Manish Kumar | Analytical Chemistry | Best Researcher Award -1763

Dr. Manish Kumar | Analytical Chemistry | Best Researcher Award

Indian Institute of Technology, India

👨‍🎓Profiles

🎓 Academic Journey

Dr. Manish Kumar is a dedicated researcher with a strong background in chemistry, nanomaterials, and environmental sensing. He earned his Ph.D. in Chemistry from the Indian Institute of Technology (IIT) Ropar in February 2024. His research focused on organic cation receptors and metal nanocomposite-based chemical sensors for environmental monitoring under the supervision of Prof. Narinder Singh. Prior to this, he completed his Master of Science (M.Sc.) in Chemistry from Maharshi Dayanand University, Rohtak in 2018, securing 66.87% marks. His Bachelor of Science (B.Sc.) in Chemistry (Hons.) from Pt. Neki Ram Government College, Rohtak in 2016 was completed with an impressive 74.50% score, showcasing his strong academic foundation in chemistry and material sciences.

🏢 Research and Professional Experience

Dr. Manish Kumar has amassed significant research experience through his involvement in multiple prestigious institutions. Currently, since November 2024, he is a Postdoctoral Researcher at the Department of Biosciences and Technologies for Agriculture, Food, and Environment, University of Teramo, Italy. His ongoing project, "Hybrid Devices and Machine Learning for Food and Environmental Safety (HYDEAL4SAFETY)", is supervised by Prof. Dario Compagnone, a leading expert in analytical chemistry and the Deputy Rector for Research at the university.

Prior to his postdoctoral role, he worked as a Research Associate at the Department of Chemistry, Indian Institute of Technology (IIT) Delhi from March 2024 to June 2024. Under the guidance of Prof. Ritu Gupta, he contributed to the development of functionalized metal oxides and layered materials for environmental sensors, further expanding his expertise in nanomaterials and sensor technology.

🔬 Research Expertise

Dr. Manish Kumar's research spans a wide array of domains, with a particular focus on nanomaterials, chemical sensors, and environmental monitoring. His core research expertise includes:

  • Design and Development of Nanomaterials-based Sensors for detecting environmental pollutants.
  • Synthesis of Ionic Liquids and Alloy Nanocomposites to enhance sensor efficiency.
  • Supramolecular and Material Chemistry, specifically for sensing applications.
  • Environmental Analysis and Water Purification using advanced filtration techniques.
  • Chromogenic and Electrochemical Sensor Development for real-time monitoring of hazardous substances.
  • Machine Learning-assisted Array Sensors for the detection and discrimination of multiple analytes, bridging the gap between computational intelligence and experimental chemistry.

🖥️ Technical Skills

Dr. Manish Kumar is proficient in both experimental techniques and computational tools, making him a versatile researcher in analytical chemistry and material science. His technical skills include:

  • Synthesis Techniques: Expertise in designing cation receptors, ionic liquids, and their nanocomposites with graphene oxide, alloy nanoparticles, and multi-walled carbon nanotubes (MWCNTs). He has also developed supramolecular sensors, electrochemical sensors, and filtration membranes for environmental applications.
  • Instrumentation Handling: Skilled in operating advanced analytical instruments such as NMR, HRMS, FTIR, PXRD, DLS, SEM, FESEM, UV-Vis Absorption Spectrometer, Fluorescence Spectrometer, Cyclic Voltammetry, Ion-Channel Chromatography, Time-Resolved Fluorescence Spectrometer, and Gas Chromatography.
  • Software Proficiency: Experienced in using computational tools like M-Nova, ChemDraw, Origin, XP Speak 4.1, Gwyddion, Avantage, and MS Office for data analysis, spectral interpretation, and scientific visualization.

🌍 Personal and Professional Attributes

Dr. Manish Kumar, born on August 20, 1997, is a passionate and detail-oriented scientist with a strong commitment to advancing chemical sensor technology for environmental safety. He is fluent in English and Hindi and belongs to the OBC category. His ability to integrate nanomaterials, machine learning, and environmental chemistry has positioned him as a promising researcher in analytical and material sciences.

📖Notable Publications

Pyrene functionalized organic cation receptor-based “turn-on” fluorescence approach for monitoring of chlorpyrifos in food, soil, and water samples

Authors: Manish Kumar, Aman Dhiman, Gagandeep Singh, Navneet Kaur, Narinder Singh

Journal: Analytica Chimica Acta

Year: 2025-01-22

Colorimetric Nanozyme Sensor Array Based on Metal Nanoparticle-Decorated CNTs for Quantification of Pesticides in Real Water and Soil Samples

Authors: Manish Kumar, Navneet Kaur, Narinder Singh

Journal: ACS Sustainable Chemistry & Engineering

Year: 2024-01-15

NiCr₂O₄ nanozyme based portable sensor kit for on-site quantification of nerve agent mimic for environment monitoring

Authors: Manish Kumar, Navneet Kaur, Narinder Singh

Journal: Sensors and Actuators B: Chemical

Year: 2023-10

Detection and detoxification of imidacloprid in food samples through ionic liquid-stabilized CuNi alloy nanoparticle-decorated multiwall carbon nanotubes

Authors: Manish Kumar

Journal: Environmental Science: Nano

Year: 2022

Machine Learning-Based Analytical Systems: Food Forensics

Authors: Ranbir, Manish Kumar, Gagandeep Singh, Jasvir Singh, Navneet Kaur, Narinder Singh

Journal: ACS Omega

Year: 2022-12-27

Organic Cation Receptor for Colorimetric Lateral Flow Device: Detection of Zearalenone in Food Samples

Authors: Manish Kumar

Journal: ACS Applied Materials & Interfaces

Year: 2022-01-03

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