Dr.Priyanka sahu | Processing Technique | Young Scientist Award

Dr Priyanka sahu Rajiv Gandhi University of Knowledge of Technologies-RK Valley (AP-IIIT RK Valley), Idupulapaya, Andhra Pradesh India

Dr. Priyanka Sahu is an Assistant Professor in Computer Science and Engineering at RGIPT. She holds a PhD from IIT (ISM) Dhanbad, an MTech from IIT Guwahati, and a B.E. from Chhattisgarh Swami Vivekanand Technical University. Her research focuses on Distributed Systems, Blockchain, IoT, and Cloud Computing. Dr. Sahu has published 11 papers in international journals and conferences and contributed book chapters. With experience in academia at IIIT Sri City and SSEC Bhilai, she teaches subjects like Distributed Systems and Blockchain. She also holds certifications in Cloud Computing and has expertise in IoT and cloud platforms.

Publication profile

scholar

🏫 Academic Qualifications

Ph.D. in Physics & Materials Science (IIT Indore) – 2023.M.Tech in Physics & Astronomy (NIT Rourkela) – 2017.B.E. in Electronics & Telecommunication (Govt. Engineering College Bilaspur) – 2014.Diploma in Electronics & Telecommunication (Govt. Polytechnic College Ambikapur) – 2011

🎓 Research & Thesis

Ph.D.: Development & Characterization of High Entropy Soft Magnetic Alloys.M.Tech: Electrical & Magnetic Properties of Modified Strontium Hexaferrite

🛠 Technical Skills

Materials Synthesis: Ceramic materials, High Entropy Alloys (HEAs), Magnetocaloric materials.Characterization Techniques: XRD, SEM, TEM, DSC, VSM, Complex Impedance Spectroscopy.Programming & Analysis: MATLAB, COMSOL, Origin, Thermo-Calc.Software: ImageJ, Mendeley, Endnote.

📢 Conference Participation

Presented papers at several international conferences, including ICSM, ICONN, and ISPMM.Invited speaker at the International Conference on Renewable Energy and Sustainable Technology, 2024.

👩‍🏫 Experience

Assistant Professor at Rajiv Gandhi University of Knowledge Technologies (2024–Present).Teaching & Lab experience at IIT Indore and NIT Rourkela

🏆 Achievements

Best Researcher Award at Atomic, Molecular, and Optical Physics 2024.Awards for best oral presentation and poster presentations at IIT IndoreMerit scholarships and multiple academic distinctions.

Publication

Synthesis and characterization of hydrogenated novel AlCrFeMnNiW high entropy alloy
- SK Dewangan, VK Sharma, P Sahu, V Kumar
- 2020

Investigating the effect of multiple grain–grain interfaces on electric and magnetic properties of [50 wt% BaFe12O19–50 wt% Na0.5Bi0.5TiO3] composite system
- R Pattanayak, R Muduli, RK Panda, T Dash, P Sahu, S Raut, S Panigrahi
- 2016

Microstructure and magnetic behavior of FeCoNi (Mn–Si)x (x = 0.5, 0.75, 1.0) high-entropy alloys
- P Sahu, S Solanki, S Dewangan, V Kumar
- 2019

Dielectric, ferroelectric and impedance spectroscopic studies in TiO2-doped AgNbO3 ceramic
- R Muduli, R Pattanayak, S Raut, P Sahu, V Senthil, S Rath, P Kumar
- 2016

Effect of grain size on electric transport and magnetic behavior of strontium hexaferrite (SrFe12O19)
- P Sahu, SN Tripathy, R Pattanayak, R Muduli, N Mohapatra, S Panigrahi
- 2017

Microstructure, Non-isothermal Crystallization Kinetics and Magnetic Behaviour Study of [FeCoNi100-x(SiMn)x] High Entropy Amorphous Alloys Synthesized by Mechanical Alloying
- P Sahu, S Samal, V Kumar
- 2023

Investigation of the structural, electrical, and magnetic behavior of Co3+-Ti4+ doped strontium hexaferrite: validation of measured and theoretical models
- P Sahu, PK Sahu, S Panigrahi
- 2024

