Dr.Mahdieh Khalili

Solid understanding and highly skilled with more than 13 years of experience in designing and implementing complex Deep Neural Network models, including transformers, attention mechanisms, Graph Neural Networks, Multi-modal learning, Generative AI, and Large Language Models (LLM). Proficient in fine-tuning and working with large scale dataset and pretrained models, as well as Machine learning techniques such as managing Docker containers and libraries for model deployment. Google Cloud certified and Tensorflow Machine Learning Professional Certified. Having expertise in different Google Cloud services, including Vertex AI, Kubernetes, Big Query, Conversational Platform, NLP platform, and Vision API. Lead and manage ML Research team, provide technical leadership and able to help the team to grow by transferring the knowledge. Filling Patent Application and having more than 16 published papers in Journals and international conferences. Python level programming Expert and good knowlegde of Data Structures and System Design.

Experienced with developing and deploying machine learning models to solve real-world problems. Utilizes strong coding skills and knowledge of neural networks to enhance software performance. Track record of effective collaboration and continuous learning in fast-paced settings.

• Three years full paid scholarship for Ph.D. from University of Genoa, Italy.
• Two years full paid scholarship for Master in Information Technology Engineering.

Passing AI Specialist courses:

• Reinforcement Learning in Coursera
• Natural Language Processing Specialization
• Generative Adversarial Networks (GANs) Specialization
• Introduction to Self-driving Cars
• State Estimation and Localization for Self-Driving Cars
• Visual Perception for Self-Driving Cars
• Motion Planning for Self-Driving Cars

System and Method for Translating Image of Structural Formula of Chemical Molecule into Textual Identifier, QUAN013US:28122022, 12/28/22, Tensorflow Developer Certificate, 2021, 56233269, Google Cloud Machine Learning Engineer

• Tri-Phasic CT liver Characterization and colour data fusion, Dellepiane. G.S, Khalilinezhad. M, Ferretti. R, International Journal of Advance Research in Computer and Communication Engineering, 4, 08/2015, 2278-1021
• Detecting HCC Tumor in Three Phasic CT liver Images with Optimization of Neural Network, Khalilinezhad. M, Dellepiane. Vernazza. G, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 9, 3, 2015
• A Fuzzy Expert System for Assessing the Internet Stored Based on Web Site Attributes, Khalilinezhad. M, Nadali. A, Dehghani. N, Ghazivakili. M, ACEEE Int. J. on Information Technology, 3, 3, 09/2013
• Extracting Hidden Patterns in Blood Donor Database using Association rule Mining, Khalilinezhad. M, Dellepiane. S, Abedi. F, Vernazza.G, European Data mining conference, Lisbon, Portugal, 07/2014
• Innovation Culture Assessment by Fuzzy System (Case Study: An Iranian IT Company), Goldasteh.P, Nadali.A, Khalilinezhad. M, IEEE 14 on Information Management, Innovation Management and Industrial Engineering, 2011, China
• Prediction of Healthy Blood with Data Mining Classification by using Decision Tree, Naive Bayesian, and SVM Approaches, Khalilinezhad. M, Minae. B, 3rd International Conference on Image, Vision and Computing (ICIVC 2014), Paris, France, 01/2014
• Evaluating Online Shopping Stores Based on Website Attributes Using Fuzzy Expert System, Khalilinezhad. M, Nadai.A, ACEEE International Conference on Advanced in Computer Science and Application, CSA, 2012
• Evaluation Discovered Rules from Association Rules Mining Based on Interestingness Measures Using Fuzzy case study: Credit Score of bank customers Expert System, Khalilinezhad. M, Minae. B, IEEE 14th Application of Digital Information and web Technologies, 2012, USA
• Maturity Assessment of an Information Technology Organization Using Fuzzy Expert System Based on OPM3, Khalilinezhad. M, Nadali. A, IEEE Intentional Conference on Economic Management and Engineering Technology (ICETEM 2012), 2012, China
• Innovation Culture Assessment by a Fuzzy Expert System, Nadali. A, Khalilinezhad. M, IEEE 14th on Information Management, Innovation Management and Industrial Engineering, 2011, China
• Probability Prediction of Having HIV, Hepatitis B, C with using Data Mining Patterns in Blood Transfusion Organization, Khalilinezhad. M, Abedi. F, Nadali. A, Minaee.B, First Conference in Information Technology in Health, 2010, Hormozgan, Iran
• Data mining in Blood Transfusion, Khalilinezhad. M, Minaee. B, 2010, Tehran, Iran
• Identifying the User Behavior Using Association Rules, Khalilinezhad. M, Minaee. B, 2010, Iran
• Data mining in Medicine, Khalilinezhad. M, Minaee. B, 2010, Tehran, Iran
• Strategic planning IS/IT: Approaches & Mechanism, Khalilinezhad. M, Minaee. B, 2010, Tehran, Iran
• Using data mining to discover hidden patterns in identifying the main cause of exemption in blood transfusion organization donors of Hormozgan province, Khalilinezhad. M, Abedi. F., Minaee. B., 2008