Dugki Min | Machine Learning and AI Applications | Best Researcher Award

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Prof Dr. Dugki Min | Machine Learning and AI Applications | Best Researcher Award

Konkuk University | South Korea

Prof. Dr. Dugki Min is a distinguished academic and thought leader in the field of computer science and artificial intelligence. Currently serving as a Full Professor at the Department of Computer Science and Engineering, College of Engineering, and Department Head of Artificial Intelligence at the General Graduate School of Konkuk University, Seoul, South Korea, he has dedicated nearly three decades to education, research, and innovation. His multidisciplinary expertise, encompassing software engineering, intelligent systems, distributed computing, and AI-based smart city applications, positions him as a pioneer in shaping Korea’s digital transformation and global technology collaborations.

Professional Profiles

SCOPUS

ORCID

GOOGLE SCHOLAR

Education

Prof. Min holds a Ph.D. and M.S. in Computer Science from Michigan State University, USA, where he developed a strong foundation in systems architecture and distributed computing. He completed his undergraduate studies in Industrial Engineering at Korea University. His education spans both technical and applied domains, enabling a balanced approach to both theoretical advancements and practical innovations.

Experience

Since joining Konkuk University in 1995, Prof. Min has held several leadership roles, including Research Director of the Distributed Multimedia Lab and Department Head for multiple programs in both the College of Engineering and the General Graduate School. His international academic footprint includes appointments as Visiting Professor at Pacific State University, USA, and Vanderbilt University. Beyond academia, he has significantly influenced industry practices through advisory roles at Samsung Electronics, national IT committees, and standardization bodies such as OASIS and the National Information Society Agency. His longstanding contributions to Korea’s software and simulation societies have solidified his reputation as a key figure in technological policymaking and industry collaboration.

Research Interest

Prof. Min’s research focuses on secure, intelligent, and scalable computing systems. His work spans artificial intelligence, distributed multimedia systems, digital twin technologies, edge-cloud computing, disaster-resilient smart cities, and cyber-physical systems. He leads major government-funded projects including AI-based public safety frameworks and digital twin applications for smart urban air mobility (UAM). His current projects emphasize the convergence of AI, bio-inspired frameworks, and real-time urban analytics to develop resilient, adaptive systems for modern cities. He has also delved into IPFS, blockchain, and biometric authentication, driving forward novel approaches in cybersecurity and information infrastructure.

Awards and Recognition

Prof. Min’s contributions have been recognized through numerous research grants and leadership roles in prestigious international conferences, including the International Conference on IT Promotion in Asia and the International Semantic Web Conference. His role as Program Chair and Steering Committee Member across multiple academic and government platforms highlights his global impact. Additionally, his collaborations with government ministries such as the Ministry of Science and ICT have resulted in pivotal national R&D programs, affirming his status as a trusted thought leader in AI and future mobility solutions.

Publications

Enhancing data harvesting systems: Performance quantification of Cloud–Edge-sensor networks using queueing theory

Authors: Jose Wanderlei Rocha, Eder Gomes, Vandirleya Barbosa, Arthur Sabino, Luiz Nelson Lima, Gustavo Callou, Francisco Airton Silva, Eunmi Choi, Tuan Anh Nguyen, Dugki Min et al.
Journal: ICT Express
Year: 2025

DDS-P: Stochastic models based performance of IoT disaster detection systems across multiple geographic areas

Authors: Israel Araújo, Luis Guilherme Silva, Carlos Brito, Dugki Min, Jae-Woo Lee, Tuan Anh Nguyen, Erico Leão, Francisco A. Silva
Journal: ICT Express
Year: 2025

Transactional dynamics in hyperledger fabric: A stochastic modeling and performance evaluation of permissioned blockchains

Authors: Carlos Melo, Glauber Gonçalves, Francisco Airton Silva, Iure Fé, Ericksulino Moura, André Soares, Eunmi Choi, Dugki Min, Jae-Woo Lee, Tuan Anh Nguyen
Journal: ICT Express
Year: 2025

Multi-head Fusion-based Actor-Critic Deep Reinforcement Learning with Memory Contextualisation for End-to-End Autonomous Navigation

Authors: Seunghyeop Nam, Tuan Anh Nguyen, Eunmi Choi, Dugki Min
Journal: TechRxiv (Preprint)
Year: 2025

Aerial computing: Enhancing mobile cloud computing with unmanned aerial vehicles as data bridges—A Markov chain based dependability quantification

Authors: Francisco A. Silva, Iure Fé, Carlos Brito, G. Araujo, L. Feitosa, Tuan Anh Nguyen, K. Jeon, J.-W. Lee, Dugki Min, Eunmi Choi
Journal: ICT Express
Year: 2024

