Mr. Murali M | Cloud Computing | Best Researcher Award

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Mr. Murali M | Cloud Computing | Best Researcher Award

Mr. Murali M, Sona College of Technology, India

Mr. Murali M is an accomplished academic with over 14 years of experience in Information Technology education and research. He earned his B.E. in Computer Science and Engineering (2007) and M.E. in Pervasive Computing Technologies (2010) from Anna University. Currently pursuing a Ph.D. at Anna University, Chennai, he serves as Assistant Professor at Sona College of Technology, Salem. Mr. Murali’s expertise spans Robotic Process Automation, Cloud Computing, HCI, and Software Engineering. His dedication to both research and education is reflected in numerous certifications, a published patent, and societal contributions such as mentoring the Tamil Nadu Police-recognized “Migrant Care” app. A recognized reviewer and ISO auditor, he continues to shape academic excellence through continuous innovation and mentorship. 🌐🎓🔬

🌍 Professional Profile

Google Scholar

Orcid

Scopus

🏆 Suitability for Best Researcher Award

Mr. Murali M exemplifies the spirit of innovation and impactful research. His pioneering contribution to developing an AI-enabled intelligent logistics system, recognized with a published patent, reflects his commitment to applied research that solves real-world problems. As an educator and researcher, his interdisciplinary focus—ranging from RPA and cloud computing to wireless sensor networks and HCI—positions him as a thought leader. Beyond academia, his guidance of the award-winning “Migrant Care” app, acknowledged by Tamil Nadu Police, highlights his societal impact. As a reviewer for international journals and an ISO-certified auditor, Mr. Murali maintains high academic and operational standards. His dedication, innovation, and real-world application of research make him a standout candidate for the Best Researcher Award. 🏅📘💡

🎓 Education

Mr. Murali M’s academic foundation is rooted in excellence and innovation. He obtained his B.E. in Computer Science and Engineering from Anna University, Chennai in 2007, followed by an M.E. in Pervasive Computing Technologies from Anna University, Trichy in 2010. Currently, he is pursuing his Ph.D. in Computer Science from Anna University, Chennai, focusing on intelligent systems and automation. His academic path reflects a progressive alignment with emerging technologies, particularly in areas such as AI, cloud computing, and software systems. His rigorous academic training has been instrumental in shaping his research trajectory and commitment to impactful innovation, both in academia and industry. 🧠📚🖥️

👨‍💼 Experience

With over 14 years in academia, Mr. Murali M has consistently contributed to Information Technology education and research. He began his career as a Web Designer at Admire Solutions, Erode (2007–2008), transitioning into academia as a Lecturer at Sona College of Technology, Salem (2010–2011), where he now serves as Assistant Professor since December 2011. His teaching, mentoring, and administrative roles reflect a commitment to academic excellence and institutional development. Notably, he is an ISO core team member, contributing to internal audits and quality systems. His blend of industry experience and academic rigor ensures a practice-based, research-driven learning environment for his students. 💼👨‍🏫📈

🏅 Awards and Honors

Mr. Murali M’s professional journey is marked by multiple accolades and contributions. His standout achievement includes being listed as the fourth inventor on the 2022 patent “AI Enabled Intelligent Logistics System” (Application No. 202241049421). He received formal recognition from the Tamil Nadu Police for mentoring the socially impactful “Migrant Care” app. Murali is also a certified ISO 9001:2015 Internal Auditor and plays a key role as an ISO core team member in his department. His selection as a reviewer for the International Association of Online Engineering journal further highlights his academic credibility. These honors underscore his dual impact—technological and societal—making him a deserving candidate for recognition. 🏅📜🚀

