• Iman Khazrak

  • Data Scientist | Data Analyst

Iman Khazrak

About Me

Highlights:

• Data Science Ph.D. StudentBowling Green State University, Ohio | Teacher and Research Assistant

• Publications: 12 (published: 7, under preparation: 5)

• GPA: 4 out of 4

Data Science Background

Python (TensorFlow, Scikit-learn, Pandas, NumPy) R, FORTRAN, C++, MATLAB, and acquainted with High-Performance Computing (HPC)   

Machine Learning Data Science Programming Statistical Learning
Deep Learning Database Management (SQL) Statistical Algorithms
Data Mining Exploratory Data Analysis Statistical Graphics
Regression Analysis Sampling Design Probability Theory
Time Series Analysis Experimental Design Mathematical Statistics

Second MSc in Applied Statistics:  Bowling Green State University, Ohio | Teacher and Research Assistant | Expected graduation date: May 2023

First MSc and BSc in Physics: Arak University, Arak, Iran 

 

Experience

2021 – Present | RA and TA, ASOR program, Bowling Green State University, Ohio, USA.

  • Data analyzing COVID-19
    The CDC and John Hopkins datasets were combined to create a reliable dataset for future research. By preprocessing datasets and implementing machine learning models, I could add some new features to the datasets. This position was an invaluable experience.

  • TA Courses:
    Regression Analysis
    Branding
    Consumer Behavior

2019 – 2021 | Deputy Director of Research and Technology, Farabi Institute, Khuzestan, Iran.

I was in charge of determining the general research policies of the institute. Farabi is one of the research institutes under the Ministry of Education of Iran. We were a group of research teachers whose mission is to train the next generation of Iranian researchers.

2008 – 2017 | Adjunct professor, Technical and Vocational University of Ahvaz, Khuzestan, Iran.

2007 – 2015 | Adjunct professor, Payame Noor University, Khuzestan, Iran.

2008 – 2017 | Adjunct professor, Azad University, Khuzestan, Iran.

2004 – 2021 | Physics Teacher, Ministry of Education, Khuzestan, Iran.

While my primary responsibility was teaching physics, I introduced and implemented the American style of teaching physics in Iran. In the new style, the teachers are stationary instead of the traditional approach, which moves teachers and keeps students in the same room for all courses. The new approach is more effective by far for practical courses like physics.

Research

My research has always centered on the field of health using two independent directions:

Prevention through developing new Machine Learning models to protect the environment.

Treatment by developing new technologies for new drugs or diagnostic/therapeutic medical devices.

  • Corporate Carbon Footprint:

For my master’s thesis, I researched corporate carbon footprint using panel data analysis. Corporate carbon footprint is the total amount of greenhouse gases released by the actions of corporations. As greenhouse gas emissions increase, glaciers melt, sea levels rise, water resources are reduced, and global warming is caused. It is the first study to include companies from North America, Europe, Africa, and Asia. The objective of this study is to estimate the CO2 emissions of global companies in 2017, 2018, and 2019 to determine their economic damages. It is also possible to estimate the carbon footprint for the next few years.

  • Wearable Medical Devices

Working on a new generation of wearable medical devices in a digital health analytics project would be helpful and amazing research. Through these devices, we develop and/or improve multiple wearable medical devices that monitor gait and physical activity, and sleep with prevention value. Patients with Parkinson’s disease can use this device at home to determine their drug dosage and disease status. Currently, Parkinson’s patients must visit medical centers in person to monitor the effectiveness of their medications, and there are few specialists in this field and no advanced equipment, so the work is done slowly. Furthermore, many people can’t afford the monitoring costs. Through Wi-Fi, our device records the patient’s movement information and sends it to the patient’s medical file. In this way, monitoring costs are greatly reduced, the patient doesn’t have to visit, and everything is monitored remotely.

  • NonLinear Optics

Lasers’ thermal effects on nonlinear crystals were our focus in nonlinear optics. Nonlinear crystals make laser production much more efficient and cheaper than previous methods. The problem is that the nonlinear crystal burns when it absorbs the laser light, causing its temperature to rise too high. In identifying the mechanism of heat generation and propagation in nonlinear crystals, we assist the manufacturers of these lasers in preventing premature burning, thus reducing the maintenance costs significantly. There are a variety of applications for these lasers in industry, such as medicine, diagnosis, and air pollution evaluation.

    • Treatment Impact: (in medical lasers)

By using lasers properly, surgeons can achieve more complex tasks, reduce blood loss, decrease postoperative discomfort, reduce the risk of wound infection, and improve wound healing..