Deep learning methods for high-level control using object tracking

Authors: Kanmani P., Yuvaraj N., Karthic S., Sri Preethaa K.R., Dugki Min
Journal: Book Chapter in Urban Air Mobility: Intelligent, Safe and Sustainable Systems for Future Transportation
Year: 2024

Efficient Strategies for Unmanned Aerial Vehicle Flights: Analyzing Battery Life and Operational Performance in Delivery Services using Stochastic Models

Authors: Francisco A. Silva, Vandirleya Barbosa, Luiz Nelson Lima, Arthur Sabino, Paulo Rego, Luciano F. Bittencourt, J. Lee, Dugki Min, Tuan Anh Nguyen
Journal: IEEE Access
Year: 2024

Energy Consumption in Microservices Architectures: A Systematic Literature Review

Authors: Gabriel Araújo, Vandirleya Barbosa, Luiz Nelson Lima, Arthur Sabino, Carlos Brito, Iure Fé, Paulo Rego, Eunmi Choi, Dugki Min, Tuan Anh Nguyen et al.
Journal: IEEE Access
Year: 2024

Conclusion

Prof. Dr. Dugki Min exemplifies academic excellence, innovative research, and impactful leadership in computer science and artificial intelligence. His ability to merge theory with application has led to the creation of intelligent systems that address real-world challenges—from traffic prediction and public safety to accessibility and secure computing. With a prolific record of publications, patents, and technology transfer initiatives, he continues to push the boundaries of smart system design and AI integration in urban and industrial ecosystems. His forward-thinking vision, combined with strong collaboration across academia, government, and industry, ensures his enduring influence in Korea and beyond.

Yuanxuan Cai | Healthcare Data Analysis | Best Researcher Award

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Ms. Yuanxuan Cai | Healthcare Data Analysis | Best Researcher Award

Ms. Yuanxuan Cai | Healthcare Data Analysis Huazhong University of Science and Technology | China

Ms. Yuanxuan Cai is a dedicated doctoral candidate in Pharmacy at Huazhong University of Science and Technology, with a strong academic background in pharmacoepidemiology and drug safety. Her research focuses on adverse drug event (ADE) risk assessment, pediatric pharmacovigilance, and neural network-based drug safety models. Yuanxuan has co-authored several peer-reviewed publications and contributed to multiple national and provincial research projects. She is highly skilled in data analysis, coding, and drug safety evaluation. With a passion for mental health and healthcare policy, she aims to improve public health outcomes through data-driven decision-making in clinical pharmacology and post-marketing drug surveillance.

Professional Profile

SCOPUS

Education 

Yuanxuan Cai is currently pursuing her Ph.D. in Pharmacy at Huazhong University of Science and Technology, Her coursework includes health policy, hospital management, and metrology analysis. She earned her Bachelor of Science in Pharmacy from the same university completing courses in medical statistics, pharmacology, and pharmaceutics. Throughout her academic journey, she has consistently demonstrated excellence in both theoretical and applied pharmaceutical sciences, receiving multiple scholarships and recognitions. Her educational background equips her with a strong foundation for advanced research in clinical drug safety and public health policy.

Professional Experience 

Ms. Cai has extensive experience participating in multiple high-impact research projects supported by the National Natural Science Foundation of China (NSFC) and provincial programs. Her work includes designing project frameworks, managing large-scale ADE data, performing signal detection using Python and SQL, and applying neural network models to evaluate drug safety. She has played key roles in studies on pediatric medications, oxaliplatin toxicity, and cephalosporin use in children. Yuanxuan is proficient in real-world data analysis, database management, and pharmacovigilance system development. Her hands-on experience with interdisciplinary teams reflects a commitment to improving healthcare safety through evidence-based approaches.

Awards and Recognition 

Yuanxuan Cai has received numerous accolades for her academic excellence and research contributions. These include the prestigious National Postgraduate Scholarship (2021), a continuous Postgraduate Academic Scholarship (2020–2024), and the Merit Student Award (2021). She also secured the 3rd Prize in the “Outstanding Knowledge and Action” competition and the 2nd Prize in the Qiaokou Innovation Scholarship (2022). As an undergraduate, she was honored with the Science and Technology Innovation Scholarship twice and was named an Outstanding Graduate in 2022. These recognitions highlight her commitment to academic rigor, innovation, and impactful research in pharmaceutical sciences.

Research Skills 

Yuanxuan Cai is proficient in advanced research methodologies, particularly in pharmacoepidemiology and big data analysis. She has hands-on experience with data cleaning and signal detection in ADE databases using Python and SQL. Her skill set includes constructing neural network models and applying logistic regression for predictive drug safety assessments. She has effectively used social network analysis and the Delphi method in pharmacovigilance research. Her coding proficiency extends to R for statistical analysis. Yuanxuan’s interdisciplinary expertise enables her to manage large datasets, evaluate drug combinations, and contribute meaningfully to clinical safety decision-making and public health improvement.

