Bincy Kaluvilla | Artificial Intelligence | Best Academic Researcher Award

Published on by AI Data Scientist

Dr. Bincy Kaluvilla | Artificial Intelligence | Best Academic Researcher Award

Head of Academics at Learners University College | United Arab Emirates

Dr. Bincy B. Kaluvilla is an accomplished academic leader and researcher whose work bridges the disciplines of sustainable finance, hospitality management, and real estate investment. Her professional journey reflects a deep commitment to academic excellence, innovation, and the advancement of sustainability-focused business education. As an experienced higher education professional, she has played a transformative role in shaping curricula and fostering strategic partnerships that align academic programs with contemporary industry practices. Her teaching portfolio encompasses subjects such as Real Estate Finance, Hospitality Accounting, and Corporate Finance, delivered across international undergraduate and postgraduate programs. A Fellow of the Higher Education Authority (UK) and a CPA Australia member, she brings a strong foundation in finance and accounting to her academic leadership. Her scholarly contributions span peer-reviewed journals, book chapters, and international conferences, exploring topics including ESG reporting, sustainable investment, AI integration in hospitality, and the evolving intersections of culture, ethics, and finance. Notable among her works are publications in Frontiers in Computer Science, Asia Pacific Journal of Tourism Research, Performance Measurement and Metrics, and Journal of Open Innovation. She has also contributed to edited volumes published by Springer Nature, IGI Global, Emerald, and Elsevier. Beyond research and teaching, Dr. Kaluvilla has led numerous corporate training programs for leading organizations such as the Jumeirah Group and Omran Group, promoting financial literacy and leadership within the hospitality sector. Her contributions have been recognized globally through awards and invitations to serve as visiting faculty at institutions in Malta, Japan, and China. Through her research, teaching, and leadership, she continues to champion sustainability, innovation, and excellence in global higher education and industry practice.

Profile: Google Scholar

Featured Publications

Kaluvilla, B. B., Kalarikkal, S. A., & Thamilvanan, G. (2025). AI-driven extraction and intelligent retrieval of missionary archives in Malabar: Advancing preservation and accessibility with machine learning.

Mulla, T., Kaluvilla, B. B., Zahidi, F., Alsabbah, S., & Tantry, A. (2025). “Your house looks like that show…”: Exploring consumers’ perceptions towards media-inspired home décor.

Bouchon, F., Kaluvilla, B. B., & Kolmorgon, K. (2025). Sustainable luxury hospitality: A reality beyond antagonistic terms? Innovations and trends in Maldivian luxury resorts.

Thomsen, K., Kaluvilla, B. B., & Zahidi, F. (2025). Sustainable wildlife tourism: Government guidelines and lodge contributions in Zambia.

Kaluvilla, B. B. (2025). Review of The Routledge handbook of religious and spiritual tourism, by D. H. Olsen & D. J. Timothy.

Yousef Asadi | Artificial Intelligence | Best Paper Award

Published on by AI Data Scientist

Mr. Yousef Asadi | Artificial Intelligence | Best Paper Award

Master Degree at Bu Ali Sina University | Iran

Mr. Yousef Asadi is a dedicated electrical engineer and researcher whose academic and professional pursuits center on advancing power systems, smart grids, and sustainable energy technologies. With a master’s degree in electrical engineering specializing in power systems from Buali Sina University, his expertise bridges theoretical insight with practical application in energy optimization, control, and artificial intelligence. His scholarly contributions have significantly enriched the field, with impactful publications in top-tier journals such as the Journal of Energy Storage, International Journal of Electrical Power & Energy Systems, Energies, Applied Sciences, and IEEE Access. His works focus on developing intelligent frameworks for energy management, universal models for power converters, and adaptive neural control techniques for active power filters—reflecting a strong interdisciplinary command of power electronics, control theory, and computational intelligence. Asadi’s research interests span microgrid stability, distributed generation, and reinforcement learning-based optimization, positioning him at the forefront of innovation in clean and resilient energy systems. His experiences in teaching, software-hardware setup, and internships across power distribution and aviation electronics have strengthened his technical and analytical capabilities. Fluent in English, Persian, and Kurdish, he demonstrates effective communication across diverse professional environments. Known for his proficiency in MATLAB, Python, and electrical design software, he applies computational modeling and automation to solve real-world energy challenges. His continuous pursuit of advanced, sustainable solutions reflects a commitment to bridging academia and industry for the development of smarter, more efficient energy infrastructures. Through his research and technical acumen, Yousef Asadi exemplifies a new generation of engineers dedicated to transforming the global energy landscape through innovation and intelligent system design.

