Sabbir Ahmed Udoy | Artificial Intelligence | Best Researcher Award

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Mr. Sabbir Ahmed Udoy | Artificial Intelligence | Best Researcher Award

Rajshahi University of Engineering & Technology, Bangladesh

Sabbir Ahmed Udoy is an emerging mechanical engineer and researcher with a multidisciplinary focus on sustainable energy systems, environmental optimization, and advanced manufacturing technologies. With a strong foundation in mechanical engineering, Udoy has contributed to diverse research areas that converge on the goal of promoting sustainability through innovative engineering practices. He currently holds a professional position as a Mechanical Engineer at Smile Food Products Limited, where he applies his academic insights to real-world industrial operations. Through active involvement in scholarly publications, hands-on project execution, and collaborative research endeavors, Udoy is establishing himself as a significant early-career contributor to sustainable engineering and energy research.

Profile

Google Scholar

Education

Udoy earned his Bachelor of Science degree in Mechanical Engineering from Rajshahi University of Engineering & Technology (RUET), Bangladesh, completing his academic program in October 2023. He graduated with a CGPA of 3.24 out of 4.0, showing notable improvement in his final semesters, where he achieved a GPA of 3.40 over the last 60 credits. Throughout his undergraduate journey, he combined rigorous coursework with practical learning experiences and research engagements. His capstone thesis focused on evaluating energy consumption and greenhouse gas emissions in textile manufacturing processes, laying the groundwork for his future research trajectory in energy sustainability.

Experience

Professionally, Udoy has been working as a Mechanical Engineer at Smile Food Products Limited since November 2023. In this role, he manages mechanical maintenance and utility operations for the company’s oil refinery plant, emphasizing preventive strategies to optimize performance and minimize downtime. Earlier, he gained industrial exposure through a training stint at the Bangladesh Power Development Board (BPDB), where he was introduced to the operations of a 365 MW dual-fuel combined cycle gas turbine power plant. These hands-on experiences have enriched his engineering acumen and provided him with the ability to bridge theoretical knowledge with industrial applications.

Research Interest

Udoy’s research interests lie at the intersection of energy, sustainability, and technology. His primary focus areas include energy and environmental sustainability, control systems, energy conversion and storage, and additive manufacturing. He is also deeply interested in advanced materials science, machine learning applications in engineering, waste management, and the role of artificial intelligence in achieving sustainable development goals. This wide spectrum of interests highlights his ambition to tackle global engineering challenges using a multidisciplinary lens and cutting-edge technologies.

Award

Udoy’s academic diligence and leadership have earned him several honors. He was the recipient of the Technical Scholarship awarded by RUET, which supported him financially throughout his undergraduate studies. Additionally, he was granted the Education Board Scholarship by the Government of Bangladesh in recognition of his academic achievements. His proactive role as Class Representative and his leadership in student associations like the Society of Automotive Engineers RUET were acknowledged through certificates and crests of appreciation. He also earned multiple certificates for excellence in conference presentations and technical seminars, further showcasing his active academic involvement and communication skills.

Publication

Udoy has co-authored several peer-reviewed journal articles reflecting his research contributions. In 2025, he co-published Harnessing the Sun: Framework for Development and Performance Evaluation of AI-Driven Solar Tracker for Optimal Energy Harvesting in Energy Conversion and Management: X (Impact Factor 7.1), focusing on AI-based solar optimization. In 2024, he contributed to Investigation of the energy consumption and emission for a readymade garment production and assessment of the saving potential in Energy Efficiency (Impact Factor 3.2), emphasizing sustainable apparel manufacturing. Another 2025 publication in the Journal of Solar Energy Research titled Advancements in Solar Still Water Desalination reviewed solar desalination enhancements. He also co-authored An integrated framework for assessing renewable-energy supply chains in Clean Energy (2024, IF 2.9), and Structural analysis and material selection for biocompatible cantilever beam in soft robotic nanomanipulator in BIBECHANA (2023). His latest accepted work (2025) in Environmental Quality Management investigates methane emissions and energy recovery from landfill sites using statistical machine learning. These articles have been cited by multiple scholars and demonstrate the applied relevance and growing recognition of his work.

