Vincenzo Arceri | Computer Science | Best Researcher Award

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Dr. Vincenzo Arceri | Computer Science | Best Researcher Award

Dr. Vincenzo Arceri | Computer Science | University of Parma | Italy

Dr. Vincenzo Arceri is an accomplished computer scientist and Assistant Professor at the University of Parma, Italy. His expertise lies in abstract interpretation, static program analysis, blockchain security, and formal methods for ensuring software reliability. With a strong academic background and multiple research fellowships, he has established himself as a leading voice in advancing secure, dependable software systems. Dr. Arceri has contributed significantly to the development of static analysis tools, including LiSA, a generic library for static analysis, and EVMLiSA, a specialized analyzer for Ethereum smart contracts. His research extends into improving the quality and security of large language model–generated code, showcasing his commitment to addressing emerging challenges in artificial intelligence and blockchain domains. Recognized internationally through invitations to prestigious Dagstuhl Seminars, awards, and collaborations, Dr. Arceri combines research excellence with impactful teaching, mentoring students in programming and fostering the next generation of computer scientists.

Author Profiles

Orcid | Google Scholar

Education

Dr. Vincenzo Arceri pursued his academic journey at the University of Verona, Italy, where he obtained a Bachelor’s Degree in Computer Science in 2014 with a thesis on semantic analysis techniques for JavaScript. He continued his studies with a Master’s Degree in Computer Science, graduating cum laude in 2016, with a thesis focusing on static type analysis for PHP. Building upon his foundation, he earned his Ph.D. in Computer Science in 2020, presenting a dissertation titled “Taming Strings in Dynamic Languages – An Abstract Interpretation-based Static Analysis Approach.” His doctoral work, supervised by Prof. Isabella Mastroeni, was critically acclaimed by international reviewers such as Prof. Sergio Maffeis and Prof. Xavier Rival. Through this academic pathway, Dr. Arceri specialized in the rigorous application of abstract interpretation to real-world programming challenges, setting the stage for his future contributions to static analysis, software verification, and blockchain-related applications.

Experience

Dr. Vincenzo Arceri began his research career as a Postdoctoral Researcher at Ca’ Foscari University of Venice (2019–2021), where he worked on IoT applications in smart cities and the development of static analysis tools for Go, particularly in the context of blockchain smart contracts. His research there focused on formal verification and the precision–efficiency trade-offs in string analysis. In September 2021, he joined the University of Parma as an Assistant Professor, where he currently teaches Fundamentals of Programming to undergraduate students while continuing his research in advanced program analysis. His contributions include designing LiSA, a generic static analysis framework, and EVMLiSA, a static analyzer for Ethereum Virtual Machine bytecode. He has also explored static analysis for unsafe Rust programs and LLM-generated code. Dr. Arceri’s professional trajectory reflects a balance of teaching, applied research, and international collaboration with academic and industry partners.

Awards and Honors

Dr. Vincenzo Arceri’s research excellence has been recognized through prestigious awards and honors. In 2019, he received the Best Paper Award at VALID 2019 for his contribution to the operational semantics of Solidity, highlighting his innovative work in blockchain verification. His international reputation was further affirmed with scholarships such as the Marktoberdorf Summer School in 2018, which focused on engineering secure and dependable software systems. In 2023, he was awarded INdAM GNCS funding to support his participation in international conferences, workshops, and seminars. Furthermore, Dr. Arceri has been invited to the distinguished Dagstuhl Seminars in 2023 and 2025, gatherings known for shaping the future of computer science research. These invitations underscore his standing as an expert in abstract interpretation and static analysis. Collectively, these accolades reflect his academic rigor, groundbreaking contributions, and the international recognition he has garnered for advancing software reliability and security.

Research Focus

Dr. Vincenzo Arceri’s research centers on the application of abstract interpretation to improve the security, reliability, and correctness of software systems. He has dedicated his career to advancing static program analysis for a wide range of programming paradigms, from dynamic languages such as JavaScript and PHP to domain-specific blockchain applications. His work also addresses the challenges of analyzing unsafe Rust code and verifying smart contracts in Go and Ethereum. Notably, he has developed LiSA, a multilanguage static analysis framework, and EVMLiSA, a static analyzer tailored to EVM bytecode, demonstrating his ability to merge theoretical rigor with practical implementations. His recent projects explore the safety of LLM-generated code, aiming to ensure that AI-driven programming integrates robust security principles. By balancing precision and performance in static analysis, Dr. Arceri’s work provides a critical foundation for future-proof software engineering, cross-blockchain applications, and secure AI-integrated development practices.

