Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

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Assoc. Prof. Dr. Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

Abu Dhabi University | United Arab Emirates

Assoc. Prof. Dr. Modafar Ati is an accomplished academic and researcher in Computer Science and Information Technology with extensive experience in teaching, curriculum development, and leadership. He holds a BSc in Electrical & Communication Engineering and a PhD in Electrical & Computing Engineering from Newcastle upon Tyne, UK. Dr. Ati has over three decades of experience in both academia and industry, serving in senior roles including Associate Professor at Abu Dhabi University, Acting Dean at Sohar University, and Assistant Dean at multiple institutions in Oman. His professional expertise spans software development, systems integration, networking, ICT, project management, Service-Oriented Architecture (SOA), Artificial Intelligence, Big Data, Cybersecurity, and eHealth smart systems. He has published numerous research articles focusing on AI-driven Chronic Disease Management and smart healthcare systems and has led research groups in eGovernment and ICT. Dr. Ati has received multiple grants and awards, including the Chancellor Innovation Award, and serves on editorial boards and as a senior reviewer for international journals and conferences. His teaching portfolio covers programming, network security, project management, human-computer interaction, and mobile application development. Dr. Ati’s contributions to education, research, and innovation reflect a strong commitment to advancing technology-driven solutions in healthcare, smart cities, and digital systems.

Profile : Google Scholar

Featured Publications

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Efficient chronic disease diagnosis prediction and recommendation system” in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 209–214.

Mohamed, O., Kewalramani, M., Ati, M., & Al Hawat, W. (2021). “Application of ANN for prediction of chloride penetration resistance and concrete compressive strength” in Materialia, 17, 101123.

Mohamed, O. A., Ati, M., & Najm, O. F. (2017). “Predicting compressive strength of sustainable self-consolidating concrete using random forest” in Key Engineering Materials, 744, 141–145.

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Accurate and reliable recommender system for chronic disease diagnosis” in Global Health, 3(2), 113–118.

Ati, M., Kabir, K., Abdullahi, H., & Ahmed, M. (2018). “Augmented reality enhanced computer aided learning for young children” in 2018 IEEE Symposium on Computer Applications & Industrial Electronics.

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.

Sharon L Burton | Cybersecurity Data Analysis | Best Researcher Award

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Mr. Sharon L Burton | Cybersecurity Data Analysis | Best Researcher Award

Embry-Riddle Aeronautical University | United States

Dr. Sharon L. Burton is a distinguished faculty member and industry consultant whose work bridges cybersecurity governance, risk management, AI‑driven education, and human resources strategy. She holds a Ph.D. in Cybersecurity Leadership (2022) and a DBA in Quality Systems Management (2015), alongside dual MBAs in Management and HRM. Her career spans roles as Assistant Professor of the Practice in the College of Aviation at Embry‑Riddle and Doctoral Dissertation Chair at Capitol Technology University. Dr. Burton has authored 38 documents with 157 citations, reflecting an h‑index of 5, demonstrating substantial contributions across domains. Her research interests include cybersecurity leadership, organizational behaviour in cyber contexts, AI/augmented education, and workforce resilience. She has published notable articles such as “Cybersecurity Leaders: Knowledge Driving Human Capital Development” and “Exploring the Nexus of Cybersecurity Leadership, Human Factors, Emotional Intelligence, Innovative Work Behavior and Critical Leadership Traits.” Her teaching embodies a student‑centred philosophy: hands‑on projects, reflective feedback, ethical responsibility, and real‑world problem solving. Among her recognitions are awards for teaching excellence, leadership development, and organisational transformation. In summary, Dr. Burton effectively synthesizes academic rigour and practitioner insight to prepare graduates and organisations for leadership in an ever‑evolving cybersecurity landscape.

Profiles : Scopus | Orcid

Featured Publications

Burton, S. L. (2025). “A Modular Framework for Cybersecurity Laboratory Design in Higher Education.” Laboratories.

Burton, S. L. (2025). “Navigating Digital Transformation.” In Book Chapter.

Burton, S. L. (2025). “Digital Saboteurs: Unmasking Insider Cybersecurity Threats in Aviation and Aerospace.” Law, Economics and Society.

Burton, S. L. (2024). “Advancing Cybersecurity.” In Book Chapter.

Burton, S. L. (2024). “Cybersecure Futures.” In Book Chapter.

Greene, B. A., & Burton, S. L. (2024). “Organizational Readiness for Artificial Intelligence (AI) in Network Security.” In Book Chapter.

