Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

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Mr. Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

Thapar Institute of Engineering and Technology | India

Mr. Rajesh Kumar Chaudhary is a dedicated and result-oriented academician, serving as an Assistant Professor in the Department of Computer Science and Engineering. With over five years of academic and research experience, he has established expertise in clustered federated learning, wireless sensor networks, nature-inspired optimization algorithms, and privacy-preserving distributed artificial intelligence. His professional journey reflects a blend of strong teaching acumen, impactful research contributions, and a commitment to student mentorship. By integrating cutting-edge research with pedagogical innovation, he has significantly contributed to both the academic and practical realms of computer science. His scholarly work has been published in leading international journals, positioning him as an emerging voice in the domain of distributed and intelligent systems.

Education

Mr. Chaudhary holds a solid academic foundation in Computer Science and Engineering. He is currently pursuing a doctoral degree in the discipline from a reputed institute, with his research focusing on advancing clustered federated learning through nature-inspired optimization techniques and privacy-preserving mechanisms. Prior to his doctoral studies, he completed a Master of Technology in Computer Science and Engineering from a recognized university, where he specialized in developing optimization-based solutions for networked systems. His undergraduate studies in Computer Science and Engineering laid the groundwork for his expertise in networking, algorithms, and distributed computing. His academic trajectory has been characterized by consistent excellence, deep engagement with emerging technologies, and a passion for continuous learning.

Experience

Mr. Chaudhary has served as an Assistant Professor in the Department of Computer Science and Engineering at a well-regarded university, where he played a pivotal role in both academic delivery and extracurricular technical initiatives. He has taught core and advanced subjects including Computer Networks, Cryptography, Theory of Automata, and Operating Systems. Beyond classroom teaching, he has supervised multiple student research projects in clustered federated learning, wireless sensor networks, and optimization algorithms, guiding them toward impactful academic outputs. He has also organized workshops, industrial training programs, and technical seminars to bridge the gap between academic knowledge and industry expectations. Recognized for his commitment to institutional development, he has twice received the Best Training Coordinator award for his exceptional coordination of student training and placement activities.

Research Interest

Mr. Chaudhary’s research interests encompass a range of advanced computing topics, with a central focus on clustered federated learning (CFL) — an emerging paradigm in distributed artificial intelligence. He is particularly interested in integrating nature-inspired optimization algorithms, such as grey wolf optimization, real-coded genetic algorithms, and artificial bee colony optimization, to enhance the performance, scalability, and efficiency of CFL systems. His work also delves into privacy-preserving machine learning frameworks, aiming to ensure data security while maintaining high accuracy in distributed environments. Additionally, his research contributions to wireless sensor networks include the development and optimization of energy-efficient communication protocols, making significant strides toward sustainable IoT deployments. His scholarly output in reputed IEEE and Springer journals reflects both depth and breadth in these domains, combining theoretical rigor with practical applicability.

Awards

In recognition of his professional excellence, Mr. Chaudhary has been honored with multiple accolades. He was awarded the Best Training Coordinator on two occasions for his outstanding contributions to student training programs. His postgraduate studies were marked by top academic performance, earning him institutional recognition for his achievements. He has also been acknowledged for his contributions to sports, having represented his district in senior state-level football championships. Furthermore, his research dissemination activities, including paper presentations at national conferences, highlight his active engagement with the wider academic community.

Publications

Review paper on energy-efficient protocols in wireless sensor networks

Authors: R Chaudhary, S Vatta, P No
Journal: IOSR Journal of Engineering 4 (02), 01-07
Year: 2014

A tutorial of routing protocols in wireless sensor networks

Authors: R Chaudhary, DS Vatta
Journal: International Journal of Computer Science and Mobile Computing 3 (6), 971-979
Year: 2014

Performance optimization of WSN using deterministic energy efficient clustering protocol: A review

Authors: R Chaudhary, S Vatta
Journal: International Organization of Scientific Research Journal of Engineering 4 …
Year: 2014

A systematic review on federated learning system: a new paradigm to machine learning

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Knowledge and Information Systems 67 (2), 1811-1914
Year: 2025

Enhancing clustered federated learning using artificial bee colony optimization algorithm for consumer IoT devices

Authors: RK Chaudhary, R Kumar, K Aurangzeb, J Bedi, MS Anwar, A Choi
Journal: IEEE Transactions on Consumer Electronics
Year: 2024

Ameliorating clustered federated learning using real-coded genetic algorithm

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Cluster Computing 28 (6), 1-18
Year: 2025

Ameliorating clustered federated learning using grey wolf optimization algorithm for healthcare IoT devices

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: The Journal of Supercomputing 81 (8), 976
Year: 2025

Conclusion

Mr. Rajesh Kumar Chaudhary exemplifies the qualities of a committed educator, innovative researcher, and proactive mentor. His expertise in clustered federated learning, optimization algorithms, and privacy-preserving distributed AI positions him at the forefront of technological advancements in distributed computing systems. With a career that blends academic excellence, impactful research, and active student engagement, he continues to contribute to the development of intelligent, secure, and efficient computing frameworks. His vision aligns with the future of intelligent systems, where collaborative machine learning and optimization strategies will play a crucial role in shaping secure and high-performance applications across domains.

