Jiang Jiangcheng | Automatic Control | Best Researcher Award

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Dr. JiangJiang Cheng | Automatic Control | Best Researcher Award  

Dr. Jiang Jiang Cheng | Institute of Mathematics and Systems Sciences, Chinese Academy of Sciences | china

Dr. Jiang Jiangcheng is a highly accomplished mathematician and system theorist pursuing his Ph.D. at the University of Chinese Academy of Sciences. With a strong foundation in mathematics and systems theory, he specializes in system stability, optimization, and multi-agent dynamics. Renowned for his academic excellence and research acumen, Dr. Jiangcheng has earned prestigious scholarships and certifications, reflecting his dedication to advancing knowledge in mathematical and computational sciences.

PROFILE

Scopus  Profile

Educational Detail

Dr. Jiang Jiangcheng holds a Bachelor’s degree in Mathematics from China Agricultural University (2016–2020), where he graduated with a stellar GPA of 3.89/4.0. His academic foundation encompasses key subjects such as Mathematical Analysis, Advanced Algebra, Partial Differential Equations, Real Analysis, and Applied Stochastic Processes. He is currently pursuing a Ph.D. in System Theory at the University of Chinese Academy of Sciences (since 2020), maintaining an excellent GPA of 3.89/4.0. His doctoral coursework includes Linear System Theory, System Stability, Multi-Agent Systems, Game Theory, and Reinforcement Learning.

 

Professional Experience

Dr. Jiangcheng has engaged in various academic and professional pursuits during his educational journey. He has demonstrated strong analytical and computational skills, excelling in system estimation, optimization methods, and applied stochastic processes. His work involves extensive research and applications of mathematical and system theories in solving real-world problems.

Research Interests

System Stability and Optimization Theory

Multi-Agent Systems and Game Theory

Reinforcement Learning and Advanced Probability Theory

Numerical and Computational Analysis

Awards and Honors

Dr. Jiangcheng has received numerous accolades, including the National Inspirational Scholarship, First Class Scholarship for Innovation and Entrepreneurship, and recognition as a Merit Student, Excellent Student Cadre, and Excellent Graduate. Additionally, he holds a National Computer Rank Examination Certificate (Excellent) and the Certificate of College English Test-6.

Skills

Proficiency in mathematical modeling and numerical methods

Expertise in advanced systems theory and optimization

Strong command of programming tools for computational analysis

Fluent in English with certification at an advanced level

Top Notable Publications

Cheng, J., Chen, G., Mei, W., Bullo, F. (2025). Multidimensional opinion dynamics with heterogeneous bounded confidences and random interactions. Automatica, 172, 112002.

Cheng, J., Mei, W., Su, W., Chen, G. (Year not provided). Evolutionary games on networks: Phase transition, quasi-equilibrium, and mathematical principles. Journal/Publication not specified. (Further details like year and publication required for a complete citation).

Conclusion 

Dr. Jiang Jiangcheng is a highly deserving candidate for the Best Researcher Award. His exemplary academic performance, strong research foundation, and notable awards underscore his potential to drive innovation in mathematics and system science. He embodies the qualities of a researcher who can contribute profoundly to academia and industry.

 

 

 

 

 

 

 

 

 

Duo Xu | Interstellar Medium | Best Researcher Award

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Dr. Duo Xu | Interstellar Medium | Best Researcher Award

Dr. Duo Xu, CITA, University of Toronto, Canada

Dr. duo xu is a schmidt ai in science and cita postdoctoral fellow at the University of Toronto. With a PhD from UT Austin and extensive research experience at leading institutions like the University of Virginia, Dr. xu specializes in star formation, molecular clouds, and computational astrophysics. His innovative work bridges traditional astrophysics and modern machine learning techniques, contributing to advancements in synthetic observations and magnetohydrodynamic simulations. He is a recipient of multiple prestigious awards, including the Eric and Wendy Schmidt AI Fellowship.

