Assoc. Prof. Dr. Md. Jakir Hossen | Deep Learning for Computer Vision | Excellence in Research Award

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Sheilla Ann Pacheco | Deep Learning for Computer Vision | Top Researcher in Computer Vision Award

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Assist. Prof. Dr. Sheilla Ann Pacheco | Deep Learning for Computer Vision | Top Researcher in Computer Vision Award

North Eastern Mindanao State University | Philippines

Dr. Sheilla Ann Bangoy Pacheco is an Assistant Professor at North Eastern Mindanao State University, specializing in machine learning, image processing, and adversarial AI. Her research focuses on robust facial recognition, privacy-preserving federated learning, and healthcare analytics. Her work on SARGAN-based face recognition and adversarial defense contributes to the development of secure and resilient biometric systems. Actively collaborating with international researchers, she adopts interdisciplinary approaches to address real-world challenges, particularly in healthcare and data privacy. Her contributions reflect growing societal relevance and a commitment to advancing trustworthy and secure artificial intelligence systems.

Citation Metrics (Scopus)

15

10

5

0

Citations
10

Documents
5

h-index
2

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications


Enhanced content-based image retrieval using multivisual features fusion.

– International Journal of Computers and Applications, 47(10), 835–856. (2025). Citefd By: 4

Hidden adversarial attack on facial biometrics: A comprehensive survey.

– Procedia Computer Science, 258, 1383–1390. (2025). Cited By: 2

A comprehensive survey on federated learning and its applications in health care.

– In 2024 6th IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp. 407–412). IEEE. (2024).  Cited By: 1

Performance of students in computer programming: An analysis.

– International Journal of Engineering Research in Computer Science and Engineering (IJERCSE), 10(1). (2023).  

Nisharg Nargund | Document Image Analysis | Young Researcher Award

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Mr. Nisharg Nargund | Document Image Analysis | Young Researcher Award

Undergrad Researcher | Kalinga Institute of Industrial Technology | India

Mr. Nisharg Nargund is an emerging researcher in artificial intelligence and machine learning at the Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India. His research focuses on large language models, retrieval-augmented generation, transformer architectures, and multi-agent AI systems. He has authored Ten scholarly and professional publications, with 2 Scopus-indexed documents receiving 19 citations and an h-index of 1. His work has been presented at leading international conferences, earning Best Paper and Best Poster awards. Through academic collaborations, industry internships, and open-source projects, his research contributes to scalable, ethical, and societally impactful AI solutions in education, language technology, and industry.

 

Citation Metrics (Scopus)

30

20

10

0

Citations
19

Documents
2

h-index
1

🟦 Citations 🟥 Documents 🟩 h-index

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           View Google Scholar Profile

Featured Publications


Deep learning in Industry 4.0: Transforming manufacturing through data-driven innovation.

– In Distributed Computing and Intelligent Technology: 20th International Conference, ICDCIT 2024, Bhubaneswar, India, January 17–20, 2024, Proceedings. (2024). Cited By : 31

Conversational text extraction with large language models using retrieval-augmented systems.

– In Proceedings of the 6th International Conference on Computational Intelligence and Networks . (2025). Cited By : 5

Innovative fusion of LSTM and Bi-GRU networks for enhanced hate speech detection in social media.

– International Research Journal of Modernization in Engineering Technology and Science (IRJMETS). (2024). 

Madhuri Rao | Machine Learning | Best Researcher Award

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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.

Shijie Li | Embodied AI | Best Researcher Award

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Dr. Shijie Li | Embodied AI | Best Researcher Award

