Dr. B. J. Job Karuna Sagar | Renewable Energy | Best Researcher Award

Dr. B. J. Job Karuna Sagar | Renewable Energy | Best Researcher Award

Dr. B. J. Job Karuna Sagar , Joginpally B.R Engineering College hyderabad , India.

Dr. B. J. Job Karuna Sagar ๐ŸŽ“ is a dedicated academician and researcher with over 21 years of experience in teaching and academic leadership in the field of Computer Science ๐Ÿ‘จโ€๐Ÿซ๐Ÿ’ป. Currently serving as Professor & Dean of Faculty Affairs at Joginapally B.R. Engineering College, Hyderabad ๐Ÿซ, he is known for his commitment to student success, academic planning, and innovative teaching methodologies. With a Ph.D. in Computer Science & Technology ๐Ÿง  and a strong background in practical and theoretical computing, he has mentored numerous students and contributed significantly to institutional development. His passion for emerging technologies and continuous learning drives his academic journey. ๐Ÿš€๐Ÿ“˜

Professional Profile

Scopus
Orcid

Education and Experienceย 

๐ŸŽ“ Education:
  • ๐Ÿง‘โ€๐ŸŽ“ Ph.D. in Computer Science & Technology โ€“ Dravidian University, 2021

  • ๐Ÿ’พ M.Tech in Computer Science & Engineering โ€“ Sathyabama University (2007โ€“2009)

  • ๐Ÿ’ป MCA โ€“ JNTU College of Engineering, Ananthapur (2000โ€“2003)

  • ๐Ÿ“Š B.Sc (Mathematics, Economics, Statistics) โ€“ Sri Venkateswara University

๐Ÿข Work Experience:
  • ๐Ÿ‘จโ€๐Ÿซ Professor & Dean of Faculty Affairs โ€“ JBREC, Hyderabad (2022โ€“Present)

  • ๐Ÿ‘จโ€๐Ÿซ Academic Consultant โ€“ Yogi Vemana University, Kadapa (2016โ€“2022)

  • ๐Ÿ‘จโ€๐Ÿซ Associate Professor โ€“ Bharath College of Engineering, Kadapa (2014โ€“2016)

  • ๐Ÿ‘จโ€๐Ÿซ Assistant Professor โ€“ KSRM College of Engineering, Kadapa (2004โ€“2014)

ย Summary Suitability

Dr. B. J. Job Karuna Sagar is a distinguished academician and researcher with over 21 years of cross-functional experience in Computer Science and Engineering. A recipient of a Ph.D. in Computer Science & Technology from Dravidian University, he has consistently demonstrated research excellence, academic leadership, and technological innovation. His extensive teaching expertise, coupled with advanced knowledge in areas such as Data Science, Blockchain Technology, IoT, and Software Engineering, make him a highly deserving nominee for the Best Researcher Award.

Professional Development

Dr. Karuna Sagar is an enthusiastic professional committed to academic excellence and lifelong learning ๐ŸŽ“๐Ÿ“ˆ. As a Professor and Dean, he has effectively led faculty development initiatives, curriculum enhancement, and institutional collaborations ๐Ÿซ๐Ÿค. His administrative prowess includes coordinating NBA accreditation ๐Ÿ“‘, managing academic councils ๐Ÿงพ, and overseeing departmental functions with precision. He actively mentors UG and PG students in research and real-time projects ๐Ÿ’ผ๐Ÿ“Š. His participation in seminars, industrial visits, and student motivation programs highlights his holistic approach to education ๐Ÿ’ฌ๐Ÿš. Tech-savvy and research-oriented, he adapts to emerging trends like Data Science, Blockchain, and IoT seamlessly. ๐Ÿ”—๐ŸŒ

Research Focusย 

Dr. B. J. Job Karuna Sagarโ€™s research spans dynamic fields in Computer Science & Engineering, with a growing focus on Energy Informatics and Smart Grid Technologies โšก๐Ÿ”‹. His work bridges core computing areas such as Data Science, IoT, and Blockchain with applications in energy efficiency, smart energy systems, and sustainable computing ๐ŸŒฑ๐Ÿ’ก. He actively guides projects that explore real-time monitoring, optimization of power consumption, and secure energy transactions using blockchain and distributed systems ๐Ÿ”๐Ÿ”Œ. By integrating digital innovation with energy challenges, he contributes to building smarter, greener, and more connected energy infrastructures ๐ŸŒโš™๏ธ.