Conclusion

Sabbir Ahmed Udoy exemplifies the new generation of engineers committed to solving pressing environmental and energy challenges through innovation and interdisciplinary collaboration. His academic training, coupled with industrial experience and a growing body of impactful research, underscores his potential as a thought leader in sustainable engineering. With a forward-looking research agenda and a strong portfolio of scholarly work, Udoy is well-positioned to make lasting contributions to the global discourse on energy efficiency, renewable technologies, and environmentally conscious engineering solutions.

Jia Kaiewei | Artificial Intelligence | Best Scholar Award

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Dr. Jia Kaiewei | Artificial Intelligence | Best Scholar Award

Professor at Liaoning Technical University, Huludao, China

Kaiwei Jia is an accomplished academician and researcher currently serving as a Professor and Doctoral Supervisor in the field of Management Science and Engineering. He also holds the role of Vice Dean at the School of Business Administration, Liaoning Technical University. His academic journey is marked by extensive contributions to teaching, research, and institutional development. As a core member of the Liaoning Provincial Teaching Guidance Committee for Finance, he plays a significant role in shaping the financial education framework in the region. With a background in Economics and Statistics, Professor Jia has emerged as a thought leader in financial econometrics and policy research. His career is defined by a blend of theoretical insight and empirical rigor, and he has guided numerous graduate and doctoral students in their academic endeavors. Through his sustained commitment to academic excellence and administrative leadership, he has made substantial contributions to the academic community and the broader field of finance and economics.

Profile

Scopus

Education

Kaiwei Jia’s educational background is deeply rooted in economics and statistics. He earned his Ph.D. in Economics after completing a rigorous postgraduate program that emphasized macroeconomic policy, financial analysis, and quantitative methods. Subsequently, he undertook postdoctoral research in Statistics, where he refined his understanding of data interpretation, econometric modeling, and the application of statistical methodologies to economic problems. This interdisciplinary training has provided him with a comprehensive toolkit for analyzing complex economic phenomena. His academic progression reflects a strong emphasis on research-driven education, equipping him with both theoretical and practical skills. His transition from postgraduate studies to postdoctoral research marked a significant shift in his academic career, allowing him to delve deeper into areas such as financial econometrics, risk modeling, and empirical policy analysis.

Experience

Throughout his career, Professor Jia has maintained an unwavering commitment to teaching and mentoring. He has designed and delivered undergraduate, master’s, and doctoral-level courses in Econometrics, Financial Risk Management, Financial Econometrics, and Financial Data Analysis. His lectures are known for their analytical depth and emphasis on real-world application, which have earned him the respect of both peers and students. Beyond the classroom, he has played a pivotal role in curriculum development and academic governance at Liaoning Technical University. As Vice Dean, he has led several institutional initiatives aimed at enhancing academic quality and fostering innovation in finance education. Additionally, his membership in the Liaoning Provincial Teaching Guidance Committee for Finance has enabled him to influence regional academic standards, ensuring that finance education remains aligned with contemporary global developments.

Research Interest

Professor Jia’s research interests span a diverse array of topics within economics and finance. He focuses on financial stability and risk management, particularly the dynamics of financial contagion and systemic risk. His work explores the governance and risk prevention mechanisms in financial institutions, combining institutional theory with quantitative modeling. Additionally, he is deeply engaged in the study of monetary policy theory and methodology, emphasizing both the rules-based and discretionary approaches to macroeconomic regulation. His research extends to econometric methods, where he utilizes advanced statistical techniques to analyze financial and economic data. More recently, he has contributed to emerging areas such as green finance and climate finance, investigating how environmental factors intersect with financial risk and investment decisions. His multidisciplinary research approach integrates macroeconomic theory, quantitative analysis, and policy insights.

