POOJA B R | COMPUTER APPLICATION | Best Researcher Award

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Mrs. POOJA B R | COMPUTER APPLICATION | Best Researcher Award

Asst Prof, HARSHA GROUP OF INSTITUTIONS, India

Pooja B. R. is a driven professional with a passion for software development and academia. Based in Bangalore, she has rich experience working in various educational institutions, excelling in roles like Software Developer, NAAC Co-Ordinator, AICTE Co-Ordinator, and Visiting Faculty. Her proactive approach and dedication to learning and sharing knowledge make her a valuable contributor to every team she joins.

Publication Profile

Google Scholar

Education 🎓

Pooja is pursuing her MBA at the Krupanidhi Group of Institutions affiliated with Bangalore North University, where she previously completed an MCA with outstanding achievement, securing a Gold Medal and being recognized as the top student. She also holds a BCA from JSS College of Arts, Commerce, and Science under JSS University, Mysore, with excellent grades. Her consistent academic performance highlights her commitment to excellence and growth.

Experience 💼

Pooja has worked across several educational institutions in Bangalore, applying her expertise in both software development and management roles. Her positions range from Software Developer at 42 Students to AICTE Co-Ordinator roles at Dr. Kariappa Business School, Dhanwantari Group of Institutions, and Harsha Institute of Management Studies. She has also served as a Visiting Faculty at IZEE Group of Institutions, and as NAAC Co-Ordinator at the Sindhi Institute of Management.

Research Focus 🔍

Pooja’s research focuses on innovative technology applications, including machine learning for medical data analysis and deep learning in intelligent video surveillance. She has also contributed to research in natural language processing (NLP) for virtual assistants, blending her interests in AI and healthcare to address real-world challenges.

Awards and Honors 🏅

Pooja’s academic excellence is marked by numerous awards, including a University Gold Medal for her MCA and the Best Student Award from Krupanidhi Group of Institutions. She has been recognized as the College Topper (MCA) and College Second Topper (BCA) at JSS College, showcasing her dedication and talent.

Publications 📚

“Intelligent Video Surveillance with Deep Learning” – A publication focused on enhancing video surveillance systems using deep learning techniques to improve accuracy and response times. [Published in Journal Name, 2022, Cited by X articles]

“An Intelligent Virtual Assistant System Using NLP Technique for Lib Bot” – This paper explores the design and development of a virtual assistant system that uses natural language processing to enhance interaction. [Published in Journal Name, 2023, Cited by X articles]

Nasser Mozayani | software | Best Researcher Award

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Dr. Nasser Mozayani | software | Best Researcher Award

Associate Professor, Iran University of Science and technology, Iran

🎓 Dr. Nasser Mozayani is an Associate Professor at the School of Computer Engineering at Iran University of Science and Technology (IUST) in Tehran, Iran. With a distinguished career in computer engineering, he has contributed significantly to research, teaching, and administration in his field. Dr. Mozayani specializes in machine learning, multi-agent systems, and the metaverse, bringing innovative insights into these cutting-edge areas. He has held several prominent positions at IUST, including Dean of the Computer Engineering Department, and has been actively involved in national research and technological projects.

Publication Profile

ORCID

Education

📘 Dr. Mozayani completed his Ph.D. in Informatics at the University of Rennes I in France (1998), where he conducted groundbreaking research on spatio-temporal coding in neural networks. His educational journey also includes an M.Sc. in Telematics & Information Systems from SUPELEC, France (1994), and a B.Sc. in Electrical Engineering (Computer Hardware) from Sharif University of Technology in Tehran, Iran (1990).

Experience

👨‍🏫 Dr. Mozayani has been an Associate Professor at IUST since 1999, teaching undergraduate courses in electronic and electric circuits, and advanced graduate courses in fields like artificial neural networks, digital circuits synthesis, and distributed AI. He has also held visiting professor roles at Allameh Tabatabaee University and Tarbiat Modarres University, where he specialized in educational games and simulations for doctoral students. In administrative capacities, he has led multiple departments and centers at IUST, contributing to the growth of e-learning and technology innovation.

Research Focus

🔬 Dr. Mozayani’s research is centered on machine learning, multi-agent systems, and smart grid applications. He has led numerous projects on smart grid communication protocols, reinforcement learning, and the application of AI in predictive modeling and decision-making for health and energy sectors. His innovative work in hierarchical reinforcement learning has advanced the integration of machine learning in smart grid management and infrastructure.

Awards and Honors

🏆 Dr. Mozayani has supervised the IUST RoboCup team, which achieved notable successes, including a first-place win in the Rescue Virtual Robots competition at the Khwarizmi Young Award (2010) and a top-four ranking in the World RoboCup 2D football simulation (2013). He has also mentored award-winning student projects in digital library development, recognized by the Khwarizmi Young Award.

Publications – Top Notes

“Deployment of a Flexible Communication Protocol for Advanced Metering in Smart Grid” (IUST, 2023), cited by 5 articles Journal: Smart Grid Technologies.

“Algorithmic Trading on Financial Time Series Using Deep Reinforcement Learning” (IUST, 2022), cited by 10 articles Journal: Financial Technology & AI.

“Using Machine Learning Methods to Determine Factors Affecting COVID-19 Mortality Rates” (IUST, 2021), cited by 8 articles Journal: Health Informatics.