Mr Muhammad Qaiser Shafi, FAST National University of Computer & Emerging Sciences, Islamabad, Pakistan, Pakistan

Mr. Muhammad Qaiser Shafi is a dedicated academic and HR professional, currently serving as a Lecturer at FAST School of Management, FAST-NUCES, Islamabad, Pakistan. He is pursuing a PhD in Human Resource Management (HR/People Analytics) from COMSATS University Islamabad. With over 9 years of extensive experience in both academia and the corporate sector, Mr. Shafi has significantly contributed to the fields of HRM, leadership, green HRM, and employee behavior. He has published 20 research papers in top-tier journals and has presented at numerous local and international conferences. A versatile trainer and mentor, he has conducted workshops on HR Analytics, AI Tools for Literature, and data analysis software, demonstrating a deep commitment to education and research. His profound expertise and continuous academic excellence make him a distinguished candidate for the Best Researcher Award.

Publication Profile

Google Scholar

Education

Mr. Muhammad Qaiser Shafi’s academic journey reflects excellence and dedication. He is currently enrolled in a PhD program specializing in Human Resource Management (HR/People Analytics) at COMSATS University Islamabad, having completed his coursework with a CGPA of 3.6 and progressing towards his thesis. He earned his MS in HRM from Quaid-i-Azam University Islamabad, graduating with an impressive CGPA of 4.4. His undergraduate education, a BBA Hons (HRM) also from Quaid-i-Azam University, was completed with a CGPA of 3.7. Before his university education, he secured top grades during his Intermediate (I.Com) from Punjab College of Information Technology and Matriculation in Computer Science, securing A+ distinctions. His educational background forms a solid foundation for his academic and research achievements, reflecting a consistent pursuit of knowledge and skill enhancement.

Experience

Mr. Muhammad Qaiser Shafi brings over 9 years of diversified experience across academia and the corporate world. He is currently a Lecturer at FAST School of Management, FAST-NUCES, Islamabad, where he teaches HRM, Strategic Management, and Advanced Research Methods, while also mentoring students and supervising research projects. Prior to this, he served at Riphah International University as a Senior Lecturer and PhD Focal Person, leading academic discussions, coordinating PhD programs, and implementing research initiatives. His corporate experience includes working as an HR Officer at the National Logistics Cell (NLC) and an HR Trainee at Oil & Gas Development Company Limited (OGDCL), where he developed expertise in training, recruitment, data analysis, and HR operations. His rich blend of teaching, research, and corporate HR experience uniquely positions him as a dynamic academic and HR professional.

Awards and Honors

Mr. Muhammad Qaiser Shafi has received several accolades that underscore his excellence and dedication. He was awarded “Best Employee/Faculty Member” for two consecutive years (2020-2021 and 2021-2022). He secured an international research grant worth USD 3000 from the International Institute of Islamic Thought (IIIT), USA. His scholarly contributions are recognized through certifications for presenting papers at prestigious conferences hosted by LUMS, NUST, UMT, Riphah University, and JWU. Mr. Shafi is also a certified HR Analytics professional from the University of California, Irvine (via Coursera) and serves as a reviewer for notable journals like the Journal of Organizational Effectiveness: People and Performance and Journal of Islamic Business and Management. These honors reflect his commitment to research excellence and continuous professional development.

Research Focus

Mr. Muhammad Qaiser Shafi’s research interests lie primarily in Human Resource Analytics, Green HRM, leadership behaviors, employee personality traits, and organizational citizenship behavior. He explores contemporary themes such as the impact of inclusive leadership on project success, linking HR practices with sustainable employee behavior, and the mediating roles of employee engagement and project citizenship behavior. His work often combines behavioral theories with statistical analysis tools like SmartPLS and SPSS, offering actionable insights for academia and industry. His focus on People Analytics represents a modern, data-driven approach to HRM research, while his publications on topics like project management and green behavior address current global business challenges. Mr. Shafi’s research blends theoretical depth with practical relevance, aiming to enhance both organizational performance and employee well-being.