๐Ÿ† Awards and Honorsย 

  • ๐Ÿ… Ratified as Professor by JNTUH

  • ๐Ÿ“˜ Appointed as PRC (Progress Review Committee) Coordinator at institutional level

  • ๐Ÿ“š Library Committee In-charge โ€“ JBREC

  • ๐Ÿ› ๏ธ Coordinator for NBA Criteria 9 โ€“ JBREC

  • ๐ŸŽ“ Active Academic Council Member โ€“ multiple institutions

  • ๐Ÿ“ Paper Setter & Moderator โ€“ UG and PG levels since 2004

  • ๐Ÿงญ Successfully organized department and institutional programs as Dean

  • ๐Ÿš Led student industrial/educational visits and academic initiatives

Publication Top Notes

  • Internet of Things Based Autonomous Robot System Architecture for Home Automation and Healthcare Services
    ๐Ÿ—ž Indonesian Journal of Electrical Engineering and Computer Science
    ISSN: 2502-4752

  • Cloud Computing Environment Based Hierarchical Anomaly Intrusion Detection System Using Artificial Neural Network
    ๐Ÿ—ž International Journal of Electrical and Computer Engineering (IJECE)
    ISSN: 2088-8708 | DOI: 10.11591/IJECE.V15IL.PP1209-1217 | Vol. 15, No. 1, Feb 2025, pp. 1209โ€“1217

  • Thermodynamic Analysis of a Novel Concentrated Solar Power Plant with Integrated Thermal Energy Storage
    ๐Ÿ—ž International Journal of Thermal Science and Engineering Progress
    Manuscript ID: TSEP-0-24-02980R1

  • Chatbot Application Using Artificial Intelligence
    ๐Ÿ—ž International Journal of Food and Nutrition (IJFANS)
    ISSN: 2320-7876 | Volume: 10 | Issue: 6

  • Clustering in Wireless Sensor Networks: A Review
    ๐Ÿ—ž International Journal of Food and Nutrition (IJFANS)
    ISSN: 2320-7876 | Volume: 11 | Issue: 2, 2022

  • Efficient Resource Allocation and Computation Framework for Vehicular Multimedia Cloud Computing
    ๐Ÿ—ž International Journal of Food and Nutrition (IJFANS)
    ISSN: 2320-7876 | Volume: 11 | Issue: 9, 2022

  • Model for Fake News Detection Using AI Technique
    ๐Ÿ—ž International Journal of Safety and Security Engineering (IJSSE)
    ISSN: 2248-3045 | Volume: 11 | Issue: 9, March 2023

  • Enhancing AES with Key Dependent S-Box and Transpose MDS Matrix
    ๐Ÿ—ž International Journal of Innovative Technology and Exploring Engineering (IJITEE)
    ISSN: 2278-3075 | Volume: 11 | Issue: 9, August 2022

  • Engineering Practices and Their Role in Post-Adoption of SCRUM at an Enterprise
    ๐Ÿ—ž International Journal of Engineering and Advanced Technology (IJEAT)
    ISSN: 2249-8958 | Volume: 10 | Issue: 2, December 2020

  • Image Steganography Built on Pixel Value Difference in Spatial Domain Using Range
    ๐Ÿ—ž International Journal of Engineering and Advanced Technology (IJEAT)
    ISSN: 2249-8958 | Volume: 9 | Issue: 3, February 2020

Conclusion

Dr. B.J. Job Karuna Sagar’s significant contributions to research, academic leadership, and innovation in computer science make him a deserving recipient of the Best Researcher Award. His work reflects excellence, impact, and a strong commitment to advancing knowledge and mentoring future researchers.

