Amir Abdollahi | Electrical Engineering | Best Researcher Award

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Prof. Dr. Amir Abdollahi | Electrical Engineering | Best Researcher Award

Professor, Shahid Bahonar University of Kerman, Iran

Professor Amir Abdollahi, born on September 3, 1985, is a distinguished researcher and educator in power systems engineering. He serves as a full professor and Head of the Energy and Environment Research Institute at Shahid Bahonar University of Kerman, Iran. Prof. Abdollahi earned his Ph.D. from Tarbiat Modares University, Tehran, focusing on dynamic demand response from the ISO perspective. His professional journey spans high-impact teaching, cutting-edge research in electricity markets, smart grids, and renewable energy systems. Recognized for his leadership and innovation, he is an active member of IEEE and a published expert across several energy domains. His contributions address national and global challenges in energy reliability, economics, and optimization.

Profiles

🎓 Education

Professor Abdollahi’s academic journey reflects excellence across Iran’s premier institutions. He completed his Ph.D. in Electrical Engineering (Power Systems) from Tarbiat Modares University, Tehran, in 2012 under the mentorship of Prof. Mohsen Parsa Moghaddam. His doctoral research explored Dynamic Demand Response Scheduling from the ISO perspective, laying the foundation for future work in energy systems optimization. He holds a Master’s degree (M.Sc., 2009) from Sharif University of Technology, where he worked with Prof. Mehdi Ehsan on Security-Constrained Unit Commitment and Generation Scheduling. He began his academic pursuit with a B.Sc. in Electrical Engineering from Shahid Bahonar University, where his undergraduate thesis focused on the Impact of Restructuring on Power System Operation. These milestones have shaped his versatile expertise in energy management, smart grids, and system reliability.

👨‍🏫 Experience

Prof. Abdollahi brings over a decade of academic and research experience. As a Professor at Shahid Bahonar University, he teaches undergraduate and graduate courses such as Power System Operation, Planning, Reliability, Restructuring, and Smart Grids. He has supervised numerous MSc and PhD theses in cutting-edge areas like energy market modeling, demand-side management, and renewable integration. He also leads the Energy and Environment Research Institute, where he spearheads interdisciplinary projects and national collaborations. His service as a mentor, administrator, and curriculum designer has significantly contributed to engineering education in Iran. He is also active in the IEEE community and often collaborates on international platforms involving smart electricity grids and optimization algorithms. His dynamic presence bridges research, teaching, and innovation.

🔬 Research Focus 

Prof. Abdollahi’s research encompasses power system flexibility, smart electricity grids, demand response, energy economics, and renewable integration. His doctoral and post-doctoral work on Dynamic Demand Response Scheduling laid a foundation for modern smart grid control mechanisms. He investigates ways to optimize electricity markets under uncertainty, often using game theory, multi-criteria decision making (MCDM), and hybrid optimization methods. His ongoing projects explore the interaction of distributed energy resources with power system operation, market simulation, and energy resilience strategies. He combines theoretical modeling with real-world scenarios, contributing solutions for grid reliability, peak load management, and market regulation in developing and developed contexts. With energy systems undergoing rapid digital transformation, his work stands at the intersection of engineering, economics, and sustainability.

📄 Publication Top Notes

1. Flexible demand response programs modeling in competitive electricity markets

Authors: M.P. Moghaddam, A. Abdollahi, M. Rashidinejad
Journal: Applied Energy, Volume 88, Issue 9, 2011, Pages 3257–3269
Cited by: 391
Summary:
This paper develops a detailed framework for modeling various flexible demand response (DR) programs in competitive electricity markets. It distinguishes between incentive-based and price-based mechanisms, incorporating customer behavior in response to market signals. By applying optimization techniques, the authors evaluate the impact of DR on market performance, load profiles, and system reliability. The study concludes that DR can significantly enhance both economic efficiency and grid stability.

2. Investigation of economic and environmental-driven demand response measures incorporating UC

Authors: A. Abdollahi, M.P. Moghaddam, M. Rashidinejad, M.K. Sheikh-El-Eslami
Journal: IEEE Transactions on Smart Grid, Volume 3, Issue 1, 2011, Pages 12–25
Cited by: 211
Summary:
This work integrates economic and environmental considerations into a unit commitment (UC) model enhanced with demand response. It proposes a flexible UC framework that incorporates DR as a scheduling tool for power system operators. Using scenario-based simulations, the authors demonstrate that DR reduces both operational costs and CO₂ emissions. The paper emphasizes the strategic role of DR in achieving sustainability goals in smart grid operations.

3. Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model

Authors: H. Khaloie, A. Abdollahi, M. Shafie-Khah, A. Anvari-Moghaddam, S. Nojavan, et al.
Journal: Applied Energy, Volume 259, 2020, Article 114168
Cited by: 159
Summary:
The study proposes a multi-stage stochastic model for coordinated operation of wind, thermal, and energy storage systems in energy and spinning reserve markets. The model effectively handles uncertainties in wind power and market prices, offering optimal bidding strategies to maximize profit while ensuring system reliability. This paper highlights how energy storage enhances the dispatchability of renewable energy and supports reserve provision in volatile market conditions.

4. A comprehensive sequential review study through the generation expansion planning

Authors: H. Sadeghi, M. Rashidinejad, A. Abdollahi
Journal: Renewable and Sustainable Energy Reviews, Volume 67, 2017, Pages 1369–1394
Cited by: 152
Summary:
This review comprehensively analyzes generation expansion planning (GEP) techniques, classifying them by modeling approaches, uncertainty treatment, and objective criteria (economic, environmental, technical). It covers classical methods, stochastic programming, robust optimization, and scenario analysis, providing a step-by-step understanding of GEP frameworks. The study also explores integration of renewable energy, environmental regulations, and modern computational tools, making it a valuable reference for researchers and planners.

5. Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties

Authors: H. Khaloie, A. Abdollahi, M. Shafie-Khah, P. Siano, S. Nojavan, et al.
Journal: Journal of Cleaner Production, Volume 242, 2020, Article 118434
Cited by: 130
Summary:
This paper introduces a co-optimization strategy for hybrid renewable-conventional power systems (wind, thermal, and solar) in deregulated electricity markets. A stochastic programming approach accounts for uncertainties in generation, demand, and market prices. The findings show improved profitability and resilience of integrated energy systems. It also emphasizes the advantages of diversification and coordination among different energy sources under competitive market conditions.

6. The energy hub: An extensive survey on the state-of-the-art

Authors: H. Sadeghi, M. Rashidinejad, M. Moeini-Aghtaie, A. Abdollahi
Journal: Applied Thermal Engineering, Volume 161, 2019, Article 114071
Cited by: 104
Summary:
This extensive review presents the concept of the “energy hub” as a pivotal solution for managing multiple energy carriers (electricity, gas, heat, etc.) in a smart and integrated manner. It classifies energy hub models based on their mathematical formulation, control strategies, and optimization approaches. The review also discusses the role of energy hubs in smart cities and highlights future challenges in terms of uncertainty modeling, renewable integration, and cyber-physical system design.

7. Evaluation of plug-in electric vehicles impact on cost-based unit commitment

Authors: E. Talebizadeh, M. Rashidinejad, A. Abdollahi
Journal: Journal of Power Sources, Volume 248, 2014, Pages 545–552
Cited by: 101
Summary:
The paper investigates the influence of plug-in electric vehicles (PEVs) on traditional unit commitment strategies. A cost-based unit commitment model is enhanced by incorporating vehicle-to-grid (V2G) capabilities. The analysis reveals that coordinated charging and discharging of PEVs can flatten load profiles, improve generation scheduling, and reduce overall operational costs. This study showcases the benefits of integrating transportation electrification with power system operation.

8. Probabilistic multiobjective transmission expansion planning incorporating demand response resources and large-scale distant wind farms

Authors: A. Hajebrahimi, A. Abdollahi, M. Rashidinejad
Journal: IEEE Systems Journal, Volume 11, Issue 2, 2017, Pages 1170–1181
Cited by: 95
Summary:
This work introduces a probabilistic multiobjective framework for transmission expansion planning (TEP), considering both demand response and large-scale remote wind integration. Using a scenario-based optimization model, it evaluates trade-offs among cost, reliability, and environmental factors. The study emphasizes the significant impact of demand-side resources and renewables on reducing transmission investments and increasing system flexibility.

9. The role of energy storage and demand response as energy democracy policies in the energy productivity of hybrid hub system considering social inconvenience cost

Authors: S. Dorahaki, A. Abdollahi, M. Rashidinejad, M. Moghbeli
Journal: Journal of Energy Storage, Volume 33, 2021, Article 102022
Cited by: 63
Summary:
The authors explore how energy storage and demand response can support energy democracy and enhance energy productivity in hybrid hub systems. A multi-objective optimization model is proposed, which includes social inconvenience costs—representing the discomfort experienced by users due to participation in DR programs. The findings advocate for people-centered energy policies that balance technical efficiency with consumer welfare.

10. Risk-based probabilistic-possibilistic self-scheduling considering high-impact low-probability events uncertainty

Authors: H. Khaloie, A. Abdollahi, M. Rashidinejad, P. Siano
Journal: International Journal of Electrical Power & Energy Systems, Volume 110, 2019, Pages 598–612
Cited by: 61
Summary:
This paper proposes a hybrid probabilistic-possibilistic model for the self-scheduling of power producers under uncertainty. It particularly addresses high-impact low-probability (HILP) events, such as extreme weather or cyberattacks. The model integrates risk-averse strategies with operational decision-making to maintain reliability and cost-effectiveness. The approach is validated using case studies that show how HILP scenarios influence bidding and reserve commitments in electricity markets.

Conclusion

Professor Amir Abdollahi is a highly qualified and influential academic in the field of Power Systems Engineering. His academic leadership, diverse teaching, and research focus on modern challenges in energy systems make him a strong candidate for the Best Researcher Award, particularly at the national or institutional level.

Sumathi Robert Shanmugam | Nursing | Best Researcher Award

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Assist. Prof. Dr. Sumathi Robert Shanmugam | Nursing | Best Researcher Award

Assistant Professor, Princess Nourah bint Abdulrahaman University, Saudi Arabia

Dr. Sumathi Robert Shanmugam is an accomplished academician and researcher in the field of nursing. Currently serving as an Assistant Professor at the College of Nursing, Princess Nourah Bint Abdulrahman University in Riyadh, Saudi Arabia, she brings over 29 years of teaching experience. Dr. Shanmugam holds a Ph.D. in Pediatric Nursing, specializing in advancing educational practices and innovative clinical assignments. She is passionate about improving academic standards and student learning through technology-based teaching methods and has contributed significantly to the development of nursing curricula and research methodology. Her work focuses on pediatric care, nursing education, and women’s health, and she is actively involved in mentoring research scholars and guiding students in research methodologies. With multiple publications in reputable journals and awards such as the Distinguished Teacher Award for 2023, Dr. Sumathi is recognized as a leader in nursing education and research.

Profile

Education

Dr. Sumathi Robert Shanmugam earned her Ph.D. in Pediatric Nursing, where she delved into the complexities of child health and nursing care. She holds a robust academic background, having completed advanced studies in nursing sciences, which laid the foundation for her extensive career in academia and research. Over the years, Dr. Sumathi has continuously sought to enhance her professional knowledge by engaging in numerous academic courses and workshops, ensuring that she stays at the forefront of nursing education. Her dedication to the field of nursing is reflected in her active contributions to the development of nursing curricula, particularly in Bachelor of Maternity Nursing programs. Dr. Shanmugam’s academic achievements have earned her recognition in the form of the Distinguished Teacher Award 2023, which serves as a testament to her commitment to shaping future generations of nurses. Her academic credentials and ongoing contributions continue to make her a leading figure in the field of nursing education.