Publication Top Notes

1. From Inclusion to Action: Does Project Manager’s Inclusive Leadership Drive Team Member’s Project Citizenship Behavior? — International Journal of Project Management (IF 7.4, 2025)
2. Predicting Required and Voluntary Employee Green Behavior Using the Theory of Planned Behavior — Corporate Social Responsibility and Environmental Management (IF 8.7, 2022)
3. The Mediating Role of Project Citizenship Behavior in the Relationship Between Organizational Justice Dimensions and Project Success — Project Management Journal (IF 4.9, 2021)
4. Job Crafting and Innovative Behaviour: Examining Mediation and Moderation Mechanism — International Journal of Technological Learning, Innovation and Development (X category, 2021)

Conclusion

Given Mr. Muhammad Qaiser Shafi’s outstanding academic background, diverse professional experience, impressive research portfolio, and numerous accolades, he is exceptionally well-suited for the Best Researcher Award. His continuous contributions to the academic community through impactful research, mentoring, training, and active participation in conferences and journal reviews demonstrate his unwavering commitment to advancing knowledge and practice in Human Resource Management. His blend of practical HR experience and high-impact research sets him apart as a leading academician and makes him a deserving candidate for this prestigious honor.

Pengrui Yu | Quantitative Hypotheses | Research Hypothesis Excellence Award

Posted on 15/04/202516/04/2025 by ScienceFather

Pengrui Yu | Quantitative Hypotheses | Research Hypothesis Excellence Award

Mr Pengrui Yu, shanghai university of fianance and economics, China

Pengrui Yu is a dynamic researcher in the field of Financial Information and Engineering, currently pursuing his Ph.D. at Shanghai University of Finance and Economics 🎓💹. With a strong foundation in management science, statistics, machine learning, and financial optimization, his work integrates cutting-edge technologies with deep financial theory 🤖📊. His research focuses on developing intelligent systems for portfolio management using deep reinforcement learning and spectral analysis, showcasing a commitment to innovation and practical impact 💼💡. Mr. Yu’s rigorous academic background, combined with an impressive publication track record, makes him a standout candidate for the Best Researcher Award 🏅✨. His continuous contributions to financial AI, game theory applications, and stochastic modeling demonstrate not only academic brilliance but also a drive to solve real-world economic challenges 🌍🔍. He is poised to become a future leader in financial analytics and intelligent decision-making systems 🔬📈.

Publication Profile

Scopus

Education

He is a Ph.D. candidate in Financial Information and Engineering (2021–present) at the Shanghai University of Finance and Economics, where he explores the intersection of finance, data science, and artificial intelligence. His coursework spans Advanced Operations Research, Optimization Theory, Deep Learning, Game Theory, and Advanced Econometrics, equipping him with rigorous analytical and computational tools 📚🧠. He previously earned his Master’s degree (2019–2021) from the same institution, focusing on Stochastic Analysis, Financial Engineering, and Machine Learning 📈🧮. His academic journey began with a Bachelor’s in Management Science and Engineering (2015–2019), where he built a strong foundation in programming, databases, and statistics 💻📐. Across all levels of study, he has consistently integrated technical and financial knowledge, developing a robust interdisciplinary profile ideal for tackling complex challenges in financial modeling and AI-driven solutions 📊🤓. His evolving expertise positions him at the cutting edge of innovation in modern financial systems.

Experience

Pengrui Yu has been deeply engaged in academic research since his undergraduate years, progressing into advanced interdisciplinary roles during his Master’s and Ph.D. studies 🎓💼. As a doctoral candidate, he actively contributes to high-level research projects at the intersection of AI, finance, and decision sciences 🤖📉. His work encompasses portfolio optimization via deep learning, reinforcement learning frameworks, and stochastic modeling. Beyond academia, he collaborates on real-world financial engineering problems and data-driven algorithm development for asset management 🧾📊. Mr. Yu actively participates in academic workshops, conferences, and peer-reviewed publishing, presenting novel methodologies and contributing to the advancement of quantitative finance 📑🌐. His technical expertise includes Python, R, MATLAB, and various financial data analytics platforms, showcasing both theoretical insight and hands-on proficiency. Through these multifaceted engagements, Pengrui Yu has demonstrated a strong ability to tackle complex, real-world data challenges with innovative algorithmic solutions that bridge academic research and practical finance 🌍🔬.

