Aadarsh Parashar | Analytical Chemistry | Best Researcher Award

Published on by Analytical Chemistry

Mr. Aadarsh Parashar | Analytical Chemistry | Best Researcher Award

Colorado School of Mines, United States

👨‍🎓Profiles

🎓 Early Academic Pursuits

Aadarsh Parashar began his academic journey at the Indian Institute of Technology Bombay, where he pursued a Bachelor and Master of Technology in Energy Science and Engineering. With a commendable GPA of 8.69/10.00, he built a strong foundation in energy systems, computational modeling, and experimental research. His academic excellence led him to further his studies at the Colorado School of Mines, where he is currently a Ph.D. candidate in Mechanical Engineering with a perfect GPA of 4.0/4.0. Expected to graduate in August 2025, he has focused his research on reversible fuel cell technology and hydrogen systems, striving to innovate clean energy solutions.

🏭 Professional Endeavors

Aadarsh has a rich professional background, having worked with esteemed institutions and companies. During his time as a Research Associate at IIT Bombay, he transitioned complex algorithms from C++ to Python for electrode optimization, improving computational efficiency. He also conducted numerical studies on microstructure characterization for better material design. As a Summer Intern at Cummins India Limited, he contributed to sustainable mobility by performing life cycle analysis of Li-ion batteries and integrating MATLAB Simulink models to optimize fuel cell-battery hybrid vehicles. Currently, as a Graduate Researcher at Colorado School of Mines, he has led groundbreaking projects in reversible solid oxide fuel cells (rSOFCs), developing high-temperature, high-pressure systems and collaborating on DOE-funded projects to validate system performance.

🔬 Contributions and Research Focus

Aadarsh’s research is centered around hydrogen production and reversible fuel cell technology. He successfully designed and constructed a $125,000 test facility for kW-scale reversible fuel cell experiments, pushing operational limits up to 800°C and 6.5 bar. His work has led to a breakthrough in reducing hydrogen production costs below $2/kg, a significant milestone in making hydrogen energy more commercially viable. Collaborating with industry leaders like Nexceris and Northwestern University, he has played a key role in scaling up hydrogen-based energy solutions.

🌍 Impact and Influence

His research holds great promise for the future of clean energy and grid-scale storage solutions. By improving the efficiency and economic feasibility of reversible solid oxide cell (rSOC) systems, Aadarsh’s contributions could accelerate the global transition toward sustainable hydrogen-based energy systems. His innovations in techno-economic modeling and high-fidelity validation of energy systems are critical in making renewable energy more scalable and cost-effective.

📚 Academic Citations and Publications

Aadarsh’s impactful research has been documented in renowned journals and conferences, including:

  • "Performance analysis of a 1 MW reversible solid oxide system for flexible hydrogen and electricity production" (International Journal of Hydrogen Energy, 2025).
  • "Scenarios for Hydrogen Production from a Full-Scale Reversible Solid Oxide System with Electrolyte-Supported Stacks" (Electrochemical Society Meeting Abstracts, 2023).
  • "Assessing reversible solid oxide cell systems for grid-energy storage based on H2/H2O and CH4/H2O-CO2 chemistries" (European Fuel Cell Forum, 2022).

These contributions serve as key references in the field of hydrogen energy, solidifying his standing as a thought leader in reversible fuel cell systems.

💻 Technical Skills

Aadarsh is proficient in a diverse range of software and programming tools essential for energy system modeling and simulation:

  • Programming: Python, MATLAB, C++, Bash
  • Energy System Simulation: COMSOL, gPROMS Process, LabVIEW
  • Data Analysis & Modeling: High-fidelity system validation, techno-economic analysis
  • Experimental Techniques: High-temperature and high-pressure system design, safety protocol development

His multidisciplinary expertise allows him to bridge the gap between computational modeling and real-world experimental validation, enhancing the reliability of clean energy technologies.

👨‍🏫 Teaching and Mentorship

Beyond research, Aadarsh has contributed to academic mentorship and knowledge dissemination. He has actively guided junior researchers and students, helping them develop experimental techniques and computational modeling skills. His commitment to education and research collaboration strengthens the pipeline of future engineers and scientists in the hydrogen and clean energy domain.