🔍 Research Focus

Mr. Murali M’s research interests encompass several high-impact areas in modern computing. His primary focus areas include Robotic Process Automation (RPA), Wireless Sensor Networks (WSNs), Human-Computer Interaction (HCI), Software Engineering, and Cloud Computing. He is particularly passionate about designing scalable and intelligent systems that improve efficiency and human experience. His interdisciplinary approach bridges technical innovation with social utility, as demonstrated through projects like “Migrant Care” and patented AI logistics systems. Murali’s ongoing Ph.D. research aims to explore advanced automation techniques and adaptive systems using AI and pervasive computing. His work supports future-ready computing solutions that address real-world challenges in enterprise systems, public services, and educational technology. 🤖☁️📶🖱️

📊 Publication Top Notes

  1. A Comprehensive Study on Security Threats in Autonomous Vehicles: Safeguarding the Future

  1. Tribology Interface Over Digital Technologies and Envisaging Tribology with Patent Landscape – A Queer Review

  1. Deep Learning-Based Continuous Glucose Monitoring with Diabetic Prediction Using Deep Spectral Recurrent Neural Network

  2. Detection of Lung Ultrasound Covid-19 Disease Patients Based on Convolution Multifacet Analytics Using Deep Learning

  3. Brain Tumor Detection Using Deep Learning Neural Network for Medical IoT Applications

  4. Analysis of Lung Cancer Detection Based on the Machine Learning Algorithm and IoT

 

 

Dr. Abdulrahman Alnaim | Technology | Excellence in Research Award

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Dr. Abdulrahman Alnaim | Technology | Excellence in Research Award

Dr. Abdulrahman Alnaim | Technology – Associate Professor at King Faisal University, Saudi Arabia

Dr. Abdulrahman Khalid Alnaim is an accomplished academic and researcher specializing in computer science and information security. With a strong foundation in computer information systems and management information systems, he has dedicated his career to advancing research in emerging technologies such as cybersecurity, cloud computing, and network architecture. His work is characterized by innovative approaches to securing next-generation networks and optimizing system performance, reflecting a commitment to both academic excellence and practical applications in the tech industry.

Profile:

Google Scholar

Education:

Dr. Alnaim earned his Ph.D. in Computer Science from Florida Atlantic University, USA, where he focused on developing secure and efficient computing models. He also holds a Master’s in Management Information Systems from Nova Southeastern University, USA, which enriched his understanding of integrating technology with business strategies. His academic journey began at King Faisal University, Saudi Arabia, where he completed his Bachelor’s degree in Computer Information Systems, laying the groundwork for his passion for research and technology. This diverse educational background has enabled him to approach complex problems with a multidisciplinary perspective.

Experience:

Dr. Alnaim has served at King Faisal University, Saudi Arabia, in various academic roles. Starting as a Teacher Assistant in 2012, he quickly advanced to become a Lecturer and later an Assistant Professor in the Management Information Systems Department within the School of Business. Throughout his tenure, he has contributed significantly to curriculum development, academic research, and student mentorship. His professional journey reflects a consistent commitment to fostering an environment of academic growth, research innovation, and knowledge dissemination.

Research Interests:

Dr. Alnaim’s research interests lie in the domains of cloud technologies, cybersecurity, and network architecture, with a particular focus on emerging trends like 5G/6G networks, network function virtualization (NFV), and edge computing. His work explores the development of robust security frameworks, optimized resource management strategies, and innovative architectures for next-generation networks. His research not only addresses theoretical challenges but also provides practical solutions for enhancing cybersecurity, system efficiency, and data integrity in complex digital environments.

Awards:

While Dr. Alnaim’s distinguished academic career is marked by numerous achievements, his contributions to research have earned him recognition within the academic community. His work has been cited extensively, reflecting its influence on contemporary studies in cybersecurity and network technologies. His dedication to research excellence is evident through his continuous pursuit of knowledge, innovative problem-solving, and commitment to advancing the field of computer science.