Basharat Ali | Cybersecurity Data Analysis | Best Researcher Award

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Dr. Basharat Ali | Cybersecurity Data Analysis | Best Researcher Award

Nanjing University | China

Dr. Basharat Ali is a dedicated researcher and PhD scholar in Computer Science at Nanjing University, China, with a strong academic foundation in Software Engineering from Northeastern University, China, and the University of Swat, Pakistan. His professional journey includes roles as a Software Developer at Neusoft (China) and RaidIT Solution (Pakistan), where he gained hands-on expertise in programming, system architecture, and cross-border e-commerce platforms. His research focuses on network security, blockchain development, IoT infrastructure protection, and the integration of deep learning techniques for cyber defense. Dr. Ali has published influential works such as “An Efficient E-Voting Algorithm and DApp Using Blockchain Technology” and “Towards a Secure Infrastructure for the IoT’s Using Deep Learning.” His scholarly contributions have achieved an h-index of 4, with 79 citations and 2 indexed documents, reflecting the growing impact of his work in secure digital ecosystems. He has also been recognized for his innovation and technical creativity in decentralized systems and smart contract applications. Combining academic research with practical software engineering and design expertise, Dr. Ali aims to advance global cybersecurity through intelligent, transparent, and scalable blockchain-based systems that shape the next generation of secure digital environments.

Profiles : Orcid | Google Scholar

Featured Publications

Ali, B., & Chen, G. (2025). Next-generation AI for advanced threat detection and security enhancement in DNS over HTTPS. Journal of Network and Computer Applications.

Ali, B. (2022). An Efficient E-Voting Algorithm and DApp Using Blockchain Technology.

Ali, B. (2021). Towards a Secure Infrastructure for the IoT’s Using Deep Learning. Multidisciplinary International Journal of Research and Development.

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.

xiaolan yu | Big Data Analytics | Best Researcher Award

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Prof. xiaolan yu | Big Data Analytics | Best Researcher Award

Prof. xiaolan yu | Big Data Analytics | Anhui Normal University | China

Prof. Xiaolan Yu is a leading scholar in civil and commercial law, specializing in intellectual property law, data law, and civil law theory. She is a professor and doctoral supervisor at Anhui Normal University and serves as the Secretary of the Civil Law Party Branch. With visiting experience at Oxford, Wisconsin, and Hong Kong, she contributes widely to legal academia and policymaking. She holds editorial and review positions in national and international platforms and actively participates in academic societies and legal advisory roles. Her research has significantly shaped China’s data rights and digital governance discourse.

Professional Profile

ORCID

Education 

Prof. Xiaolan Yu earned her Ph.D. in Civil and Commercial Law from Fudan University (2014), after completing her Master’s and Bachelor’s degrees at Anhui University of Finance and Economics (2004–2007, 2000–2004). She later undertook a postdoctoral fellowship in Intellectual Property Law at Shanghai Jiao Tong University (2018–2022). Her academic trajectory includes prestigious visiting scholar appointments at the University of Oxford (2023–2024), the University of Wisconsin (2017–2018), and the University of Hong Kong (2016), supported by national and university scholarships. Her education deeply informs her authoritative research on data law, civil law theory, and intellectual property law.

Professional Experience

Since 2007, Prof. Yu has held teaching roles at Zhaotong Teachers’ College, Sanya College of Hainan University, and since 2014, at Anhui Normal University. She currently serves as a professor and doctoral supervisor, Party Branch Secretary, and Director of the Data Law Research Centre. She has also completed a postdoctoral fellowship at Shanghai Jiao Tong University. Beyond academia, she acts as an arbitrator, legal consultant, and policy advisor across multiple provincial and municipal institutions. She is widely involved in legal education reform, talent cultivation, and empirical legal research projects funded at national, ministerial, and provincial levels.

Awards and Recognition 

Prof. Yu has received over 15 prestigious awards, including the 2025 “Responsible Review Expert” by the National Social Science Fund and the “Top Talented Young Scholar” of Anhui Province. Her essays have won prizes at the “Yangtze River Forum”, the China Law Society Youth Forum, and the “Central Rise Rule of Law Forum”. She was awarded first prizes for excellent doctoral studies at Fudan University and multiple teaching competition accolades. Her mentorship has led student teams to win in national competitions such as the “Challenge Cup” and “Internet+” innovation programs, underscoring her dual impact in research and pedagogy.