Scientist | A*STAR Institute for Infocomm Research | Singapore

Dr. Shijie Li is a computer vision researcher with expertise in 3D perception, embodied AI, and vision-language models, contributing to the development of intelligent systems for real-world applications. He earned his Ph.D. in Computer Science from Bonn University under the supervision of Prof. Juergen Gall, following a master’s degree from Nankai University and a bachelor’s degree in Automation Engineering from the University of Electronic Science and Technology of China. His professional experience includes research positions and internships at A*STAR Singapore, Qualcomm AI Research in Amsterdam, Intel Labs in Munich, Alibaba DAMO Academy in China, and Technische Universität München in Germany, showcasing strong international collaborations and applied research expertise. His research interests lie in 3D scene understanding, motion forecasting, vision-language integration, semantic segmentation, and novel view synthesis. He has published in leading journals and conferences such as ICCV, CVPR, IEEE TPAMI, IEEE TNNLS, WACV, BMVC, ICRA, and IROS, reflecting impactful and consistent contributions. His academic excellence has been recognized through scholarships and awards including the Fortis Enterprise Scholarship, National Inspirational Scholarship, First Class Scholarship, and Outstanding Graduate Award. He has also served as a reviewer for top journals and conferences such as IEEE TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, and AAAI, reflecting his active role in the research community. His skills include deep learning, diffusion models, semantic and motion forecasting, vision-language modeling, and embodied AI, with a focus on interdisciplinary innovation. His research impact is reflected in 183 citations, 10 documents, and an h-index of 7.

Profiles: Google Scholar | Scopus | ORCID | LinkedIn

Featured Publications

Li, S., Abu Farha, Y., Liu, Y., Cheng, M., & Gall, J. (2023). MS-TCN++: Multi-stage temporal convolutional network for action segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 6647–6658.

Chen, X., Li, S., Mersch, B., Wiesmann, L., Gall, J., Behley, J., & Stachniss, C. (2021). Moving object segmentation in 3D LiDAR data: A learning-based approach exploiting sequential data. IEEE Robotics and Automation Letters, 6(4), 6529–6536.

Qiu, Y., Liu, Y., Li, S., & Xu, J. (2020). MiniSeg: An extremely minimum network for efficient COVID-19 segmentation. Proceedings of the AAAI Conference on Artificial Intelligence, 34(11), 13180–13187.

Li, S., Chen, X., Liu, Y., Dai, D., Stachniss, C., & Gall, J. (2021). Multi-scale interaction for real-time LiDAR data segmentation on an embedded platform. IEEE Robotics and Automation Letters, 7(2), 738–745.

Li, S., Zhou, Y., Yi, J., & Gall, J. (2021). Spatial-temporal consistency network for low-latency trajectory forecasting. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 10737–10746.

Minh-Son Dao | Deep Learning | Best Researcher Award

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Dr. Minh-Son Dao | Deep Learning | Best Researcher Award

Researcher at The National Institute of Information and Communications Technology (NICT), Japan.

Dr. Minh-Son DAO is a distinguished Senior Researcher and Research Manager at the Big Data Integration Research Center, National Institute of Information and Communications Technology (NICT), Japan. With over two decades of research and leadership experience across academia and government, he leads cutting-edge initiatives in artificial intelligence, big data analytics, and smart IoT systems. He has played a pivotal role in Japan’s Society 5.0 vision through projects like MMCRAI and collaborative smart-city platforms. Dr. DAO is also a committed educator, serving as a thesis supervisor and adjunct lecturer across multiple international universities. His work has earned him numerous accolades, including multiple Best Challenge Awards, national recognitions, and research excellence honors. With over 100 peer-reviewed publications and international partnerships spanning Europe and Asia, he continues to bridge academic rigor with real-world impact. His current focus lies in multimodal AI frameworks and data-driven societal innovation.

Professional Profile

Suitability For Best Researcher Award – Dr. Minh-Son Dao

Dr. Minh-Son DAO exemplifies the qualities of an outstanding researcher through his sustained, interdisciplinary contributions to artificial intelligence, big data analytics, and smart IoT systems. With over 20 years of research leadership, a strong publication record (100+ peer-reviewed papers), and international collaboration across Europe and Asia, he has significantly influenced both theoretical advancements and real-world applications. His active role in Japan’s Society 5.0 vision and the development of the MMCRAI framework further underscore his commitment to data-driven societal innovation. Dr. DAO also demonstrates excellence in mentoring, editorial roles, and academic service, enriching the broader research ecosystem.