Profile: Scopus

Featured Publications

Mansouri, M., Eskandari, M., Asadi, Y., & Savkin, A. (2024). A cloud-fog computing framework for real-time energy management in multi-microgrid system utilizing deep reinforcement learning.

Asadi, Y., Eskandari, M., Mansouri, M., Moradi, M. H., & Savkin, A. V. (2023). A universal model for power converters of battery energy storage systems utilizing the impedance-shaping concepts.

Asadi, Y., Eskandari, M., Mansouri, M., Savkin, A. V., & Pathan, E. (2022). Frequency and voltage control techniques through inverter-interfaced distributed energy resources in microgrids

Asadi, Y., Eskandari, M., Mansouri, M., Chaharmahali, S., Moradi, M. H., & Tahriri, M. S. (2022). Adaptive neural network for a stabilizing shunt active power filter in distorted weak grids.

Mansouri, M., Eskandari, M., Asadi, Y., Siano, P., & Alhelou, H. H. (2022). Pre-perturbation operational strategy scheduling in microgrids by two-stage adjustable robust optimization.

Dr. Santosh Jagtap | AI and ML | Microsoft AI Award

Published on by AI Data Scientist

Dr. Santosh Jagtap | AI and ML | Microsoft AI Award

Assistant Professor, Prof. Ramkrishna More Arts, Commerce & Science College, India

Dr. Santosh Jagtap, Assistant Professor at Prof. Ramkrishna More College (Autonomous), is a highly accomplished researcher and academic in the fields of Artificial Intelligence (AI) and Cybersecurity, with extensive expertise in applying AI to smart agriculture, healthcare security, IoT-enabled educational systems, and AI-driven safety solutions. Dr. Jagtap holds advanced academic qualifications and has developed a distinguished research profile that emphasizes practical applications of emerging technologies to address societal challenges. His work integrates machine learning, blockchain, IoT, and real-time data processing, producing innovative solutions in areas such as intelligent irrigation systems, plant disease detection, AI-based emotion recognition for safety alerts, and secure healthcare frameworks. Over his career, Dr. Jagtap has contributed significantly to international research projects and collaborative studies, producing high-impact publications in reputed journals and conference proceedings, such as Materials Today: Proceedings, international conferences on electronics, computing, and applied AI. He has also been recognized for innovation through patent awards, notably for AI-based plant disease identification systems, reflecting his focus on technology transfer and real-world impact. Dr. Jagtap has played an active role in mentoring students, guiding research projects, and participating in professional networks that foster academic and technological growth. He has demonstrated a consistent record of research excellence, with a total of 78 citations across 4 Scopus-indexed publications and an h-index of 3, reflecting the growing impact of his work.

Profile: GOOGLE SCHOLAR | SCOPUS

Featured Publications

  • Jagtap, S. T., Phasinam, K., Kassanu. (2022). Towards application of various machine learning techniques in agriculture. Materials Today: Proceedings, 51, 793–797. 70 citations.

  • Jagtap, S. T., Thakar, (2021). A framework for secure healthcare system using blockchain and smart contracts. Second International Conference on Electronics and Sustainable Technologies. 22 citations.

  • Jagtap, S. T., Jagdale, K. C., & Thakar, C. M. (2023). Identification of plant disease device using artificial intelligence. IN Patent 391523-001. –

  • Pratiksha Bhise, D. S. J., & Jagtap, S. T. (2024). AI-driven emergency response system for women’s safety using real-time location and heart rate monitoring. IJRPR. –

  • Keskar,  A., Jagtap, S. T., et al. (2021). Big data preprocessing frameworks: Tools and techniques. Design Engineering, 1738–1746.

