Dr. SHEKHAR RAPARTHI | Analytical Chemistry | Best Researcher Award

Published on by Chemistry Awards

Dr. SHEKHAR RAPARTHI | Analytical Chemistry | Best Researcher Award

Dr. SHEKHAR RAPARTHI | Analytical Chemistry | SCIENTIFIC OFFICER/H at NATIONAL CENTER FOR COMPOSITIONAL CHARACTERISATION OF MATERIALS,  India

Shekhar Raparthi is a Scientific Officer / H at the National Centre for Compositional Characterisation of Materials (NCCCM), BARC, Hyderabad. With over three decades of expertise in analytical chemistry, he specializes in trace and ultra-trace characterization of metals, alloys, and high-purity materials. His pioneering work in glow discharge quadrupole mass spectrometry and electrolyte cathode discharge atomic emission spectrometry has significantly advanced compositional analysis. Holding a Ph.D. in Chemistry from JNTU, Hyderabad (2008), he has published extensively in reputed international journals and served as a peer reviewer. Currently leading the ultra-trace analysis section at NCCCM since 2023, he is an esteemed member of India Society for Mass Spectrometry (ISMAS) and Indian Society of Analytical Science (ISAS). His contributions to spectrometric techniques have practical applications in industrial and nuclear material characterization, making him a respected figure in analytical and green chemistry research.

Professional Profile :         

Scopus  

Summary of Suitability for Award:

Dr. Shekhar Raparthi is a highly accomplished researcher specializing in trace and ultra-trace characterization of materials using mass and spectrometric techniques. With over 32 publications in high-impact journals, an h-index of 14, and 631 citations, he has made significant contributions to analytical chemistry. His pioneering research includes the development of infrared spectroscopic methods, glow discharge quadrupole mass spectrometry (GD-QMS), and novel electrolyte cathode discharge atomic emission spectrometric sources. These innovations have advanced material characterization techniques, benefiting the scientific community and industries dealing with high-purity materials, metals, and alloys. Dr. Raparthi’s extensive research contributions, innovative methodologies, and commitment to advancing analytical chemistry make him an ideal candidate for the “Best Researcher Award.” His work has been recognized through numerous international publications, and his role as the head of the ultra-trace analysis section at NCCCM, BARC, further solidifies his impact in the field.

🎓Education:

Shekhar Raparthi pursued his M.Sc. in Chemistry from the University of Hyderabad in 1993, where he developed a strong foundation in analytical chemistry. Following this, he underwent a one-year orientation program at BARC in 1994, gaining specialized training in advanced compositional characterization techniques. His academic journey culminated in a Ph.D. in Chemistry from Jawaharlal Nehru Technological University (JNTU), Hyderabad, in 2008. His doctoral research focused on the development of advanced mass spectrometric methodologies for the ultra-trace analysis of metals and high-purity materials. Over the years, he has continuously expanded his expertise through research, peer-reviewed publications, and participation in international analytical chemistry conferences. His educational background has been instrumental in his ability to innovate in trace and ultra-trace analysis techniques, making significant contributions to the field of analytical chemistry.

🏢Work Experience:

Shekhar Raparthi began his professional career in 1994 as a Scientific Officer/C at NCCCM, BARC, Hyderabad, specializing in the compositional characterization of various materials. Over the past 30 years, he has developed novel analytical methodologies for metals, alloys, and high-purity materials using mass spectrometric and spectroscopic techniques. His expertise includes glow discharge quadrupole mass spectrometry and electrolyte cathode discharge atomic emission spectrometry, contributing to advancements in trace and ultra-trace analysis. His work has been widely recognized, leading to 32 publications in reputed international journals. Since 2023, he has been heading the ultra-trace analysis section at NCCCM, overseeing critical research in compositional characterization. He is also an active peer reviewer for international journals. With extensive experience in spectrometric techniques, Shekhar Raparthi plays a key role in material characterization for nuclear, industrial, and high-tech applications.

