Didi Rosiyadi| Cybersecurity| Best Researcher Award

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Prof. Didi Rosiyadi| Cybersecurity| Best Researcher Award 

Research Professor at Badan Riset dan Inovasi Nasional (BRIN), Indonesia.

Prof. Dr. Didi Rosiyadi is a distinguished Research Professor at the National Research and Innovation Agency (BRIN), Indonesia, specializing in artificial intelligence and cybersecurity. He earned his Ph.D. from NTUST, Taiwan, and has held leadership roles in prestigious research institutions. An esteemed educator and researcher, he has guided numerous postgraduate students and contributed significantly to computer science. Fluent in multiple languages, he actively collaborates globally and has received numerous grants for international research initiatives. Prof. Didi is also a prolific academic, serving as an editor and reviewer for various journals.

Profile

Scholar

Scopus

Education 🎓

Ph.D.: Computer Science and Information Engineering, NTUST, Taiwan (2008–2013). Master’s: Computer Science, University of Gadjah Mada, Indonesia (2001–2003). Bachelor’s: Computer Science, STMIK Bandung, Indonesia (1994–1999).

Experience 🏅

Research Professor: BRIN, 2023–Present. Lecturer: Various Indonesian universities (1999–Present). Leadership: Acting Director/Head, BRIN and LIPI (2016–2022). Editorial Roles: Chief Editor, Informatics and INKOM Journals.

Awards and Honors 🏆

Grants: BRIN-SIAT (China), BRIN-NTUST (Taiwan), LIPI Initiatives. Workshops: Asean IVO (Brunei), DAAD Summer School (Indonesia), CERN (Switzerland). Postdoctoral Programs: NTUST, Taiwan (2015, 2018). Global Collaborations: Mobility programs in Croatia, Thailand, and Geneva.

Research Focus 🔍

Domains: Artificial Intelligence, Cybersecurity, Data Security, and Informatics. Specializations: Measurement & indicators in technology and innovation. Global Research: Collaborations with institutions in Taiwan, Thailand, and Switzerland.

Conclusion

Prof. Dr. Didi Rosiyadi’s exemplary career, marked by leadership, global collaboration, and research excellence, positions him as a compelling nominee for the Best Researcher Award. By addressing minor gaps in publication impact and measurable leadership outcomes, he can further solidify his status as a top-tier candidate for this prestigious recognition.

Publication

  1. “A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling”
    • Year: 2025
    • Authors: Farfoura, M.E., Mashal, I., Alkhatib, A., Batyha, R.M., Rosiyadi, D.
    • Citations: 0

 

  1. “Privacy-preserving reservation model for public facilities based on public Blockchain”
    • Year: 2024
    • Authors: Basuki, A.I., Rosiyadi, D., Susanto, H., Setiawan, I., Salim, T.I.
    • Citations: 0

 

  1. “A Low Complexity ML-Based Methods for Malware Classification”
    • Year: 2024
    • Authors: Farfoura, M.E., Alkhatib, A., Alsekait, D.M., Rosiyadi, D., AbdElminaam, D.S.
    • Citations: 0

 

  1. “Approximation-based homomorphic encryption for secure and efficient blockchain-driven watermarking service”
    • Year: 2023
    • Authors: Rosiyadi, D., Basuki, A.I., Ramdhani, T.I., Susanto, H., Siregar, Y.H.
    • Citations: 3

 

  1. “Securing the Privacy of Transactions Using Blockchain: Swap Battery Framework for Massive Subsidy Electric Motorcycle in Jakarta”
    • Year: 2024
    • Authors: Santoso, T.M., Nidya Neyman, S., Rosiyadi, D., Sahreza, Y., Khunaifi, A.
    • Citations: 0

 

  1. “Network Flow-Based Dataset Generator Based on OpenFlow SDN”
    • Year: 2023
    • Authors: Sidiq, M.F., Basuki, A.I., Haris, A.I., Taufik Yuniantoro, R.M., Rosiyadi, D.
    • Citations: 0

