Shelia Guberman (born 25 February 1930, Ukraine, USSR) is a scientist in computer science, nuclear physics, geology, geophysics, medicine, artificial intelligence and perception.

He proposed the D-waves theory of Earth seismicity,[1] algorithms of Gestalt-perception (1980) and Image segmentation[broken anchor], and programs for the technology of oil and gas fields exploration (1985).

From 1947 to 1952 Guberman studied at the Institute of Electrical Communications, Odessa, USSR, graduating in radio engineering.

In 1966 he was invited by the outstanding mathematician of the XX century Prof. Israel Gelfand to lead the Artificial Intelligence team in Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences.

Guberman is the inventor of the handwriting recognition technology implemented in the commercial product by the company "Paragraph International" founded by Stepan Pachikov, and used today by Microsoft in Windows CE.

The variations, which characters undergo during the writing, are restricted by the rule: each element can be transformed only into his neighbor in the ordered sequence of primitives.

Based on this approach two USA companies Paragraph [ru] and Parascript[5] developed the first commercial products for on-line and off-line free handwriting recognition, which were licensed by Apple, Microsoft, Boeing, Siemens and others.

The difference is that in the classical mirroring phenomena the motor response appears in parallel with the observed movement ("immediate action perception"), and during the handwriting recognition the static stimulus is transformed into a time process by tracing the path of the pen on the paper.

Because of the inertia of the articulatory organs (tongue, lips, jaw) any phoneme interferes with the neighbors and changes its sounding (co-articulation).

In the past in Russian writing after consonant at the end of the word has to be written a special character denoting the neutral vowel – Ъ (the rule was canceled in 1918).3.

In the '70s and '80s Guberman developed an artificial intelligence software and the appropriate technology for geological applications, and used it for predicting places of giant oil/gas deposits.

[14][15][16][17] In 1986 the team published a prognostic map for discovering giant oil and gas fields at the Andes in South America[18] based on abiogenic petroleum origin theory.

The model proposed by Prof. Yury Pikovsky (Moscow State University) assumes that petroleum moves from the mantel to the surface through permeable channels created at the intersection of deep faults.

In the middle of the 20th century, the attention of seismologists was attracted by the phenomenon of chains of earthquakes consistently arising along big faults.

[21][22] Later it was interpreted as waves of tectonic strain[23] In 1975 Guberman proposed the D-waves theory that separates the local processes of stress accumulation and the triggering of earthquakes.

[24] a) a strong earthquake changes the distribution of mass in the Earth's core and accordingly its rate of rotation ω; b) at times when ω reaches a local minimum the disturbances occur at both poles, which propagate along meridians at a constant rate of 0.15°/year (D waves); c) A strong earthquake occurs at the place where tectonic stresses have accumulated, and at a time when two D waves (from poles N and S) have met at that point.

Similar results were demonstrated for California, South-eastern Europe, Asia Minor, Southern Chile, South Sandwich Island, New Zealand, France and Italy[25] The probability that this can happen by chance is < 0,025 in each case.

[28] To test this statement the areas of high seismicity on the Earth were divided in stripes parallel to D-latitudes of order ≤ 4 each 5.625° width (see the map).

Combining it with Prof Pikovsky's hypothesis that the morphostructural knots are pipes that deliver the oil from the mantle to the crust of the Earth follows that big oil/gas fields has also be predominantly located at the discrete D-latitudes.

[30] It was also found that in the morphostructural knots happens most accidents on oil, gas, and water pipelines, and railroad rails.

The decisions are based on neurological and general symptoms collected at the first 12 hours after the patient arrived in the hospital.

The obtained decision rules were preliminary tested for two years: the collected data were send to the computer, and the two prognoses (forecasted outcomes of the operation and the conservative treatment) were placed in the patient's file.