Dr VINAY SHIVSHANKER PURANI

@vgecg.ac.in

Principal
Vishwakarma Government Engineering College, Chandkheda, Ahmedabad

Dr VINAY SHIVSHANKER PURANI


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https://researchid.co/vinaypurani

EDUCATION

B.E. Civl
M.E.Civil
Ph.D. Structural Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Civil and Structural Engineering, Artificial Intelligence
5

Scopus Publications

281

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • A Counter-Propagation Based Neuro Solution Model for Categorization and Fee Fixation of Engineering Institutions
    Krishna Kumar Nirala, Nikhil Kumar Singh, Vinay Shivshanker Purani
    Robotics and Automation in Industry 4 0 Smart Industries and Intelligent Technologies, 2024
    The Artificial Neural Network (ANN) is one of the most highly effective tools among available artificial intelligence (AI) techniques and is used to model the complex and nonlinear behavior of a variety of problems. For each of these existing network algorithms, fast convergence while learning and accurate prediction during testing is vital for its selection. Improvement in these parameters is continuously researched and it is a current objective of many researchers. Due to its inherent flexibility of customizable algorithms of different components, ANN becomes the choice of researchers for accurate prediction in complex and nonlinear problem conditions. To assess the engineering institute category and the fixation of its fees without human intervention, a neural network approach is recommended in this paper. Training patterns are generated based on different types of institutes with the extent of merit in admission, the extent of quality of education through the availability of teachers, and results and accreditation, placement, and expenditure made by the institute, using arbitrary data framed for about 100 institutions in-line with the institutes existing in Gujarat State. More than 250 training patterns were generated for training six different Counter-Propagation Networks (CPNs). The trained networks suggest the college class ranging in six categories from Best to Poor and predict the fee based on six different trained CPNs. Categorization of six different extents is normally done by inspecting colleges, self-declaration statements, admission merits, university results, placements, audited statements, position filled and cadre ratio, etc. of various engineering colleges. Based on the empirical values obtained for the various combination of the colleges, training, and testing patterns for six different CPNs were prepared. The separate learning in supervised and unsupervised modes with fixed network architecture and parameters offers an excellent and fast convergence during training and accurate prediction at the time of testing. In this paper, an innovative concept for prediction of the category of engineering college and fixation of its fee is implemented by developing six different independent CPNs, one for each extent which is responsible and influential in its discovery. The training data sets are generated from empirical combinations of institutes and actual existing data bases. After training the network, the CPN is used to predict the category and fee of the engineering college and suggest the key indicators too. The power of a graphical user interface (GUI) is used with interactive front and back processing developed in the present work under a visual C++ environment to facilitate input and output. A CPN approach demonstrates satisfactory reproduction of results obtained by rigorous manual process and proves its superiority while comparing results with Back Propagation Network (BPN).
  • A survey on providing customer and public administration based services using AI: chatbot
    Krishna Kumar Nirala, Nikhil Kumar Singh, Vinay Shivshanker Purani
    Multimedia Tools and Applications, 2022
    A chatbot is emerged as an effective tool to address the user queries in automated, most appropriate and accurate way. Depending upon the complexity of the subject domain, researchers are employing variety of soft-computing techniques to make the chatbot user-friendly. It is observed that chatbots have flooded the globe with wide range of services including ordering foods, suggesting products, advising for insurance policies, providing customer support, giving financial assistance, schedule meetings etc. However, public administration based services wherein chatbot intervention influence the most, is not explored yet. This paper discuses about artificial intelligence based chatbots including their applications, challenges, architecture and models. It also talks about evolution of chatbots starting from Turing Test and Rule-based chatbots to advanced Artificial Intelligence based Chatbots (AI-Chatbots). AI-Chatbots are providing much kind of services, which this paper outlines into two main aspects including customer based services and public administration based services. The purpose of this survey is to understand and explore the possibility of customer & public administration services based chatbot. The survey demonstrates that there exist an immense potential in the AI assisted chatbot system for providing customer services and providing better governance in public administration services.
  • Seismic restrengthening of stone masonry structure - a case study of heritage building
    Wind and Earthquake Engineering Proceedings of the 10th East Asia Pacific Conference on Structural Engineering and Construction Easec 2010, 2006
  • Neuro solution for damage detection and categorisation of earthquake-affected buildings
    Indian Concrete Journal, 2002
  • A counterpropagation-based neurocomputing approach for analysis and optimal design of slabs
    Journal of the Institution of Engineers India Civil Engineering Division, 2001

