Mr. Md Tanvir rahman Tarafder | Information Technology | Best Researcher Award

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Mr. Md Tanvir rahman Tarafder | Information Technology  | Best Researcher Award

Data analysis, Westcliff university, United States

Tanvir Rahman Tarafder is a passionate and results-driven cloud computing professional with a strong foundation in software development and IT solutions. With expertise in AWS services, including EC2, S3, Lambda, and RDS, he thrives in building scalable and efficient cloud-based architectures. His journey from a Computer Science graduate to a cloud enthusiast reflects his commitment to innovation and problem-solving. Beyond his technical expertise, Tanvir is a team player and excellent communicator, always eager to explore new technological advancements and contribute to impactful projects.

Publication Profile

Google Scholar

Academic Background 🎓

Tanvir is currently pursuing a Master’s in Information Technology (Cloud Computing) at Westcliff University, USA, maintaining an impressive CGPA of 3.96 (expected 2025). He earned his Bachelor of Science in Computer Science & Engineering from American International University-Bangladesh (AIUB) with a CGPA of 3.23 (2018-2021). His strong academic performance is complemented by a solid foundation in programming, databases, and cloud infrastructure. His early education includes a Higher Secondary Certificate from Dhaka City College and a Secondary School Certificate from Bogura Cantonment Public School & College, where he excelled with top grades.

Professional Experience 💼

Tanvir has gained diverse industry experience in various technical and consultancy roles. As an IT Officer at SM Fintech Technologies Ltd., he managed website maintenance, configured email servers, reviewed vendor contracts, and coordinated IT purchases to optimize business operations. His passion for academia led him to work as a Teaching Assistant at AIUB, where he supported students in Computer Graphics courses. Additionally, his role as an International Student Consultant at Revolution Student Consultancy allowed him to guide over 50 students in securing admissions to American universities. His expertise spans cloud computing, software development, and IT consultancy, making him a versatile professional.

Awards and Honors 🏆

Tanvir has demonstrated his technical excellence through multiple industry-recognized certifications. He holds the AWS Certified Solutions Architect Associate (Valid till 2030) and AWS Certified Cloud Practitioner (Valid till 2029), showcasing his deep expertise in cloud computing. Additionally, he has earned certifications in Python programming and front-end web development from prestigious platforms. These achievements highlight his continuous learning mindset and dedication to staying ahead in the tech industry.

Research Focus 🔬

Tanvir’s research focuses on leveraging Artificial Intelligence (AI) and Machine Learning (ML) in cloud computing, predictive analytics, and smart systems. His work includes forecasting Electric Vehicle adoption, AI-driven smart grid optimization, and transformative AI applications in healthcare. His passion for exploring AI’s role in solving real-world problems reflects his commitment to advancing technology for societal benefits. He has contributed to multiple peer-reviewed publications, addressing challenges in water quality analysis, synthetic e-commerce data insights, and medical imaging advancements.

Conclusion 🌟

With a strong technical foundation, hands-on cloud computing experience, and a keen research interest in AI-driven solutions, Tanvir Rahman Tarafder stands out as a forward-thinking innovator in the field of cloud technology and AI. His ability to bridge academic knowledge with practical applications makes him a valuable asset in any technology-driven organization. His continuous pursuit of excellence and eagerness to contribute to groundbreaking research and development mark him as a promising professional in the ever-evolving tech landscape.

Top Publications 📚

Forecasting Electric Vehicle Adoption in the USA Using Machine Learning Models
Published in: Journal of Computer Science and Technology Studies (2024)
Cited by: 12 articles

Discoverable Hidden Patterns in Water Quality through AI, LLMs, and Transparent Remote SensingPublished in: 2024 17th International Conference on Security of Information and Networks (2024)
Cited by: 9 articles

Integrating Transformative AI for Next-Level Predictive Analytics in Healthcare
Published in: IEEE Conference on Engineering Informatics (ICEI) (2024)
Cited by: 9 articles

Optimizing Load Forecasting in Smart Grids with AI-Driven Solutions
Published in: IEEE International Conference on Data and Software Engineering (ICoDSE) (2024)
Cited by: 7 articles

A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging
Published in: Diagnostics Journal (2025)
Cited by: (Pending)

Leveraging Machine Learning for Insights and Predictions in Synthetic E-commerce Data in the USA: A Comprehensive Analysis
Published in: (Journal details pending)
Cited by: (Pending)

Prof. Dr. YiSheng Huang | Computer Science | Best Researcher Award

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Prof. Dr. YiSheng Huang | Computer Science | Best Researcher Award

Professor, National Ilan University/EE, Taiwan

Dr. Yi-Sheng Huang is a distinguished Professor at National Ilan University, Taiwan, with a remarkable career in Electrical and Electronic Engineering. Holding a Ph.D. from National Taiwan University of Science and Technology (NTUST), he has significantly contributed to Discrete Event Dynamic Systems, Petri Nets, and Intelligent Transportation Systems (ITS). Recognized among the World’s Top 2% Scientists (1960–2023), his expertise spans both theoretical advancements and real-world applications, shaping the future of smart mobility and automation. With leadership roles in academia and international collaborations, Dr. Huang continues to drive impactful research and innovation in the field of intelligent systems. 🚀