Publications

Suspected Adverse Drug Reactions Related to Statins: Analysis of Spontaneous Reports in Hubei Province, China (2014–2022)

  • Authors: Wang H, Bi H, Shangguan X, Chen Z, Huang R, Chen X, Cai Y*

  • Journal: Expert Opinion on Drug Safety

  • Year: 2025 (Accepted)

Predictive Model of Oxaliplatin-induced Liver Injury Based on Artificial Neural Network and Logistic Regression

  • Authors: Huang R, Cai Y, He Y, Yu Z, Zhao L, Wang T, et al.

  • Journal: Journal of Clinical and Translational Hepatology

  • Year: 2023

Risk Factors for Oxaliplatin-induced Hypersensitivity Reaction in Patients with Colorectal Cancer

  • Authors: Song Q, Cai Y, Guo K, Li M, Yu Z, Tai Q, et al.

  • Journal: American Journal of Translational Research

  • Year: 2022

Status and Safety Signals of Cephalosporins in Children: A Spontaneous Reporting Database Study

  • Authors: Cai Y, Yang L, Shangguan X, Zhao Y, Huang R

  • Journal: Frontiers in Pharmacology

  • Year: 2021

Safety of Traditional Chinese Medicine Injection Based on Spontaneous Reporting System from 2014 to 2019 in Hubei Province, China

  • Authors: Huang R, Cai Y, Yang L, Shangguan X, Ghose B, Tang S

  • Journal: Scientific Reports

  • Year: 2021

Mohammad Zahid | Cybersecurity Data Analysis | Young Scientist Award

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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

Mikhail Zabezhaylo | Data Mining | Worldwide Innovation in Research Analytics Award

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Prof Dr. Mikhail Zabezhaylo | Data Mining | Worldwide Innovation in Research Analytics Award

Federal Research Center “Informatics and Management” of the Russian Academy of Sciences | Russia

Author Profile

Orcid

Scopus

Early Academic Pursuits 🎓

Mikhail I. Zabezhaylo, born in 1956, graduated from the Moscow Institute of Physics and Technology (MIPT) in 1979, specializing in Applied Mathematics and Artificial Intelligence (AI). Under the guidance of Prof. D.A. Pospelov and Prof. V.K. Finn, he earned his Ph.D. in Mathematical Cybernetics in 1983 at MIPT, marking the beginning of his deep academic foundation in theoretical computer science.

Professional Endeavors 💼

Dr. Zabezhaylo has held significant positions at major scientific institutions in the USSR and Russia, starting with the All-Union Institute of Scientific and Technical Information (VINITI) and later at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS). His career spans roles like Senior Researcher, Associate Professor, and Chief Researcher, and he currently leads the Laboratory “Intelligent Data Analysis”.

Contributions and Research Focus on  Data Mining 🔬

Dr. Zabezhaylo’s research primarily revolves around Artificial Intelligence (AI), data mining, information systems, and decision support systems. He has been involved in high-profile projects with major organizations such as Gazprom, Russian Railroads, and Siemens, focusing on real-world AI applications. His contributions include leading significant R&D projects, like the Skolkovo Foundation’s “Software Defined Networks” mega-grant.

Impact and Influence 🌍

With 180+ scientific publications, Dr. Zabezhaylo has had a major impact on AI and data analysis methodologies, shaping both theoretical and applied computer science. His work is recognized globally, influencing industries, academia, and governmental bodies. His ability to bridge theory and practice has made him a thought leader in AI-powered systems.

Academic Citations 📚

Dr. Zabezhaylo’s work is highly cited, with over 180 publications referenced in major academic journals and conferences. His research on artificial intelligence, decision support systems, and data analysis continues to be a valuable resource for scholars and professionals alike.

Technical Skills 🖥️

Dr. Zabezhaylo is proficient in mathematical modeling, AI, data mining, and decision support systems. His skills extend beyond theory, as he is adept at leading large-scale R&D projects and collaborating with commercial and governmental entities, applying his expertise in real-world solutions.

Teaching Experience 🧑‍🏫

Dr. Zabezhaylo has over 20 years of teaching experience at MIPT, Moscow State University, and other prominent universities. As a professor, he has lectured and conducted seminars on Artificial Intelligence, shaping the future of AI research and training the next generation of AI professionals.

Legacy and Future Contributions 🔮

Dr. Zabezhaylo’s legacy in AI and computer science is firmly established. He continues to lead advancements in data analysis and AI technologies through his work at FRC CSC RAS. His future contributions will likely continue to drive innovation in AI systems and their applications across diverse sectors.

