Leema Nelson | Computer Science | Research Excellence Award

Published on by Book of Award

Dr. Leema Nelson | Computer Science | Research Excellence Award

Chitkara University | India 

Dr. Leema Nelson is an accomplished researcher whose scholarly contributions span machine learning, clinical decision support systems, composite materials, signal processing, and intelligent diagnostic frameworks. With a total of 1206 citations, an h-index of 17, and 29 i10-index publications, her research demonstrates both depth and sustained impact across interdisciplinary domains. She has produced numerous high-quality peer-reviewed articles, many in leading Elsevier journals such as Applied Soft Computing and Materials & Design, focusing on neural network optimization, characterization of metal-matrix composites, wear modelling, and advanced computational methods. Her work in clinical data classification, including diabetes and PCOS diagnosis, highlights the integration of artificial intelligence into healthcare decision-making. In recent years, she expanded her research into video smoke detection, cyber-security–based email filtering, audio source separation, and welding parameter optimization using intelligent algorithms. Her studies in deepfake detection, text recognition, and clinical support systems reflect her continuing advancements in data-driven AI models. She has also contributed extensively to IEEE conferences, presenting innovations in masked face detection, ultrasound image analysis, mobile app frameworks, and disease prediction models. Overall, her scientific output reflects strong productivity, interdisciplinary expertise, and meaningful contributions to both computational intelligence and applied engineering research.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Jibinsingh, B. R., & Nelson, L. (2025). FL-WOSP: Federated learning with Walrus Optimization for sepsis prediction using MIMIC-III physiological and clinical data. Pattern Recognition. Advance online publication.

Batra, H., & Nelson, L. (2024). ESD: E-mail spam detection using cybersecurity-driven header analysis and machine learning-based content analysis. International Journal of Performability Engineering, 20(4).

Nelson, L. (2024). Data-driven clinical decision support system using neural network topology optimization for PCOS diagnosis. Journal of Soft Computing and Data Mining.

Batra, H., & Nelson, L. (2024). A three-stage deepfake detection framework using deep learning models with multimedia data. International Journal of Intelligent Systems and Applications.

Shanmuga Priya, M., Pavithra, A., & Leema, N. (2024). Character/word modelling: A two-step framework for text recognition in natural scene images. Computer Science.

Batra, H., & Nelson, L. (2023). DCADS: Data-driven computer aided diagnostic system using machine learning techniques for polycystic ovary syndrome. International Journal of Performability Engineering, 19(3).

Kumar, V. A., Rao, C. V. R., & Leema, N. (2023). Audio source separation by estimating the mixing matrix in underdetermined condition using successive projection and volume minimization. International Journal of Information Technology, 15(4), 1831–1844.

Ramesh, A., Sivapragash, M., Ajith Kumar, K. K., & Leema, N. (2023). Investigating the quality of TIG-welded aluminium alloy 5086 using the online acoustic emission and optimization of welding parameters using global best-based modified artificial bee colony algorithm. Transactions of the Indian Institute of Metals, 1–14.

Pranshu Kumar Soni, & Leema, N. (2023). PCP: Profit-driven churn prediction using machine learning techniques in banking sector. International Journal of Performability Engineering, 19(5), 303–311.

Vettum Perumal, S., Suyamburajan, V., Chidambaranathan, V. S., & Nelson, L. (2023). Characterization of microstructure and mechanical behaviour in activated tungsten inert gas welded dissimilar AA joint of AA 5083 and AA 6061 alloys. Journal of the Institution of Engineers (India): Series D, 1–9.

Patruni Rajshekhar Rao | Computer Science | Best Researcher Award

Published on by Book of Award

Mr. Patruni Rajshekhar Rao | Computer Science | Best Researcher Award

FTD Infocom Pvt Ltd | India

Mr. Patruni Rajshekhar Rao is an avionics research professional whose work integrates test and verification engineering, data analysis, and safety-critical system evaluation across aerospace platforms. His contributions span functional RTL verification, aerospace data analysis, and reliability assessment of embedded systems. His early work involved functional verification of ARINC818 protocol IP cores, where he designed assertion-based test benches using VHDL and file-driven debugging to enhance precision in timing-sensitive validation. He later expanded into flight data analysis for advanced aircraft systems such as the SARAS platform, performing hardware–software integration testing, developing low-level test cases, and analyzing stall-warning system performance. His research also includes pioneering efforts in software health management, where he explored self-healing software systems using AI-driven methods to automate fault detection and recovery in avionics architectures. He has contributed to safety-critical processes aligned with DO-178B and DO-254 standards, including MCDC-level testing for auto-generated code in A-FADEC systems and performing dynamic and static analysis to identify and mitigate software defects. Across conferences and journals, he has published studies on verification methodologies, safety criteria, IP-core validation procedures, and AI-based static analysis, reinforcing his role in advancing dependable avionics engineering.