 

  1. “A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking”
    • Year: 2023
    • Authors: Zhao, K., Niyogisubizo, J., Xiao, L., Rosiyadi, D., Wei, Y.
    • Citations: 1

 

  1. “BC-MTD: Blockchain-driven Moving Target Defense for Secure Vehicle Access”
    • Year: 2023
    • Authors: Sidiq, M.F., Basuki, A.I., Ramdhani, T.I., Susanto, H., Salim, T.I.
    • Citations: 0

 

  1. “Accelerating Encrypted Watermarking using Wavelet Transform and CKKS Homomorphic Encryption”
    • Year: 2022
    • Authors: Basuki, A., Setiawan, I., Rosiyadi, D., Ramdhani, T.I., Susanto, H.
    • Citations: 0

 

  1. “Improving Efficiency on BFV-based Encrypted Watermarking using Hadamard Product Decomposition”
    • Year: 2022
    • Authors: Basuki, A.I., Setiawan, I., Rosiyadi, D.
    • Citations: 2

Alaa Ali S Almohanna | Information Technology | Best Researcher Award

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Dr. Alaa Ali S Almohanna | Information Technology | Best Researcher Award

Dr at University of Wollongong, Australia

Alaa Almohanna is an early-career researcher with a PhD in Computing and Information Technology from the University of Wollongong, Australia. His expertise lies in Artificial Intelligence (AI), persuasive technology, and health informatics. Alaa is passionate about using AI to improve healthcare outcomes and mitigate bias in big data. As a researcher and teacher, he contributes to projects that promote equity in healthcare AI and fosters innovation in tech-driven healthcare solutions. He is committed to advancing knowledge and creating practical solutions to complex healthcare challenges.

Profile

Scopus

Orcid

Scholar

🎓 Education

Alaa holds a PhD in Computing and Information Technology (2024) from the University of Wollongong, Australia, where he also completed his MSc in Computer Science, Software Engineering (2015). He earned his Bachelor’s in Computer Science and Engineering (2008) from Taibah University, Saudi Arabia. Alaa’s academic journey reflects a strong foundation in computing, software engineering, and health-related technologies, preparing him for impactful research in the field of AI and health informatics.

💼 Experience

Alaa has worked as an Associate Researcher and Research Assistant at the University of Wollongong, contributing to projects focused on AI in healthcare. He has also been a part-time teaching staff member, developing innovative content and fostering inclusive learning environments. His research has involved operationalizing diversity in healthcare datasets and creating health-tech policy recommendations. He has worked on AI-related healthcare projects for the Australian Commission on Safety and Quality in Health Care, significantly impacting health governance.

🏆 Awards and Honors

Alaa received the Best Paper Award at the 18th International Conference on Persuasive Technology (PERSUASIVE 2023) for his exceptional research in persuasive technology. He also earned High Distinction in research training skills subjects and received recognition for his research contributions to AI in healthcare. Alaa’s dedication to advancing the field of health informatics and AI has been acknowledged by peers and institutions alike, further highlighting his commitment to academic excellence and research innovation.

🔬 Research Focus

Alaa’s research focuses on AI and persuasive technology, particularly in healthcare. He aims to address issues of data diversity and bias in healthcare AI systems. His studies include the development of mHealth apps to promote breastfeeding and healthcare decision-making. Alaa’s work extends to evaluating user experiences, promoting equitable AI, and contributing to healthcare policy development. His ongoing research explores how AI can improve patient outcomes while minimizing biases and ensuring fairness in healthcare delivery systems.

Conclusion

Alaa Almohanna is a highly capable and innovative researcher with a demonstrated track record of excellence in both research and teaching. His contributions to AI in healthcare, along with his recognition through prestigious awards, position him as a strong contender for the Best Researcher Award. His continued focus on operationalizing diversity and improving healthcare technologies promises to create a lasting impact on the field. With a potential for broader collaboration and further pedagogical development, Almohanna is poised for significant academic and professional growth.

