Meriem Smati | Engineering and Technology | Research Excellence Award

Ms. Meriem Smati | Engineering and Technology | Research Excellence Award

INSA Lyon – Polytechnique Montreal | France

Meriem Smati is a doctoral researcher in a dual-degree PhD program in Computer Science and Industrial Engineering at INSA Lyon and Polytechnique Montréal, focusing on advanced digital engineering and intelligent systems. She holds an Engineer and Master’s degree in Systems Engineering from the Higher School of Computer Science (ESI SBA) and a Bachelor’s degree in Information Systems and Software Engineering, graduating as valedictorian. Her academic and professional experience includes PhD-level research, adjunct lecturing in computer science, and multiple international research internships. Her research interests center on Digital Twins, System-of-Systems engineering, resilience modeling, cognitive and data-driven twins, IoT systems, anomaly detection, and smart city applications, integrating machine learning and simulation-based architectures. She has authored and co-authored peer-reviewed journal and conference publications, a scientific book, and several applied research reports. Her scholarly output is reflected in an approximate. Her work has been recognized through prestigious distinctions, including Best Paper and Best Poster awards at international conferences. Overall, her profile reflects a dynamic early-career researcher contributing impactful methodologies and architectures for resilient, intelligent, and sustainable digital systems.

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Featured Publications

Sridevi S | Engineering and Technology | Best Researcher Award

Dr. Sridevi S | Engineering and Technology | Best Researcher Award

Presidency University | India

Dr. Sridevi S is an accomplished Assistant Professor in Computer Science and Engineering with over seventeen years of academic experience and a Ph.D. completed. She is currently associated with the School of CSE at Presidency University, Bangalore, where she actively contributes to teaching, curriculum design, accreditation activities, and student mentoring. Her academic background includes a Ph.D. in Computer Science and Engineering, an M.Tech in Computer Science and Engineering with distinction, and a Bachelor’s degree in Information Science and Engineering, also with distinction. Dr. Sridevi has extensive experience delivering core and advanced courses such as Data Structures, Computer Networks, Data Mining, Web Technologies, Full Stack Development, and multiple programming languages. Her research interests span 5G and beyond wireless networks, machine learning applications, data analytics, wireless sensor networks, deep learning, and intelligent network optimization. She has published several articles in reputed Scopus-indexed journals and conferences, and her reflects an h-index of 1 with 8 published documents and approximately 2 citations. In addition to her research contributions, she has authored technical books and book chapters with leading publishers. She has been recognized as Best Faculty and has received institutional appreciation for her leadership as Cultural Coordinator. Dr. Sridevi’s career reflects a strong commitment to academic excellence, impactful research, industry-aligned teaching, and holistic student development.

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Featured Publications

DDM: Data-Driven Marketing Using AI, ML, and Big Data
N. N. Ahamed, S. Sridevi, AI-Powered Business Intelligence for Modern Organizations, IGI Global, pp. 79–102, 2025

Real-Time Interference Management in Next-Generation Wireless Systems
S. A. Abidi, D. P. P. D. Beemkumar Nagappan, S. Sridevi, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 2025 (Scopus-Q2)

Heart Arrhythmia Classification Using Machine Learning Algorithms
V. Hiremani, R. M. Devadas, A. Pasha, S. Sridevi, 2nd International Conference on Ambient Intelligence in Health Care, 2023 (Scopus)

Child Safety & Tracking Management System Using GPS, Geo-Fencing and Android Application
S. Sridevi, S. Thakur, PiCES – Perspectives in Communication, Embedded Systems and Signal Processing, 2018

Indian Classical Percussion Instrument Tabla Taal Classification Using Fast Converging CNN
A. R. Sridevi S., Swati Sharma, Clara Kanmani, Nipun Sharma, Syed Abrar Ahmed, IEEE 4th World Conference on Applied Intelligence and Computing (AIC 2025), 2025 (Scopus)