue' category for the year 2009. He loves literature, music, travel and wild life.

Selected Publications:
Google Scholar Publications

Developing Data Analytics Architecture (Applications in Agriculture)

Principal Investigator (PI): Dr. Sanjay Chaudhary

Co-Investigator (Co-PI): Dr. Mehul Raval

Senior Research Fellow: Purnima Shah, Junior Research Fellow: Vikas Kumar Tyagi

Funding Organization: Department of Science and Technology, Govt. of India, The Natural Resources Data Management Systems (NRDMS) and National Spatial Data Infrastructure (NSDI)

Funding amount: Rs. 27.51 lacs, Duration: 2017-2019

Summary: Geo-spatial data is very important to develop flexible and versatile functions and applications, for developing multidisciplinary applications, helping in planning,  managing and utilizing natural resources efficiently using spatial analysis. We need common standards for data integration and effective analytical infrastructure and we aim to use OGC standards  for big data processing of spatial data. The core scientific and technological objectives are:

  • Development of big data integration and analytical platform built on open source architecture for enrichment of large data sets including geo-spatial data bases. Agriculture will be used as the domain to realize various aspects of proposed architecture.
  • Integration with already developed and deployed Decision Support Systems andSpatial Decision Support Systems for an application domain.
  •  Indexing, querying, analyzing, and visualizing Geo-spatial data at scale using open source.
  • To connect structured and unstructured data in real time or batch processing for data management and analytics of systems for decision making in operational environment, e.g applications like agro advisory system should be able to process event streams in a real time, extract relevant information and identify values that do not follow the general trends.
  •  Develop and implement distributed algorithm(s) to store and process geo-spatial data.
  •  Implement advanced data structures to store and process geo-spatial data in an efficient manner.

Developing Data Content Standards for Data Representation, Sharing and Interoperability (Soil, Forest and Surface Geological Map Data)

Principal Investigator (PI): Dr. Sanjay Chaudhary

Co-Investigator (PI): Dr. Mehul Raval

Funding Organization: Department of Science and Technology, New Delhi, (NRDMS - NSDI)

Funding Amount: Rs. 4.34 lacs

Duration: Six Months, 2018

Summary: It involves study and evaluations for standards for data representation, search for service standards for data acquisition and integration, global XML schema for data and OGC web service development standards. Ontologies for soil, forest and geological maps will be developed for data classification and inferencing. It will help in generation of information regarding accessibility, interoperability and utility of the sharable Soil and Forest data infrastructure.

Projects: ‘Big Data Analytics in Agriculture’ and ‘Real-time Face Recognition System’

Funding Organization: NVIDIA GPU Grants (Quadro processors)

Principal Investigator (PI): Sanjay Chaudhary

Co-PI: Ratnik Gandhi

Service-Oriented Architecture for Spatial Data Integration and Spatial Reasoning

Funding Organization: Department of Science and Technology, Govt. of India, The Natural Resources Data Management Systems (NRDMS) and National Spatial Data Infrastructure (NSDI), Scheme: Geo-spatial technology based tools development for NSDI,

Funding amount: Rs. 35 lacs, Duration: 2011-2014

Principal Investigator (PI) (from October 2011 to June 2013) and Co-PI (from July, 2013 onwards): Sanjay Chaudhary

Abstract: Geospatial data and services for spatial planning have become very important worldwide. Spatial Data Infrastructure (SDI) has emerged as a platform for geospatial data sharing and dissemination. Today there are millions of sensors around the globe and they collect huge amount of real time data. Using these sensors, various organizations – Government or private, capture and publish data throughout their own systems or networks. There is lack of integration and communication among these networks or systems, which has intensified the existing problem of too much data and not enough knowledge. Complex application such as flood forecast system requires integration of various geospatial data from different spatial data sources. Large amount of Geospatial data is collected and stored by different agencies using different data formats. With enormous amount of spatial data now available through the Web, ample opportunities exists to integrate these data to support complex applications such as impact of climate change on a crop or flood forecasting system. Geospatial data and service can become extremely useful, if it can be distributed over large networks. Efforts are under way to create an infrastructure for geospatial data sharing. A common and interoperable solution for discovery, storage and access of geospatial data and information has become a necessity.We propose a Semantic web enabled Service-Oriented Architecture for spatial data integration and spatial reasoning. We propose that sensor data to be annotated with semantic metadata to provide contextual information essential for situational awareness. We aim to evaluate and test our proposed architecture for any of complex applications in disaster management like river flood prediction or agricultural recommendation system specifically in the context of climate change and impact on agricultural practices.