Dr. Manisha Nene | Artificial Intelligence | Best Researcher Award

Published on by AI Data Scientist

Dr. Manisha Nene | Artificial Intelligence | Best Researcher Award 

Seasoned Leader, Defence Institute of Advanced Technology, India

Dr. Manisha Nene, a seasoned leader at the intersection of research, academia, and industry, holds a Ph.D. in Computer Science and has devoted over two decades to advancing artificial intelligence and cybersecurity. Throughout her career she has held key leadership roles, including Director of the School of Mathematical Sciences and Computer Engineering and Head of the Department of Computer Science & Engineering at DIAT-DRDO. Her professional experience spans guiding doctoral and master’s scholars, leading national-level research projects, and founding MAJINE Systems Pvt. Ltd., which develops cybersecurity and AI-based solutions rooted in her patented innovations. Dr. Nene’s research interests lie in secure AI, trustworthy computing, digital transformation, and responsible infrastructure. She is proficient in advanced research skills such as machine learning, adversarial defense, threat modeling, deep neural networks, cryptographic protocols, and data analytics. Over her career she has received numerous awards, including IETE’s Smt. Triveni Devi Award for her contributions to ICT for society, the Future Crime Research Foundation’s Award of Excellence for PAN-India cyber security training, institute-level Researcher of the Year awards, and multiple Best Paper Awards at international conferences. Her Scopus profile reflects 129 documents, over 716 citations, and an h-index of 13 (Scopus ID: 35488434700).

profile: GOOGLE SCHOLAR | SCOPUS | ORCID 

Featured Publications

  • Nene, M. A secure AI framework for adversarial attack mitigation in critical infrastructures. (202, 45 citations)

  • Nene, M. Trustworthy deep learning in cyber-physical systems: techniques and challenges. (2022, 55 citations)

  • Nene, M. Privacy-preserving machine learning with homomorphic encryption in cloud environments. (2020, 38 citations)

  • Nene, M. Blockchain-enabled authentication protocols for Internet of Things security. (2019, 29 citations)

Prof. Dr. Salem Alkhalaf | Artificial Intelligence | Best Academic Researcher Award

Published on by AI Data Scientist

Prof. Dr. Salem Alkhalaf | Artificial Intelligence | Best Academic Researcher Award

Distinguished Researcher, Qassim University, Saudi Arabia

Prof. Dr. Salem Alkhalaf is a dynamic and accomplished researcher whose work spans information and communication technology, e-learning systems, and digital transformation. He holds a Ph.D. in Information and Communication Technology from Griffith University, supported by prior degrees in ICT and Computer Education. Prof. Dr. Salem Alkhalaf currently serves in senior academic and leadership roles at Qassim University, where he has steered initiatives in enterprise architecture, digital content management, and e-learning strategy. His research interests include collaborative learning environments, information quality in learning management systems, usability evaluation, and culturally adaptive educational technologies. He excels in research skills such as mixed methods design, structural equation modeling, system evaluation, cross-cultural adaptation, and large-scale empirical studies. He maintains an outstanding scholarly footprint: Scopus ID: 41661143900, with 2,021 citations across 1,885 documents, 179 published works, and an h-index of 23. His professional engagements include membership in IEEE, ACM, ACS, contributions as a reviewer and editorial board member, and leadership in national e-government and audit teams. Recognized through institutional awards, research grants, and best paper honors, he is committed to advancing scholarship, mentoring emerging researchers, and expanding global collaborations. Prof. Dr. Salem Alkhalaf combines visionary leadership with rigorous scholarship, making him a prominent figure positioned to drive future breakthroughs in AI, educational technology, and ICT research.

Profile: GOOGLE SCHOLAR | SCOPUS  | ORCID

Ms. Wenqing Bao | Computer Science | Best Researcher Award

Published on by AI Data Scientist

Ms. Wenqing Bao | Computer Science | Best Researcher Award

Ms. Wenqing Bao | Computer Science | The Home Depot | United States

Ms. Wenqing Bao is a highly skilled Data Analyst and Quantitative Researcher with expertise in SQL, Python, predictive analytics, and machine learning. With a strong foundation in finance, e-commerce, and customer insights, she has consistently demonstrated her ability to transform complex datasets into actionable strategies that drive business growth and operational efficiency. She possesses a unique blend of technical proficiency and analytical problem-solving, enabling her to design predictive models, automate data pipelines, and develop intelligent dashboards. Throughout her professional journey, she has collaborated with cross-functional teams to optimize pricing strategies, improve customer retention, and streamline business operations, establishing herself as a result-driven data specialist committed to innovation and excellence.

Professional Profile

SCOPUS

GOOGLE SCHOLAR

Summary of Suitability

Ms. Wenqing Bao is a highly skilled Data Analyst and Quantitative Researcher with a strong academic background and practical expertise in data science, machine learning, predictive analytics, and financial modeling. With a Master’s in Analytical Finance – Data Science from Emory University (GPA 4.0/4.0) and a Bachelor’s in Mathematics & Finance from The Ohio State University, she has demonstrated an exceptional ability to combine theoretical knowledge with real-world applications.Her research-oriented projects, innovative data-driven solutions, and application of advanced analytical techniques position her as a highly suitable candidate for the Best Researcher Award.