🚀 Legacy and Future Contributions

Aadarsh’s work is paving the way for next-generation hydrogen technologies that are both economically viable and scalable. His research has already contributed to a significant cost reduction in hydrogen production, and his future work is expected to further optimize fuel cell efficiency, durability, and grid-scale deployment. By integrating high-fidelity modeling, experimental validation, and industry collaboration, he aims to revolutionize renewable energy storage and hydrogen economy applications.

📖Notable Publications

"Performance analysis of a 1 MW reversible solid oxide system for flexible hydrogen and electricity production"

Authors: A Parashar, A Vaeth, OB Rizvandi, SL Swartz, RJ Braun

Journal: International Journal of Hydrogen Energy

Year: 2025

"Scenarios for Hydrogen Production from a Full-Scale Reversible Solid Oxide System with Electrolyte-Supported Stacks"

Authors: A Parashar, RJ Braun

Journal: Electrochemical Society Meeting Abstracts

Year: 2023

"Assessing reversible solid oxide cell systems for grid-energy storage based on H2/H2O and CH4/H2O-CO2 chemistries"

Authors: A Parashar, J Hosseinpour, E Reznicek, RJ Braun

Journal: European Fuel Cell Forum

Year: 2022

Tao Yang | Electrochemistry | Best Researcher Award

Published on by Analytical Chemistry

Prof. Tao Yang | Electrochemistry | Best Researcher Award

University of Science and Technology Beijing, China

👨‍🎓Profiles

🎓 Early Academic Pursuits

Prof. Tao Yang embarked on his academic journey at the University of Science and Technology Beijing (USTB), where he pursued a doctoral degree at the State Key Laboratory of Advanced Metallurgy from 2012 to 2018. His early research laid a strong foundation in materials science and electrochemistry, setting the stage for his future contributions to sustainable energy and carbon neutrality.

👨‍🏫 Professional Endeavors

After completing his doctorate, Prof. Yang continued at USTB as a postdoctoral researcher in the School of Materials Science and Engineering (2018-2021). During this period, he expanded his expertise in electrocatalysis and nanogenerator technologies. He then advanced to an associate professor role at the Collaborative Innovation Center of Steel Technology (2018-2021), further enhancing his research impact. Since July 2021, he has served as a full professor at the Institute of Carbon Neutrality at USTB, leading groundbreaking research initiatives in sustainable energy solutions.

🔬 Contributions and Research Focus

Prof. Yang's research spans multiple critical areas in electrochemistry and energy science, including:

Electrocatalysis & Hydrogen Production: Developing advanced materials for water splitting to generate hydrogen efficiently.

Carbon Dioxide Reduction & Utilization: Innovating techniques to convert CO₂ into valuable chemical fuels, addressing climate change challenges.

Piezoelectricity & Nanogenerators: Exploring self-powered energy harvesting technologies for renewable energy applications.

Electromagnetic Wave Absorption: Investigating materials that mitigate electromagnetic interference, contributing to advanced communication and defense technologies.

📊 Impact and Influence

With over 60 SCI/EI-indexed papers as the first or corresponding author, Prof. Yang has established himself as a prolific researcher. His work has amassed 3,500 citations on Google Scholar, achieving an h-index of 36. Notably, 8 of his papers have been featured as journal covers, and 7 have been recognized as ESI Highly Cited Papers, underscoring the significance of his research in the scientific community.

🏆 Academic Recognitions

Prof. Yang's remarkable contributions have earned him numerous accolades, including:

Postdoctoral Innovative Talent Support Program

Beijing Outstanding Talent – Young Backbone Individual

Inclusion in Stanford University’s World’s Top 2% Scientists (2022-2024) These prestigious honors highlight his sustained excellence and influence in the field of carbon neutrality and energy conversion.

🛠️ Technical Skills

Prof. Yang possesses a deep expertise in advanced material characterization and electrochemical techniques, including: Electrocatalysis testing and analysis, Nanomaterial synthesis and modification, Advanced spectroscopy and microscopy techniques, Computational modeling for material behavior predictions His technical prowess enables him to push the boundaries of innovation in clean energy technologies.

🎓 Teaching and Mentorship

As a professor and doctoral supervisor at USTB, Prof. Yang plays a pivotal role in shaping the next generation of researchers. He actively mentors Ph.D. and master's students, guiding them in cutting-edge research on sustainable energy solutions. His commitment to academic excellence ensures that his students receive top-tier education and research training.