Experience

With over 29 years of experience in nursing education, Dr. Sumathi Robert Shanmugam has carved a distinguished career in both teaching and research. Throughout her career, she has successfully implemented technology-based teaching methods that have transformed traditional classroom settings, bringing innovation into nursing education. Dr. Shanmugam has also contributed to the academic world by developing clinical assignments and simulation training programs, which help students hone their skills in real-world scenarios. Beyond her teaching role, she actively mentors students and researchers, guiding them through research methodology, data analysis, and manuscript writing. Her leadership extends to her role as a Research Mentor for Ph.D. scholars, where she fosters research growth in nursing. Additionally, Dr. Shanmugam has had key editorial roles, contributing to Paediatric Nursing Journals and co-authoring chapters in nursing textbooks. Her work continues to influence nursing education, both in Saudi Arabia and internationally.

Research Focus

Dr. Sumathi Robert Shanmugam’s research interests span a wide range of critical topics within the nursing domain, with a particular emphasis on Pediatric care, Women’s and Child Health, Nursing Education, and the use of Simulation in Nursing. Her focus on nursing education includes developing new curricula and enhancing training programs for better practical application and academic delivery. Additionally, Dr. Shanmugam has explored the psychological aspects of healthcare, particularly through research examining emotional intelligence and well-being among nursing students. Her research on simulation-based training is particularly noteworthy, as it bridges the gap between theory and practice, ensuring that future nurses are well-prepared for the challenges they will face in real-world clinical settings. Dr. Shanmugam is also involved in collaborative research projects, such as studies on psychological health, addiction recovery, and the impact of COVID-19 on mental health in various populations, making her research both diverse and impactful.

Publication Top Notes

  • Levels of depression among wives of alcoholics and non-alcoholics-A comparative study (Indian Journal of Psychiatric Nursing, 2018) 🌍📚
  • Impact of sleep and psychological well-being on the academic and clinical performance of nursing students in Saudi Arabia (Psychology Research and Behavior Management, 2024) 🌙📈
  • Emotional intelligence and self-esteem among Saudi Arabian and Indian nursing students: findings from two countries (BMC Nursing, 2024) 🌟💡
  • Awareness, Perceived Benefits and Barriers of Usage of Open Access Scholarly Publishing among Faculty (Cardiometry, 2023) 🖋️📑
  • Effectiveness of music therapy on pain, anxiety, depression and quality of life among patients with cancer—A systematic review (Int J Nurs Health Care Res, 2023) 🎶💪
  • Psychological effects of COVID-19 lockdown among Aseer residents, Saudi Arabia (JPMA, 2023) 🦠😷
  • Facilitators and Barriers for Advocacy among Nurses-A Cross-Sectional Study (The Malaysian Journal of Nursing, 2024) 🧑‍⚕️🤝
  • WhatsApp Addiction and Educators Role in WhatsApp usage among Students (Psychology and Education, 2021) 📱👨‍🏫
  • Quality of life among wives of juvenile diabetics (Tamilnadu Nurses and Midwives Council, 2018) ❤️📊
  • Psychological problems among children of alcohol dependents with children of juvenile diabetics (The Journal of Nursing Trendz, 2018) 🧒🍷
  • Psychological problems among wives of alcohol dependents with wives of Juvenile diabetics and normal controls (Indian Journal of Advanced Nursing, 2018) 🧠💔
  • Deep Tissue Massage (Journal of Medical Surgical Nursing, 2014) 💆‍♀️📖
  • Collaborative newborn care- Nurses Role (Nightingale Nursing Times, 2010) 👶🤱
  • Newborn care practices (Health Action, 2010) 🍼👶

 

 

Anatolij Prykarpatski | supersymmetric models of quantum physics | Excellence Award (Any Scientific field)

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Prof. Dr. Anatolij Prykarpatski | supersymmetric models of quantum physics | Excellence Award (Any Scientific field)

Prof. Dr. Anatolij Prykarpatski, Lviv Polytechnic National University, Ukraine

Anatolij K. Prykarpatsky is a prominent Ukrainian mathematician and physicist, specializing in mathematical physics. He holds a Ph.D. and Habilitation degree in Mathematics and Physics. With a distinguished career as a full professor at Lviv Polytechnic National University in Ukraine, he has contributed extensively to applied mathematics, mathematical physics, and dynamical systems. Prof. Prykarpatsky has been a visiting professor at renowned institutions like the New Jersey Institute of Technology (USA), Massachusetts Institute of Technology (MIT), and Hacettepe University (Turkey). His work spans differential equations, algebraic methods, quantum mathematics, and nonlinear dynamical systems. Fluent in several languages, including English, Polish, and Russian, his contributions are recognized globally, having collaborated with researchers across Europe, the USA, and Russia. His dedication to teaching and research makes him a respected figure in the field of mathematical physics.

Profile :

Orcid 

Education :

Anatolij K. Prykarpatsky earned his Master’s degree in Physics from Ivan Franko Lviv State University in 1975. He later pursued a graduate program in Mathematical Physics at the Institute of Mathematics of the National Academy of Sciences of Ukraine, where he completed his Ph.D. in 1980. His dissertation focused on the integrability of ordinary Riccati and partial differential equations in mathematical physics. In 1987, he received his Habilitation degree, with a thesis on nonlinear dynamical systems of statistical and mathematical physics. His academic journey was further enriched through research at the Laboratory of Theoretical Physics at the Joint Institute for Nuclear Research in Dubna, Russia. Prof. Prykarpatsky’s advanced studies have shaped his multidisciplinary expertise in mathematics and physics, enabling him to explore complex systems and contribute significantly to scientific advancements in various fields, including quantum mathematics and dynamical systems.