Phase Evolution and Soft Magnetic Behavior of Mechanically Alloyed Fe–Co–Ni Medium Entropy Alloy at Different Disk Angular Velocity
- P Sahu, S Samal, V Kumar
- 2023

An assessment of the mechanically alloyed equiatomic FeCoNiMnSi high entropy amorphous alloy for non-isothermal crystallization kinetics and magnetocaloric refrigeration
- P Sahu, S Samal, V Kumar
- 2024

conclusion

Dr. Priyanka Sahu is a strong candidate for the Young Scientist Award. Her early achievements in high entropy alloys, magnetocaloric materials, and other areas of materials science are impressive, and her recognition within the scientific community speaks to her potential. While there is room for growth in terms of expanding the real-world impact and leading independent research projects, her current trajectory suggests she is well on her way to becoming a leading figure in her field.

Ms. Sofiia Drozd| Remote Sensing | Best Researcher Award

Master’s student in the Department of Mathematical Modeling and Data Analysis at NTUU KPI, and employee at the Space Research Institute NASU-SSAU. With 4 years of experience in machine learning, remote sensing, and satellite data processing, I have contributed to projects by the World Bank, Horizon Europe, the Ministry of Education and Science of Ukraine, and the National Research Foundation of Ukraine. My expertise includes developing algorithms for environmental monitoring, land use analysis, and renewable energy assessment. I have published research in international journals and presented at various conferences.

Profile

Scopus

Orcid

Google Scholar.

Research and Innovations:

Completed/Ongoing Research Projects: 8, Citation Index: 3, Journals Published (SCI, Scopus, etc.): 5, Professional Memberships: ACM, EGU, IEEE, Areas of Research: AI and machine learning, remote sensing, satellite data processing, and GIS.

Self-Declaration:

I authenticate that to the best of my knowledge the information given in this form is correct and complete. At any time, I am found to have concealed any material information, my application shall be liable to be summarily terminated without notice. I have read the terms and conditions and other policies of the Awards and agree to them.

📝Publications Top Notes

Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic

Authors: Drozd, S., Kussul, N.

Journal: European Journal of Remote Sensing, 2024

Geospatial analysis of the potential of the territories of Ukraine for the location of solar power plants based on satellite data

Authors: Kussul, N.М., Drozd, S.Yu.

Journal: Space Science and Technology, 2024

Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning

Authors: Kussul, N., Drozd, S., Yailymova, H., Lemoine, G., Deininger, K.

Journal: International Journal of Applied Earth Observation and Geoinformation, 2023

Assessing Ukrainian Territory Suitability for Solar Power Station Placement Using Satellite Data on Climate and Topography

Authors: Kussul, N., Drozd, S.

Conference: 13th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2023

Fusion of very high and moderate spatial resolution satellite data for detection and mapping of damages in agricultural fields

Authors: Kussul, N., Drozd, S., Skakun, S., Duncan, E., Becker-Reshef, I.

Conference: 13th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2023

Generative adversarial network augmentation for solving the training data imbalance problem in crop classification

Authors: Shumilo, L., Okhrimenko, A., Kussul, N., Drozd, S., Shkalikov, O.

Journal: Remote Sensing Letters, 2023

War Damage Detection Based on Satellite Data

Authors: Shelestov, A., Drozd, S., Mikava, P., Barabash, I., Yailymova, H.

Conference: International Conference on Applied Innovation in IT, 2023

Forecast of Yield of Major Crops in Ukraine in War Conditions 2022 Based on MODIS and Sentinel-2 Satellite Data

Authors: Kussul, N., Drozd, S., Yailymova, H.

Conference: International Conference on Applied Innovation in IT, 2023

Mathematical Models and Informational Technologies of Crop Yield Forecasting in Cloud Environment

Authors: Shumilo, L., Drozd, S., Kussul, N., Shelestov, A., Sylantyev, S.

Book Series: Lecture Notes in Networks and Systems, 2023

Detection of War-Damaged Agricultural Fields of Ukraine Based on Vegetation Indices Using Sentinel-2 Data

Authors: Kussul, N., Yailymova, H., Drozd, S.

Conference: 12th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2022

Priyanka sahu | Processing Technique | Young Scientist Award