Profile : Scopus

Featured Publications

Nanda, M., & Rao, P. R. (2018, May 17). Implementation and verification of an asynchronous FIFO under boundary conditions (Paper ID: NCESC18-181). National Conference on Electronics, Signals and Communication (NCESC-2018), GSSS Institute of Engineering & Technology for Women, Mysore.

Nanda, M., Jayanthi, J., & Rao, P. R. (2018, May 18–19). Aerospace compliant test bench to verify critical aerospace functionalities (Paper ID: CRP18-1007). 3rd International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT-2018), Department of Electronics and Communication Engineering, SVCE, Bangalore.

Nanda, M., & Rao, P. R. (2018). An approach for generating self-checking test bench. International Journal for Research in Applied Science and Engineering Technology, 6(6). (Paper ID: IJRASET17914).

Nanda, M., & Rao, P. R. (2018). Aerospace data bus safety criteria as per DO-254. International Journal of Research and Innovation in Applied Science, 3(6).

Nanda, M., & Rao, P. R. (2018). A procedure to verify and validate an FPGA level testing as per DO-254. International Journal of Research and Innovation in Applied Science, 3(6).

Nanda, M., & Rao, P. R. (2018). Verification cases and procedure for IP-core development. International Journal of Engineering Research and Advanced Technology. (ISSN 2454-6135).

Diogo Santiago | Computer Science | Best Researcher Award

Published on by Book of Award

Mr. Diogo Santiago | Computer Science | Best Researcher Award

Oracle | Brazil

Mr. Diogo Santiago is a highly accomplished technology professional with extensive experience spanning software engineering, big data, and artificial intelligence. Beginning his career in 2009 as a software engineer developing major e-commerce platforms in Brazil, he transitioned into data engineering and science, mastering technologies like Hadoop, Spark, Hive, and Sqoop for large-scale data processing and migration. Since 2018, he has specialized in data science and AI, contributing to diverse projects in computer vision, anomaly detection, logistics optimization, and generative AI, including GAN and diffusion model applications for virtual try-on systems. As an AI Architect at Oracle for LATAM, he designs advanced AI architectures, supports clients with resource planning, and enhances model deployment efficiency through GPU optimization and large language model serving using vLLM and SGLang. His prior roles at Lambda3, Tivit, and Qintess involved developing ML models, data pipelines, and automation systems using cloud technologies such as GCP, AWS, and OCI. With multiple postgraduate qualifications in Big Data and Machine Learning for Finance, along with a Master’s in Medical Texture Imaging, he exemplifies innovation and leadership in merging AI research with scalable enterprise solutions.

Profile : Orcid

Featured Publication

Adorno, P. L. V., Jasenovski, I. M., Santiago, D. F. D. M., & Bergamasco, L. (2023, May 29). Automatic detection of people with reduced mobility using YOLOv5 and data reduction strategy. Conference paper.

 

Victor R.L. Shen | Computer Science | Best Researcher Award

Published on by Book of Award

Prof. Dr. Victor R.L. Shen | Computer Science | Best Researcher Award

National Taipei University | Taiwan

Prof. Dr. Victor R. L. Shen is a highly accomplished scholar and Professor Emeritus in the Department of Computer Science and Information Engineering at National Taipei University, Taiwan. With an extensive academic background, including a Ph.D. in Computer Science from National Taiwan University, he has dedicated decades to advancing research and education in artificial intelligence, Petri net theory, fuzzy logic, cryptography, e-learning systems, IoT, and intelligent computing. Over his distinguished career, he has published 78 documents that collectively received 840 citations across 696 sources, earning him an h-index of 15, reflecting both the depth and impact of his contributions. Beyond his prolific research, Prof. Shen has held prominent academic leadership positions, including Dean, Chairman, and CEO roles at National Taipei University and Ming Chi University of Technology, shaping academic programs and fostering innovation. His global recognition includes visiting professorships, membership in leading professional organizations such as IEEE, ACM, and IET, and numerous prestigious awards for teaching, research, and innovation. With sustained contributions in smart systems, advanced computing, and AI-driven education, Prof. Shen continues to influence the global academic community, leaving a legacy of excellence in both research and pedagogy.