🌏 Legacy and Future Contributions

Looking ahead, Prof. Yang aims to: Expand research on scalable hydrogen production technologies, Develop novel catalysts for efficient CO₂ conversion, Advance self-powered nanogenerator applications, Contribute to global efforts in achieving carbon neutrality His work continues to drive scientific innovation and practical solutions for a more sustainable future, making him a leading figure in electrochemical energy research.

📖Notable Publications

1. Gut dysbiosis is linked to hypertension
Authors: T Yang, MM Santisteban, V Rodriguez, E Li, N Ahmari, JM Carvajal, ...
Journal: Hypertension
Year: 2015

2. Multicomponent intermetallic nanoparticles and superb mechanical behaviors of complex alloys
Authors: T Yang, YL Zhao, Y Tong, ZB Jiao, J Wei, JX Cai, XD Han, D Chen, A Hu, ...
Journal: Science
Year: 2018

3. DSC: Scheduling parallel tasks on an unbounded number of processors
Authors: T Yang, A Gerasoulis
Journal: IEEE Transactions on Parallel and Distributed Systems
Year: 1994

4. Heterogeneous precipitation behavior and stacking-fault-mediated deformation in a CoCrNi-based medium-entropy alloy
Authors: YL Zhao, T Yang, Y Tong, J Wang, JH Luan, ZB Jiao, D Chen, Y Yang, ...
Journal: Acta Materialia
Year: 2017

5. A comparison of clustering heuristics for scheduling directed acyclic graphs on multiprocessors
Authors: A Gerasoulis, T Yang
Journal: Journal of Parallel and Distributed Computing
Year: 1992

6. The gut microbiota and the brain–gut–kidney axis in hypertension and chronic kidney disease
Authors: T Yang, EM Richards, CJ Pepine, MK Raizada
Journal: Nature Reviews Nephrology
Year: 2018

7. Hypertension-linked pathophysiological alterations in the gut
Authors: MM Santisteban, Y Qi, J Zubcevic, S Kim, T Yang, V Shenoy, ...
Journal: Circulation Research
Year: 2017

Qiang Qu | Analytical Chemistry | Best Researcher Award

Published on by Analytical Chemistry

Mr. Qiang Qu | Analytical Chemistry | Best Researcher Award

Pfizer Research and Development, United States

👨‍🎓Profiles

🏛️ Early Academic Pursuits

Qiang Qu embarked on his academic journey with a strong foundation in biochemistry, earning a B.S. from Nankai University in 1995. He further honed his expertise by obtaining a Master’s degree in Genetics from the Chinese Academy of Sciences, Institute of Genetics in 1998. His academic training provided him with a solid understanding of molecular biology, protein analysis, and genetic mechanisms—knowledge that would later fuel his career in biopharmaceutical research and clinical assay development.

🏢 Professional Endeavors

With over 14 years of experience in the biopharmaceutical industry, Qiang Qu has played pivotal roles in assay development, clinical research, and regulatory strategy. His career began at Pfizer in 2010 as a Senior Scientist in BioMedicine Design-PDM, where he focused on bioanalytical assay development for pharmacokinetics (PK) and immunogenicity assessments. In 2016, he joined EMD Serono as an Associate Director and Lab Head, where he managed a team of scientists, overseeing assay development for large molecule therapeutics. By 2020, he returned to Pfizer as the Biologics & Immunogenicity Clinical Assay Lead, a role in which he continues to make significant contributions to the development and regulatory approval of biologics.

🔬 Contributions and Research Focus

Qiang Qu's research expertise spans PK, anti-drug antibody (ADA), and neutralizing antibody (NAb) assay development, particularly in clinical phases. He has led the development, validation, and transfer of bioanalytical assays using state-of-the-art technologies such as ELISA, MSD, Gyros, and Octet platforms. His contributions have been instrumental in ensuring the robustness, reliability, and regulatory compliance of assays used in drug development.

🌍 Impact and Influence

Through his leadership roles, Qiang Qu has had a direct influence on clinical assay strategies, shaping the scientific direction of bioanalytical projects. His collaborations with CROs (Contract Research Organizations) and regulatory bodies have ensured the successful transfer and validation of critical assays supporting IND/BLA/NDA submissions. He has also mentored and managed teams, fostering the next generation of scientists in assay development.

📚 Academic Citations & Industry Recognition

His work in biologics and immunogenicity assays has been widely recognized within the scientific community. His contributions have been cited in regulatory filings, scientific reports, and industry presentations, strengthening the scientific foundation for immunogenicity risk assessment and bioanalytical methodologies in pharmaceutical research.