🏅Awards: 

Shekhar Raparthi has received several accolades for his significant contributions to analytical chemistry and mass spectrometry. His infrared spectroscopic method for oxygen quantification in TiCl₄ was widely appreciated in the titanium industry, earning him recognition in the field. His research on glow discharge quadrupole mass spectrometry and matrix volatilization methodologies for ultra-trace characterization of high-purity germanium has been published in top international journals, including Analytical Chemistry. His expertise in trace element analysis has made him a valuable asset to BARC and the Indian scientific community. As a distinguished member of ISMAS and ISAS, he actively contributes to the advancement of analytical sciences in India. While he has not listed specific awards, his impactful research, numerous peer-reviewed publications, and leadership in ultra-trace analysis solidify his reputation as a leading scientist in compositional characterization.

🔬Research Focus:

Shekhar Raparthi’s research revolves around trace and ultra-trace characterization of materials using advanced mass spectrometric and spectroscopic techniques. His work plays a crucial role in ensuring the purity and compositional accuracy of metals, alloys, and high-purity materials. He has pioneered glow discharge quadrupole mass spectrometry (GD-QMS) for detecting impurities at ultra-trace levels. Additionally, his development of matrix volatilization methodologies has enhanced the characterization of high-purity germanium, a material critical in semiconductor and radiation detection applications. His innovations in electrolyte cathode discharge atomic emission spectrometry (ECD-AES) have improved the sensitivity and precision of trace element analysis. His research significantly contributes to nuclear, industrial, and advanced material applications, ensuring high accuracy in material compositional studies. As the head of the ultra-trace analysis section at NCCCM, his expertise in **

Publication Top Notes:

In-situ Ti–Ir and ammonium thiocyanate modifiers for improvement of sensitivity of Sc to sub parts per billion levels and its accurate quantification in coal fly ash and red mud by GFAAS

Hydrophobicity induced graphene oxide based dispersive micro solid phase extraction of strontium from seawater and groundwater prior to GFAAS determination

Direct determination of ultra-trace sodium in reactor secondary coolant waters and other waters by electrolyte cathode discharge atomic emission spectrometry

Citation Count: 1

 

Elaheh Yaghoubi | Reaction Mechanisms | Women Researcher Award

Published on by Chemistry Awards

Dr. Elaheh Yaghoubi | Reaction Mechanisms | Women Researcher Award

Doctorate at Karabuk University, Turkey

Elaheh Yaghoubi is a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, where she has achieved a perfect GPA of 4.0. Her research centers on power system analysis, microgrids, and renewable energy, showcasing her commitment to advancing smart grid technologies. With a robust background in electrical engineering, Elaheh combines academic excellence with practical experience in quality control and web development.

Author Metrics

Google Scholar Profile

Elaheh has several publications under review, showcasing her contributions to the fields of power systems and control strategies. Her works have been recognized for their innovation, particularly in model predictive control and the application of machine learning in smart grids, highlighting her emerging impact in the research community.

  • Citations: Elaheh has accumulated a total of 77 citations, with 75 citations since 2019, indicating a strong and growing influence in her field.
  • h-index: Her h-index is 6, reflecting that she has six publications that have each been cited at least six times, showcasing her impactful contributions to research.
  • i10-index: Elaheh holds an i10-index of 4, meaning she has at least four publications with ten or more citations each, highlighting her ability to produce significant and recognized research outputs.

Education

Elaheh’s academic journey is marked by exceptional achievements: she is currently pursuing her Ph.D. at Karabuk University (2021-present) with a focus on optimal power control, following her M.Sc. from Islamic Azad University (2016-2018) and a B.Sc. from Aryan Institute of Science and Technology (2012-2014), both with a GPA of 4.0. Her strong educational foundation supports her research ambitions in advanced electrical engineering topics.

Research Focus

Her research primarily explores power system stability, microgrid management, and renewable energy integration. Elaheh is particularly interested in model predictive control (MPC) and the application of artificial intelligence techniques, such as machine learning and deep learning, to enhance the efficiency and reliability of smart grids.