Bipasha Das | Laser Surface Engineering | Best Researcher Award

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Ms. Bipasha Das | Laser Surface Engineering | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Bipasha Das is a dedicated researcher in the field of nanoscience and technology, specializing in surface engineering of titanium alloys for biomedical applications. Her academic journey and research pursuits reflect a strong commitment to advancing the performance of bio-implant materials through innovative laser-based surface modification techniques. With a robust foundation in chemical engineering and environmental engineering, she bridges the gap between materials science and biomedical engineering. Bipasha’s work combines deep theoretical knowledge with extensive experimental expertise, contributing significantly to the improvement of tribological, corrosion, and biocompatibility properties of titanium-based alloys. She has shared her research at prestigious international conferences and published in high-impact journals, gaining recognition for her scientific contributions.

Professional Profile

SCOPUS

GOOGLE SCHOLAR

Education

Bipasha holds a Ph.D. in Nanoscience and Technology from the Indian Institute of Technology Kharagpur, where her thesis focuses on the “Surface Engineering of Titanium Alloys for Biomedical Applications.” Her doctoral research involves diverse laser processing techniques, including laser surface melting, composite surfacing, shock peening, and hybrid laser processing of Ti6Al4V alloy. She also earned a Master’s degree in Chemical Engineering with a specialization in Environmental Engineering from the University of Calcutta, where she conducted research on photocatalytic degradation of nanocomposite films. Her academic foundation was laid with a Bachelor’s degree in Chemical Engineering from Maulana Abul Kalam Azad University of Technology, West Bengal. This multidisciplinary education has equipped her with strong technical knowledge, analytical skills, and the ability to address challenges at the intersection of materials science, environmental sustainability, and biomedical engineering.

Experience

Throughout her academic and research career, Bipasha has engaged in extensive laboratory work, mastering advanced characterization and testing methods for engineering materials. Her expertise spans metallographic sample preparation, optical microscopy, surface profilometry, X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy, microhardness testing, nanoindentation, electrochemical evaluation, wear testing, and tribocorrosion studies. She has also acquired proficiency in various software tools, data analysis methods, and programming languages, enabling her to interpret experimental results with precision. Her professional experience includes industrial training at reputed companies, where she developed practical knowledge of chemical process operations. Additionally, she has contributed as a speaker at multiple national and international conferences, showcasing her findings to a global scientific community.

Research Interest

Bipasha’s primary research interest lies in enhancing the functional performance of titanium-based alloys for biomedical applications through advanced surface engineering. She focuses on laser-assisted techniques to improve wear resistance, corrosion protection, and biocompatibility of Ti6Al4V alloy implants. Her studies investigate the kinetics and mechanisms of tribo-corrosion, the development of in situ carbide-reinforced titanium matrix composites, and the optimization of surface treatments for long-term implant stability. She is also keenly interested in hybrid laser processing methods that combine mechanical, chemical, and thermal effects to create superior surface properties. Beyond biomedical applications, her background in environmental engineering provides her with an interdisciplinary approach, enabling her to explore sustainable and eco-efficient materials processing.

Awards

Bipasha’s research excellence has been recognized through various academic and professional achievements. She received the Journal of Bio and Tribo-Corrosion (JBTC) award for the best presentation and scientific contribution at the 6th International Conference on Tribo-Corrosion. Her selection as a speaker at numerous international symposia and conferences, including events in the United Kingdom and collaborative Indo-Austrian programs, further demonstrates her prominence in the scientific community. She has also been a recipient of government scholarships in recognition of her academic merit, which has supported her advanced studies and research pursuits.

Publications

Mechanically tailored surface of titanium-based alloy (Ti6Al4V) by laser surface treatment

Authors: Das, B., Srivastava, S. K., Manna, I., & Majumdar, J. D.

Journal: Surface and Coatings Technology

Year: 2024

Studies on Kinetics and Mechanism of Tribo-corrosion of in situ Laser Composite Surfaced Ti6Al4V using diode laser

Authors: Das, B., Srivastava, S. K., Manna, I., & Majumdar, J. D.

Journal: Tribology International

Year: 2025

Conclusion

Bipasha Das exemplifies the qualities of a forward-thinking researcher dedicated to innovation in biomedical materials engineering. Her work in laser-based surface engineering has the potential to significantly impact the design and durability of next-generation bio-implants, offering improved performance and patient outcomes. With her strong academic foundation, cross-disciplinary expertise, and growing international presence, she stands as a promising contributor to both scientific advancement and practical applications in healthcare materials. Her future endeavors are poised to build on her current successes, further bridging the gap between advanced materials processing and biomedical innovation.

Zakiyeh azdanshenas | Qualitative Research | Best Researcher Award

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Dr. Zakiyeh azdanshenas | Qualitative Research | Best Researcher Award

University of Tehran | Iran

Dr. Zakiyeh Yazdanshenas is an accomplished scholar and academic leader specializing in International Relations, Regional Studies, and China–Middle East dynamics. She currently serves as an Assistant Professor at the University of Tehran’s Faculty of World Studies, Department of East and South Asian Studies, where she designs and delivers graduate-level courses on politics, China’s foreign policy, and global cultural transitions. Alongside her academic post, she is a Research Fellow at the Center for Applied Research in Partnership with the Orient (Germany) and the Director of the China–MENA Relations Research Group at the Center for Scientific Research and Middle East Strategic Studies (Iran). With a blend of academic, policy, and research expertise, Dr. Yazdanshenas plays a pivotal role in fostering dialogue and knowledge exchange on geopolitical developments, regional integration, and cross-cultural engagement.