🛠️ Technical Skills

Qiang Qu possesses extensive technical expertise in:

  • Bioanalytical assay development (PK, ADA, and NAb)
  • Method validation and assay transfer under GLP/GCLP compliance
  • Technology platforms: ELISA, MSD, Gyros, Octet, and automation tools
  • Regulatory compliance and dossier preparation for clinical and regulatory submissions
  • CRO management, troubleshooting, and scientific oversight

🎓 Teaching & Mentorship Experience

Throughout his career, Qiang Qu has played a significant role in mentoring junior scientists and contractors, guiding them through assay development and regulatory expectations. His leadership at EMD Serono and Pfizer involved training and supervising 6-8 direct reports, helping them build expertise in bioanalytical methodologies. His mentorship extends beyond the lab, as he frequently participates in scientific discussions, internal knowledge-sharing sessions, and industry conferences.

🔥 Legacy and Future Contributions

Qiang Qu's contributions to bioanalytical sciences and immunogenicity assay development have already left a lasting impact on the field of biologics drug development. His expertise in method validation, regulatory submissions, and clinical strategy continues to shape the future of biopharmaceutical research. Moving forward, he is poised to further enhance assay innovation, improve immunogenicity risk assessment, and contribute to emerging technologies in biologics. His legacy is one of scientific excellence, leadership, and mentorship, ensuring that his influence extends well beyond his immediate projects.

Jozsef Garai | Physical Chemistry | Best Researcher Award

Published on by Analytical Chemistry

Prof. Jozsef Garai | Physical Chemistry | Best Researcher Award

University of Debrecen, Hungary

👨‍🎓Profiles

🎓 Early Academic Pursuits

Jozsef Garai's academic journey began with a strong foundation in civil engineering. He earned his B.Sc. in Civil Engineering with a specialization in Highway Engineering from the Technical College of Transportation and Telecommunication, Budapest (1974). Continuing his pursuit of excellence, he completed an M.Sc. in Civil Engineering at the University of Technical Sciences, Budapest (1984). Expanding his horizons, he later obtained an M.Sc. in Earth and Space Sciences from the State University of New York (SUNY) at Stony Brook (2001), followed by a Ph.D. in Geosciences from Florida International University (FIU) in 2007, where he maintained an impressive GPA of 3.8. His academic journey culminated in a Habilitation in Geosciences at the University of Debrecen in 2014, further solidifying his expertise.

🏛️ Professional Endeavors

Dr. Garai has had a distinguished career spanning multiple continents and disciplines. He has held key academic positions, including serving as a Professor at the University of Debrecen (2017-2021) and a Senior Associate Professor (2014-2016). Earlier, he was an Associate Professor and Chair at Ybl Miklós College of Engineering, Szent István University (2011-2013). His postdoctoral research at FIU (2008-2010) in Mechanical and Materials Engineering highlights his dedication to advancing scientific knowledge. Additionally, he has served as a Research and Teaching Assistant at both FIU and SUNY (1998-2007), further contributing to academic development.

🔬 Contributions and Research Focus

Dr. Garai's research interests cover a diverse array of scientific fields, including Geosciences, Structural Engineering, and Materials Science. His expertise extends to Multi-Anvil and Diamond Anvil Cell experiments, Raman Spectroscopy, Fluorescence Spectroscopy, and Scanning Electron Microscopy. His work on carbonado diamond was recognized among the Top 100 Science Stories of 2007 (#60), showcasing its impact on the scientific community.

🌍 Impact and Influence

Beyond academia, Dr. Garai has actively contributed to scientific and engineering advancements through consultancy and industry collaborations. His role as a Consulting Engineer for American International Business Corp. (1990-1992) and an Engineering Lecturer and Assistant Professor at Ybl Miklós College of Engineering (1979-1990) highlights his blend of academic and practical expertise. Additionally, he played a pivotal role in research as a Geotechnical Engineer (1974-1979), working on infrastructure projects in Hungary.

📚 Academic Citations and Recognitions

Dr. Garai’s scholarly contributions have earned him multiple accolades, including: Dissertation Year Fellowship (2007), First Prize in Student Essay Awards in Magnetics (2004), Excellence in Teaching Award (2003), Second Prize, Scholarly Forum in Physical Sciences (2005, 2002), His work has been published and cited widely, contributing significantly to the fields of geosciences, material sciences, and structural engineering.

