Mr. Rouhollah Ahmadian – Artificial Intelligence – Best Researcher Award

Posted on by Innovator Awards

Mr. Rouhollah Ahmadian - Artificial Intelligence - Best Researcher Award

Amirkabir university of technology - Iran

Author Profile 

SCOPUS 

ORCID 

🎓 Early academic pursuits

Rouhollah Ahmadian’s journey into computer science began with a strong academic foundation at the university of tabriz, where he earned a bachelor’s degree in computer science. graduating in 2015 with a commendable gpa of 3.3/4 (16.77/20), he ranked among the top 1% of his cohort. his academic curiosity deepened at amirkabir university of technology, where he pursued both his master’s and ph.d. degrees in computer science. excelling in advanced topics like data mining, machine learning, and data analytics, he maintained exceptional gpas, earning recognition as a top performer in his graduate studies.

💼 Professional endeavors

Rouhollah’s career is marked by a rich blend of academic and industry experiences. as a data scientist at norc, amirkabir university of technology, he contributed to impactful projects like license plate recognition. his entrepreneurial spirit shone through his work as a freelance android developer, creating innovative applications across various domains, including municipal automation, real estate, messaging, and green iot systems. his roles at organizations like noor islamic sciences research center and al-zahra society allowed him to develop apps for religious, educational, and journalistic purposes, demonstrating his versatility in android development.

🔍 Contributions and research focus

Rouhollah’s research focuses on leveraging machine learning to solve real-world problems. his projects, such as driver identification using imu data, involved advanced techniques like data augmentation with gans, discrete wavelet transformations, and probabilistic classification. he also integrated sliding window Artificial Intelligence segmentation and probabilistic fusion methods to enhance the accuracy of classification models. his work highlights his dedication to innovation and advancing the field of machine learning for practical applications.

🏆 Accolades and recognition

Throughout his academic journey, rouhollah consistently stood out as a top-performing student. he ranked in the top 1% of his cohorts during both his bachelor’s and master’s programs, earning accolades for his outstanding gpa. his excellence extended beyond academics, as his contributions to diverse projects gained recognition Artificial Intelligence within both academic and professional circles.

🌍 Impact and influence

Rouhollah’s multifaceted work has had a significant impact on various sectors, from education and journalism to real estate and automation. his android applications have improved accessibility, efficiency, and user experiences in these fields. his academic contributions in machine learning have also influenced peers and Artificial Intelligence researchers, enriching the body of knowledge in data science and artificial intelligence.

🛠️ Legacy and future contributions

With a robust foundation in computer science, extensive professional experience, and a passion for innovation, rouhollah ahmadian is poised to leave a lasting legacy in the field of data science. his work in machine learning and android development demonstrates a commitment to creating practical solutions that address pressing challenges. as he continues his research and development efforts, he is set to make further strides in advancing technology and inspiring future scientists.

Notable Publications 

  • Title: Enhancing user identification through batch averaging of independent window subsequences using smartphone and wearable data
    Authors: Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström
    Journal: Computers & Security
  • Title: Improved User Identification through Calibrated Monte-Carlo Dropout
    Authors: Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström
    Journal: Knowledge-Based Systems
  • Title: Uncertainty Quantification to Enhance Probabilistic-Fusion-Based User Identification Using Smartphones
    Authors: Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström, Hadi Zare
    Journal: IEEE Internet of Things Journal
  • Title: Driver Identification by an Ensemble of CNNs Obtained from Majority-Voting Model Selection
    Authors: Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström
    Journal: [Book Chapter Title Unknown]
  • Title: Probabilistic Fusion on Sliding Windows of Neural Networks for Spatiotemporal Data Classification
    Authors: Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström
    Journal: SSRN

Mr. md Ali Akber – Natural Language Processing – Excellence in Innovation

Posted on by Innovator Awards

Mr. md Ali Akber - Natural Language Processing - Excellence in Innovation

AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY - Bangladesh

Author Profile

GOOGLE SCHOLAR

🌱 Early academic pursuits

md Ali Akber's academic journey began with a strong foundation in computer science and engineering. in 2023, he earned his bachelor's degree from ahsanullah university of science and technology, bangladesh, with a remarkable gpa of 3.592. his academic curiosity was demonstrated through a thesis focused on natural language processing (nlp), a cutting-edge field at the intersection of linguistics and machine learning. this research solidified his expertise and passion for exploring language technology and computational algorithms, positioning him for a future in academia and research.

💼 Professional endeavors

since february 2024, md Ali Akber has been serving as a lecturer at daffodil international university (diu) in the department of software engineering. his role encompasses a wide range of academic responsibilities, from teaching theory courses to conducting lab sessions and mentoring students. his teaching portfolio includes key courses like "introduction to software engineering," "data structure lab," and "object-oriented concepts," highlighting his versatility and expertise in guiding the next generation of software engineers.

📚 Contributions and research focus

md Ali Akber’s research contributions are making waves in the field of natural language processing and personality analysis. his publication on "personality and emotion – a comprehensive analysis using contextual text embeddings" breaks new ground by using machine learning to explore the complex relationship between Natural Language Processing personality traits and emotions through social media analysis. another significant work, "personality prediction based on contextual feature embedding sbert," focuses on automating personality predictions using sentence transformers and machine learning models. his research, blending advanced algorithms with human behavioral studies, showcases his commitment to impactful and innovative research.

🏆 Accolades and recognition

through his research publications in reputable journals and conferences, md ali akber has garnered recognition in the academic community. his work on personality prediction and the explainability of machine learning models in news category classification has been particularly well-received, with his model achieving outstanding Natural Language Processing accuracy, far surpassing contemporary benchmarks. his contributions to machine learning and artificial intelligence are setting a high bar in the field, as seen in his successful publications in prestigious platforms such as the ieee region 10 symposium and the natural language processing journal.

🌍 Impact and influence

md Ali Akber’s work has had a broad-reaching impact, particularly in the application of machine learning to personality prediction and nlp. his research not only contributes to academic knowledge but also offers practical applications, especially in understanding human behavior through digital footprints. by exploring the Natural Language Processing intersection of artificial intelligence and psychology, he is paving the way for more intuitive and responsive human-computer interactions. his teachings and mentorship at diu further amplify his influence by shaping the minds of young engineers.

🔮 Legacy and future contributions

looking ahead, md Ali Akber is poised to continue his work at the frontier of natural language processing and artificial intelligence. his dedication to the explainability of machine learning models reflects a broader commitment to ethical ai development, ensuring that future systems are both transparent and user-friendly. as he progresses in his career, he will likely contribute more groundbreaking research, further advancing the understanding of machine learning's role in human-computer interaction and behavioral analysis.

Notable Publications 

  1. Title: Personality Prediction Based on Contextual Feature Embedding SBERT
    Authors: MA Akber, T Ferdousi, R Ahmed, R Asfara, R Rab
    Journal: 2023 IEEE Region 10 Symposium (TENSYMP), 1-5 (2023)
  2. Title: Personality and Emotion—A Comprehensive Analysis Using Contextual Text Embeddings
    Authors: A Akber, T Ferdousi, R Ahmed, R Asfara, R Rab, U Zakia
    Journal: Natural Language Processing Journal, 100105 (2024)
  3. Title: Interpretability of Machine Learning Algorithms for News Category Classification Using XAI
    Authors: N Tabassoum, MA Akber
    Journal: 2024 6th International Conference on Electrical Engineering and Information (2024)