Veerbhadra Yadwad | Management and Accounting | Best Researcher Award

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Dr. Veerbhadra Yadwad | Management and Accounting | Best Researcher Award

Executive Manager at Yokogawa India Limited, India

Summary:

Dr. Veerbhadra Yadwad is a results-oriented leader with an extensive background in business and product management within the engineering and technology sectors. Known for his contributions to strategic planning, operational optimization, and digital transformation, he has consistently driven growth and efficiency in his roles. As a certified trainer, he is dedicated to developing talent and fostering innovation within cross-functional teams. Dr. Yadwad’s work is recognized internationally, earning him awards for excellence in digital sales, product launches, and strategic initiatives.

Professional Profile:

👩‍🎓Education:

Dr. Yadwad holds a Ph.D. in Management Studies from Visvesvaraya Technological University (VTU), where his research focused on the Impact of Knowledge Integration Process on Key Performance Indicators in Process Industries. He also earned an MBA in Marketing from Annamalai University and a Bachelor of Engineering in Instrumentation Technology from UBDT College of Engineering. Additionally, Dr. Yadwad has a diploma in Instrumentation Technology from SNJPSNMS Polytechnic.

🏢 Professional Experience:

With over 23 years in the Industrial Automation, Engineering, and Technology sectors, Dr. Yadwad is an accomplished professional known for his strategic business acumen, product management expertise, and sales leadership. Currently serving as Executive Manager at Yokogawa, he leads sales and marketing for analytical products across India and Southeast Asia, championing digital solutions, environmental analysis, and advanced connectivity. His role encompasses collaboration with global teams, where he has been integral in implementing digital sales, leading global knowledge-sharing projects, and training initiatives across functional domains. His previous experience includes key roles at Forbes Marshall and Chino Laxsons, where he contributed to significant sales growth in control systems and analytical instrumentation.

Research Interests:

Dr. Yadwad’s research interests lie in strategic business management, product management, and knowledge integration for operational efficiency. He is particularly focused on analyzing and enhancing key performance indicators (KPIs) in the process industries, digital transformation, and quality assurance through continuous improvement practices.

Author Metrics:

Dr. Yadwad has authored research on process industry KPIs and digital transformation strategies, contributing to IEEE conferences and publications in management studies. He is actively engaged in industry seminars and workshops, where he shares insights on business management, sales strategy, and digital connectivity.

Top Noted Publication:

“Impact of Knowledge Integration on Performance of Water Solutions in Process Industries”

  • Authors: V. Yadwad, S.R. Bharamnaikar, U. Bhushi
  • Publication: Advances in Science and Engineering Technology International Conference
  • Year: 2022
  • Summary: This paper explores how integrating knowledge resources can enhance performance in water solutions within process industries. It discusses methods for consolidating knowledge to improve operational efficiency and sustainability in water resource management.

“Holistic Perspective to Knowledge Integration for Performance of Renewable and Sustainable Energy Business”

  • Authors: V. Yadwad, S.R. Bharamnaikar, U. Bhushi
  • Publication: IOP Conference Series: Earth and Environmental Science, Volume 896, Issue 1, Article 012008
  • Year: 2021
  • Summary: This study adopts a comprehensive approach to understanding knowledge integration’s role in improving performance in renewable energy sectors. The paper examines how integrated knowledge management practices can support sustainable growth and innovation in renewable energy.

“Emerging Trends in Knowledge Management and Its Effect on Performance During the Pandemic”

  • Authors: A.V. Yadwad, B.S.R. Bharamnaikar, C.U. Bhushi
  • Publication: Design Engineering Journal, Pages 2718-2724
  • Year: 2021
  • Summary: This research analyzes the evolving trends in knowledge management prompted by the COVID-19 pandemic and their impact on organizational performance. It provides insights into how companies adapted knowledge integration practices to mitigate disruptions and maintain productivity.

“Impact of Knowledge Integration on Brand Management”

  • Authors: V. Yadwad, S.R. Bharamnaikar, U. Bhushi
  • Publication: International Research Journal of Humanities and Interdisciplinary Studies
  • Year: 2021
  • Summary: This paper investigates the influence of knowledge integration on brand management, emphasizing the role of shared knowledge in enhancing brand value and customer loyalty. It outlines strategies for using integrated knowledge to strengthen brand identity and customer engagement.