Publications

  • Static analysis for dummies: experiencing LiSA.

  • Analyzing Dynamic Code: A Sound Abstract Interpreter for Evil Eval.

  • LiSA: a generic framework for multilanguage static analysis.

  • Static Program Analysis for String Manipulation Languages.

  • Static analysis for ECMAScript string manipulation programs.

  • Ensuring determinism in blockchain software with GoLiSA: an industrial experience report.

  • Information flow analysis for detecting non-determinism in blockchain.

  • Twinning automata and regular expressions for string static analysis.

  • Abstract domains for type juggling.

  • Relational string abstract domains.

Conclusion

Dr. Vincenzo Arceri exemplifies the qualities of a modern computer scientist—innovative, collaborative, and deeply committed to advancing the reliability of digital systems. His work bridges theory and practice, from foundational contributions in abstract interpretation to impactful tools for blockchain verification and AI-generated code analysis. With a growing body of influential publications, awards, and teaching contributions, he stands as a leading researcher shaping the future of secure and dependable software systems.

 

Ashok Ghimire | Computer Science | Research Excellence Award

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Mr. Ashok Ghimire | Computer Science | Research Excellence Award

Mr. Ashok Ghimire | Computer Science | Westcliff University | United States

Ashok Ghimire is a dynamic researcher and professional specializing in artificial intelligence, data analytics, and financial technology. Born in Nepal and currently based in Anaheim, California, he has demonstrated a strong commitment to advancing computer science applications in banking, finance, and business intelligence. With over a decade of academic and professional experience, he has transitioned from banking operations and financial management in Nepal to advanced research in AI-driven data analytics in the United States. His work emphasizes leveraging machine learning, quantum computing, and big data to address critical challenges such as fraud detection, financial inclusion, and risk management. Ashok has earned recognition for his scholarly contributions, securing multiple scholarships and publishing extensively in reputed journals. In addition to his academic excellence, he contributes to the research community as a peer reviewer and conference evaluator. His forward-looking vision integrates technology and finance to create sustainable and secure digital ecosystems.

Author Profiles

Orcid | Google Scholar

Education 

Ashok Ghimire has pursued a strong academic journey combining business, finance, and technology. He completed his high school and higher secondary education in Nepal with distinction before receiving an ICCR-funded scholarship to study for a Bachelor of Business Administration in Finance at MITSOM, Pune, India, where he graduated with distinction. Continuing his academic path, he earned an MBA in Finance and Marketing at Surya World, India, achieving high distinction and receiving support through Surya Pharmaceuticals’ CSR scholarship. Ashok’s academic excellence has been recognized with multiple scholarships at each stage of his education. Building on this foundation, he is currently pursuing a Doctor of Business Administration (DBA) in Business Intelligence and Data Analytics at Westcliff University, Irvine, California. His doctoral studies reflect his growing specialization in artificial intelligence, machine learning, and big data analytics, preparing him to make innovative contributions to the U.S. financial technology and banking sectors.

Experience 

Ashok Ghimire has built a diverse professional background, beginning his career as a Management Trainee at CG Electronics, Nepal, where he gained experience in sales enhancement, product imports, and brand management. He later advanced to Assistant Manager and then Deputy Manager at Nepal Bank Limited, one of the country’s leading financial institutions. During his tenure, he managed credit assessments, financial risk evaluations, loan negotiations, and approvals of major projects, including hydroelectric power initiatives. His responsibilities also extended to customer relations, compliance, staff supervision, and branch operations. Ashok’s professional expertise lies in analyzing business proposals, conducting industry research, and making strategic financial recommendations. Since moving to the U.S., he has focused on academic research and peer reviewing for international journals and conferences, strengthening his global engagement in computer science, AI, and data analytics. His career path reflects a seamless integration of financial management and emerging digital technologies.

Awards and Honors 

Ashok Ghimire’s academic and professional journey is distinguished by numerous awards and recognitions. He received scholarships at every stage of his higher education, beginning with Einstein Academy in Nepal, where he was awarded for his higher secondary studies. He later received the prestigious Indian Council for Cultural Relations (ICCR) scholarship for his undergraduate degree in Finance at MITSOM, Pune, India. His postgraduate studies were supported by a CSR scholarship from Surya Pharmaceuticals, enabling him to complete his MBA in Finance and Marketing with distinction. At Westcliff University, he has been recognized on the Dean’s List with Distinction and awarded the Founder’s Scholarship for Business during his doctoral studies. Beyond academia, Ashok has secured a UK Design Patent for an AI-based Facial Recognition Device (2025) and has established himself as an active peer reviewer for leading international journals and conferences, highlighting his global recognition as a scholar.

