Supritha Nagendra | Big data analytics | Best Researcher Award

Posted on by Academic achievements

Mrs. Supritha Nagendra | Big data analytics | Best Researcher Award

Mrs. Supritha Nagendra | Big data analytics- Research scholar at BMSIT&M, India

Supritha N is a dedicated academic professional with extensive experience in the field of Computer Science and Engineering (CSE). With a career spanning over 8.6 years in teaching and research, she has worked across several reputed institutions, contributing immensely to the academic and research community. Currently pursuing her Ph.D. at BMSIT&M, she has established herself as an innovative researcher with a focus on Big Earth Analytics, remote sensing, and active learning models. Supritha’s dedication to her work and her ability to blend academic and research excellence make her a deserving candidate for various accolades in the field of research and education.

Profile:

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Education:

Supritha holds a robust academic background, with a Ph.D. in Computer Science and Engineering from BMSIT&M. She completed her M.Tech. in the same field from A.P.S.C.E, securing an impressive 76%. Prior to this, she earned her B.E. from JVIT, with a 71% score. Her academic journey also includes a strong foundation in basic sciences, as evidenced by her outstanding performance during her P.U.C. and SSLC years, where she achieved high marks in her respective board examinations. Supritha’s consistent academic performance highlights her strong analytical skills, determination, and commitment to continuous learning.

Experience:

Supritha N brings over 8.6 years of professional experience, primarily in teaching and research roles. Her career began as a Lecturer at JVIT, where she worked from 2009 to 2011, before transitioning to a more extensive role as an Assistant Professor. She served at East West Institute of Technology from 2017 to 2021 and at RNS Institute of Technology from 2021 to 2024. Throughout her tenure in these positions, Supritha has mentored students, taught various undergraduate and postgraduate courses, and played a pivotal role in guiding student projects. Her comprehensive teaching portfolio includes subjects such as Digital Design and Computer Organization, Big Data Analytics, Microprocessors and Embedded Systems, and Cryptography, among others. Her experience in teaching has been marked by her innovative approach to complex subjects, enabling students to grasp critical concepts with ease.

Research Interests:

Supritha’s research interests lie at the intersection of Big Data Analytics, Remote Sensing, and Artificial Intelligence. She is particularly focused on developing resource-efficient models for Big Earth Spatial Data Management and Analytics (BESDMA). Her Ph.D. research aims to design sparse image representation models to improve remote sensing applications and resource efficiency in Earth observation systems. Additionally, Supritha has worked on various projects related to machine learning and active learning, emphasizing the importance of quality-sensitive solutions in data processing and analysis. Her innovative work in these fields has led to the publication of several impactful papers, furthering knowledge in her areas of research.

Awards:

Supritha N has earned numerous accolades throughout her career, underscoring her dedication and excellence in both research and teaching. She was awarded the Best Paper Award for her paper on “Object Placement Using Augmented Reality” at the 2nd National Conference on Computing Technology in 2022. Additionally, her work on “Communication for Motor Neuron Disease Patients via Eye Blink to Voice Recognition” received the Best Paper Award at the 14th National Conference in 2019. Her contributions to research have been recognized not only in academic circles but also through her active participation in national and international conferences and her ability to translate her research into real-world applications.

Publications:

Supritha N has authored and co-authored several research papers, many of which have been published in esteemed journals and conferences. Some of her key publications include:

  1. “Deep Spatio-textural feature driven multi-constraints pool-based active learning model for resource-efficient big earth observations” (2025), International Journal of Remote Sensing 🌍📚 [Cited by: 15 articles]
  2. “A Comprehensive Study on Satellite based Data Communication for Big Earth Observation Systems” (2024), IEEE International Conference on Knowledge Engineering and Communication Systems 🌐📈 [Cited by: 7 articles]
  3. “A Comparative Study of The CNN Based Models Used for Remote Sensing Image Classification” (2023), IJEER Journal 🛰️📄 [Cited by: 10 articles]
  4. “The Scope of Artificial Intelligence in Agriculture and Healthcare Sectors – A Comprehensive Review” (2022), Advanced Engineering Sciences 🤖🌾 [Cited by: 5 articles]

Conclusion:

Supritha N’s journey in academia and research reflects a high level of commitment, excellence, and passion for innovation. Her career trajectory, marked by substantial teaching experience and groundbreaking research, places her in a strong position for recognition in the field of Computer Science and Engineering. Her research work, particularly in Big Earth Analytics, remote sensing, and AI-driven models, has not only advanced academic understanding but also shown promise for real-world applications. With multiple publications, awards, and a demonstrated commitment to mentoring students, Supritha N is a deserving nominee for the Best Researcher Award. Her work continues to inspire peers and students alike, and she remains focused on pushing the boundaries of knowledge in her field.

Forouzan Mirmasoudi | Decision Sciences | Best Researcher Award

Posted on by Academic achievements

Dr. Forouzan Mirmasoudi | Decision Sciences | Best Researcher Award

postdoctoral student | Sharif University | Iran

Forouzan Mirmasoudi is an Iranian theoretical physicist specializing in quantum information, condensed matter physics, and quantum chaos. He has held prominent academic positions, including a postdoctoral position at Sharif University of Technology, where he conducted advanced research on the nonlinear response of quantum systems using the Jordan-Wigner fermionization method. With a robust academic background that includes a Ph.D. in Theoretical Physics from Mohaghegh Ardabili University, his work explores quantum dynamics, entanglement, and information theory in complex systems. He is a faculty member at the University of Mohaghegh Ardabili, contributing both as a teacher and researcher. Mirmasoudi’s work aims to bridge the gap between quantum theory and its practical applications, particularly in quantum information processing and thermodynamics.

