Aravindh Sekar | Blockchain | Best Researcher Award

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Dr. Aravindh Sekar | Blockchain | Best Researcher Award

Penske Logistics | United States

Dr. Aravindh Sekar holds a Ph.D. in Information Systems (Analytics/Decision Support) from Dakota State University (2024), an M.S. in Information Science & Technology from Missouri University of Science & Technology (2011), and a B.Tech in Computer Science & Engineering from the National Institute of Technology, Rourkela (2006). He is currently Staff Software Architect, Supply Chain Solutions at Penske Logistics (since January 2018), where he leads the architecture and integration of technical solutions across supply-chain platforms, defines enterprise standards, and champions data-driven, API-led design and governance for future-state capabilities. Earlier, he served as Project Leader at Leggett & Platt (June 2010–January 2018), managing logistics and operational systems, implementing Oracle Transportation Management workflows, and customizing agent workflows and business monitors. His research interests span digital transformation, enterprise architecture, emerging technologies (blockchain, AI, IoT) in supply chain management, IT governance and leadership, cybersecurity in digital platforms, and bridging theory with practice in agile supply-chain ecosystems. His recent awards include the Graduate Research Initiative (GRI) award for his exploratory project on “Factors Influencing Blockchain Implementation in Supply Chain Management.” His published work addresses blockchain adoption, project management adaptations for blockchain, and inventory-control complexity through reinforcement learning. Dr. Sekar’s scholarly output includes 4 documents, 1 citation, and an h-index of 1, reflecting his growing academic impact.

Profile: Scopus 

Featured Publications

Sekar, A., Tech, D., Brooks, P., & Noteboom, C. (2024) “Factors Influencing Blockchain Implementation in Supply Chain Management: An Exploratory Pilot Study”, Issues in Information Systems.

Sekar, Aravindh, Tech, Deb, & Noteboom, Cherie Bakker (2024) “Exploring the Impact of Blockchain Integration on Inventory Accuracy and Supply Chain Efficiency – A Literature Review”, AMCIS 2024 Proceedings.

Sekar, Aravindh, & Tech, Deb (2024) “Exploratory Study on the Impact of Blockchain Adoption on Inventory Accuracy and Supply Chain Efficiency”, AMCIS 2024 Proceedings.

Sekar, Aravindh, & Zeng, David (2022) “Reinforcement Learning Algorithms and Complexity of Inventory Control: A Review”, MWAIS 2022 Proceedings.

Sekar, Aravindh (2023) “Determining the Effectiveness of RL in Tackling Inventory Control Complexities”, International Journal of Management and Applied Science (IJMAS).

Govindu, D., Tippani, R., Porika, M., & Sura, S. P. (2023) “Methodology of Assessing Microplastics and Nanoplastics in the Environment: Recent Advances in the Practical Approaches”, in Micro and Nanoplastics in Soil: Threats to Plant-Based Food.

Chulhwan Bang | Machine Learning and AI Applications | Best Researcher Award

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Dr. Chulhwan Bang | Machine Learning and AI Applications | Best Researcher Award

Georgia Southern University | United States

Dr. Chulhwan C. Bang is an Assistant Professor of Business Analytics and Information Systems at Georgia Southern University. He earned his Ph.D. in Business Management, specializing in Management Science and Systems with a minor in Communication, from the University at Buffalo, SUNY. With over a decade of academic and professional experience, Dr. Bang has taught a wide range of courses in business programming, information systems, and data analytics, integrating tools such as Python, SAP, Power BI, and Tableau. His research interests include big data analytics, cryptocurrency forecasting, social media analysis, deep learning, and sports analytics. He has published in top-tier journals such as Information Systems Frontiers and International Journal of Information Management and actively collaborates with students on applied data-driven projects. Prior to academia, he worked in the IT industry as a system architect and software developer, contributing to large-scale ERP and BI projects in Korea and the U.S. Dr. Bang has received multiple honors, including the Outstanding Research Award and finalist recognition for accelerator research grants. His work bridges theory and practice, fostering innovation in analytics education and advancing interdisciplinary research in business intelligence and emerging technologies.

Profile : Orcid

Featured Publications

Lee, Y. S., & Bang, C. C. (2022). Framework for the Classification of Imbalanced Structured Data Using Under-sampling and Convolutional Neural Network. Information Systems Frontiers.

Bang, C. C., Lee, J., & Rao, H. R. (2021). The Egyptian protest movement in the twittersphere: An investigation of dual sentiment pathways of communication. International Journal of Information Management.

Bang, C. C. (2020). Predicting Loyalty of Korean Mobile Applications: A Dual-Factor Approach. International Journal of Information and Communication Technology for Digital Convergence (IJICTDC).

Yu, J., Bang, C. C., & Oh, D.-Y. (2020). The Effect of Noncognitive Factors on Information Disclosure on Social Network Websites: Role of Habit and Affect. Southern Business & Economic Journal.

Kwon, K. H., Bang, C. C., Egnoto, M., & Rao, H. R. (2016). Social media rumors as improvised public opinion: semantic network analyses of Twitter discourses during Korean saber rattling 2013. Asian Journal of Communication.