PROFILE

Orcid Profile

Educational Details

PhD in Astronomy – University of Texas at Austin, 2021
Advisor: Prof. Stella Offner

M.A. in Astrophysics – National Astronomical Observatories, Chinese Academy of Sciences, 2016
Advisor: Prof. Di Li

B.S. in Astronomy – Nanjing University, 2014

Professional Experience

CITA, University of Toronto (2024–present)
schmidt ai in science postdoctoral fellow & cita postdoctoral fellow

University of Virginia (2021–2024)
Origins postdoctoral fellow, specializing in star formation, stellar feedback, and machine learning applications in astrophysics

Research Interests

Star Formation & Stellar Feedback: Investigating processes driving star formation and their impact on galactic environments.

Molecular Clouds & Turbulence: Exploring dynamics, magnetic fields, and turbulence in interstellar medium structures.

Magnetohydrodynamic Simulations: Applying computational techniques to simulate astrophysical phenomena.

Machine Learning Applications: Leveraging AI for advanced data analysis in radioastronomy and astrophysical research.

Teaching Experience

University of Texas at Austin

Teaching Assistant for Stellar Astronomy (2019–2020)

Earned Advanced Teaching Preparation Certificate (2019)

UMass Amherst

Leading Astronomy Labs, Teaching Assistant for Astronomy 100 (2016–2017)

Awards & Honors

The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship – Canada, 2024

Humboldt Research Fellowship – Germany (declined), 2024

Rodger Doxsey Travel Prize – American Astronomical Society, 2022

David Alan Benfield Memorial Scholarship in Astronomy – UT Austin, 2021

Numerous academic scholarships, including the OGS Summer Graduate Fellowship and Frank N. Edmonds Jr. Memorial Fellowship.

Top Notable Publications

Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models
Duo Xu et al., 2024
Working Paper | arXiv e-prints
DOI: 10.48550/arXiv.2410.07032
BIBCODE: 2024arXiv241007032X

Surveying Image Segmentation Approaches in Astronomy
Duo Xu et al., 2024
Journal Article | Astronomy and Computing
DOI: 10.1016/j.ascom.2024.100838

Polarized Light from Massive Protoclusters (POLIMAP). I. Dissecting the Role of Magnetic Fields in the Massive Infrared Dark Cloud G28.37+0.07
Duo Xu et al., 2024
Journal Article | The Astrophysical Journal
DOI: 10.3847/1538-4357/ad39e0
Published: 2024-06-01

Disk Wind Feedback from High-Mass Protostars. III. Synthetic CO Line Emission
Duo Xu et al., 2024
Journal Article | The Astrophysical Journal
DOI: 10.3847/1538-4357/ad3211
BIBCODE: 2024ApJ…966..117X
Preprint: arXiv:2309.03868

Polarized Light from Massive Protoclusters (POLIMAP). I. Dissecting the Role of Magnetic Fields in the Massive Infrared Dark Cloud G28.37+0.07
Duo Xu et al., 2024
Working Paper | arXiv e-prints
DOI: 10.48550/arXiv.2401.11560
BIBCODE: 2024arXiv240111560L

CMR Exploration. II. Filament Identification with Machine Learning
Duo Xu et al., 2023
Journal Article | The Astrophysical Journal
DOI: 10.3847/1538-4357/acefce
BIBCODE: 2023ApJ…955..113X
Preprint: arXiv:2308.06641

Predicting the Radiation Field of Molecular Clouds Using Denoising Diffusion Probabilistic Models
Duo Xu et al., 2023
Working Paper | arXiv e-prints
DOI: 10.48550/arXiv.2309.05811
BIBCODE: 2023arXiv230905811X

Conclusion

Dr. Duo Xu demonstrates exceptional academic achievement, a broad impact in astrophysics, and a commitment to advancing knowledge through innovative methods like machine learning. His extensive list of awards, publications, and professional appointments, combined with his active engagement in the academic community, make him a highly suitable candidate for the Best Researcher Award.

