Work with thought leaders and academic experts from Sharif University of Technology

Parvaneh Khosravi Zadeh is an Iranian linguist and academic. She received her Ph.D. in Linguistics from the University of Tehran in 2006. Prior to that, she obtained her MA in Linguistics from Islamic Azad University, Tehran. She also holds a BA in English Translation from Allameh Tabatabaei University. Dr. Khosravi Zadeh has been working as an Assistant Professor at Sharif University of Technology. She has published numerous articles in prestigious linguistic journals and presented her research at various international conferences. Her areas of expertise include syntax, semantics, computational linguistics, and language acquisition. In addition to her academic work, Dr. Khosravi Zadeh is also involved in community outreach programs, where she promotes multilingualism and cultural diversity. She is passionate about promoting linguistic diversity and understanding among different cultures. Dr. Khosravi Zadeh is highly respected in the field of linguistics and has received numerous awards for her research and contributions to the field. She continues to actively research and teach in her field, and is dedicated to making a positive impact on the world through her work.

I am an experienced researcher and chartered engineer in numerical simulation of geotechnal and structural engineering applications.

Alborz Rezazadeh is a distinguished leader in the fields of AI, machine learning (ML), and computer vision (CV). In his current role as the Director of Applied CV at Recursion, a biotechnology company dedicated to revolutionizing drug discovery through AI, he has developed the applied CV/ML department, overseeing a team of over 10 ML scientists and engineers. Under his visionary leadership, the team has achieved remarkable success in foundational CV models, video analysis, multimodal learning, and the integration of large language models to expedite drug discovery processes. Alborz's leadership has fostered innovation and cost savings in the biotechnology sector. Before joining Recursion, Alborz spent two years as the Team Lead and Staff AI Scientist at LG AI Research Lab, where he led a team of eight ML scientists and engineers, successfully delivering projects in object detection, image classification, real-time pose estimation, and few-shot learning for various applications and LG products. Prior to his time at LG, Alborz contributed to pioneering deep-learning research for smartphones and appliances during his two-year tenure at Samsung AI Research Center. He also published multiple papers in prestigious AI conferences. Before entering the world of AI and ML, from 2012 to 2014, Alborz served as an Electrical Engineer at North Inc, where he was one of the initial two employees and played a pivotal role in the company's transformation into a unicorn startup. Alborz holds a PhD in Biomedical Eng. from the University of Toronto (2014-2018), where he developed groundbreaking brain-computer interfaces. His research earned him the "Best PhD Thesis" award from the University. He obtained his master's degree in Electrical Eng. (EE) from the University of Waterloo (2010-2012) and his B.Sc. degree in EE from Sharif University. Throughout his career, Alborz has demonstrated a passion for technology, visionary leadership, and a commitment to pushing the boundaries of AI.

As a dedicated problem solver, I thrive on employing mathematical tools and engineering insights to tackle complex, real-world challenges. In my Ph.D. at Sharif University of Technology, I focused on statistical and probabilistic modeling of random phenomena using Bayesian inference methods. Additionally, in my master’s thesis, I developed a mathematical model of interacting physics involving structural dynamics, external fluid, and sloshing.

I am a mechanical/biomechanical engineer with special expertise in human performance, Sports and rehabilitation research. • Highly experienced in modelling musculoskeletal models in Simm and Open sim • Highly skilled in developing biomechanical 3D models • Highly experienced in programming with Labview and MATLAB • Highly experienced in designing and installing experimental test • Highly experienced in programming with Visual 3D and Vicon Nexus • Highly experience in MOCAP using IMUs and Camera systems