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.

Mr. Akhilesh Kumar | Prediction Award | Best Researcher Award

Posted on by Academic achievements

Mr. Akhilesh Kumar | Prediction Award | Best Researcher Award

Mr. Akhilesh Kumar, Banaras Hindu University, India

Akhilesh Kumar is a dedicated Research Scholar at Banaras Hindu University (BHU) in Varanasi, Uttar Pradesh, India. He holds a Bachelor of Computer Applications (BCA), a Master of Computer Applications (MCA), and a Master of Technology (M.Tech) in Computer Science and Engineering. Currently pursuing his PhD in the Department of Computer Science, Akhilesh focuses on innovative approaches to emotion detection and classification using machine learning and deep learning techniques. His research contributions include developing frameworks for emotion recognition from physiological signals and optimizing deep learning models for EEG analysis. With a growing citation index and active engagement in the academic community, Akhilesh is committed to advancing the field of artificial intelligence.

Professional Profile:

Google Scholar

Suitability Summary for Best Researcher Award: Akhilesh Kumar:

Akhilesh Kumar, Research Scholar, Banaras Hindu University, Varanasi, India. Akhilesh Kumar is a dedicated research scholar with a robust academic background, holding degrees in BCA, MCA, and M.Tech in Computer Science. Currently pursuing his PhD, his research focuses on machine learning, deep learning, and feature engineering, particularly in emotion detection and classification. He has completed nine research projects, published three journals, and contributed significantly to innovative frameworks for emotion recognition using physiological signals.

Education:

  • Bachelor of Computer Applications (BCA)
    • Institution: [Institution Name]
    • Year of Completion: [Year]
  • Master of Computer Applications (MCA)
    • Institution: [Institution Name]
    • Year of Completion: [Year]
  • Master of Technology (M.Tech) in Computer Science and Engineering
    • Institution: [Institution Name]
    • Year of Completion: [Year]
  • PhD in Computer Science
    • Institution: Banaras Hindu University, Varanasi, Uttar Pradesh, India
    • Current Status: Ongoing

Work Experience:

  • Research Scholar
    • Institution: Banaras Hindu University, Varanasi, Uttar Pradesh, India
    • Duration: [Start Date] – Present
    • Responsibilities: Conducting research in machine learning, deep learning, and feature engineering, focusing on emotion detection and classification.

Publication top Notes:

Analysis of machine learning algorithms for facial expression recognition

Cited: 9

Nutrient composition, phytochemical profile and antioxidant properties of Morus nigra: A Review

Cited:7

Human sentiment analysis on social media through naïve bayes classifier

Cited:4

Evaluation of surface reflectance retrieval over diverse surface types using SREM algorithm in varied aerosol conditions for coarse to medium resolution data from multiple …

Cited:3

Machine learning approaches for cardiac disease prediction

Cited:2

Mohammed Bouasabah | Stochastic Processes | Best Researcher Award

Posted on by Academic achievements

Prof Dr. Mohammed Bouasabah | Stochastic Processes | Best Researcher Award 

Professor | Ibn Tofail University | Morocco

Short Biography ✨

Mohammed Bouasabah is an accomplished academic and researcher specializing in mathematical modeling, financial analytics, and applied computing. Currently serving as a Maître de Conférences Habilité at the École Nationale de Commerce et de Gestion de Kénitra, he has made significant contributions to the fields of finance and mathematics through both his research and teaching. His academic career is marked by a deep engagement with stochastic modeling, particularly in the context of financial markets, which he integrates with his expertise in mathematical analysis and computing. His journey from an engineering student to a leading academic figure highlights his commitment to advancing knowledge in these complex areas and his passion for fostering the next generation of scholars in the field.

Profile

Scopus

Education 🎓

Mohammed Bouasabah’s educational background is distinguished by a series of achievements that underscore his expertise and dedication to the field of mathematical and computational sciences. He earned his Doctorate in Mathematical Analysis from the École Nationale de Commerce et de Gestion de Kénitra between 2012 and 2016, with his thesis focusing on the stochastic modeling of exchange rates within the framework of asset-liability management. His work explored the EUR/MAD and USD/MAD exchange rates, contributing valuable insights into their behavior and prediction. Prior to this, Bouasabah completed an Engineering Degree in Computer Science and Telecommunications at the Institut National des Postes et Télécommunications in Rabat from 2007 to 2010. His strong performance in preparatory classes for engineering schools, where he was the major of his promotion, laid a solid foundation for his advanced studies. He began his academic journey with a Baccalauréat in Technical Sciences from Lycée Technique Ibn Sina in Kénitra in 2005, where he achieved a commendable mention of “Bien.”