Education

Dr. Minh-Son DAO holds a Ph.D. in Information and Communications Technology from Trento University, Italy, where his research focused on similarity measures and shape matching using genetic algorithms. His doctoral dissertation introduced the Edge Potential Function (EPF), a novel contribution to shape-based image retrieval. Prior to that, he earned a Master’s degree in Computer Science from Vietnam National University, specializing in handwritten character recognition using Convolutional Neural Networks—an early demonstration of his interest in deep learning. His Bachelor’s degree, also in Computer Science from the University of HCM City, Vietnam, emphasized image processing and hypertext applications. These academic milestones laid a strong foundation in AI, machine learning, and multimedia processing, enabling him to merge theoretical knowledge with practical innovation throughout his career. His educational journey reflects a continuous pursuit of excellence across diverse computational and applied domains.

Experience

Dr. Minh-Son DAO brings over 20 years of extensive research and leadership experience across Asia and Europe. Currently, he serves as Research Manager and Senior Researcher at NICT Japan, spearheading national AI and Smart IoT initiatives. His prior roles include Deputy Director and Senior Assistant Professor at Universiti Teknologi Brunei, where he also founded the ELEDIA@UTB lab focused on smart farming and wireless technologies. He has held prestigious research roles at Trento University, Osaka University (as a JSPS Fellow), and GraphiTech Italy. He has supervised more than 40 postgraduate students, co-authored over 100 publications, and led multi-institutional projects in smart cities, multimedia analytics, and health informatics. His teaching portfolio spans creative multimedia, data science, and database systems. Known for building strong global research networks, Dr. DAO has established successful collaborations with institutions in Norway, Ireland, Vietnam, and Switzerland, playing a vital role in cross-disciplinary and cross-cultural scientific advancements.

Professional Development

Dr. Minh-Son DAO has consistently invested in professional development to enhance his academic and leadership capabilities. He completed the UTB Faculty Development Program and the Foundations of University Learning and Teaching at Universiti Teknologi Brunei, gaining proficiency in teaching pedagogy, assessment strategies, and flipped classroom techniques. He also holds Oracle certifications in SQL, PL/SQL, and web application development. His involvement as a guest editor for high-impact journals such as IEEE ACCESS, ACM TOMM, and Frontiers in Big Data, along with his participation as program committee member for numerous international conferences, highlights his role as a thought leader in multimedia, AI, and big data. Dr. DAO frequently chairs and organizes conferences and workshops, including ICMLSC, ICCRD, and MediaEval. His holistic development in research, teaching, industry consulting, and international collaboration exemplifies a well-rounded professional commitment to lifelong learning and knowledge dissemination in cutting-edge computing technologies.

Research Focus

Dr. Minh-Son DAO’s research primarily focuses on multidisciplinary applications of Artificial Intelligence, Big Data Analytics, and Smart IoT systems, aligning closely with the vision of a data-driven, intelligent society (Society 5.0). His most notable initiative, the Multimodal and Cross-modal AI Framework (MMCRAI), demonstrates his commitment to converting raw multimodal data into actionable insights across domains like environmental monitoring, health informatics, multimedia forensics, and smart cities. He has applied his research to real-world challenges such as air pollution prediction, disaster management, and cheapfake detection. His work spans from foundational AI techniques to practical societal applications, including the integration of sensor networks, robotics, and citizen-driven data platforms. Through collaborative international projects, he explores the intersections between cyber-physical-social systems, smart urban planning, and sustainable development. This focus enables him to address complex problems with scalable, intelligent solutions that impact public health, education, urban resilience, and digital media integrity.

Research Skills

Dr. Minh-Son DAO possesses a comprehensive suite of research skills that bridge theoretical and applied domains. He is proficient in machine learning, deep learning, multimedia retrieval, and big data analytics, often applying these in cross-modal and multimodal AI frameworks. His technical abilities include programming in C++, R, SQL, HTML/JavaScript, and Python, and working with AI tools such as TensorFlow and Keras. Dr. DAO’s expertise spans data fusion, smart sensor integration, pattern recognition, event detection, and AI-based forecasting models, enabling him to tackle large-scale and heterogeneous data sources. Additionally, he has extensive experience in research project management, proposal writing, international collaboration, and supervising graduate students. His editorial and peer-review roles in IEEE, Springer, and Elsevier journals further reflect his analytical and evaluative skill set. These capabilities have allowed him to lead multi-disciplinary teams and create impactful AI-driven solutions for urban management, environmental monitoring, and personalized health analytics.