Publications 📚:

  1. “Zero Trust Strategies for Cyber-Physical Systems in 6G Networks” (2025) – Mathematics
    This paper discusses advanced security models tailored for cyber-physical systems in 6G environments. 🚀

  2. “Securing 5G Virtual Networks: A Critical Analysis of SDN, NFV, and Network Slicing Security” (2024) – International Journal of Information Security
    The article provides an in-depth analysis of security vulnerabilities and countermeasures in 5G networks. 🔐

  3. “Trust Management and Resource Optimization in Edge and Fog Computing Using the CyberGuard Framework” (2024) – Sensors
    This research introduces the CyberGuard framework for enhancing trust management in edge and fog computing environments. 🌐

  4. “Network Slicing in 6G: A Strategic Framework for IoT in Smart Cities” (2024) – Sensors
    A strategic approach to optimizing network slicing for IoT applications in smart cities. 🏙️

  5. “Classification of Alzheimer’s Disease Using MRI Data Based on Deep Learning Techniques” (2024) – Journal of King Saud University – Computer and Information Sciences
    This study leverages deep learning models to improve the early detection of Alzheimer’s disease using MRI data. 🧠

  6. “Machine-Learning-Based IoT–Edge Computing Healthcare Solutions” (2023) – Electronics
    Focuses on integrating machine learning with IoT and edge computing to enhance healthcare services. 💡

  7. “A Misuse Pattern for Modifying Non-Control Threats in NFV” (2022) – Future Internet
    Proposes a model to identify and mitigate non-control threats in network function virtualization environments. 🖥️

These publications have collectively garnered significant citations, underscoring their impact on academic research and industry practices. 📈

Conclusion:

Dr. Abdulrahman Khalid Alnaim exemplifies the qualities of an outstanding researcher, with a robust academic background, extensive research contributions, and a commitment to advancing the field of computer science and information security. His work in cybersecurity, cloud technologies, and network architecture has not only enriched academic discourse but also provided practical solutions to real-world challenges.

His innovative approach, combined with a strong publication record and active involvement in academic and research communities, makes him a deserving candidate for the Excellence in Research Award. Dr. Alnaim’s contributions reflect the values of academic rigor, intellectual curiosity, and a relentless pursuit of knowledge that this prestigious award seeks to honor.

Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

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Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

Dr. Tanushree Bhattacharjee, GRIDsentry Private Limited, India

Dr. Tanushree Bhattacharjee is a distinguished cybersecurity expert specializing in substation automation, OT security, and intrusion detection systems (IDS). With a Ph.D. in Electrical Engineering from Jamia Millia Islamia, she has over seven years of experience securing critical infrastructure. As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, she leads cutting-edge research in forensic analysis, deep packet inspection, and AI-powered threat modeling. Dr. Bhattacharjee has played a vital role in national and international cybersecurity testbeds, contributing to the advancement of IEC 61850, power grid security, and microgrid protection. Her expertise in AI/ML-based anomaly detection ensures the resilience of modern power systems. 🔐⚡

🌍 Professional Profile:

Google Scholar

Orcid

Scopus

🏆 Suitability for the Best Researcher Award 

Dr. Tanushree Bhattacharjee is an outstanding candidate for the Best Researcher Award, given her pioneering work in substation automation security and digital transformation. She has made significant contributions to intrusion detection, vulnerability assessment, and OT security in power grids. Her leadership in developing IDS/IPS solutions, coupled with her expertise in AI-powered anomaly detection, positions her as a key innovator in cyber-physical security. With a strong background in threat modeling, forensic analysis, and protocol security, her research directly impacts critical infrastructure protection. Her proven ability to bridge AI with cybersecurity makes her a deserving nominee for this prestigious recognition. 🏆🔍

🎓 Education

Dr. Tanushree Bhattacharjee holds a Ph.D. in Electrical Engineering from Jamia Millia Islamia, New Delhi (2017-2022), where she focused on substation automation and microgrid protection. She completed her Master’s in Power Systems at the Indian Institute of Engineering Science & Technology, Shibpur (2012-2014). Her academic work involved IEC 61850 protocols, cybersecurity in digital substations, and AI-driven security frameworks. Through hands-on research in power system modeling, microgrid security, and forensic analysis, she has contributed to cybersecurity innovations in critical infrastructure. Her education has provided a robust foundation for her advancements in intrusion detection and digital protection strategies. 🎓⚡🔬