📚Publications 

  1. Effectiveness of internet-based electronic technology interventions on breastfeeding outcomes: systematic review
    • Journal: Journal of Medical Internet Research
    • Date: 2020
    • DOI: e17361
    • Authors: AA Almohanna, KT Win, S Meedya

 

  1. Design and content validation of an instrument measuring user perception of the persuasive design principles in a breastfeeding mHealth app: A modified Delphi study
    • Journal: International Journal of Medical Informatics
    • Date: 2022
    • DOI: 104789
    • Authors: AAS Almohanna, KT Win, S Meedya, E Vlahu-Gjorgievska

 

  1. A study of women’s perceptions and opinions of a persuasive breastfeeding mHealth app
    • Conference: International Conference on Persuasive Technology
    • Date: 2023
    • Pages: 142-157
    • Authors: AAS Almohanna, S Meedya, E Vlahu-Gjorgievska, KT Win

 

  1. Exploring User Experiences with a Persuasive mHealth App for Breastfeeding: An Empirical Investigation
    • Journal: International Journal of Human–Computer Interaction
    • Date: 2024
    • Pages: 1-18
    • Authors: AAS Almohanna, S Meedya, E Vlahu-Gjorgievska, KT Win

 

  1. Operationalising data diversity for equitable artificial intelligence: A scoping review of health governance frameworks
    • Event: The Australasian Association of Bioethics and Health Law (AABHL) 2024 Conference
    • Date: 2024
    • Authors: AAS Almohanna, KT Win, AN Aguirre, YSJ Aquino

 

  1. Literature Review and Environmental Scan Report: AI Implementation in Hospitals: Legislation, Policy, Guidelines and Principles, and Evidence about Quality and Safety
    • Source: Australian Commission on Safety and Quality in Health Care
    • Date: 2024
    • Authors: F Magrabi, L Bates, K Brooke-Cowden, T Jayawardena, A Wang

 

  1. Exploring Persuasive System Design Features and Users’ Perceptions of an mHealth Breastfeeding App: A Mixed-Method Study
    • Date: 2024
    • Author: AAS Almohanna

 

Bhanu Shrestha | Computer Science | Best Researcher Award

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Prof. Bhanu Shrestha | Computer Science | Best Researcher Award

Professor at Kwangwoon University, South Korea

Bhanu Shrestha is a Full Professor at Kwangwoon University, Korea. He holds expertise in electronic engineering with a background in various academic and professional roles, including Assistant and Associate Professorships at the same institution. A native of Nepal, he is passionate about research, education, and cultural exchange. Bhanu has also published books, research papers, and contributed to documentaries and music albums. His involvement extends to editorial positions, being Editor-in-Chief of the International Journal of Advanced Engineering since 2018. He is known for his academic and social contributions, particularly in the field of information technology and engineering.

 

Profile

Scopus

Orcid

 🎓 Education

Ph.D. in Electronic Engineering, Kwangwoon University, Seoul, Korea (2004-2008). M.S. in Electronic Engineering, Kwangwoon University, Seoul, Korea (2002-2004). B.S. in Electronic Engineering, Kwangwoon University, Seoul, Korea (1994-1998). S.L.C. from Bhim Secondary School, Dolakha, Nepal (1982)

💼 Experience

Adjunct Professor, Kwangwoon University, Korea (2008-2011). Assistant Professor, Kwangwoon University, Korea (2011-2016). Associate Professor, Kwangwoon University, Korea (2016-2021). Full Professor, Kwangwoon University, Korea (2021-Present). Bhanu Shrestha has held various academic positions, contributing significantly to the field of electronic engineering and nurturing the next generation of engineers. He has also been involved in leadership roles in professional organizations.