 

 

 

 

 

 

 

 

Soumita Bid | Dispersion of Radionuclides | Best Researcher Award

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Dr. Soumita Bid | Dispersion of Radionuclides | Best Researcher Award

Dr. soumita bid, C.K.Pithawala College of Engineering & Technology, India

Dr. Soumita Bid is an accomplished academic and researcher with expertise in Environmental Engineering and Water Resource Management. She has over 12 years of teaching experience and a robust research portfolio, focusing on computational and sustainable methodologies in engineering. A recipient of the Elite Plus Silver Medal in NPTEL’s Stress Management course, Dr. Bid is also an active member of the Society of Indoor Environment. She continues to mentor undergraduate projects and advance innovative solutions in environmental and hydraulic systems.

PROFILE

Scopus Profile

Educational Details

Dr. Soumita Bid holds a Ph.D. in Civil Engineering from S.V. National Institute of Technology, Surat, specializing in Environmental Engineering. She earned her Master of Technology in Civil Engineering with a focus on Environmental Engineering from the same institution in August 2006. Dr. Bid completed her Bachelor of Engineering (Civil) with Distinction (67.7%) from M.S. University, Baroda, Gujarat, in 2001. Additionally, she holds a Diploma in Software Technology from CMC Limited, achieved in 2002 with an A grade.

Professional Experience

Dr. Bid began her career in the industry, working as an Engineer (Projects) at Anwesha Comtech Engg. Pvt. Ltd. from September 2002 to March 2004, gaining hands-on experience in project management and environmental systems. She transitioned to academia in 2007, serving as an Adhoc Lecturer at STBS Surat before joining C.K. Pithawala College of Engineering & Technology (C.K.P.C.E.T.), Surat, where she has been a faculty member since December 2008. Currently, she serves as an Assistant Professor, contributing to teaching, research, and curriculum development.

Research Interests

Dr. Bid’s research spans Environmental Engineering, Water Resources Engineering, and Fluid Mechanics. She focuses on computational fluid dynamics, soft computing techniques, sustainable development, water and wastewater management, and nutrient extraction methodologies. She is particularly interested in applying advanced computational methods like fuzzy computing to environmental hydraulics and infrastructure projects.

Teaching Experience

With over 12 years of teaching experience, Dr. Bid has developed and delivered courses in environmental engineering, fluid mechanics, and sustainable infrastructure. She has also supervised numerous undergraduate projects focusing on innovative solutions to real-world engineering challenges.

List of B.E. Projects Supervised

Application of Pervious Concrete in Water Filter and Pavement Design (2020-2021)

Replacement of Fine Aggregate with Steel Slag in Concrete (2019-2020)

Automatic Rising Bollard (2019-2020) – Funded by SSIP Grant, Gujarat Technological University

Wastewater Treatment Using Fenton Process (2018-2019)

Vishwakarma Yojna: Rurbanization Projects (Phases III-VI, 2015-2019)

Membrane Technology (2016-2017)

Design of Water Distribution Network for Surat City (2017-2018)

River Ranking Using Fuzzy Methodology (2013-2014)

Wastewater Treatment Using Photo-Fenton Method (2012-2013)

Design of Flexible Pavement Using Lime Fly Ash Stabilized Soil (2011-2012)

Top Notable Publications

1. An Experimental Study for Effectiveness of Steel Fibre Reinforced Exterior Beam-Column Joints Under Cyclic Resistance

Authors: Patel, P.; Desai, A.; Bid, S.; Desai, P.

Year: 2024

Journal: Construction and Building Materials

Volume: 411

Article Number: 134511

Citations: 0 (as of now)

2. An Approach to Model Radionuclide Concentration in Lake Environment Under Scarce Data

Authors: Bid, S.D.; Christian, R.A.; Patel, P.L.; Patra, A.K.

Year: 2022

Journal: ISH Journal of Hydraulic Engineering

Volume: 28, Supplement 1

Pages: 341–355

Citations: 0 (as of now)

3. Hydrodynamic Modeling of Radionuclide Effluent in Moticher Lake, Kakrapar Atomic Power Station, India

Authors: Bid, S.D.; Patel, P.L.; Christian, R.A.; Patra, A.K.