Awards and Honors

Dr. Minh-Son DAO has received numerous national and international awards recognizing his research excellence and innovation. Notably, he won the Best Challenge Awards at ICMR 2023 and ACM MM 2022 for his groundbreaking work in cheap fake detection. He was honored with the Excellent Performance Award by Japan’s NICT in 2022, reflecting his leadership in national projects. Earlier, he earned first-place awards at prestigious competitions such as image CLEF 2018 and Media Eval 2017 for his contributions to multimedia understanding and disaster response. He received the Research Excellence Mid-Career Academic Award from University Technology Brunei in 2017. His early career was marked by competitive international fellowships, including the JSPS International Fellowship (Japan) and ERCIM Fellowship (Europe), and he was awarded Vietnam’s highest youth scientific honor, the Creative Youth Medal. These accolades affirm his sustained contributions to AI, data science, and societal innovation across multiple countries and disciplines.

Conclusion

Dr. Minh-Son DAO’s profile aligns exceptionally well with the criteria for a Best Researcher Award. His work bridges high-impact research, global collaboration, and societal benefit. His innovations in AI and multimodal systems, combined with his leadership in international research initiatives and dedication to mentorship, make him a deserving candidate. His recognition through prestigious awards and fellowships across continents further validates his global research excellence.

Publication Top Notes

1. Deep learning for mobile multimedia: A survey

  • Authors: K Ota, MS Dao, V Mezaris, FGBD Natale

  • Journal: ACM Transactions on Multimedia Computing, Communications, and Applications

  • Cited by: 188

  • Year: 2017

Summary:
This comprehensive survey explores how deep learning techniques have been adapted and optimized for mobile multimedia applications. It covers both theoretical advancements and practical implementation challenges. The paper also discusses energy efficiency and processing limitations of mobile devices. It has become a foundational reference in mobile multimedia research.

2. Exploring convolutional neural network architectures for EEG feature extraction

  • Authors: I Rakhmatulin, MS Dao, A Nassibi, D Mandic

  • Journal: Sensors, Vol. 24(3), Article 877

  • Cited by: 62

  • Year: 2024

Summary:
This paper investigates CNN-based methods for extracting features from EEG signals, a key step in brain-computer interface development. Multiple CNN architectures are compared for performance and accuracy. The study demonstrates significant improvement in signal interpretation. It contributes to the emerging field of AI-powered neuro technology.

3. Daily human activities recognition using heterogeneous sensors from smartphones

  • Authors: MS Dao, TA Nguyen-Gia, VC Mai

  • Journal: Procedia Computer Science, Vol. 111, pp. 323–328

  • Cited by: 34

  • Year: 2017

Summary:
The paper presents a method for recognizing daily human activities using various smartphone sensors. It highlights sensor fusion techniques to improve detection accuracy. The approach is lightweight and suitable for real-time implementation. It holds potential for fitness, health, and smart environment applications.

4. A real-time complex event discovery platform for cyber-physical-social systems

  • Authors: MS Dao, S Pongpaichet, L Jalali, K Kim, R Jain, K Zettsu

  • Conference: International Conference on Multimedia Retrieval

  • Cited by: 34

  • Year: 2014

Summary:
This work proposes a real-time platform for discovering complex events from integrated cyber, physical, and social sources. It focuses on fusing multi-modal data streams for event detection. The platform is designed for smart city and situational awareness applications. It bridges the gap between social sensing and real-time analytics.

5. Edge potential functions (EPF) and genetic algorithms (GA) for edge-based matching of visual objects

  • Authors: MS Dao, FGB De Natale, A Massa

  • Journal: IEEE Transactions on Multimedia, Vol. 9(1), pp. 120–135

  • Cited by: 33

  • Year: 2006

Summary:
This paper introduces edge potential functions (EPF) combined with genetic algorithms for visual object matching. It enhances robustness in noisy or occluded conditions. The method shows improvements in object recognition performance. It contributes foundational techniques for multimedia and computer vision systems.