🛠️ Technical Skills

Dr. Garai is proficient in cutting-edge spectroscopy and microscopy techniques, including: Multi-Anvil and Diamond Anvil Cell experiments, Powder X-ray Diffraction (XRD), Raman and Infrared Spectroscopy, Fluorescence Spectroscopy, Microprobe Analysis, Scanning Electron Microscopy (SEM). Additionally, he has programming skills in PHP, Matlab, and Maple and experience in Web Design (HTML) and Computer Graphics, showcasing his versatility in both experimental and computational research.

👨‍🏫 Teaching Experience

Dr. Garai has extensive teaching experience, having mentored students at various institutions for over four decades. His roles include:

  • Professor, University of Debrecen (2017-2021),
  • Senior Associate Professor, University of Debrecen (2014-2016)
  • Chair & Associate Professor, Ybl Miklós College of Engineering (2011-2013)
  • Assistant Professor and Lecturer, Ybl Miklós College of Engineering (1979-1990)

His excellence in education was recognized with an Excellence in Teaching Award (2003), reflecting his commitment to nurturing future engineers and scientists.

🎖️ Legacy and Future Contributions

Dr. Garai’s legacy is marked by his impactful research, innovative contributions to geosciences and engineering, and his mentorship of students. His multidisciplinary expertise and global academic footprint ensure that his influence will continue to shape the fields of geosciences, materials science, and engineering. His dedication to scientific exploration, education, and industry collaboration sets a benchmark for aspiring researchers and professionals.

📖Notable Publications

The temperature dependence of the isothermal bulk modulus at 1 bar pressure
Authors: J. Garai, A. Laugier
Journal: Journal of Applied Physics
Year: 2007

Physical model for vaporization
Author: J. Garai
Journal: Fluid Phase Equilibria
Year: 2009

Derivation of the ideal gas law
Authors: A. Laugier, J. Garai
Journal: Journal of Chemical Education
Year: 2007

Infrared absorption investigations confirm the extraterrestrial origin of carbonado diamonds
Authors: J. Garai, S.E. Haggerty, S. Rekhi, M. Chance
Journal: The Astrophysical Journal
Year: 2006

Correlation between thermal expansion and heat capacity
Author: J. Garai
Journal: Calphad
Year: 2006

Semiempirical pressure-volume-temperature equation of state: MgSiO3 perovskite is an example
Author: J. Garai
Journal: Journal of Applied Physics
Year: 2007

Yue Qiu | Computational Chemistry | Excellence in Research

Published on by Analytical Chemistry

Dr. Yue Qiu | Computational Chemistry | Excellence in Research

Jinhua Advanced Research Institute, China

👨‍🎓Profiles

🏫 Early Academic Pursuits

Qiu Yue (Sean) began his academic journey with a Bachelor’s degree in Traditional Chinese Medicine from Shandong University of Traditional Chinese Medicine. His passion for integrating modern scientific techniques with traditional medicine led him to pursue a Master’s degree in Modern Methods of Drug Discovery and Development at Shanghai University of Traditional Chinese Medicine. This foundation in both traditional and modern approaches to medicine set the stage for his future research. Furthering his expertise, he obtained a Ph.D. in Computer-Aided and Artificial Intelligence Drug Design from Macau University of Science and Technology. His doctoral research, conducted at Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, focused on using molecular simulations, machine learning, and computational biology to discover and design inhibitors targeting SARS-CoV-2 papain-like protease (PLpro).

🏢 Professional Endeavors

Currently, Dr. Qiu Yue serves as an Assistant Professor at the Institute of Traditional Chinese Medicine Rehabilitation, Jinhua Advanced Research Institute in China. His role spans interdisciplinary fields, integrating natural medicine, computer-aided drug design, biochemistry, molecular biology, and analytical chemistry. Throughout his career, he has combined pharmacology, artificial intelligence, and computational drug design to advance pharmaceutical sciences. His expertise extends to high-throughput virtual screening, molecular docking, pharmacophore mapping, quantum chemical calculations, and ADMET profiling, enabling groundbreaking research in drug discovery.