RECENT SCHOLAR PUBLICATIONS

  • A Counter-Propagation Based Neuro Solution Model for Categorization and Fee Fixation of Engineering Institutions
    VSP Krishna Kumar Nirala, Nikhil Kumar Singh
    Robotics and Automation in Industry 4.0 (https://www.taylorfrancis.com … , 2024
    2024
  • A Counter-Propagation Based Neuro Solution Model for Categorization and Fee Fixation of Engineering Institutions
    VSP Krishna Kumar Nirala, Nikhil Kumar Singh
    Robotics and Automation in Industry 4.0 1, 380-395 , 2024
    2024
    Citations: 1
  • Application of Artificial Intelligence in Governance for Administrative Issues and Its Management
    KK Nirala
    Gujarat Technological University , 2024
    2024
  • A survey on providing customer and public administration based services using AI: chatbot
    KK Nirala, NK Singh, VS Purani
    Multimedia Tools and Applications 81 (16), 22215-22246 , 2022
    2022
    Citations: 267
  • Impact and Implementation of NEP-2020 in Business Schools of Higher Education, Affiliated to The state Universities
    VSP Ghanshyam T. Pandya, Nikhil Kumar Singh, Sachin P Parikh
    Kanpur Philosophers,Journal of New Archaeological and Genological Society 9 … , 2022
    2022
  • AI-Chatbot to determine citizen centric solution of Aadhaar Card services in Public Administration: Aadhaarbot
    KK Nirala, NK Singh, VS Purani
    Bengal, Past & Present 140, 37-48 , 2022
    2022
    Citations: 2
  • Seismic Restrengthening of Stone Masonry Structure, A case study of Heritage Building
    VS Purani, SC Patodi, NK Patel
    East Asia-Pacific Conference on Structural Engineering and Construction … , 2006
    2006
  • Seismic Assessment and Retrofitting of Column in Building
    R Gajjar, V Purani, SC Patodi
    Structural Engineering Convention – SEC 2005 An International Meet, 402 , 2005
    2005
  • Augmented Neural Computing with Simulator Based on Counterpropagation Network
    VS Purani, SC Patodi
    Journal of Engineering and Technology 17, 23-29 , 2004
    2004
  • A Neural Network Approach for Computerization of I.S. Codes for Design Automation of Building Frames
    VS Purani, SC Patodi
    First National Conference on Recent Development in Structural Engineering … , 2004
    2004
  • Distributed training of Neural Networks for Design of Columns
    PV Patel, VS Purani, SC Patodi
    National Seminar on Emerging Trends in Soft Computing Based Artificial … , 2004
    2004
  • Neuro models for finding earthquake and wind forces on building frames.
    VS Purani, SC Patodi
    CONMAT 2003: International Workshop and Conference on Construction and … , 2003
    2003
  • Neuro solution for damage detection and categorisation of earthquake-affected buildings.
    VS Purani, SC Patodi
    Indian Concrete Journal 76 (8), 504-509 , 2002
    2002
    Citations: 3
  • A Training free Counterpropagation Network for Thin Rectangular Plates under Hydrostatic Pressure
    VS Purani, SC Patodi
    American Society of Civil Engineering-India Section, Civil Engineering Today … , 2001
    2001
  • A ‘CPN’ based Design Automation of Continuous Beam – An Innovative Approach
    VS Purani, SC Patodi
    National Conference on Computer Applications, Organised by Computer Society … , 2001
    2001
  • A counterpropagation-based neurocomputing approach for analysis and optimal design of slabs
    VS Purani, SC Patodi
    Journal of the Institution of Engineers. India. Civil Engineering Division … , 2001
    2001
  • Prediction of Nonlinear Response of Circular and Rectangular Plates using Counterpropagation Neural Networks
    SC Patodi, VS Puranl
    45th Congress of Indian Society of Theoretical & Applied Mechanics, An … , 2000
    2000
  • Design Automation of Short and Slender Columns using CPN based Neuro Computing Model
    VS Purani, SC Patodi
    Dr. S. N. Patel’s Conference Proceedings, 43-54 , 2000
    2000
  • A Counterpropagation Network for Design Automation of Short Columns
    VS Purani, SC Patodi
    QUARS 2000, A National Conference on “ Quality Assurance & Reliability in … , 2000
    2000
  • A Counterpropagation Network for Predicting Load Carrying Capacity of Concrete Slabs on Grade
    VS Purani, SC Patodi
    National Conference on Civil Engineering as Emerging to next Millennium … , 1999
    1999