Year: 2020

Journal: Journal of Hazardous, Toxic, and Radioactive Waste

Volume: 24, Issue 1

Article Number: 4019033

Citations: 1 (as of now)

4. Infection Potential Ranking of Hospitals Based on Generation of Biomedical Waste: A Fuzzy Approach

Authors: Bid, S.D.; Mistry, N.J.

Year: 2013

Journal: Journal of Intelligent and Fuzzy Systems

Volume: 24, Issue 3

Pages: 657–663

Citations: 0 (as of now)

Conclusion

Dr. Soumita Bid’s interdisciplinary research, teaching experience, and industry involvement position her as a highly suitable candidate for the Best Researcher Award. Her diverse and impactful contributions to environmental engineering, water resources management, and sustainable development are commendable. Furthermore, her research in emerging areas like computational fluid dynamics and fuzzy computing shows her potential to push boundaries and create innovative solutions in her field. Dr. Bid’s consistent academic and research excellence, coupled with her involvement in real-world projects, makes her a strong contender for this prestigious award.

 

 

 

 

 

 

 

Mariusz Korkosz | Electric Machines | Best Researcher Award

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Assoc. Prof. Dr. Mariusz Korkosz | Electric Machines | Best Researcher Award

Assoc. Prof. Dr. Mariusz Korkosz, Rzeszow University of Technology, Poland

Assoc. Prof. Dr. Mariusz Korkosz is a distinguished researcher and academician specializing in electrical machines and power systems. With over three decades at Rzeszow University of Technology, he has held leadership roles including Head of the Department of Electrodynamics and Electrical Machine Systems and Dean of the Faculty of Electrical and Computer Engineering. His innovative contributions to electromobility, hybrid systems, and electrical machine diagnostics have cemented his reputation as a leader in the field.

PROFILE

Scopus Profile

Educational Details

Ph.D. in Electrical Engineering (2003)
Faculty of Electrical Engineering, Silesian University of Technology.

D.Sc. in Electrical and Computer Engineering (2014)
Faculty of Electrical and Computer Engineering, Rzeszow University of Technology.

Master’s Degree in Electrical Engineering (1993)
Faculty of Electrical Engineering, Rzeszow University of Technology.

Professional Experience

Rzeszow University of Technology (1993 – Present):
Served in various capacities including assistant, assistant professor, and associate professor. Currently the Head of the Department of Electrodynamics and Electrical Machine Systems (2017 – Present).

Dean, Faculty of Electrical and Computer Engineering (2019 – 2020).

YASA Motors Poland Sp. z o.o. (2017 – 2018):
Consultant specializing in electrical machines.

Skills

Proficient in CAD software: AutoCAD, Inventor.

Expertise in specialist simulation and modeling tools: Matlab, Ansys (Electronics and Multiphysics), Motor-CAD, Flux, 3DS Max.

Research Interests

Dr. Korkosz’s research focuses on the design, modeling, analysis, control, and laboratory testing of electrical machines and power systems. His expertise includes switched reluctance and brushless permanent magnet machines for applications in automotive, domestic devices, hybrid and electric drives, and aircraft hybrid systems.
His additional interests encompass fault-tolerant, multi-winding, and multi-channel drives and their diagnostics, as well as fuel cell integration, electromobility, power engineering, electronics, and automation.

Top Notable Publications

Korkosz, M., Prokop, J., Bogusz, P.
The Effect of the Number of Parallel Winding Paths on the Fault Tolerance of a Switched Reluctance Motor.
Energies, 2024, 17(22), 5701.

Siwiec-Kozlik, A., Kozlik-Siwiec, P., Spalkowska, M., Korkosz, M., Kosalka-Wegiel, J.
Monoclonal gammopathy in systemic lupus erythematosus is associated with distinctive clinical course, malignancy, and mortality rate: A single-centre retrospective cohort study.
Lupus Science and Medicine, 2024, 11(2), e001248.

