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.

Paraskumar Patel – Data Analytics and Engineering – Global Data Innovation Recognition Award 

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Mr. Paraskumar Patel - Data Analytics and Engineering - Global Data Innovation Recognition Award 

Fractal.ai - United States

Author Profile

Early Academic Pursuits

Mr. Paraskumar Patel embarked on his academic journey with a Bachelor of Technology in Chemical Engineering from Dharmsinh Desai University, India. This foundational education provided him with a strong background in engineering principles and analytical thinking. Subsequently, he pursued a Master of Chemical Engineering from Carnegie Mellon University, USA, further honing his expertise in the field.

Building upon his engineering background, Patel expanded his academic horizons with a Master of Science in Information Technology from the University of the Cumberlands, USA. This interdisciplinary education equipped him with the necessary skills to bridge the gap between technology and engineering, laying the groundwork for his future endeavors in data engineering and analytics.

Professional Endeavors

Mr. Paraskumar Patel's professional journey is marked by a series of impactful roles in prominent organizations. As a Software Engineer at CCS Global Tech, he demonstrated leadership and technical prowess by spearheading projects for Advantasure, a healthcare company. Patel's contributions led to a 15% improvement in team performance, underscoring his ability to drive results and foster collaboration.

Transitioning to Fractal.ai as a Senior Data Engineer, Patel continued to excel, leveraging his expertise to deliver innovative data solutions for clients across various industries. His work with clients such as USAA, Suncor, Humana, Microsoft, and PepsiCo showcased his versatility and adaptability in addressing diverse business challenges.

Contributions and Research Focus

Mr. Patel's contributions extend beyond his professional endeavors, with a notable presence in academia. As an accomplished author, he has published several papers in respected journals, focusing on advanced data visualization, data engineering challenges, and privacy-preserving techniques in analytics. His research not only demonstrates thought leadership but also contributes to the advancement of knowledge in the field of data science and engineering.

Accolades and Recognition

Throughout his career, Paraskumar Patel has garnered recognition for his contributions and achievements. His impactful work has been acknowledged by both peers and industry experts, cementing his reputation as a leader in the field of data engineering. Whether it's leading teams to success, delivering high-impact solutions for clients, or advancing research in academia, Patel's accomplishments have not gone unnoticed.

Impact and Influence

Mr. Paraskumar Patel's work has had a profound impact on the organizations he has been a part of, driving operational efficiencies, enhancing data accessibility, and fostering data-centric cultures. Through his leadership and technical expertise, he has empowered teams to deliver innovative solutions that drive business success and enable data-driven decision-making.

Legacy and Future Contributions

As Paraskumar Patel continues to make strides in his career, his legacy is one of excellence and innovation in the field of data engineering. His commitment to continuous learning, problem-solving, and collaboration sets a precedent for future generations of data professionals. Moving forward, he aims to further expand his contributions to academia and industry, shaping the future of data science and engineering through his research, leadership, and advocacy for ethical and responsible data practices.

Notable Publication

 

Marjaana Siivola – Virtual Reality Analytics – Best Researcher Award

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Mrs. Marjaana Siivola - Virtual Reality Analytics - Best Researcher Award 

Aalto University - Finland

Author Profile

Early Academic Pursuits

Mrs. Marjaana Siivola's academic journey began with a strong focus on technology and its application in various domains. She obtained her Master of Science in technology with a specialization in utilizing technology to support the independent living of the elderly and disabled. This foundational education laid the groundwork for her future research and professional endeavors.

Her academic pursuits continued as she pursued a Licentiate of Technology degree, where her focus shifted towards exploring the usability of mixed reality applications. This period marked her transition into interdisciplinary research, blending technology with fields such as human-computer interaction and user-centered design. Siivola's early academic pursuits reflect a commitment to leveraging technology for social good and enhancing user experiences across different contexts.

Professional Endeavors

Mrs. Siivola's professional journey is characterized by a diverse range of roles spanning research, education, and entrepreneurship. Following her academic achievements, she delved into the realm of usability as a specialist at Finndesign Oy and later continued her research pursuits at the University of Technology. Her work during this period contributed to understanding user requirements and interface solutions for various applications, including temperature control systems and mixed reality training tools.