💼 Experience 

As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, Dr. Bhattacharjee leads research on intrusion detection systems (IDS), AI-driven threat modeling, and forensic analysis. Previously, as a Product Manager, she specialized in deep packet inspection and anomaly detection. She also worked as a Power System Security Engineer, focusing on IPS/IDS development and OT cybersecurity. Her tenure at Jamia Millia Islamia involved substation automation, protocol security, and microgrid testing. With expertise in vulnerability assessments, access control, and live cybersecurity testing, she has significantly contributed to the security of modern power infrastructures. 🔒💡🚀

🏅 Awards & Honors 

Dr. Bhattacharjee has received multiple accolades for her contributions to power system cybersecurity. She has been recognized for her outstanding research in IDS and AI-driven security mechanisms. Her work on IEC 61850-based intrusion detection won Best Paper Awards at leading cybersecurity conferences. She has been acknowledged by cybersecurity organizations for her role in developing AI-based threat detection tools. Additionally, she has contributed to national security projects, earning commendation from government agencies and industry leaders. Her expertise in forensic analysis, digital substation security, and OT cybersecurity has positioned her as a trailblazer in the field. 🏆🔍⚡

🔬 Research Focus

Dr. Bhattacharjee’s research integrates emerging technologies with cybersecurity, focusing on power system protection, IEC 61850 protocols, and digital substation automation. Her expertise includes intrusion detection, AI-based anomaly detection, and forensic security analysis. She explores cyber-physical system security, ensuring resilience against DDoS, MITM, and replay attacks. Her work in deep learning for security event detection enhances smart grid protection. She also specializes in protocol security, AI-driven attack mitigation, and operational technology (OT) cybersecurity. Through machine learning, threat modeling, and real-time testing, her research aims to fortify modern power infrastructures against evolving cyber threats. 🛰️🔐⚙️

📖 Publication Top Notes

  1. Hardware Development and Interoperability Testing of a Multivendor-IEC-61850-Based Digital Substation
    • Citations: 11
    • Year: 2022
  2. Planning of Renewable DGs for Distribution Network Considering Load Model: A Multi-Objective Approach
    • Citations: 9
    • Year: 2014
  1. Designing a Controller Circuit for Three-Phase Inverter in PV Application
    • Citations: 6
    • Year: 2018
  2. Digital Substations with the IEC 61850 Standard
    • Citations: 3
    • Year: 2021
  3. Power Quality Improvement of Grid Integrated Distributed Energy Resource Inverter
    • Citations: 2
    • Year: 2021

 

Prof Dr. Zhuzhong Qian | Cloud Networking | Best Researcher Award

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Prof Dr. Zhuzhong Qian | Cloud Networking | Best Researcher Award

Prof Dr. Zhuzhong Qian, Nanjing University, China

Dr. Zhuzhong Qian stands as a distinguished professor at the Department of Computer Science, Nanjing University, contributing significantly to the realm of computer science. 🎓 As a member of the National Key Laboratory of Software New Technology and deputy director of the Network and Distributed Computing Committee of the Jiangsu Computer Society, he plays a pivotal role in advancing research and collaboration. 🌐 Driven by a commitment to excellence, he was selected for Jiangsu Province’s 333 High-level Talent Training Program and conducted impactful research visits in Japan and Canada in 2008 and 2009, respectively. 🌍 Dr. Qian’s leadership extends to various research projects, funded by esteemed entities like the National Natural Science Foundation and Ministry of Education-China Mobile Science Research Fund, showcasing his prowess in securing and executing critical initiatives. 💡 His extensive involvement in national and provincial scientific research projects, coupled with industry collaborations with giants like Huawei and Tencent, underscores his influence in bridging academia and industry. 🤝 Dr. Qian’s prolific research, with over 100 papers published in prestigious journals and conferences, has earned him several best paper awards and nominations. 🏆 His impact on student development is evident through the recognition of his doctoral students in the 2015 ACM China Outstanding Doctoral Dissertation Award and undergraduate students receiving the 2017 Jiangsu Province Outstanding Graduation Thesis First Prize. 👨‍🏫🔬

