Dr. T. G. VASISTA

Verified @gmail.com

Multi-disciplinary
VSCP OPC PVT LTD Rajahmundry



                             

https://researchid.co/tgvasista

7 Years I. T. Industry experience;
6 Years Researcher Experience and
17 Years of Teaching Experience (Civil - 7 years and Computers/IT/Allied-10 Years In which 1.5 Years - AIDS; 0.5 Years - Design Thinking and Innovation)

EDUCATION

BE Civil Engineering-Andhra University, Visakhapatnam
ME Civil CAD-IIT ROORKEE, Roorkee
PhD Civil Construction Engineering and Management; SRU, Alwar
Diploma in Computer Applications-NCCT Hyderabad, Post Graduate Diploma in E-Governance - University of Mysore, Mysore
Doctor of Information Technology - St. Linus University, Roseau, Dominica

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Information Systems and Management, Artificial Intelligence, Building and Construction

FUTURE PROJECTS

AIDS and AIML Application oriented Projects

In Construction Management, In CRM-Retail Management


Applications Invited
PhD-Management

Retail Business Analytics Using RFM Analysis to Predict and Decide Customer Loyalty Discounts and Offers: A Data-Driven Decision-Making Approach

Retailers struggle to determine which customers should receive loyalty incentives and what type of offers maximize return on investment. Current methods often rely on intuition or rule-based systems that are static, non-adaptive, and limited in accuracy. There is a research gap in integrating behavioral segmentation (RFM) with predictive modeling to automate and recommender system to determine loyalty offers and promotion based decision-making driven by Data


Applications Invited
13

Scopus Publications

Scopus Publications

  • A Cloud Computing Framework for Intelligent IOT Networks Using AI and Predictive Analytics
    P. Sathyaraj, D Kalpana, T. G. Vasista, S. Muthulakshmi, G Brindha, and R Karthick
    IEEE

  • Transforming the construction industry: Global trends, job burnout and safety issues


  • Predicting telecom customer churn: An example of implementing in python


  • PREDICTION OF SALES BASED ON AN EFFECTIVE ADVERTISING MEDIA SALE DATA: A PYTHON IMPLEMENTATION APPROACH


  • Benefits, barriers and applications of information communication technology in construction industry: A contemporary study


  • Managing through computer aided quality control in oil & natural gas industry project sites


  • Role of electronic customer relationship management in demand chain management: A predictive analytic approach
    T. G. K. Vasista and A. M. AlAbdullatif
    IGI Global
    In 21st century, collaborative business supply chain environments are required to be proactive rather than reactive so that they can better deal with the uncertainty, growing competition, shorter cycle times, more demanding customers and pressure to cut costs. Demand chain management as a new business model requires investing in consumer insights and closer relationships in the supply chain to conduct predictive analysis of retail intelligent solutions. In this regard new kinds of methodologies are required to be discussed. However, at the execution level the limitations in terms of scalability, data integration and knowledge based decision support to providers or suppliers in terms of strategy building and in providing deductive inference capabilities are to be addressed. Therefore, it is required to describe how predictive analytics helps in constructing the knowledge base to conduct verification and validation in terms of semantic predictive analytic for the domain of demand chain management.

  • Social innovation: Can it be a strategy for influencing GCC public welfare?
    Mohammed A T Alsudairi and Gopikrishna Tatapudi
    Informa UK Limited
    Abstract The 21st century is presenting new challenges and new developments for GCC States. In order to cope with the hopes and aspirations of their peoples looking forward to a better future for their coming generations, GCC States are planning to reconsider all available opportunities and restraints imposed upon them as a result of globalization. Business development is an important activity of national governance as it significantly impacts social economy and social life. This paper is aimed at providing the entrepreneurship platform, the need to design innovative business models and the significance of social innovation as a strategy toward achieving public welfare of GCC States. However, an effective e-governance leadership that engages in knowledge management activities and information assurance will become the driver of a knowledge based economic society toward achieving GCC goals. So the performance criterion for e-governance is also suggested.

  • CRASP - a strategic methodology perspective for sustainable value Chain management


  • Service-Oriented Architecture (SOA) and semantic web services for web portal integration
    T. G. K. Vasista and Mohammed A. T. AlSudairi
    Springer Berlin Heidelberg

  • 'ASCP model' for managing value chain: A promoter of BPM and SOA synergy


  • Suggesting e-service quality model for e-governance service delivery in Saudi Arabia


  • Model for value creation and action generation of an electronic enterprise in a knowledge based economy


RECENT SCHOLAR PUBLICATIONS

    Publications

    T. G. Vasista (2025). Statistical Data-Driven Decision-Making considering Bias, Fairness, and Transparency in AI,
    T. G. Vasista (2025). Artificial Intelligence in Education: Legal Perspectives of India, Submitted to IoTA Journal

    GRANT DETAILS

    Australia Patent: Koshariya, Ashok Kumar; Chakrabarti, Tulika; Reddy, Chirra Kesava; Gupta, Piyush; Vasista, Tatapudi Gopikrishna; A. K., Nisha; Rengarajan, P.; Murugan, V.; Kumar, Yogendra; Ganie, Pervaz Ahmad; Chakrabarti, Prasun and Rama Devi, G. Naga, A Method of Tracking and Managing Municipal Wastes Using Geo-Spatial Technology, Innovation Patent No: 202112153, IP Australia, 22 April, 2021, Valid for Eight Years.

    RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

    India: Ms. Asha Rani N R, Dr. T. G. Vasista, Ms.E. Selvamanju, , Ms. V. Lekhaa, Dr. Nynalasetti Kondala Kameswara Rao, Sumathi B, and Dr .P. Meenalochini, Ai-Driven Automated Building Construction Using IoT-Integrated Systems, IP-249, June, 2025

    INDUSTRY EXPERIENCE

    7 years of IT Experiene