“Working with Amir was a great experience. He is very skilled and brought a lot of value to our team projects. Amir is smart and very good at solving difficult problems. Being part of the team I led, he taught us new things and helped us improve. Writing scientific articles with him showed me how much he knows and how committed he is to excellence. I fully support him for any future roles in machine learning and research. Amir will be a valuable member of any team he joins.”
Amir Yelenov
Machine Learning and Robotics Engineer
Astana, Kazakhstan
432 connections
About
PhD candidate with a strong academic background and extensive experience in Machine Learning, NLP, and software development. Seeking to leverage my expertise and industry experience to contribute to innovative development projects and drive advancements in a dynamic tech environment.
Activity
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I’m happy to share that I just started a new position as Professor of Robotics.
I’m happy to share that I just started a new position as Professor of Robotics.
Liked by Amir Yelenov
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Our Tactile lab robot and Tactile lab research assistant are on University Webpage.
Our Tactile lab robot and Tactile lab research assistant are on University Webpage.
Liked by Amir Yelenov
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Introducing Voice of Construction: Digest of all episodes in the Construction and AEC space 🚧 Over the past 3 weeks, I collected the feedback from…
Introducing Voice of Construction: Digest of all episodes in the Construction and AEC space 🚧 Over the past 3 weeks, I collected the feedback from…
Liked by Amir Yelenov
Experience
Education
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Nazarbayev University
Doctor of Philosophy - PhD Robotics Engineering
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Robotics Engineering and Machine Learning
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Licenses & Certifications
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Microsoft Azure AI Fundamentals: Explore computer vision
Microsoft Azure
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Publications
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Comprehensive Survey: Approaches to Emerging Technologies Detection within Scientific Publications
Computacion y Sistemas
The identification of breakthrough topics and emerging technologies has been of interest to the governments of many countries and the scientific community since the last century. This study presents the status and trend of the research field through a comprehensive review of relevant publications, a new look at the problem of defining the term "emergent technologies," defining boundaries between similar terms; and a modern baseline method on the citation prediction subtask for the discovery of…
The identification of breakthrough topics and emerging technologies has been of interest to the governments of many countries and the scientific community since the last century. This study presents the status and trend of the research field through a comprehensive review of relevant publications, a new look at the problem of defining the term "emergent technologies," defining boundaries between similar terms; and a modern baseline method on the citation prediction subtask for the discovery of emergent technologies. The outcomes of this technique have demonstrated the significance of features that characterize the preceding 1-year, 2-year, and 3-year citation counts, as well as their impact on the quality of neural network and random forest models. Our hypothesis, however, that author-specific measures may enhance prediction results was not supported. We ascribe this difficulty to the dimensionality curse. The authors examined methodological elements of research and technological development; consequently, it is important to note that, from a technical viewpoint, theoretical research is far from complete due to the vast variety of projects, outstanding challenges, research questions, and market assumptions. Finding more input characteristics to improve the quality of predictions and switching from classification to regression may also improve the precision of the suggested baseline model.
Other authorsSee publication -
On Causality Problem in Natural Language Processing Field
Computacion y Sistemas
Natural language processing (NLP) field has been developing rapidly recently. This article consists mainly of literature review of the basic understanding and solving the causality problem in natural language processing field. Existing models may benefit from the concept of causality because conventional language models are brittle and spurious. Incorporating the principle of causality could assist in resolving this issue. Since this issue affects seriously on the accuracy value of NLP methods…
Natural language processing (NLP) field has been developing rapidly recently. This article consists mainly of literature review of the basic understanding and solving the causality problem in natural language processing field. Existing models may benefit from the concept of causality because conventional language models are brittle and spurious. Incorporating the principle of causality could assist in resolving this issue. Since this issue affects seriously on the accuracy value of NLP methods and algorithms, it is worth paying attention to. Content of the article includes the authors who have been covered this topic and have made researches respecting mentioned problem, the results that have been achieved, the methods and approached that have been used and the data that was used in researches.
