Aram Papoyan | Data Analysis Innovation | Best Researcher Award

Prof. Aram Papoyan | Data Analysis Innovation | Best Researcher Award

Prof. Aram Papoyan at Institute for Physical Research, NAS of Armenia, Armenia

👨‍🎓  Profiles

🌟 Summary

Prof. Aram Papoyan is a distinguished expert in Laser Physics and Optics, known for his extensive research and leadership at the Institute for Physical Research in Armenia. He has played a pivotal role in international scientific collaborations.

🎓 Education

He earned his Master in Radiophysics from Yerevan State University in 1982, followed by a PhD in Optics from the Institute for Physical Research, NAS Armenia in 1991. In 2005, he completed his DSc in Laser Physics.

💼 Professional Experience

Prof. Papoyan has served as Director of the Institute for Physical Research since 2006 and heads the Laboratory of Optics. His previous roles include Vice-Director and Senior Researcher across various positions since 1986. He also supervises PhD students at the Russian-Armenian University.

🏆 Accolades and Recognition

He has received the Anania Shirakatsi Medal (2013) and the Galileo Galilei Award (2015) from the International Commission for Optics. Additionally, he was honored as an OSA Advocate of Optics in 2019 and holds multiple awards for contributions to physics.

🔬 Research Interests

Prof. Papoyan focuses on Laser Physics, Atomic Physics, and Quantum Optics, with interests in coherent population trapping, magneto-optical effects, and advanced optical imaging techniques, as well as laser-induced reactions and molecular spectroscopy.

 

📖 Top Noted Publications

Scanning technique for direct optical transmission imaging of highly-scattering objects
    • Authors: Svetlana Shmavonyan, Aleksandr Khanbekyan, Marina Movsisyan, Aram Papoyan
    • Journal: Optics and Lasers in Engineering
    • Year: 2025
Electromagnetically induced transparency with magnetically induced ΔF = 0, mF = 0 → mF = 0 probe transition
    • Authors: Armen Sargsyan, David Sarkisyan, Aram Papoyan
    • Journal: Laser Physics
    • Year: 2024
Mirrorless Lasing: A Theoretical Perspective
    • Authors: A. Ramaswamy, J. Chathanathil, D. Kanta, E. Klinger, A. Papoyan, S. Shmavonyan, A. Khanbekyan, A. Wickenbrock, D. Budker, S. A. Malinovskaya
    • Journal: Optical Memory and Neural Networks
    • Year: 2023
Peculiarities of Fluorescence of Rb Atomic Vapors Contained in a cell with an anti-relaxation coating
    • Authors: Aram Papoyan
    • Journal: Optics and Spectroscopy
    • Year: 2023
Wide range linear magnetometer based on a sub-microsized K vapor cell
    • Authors: M. Auzinsh, A. Sargsyan, A. Tonoyan, C. Leroy, R. Momier, D. Sarkisyan, A. Papoyan
    • Journal: Applied Optics
    • Year: 2022

Cancellation of D1 line transitions of alkali-metal atoms by magnetic-field values

    • Authors: Artur Aleksanyan, Rodolphe Momier, Emil Gazazyan, Aram Papoyan, Claude Leroy
    • Journal: Physical Review A
    • Year: 2022

Qinxu Ding | Machine Learning and AI Applications | Best Researcher Award

Dr. Qinxu Ding | Machine Learning and AI Applications | Best Researcher Award

Dr. Qinxu Ding at Singapore University of Social Sciences, Singapore

PROFILES👨‍🎓

EARLY ACADEMIC PURSUITS 📚

This accomplished individual began their academic journey with a B.S. in Information and Numerical Science from Nankai University, Tianjin, China, graduating in July 2015 with an impressive GPA of 89/100. Their undergraduate studies laid a strong foundation in Mathematical Statistics, Probability Theory, and Data Mining, which paved the way for further academic exploration. They pursued a Ph.D. in Computational Mathematics at Nanyang Technological University, completing their thesis on Numerical Treatment of Certain Fractional and Non-fractional Differential Equations in April 2020.