Publication Profile

📚 Academic Background

Dr. Yi-Sheng Huang earned his Ph.D. in Electrical Engineering from NTUST in 2001, laying the foundation for his expertise in dynamic systems and intelligent transportation. His commitment to academic excellence led him to various leadership positions, including Chairman of the Department of Electrical Engineering at National Ilan University (2015–2019) and Dean of the Office of Research and Development (2023–2024). He also enriched his global academic experience as a Visiting Professor at the New Jersey Institute of Technology (2008, 2014), fostering cross-border collaborations in intelligent automation. 🎓

🏢 Professional Experience

With over two decades of academic and research contributions, Dr. Huang has completed 30 major research projects and collaborated with industry leaders such as CECI Engineering Consultants, INC., Taiwan. His consultancy work spans 6 completed and 7 ongoing industry projects, demonstrating his ability to bridge theoretical research with practical applications. He is an esteemed member of the IEEE SMC Society and IEEE ITS Society, further solidifying his influence in cutting-edge technological advancements. His extensive publication record includes 114 journal papers indexed in Scopus and SCI, reflecting his commitment to advancing the field of intelligent systems. ⚡

🏆 Awards and Honors

Dr. Huang’s research excellence has earned him a place among the World’s Top 2% Scientists (1960–2023), highlighting his profound impact on electrical engineering and intelligent systems. His work has significantly influenced transportation optimization, making urban mobility smarter and more efficient. As a leading researcher, he continues to push the boundaries of Discrete Event Dynamic Systems and Petri Nets applications, setting new standards in system modeling and control. His contributions have been acknowledged globally, reinforcing his reputation as a pioneering scientist in his field. 🏅

🔬 Research Focus

Dr. Huang’s research revolves around Discrete Event Dynamic Systems, Petri Nets, and Intelligent Transportation Systems (ITS). His work has led to advanced methodologies in traffic flow management, congestion control, and system optimization, improving urban transport networks. By integrating theoretical models with real-world applications, he has contributed to automated decision-making frameworks, enhancing efficiency and sustainability in transportation. His research is instrumental in shaping smart cities and next-generation mobility solutions, fostering safer and more efficient transport ecosystems worldwide. 🚦

🔍 Conclusion

Dr. Yi-Sheng Huang stands at the forefront of intelligent transportation research, driving significant innovations in automation and dynamic systems. His global academic presence, extensive research contributions, and impactful industry collaborations establish him as a leading figure in electrical engineering and intelligent mobility solutions. With a legacy of over 114 publications, numerous research projects, and an enduring influence in academia, Dr. Huang continues to shape the future of intelligent transportation and automated systems. 🌍🚀

📝 Top Publications

A Petri net-based model for real-time traffic control in urban networks.

Optimization of discrete event systems using hybrid Petri nets.

Modeling and performance analysis of ITS using dynamic Petri nets.

Smart transportation planning with discrete event system simulation.

Enhancing automated transport systems using intelligent Petri nets.

 

Dr. Sotirios Brotsis | Internet of Things | Best Researcher Award

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Dr. Sotirios Brotsis | Internet of Things | Best Researcher Award

Department of Informatics and Telecommunications, University of the Peloponnese, Greece

Sotirios Brotsis is a dedicated researcher in the field of blockchain technology, cryptography, and IoT security 🔒. He holds a B.S. in Mathematics from the University of Patras and an M.S. in Informatics and Telecommunications from the University of Peloponnese 🎓. Currently, he is pursuing a Ph.D. at the University of Peloponnese, under the supervision of Associate Professor N. Kolokotronis. With a strong academic background and a passion for cybersecurity, he has made significant contributions to the field, publishing in top-tier venues and actively participating as a Technical Program Committee (TPC) member and reviewer for international conferences and journals 📚.

Publication Profile

📘 Education

Sotirios Brotsis began his academic journey with a B.S. in Mathematics (2009–2015) at the University of Patras, Greece 🏛️. His interest in computing and security led him to pursue an M.S. in Informatics and Telecommunications at the University of Peloponnese 🎓. Currently, he is a Ph.D. candidate at the University of Peloponnese, focusing on blockchain technology and IoT security 🔐.

💼 Experience

Since October 2018, Sotirios Brotsis has been actively engaged in research at the University of Peloponnese as a Ph.D. candidate 📊. His work revolves around blockchain-based security solutions for IoT ecosystems, cryptographic protocols, and digital forensics 🔍. His expertise is recognized globally, and he has contributed as a TPC member and reviewer for international journals and conferences 🏆.

🏅 Awards and Honors

Sotirios Brotsis has received recognition for his contributions to blockchain and IoT security research. His research has been featured in top international journals, conferences, and book chapters, establishing him as an emerging expert in cybersecurity and cryptographic systems 🥇.

🔬 Research Focus

His research primarily focuses on blockchain security, cryptography, IoT forensics, and digital evidence preservation 🔐. He is actively working on post-quantum blockchain platforms, secure IoT ecosystems, and privacy-enhancing cryptographic solutions. His work addresses real-world security challenges in IoT applications and distributed ledger technologies 📡.

✅ Conclusion

Sotirios Brotsis is a rising researcher in blockchain security, cryptography, and IoT forensics 🔒. His contributions in digital forensics, post-quantum cryptography, and blockchain-based security have positioned him as an influential scholar in cybersecurity 🔥. With an impressive academic background, numerous publications in reputed journals, and active involvement in international research collaborations, he continues to push the boundaries of secure and privacy-preserving blockchain applications 🚀.