Divya Mishra | Machine Learning | Best Researcher Award

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Assoc . Prof . Dr . Divya Mishra | Machine Learning | Best Researcher Award

Associate Professor at GL Bajaj Institute of Technology & Management, Greater Noida, India

Dr. Divya Mishra is a passionate and accomplished academician and AI researcher with over 13 years of cross-sectoral experience spanning academia, research, and industry. Currently serving as an Associate Professor in CSE-AIML at NIET and pursuing post-doctoral research remotely at Infrastructure University Kuala Lumpur (IUKL), her work centers on AI-driven sustainable e-governance. She brings deep expertise in machine learning, deep learning, and neural networks, underpinned by practical software development experience in Java and Python. Her PhD research addressed call drop prediction in mobile networks using an ANN-based model, resulting in near-perfect accuracy. Dr. Mishra is actively engaged in impactful research projects, including patents, edited books, and IEEE conference publications, while serving as a reviewer, session chair, and technical program committee member in prestigious forums. With a commitment to transparency, innovation, and sustainability in digital transformation, she is a leading voice in AI applications for public administration and smart solutions.

Professional Profile 

Education🎓

Dr. Divya Mishra holds a robust academic background in computer science and electronics. She earned her Ph.D. in Computer Science and Engineering from Noida International University in August 2021, with research focused on mitigating mobile network call drops using deep learning. She previously completed her M.Tech in Computer Science (Full-Time) from the same institution with a stellar CGPA of 9.2, securing a Gold Medal. Her postgraduate studies include an MCA from U.P. Technical University in 2011 with 77.4%, and a BCA from IGNOU, New Delhi. She also holds a Diploma in Electronics Engineering from B.T.E. Lucknow with 72.95%. Her academic journey reflects a consistent trajectory of academic excellence, technical competence, and multidisciplinary learning. Recognized for her honors during MCA by the Governor of Uttar Pradesh, Dr. Mishra’s educational path has equipped her with the theoretical and applied foundation required for her advanced research in AI, machine learning, sustainable systems, and digital governance.

Professional Experience📝

Dr. Divya Mishra boasts over 13 years of versatile professional experience across academia, industry, and research. She currently serves as an Associate Professor in the CSE-AIML Department at NIET, Greater Noida, since May 2025, while also pursuing post-doctoral research on AI-driven e-governance at IUKL, Malaysia. Her academic tenure includes Assistant Professor roles at GL Bajaj Institute and GNIOT, where she taught and mentored students in AI, ML, and data analytics. Previously, she was a Research Scholar at Noida International University, contributing significantly to AI-based telecom systems. Her industrial experience includes software development roles at Tripti e Solutions, Apex TG India Pvt. Ltd., and IIHT Ltd, where she also served as Center Head. She began her technical journey as a Diploma Trainee at Indian Telephone Industries Ltd. Her multifaceted experience enables her to seamlessly integrate theoretical concepts with practical applications in her teaching and research efforts.

Research Interest🔎

Dr. Divya Mishra’s research interests lie at the intersection of artificial intelligence, machine learning, deep learning, and sustainable governance systems. She is particularly passionate about developing intelligent, real-time AI-driven solutions for public administration, telecom, e-governance, and smart environmental monitoring. Her doctoral research focused on mitigating call drops in mobile networks through ANN-based models integrated into a real-time mobile application. Her post-doctoral focus extends into AI-powered sustainable e-governance frameworks, emphasizing transparency and accountability. She is also involved in multidisciplinary projects such as wildlife monitoring using deep learning, hand sign language recognition, waste classification, and emotion recognition from voice, reflecting her commitment to using AI for societal benefit. Dr. Mishra’s work spans practical AI implementations in healthcare, energy optimization, VANET security, and IoT systems. Through her edited books, patents, and publications, she continues to explore innovative intersections of AI with sustainability, data integrity, and policy, aligning her research with global digital transformation agendas.

Award and Honor🏆

Dr. Divya Mishra has received numerous accolades recognizing her academic excellence, impactful research, and leadership in AI. Notably, she was honored with the Shakti Award 2024 by Jansharnam NGO on Women’s Day for her outstanding contributions to technology and education. She also received the Gold Medal during her M.Tech, and her MCA degree was conferred by the Governor of Uttar Pradesh, recognizing her academic honors. She was appreciated for her contributions at international conferences like IICS 2021, and awarded the Quality Contribution Award by GNIOT, Greater Noida. Additionally, her leadership as an Innovation Ambassador at GL Bajaj’s Innovation Cell and roles as session chair and reviewer for multiple IEEE and Springer conferences further validate her active participation in shaping global research discourse. Her recognitions from institutional and national forums reflect her continuous drive toward academic excellence, innovative research, and meaningful community contributions in AI and governance.