PROFESSIONAL ENDEAVORS 💼

Currently, this individual serves as a Lecturer and DBA Supervisor in the Finance Programme at the Business School of the Singapore University of Social Sciences (SUSS) since July 2021. Their teaching portfolio includes various fintech courses such as Machine Learning and AI for FinTech, Blockchain Technology, and Risk Management for Finance and Technology. Prior to this role, they were a Research Fellow at the Alibaba-NTU Singapore Joint Research Institute, focusing on Explainable Artificial Intelligence.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Their research interests lie at the intersection of applied machine learning, computational mathematics, and blockchain technology in fintech. They have made significant contributions through publications in top-tier AI conferences, including ICLR, NeurIPS, AAAI, and CIKM, as well as prestigious journals in computational mathematics and fintech.

IMPACT AND INFLUENCE 🌟

The individual has played a pivotal role in enhancing the understanding of machine learning models and their applicability in real-world financial scenarios. Their work on adversarial attacks in deep neural networks and the development of explainable AI frameworks has positioned them as a thought leader in the field, influencing both academic and industrial practices.

ACADEMIC CITES 📖

Their groundbreaking research has been recognized in multiple high-impact venues, highlighting their innovative approaches to complex problems in fintech. Notable publications include works on adversarial defenses, counterfactual explanations, and recommendation systems, reflecting a robust commitment to advancing knowledge in AI and fintech.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

As a Chartered Fintech Professional and a member of various academic committees, this individual continues to contribute to the fintech community. Their involvement in organizing the Global Web3 Eco Innovation Summit 2022 illustrates their dedication to fostering innovation and collaboration in the fintech space. Looking ahead, they aim to further bridge the gap between academia and industry, shaping the future of fintech through research and education.

TOP NOTED PUBLICATIONS 📖

Stable neural ode with lyapunov-stable equilibrium points for defending against adversarial attacks
    • Authors: Q. Kang, Y. Song, Q. Ding, W. P. Tay
    • Journal: Advances in Neural Information Processing Systems
    • Year: 2021
Non-polynomial Spline Method for Time-fractional Nonlinear Schrödinger Equation
    • Authors: Q. Ding, P. J. Y. Wong
    • Journal: 15th International Conference on Control, Automation, Robotics and …
    • Year: 2018
A hybrid bandit framework for diversified recommendation
    • Authors: Q. Ding, Y. Liu, C. Miao, F. Cheng, H. Tang
    • Journal: Proceedings of the AAAI Conference on Artificial Intelligence
    • Year: 2021
Quintic non-polynomial spline for time-fractional nonlinear Schrödinger equation
    • Authors: Q. Ding, P. J. Y. Wong
    • Journal: Advances in Difference Equations
    • Year: 2020
A survey on decentralized autonomous organizations (DAOs) and their governance
    • Authors: Q. Ding, D. Liebau, Z. Wang, W. Xu
    • Journal: World Scientific Annual Review of Fintech
    • Year: 2023
The skyline of counterfactual explanations for machine learning decision models
    • Authors: Y. Wang, Q. Ding, K. Wang, Y. Liu, X. Wu, J. Wang, Y. Liu, C. Miao
    • Journal: Proceedings of the 30th ACM International Conference on Information …
    • Year: 2021

S. Joseph Antony | Interdisciplinary Data Insights | Excellence in Research

Dr. S. Joseph Antony | Interdisciplinary Data Insights | Excellence in Research

Doctorate at University Of Leeds, United Kingdom

👨‍🎓 Profile

Scopus Profile

👨‍🔬 Academic Background

Dr. S. Joseph Antony is an Associate Professor at the School of Chemical and Process Engineering, University of Leeds. His research expertise lies in granular mechanics, particle technology, and stress sensing across diverse applications. With a focus on interdisciplinary projects, Dr. Antony investigates the reuse of conventional wastes in concrete, bio-stress measurements, and the impacts of pandemics on engineering and economies. He has been honored with the MIT Young Researcher Fellowship Award and actively contributes to his field through extensive publications and editorial roles.