📝 Publications

Blockchain meets Internet of Things (IoT) forensics: A unified framework for IoT ecosystems – Internet of Things, 2023 🔗 DOI: 10.1016/j.iot.2023.100968

Towards Post-Quantum Blockchain Platforms – Security Technologies and Methods for Advanced Cyber Threat Intelligence, Detection and Mitigation, 2022 🔗 DOI: 10.1561/9781680838350.ch7

Blockchain-Enabled Digital Forensics for the IoT: Challenges, Features, and Current Frameworks – IEEE International Conference on Cyber Security and Resilience, 2022 🔗 DOI: 10.1109/csr54599.2022.9850327

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance – Computer Networks, 2021 🔗 DOI: 10.1016/j.comnet.2021.108005

On the Security and Privacy of Hyperledger Fabric: Challenges and Open Issues – IEEE World Congress on Services, 2020 🔗 DOI: 10.1109/services48979.2020.00049

On the Security of Permissioned Blockchain Solutions for IoT Applications – IEEE Conference on Network Softwarization (NetSoft), 2020 🔗 DOI: 10.1109/netsoft48620.2020.9165480

On Blockchain Architectures for Trust-Based Collaborative Intrusion Detection– IEEE World Congress on Services, 2019 🔗 DOI: 10.1109/services.2019.00019

Blockchain Solutions for Forensic Evidence Preservation in IoT Environments – IEEE Conference on Network Softwarization (NetSoft), 2019 🔗 DOI: 10.1109/netsoft.2019.8806675

Assoc. Prof. Dr. Sixto Enrique Campaña Bastidas | Internet of Things | Best Researcher Award

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Assoc. Prof. Dr. Sixto Enrique Campaña Bastidas | Internet of Things | Best Researcher Award

Researcher Professor, Universidad Nacional Abierta y a Distancia – UNAD, Colombia

Dr. Sixto Enrique Campaña Bastidas is a distinguished researcher and academic in the field of telecommunications, wireless sensor networks, and telemedicine. Based in Colombia, he has made significant contributions to technological advancements in healthcare and assistive navigation systems. As an Associate Professor and Researcher at Universidad Nacional Abierta y a Distancia (UNAD), he has played a pivotal role in developing innovative solutions for real-world challenges. His expertise in wireless sensor networks (WSN) and telemedicine has led to groundbreaking research in medical monitoring and assistive technology for visually impaired individuals.

Publication Profile

🎓 Education

Dr. Campaña Bastidas holds a Ph.D. in Engineering with a specialization in Telecommunications from Universidad Pontificia Bolivariana. He also earned a Master’s degree in Software Libre from Universidad Autónoma de Bucaramanga, focusing on telecommunications. His academic journey includes a specialization in Networks and Telematic Services from Universidad del Cauca and an Engineering degree in Systems from Universidad Mariana. Additionally, he has received certifications as a CCNA CISCO Instructor and completed a diploma in Linux, further strengthening his technical foundation.

💼 Experience

With over two decades of experience in academia and industry, Dr. Campaña Bastidas has held key positions across multiple organizations. He has been an Associate Professor and Researcher at UNAD since 2001, contributing to cutting-edge research and innovation. His leadership roles include serving as Director of CEAD Pasto at UNAD and a faculty member at IU CESMAG and Universidad Mariana. He has also worked in various governmental and corporate roles, including the Alcaldía de Pasto, Comfamiliar de Nariño, PricewaterhouseCoopers, and the Departamento Nacional de Planeación, where he provided expert guidance in systems engineering and modernization projects.

🏆 Awards and Honors

Dr. Campaña Bastidas has received recognition for his contributions to research and academia. His work in wireless sensor networks and telemedicine has been widely acknowledged in national and international conferences and journals. He has been a key contributor to research initiatives that enhance medical monitoring and assistive technologies, earning respect from the academic and professional community.

🔬 Research Focus

Dr. Campaña Bastidas specializes in wireless sensor networks, telemedicine, and telecommunications. His research revolves around developing smart systems for medical monitoring, assistive technologies for visually impaired individuals, and intelligent healthcare solutions. His studies in machine learning, fuzzy logic, and real-time monitoring systems have advanced the application of technology in medicine and navigation. His contributions have influenced the development of wearable devices, smart sensors, and AI-driven health diagnostics.

🔍 Conclusion

Dr. Sixto Enrique Campaña Bastidas is a leading researcher and academic dedicated to advancing wireless sensor networks, telemedicine, and assistive technologies. His interdisciplinary expertise in telecommunications, machine learning, and AI-driven healthcare solutions has positioned him as a key figure in technological innovation. With a wealth of experience in both academia and industry, he continues to contribute to the global scientific community through impactful research and groundbreaking discoveries. 🚀

📚 Publications

Implementación de técnicas de machine learning para la identificación de patrones que inciden en los determinantes sociales del municipio de Tumaco – Nariño (2024) – DOI

Path planning for assisting blind people in purposeful navigation (2022, Indonesian Journal of Electrical Engineering and Computer Science) – DOI

Vision‐Based System for Assisting Blind People to Wander Unknown Environments in a Safe Way (2021, Journal of Sensors) – DOI

Methodology to build a wearable system for assisting blind people in purposeful navigation (2020, ICICT Conference) – DOI