Kutsyk, A., Korkosz, M., Bogusz, P., Semeniuk, M., Lozynskyy, A.
An Analysis of Asymmetrical and Open-Phase Modes in a Symmetrical Two-Channel Induction Machine with Consideration of Spatial Harmonics.
Energies, 2024, 17(4), 870.

Korkosz, M., Sztajmec, E., Prokop, J.
Electromagnetic Performance Analysis of a Multichannel Permanent Magnet Synchronous Generator.
Energies, 2023, 16(23), 7816.

Korkosz, M., Noga, S., Rogalski, T.
Analysis of the mechanical limitations of the selected high-speed electric motor.
Aircraft Engineering and Aerospace Technology, 2023, 95(9), pp. 1423–1434.

Kutsyk, A., Korkosz, M., Semeniuk, M., Nowak, M.
An Influence of Spatial Harmonics on an Electromagnetic Torque of a Symmetrical Six-Phase Induction Machine.
Energies, 2023, 16(9), 3813. (Cited 3 times).

Korkosz, M., Krzywdzińska-Kornak, K.
Application of a voltage signal in fault detection of a brushless permanent motor.
Przeglad Elektrotechniczny, 2023, 2023(6), pp. 102–106.

Conclusion

Assoc. Prof. Dr. mariusz korkosz is a highly deserving candidate for the Best Researcher Award. His contributions to the field of electrical engineering, particularly in fault-tolerant systems and hybrid drive technologies, are significant and impactful. His combination of academic rigor, industrial experience, and leadership in research projects demonstrates his excellence and suitability for this honor.

 

 

 

 

 

 

Rayhan Hossain | Material Chemistry | Best Researcher Award

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Dr. Rayhan Hossain | Material chemistry | Best Researcher Award 

Dr. Rayhan Hossain, University of Michigan, United States

Dr. Rayhan Hossain is a Visiting Assistant Professor at the University of Michigan, Department of Chemistry. With extensive teaching and research experience across several institutions, his work focuses on materials chemistry, nanotechnology, and sustainable solutions for energy and environmental challenges. Dr. Hossain is a skilled educator and researcher, known for his contributions to the synthesis and characterization of semiconductor materials, photocatalytic water splitting, and wastewater treatment. He has received numerous awards for academic excellence and research contributions.

PROFILE

Orcid Profile

Google Scholar Profile 

Educational Details

Ph.D. in Materials Chemistry – The University of South Dakota (2017–2019)
Dissertation: “Synthesis and Characterization of Metal-Doped and Metal-Attached TiO2 Nanocrystals for Photocatalytic Water Splitting”

Master’s Degree in Chemistry – Bangladesh University of Engineering and Technology (2013–2015)
Focus: Development of hybrid nanomaterials for sensor applications

Bachelor’s Degree in Chemistry – University of Dhaka, Bangladesh (2008–2012)

Professional Experience

Visiting Assistant Professor – University of Michigan, Department of Chemistry (2024–Present)
Responsible for teaching undergraduate courses in general, physical, and analytical chemistry and mentoring students in advanced chemistry research.

Graduate Teaching Assistant and Adjunct Faculty – Oklahoma State University, Department of Chemistry (2020–2023)
Taught a wide range of chemistry laboratory courses, guiding undergraduate students through theoretical workflows and experiments.

Graduate Research and Teaching Assistant – The University of South Dakota, Department of Materials Chemistry (2017–2019)
Conducted research on semiconductor nanomaterials and taught general chemistry lab courses.

Lecturer – North South University, Chemical Engineering Department (2015–2016)
Taught undergraduate courses in chemistry and mentored students in understanding core concepts of chemical engineering.

Academic Appointments

Visiting Assistant Professor – University of Michigan (2024–Present)

Lecturer – North South University (2015–2016)

Teaching Experience

University of Michigan (2024–Present)

Courses taught: CHEM 136 (General Chemistry II), CHEM 368 (Physical Chemistry I), CHEM 469 (Physical Chemistry II), CHEM 344 (Quantitative Analysis), CHEM 493 (Chemistry Seminar).

