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

 

Md Ahasan Ahamed | Analytical Chemistry | Analytical Chemistry Award

Mr. Md Ahasan Ahamed | Analytical Chemistry | Analytical Chemistry Award

Bangladesh University of Textiles, Bangladesh

👨‍🎓Profiles

📘 Early Academic Pursuits

The academic journey began with a B.Sc. in Mechanical Engineering from Bangladesh University of Engineering and Technology (BUET) in 2014. During this phase, research was conducted on electricity generation from compression of speed breakers, demonstrating an early interest in applied engineering solutions. Further academic advancement led to a M.S. in Mechanical Design and Production Engineering from Konkuk University, South Korea (2020-2022), where the research focused on developing a pre-programmed microdroplet generator for controlling chemical concentrations. Currently, pursuing a Ph.D. in Electrical Engineering at Pennsylvania State University (2022-2026), integrating Recombinase Polymerase Amplification (RPA) with nanopore sensing for point-of-care disease detection.

🏆 Professional Endeavors

With over six years of teaching and research experience, the professional journey includes roles as Lecturer and Assistant Professor at Bangladesh University of Textiles (BUTEX) and BGMEA University of Fashion & Technology (BUFT) from 2014 to 2020. Transitioning into the research domain, positions were held as a Graduate Research Assistant at Konkuk University (2020-2022) and Pennsylvania State University (2022-Present). Recently, appointed as a Visiting Scholar at Indiana University, Bloomington (2025-Present), further broadening the academic and research exposure.

🔬 Contributions and Research Focus

A strong research background in point-of-care (POC) devices, disease diagnosis, and sensor technology has led to significant contributions in designing microfluidic devices and nanopore sensors. Proficiency in biochemical reaction methodologies, including Polymerase Chain Reaction (PCR), Recombinase Polymerase Amplification (RPA), Loop-mediated Isothermal Amplification (LAMP), and CRISPR/Cas12, has played a crucial role in developing diagnostic tools for infectious diseases like Monkeypox, SARS-COVID, Cowpox, and HIV.

🌍 Impact and Influence

The research has had a profound impact on healthcare and diagnostic technologies, especially in early detection methods for infectious diseases. The work in integrating machine learning algorithms with sensor-based diagnostics has pushed the boundaries of automation and accuracy in medical testing. The interdisciplinary nature of the research—bridging mechanical design, electrical engineering, and biotechnology—positions it as a key contributor to next-generation disease detection systems.

📊 Academic Citations & Publications

With a growing influence in the academic world, the research work has been recognized with 67 citations, 18 published papers, and 6 conference and poster presentations. The continuous contribution to high-impact journals and international conferences highlights the commitment to advancing knowledge in biomedical engineering and sensor technology.

🛠️ Technical Skills

Expertise spans across instrumentation, fabrication, and analysis, including hands-on experience with: 3D Printing: Asiga UV Max X43, Ultimaker 3.0, Laser Systems: Universal Laser Systems, Microscopy: Optical Microscopes, Nikon Ti U Inverted Camera, pco.edge 5.5, Sensors & Electronics: Pressure Sensors (PX-309 series, Eve flow series), Axopatch 200b, Molecular Diagnostic Tools: Thermal Cycler (BIORAD T100), Plasma Treatment Machines, Software & Programming: MATLAB, Python, and Machine Learning Algorithms.

🎓 Teaching Experience

With over six years of teaching experience, expertise has been shared in Mechanical Engineering, Engineering Drawing, Machine Design, MATLAB, and Python programming with undergraduate students. The ability to bridge theoretical knowledge with hands-on applications has benefited students in engineering and research domains.

🌱 Legacy and Future Contributions

Looking ahead, the focus remains on developing innovative diagnostic devices that are cost-effective, rapid, and highly accurate for real-world applications. The integration of machine learning with nanopore sensors will continue to be a significant area of exploration. Additionally, mentoring future researchers and students in interdisciplinary fields will be an integral part of academic and professional contributions.

📖Notable Publications

Sensitive and specific CRISPR-Cas12a assisted nanopore with RPA for Monkeypox detection
Authors: MA Ahamed, MAU Khalid, M Dong, AJ Politza, Z Zhang, A Kshirsagar, ...
Journal: Biosensors and Bioelectronics 246, 115866
Year: 2024

Electricity generation from speed breaker by air compression method using wells turbine
Authors: MA Ahamed, MI Reza, M Al-Amin
Journal: Journal of Advanced Engineering and Computation 4 (2), 140-148
Year: 2020

Pre-programmed microdroplet generator to control wide-ranging chemical concentrations
Authors: MA Ahamed, G Kim, Z Li, SJ Kim
Journal: Analytica Chimica Acta 1236, 340587
Year: 2022

Functionalized Cellulose for Textile Organic Pollutant Treatment: a Comprehensive Review
Authors: MM Rashid, N Abir, SAB Kamal, M Al-Amin, MA Ahamed, MT Islam, ...
Journal: Water Conservation Science and Engineering 9 (11)
Year: 2024

A Portable Centrifuge for Universal Nucleic Acid Extraction at the Point-of-Care
Authors: AJ Politza, T Liu, A Kshirsagar, M Dong, MA Ahamed, W Guan
Journal: Available at SSRN 4781228
Year: 2024

Wenjibin Sun | Analytical Chemistry | Best Researcher Award

Prof. Dr. Wenjibin Sun | Analytical Chemistry | Best Researcher Award

Guizhou University, China

👨‍🎓Profiles

🌱 Early Academic Pursuits

Dr. Wenjibin Sun embarked on his academic journey at Guizhou University, where he pursued a Ph.D. in mining and geological engineering. His dedication to research excellence led him to a prestigious joint doctoral training program at the University of Newcastle, Australia, under the China Scholarship Council (CSC) sponsorship. This international exposure enriched his expertise in unconventional oil and gas exploration, equipping him with advanced methodologies for analyzing shale gas reservoirs and their development potential.