Semantic Web based Parser, SPARQL Query Builder and Information Extraction from Social networks

Funding organization: eZDI, USA

Duration: 2012

Principal Investigator (PI): Sanjay Chaudhary

Aim: To develop semantic web based parser, which would take medical transcriptions in different formats as input and convert into RDF format. Query resolution builder should be able to execute users' queries by using domain knowledge and available data.


  • A Semantic Web based Parser for Cardiology domain (Which would parse the Transcriptions and extract the information semantically)
  • Query Interface development and SPARQL Query Builder (Query Interface and Query Engine to process the user's query)
  • Information Extraction module (Which would extract the information from web-blogs and from different social network sites.

Microsoft High Performance Computing Scholars Program, 2008

Funding amount: USD 5,000

Faculty research grant award for the research work from Microsoft High Performance Computing Scholars Program

Abstract: The aim of this project was to design and develop a cluster solution that would allow parallel execution of software components and perform complex calculations on large amounts of data. The cluster should be capable to provide integrated view of complex multi-tier and multi-platform computing environment. A framework to enable negotiation and allocation of resource for effective resource scheduling was developed to realize private cloud based on virtual machines.

Agricultural Information System

Funding organization: DA-IICT

Duration: 2007-08

Principal Investigator (PI): Sanjay Chaudhary

Goal: To develop an Information System for the farmers to provide recommendations. Unlike existing information systems this system would not only be able to provide information based on queries of user but would also be able to make inferences on existing knowledge base.

The system aims to develop a decision support system for Agricultural Information System (AIS) which can help the farmer in making proper decisions related to various aspects of the crop cultivation based on the context and prevailing condition of a farming situation. The system should provide expert advice by responding appropriately based on the requirements of a farmer and enable the farmer to make appropriate decisions. Answers to the queries of a farmer will be resolved by using concept based search rather than keyword based search. These requirements can be achieved by building a system that uses the concepts of Semantic web. Ontology is a central building block of semantic web and ontology can be used to form the knowledge base of the system to enable concept based search. The proposed ontology will be based on AGROVOC, developed by Food and Agriculture organization and it will refer the base concepts of AGROVOC. The proposed ontology will get converted into knowledge base when information (in the form of rules and instances) is added to it by the domain experts. An inference engine will be developed to help in performing inferences and to retrieve the contextual information from the system knowledge base. Such contextual information will enable the user/farmer to make proper decisions about various aspects of the crop production cycle.

Microsoft High Performance Computing Scholars Program, 2007

Funding organization: Microsoft

Funding amount:USD 5,000

Duration: 2007-08

Principal Investigator (PI): Sanjay Chaudhary

Faculty research grant award for the research work from Microsoft High Performance Computing Scholars Program

Goal: To run parallel high performance computing applications to help solve complex computations using Windows Compute Cluster Server 2003. Following three applications were developed using principles of high performance computing:
- 'Genomance'
- 'Dynamic Traffic Congestion Monitoring System'
- 'Global Warming Solution System'

Prediction Model for Pest Attack: an Evolutionary Approach

Funding organization: DA-IICT

Funding amount: Rs. 1,80,000

It is a joint research project work with ICRISAT, Hyderabad. Domain modeling and database is provided by the research scientists of ICRISAT.
Duration: 2007-08
PI: Sanjay Chaudhary

Abstract: Genetic algorithms are adaptive search algorithms. These algorithms are based upon the principles of evolution and natural selection. Genetic algorithms are adept at searching large, non-linear search spaces and efficiently determining near optimal solutions in reasonable time frames by simulating biological evolution. In this project, a model for predicting pest attacks on crop is proposed. The model is based on neural network and genetic algorithm is used to train the model for prediction.

IBM Eclipse Innovation Grant 2005

Funding organization: IBM

Funding Amount: USD 13,000

Duration: 2005-06

Project Title: Framework for processing and visualization of critical alerts for risk perception and efficient decision-making

Project goal: To develop a service computing based framework that would support integration of critical alerts generated by diverse sources, processing and presentation in user friendly format to aid the decision making process.