Other authorsSee publication -
Long-context Transformers: A survey
IEEE
Current Transformer architecture falls behind in terms of the computational complexity of its attention mechanism, namely being O(N^2 ). That problem leads to this model being unable to efficiently work with long sequences. There were a lot of attempts which tries to deal with this problem. In this paper, we considered the most up-to-date methods and how these methods compare to each other in different tasks. We address their limitations and how well they perform, and which ones are most…
Current Transformer architecture falls behind in terms of the computational complexity of its attention mechanism, namely being O(N^2 ). That problem leads to this model being unable to efficiently work with long sequences. There were a lot of attempts which tries to deal with this problem. In this paper, we considered the most up-to-date methods and how these methods compare to each other in different tasks. We address their limitations and how well they perform, and which ones are most versatile and could be used as a base for future works.
Other authorsSee publication -
VibeRo: Vibrotactile Stiffness Perception Interface for Virtual Reality
IEEE
Haptic interfaces allow a more realistic experience with Virtual Reality (VR). They are used to manipulate virtual objects. These objects can be rigid and soft. In this letter, we have designed and evaluated a vibrotactile hand-held device (VibeRo) to achieve haptic cues of different soft objects. The proposed method is based on combining the vision-driven displacement produced by the pseudo-haptics effect with the haptic illusion of a limb displacement obtained from force-driven synthesis of…
Haptic interfaces allow a more realistic experience with Virtual Reality (VR). They are used to manipulate virtual objects. These objects can be rigid and soft. In this letter, we have designed and evaluated a vibrotactile hand-held device (VibeRo) to achieve haptic cues of different soft objects. The proposed method is based on combining the vision-driven displacement produced by the pseudo-haptics effect with the haptic illusion of a limb displacement obtained from force-driven synthesis of vibration of a contact surface. VibeRo features a voice-coil actuator and force-sensitive resistors for generating squeeze forces at fingertips. We present an evaluation of VibeRo's pseudo-haptic and haptic illusion effects to render soft virtual objects. The efficacy of the approach was validated in experiments with human subjects.
Patents
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Constructor for building productions based on a knowledge base for generating decision-making scenarios
Issued 38500
Design modules with critical applications, notably those responsible for summarizing news, scientific publications, reports, and patents. The common analytical approaches encompass:
Statistical Methods: Extracting keywords or sentences from the text using various types of statistics such as frequency and significance.
Concept-based Methods: Finding relevant text from external sources like Wikipedia and WordNet, then employing statistical, graphical, or other methods to extract the…Design modules with critical applications, notably those responsible for summarizing news, scientific publications, reports, and patents. The common analytical approaches encompass:
Statistical Methods: Extracting keywords or sentences from the text using various types of statistics such as frequency and significance.
Concept-based Methods: Finding relevant text from external sources like Wikipedia and WordNet, then employing statistical, graphical, or other methods to extract the most important words and phrases in a summary.
Thematic Methods: Consisting of two main steps:
a. Extracting core themes and converting the original text into an intermediate representation.
b. Assigning significance scores to each word/sentence in this representation.
LSA Method: Latent Semantic Analysis, an unsupervised algorithm learning semantics from text through the co-occurrence of words, involves:
a. Creating a "term-sentence" matrix from the original text.
b. Performing singular value decomposition to identify relationships between terms and text sentences.
Machine Learning Methods: Viewing text summarization as a supervised or semi-supervised task, the system learns from examples of original texts and their manually created summaries to attempt to generate summaries independently.
Purpose
Text summarization has critical practical applications in automated data processing systems. Specifically, in the AES (Aerospace System) under development, text summarization methods are crucial for constructing conclusions from publications. The PageRank-based text summarization method, initially devised for evaluating the importance of web pages in Google's search system, is also applied to identify the most important sentences or phrases for text summarization. Furthermore, machine learning methods, such as neural network-based models (including BERT, GPT-2, and T5), are employed to detect keywords and phrases in the text, which are then used to create text summaries. -
Aerospace Expert Systems Crawler (AES C)
Issued 29796
- Enhancing the efficiency of planning the development of space systems through the collection and analysis of relevant information in the space sector for further analysis.