🏆 Awards and Honors

Achievement Award, IIBC Korea (2015). Best Paper Award, ISSAC 214 & ICACT 2014, IIBC, Seoul, Korea (2014). Excellent Paper Award, Korea Institute of Information Technology (2012). Certificate of Honorary Citizenship, Seong-buk District Office, Seoul, Korea (2012). Bellwave Excellent Paper Award, Korea Electromagnetic Engineering Society (2005). Vidhyabhusan Padak (Gold Medal), Nepal (2009) Bhanu has earned several prestigious awards, recognizing his academic excellence and contributions to research and development in engineering.

🔬 Research Focus

Bhanu Shrestha’s research interests include Internet of Things (IoT), artificial intelligence (AI), microelectromechanical systems (MEMS), and fuzzy logic applications in communication technology. His work also explores biosensors and nanotechnology for environmental remediation. As a guest editor for multiple journals, Bhanu’s research aims to push the boundaries of innovation in electronic engineering and its practical applications, particularly in smart systems and AI.

Conclusion

Bhanu Shrestha’s contributions to electronic engineering and technology, coupled with his leadership in academia, make him a highly deserving candidate for the Best Researcher Award. His accomplishments in publishing influential works, along with his global impact in the fields of artificial intelligence, IoT, and nanotechnology, showcase his research excellence. With continued collaboration and expansion into emerging areas, he is well-positioned to make even more significant strides in the scientific community, further cementing his legacy as a top researcher.

Publications 📚

Abhisek Banerjee | Cybersecurity | Best Researcher Award

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Mr. Abhisek Banerjee | Cybersecurity | Best Researcher Award

Mr at Indian Institute of Information Technology India

Abhisek Banerjee is a Lead Technical Architect with over 19 years of IT experience, specializing in AI, Cloud Security, Digital Transformation, and Application Integration. He is currently a PhD scholar at the Indian Institute of Information Technology, Kalyani, focusing on Gen AI-based security solutions. With deep expertise in cloud platforms (Oracle Cloud, AWS, Azure), he has led numerous enterprise-level digital transformation projects, integrating cutting-edge technologies like Langchain, Hugging Face, TensorFlow, and Keras to drive business innovation. His work emphasizes enhancing operational efficiency, securing data, and mitigating security vulnerabilities in multi-cloud environments.

Profile

Scopus

 

Education 🎓

PhD (Pursuing) – Indian Institute of Information Technology, Kalyani, India. ME (IT – Software Engineering) – Jadavpur University, 2005, 81.6%. BTech (Electronics & Telecom Engineering) – University of Kalyani, 2003, 81.4%. Higher Secondary (12th) – R.K.M.V.C.College, Rahara [WBBHSC], 1999, 85%.; Secondary (10th) – R.K.M. Boys’ Home High School, Rahara [WBBSE], 1997, 90.3%

Experience 🧑‍🏫

With over 19 years of experience, Abhisek Banerjee has handled large-scale digital transformation initiatives, focusing on multi-cloud environments (Oracle Cloud, AWS, Azure). He has led projects in application modernization, data integration, and cloud security, architecting solutions using cutting-edge technologies such as Langchain, Hugging Face, TensorFlow, and Keras. He has engineered seamless data integration frameworks, API-led connectivity, and cloud-native security solutions, ensuring compliance and data protection. Additionally, Abhisek has worked on the design of microservices, DevOps automation, and advanced machine learning models for cloud security. His contributions include deploying robust data privacy measures and threat detection frameworks across cloud platforms.

Awards and Honors 🏆

Research Excellence Award (GEU, DDN) in 2015 for outstanding research contributions. Early Career Research Award from the Science and Engineering Research Board (SERB), 2017. DST Travel Grant (2012) to attend an international conference in Pittsburgh, USA. Best Paper Presentation Award at TriboIndia-2023 Conference, NIT Srinagar. GUCOST and DTE Funding for workshops on cloud technologies and security. Membership in the International Association of Advanced Materials (IAAM) for five years.