MOST CITED SCHOLAR PUBLICATIONS

  • A survey on providing customer and public administration based services using AI: chatbot
    KK Nirala, NK Singh, VS Purani
    Multimedia Tools and Applications 81 (16), 22215-22246 , 2022
    2022
    Citations: 267
  • Modelling flexural behaviour of steel fibre reinforced concrete beams using neural networks
    SC Patodi, VS Purani
    J. New Build. Mater & Construct. World 4 (5), 28-35 , 1998
    1998
    Citations: 7
  • Neuro solution for damage detection and categorisation of earthquake-affected buildings.
    VS Purani, SC Patodi
    Indian Concrete Journal 76 (8), 504-509 , 2002
    2002
    Citations: 3
  • AI-Chatbot to determine citizen centric solution of Aadhaar Card services in Public Administration: Aadhaarbot
    KK Nirala, NK Singh, VS Purani
    Bengal, Past & Present 140, 37-48 , 2022
    2022
    Citations: 2
  • A Counter-Propagation Based Neuro Solution Model for Categorization and Fee Fixation of Engineering Institutions
    VSP Krishna Kumar Nirala, Nikhil Kumar Singh
    Robotics and Automation in Industry 4.0 1, 380-395 , 2024
    2024
    Citations: 1
  • Performance of FFBP Networks in Prediction of Behaviour of SFRC T-Beams
    VS Purani, SC Patodi
    VIVEK-BOMBAY- 12 (2), 13-19 , 1999
    1999
    Citations: 1
  • A Counter-Propagation Based Neuro Solution Model for Categorization and Fee Fixation of Engineering Institutions
    VSP Krishna Kumar Nirala, Nikhil Kumar Singh
    Robotics and Automation in Industry 4.0 (https://www.taylorfrancis.com … , 2024
    2024
  • Application of Artificial Intelligence in Governance for Administrative Issues and Its Management
    KK Nirala
    Gujarat Technological University , 2024
    2024
  • Impact and Implementation of NEP-2020 in Business Schools of Higher Education, Affiliated to The state Universities
    VSP Ghanshyam T. Pandya, Nikhil Kumar Singh, Sachin P Parikh
    Kanpur Philosophers,Journal of New Archaeological and Genological Society 9 … , 2022
    2022
  • Seismic Restrengthening of Stone Masonry Structure, A case study of Heritage Building
    VS Purani, SC Patodi, NK Patel
    East Asia-Pacific Conference on Structural Engineering and Construction … , 2006
    2006
  • Seismic Assessment and Retrofitting of Column in Building
    R Gajjar, V Purani, SC Patodi
    Structural Engineering Convention – SEC 2005 An International Meet, 402 , 2005
    2005
  • Augmented Neural Computing with Simulator Based on Counterpropagation Network
    VS Purani, SC Patodi
    Journal of Engineering and Technology 17, 23-29 , 2004
    2004
  • A Neural Network Approach for Computerization of I.S. Codes for Design Automation of Building Frames
    VS Purani, SC Patodi
    First National Conference on Recent Development in Structural Engineering … , 2004
    2004
  • Distributed training of Neural Networks for Design of Columns
    PV Patel, VS Purani, SC Patodi
    National Seminar on Emerging Trends in Soft Computing Based Artificial … , 2004
    2004
  • Neuro models for finding earthquake and wind forces on building frames.
    VS Purani, SC Patodi
    CONMAT 2003: International Workshop and Conference on Construction and … , 2003
    2003
  • A Training free Counterpropagation Network for Thin Rectangular Plates under Hydrostatic Pressure
    VS Purani, SC Patodi
    American Society of Civil Engineering-India Section, Civil Engineering Today … , 2001
    2001
  • A ‘CPN’ based Design Automation of Continuous Beam – An Innovative Approach
    VS Purani, SC Patodi
    National Conference on Computer Applications, Organised by Computer Society … , 2001
    2001
  • A counterpropagation-based neurocomputing approach for analysis and optimal design of slabs
    VS Purani, SC Patodi
    Journal of the Institution of Engineers. India. Civil Engineering Division … , 2001
    2001
  • Prediction of Nonlinear Response of Circular and Rectangular Plates using Counterpropagation Neural Networks
    SC Patodi, VS Puranl
    45th Congress of Indian Society of Theoretical & Applied Mechanics, An … , 2000
    2000
  • Design Automation of Short and Slender Columns using CPN based Neuro Computing Model
    VS Purani, SC Patodi
    Dr. S. N. Patel’s Conference Proceedings, 43-54 , 2000
    2000