In 2012, Siivola founded Doules, where she assumed the roles of doula, childbirth educator, and researcher. This entrepreneurial venture allowed her to merge her expertise in technology with her passion for supporting expectant parents during childbirth. Her multidisciplinary approach to childbirth education, incorporating elements of virtual reality and digital platforms, reflects her innovative thinking and commitment to enhancing the childbirth experience.

Siivola's professional journey also includes academic pursuits as a PhD student at Aalto University, focusing on online childbirth education. This role showcases her dedication to advancing knowledge in her field and exploring innovative methods to improve access to quality education and support for expectant parents.

Contributions and Research Focus

Mrs. Siivola's research focus centers on leveraging technology to enhance childbirth education and support services. Her pioneering work in virtual reality childbirth education has garnered attention for its potential to revolutionize traditional childbirth preparation methods. Through her publications, Siivola has explored the advantages of virtual reality in childbirth education, the role of 360° videos, and the integration of flipped learning approaches. Her research contributes to bridging the gap between technological innovation and maternal healthcare, with a focus on improving outcomes and experiences for expectant parents and healthcare professionals alike.

Furthermore, Siivola's contributions extend beyond academia through her advocacy for collaboration between midwives and doulas, as evidenced by her publications and presentations. By fostering synergy between these two essential roles in maternal care, Siivola aims to create a supportive ecosystem that prioritizes the holistic well-being of expectant families.

Accolades and Recognition

Throughout her career, Siivola has received recognition for her contributions to the field of childbirth education and support. Her presentations at international conferences and publications in esteemed journals underscore her status as a thought leader in the intersection of technology and maternal healthcare. Additionally, her involvement in professional organizations such as Suomen doulat ry and DONA International highlights her commitment to advancing doula care standards and promoting interdisciplinary collaboration within the maternal health community.

Impact and Influence

Mrs. Siivola's work has had a significant impact on both academic research and practical applications in maternal healthcare. By pioneering the integration of virtual reality into childbirth education, she has opened up new possibilities for enhancing the accessibility and effectiveness of prenatal preparation. Her emphasis on user-centered design principles ensures that technological innovations are tailored to meet the needs and preferences of diverse user groups, ultimately improving the childbirth experience for expectant parents worldwide.

Legacy and Future Contributions

As a trailblazer in the field of virtual reality childbirth education, Marjaana Siivola's legacy is characterized by innovation, collaboration, and a steadfast commitment to improving maternal healthcare outcomes. Her interdisciplinary approach and pioneering research pave the way for future advancements in digital education and support services for expectant families. Moving forward, Siivola's work will continue to shape the landscape of childbirth education, inspiring new generations of researchers and practitioners to embrace technology as a tool for positive change in maternal health.

Notable Publication

 

Nicola Lercari – Digital Archaeology Award – Best Researcher

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Prof. Nicola Lercari - Digital Archaeology Award - Best Researcher

Ludgwigs-Maximilian-Universität München - Germany

Author Profile

Early Academic Pursuits

Prof. Nicola Lercari's academic journey began with a Bachelor of Arts in Communication Studies from the University of Genoa in 2004. Following this, he pursued a Master of Arts in Film and Media Production at the University of Bologna in 2007. Later, in 2011, he obtained a Ph.D. in History and Computing from the Department of History and Cultures at the University of Bologna, Italy. This interdisciplinary background laid the foundation for his future contributions to the field of digital cultural heritage studies.

Professional Endeavors

Prof. Lercari's professional career spans various prestigious academic appointments and research positions. He served as a Lecturer and Postdoctoral Scholar at the University of California, Merced, between 2010 and 2012, followed by a Postdoctoral Associate position at Duke University from 2013 to 2014. He then returned to UC Merced as an Assistant Professor of Heritage Studies until 2021, when he became an Associate Professor. In 2022, he assumed the role of Full Professor and Chair of Digital Cultural Heritage Studies at Ludwig-Maximilians-Universität München.

Contributions and Research Focus

Prof. Lercari's research focuses on digital applications in archaeology and cultural heritage preservation. His work integrates cutting-edge technologies such as LiDAR, remote sensing, and 3D visualization to analyze and interpret archaeological sites. He has made significant contributions to the field through numerous peer-reviewed publications, including books, journal articles, book chapters, and conference proceedings. Lercari's research emphasizes the importance of interdisciplinary collaboration and the use of digital tools for site monitoring, conservation, and data visualization.