Dr. Moustafa Magdi Ismail Mohamed | Renewable Energy | Transportation Research Award

Dr. Moustafa Magdi Ismail Mohamed | Renewable Energy | Transportation Research Award

 

Dr. Moustafa Magdi Ismail Mohamed , King Fahd University of Petroleum and Minerals , Saudi Arabia

Dr. Moustafa Magdi Ismail Mohamed ๐ŸŽ“ is an accomplished Assistant Professor of Electrical Engineering โšก at Minia University, Egypt, he brings a rich background in teaching, research, and academic leadership. Passionate about sustainable energy ๐ŸŒฑ, smart grids ๐Ÿ’ก, and electric vehicles ๐Ÿš—๐Ÿ”‹, Dr. Moustafa has made significant strides in these fields. His contributions include guiding graduate projects, publishing scholarly articles ๐Ÿ“š, and serving as a top reviewer for IEEE journals ๐Ÿ…. Dedicated to innovation and education, he actively participates in curriculum design and lab supervision, all while promoting quality assurance in engineering education ๐Ÿ› ๏ธ๐Ÿ‘จโ€๐Ÿซ.

Publication Profile

Google Scholar

Education & Experienceย 

  • ๐ŸŽ“ Assistant Professor, Minia University, Egypt (Aug 2021 โ€“ Present)

    • Teaching & curriculum design for Electrical Engineering

    • Supervision of graduate projects, labs, and quality systems

  • ๐ŸŽ“ Assistant Professor, Higher Institute of Engineering and Technology โ€“ New Minya (Oct 2021 โ€“ Jan 2022)

    • Delivered technical courses across various levels

  • ๐Ÿ‘จโ€๐Ÿซ Assistant Lecturer, Minia University (Since Oct 2011)

  • ๐ŸŽ“ Academic Qualifications: PhD in Electrical Engineering (details not provided here, assumed complete)

Suitability summary

Dr. Moustafa Magdi Ismail Mohamedโ€™s work aligns seamlessly with the goals of the Transportation Research Award, having made transformative contributions to electric transportation technologies. As an Assistant Professor of Electrical Engineering at Minia University, Egypt, he has pioneered research in Permanent Magnet Synchronous Motor (PMSM) control, battery management systems, predictive EV drive control, and AI-based optimization techniquesโ€”all key elements that enhance the efficiency, reliability, and intelligence of transportation systems. ๐Ÿ“ˆ๐Ÿ”Œ๐Ÿš˜

Professional Developmentย 

Dr. Moustafa continually invests in his professional growth ๐Ÿ“ˆ. With a strong foundation in renewable energy systems โ˜€๏ธ and electric mobility โš™๏ธ, he keeps pace with emerging technologies through ongoing research and academic engagement. He actively contributes to scholarly dialogue by publishing in prestigious journals and reviewing for top IEEE Transactions titles ๐Ÿง ๐Ÿ“„. He also attends conferences, workshops, and faculty development programs focused on e-learning ๐Ÿ’ป and energy sustainability ๐ŸŒ. As an academic supervisor for graduate programs, he nurtures the next generation of engineers while remaining deeply engaged in his own development and that of the educational systems around him ๐Ÿ“š๐ŸŒ.

Research Focus

Dr. Moustafaโ€™s research centers on sustainable and smart energy solutions โšก๐ŸŒฑ. His focus spans renewable energy integration ๐ŸŒž, net-zero energy buildings ๐Ÿ˜๏ธ, electric vehicle (EV) charging networks ๐Ÿš—๐Ÿ”Œ, and battery management systems ๐Ÿ”‹. He explores the use of control systems, power electronics, and machine learning ๐Ÿค– to enhance grid stability and efficiency. His projects often address national and global challenges in clean energy and energy policy ๐ŸŒ๐Ÿ“Š. With a commitment to environmental impact and technological innovation, he contributes both theoretical insight and practical solutions to advance green engineering and intelligent energy infrastructures ๐Ÿง ๐Ÿ’ก.

