Bo Deng | Neuron | Best Researcher Award

Posted on by Academic achievements

Prof. Dr. Bo Deng | Neuron | Best Researcher Award

Prof. Dr. Bo Deng | Neuron – Professor at Department of Mathematics, University of Nebraska-Lincoln, United States

Bo Deng is a highly accomplished mathematician known for his pioneering contributions to applied mathematics, particularly in the areas of dynamical systems, bifurcation theory, and mathematical biology. With a distinguished academic career spanning decades, Deng has played a crucial role in advancing the understanding of complex mathematical phenomena. His innovative research has influenced various interdisciplinary fields, including bioinformatics, neuroscience, population genetics, and ecology. Through his extensive work in nonlinear dynamics, he has significantly impacted the mathematical modeling of biological systems and theoretical mechanics.

Professional Profile

ORCID 

Education

Bo Deng earned his Ph.D. in Applied Mathematics from Michigan State University in 1987. Prior to this, he completed his Bachelor of Science degree in Mathematics from Fudan University in 1982. His doctoral research, supervised by the esteemed mathematician Shui-Nee Chow, focused on the bifurcation of periodic orbits from homoclinic orbits in infinite-dimensional systems. This work laid the foundation for his future contributions to the field of dynamical systems and mathematical modeling.

Experience

Bo Deng has been a faculty member at the University of Nebraska-Lincoln since 1988, where he progressed from Assistant Professor to a tenured Full Professor. Throughout his tenure, he has mentored numerous students and collaborated with leading researchers worldwide. His academic journey includes prestigious research fellowships at the National University of Singapore, where he furthered his expertise in complex dynamical systems. Additionally, his postdoctoral work at Brown University under the guidance of Jack Hale provided him with a robust foundation in differential equations and bifurcation theory.

Research Interests

Deng’s research focuses on various aspects of applied mathematics, including dynamical systems, bifurcation theory, game theory, and mathematical biology. His work on homoclinic bifurcations has provided valuable insights into chaotic attractors and complex system dynamics. He has applied his mathematical expertise to biological systems, particularly in modeling neuronal activities and ecological interactions. His interdisciplinary approach has led to significant advancements in understanding biological oscillations, particularly in pancreatic beta-cell dynamics. His research has also contributed to advancements in computational neuroscience and nonlinear dynamics.

Awards

Bo Deng’s contributions to mathematics have been recognized with numerous accolades. His excellence in research and teaching has earned him awards from academic institutions and professional societies. He has been invited to deliver keynote addresses at international conferences, further solidifying his reputation as a leading researcher in applied mathematics. His impactful research has led to prestigious fellowships and invitations to collaborative projects with globally renowned mathematicians.

Publications

“Bifurcation of a unique and stable periodic orbit from a homoclinic orbit” (1989) – Transactions of the American Mathematical Society 📖 Cited by 250+ articles.
“The Sil’nikov problem, exponential expansion, and homoclinic bifurcations” (1989) – Journal of Differential Equations 🔬 Cited by 300+ articles.
“Homoclinic bifurcations with nonhyperbolic equilibria” (1990) – SIAM Journal on Mathematical Analysis 📘 Cited by 180+ articles.
“The existence of infinitely many traveling front and back waves in FitzHugh-Nagumo equation” (1991) – SIAM Journal on Mathematical Analysis 🔢 Cited by 200+ articles.
“The transverse homoclinic dynamics and its bifurcation with nonhyperbolic fixed points” (1992) – Transactions of the American Mathematical Society 📗 Cited by 220+ articles.
“A mathematical model that mimics the bursting oscillations in pancreatic β-cells” (1994) – Mathematical Biosciences 🧬 Cited by 270+ articles.
“Constructing homoclinic orbits and chaotic attractors” (1994) – International Journal of Bifurcation and Chaos 🌀 Cited by 190+ articles.

Conclusion

Bo Deng’s profound impact on applied mathematics, particularly in dynamical systems and mathematical biology, makes him a highly deserving candidate for the Best Researcher Award. His extensive research contributions, mentorship, and interdisciplinary approach have enriched the field and inspired many scholars. With a strong record of publications, influential research, and international recognition, Deng continues to shape the landscape of mathematical sciences. Recognizing his work would not only celebrate his achievements but also encourage further advancements in mathematical research and its applications.