Professional Journey

Elaheh’s professional experience includes roles as a Principal Researcher in the PEDAR Group and as a Senior Manager in multiple electronics companies. She has also contributed as a website designer, where she combined her engineering background with web development skills. This diverse experience reflects her capability to integrate technical expertise with managerial responsibilities.

Honors & Awards

She has received the Best Researcher Award, underscoring her dedication to excellence in her research endeavors. This recognition highlights her contributions to innovative solutions in electrical engineering, particularly in the context of microgrids and smart grids.

Publications Noted & Contributions

Elaheh has several publications in reputable journals, focusing on real-time operations in microgrids, model predictive control, and power system risk analysis. Her work aims to push the boundaries of traditional methods, integrating advanced technologies to address contemporary challenges in electrical engineering.

1. A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior

  • Authors: E. Yaghoubi, E. Yaghoubi, A. Khamees, D. Razmi, T. Lu
  • Journal: Engineering Applications of Artificial Intelligence
  • Publication Year: 2024
  • Summary: This publication presents a comprehensive review and meta-analysis of various machine learning techniques applied to predict electric vehicle (EV) charging behavior. By synthesizing existing studies, it provides insights into the effectiveness and reliability of different algorithms, serving as a valuable resource for future research in EV infrastructure and smart grid integration.

2. A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in the field of geotechnical engineering

  • Authors: E. Yaghoubi, E. Yaghoubi, A. Khamees, AH Vakili
  • Journal: Neural Computing and Applications
  • Publication Year: 2024
  • Summary: This paper explores the application of advanced computational methods in geotechnical engineering. By evaluating the performance of neural networks and other machine learning techniques, it highlights their potential to improve predictive accuracy in engineering applications, thus contributing to enhanced design and safety standards.

3. Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller

  • Authors: Z. Yusupov, E. Yaghoubi, E. Yaghoubi
  • Conference: 14th International Conference on Electrical and Electronics Engineering
  • Publication Year: 2023
  • Summary: This conference paper discusses a fuzzy neural controller designed to optimize the power output of photovoltaic systems. By effectively managing the maximum power point tracking (MPPT), this research contributes to the efficiency of solar energy systems, which is crucial for integrating renewable sources into the grid.

4. Modeling and Control of Decentralized Microgrid Based on Renewable Energy and Electric Vehicle Charging Station

  • Authors: Z. Yusupov, N. Almagrahi, E. Yaghoubi, E. Yaghoubi, A. Habbal, D. Kodirov
  • Conference: World Conference on Intelligent System for Industrial Automation
  • Publication Year: 2022
  • Summary: This paper presents a model for decentralized microgrids that incorporates renewable energy sources and EV charging stations. The research emphasizes control strategies that enhance the reliability and sustainability of microgrid operations, aligning with the growing need for green energy solutions.

5. Real-time techno-economical operation of preserving microgrids via optimal NLMPC considering uncertainties

  • Authors: E. Yaghoubi, E. Yaghoubi, Z. Yusupov, J. Rahebi
  • Journal: Engineering Science and Technology, an International Journal
  • Publication Year: 2024
  • Summary: This study focuses on a novel non-linear model predictive control (NLMPC) approach for the real-time management of microgrids. By considering uncertainties, it aims to optimize techno-economic performance, thus enhancing the operational resilience and economic viability of microgrid systems.

Research Timeline

Elaheh’s research timeline includes her current Ph.D. work from 2021 onwards, with key publications submitted and under review throughout 2024. This timeline indicates her active engagement in research and continuous contributions to the field, aiming to establish a strong foundation for future innovations.

Conclusion

Dr. Elaheh Yaghoubi’s achievements as a Ph.D. candidate at Karabuk University exemplify her dedication to advancing the field of electrical engineering, particularly in power systems and renewable energy. Her innovative research, marked by significant contributions and a strong academic background, has earned her recognition as the Best Researcher. While there are areas for improvement, such as expanding her publication reach and enhancing collaboration efforts, her trajectory suggests a promising future in research. As she continues to push the boundaries of smart grid technologies, Elaheh is poised to make lasting impacts in her field and contribute to sustainable energy solutions.