Sistema en tiempo real para el monitoreo de variables médicas en pacientes hospitalizadas con redes WSN (2019, Publicaciones e Investigación) – DOI

Redes de sensores Inalámbricas (WSN) caso de aplicación (2018, Book) – DOI

Sistema en tiempo real para el monitoreo de variables médicas en pacientes hospitalizadas con redes WSN (2017, Publicaciones e Investigación) – DOI

Fuzzy Intelligent System for Patients with Preeclampsia in Wearable Devices (2017, Mobile Information Systems) – DOI

Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals (2016, Lecture Notes in Computer Science) – DOI

Innocent Ababio | Internet of Things Award | Best Researcher Award

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Mr. Innocent Ababio | Internet of Things Award | Best Researcher Award

Student, Fordham University, United States

Innocent Boakye Ababio is a skilled software engineer and machine learning researcher based in New York, USA, with over five years of professional experience. He specializes in building cutting-edge machine learning models, optimizing algorithms for computer vision and generative tasks, and enhancing SaaS infrastructures. Proficient in Python, C++, and cloud technologies, Innocent has a proven track record of solving complex technical challenges and delivering impactful solutions. 🌟

Publication Profile

Google Scholar

Education 🎓

Innocent holds a Master of Science in Data Science from Fordham University, New York, expected in December 2024. He also earned a Master of Engineering in Computer Science from Hubei University of Technology, China, in July 2020, and a Bachelor’s degree in Computer Science from the University of Cape Coast, Ghana, in June 2017. 📘

Experience 💼

In his role as a Research Assistant at Fordham University, Innocent develops machine learning models for generative and computer vision tasks. He previously worked as a Software Development Engineer at Autodesk, where he improved cloud-based libraries and contributed to developing Fusion Design features. As a Technical Support Engineer at Microsoft (Wicresoft), Innocent ensured system stability and performance for Office 360 products. He also gained early experience as a Software Developer at Ropat Systems, Ghana, creating APIs to enhance backend services. 🚀

Awards and Honors 🏆

Innocent has earned recognition for his impactful research and engineering contributions, although specific awards are not listed here. His commitment to excellence is evident in his successful projects and impactful professional journey. 🎖️

Research Focus 🔬

Innocent’s research interests span machine learning, natural language processing, distributed systems, and computer vision. He explores advanced topics such as heuristic link prediction, federated learning, and bias detection in large language models, leveraging frameworks like PyTorch and TensorFlow to push the boundaries of innovation. 🌐

Conclusion 🌟

Innocent Boakye Ababio is a visionary software engineer and machine learning researcher passionate about solving real-world problems through innovative technologies. His strong educational foundation, diverse professional experience, and dedication to impactful research make him a leader in his field. 🌍

Publications 📚

A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT
Published Year: 2023, Journal: International Journal of IoT and Applications, Cited by: 15 articles

Emotions, Hate Speech, and Bias Evaluation Detection for Large Language Models
Published Year: 2023, Journal: Journal of AI Ethics, Cited by: 10 articles

Heuristic Link Prediction Based on Graph Attention Mechanism
Published Year: 2022, Journal: Journal of Graph Algorithms and Applications, Cited by: 20 articles

Fordham AR App
Published Year: 2023, Conference: Proceedings of ARTech 2023, Cited by: 5 articles

See’t App
Published Year: 2021, Conference: International Conference on Software Applications, Cited by: 8 articles

 

Muhammad Imam | FOG computing | Best Researcher Award

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Assist Prof Dr. Muhammad Imam | FOG computing | Best Researcher Award

Assistant Professor, King Fahd University of Petroleum & Minerals, Saudi Arabia

Dr. Muhammad Y. Imam is a distinguished Cybersecurity Leader and Consultant with over 20 years of experience in the fields of cybersecurity, cryptography, and blockchain. He has a proven track record of combining entrepreneurship with technical expertise, excelling in problem-solving and innovative solutions. Currently an Assistant Professor at KFUPM, Dr. Imam is committed to enhancing cybersecurity education and practice in the region. 🌐🔐

Publication Profile

ORCID

 

Strengths for the Award

  1. Extensive Expertise in Cybersecurity: Dr. Imam has over 20 years of experience in cybersecurity, with a strong background in areas such as cryptography, blockchain, and malware detection. This extensive knowledge positions him as a leader in the field.
  2. Innovative Research Contributions: His PhD research focused on botnet mitigation techniques, showcasing his ability to develop novel solutions for complex problems. This work is crucial in addressing emerging threats in cybersecurity.
  3. Academic and Administrative Leadership: As an Assistant Professor at KFUPM and former Director of the Business Incubator, Dr. Imam demonstrates strong leadership skills. He has been actively involved in various committees, contributing to policy-making and curriculum development.
  4. Impactful Publications: With a range of publications in reputable journals, including works on secure PIN-entry methods and malware classification, Dr. Imam has made significant contributions to academic literature in cybersecurity.
  5. Strong Network and Collaboration: His involvement with various organizations, such as ARAMCO and Saudi Airlines, highlights his ability to bridge academia and industry, fostering collaborations that enhance research impact.
  6. Commitment to Education: Dr. Imam’s experience in teaching, professional training, and mentoring underscores his dedication to educating the next generation of cybersecurity professionals.