Profiles : Scopus | Orcid

Featured Publications

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Shen, F. H. C., & Lin, Y.-C. (2025). Petri net modeling and analysis of an IoT-enabled system for real-time monitoring of eggplants. Systems Engineering.

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Shen, F. H. C., & Jheng, W.-S. (2025). A novel IoT-enabled system for real-time monitoring home appliances using Petri nets. IEEE Canadian Journal of Electrical and Computer Engineering.

Chang, J.-C., Chen, S.-A., & Shen, V. R. L. (2024). Smart bird identification system based on a hybrid approach: Petri nets, convolutional neural and deep residual networks. Multimedia Tools and Applications, 83(12), 34795–34823.

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Tung, Y.-C., & Lin, J.-F. (2024). A novel IoT-enabled system for real-time face mask recognition based on Petri nets. IEEE Internet of Things Journal, 11(4), 6992–7001.

Yang, C.-Y., Lin, Y.-N., Wang, S.-K., Shen, V. R. L., & Lin, Y.-C. (2024). An edge computing system for fast image recognition based on convolutional neural network and Petri net model. Multimedia Tools and Applications, 83(5), 12849–12873.

Yang, C.-Y., Hwang, M.-S., Tseng, Y.-W., Yang, C.-C., & Shen, V. R. L. (2024). Advancing financial forecasts: Stock price prediction based on time series and machine learning techniques. Applied Artificial Intelligence, 38(1), 1–24.

Lin, Y.-N., Wang, S.-K., Chiou, G.-J., Yang, C.-Y., Shen, V. R. L., & Su, Z. Y. (2023). Development and verification of an IoT-enabled air quality monitoring system based on Petri nets. Wireless Personal Communications, 131(1), 63–87.*

 

Swathi Priyadarshini Tigulla | Computer Science | Best Researcher Award

Published on by Book of Award

Dr. Swathi Priyadarshini Tigulla | Computer Science | Best Researcher Award

Osmania University | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Swathi Priyadarshini Tigulla laid the foundation of her academic journey with a degree in Information Technology, followed by a master’s program in Information Technology with a specialization in network security. Her pursuit of advanced knowledge culminated in a doctoral degree in Computer Science and Engineering from Osmania University. From the beginning, she demonstrated a strong inclination toward solving computational problems and a keen interest in the emerging domains of artificial intelligence, machine learning, and network security.

Professional Endeavors

Her professional career reflects an extensive teaching and mentoring journey across reputed institutions. She began her career as an Assistant Professor in engineering colleges where she taught computer science, network security, and software engineering, and guided student projects. Over the years, she progressed to significant academic roles, including serving as Head of the Department, coordinating extracurricular activities, and contributing to student training and placement. Presently, she continues her academic engagement as an Assistant Professor specializing in artificial intelligence and machine learning, while also actively mentoring projects and participating in innovative academic initiatives such as GEN-AI teams and project schools.

Contributions and Research Focus

Dr. Tigulla’s research is strongly anchored in artificial intelligence, machine learning, and soft computing, with a particular focus on healthcare applications such as heart stroke prediction models. Her publications have proposed innovative approaches that integrate clustering, classification, and deep learning techniques to enhance medical predictions, combining accuracy with practical applicability. Beyond healthcare, her work also explores security strategies in cloud computing and data-driven approaches to protect systems from vulnerabilities. This blend of healthcare informatics and cyber security positions her research at the intersection of technology and community impact.

Accolades and Recognition

Her expertise has been recognized through publications in reputed international journals such as Measurement: Sensors and Journal of Positive School Psychology, along with contributions to international conferences under IEEE. She has served as a reviewer for scholarly journals and academic book chapters, demonstrating her standing as a trusted evaluator in her field. Her involvement as an organizer of technical workshops, hackathons, and project expos reflects her commitment to academic innovation and student skill development, further reinforcing her recognition as a versatile academic leader.

Impact and Influence

The impact of Dr. Tigulla’s work is evident in both her research outcomes and her teaching contributions. Her models for heart stroke prediction contribute significantly to community health by combining artificial intelligence with real-world medical applications. As an educator, she has influenced generations of students by equipping them with knowledge in machine learning, artificial intelligence, and advanced computational concepts. Her leadership in academic events has fostered a culture of innovation, creativity, and hands-on learning among students, thereby extending her influence beyond traditional teaching.