Research Skill🔬

Dr. Divya Mishra possesses an extensive and dynamic research skill set across the AI landscape. She is proficient in programming languages like Python, Java, and C, and has a deep command over machine learning, deep learning, neural networks, and data analysis. Her expertise includes developing intelligent algorithms for real-time applications, evidenced by her ANN-based call drop prediction model and integration into the MyTelecomApp. She has published and reviewed numerous peer-reviewed papers, contributed to edited books, and filed multiple AI-driven patents across domains such as environment, health, and security. Dr. Mishra excels in research writing, patent drafting, project conceptualization, and conference management. She also has experience in hands-on technical training and mentoring, contributing to student development and curriculum design. Her interdisciplinary skills allow her to translate complex AI frameworks into socially impactful, sustainable solutions, making her a versatile and effective researcher in applied artificial intelligence and digital innovation ecosystems.

Conclusion💡

Dr. Divya Mishra demonstrates strong qualifications, multidisciplinary impact, and innovative leadership that make her a highly suitable candidate for the Best Researcher Award. Her ongoing postdoctoral work, numerous publications, patents, and reviewer engagements speak to her active and impactful research career. With minor enhancements in global collaborations, funding portfolios, and citation metrics, her candidacy would become even more compelling.

Publications Top Noted✍

  1. Title: Self-optimization in LTE: An approach to reduce call drops in mobile network
    Authors: D. Mishra, A. Mishra
    Year: 2018
    Citations: 8

  2. Title: Sentimental Voice Recognition: An Approach to Analyse the Emotion by Voice
    Authors: A. Gupta, D. Mishra
    Year: 2024
    Citations: 2

  3. Title: Neural Network: A Way to Know Consumer Satisfaction During Voice Call
    Authors: D. Mishra, S. Mishra
    Year: 2022
    Citations: 2

  4. Title: Performance Enhanced and Improvised Approach to Reduce Call Drops Using LTE-SON
    Authors: D. Mishra, A. Mishra
    Year: 2019
    Citations: 2

  5. Title: Drowsiness Alert System: An Approach To Save The Life
    Authors: A. Chandra, D. Mishra, B. Shaw, A. Gupta
    Year: 2023
    Citations: 1

  6. Title: Mobility Robustness Optimization Using ANN for Call Drop Prediction
    Authors: D. Mishra, S. Yadav
    Year: 2020
    Citations: 1

  7. Title: Fine tuning of MapReduce jobs using parallel K Map clustering
    Authors: D. Mishra, S. Yadav
    Year: 2019
    Citations: 1

  8. Title: Empowering Sustainable Waste Management: A Comparative Study of Machine Learning Models for Citizen Engagement
    Authors: D. Mishra, R. Kumar, A.B. bin Abdul Hamid
    Year: 2025

  9. Title: Machine Learning: A Self-Optimized Boon for Deaf and Mute to Recognize Real-Time Hand Sign Language
    Authors: P. Pandey, D. Mishra
    Year: 2025

  10. Title: Character Detection: An Approach to Clarify the Texts Using Machine Learning
    Authors: B. Shaw, D. Mishra
    Year: 2025

  11. Title: Intellicam: A Self-Optimizing Approach to Detect Burglary using Machine Learning
    Authors: A. Chandra, D. Mishra
    Year: 2025

  12. Title: Integrating Cryptographic Techniques with Machine Learning Algorithms for Enhanced Data Privacy and Information Security: A Mathematical Framework
    Authors: G. Merlin Florrence, D. Mishra, G. Ghule, P.K. Sahu, Singh
    Year: 2024

  13. Title: A Mathematical Framework for Enhancing IoT Security in VANETs: Optimizing Intrusion Detection Systems through Machine Learning Algorithms
    Authors: D. Mishra, S. Moudgi, D. Virmani, Y.P. Faniband, A.B. Nandyal, P.K. Sahu
    Year: 2024