Experience :

Prof. Anatolij K. Prykarpatsky has a distinguished academic career, serving as a full professor in the Department of Computational Mathematics at Lviv Polytechnic National University, Ukraine, since 1995. His international experience includes multiple visits as a professor to prestigious institutions such as the New Jersey Institute of Technology (USA), Massachusetts Institute of Technology (MIT), and Hacettepe University (Turkey). His teaching expertise covers a range of courses in mathematical physics, dynamical systems, algebra, and operator theory. He has advised numerous graduate and Ph.D. students across Europe, Ukraine, and Russia. His involvement in various international collaborations, alongside his extensive research background, has earned him a reputation as a leading figure in his field. Throughout his career, Prof. Prykarpatsky has made significant contributions to the development of mathematical theories and applied methodologies, particularly in nonlinear dynamics and quantum mathematics, establishing a solid academic legacy.

Awards and Honors :

Anatolij K. Prykarpatsky has received several prestigious awards in recognition of his groundbreaking work in mathematics and physics. In 1982, he was honored with a Diploma from the National Academy of Sciences (NAS) in Mathematical Physics, Kyiv. He received the Ostrovsky Republican Award in Science and Technology in 1984. In 2003, he was awarded the Silver Order “For the Service” by the President of the Polish Republic. Prof. Prykarpatsky’s scientific excellence was further recognized by the Western Scientific Centre of NAS of Ukraine in 2003. In 2009, he received the N. Bogolubov Award in Statistical and Mathematical Physics from NAS Ukraine. In 2019, he was awarded the prestigious State Prize in Science and Technology of Ukraine. These accolades reflect his significant contributions to the advancement of scientific knowledge, particularly in the fields of nonlinear dynamical systems, mathematical physics, and quantum mathematics.

Research Focus :

Prof. Anatolij K. Prykarpatsky’s research focuses on a wide range of topics within mathematical physics, emphasizing nonlinear dynamical systems, quantum mathematics, and differential geometric methods. His work in dynamical systems theory explores the mathematical properties and integrability of complex systems, particularly through functional-operator methods. He also investigates the role of algebraic structures in mathematical physics, with particular interest in Lie groups and algebras. His exploration of quantum mathematics in computer science has led to contributions in the areas of quantum deformations, statistical physics, and integrable Hamiltonian systems. Prof. Prykarpatsky’s research also extends into applied mathematics, including operator theory, ergodic theory, and mathematical analysis. His approach combines rigorous mathematical frameworks with practical applications, making significant strides in understanding the behavior of physical systems. His recent work has explored the supersymmetry of integrable systems, conformal Lie superalgebras, and related quantum mechanical structures.

Publications Titles with Emojis:

  1. On Superization of Nonlinear Integrable Dynamical Systems 📊🔬
  2. Some Remarks on the Inverse Problem in the Variational Calculus 🧩📐
  3. On Superization of Nonlinear Integrable Dynamical Systems (Preprint) 🔄💡
  4. Supersymmetric Integrable Hamiltonian Systems and Their Factorized Semi-Supersymmetric Generalizations 🌀🔒
  5. On Some Aspects of the Courant-Type Algebroids and Integrable Systems ⚙️📚
  6. On the Quantum Deformations of Associative Sato Grassmannian Algebras 🧪🧬
  7. Раціональна факторизація гамільтонових потоків 🔬🌐
  8. Symplectic Geometry Aspects of the Kardar–Parisi–Zhang Equation 🏛️🌪️
  9. Special Issue Editorial “Symmetry of Hamiltonian Systems” 📘📈
  10. Dark Type Dynamical Systems: The Integrability Algorithm 🌑🧮
  11. Quantum Current Algebra in Action 🔮⚡
  12. Entropy and Ergodicity of Boole-Type Transformations 🔄📉
  13. On the Finite Dimensionality of Closed Subspaces 🔢📐
  14. On the Bogolubov’s Chain of Kinetic Equations 🔗📉
  15. Quantum Current Algebra Symmetry and Description of Kinetic Equations 🧬💥

Abdulkafi Mohammed Saeed | Mathematics | Best Researcher Award

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Prof. Dr. Abdulkafi Mohammed Saeed | Mathematics | Best Researcher Award

Director of the Postgraduate Program in the Mathematics Department at Qassim University, Qassim University, Saudi Arabia

Prof. Dr. Abdulkafi Mohammed Saeed is a highly experienced professor of Applied Mathematics at Qassim University, Saudi Arabia, with a research focus on Numerical Partial Differential Equations, Fluid Dynamics, and Fractional Calculus. He earned his Ph.D. in Applied Mathematics from Universiti Sains Malaysia and has over 15 years of teaching experience. Prof. Saeed has published more than 130 papers in leading international journals, contributed to various research conferences, and collaborated extensively with global researchers. Additionally, he has expertise in academic quality management and accreditation, having been involved in the quality assurance processes of several mathematics programs. Prof. Saeed also offers his services as a reviewer for numerous reputable journals, making significant contributions to the academic community. He is proficient in multiple languages and programming tools, including MATLAB and C++.

Profile

Education

Prof. Dr. Abdulkafi Mohammed Saeed holds a Ph.D. in Applied Mathematics from Universiti Sains Malaysia (2011), focusing on Partial Differential Equations. He completed his Master’s degree in Applied Mathematics from Hyderabad Central University in India (2005) and obtained his Bachelor’s degree in Mathematics, Physics, and Computer Science from Hodeidah University, Yemen (1998). His educational background laid the foundation for his expertise in applied mathematics, particularly in differential equations, fluid dynamics, numerical analysis, and computational methods. Prof. Saeed’s academic journey also includes significant post-doctoral work at the University of Sciences Malaysia, further enhancing his research capabilities. He has continued to develop his academic career through his teaching roles and extensive research contributions in the field.

Experience

Prof. Dr. Abdulkafi Mohammed Saeed has over 15 years of experience in academia, particularly in teaching and research in Applied Mathematics. He has taught a wide range of undergraduate and postgraduate courses in differential equations, numerical analysis, fluid dynamics, and computational mathematics at Qassim University, Saudi Arabia. In addition to his teaching role, he holds several leadership positions, such as Head of Quality Assurance at Qassim University’s Department of Mathematics. He has also served as a consultant for the university’s quality unit and been involved in program development, ensuring academic excellence in mathematics education. Prof. Saeed has been a reviewer for numerous prestigious journals and a member of editorial boards. His post-doctoral research at Universiti Sains Malaysia and his early academic career in Yemen also contribute to his broad and diverse experience in the field.

