Supraja Ballari | Computer Science | Best Researcher Award

Mrs. Supraja Ballari | Computer Science | Best Researcher Award

Assistant Professor from Guru Nanak Institutions Technical Campus, India

Smt. B. Supraja is an experienced academician and researcher in the field of Computer Science and Engineering. With over 15 years of teaching experience at various reputed technical institutions in India, she has consistently contributed to both pedagogy and applied research. Currently serving as an Assistant Professor at Guru Nanak Institutions Technical Campus, Telangana, she is also pursuing her Ph.D. in Computer Science from Dravidian University, Kuppam. Her academic journey is marked by a strong foundation in computer applications and engineering, with a focus on emerging areas such as machine learning, cybersecurity, blockchain, and data mining. She has authored several research papers in reputed journals and holds multiple patents reflecting her commitment to innovation. Her work spans interdisciplinary applications of computing in logistics, vehicular networks, and employee management systems. Known for her diligence and academic integrity, Smt. Supraja combines her teaching skills with active research, mentorship, and curriculum development. Her ability to blend theory with practical applications makes her a valuable asset in academia. Her academic contributions have positioned her as a researcher with great potential for national recognition, including eligibility for research excellence awards.

Professional Profile

Education

Smt. B. Supraja holds a rich academic background that lays the foundation for her current research pursuits. She is presently pursuing a Ph.D. in Computer Science from Dravidian University, Kuppam, with a focus on contemporary issues in cybersecurity, data analytics, and intelligent systems. She completed her M.Tech in Computer Science and Engineering from PBR Visvodaya Engineering College, Kavali (affiliated to JNTUA) between 2011 and 2014, where she deepened her technical knowledge in core computer engineering disciplines. Her postgraduate studies began with a Master of Computer Applications (M.C.A.) from Geethanjali College of PG Studies under Sri Venkateswara University, Nellore (2002–2005). Her academic credentials are well aligned with the technological demands of today’s dynamic research landscape. Her education spans foundational programming, software engineering principles, and advanced technologies, making her a capable researcher and instructor. Throughout her academic journey, she has remained focused on interdisciplinary applications of computer science in real-world contexts. Her continuous academic progression—culminating in her doctoral studies—underscores her lifelong commitment to education and research excellence.

Professional Experience

Smt. Supraja’s professional journey spans nearly two decades in the higher education sector, where she has served in various teaching capacities. She is currently employed as an Assistant Professor at Guru Nanak Institutions Technical Campus, Telangana (since February 2023), where she teaches undergraduate and postgraduate courses in Computer Science. Prior to this, she held the same role at Narayana Engineering College, Nellore from July 2021 to January 2023, and at Krishna Chaitanya Educational Institutions from December 2014 to July 2021, teaching a mix of B.Sc., BCA, and M.Sc. students. Her earlier roles included positions at S. Chaavan Institute of Science & Technology and S.V. Arts & Science College, Gudur, where she taught various computer science subjects to both undergraduate and postgraduate students. In each of these positions, she has contributed to academic instruction, student mentoring, and curriculum development. Her experience reflects a deep engagement with the academic process, ranging from foundational teaching to more research-oriented mentorship. This long-standing teaching career demonstrates not only her pedagogical strengths but also her dedication to shaping the next generation of computer scientists.

Research Interests

Smt. B. Supraja’s research interests span a wide range of cutting-edge domains in computer science. Her primary focus areas include machine learning, cybersecurity, blockchain applications, data mining and data warehousing, fog computing, and cloud-based control systems. Her work reflects a deep interest in the intersection of artificial intelligence with societal and industrial applications. She has conducted research on anomaly detection in software-defined networks, data sharing in vehicular social networks using blockchain, and logistics optimization through structural equation modeling. She also explores areas such as sentiment analysis using Naïve Bayes classifiers, encrypted control systems, and cyberattack prediction through machine learning techniques. These interests align closely with today’s technological priorities such as data protection, automation, and intelligent decision-making. Her work seeks to bridge the gap between academic research and industrial applicability. The diverse yet cohesive nature of her research interests indicates her adaptability and eagerness to explore interdisciplinary applications. These interests not only reflect technical competence but also her sensitivity to real-world challenges that require intelligent, scalable, and secure technological solutions.