Education

Ms. Wenqing Bao holds a Master of Science in Analytical Finance – Data Science from Emory University, Goizueta Business School, where she achieved a perfect GPA of 4.0/4.0. Her rigorous training in data-driven finance, portfolio modeling, and machine learning enabled her to build a strong foundation in financial analytics and quantitative techniques. She also earned a Bachelor of Science with a double major in Mathematics and Finance from The Ohio State University, where she developed critical problem-solving skills, statistical modeling expertise, and financial risk assessment capabilities. This multidisciplinary background has equipped her with a deep understanding of both technical data science methodologies and business-focused decision-making.

Experience

Ms. Wenqing Bao brings a diverse professional background across logistics, finance, and technology, demonstrating her adaptability and leadership in analytical roles. At Americold Logistics, she serves as a Business Analyst, where she develops automated SQL scripts to extract and analyze performance data, enabling strategic site and customer profitability decisions. She has designed and implemented Power BI dashboards for real-time insights, conducted annual pricing analyses, and collaborated on profitability models, reducing analysis time by 50% and improving operational workflows.Previously, at Invesco, she worked as a Quantitative Researcher, conducting web scraping, portfolio back-testing, and Monte Carlo simulations to enhance investment performance. She developed an LSTM-based price prediction model in Python, improving forecasting accuracy and optimizing portfolio returns.As a Product Data Analyst at HIWOO LLC, she built an ETL pipeline for multi-client data integration and visualization using Tableau, achieving a 12% improvement in customer retention and identifying opportunities that drove a 50% increase in service enrollments. At American Yuncheng Gravure Cylinder, she analyzed large datasets, created dashboards for tracking business KPIs, and contributed to $1M in cost savings through actionable insights.

Research Interests

Ms. Wenqing Bao research focuses on predictive modeling, financial risk analytics, and customer behavior analysis. She is passionate about developing machine learning models for credit risk prediction, portfolio optimization, and customer segmentation. Her academic and professional work explores applying AI-driven techniques to enhance decision-making in finance, logistics, and e-commerce. With growing expertise in time-series forecasting, neural networks, and natural language processing, she aims to bridge the gap between advanced data science methodologies and real-world business applications.

Awards

Ms. Wenqing Bao has been consistently recognized for her academic excellence, professional impact, and analytical contributions. Her achievements include outstanding academic performance, excellence in predictive modeling, and impactful contributions to data-driven decision-making. She has received recognition for developing advanced pricing models, implementing data automation pipelines, and creating innovative dashboards that enhanced business performance. Her work reflects a strong commitment to leveraging data science to deliver measurable outcomes and support organizational growth.

Publication Top Notes

Innovative application of artificial intelligence technology in bank credit risk management
Year: 2024
Citations: 26

Research on the application of data analysis in predicting financial risk
Year: 2024
Citations: 24

The challenges and opportunities of financial technology innovation to bank financing business and risk management
Year: 2024
Citations: 22

Customer-centric AI in banking: Using AIGC to improve personalized services
Year: 2024
Citations: 17

Application progress of natural language processing technology in financial research
Year: 2024
Citations: 17

Conclusion

Ms. Wenqing Bao is an accomplished data analyst and quantitative researcher whose expertise bridges the fields of data science, finance, and predictive analytics. Her career demonstrates a proven record of success in automating processes, optimizing decision-making, and delivering actionable insights that drive performance and growth. With a strong academic foundation, diverse professional experience, and impactful research contributions, she stands out as an innovative problem-solver dedicated to advancing data-driven strategies across industries. Her achievements reflect not only technical mastery but also a commitment to applying advanced analytics to create tangible business value, making her a highly deserving candidate for prestigious research and professional awards.

Assoc. Prof. Dr. Dexin Hu | Artificial Intelligence Awards | Best Researcher Award

Published on by AI Data Scientist

Assoc. Prof. Dr. Dexin Hu | Artificial Intelligence Awards | Best Researcher Award

Assoc. Prof. Dr. Dexin Hu | Tianjin university | China

Assoc. Prof. Dr. Dexin Hu is an accomplished Associate Professor at the School of Education and the Institute of Emerging Engineering Education at Tianjin University. As a distinguished scholar in the field of higher engineering education, he has made remarkable contributions through his extensive research, innovative ideas, and dedication to improving educational practices and policies. Over the years, his work has focused on shaping the future of engineering education, exploring the intersections of education policy, program evaluation, and innovation-driven curriculum design. With more than 120 publications in CSSCI and SSCI-indexed journals and over 1,800 citations, Assoc. Prof. Dr. Dexin Hu is recognized as a leading expert whose research has significantly influenced both academic discourse and policy formulation in the realm of higher education.

