Amirkabir university of technology - Iran
Author Profile
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🎓 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