 Notable Publications  📑

On Some Current Myths about Modern Artificial Intelligence

Authors: Zabezhailo, M.I., Mikheyenkova, M.A., Finn, V.K.

Journal: Pattern Recognition and Image Analysis

Year: 2024

On the Problem of Explaining the Results of Intelligent Data Analysis

Authors: Zabezhailo, M.I.

Journal: Pattern Recognition and Image Analysis

Year: 2024

On Some Possibilities of Using AI Methods in the Search for Cause-And-Effect Relationships in Accumulated Empirical Data

Authors: Grusho, A., Grusho, N., Zabezhailo, M., Timonina, E.

Journal: Lecture Notes in Networks and Systems

Year: 2024

Probabilistic Models for Detection of Causal Relationships in Data Sequences

Authors: Grusho, A., Grusho, N., Zabezhailo, M., Timonina, E.

Journal: Lecture Notes in Networks and Systems

Year: 2024

Statistical Causality Analysis

Authors: Grusho, A.A., Grusho, N.A., Zabezhailo, M.I., Samouylov, K.E., Timonina, E.E.

Journal: Discrete and Continuous Models and Applied Computational Science

Year: 2024

Zlatko Kopecki – Innovation in Data Analysis – Best Researcher Award 

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Dr. Zlatko Kopecki - Innovation in Data Analysis - Best Researcher Award 

University of South Australia - Australia

Author Profile

Early Academic Pursuits

Dr. Zlatko Kopecki's academic journey began with his role as a Technical Officer in Histopathology at Clinpath Laboratories from 2003 to 2005, followed by a position as a Medical Scientist in Histopathology at Adelaide Pathology Partners from 2005 to 2011. During this period, he honed his skills in laboratory medicine, culminating in earning the Terumo Prize for Excellence in Laboratory Medicine with Honours from the University of South Australia (UniSA) in 2007. His dedication to his field was further recognized with a Dean’s Commendation for the quality of his Ph.D. thesis at the University of Adelaide in 2011.

Professional Endeavors

Dr. Kopecki's professional career is marked by several notable appointments. From 2010 to 2012, he served as a Research Officer at the Women’s and Children’s Hospital, where he began to establish his research credentials. His trajectory continued with a National Health and Medical Research Council (NHMRC) Early Career Researcher (ECR) Fellowship at UniSA from 2012 to 2015, during which he also held an honorary research fellowship at Queen Mary University of London. He progressed to the role of Senior Research Fellow at UniSA's Future Industries Institute (FII) from 2015 to 2021. His international engagements included visiting research fellowships at the University of Freiburg (2010), University of Lübeck (2017), and the University of Bath (2020).

Contributions and Research Focus

Dr. Kopecki's research has consistently focused on innovative approaches to wound management and therapy for rare skin diseases, particularly Epidermolysis Bullosa (EB). He has pioneered the development of biofilm-disrupting technologies and stimuli-responsive wound dressings, as well as antimicrobial photodynamic therapy (aPDT). His work also includes the development of antiseptic wound cleansers, medicated hydrogels, and antimicrobial materials for treating infections. His research employs various animal models to answer critical questions about wound infection and skin diseases, contributing significantly to product development and commercialization pathways.

Accolades and Recognition

Dr. Kopecki's contributions to research and patient advocacy have been recognized with numerous awards. Notable among these are the Young Investigator of the Year Award from the Australasian Wound & Tissue Repair Society (AWTRS) in 2016 and the Tall Poppy Award for outstanding scientific achievements in South Australia in 2017. His innovative research has also earned him prestigious grants, including multiple NHMRC Ideas Grants and the Alexander von Humboldt Fellowship for Experienced Researchers (2024-2026).

Impact and Influence

Dr. Kopecki's influence extends beyond his research to impactful patient advocacy. Since 2009, he has been actively involved with DEBRA (an international patient support organization for those affected by EB), where he has held various leadership positions. His efforts have led to significant initiatives, such as the National EB Dressing Scheme in Australia and the In Home Nurse Program, which have greatly improved patient care. His work with DEBRA International during the Ukrainian conflict highlights his commitment to global patient advocacy, providing essential support to EB patients affected by the war.

Legacy and Future Contributions

Dr. Kopecki's legacy is marked by his dedication to improving the lives of those with rare skin diseases through both research and advocacy. His innovative approaches in developing new therapies and his active role in patient support programs have set new standards in the field. Looking forward, Dr. Kopecki aims to continue his pioneering research, focusing on translating his findings into clinical practice to benefit patients worldwide. His ongoing collaborations with industry partners and his involvement in global patient advocacy programs ensure that his work will continue to have a significant impact on the field of wound management and rare skin diseases.