Professional Profile

ORCID

GOOGLE SCHOLAR

Education

Dr. Yazdanshenas holds a Ph.D. in Regional Studies from the University of Tehran, where her doctoral research explored the “Pivot to Asia Strategy” and its implications for the Middle East’s regional order under the guidance of distinguished professors. She earned her Master’s degree in International Relations from Shahid Beheshti University, focusing on China’s position in the international system and its strategic opportunities and challenges. Her academic journey began with a Bachelor’s degree in Political Science from the University of Shiraz, where she developed the foundational knowledge that would later underpin her scholarly focus on Asia–Middle East relations.

Experience

Dr. Yazdanshenas has an extensive academic and research portfolio. At the University of Tehran, she is responsible for graduate modules such as Introduction to Politics, China’s Foreign Policy, and Culture and Identity in a World in Transition. She has also served as Visiting Assistant Professor at the University of Tehran’s Faculty of Law and Political Science, Allameh Tabataba’i University, and the University of Bojnord, teaching subjects including U.S. foreign policy, theories of regional studies, and international negotiations.
Her research experience spans roles as Researcher at the Islamic Parliament Research Center of Iran, where she produced policy reports on China’s foreign policy in Central and West Asia, and as a long-term Research Fellow at the Center for Scientific Research and Middle East Strategic Studies. She has actively engaged in project-based research funded by prestigious institutions, covering topics such as China’s antitrust laws, Iran–China strategic partnerships, and U.S. governmental foreign policy strategies. Beyond academia, she has contributed to the public discourse as a journalist and columnist for leading Iranian and international platforms.

Research Interests

Her research interests lie at the intersection of International Relations, Regional Studies, and comparative foreign policy, with a primary focus on China–Middle East relations, U.S.–China strategic rivalry, and geopolitical transitions in the MENA region. She is particularly engaged in examining how China’s expanding role affects regional connectivity, security dialogue, and economic integration. Other interests include identity politics in global affairs, international negotiations, and the influence of major power competition on regional orders. Her work blends theoretical analysis with policy-relevant insights, aiming to contribute both to academic scholarship and to informed policymaking.

Awards & Recognitions

While her academic career is defined more by scholarly contributions and leadership roles than formal awards, Dr. Yazdanshenas’s recognition comes through her international invitations to speak at high-profile conferences and panels. She has been a guest speaker at globally respected institutions and forums, including Princeton University, the Middle East Institute (Singapore), CARPO, and the Arab Center for Research and Policy Studies. These invitations reflect the global relevance of her research and the esteem in which she is held by peers in academia and policy circles.

Publication

From Engaging to Containing China: US Attempts to Fill Power-role Gaps (2000–2018)

Authors: Zakiyeh Yazdanshenas
Journal: The International Spectator
Year: 2025

China-Iran Strategic Partnership and the Future of US Hegemony in the Persian Gulf Region

Authors: Alam Saleh, Zakiyeh Yazdanshenas
Journal: British Journal of Middle Eastern Studies
Year: 2024

Economic Diplomacy and China’s Strategy in Regulating Relations with Iran and Saudi Arabia

Authors: Zakiyeh Yazdanshenas
Journal: Strategic Studies of Public Policy
Year: 2022

International Institutions of the Middle East: The GCC, Arab League, and Arab Maghreb Union

Authors: Zakiyeh Yazdanshenas
Journal: British Journal of Middle Eastern Studies
Year: 2021

Conclusion

Dr. Zakiyeh Yazdanshenas stands out as a leading voice in analyzing and shaping the discourse on China–Middle East relations and broader geopolitical transformations. Her multidisciplinary expertise, teaching excellence, and extensive research engagements position her as both a scholar and a bridge-builder between academic research and policy application. Through her roles in academia, research institutes, and international platforms, she has contributed significantly to understanding the dynamics of regional orders and the interplay of global powers. Her ongoing work continues to influence scholarly debates, policy formulation, and cross-regional collaboration, underscoring her role as an influential figure in the evolving landscape of international relations.

Lianhong QIU | Data Analysis | Best Researcher Award

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Assoc Prof Dr. Lianhong QIU | Data Analysis | Best Researcher Award

Guangdong Provincial Party School of the CPC | China

Assoc. Prof. Dr. Lianhong Qiu is a distinguished scholar and academic at the Guangdong Provincial Party School of the Communist Party of China (CPC). With a firm grounding in economics and governance, he has cultivated an academic profile that blends theoretical rigor with practical application. His scholarly work addresses the intersections of climate risk, industrial development, and technological transformation, particularly within the context of China’s evolving energy and policy landscape. His research reflects a commitment to exploring actionable solutions that align economic growth with environmental sustainability and energy security.

Professional Profile

SCOPUS

Education

Dr. Qiu earned his Ph.D. in Economics from the prestigious Party School of the Central Committee of the CPC, now recognized as the National Academy of Governance. His academic journey was grounded in comprehensive training in macroeconomics, industrial policy, and state governance, equipping him with the tools to dissect complex systemic interactions within China’s socio-economic framework. This background provided the foundation for his interdisciplinary approach to economic research, incorporating advanced econometric methods, risk analysis, and policy impact evaluation.