Research Focus 🔍

Abhisek’s research focuses on cloud security vulnerabilities, with a specific interest in the detection and remediation of covert malware attacks using machine learning and deep learning techniques. His work integrates Generative AI, CNN, Vision Transformer, and GAN models to address threats like steganography-based backdoor attacks in cloud environments. By utilizing Computer Vision techniques and AI-driven models, he aims to develop intelligent security solutions that can proactively identify and neutralize security threats. Abhisek’s current projects involve training custom AI models for threat detection and deploying them within multi-cloud architectures to ensure data integrity and privacy. His research has the potential to revolutionize cybersecurity strategies in cloud and IoT ecosystems.

Conclusion ✅

This individual demonstrates significant research excellence, particularly in Metallurgical & Materials Engineering, with notable contributions recognized by both national and international bodies. Their impressive list of awards, research experience, and funding achievements make them a strong contender for the Best Researcher Award. By expanding their research collaborations, improving visibility in high-impact journals, and engaging more publicly in research discourse, they can further enhance their profile and continue making substantial contributions to their field.

Publications 📚

  • “A Study on Multivariable Process Control Using Message Passing Across Embedded Controllers”
    • Journal: ISA Transactions
    • Volume: 46(2), Pages 247–253
    • Year: 2007
    • Authors: Das, M.; Banerjee, A.; Ghosh, R.; Chandra, A.K.; Gupta, A.
    • Citations: 6

 

  • “A Study on Hardware-in-Loop Simulation with Embedded Controllers Using TCP/IP and UDP”
    • Conference: 3rd International Conference on Computing, Communications and Control Technologies (CCCT 2005)
    • Volume: 3, Pages 103–108
    • Year: 2005
    • Authors: Banerjee, A.; Das, M.; Ghosh, R.; Balasubramanian, R.; Gupta, A.
    • Citations: 1

 

Abdallah Houcheimi | Agronomy | Best Researcher Award

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Mr. Abdallah Houcheimi | Agronomy | Best Researcher Award

 

Mr at Abo Akademi University Finland

University instructor and researcher in information systems specializing in Data Management, E-Commerce, Knowledge Management, Business Intelligence, Supply Chain, and Operations Management. Currently pursuing a D.Sc. in Information Systems at Åbo Akademi University (ÅAU), focusing on e-commerce, decision analytics, and artificial intelligence solutions for business domains.

profile

Orcid

📚 Education

D.Sc. Information Systems (expected October 2024) Åbo Akademi University (ÅAU) – Turku, Finland, Master of Business Administration – International Business (Merit), 2015 University of Liverpool – United Kingdom, B.S. in Information Technology, 2006 Lebanese International University – Lebanon

🎓 Teaching & Professional Experience

2023 – Present Åbo Akademi University (ÅAU) Full-time doctoral researcher. 2017 – 2023 Lebanese International University Instructor and research supervisor in the MIS department. Assistant Dean (2018 – 2021) – School of Business (Reyak Campus). 2022 – 2023 MSF Bar Elias Hospital Medical Data Supervisor. 2015 – 2016 Alpha Data Abu Dhabi, UAE Managing and implementing IT projects including VDI, Applications Virtualization, and Mobility using Citrix and VMWare technologies. 2007 – 2014 Abu Dhabi Investment Authority (ADIA) Abu Dhabi, UAE Information Technology Analyst and IT Project Leader. 2006 – 2007 Exceed IT Services Company Abu Dhabi, UAE Information Technology Support Analyst

Publications Top Notes

  • Houcheimi, A., & Mezei, J. (2024). The Role of Secure Online Payments in Enabling the Development of E-Tailing. Journal of Organizational Computing and Electronic Commerce, 1–19. Link

 

  • Houcheimi, A., Mezei, J. (2024). The Role of Online Product Information in Enabling Electronic Retail/E-tailing. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Link

 

  • Houcheimi, A. (2022). The Key E-Tail Opportunities and Challenges in The Lebanese E-Commerce Market. Journal of Information System and Technology Management, 7(26), 13-31. Link

 

  • Houcheimi, A. (In Press). The role of social media networks in enabling the development of electronic retail (e-tailing). Submitted to Knowledge and Information Systems Journal.