Accolades and Recognition

Throughout his career, Lercari has received recognition for his scholarly contributions. His research has been published in prestigious academic journals and presented at international conferences. He has also received grants and awards to support his work in digital humanities and cultural heritage preservation.

Impact and Influence

Prof. Lercari's work has had a significant impact on the field of digital cultural heritage studies. By leveraging advanced technologies and methodologies, he has advanced our understanding of archaeological sites and facilitated their preservation for future generations. His research has inspired other scholars and practitioners to adopt similar approaches, leading to further advancements in the field.

Legacy and Future Contributions

Prof. Nicola Lercari's legacy lies in his groundbreaking research at the intersection of archaeology, technology, and cultural heritage. His innovative methods and interdisciplinary collaborations have transformed how we study, preserve, and visualize archaeological sites. As he continues to lead research initiatives and mentor the next generation of scholars, his contributions will shape the future of digital cultural heritage studies for years to come.

Citations
  • Citations   1023
  • h-index       16
  • i10-index    18

Notable Publication

 

Snehashis Majhi – Computer Vision – Best Researcher Award

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Mr. Snehashis Majhi - Computer Vision - Best Researcher Award 

Institut National de Recherche en Informatique et en Automatique - France

Author Profile

Early Academic Pursuits

Mr. Snehashis Majhi embarked on his academic journey with a Bachelor of Technology in Computer Science and Engineering from the National Institute of Science and Technology, Berhampur, India. During this time, he delved into the realm of computer vision with his thesis titled "Design and Development of CBIR system using Classification Confidence," under the guidance of Dr. Jatindra Kumar Dash. This early exposure laid the foundation for his future endeavors in research and development.

Professional Endeavors

Mr. Majhi's professional journey commenced with an internship at INRIA, Sophia Antipolis Cedex BP 93, France, where he contributed to the development of a deep learning pipeline for human activity detection in smart home scenarios. This experience provided him with practical insights into real-world applications of deep learning technologies.

Following his internship, Majhi ventured into the field of glaucoma detection during his tenure as a Research Fellow at MNIT Jaipur, India. Here, he developed a deep convolutional neural network for detecting glaucoma diseases in fundus images, showcasing his versatility in applying deep learning techniques to healthcare domains.

Currently serving as a Research Scholar at INRIA Sophia Antipolis, France, Majhi's primary focus lies in developing human-scene centric video abnormality detection methods for smart-city surveillance systems. His research involves collaboration with Toyota Motor Europe and Woven Planet, demonstrating his ability to work on interdisciplinary projects with industry partners.

Contributions and Research Focus

Mr. Majhi's research contributions span various aspects of computer vision and deep learning. Noteworthy among his works is the development of the Human-Scene Network (HSN) and the Outlier-Embedded Cross Temporal Scale Transformer (OE-CTST) for video anomaly detection. These innovations address critical challenges in surveillance systems, showcasing Majhi's expertise in designing novel architectures and algorithms for complex tasks.

His research endeavors also encompass weakly-supervised learning techniques and optimization methods tailored for anomaly detection, underscoring his commitment to advancing the state-of-the-art in video analysis.

Accolades and Recognition

Mr. Majhi's contributions have been recognized through publications in reputable conferences and journals, including IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and International Conference on Neural Information Processing (ICONIP). His papers have received commendable rankings, reflecting the significance and impact of his research in the scientific community.

Impact and Influence

Through his research and academic pursuits, Mr. Majhi has made significant contributions to the fields of computer vision and machine learning. His innovative approaches to video anomaly detection have the potential to enhance surveillance systems' effectiveness, thereby contributing to the advancement of public safety and security measures.

Legacy and Future Contributions

Mr. Majhi's legacy lies in his pioneering work in video anomaly detection and deep learning applications. His research serves as a stepping stone for future advancements in smart-city surveillance, healthcare diagnostics, and beyond. As he continues his academic and professional journey, Majhi is poised to make further contributions to the field, driving innovation and addressing societal challenges through cutting-edge technologies.

Citations

  • Citations   97
  • h-index       5
  • i10-index   4

Notable Publication