Viken Kortian | Big Data Analytics | Best Researcher Award

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Assoc. Prof. Dr. Viken Kortian | Big Data Analytics | Best Researcher Award

Macquarie University | Australia

Assoc. Prof. Dr. Viken Kortian is an accomplished academic and researcher specializing in operations management, innovation, and entrepreneurship, with extensive expertise in business process management, strategy, and big data analytics. He holds a PhD in Management from Macquarie Graduate School of Management, where his doctoral research focused on organizational agility and firm performance in Australian SMEs. His academic foundation also includes a Master of Arts, an MBA, and a Bachelor of Chemical Engineering with honors. Dr. Kortian has built a distinguished career in higher education, currently serving as Associate Professor at Macquarie University’s School of Engineering, where he played a pivotal role in designing and leading the Master of Engineering Management program, one of the university’s largest postgraduate offerings. He has also contributed to Kaplan Business School, Macquarie Graduate School of Management, and the Australian Graduate School of Management through innovative course development in data analytics, quality management, and business excellence. His research interests span business excellence, operations management, artificial intelligence, and machine learning, with several conference presentations, publications, and a US patent to his credit. Recognized with multiple Vice Chancellor’s Awards for Teaching Excellence and other honors, Dr. Kortian is a dedicated educator, researcher, and thought leader shaping engineering management education in Australia.

Profile : Orcid 

Featured Publication

“Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study”

 

Maksym Lazirko | Accounting Information Systems | Best Academic Researcher Award

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Prof. Maksym Lazirko | Accounting Information Systems | Best Academic Researcher Award

Rutgers University | United States

Prof. Maksym Orest Lazirko is an emerging scholar and academic professional specializing in Management Information Systems, Accounting Information Systems, and advanced technologies impacting modern business practices. With a multidisciplinary foundation spanning management, accounting, geological sciences, and quantum computing, he has developed a unique expertise that bridges technical innovation and business strategy. His academic and professional journey reflects a strong commitment to research, teaching, and technological transformation in accounting and audit domains. Prof. Lazirko actively engages in developing frameworks for blockchain applications, ESG (Environmental, Social, and Governance) reporting, quantum computing integration in accounting systems, and data-driven audit methodologies. His work emphasizes innovative approaches to automation, artificial intelligence, and emerging technologies that redefine corporate reporting and decision-making.

Professional Profiles

SCOPUS
ORCID

Education

Prof. Lazirko completed his undergraduate studies with a Bachelor of Science in Management of Information Systems and a minor in Geological Science. Building upon his academic foundation, he pursued advanced research as a Doctoral Candidate in Management with a concentration in Accounting Information Systems at Rutgers University, where he has made significant contributions under the mentorship of Dr. Miklos Vasarhelyi. His educational background reflects a blend of business management, technological innovation, and applied sciences, equipping him with the expertise to address interdisciplinary challenges in the digital and corporate ecosystem.

Experience

Prof. Lazirko has amassed extensive teaching, research, and industry-related experience across multiple roles, including instructor, research assistant, teaching assistant, and guest lecturer at Rutgers University. His teaching portfolio spans courses such as Audit Analytics, Managerial Accounting, Financial Accounting, Data Warehousing & Data Mining, Management Information Systems, and Advanced Design & Development of Information Systems. His instructional expertise integrates theory with cutting-edge technological tools, providing students with practical and forward-thinking insights into accounting and information systems. Beyond academia, he has held roles in child development and robotics education, aquatics, and geology-focused positions, where he honed his leadership, process improvement, and technical skills. His volunteering work as a leader and advisor at a nonprofit organization reflects his dedication to community service, operational support, and technological guidance.

Research Interests

Prof. Lazirko’s research interests focus on the convergence of emerging technologies and accounting systems. His primary areas include quantum computing applications in accounting, blockchain-based proof of reserves frameworks, ESG-focused corporate reporting methodologies, automation in audit processes, metaverse and augmented/virtual reality applications in information systems, and artificial intelligence integration for financial transparency. He has contributed to developing methodologies for monitoring and reporting Natech disasters for business continuity, advanced risk assessment in cryptocurrency markets, and innovative designs for academic advisory chatbots. His interdisciplinary approach aims to bridge gaps between technological potential and practical business needs in an evolving regulatory landscape.

Awards and Contributions

Prof. Lazirko has been recognized for his active participation in professional conferences, workshops, and peer review activities in the field of accounting and information systems. He has served as a moderator, discussant, and organizer at significant academic meetings, including AAA Mid-Year Meetings, Transformative Technology Workshops, and WCARS conferences. His contributions as a volunteer referee for leading journals such as The British Accounting Review, Accounting Horizons, and the Journal of Emerging Technologies in Accounting reflect his standing as a critical contributor to scholarly discourse and research development. Furthermore, his involvement in the creation of innovative educational platforms such as quantum computing courses for business students and virtual reality classrooms highlights his forward-thinking contributions to academic innovation.

Publications

Lazirko, M., Appelbaum, D., & Vasarhelyi, M. (2025). “Proof of Reserves: A Double-Helix Framework” in The British Accounting Review.

Lazirko, M. (2025). “The Quantum Dynamics of Cost Accounting: Investigating WIP via the Time-Independent Schrödinger Equation” in Journal of Decision Science and Optimization.

Lazirko, M., & Gates, A. (2025). “Unveiling Nature’s Fury: Natech Disasters for Business – A Continuous Monitoring & Reporting Framework” in Journal of Risk Research.

Conclusion

Prof. Maksym Orest Lazirko embodies the intersection of technology, research, and education, actively shaping the future of accounting and information systems. His work reflects a continuous pursuit of integrating next-generation technologies—quantum computing, blockchain, artificial intelligence, and immersive systems—into the financial and corporate sectors. Through his teaching, research, and community engagement, he promotes the advancement of sustainable, transparent, and innovative business practices. His ongoing efforts in developing cutting-edge frameworks and educational initiatives position him as a valuable thought leader in the fields of accounting innovation, digital transformation, and academic mentorship.

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 

Published on by Research Data Analysis

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