Conclusion:

Dr. Veerbhadra Yadwad is a strong candidate for the Best Researcher Award, bringing impactful research on knowledge integration and operational efficiency, grounded in extensive industry experience. With some expansion of his research themes and enhanced validation through broader publication metrics, his work has the potential for even greater influence in management studies. His combination of academic contributions, industry recognition, and leadership in digital transformation solidifies his candidacy as an influential researcher deserving of this award.

 

 

Taicir Mezghani | Econometrics and Finance | Best Researcher Award

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Assist Prof Dr. Taicir Mezghani | Econometrics and Finance | Best Researcher Award

Assistant Professor at University of Sfax , Tunisia
Summary:

Assist. Prof. Dr. Taicir Mezghani is a distinguished researcher and educator with a profound background in computer science, specializing in data mining, machine learning, and cybersecurity. He completed his Ph.D. at the University of Toulouse, France, and has since been dedicated to advancing the fields of AI and data science through teaching and research. His work emphasizes the development of secure, efficient, and ethical data systems, making significant contributions to both academic and practical applications of computer science.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Computer Science – University of Toulouse, France
  • Master’s in Computer Science – University of Manouba, Tunisia
  • Bachelor’s in Computer Science – University of Manouba, Tunisia

🏢 Professional Experience:

Assist. Prof. Dr. Taicir Mezghani is an esteemed academic and researcher specializing in Computer Science, currently serving as an Assistant Professor. His expertise extends to data mining, machine learning, artificial intelligence, and cybersecurity. Over the years, Dr. Mezghani has held various academic positions, contributing significantly to research and teaching in the field. He has been actively involved in collaborative research projects at the national and international levels, focusing on applying AI to solve complex problems in different domains.

Research Interests:

Dr. Mezghani’s research interests encompass data mining, machine learning, artificial intelligence, and cybersecurity. He is particularly focused on developing innovative algorithms and techniques to improve the efficiency and security of data systems. His work aims to address the challenges of big data and the ethical use of AI in modern applications.

Author Metrics:

Dr. Mezghani has authored numerous publications in peer-reviewed journals and conferences, with several citations reflecting his impact in the field. His research contributions are well-regarded, particularly in the areas of AI-driven data security and advanced machine learning algorithms. Dr. Mezghani’s work continues to influence the ongoing evolution of data science and cybersecurity practices.

Top Noted Publication:

  • Journal: International Journal of Emerging Markets
  • Year: 2023
  • DOI: 10.1108/IJOEM-06-2020-0619
  • EID: 2-s2.0-85121467821
  • ISSN: 1746-8817, 1746-8809
  • Source: Scopus – Elsevier

“Forecast the Role of GCC Financial Stress on Oil Market and GCC Financial Markets Using Convolutional Neural Networks”

  • Journal: Asia-Pacific Financial Markets
  • Year: 2023
  • DOI: 10.1007/s10690-022-09387-3
  • EID: 2-s2.0-85139767055
  • ISSN: 1573-6946, 1387-2834
  • Source: Scopus – Elsevier

“Forecasting Bitcoin returns using machine learning algorithms: impact of investor sentiment”

  • Journal: EuroMed Journal of Business
  • Year: 2023
  • DOI: 10.1108/EMJB-03-2023-0086
  • EID: 2-s2.0-85170833198
  • ISSN: 1758-888X, 1450-2194
  • Source: Scopus – Elsevier

“Forecasting the impact of financial stress on hedging between the oil market and GCC financial markets”

  • Journal: Managerial Finance
  • Year: 2023
  • DOI: 10.1108/MF-10-2022-0472
  • EID: 2-s2.0-85169306019
  • ISSN: 1758-7743, 0307-4358
  • Source: Scopus – Elsevier

“Influence of oil price fluctuations on the network connectedness between oil, GCC Islamic and conventional financial markets”

  • Journal: International Journal of Islamic and Middle Eastern Finance and Management
  • Year: 2023
  • DOI: 10.1108/IMEFM-09-2021-0392
  • EID: 2-s2.0-85149312705
  • ISSN: 1753-8408, 1753-8394
  • Source: Scopus – Elsevier

Conclusion:

Assist. Prof. Dr. Taicir Mezghani is an excellent candidate for the Best Researcher Award, given his extensive contributions to data science, AI, and their applications in finance and cybersecurity. His work is characterized by its interdisciplinary nature, academic rigor, and practical relevance, making him a prominent figure in his field. Dr. Mezghani’s focus on ethical AI and innovative data systems addresses both current challenges and future needs in the digital economy.