Research Skills

Smt. B. Supraja brings a robust set of research skills honed through academic work, project collaborations, and innovation initiatives. She is proficient in programming languages such as Java, C, and C++, and has practical experience with databases like Oracle and MS Access, as well as web technologies like HTML, JavaScript, and XML. Her expertise includes operating within different development environments using tools like Eclipse and Editplus. These technical proficiencies support her capability in implementing machine learning models, simulation systems, and data analysis applications. She has successfully authored and co-authored peer-reviewed publications and book chapters, showing familiarity with scientific writing, research methodology, and collaborative scholarship. In addition, she has contributed to the innovation space through patent filings in areas such as employee churn prediction and cyberattack prevention systems using machine learning algorithms. Her ability to apply theoretical knowledge into practical systems design and her experience in real-world problem solving mark her as a capable and results-oriented researcher. Her academic and technological skills are further strengthened by her consistent teaching of core subjects, which reinforces her depth in fundamental computer science concepts.

Awards and Honors

While a formal list of awards and honors is not provided in her academic profile, Smt. B. Supraja’s achievements in publishing, patenting, and contributing to book chapters reflect strong professional recognition. Her patents—three of which are published between 2022 and 2024—indicate acknowledgment of her work’s novelty and utility in applied computer science. Her scholarly contributions to journals such as the Journal of Engineering Sciences and Design Engineering, alongside collaborative book chapters on contemporary issues like COVID-19’s digital impact, have been positively received in academic circles. These publications are indicative of her growing visibility in the research community. Furthermore, her inclusion in multidisciplinary anthologies and collaborations with senior academicians from diverse fields show a level of trust and professional respect. Although specific awards or titles are not yet documented, her research outputs and innovation track record position her as a strong candidate for future academic honors and distinctions. Her work is gaining momentum, and with further institutional and international engagement, she is well poised for formal recognition through research awards and academic fellowships.

Conclusion

In conclusion, Smt. B. Supraja is a dedicated academic professional and an emerging researcher in the field of computer science. Her profile reflects a balanced integration of long-standing teaching experience and active research engagement. She has demonstrated capability in producing impactful scholarly work through journal publications, book chapters, and patents. Her expertise spans across machine learning, blockchain, cloud systems, and cybersecurity—fields that are not only technologically significant but also socially relevant. While she is still progressing in her doctoral research, her current contributions are commendable and indicate strong future potential. Areas for growth include enhancing research impact through increased citation metrics, obtaining funded projects, and expanding global collaborations. However, the depth and diversity of her current academic efforts strongly support her candidacy for research awards. Smt. Supraja exemplifies the qualities of a modern researcher—technically skilled, pedagogically sound, and oriented towards practical applications. With continued dedication and strategic academic outreach, she is well-positioned to become a recognized contributor to India’s research and innovation landscape.

Publications Top Notes

  1. A vital neurodegenerative disorder detection using speech cues
    BS Jahnavi, BS Supraja, S Lalitha
    2020

  2. Simplified framework for diagnosis brain disease using functional connectivity
    T Swarnalatha, B Supraja, A Akula, R Alubady, K Saikumar, …
    2024

  3. DARL: Effectual deep adaptive reinforcement learning model enabled security and energy-efficient healthcare system in Internet of Things with the aid of modified manta ray
    B Supraja, V Kiran Kumar, N Krishna Kumar
    2025

  4. IoT based effective wearable healthcare monitoring system for remote areas
    S Tiwari, N Jain, N Devi, B Supraja, NT Chitra, A Sharma
    2024

  5. Securing IoT networks in healthcare for enhanced privacy in wearable patient monitoring devices
    V Tiwari, N Jharbade, P Chourasiya, B Supraja, PS Wani, R Maurya
    2024

  6. Machine learning-based prediction of cardiovascular diseases using Flask
    V Sagar Reddy, B Supraja, M Vamshi Kumar, C Krishna Chaitanya
    2023

  7. Real time complexities of research on machine learning algorithm: A descriptive research design
    GP Dr. N. Krishna Kumar, B. Supraja, B.S. Hemanth Kumar, U. Thirupalu
    2022

  8. IT employee job satisfaction survey during Covid-19
    GVMR Dr. N. Krishna Kumar, B. Supraja
    2022

  9. Covid-19 and digital era
    GVMR Dr. N. Krishna Kumar, B. Supraja
    2022

  10. Forwarding detection and identification anomaly in software defined network
    DNKK B. Supraja, A. Venkateswatlu
    2022

  11. Machine learning structural equation modeling algorithm on logistics and supply chain management
    UT B. Supraja, Dr. N. Krishna Kumar, B.S. Hemanth Kumar, B. Saranya, G …
    2022

  12. Sentiment analysis of customer feedback on restaurants using Naïve Bayes classifier
    DNKK A. Venkateswatlu, B. Supraja
    2021

