VIJAYAKUMAR SAJJAN

@mallareddyuniversity.ac.in

Assistant Professor, CSE
Malla Reddy University, Hyderabad

VIJAYAKUMAR SAJJAN


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https://researchid.co/vbsajjan

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Engineering, Engineering, Engineering
13

Scopus Publications

64

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Correction: Enhancing Digital VLSI Circuit Debugging with Unified Neighbor aware Graph Neural Network Based Automated Error Detection (Journal of Electronic Testing, (2025), 10.1007/s10836-025-06204-3)
    Kiran Kumar Bhadavath, Vijayakumar Sajjan, Narsaiah Domala, Ashok Kumar Konduru, Sreedhar Jadapalli, Ramadevi Vemula
    Journal of Electronic Testing Theory and Applications JETTA, 2026
  • Enhancing Digital VLSI Circuit Debugging with Unified Neighbor aware Graph Neural Network Based Automated Error Detection
    Kiran Kumar Bhadavath, Vijayakumar Sajjan, Narsaiah Domala, Ashok Kumar Konduru, Jadapalli Sreedhar, Ramadevi Vemula
    Journal of Electronic Testing Theory and Applications JETTA, 2025
  • Utilizing Temporal Inductive Path Neural Networks for Accurate Voice-Based Depression Classification: A Detailed Approach for Analyzing Speech Patterns to Identify Mental Health States
    K Ashok Kumar, Narsaiah Domala, Vijaya kumar Sajjan, Kiran kumar Bhadavath, Sreedhar Jadapalli, Ramadevi Vemula
    Journal of Voice, 2025
  • Enhancing the Scalability of Knowledge Discovery Services for Massive Data Mining on Clouds
    Vijayakumar Sajjan, Jayam Pradeep Kumar, Vikram Kalvala, Narsaiah Domala, B. Kiran Kumar, C P Pavan Kumar Hota
    Proceedings of 5th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2024, 2024
    The traditional data mining techniques do not work well when it comes to the big data and the tremendous growth rate of the digital data also becomes a major challenge to the discovery of knowledge. Cloud computing offers an ideal solution to computationally and storage intensive tasks with scalable and on-demand services that can process big data at short notice. This paper reviews the current models that employ cloud structure for distributed data mining as well as models like CosDic and the Data Mining Cloud Framework (DMCF). The way of processing large datasets is also represented well by the Map Reduce model where it is possible to implement the data processing in parallel on several nodes. Despite the fact that cloud-based systems are very useful when it comes to the management of large amounts of data, challenges such as privacy, data security and data coordination still persist. These innovative methodologies include Edge Computing and Federated Learning that are anticipated to solve the mentioned issues by enhancing the speed of data processing and its safety. Thus, scalable cloud data mining to meet growing needs of knowledge discovery in big data contexts will have to develop new privacy protection mechanisms, integration of cloud models, and complex algorithms.
  • Next-Gen Classrooms: Augmented and Virtual Reality in Modern Education
    Srikanth Reddy E, Jayam Pradeep Kumar, S Anand Kumar, D. Purushothaman, Vijayakumar Sajjan, C P Pavan Kumar Hota
    Iccds 2024 International Conference on Computing and Data Science, 2024
    This paper delves into the transformative role of Augmented Reality (AR) and Virtual Reality (VR) in modern education, marking a paradigm shift towards immersive learning environments. The advent of these technologies has ushered in a new era in educational methodologies, transcending traditional boundaries and fostering a more engaging, interactive, and personalized learning experience. The paper begins with a historical overview of AR and VR technologies in educational settings, tracing their evolution and increasing accessibility. It then critically examines recent studies and developments, shedding light on the diverse applications and pedagogical strategies enabled by these tools. Special attention is given to the ways in which AR and VR cater to different learning styles, enhance student engagement, and facilitate complex conceptual understanding across various disciplines. Furthermore, the paper highlights successful case studies from around the globe, illustrating the practical implementation and impact of these technologies in classrooms. Challenges