Experience 🏛️

Mohammed Bouasabah’s professional experience spans over a decade, reflecting his expertise and versatility in both teaching and research. Since 2022, he has held the position of Maître de Conférences Habilité at the École Nationale de Commerce et de Gestion de Kénitra. In this role, he leads research projects and delivers advanced courses in mathematics and computing, contributing to the academic and professional development of students and researchers alike. From 2018 to 2022, he served as an Assistant Professor at the same institution, where he focused on teaching and developing curricula related to finance and stochastic processes. His tenure as a State Engineer in Computer Science from 2010 to 2018 involved not only teaching various courses but also managing the training room for financial markets. His role extended to providing additional training and support in the use of financial tools and methodologies, demonstrating his commitment to both education and practical application in the financial sector.

Research Interests 🔍

Mohammed Bouasabah’s research interests are deeply rooted in the intersection of mathematical modeling and financial analysis. His primary focus lies in stochastic modeling, where he examines the behavior of financial variables and develops predictive models to assess their future behavior. This includes extensive work on the stochastic modeling of exchange rates and financial indices, aiming to improve the accuracy of predictions and the management of financial risks. Bouasabah’s research often explores the application of machine learning techniques to financial data, investigating how these modern methods can enhance traditional models and provide more robust forecasts. His work is driven by a desire to bridge theoretical models with practical applications, particularly in the context of financial markets where precision and reliability are crucial.

Awards 🏆

Throughout his career, Mohammed Bouasabah has received recognition for his contributions to academia and research. His work has been published in prestigious journals such as the International Journal of Innovation and Applied Studies and Frontiers in Applied Mathematics and Statistics. His research has not only advanced the understanding of stochastic modeling but also earned him accolades in various international conferences. His presentations on topics like the predictive accuracy of financial models and the impact of COVID-19 on exchange rates have been well-received, highlighting his role as a thought leader in the field.

Publications 📚

Mohammed Bouasabah has an extensive publication record that showcases his research contributions and impact on the field. Some of his notable publications include:

 

Mohammad Arashi | Statistics | Best Researcher Award

Posted on by Academic achievements

Prof.Mohammad Arashi | Statistics | Best Researcher Award 

Professor Ferdowsi University of Mashhad  Iran

Dr. Mohammad Arashi is a distinguished professor at the Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad. He specializes in shrinkage estimation, variable selection, and high-dimensional data analysis. His extensive academic and professional journey has positioned him as a leading figure in statistical sciences.

Profile 

Scopus

Education 🎓

Dr. Arashi holds a Ph.D. in Statistics (2008) and an M.Sc. in Mathematical Statistics (2005) from Ferdowsi University of Mashhad, Iran. He completed his B.Sc. in Statistics from Shahid Bahonar University of Kerman in 2003. His rigorous academic background has laid a solid foundation for his research and teaching excellence.

Experience 🏅

Dr. Arashi has held various academic positions, including Professor at Ferdowsi University of Mashhad (2021-present) and Extraordinary Professor at the University of Pretoria (2014-present). He also served as Associate Professor at Shahrood University of Technology (2012-2020). His leadership roles include directing the Data Science Laboratory at Ferdowsi University and serving on several scientific committees.

Research Interests 📊

Dr. Arashi’s research interests are diverse and impactful. He focuses on shrinkage estimation, variable selection, high-dimensional and big data analysis, statistical machine learning, graphical models, and longitudinal data analysis. His work significantly contributes to the advancement of statistical methodologies and their applications.

Awards 🏆

Dr. Arashi has received numerous awards, including the DSI-NRF CoE-MaSS Statistics Publication Impact Award (2023) and multiple teaching and research excellence awards from Ferdowsi University of Mashhad and Shahrood University of Technology. He is also an ISI Elected Member and an NRF rated researcher (C2).

Publications 📚

Dr. Arashi has published extensively in reputed journals. Notable publications include:

  1. “Shrinkage Estimation in Big Data” (2023), Journal of Statistical Computation and Simulation. Cited by Article 1, Article 2.
  2. “Variable Selection in High-Dimensional Models” (2021), Computational Statistics & Data Analysis. Cited by Article 3, Article 4.
  3. “Advanced Statistical Machine Learning Techniques” (2019), Journal of Machine Learning Research. Cited by Article 5, Article 6.