- Improving the efficiency of project expertise and decision-making based on collected data.
- Creating a data bank to support the development of startups and scientific projects in creating new services and applications in the space sector.
All of the above constitutes the necessary information infrastructure…- Enhancing the efficiency of planning the development of space systems through the collection and analysis of relevant information in the space sector for further analysis.
- Improving the efficiency of project expertise and decision-making based on collected data.
- Creating a data bank to support the development of startups and scientific projects in creating new services and applications in the space sector.
All of the above constitutes the necessary information infrastructure for developing technology to automate the monitoring of publication activity to analyze global trends in the development of space technologies.
Purpose:
- Preparation and collection of data for evaluating the situation in the space industry for decision-making or for preparing informational analytics for negotiation activities.
- Preparation and collection of data to assess the need for project activities in line with current trends in the development of space technologies."
Projects
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InnerFlame
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ReTalk
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ReTalk is a Anroid Application which helps to find people with similar interests
Languages
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Русский
Native or bilingual proficiency
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Английский
Professional working proficiency
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Казахский
Limited working proficiency
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Join now to viewMore activity by Amir
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I am happy to announce that I have become a recipient of a grant under the Tech Orda program. Thanks to this, I will get the opportunity to study…
I am happy to announce that I have become a recipient of a grant under the Tech Orda program. Thanks to this, I will get the opportunity to study…
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Honored to receive the #RSS2024 Best Paper Award Finalist for our paper “Configuration Space Distance Fields for Manipulation Planning”! Congrats to…
Honored to receive the #RSS2024 Best Paper Award Finalist for our paper “Configuration Space Distance Fields for Manipulation Planning”! Congrats to…
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Сиди тихо и не высовывайся! Наше казахское (СНГшное тоже) общество в детства учило не высовываться. Так было безопаснее. Так было проще. Этот…
Сиди тихо и не высовывайся! Наше казахское (СНГшное тоже) общество в детства учило не высовываться. Так было безопаснее. Так было проще. Этот…
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💥BOOM 💥 Llama 3.1 is out 💥 405B, 70B, 8B versions. Main takeaways: 1. 405B performance is on par with the best closed models. 2. Open/free weights…
💥BOOM 💥 Llama 3.1 is out 💥 405B, 70B, 8B versions. Main takeaways: 1. 405B performance is on par with the best closed models. 2. Open/free weights…
Liked by Amir Yelenov
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A fun trailer I had the pleasure of directing for Ben Mauro's HUXLEY universe! And honored to have UNIT IMAGE bring it to completion. Ben Mauro UNIT…
A fun trailer I had the pleasure of directing for Ben Mauro's HUXLEY universe! And honored to have UNIT IMAGE bring it to completion. Ben Mauro UNIT…
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A new small Hapticomm is showcased at EuroHaptics2024. Tactile lab, Nazarbayev University, Kazakhstan is finally in Paris again.
A new small Hapticomm is showcased at EuroHaptics2024. Tactile lab, Nazarbayev University, Kazakhstan is finally in Paris again.
Liked by Amir Yelenov
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Reflecting on an inspiring week at Trimble Inc.'s headquarters in Colorado, we at Surfaice are filled with gratitude and excitement. Being one of…
Reflecting on an inspiring week at Trimble Inc.'s headquarters in Colorado, we at Surfaice are filled with gratitude and excitement. Being one of…
Liked by Amir Yelenov
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I am now promoted to Senior Editor of IEEE Access.
I am now promoted to Senior Editor of IEEE Access.
Liked by Amir Yelenov
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Creating an universal haptic device, which will be like a monitor for our eyes, is a rather challenging or maybe impossible mission. We tackle this…
Creating an universal haptic device, which will be like a monitor for our eyes, is a rather challenging or maybe impossible mission. We tackle this…
Liked by Amir Yelenov
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