such as technological barriers, cost implications, and the digital divide are discussed, alongside potential solutions and best practices for integration. Emerging trends and future prospects of AR and VR in education are explored, emphasizing the continuous innovation and potential growth areas in this field. The review concludes by underscoring the need for ongoing research, collaboration between educators and technologists, and policy support to fully realize the potential of AR and VR as pivotal tools in the next generation of educational environments. This comprehensive review aims to provide educators, policymakers, and researchers with a deeper understanding of the current state and future possibilities of AR and VR in education, setting the stage for the next generation of interactive and immersive classrooms.
  • Exploring the Potential of Hybrid Feature-Based Research Topic Generation for Government Science and Technology Projects
    Vijayakumar Sajjan, Jayam Pradeep Kumar, B. Kiran Kumar, Narsaiah Domala, C P Pavan Kumar Hota, Vikram Kalvala
    Proceedings of 5th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2024, 2024
    This research addresses the challenge of identifying relevant research topics for Government Science and Technology (GRB) projects. Traditional methods for identifying research topics often prove inadequate due to the increasing volume and complexity of available data. This study proposes a novel framework that integrates text mining, K-means clustering, and AI optimization techniques to effectively identify and prioritize research topics. By analyzing existing research literature, identifying emerging trends, and considering the specific needs and priorities of GRB, the framework aims to generate a set of impactful and relevant research topics. The proposed framework has the potential to be adapted to other domains, such as healthcare and finance, facilitating the identification of promising research directions in various fields.
  • Monitoring Indoor and Outdoor Air Quality Using Raspberry PI Processor
    Vijayakumar Sajjan, E Srikanth Reddy, C P Pavan Kumar Hota, B Kiran Kumar
    2023 9th International Conference on Advanced Computing and Communication Systems Icaccs 2023, 2023
    The parameters of the environment to be monitored are selected as temperature, humidity, extent of CO, quantity of CO2, detection of leakage of any fuel - smoke, alcohol, LPG. The values of these parameters are transmitted by the use of Zigbee Pro (S-2) to a base station in which they will be being monitored. In order to display tremendous of air, a Wireless sensor community (WSN) based totally new framework is proposed that is based totally on statistics acquisition and transmission. The charge of temperature and humidity are transmitted over Bluetooth also simply so absolutely every one within the kind of the machine can check it over their clever telephones and laptops as those parameters maintain importance to anyone. CO, a risky parameter is monitored with a further precaution. A textual content message is despatched to the bottom station thru GSM module whenever its extent exceeds a selected secure restrict meant for a specific software. As humans usually spend greater than 90 % in their time in indoor environments. This artwork describes the system (IAQ), a low-rate indoor air exquisite tracking wireless sensor community system, superior the use of Raspberry pi Processor, XBee modules and micro sensors, for storage and availability of tracking facts on an internet portal. Other sensors can be brought for tracking precise pollutants. The outcomes reveal that the machine can offer an powerful indoor air quality assessment to prevent exposure chance. In fact, the indoor air tremendous can be extremely particular compared to what is anticipated for a first-rate dwelling surroundings.
  • Augumented And Virtual Reality As A Teaching Learning Tool In The Class Room:A Review
    Jayam Pradeep Kumar, Vijayakumar Sajjan, Srikanth Reddy E, C P Pavan Kumar Hota, Mallikarjun Yaramadhi, B Kiran Kumar
    2023 IEEE International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering Rmkmate 2023, 2023