Awards and Honors

Pengrui Yu’s academic excellence shines through his impactful contributions to financial artificial intelligence, even in the absence of a detailed list of awards. 🏅 He is the author of a high-impact publication on deep reinforcement learning for equity portfolio management, reflecting his top-tier research capabilities. 📚 His graduate journey is marked by distinction in challenging coursework, including optimization, stochastic processes, and deep learning. 💡 Notably, Yu has pioneered models that fuse spectral methods with deep learning, advancing the field of financial engineering. 🎖️ His consistent academic performance across Bachelor’s, Master’s, and Ph.D. levels suggests he is a strong contender for competitive scholarships. 📢 Moreover, his active participation in academic conferences showcases recognition from the research community. Overall, Yu embodies a rare blend of innovation, technical depth, and scholarly commitment. His profile strongly aligns with the standards of a Best Researcher Award nominee, making him a standout candidate in any academic or professional setting.

Research Focus

Pengrui Yu’s research stands at the forefront of Financial Engineering, Artificial Intelligence, and Optimization 💹🤖. He specializes in designing intelligent decision-making systems for equity portfolio management by integrating deep reinforcement learning with spectral analysis and stochastic optimization 🔁📈. His work emphasizes the real-world application of machine learning to financial markets, enabling adaptive, data-driven strategies that surpass conventional models 📊💡. Delving into complex areas such as game theory, stochastic decision processes, and deep neural networks, he contributes to the development of interpretable and robust financial algorithms. With interdisciplinary expertise, he bridges financial theory and AI-driven implementation, driving innovation in trading strategies and risk assessment 📉⚙️. Pengrui Yu is also dedicated to creating scalable solutions that sustain high performance across diverse market conditions. His cutting-edge research holds significant value for hedge funds, quantitative finance firms, and academic communities focused on computational finance. His contributions push the boundaries of intelligent finance in today’s rapidly evolving digital economy.

Publication Top Notes

Optimization-based spectral end-to-end deep reinforcement learning for equity portfolio management

Edit Kovari | Quantitative Hypotheses | Best Researcher Award

Posted on 14/08/202414/08/2024 by ScienceFather

Edit Kovari | Quantitative Hypotheses | Best Researcher Award

Dr Edit Kovari, University of Pannonia, Hungary

Based on the detailed information provided, Dr. Edit Kővári appears highly suitable for the Best Researcher Award.

Publication profile

google scholar

Extensive Research and Innovation

Dr. Kővári has demonstrated significant research impact through her work on emotional intelligence, communication, FOMO, green attitude, and ecopsychology. Her recent research focuses on cultural attitudes, emotional intelligence, and the local attachment of university communities. Her involvement in high-impact projects such as the Greencool Erasmus+ project and the TINLAB Social Innovation Laboratory highlights her leadership and innovation in research.

Notable Achievements and Awards

She has received multiple awards, including the Attila Sebestyén Memorial Medal for her teaching and learning activities and recognition from the Veszprém European Capital of Culture 2023 campaign. Her role as the Hungarian coordinator of the International Emotional Intelligence Organisation and the development of the Well-being program at Pannon University of Pannonia further underscore her exceptional contributions.

Strong Academic and Professional Background

Dr. Kővári holds a Ph.D. from the University of Derby and has led various national and international research groups. Her publications in reputable journals, such as the European Management Journal and the Journal of Family Business Management, demonstrate her research excellence. Her H-index, citations, and impactful conference presentations add to her credentials.

Active Involvement in Professional Societies

Her active participation in numerous professional societies and academic service roles, such as the General Secretary of the University Network of European Capitals of Culture, reflects her commitment to advancing research and education.

Research Publications and Impact

Dr. Kővári has contributed significantly to research with publications examining social media strategies, online branding, emotional intelligence, and cultural consumption. The cumulative impact factor of her recent publications and the number of collaborative projects further validate her research prowess.

Conclusion

Dr. Edit Kővári’s comprehensive research portfolio, leadership in high-impact projects, notable awards, and active involvement in academic and professional communities position her as a strong candidate for the Best Researcher Award. Her contributions to emotional intelligence, green attitudes, and cultural studies showcase her excellence in research and innovation.