  14. Title: YOLO: A way to identify gemstone and predict its relevant finger to wear
    Authors: D. Mishra, S. Mishra
    Year: 2023

  15. Title: Instant Energy Products: An Analysis
    Authors: D.M. Mohasin Haque, Irfan Ahamad
    Year: 2023

  16. Title: Mid–Point Sorting Algorithm: A New Way to Sort
    Authors: A. Garg, V. Patel, D. Mishra
    Year: 2022

  17. Title: A review on call drop
    Authors: D. Mishra, A. Mishra
    Year: 2016

Mr. Mohammad Hussein Amiri | Artificial Intelligence | Best Researcher Award

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Mr. Mohammad Hussein Amiri | Artificial Intelligence | Best Researcher Award

Mohammad Hussein Amiri at Shahid Beheshti University, Iran

👨‍🎓 Profiles

Scopus

Orcid

An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants

  • Authors: Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Maryam Khanian Najafabadi, Amin Beheshti, Nima Khodadadi
    Journal: Expert Systems with Applications
    Year: 2025

Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

  • Authors: Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Montazeri, M., Mirjalili, S., Nima Khodadadi
    Journal: Scientific Reports
    Year: 2024

Monitoring UAV status and detecting insulator faults in transmission lines with a new classifier based on aggregation votes between neural networks by interval type-2 TSK fuzzy system

  • Authors: Mohammad Hussein Amiri, Mahdi Pourgholi, Nastaran Mehrabi Hashjin, Mohammadreza Kamali Ardakani
    Journal: Soft Computing
    Year: 2024

Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization

  • Authors: Nastaran Mehrabi Hashjin, Mohammad Hussein Amiri, Ardashir Mohammadzadeh, Seyedali Mirjalili, Nima Khodadadi
    Journal: Cluster Computing
    Year: 2024

Monitoring UAV Status and Detecting Insulation Defects in Transmission Lines with a New Hybrid Classifier based on the Type-2 Fuzzy and Neural Networks

  • Authors: Mohammad Hussein Amiri, Mahdi Pourgholi, Nastaran Mehrabi Hashjin, Mohammadreza Kamali Ardakani
    Journal: Research Square
    Year: 2023

Mr. Siphumelele Zondi | Artificial Intelligence | Best Researcher Award

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Mr. Siphumelele Zondi, Artificial Intelligence, Best Researcher Award

Siphumelele Zondi at Durban University of Technology, South Africa

Professional Profile

🌟 Summary:

Mr. Bhekani Siphumelele Zondi is a charismatic media practitioner, journalist, academic, content lead, and media researcher. With extensive experience in technology, social media, television, online, and radio programming, Zondi has significantly impacted South Africa’s media landscape.

🎓 Education:

  • Master of Arts in Media and Cultural Studies
    • University of Sussex, England (2012 – 2013)
    • Research: Social Media as the New Public Sphere
  • Bachelor of Technology in Journalism
    • Tshwane University of Technology, South Africa (Received Dec 2005)
    • Major: Broadcast Journalism

💼 Professional Experience:

  • Durban University of Technology (DUT)
    • Journalism Lecturer (2019 – Present)
    • Creator & Content Lead, Credible Source by DUT Journalism (2023 – Present)
  • South African Broadcasting Corporation (SABC)
    • Creator, Senior Producer & Presenter: Network (2013 – March 2024)
    • Presenter: Africa Digest (April 2013 – February 2019)
  • CNBC Africa
    • Senior Producer & Presenter (April 2013 – July 2013)
  • Tshwane University of Technology (TUT)
    • Journalism Lecturer (August 2009 – September 2011)
  • e-TV
    • Television News Reporter (April 2005 – September 2006)

🔬 Research Interests:

  • Social Media Engagement
  • Interactions between Politicians, Journalists, and Audiences
  • Use of Artificial Intelligence in Journalism

🏆 Awards & Recognitions:

  • 2017: Mail & Guardian Top 200 Young South Africans
  • 2011: Chevening Scholarship from the British Council
  • 2010: Blog of the Year Award Nomination – Journ’Tau
  • 2008: SABC News Awards Nomination – Best Current Affairs Presenter

🌐 Fellowships:

  • 2010/11: Finland EVA Junior Fellow
  • 2007: Member of Finland Foreign Correspondents’ Programme

📖 Publications Top Noted:

Paper Title: The Role of Artificial Intelligence in Contemporary Journalism Practice in Two African Countries
  • Authors: Siphumelele Zondi, Theodora Adjin-Tettey, Tigere Muringa, Samuel Danso
  • Journal: Media and Journalism
  • Year: 2024

Osamah-Mohammed Alyasiri-Artificial Intelligence-Best Researcher Award

Published on by Computer Vision Awards

Mr. Osamah-Mohammed Alyasiri-Artificial Intelligence-Best Researcher Award

Al-Furat Al-Awsat Technical University-Iraq 

Author Profile

Early Academic Pursuits

Mr. Osamah Mohammed Alyasiri embarked on his academic journey with a Bachelor of Science degree in Computer Science from Mustansiriyah University, Iraq, in 2009. Following his undergraduate studies, he pursued a Master of Science degree in Computer Science from Dr. Babasaheb Ambedkar Marathwada University (Dr. BAMU), India, which he successfully completed in 2013. These formative years laid the groundwork for his future academic and research pursuits, providing him with a strong foundation in computer science.

Professional Endeavors

After completing his master's degree, Mr. Osamah Mohammed Alyasiri ventured into academia, where he began his career as a Lecturer at Al-Furat Al-Awsat Technical University, specifically at the Karbala Technical Institute in Iraq. As a dedicated educator, he assumed the role of imparting knowledge in the Department of Computer Systems Techniques. Concurrently, he pursued his Ph.D. degree with the School of Computer Sciences at Universiti Sains Malaysia, demonstrating his commitment to both teaching and research.

Contributions and Research Focus

Mr. Osamah Mohammed Alyasiri's academic interests primarily revolve around Artificial Intelligence, with a specialization in Text Mining. His research endeavors encompass various facets of AI, including Text Classification, Information Retrieval, Machine Learning, Optimization, Pattern Recognition, Feature Selection, and Generative AI. Through his scholarly contributions, he aims to advance the field of AI and its applications, particularly in harnessing the power of text data for insights and decision-making.

Accolades and Recognition

Mr. Osamah Mohammed Alyasiri has garnered recognition for his scholarly contributions, as evidenced by his citation index in prominent databases such as Scopus and Web of Science. His publications, numbering in the double digits across reputable journals and conference proceedings, reflect the impact of his research in the academic community. Moreover, his editorial appointments in numerous journals and conferences underscore his standing as a respected authority in his field.

Impact and Influence

Through his research, Mr. Osamah Mohammed Alyasiri has made significant contributions to the advancement of Artificial Intelligence and Text Mining. His work has not only expanded the boundaries of knowledge but has also practical implications, potentially revolutionizing industries reliant on data-driven decision-making. By disseminating his findings through publications and conference presentations, he continues to influence and inspire future generations of researchers and practitioners in the field of AI.

In the dynamic landscape of Artificial Intelligence (AI), excellence shines through innovation and dedication. The Artificial Intelligence Award celebrates visionaries like Osamah Mohammed Alyasiri, whose relentless pursuit of knowledge and groundbreaking research have propelled the field forward. With a focus on innovation and excellence, this award recognizes individuals who have demonstrated exceptional contributions to the advancement of AI technologies.

Legacy and Future Contributions

As Mr. Osamah Mohammed Alyasiri progresses in his academic journey, his legacy is marked by a dedication to excellence in both research and teaching. His ongoing pursuit of a Ph.D. signifies his commitment to furthering his scholarly contributions and expanding the frontiers of knowledge in AI and Text Mining. Through mentorship, collaboration, and continued innovation, he aspires to leave a lasting impact on the field while nurturing the next generation of AI researchers and professionals.

In summary, Mr. Osamah Mohammed Alyasiri's journey from his early academic pursuits to his current position as a Lecturer and Ph.D. candidate reflects a trajectory characterized by passion, dedication, and scholarly excellence. His contributions to Artificial Intelligence and Text Mining underscore his significance in the academic community, positioning him as a prominent figure poised to shape the future of AI research and application.

Citations

  • Citations    120
  • h-index          7
  • i10-index       4

Notable Publication