Sarika Jain | Analytical Chemistry | Women Researcher Award -1759

Dr. Sarika Jain | Analytical Chemistry | Women Researcher Award

Amity University Haryana, India

👨‍🎓Profiles

🎓 Early Academic Pursuits

Sarika Jain’s academic journey is marked by excellence and dedication to the field of mathematics. She completed her Bachelor’s degree in Mathematics (Hons.) from Delhi University in 2005, achieving an outstanding 89% score, which laid the foundation for her higher studies. Her passion for mathematics led her to IIT Delhi, where she pursued a Master’s degree in Mathematics and secured a CGPA of 7.13 in 2007. Determined to contribute to research, she enrolled in a Ph.D. program at IIT Delhi, where she worked on Numerical Modeling of the Impact of Urbanization in the DMIC Region on Surface Air Temperature. She successfully completed her coursework with an impressive CGPA of 9.2, showcasing her strong analytical and research capabilities.

🏢 Professional Endeavors

With 15 years of experience, Sarika Jain has made significant contributions to both academia and industry. Her career spans 13 years in teaching and 2 years in the industry, where she has been involved in research, education, and data analysis. She currently holds the position of Associate Professor at Amity University, Gurugram, a role she has been serving in since June 2023, where she is actively engaged in teaching and research. Previously, she was an Assistant Professor at the same institution from 2012 to 2023, playing a crucial role in academic development and research guidance.

Her teaching career also includes a stint as a Senior Lecturer at IMC, New Delhi (2011-2012) and a Lecturer at WIT, Gurgaon (2009-2010), where she nurtured students in mathematics and computational sciences. Apart from academia, she has industrial experience as an Analyst at MG Mobile Trading Pvt. Ltd., New Delhi (2007-2009), specializing in data analysis and mathematical modeling. She also worked as a Subject Matter Expert at Prometric Testing Pvt. Ltd., Gurgaon (2011), contributing to technical services and assessments.

📚 Research Focus and Contributions

Sarika Jain’s research interests span multiple domains, including Weather Research Forecasting (WRF) Modeling, Statistical Data Analysis, Optimization, Nature-Inspired Algorithms, Machine Learning, Artificial Intelligence, and Soft Computing. Her Ph.D. research focused on analyzing the impact of urbanization on surface air temperature, using numerical modeling techniques to understand environmental changes in urban regions. Given the increasing concerns about climate change and urban expansion, her research provides valuable insights for sustainable urban development.

Her work in nature-inspired optimization algorithms has further applications in solving large-scale computational problems. By integrating mathematical modeling, AI, and statistical analysis, she has contributed to advancements in climate forecasting, machine learning applications, and optimization techniques.

🌍 Impact and Influence

Sarika Jain’s research has been recognized in high-impact journals and international conferences, reinforcing her influence in computational mathematics and artificial intelligence. Her contributions are documented under her Scopus ID (57220831968) and ORCID ID (0000-0002-4795-9556), which highlight the significance of her work.

Her research in climate modeling and AI-driven predictive analysis has practical applications in urban development, environmental sustainability, and smart city planning. Through her work, she has helped develop advanced forecasting models that aid policymakers and industries in making informed decisions regarding climate adaptation and risk assessment.

📊 Academic Citations and Recognitions

Sarika Jain’s research contributions have been widely cited in academic publications and industry reports. Her work in climate forecasting, statistical modeling, and artificial intelligence applications has served as a foundation for future research in these domains. The growing citations of her publications reflect the relevance and impact of her research in the broader scientific community.

🖥️ Technical Skills

Sarika Jain possesses strong technical expertise in applied mathematics and computational techniques. She has advanced proficiency in Weather Research Forecasting (WRF) Modeling, which is crucial for climate simulations and predictive analytics. Her expertise extends to statistical data analysis, artificial intelligence, machine learning, soft computing, and nature-inspired algorithms, enabling her to create efficient mathematical models for solving complex problems. Her ability to integrate computational intelligence with real-world applications has made her research highly impactful.

🎓 Teaching Experience

As an educator, Sarika Jain has dedicated 13 years to mentoring students in mathematics and computational sciences. Her research-driven approach to teaching helps bridge the gap between theory and practical applications. She specializes in applied mathematics, statistical computing, and algorithmic modeling, ensuring that students gain the necessary skills to analyze and solve real-world challenges.