🎓 Education :

Dr. Zhuzhong Qian is a distinguished individual with a Ph.D. degree in computer science from Nanjing University (NJU), earned in 2007. 🎓 His academic journey reflects a commitment to excellence and a passion for advancing the field of computer science. Dr. Qian’s expertise undoubtedly contributes to the ever-evolving landscape of technology, making him a noteworthy figure in the realm of academia. 👨‍💻🔍

🌐 Professional Profiles :

Scopus

Google Scholar

💻 Teaching :

Dr. Zhuzhong Qian’s dedication to education is evident through the diverse range of courses he has taught, showcasing his expertise in computer science. 📚 Over the years, he has guided students through courses such as Algorithms Design and Analysis, demonstrating his commitment to fostering a deep understanding of complex computational concepts. 💻 His involvement in the Elite Program of Computer Science since 2011, teaching Problem Solving, reflects a commitment to nurturing the intellectual growth of aspiring computer scientists. 🌐 Additionally, Dr. Qian’s recent contributions include courses like Distributed Systems and Computational Thinking in the fall of 2021, demonstrating his adaptability in addressing contemporary challenges in the field. 🚀 Despite the NJU Online Judge being under maintenance, it underscores his engagement in practical platforms for hands-on learning. 🛠️ Dr. Zhuzhong Qian’s teaching portfolio reflects not only his comprehensive knowledge but also his passion for shaping the next generation of computer science professionals. 👨‍🏫

🧠Research Interests 🔬🌐 :

Dr. Zhuzhong Qian’s research interests revolve around cutting-edge domains, with a focus on Distributed Systems, Cloud Computing, and Edge Computing. 🌐 His exploration of Distributed Systems delves into the intricacies of networked computing, aiming to enhance the efficiency and reliability of interconnected systems. ☁️ In the realm of Cloud Computing, Dr. Qian contributes to the evolution of scalable and accessible computing resources, optimizing the utilization of cloud-based technologies. 🚀 Furthermore, his interest in Edge Computing reflects a commitment to pushing the boundaries of computation, bringing processing closer to data sources for improved real-time responsiveness. 🌟 Dr. Zhuzhong Qian’s research endeavors not only align with the forefront of technological advancements but also hold the promise of shaping the future landscape of distributed and decentralized computing systems. 👨‍💻

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 169 documents indexed in Scopus.
  • 📊 Citations: A total of 1,785 citations for his publications, reflecting the widespread impact and recognition of Dr. Zhuzhong Qian’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 2628 📖
    • h-index: 25  📊
    • i10-index: 60 🔍
  • Since 2018:
    • Citations: 1476 📖
    • h-index: 21 📊
    • i10-index: 35 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes  :

1.  Energy efficient virtual machine placement algorithm with balanced and improved resource utilization in a data center

Journal: Mathematical and Computer Modelling, 2013

Cited by: 238

2.  Joint configuration adaptation and bandwidth allocation for edge-based real-time video analytics

Journal: IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2020

Cited by: 147

3.  Virtual network embedding with opportunistic resource sharing

Journal: IEEE Transactions on Parallel and Distributed Systems, 2013

Cited by: 133

4.  An opportunistic resource sharing and topology-aware mapping framework for virtual networks

Journal: 2012 Proceedings IEEE INFOCOM

Cited by: 113

5.  P3: Joint optimization of charger placement and power allocation for wireless power transfer

Journal: 2015 IEEE Conference on Computer Communications (INFOCOM)

Cited by: 101