Award

In recognition of his scholarly achievements and academic leadership, Professor Jia has received several prestigious awards. He was honored with the First Prize in the 7th Liaoning Provincial Outstanding Achievement Award in Statistical Sciences, which acknowledges innovative contributions in statistical research. He also received the Second Prize in the Liaoning Provincial Philosophy and Social Science Achievement Award for his impactful work in economics and financial policy. These accolades reflect both the quality and societal relevance of his research, highlighting his role as a leading scholar in his field. His award-winning work has contributed to enhancing the understanding of financial risk, policy formulation, and statistical analysis at both regional and national levels.

Publication

Kaiwei Jia has published more than 30 academic papers in respected journals indexed by SSCI and CSSCI. His recent works reflect his ongoing dedication to cutting-edge research. In 2023, he co-authored “Did the ‘double carbon’ policy improve the green total factor productivity of iron and steel enterprises? A quasi-natural experiment based on carbon emission trading pilot,” published in Frontiers in Energy Research, exploring policy impact through econometric analysis. In the same year, he contributed to Frontiers in Psychology with “Digital financial and banking competition network: Evidence from China,” which examined competitive dynamics using network models. His 2022 publications include “Construction and empirical of investor sentiment evaluation system based on partial least squares” and “Empirical research of risk correlation based on Copula function method,” both appearing in the Journal of Liaoning Technical University (Natural Science Edition). These studies utilized advanced statistical tools to analyze investor behavior and risk correlation. Another 2022 work titled “Spatiotemporal Evolution of Provincial Carbon Emission Network in China,” published on SSRN, tackled environmental finance issues using spatial network methods. These publications not only reflect his diverse expertise but also have been cited by multiple articles, indicating his work’s influence within the academic community.

Conclusion

In summary, Professor Kaiwei Jia’s academic career is characterized by a strong dedication to education, a robust portfolio of interdisciplinary research, and impactful contributions to financial policy and risk management. His dual expertise in economics and statistics has allowed him to bridge theoretical frameworks with empirical application, making his research both rigorous and relevant. Through his teaching, he has nurtured the next generation of economists and financial analysts, while his administrative leadership has helped shape academic standards in finance education. His scholarly output and recognition through awards reflect a sustained contribution to the academic and policy-making community. Professor Jia continues to explore innovative themes in green finance and systemic risk, ensuring that his research remains at the forefront of addressing contemporary economic challenges.

Mohitkumar Bhadla | Computer Science & Engineering | Best Researcher Award

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Assoc. Prof. Dr. Mohitkumar Bhadla | Computer Science & Engineering | Best Researcher Award

Associate Professor & HOD at Gandhinagar University, Gujarat, India

Dr. Mohit Bhadla is a dedicated academician and researcher with over 16 years of experience in the field of Computer Engineering and Information Technology. He currently serves as the Head of the Department and Professor at Gandhinagar University, Gandhinagar. Throughout his career, Dr. Bhadla has contributed significantly to research and education, focusing on emerging technologies, software development, and network security. His expertise extends to mentoring students, developing innovative research methodologies, and enhancing academic curricula. Passionate about advancing technological education, he actively participates in conferences, workshops, and international collaborations to further his knowledge and contribute to the global research community.

Profile

Orcid

Education

Dr. Mohit Bhadla earned his Ph.D. in Computer Engineering from Rai University, Ahmedabad, in 2019. Prior to that, he completed his Master of Engineering (M.E.) in Computer Engineering from Noble Group of Institutions, Junagadh, affiliated with Gujarat Technological University in 2013. He holds a Bachelor of Engineering (B.E.) degree in Computer Science and Engineering from Anuradha Engineering College, Chikhali, Maharashtra, which he obtained in 2009. His strong academic foundation has equipped him with the necessary skills to excel in both research and teaching domains.