    • Environmental conservation: (in air pollution monitoring lasers)

The Rayleigh scattering laser radiation is elastically scattered from atoms or molecules without changing its frequency. Pollutants are measured using a variety of remote-sensing instruments.

  • Quantum dots

We have focused on recognizing the optical properties of the most widely used quantum dots (GaN/AlN and InAs/GaAs). The results of our research help manufacturers of new-generation solar cells and personalized medicines produce more efficient products. Any substance can be used if its physical properties are known, and in the case of quantum dots, their optical properties are most important. In production, their interaction with electromagnetic waves can be exploited after learning their optical properties.

    • Application in Medicine:

Treatment Impact:
Quantum dots have unique photophysical properties that make them ideally suited for use in personalized medicine. Multicolor QD probes (A) and particle size-dependent emission colors allow multiplexed biomarker detection. Multiple biomarkers can be simultaneously visualized for molecular profiling of diseases due to narrow emission spectra (B) and efficient light absorption throughout a wide range.

    • Application in Environment:

Environmental Conservation: (in solar cells)
By generating more than one bound electron-hole pair per incoming photon, quantum dots can increase the efficiency of converting sunlight into energy dramatically – perhaps even doubling it in some devices.

 
  • Properties of the Copper Surface:

My first project was a study on the properties of the Copper surface. Medical devices coated with copper have an antibacterial surface. Copper metal makes bacteria unable to survive for long, breaking down at the cellular level before they can cause infection. So, we examined the properties of the Copper surface in all mechanical and medical aspects

 

Iman's Research Stream: My research has always centered on the field of health using two independent directions: prevention and treatment. These include prevention through developing new technologies to protect the environment and treatment by developing new technologies for new drugs or diagnostic/therapeutic medical devices.

Education

Second MSc | Applied Statistics and Operation Research | 2021 – present | Bowling Green State University, Ohio, USA.

GPA: 4 out of 4

 Python (TensorFlow, Scikit-learn, Pandas, NumPy) R, FORTRAN, C++, MATLAB, and acquainted with High-Performance Computing (HPC)   

Machine LearningData Science ProgrammingStatistical Learning
Deep LearningDatabase Management (SQL)Statistical Algorithms
Data MiningExploratory Data AnalysisStatistical Graphics
Regression AnalysisSampling DesignProbability Theory
Time Series AnalysisExperimental DesignMathematical Statistics

First MSc | Physics | 2003 – 2007 | Arak University, Arak, Iran.

BSc | Physics | 1999 – 2003 | Arak University, Arak, Iran.  

Publications

1. Thermally induced phase mismatching in a repetitively pulsed Gaussian pumping KTP crystal: a spatiotemporal treatment, APPLIED OPTICS 54(15):4781-4788 (2015).

2. Shaped-Dependent Optical Properties of InAs/GaAs Quantum Dots presented at XXVI IUPAP Conference on Computational Physics, Boston, Massachusetts, USA (August 2014).

3. Self-channeling of Femtosecond Laser Pulses in Air and its Stability Factor– First National Conference Optics and Laser Engineering-Iran (Nov 2009).

4. Study of The Effect of Rough Surfaces on Contact Cross Section of Cu Surfaces-Iranian Physics Conference, 449(2006).

5. An Optimized Framework for FORTRAN Programming, Second National Conference on Computational Science, Iran Sep 2016.

6. OpenCL2.0 disadvantages in solving physical and engineering problems: Lack of complex data processing, incapable in defining multi-dimensional arrays, and incapable of defining pointer and dynamic variables, 2nd National Conference on Distributed Computing and Big Data Processing, Iran Nov 2016.

7. The advantages of FORTRAN over C++: A comparison of runtime and memory requirement for solving physics and engineering problems, Second National Conference on Computational Science, Iran Sep 2016.

 

Under Preparation:

1. “A depleted and numerical model for pulsed Gaussian wave type II second harmonic generation,”

2. “Heat coupled type II long-pulse second harmonic generation: a model for inclusion of thermal phase mismatching and thermal lensing”

3. “The efficiency changes of pulsed Gaussian second harmonic generation in KTP crystal: investigating the influences of pulse energy, laser spot size, cooling temperature by emphasizing the interaction length scale”

4. “Heat-pulsed second harmonic generation coupling: Reduction in RAM and run-time using algorithm optimization and parallel computing”

5. “Investigation of efficiency and field profile of Bessel-Gauss beams in pulsed second harmonic generation under thermal effects”

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