Experience

As an Associate Professor at the Guangdong Provincial Party School of the CPC, Dr. Qiu plays a pivotal role in shaping the intellectual discourse on economic transformation and governance. He is actively involved in training government officials and contributing to the academic development of future policy leaders. His teaching covers subjects related to industrial economics, climate economics, and innovation policy, while his administrative contributions support academic research and institutional collaboration. His experience extends beyond academia into policy consultancy, where he offers insights into the real-world implications of emerging economic trends.

Research Interest

Dr. Qiu’s primary research interest lies in industrial economic development, with a strong emphasis on the interface between environmental risks and technological advancement. His recent work addresses the dynamic interactions among climate physical risk (PRI), transition risk (TRI), and new energy vehicle (NEV) adoption in China. By applying time-varying parameter vector autoregression models with stochastic volatility, he introduces innovative tools for quantifying the evolving relationships between these variables. This methodological approach allows for a nuanced understanding of the cause-effect mechanisms underpinning industrial and environmental shifts, especially within the energy and transportation sectors.

He also explores asymmetric impacts and feedback loops—for instance, while physical climate risks may suppress consumer uptake of NEVs, transition-related regulatory pressures tend to encourage their adoption. Additionally, his findings highlight that while NEV growth mitigates physical climate risk, it may also exacerbate transition risk under certain conditions. These insights have significant implications for balancing industrial policy, environmental sustainability, and energy strategy.

Award

Dr. Qiu’s contributions have been recognized within academic and policy-making circles for their methodological sophistication and relevance to contemporary governance challenges. His research has been acknowledged for its impact on policy design and strategic planning in the field of green transition and industrial transformation. By offering empirical insights that align with China’s dual-carbon goals, his work is instrumental in shaping regional and national strategies for green innovation, energy resilience, and climate adaptation.

Publication

How do climate risks intersect with the rise of new energy vehicles in China?

  • Authors: Qiu, LH; Wong, XQ; (…); Song, YB

  • Journal: Economic Analysis and Policy

  • Year: 2025

The essential role of big data: Could it effectively mitigate non-performing loans?

  • Authors: Qiu, LH; Su, HD; (…); Qin, M

  • Journal: Romanian Journal of Economic Forecasting

  • Year: 2024

Are there digital tech bubbles in China?

  • Authors: Qin, M; Su, CW; (…); Lobont, OR

  • Journal: Technological and Economic Development of Economy

  • Year: 2024

Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective

  • Authors: Wang, KH; Kan, JM; (…); Xu, SL

  • Journal: Economic Analysis and Policy

  • Year: 2023

The inevitable role of El Nino: A fresh insight into the oil market

  • Authors: Qin, M; Qiu, LH; (…); Jiao, W

  • Journal: Economic Research – Ekonomska Istraživanja

  • Year: 2020

Conclusion

Assoc. Prof. Dr. Lianhong Qiu stands out as a dynamic scholar whose interdisciplinary expertise contributes to the evolving discourse on sustainable industrial development in China. Through innovative methodological approaches, empirical rigor, and a strong commitment to real-world impact, he addresses pressing challenges at the nexus of climate change, economic transition, and technological innovation. His work not only advances academic thought but also provides actionable guidance for policymakers navigating the complexities of green growth and energy transformation. As China and the world face intensifying climate and energy challenges, Dr. Qiu’s research continues to offer vital pathways for aligning economic prosperity with environmental stewardship.

Desmond Bartholomew | Wavelet based analysis | Young Scientist Award

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Mr. Desmond Bartholomew | Wavelet based analysis | Young Scientist Award

Federal University Of Technology Owerri | Nigeria

Author  Profile

Scopus

orcid

Google Scholar

Early Academic Pursuits

Mr. Desmond Bartholomew began his academic journey with a Bachelor of Technology in Statistics from the Federal University of Technology, Owerri (FUTO), Nigeria, where he graduated with First Class honors. His undergraduate thesis addressed the Estimation of Nonorthogonal Problem Using Time Series Dataset, laying a strong foundation in quantitative modeling and time series analysis. He pursued his postgraduate studies at the University of Port Harcourt, earning a Master of Science in Statistics. His master’s thesis investigated the Effects of Maternal Education, Weight, and Age on Child Birth Weight in Nigeria, reflecting an early focus on public health data analysis.

Professional Endeavors

Mr. Bartholomew’s career reflects a dynamic mix of academic, research, and industry experience. He currently serves as an Assistant Lecturer in the Department of Statistics at FUTO, where he plays an active role in teaching, supervising projects, and supporting graduate seminars. He also holds the position of Facilitator and Trainer at the Centre of Excellence in Sustainable Procurement, Environmental and Social Standards (CESPESS), where he imparts practical statistical training for both undergraduate and postgraduate students.

Earlier, he worked as a Graduate Assistant in the same department, where he was instrumental in curriculum development, statistical consulting, and creating course materials in R and Python. In the corporate sector, Mr. Bartholomew served as a Management Information Systems Analyst at Leadway Assurance Company, contributing to data visualization, Power BI dashboard creation, and business intelligence reporting.