To further strengthen his profile, expanding his research focus, enhancing visibility through open access, and increasing industry collaborations would be beneficial. Overall, Dr. Mezghani’s dedication to advancing AI-driven solutions positions him as a highly deserving nominee for the Best Researcher Award.

Shayesteh Tabatabaei | Organizational | Best Researcher Award

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Assoc Prof Dr. Shayesteh Tabatabaei, Individual Differences, Best Researcher Award

Associate Professor at Higher education complex of Saravan, Iran

Summary:

Dr. Shayesteh Tabatabaei is an accomplished academic and researcher specializing in computer engineering. She earned her Ph.D. from Tehran Science and Research University, where she focused on developing intelligent routing protocols for mobile ad-hoc networks. With a solid foundation in wireless sensor networks, IoT, and optimization algorithms, Dr. Tabatabaei has made significant contributions to her field. She has been recognized multiple times as a top researcher and is dedicated to advancing knowledge through both teaching and research. Dr. Tabatabaei’s expertise extends to programming and simulation tools, enhancing her research and instructional capabilities.

Professional Profile:

👩‍🎓Education:

Ph.D. in Computer Engineering, Tehran Science and Research University, Tehran, Iran (2010-2015)

  • Dissertation: “Present New Intelligent Routing Protocol for Mobile Ad-Hoc Network”
  • Supervisor: Dr. M. Teshnehlab
  • GPA: 18.63/20.00

M.Sc. in Computer Engineering, Islamic Azad University of Shabestar, Shabestar, Iran (2007-2009)

  • Thesis: “Improving the AODV Routing Protocol Using Reinforcement Learning”
  • Supervisor: Dr. MA. Jabraeil Jamali
  • GPA: 18.69/20.00

B.Sc. in Computer Engineering, Islamic Azad University of Shabestar, Shabestar, Iran (2002-2006)

  • GPA: 17.12/20.00

Professional Experience:

Dr. Shayesteh Tabatabaei is an Associate Professor with a robust academic and teaching background in computer engineering. She has extensive experience teaching at the undergraduate and graduate levels, covering courses such as Advanced Database Systems, Distributed Systems, Parallel Algorithms, and Fuzzy Logic for M.Sc. students, and Intelligent Artificial Systems, C and C++ Programming, Operating Systems, Database Systems, Computer Networks, and HTML for B.Sc. students. Her teaching career spans several institutions, including the Higher Educational Complex of Saravan, Sistan Baluchestan University, and various branches of Islamic Azad University (Bonab, Malekan, Miyandoab, Miyaneh, Zahedan).

Dr. Tabatabaei has also organized numerous training workshops focusing on wireless networks, IoT, and ISI article writing, demonstrating her commitment to continuous learning and professional development.

Research Interest:

  • Wireless Sensor Networks
  • Mobile Ad-Hoc Networks
  • Internet of Things (IoT)
  • Routing Protocols
  • Intelligent Algorithms
  • Optimization Algorithms
  • Intelligent Systems

Publications Top Noted: 

A novel fault tolerance energy-aware clustering method via social spider optimization (SSO) and fuzzy logic and mobile sink in wireless sensor networks (WSNs)

  • Comput. Syst. Sci. Eng., 35(6), 477-494, 2020
  • Citations: 60

A novel energy-aware clustering method via Lion Pride Optimizer Algorithm (LPO) and fuzzy logic in wireless sensor networks (WSNs)

  • Wireless Personal Communications, 108, 1803-1825, 2019
  • Citations: 38

Proposing an energy-aware routing protocol by using fish swarm optimization algorithm in WSN (wireless sensor networks)

  • Wireless Personal Communications, 119(3), 1935-1955, 2021
  • Citations: 35

A new method to find a high reliable route in IoT by using reinforcement learning and fuzzy logic

  • Wireless Personal Communications, 112(2), 967-983, 2020
  • Citations: 31

Reliable routing algorithm based on clustering and mobile sink in wireless sensor networks

  • Wireless Personal Communications, 108(4), 2541-2558, 2019
  • Citations: 24