🎓 Education

  • B.E. in Civil Engineering, University of Madras, 1987
  • MSc (Eng.) in Engineering, Indian Institute of Science (IISc), Bangalore, 1991
  • PhD in Engineering, IISc, Bangalore, 1996

🏢 Professional Experience

  • Associate Professor, School of Chemical and Process Engineering, University of Leeds (Jan 2013 – present)
  • Senior Lecturer, Institute of Particle Science and Engineering, University of Leeds (Aug 2006 – Dec 2012)
  • Lecturer, Department of Chemical Engineering, University of Leeds (Mar 2001 – Jul 2006)
  • Research Fellow, Department of Chemical Engineering, University of Surrey (Jun 1999 – Feb 2001)
  • Research Fellow, Department of Civil Engineering, Aston University (Nov 1996 – May 1999)

🔬 Research Interests

Dr. Antony’s research focuses on the fundamental and applied aspects of granular mechanics and particle technology. His work includes the development of multi-scale modeling techniques using Discrete Element Method (DEM), Finite Element Method (FEM), and Molecular Dynamics (MD) simulations. He is also involved in cutting-edge experimental methods such as photo-stress sensing and strength measurements of materials. His interdisciplinary research explores the reuse of conventional wastes in concrete, investigates bio-stress measurement techniques, and examines the impacts of pandemics on engineering industries and national economies. Dr. Antony’s work aims to bridge the gap between particle-scale properties and macroscopic behavior, contributing to both industrial applications and theoretical advancements.

💼 Research Grants

Dr. Antony has secured funding for various projects, including:

  • Developing products by reutilizing plastic wastes (£130K)
  • Predictive tools for understanding COVID-19 impacts (£100K)
  • Engineering composites using municipal waste materials (£100K)
  • Optimal dispatch of virtual power plants (£80K)
  • Advanced photo-stress analysis of composite beams ($1.05M)

🔧 Administrative Duties

  • Industrial Placement Year Leader and Manager, School of Chemical and Process Engineering (2018 – present)
  • Former Faculty Equality and Diversity Officer, leading the successful Athena Swan Bronze Award application.

📖 Publications

Untreated municipal solid waste incineration ashes for cement replacement
    • Authors: Tokgoz, D.D.G., Ozerkan, N.G., Antony, S.J.
    • Journal: Journal of Engineering Research (Kuwait)
    • Year: 2023
Experimental DEM Hybrid Approach for Prediction of Landslide in Ughelli Sandstone
    • Authors: Olugbenga, A.G., Antony, S.J., Nasir, A., Garba, M.U., Yahya, M.D.
    • Conference Paper: Lecture Notes in Electrical Engineering
    • Year: 2023
Analysis of Bidding Strategies in Virtual Power Plant
    • Authors: Pal, P., Parvathy, A.K., Devabalaji, K.R., Joseph Antony, S., Ocheme, S.E.
    • Book Chapter: Green Energy and Technology
    • Year: 2023
Modeling the Outflow of Particulate Solids from a Container Taking into Account the Effect of Adhesion to the Wall
    • Authors: Amanbaev, T.R., Antony, S.J.
    • Journal: Fluid Dynamics
    • Year: 2022
Design of IoT Based Load Management for Off-Grid Renewable Energy Sources
    • Authors: Pal, P., Parvathy, A.K., Devabalaji, K.R., Antony, S.J.
    • Conference Paper: AIP Conference Proceedings
    • Year: 2022
Development of Mathematical Models Taking into Account the Effect of Isolating Individuals in a Population
    • Authors: Amanbaev, T.R., Antony, S.J.
    • Journal: Mathematical Models and Computer Simulations
    • Year: 2022