Research Focus 

Ashok Ghimire’s research focus lies at the intersection of computer science, artificial intelligence, and financial technology. His work explores how AI, machine learning, and data analytics can transform the U.S. financial sector, particularly in enhancing fraud detection, anti-money laundering (AML) compliance, financial crime prevention, and risk management. He has published extensively on AI-driven predictive modeling, big data in banking, quantum computing applications in fraud detection, and the role of sentiment analysis in cryptocurrency markets. His research also extends to healthcare, education, and agricultural industries, where AI-driven solutions are shaping innovation and efficiency. Through his doctoral studies, he aims to strengthen the adoption of business intelligence and decision-support systems in organizations, especially in resource-constrained environments. His future vision is to integrate computer science with financial strategies to support economic inclusion, transparency, and security, ultimately contributing to both national priorities and global digital transformation.

Publications 

  • Exploring Benefits, Overcoming Challenges, and Shaping Future Trends of AI in Agriculture.

  • Behavioral Intention to Adopt Artificial Intelligence in Educational Institutions.

  • Exploring the Latest Trends in AI Technologies: Current State and Impacts.

  • Applying TAM in IT Systems to Evaluate Decision Support Adoption.

  • Advances in Smart Health Care: Paradigms, Challenges, Case Studies.

  • Predictive Models Performance in Financial Services for At-Risk Customers.

  • Harnessing Big Data with AI-Driven BI Systems for Real-Time Fraud Detection.

  • AI-Powered Anomaly Detection for AML Compliance in US Banking.

  • Quantum Computing in US Banking: Future of Fraud Prevention.

  • Multi-Factor Forex Hedging Models with Reinforcement Learning.

  • Organizational Factors Influencing Predictive Analytics Adoption for FX Exposure.

  • Role of AI-Based Sentiment Detection in Forecasting Cryptocurrency Market.

  • Leveraging AI for Trade-Based Money Laundering Detection.

  • AI-Driven Drug Repurposing for Oncology Treatments.

  • Meta-Synthesis of Barriers to Decision Tree Analytics in Payment Fraud.

  • Enhancing Real-Time Fraud Detection Using RNNs.

  • Sociotechnical Framework for Business Intelligence Adoption in SMEs.

  • Data Analytics in Judicial Decision-Making.

Conclusion

Ashok Ghimire represents a new generation of scholars who bridge finance, technology, and computer science to drive innovation in real-world contexts. His academic journey, professional expertise, and extensive publications reflect a strong foundation in both theory and practice. Through his pioneering research on artificial intelligence, data analytics, and financial risk management, he is actively shaping the future of digital finance and business intelligence. His achievements, including international scholarships, patents, and peer-review contributions, highlight his credibility and leadership in the field. Positioned at the intersection of academia and industry, Ashok continues to contribute toward building smarter, safer, and more inclusive financial systems. His forward-looking vision makes him a strong candidate for recognition in the domain of Computer Science, particularly where technology and finance converge to address global challenges.

Arivumalar Ravichandran | Computer science | Academic Excellence Award

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Dr. Arivumalar Ravichandran | Computer science | Academic Excellence Award

Dr. Arivumalar Ravichandran | Computer science | GreatLakes Institute of management | India

Dr. Arivumalar Ravichandran is an accomplished academician and researcher with an interdisciplinary background encompassing Information Technology, Computer Science, Engineering, and Human Resource Management. With over 17 years of teaching and research experience, she has held pivotal roles in prestigious institutions including Great Lakes Institute of Management, Sri Sairam Engineering College, and PRIST University. Her academic pursuit culminated in a Ph.D. in Techno-Management, expected to be conferred in 2025. Dr. Ravichandran’s work bridges computer science innovation with pragmatic management principles, enriching both technical and managerial education. Her research primarily targets IoT in agriculture, cloud-based smart campuses, cybersecurity, and logistics optimization. She is widely published in IEEE Xplore and international journals and known for translating theory into practice through her progressive teaching and research approach. Her dedication to both engineering and management education continues to inspire the next generation of data-driven, technology-enabled professionals.

Author Profile

Google Scholar

Education

Dr. Arivumalar Ravichandran’s educational journey reflects her diverse and rich academic expertise. She began with an M.Sc. in Information Technology from A.D.M. College for Women, followed by an M.Phil. in Computer Science from Periyar University, both with First Class distinction. To deepen her technical capabilities, she pursued an M.Tech in Computer Science and Engineering from PRIST University. Demonstrating her interdisciplinary vision, she obtained an M.B.A. in Human Resource Management from Bharathidasan University, blending technological acumen with managerial skills. Currently, she is a Ph.D. scholar in Techno-Management at Dr. N.G.P Institute of Technology, Coimbatore, with completion anticipated in 2025. This comprehensive academic background enables her to explore computer science from both an engineering and organizational perspective, making her uniquely suited for research that involves smart technology deployment in business and societal contexts.

