Madhuri Rao | Machine Learning | Best Researcher Award

Published on by Computer Vision Awards

Dr. Madhuri Rao | Machine Learning | Best Researcher Award

Senior Assistant Professor | MIT World Peace University | India

Dr. Madhuri Rao is a dedicated researcher and academic in computer science with expertise in wireless sensor networks, Internet of Things, artificial intelligence, blockchain, and cybersecurity, with her current work focusing on deep learning, cloud security, and healthcare applications. She earned her Ph.D. in Computer Science and Engineering from Biju Patnaik University of Technology, where her research emphasized energy-efficient object tracking in wireless sensor networks. Over her career, she has gained extensive professional experience as a faculty member, academic coordinator, research supervisor, and editorial board member, contributing significantly to both teaching and research. She has authored and co-authored numerous publications in reputed journals and conferences, including IEEE, Springer, Elsevier, and Scopus-indexed platforms, along with patents and book chapters that highlight her innovative approach. Her research interests span interdisciplinary applications of advanced technologies to address challenges in security, healthcare, and sustainability, with ongoing involvement in collaborative projects and international initiatives. She has received recognition through awards such as best paper honors and a best research scholar award, underscoring her contributions to the academic community. Her research skills include problem-solving, experimental design, data analysis, and guiding students at undergraduate, postgraduate, and doctoral levels, coupled with active roles as session chair, track chair, and guest lecturer in international conferences. She is also a life member of professional societies and holds certifications that strengthen her academic profile. Her impactful contributions are reflected in 116 citations and an h-index of 7.

Profile: Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  1. Rao, M., & Kamila, N. K. (2021). Cat swarm optimization based autonomous recovery from network partitioning in heterogeneous underwater wireless sensor network. International Journal of System Assurance Engineering and Management, 1–15.

  2. Rao, M., Kamila, N. K., & Kumar, K. V. (2016). Underwater wireless sensor network for tracking ships approaching harbor. 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 1098–1102. IEEE.

  3. Rao, M., & Kamila, N. K. (2018). Spider monkey optimisation based energy efficient clustering in heterogeneous underwater wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing, 29(1–2), 50–63.

  4. Chaudhury, P., Rao, M., & Kumar, K. V. (2009). Symbol based concatenation approach for text to speech system for Hindi using vowel classification technique. 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 1393–1396. IEEE.

  5. Kumar, K. V., Kumari, P., Rao, M., & Mohapatra, D. P. (2022). Metaheuristic feature selection for software fault prediction. Journal of Information and Optimization Sciences, 43(5), 1013–1020.

Omid Hajipoor | Text Generation | Best Researcher Award

Published on by Computer Vision Awards

Mr. Omid Hajipoor | Text Generation | Best Researcher Award

Omid Hajipoor | Amirkabir University of Technology (Tehran Polytechnic) | Iran

Omid Hajipoor is a researcher in artificial intelligence with a strong focus on natural language processing, generative adversarial networks, and large language models. He is currently pursuing his PhD in Computer Engineering at Amirkabir University of Technology, Tehran, building on earlier academic training with a master’s in artificial intelligence and robotics from Malekashtar University and a bachelor’s in software engineering from Birjand University. His professional experience spans roles such as technical product manager, project manager, NLP team leader, and engineer, where he has contributed to the design and development of advanced NLP solutions, chatbots, social media text generation systems, error detection models, and sentiment lexicons. His research interests lie in text generation, adversarial learning, transformers, diffusion models, and applied AI systems for social media and multilingual contexts. He has been involved in impactful projects including railway optimization software, abusive language detection, and generative Persian text applications, and he has published in respected venues such as Neurocomputing and Scopus-indexed journals. In addition to his academic and industrial contributions, he has served as a teaching assistant and lecturer for undergraduate and postgraduate students, and he has mentored teams in innovation events that won recognition. His research skills include programming in Python, MATLAB, and C++, expertise in PyTorch, TensorFlow, and other machine learning frameworks, and strong experience in project management tools like Git and Docker. He has demonstrated leadership, creativity, and technical proficiency throughout his career. His research record shows citations by 2 documents from 1 publication with an h-index of 1.

Profile: Google Scholar | Scopus 

Featured Publications

Hajipoor, O., Nickabadi, A., & Homayounpour, M. M. (2025). GPTGAN: Utilizing the GPT language model and GAN to enhance adversarial text generation. Neurocomputing, 617, 128865.

Hajipoor, O., & Sadidpour, S. S. (2022). Automatic Persian text generation using rule-based models and word embedding. Electronic and Cyber Defense, 9(4), 43–54.

Hajipoor, O., & Sadidpour, S. S. (2020). Automatic keyword extraction from Persian short text using word2vec. Electronic and Cyber Defense, 8(2), 105–114.