Responsibilities included proctoring exams, grading, and laboratory instruction.

Oklahoma State University (2020–2023)

Courses taught: General Chemistry and Physical Chemistry laboratories.

Guided theoretical and practical sessions for undergraduate students.

The University of South Dakota (2017–2019)

Conducted laboratory experiments for General Chemistry I & II, organized pre-lab tutorials, and evaluated student performance.

North South University (2015–2016)

Lectured in core chemistry subjects, focusing on foundational and applied chemistry for engineering students.

Research and Teaching Experience

Peroxide Vapor Detection: Developed advanced sensor materials for detecting inorganic peroxide vapor through colorimetric complexation.

Tunable Doping of Chromium in TiO2 Nanocrystals: Synthesized and characterized chromium-doped TiO2 for solar energy applications and water splitting.

Industrial Wastewater Treatment: Investigated adsorption of dye from wastewater using treated jute stick powder, analyzing kinetics and optimization parameters.

Materials Design for ORR and HER Experiments: Designed non-precious electrocatalysts for energy conversion applications, utilizing computational simulations and vibrational spectroscopy.

Awards and Recognition

2022 Graduate Research Fellowship – Oklahoma State University

2021 Economic Stimulus Grant Award – Oklahoma State University

2021 Skinner Chemistry Fellowship – Oklahoma State University Foundation

2020 Johnston Chemistry Fellowship – Oklahoma State University Foundation

2015 National Science and Technology Fellowship – Ministry of Education, Bangladesh

Skills

Instrumental Analysis: SEM, TEM, EDS, UV-Vis, NMR, PL, GC, MS, FT-IR, TERS

Data Analysis: Sigma Plot, Origin Plot, ChemDraw, Ocean View

Programming: Shell scripting (Linux, Unix)

Additional Skills: Microsoft Office, advanced use of iClicker, Canvas, and Banner

Professional Memberships

Member, American Chemical Society (ACS)

Member, The Electrochemical Society (ECS)

Relevant Projects

Developed hybrid TiO2 nanomaterials for energy harvesting and photocatalysis.

Created sensor materials for inorganic peroxide detection.

Designed and tested adsorbents for wastewater treatment.

Modeled electrocatalysts for energy conversion processes.

Research Interests

Materials Chemistry

Nanotechnology and Semiconductor Materials

Photocatalytic Water Splitting and Renewable Energy

Wastewater Treatment and Environmental Chemistry

Top Notable Publications

Mechanistic Understanding in Manipulating Energetics of TiO2 for Photocatalysis

Authors: R. Hossain, M.A. Uddin, M.A. Khan

Year: 2023

Journal: The Journal of Physical Chemistry C

Volume/Issue: 127 (23)

Pages: 10897-10912

Citations: 18

Detection of Hydrogen Peroxide in Liquid and Vapors Using Titanium (IV)-Based Test Strips and Low-Cost Hardware

Authors: R. Hossain, J.J. Dickinson, A. Apblett, N.F. Materer

Year: 2022

Journal: Sensors

Volume/Issue: 22 (17)

Pages: 6635

Citations: 8

Recent Progress in Development of Cost-Effective and Highly Efficient Pt Group Metal-Free ORR and HER Electrocatalysts for Next Generation Energy Devices

Authors: S. Sultana, R. Hossain, K. Ahmed, P.K. Jiwanti, B.Y. Wardhana

Year: 2023

Journal: Journal of the Electrochemical Society

Citations: 5

Removal of Levafix Red from Aqueous Solution with Treated Jute Stick and its Relevance to Pharmaceutical Field

Authors: R. Hossain, M.A. Rahman, N.J. Ara, A.M.S. Alam

Year: 2016

Journal: Bangladesh Pharmaceutical Journal

Volume/Issue: 19 (1)

