Parham Zilouchian

• Chief Teaching Assistant, University of Tehran

This course is under the supervision of Dr. Mohammad Amin Sadeghi & Dr. Mostafa Tavassolipour.
I was responsible for creating video and learning materials for this course.
I was responsible for grading Quizes, Projects and Exams.
I am responsible for designing Project number 4 about Database usage in Data Analytics.

• Teaching Assistant, University of Tehran

This course is under the supervision of Dr. Mohammad Amin Sadeghi.
I am responsible for creating video and learning materials for this course. (you could find some of my videos on my Youtube Channel.)
I am responsible for grading Quizes, Projects and Exams.
I am responsible for designing Project number 4 about Database usage in Data Analytics.

• Scale Transform X - 2022

In 2022, Scale TransformX mainly focused on using AI in the industry and discussed the latest achievements by some researchers and managers in top tech companies like Google.

The discussion which fascinated me the most was a meeting with Eric Schmidt (Former Google CEO) and Alexandr Wang CEO & Founder @ Scale AI. They believe that we are sort of in the midst of an AI renaissance based on the broad use of technology by people and also utilizing basically cutting-edge AI in record time. They gave Stable Diffusion and Dall-E-2 as an example of this for image generation models. They argued that from a business perspective, we are about to see the next era of explosion of productivity and use cases. They also have said that data today is the fundamental blocker of many companies to getting into AI's future. Eric also argued a very interesting fact that generative design is going to have a lot of implications. He argues that the next revolution would be about generating things that are not physically possible. The most obvious ones are basically deep fakes of people who are no longer with us where we can almost talk to them. And these kinds of things, when they happen, which are coming pretty fast, people are going to notice because these are kind of things that we cannot do. And there are going to be ideas at that scale that are going to affect people every day. They also talked about ethics in AI and how AI can be used by bad actors to harm society and even individuals.

• Scale Transform X - 2021

It was a two-day virtual conference focused on bringing together a community of leaders, visionaries, practitioners, and researchers across industries. And the topics that had discussed were concentrating on getting the research and academic works about Artificial Intelligence and related issues into actual use and reality. The most exciting lecture for me was the lecture of Prof. Fei-Fei Li, which was about the evolution that our planet has been through till now and how we could use this evolution in our new research areas, especially in the field of AI.

And also lecture of Prof. Andrew Ng was very exciting, he discussed that how we can use Deep Learning and Machine Learning techniques for Big Data and also Data Analytics.

• FIFTH IPM ADVANCED SCHOOL ON COMPUTING & ARTIFICIAL INTELLIGENCE

The Institute for Research in Fundamental Sciences (IPM) affiliated with the Ministry of Science, Research, and Technology, was founded in 1989 under the name of Institute for Studies in Theoretical Physics and Mathematics. In the Third Advanced School of Computing, experts working on computer architecture were invited to give lectures on various aspects of this influential and evolving branch of computer science. Prof. Oğuz Ergin from TOBB University of Economics and Technology, Prof. Onur Multu from ETH Zurich, Prof. Ozcan Ozturk from Bilkent University, and Prof. Smruti Ranjan Saranji from IIT Delhi were invited to have a talk on memory systems, coherence and consistency, on-chip-network, temperature and power management, and architecture for emerging workloads.

• 2nd International Computer Games Conference; Opportunities & Challenges

This workshop was held in the Institute for Research in Fundamental Sciences (IPM).
It covered coherence and consistency, OpenMP, and CUDA programming.

• Developing fractal trees & jungle,

Development Tools: Python, JavaScript, Three.js, Matplotlib, Python turtle.

Developing an application to draw several types of fractal trees and jungle using L‑Systems.

Bio-Inspired Computing Course by Dr. Masoud Asadpour.

• Developing a Genetic Algorithm application fro ZOE problem,

Development Tools: Python, NumPy, Matplotlib, Pandas.

Developing a genetic algorithm based problem solver to solve ZOE problem.

Bio-Inspired Computing Course by Dr. Masoud Asadpour.

• Particle Swarm Optimization,

Development Tools: Python, NumPy, Matplotlib, Pandas.

Developing a classifier using Particle Swarm Algorithm and K‑Means.

Bio-Inspired Computing Course by Dr. Masoud Asadpour.

• Ant Colony Optimization for Vehicle Routing Problem,

Development Tools: Python, scikit‑learn, NumPy, Matplotlib, Pandas.

Developing an Ant Colony System to solve Vehicle Routing Problem.

Bio-Inspired Computing Course by Dr. Masoud Asadpour.

• Parkinson Disease Classifier,

Development Tools: Python, scikit‑learn, Pandas, Matplotlib.

Designed multiple classifiers based on more than 700 features. (Use 15 different classifiers: KNN, DNN, etc.) (ACC: 98.3%.).

Machine Learning Course by Prof. Babak Nadjar Araabi, Dr. Mohammadreza Abolghasemi Dehaqani.

• Varzesh3 Website Data Analysis,

Development Tools: Python, Beautiful Soup, Selenium, scikit‑learn, Pandas, Matplotlib, etc.

Extracted information of the website using crowler, Analyse and visualize the extracted data.

Machine Learning Course by Prof. Babak Nadjar Araabi, Dr. Mohammadreza Abolghasemi Dehaqani.

• U.S. Car Accidents Analysis Website Data Analysis,

Development Tools: Python, Pandas, NumPy, Matplotlib, Plotly, Seaborn, etc.

Developed application to visualize US Accidents dataset, predicted the most probable time, place for an accient to occure.

Data Analysis Course by Dr. MohamadAmin Sadeghi, Dr. Behnam Bahrak.

• Weather Forecasting Application,

Development Tools: Python, Pytorch, NumPy, Matplotlib, Seaborn.

Developed using RNN, LSTM (Reached to about 97% of Accuracy).

Deep Learning Course by Dr. Ahmad Kalhor.

• German Traffic Sign Classification,

Development Tools: Python, Pytorch, NumPy, Matplotlib, Seaborn.

Used CNNs to classify traffic images. (Reached to about 98.5% of Accuracy.).

Deep Learning Course by Dr. Ahmad Kalhor.

• Build different kinds of GANs,

Development Tools: Python, Pytorch, NumPy, Matplotlib, Seaborn.

Build DCGAN, CGAN, SuperResolution, WGAN, etc.

Deep Learning Course by Dr. Ahmad Kalhor.

• Kashan Holiday(Tourist Website),

Development Tools: Python, Django, JS, AngularJS, HTML, CSS, etc.

Developed a website for tourist guidance related tasks such as booking & viewing hotels in a city, historical sites, ...

Software Engineering Course by Dr. Javad Salimi.

• TechnoFarsh System Analysis,

Development Tools: Enterprise Architect, Microsoft Visio, Trello, etc.

Design a Software Engineering system and different development phases to develop TechnoFarsh E-Commerce Website.

System Analysis and Design Course by Dr. Javad Salimi.

• Heart Patients Data Mining,

Development Tools: RapidMiner.

Design a Software Engineering system and different development phases to develop TechnoFarsh E-Commerce Website.

Data Mining Course by Dr. Mehdi Vahidipour.