Citations

A total of 1592 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations   1592
  • h-index      24
  • i10-index    42

Notable Publication

 

Khaled Elsayed – Innovation in Data Analysis – Best Researcher Award 

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Mr. Khaled Elsayed - Innovation in Data Analysis - Best Researcher Award 

Universiti Kebangsaan Malaysia - Malaysia

Author Profile

Early Academic Pursuits

Mr. Khaled Elsayed's journey in civil engineering began with a strong academic foundation. Graduating with a Bachelor of Engineering (BEng) in Civil Engineering from Sohar University, his academic pursuits laid the groundwork for his future professional endeavors. During his undergraduate years, Elsayed demonstrated a keen interest in structural analysis, laying the groundwork for his later specialization in this field. His academic achievements during this period reflect his dedication to mastering the fundamentals of civil engineering, providing him with a solid framework for his future research and professional contributions.

Professional Endeavors

Following his undergraduate studies, Elsayed embarked on a path of professional development, gaining practical experience in the field of civil engineering. His tenure as an Associate Design Engineer at Al-Fajer Engineering Consultants in Al-Suwayq, Oman, provided him with invaluable experience in designing and analyzing structural components for various civil engineering projects. During this time, he honed his skills in project management and client collaboration, achieving a remarkable 95% client satisfaction rate through meticulous attention to detail and adherence to project requirements.

Subsequently, Elsayed transitioned to a role as a Construction Engineer at Axes International Trade & Contract in Al-Suwayq, Oman, where he further refined his project management expertise. Managing multiple construction projects with unwavering commitment to quality and efficiency, he successfully led cross-functional teams and implemented innovative methodologies that resulted in significant cost reductions and productivity improvements.

Contributions and Research Focus

Mr. Elsayed's passion for advancing construction methods and optimizing performance led him to pursue higher education, culminating in a Master of Engineering (MEng) and a Doctor of Philosophy (PhD) in Civil Engineering from The National University of Malaysia. During his graduate studies, he focused his research on the development of Prefabricated Prefinished Volumetric Construction (PPVC) modular steel constructions. His contributions in this area include the development of innovative inter-module connections, which not only improved construction efficiency by 30% but also resulted in a substantial reduction in costs. Furthermore, his research endeavors have been recognized through the publication of four high-impact papers in reputable journals, underscoring his commitment to advancing knowledge in his field.

Accolades and Recognition

Throughout his career, Elsayed's contributions have been met with recognition and accolades. His adept project management skills and dedication to excellence have earned him a reputation for delivering projects with 100% adherence to specifications and quality standards, garnering a commendable 95% client satisfaction rate. Moreover, his innovative solutions and research findings have been acknowledged through various awards and honors, highlighting his significant contributions to the field of civil engineering.

Impact and Influence

Mr. Elsayed's impact extends beyond individual projects and research endeavors, influencing the broader landscape of civil engineering through his commitment to excellence and innovation. By implementing efficient construction methodologies and pioneering advancements in PPVC modular steel constructions, he has set a precedent for sustainable and cost-effective construction practices. His research findings have not only contributed to academic discourse but also have practical implications for the construction industry, driving advancements in structural analysis and construction technology.

Legacy and Future Contributions

As Khaled Elsayed continues to make strides in the field of civil engineering, his legacy is characterized by a commitment to excellence, innovation, and continuous learning. With a solid foundation in both academia and industry, he is poised to further his contributions through ongoing research, collaborative endeavors, and mentorship of future generations of civil engineers. By leveraging his expertise in structural analysis, modular construction, and machine learning, he seeks to address pressing challenges in the field and drive engineering advancements that will shape the future of construction.

Notable Publication

 

 

Mitesh Mangaonkar – Innovation in Data Analysis – International Data Breakthrough Achievement Award 

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Mr. Mitesh Mangaonkar - Innovation in Data Analysis - International Data Breakthrough Achievement Award 

Airbnb - United States

Author Profile

Early Academic Pursuits

Mr. Mitesh M. Mangaonkar embarked on his academic journey with a strong foundation in technology and information systems. He earned his Bachelor of Engineering in Information Technology from the University of Mumbai in May 2012, graduating with an impressive GPA of 3.8. His undergraduate studies provided him with a robust understanding of computer science fundamentals, software engineering principles, and data management techniques. This academic foundation was instrumental in shaping his analytical skills and problem-solving capabilities.

Continuing his pursuit of higher education, Mitesh enrolled in the Master of Science program in Management Information Systems at Texas Tech University. Graduating in May 2014 with a GPA of 3.7, he honed his expertise in data management, business intelligence, and system analysis. His graduate studies equipped him with advanced knowledge in managing and interpreting large datasets, preparing him for a career in data engineering and analytics.