Awards and Honors

Prof. Dr. Abdulkafi Mohammed Saeed has received numerous awards and recognitions for his academic contributions. He was awarded scholarships by the Government of Yemen for his Master’s and Ph.D. studies at Hodeidah University and Universiti Sains Malaysia. Prof. Saeed’s research excellence earned him the “Hadiah Sanggar Sanjung” award in 2011 and 2012 for publishing impactful articles in ISI journals. He also won the third prize in the 1st Postgraduate Quran Recitation Competition at Universiti Sains Malaysia in 2010. These honors reflect his exceptional academic achievements and contributions to the field of applied mathematics. Additionally, Prof. Saeed’s work has been recognized by multiple academic organizations, contributing to his reputation as a leader in the mathematics community.

Research Focus

Prof. Dr. Abdulkafi Mohammed Saeed’s research primarily focuses on Applied Mathematics, with a particular emphasis on Partial Differential Equations (PDEs), Fluid Dynamics, and Fractional Calculus. His work spans numerical modeling, applied and computational mathematics, and the use of functional analysis to solve complex mathematical problems. Prof. Saeed has made significant contributions to the understanding of fluid flow, thermoelasticity, and mathematical computing. His research also includes investigating fractional PDEs and their real-world applications. He has published over 130 papers in international journals and has collaborated with numerous global researchers. Prof. Saeed’s interest in mathematical modeling and numerical methods has driven advancements in computational techniques, particularly in areas related to fluid dynamics and thermoelasticity. He continues to explore new mathematical approaches and models to address complex phenomena in science and engineering.

Publications (Single-line format with emojis):

  1. “Analysis of the Thomson and Troian velocity slip for the flow of ternary nanofluid past a stretching sheet” 🧑‍🔬📑
  2. “Thermophoretic particle deposition effect on a squeezed flow of radiative Jeffrey fluid past a sensor surface with uniform heat source/sink and chemical reaction” 🔬💧
  3. “The series solutions of fractional foam drainage and fractional modified regularized long wave problems” 📚🌊
  4. “A new solution of the nonlinear fractional logistic differential equations utilizing efficient techniques” 🔢📈
  5. “Bioconvective Hybrid Flow with Microorganisms Migration and Buongiorno’s Model under Convective Condition” 🌱💨
  6. “Significance of Hall current and Ion slip in a three-dimensional Maxwell nanofluid flow over rotating disk with variable characteristics and gyrotactic microorganisms” 🔄💡
  7. “Comparative study of hybrid nanofluid flows over a bidirectional stretched surface with the impact of Hall current and ion slip” 🔬⚡
  8. “Model-based comparison of hybrid nanofluid Darcy-Forchheimer flow subject to quadratic convection and frictional heating with multiple slip conditions” 🖥️🌡️
  9. “Wall jet nanofluid flow with thermal energy and radiation in the presence of power-law” 💨☀️
  10. “Buckling and dynamic behavior of uniform and tapered woven carbon/jute fiber reinforced polyester hybrid composite beams” 🌍🔧

 

Sonia Akram | Applied Mathematics | Best Researcher Award

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Ms. Sonia Akram | Applied Mathematics | Best Researcher Award

Researcher at University of Gujrat, Pakistan

Sonia Akram, born on February 4, 1998, in Gujrat, Pakistan, is a dedicated researcher in the field of Applied Mathematics, specializing in Soliton Theory. She completed her M.Phil from the University of Gujrat in August 2023, achieving a perfect CGPA of 4.00. With a remarkable portfolio of 20 published research articles, Sonia’s work is recognized in reputable peer-reviewed journals. Passionate about advancing mathematical physics, she aims to incorporate artificial intelligence into her future research. Sonia actively participates in conferences to share her insights and collaborate with fellow researchers. Her academic journey reflects her commitment to contributing to the advancement of knowledge in her field.

Profile:

Scopus Profile

Strengths for the Award:

  1. Strong Academic Background:
    • Sonia holds an M.Phil in Applied Mathematics with a perfect CGPA, showcasing her academic excellence.
    • Her thesis focuses on a relevant and advanced topic in mathematical physics, indicating a deep understanding of her field.
  2. Significant Research Output:
    • She has published 20 research articles in reputable peer-reviewed journals, highlighting her productivity and commitment to research.
    • Her recent work involves complex analyses such as Lie Symmetry, Bifurcation, Chaos, and Sensitivity Analysis, demonstrating her versatility and depth of knowledge.
  3. Innovative Research Interests:
    • Sonia’s plan to integrate Neural Network modeling into her research indicates a forward-thinking approach, bridging traditional mathematics with modern artificial intelligence.
  4. Recognition and Awards:
    • She has received a gold medal for her performance in her Master’s program and has been recognized with a merit-based laptop from the Prime Minister of Pakistan, showcasing her achievements.
  5. International Engagement:
    • Participation in international conferences indicates her willingness to engage with the global research community and stay updated with current trends.

Areas for Improvement:

  1. Networking and Collaboration:
    • While she has published multiple articles, fostering collaborations with researchers from different fields could further enhance her research profile and introduce her to new methodologies.
  2. Broader Impact:
    • Emphasizing the practical applications of her research in real-world scenarios could strengthen her research narrative and appeal to a wider audience.
  3. Public Outreach:
    • Engaging in community outreach or educational initiatives to promote mathematics and its applications could enhance her visibility and demonstrate her commitment to the field beyond academia.
  4. Diversity of Research Topics:
    • While her current focus is impressive, diversifying her research topics could open new avenues and strengthen her overall impact in the field.