Preeti Sharma | Deep Learning | Women Researcher Award

Posted on by Academic achievements

Mrs . Preeti Sharma | Deep Learning | Women Researcher Award 

Assistant Professor , DIT University, Dehradun, Uttrakhand , India

Preeti Sharma is a dedicated researcher and educator currently pursuing a Ph.D. in Computer Science and Engineering at the University of Petroleum and Energy Studies, Dehradun. With a distinguished academic background including gold medals and high honors in her MTech and MCA degrees, Preeti has demonstrated excellence in her field. She is passionate about advancing the field of artificial intelligence and machine learning, focusing on generative adversarial networks (GANs) and deepfake detection.

Profile

Google Scholar

Education 

Preeti Sharma is pursuing a Ph.D. in Computer Science and Engineering at the University of Petroleum and Energy Studies, Dehradun, with her thesis submitted. She holds an MTech in Computer Science and Engineering from Uttarakhand Technical University, where she graduated as a gold medalist with an impressive 85%. Preeti completed her M.C.A. from M.D.U. (Campus), Rohtak, with a strong academic record of 82%.

Experience 

Preeti Sharma currently serves as a Junior Research Fellow and Teaching Assistant at the University of Petroleum and Energy Studies, Dehradun, where she has been contributing since April 2021. Prior to this, she was a Non-Teaching Staff member at the same university from September 2015 to March 2021. She also gained valuable experience as a Guest Lecturer at Arihant Institute of Technology, Haldwani, and an intern at the National Informatics Center (NIC).

Research Interests 

Preeti Sharma’s research interests include the application of Generative Adversarial Networks (GANs) in image and deepfake detection, robust CNN models, and advancements in digital forensics. Her work explores innovative methods for deepfake detection and image forgery using GAN-based models, contributing significantly to the field of multimedia tools and applications.

Awards 

Preeti Sharma has been recognized for her exceptional research and presentations. She received a certification for the best oral presentation at the International Young Researcher Conclave (IYRC-2024). Her paper on generative adversarial networks won first prize in the Research Conclave IYRC 2024 at UPES.

Publications 

  • Sharma, P., Kumar, M., Sharma, H.K. et al. Generative adversarial networks (GANs): Introduction, Taxonomy, Variants, Limitations, and Applications. Multimedia Tools and Applications (2024). Link
  • Sharma, P., Kumar, M., & Sharma, H.K. Robust GAN-Based CNN Model as Generative AI Application for Deepfake Detection, EAI Endorsed Trans IoT, vol. 10 (2024).
  • Sharma, P., Kumar, M., & Sharma, H.K. A generalized novel image forgery detection method using a generative adversarial network. Multimedia Tools and Applications (2023). Link
  • Sharma, P., Kumar, M., & Sharma, H.K. A GAN-based model of deepfake detection in social media. Procedia Computer Science, 218, 2153-2162 (2023).
  • Sharma, P., Kumar, M., & Sharma, H.K. Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation. Multimedia Tools and Applications, 82(12), 18117-18150 (2023).
  • Sharma, P., Kumar, M., & Sharma, H.K. A Guide to Digital Forensic: Theoretical to Software-Based Investigations. Perspectives on Ethical Hacking and Penetration Testing, IGI Global (2023). Link
  • Sharma, P., Kumar, M., & Sharma, H.K. CNN-based Facial Expression Recognition System Using Deep Learning Approach. Conference on Computational Intelligence and Information Retrieval CIIR (2021).
  • Sharma, P. Real Time Tracking System for Object Tracking using the Internet of Things (IoT). Conference on Computational Intelligence and Information Retrieval CIIR (2021).
  • Sharma, P. Leach and Improved Leach: A Review. International Journal of Advanced Research in Computer Science, Vol 10 (2019).

Conclusion

Preeti Sharma’s profile shows a strong foundation in research and technical expertise, with notable contributions to GANs and deepfake detection. Her academic achievements, innovative patents, and recognition in the field underscore her qualifications. To strengthen her candidacy for the Research for Women Researcher Award, she could emphasize the broader impact of her research and highlight her leadership or mentorship roles. Overall, her qualifications and achievements make her a strong contender for the award.