Book Chapters

Journal Papers

Conference and Workshop Papers


Monsoon 2018-19 Semester

  • Introduction to Blockchain: Technologies, Approaches and Applications (with Dr. Vikram Sorathia), BTech (ICT) semester VII
  • Operating Systems, BTech (ICT), Semester V
  • Cloud Computing, MTech (CSE), Semester II and BTech (ICT) semester VII

Monsoon 2017-18 Semester

  • Operating Systems, BTech (ICT), Semester V
  • Cloud Computing, MTech (CSE), Semester II and BTech (ICT) semester VII

Monsoon 2016-17 Semester

  • Operating Systems, BTech (ICT), Semester V
  • Cloud Computing, MTech (CSE), Semester II and BTech (ICT) semester VII

Winter 2015-16 Semester

  • Big Data Analytics, MTech (CSE), Semester II
  • Seminar course, MTech (CSE), Semester II
  • Qualitative Analysis, PhD Students

Monsoon 2015-16 Semester

  • Operating Systems, BTech (ICT) Semester - V
  • Cloud Computing, Technical Elective for BTech (ICT) Semester - VII and MTech (CSE) Semester - III
  • Data Analytics and Visualization, MTech (CSE), Semester - I
  • Course Coordinator for Ahmedabad University HASS Elective on 'Social Media'

Winter 2014-15 Semester

  • Database Management System, BTech (ICT) Semester - IV
  • Big Data Analytics, MTech (CSE), Semester II

Monsoon 2014-15 Semester

  • Data Strucutures and Algorithms, BTech (ICT) Semester - III
  • Data Analytics, MTech (CSE), Semester I and BTech (ICT) Semester VII
  • Advanced Data Structures, PhD Students

Winter 2013-14 Semester

  • Database Management System, BTech (ICT) Semester - IV
  • Object-Oriented Programming, BTech (ICT) Semester - II (shared with Dr. Pankesh Patel)

Monsoon 2013-14 Semester

  • Data Strucutures and Algorithms, BTech (ICT) Semester - III
  • Advanced Data Structures, PhD Students

Member, Organizing Committee / Program Committee, International Conferences and Workshops and Reviewer, Journals





  • Member, Program Committee, Workshop on Security Technologies in the World with Internet of Things (IoTSec 2016), In conjunction with Mobiquitous 2016, November 28, 2016, Hiroshima, Japan
  • Member, Program Committee, Special session entitled 'Data Science for Agricultural Decision Support Systems (DS4ADSS)' as a part of The 3rd IEEE International Conference on Data Science and Advanced Analytics (IEEE/ACM DSAA), IEEE/ACM DSAA 2016, Montreal, Canada October 17-19, 2016
  • Member, Program Committee, 14th International Conference on Service Oriented Computing, October 10-13, 2016, Banff, Alberta, Canada,
  • Member, Program Committee, 13th IEEE International Conference on Services Computing, June 27 - July 2, 2016, San Francisco, USA
  • Secretary, Organizing Committee, National Workshop on “Information and Communications Technologies for Sustainable Agricultural Development” organized at Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar (SDAU), February 11, 2016
  • Program Committee Member, The Seventh International Conferences on Advanced Service Computing - Service Computation 2016, Rome, Italy, March 20 - 24, 2016











Reviewer for Journals


Honorary Work
  • Chair, Computer Society Chapter of IEEE Gujarat Section, 2010-2012
  • Branch Counselor, IEEE Student Branch, DA-IICT, 2008-2009

    Volunteer,  Ekatra Foundation

    Goal: To Preserve and spread Gujarati literature through digitization.

    ગુજરાતી લેખન-વાચનની પ્રક્રિયામાં, ટેકનોલોજીના ઉપયોગ વડે આવી રહેલાં પરિવર્તનને એકત્ર' એક ડગલું આગળ લઈ જવા માંગે છે . એકત્ર' એવી એક બારી ઊભી કરવા માંગે છે કે જ્યાંથી, જેમ ઘરની છાજલીઓ પરથી પુસ્તકો લઇને વાંચી શકાય તેમ કોમ્પુટરના સ્ક્રીન પર આ પુસ્તકો વાંચી શકાય. આંગળીના ટેરવેથી જેમ પુસ્તકનાં પૃષ્ઠો ઉથલાવીએ છીએ તેમ જ પૃષ્ઠો ઉથલાવતાં જઇને વાંચવાની એક ડિજિટલ વ્યવસ્થા તૈયાર થઈ રહી છે.