Contributions and Research Focus

Mr. Bartholomew’s research interests intersect statistical modeling, data science, machine learning, environmental statistics, engineering applications, and public health analytics. His published works showcase applications of wavelet transforms, Bayesian inference, experimental design, and artificial intelligence in solving contemporary issues in finance, community health, and engineering. His publications span high-impact journals including Annals of Data Science, Earth Science Informatics, and the CBN Journal of Applied Statistics.

Impact and Influence

Mr. Bartholomew’s influence is evident through his cross-disciplinary collaborations, involvement in international conferences, and active membership in professional bodies such as the Professional Statisticians’ Society of Nigeria and Data Science Network, Nigeria. His commitment to data-driven decision-making and capacity building is shaping the next generation of statistical and data science professionals in Nigeria. He also contributes to administrative and strategic planning roles at FUTO, enhancing both departmental and institutional functions.

Academic Citations

Mr. Bartholomew’s research output is indexed on Google Scholar, ResearchGate, SCOPUS, and Web of Science, providing global access to his work. His publications are increasingly cited in areas like applied statistics, machine learning, and environmental health, marking his growing reputation within the academic and professional data science community.

Technical Skills

Mr. Bartholomew possesses advanced technical competencies in R, Python, Power BI, and QlikView, with hands-on experience in data visualization, machine learning modeling, and multivariate analysis. His ability to integrate statistical knowledge with modern tools equips him to manage complex datasets and generate actionable insights. He also holds certifications in web programming, environmental standards, and data science from global platforms like DataCamp and institutions like HIIT Nigeria.

Teaching Experience

His teaching portfolio includes a wide range of undergraduate and postgraduate statistics courses, such as Descriptive Statistics, Probability Theory, Statistical Inference, Biostatistics, Experimental Design, Multivariate Methods, and Bayesian Inference. He has also developed and led modules in R programming, data cleaning, and survey analysis, often merging theoretical knowledge with real-world applications.

Legacy and Future Contributions

Mr. Bartholomew has taken up several leadership roles including serving as the President of the 2015 Alumni Association, Timetable Officer, and Website Desk Officer for the Department of Statistics at FUTO. He is deeply involved in mentoring students, shaping academic policy, and enhancing technological integration within the university. His recent recognition for the Best Research Publication in 2024 highlights his dedication to excellence in scholarly communication. With a clear vision for advancing evidence-based policymaking through data, Mr. Bartholomew is poised to contribute significantly to both national and international research landscapes.

Publication

Optimizing Nigerian Bank Lending Systems: The Power of Discrete Wavelet Transform (DWT) in Denoising and Regression Analysis

Authors: C. J. Ogbonna, C. J. Ohabuka, D. C. Bartholomew, K. E. Anyiam, I. Adamu
Journal: Annals of Data Science
Year: 2025

Modeling the Geotechnical Properties of Small Soil Samples of Oil Polluted Soil: The Power of Supervised Machine Learning Models

Authors: A. N. Nwachukwu, D. C. Bartholomew
Journal: Soil and Sediment Contamination
Year: 2024

Intervention Analysis of COVID-19 Vaccination in Nigeria: The Naive Solution Versus Interrupted Time Series

Authors: Desmond Chekwube Bartholomew, Chrysogonus Chinagorom Nwaigwe, Ukamaka Cynthia Orumie, Godwin Onyeka Nwafor
Journal: Annals of Data Science
Year: 2024

A Monte Carlo Simulation Comparison of Methods of Detecting Outliers in Time Series Data

Authors: Desmond C. Bartholomew
Journal: Journal of Statistics Applications & Probability
Year: 2022

Classical and Machine Learning Modeling of Crude Oil Production in Nigeria: Identification of an Eminent Model for Application

Authors: C. P. Obite, A. Chukwu, D. C. Bartholomew, U. I. Nwosu, G. E. Esiaba
Journal: Energy Reports
Year: 2021

Meriem Elbouhali | Blockchain | Best Researcher Award

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Dr. Meriem Elbouhali | Blockchain | Best Researcher Award

ESLSCA Paris Business School, CERFIM | France

Author Profile

Scopus

Early Academic Pursuits

Dr. Meriem El Bouhali is a distinguished scholar in the field of digital marketing and business-to-business (B2B) research. Her academic journey reflects a consistent trajectory of excellence and depth in management sciences. She holds a Ph.D. in Management Sciences (Digital Marketing) from Université Paris 2 Panthéon-Assas, earned in December 2020. Her doctoral thesis, titled “Convertir les visiteurs du site web en clients : comment la qualité du site web de fournisseur influence la confiance et l’intention de sélection dans un contexte de sourcing ?”, was awarded with “Mention très honorable avec les félicitations à l’unanimité”, a prestigious distinction reflecting both the academic quality and practical relevance of her research. Her thesis received the University Thesis Prize of Paris 2, emphasizing its contribution to the field.

Her academic foundations are equally solid. Dr. El Bouhali completed a Master 2 in Management Sciences (Organizational Management) at Université Paris 2 Panthéon-Assas in 2013 and a Master 1 in Economics and Management at Université Paris 1 Panthéon-Sorbonne in 2012. She also completed the EDEN Doctoral Seminar on Advances in B2B Marketing at the Turku School of Economics in Finland in 2019, further reinforcing her international research exposure.