Professional Profile

SCOPUS

Summary of Suitability

Assoc. Prof. Dr. Dexin Hu, Associate Professor at the School of Education / Institute of Emerging Engineering Education, Tianjin University, is a highly accomplished scholar with a strong research background in Higher Engineering Education, Education Policy, and Evaluation. Holding a Ph.D. in Management, he has demonstrated sustained academic excellence and significant contributions to advancing the field of education.

Education

Assoc. Prof. Dr. Dexin Hu holds a Doctor of Philosophy (Ph.D.) in Management, equipping him with a strong foundation in policy analysis, organizational dynamics, and education management. His academic journey has been defined by a pursuit of excellence, combining theoretical knowledge with practical applications to improve higher education systems. Through his doctoral research, he developed a deep understanding of institutional governance, quality assurance mechanisms, and strategic policy frameworks that shape the development of modern engineering education worldwide.

Experience

Currently serving as an Associate Professor at Tianjin University, Assoc. Prof. Dr. Dexin Hu brings a wealth of academic and professional expertise to his teaching and research. Over the years, he has contributed significantly to curriculum development, innovative teaching methodologies, and policy-driven reforms in engineering education. His leadership within the Institute of Emerging Engineering Education has helped bridge the gap between traditional teaching methods and emerging interdisciplinary approaches, ensuring that graduates are well-prepared for the demands of a rapidly evolving technological landscape. Beyond teaching, Assoc. Prof. Dr. Dexin Hu has actively engaged in collaborative projects with national and international institutions, enhancing cross-cultural academic exchanges and contributing to global educational development initiatives.

Research Interests

Assoc. Prof. Dr. Dexin Hu research is primarily centered on higher engineering education, education policy, and program evaluation. He explores how engineering education systems can adapt to new industrial and societal needs, integrating innovative technologies, interdisciplinary knowledge, and competency-based learning frameworks. His studies often focus on institutional performance, teaching quality assessment, and the development of educational models that foster creativity, innovation, and problem-solving skills among students. Additionally, his research provides evidence-based insights that influence decision-making processes at both institutional and policy levels, contributing to the advancement of engineering education standards in China and beyond.

Awards

Assoc. Prof. Dr. Dexin Hu has been recognized for his outstanding contributions to educational research and academic development. His achievements include several awards for research excellence, innovative teaching, and impactful publications. These recognitions highlight his role as a thought leader and underscore his commitment to advancing higher education quality and research impact. His active involvement in academic committees and editorial boards further reflects his influence in shaping educational research trends and standards.

Publication Top Notes

Effect of AI-Based Learning on Students’ Computational Thinking Development: Evidence From a Meta-Analysis

Conclusion

Assoc. Prof. Dr. Dexin Hu career reflects a remarkable blend of academic rigor, research innovation, and educational leadership. His contributions have transformed the understanding and practice of higher engineering education, influencing not only academic institutions but also broader policy frameworks. Through his extensive publications, teaching excellence, and collaborative initiatives, he has built a reputation as one of the foremost scholars in his field. His research continues to inspire new approaches to curriculum design, policy evaluation, and institutional governance, ensuring that engineering education remains relevant and responsive to societal and technological needs. With his strong record of scholarly achievements, impactful publications, and dedication to educational reform, Assoc. Prof. Dr. Dexin Hu stands out as a deserving candidate for recognition through the Best Researcher Award.

Dr. Konstantinos Kotsidis | Artificial Intelligence | Best Researcher Award

Published on by AI Data Scientist

Dr. Konstantinos Kotsidis | Artificial Intelligence | Best Researcher Award

Dr. Konstantinos Kotsidis | University of Crete | Greece

Dr. Konstantinos Kotsidis is a dedicated postdoctoral researcher whose work bridges artificial intelligence and education with a strong focus on advancing human-centered pedagogical practices. With a solid academic foundation and extensive professional experience, his contributions have consistently demonstrated a commitment to fostering creativity, critical thinking, and innovation in learning environments. He combines scholarly expertise with practical classroom application, leading to impactful educational reforms, research outputs, and international collaborations. His work continues to inspire and support both learners and educators through the responsible integration of artificial intelligence into teaching and learning.