Professional Endeavors

Mr. Mitesh's professional career began at Amazon Web Services (AWS) in Seattle, WA, where he served as a Data Engineer from January 2015 to January 2018. During this tenure, he developed SQL queries for customer engagement analysis, collaborated on scalable data processing algorithms, and managed extensive data migrations. His work contributed significantly to enhancing customer experience and operational efficiencies.

In January 2018, Mitesh transitioned to WeWork in San Francisco, CA, as a Senior Data Engineer. Here, he designed next-generation data tools and frameworks, managed AWS applications, and led data discovery sessions with business teams. His role involved building RESTful APIs and orchestrating data workflows, which were pivotal in supporting WeWork’s global operations.

March 2019 saw Mitesh return to AWS, this time in Austin, TX, as a Lead Data Architect. Over the next two years, he designed and deployed enterprise-class applications, implemented automation processes, and collaborated with AWS teams to enhance customer and partner experiences. Notably, he developed a data migration framework that significantly reduced costs for a top-tier retail customer.

In January 2021, Mitesh joined Airbnb in Austin, TX, as a Tech Lead and Data Engineer. His responsibilities included developing large-scale data processing systems, building real-time data pipelines for fraud detection, and contributing to shared data engineering tools and standards. His efforts led to substantial fraud prevention and operational improvements at Airbnb.

Contributions and Research Focus

Throughout his career, Mitesh has focused on developing and optimizing data infrastructure, enhancing data processing systems, and implementing robust data analytics solutions. His research interests lie in big data frameworks, machine learning, and real-time data processing. At Airbnb, he designed and automated high-performance data processing systems, which played a crucial role in driving business growth and improving product experiences.

His contributions to the field include building real-time data pipelines that empowered Airbnb’s fraud detection mechanisms, preventing significant financial losses. At AWS, he was instrumental in creating a data migration framework that reduced data warehousing costs, showcasing his ability to deliver impactful solutions in data engineering.

Accolades and Recognition

Mr. Mitesh’s work has been recognized for its impact and excellence. His contributions to fraud detection at Airbnb led to the prevention of $1.2 million in fraud incidents within six months of implementing real-time pipelines. His innovative solutions in data migration at AWS earned him accolades for significantly reducing operational costs for major clients.

Impact and Influence

Mr. Mitesh’s influence extends beyond his immediate work environment. At AWS, he collaborated with sales, pre-sales, and support teams to educate partners and customers on using AWS services effectively. His efforts in conveying customer feedback to AWS engineering teams helped shape technology roadmaps, ensuring that AWS services met the evolving needs of its users.

At Airbnb, Mitesh evangelized high-quality software engineering practices, enhancing the productivity and output quality of data engineers across the company. His leadership in data infrastructure projects has set a benchmark for efficiency and effectiveness in data engineering practices.

Legacy and Future Contributions

Mr. Mitesh M. Mangaonkar’s legacy is marked by his commitment to advancing data engineering and analytics. His contributions have not only improved operational efficiencies and reduced costs but also enhanced the overall user experience for major technology companies. Looking ahead, Mitesh aims to continue driving innovation in data processing systems, leveraging emerging technologies in machine learning and big data frameworks to solve complex business challenges.

His future contributions are expected to focus on scaling data infrastructure, developing advanced analytics solutions, and mentoring the next generation of data engineers. By staying at the forefront of technological advancements, Mitesh is poised to make lasting impacts in the field of data engineering and beyond.

Notable Publication

 

Fahima Nasrin Eva – Healthcare Data Analysis – Best Researcher Award 

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Dr. Fahima Nasrin Eva - Healthcare Data Analysis - Best Researcher Award 

North South University - Bangladesh

Author Profile

Early Academic Pursuits

Dr. Fahima Nasrin Eva's academic journey began at the prestigious University of Dhaka, where she pursued a Bachelor of Dental Surgery from 2017 to 2021. During this foundational period, she delved deep into various disciplines of dentistry, including anatomy, histology, physiology, and oral surgery. Her academic excellence is evident from her impressive CGPA of 3.54 out of 4, reflecting her dedication and commitment to mastering the fundamentals of her field.

Building upon her undergraduate education, Fahima pursued a Master of Public Health with a major in Epidemiology at North South University from 2022 to 2023. This transition reflects her broader vision of healthcare, moving beyond individual patient care to addressing public health challenges at a population level. Her stellar performance is underscored by a remarkable CGPA of 3.85 out of 4, demonstrating her aptitude for advanced academic pursuits.