Areas for Improvement

  1. Broader Research Focus: While Dr. Imam has a strong background in cybersecurity, expanding his research to include emerging fields like artificial intelligence and machine learning in security applications could further enhance his profile.
  2. Enhanced Public Engagement: Increasing participation in public forums or conferences to share his research findings could amplify his impact and visibility within the global cybersecurity community.
  3. Collaboration with Diverse Disciplines: Engaging with researchers from different fields, such as sociology or behavioral science, could provide a more holistic approach to understanding cybersecurity issues, particularly in user behavior and security practices.
  4. Grant Acquisition: Actively pursuing more research grants and funding opportunities could help elevate his projects and provide resources for broader research initiatives.

Education

Dr. Imam earned his Ph.D. in Electrical and Computer Engineering from Carleton University in Ottawa, Canada, in 2013, focusing on cybersecurity, particularly in developing techniques for botnet mitigation. He also holds a Master’s degree from KFUPM, where he graduated in June 2004, and a Bachelor’s degree from the same institution, completed in May 2000. 🎓📚

Experience

Since September 2013, Dr. Imam has served as an Assistant Professor in the Computer Engineering Department at KFUPM, where he is involved in teaching, professional training, and research projects with industry partners. He previously directed the Business Incubator at KFUPM’s Entrepreneurship Institute, managing incubation and acceleration programs to support new startups. His leadership extends to various committees, including chairing the Cybersecurity Committee at KFUPM since January 2023. 👨‍🏫💼

Research Focus

Dr. Imam’s research interests are centered around cybersecurity, focusing on cryptography, network security, and malware detection. His innovative work includes developing advanced solutions for data privacy and risk management, addressing contemporary challenges in information security. 🔍💻

Awards and Honors

Throughout his career, Dr. Imam has been recognized for his contributions to cybersecurity education and practice, receiving accolades for his research and leadership in various academic and professional capacities. He has also been involved in multiple initiatives to improve cybersecurity awareness and education in Saudi Arabia and beyond. 🏅👏

Publications

F. Binbeshr, L. Y. Por, M. L. M. Kiah, A. A. Zaidan, and M. Imam, “Secure PIN-Entry Method Using One-Time PIN (OTP),” IEEE Access, vol. 11, pp. 18121-18133, 2023.

Al Mousa, M. Al Qomri, and M. Imam, “The Predicament of Privacy and Side-Channel Attacks,” International Journal of Development and Conflict, vol. 12, no. 2, pp. 182–191, 2022.

L. Ghouti and M. Imam, “Malware Classification Using Compact Image Features and Multiclass Support Vector Machines,” IET Information Security, vol. 14, no. 4, pp. 419–429, 2020.

M. Mahmoud, M. Nir, and A. Matrawy, “A Survey on Botnet Architectures, Detection and Defences,” International Journal of Network Security, vol. 17, no. 3, pp. 272–289, 2015.

M. Mahmoud, S. Chiasson, and A. Matrawy, “Does Context Influence Responses to Firewall Warnings?,” 2012 eCrime Researchers Summit, Las Croabas, PR, USA, 2012, pp. 1-10.

Conclusion

Dr. Muhammad Y. Imam exemplifies the qualities of a strong candidate for the Best Researcher Award. His extensive expertise in cybersecurity, innovative research contributions, leadership roles, and commitment to education make him a standout figure in the field. Addressing areas for improvement, such as expanding his research focus and enhancing public engagement, could further strengthen his contributions and influence in the cybersecurity landscape. Given these strengths and opportunities, Dr. Imam is well-positioned to receive recognition for his impactful work and leadership in the realm of cybersecurity.

Bhargavi Krishnamurthy | Internet of Things | Best Researcher Award

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Dr. Bhargavi Krishnamurthy | Internet of Things | Best Researcher Award

Associate Professor, Siddaganga Institute of Technology, India

Bhargavi Krishnamurthy is a dedicated Computer Science researcher specializing in machine learning, high-performance computing, and computer security. With a strong academic foundation and international research experience, she has made significant contributions to the field through her innovative projects and publications.

Publication Profile

Scopus

Strengths for the Award

  1. Strong Academic Background: Bhargavi Krishnamurthy has an impressive academic history, including a Ph.D. in Computer Science and Engineering (CSE) with a focus on the application of machine learning in improving HPC performance. Her postdoctoral research in Software Engineering of Machine Learning systems at the University of Memphis adds to her credibility.
  2. Relevant Research Experience: Bhargavi’s research is in a highly relevant and impactful area, combining machine learning, software engineering, and high-performance computing (HPC). This multidisciplinary approach is crucial in today’s research landscape.
  3. Publications and Conferences: She has presented her research at various reputable international conferences, showcasing her work in areas like remote health monitoring, smart wearables, cloud solutions, and predictive analysis in e-commerce. This indicates a consistent contribution to her field.
  4. Global Exposure: Her postdoctoral experience at an international university (University of Memphis) reflects her exposure to global research standards and collaboration, which is a significant asset for any researcher.

Areas for Improvement

  1. Broader Publication Record: While Bhargavi has presented at conferences, it would be beneficial to see more peer-reviewed journal publications, which typically have a more rigorous review process and greater impact in the academic community.
  2. Focused Research Direction: Bhargavi’s research spans multiple topics within computer science, which is commendable. However, a more focused research trajectory with deeper contributions in one specific area might enhance her profile as an expert in that domain.
  3. Collaboration and Grants: Evidence of successful collaboration with other researchers, securing research grants, and contributing to large-scale projects could further bolster her candidacy for the award.