Research Skills and Focus 

Prof. Yu’s research integrates civil law, data law, and intellectual property through empirical and interdisciplinary approaches. Her pioneering “Dualism of Data Rights and Interests” has influenced data governance theory in China. She excels in legal analysis, policy advisory, and project leadership, having directed National Social Science Fund projects and provincial think tanks. Her work addresses data property rights, algorithm regulation, personal information protection, and big data governance. Proficient in both doctrinal and comparative methods, she contributes to SSCI and CSSCI journals and has presented at key international and domestic legal forums, establishing herself as a top data law scholar.

Publications

Unraveling the balance between personal data protection and public interest: a theoretical framework and its empirical application in personal data processing

  • Authors: Yu Jiang, Xiaolan Yu, Youjia Qin

  • Journal: Journal of Chinese Governance

  • Year: 2025

Current status and governance of data assets monetization in the global maritime industry: A comparative study of the United States, Europe, and China

  • Authors: Zeng Yuan, Xiaolan Yu, Yu Jiang, Jianwei Sun, Zhihong Liu, Boyang Li

  • Journal: Ocean & Coastal Management

  • Year: 2024

Theoretical and Practical Aspects of Data Asset Monetization in Maritime Enterprises

  • Authors: Yu Jiang, Xiaolan Yu

  • Journal: Fudan Journal of the Humanities and Social Sciences

  • Year: 2024

Legal Coordination of Conflicts of Interests among Stakeholders in the Processing of Personal Data

  • Authors: Xiaolan Yu

  • Journal: Fudan Journal of the Humanities and Social Sciences

  • Year: 2022

Allocating Personal Data Rights: Toward Resolving Conflicts of Interest over Personal Data

  • Authors: Xiaolan Yu

  • Journal: Fudan Journal of the Humanities and Social Sciences

  • 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

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

 

Martin Andreoni – Network Security – Best Researcher Award

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Dr. Martin Andreoni - Network Security - Best Researcher Award

Technology Innovation Institute - United Arab Emirates

Author Profile

Early Academic Pursuits

Dr. Martin Andreoni embarked on his academic journey with a Bachelor of Science in Electronic Engineering from the National University of San Juan, Argentina, from March 2004 to November 2011. This laid the groundwork for his subsequent academic pursuits. Following this, he pursued a Master of Science in Electrical Engineering at the Federal University of Rio de Janeiro, Brazil, from June 2012 to March 2014, further deepening his understanding of engineering principles.

His academic trajectory culminated in a joint Ph.D. in Computer Science and Electrical Engineering from Sorbonne University in Paris, France, and the Federal University of Rio de Janeiro, Brazil, from June 2014 to July 2018. This interdisciplinary approach fostered a comprehensive understanding of both theoretical and practical aspects of computer science and electrical engineering, providing a solid foundation for his future research endeavors.

Professional Endeavors

Dr. Andreoni seamlessly transitioned from academia to industry, commencing his professional career as an External Consultant at ASINELSA SA, San Juan, Argentina, from October 2013 to June 2018. During this period, he provided invaluable IT consulting services, honing his expertise in Big Data, cloud computing, networking, and programming.

Subsequently, he joined Samsung Electronics, Campinas, Brazil, as a Senior Security Researcher from July 2018 to October 2020. Here, he spearheaded research and development efforts to enhance the security of flagship Samsung devices, leveraging machine learning techniques and coordinating multifaceted teams.

His career trajectory led him to the Technology Innovation Institute (TII) in Abu Dhabi, United Arab Emirates, where he assumed the role of Lead Network Security Researcher from October 2020 to April 2023 and later transitioned to the position of Principal Researcher in April 2023. At TII, Dr. Andreoni has been instrumental in driving applied research and development initiatives focused on security and distributed systems, particularly for secure autonomous systems.

Contributions and Research Focus

Dr. Andreoni's contributions extend across a spectrum of domains, including machine learning, mobile networks, cloud computing, cyber-security, software-defined networks, big data, and the Internet of Things (IoT). His research endeavors have addressed real-world security challenges through innovative approaches such as cloud computing, big data analytics, and intrusion detection techniques.

He has actively participated in international collaborations and research projects, contributing to initiatives like the SecuriTy in Real-time with Elasticity, Analytic, and Monitoring (STREAM) Project and the Secure and Unified Network Infrastructure (SUNI) Project. His research outcomes have been disseminated through numerous journal publications, conference papers, and patents, reflecting his commitment to advancing knowledge in the field.

Accolades and Recognition

Throughout his career, Dr. Andreoni has garnered widespread recognition for his contributions. Noteworthy accolades include the TII Nova Award in Q2 2022 for outstanding performance, as well as several Best Paper and Demo Awards for his research contributions. His work has been acknowledged by prestigious organizations and conferences, underscoring the significance of his contributions to the field of computer science and engineering.