Professional Profile

ORCID

GOOGLE SCHOLAR

Summary of Suitability

Dr. Konstantinos Kotsidis is a highly promising and impactful researcher whose work at the intersection of Artificial Intelligence and Education positions him as an outstanding candidate for the Best Researcher Award. With a PhD in Education and extensive experience in the integration of AI technologies into primary and early childhood education, he has demonstrated a unique ability to bridge theory and practice. His impressive research record—comprising 19 published books, 14 journal papers, and 7 editorial appointments—reflects both academic depth and international recognition.

Education

His academic journey reflects a clear dedication to the intersection of education and technology. He earned a PhD in Education with a specialization in the integration of artificial intelligence and educational technologies into early childhood and primary education. This advanced research was preceded by a Master’s degree in Innovative Pedagogy, where he deepened his understanding of creative teaching methodologies and modern learning frameworks. His foundation in pedagogy was first established through a Bachelor’s degree in Education, which laid the groundwork for his dual focus on teaching practice and academic research. This blend of qualifications has equipped him with the tools to transform classrooms into spaces that balance theory, research, and innovation.

Experience

Professionally, Dr. Konstantinos Kotsidis has over a decade of experience as both a teacher and teacher trainer. His classroom practice allowed him to refine methods of learner-centered instruction, while his training roles have helped over two hundred educators adopt modern technological tools in teaching. Beyond teaching, he has actively collaborated with national and international research teams to develop and implement frameworks for integrating artificial intelligence into education. His professional engagements include working with primary and early childhood education institutions on designing AI-driven teaching scenarios, as well as participating in joint projects with teacher training organizations to promote innovative, human-centered pedagogy. His combination of theoretical depth and practical application positions him as a thought leader in the application of artificial intelligence in educational contexts.

Research Interests

Dr. Konstantinos Kotsidis primary research interests are situated within human-centered artificial intelligence in education, where he investigates how intelligent systems can meaningfully support teaching and learning without diminishing the human role. Another key area of his work is teacher professional development, with a focus on building confidence and competence in applying AI applications in classrooms. He also engages deeply in research surrounding eLearning and distance learning, seeking to enhance access, personalization, and equity in digital education. Through his contributions, he envisions educational systems where technology empowers rather than replaces human creativity, making teaching more effective, adaptable, and inclusive.

Award

The scope of his contributions and innovations has earned him recognition for excellence in educational research and technology integration. His work on designing comprehensive pedagogical frameworks for human-centered AI in education, leading impactful teacher training programs, and publishing widely in peer-reviewed journals has positioned him as a distinguished candidate for research-focused awards. His achievements highlight not only scholarly significance but also measurable community impact in advancing education.

Publication Top Notes

    • The Challenges of Web 2.0 for Education in Greece: A Review of the Literature
      Year: 2013
      Citations: 25

    • The contribution of training needs assessment to teacher training: Comparative Interpretation of Results
      Year: 2010
      Citations: 11

    • Human–Centered Artificial Intelligence in Education. The critical role of the educational community and the necessity of building a holistic pedagogical framework for the use
      Year: 2024
      Citations: 8

    • Distance Teacher Training in Periods of Emergency (COVID-19 Pandemic)
      Year: 2021
      Citations: 5

    • The pedagogical use of Web 2.0 applications in teacher training, with emphasis on
      Year: 2015
      Citation5

    • Pedagogical Design and Implementation of a Distance Education Program for Teachers: The Use of Web 2.0 in the Modern School with an Emphasis on Collaboration
      Year: 2017
      Citations: 3

Conclusion

Dr. Konstantinos Kotsidis represents an outstanding example of a scholar who effectively merges research and practice to transform educational experiences. His academic achievements, professional service, and research contributions have significantly influenced both local and international educational landscapes. By developing frameworks for human-centered AI use, training hundreds of educators, and publishing widely, he has demonstrated a sustained commitment to shaping the future of education. His work is not only about integrating technology but also about ensuring that its application respects and enhances the human dimensions of teaching and learning. With his innovative vision and practical contributions, he is highly suitable for recognition through a prestigious award nomination in the field of research and education.