🎓 Education:

Bhargavi earned her Ph.D. in Computer Science and Engineering from Visveswaraya Institute of Technology in December 2020, focusing her thesis on enhancing HPC performance using machine learning. She holds an M.Tech in Computer Science and Engineering from Siddaganga Institute of Technology, Tumakuru (2012) with a CGPA of 9.02 and first-class distinction, and a B.E. in Computer Science and Engineering from Visveswaraya Institute of Technology (2009) with first-class honors. She also completed her Pre-University and SSLC education from Karnataka boards, achieving first-class grades in both.

💼 Experience:

Bhargavi served as a Postdoctoral Research Scholar at the Game Theory and Computer Security laboratory (GTCS) in the Department of Computer Science at the University of Memphis, USA, from August 2021 to February 2022. During this tenure, she conducted research on the software engineering aspects of machine learning systems. Her academic journey includes extensive research and project work during her Ph.D. and M.Tech studies, contributing to advancements in computer science.

🔬 Research Focus:

Her research primarily explores the application of machine learning to improve the performance of high-performance computing systems. Additionally, Bhargavi has delved into areas such as quality of service in wireless medical sensor networks, query translation between SQL and XPath, context-aware computing, secure data sharing using attribute-based encryption, cloud-based demographic management solutions, and predictive analysis in e-commerce.

🏆 Awards and Honours:

Throughout her academic career, Bhargavi has consistently achieved first-class distinctions, including a CGPA of 9.02 in her M.Tech and first-class honors in her B.E., reflecting her dedication and excellence in her studies.

📝 Publications:

Bhargavi Krishnamurthy has authored and co-authored several research papers presented at international conferences and published in reputable journals. Notable publications include:

“CAs-based QoS Scheme for Remote Health Monitoring over WMSN” – Presented at the International Conference on Advanced Computing, Networking and Security, NITK Surathkal, 2012. Link (Published Year: 2012, Conference Proceedings) – Cited by X articles.

“Join Queries Translation from SQL to XPath” – Published in IEEE proceedings, Tirunelveli, India, 2013. Link (Published Year: 2013, IEEE Conference) – Cited by Y articles.

“Context Aware Smart Watch” – Presented at the International Conference on Emerging Computation and Technologies (ICECIT), Elsevier Procedia, SIT, Tumkur, 2013. Link (Published Year: 2013, Elsevier Procedia) – Cited by Z articles.

“Secure Sharing of Car Using ABE” – Published in Proceedings of IRF International Conference, Mysore, 2014. Link (Published Year: 2014, Conference Proceedings) – Cited by A articles.

“Cloud based Solution to Manage Demographic Demand and Supply of Skills” – Presented at the Indian Technology Congress, NIMANS Convention Hall, Bangalore, 2014. Link (Published Year: 2014, Conference Proceedings) – Cited by B articles.

“Predictive Analysis of E-Commerce Products” – Presented at the International Conference on Intelligent Computing and Communication, Springer, MIT College of Engineering, Pune, 2017. Link (Published Year: 2017, Springer Conference Proceedings) – Cited by C articles.

Conclusion

Bhargavi Krishnamurthy is a strong candidate for the Research for Best Researcher Award, given her solid academic foundation, relevant research experience, and contributions to significant areas in computer science. To further strengthen her case, focusing on a specific research niche, expanding her publication record in high-impact journals, and demonstrating leadership in collaborative projects or grant acquisition would be beneficial.

 

Shaghaf Kaukab | Technology | Young Scientist Award

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Dr. Shaghaf Kaukab | Technology | Young Scientist Award

scientist, ICAR-CIPHET, India

Shaghaf Kaukab is a dedicated Scientist at ICAR-Central Institute of Post-Harvest Engineering & Technology (ICAR-CIPHET), Ludhiana, specializing in Agricultural Structure and Process Engineering. With over 11 years of combined experience in scientific research and academic exploration within the food engineering and technology platform, Shaghaf has made significant contributions to the domain of extrusion processing, storage technology, drying techniques, and functional food product development. His work emphasizes the application of AI, machine learning, and deep learning techniques in agriculture, leading to innovative solutions that improve post-harvest management and food processing.

Publication Profile

Scopus

Strengths for the Award

  1. Research Contributions: Shaghaf Kaukab has made significant contributions to agricultural structure and process engineering, particularly in post-harvest technology. Her work on projects such as IoT-based monitoring systems and AI-enabled robotic harvesters demonstrates her innovative approach and alignment with modern agricultural challenges.
  2. Academic Excellence: With a Ph.D. in Post Harvest Technology and multiple prestigious academic awards, she has a strong academic background. Her high CGPA scores and ICAR merit medals underscore her academic diligence.
  3. Interdisciplinary Expertise: Shaghaf has expertise in various domains, including AI, machine learning, image processing, and food process engineering, making her research impactful and versatile.
  4. Publications and Impact: She has published extensively in refereed journals and contributed to book chapters, highlighting her active involvement in advancing her field of research. The inclusion of her work in high-impact journals reflects her research’s quality and relevance.
  5. Leadership and Collaboration: Shaghaf has demonstrated leadership by managing several projects, mentoring students, and coordinating training programs. Her collaborative efforts with organizations like CDAC and international exposure (e.g., Purdue University) enhance her profile.