Education:

Sonia Akram holds an M.Phil in Applied Mathematics from the University of Gujrat, where she graduated with a perfect CGPA of 4.00 in August 2023. Her thesis focused on the “Wave Structure of Some Nonlinear Dynamical Models Arise in Mathematical Physics,” demonstrating her expertise in advanced mathematical concepts. Prior to her M.Phil, she earned a Master’s degree in Mathematics from the same institution (2018-2021) and a Bachelor’s degree in Science (2016-2018), laying a solid foundation in mathematics and statistics. Sonia’s academic training encompasses various areas of natural sciences, enhancing her analytical and problem-solving skills. Her educational achievements underscore her commitment to excellence and her potential to contribute significantly to the field of applied mathematics.

Experience:

Sonia Akram has gained valuable experience in research and academia through her extensive work in Applied Mathematics. During her M.Phil studies, she focused on soliton and lump solutions of nonlinear dynamical models, contributing to her field with 20 research publications. Her collaboration with prominent researchers has enabled her to engage in significant studies, including modulation instability analysis and bifurcation analysis. In addition to her research, Sonia has attended several academic conferences, such as the “1st International Alumni’s Mathematics UET Conference” in February 2022, where she presented her findings and networked with fellow researchers. This experience has allowed her to refine her communication skills and enhance her professional network. Sonia’s commitment to advancing mathematical research positions her as an emerging expert in her field.

Awards and Honors:

Sonia Akram has received several prestigious awards recognizing her academic excellence and research contributions. She was honored as a gold medalist during her Master’s program in Mathematics at the University of Gujrat, highlighting her exceptional academic performance. Additionally, she was awarded a merit-based laptop from the Prime Minister of Pakistan, which underscores her dedication and hard work in the field of mathematics. These accolades not only reflect Sonia’s academic achievements but also serve as motivation for her continued pursuit of knowledge and research excellence. Her accomplishments position her as a strong candidate for further awards and recognition in her academic and research endeavors, inspiring future generations of mathematicians.

Research Focus:

Sonia Akram’s research focuses on soliton theory and nonlinear dynamical models in both classical and fractional forms. She employs linear stability theory to analyze modulation instability and has published 20 articles in reputable peer-reviewed journals. Her work explores advanced topics such as Lie Symmetry Analysis, Bifurcation Analysis, and Chaos Theory, showcasing her versatility in applied mathematics. Recently, she has extended her research to include sensitivity analysis of various nonlinear models, further enhancing the depth of her studies. Sonia is also planning to integrate neural network modeling in artificial intelligence into her future research, bridging the gap between traditional mathematics and modern computational methods. Her commitment to advancing knowledge in applied mathematics reflects her passion for solving complex problems and contributing to the scientific community.

Publications Top Notes:

  1. Soliton solutions for some higher order nonlinear problems of mathematical engineering, Nonlinear Engineering. Modeling and Application (2023).
  2. Soliton solutions and sensitive analysis to nonlinear wave model arising in optics, Physica Scripta, 2024.
  3. Propagation of solitary wave solutions to (4+1)-dimensional Davey–Stewartson–Kadomtsev–Petviashvili equation arise in mathematical physics and stability analysis, 2024.
  4. Stability analysis and solitonic behaviour of Schrödinger’s nonlinear (2+1) complex conformable time fractional model, Optical and Quantum Electronics, 2024.
  5. Dispersive optical soliton solutions to the truncated time M-fractional paraxial wave equation with its stability analysis, 2024.
  6. Dynamical behaviors of analytical and localized solutions to the generalized Bogoyavlvensky–Konopelchenko equation arising in mathematical physics, 2024.
  7. Stochastic wave solutions of fractional Radhakrishnan–Kundu–Lakshmanan equation arising in optical fibers with their sensitivity analysis, 2024.
  8. Analysis of bifurcation, chaotic structures, lump and M − W-shape soliton solutions to (2 + 1) complex modified Korteweg-de-Vries system, 2024.
  9. Retrieval of diverse soliton, lump solutions to a dynamical system of the nonlinear Biswas–Milovic equation and stability analysis, 2024.
  10. Stability analysis and soliton solutions of truncated M-fractional Heisenberg ferromagnetic spin chain model via two analytical methods, 2024.
  11. Analysis of new soliton type solutions to generalized extended (2 + 1)-dimensional Kadomtsev-Petviashvili equation via two techniques, 2024.

Conclusion:

Sonia Akram is a promising researcher with a solid foundation in applied mathematics and a notable publication record. Her innovative approach to integrating AI into her research, coupled with her academic achievements, positions her as a strong candidate for the Best Researcher Award. By addressing some areas for improvement, particularly in networking and broader impact, she can further elevate her research profile and contribution to the field. Recognizing her efforts with this award would not only honor her achievements but also encourage her continued growth and innovation in mathematical research.

Qi Liang | Pattern Recognition | Excellence in Research

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Mr Qi Liang | Pattern Recognition | Excellence in Research

Master in Tongji University at China

Qi Liang is a dedicated researcher and master’s student at Tongji University, PR China, specializing in mechanical engineering. With a strong foundation in industrial engineering from Jiangsu University of Science and Technology, Qi has a keen interest in advancing technology through innovative research. Recognized for introducing self-supervised learning methods in semiconductor applications, Qi’s work aims to solve complex challenges in pattern recognition. Their publication in Engineering Applications of Artificial Intelligence reflects a commitment to high-impact research. With multiple ongoing projects and a focus on practical applications, Qi is paving the way for efficient solutions in the semiconductor industry.

Profile

Google Scholar

Strengths for the Award

  1. Innovative Research: Qi Liang has introduced a self-supervised learning method for few-shot learning in semiconductor applications, demonstrating originality and a significant contribution to the field.
  2. Publication Record: The recent publication in Engineering Applications of Artificial Intelligence showcases a commitment to high-quality research, adding to the credibility of the work.
  3. Diverse Research Interests: With a focus on computer vision, multi-modal learning, and fault diagnosis, Qi’s work spans multiple cutting-edge areas, which increases the potential impact of the research.
  4. Practical Applications: The research addresses real-world challenges in the semiconductor industry, offering low-cost, efficient methods that have immediate applicability.
  5. Academic Engagement: Qi’s active involvement in ongoing projects and industry collaborations indicates a robust engagement with both academic and practical aspects of research.