Professional Experience

Dr. Bhadla has held several prestigious academic positions throughout his career. Since July 2024, he has been serving as the Head of the Department and Professor at Gandhinagar University, where he oversees research initiatives and academic programs. Prior to this, he was the Associate Professor and Dean of Research Cell at Swarnim Startup & Innovation University from August 2023 to July 2024, where he played a crucial role in research-led teaching and curriculum development. From September 2019 to August 2023, he worked as an Associate Professor and Head of the IT Department at Ahmedabad Institute of Technology. His earlier academic roles include serving as an Assistant Professor at Gandhinagar Institute of Technology and Noble Group of Institutions. In addition to his academic career, he has industry experience as a Support Engineer at Mindarray Systems Ltd from 2016 to 2017 and as a Programme Assistant at RTO Junagadh from 2009 to 2012.

Research Interests

Dr. Bhadla’s research focuses on artificial intelligence, machine learning, Internet of Things (IoT), network security, and biomedical applications. His work involves developing efficient algorithms for intrusion detection, biomedical imaging, data security, and optimizing power consumption in wireless sensor networks. He has also explored applications of deep learning in healthcare and social network analysis. His contributions to research have been recognized through various publications in reputed journals and conference proceedings. He is an active member of professional organizations such as IEEE, ACM, and IFERP, contributing to research discussions and technological advancements.

Awards and Achievements

Dr. Mohit Bhadla has received numerous accolades for his outstanding contributions to research and academia. In 2022, he was honored with the Best Researcher Award by INSO Bangalore. He was also recognized with the Best Young Researcher Award in the International Research Awards on New Science Invention in Fiber Optics & Communication in 2022. His innovative work in IoT and networking has led to multiple patents, including a patent for “An IoT-Based Sensor Network for Smart City Implementations” granted by the Government of Australia. Additionally, he has received invitations as a featured speaker at international conferences, including the Peers Alley Conference in London. His contributions to software malware detection and wireless sensor networks have been widely acknowledged in the research community.

Selected Publications

An Intelligent IoT Intrusion Detection System using HeInit-WGAN and SSO-BNM CNN-Based Multivariate Feature Analysis (2023) – Published in Elsevier: Engineering Application of Artificial Intelligence.

Enhanced Ubiquitous System Architecture for Securing Healthcare IoT using Efficient Authentication and Encryption (2023) – Published in International Journal of Data Science and Analytics.

Multi-Stage Biomedical Feature Selection Extraction Algorithm for Cancer Detection (2023) – Published in Springer Nature: Applied Science.

Semantic Analysis for Image Distribution of Various Edge Detection Techniques (2022) – Published in IJRAR (UGC Approved).

Deep Learning-Based Dynamic User Alignment in Social Networks (2023) – Published in ACM JDIQ (Scopus Indexed).

Execution of Hard C-Means Clustering Algorithm for Medical Image Separation (2022) – Published in IJRAR (UGC Approved).

A Survey of Intrusion and Detection Models on Network and Communication Topologies (2023) – Published in UGC Approved Journal.

Conclusion

Dr. Mohit Bhadla is a distinguished academician, researcher, and mentor in the field of Computer Engineering. His extensive contributions to research, innovative curriculum development, and passion for teaching have significantly impacted students and fellow researchers. With multiple patents, high-impact publications, and international recognition, he continues to drive advancements in artificial intelligence, IoT, and network security. His commitment to excellence and knowledge dissemination makes him a valuable asset to the academic and research community, inspiring future generations of scholars and professionals.

Nidhi Bhatia | Data-Driven Decision Making | Best Researcher Award

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Ms. Nidhi Bhatia | Data-Driven Decision Making | Best Researcher Award

Doctoral researcher at IIT DELHI, India

Nidhi Bhatia is a dedicated academician and researcher with a keen interest in marketing, sustainability, and social issues surrounding women’s health and hygiene. Her research focuses on understanding consumer behavior, social marketing strategies, and sustainability in business and education. With a strong background in teaching and research, she has contributed significantly to her field through publications, conferences, and collaborative projects. She is currently pursuing her Ph.D. in Marketing at the Department of Management Studies, IIT Delhi, under the supervision of Prof. Biswajita Parida.