Professional Endeavors

Dr. El Bouhali currently serves as an Associate Professor and Program Director at ESLSCA Business School Paris, where she leads the MBA in Digital Marketing and Innovation. Her responsibilities span from academic course design and delivery to program coordination and student mentorship. She is involved in the strategic development of curricula, pedagogical innovation, partnership building, and international academic initiatives.

Her professional academic experience includes roles as an adjunct faculty member at the Faculté Libre de Droit, d’Économie et de Gestion (2016–2021), a contractual professor at Université de Picardie Jules Verne (2018–2019), and an ATER (Attachée Temporaire d’Enseignement et de Recherche) at Université Paris 2 Panthéon-Assas (2014–2016). Across these positions, she has taught a wide range of subjects, including digital marketing, B2B marketing, service marketing, international negotiation, customer loyalty, and research methodology.

Contributions and Research Focus

Dr. El Bouhali’s research is rooted in the digital transformation of B2B marketing, with a specific interest in how website quality, digital trust, and online partner selection influence business relationships. Her published work includes studies on blockchain adoption in auditing, internal branding and social media performance, and sustainable business models in the financial services sector.

Her doctoral and postdoctoral work investigates the intersection between digital interface quality and supplier selection, using both qualitative and quantitative methods. Her approach blends theory with practical application, providing insight into how organizations can improve digital presence to build trust and enhance buyer engagement.

Impact and Influence

Through her research and teaching, Dr. El Bouhali has made significant contributions to both academia and industry. Her work on digital trust in sourcing contexts and social media capabilities has been cited and discussed in academic conferences and peer-reviewed journals. She has participated in high-level conferences such as the EMAC Annual Conference, the Association Française du Marketing, and the International Marketing Trends Conference. Her research is shaping modern marketing discourse, particularly in the context of sustainability, customer relationship management, and technological innovation.

Academic Citations and Publications

Dr. El Bouhali’s peer-reviewed articles and academic collaborations reflect her influence in the field. Key publications include:

  • “Blockchain Technology Adoption Intention among the Big Four Audit Firms” (The British Accounting Review, 2025)

  • “Les capacités dans le domaine des médias sociaux, déterminants de la performance salariée” (Gestion2000, 2024)

  • “Vers un business model durable: une étude de cas d’un groupe de services financiers” (Droit et Patrimoine, 2023)

  • “Choix du fournisseur à l’ère du digital” (Cahiers de recherche FACO, 2019)

She also has multiple articles under review or submitted to reputable journals, including Technovation, Studies in Higher Education, and Research in International Business and Finance.

Technical Skills

Dr. El Bouhali is proficient in both qualitative and quantitative research methodologies, using tools such as SPSS, SMART PLS, and QDA Miner. She is also adept with the Microsoft Office 365 Suite and delivers distance education via platforms like Zoom, Teams, and Discord. Her teaching approach incorporates active learning, including flipped classrooms and problem-based learning strategies.

Teaching Experience

Her teaching expertise covers both undergraduate and graduate levels, including Bachelor’s, MBA, and Master’s programs. She has taught a broad spectrum of courses in marketing, including digital marketing, customer loyalty, strategic marketing, and CSR. Her teaching style emphasizes critical thinking, real-world application, and interactive methodologies.

She has also played an active role in supervising master’s theses, coordinating program accreditations (RNCP), and organizing student workshops, conferences, and international study tours. She is involved in faculty development and supports student engagement initiatives.

Legacy and Future Contributions

Dr. El Bouhali’s academic legacy is defined by her commitment to bridging the gap between theory and practice, especially in the fast-evolving domains of digital marketing and sustainable innovation. Looking ahead, she plans to continue researching how digital transformation impacts buyer–supplier dynamics, with a focus on AI integration, B2B trust models, and sustainable customer engagement.

Her role in shaping future marketing professionals is not limited to teaching—she actively designs programs that are industry-relevant, research-driven, and pedagogically progressive. As a member of the CERFIM and LARGEPA research labs, she is well-positioned to influence future debates on responsible marketing and technological change.

Publications

Blockchain technology adoption intention among the Big Four audit firms, 2025

 

Najla Bouebdallah | Blockchain | Best Researcher Award

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Dr. Najla Bouebdallah | Blockchain | Best Researcher Award

Excelia Business School | France

Author Profile

Scopus

🎓 Early Academic Pursuits

Dr. Najla Bouebdallah’s academic journey is marked by exceptional excellence and dedication to the field of management sciences and accounting. Born and educated in Tunisia, she began her scholarly path with a Baccalauréat in Mathematics (2007), graduating with Mention Très Bien. She pursued a Bachelor’s in Management Sciences with a specialization in Accounting at ISG Tunisia, where she again ranked at the top of her class in 2010. Her passion for academia led her to complete a Master’s in Accounting and Financial Methods in 2013 at FSEG Tunisia, where she graduated with the highest distinction and was recognized as the major of her promotion.

Driven by a growing interest in understanding the strategic value of knowledge within organizations, Dr. Bouebdallah earned her Ph.D. in Management Sciences in 2019 from the GRANEM research laboratory (IAE Angers) and IHEC Carthage. Her doctoral thesis, “The Impact of Intellectual Capital on Business Performance: Case of the BRICS Countries,” was supervised by prominent scholars including Prof. Lionel Escaffre and Prof. Salma Damak Ayedi, reflecting her early focus on intangible assets and performance analytics in emerging economies.