Legacy and Future Contributions

Dr. Tigulla’s legacy is one of blending research excellence with community benefit. By focusing on both healthcare prediction models and system security, she has addressed two domains of immense social importance—public health and digital trust. Looking forward, her future contributions are expected to further deepen the integration of artificial intelligence into real-world applications, enhance her role as a reviewer and academic guide, and continue her efforts to shape students into innovative researchers and industry-ready professionals.

Publications

Article: Developing Heart Stroke Prediction Model using Deep Learning with Combination of Fixed Row Initial Centroid Method with Naïve Bayes, Decision Tree, and Artificial Neural Network
Authors: T. Swathi Priyadarshini, Vuppala Sukanya, Mohd Abdul Hameed
Journal: Measurement: Sensors
Year: 2024

Article: Collaboration of Clustering and Classification Techniques for Better Prediction of Severity of Heart Stroke using Deep Learning
Authors: T. Swathi Priyadarshini, Vuppala Sukanya, Mohd Abdul Hameed
Journal: Measurement: Sensors
Year: 2025

Article: Deep Learning Prediction Model for Predicting Heart Stroke using the Combination Sequential Row Method Integrated with Artificial Neural Network
Authors: T. Swathi Priyadarshini, Mohd Abdul Hameed, Balagadde Ssali Robert
Journal: Journal of Positive School Psychology
Year: 2022

Article: Methods of Hidden Pattern Usage in Cloud Computing Security Strategies with K-means Clustering
Authors: T. Swathi Priyadarshini, Dr. S. Ramachandram
Journal: AIJREAS
Year: 2021

Article: A Review on Security Issue Solving Methods in Public and Private Cloud Computing
Authors: T. Swathi Priyadarshini, S. Ramachandram
Journal: IJMTST
Year: 2020

Conclusion

Dr. Swathi Priyadarshini Tigulla embodies the qualities of an academician and researcher who successfully bridges the gap between theoretical advancements and community impact. Her journey, marked by academic rigor, extensive teaching experience, and impactful research, showcases her dedication to advancing artificial intelligence and machine learning for practical applications. Recognized as both a researcher and a mentor, she continues to inspire through her contributions in education, healthcare, and cyber security. In conclusion, her career highlights a sustained commitment to knowledge, innovation, and community-oriented research, establishing her as a distinguished academic voice in the field of computer science and engineering.

 

Lubin Wang | Computer Science | Best Researcher Award

Published on by Book of Award

Mr. Lubin Wang | Computer Science | Best Researcher Award

Guilin Institute of Information Technology | China

Author Profile

Orcid

🎓 Early Academic Pursuits

Mr. Lubin Wang began his academic journey with a Bachelor's degree in Computer Science and Technology at Shanxi Datong University. His early years were marked by active engagement in software development projects, where he not only served as a core developer but also honed critical skills in modular design, teamwork, and leadership. His proactive involvement in both academic and extracurricular technology initiatives laid a strong foundation for his future research career. Notably, he contributed to an open-source database management tool on GitHub that garnered over 2.4k stars, reflecting early promise and innovation.

💼 Professional Endeavors

Following his undergraduate studies, Mr. Wang advanced his expertise by enrolling in a Master's program at Guilin University of Technology, in collaboration with the National Space Science Center of the Chinese Academy of Sciences. Throughout this period, he managed several interdisciplinary projects in high-tech domains including IoT, aerospace data systems, and smart manufacturing. As a project lead and software manager, Mr. Wang took charge of planning, coordinating, and executing complex software systems, displaying not only technical aptitude but also remarkable project governance.

🧠 Contributions and Research Focus

Mr. Wang’s research spans a diverse set of domains unified by a core theme—intelligent systems and automation. He spearheaded the design and implementation of a cloud-based smart printing factory platform that combined neural networks with physical control systems, achieving near-perfect detection accuracy. In the realm of smart cities, he developed a novel traffic-responsive lighting control algorithm and integrated it into a robust management platform supported by SpringBoot and MQTT protocols. His contributions to wind turbine diagnostics involved developing MATLAB-based reliability models, while his work on smart oil testing platforms showcased expertise in OCR, blockchain, and predictive analytics.

🏅 Accolades and Recognition

Mr. Wang has earned numerous accolades that reflect his academic excellence and technical mastery. He secured the First Prize at the National College Student English Vocabulary Challenge in both 2022 and 2023 and was recognized in various programming and language competitions. His academic performance also earned him prestigious scholarships and awards throughout his graduate studies. Beyond these formal recognitions, his influence extends to the online education community, where his Bilibili content channel has amassed thousands of views, demonstrating his ability to communicate complex ideas to broader audiences.