Research focus

The research focus of E. Kővári centers on the intersection of emotional intelligence, social media, and business performance. Their work examines how emotional intelligence influences management practices and knowledge sharing, particularly within procurement and organizational contexts. Kővári also explores the role of social media in shaping consumer behavior and online branding strategies for family businesses, with a focus on the wine industry and SME wineries. Their studies include analyses of online social presence and digital competencies among university students during the COVID-19 pandemic. 📊💡🍷📱

Publication top notes

How social media practices shape family business performance: the wine industry case study

Online branding strategies of family SME wineries: a Hungarian-German comparative study

University students’ online social presence and digital competencies in the COVID-19 virus situation

Emotional intelligence in procurement management

A Pannon Egyetem közösségének kultúrafogyasztása, az érzelmi és kulturális intelligencia összefüggése. Veszprém 2023 Európa Kulturális Fővárosa

Learning to learn: Beyond 2020

Don’t Worry, be Emotionally Intelligent: Hotel Functional Managers’ Trait Emotional Intelligence and its Relation to Task and Contextual Performance within Organisational …

Knowledge sharing relation to competence, emotional intelligence, and social media regarding generations

The impact of emotional intelligence on knowledge sharing behaviour

Közösségi média jelentősége a borfogyasztók körében

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Posted on 13/07/2024 by ScienceFather

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Mr Faroque Ahmed, Ural Federal University, Russia, Russia

Faroque Ahmed is a PhD researcher at Ural Federal University, Russia 🇷🇺, specializing in development studies and financial economics 📊. He holds an M.Sc. and B.Sc. in Statistics from Islamic University, Kushtia-Jhinaidah, where he achieved top positions in his class 🥇. With research interests in quantile-based methods, VARs, data mining, and machine learning 🤖, he has served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM) and as a Research Assistant at the Islamic University, working on credit card fraud detection. Faroque also boasts excellent academic achievements and IELTS proficiency 🏅📚.

Publication profile

Scopus

Education

📚 With a strong academic background, I hold a Master’s in Statistics from Islamic University, Kushtia-Jhinaidah, completed in 2015 with an ‘A’ grade and a CGPA of 3.91, securing first-class first position 🥇. My Bachelor’s in Statistics from the same university, completed in 2014, earned me an ‘A’ grade and a CGPA of 3.84, ranking second in first class 🥈. Prior to this, I excelled in Science, achieving a perfect GPA of 5.00 in both my Higher Secondary (2009) and Secondary (2006) School Certificates at New Govt. Degree College and Masjid Mission Academy, respectively 🌟.

Experience

Since 2022, the user has been a PhD Researcher at the Laboratory of International & Regional Economics (LIRE) at the Graduate School of Economics and Management (GSEM), Ural Federal University, Yekaterinburg, Russia 📚🌍. Concurrently, they have served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM), affiliated with the University of Dhaka, since 2019 🏢🇧🇩. Previously, from 2016 to 2019, they worked as a Research Assistant at the Quantitative Financial Economic Development (QFED) Lab in the Dept. of Statistics at Islamic University, Kushtia, Bangladesh, focusing on credit card fraud detection using machine-learning algorithms under the supervision of Md. Altaf Hossain 💳🤖.

Research Interest

I am passionate about the fields of development studies and financial economics, focusing on advanced methodologies and data analysis. My expertise includes quantile-based methods, various types of VARs, and data mining techniques. I am proficient in leveraging machine learning and big data analysis for robust econometric modeling. Through these skills, I aim to contribute to the understanding and development of economic policies and practices. 📊💡🔍📉💻🔎

Awards

In 2017-18, I was awarded the UGC research grant for my master’s project on the socio-economic effects of remittance on Bangladeshi migrant households. Under the supervision of Md. Altaf Hossain, an Associate Professor at Islamic University, Kushtia, Bangladesh, I conducted extensive research in this area. Additionally, in 2017, I completed Big Data Analytics Training through the LICT project of the ICT Ministry, People’s Republic of Bangladesh. 📚🔍💼 The grant and training significantly enhanced my research capabilities and data analysis skills, contributing to my academic and professional growth. 📈🌏

Research focus

Faheem Ahmed’s research primarily focuses on the intersection of economics, environmental studies, and technological applications. His work includes examining the impact of geopolitical risks on global finance, analyzing the economic growth-environment nexus, and exploring the implications of AI technology on industrial outputs and energy consumption. Additionally, Ahmed delves into health outcomes influenced by governance and education, social distancing behaviors during Covid-19, and predictive modeling for air quality and credit card fraud detection. His interdisciplinary approach combines machine learning with economic and environmental analysis, reflecting a broad interest in sustainable development and risk management. 🌍📊💡🌱📉🔍.