    An unconventional method of instructing that makes use of technology such as augmented and virtual reality in the classroom setting. This method increases students' capacity to retain the content as well as their level of engagement with it by incorporating augmented reality and virtual reality into teaching and learning in a way that is more organic. It requires things like synchronizing lessons with technology, developing new materials, giving intriguing assignments, and properly evaluating students, amongst other things. In addition to this, it places a strong focus on ethical and economic considerations, as well as scalability, diversity, and the professional growth of educators. Because of this strategy, the classroom is transformed into a more engaging learning environment, one in which students have the chance to totally immerse themselves in the topic at hand and gain the skills that they will need in a future dominated by technology.
  • Analysis On an AI Based Sustainable Development Goals for People with Disabilities through Advanced Digital Technologies
    Vijayakumar Sajjan, C Altaf, MathanKumar Mounagurusamy, Sumayya Begum
    8th International Conference on Advanced Computing and Communication Systems Icaccs 2022, 2022
    Reports like this one demonstrate roughly 140 big data approaches that might be used to supplement standard statistical methods in the collection and analysis of information needed to meet or exceed SDG goals. These approaches also attempt to replace expensive and time-consuming traditional surveys with inexpensive real-time data. The report is organised as follows: An overview of current problems with relation to data and methodology gaps is provided before delving into the specifics of the SDGs. The United Nations' Sustainable Development Goals (SDGs) programme aims to create a roadmap for a more prosperous and environmentally friendly future for all people everywhere. To accomplish the SDGs, digital technologies are seen as a viable aid to growth. This research provides a link between digital technologies for people with disabilities and the SDGs through a thorough literature assessment and bibliometric analysis of scientific publications. Digital technology clusters and research collaboration networks can be seen in the results of this study We're hoping to build up a database of information and assess the potential uses of these new technologies as a result of this review. In order to help scientists and policymakers better understand how digital technologies may help achieve the SDGs and which ones will be most important in 2030, this paper was written.
  • Analysis of Air Pollution by Using Raspberry Pi-IoT
    Vijayakumar Sajjan, Pramod Sharma
    Proceedings of the 6th International Conference on Inventive Computation Technologies Icict 2021, 2021
    With the massive rise in the population and the pollution caused by mechanization many times more. This leads to a decline in individual wellbeing, which affects the health of the whole population directly. An IOT-based air contamination observing scheme is proposed to track pollution levels and air quality through an internet-based web server. Sensors that can sensor and collect data can be deployed at different locations. Big data can be accessed from any part of the globe through the Google cloud. The equipment suggested includes four factors, the air quality management module, the resonate intensity expose the sectors, the cloud observe the track and the alert module for anomalies. The suggested technology consists of four modules. Firstly, in view of the 5 air pollutant parameters, the air standard indicator is computed. The sensor senses the sound power. The cloud-based surveillance module ensures data are obtained using the Raspberry Pi WLAN module, which achieves the purpose of periodic data analysis. Finally, in case of an unexpected situation, the Anomaly Warning module warns the user.
  • Analysis of IoT Architecture for Low Cost Air Pollution Monitoring Systems
    Vijayakumar Sajjan, Pramod Sharma
    Proceedings of the 2nd International Conference on Inventive Research in Computing Applications Icirca 2020, 2020
  • IOT-air quality monitoring system using raspberry pi
    International Journal of Advanced Science and Technology, 2020
  • Research on an iot based air pollution monitoring system
    Vijayakumar Sajjan, Pramod Sharma, D Yaswanth, Dr Syed Umar, ; Yaswanth, et al.
    International Journal of Innovative Technology and Exploring Engineering, 2019