She fosters critical thinking and problem-solving abilities among students, encouraging them to pursue research-based learning. Many of her students have gone on to excel in academia, research, and the tech industry, thanks to her mentorship. Her ability to simplify complex mathematical concepts makes her a respected professor, admired for her teaching methodology and academic leadership.

🔮 Legacy and Future Contributions

Sarika Jain’s contributions to academia, research, and industry continue to grow as she explores new advancements in computational mathematics and artificial intelligence. Moving forward, she aims to:

  • Advance her research in climate forecasting using AI and deep learning.
  • Develop innovative nature-inspired algorithms for large-scale optimization problems.
  • Mentor young researchers and students to contribute to cutting-edge scientific advancements.
  • Establish global collaborations for interdisciplinary research in mathematical modeling.

📖Notable Publications

Divided opposition strategy in particle swarm framework for constrained optimization problem

Authors: Sarika Jain, Rekha Rani, Pradeep Jangir, Seyed Jalaleddin Mousavirad, Ali Wagdy Mohamed

Journal: Results in Control and Optimization

Year: 2025-03

A hybrid Mountain Gazelle particle swarm-based algorithm for constrained optimization problems

Authors: Rekha Rani, Vanita Garg, Sarika Jain, Harish Garg

Journal: Evolving Systems

Year: 2025-02

A review of nature-inspired algorithms on single-objective optimization problems from 2019 to 2023

Authors: Rekha Rani, Sarika Jain, Harish Garg

Journal: Artificial Intelligence Review

Year: 2024-04-24

Diagnostic Efficacy of LAMP Assay for Human Fungal Pathogens: a Systematic Review and Meta-analysis

Authors: Gurvinder Singh Bumbrah, Sarika Jain, Shweta Singh, Zeeshan Fatima, Saif Hameed

Journal: Current Fungal Infection Reports

Year: 2023-09

Efficacy of LAMP assay for Mycobacterial spp. detection to prevent treatment delays and onset of drug resistance: a systematic review and meta-analysis

Authors: Gurvinder Singh Bumbrah, Sarika Jain, Zeeshan Fatima, Saif Hameed

Journal: Drug Target Insights

Year: 2023-06-07

Prediction of temperature for various pressure levels using ANN and multiple linear regression techniques: A case study

Authors: Sarika Jain, Sarita Rathee, Ajay Kumar, Anivel Sambasivam, Rahul Boadh, Tushar Choudhary, Parveen Kumar, Pravin Kumar Singh

Journal: Materials Today: Proceedings

Year: 2022

 

Martín Fernández Baldo | Bioanalítica | Best Researcher Award

Dr. Martín Fernández Baldo | Bioanalítica | Best Researcher Award 

Universidad Nacional de San Luis, Argentina

👨‍🎓 Profile

🎓 Early Academic Pursuits

He pursued a solid academic journey, beginning with his primary education at Justo José de Urquiza in Maipú, Mendoza, where he graduated in December 1989. He later attended Liceo Militar General Espejo for his secondary education, graduating as a Bachiller and Subteniente de Reserva del Arma de Infantería in December 1994.

🏛 Higher Education

Fernández Baldo pursued his Bachelor's degree in Biochemistry from the Universidad Nacional de San Luis, completing his studies in 2007. He later obtained his Doctorate in Biochemistry, with his thesis titled "Control Biológico en Postcosecha: Desarrollo de Metodologías para la Detección y Cuantificación de Mohos Fitopatógenos y Micotoxinas". His thesis work was guided by Dr. María Isabel Sanz Ferramola (Director) and Dr. Germán Messina (Co-Director).

💼 Professional Endeavors

Currently, Martín Fernández Baldo is based in San Luis, Argentina, where he works at the Universidad Nacional de San Luis. He holds positions in both the Facultad de Química, Bioquímica y Farmacia in the Department of Chemistry and the Department of Bioquímica y Ciencias Biológicas. He is associated with CONICET and works in the Instituto de Química de San Luis (INQUISAL), contributing to the Laboratorio de Bioanalítica.