🏆 Professional Endeavors

Currently serving as a Distinguished Professor at the Mining College, Guizhou University, Dr. Sun plays a pivotal role in mentoring Ph.D. and Master’s students. His professional journey includes extensive consultancy experience with six industry projects, where he has contributed to cutting-edge solutions in shale gas exploration and mine power disaster prevention. His contributions to the field were recognized in 2022 when he received the Guizhou Provincial Science and Technology Progress Award for his research on shale gas enrichment in northern Guizhou.

🔬 Contributions and Research Focus

Dr. Sun's research primarily revolves around unconventional oil and gas exploration and mine safety. He has made significant strides in:

  • Characterizing micro and nanopore structures in unconventional reservoirs.
  • Analyzing pore connectivity to improve oil and gas recovery efficiency.
  • Investigating shale gas enrichment mechanisms for optimized extraction.
  • Assessing rock fracture propagation and permeability, crucial for hydraulic fracturing operations.

His work in these areas has laid a strong theoretical foundation for the efficient exploitation of the Niutitang Formation shale gas reservoirs in northern Qianbei, contributing significantly to China’s energy sector.

🌍 Impact and Influence

As an influential academic, Dr. Sun is actively engaged in international collaborations and editorial activities. He serves as a peer reviewer for top-tier SCI journals, including:

  • Energy, Ocean and Petroleum Science
  • Natural gas Science and Engineering
  • Journal of Petroleum Science and Engineering
  • Natural Resources Research
  • Journal of Geomechanics and Geophysics
  • Energy and Geological Resources

His 14 publications in SCI and Scopus-indexed journals demonstrate his commitment to advancing knowledge in petroleum engineering, shale gas reservoirs, and geomechanics.

📚 Academic Citations and Recognitions

Dr. Sun’s research outputs have garnered substantial citations, reflecting the impact of his work on the scientific community. His award-winning research, particularly in shale gas fracturing technology, has been recognized in provincial and national forums, reinforcing his status as a leading expert in his field.

🛠️ Technical Skills

With deep expertise in geomechanical analysis, reservoir modeling, and unconventional resource evaluation, Dr. Sun is proficient in:

  • Microstructural characterization of rock formations using advanced imaging techniques.
  • Numerical simulation and modeling of reservoir properties.
  • Petroleum engineering software for fracture analysis and permeability studies.
  • Data-driven approaches for optimizing shale gas extraction.

🎓 Teaching and Mentorship

Dr. Sun is deeply involved in academic mentoring, having guided multiple Ph.D. and Master’s students in their research pursuits. He has also played a crucial role in training the winning team at the 14th "Challenge Cup" Provincial Competition, where students developed an integrated energy-fracturing device for shale reservoirs. His teaching philosophy emphasizes practical applications, preparing students for industry challenges.

🔬 Patents and Innovations

With nine published patents, Dr. Sun has significantly contributed to technological advancements in shale gas fracturing techniques and mining safety mechanisms. His innovations focus on improving efficiency, safety, and sustainability in oil and gas extraction.

🔮 Legacy and Future Contributions

Dr. Sun’s contributions to shale gas exploration and geomechanics have shaped industry practices and academic research. Moving forward, he aims to:

  • Enhance research in energy transition by integrating AI and machine learning into reservoir characterization.
  • Develop novel eco-friendly extraction techniques to minimize the environmental footprint of shale gas exploitation.
  • Strengthen global collaborations to bring innovative

📖Notable Publications

Impact of Slickwater Fracturing Fluid on Pore Structure and Micromechanical Properties of Clay-Rich Shale Using Fluid Intrusion and AFM Experiments

Authors: Qichi Dai, Wenjibin Sun, Yujun Zuo, Bobo Li, Zhonghu Wu, Xiaohua Tan, Hang Lei, Wei Lv, Yueqin Li

Journal: ACS Omega

Year: 2025

The Impact of Pore Heterogeneity on Pore Connectivity and the Controlling Factors Utilizing Spontaneous Imbibition Combined with Multifractal Dimensions: Insight from the Longmaxi Formation in Northern Guizhou

Authors: Wenjibin Sun, Yujun Zuo, Zhijie Wen, Bobo Li, Zhonghu Wu, Lulin Zheng, Jianyun Lin, Hao Liu, Bin Chen, Peng Rong et al.

Journal: Energy

Year: 2024

Seepage Characteristics of Coal under Complex Mining Stress Environment Conditions

Authors: Lei Zhang, Liang Luo, Jianzhong Pan, Xijian Li, Wenjibin Sun, Shixiang Tian

Journal: Energy & Fuels

Year: 2024

Study on Dynamic Characteristics of Sandstone Damaged by Loading and Unloading

Authors: Shang Hu, Yujun Zuo, Qinggang Chen, Chao Pan, Bin Chen, Peng Rong, Wenjibin Sun, Jianyun Lin, Shuyan Du, Xiaocheng Tang

Journal: Engineering Failure Analysis

Year: 2024