Professional Endeavors

Dr. Fahima's professional journey is characterized by a diverse range of experiences that showcase her versatility and expertise in both clinical and public health domains. As a Dental Consultant at Smiley Dental & Implant Centre, she demonstrated her proficiency in developing customized treatment plans and ensuring adherence to high standards of care. Her role also involved staying updated on the latest advancements in dentistry and educating patients about their oral health, reflecting her commitment to continuous learning and patient empowerment.

In her role as a Research Fellow at the Public Health Promotion & Development Society (PPDS), Fahima contributed significantly to ongoing research projects, showcasing her proficiency in data management and analysis using tools like STATA, SPSS, and Excel. Her ability to coordinate seamlessly within a dynamic research team highlights her strong interpersonal and communication skills, essential for collaborative research endeavors.

Contributions and Research Focus

Dr. Fahima's research focus encompasses a wide array of public health issues, with a particular emphasis on preventive healthcare measures such as vaccination and awareness programs. Her contributions to research projects examining HPV vaccine acceptance, cervical cancer awareness, and functional gastrointestinal disorders among undergraduate students reflect her dedication to addressing pressing health concerns in Bangladesh. Through her research endeavors, Fahima aims to generate evidence-based insights that inform public health policies and interventions, ultimately contributing to improved health outcomes at a population level.

Accolades and Recognition

Dr. Fahima's exemplary contributions to the field of public health have been recognized through various accolades and awards. Notably, she was awarded the RSTMH Early Career Research Grant in 2023, a prestigious honor bestowed by the Royal Society of Tropical Medicine and Hygiene and the National Institute for Health and Care Research. This recognition underscores Fahima's emerging stature as a promising researcher in the field of global health, highlighting her potential to drive positive change through her work.

Impact and Influence

Dr. Fahima's work has the potential to have a profound impact on public health policy and practice in Bangladesh and beyond. By conducting rigorous research, disseminating evidence-based findings, and actively engaging with stakeholders, she seeks to influence decision-makers and healthcare practitioners to prioritize preventive strategies and address key health challenges effectively. Fahima's commitment to bridging the gap between research and practice underscores her dedication to making meaningful contributions to public health.

Legacy and Future Contributions

As Fahima continues to advance in her career, her legacy is shaped by her commitment to excellence, integrity, and innovation in public health research and practice. With a strong foundation in dentistry and a burgeoning expertise in epidemiology, she is well-positioned to drive impactful research initiatives, mentor future public health professionals, and advocate for equitable access to healthcare services. Through her continued efforts, Fahima aspires to leave a lasting legacy of improved health outcomes and enhanced well-being for communities in Bangladesh and beyond.

Citations

A total of 16 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations    16

Notable Publication

 

Abraham Chian – Predictive Analytics – Best Researcher Award 

Published on by Research Data Analysis

Prof Dr. Abraham Chian - Predictive Analytics - Best Researcher Award 

University of Adelaide - Australia

Author Profile

Early Academic Pursuits

Prof Dr. Abraham Chian-Long Chian's academic journey reflects a diverse and interdisciplinary pursuit of knowledge spanning applied mathematics, theoretical physics, economics, and electrical engineering. His foundational education includes a B.Sc. with Distinction in Electrical Engineering and Space Science from Cornell University in 1973. This early exposure laid the groundwork for his later explorations in space physics and astrophysical flows. Following his undergraduate studies, Chian pursued dual Ph.D. degrees, demonstrating his commitment to both the theoretical and applied aspects of science. He obtained a Ph.D. in Applied Mathematics and Theoretical Physics from the University of Cambridge in 1977, enriching his understanding of complex systems and nonlinear dynamics. Later, he earned a Ph.D. in Economics from the University of Adelaide in 2005, showcasing his versatility and interdisciplinary approach to research.

Professional Endeavors

Prof Dr. Chian's professional journey is marked by an impressive array of roles and affiliations across renowned institutions worldwide. Notably, his tenure as a Full Professor and Senior Research Scientist at the National Institute for Space Research (INPE), Brazil, since 1979 underscores his enduring commitment to space physics and plasma dynamics. Additionally, his honorary adjunct professorship at the University of Adelaide and various visiting professorships in Japan, Thailand, and the USA exemplify his global impact and collaboration in advancing scientific knowledge.

Contributions and Research Focus

Prof Dr. Chian's research interests encompass a broad spectrum of topics, ranging from coherent structures and turbulence to economic dynamics. His pioneering work in understanding astrophysical and geophysical flows has significantly contributed to the fields of space physics and plasma dynamics. Through his investigations into nonlinear dynamics and complex systems, Chian has shed light on fundamental processes underlying space environment turbulence, impacting both theoretical frameworks and practical applications.