🌍 Impact and Influence

The practical impact of Mr. Wang’s work is far-reaching. His innovations in smart factory and city infrastructure have been piloted at major institutions, contributing to automation, safety, and efficiency. His software and hardware solutions have influenced how industrial faults are detected and managed, while his academic guidance has helped numerous graduate students succeed in their entrance examinations. Mr. Wang’s ability to bridge theory with real-world applications underscores his role as both a thinker and a doer in the field of intelligent systems.

🔮 Legacy and Future Contributions

Looking ahead, Mr. Wang is positioned to continue making transformative contributions to the fields of artificial intelligence, urban computing, and autonomous control systems. His trajectory suggests not only sustained innovation but also leadership in shaping the future of intelligent infrastructure and research-led development. As a mentor, researcher, and technology developer, Mr. Wang is building a legacy defined by curiosity, excellence, and a profound commitment to technological advancement.

Publications

📘 HYFF-CB: Hybrid Feature Fusion Visual Model for Cargo Boxes

Authors: Juedong Li, Kaifan Yang, Cheng Qiu, Lubin Wang, Yujia Cai, Hailan Wei, Qiang Yu, Peng Huang
Journal: Sensors
Year: 2025

📗 BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection

Authors: Long Guo, Lubin Wang (陆斌 王), Qiang Yu, Xiaolan Xie
Journal: Applied Sciences
Year: 2024

📙 DYNet: A Printed Book Detection Model Using Dual Kernel Neural Networks

Authors: Lubin Wang (陆斌 王), Xiaolan Xie, Peng Huang, Qiang Yu
Journal: Sensors
Year: 2023

Yeeshtdevisingh Hosanee | Computer Science | Women Research Award

Published on by Book of Award

Ms. Yeeshtdevisingh Hosanee | Computer Science | Women Research Award 

JCI | Mauritius

Author Profile

Scopus

🎓 Early Academic Pursuits

Ms. Yeeshtdevisingh Hosanee's academic journey is a testament to her passion for continuous learning and excellence in diverse fields. She began with a BSc (Hons) in Computer Science in 2012, graduating with second class first division honors. Her dedication to technical mastery led her to earn an MSc in Software Engineering in 2016 with distinction, followed by an MBA in Banking in 2018, achieving a commendable B+ grade. Currently, she is pursuing a research, further advancing her academic endeavors and research potential.

💼 Professional Endeavors

Her professional career spans over a decade of impactful roles in Mauritius's tech and banking sectors. From her early days as a Junior Windows and Unix Administrator (2009), she grew steadily into technical leadership positions, such as Associate Software Engineer (2012–2016), Cards IT Specialist (2016–2020), and Testing and Automation Analyst (2020–2021). Currently, she is serving as a Project Specialist, applying her extensive knowledge across domains. Simultaneously, Ms. Hosanee has been a part-time lecturer since 2017, inspiring young minds in institutions like the University of Mauritius, Curtin University (Mauritius), and Open University of Mauritius, teaching subjects such as Java programming, database management, and algorithm design.

🧠 Contributions and Research Focus

Ms. Hosanee is known for her strong command over AI-powered automation testing, DevOps, and banking IT systems. Her technical expertise includes performance testing (using JMeter and SOAPUI), system administration, API development, and middleware technologies like SAP PI and IBM App Connect. She has made substantial contributions to card payment systems, with expertise in ATM/POS concepts and compliance standards like PCI DSS and HSM. Her academic research spans Object-Oriented Programming education, ubiquitous learning, and AI-based assessment tools, with publications in IEEE and other notable platforms. She has also developed and published over 18 books, many of which integrate storytelling and poetry with AI and programming education for children, an innovative approach bridging STEM with creativity.

🏆 Accolades and Recognition

Ms. Hosanee’s multifaceted brilliance has garnered her global recognition. In 2019, she won the MT180 “My Thesis in 180 seconds” competition by AUF Canada. She was a Top 30 finalist in the JCI Ten Outstanding Young Persons of the World (2022) and has earned accolades like the 2024 Global Recognition Award, ABLE Golden Book Awards (Australia), and the Sahitya Sparsh Award (India). Her publications have received international attention, especially in digital education and AI advocacy.