RECENT SCHOLAR PUBLICATIONS

  • Enhancing Digital VLSI Circuit Debugging with Unified Neighbor aware Graph Neural Network Based Automated Error Detection
    KK Bhadavath, V Sajjan, N Domala, AK Konduru, S Jadapalli, R Vemula
    Journal of Electronic Testing 41 (5), 691-708 , 2025
    2025
    Citations: 1
  • Utilizing Temporal Inductive Path Neural Networks for Accurate Voice-Based Depression Classification: A Detailed Approach for Analyzing Speech Patterns to Identify Mental …
    KA Kumar, N Domala, V kumar Sajjan, K kumar Bhadavath, S Jadapalli, ...
    Journal of Voice , 2025
    2025
  • Exploring the Potential of Hybrid Feature-Based Research Topic Generation for Government Science and Technology Projects
    V Sajjan, JP Kumar, BK Kumar, N Domala, CPPK Hota, V Kalvala
    2024 International Conference on IoT Based Control Networks and Intelligent … , 2024
    2024
  • Enhancing the Scalability of Knowledge Discovery Services for Massive Data Mining on Clouds
    V Sajjan, JP Kumar, V Kalvala, N Domala, BK Kumar, CPPK Hota
    2024 International Conference on IoT Based Control Networks and Intelligent … , 2024
    2024
    Citations: 1
  • Next-Gen Classrooms: Augmented and Virtual Reality in Modern Education
    S Reddy, JP Kumar, SA Kumar, D Purushothaman, V Sajjan, CPPK Hota
    2024 International Conference on Computing and Data Science (ICCDS), 1-5 , 2024
    2024
    Citations: 3
  • Augumented And Virtual Reality As A Teaching Learning Tool In The Class Room: A Review
    JP Kumar, V Sajjan, S Reddy, CPPK Hota, M Yaramadhi, BK Kumar
    2023 International Conference on Research Methodologies in Knowledge … , 2023
    2023
    Citations: 4
  • Monitoring Indoor and Outdoor Air Quality Using Raspberry PI Processor
    V Sajjan, ES Reddy, CPPK Hota, BK Kumar
    2023 9th International Conference on Advanced Computing and Communication … , 2023
    2023
    Citations: 2
  • IOT Based Indoor And Outdoor Air Pollution Monitoring System Using Raspberry PI.
    MM Kumar, V Sajjan, G Nagesh
    Journal of Pharmaceutical Negative Results 13 , 2022
    2022
    Citations: 2
  • INTELIGENT IOT SERVICES BASED ON ARTIFICIAL AND MACHIN LEARNING TECHNOLOGY
    SP Dr. Altaf C,2 Vijayakumar Sajjan,Dr.Srikanth Reddy E
    NeuroQuantology 20 (10), 3662-68 , 2022
    2022
  • Analysis on an AI based sustainable development goals for people with disabilities through advanced digital technologies
    V Sajjan, C Altaf, MK Mounagurusamy, S Begum
    2022 8th international conference on advanced computing and communication … , 2022
    2022
    Citations: 7
  • Analysis of air pollution by using raspberry Pi-IoT
    V Sajjan, P Sharma
    2021 6th International Conference on Inventive Computation Technologies … , 2021
    2021
    Citations: 18
  • Analysis of IoT architecture for low cost air pollution monitoring systems
    V Sajjan, P Sharma
    2020 Second International Conference on Inventive Research in Computing … , 2020
    2020
    Citations: 6
  • IOT-air quality monitoring system using raspberry pi
    pramod sharma vijayakumar sajjan
    International Journal of Advanced Science and Technology, 2394–2399 , 2020
    2020
  • A high-resolution source voltage sensor proposal and its presentation assessment on an fpga
    D Narsaiah, RS Reddy, B KiranKumar, V Sajjan
    Journal of Critical Reviews 7 (18), 2785-2789 , 2020
    2020
    Citations: 1
  • Research on an iot based air pollution monitoring system
    V Sajjan, P Sharma
    Int. J. Innov. Technol. Explor. Eng 8 (9), 553-558 , 2019
    2019
    Citations: 18
  • COIN OPERATED FORTUNE OFELLING SYSTEM WITH DANCING LED EFFECT
    GP Vijayakumar Sajjan,2D.Narashimha,3Venkatachalam
    International Journal of Management, Technology And Engineering 9 (4), 5718-5725 , 2019
    2019
  • Design and Implementation of SPIHT algorithm for Image Compression
    V Sajjan, MP Ali
    International Journal of Engineering Science 13276 , 2017
    2017
    Citations: 1
  • Automation of Dry-Wet Dust Collection to Support Swacch Bharat Abhiyaan
    RS Vijayakumar Sajjan,S.V.Altaf
    IJSRD - International Journal for Scientific Research & Development 4 (11 … , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Analysis of air pollution by using raspberry Pi-IoT