  13. Design and implementation of fog-based encrypted control system in public clouds
    DNKK B. Supraja, A. Venkateswatlu
    2021

  14. Enhancing one to many data sharing using blockchain in vehicular social networks
    DNKK B. Supraja, A. Venkateswatlu
    2021

Doojin Lee | Electrical Engineering | Best Researcher Award

Prof. Dr. Doojin Lee | Electrical Engineering | Best Researcher Award

Changwon National University, South Korea

Dr. Doojin Lee is an Assistant Professor in the Department of Electronic Engineering at Changwon National University (CWNU), South Korea. His work bridges theoretical and applied aspects of antenna design, ultra-wideband (UWB) radar systems, electromagnetic cloaking, and advanced signal processing. With postdoctoral and research experience at globally recognized institutions — including The Ohio State University, University of Waterloo, University of Mississippi, and South Korea’s Agency for Defense Development — Dr. Lee has established himself as a rising expert in his field. His research includes contributions to NASA projects, military radar systems, biomedical sensing, and wearable imaging technologies. Dr. Lee’s expertise spans hardware and software, covering antenna simulation, fabrication, electromagnetic measurements, and radar algorithm development. Beyond research, he contributes actively as a reviewer for prestigious journals such as IEEE Transactions on Antennas and Propagation, IEEE Access, and IET Electronics Letters, reflecting his international reputation. He is also a long-standing member of the Korean Institute of Electromagnetic Engineering and Science. Dr. Lee’s professional trajectory is marked by steady academic growth, international collaborations, and technical excellence, making him a promising candidate for research recognition. He continues to push the boundaries of radar and antenna technologies, with a vision to develop next-generation electromagnetic sensing systems for diverse applications.

Professional Profile

Education

Dr. Doojin Lee completed his integrated M.S./Ph.D. program at the Gwangju Institute of Science and Technology (GIST), South Korea, earning his doctorate in Biomedical and Electronic Engineering in 2017. His dissertation focused on ultra-wideband electromagnetic sensors, particularly resistively loaded dipole antennas for skull imaging applications, setting the stage for his specialization in biomedical and radar sensing technologies. Before his graduate studies, he earned his B.S. in Electronic Engineering from Changwon National University (CWNU) in 2012, where his foundation in mechatronics and electronics developed. Post-Ph.D., Dr. Lee pursued advanced research as a postdoctoral fellow at the University of Waterloo, Canada, where he worked on UWB pulsed radar sensors for UAV applications and electromagnetic remote sensing. He continued as a postdoctoral fellow at The Ohio State University, focusing on GNSS receiver design and ground-penetrating radar antennas in collaboration with NASA. Later, as a research associate at the University of Mississippi, he explored electromagnetic cloaking using mantle metasurfaces. This diverse international educational and research background has shaped Dr. Lee’s multidisciplinary approach, blending antenna design, signal processing, and sensing technologies. His formal education and postdoctoral training reflect a consistent focus on cutting-edge electromagnetic research.

Professional Experience

Dr. Doojin Lee’s professional experience spans both academic and applied research settings, reflecting a balance of theoretical innovation and practical development. Since October 2022, he has served as an Assistant Professor in the School of Electrical, Electronic, and Control Engineering at Changwon National University (CWNU), South Korea, where he focuses on ultrawideband (UWB) antenna design and electromagnetic cloaking theories. Prior to this, Dr. Lee worked as a senior researcher at the Agency for Defense Development (ADD) in South Korea from 2020 to 2022, contributing to the analysis of electromagnetic interference on integrated masts for advanced naval combat systems under the KDDX project. Earlier, he gained international research experience at leading institutions: at the University of Mississippi, he worked on metasurface-based electromagnetic cloaking; at The Ohio State University’s ElectroScience Laboratory, he collaborated with NASA on GNSS receivers and non-contact GPR antennas; and at the University of Waterloo, he developed UWB radar sensors for UAVs and military surveillance. These roles demonstrate his broad expertise in antenna design, radar systems, electromagnetic sensing, and applied defense technologies. His career path highlights a progressive blend of academic leadership, government-funded research, and cross-national collaborations in cutting-edge electromagnetic engineering.