Profile

Scopus

Education

Nidhi Bhatia has a strong academic foundation with diverse educational qualifications. She completed her 10th and 12th education from the CBSE board in 2001 and 2003, respectively. She earned a Bachelor of Science degree in Statistics, Mathematics, and Physics in 2006, followed by a Master of Science in Physics, Electronics, and Communication in 2008. She later pursued an MBA in Marketing and Human Resources in 2010. Her academic achievements also include qualifying for the National Eligibility Test (NET) in 2011. She enrolled in the Ph.D. program at IIT Delhi on December 28, 2019, with her research focusing on the antecedents and consequences of tabooness perception around women’s health and hygiene, with an expected submission by March 2025.

Experience

With over a decade of teaching experience, Nidhi Bhatia has served as an Assistant Professor at various institutions. She began her academic career at Radha Govind Engineering College (2010-2011) and later joined Meerut Institute of Engineering and Technology (2011-2016). From 2017 to 2019, she worked as a guest faculty member at the University of Petroleum and Energy Studies, Dehradun. Additionally, she has delivered Entrepreneurship Development Program (EDP) lectures at the National Institute for Entrepreneurship and Small Business Development (NIESBUD) in Noida and Dehradun. Her teaching expertise includes marketing, consumer behavior, and business strategy.

Research Interests

Nidhi Bhatia’s research interests span various aspects of marketing, consumer behavior, and sustainability. Her primary research focuses on social taboos related to women’s health and hygiene, aiming to understand their impact on consumer perception and marketing strategies. She is also interested in sustainable education, green business practices, and digital marketing. Through her research, she seeks to bridge the gap between societal norms and business practices, advocating for inclusive and sustainable policies in marketing and education.

Awards

Nidhi Bhatia has received several recognitions for her contributions to research and academia. She was awarded the Best Paper Award at the International Hybrid Conference on Diversity, Equity & Inclusion: Creating a Value-Based Sustainable Future at IILM Jaipur. Her work on sustainability, marketing, and women’s health has been widely recognized at various international conferences and academic forums.

Publications

Bhatia N., Parida B. (2024). “Taboo in Business and Society: Past, Present and Future.” Global Business Review (Under Review, Sage Publications).

Manchanda K., Bhatia N., Parida B. (2024). “Noteworthiness of Sustainable Education in Higher Education: A Qualitative Study.” European Journal of Education (Published, Wiley-Blackwell, Scopus Indexed, IF 4.5, Cite Score 2.8).

Bhatia N., Parida B. (2024). “Smart Cities’ Approaches to Menstrual Hygiene Management.” 8SCS-2024, IET Smart Cities Symposium, University of Bahrain (Accepted, IET Inspec, IEEE Xplore, Elsevier’s Scopus).

Bhatia N., Parida B. (2023). “Health is Wealth: Importance of Healthcare Management in Smart Cities.” 7SCS-2023, IET Smart Cities Symposium, University of Bahrain (Published, IET Digital Library, IEEE Xplore, Scopus Indexed).

Bhatia N., Manchanda K., Parida B. (2023). “Menstruation Effect on Well-Being: Exploring the Mediating Role of Physical Pain and Psychological Anguish.” ICISAS, Curtin University, Dubai (Published, Springer).

Bhatia N., Parida B. (2023). “Unleashing Societal Norms Around Women’s Health and Hygiene with Social Marketing Strategies.” ANZMAC 2023, New Zealand (Published, Conference Proceedings).

Bhatia N., Parida B. (2023). “Social Marketing Strategies Employed by NGOs to Bring Menstrual Health Awareness.” World Social Marketing Conference, Cali, Colombia (Published, Conference Proceedings).

Conclusion

Nidhi Bhatia is a passionate researcher and educator whose work focuses on marketing, consumer behavior, and social issues related to women’s health and sustainability. Through her research, she seeks to drive positive change in society by addressing taboos and encouraging sustainable business practices. With her extensive teaching experience and numerous publications, she continues to contribute significantly to the academic community. Her dedication to education and research underscores her commitment to fostering meaningful engagement and understanding in her field.