Experience 

Dr. Arivumalar Ravichandran’s career spans over 17 years across leading academic institutions in India. She currently serves as Assistant Professor in Analytics & Operations at Great Lakes Institute of Management (since January 2024). She previously held dual roles in Sri Sairam Engineering College and SRM Valliammai Engineering College, teaching both CSBS and MBA programs. Her foundational experience includes five years as Assistant Professor in CSE at P.R. Engineering College and earlier academic roles at ARJ College, S.K. College of Arts & Science, and RDB College. Her career trajectory reflects an interdisciplinary footprint across Computer Science, MCA, and Management departments. She has a proven record of mentoring students, leading IT programs, and integrating research with curriculum delivery. As a department head and senior faculty, she has contributed to shaping institutional academic strategies while also engaging in publication-worthy research that aligns with industry and technology trends.

Awards and Honors

Dr. Arivumalar Ravichandran has consistently demonstrated excellence in research, academia, and leadership, earning her accolades in each institution she served. Though formal award titles are not explicitly listed, her career reflects significant recognitions in the form of trusted appointments in interdisciplinary teaching roles and departmental leadership. Her successful publication in prestigious Scopus-indexed and IEEE Xplore conferences and journals stands as a testament to her scholarly impact. Additionally, she has presented at international conferences and contributed to critical discourse in areas such as IoT in agriculture and risk management in logistics. These achievements mark her as a respected scholar and mentor in both technical and management circles. Her elevation to Assistant Professor roles across diverse departments and her long-standing service history are indicative of institutional recognition and peer trust. Her work continues to gain traction in the broader academic community.

Research Focus

Dr. Arivumalar Ravichandran’s research is rooted in addressing real-world challenges through advanced computing technologies. Her interdisciplinary focus spans IoT, cloud computing, cybersecurity, AI-driven smart campuses, and risk analysis in logistics. One of her prominent works involves developing a hybrid data acquisition model for precision agriculture using IoT, showcased at the ICOEI 2023 conference. She also investigates the role of cloud computing in building smart campuses, highlighting scalable solutions for educational transformation. Her earlier work focused on cyber threats, specifically mitigating malicious scripting via content security policies. Moreover, she explores techno-managerial topics such as global transportation risk management—blending IT expertise with operational strategy. This blend of computer science and business intelligence forms the core of her research philosophy: leveraging technology for sustainable, secure, and efficient solutions. Her ongoing Ph.D. enhances this integrative approach, promising further contributions at the intersection of computing, analytics, and enterprise systems.

Publication Titles 

  1. A Hybrid Data Acquisition Model for Precision Agriculture using IoT – IEEE Xplore, ICOEI 2023

  2. Analysis of Developing IoT and Cloud Computing Based Smart Campuses and its Applications – IEEE ACCAI 2024

  3. A Study on Risk Management of Global Transportation Service – Research Journal of Humanities and Social Sciences, 2023

  4. Mitigating Malicious Scripting Attacks with a Content Security Policy – IJARTET, July 2017

Conclusion

Dr. Arivumalar Ravichandran stands as a transformative figure in computer science education and research, integrating cutting-edge technical knowledge with human-centric solutions. With her strong academic background, robust publication record, and diverse teaching experience, she is a deserving candidate for the Computer Science Award. Her work continues to make a significant impact in academia and applied research, particularly in areas like IoT, smart systems, and security, reflecting both innovation and practical relevance.

Phong Lam Nguyen Duy | Computer Science | Best Researcher Award

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Mr. Phong Lam Nguyen Duy | Computer Science | Best Researcher Award

👤 Mr. Phong Lam Nguyen Duy, University of Engineering and Technology – Vietnam National University, Vietnam

Phong Lam Nguyen Duy is a motivated undergraduate student in the Computer Science Department at the University of Engineering and Technology, Vietnam National University, Hanoi. Born on July 6, 2004, in Ha Dong, Hanoi, Phong Lam is passionate about exploring cutting-edge technologies in data science and artificial intelligence. His primary research interests include automated data quality assurance, machine learning algorithms, and advancements in large language models. Apart from academics, Phong Lam is actively involved in volunteering, demonstrating a commitment to fostering community development through initiatives like the ICPC Asia Pacific Championship and Hanoi Green Summer programs. A proactive learner and aspiring researcher, Phong Lam has already contributed as a university research assistant at the Intelligence Software Engineering Laboratory, where he leverages his problem-solving skills and technical expertise. Phong Lam aspires to contribute significantly to the field of Computer Science and aims to bridge gaps between theoretical concepts and real-world applications.