    V Sajjan, P Sharma
    2021 6th International Conference on Inventive Computation Technologies … , 2021
    2021
    Citations: 18
  • Research on an iot based air pollution monitoring system
    V Sajjan, P Sharma
    Int. J. Innov. Technol. Explor. Eng 8 (9), 553-558 , 2019
    2019
    Citations: 18
  • Analysis on an AI based sustainable development goals for people with disabilities through advanced digital technologies
    V Sajjan, C Altaf, MK Mounagurusamy, S Begum
    2022 8th international conference on advanced computing and communication … , 2022
    2022
    Citations: 7
  • Analysis of IoT architecture for low cost air pollution monitoring systems
    V Sajjan, P Sharma
    2020 Second International Conference on Inventive Research in Computing … , 2020
    2020
    Citations: 6
  • Augumented And Virtual Reality As A Teaching Learning Tool In The Class Room: A Review
    JP Kumar, V Sajjan, S Reddy, CPPK Hota, M Yaramadhi, BK Kumar
    2023 International Conference on Research Methodologies in Knowledge … , 2023
    2023
    Citations: 4
  • Next-Gen Classrooms: Augmented and Virtual Reality in Modern Education
    S Reddy, JP Kumar, SA Kumar, D Purushothaman, V Sajjan, CPPK Hota
    2024 International Conference on Computing and Data Science (ICCDS), 1-5 , 2024
    2024
    Citations: 3
  • Monitoring Indoor and Outdoor Air Quality Using Raspberry PI Processor
    V Sajjan, ES Reddy, CPPK Hota, BK Kumar
    2023 9th International Conference on Advanced Computing and Communication … , 2023
    2023
    Citations: 2
  • IOT Based Indoor And Outdoor Air Pollution Monitoring System Using Raspberry PI.
    MM Kumar, V Sajjan, G Nagesh
    Journal of Pharmaceutical Negative Results 13 , 2022
    2022
    Citations: 2
  • Enhancing Digital VLSI Circuit Debugging with Unified Neighbor aware Graph Neural Network Based Automated Error Detection
    KK Bhadavath, V Sajjan, N Domala, AK Konduru, S Jadapalli, R Vemula
    Journal of Electronic Testing 41 (5), 691-708 , 2025
    2025
    Citations: 1
  • Enhancing the Scalability of Knowledge Discovery Services for Massive Data Mining on Clouds
    V Sajjan, JP Kumar, V Kalvala, N Domala, BK Kumar, CPPK Hota
    2024 International Conference on IoT Based Control Networks and Intelligent … , 2024
    2024
    Citations: 1
  • A high-resolution source voltage sensor proposal and its presentation assessment on an fpga
    D Narsaiah, RS Reddy, B KiranKumar, V Sajjan
    Journal of Critical Reviews 7 (18), 2785-2789 , 2020
    2020
    Citations: 1
  • Design and Implementation of SPIHT algorithm for Image Compression
    V Sajjan, MP Ali
    International Journal of Engineering Science 13276 , 2017
    2017
    Citations: 1
  • Utilizing Temporal Inductive Path Neural Networks for Accurate Voice-Based Depression Classification: A Detailed Approach for Analyzing Speech Patterns to Identify Mental …
    KA Kumar, N Domala, V kumar Sajjan, K kumar Bhadavath, S Jadapalli, ...
    Journal of Voice , 2025
    2025
  • Exploring the Potential of Hybrid Feature-Based Research Topic Generation for Government Science and Technology Projects
    V Sajjan, JP Kumar, BK Kumar, N Domala, CPPK Hota, V Kalvala
    2024 International Conference on IoT Based Control Networks and Intelligent … , 2024
    2024
  • INTELIGENT IOT SERVICES BASED ON ARTIFICIAL AND MACHIN LEARNING TECHNOLOGY
    SP Dr. Altaf C,2 Vijayakumar Sajjan,Dr.Srikanth Reddy E
    NeuroQuantology 20 (10), 3662-68 , 2022
    2022
  • IOT-air quality monitoring system using raspberry pi
    pramod sharma vijayakumar sajjan
    International Journal of Advanced Science and Technology, 2394–2399 , 2020
    2020
  • COIN OPERATED FORTUNE OFELLING SYSTEM WITH DANCING LED EFFECT
    GP Vijayakumar Sajjan,2D.Narashimha,3Venkatachalam
    International Journal of Management, Technology And Engineering 9 (4), 5718-5725 , 2019
    2019
  • Automation of Dry-Wet Dust Collection to Support Swacch Bharat Abhiyaan
    RS Vijayakumar Sajjan,S.V.Altaf
    IJSRD - International Journal for Scientific Research & Development 4 (11 … , 2017
    2017