Areas for Improvement

  1. Broader Collaboration: Expanding collaborations with international researchers could enhance the research’s visibility and applicability on a global scale.
  2. Increased Publication Volume: While the current publication is commendable, a more extensive publication record could further establish Qi’s expertise and leadership in the field.
  3. Outreach and Communication: Engaging in more outreach activities, such as conferences and seminars, could help disseminate findings and foster connections within the research community.

Education 

Qi Liang graduated with a Bachelor’s degree in Industrial Engineering from Jiangsu University of Science and Technology, where foundational principles of engineering and technology were mastered. Currently, Qi is pursuing a Master’s degree in Mechanical Engineering at Tongji University, one of China’s prestigious institutions, now in their third year of the program. This advanced education has allowed Qi to engage deeply with cutting-edge topics, particularly in computer vision and machine learning. Through rigorous coursework and research, Qi has developed expertise in areas such as pattern recognition, self-supervised learning, and fault diagnosis, equipping them with the skills necessary to tackle complex engineering problems and contribute significantly to both academic and industrial advancements.

Experience

Qi Liang has gained substantial experience through multiple research projects, totaling five completed or ongoing initiatives that emphasize practical applications of machine learning in semiconductor manufacturing. In addition to academic research, Qi has participated in three consultancy and industry-sponsored projects, bridging the gap between theoretical knowledge and real-world applications. Their collaborative efforts in research have led to valuable partnerships and a broader understanding of the industry’s challenges and needs. As the first to implement self-supervised learning techniques in few-shot learning tasks related to wafer map pattern recognition, Qi has showcased exceptional innovation. This unique approach has opened new avenues for cost-effective and efficient solutions within the semiconductor sector, positioning Qi as an emerging leader in their field.

Research Focus 

Qi Liang’s research focuses on the intersection of computer vision and machine learning, with a strong emphasis on pattern recognition, keypoint detection, and image retrieval. Specializing in self-supervised and multi-modal learning, Qi aims to develop innovative methodologies that minimize the reliance on labeled data while maximizing efficiency and applicability in industrial contexts. Current research projects explore dynamic adaptation mechanisms for few-shot learning, specifically tailored for wafer map pattern recognition in the semiconductor industry. Qi is also interested in signal processing and fault diagnosis, seeking to improve reliability and performance in manufacturing processes. This research direction not only contributes to the academic community but also addresses pressing industry challenges, promoting advancements in automation and smart manufacturing.

Publication Top Notes

  • Masked Autoencoder with Dynamic Multi-Loss Adaptation Mechanism for Few Shot Wafer Map Pattern Recognition 📄

Conclusion

Qi Liang’s innovative contributions to the field of mechanical engineering and computer vision make a strong case for the Excellence in Research award. The unique approach to self-supervised learning in few-shot learning for wafer map pattern recognition signifies both a breakthrough in methodology and practical application in the semiconductor industry. With a few strategic improvements, Qi has the potential to further amplify the impact of their research and cement their status as a leading researcher in their field.

Jefte Ceballos Zumaya | Biosensores SPR | Young Scientist Award

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Dr Jefte Ceballos Zumaya | Biosensores SPR | Young Scientist Award

Dr Jefte Ceballos Zumaya , Universidad Autónoma de Zacatecas , Mexico

Jefté Ceballos Zumaya is a dedicated PhD student in Science and Technology of Light and Matter at the Universidad Autónoma de Zacatecas (UAZ), Mexico. Born on January 17, 1992, he has demonstrated a strong commitment to education and research. He holds a Master’s degree in Engineering Sciences (2020) and a Bachelor’s in Communications and Electronics (2018), both from UAZ. Jefté has experience teaching subjects such as statistics, probability, integral calculus, physics, and mathematics at secondary and high school levels. His research interests lie in biosensors, specifically optical biosensors utilizing surface plasmon resonance, photonic crystals, and 2D materials. Jefté has actively participated in national and international conferences and has published his research in high-impact journals, showcasing his contributions to the field of photonics and materials science.

Publication Profile

Orcid

Strengths for the Award

  1. Research Focus and Impact: Jefté has made significant contributions to the field of biosensors, specifically in the development and optimization of SPR optical biosensors. His research on the interaction of graphene’s chemical potential with 2D materials demonstrates both innovation and relevance in addressing critical challenges in biosensor sensitivity and performance.
  2. Publication Record: With a publication in a high-impact journal, Jefté has established credibility in his research area. This highlights his ability to conduct rigorous scientific work that is recognized by the academic community.
  3. Diverse Teaching Experience: His experience in teaching various subjects at different educational levels showcases his communication skills and dedication to education. This versatility enhances his profile as a young scientist committed to knowledge dissemination.
  4. Active Participation in Conferences: Jefté’s involvement in multiple international, national, and state congresses indicates his active engagement with the scientific community and a commitment to sharing his findings.

Areas for Improvement

  1. Broader Collaborations: While Jefté has made substantial individual contributions, seeking collaborations with other researchers or institutions could enhance the scope and impact of his work. Collaborative projects often lead to more diverse perspectives and innovative approaches.
  2. Enhanced Visibility: Increasing his presence in academic networks, such as joining professional societies or engaging in online platforms for researchers, could amplify his work’s visibility and open new opportunities for collaboration and funding.
  3. Broader Research Applications: Exploring the application of his biosensor research in various fields, such as environmental monitoring or medical diagnostics, could broaden the impact and relevance of his findings.

