Scientific Center of Fitness & Evaluation

Who are we

We are a scientific center specialized in physical fitness and sports performance evaluation. We combine scientific innovations, technical expertise and modern technologies to develop the sports training system and evaluate sports performance.

We play a pivotal role in enhancing the physical condition of professional athletes and work to promote a culture of sports health for individuals and society.

We provide scientific and technical support based on scientific evidence to athletes in all sports through the Center’s Scientific Committee:

First: A comprehensive assessment of the physical condition and general athletic abilities of the teams and players.
Second: Measuring fitness levels and evaluating the physical performance of professionals.
Third: Kinetic analysis of performance.
Fourth: Training programs specifically designed to improve performance and enhance physical capabilities.

Vission

We are working on building training projects extracted from the latest scientific research in order to support the field of fitness and Egyptian sports training.

Mission

We are working on building training projects extracted from the latest scientific research in order to support the field of fitness and Egyptian sports training.

SCIENTIFIC COUNCIL OF THE CENTER

MESSAGE FROM THE HEAD OF THE CENTER

^{We Provide Knowledge To Benefit Coaches By Enhancing Their Professional Capabilities And Ensuring Continuity In Reaching The Global Summit Competition.}
Within The Framework Of Technological Development (The Internet Of Things), We Support Members Of Scientific Bodies And Researchers In The College Of Sports By Providing Practical Applications To Follow Up On The Continuous Physical Development In The Training Process And To Predict Some Expectations That Support The Player’s Position Physiologically, Physically And Mentally, And The Large Amount Of Additional Data Resulting From Technology .

Prof.Dr. ESSAM FATHY GHAREB
Head Of The Scientific Center For Fitness & Evaluation .
Professor of Sports Training, Faculty of Physical Education, Alexandria University

MEMBERS OF THE SCIENTIFIC COUNCIL

Prof. RAAFAT ABDELMOUNSEF

Professor & Head Of The Athletics Department , Faculty Of Physical Education , Alexandria University

DR. MOAMEN ABDEL GAWAD

Professor Assistant Of Sports Training, Strength & Conditioning, Faculty Of Physical Education, Alexandria University

Learning & Training

Therefore, we contribute to the development of human resources working in sports professions in general, and physical fitness and sports training in particular, by providing courses, seminars and workshops that aim to improve the skills and knowledge of coaches, administrators & employees, increase their efficiency and productivity. acquire new skills, perform their tasks more efficiently, in an effort to better achieve the organization’s goals.

CONSULTING

Scientific Consultations in sports training and fitness are of great importance. It helps in setting the correct goals for players and developing an appropriate training plan according to their fitness level and personal goals. These consultations also provide information about appropriate nutrition and how to improve athletic performance in general. Scientific training advice enhances training effectiveness, reduces the risk of injury & helps individuals achieve better exercise results.

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Comprehensive Evaluation

The center provides accurate and multi-faceted assessments of physical and sporting condition, allowing for better identification of strengths and weaknesses.

Custom Software

Based on the evaluation results, individual training and rehabilitation programs are designed to achieve specific goals, whether for sports performance or general physical fitness.

Modern Technology

The center uses a range of scientific techniques and equipment to ensure the accuracy of assessments and training programs

Scientific Support

The Center Provides Scientific Support Based On Research and Modern Studies in The Field of Training Science and Motor Learning