Awards and Honorsย 

  • ๐Ÿ… Recognized as a Top Reviewer in multiple IEEE Transactions journals

  • ๐Ÿฅ‡ Multiple research publications cited on Google Scholar and ResearchGate

  • ๐ŸŽ–๏ธ Academic excellence acknowledged in faculty committees and university boards

  • ๐ŸŒŸ Active contributor to international research communities and engineering networks

Publication Top Notes

  • Adaptive Speed Control of PMSM Drive System Based on a New Sliding-Mode Reaching Law
    IEEE Transactions on Power Electronics, Vol. 35, No. 11, 2020 โ€“ Citations: 329
    โžค Developed a robust sliding-mode control law for PMSM drives.

  • ๐Ÿงฌ Parameter Optimization of Adaptive Flux-Weakening Strategy for PMSM Drives Using Particle Swarm Algorithm
    IEEE Transactions on Power Electronics, Vol. 34, No. 12, 2019 โ€“ Citations: 93
    โžค Enhanced PMSM efficiency using swarm intelligence-based tuning.

  • ๐ŸŒ€ Torque Ripple Reduction Strategy for Surface-Mounted PMSMs in Flux-Weakening Region Using Genetic Algorithm
    IEEE Transactions on Industry Applications, 2021 โ€“ Citations: 25
    โžค Optimized torque performance using GA-based control refinement.

  • โšก Fast Terminal Reaching Law-Based Composite Speed Control for PMSM Drives
    IEEE Access, 2022 โ€“ Citations: 23
    โžค Introduced a fast-reacting composite controller for high-speed applications.

  • ๐Ÿ“ˆ Adaptive Linear Predictive Model for Improved PMSM Control Across Speed Regions
    IEEE Transactions on Power Electronics, 2022 โ€“ Citations: 21
    โžค Delivered a flexible predictive control model for dynamic conditions.

  • ๐Ÿ”„ Low-Complexity Model Predictive Current Control for Three-Level Inverter-Fed Linear Induction Machines
    IEEE Transactions on Industrial Electronics, 2022 โ€“ Citations: 20
    โžค Proposed a simplified and efficient control method for LIMs.

  • ๐Ÿ  Optimal Residential Microgrid Planning Using Demand Response and ABC Algorithm
    IEEE Access, Vol. 10, 2022 โ€“ Citations: 14
    โžค Integrated smart grid optimization with artificial bee colony technique.

  • ๐Ÿ”Œ Optimal EV and DG Integration into CIGREโ€™s MV Benchmark Model
    IEEE Access, Vol. 10, 2022
    โžค Evaluated EV and DG coordination strategies in modern power systems.

Conclusion

Dr. Moustafa Magdi Ismail Mohamed’s research makes a direct and valuable impact on the transportation sector, offering real-world solutions for electric mobility and smart transport systems. His blend of academic excellence, applied innovation, and visionary thinking exemplifies the spirit of the Transportation Research Award. Recognizing him with this award would honor a career dedicated to transforming how we power, control, and advance transportation in the era of sustainability. ๐Ÿ†๐ŸŒŽ๐Ÿš™

Ruijuan Qu | Environmental Chemistry | Best Researcher Award

Dr. Ruijuan Qu | Environmental Chemistry | Best Researcher Award

Nanjing University, China

๐Ÿ‘จโ€๐ŸŽ“Profiles

๐Ÿ‘ฉโ€๐Ÿซ Early Academic Pursuits

Ruijuan Qu completed her PhD from Nanjing University, where she subsequently embarked on her professional career. She started her academic journey as an assistant researcher and progressed to associate researcher. Her continued academic growth led to her appointment as an Associate Professor at the School of Environment, Nanjing University. Her foundational academic pursuits focused on environmental sciences, particularly on the transformation mechanisms of organic pollutants and the development of efficient degradation technologies.