Accolades and Recognition

Throughout his illustrious career, Chian has received numerous accolades and prestigious fellowships, underscoring his outstanding contributions to academia. Notable awards include the Marie Curie International Incoming Fellowship, the Guggenheim Fellowship, and the Senior 1A Fellowship from the National Research Council (CNPq), Brazil. These honors not only acknowledge Chian's scholarly achievements but also highlight the international recognition of his research endeavors.

Impact and Influence

Prof Dr. Chian's influence extends beyond his individual research contributions, encompassing leadership roles in international scientific organizations and educational initiatives. As the founder of the World Institute for Space Environment Research (WISER), he has fostered collaboration among leading space physicists worldwide, facilitating knowledge exchange and capacity-building initiatives. Moreover, his extensive involvement in conference organization, editorial responsibilities, and public outreach activities underscores his commitment to scientific dissemination and education.

Legacy and Future Contributions

Prof Dr. Abraham Chian-Long Chian's legacy lies in his multifaceted contributions to space physics, plasma dynamics, and interdisciplinary research. His pioneering investigations have not only advanced our understanding of complex systems but also inspired future generations of scientists to explore the frontiers of space science. As he continues to push the boundaries of knowledge through his research and educational endeavors, Chian's legacy will endure as a beacon of excellence and innovation in the field of astrophysical and geophysical sciences.

Citations

A total of 2253 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations   2253
  • h-index       25
  • i10-index    63

Notable Publication

 

 

Anandaganesh Balakrishnan – Data Engineering – International Data Breakthrough Achievement Award 

Published on by Research Data Analysis

Mr. Anandaganesh Balakrishnan - Data Engineering - International Data Breakthrough Achievement Award 

American Water - United States

Author Profile

Early Academic Pursuits

Mr. Anandaganesh Balakrishnan's academic journey was marked by excellence and a quest for knowledge. Graduating with distinction in Mechanical Engineering from PSG College of Technology, Coimbatore, India in 2006, he laid the foundation for his future endeavors. His academic prowess was evident early on, setting the stage for a remarkable career in data engineering and information systems management.

Professional Endeavors

Entering the professional arena, Balakrishnan embarked on a journey of innovation and leadership. His roles spanned continents, from Mumbai to New York, showcasing his adaptability and expertise in diverse environments. Notably, his tenure at Susquehanna International Group in Philadelphia saw him excel in Big Data Engineering, where he orchestrated the storage of massive volumes of transaction and historical data, revolutionizing operational analytics. His contributions at Roc360 and American Water further underscore his knack for building robust data frameworks and leveraging cutting-edge technologies like Snowflake and Apache Druid to drive business outcomes.

Contributions and Research Focus

Mr. Balakrishnan's contributions extend beyond corporate realms into the realm of academia and research. With a Master's degree in Information Systems Management from Carnegie Mellon University, he delved into projects with tangible real-world impact. Noteworthy among these is his involvement in the Federal Government Project, where he spearheaded a cost minimization initiative that promised substantial savings for the Department of Housing and Urban Development. His research focus spans data engineering efficiency, AI security, and data virtualization architecture, as evidenced by his publications in esteemed journals and conferences.

Accolades and Recognition

Mr. Balakrishnan's trailblazing efforts have not gone unnoticed, earning him numerous accolades and awards. From prestigious certifications like AWS Certified Cloud Practitioner to patents for innovative systems and methods in software application management, his expertise has been recognized globally. His contributions to the field have been lauded with awards such as the Titan Platinum Award and the Stevie Awards Asia Pacific, solidifying his position as a leader in modern data engineering.

Impact and Influence

Mr. Balakrishnan's influence extends beyond the confines of his professional endeavors, as evidenced by his active involvement in mentoring programs and volunteer initiatives. As a subject matter expert and technical reviewer, he plays a pivotal role in shaping the future of data engineering and artificial intelligence. His mentorship efforts through platforms like ADPList reflect his commitment to nurturing talent and fostering innovation in the field.

Legacy and Future Contributions

Mr. Balakrishnan's legacy lies in his relentless pursuit of excellence and his commitment to pushing the boundaries of what is possible in data engineering. As he continues to spearhead initiatives, contribute to research, and mentor the next generation of professionals, his impact on the field will only grow. With a keen focus on leveraging emerging technologies and driving meaningful change, his future contributions promise to redefine the landscape of data engineering and information systems management.

In summary, Anandaganesh Balakrishnan's journey is characterized by a combination of academic brilliance, professional excellence, and a relentless drive to innovate. His multidimensional contributions across academia, industry, and mentorship positions him as a luminary in the field of data engineering, leaving an indelible mark on the industry and inspiring future generations to come.

Notable Publication