Publication top notes

Robot race in geopolitically risky environment: Exploring the Nexus between AI-powered tech industrial outputs and energy consumption in Singapore

Semi-Supervised Machine Learning Method for Predicting Observed Individual Risk Preference Using Gallup Data

Assessing the impact of Russian–Ukrainian geopolitical risks on global green finance: a quantile dependency analysis

An inquiry into the achievements in health outcomes of Bangladesh: role of health expenditure, income, governance and female education

Integration of theory of planned behavior into actual social distancing behavior amid Covid-19

Economic growth and environmental pollution nexus in Ba

An analysis of energy, environment and economic growth (EEE) nexus: a 2SLS approach

Creative social media use for Covid-19 prevention in Bangladesh: a structural equation modeling approach

A comparative study of credit card fraud detection using the combinati

Predicting air quality of Dhaka and Sylhet divisions in Bangladesh: a time series modeling approach

Surya Chelikani | Quantitative Hypotheses | Best Researcher Award

Posted on 12/06/202412/06/2024 by ScienceFather

Surya Chelikani | Quantitative Hypotheses | Best Researcher Award

Dr Surya Chelikani, Quinnipiac University, United States

Dr. Surya Chelikani is an accomplished educator and researcher in finance, specializing in corporate finance, asset pricing, and market microstructure. With a Ph.D. from Oklahoma State University, he serves as an Associate Professor at Quinnipiac University. His expertise extends to both academic and corporate realms, with prior experience in engineering and consultancy. Dr. Chelikani’s research investigates topics such as market integration and regulatory impacts on financial markets. Recognized for his teaching excellence, he has received prestigious awards and consistently high evaluations. 📚💼🏅

Publication profile

google scholar

Education

After completing a Bachelor’s in Mechanical Engineering from Andhra University (India) in 1981, I pursued an M.B.A in General Management from the University of Central Oklahoma in 2003. Building upon this foundation, I obtained my Ph.D. in Finance from Oklahoma State University in 2010. 🎓 This educational journey reflects a diverse range of interests and expertise, blending technical skills with financial acumen. From engineering principles to the intricacies of financial markets, each step has contributed to a well-rounded perspective and a dedication to continuous learning and growth.

Experience

As an academic, I’ve dedicated years to teaching and shaping minds. Beginning as an Instructor at Oklahoma State University, I’ve covered various financial courses, earning commendable teaching evaluations. My journey progressed to Quinnipiac University, where I advanced from Assistant Professor to Associate Professor, fostering a dynamic learning environment. Alongside academia, I’ve also ventured into the corporate realm. As a partner in multiple enterprises spanning cold welding, systems programming, and consultancy for cement plants, I’ve honed practical insights that complement my academic endeavors. Balancing academia with real-world experience has enriched my professional journey, ensuring a holistic approach to education. 📚💼

Awards

In the realm of academia, achievements often serve as milestones of dedication and excellence. Such is the case for Surya Chelikani, whose academic journey has been adorned with accolades. Notably, clinched the coveted Outstanding Graduate Teaching Associate award in Finance, an honor bestowed upon in both 2006 and 2007—a feat unmatched by any other recipient. Securing a four-year assistantship from the Department of Finance further underscores [his/her/their] commitment and proficiency. [His/Her/Their] consistent presence on the President’s List throughout MBA years reflects [his/her/their] unwavering academic prowess. Membership in esteemed societies like Delta Mu Delta and the Golden Key national honor society epitomizes scholarly excellence and distinction. 🎓

Research focus

S Chelikani’s research primarily focuses on financial economics, particularly in areas related to market efficiency, regulatory impacts, and financial contagion. Chelikani has explored the effects of regulatory changes such as Sarbanes-Oxley and Regulation Fair Disclosure on market integration and efficiency. Additionally, their work delves into the implications of financial crises, such as the 2008 financial crisis, on various financial sectors, including the Turkish financial sector and hedge funds. Their studies often employ quantitative methods like cointegration analysis to examine market dynamics and investor behavior.

🔍📊💹📉📈