Professional Profile

Orcid

Suitability for the “Research for Best Researcher Award”

Summary of Suitability:
Phong Lam Nguyen Duy demonstrates remarkable potential as a candidate for the “Research for Best Researcher Award.” Currently pursuing undergraduate studies in the Computer Science Department at Vietnam National University, Hanoi, Phong has already begun contributing to cutting-edge research fields, including automated data quality assurance, machine learning, and large language models. These areas are highly relevant and impactful in today’s rapidly evolving technological landscape, showcasing his alignment with contemporary research priorities.

Phong’s involvement as a university research assistant at the Intelligence Software Engineering Laboratory since February 2024 highlights his active engagement in research at an early stage of his academic career. His recent publication, “Leveraging Local and Global Relationships for Corrupted Label Detection” (2025), reflects his ability to contribute to academic discourse and address challenges in machine learning—a field critical for advancements in artificial intelligence.

🎓 Education 

Phong Lam Nguyen Duy is pursuing his undergraduate degree in Computer Science at the University of Engineering and Technology, Vietnam National University, Hanoi. Since his enrollment in September 2022, he has been immersed in a rigorous academic curriculum focused on Information and Communication Technologies. The program emphasizes critical areas such as software development, data analysis, and systems design, providing him with a robust foundation in computer science. The university’s strong research culture has further fueled his interest in machine learning and automated data quality assurance. Phong Lam has actively engaged in research initiatives and academic projects, allowing him to apply his theoretical knowledge in practical contexts. The vibrant academic environment at Vietnam National University has cultivated his technical skills and problem-solving abilities, enabling him to stay at the forefront of technological advancements. He views his education as the stepping stone to a thriving career in computer science and artificial intelligence.

💼 Professional Experience 

Phong Lam Nguyen Duy is currently a research assistant at the Intelligence Software Engineering Laboratory, located in Hanoi, Vietnam. Since February 2024, he has been collaborating with faculty and fellow researchers to tackle challenges in automated data quality assurance and machine learning. His work primarily involves developing methodologies that improve data accuracy and reliability while optimizing machine learning models for large-scale datasets. Phong Lam’s role includes conducting literature reviews, designing experiments, and implementing cutting-edge algorithms to solve complex problems. His contributions are instrumental in advancing projects that integrate theoretical computer science with practical applications. As a research assistant, he has honed his analytical, programming, and communication skills, fostering his growth as a budding researcher. This professional experience has not only solidified his technical expertise but also instilled a passion for lifelong learning and innovation, preparing him for future endeavors in the rapidly evolving field of artificial intelligence.

🏅 Awards and Recognition 

Phong Lam Nguyen Duy has been recognized for his academic excellence, volunteer contributions, and research potential. His participation as a volunteer for the prestigious ICPC Asia Pacific Championship 2024 earned him commendations for his organizational skills and dedication to promoting computer science education. Additionally, his involvement in the Hanoi Green Summer 2023 showcased his commitment to community service, where he actively participated in environmental sustainability initiatives. Phong Lam’s academic achievements at Vietnam National University include consistent top performance in his courses, particularly in areas related to machine learning and data science. His appointment as a research assistant at the Intelligence Software Engineering Laboratory further highlights his aptitude and potential for innovation in the field. Through these accolades, Phong Lam has established himself as a well-rounded individual, excelling academically while contributing to society and pursuing impactful research in computer science.

🌍 Research Skills On Computer Science

Phong Lam Nguyen Duy possesses a strong skill set in computational research and data science. His expertise includes automated data quality assurance, where he develops methodologies to identify and correct errors in datasets, ensuring reliability for machine learning applications. Phong Lam has a keen understanding of machine learning algorithms and their optimization, with experience in designing and training models for diverse applications. His research focus also encompasses advancements in large language models, where he explores their capabilities for natural language processing tasks. As a research assistant, he has gained hands-on experience in experimental design, data preprocessing, and implementing scalable solutions. Proficient in programming languages like Python and R, Phong Lam is adept at leveraging tools such as TensorFlow and PyTorch for deep learning projects. His analytical mindset and problem-solving abilities make him an invaluable contributor to the ever-evolving landscape of artificial intelligence and computer science research.

📖 Publication Top Notes

Title: Leveraging local and global relationships for corrupted label detection
  • Journal: Future Generation Computer Systems
  • Year: 2025