Areas for Improvement

  1. Broader Outreach: While Shaghaf has conducted training and outreach activities, expanding these efforts to reach a more diverse audience, including more international platforms, could enhance her influence and recognition.
  2. Grant Acquisition: Although involved in several projects, focusing on securing more independent research grants could further validate her capabilities and drive her research agenda.
  3. Networking and Professional Development: Increased participation in international conferences, workshops, and collaborations outside of India could further her exposure and contribute to professional growth.

 

🎓 Education

Shaghaf Kaukab earned his Ph.D. in Post-Harvest Technology from the Indian Agricultural Research Institute (IARI), New Delhi, with a stellar CGPA of 9.1/10 in 2019. Prior to this, he completed his M.Tech. in Post-Harvest Engineering & Technology from IARI, New Delhi, with a CGPA of 8.97/10 in 2016. His academic journey has been marked by excellence, laying a strong foundation for his research and scientific endeavors.

💼 Experience

Currently, Shaghaf is a Scientist in Agricultural Structures & Process Engineering at ICAR-CIPHET, Ludhiana, where he has been instrumental in the development of technologies such as the stereo-depth based detection and localization module for apples. He has successfully led and contributed to several ongoing projects, including IoT-based modular systems for cold storage and AI-enabled robotic apple harvesters. His role extends to technical writing, project implementation, and collaboration with academic and industrial partners.

🔍 Research Focus

Shaghaf’s research interests lie in the application of new-age technologies like AI, machine learning, and deep learning in the post-harvest agriculture sector. He focuses on image processing techniques (such as Biospeckle, RGB, X-ray, Hyperspectral imaging) and the analysis of food properties (physical, thermal, mechanical, and micro-structural). His work in food process engineering aims to enhance the efficiency and quality of post-harvest processes.

🏆 Awards and Honors

Shaghaf Kaukab’s work has earned him recognition within the scientific community, including membership in prestigious organizations such as the Indian Society of Agricultural Engineers (ISAE) and the American Society of Agricultural and Biological Engineers (ASABE). He serves as a regular reviewer for scientific journals and has been an external examiner for graduate students at Dr. Rajendra Prasad Central Agricultural University, Bihar.

📚 Publication Top Notes

Shaghaf has published numerous articles in refereed journals and contributed to book chapters and training manuals. His notable works include:

Improving Real-time Apple Fruit Detection: Depth and Multi-modal Information Fusions with Non-targeted Background Removal – Published in Ecological Informatics.

Chickpea Temperature Profile Development and its Implication under Microwave Treatment – Published in Biological Forum – An International Journal.

Osmotic Dehydration of Aloe-vera Gel Discs – Published in Journal of AgriSearch.

Engineering Properties, Processing, and Value Addition of Tamarind: A Review – Published in IJBSM.

Study of Engineering Properties of Selected Vegetable Seeds – Published in Indian Journal of Agricultural Sciences.

 

Conclusion

Shaghaf Kaukab is a strong candidate for the Research for Young Scientist Award. Her innovative research, interdisciplinary expertise, and significant contributions to agricultural engineering, particularly in post-harvest technology, make her a standout. While expanding her outreach and securing more independent funding could strengthen her profile further, her accomplishments thus far demonstrate her potential as a leader in her field.

 

Isabel de la Torre | Computer Science | Women Researcher Award

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Prof Dr. Isabel de la Torre | Computer Science | Women Researcher Award

Catedrática, Universidad de Valladolid, Spain

Isabel de la Torre Díez, born in 1979 in Zamora, Spain, is a renowned Full Professor at the University of Valladolid. She received her M.S. and Ph.D. degrees in Telecommunication Engineering from the same university in 2003 and 2010, respectively. Isabel’s expertise lies in telemedicine, e-health, m-health, and related fields. She has authored over 250 papers and played a significant role in numerous research projects. Isabel leads the GTe Research Group and is a key figure in the field of telemedicine and e-health. 🌐👩‍🏫

Publication Profile

 

Strengths for the Award

  1. Significant Research Contributions: Isabel de la Torre Díez has published over 250 papers in SCI journals, peer-reviewed conferences, and books. This extensive publication record highlights her impactful research in telemedicine, e-health, and related fields.
  2. Leadership and Innovation: She leads the GTe Research Group at the University of Valladolid and has been involved in creating and coordinating innovative software. Her leadership in advancing telemedicine and e-health applications demonstrates her commitment to improving healthcare through technology.
  3. Research Impact and Recognition: She has been involved in over 100 international conference program committees and has participated in numerous funded research projects. Her involvement as a reviewer for well-known SCI journals further underscores her expertise and influence in her field.
  4. Research and Teaching Excellence: With two research sexenios, she has demonstrated consistent research excellence. Her role in guiding doctoral theses and her contributions to high-impact journals and conferences reflect her high standing in the academic community.
  5. International Collaboration: Her postdoctoral research experiences in Portugal, Spain, and France highlight her international collaboration and mobility, enhancing her global research network and exposure.

Areas for Improvement

  1. Broader Recognition: While her research is extensive, further highlighting any awards or recognitions she has received could strengthen her application. Emphasizing awards or honors related to her research could enhance her candidacy.
  2. Diversity of Research Interests: While her focus is on telemedicine and e-health, demonstrating how her research contributes to a broader range of applications or interdisciplinary areas might strengthen her profile.
  3. Detailed Impact Metrics: Providing specific metrics, such as citation counts, h-index, and impact factors of the journals where she has published, could offer a clearer picture of her research impact.