Ameni Chetouane | Computer Science | Best Researcher Award

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Dr. Ameni Chetouane | Computer Science | Best Researcher Award

Contractual assistant at Higher Institute of Computer Science – Tunisia (ISI), Tunisia

Ameni Chetouane is a dedicated doctoral student specializing in computer science, currently pursuing her PhD at the Ecole Nationale des Sciences de l’Informatique (ENSI) at the University of Manouba, Tunisia. Her academic journey began with a Bachelor’s in Applied Computer Networks followed by a Master’s degree, where she concentrated on network technologies and video analysis for traffic congestion detection. She is deeply involved in research aimed at securing Software Defined Networking (SDN) systems against cyber-attacks using Artificial Intelligence (AI) methods.

Profile

Orcid

Education

Ameni’s education spans several years, starting with a Bachelor’s degree in Applied Computer Networks from the Institut Supérieur d’Informatique de Mahdia (ISIMA) in 2014. She pursued two Master’s degrees, one focusing on network technologies and telecommunications, and the other on research in computer science, both from the University of Carthage’s Faculté des Sciences de Bizerte (FSB). Her doctoral studies, commenced in 2021, are focused on the application of AI for intrusion detection systems (IDS) in SDN environments, with a goal to combat cyber-attacks.

Experience

Ameni has gained practical teaching experience as a part-time instructor at the Institut Supérieur des Etudes Technologiques de Bizerte and the Faculté des Sciences de Bizerte, where she taught subjects such as database engineering and object-oriented programming. Her internships, including research at LaBRI, University of Bordeaux, and her professional project at Millénia Engineering, have allowed her to apply theoretical knowledge in real-world network and software development projects.

Research Interests

Ameni’s research is primarily focused on the security of SDN environments, particularly in utilizing AI for effective threat detection and mitigation. Her doctoral thesis specifically explores AI-driven solutions for securing SDN systems against Distributed Denial of Service (DDoS) attacks. She aims to improve the performance of IDSs by incorporating machine learning (ML) and continual learning methods into SDN security architectures, ensuring adaptive and real-time defenses against evolving threats.

Awards

Ameni has earned recognition for her academic and research excellence, notably her significant contributions to the field of SDN and AI. Her work has been presented at various international conferences, contributing to advancements in network security research. While specific awards are not listed, her impact within the academic community, through her publications and conference participations, is considerable.

Publications

Ameni Chetouane, Sabra Mabrouk, Imen Jemili, and Mohamed Mosbah. “A comparative study of vehicle detection methods in a video sequence.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2019.

Ameni Chetouane, Sabra Mabrouk, Imen Jemili, and Mohamed Mosbah. “Vision-based vehicle detection for road traffic congestion classification.” Concurrency and Computation: Practice and Experience, 2022.

Ameni Chetouane, Sabra Mabrouk, and Mohamed Mosbah. “Traffic congestion detection: Solutions, open issues, and challenges.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2020.

Ameni Chetouane and Kamel Karoui. “A survey of machine learning methods for DDoS threats detection against SDN.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2022.

Ameni Chetouane, Kamel Karoui, and Ghayth Nemri. “An intelligent ML-based IDS framework for DDoS detection in the SDN environment.” International Conference on Advances in Mobile Computing and Multimedia Intelligence, Springer, 2022.

Ameni Chetouane and Kamel Karoui. “DDoS detection approach based on continual learning in the SDN environment.” International Conference on Hybrid Intelligent Systems, Springer, 2022.

Ameni Chetouane and Kamel Karoui. “Risk-based intrusion detection system in Software Defined Networking.” Concurrency and Computation: Practice and Experience, 2023.

Conclusion

Ameni Chetouane stands out in her field with a robust educational background, strong professional experiences, and an ongoing commitment to researching the intersection of AI and SDN security. Through her published works, she has made significant contributions to securing networks using intelligent methods, focusing on solving complex cyber threats in modern network infrastructures. As she continues her research, her work promises to shape the future of AI-driven cybersecurity in SDN environments.