સાહિત્યિક લેખો (Literary Articles)

  • સંજય ચૌધરી, "ટ્રાન્સફર" (ટૂંકી વાર્તા), કુમાર, ઑક્ટોબર 2018, સળંગ અંક 1090, પાના નં. 31-35
  • સંજય ચૌધરી, "નાળું" (ટૂંકી વાર્તા), પરબ, સપ્ટેમ્બર 2016, પાના નં. 13-18, ISSN: 250-9747
  • સંજય ચૌધરી, "અંતર" (વાર્તા), અખંડ આનંદ, એપ્રિલ 2016, પાના નં. 41-43
  • સંજય ચૌધરી, 'તેજલિસોટા' (ટૂંકી વાર્તા), શબ્દસૃષ્ટિ, અંક ક્રમાંક 388, જાન્યુઆરી 2016, ગુજરાત સાહિત્ય અકાદમી, પાના નં. 25-31, ISSN : 2319 - 3220
  • સંજય ચૌધરી, "સરકતી ક્ષણો" (ટૂંકી વાર્તા), પ્રત્યાક્ષા, એપ્રિલ 2015, પાના નં. 13-20, ISSN : 2394 -8167
  • સંજય ચૌધરી, "અબોલ" (ટૂંકી વાર્તા), પરબ, ફેબ્રુઆરી 2015, પાના નં. 19-26, ISSN: 250-9747
  • સંજય ચૌધરી, "ઉઘડતી દિશા" (ટૂંકી વાર્તા), અખંડ આનંદ, ઑગસ્ટ 2014, પાના નં. 29-33
  • સંજય ચૌધરી, "માંડવાળ" (ટૂંકી વાર્તા), શબ્દસૃષ્ટિ, અંક ક્રમાંક 368, મે 2014, ગુજરાત સાહિત્ય અકાદમી, પાના નં. 19-25, ISSN : 2319 - 3220
  • સંજય ચૌધરી, મનમાં હરતી ફરતી નવલકથા : `અરવલ્લી', પરબ, નવેમ્બર, 2013, ગુજરાતી સાહિત્ય પરિષદ,પૃ. 43-53, ISSN: 250-9747
  • સંજય ચૌધરી, વર્તમાન શિક્ષણ-પદ્ધતિ શી હોઈ શકે : ‘લોકભારતી ગ્રામવિદ્યાપીઠ’, પરબ, જૂન, 2013, ગુજરાતી સાહિત્ય પરિષદ, પૃ. 56-64, ISSN: 250-9747
  • સંજય ચૌધરી, ધરતી આભનાં છેટાં : નારીનાં સ્વમાન અને ગૌરવની કથા, પુસ્તક : પન્નાલાલની વાર્તાસૃષ્ટિમાં, પૃ. નં. 41-46, ગુજરાતી સાહિત્ય પરિષદ, ISBN: 978-81-924770-1-5, 2012
  • સંજય ચૌધરી, "ગીર, તેના પર્યાવરણ અને સમાજજીવનને સમજતી અને આલેખતી નવલકથા - અકૂપાર", પરબ, ઑગસ્ટ, 2012, ગુજરાતી સાહિત્ય પરિષદ, પાના નં. 42 – 53, ISSN: 250-9747 (S. Chaudhary, "Akupar : A Novel for Gir Forest, Its Environment and Social Ecosystem", Parab, Gujarati Sahitya Parishad, pp 42-53)
  • સંજય ચૌધરી, "ઑગસ્ટ ઇન ઓસેજ કાઉન્ટી" (નાટ્યદર્શન), શબ્દસૃષ્ટિ, અંક ક્રમાંક 329, ફેબ્રુઆરી 2011, ગુજરાત સાહિત્ય અકાદમી, પાના નં. 76થી 79, ISSN : 2319 - 3220 (S. Chaudhary, “August: Osage County”, ShabdaShruti, Issue Number: 329, January 2011, Gujarat Sahitya Academy), pp 76-79
  • સંજય ચૌધરી, "હુ હુ: જૂનાગઢના અતીત અને હિન્દુ-મુસ્લિમ ઐક્યની ઔતિહાસિક કથા", શબ્દસૃષ્ટિ, અંક ક્રમાંક 295, એપ્રિલ 2008, ગુજરાત સાહિત્ય અકાદમી, ISSN : 2319 - 3220 (S. Chaudhary, “Hoo Hoo: Junagadhna Atit Ane Hindu-Muslim Aekyani Aitihasik Katha”, ShabdaShruti, Issue Number: 295, April 2008, Gujarat Sahitya Academy)


102, School of Engineering and Applied Science,
Ahmedabad University,
Ahmedabad Education Society FP. 4,
Near Commerce Six Roads,
Navrangpura, Ahmedabad - 380 009, India


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