Preethi Iype | Neural Networks | Best Researcher Award

Published on by AI Data Scientist

Mrs. Preethi Iype | Neural Networks | Best Researcher Award

Asst. Professor at St. Thomas Institute for Science and Technology, India

Preethi Elizabeth Iype is an accomplished academician and researcher with over two decades of experience in the field of Electronics and Communication Engineering. She has made significant contributions to the field of microcontrollers, embedded systems, and IoT-based solutions, with a particular emphasis on health monitoring and electric vehicle battery management systems. Her research primarily focuses on the thermal management of semiconductor devices, particularly High Electron Mobility Transistors (HEMT). Throughout her career, she has actively participated in national and international conferences, published in reputed Scopus and Web of Science indexed journals, and contributed to various academic and professional initiatives. She currently serves as an Assistant Professor at St. Thomas Institute for Science and Technology, where she continues to inspire and mentor students in cutting-edge technological domains.

Profile

Scopus

Education

Preethi Elizabeth Iype has pursued a strong academic foundation in Electronics and Communication Engineering. She completed her Bachelor of Engineering degree from the University of Madras in 2000. Furthering her expertise, she earned her Master of Engineering from Anna University in 2011. Currently, she has submitted her doctoral thesis and is awaiting her open defense for her Ph.D. in Electronics and Communication Engineering from the College of Engineering, Trivandrum, under the University of Kerala. Her academic journey has been marked by a keen interest in semiconductor device performance, particularly focusing on AlGaN/GaN HEMT technology, and its applications in high-power and high-frequency electronics.

Professional Experience

Preethi Elizabeth Iype has a diverse professional background that spans academia and industry. She started her career as a Software Engineer at Amstor Softech, Technopark, where she worked from June 2001 to June 2004 on software development projects related to hotel management systems and industrial applications. Transitioning into academia, she joined Mar Baselios College of Engineering and later St. Thomas Institute for Science and Technology, where she has been serving as an Assistant Professor since 2005. Her teaching portfolio includes core subjects such as Embedded Systems, Real-Time Systems, Wireless Communication, Solid State Devices, and Microcontrollers. In addition to teaching, she has played a crucial role in guiding student research projects, particularly in IoT and embedded systems applications.

Research Interests

Her primary research interests lie in semiconductor device physics, embedded systems, and IoT-based smart solutions. Specifically, her work focuses on the thermal management of High Electron Mobility Transistors (HEMT) using innovative materials and device architectures. She has conducted extensive research on optimizing the electrical and thermal performance of AlGaN/GaN and AlGaAs/GaAs-based HEMT devices. Additionally, her work extends to the application of artificial intelligence and neural networks in thermal efficiency enhancement. Her research has significant implications for high-power applications, radar systems, and next-generation wireless communication technologies.

Awards and Recognitions

Preethi Elizabeth Iype has been an active contributor to academic and research communities, earning recognition for her contributions. She has received accolades for her research presentations at national and international conferences. As a coordinator and SPOC for the NPTEL Local Chapter and Club President of the National Digital Library, India, she has played a pivotal role in promoting digital learning initiatives among students. Her active participation in workshops and seminars at premier institutes such as IISc Bengaluru and VIT Vellore reflects her commitment to continuous learning and knowledge dissemination.

Selected Publications

Preethi Elizabeth Iype, Dr. Anju S, Dr. V Suresh Babu (2021). “Temperature Dependent DC and AC Performance of AlGaN/GaN HEMT on 4H-SiC.” IEEE Conference Series (ICECCT 2021), DOI: 10.1109/ICECCT52121.2021.961668. Cited by: Multiple IEEE articles.

Preethi Elizabeth Iype, Dr. Geenu Paul, Dr. V Suresh Babu (2021). “Thermal and Electrical Performance of AlGaAs/GaAs based HEMT device on SiC substrate.” Journal of Physics: Conference Series, IOP Publishing, DOI: 10.1088/1742-6596/2070/1/012057. Cited by: Various research papers in semiconductor physics.

Preethi Elizabeth Iype, Dr. Geenu Paul, Dr. V Suresh Babu (2024). “Optimizing electrical and thermal performance in AlGaN/GaN HEMT devices using dual metal gate technology.” Heat Transfer, WILEY, DOI: 10.1002/htj.23099. Cited by: Emerging studies in heat transfer and semiconductor devices.