🌍 Impact and Influence

Beyond academia and industry, Ms. Hosanee has contributed socially impactful solutions during the COVID-19 pandemic. Her open-source project "Noutiket", a web-based e-ticketing system, was implemented in Mauritius and Algeria to manage public queues for services like blood donation and library usage. This project drew media attention and was featured in several regional news outlets, underlining her commitment to using technology for public good.

✨ Legacy and Future Contributions

Ms. Hosanee’s legacy lies in her transdisciplinary vision—blending AI, education, literature, and social impact. With her imaginative approach, she is redefining how programming and AI can be taught to children and communities through relatable stories and cultural contexts. As she continues her research and expands her reach in AI, IoT, and machine learning, her future promises even deeper influence in shaping inclusive digital literacy and AI education.

Publications

📄 "An Enhanced Software Tool to Aid Novices in Learning Object-Oriented Programming (OOP)"

  • Authors: Yeeshtdevisingh Hosanee, Shireen Panchoo

  • Journal/Conference: 2015 International Conference on Emerging Trends in Electrical, Electronics and Sustainable Energy Systems (ICETEESES)

  • Publisher: IEEE

  • Publication Date: January 7, 2016

📄"The Implementation of a 2 User-Proficiency Level Novice OOP Software Tool"

  • Authors: Yeeshtdevisingh Hosanee, Shireen Panchoo

  • Conference: 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech)

  • Publisher: IEEE

  • Publication Date: November 10, 2016

📄 "Teaching English Literacy to Standard One Students: Requirements Determination for Remediation Through ICT"

  • Authors: Yeeshtdevisingh Hosanee, Shireen Panchoo

  • Conference: 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech)

  • Publisher: IEEE

  • Publication Date: November 10, 2016

📄 "The Analysis and the Need of Ubiquitous Learning to Engage Children in Coding"

  • Authors: Yeeshtdevisingh Hosanee, Shireen Panchoo

  • Conference: 2018 International Conference on Electrical, Electronics, and Computer Engineering (ELECOM)

  • Publisher: ELECOM

  • Publication Date: November 28–30, 2018

📄"The Need to Teach Object-Oriented Programming in Undergraduate Courses"

  • Author: Yeeshtdevisingh Hosanee

  • Publisher: GRIN Publishing

  • Publication Date: June 28, 2016

 

Shaik Salma Asiya Begum | Computer Science | Best Researcher Award

Published on by Book of Award

Dr. Shaik Salma Asiya Begum | Computer Science | Best Researcher Award

LBRCE College | India

Author Profile

Scopus

🎓 Early Academic Pursuits

Dr. Shaik Salma Asiya Begum's journey in academia began with a strong foundation in science and mathematics. From excelling in her SSC with distinction to graduating with a B.Tech in Computer Science from Nimra Women’s College of Engineering, her passion for technology was evident early on. She pursued her M.Tech in Computer Science and Engineering at Nova College, earning first-class distinction, and recently completed her Ph.D. at VIT-AP University in 2024, further cementing her expertise in advanced computing.

👩‍💼 Professional Endeavors

Dr. Salma has amassed rich experience across prestigious institutions. She currently serves as an Associate Professor at LBRCE, Mylavaram. Previously, she was a Research Assistant at VIT-AP University and held academic roles at Amrita Sai Institute and Nova College. Her teaching portfolio spans undergraduate to postgraduate courses, including MCA and B.Pharmacy, and she has also delivered guest lectures to international students. She has skillfully balanced teaching with academic administration and NAAC coordination.

🔬 Contributions and Research Focus

Dr. Salma's research spans deep learning, plant disease detection, cloud-fog computing, vehicular networks, and optimization algorithms. Her work showcases technical depth and innovation, as seen in her SCIE and Scopus-indexed papers and conference presentations. She developed models like GSAtt-CMNetV3 and CNBLM and contributed significantly to agricultural and vehicular AI. Her research bridges AI applications with real-world problems, particularly in agriculture and smart environments.

🏆 Accolades and Recognition

Dr. Salma’s excellence has been recognized through several Best Research Paper Awards, notably at ICRTAC’23 and iDEAAS 2024. Her innovations have also led to a patented system for potato plant disease surveillance using AI. She has actively participated in and coordinated various faculty development programs and workshops, reflecting her commitment to continuous learning and knowledge dissemination.

🌍 Impact and Influence

With over a decade of teaching and research experience, Dr. Salma has made a profound impact on students, peers, and the academic community. Her mentorship of B.Tech and MCA projects, guest lectures, and departmental leadership roles highlight her influential presence in academia. Her contributions in leveraging AI for agriculture, environment, and smart systems are paving new directions in applied computing.