Education 

Jefté Ceballos Zumaya completed his Bachelor’s degree in Communications and Electronics at the Universidad Autónoma de Zacatecas (UAZ) in 2018. His academic journey continued with a Master’s degree in Engineering Sciences from UAZ in 2020, where he honed his skills in applied sciences and engineering principles. Currently, Jefté is pursuing a PhD in Science and Technology of Light and Matter at UAZ, focusing on the development of innovative optical biosensors. His education has provided him with a solid foundation in both theoretical knowledge and practical applications, enabling him to explore complex interdisciplinary topics such as surface plasmon resonance, photonic crystals, and 2D materials. Through his studies, he has cultivated a strong analytical mindset and a passion for advancing research in optics and materials science, preparing him to contribute significantly to the field.

Experience 

Jefté Ceballos Zumaya has amassed valuable teaching experience at both secondary and high school levels, instructing courses in statistics, probability, integral calculus, physics, and mathematics. This experience has not only enriched his pedagogical skills but also deepened his understanding of complex scientific concepts, allowing him to communicate effectively with diverse student populations. In addition to teaching, Jefté has actively engaged in research, focusing on the development of biosensors, particularly optical biosensors that utilize surface plasmon resonance and 2D materials. His participation in various national and international congresses has enabled him to present his findings and collaborate with other researchers in the field. Jefté has also contributed to high-impact journals, underscoring his dedication to advancing scientific knowledge and his capability to work on interdisciplinary projects, bridging the gap between theoretical research and practical applications.

Research Focus 

Jefté Ceballos Zumaya’s research focuses on the development and enhancement of optical biosensors, specifically those utilizing surface plasmon resonance (SPR) and 2D materials. His work aims to improve the performance parameters of these biosensors, enhancing sensitivity, detection accuracy, and overall quality factors. By integrating various metals, such as silver and gold, with advanced 2D materials in the biosensor structures, Jefté explores innovative methods to optimize sensor capabilities. His significant findings have contributed to the understanding of the influence of graphene’s chemical potential on the performance of SPR biosensors. Currently, he is investigating bimetallic structures combined with 2D materials to further enhance biosensor functionalities. Jefté’s interdisciplinary approach combines principles from solid-state physics, material science, and engineering, positioning him at the forefront of research in photonics and biosensor technology.

Publications Top Notes

  1. Performance parameters as a function of graphene’s chemical potential for SPR biosensor based on 2D materials 📄
  2. Influence of Chemical Potential of Graphene in Optical SPR Biosensors with 2D Materials Nanostructures 📊
  3. Sensitivity Enhancement in an Optical Biosensor via Multilayer Graphene Structure 📈
  4. Enhancement of parameters performance of an SPR optical biosensor based on bimetal – 2D materials structures 🔬
  5. Biosensores Ópticos SPR con Materiales 2D 🔍

Conclusion

Jefté Ceballos Zumaya is a promising candidate for the Young Scientist Award. His innovative research on SPR biosensors, combined with a strong publication record and teaching experience, positions him as a rising star in his field. By addressing the areas for improvement, he can enhance his contributions further and continue to make significant advancements in biosensor technology. Recognizing his efforts with this award would not only honor his achievements but also encourage his future research endeavors.

 

 

Ewa Chomać-Pierzecka | Social Sciences Award | Women Researcher Award Poland

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Prof Dr Ewa Chomać-Pierzecka |  Energy Award | Women Researcher Award

Prof Dr Ewa Chomać-Pierzecka, Academy Jacob of Paradies Gorzów Wlkp. Poland, Poland

Professor Ewa Chomać-Pierzecka, DSc, was born on October 20, 1973, and is a distinguished economist at the Jacob of Paradies Academy in Gorzów Wielkopolski, Poland 🌍. She specializes in economics and business within the social sciences field. Her research delves into the impact of management instruments on enterprise value creation, competitiveness, and innovation 🏢💡. Prof. Chomać-Pierzecka also explores modern business models and the risk of bankruptcy, energy sector issues, and investment challenges 🔍📈. Her contributions to academia are accessible via ORCID, ResearchGate, and SciProfiles 📚.

 

Publication Profile

Orcid

 

Research Focus

Professor Ewa Chomać-Pierzecka’s research is centered on economics and business within the social sciences 🌍. She investigates the measurement of management instruments’ impact on enterprise value creation and competitiveness 🏢💼. Her work includes analyzing investment challenges, the effects of current economic conditions on entrepreneurship, and the role of innovation in enterprise performance 💡📈. Additionally, Prof. Chomać-Pierzecka evaluates modern business models and assesses the risk of bankruptcy in contemporary enterprises, along with exploring energy sector issues ⚡📉. Her comprehensive research aims to enhance understanding and improve practices in these crucial economic areas.

Publication Top Notes

📘 “Domestic Tourism Preferences of Polish Tourist Services’ Market in Light of Contemporary Socio-economic Challenges” (2024) – Cited by 0

📰 “Challenges and Opportunities for the Development of Polish Enterprises in the Face of Crisis Threats” (2024) – Cited by 0

🏭 “Offshore Energy Development in Poland—Social and Economic Dimensions” (2024) – Cited by 0

📗 “Modele biznesowe w kształtowaniu wyników na działalności” (2023) – Cited by 0

💻 “PRACTICAL ASPECTS OF E-COMMERCE ON THE PHARMACY MARKET” (2023) – Cited by 0

📖 “The labour market in Poland and its impact on the economy in terms of COVID-19 and the war in Ukraine” (2023) – Cited by 0

📑 “ZARZĄDZANIE PRZEZ PRACĘ JAKO CZYNNIK MOTYWUJĄCY W ZAKŁADACH PENITENCJARNYCH” (2023) – Cited by 0

📃 “ZARZĄDZANIE RELACJAMI W SŁUŻBIE PENITENCJARNEJ I ICH WPŁYW NA RESOCJALIZACJE OSADZONYCH W ZAKŁADZIE KARNYM” (2023) – Cited by 0

🌿 “Energy Innovation for Individual Consumers in Poland—Analysis of Potential and Evaluation of Practical Applications in Selected Areas” (2023) – Cited by 0

🌍 “Pharmaceutical Companies in the Light of the Idea of Sustainable Development—An Analysis of Selected Aspects of Sustainable Management” (2023) – Cited by 0