Pages: 75-84

Citations: 3

Colorimetric Detection of Peroxide Vapors

Author: R. Hossain

Year: 2023

Institution: Oklahoma State University

Citations: 1

Tunable Doping of Chromium in TiO2 Nanocrystals Via Ion Diffusion

Author: R. Hossain

Year: 2019

Publisher: ProQuest

Citations: 1

Detection of Hydrogen Peroxide Vapors Using Acidified Titanium (IV)-Based Test Strips

Authors: R. Hossain, N.F. Materer

Year: 2024

Journal: Materials

Volume/Issue: 17 (23)

Titania-Ionic Liquid Thin Film: A Colorimetric Sensing for the Detection of Hydrogen Peroxide Vapor

Authors: N.F.M., R. Hossain, A.W. Apblett

Year: 2021

Event: American Chemical Society Midwest Regional Meeting

Tunable Doping of Chromium (Cr³⁺) in TiO2 Nanocrystals via Ion Diffusion

Authors: R. Hossain, J. Hoefelmeyer

Year: 2019

Event: Abstracts of Papers of the American Chemical Society

Volume: 257

 

Conclusion

Dr. Rayhan Hossain’s extensive academic and research background, coupled with his proven teaching excellence, positions him as a strong candidate for the Best Researcher Award. His innovative contributions to nanotechnology and environmental chemistry exemplify his dedication to advancing scientific understanding and addressing global challenges.

 

 

 

 

 

 

Darya Alontseva | Robotics | Best Researcher Award

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Prof. Darya Alontseva | Robotics | Best Researcher Award

Prof. Darya Alontseva, D. Serikbayev East Kazakhstan Technical University, Kazakhstan

Prof. darya alontseva is a tenured professor at the School of Digital Technologies and Artificial Intelligence at D. Serikbayev East Kazakhstan Technical University (ektu), Kazakhstan. A distinguished physicist and material scientist, she holds a Doctor of Sciences in Physics and Mathematics, awarded in 2013, and specializes in plasma surface interaction, material science, and advanced materials. With over three decades of teaching, research, and leadership experience, Prof. alontseva is an accomplished academic with expertise in material characterization, electron microscopy, and computer simulation. She actively collaborates on international research projects, advancing knowledge in nanotechnology and resource-efficient energy applications.

PROFILE

Orcid Profile

Google Scholar Profile

Educational Details

Doctor of Sciences in Physics and Mathematics (2013)
Altai State Technical University, Russia

Thesis: “Structural phase state and properties of Ni-Cr, Co-Cr, Fe-Ni-Cr based alloys as a result of concentrated energy fluxes impact.”

Ph.D. in Physics and Mathematics (2002)
S. Amanzholov East Kazakhstan State University (Ektu), Kazakhstan

Thesis: “Cellular precipitation of phases in strongly-deformed austenite aging alloys.”

Master of Science in Physics (1997)
East Kazakhstan State University, Kazakhstan

Diploma with Distinction

Bachelor of Physics and Mathematics (1989)
Ust-Kamenogorsk Pedagogical Institute, Kazakhstan

Diploma with Distinction

Professional Experience

Academic Employment

Professor, School of Digital Technologies and Artificial Intelligence, D. Serikbayev ektu (2020–Present)

Professor, Department of Instrument Engineering and Process Automation, ektu (2013–2020)

Associate Professor, Department of Instrument Engineering and Process Automation, ektu (2008–2013)

Senior Teacher, Department of Experimental Physics and Instrument Engineering, ektu (2000–2008)

Teacher, Physics and Mathematics Lyceum, Ust-Kamenogorsk, Kazakhstan (1993–2000)

Teacher, High School No. 17, Ust-Kamenogorsk, Kazakhstan (1989–1993)

International Academic Experience

Visiting Researcher, Brandenburg University of Technology (BTU), Germany (2023)
Collaboration on pulse-plasma treatment for gas-thermal coatings.

Invited Lecturer, Óbuda University, Hungary (2019)
Lectures on “Innovation Worldwide” under Erasmus+ Mobility Programme.

DAAD Summer School Lecturer, Kazakhstan (2017)
Lectures on energy-efficient methods for surface treatment and materials analysis.

