Wonderful news! Today, the Higher Attestation Commission has officially approved the academic degree of Candidate of Technical Sciences (PhD) for my student, a postgraduate from Yemen — Mohammed Raqeeb Thabit Mohammed Qaid.

Mohammed has proven himself to be a talented young researcher, distinguished by his tremendous diligence, perseverance, and genuine passion for science. By the time of his dissertation defense, he had already authored over 20 scientific publications in peer-reviewed international journals. And what is especially gratifying — he hasn’t slowed down since the defense, continuing to actively pursue research and maintain a strong publication record.

His dissertation, entitled “Combined Fiber-Optic Sensors for Local Temperature Monitoring with Radio-Photonic Interrogation,” was successfully defended in December 2024 at KNRTU-KAI, Department of Radiophotonics and Microwave Technologies. The work received high praise from the academic community.

I sincerely congratulate Mphammed on this important milestone in his life and wish him great scientific success, new discoveries, and continued inspiration!

Indian colleagues devoted an entire paragraph to our article

Indian colleagues Dipten Kumar, Nandini Basumallick, and Debotosh Bhattacharjee in their paper "CCD Array Spectrometer-Based FBG Bragg Wavelength Detection Using ANN Algorithm" devoted an entire paragraph:

Consequently, a neural network-based algorithm is suitable for detecting Bragg wavelength for CCD-based and tunable filter-based interrogators in real-time/time critical applications. In [8], Timur Agliullin et al. proposed a neural network-based algorithm for determining the Bragg wavelength of an FBG sensor for a CCD arraybased interrogator. In that work, the model is trained by the relation ’pixel amplitude (i.e., optical signal intensity captured on each pixel) of CCD sensor vs. absolute wavelength data of FBG spectrum.’ This training is done for some fixed wavelength range (3 nm in their work). However, this method has two significant disadvantages. First, there are cases where the FBG spectrum, due to some precondition (like prestain etc.) shifts significantly and goes out of the wavelength range window used for training (3 nm in the discussed case). The ANN model developed for the FBG sensor that determines the central wavelength from the pixel data can no longer be used in such a thing happens. Second, if the wavelength range window for training increases, the number of training samples will increase proportionately. Therefore, the training window cannot be increased arbitrarily; otherwise, the implementation becomes very expensive.

to our article [8] T. Agliullin, V. Anfinogentov, R. Misbakhov, O. Morozov, A. Nasybullin, A. Sakhabutdinov, B. Valeev, Application of Neural Network Algorithms for Central Wavelength Determination of Fiber Optic Sensors, Applied Sciences 13 (2023) 5338. https://doi.org/10.3390/app13095338.

The new reviewer certificate

 

Miniature fiber-optic temperature sensor

 Russian scientists have introduced a new miniature fiber-optic temperature sensor based on a Fabry–Pérot interferometer located at the tip of an optical fiber. The sensor demonstrates a sensitivity of up to 10 pm/°C, which is an order of magnitude higher than that of traditional fiber-optic sensors. The development utilizes a photopolymer material, and its manufacturing process is noted for its simplicity and cost-effectiveness.

One of the technology's creators, Dr. Airat Sakhabutdinov, remarked: "This sensor opens up new possibilities in fields such as medicine and biology. Its miniature size and high precision make it possible to address temperature control challenges that were previously unattainable."

Additionally, the scientists developed a microwave photonic method for reading the sensor’s data, which eliminates the need for an optical spectrum analyzer. This innovation has reduced the cost of the measurement system, making it more accessible for widespread use. The sensor’s operating temperature range spans from -20°C to +80°C, and its durability exceeds 10,000 heating and cooling cycles.

The technology has already attracted interest from medical research centers and high-tech companies, highlighting its potential for further practical implementation.

Gravity

We all know well that there are only four fundamental forces and interactions, namely: gravitation, electromagnetism, strong and weak nuclear interactions. These four forces together constitute the diversity of all known phenomena in Nature. The weakest of them is gravity. The weakest is the gravitational interaction, the strength of which at an energy of 10⁹ eV is 10³³ times (33 orders of magnitude) less than that of the weak interaction.

However, the most powerful objects in the Universe are created not by strong and weak nuclear interaction (it is clear, they are short-range), but also not by electromagnetism, which is 10 orders of magnitude more powerful than the weak interaction, but by the weakest force in Nature - gravity.

Hypothesis on the Existence of Life in Vacuum Conditions (humor)

In the universe, there may exist living organisms capable of surviving and reproducing in vacuum conditions. Sunlight represents one of the possible sources of energy that is available in significant quantities in space. Microelements and complex molecules necessary for life, such as carbon, hydrogen, oxygen, and nitrogen, can exist in outer space, even though they are scarce.

Fiber-optic hydraulic microphone based on an end-face Fabry-Perot interferometer with an open cavity

 

Authored by: Oleg Morozov; Timur Agliullin; Airat Sakhabutdinov; Artem Kuznetsov; Bulat Valeev; Mohammed Qaid; Roman Ponomarev; Danil Nurmuhametov; Anastasia Ivanovna Shmyrova; Yuri Konstantinov has been accepted in Photonics (ISSN 2304-6732) on 19 December 2023