Profile

Scopus

Education

Mirmasoudi’s educational journey in physics began with a B.Sc. from Damghan University in 2009, followed by an M.Sc. in Physics from Mohaghegh Ardabili University, where he specialized in particle physics and quantum information. His research during his Master’s program focused on the investigation of symmetry and conservation laws in particle physics. Building upon his foundational knowledge, he pursued a Ph.D. in Theoretical Physics at Mohaghegh Ardabili University, completing his thesis on “Quantum information theory in chaotic dynamical systems and its applications.” His doctoral research explored quantum chaos and the behavior of quantum systems, laying the groundwork for his later work in quantum entanglement and quantum chaos models. He further expanded his academic horizons with a postdoctoral fellowship at Sharif University of Technology, specializing in condensed matter theory, particularly the study of nonlinear responses in quantum systems.

Experience

Mirmasoudi has accumulated significant teaching experience over the years, serving as a faculty member at multiple universities. He has taught basic and advanced physics courses at Mohaghegh Ardabili University, University of Caspian College of Engineering, University of Tehran, and the University of Guilan. In addition to his teaching roles, Mirmasoudi has actively contributed to research, particularly in the areas of quantum dynamics and information theory. His expertise in using computational tools like Fortran, Mathematica, Matlab, and Python complements his theoretical work, especially in many-body systems and exact diagonalization methods. Mirmasoudi has also participated in various research collaborations, including a visiting researcher role at the University of Guilan, where he worked on quantum teleportation and super dense coding models.

Research Interests

Mirmasoudi’s research interests span several areas of quantum physics, including quantum entanglement, quantum chaotic systems, many-body physics, and complex dynamic systems. His work often intersects with quantum information science, focusing on the roles of quantum correlations, such as quantum discord, in the dynamics of quantum systems. He is particularly interested in how quantum information can be manipulated and harnessed in various physical systems, including spin chains, superconductors, and low-dimensional quantum systems. His current research also extends to the investigation of quantum thermodynamics, especially in relation to quantum heat engines and energy transfers, and the role of quantum entanglement in these processes. Mirmasoudi’s projects continue to evolve, reflecting his interest in both theoretical studies and practical applications of quantum mechanics.

Awards

Throughout his academic career, Mirmasoudi has received recognition for his contributions to quantum physics, particularly in the areas of quantum information theory and quantum chaos. His work has been acknowledged through various awards and nominations, reflecting his growing influence in the field. His published papers have received significant attention, and his contributions to understanding quantum systems in both theoretical and applied contexts have positioned him as a notable figure in the physics community.

Publications

Mirmasoudi’s research has resulted in several impactful publications, which have contributed to the understanding of quantum dynamics, information, and entanglement. His most notable works include:

  1. Mirmasoudi, F., & Ahadpour, S. (2018). Dynamics of super quantum discord and optimal dense coding in quantum channels, Journal of Physics A: Mathematical and Theoretical.
  2. Mirmasoudi, F., & Ahadpour, S. (2019). Application quantum renormalization group to optimal dense coding in transverse Ising model, Physica A: Statistical Mechanics and its Applications.
  3. Mirmasoudi, F., & Ahadpour, S. (2017). Dynamics super quantum discord and quantum discord teleportation in the Jaynes–Cummings model, Journal of Modern Optics.
  4. Mirmasoudi, F., Ahadpour, S., Vahedi, J., & Mahdavifar, S. (2019). The Loschmidt-echo dynamics in a quantum chaos model, Physica Scripta.
  5. Mirzaei, S., Najarbashi, G., Fasihi, M. A., & Mirmasoudi, F. (2018). Entanglement of multipartite fermionic coherent states for pseudo-Hermitian Hamiltonians, Theoretical and Mathematical Physics.
  6. Mirmasoudi, F., & Ahadpour, S. (2018). Thermal Quantum Discord and Super Quantum Discord Teleportation via Two-Qubit Spin Squeezing Model, Theoretical and Mathematical Physics.
  7. Ahadpour, S., Nemati, A., Mirmasoudi, F., & Hematpour, N. (2018). Projective Synchronization of Piecewise Nonlinear Chaotic Maps, Theoretical and Mathematical Physics.

These papers, published in high-impact journals, are widely cited and have contributed to significant advancements in the fields of quantum information, thermodynamics, and chaos theory. His research has had a profound influence on understanding quantum systems, with many of his works cited in subsequent studies, furthering the knowledge in these areas.

Conclusion

Forouzan Mirmasoudi’s academic and research career highlights a commitment to advancing the understanding of quantum physics, particularly in the realms of information theory, chaos, and condensed matter systems. His extensive teaching experience, coupled with his active participation in cutting-edge research, has positioned him as a prominent researcher in his field. Through his work, Mirmasoudi continues to explore the intricate dynamics of quantum systems, contributing valuable insights into the role of quantum information in both theoretical and applied contexts. As he progresses in his research, Mirmasoudi remains dedicated to furthering the field of quantum physics and inspiring the next generation of researchers.