🔬 Contributions and Research Focus

Dr. Qiu Yue has significantly contributed to drug discovery and computational biology, with a major focus on SARS-CoV-2 research. His work has involved: Identifying cryptic active sites of SARS-CoV-2 papain-like protease (PLpro). Developing inhibitors using molecular dynamics simulations and machine learning models. Bridging traditional Chinese medicine with modern pharmaceutical sciences by integrating computational approaches to study herbal compounds. Beyond virology, his research encompasses molecular docking, virtual screening, QSAR modeling, and pharmacological analysis, aiding in the discovery of new drug candidates for various diseases.

🌍 Impact and Influence

Dr. Qiu Yue’s research has made a global impact, particularly in the field of computational drug design. His work on SARS-CoV-2 inhibitors has been widely recognized, aiding the fight against the pandemic. His ability to integrate AI-driven drug discovery with biological and chemical sciences has set a new benchmark for interdisciplinary research.

📚 Academic Cites

With an increasing number of citations, Dr. Qiu Yue’s publications in molecular simulations, artificial intelligence in drug discovery, and pharmacological modeling continue to gain traction. His collaborations with leading research institutes and universities have further cemented his reputation in computational and pharmaceutical sciences.

💻 Technical Skills

Dr. Qiu Yue is proficient in various drug discovery techniques and computational tools, including:

  • Software & Tools: Schrödinger Maestro, UCSF Chimera, Pymol, AutoDock Vina, GROMACS, AMBER, PLUMED, Rosetta, BIOVIA Pipeline Pilot, Discovery Studio.
  • Programming Languages: Python, R, Perl, HTML, PHP, JavaScript, C++.
  • Scientific Data Retrieval: UniProt, ExPASy, BLAST, Protein Data Bank (PDB).
  • Operating Systems: Mac, Linux, Windows.

🎓 Teaching Experience

As an Assistant Professor, Dr. Qiu Yue has been actively involved in mentoring students and researchers in the fields of: Computer-aided drug design, Machine learning applications in pharmaceutical sciences, Traditional Chinese medicine and pharmacology, Bioinformatics and molecular modeling, His interdisciplinary teaching approach enables students to merge AI techniques with classical pharmacology, preparing them for the future of AI-driven drug discovery.

🔮 Legacy and Future Contributions

Dr. Qiu Yue is shaping the next generation of computational drug discovery by pioneering AI-integrated pharmaceutical research. His ongoing research aims to: Further optimize AI and molecular simulation models for drug discovery. Enhance machine learning techniques to predict drug efficacy and toxicity. Explore new pharmacological applications of Traditional Chinese Medicine. With a strong foundation in computational drug design and artificial intelligence, Dr. Qiu Yue continues to bridge traditional and modern medicine, creating a lasting impact in the field of biopharmaceutical sciences.

📖Notable Publications

In Silico Study of the Acquired Resistance Caused by the Secondary Mutations of KRAS G12C Protein Using Long Time Molecular Dynamics Simulation and …
Authors: G Tu, Q Liu, Y Qiu, ELH Leung, X Yao
Journal: International Journal of Molecular Sciences
Year: 2022

Zhujie Hewei Granules Ameliorated Reflux Esophagitis in Rats
Authors: Y Qiu, J Hu, C Zhao, J Zhang, F Wu, B Ma, Y Feng, K Ruan
Journal: Evidence‐Based Complementary and Alternative Medicine
Year: 2019

Design and Synthesis of Isatin Derivatives as Effective SARS‐CoV‐2 3CL Protease Inhibitors
Authors: HL Bao, G Tu, Q Yue, P Liu, HL Zheng, XJ Yao
Journal: Chemical Biology & Drug Design
Year: 2023

Discovery of the Cryptic Sites of SARS-CoV-2 Papain-Like Protease and Analysis of Its Druggability
Authors: Y Qiu, Q Liu, G Tu, XJ Yao
Journal: International Journal of Molecular Sciences
Year: 2022

Long-Timescale Simulations Revealed Critical Non-Conserved Residues of Phosphodiesterases Affecting Selectivity of BAY60-7550
Authors: Q Liu, M Song, Y Qiu, ELH Leung, Q Huang, X Yao
Journal: Computational and Structural Biotechnology Journal
Year: 2022

Md Ahasan Ahamed | Analytical Chemistry | Analytical Chemistry Award

Published on by Analytical Chemistry

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

Ram Mohan Pathak | Plasma Chemistry | Best Researcher Award

Published on by Analytical Chemistry

Mr. Ram Mohan Pathak | Plasma Chemistry | Best Researcher Award

Indian Institute of Science, Bangalore, India

👨‍🎓Profiles

🎓 Early Academic Pursuits

Ram Mohan Pathak's academic journey began with a B.Tech. (Hons) in Chemical Engineering from Dr. K.N. Modi Institute of Engineering and Technology, affiliated with Dr. A.P.J Abdul Kalam Technical University, where he graduated with honors. He further pursued an M.Tech. in Chemical Engineering at the Indian Institute of Technology (IIT) Dhanbad, achieving an impressive 8.7/10 CGPA. His master's minor project was conducted at the prestigious Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam, Tamil Nadu, India, reflecting his early inclination toward cutting-edge research.