💼 Professional Endeavors

Dr. Bouebdallah’s professional career spans across academia, research, and international collaboration. She is currently a Research Engineer at Excelia Business School Paris and a Lecturer at EM Normandie, where she brings a blend of academic theory and applied finance into the classroom. Her earlier teaching roles include appointments at Université Paris 10 Nanterre, IAE Gustave Eiffel Créteil, Université Lille 1, and several prestigious business schools such as ESLSCA, ISG, and EDC Paris.

Over the years, she has developed and taught a broad portfolio of courses ranging from financial accounting, IFRS, audit, and consolidation, to management control, taxation, and research methodology at both undergraduate and graduate levels, including MBA programs. Her pedagogy is complemented by a strong commitment to mentorship and research supervision, supporting students in thesis writing, applied research, and professional project development.

🔬 Contributions and Research Focus

Dr. Bouebdallah’s research is at the intersection of accounting, sustainability, and digital transformation. She has authored and co-authored numerous papers on topics such as intellectual capital, ESG (Environmental, Social, and Governance) adoption, blockchain technology in auditing, and generative AI in finance and education.

Her upcoming publication in the Asian Review of Accounting (2025) titled “Factors Determining Big Four Auditors’ Intentions to Use Blockchain Technology: A Mixed Approach” demonstrates her pioneering work in exploring how emerging technologies reshape the auditing landscape. Additionally, she has contributed to the British Accounting Review, Financial Innovations, and is preparing chapters for an academic book titled “Innovating Finance for a Sustainable Future” (World Scientific).

Current research projects include:

  • Adoption of Generative AI in Banking and Education

  • Supply Chain Resilience – A Bibliometric Analysis

  • AI, Machine Learning, and Big Data in Trading Systems

🏅 Accolades and Recognition

Dr. Bouebdallah’s academic and research excellence has been consistently recognized. She has:

  • Graduated as Top of her Class in both Bachelor’s and Master’s degrees.

  • Served as an Elected Member of the GRANEM Research Council (2016–2019).

  • Participated in the Scientific Committee of the 41st AFC (Association Francophone de Comptabilité) Congress in Angers.

  • Received multiple international seminar invitations in Brussels, Madrid, Dubai, and online for executive Micro-MBA modules on cost analysis, performance leadership, and financial strategy.

Her role as a peer reviewer for journals such as Journal of Financial Reporting and Accounting, African Development Review, and Journal of Sustainable Finance & Investment further highlights her academic credibility and engagement with global research networks.

🌍 Impact and Influence

Dr. Bouebdallah is widely respected for her interdisciplinary insight, combining accounting fundamentals with emerging technological tools. Her work has influenced both academic communities and professional circles, especially in understanding how technologies like blockchain and AI affect corporate governance, audit practices, and sustainability reporting. She actively contributes to international conferences and collaborative research networks, particularly within the Francophone academic world and the Middle East–North Africa (MENA) region.

Her teachings and research are grounded in real-world relevance, equipping students and professionals to meet the challenges of digital transformation and sustainable finance.

🔮 Legacy and Future Contributions

Looking ahead, Dr. Bouebdallah aims to further explore the interface between ethical governance, digital innovation, and financial accountability. She envisions developing cross-disciplinary curricula, producing high-impact research, and influencing policy and practice in how financial systems adapt to sustainability challenges and technological disruptions. With her ongoing work on AI in education, blockchain-enabled auditing, and ESG data integration, she is poised to shape the next generation of responsible, tech-savvy financial leaders.

Through her dedication to academic rigor, innovative research, and global collaboration, Dr. Najla Bouebdallah continues to build a legacy that bridges tradition with innovation in the fields of accounting, auditing, and responsible finance. 🌟

Publications

Blockchain technology adoption intention among the Big Four audit firms, 2025

 

Mohammad Zahid | Cybersecurity Data Analysis | Young Scientist Award

Published on by Research Data Analysis

Mr. Mohammad Zahid | Cybersecurity Data Analysis | Young Scientist Award

Jamia Millia Islamia | India

Author Profile

Google Scholar

Mr. Mohammad Zahid

Junior Research Fellow | Ph.D. Scholar in Computer Science | Cybersecurity & AI Researcher

Summary

Mohammad Zahid is a motivated and research-focused computer science professional currently pursuing a Ph.D. in Computer Science at Jamia Millia Islamia, New Delhi. He is working as a Junior Research Fellow (JRF) with a specialization in IoT security, machine learning, deep learning, and federated learning. With strong analytical and technical skills, he is actively engaged in AI-driven cybersecurity research, aiming to develop intelligent systems for threat detection. Zahid is passionate about contributing to innovative and interdisciplinary projects in both academia and the tech industry.

Education

Mr. Zahid is currently enrolled in a Ph.D. program at Jamia Millia Islamia (Central University), New Delhi, with a research focus in computer science and AI. He holds a Master of Computer Applications (MCA) from Maulana Azad National Urdu University (MANUU), Hyderabad, where he graduated with an excellent academic record (87.6%). He also completed a Bachelor of Science (Hons) in Chemistry, Mathematics, and Physics from Aligarh Muslim University (AMU), Aligarh.