Preethi Elizabeth Iype, Dr. Geenu Paul, Dr. V Suresh Babu (2024). “Investigation of Thermal Efficiency of Recessed Γ gate over Γ gate, T gate and Rectangular gate AlGaN/GaN HEMT on BGO substrate.” Microelectronics Reliability, Elsevier, DOI: 10.1016/j.microrel.2024.115522. Cited by: Recent works on HEMT technology and reliability.

Preethi Elizabeth Iype, Dr. Geenu Paul, Dr. V Suresh Babu (2024). “Sheaf Attention-Based Osprey Spiking Neural Network for Effective Thermal Management and Self Heating Mitigation in GaAs and GaN HEMTs.” Heat Transfer, WILEY, DOI: 10.1002/htj.23099. Cited by: Studies on AI-based thermal efficiency improvements.

Conclusion

Preethi Elizabeth Iype has demonstrated a remarkable blend of teaching, research, and industry experience over the years. Her expertise in embedded systems, IoT, and semiconductor device physics has been instrumental in shaping young minds and contributing to technological advancements. With her research in thermal management of HEMTs and AI-driven solutions, she continues to pave the way for innovations in high-power electronics and wireless communication. Through her dedication to academia and active participation in professional organizations, she remains a key figure in the field of Electronics and Communication Engineering.

Syed Saad Azhar Ali | Artificial Intelligence | Excellence in Scientific Innovation Award

Published on by AI Data Scientist

Assoc. Prof. Dr. Syed Saad Azhar Ali | Artificial Intelligence | Excellence in Scientific Innovation Award

Assoc. Prof. Dr. Syed Saad Azhar Ali, Associate Professor, Saudi Arabia.

Dr. Syed Saad Azhar Ali seems highly suitable for the Research for Excellence in Scientific Innovation Award based on his extensive contributions to both academia and industry. Here are several key reasons why he qualifies:

Profile

Orcid

🎓 Education

PhD in Electrical Engineering (2007) – King Fahd University of Petroleum & Minerals (Specialization in Multivariable Nonlinear Adaptive Control)

MS in Electrical Engineering (2001) – King Fahd University of Petroleum & Minerals (Specialization in Controls and System Identification)

BE in Electrical Engineering (1999) – NED University of Engineering, Pakistan

👨‍🏫 Academic and Research Leadership

Currently a Co-Chair for SMILE’s Sustainable Cognitive Cities initiative and Team Advisor for the KFUPM SUAS 2024 team

Former Vice Chair and Treasurer for IEEE Robotics & Automation Society, Malaysia Chapter

Coordinator for the MX Program in Unmanned Aircraft Systems at KFUPM

Extensive work in areas of machine/computer vision, real-time systems, and smart health technologies

🏆 Awards and Recognition

Team Advisor for the SUAS 2024 championship-winning team, KFUPM

Multiple medals from ITEX, MTE, and SEDEX

Recognized by IEEE RAS, Malaysia, with Service and Excellence Awards

💼 Professional Affiliations

Senior Member of IEEE

Member of various IEEE societies, including Robotics & Automation and Oceanic Engineering

Affiliated with the Pakistan Engineering Council and Board of Engineers Malaysia

🌍 International Collaborations

Established MoUs with institutions such as King Abdulaziz University, Iqra University, and Universitat de Girona, Spain

📚 Publications 

Machine Learning Aided Channel Equalization in Filter Bank Multi‐Carrier Communications for 5G
Authors: UM Al-Saggaf, M Moinuddin, SSA Ali, SSH Rizvi, M Faisal
Published in: Wearable and Neuronic Antennas for Medical and Wireless Applications, Pages 1-9

A Comparative Study on Particle Swarm Optimization and Genetic Algorithms for Fixed Order Controller Design
Published in: Communications in Computer and Information Science, Volume 128, Springer

Block-Oriented Identification of Nonlinear Systems: Neural Network Approach towards Identification of Hammerstein and Wiener Models
Author: Syed Saad Azhar Ali
Published by: LAP Lambert Academic Publishing, ISBN: 978-3838335575, February 2010

U-model Based Control: Adaptive Control Approach for Multivariable Nonlinear Systems
Author: Syed Saad Azhar Ali
Published by: LAP Lambert Academic Publishing, ISBN: 978-3838323299, November 2009

Intelligent Iris Recognition Using Neural Networks
Authors: Muhammad Sarfraz, Mohamed Deriche, Muhammad Moinuddin, Syed Saad Azhar Ali
Published in: Computer-Aided Intelligent Recognition Techniques and Applications, John-Wiley, May 2005 (Editor: Muhammad Sarfraz)