Impact and Influence

Dr. Andreoni's research has had a tangible impact on both industry and academia, with his innovations deployed in products such as Samsung smartphones, thereby enhancing the security of resource-constrained devices. His leadership in international research collaborations and engagement with renowned universities have facilitated knowledge exchange and technological advancements, contributing to the global research ecosystem.

Legacy and Future Contributions

As Dr. Andreoni continues to pursue his research interests in machine learning, mobile networks, cloud computing, cyber-security, and beyond, his legacy of excellence and innovation will endure. Through mentorship and collaboration, he seeks to inspire the next generation of researchers and engineers, leaving an indelible mark on the field and shaping the future of secure autonomous systems and beyond.

Notable Publication

 

Irfanullah Khan – Information and Communication Technologies – Best Researcher Award 

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Mr. Irfanullah Khan - Information and Communication Technologies - Best Researcher Award 

University of Calabria - Italy

Author Profile

Early Academic Pursuits

Mr. Irfanullah Khan embarked on his academic journey with a keen interest in Electrical Engineering, specializing in Communication. He demonstrated early academic prowess, evident from his Higher Secondary School Certificate and Secondary School Certificate achievements in Science Group, laying a robust foundation for his future academic pursuits. His thirst for knowledge led him to pursue a Bachelor's degree in Electrical Engineering (Communication) from the esteemed University of Engineering & Technology Peshawar, Pakistan. During his undergraduate years, he delved into research, culminating in his thesis on "Real-Time Bus Arrival Information System," showcasing his early inclination towards innovative solutions to real-world problems.

Professional Endeavors

Mr. Khan's professional journey commenced with a significant milestone - securing a Teaching Certificate from Allama Iqbal Open University, Islamabad, Pakistan. This certification equipped him with the pedagogical skills necessary for his subsequent roles. Subsequently, he ventured into the realm of Information Technology, earning a Diploma in Information Technology from Pearl Lakki Marwat, Pakistan. His diverse educational background laid the groundwork for his multifaceted career trajectory.

His technical acumen and passion for research propelled him into the corporate world, where he served as a Technical Officer at China Mobile, Pakistan. This role provided him with hands-on experience in the telecommunications industry, honing his practical skills and understanding of industry dynamics. Additionally, his tenure as a Teaching & Research Assistant at the University of Calabria showcased his commitment to academia, where he imparted knowledge in Python Machine Learning to MS students, bridging the gap between theoretical concepts and practical applications.

Contributions and Research Focus

Mr. Khan's research focus spans a plethora of cutting-edge topics, including IoT, Energy Efficiency, Smart Buildings, Occupancy Prediction, and Activity Recognition. His doctoral research at the University of Calabria delves into the intersection of Information and Communication Technology, exploring innovative solutions to enhance energy efficiency and predictive analytics in smart building environments. His contributions to academia are underscored by a series of research publications, elucidating his expertise in areas such as UWB Radar Technology for Activity Recognition, Occupancy Prediction leveraging Federated Learning, and Priority-based Content Dissemination in Vehicular Networks.

Accolades and Recognition

Throughout his academic and professional journey, Mr. Khan has garnered prestigious accolades and recognition, validating his contributions to the field. Noteworthy achievements include receiving the Chinese Government Scholarship, Best Paper Award at an International IEEE Conference, and accolades for his exemplary Final Year Project during his undergraduate studies. These accolades underscore his academic excellence and innovative prowess, positioning him as a trailblazer in his field.

Impact and Influence

Mr. Khan's research endeavors have made a significant impact on academia and industry alike. His publications serve as seminal contributions to the field, addressing pressing challenges in IoT, Energy Efficiency, and Predictive Analytics. Furthermore, his role as a Teaching Assistant and Research Assistant underscores his commitment to knowledge dissemination and mentorship, shaping the next generation of scholars and practitioners in the field of Information and Communication Technology.

Legacy and Future Contributions

As Mr. Khan continues to advance in his academic and professional journey, his legacy is poised to leave an indelible mark on the field of Information and Communication Technology. His interdisciplinary research approach, coupled with a passion for innovation, promises to revolutionize smart building technologies and predictive analytics. With a commitment to excellence and a thirst for knowledge, Mr. Khan's future contributions are bound to shape the trajectory of research in IoT, Energy Efficiency, and beyond, leaving a lasting legacy for generations to come.

Notable Publication