๐Ÿ’ผ Professional Endeavors

Her professional career has been largely centered around environmental chemistry, with a particular focus on pollution degradation and chemical processes in environmental systems. Her research spans various aspects of environmental transformation, including the fate of organic pollutants, chemical oxidation processes, and the application of computational chemistry. She has made significant contributions to the understanding of complex environmental processes, particularly in the treatment of organic pollutants using advanced oxidation processes. She collaborates internationally, notably with Prof. Virender K. Sharma from Texas A&M University, on Ferrate oxidation treatments of organic pollutants.

๐Ÿ”ฌ Contributions and Research Focus

She has been instrumental in developing innovative methods and models to study the transformation of organic pollutants. She established a novel "non-target mass spectrometry โ€“ preparative separation-characterization - simplified transition state calculation" method for identifying intermediate products in pollutant degradation. Furthermore, she investigated the influence of suspended particles and co-existing components on the heterogeneous photodegradation of persistent organic pollutants in river systems. Her work has led to a deeper understanding of the polymerization processes in chemical oxidation of phenols, and she proposed strategies to regulate this process for low-carbon, efficient oxidation treatments.

๐ŸŒ Impact and Influence

Her research has had significant impact in the field of environmental chemistry, particularly in understanding the environmental fate and transformation of organic pollutants. Her innovative methods have been applied to address key challenges in environmental pollution, particularly in water and wastewater treatment. As a recognized leader in the field, Her work has contributed to advancing green chemistry and pollution control technologies. She was named to Stanford University's 2023 World's Top 2% Scientists List, highlighting her significant contributions and the wide recognition her research has gained in the global scientific community.

๐Ÿ“š Academic Cites

Her work has been cited extensively, with a citation index of 6036 times and an H-index of 43 according to Web of Science. This reflects the widespread influence and relevance of her research in the environmental chemistry domain. Her 159 articles published in SCI-indexed journals underscore her prolific contributions to the academic community, advancing the understanding of chemical processes and pollutant management.

๐Ÿ› ๏ธ Technical Skills

Ruijuan Qu possesses advanced technical expertise in environmental chemistry, particularly in the areas of mass spectrometry, computational chemistry, and environmental analytical techniques. Her work in environmental transformation analysis, pollutant degradation technologies, and process optimization highlights her technical proficiency. She also possesses deep knowledge of chemical oxidation processes and their applications in environmental remediation, making her a leader in this niche field of research.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

As an Associate Professor at Nanjing University, She has contributed significantly to educating the next generation of environmental scientists. She teaches courses in environmental chemistry, pollutant treatment technologies, and environmental computational chemistry. Her teaching approach integrates cutting-edge research with practical applications, ensuring that her students are equipped with the knowledge and skills necessary to address current and future environmental challenges.

๐Ÿ† Legacy and Future Contributions

Her legacy is grounded in her pioneering work in environmental chemistry and pollution degradation. Through her innovative research, she has not only advanced scientific understanding but has also contributed to the development of green technologies for environmental protection. Her future contributions are poised to further shape the field, particularly in the development of more efficient, sustainable pollution control methods and the application of computational chemistry in environmental research.

๐Ÿ”ฎ Future Contributions

She continues to push the boundaries of environmental science with ongoing research focused on improving chemical oxidation methods, advancing non-target mass spectrometry for pollutant detection, and developing low-carbon technologies for water and wastewater treatment. Her future work aims to bridge the gap between fundamental environmental chemistry and practical, scalable solutions to global pollution challenges, enhancing both environmental sustainability and human health.

๐Ÿ“–Notable Publications