✨ Legacy and Future Contributions

Dr. Salma Asiya Begum is not just an educator but a visionary research leader. As she continues to explore cutting-edge technologies, her future work is poised to influence AI-driven agriculture, sustainable computing, and smart infrastructure. Her academic legacy will be defined by her dedication to empowering students, fostering research excellence, and making technology work for the greater good.

Publications

 📄 Feature Selection Using Hybridized Genghis Khan Shark with Snow Ablation Optimization Technique for Multi-Disease Prognosis

Authors: Ruqsar Zaitoon, Shaik Salma Asiya Begum, Sachi Nandan Mohanty, Deepa Jose
Journal: Intelligence-Based Medicine
Year: 2025

 📄 Navigating the Future of Intelligent Transportation: Challenges and Solutions in 6G V2X and V2V Networks

Authors: Spandana Mande, Shaik Salma Asiya Begum, Nandhakumar Ramachandran
Journal: EAI Endorsed Transactions on Internet of Things
Year: 2025

Zhigang Chen | Computer Science | Best Researcher Award

Published on by Book of Award

Mr. Zhigang Chen | Computer Science | Best Researcher Award

Central South University | China

Author Profile

Scopus

🎓 Early Academic Pursuits

Mr. Zhigang Chen embarked on his academic path in the field of Computer Science and Technology, eventually specializing in Computer Engineering. His formative education and early career reflect a strong focus on engineering fundamentals, technical proficiency, and emerging technologies.

🏢 Professional Endeavors

Mr. Chen currently serves as a Professor at the School of Computer Science, Central South University (CSU) in Changsha, Hunan Province, China. While he does not hold an administrative role, his professional impact is rooted in his extensive academic and instructional contributions. His core subject area lies in Computer Science and Engineering, with a specialized focus on the Internet of Things (IoT) and Distributed Systems.

🔍 Contributions and Research Focus

Mr. Chen’s research has significantly advanced fields such as IoT infrastructure, networked computing, and distributed teaching platforms. His academic influence also extends into curriculum development and instructional strategy, particularly in integrating practical and forward-looking technologies into the computer science education framework. His work fosters a solid technical foundation among students while equipping them with knowledge of future-facing innovations.

🏆 Accolades and Recognition

Mr. Chen has received national-level recognition for his contributions to software engineering education and technological instruction. His efforts have been pivotal in elevating the quality of teaching and research output at CSU, and he has played a role in formulating standards for curriculum structure and teaching methodologies in computer-related disciplines. He has been nominated to serve as Deputy Director of the Teaching Steering Committee for Software Engineering, a role that acknowledges both his leadership and subject matter expertise.

🌍 Impact and Influence

By actively contributing to the growth of IoT and distributed computing studies in China, Mr. Chen has helped shape a generation of computer science professionals. His work bridges engineering theory and applied innovation, with an impact visible in both academic circles and industrial collaboration. His guidance in curriculum reform and digital education platforms has influenced regional and national approaches to computer science education.

🌟 Legacy and Future Contributions

Mr. Zhigang Chen’s career is a testament to long-term dedication to educational excellence, technical innovation, and mentorship in engineering disciplines. As a thought leader in software engineering and emerging network technologies, he is poised to continue influencing the development of smart educational systems and integrated IoT frameworks. His future contributions will likely emphasize interdisciplinary learning environments, preparing students for the rapidly evolving technological landscape, and continuing to shape national education policy in computing.

Publications

📄SQID: A Deep Learning and Network Design Synergy for Next-Generation IoT Resource Allocation Management
Authors: A.M. Ibrahim, Ali M.A.; Z. Chen, Zhigang; Y. Wang, Yijie; H.A. Eljailany, Hala A.
Journal: Computer Communications
Year: 2025

📄 UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors
Authors: Y. Xu, Yi; Z. Chen, Zhigang; M. Zhao, Ming; J. Liu, Jiaqi; N. Kato, Nei
Journal: IEEE Open Journal of the Computer Society
Year: 2025

📄Parallel Support Vector Machine Algorithm Based on Relative Entropy and Cosine Similarity
Authors: Y. Mao, Yinmin; B. Quo, Binbin; J. Yi, Jianbing; Z. Chen, Zhigang
Journal: Computer Integrated Manufacturing Systems (CIMS)
Year: 2024