🔬 Contributions and Research Focus

Fernández Baldo's research is centered around bioanalytical chemistry and nanotechnology. He has expertise in synthesizing nanomaterials using both chemical and biological methods (such as microorganisms like fungi and bacteria). His work includes the use of these nanomaterials in biosensors with electrochemical detection or laser-induced fluorescence (LIF) for the determination of various biochemical, environmental, and agro-food analytes.

In recent years, his research has expanded to focus on the early diagnosis of epithelial cancers (breast, colorectal, lung, prostate) through the determination of specific tumor markers. He is also dedicated to the diagnosis of infectious diseases like parasitic, viral, and fungal infections.

🌍 Impact and Influence

Fernández Baldo's work in the field of bioanalytical chemistry and nanotechnology is making significant strides in improving diagnostic tools for both cancer and infectious diseases. His interdisciplinary approach, combining nanotechnology with bioanalytical methods, has had a notable impact on public health diagnostics, especially in low-resource settings where early and accurate detection is critical.

🛠️ Technical Skills

His technical expertise spans a variety of advanced techniques, including: Nanomaterial synthesis (chemical and biological methods). Characterization of nanomaterials using: UV-vis, XRD, XRF, FTIR, DLS, SEM, EDS, TEM. Biosensor development for: Electrochemical detection, Laser-induced fluorescence (LIF) detection.

🏅 Teaching Experience

Throughout his career, Martín Fernández Baldo has also been involved in teaching and mentorship. He contributes to postgraduate courses, such as the course on "Instrumental Analysis Methods: Biological Applications", offered by the Universidad Nacional de Cuyo. His participation in academia extends to supervising students and guiding research projects in the fields of analytical chemistry and bioanalysis.

📚 Legacy and Future Contributions

Looking forward, Martín Fernández Baldo aims to further his research in bioanalytical chemistry and nanotechnology, specifically focusing on the early diagnosis of cancers and infectious diseases. His goal is to develop more efficient, cost-effective diagnostic tools that can be applied globally. His work will likely continue to influence the fields of public health, analytical chemistry, and nanotechnology, contributing to the betterment of global diagnostic practices.

📖  Notable Publications

Copper nanoparticles as a potential emerging pollutant: Divergent effects in the agriculture, risk-benefit balance and integrated strategies for its use

Authors: Tortella, G., Rubilar, O., Fincheira, P., Fernandez-Baldo, M., Seabra, A.B.
Journal: Emerging Contaminants
Year: 2024

Metal nanoparticles and pesticides under global climate change: Assessing the combined effects of multiple abiotic stressors on soil microbial ecosystems

Authors: Fernández-Triana, I., Rubilar, O., Parada, J., Seabra, A.B., Tortella, G.R.
Journal: Science of the Total Environment
Year: 2024

Electrochemical microfluidic immunosensor with graphene-decorated gold nanoporous for T-2 mycotoxin detection

Authors: Fernandez Solis, L.N., Silva Junior, G.J., Bertotti, M., Fernández-Baldo, M.A., Regiart, M.
Journal: Talanta
Year: 2024

Advances in Nanomaterials and Composites Based on Mesoporous Materials as Antimicrobial Agents: Relevant Applications in Human Health

Authors: Gomez, G.E., Hamer, M., Regiart, M.D., Soler Illia, G.J.A.A., Fernández-Baldo, M.A.
Journal: Antibiotics
Year: 2024

Use of Mechanochemical Methodology to Explore the Formation of a New Crystalline Phase in the Curcumin-Quercetin System

Authors: D'Vries, R.F., Pastrana-Dávila, A., Pantoja, K.D., Gomez, G.E., Fernández-Baldo, M.A.
Journal: ChemistrySelect
Year: 2024

Five years of advances in electrochemical analysis of protein biomarkers in lung cancer: a systematic review

Authors: Regiart, M., Fernández-Baldo, M.A., Navarrete, B.A., Valero, T., Ortega, F.G.
Journal: Frontiers in Chemistry
Year: 2024

Origami Paper-Based Electrochemical Immunosensor with Carbon Nanohorns-Decorated Nanoporous Gold for Zearalenone Detection

Authors: Laza, A., Pereira, S.V., Messina, G.A., Regiart, M.D., Bertolino, F.A.
Journal: Chemosensors
Year: 2024