Research Interests

Dr. Doojin Lee’s research interests center on the design, development, and verification of advanced electromagnetic and radar systems. His work on ultra-wideband (UWB) impulse radar sensors addresses critical applications such as ground-penetrating radar, foliage-penetration radar, and through-wall radar imaging, making significant contributions to both civilian and military sectors. He is particularly interested in antenna innovations, including the design of small, planar, resistive, wrapped, and bowtie antennas, as well as the development of multi-input multi-output (MIMO) antenna arrays and packaging techniques. Another major focus area is electromagnetic cloaking, where Dr. Lee explores mantle metasurfaces to decouple closely spaced or overlapping phased antenna arrays, aiming to minimize electromagnetic interference and improve system efficiency. Additionally, his work on GNSS antenna receiver design advances the field of precise global navigation technologies, which are critical for aerospace and geospatial applications. He also has strong interests in physics-based and radar image signal processing, where algorithm development complements his hardware innovations. Overall, Dr. Lee’s research integrates electromagnetic theory, materials, hardware design, and signal processing, creating a comprehensive portfolio that addresses both fundamental scientific challenges and real-world sensing and communication problems.

Research Skills

Dr. Doojin Lee possesses a wide range of advanced research skills that span simulation, fabrication, measurement, and analysis. He is proficient in using leading electromagnetic simulation software such as HFSS, CST, FEKO, ADS, AutoCAD, and OrCAD, which allow him to design and optimize complex antenna structures and radar systems. His programming and data analysis capabilities are supported by strong MATLAB skills, essential for algorithm development and signal processing tasks. In hardware, Dr. Lee is experienced in photolithography and chemical etching techniques for precise PCB fabrication, enabling the creation of experimental prototypes for antenna and radar testing. His measurement expertise includes operating vector network analyzers, conducting far-field and near-field antenna measurements, and analyzing electromagnetic interference, ensuring accurate experimental validation of designs. Additionally, Dr. Lee is skilled in using LaTeX for scientific publishing, reflecting his experience in preparing high-quality technical reports and journal articles. These combined technical competencies allow him to bridge the full cycle of research and development, from theoretical design and simulation to prototype fabrication, experimental testing, and performance optimization across a broad range of electromagnetic applications.

Awards and Honors

While specific named awards or honors are not detailed in the available records, Dr. Doojin Lee’s professional recognition is evidenced by his continuous role as a reviewer for top-tier international journals, including IEEE Transactions on Antennas and Propagation, IEEE Access, and IET Electronics Letters. Serving as a reviewer for these journals since 2017–2018 demonstrates that his expertise is trusted and valued by the global scientific community, an acknowledgment that often parallels formal academic honors. Additionally, Dr. Lee’s selection as a research collaborator on NASA-supported projects and national defense research programs such as the KDDX initiative reflects a level of professional respect and trust awarded only to highly competent and reliable experts. His early-career achievements, including publication highlights and a featured interview in Electronics Letters, further underscore his growing recognition in the field of electromagnetic engineering. While expanding his portfolio with formal awards, fellowships, or competitive research grants would further boost his profile, his current standing as a respected contributor and international collaborator already places him among promising researchers with a steadily rising reputation.

Conclusion

In conclusion, Dr. Doojin Lee presents himself as a highly capable, technically skilled researcher with a clear focus on advancing antenna and radar system technologies. His academic and professional journey demonstrates a consistent commitment to both foundational and applied research, with projects that span biomedical sensing, aerospace communication, ground-penetrating radar, and electromagnetic cloaking. His technical mastery across simulation, fabrication, measurement, and signal processing enables him to contribute meaningfully to complex, multidisciplinary projects. Dr. Lee’s reputation as a regular reviewer for top international journals and his history of collaboration with prestigious organizations like NASA and national defense agencies position him as an emerging leader in his field. To maximize his competitiveness for high-level research awards, he may benefit from increasing his formal leadership in large-scale projects, expanding his independent research funding, and documenting high-impact contributions such as patents, innovations, or societal applications. Overall, Dr. Lee’s research excellence, international collaborations, and specialized expertise make him a strong candidate for recognition through a Best Researcher Award, reflecting both his current accomplishments and his significant potential for future contributions.

Publications Top Notes

  1. Design of Multi-Time Programmable Intellectual Property with Built-In Error Correction Code Function Based on Bipolar–CMOS–DMOS Process

    • Authors: L. Li, S. Kwon, D. Kim, D. Lee, Y. Kim

    • Year: 2025

  2. Investigation of Dual-Mode Cloaked Cylindrical Slot Antennas with a Pulsed Radar Signal Processing

    • Authors: D. Lee, A.B. Yakovlev

    • Year: 2024

  3. Design and Investigation on Antipodal Vivaldi Antenna Emitting a Pulse-Like Waveform for Imaging Close-Range Objects

    • Authors: D. Lee, S. Raman, R. Augustine

    • Year: 2024

    • Citations: 1