Professional Experience

As a Junior Research Fellow, Mr. Zahid is engaged in cutting-edge research related to cybersecurity and artificial intelligence. During his postgraduate studies, he developed a web-based fraud detection system that utilized machine learning algorithms to identify and visualize suspicious banking transactions. His hands-on experience includes technologies such as Java, MySQL, JavaScript, and HTML/CSS, with a strong foundation in data preprocessing and anomaly detection.

Research Interests

Mr. Zahid’s research interests span across IoT security, federated learning, machine learning, and deep learning. His current Ph.D. research is centered on AI-based cybersecurity frameworks, especially for detecting and mitigating threats in decentralized and IoT-based environments. He is particularly interested in applying federated learning models to preserve data privacy while improving detection efficiency in real-world systems.

Honors and Awards

Mr. Zahid was awarded the UGC Junior Research Fellowship (JRF) in Computer Science by the National Testing Agency (NTA) in March 2022, recognizing him among the top national-level researchers eligible for academic and research roles across Indian universities. He also received the Merit-cum-Means Scholarship for Professional Courses from the Ministry of Minority Affairs, Government of India, during his MCA studies (2018–2021), in acknowledgment of his academic performance and financial need.

Publications

 Empowering IoT Networks

Author: M Zahid, TS Bharati

Journal: Artificial Intelligence for Blockchain and Cybersecurity Powered IoT
Year: 2025

Enhancing Cybersecurity in IoT Systems: A Hybrid Deep Learning Approach for Real-Time Attack Detection

Author: M Zahid, TS Bharati
Journal: Discover Internet of Things, Volume 5(1), Page 73
Year: 2025

 Comprehensive Review of IoT Attack Detection Using Machine Learning and Deep Learning Techniques

Author: M Zahid, TS Bharati
Journal: 2024 Second International Conference on Advanced Computing & Communication
Year: 2024

Empowering IoT Networks: A Study on Machine Learning and Deep Learning for DDoS Attack

Author: M Zahid, TS Bharati
Journal: Artificial Intelligence for Blockchain and Cybersecurity Powered IoT
Year: 2025

Kersti Karu – Educational Data Analysis – Best Researcher Award

Published on by Research Data Analysis

Dr. Kersti Karu - Educational Data Analysis - Best Researcher Award

University College London - United Kingdom

Author Profile

Early Academic Pursuits

Dr. Kersti Karu embarked on her academic journey with a strong foundation in Chemical Engineering, earning her Bachelor of Science degree from Tallinn Technical University. Building upon this, she pursued her passion for analytical chemistry by obtaining a Master of Science degree in Analytical Chemistry from UCL Birkbeck College. These formative years laid the groundwork for her illustrious career in research and academia.

Professional Endeavors

Dr. Karu's professional journey commenced in 2001 at UCL School of Pharmacy, where she began her research as a mass spectrometrist. Over the years, she honed her expertise in mass spectrometry analysis, delving into various applications spanning small molecules, proteins, peptides, DNA, and RNA. Her dedication and commitment led her to complete her Ph.D. in Liquid Chromatography Mass Spectrometry (LC-MS) methods tailored for sterol analysis, under the guidance of Professor William J Griffiths.

Transitioning to Imperial College London, Dr. Karu expanded her research horizons, focusing on identifying pain-related proteins in the brain using proteomics techniques. This period marked her foray into interdisciplinary research, blending mass spectrometry with neuroscience to unravel complex biological phenomena.

Joining UCL Chemistry Department in 2013 as the Mass Spectrometry Manager showcased Dr. Karu's leadership capabilities as she spearheaded various projects, ranging from small molecule identification to antibody-conjugate analysis. Additionally, her role in supervising MSc projects underscores her commitment to nurturing the next generation of analytical chemists.

Contributions and Research Focus

Dr. Karu's research revolves around the biosynthesis and metabolism of phytosterols and cholesterol, exploring their implications for human health. Noteworthy is her collaboration with UCL Queen Square Institute of Neurology, where she established analytical methods for analyzing bile acids and sterols in biological samples, contributing to the understanding of neurological disorders. Furthermore, her partnership with UCL Bloomsbury Institute of Intensive Care Medicine shed light on the involvement of cholesterol and its metabolites in sepsis, highlighting the broader impact of her research on critical care medicine.

Accolades and Recognition

Dr. Karu's contributions to the field of analytical chemistry have garnered significant recognition, reflected in her authorship of 40 peer-reviewed papers with over 1053 citations. Her impressive h-index of 16 underscores the influence of her research within the scientific community.

Impact and Influence

Dr. Karu's multidisciplinary approach to research, bridging chemistry with neuroscience and medicine, has paved the way for groundbreaking discoveries. Her innovative methods for mass spectrometry analysis have not only advanced scientific knowledge but also found practical applications in diverse fields, from pharmaceuticals to environmental monitoring.

Legacy and Future Contributions

Dr. Karu's legacy lies in her unwavering dedication to advancing analytical chemistry and its applications in understanding complex biological systems. As she continues her academic journey, her future contributions are poised to shape the landscape of mass spectrometry and its role in addressing pressing healthcare challenges.

In conclusion, Dr. Kersti Karu's remarkable academic pursuits, professional endeavors, and impactful research underscore her as a trailblazer in the field of analytical chemistry. Her interdisciplinary approach, coupled with her commitment to mentorship and collaboration, positions her as a beacon of innovation and excellence in academia.

Notable Publication