📄 Advancing 6G-IoT Networks: Willow Catkin Packet Transmission Scheduling with AI and Bayesian Game-Theoretic Approach-Based Resource Allocation
Authors: A.M. Ibrahim, Ali M.A.; Z. Chen, Zhigang; H.A. Eljailany, Hala A.; K.A. Abouda, Khalid A.; W.M. Idress, Wail M.
Journal: Internet of Things (Netherlands)
Year: 2024

Emmanuel Ajah | Business, Management and Accounting | Editorial Board Member

Published on by Book of Award

Dr. Emmanuel Ajah | Business, Management and Accounting | Editorial Board Member

Nigeria Communication Satellite Limited | Nigeria

Author Profile

Scopus

🎓 Early Academic Pursuits

Dr. Emmanuel Ajah's academic journey is marked by a strong foundation in engineering and information technology. His passion for digital business development led him to earn a Doctor of Philosophy (PhD) in Information Systems from the American University of Nigeria. His thesis, titled "Investigating Digital Platform Boundary Resource Mechanisms Fostering the Process of Digital Entrepreneurship Development in Nigeria: A Critical Realist Perspective," explored the underlying mechanisms driving digital start-ups in Nigeria. His academic excellence earned him The Outstanding Doctoral Student Award in recognition of his research contributions.

His educational background spans multiple disciplines, including a Master of Science (MSc.) in Information Technology, an Executive MBA, and a Postgraduate Diploma in Electrical Engineering. His early studies in Electronics and Telecommunication Engineering laid the groundwork for his future expertise in digital entrepreneurship and business technology.

🌟 Professional Endeavors

Dr. Ajah's professional career has been diverse and impactful. He currently serves as a Technical Pre-Sales Engineer at Nigeria Communication Satellite Limited, where he collaborates with sales teams to promote technological products and solutions. His role involves developing proposals, conducting presentations, and assisting clients in integrating digital technologies into their operations.

Additionally, Dr. Ajah has contributed to national security and defense through his role as a Resource Fellow at the Nigeria Airforce and Defence Space Administration. His expertise in Communication Satellite Applications and Operations has been instrumental in training military personnel on space technology applications.

📚 Contributions and Research Focus

Dr. Ajah’s research is at the intersection of digital entrepreneurship, emerging technologies, and business model innovation. His work examines the role of AI, Blockchain, Cloud Computing, and Big Data Analytics in transforming digital business landscapes. His notable research contributions include studies on:

  • The influence of digital platform boundary resources on third-party application developers.
  • Factors driving digital start-up survival in emerging markets.
  • The evolving role of digital technology affordances in reshaping entrepreneurship.

His scholarly work has been published in prestigious journals such as Digital Business, The African Journal of Information Systems, and the Journal of Electronic Business & Digital Economics. His upcoming publication in The Electronic Journal of Information Systems in Developing Countries (EJISDC) further solidifies his position as a thought leader in digital business research.

🏆 Accolades and Recognition

Dr. Ajah’s research excellence has earned him several prestigious recognitions. His paper, "Mechanisms Fostering Tech Start-up Emergence in the Nigerian Digital Ecosystem," was ranked among the Top 25% Best Papers at the Americas Conference on Information Systems (AMCIS 2021). His contributions to digital entrepreneurship development have been widely acknowledged by leading academic and industry forums.

🎬 Impact and Influence

Beyond academia, Dr. Ajah has made significant contributions to the practical development of Nigeria’s digital economy. His research findings have informed policy discussions on digital business innovation, and his training sessions for the Nigeria Airforce and Defense Space Administration have enhanced national capabilities in satellite communications. Through his mentorship and teaching, he has inspired the next generation of digital entrepreneurs and information systems professionals.

🌍 Legacy and Future Contributions

Looking ahead, Dr. Ajah envisions further exploring the strategic role of digital technology in business model innovation. He aims to investigate blockchain-based business models and their applications across various industries. His long-term goal is to bridge the gap between academic research and industry practice, ensuring that digital entrepreneurs in emerging economies have the knowledge and tools needed for success. Through continued research, teaching, and consultancy, Dr. Ajah is set to leave a lasting impact on the global digital entrepreneurship ecosystem.

 

Publications

📄  Explicating transcendental factors for viable digital business: Towards an explanatory model for digital start-up emergence
Author: Ajah, E.O.
Journal: Digital Business
Year: 2025

📄  Investigating the factors fostering early-stage digital start-up survival during gestation in Nigeria market
Author: Ajah, E.O.
Journal: Digital Business
Year: 2023