Conclusion

Isabel de la Torre Díez is a highly qualified candidate for the Research for Women Researcher Award. Her extensive research contributions, leadership in innovative projects, and active participation in international research communities position her as a leading figure in her field. Enhancing her application with additional recognitions and detailed impact metrics could further bolster her candidacy. Overall, her achievements and ongoing contributions to the field of telemedicine and e-health make her a strong contender for the award.

Education 🎓

Isabel de la Torre Díez earned her M.S. and Ph.D. degrees in Telecommunication Engineering from the University of Valladolid, Spain, in 2003 and 2010, respectively. Her education laid a strong foundation for her prolific career in telemedicine and e-health. 🏫📜

Experience 👩‍💼

Isabel de la Torre Díez is a Full Professor in the Department of Signal Theory and Communications and Telematics Engineering at the University of Valladolid. She has authored over 250 papers and coauthored 16 registered innovative software. Isabel has been involved in more than 100 international conference program committees and has participated in 44 funded research projects. She is also a reviewer for renowned journals like the International Journal of Medical Informatics. 🏫📚

Research Focus 🔬

Isabel’s research focuses on the development and evaluation of telemedicine applications, e-health, m-health, EHRs (Electronic Health Records), machine and deep learning, privacy and security, biosensors, QoS (Quality of Service), and QoE (Quality of Experience) in the health field. She has significantly contributed to these areas, particularly in telepsychiatry, teleophthalmology, and telecardiology. 🧠💻

Awards and Honors 🏆

Isabel de la Torre Díez has received numerous accolades throughout her career. She has two research sexenios and coordinates the GTe Research Group and the GIR “Society of Information” group. She has also been recognized for her contributions as a reviewer for prestigious journals and her leadership in various research projects and collaborations. 🌟🏅

Publications 📄

  1. Novel model to authenticate role-based medical users for blockchain-based IoMT devices
    PLOS ONE
    2024-07-10
    DOI: 10.1371/journal.pone.0304774
  2. A Digital Mental Health Approach for Supporting Suicide Prevention: A Qualitative Study
    International Journal of Mental Health and Addiction
    2024-06-21
    DOI: 10.1007/s11469-024-01347-4
  3. A deep learning approach for Named Entity Recognition in Urdu language
    PLoS ONE
    2024
    DOI: 10.1371/journal.pone.0300725
    Cited by 1 article
  4. A Detectability Analysis of Retinitis Pigmentosa Using Novel SE-ResNet Based Deep Learning Model and Color Fundus Images
    IEEE Access
    2024
    DOI: 10.1109/ACCESS.2024.3367977
    Cited by 1 article

 

Jihyeon Ryu | Computer Science | Best Researcher Award

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Assist Prof Dr. Jihyeon Ryu | Computer Science | Best Researcher Award

Professor, Kwangwoon University, South Korea

👩‍🏫 Jihyeon Ryu is an Assistant Professor at the School of Computer and Information Engineering, Kwangwoon University. She specializes in split learning, convolutional neural networks, and user authentication, contributing significantly to the field of computer science with her extensive research and numerous publications.

Profile

Google Scholar

 

Education

Ph.D. in Software (Integrated Master’s and Doctorate Course) from Sungkyunkwan University (Mar. 2018 – Feb. 2023), advised by Prof. Dongho Won and Prof. Hyoungshick Kim. B.S. in Mathematics and Computer Science and Engineering from Sungkyunkwan University (Mar. 2013 – Feb. 2018). Early Graduation from Sejong Science High School (Mar. 2011 – Feb. 2013).

 

Research Interests:

Split Learning. Convolutional Neural Networks. User Authentication

Awards

Family Company Workshop Lecture, Hoseo University (Feb. 2022). Invited Lecturer, Mental Women’s High School (Nov. 2021). Excellence Prize, Software Department Excellence Research Awards (Feb. 2021). Graduate Merit Scholarship, Sungkyunkwan University (Mar. 2018 – Feb. 2021). SimSan Scholarship, Multiple instances (Mar. 2018 – Sep. 2020). Excellence Award, 국가 암호기술 전문인력 양성과정 (Nov. 2019). Grand Prize, Software Department Excellence Research Awards (Feb. 2019). Samsung Science Scholarship (Mar. 2013 – Feb. 2018)

Publications

Lightweight Hash-Based Authentication Protocol for Smart Grids. Sensors, 2024. Sangjin Kook, Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.

Enhanced Lightweight Medical Sensor Networks Authentication Scheme Based on Blockchain. IEEE ACCESS, 2024. Taewoong Kang, Naryun Woo, Jihyeon Ryu.

Secure and Anonymous Authentication Scheme for Mobile Edge Computing Environments. IEEE Internet of Things Journal, 2024. Hakjun Lee, Jihyeon Ryu, Dongho Won.

Distributed and Federated Authentication Schemes Based on Updatable Smart Contracts. Electronics, 2023. Keunok Kim, Jihyeon Ryu, Hakjun Lee, Youngsook Lee, Dongho Won.

An Improved Lightweight User Authentication Scheme for the Internet of Medical Things. Sensors, 2023. Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.