Research Interests

Plasma Surface Interaction

Physics of Condensed State

Advanced Materials and Nanotechnology

Automation and Control Systems

Material Science and Resource-efficient Engineering

Research Expertise

Material Characterization

Mechanical Properties Analysis

Electron Microscopy & X-ray Diffraction

Computer Simulation of Material Behavior

Teaching Activities

Over the past three years, my teaching activities have centered on doctoral-level disciplines, including lectures and practical classes in “Research Methods” (in English), supervising doctoral theses, research work, and professional practice. I have also supervised master’s theses and delivered undergraduate lectures on “Research Organization and Planning” (in English). Additionally, I developed and implemented a MOOC on the OpenEdX platform titled IT_IS: ROP_01 Research Organization and Planning for undergraduates, enhancing accessibility to quality education. Under my supervision, six doctoral students have successfully defended their theses, earning Ph.D. degrees in “Applied Physics” (4) and “Automation and Control” (2). Currently, I am supervising five doctoral students in “Automation and Control” and serving as a scientific advisor to two postdoctoral researchers funded by the Republic of Kazakhstan: Bagdat Azamatov (Grant AP13268737) for developing additive manufacturing technologies for biocompatible implants, and Alyona Russakova (Grant AP09561959) for studying alloy substructure parameters under external influences.

Top Notable Publications

Development of technology of microplasma spraying for the application of biocompatible coatings in the manufacture of medical implants

Authors: D. Alontseva, Y. Borisov, S. Voinarovych, O. Kyslytsia, T. Kolesnikova, et al.

Journal: Przeglad Elektrotechniczny, 94 (7), 94–97

Year: 2018

Citations: 11

Modification of Ni-based plasma detonation coatings by a low-energy DC E-Beam

Authors: D. Alontseva, A. Krasavin, A. Pogrebnjak, A. Russakova

Journal: Acta Physica Polonica A, 123 (5), 867–870

Year: 2013

Citations: 11

Pitting corrosion behaviour of austenitic stainless-steel coated on Ti6Al4V alloy in chloride solutions

Authors: R. Yamanoglu, E. Fazakas, F. Ahnia, D. Alontseva, F. Khoshnaw

Journal: Advances in Materials Science, 21 (2), 5–15

Year: 2021

Citations: 10

Plasma-assisted automated precision deposition of powder coating multifunctional systems

Authors: D. Alontseva, A. Krasavin, N. Prokhorenkova, T. Kolesnikova

Journal: Acta Physica Polonica A, 132 (2), 233–235

Year: 2017

Citations: 10

Effect of irradiation with DC plasma jet on the structure phase compositions and properties of powder Ni and Co–based coatings

Authors: D. Alontseva, A. Krasavin, A. Russakova, T. Kolesnikova, G. Bektasova

Journal: Materials Science, 22 (2), 238–242

Year: 2016

Citations: 10

Formation of micro-and nanostructured phases in coatings on base Ni-Cr and Co-Cr, their structure and properties

Authors: D.L. Alontseva, S.N. Bratushko, V.N. Rogoz, N.V. Prokhorenkova, A.V. Pshik

Year: 2011

Citations: 10

Development of 3D scanning system for robotic plasma processing of medical products with complex geometries

Authors: D.L. Alontseva, E. Ghassemieh, A.L. Krasavin, A.T. Kadyroldina

Journal: Journal of Electronic Science and Technology, 18 (3), 100057

Year: 2020

Citations: 9

Automation of industrial sites with mechatronic systems

Authors: D.L. Alontseva, A.L. Krasavin, A.V. Russakova, A.T. Kadyroldina

Journal: International Journal of Electrical and Electronic Engineering

Year: 2018

Citations: 9

Conclusion

Prof. Darya Alontseva’s remarkable educational background, extensive research experience, and international collaborations establish her as an outstanding candidate for the Research for Best Researcher Award. Her work in plasma surface interactions, material characterization, and nanotechnology has significantly contributed to the advancement of material science and applied physics, aligning seamlessly with the award’s criteria.