🏆 Professional Endeavors

Currently, a Ph.D. Scholar at the Centre for Sustainable Technologies, Indian Institute of Science (IISc) Bangalore, Ram has been deeply engaged in experimental, engineering, and simulation research. His work explores advanced plasma technologies with applications in energy sustainability and combustion systems. Additionally, he has served as a Teaching Assistant and Senior Research Fellow, contributing to laboratory setup and student mentorship at both IIT Dhanbad and IISc Bangalore.

🔬 Contributions and Research Focus

Ram’s Ph.D. dissertation, set for colloquium in November 2024, focuses on:

Enhanced rotation effects on electrical, optical, and chemical properties of rotating gliding arc nitrogen plasma.

Plasma-assisted combustion for biogas applications in engines.

Influence of transitional and turbulent flow regimes on plasma characteristics.

Impact of carrier gases and flow regimes on hydrocarbon (methane & toluene) reformation/destruction.

His research is highly interdisciplinary, blending chemical engineering, plasma physics, and combustion science for sustainable energy solutions.

🌍 Impact and Influence

Ram’s research in plasma-assisted combustion and sustainable technologies has the potential to revolutionize clean energy production and pollution control strategies. His investigations into plasma flow regimes and hydrocarbon breakdown mechanisms contribute to advancements in alternative energy systems and environment-friendly combustion techniques.

📚 Academic Citations & Recognition

Ram has received the MHRD GATE Scholarship for both his M.Tech. (2017-2019) and Ph.D. (2019-2024) studies, awarded by the Ministry of Human Resource Development, Government of India. His academic excellence and research contributions are recognized nationally through this prestigious funding.

🛠️ Technical Skills

Ram is proficient in:
✅ Plasma Engineering & Diagnostics
✅ Computational Fluid Dynamics (CFD) & Simulation
✅ Design of Experiments & Factorial Analysis
✅ Chemical Kinetics & Reaction Engineering
✅ Instrumentation for Plasma and Combustion Systems

🎓 Teaching Experience

As a Teaching Assistant, Ram has:

  • Conducted laboratory training for B.Tech. students at IIT Dhanbad.
  • Trained project assistants at IISc Bangalore in experimental techniques and plasma technology applications.
  • Taught Factorial Design of Experiments, enhancing student proficiency in research methodology and data analysis.

🔥 Legacy and Future Contributions

Ram Mohan Pathak’s research legacy lies in developing sustainable plasma-based solutions for energy generation and pollutant mitigation. Moving forward, he aims to:

  • Enhance the application of plasma-assisted combustion for renewable energy integration.
  • Advance hydrocarbon destruction techniques for environmental sustainability.
  • Contribute to industrial applications of plasma technologies in energy and chemical sectors.

📖Notable Publications

Tar Formation in Gasification Systems: A Holistic Review of Remediation Approaches and Removal Methods

Authors: A. Jayanarasimhan, R. M. Pathak, A. M. Shivapuji, L. Rao

Journal: ACS Omega

Year: 2024

Chemical Kinetics Simulation of Hydrogen Generation in Rotating Gliding Arc Plasma

Authors: R. M. Pathak, J. Ananthanarasimhan, L. Rao

Journal: IEEE Transactions on Plasma Science

Year: 2022

A Novel Lumped Parameter Approach Toward Understanding Rotating Gliding Arc

Authors: R. M. Pathak, S. Nandi, L. Rao

Journal: IEEE Transactions on Plasma Science

Year: 2024

Enhanced Hydrogen Production Through Enhanced Rotation in Bi-Reforming of Methane Using Rotating Gliding Arc Plasma Under Different Operating Conditions: Experimental and …

Authors: R. M. Pathak, L. Rao

Journal: 2024 IEEE International Conference on Plasma Science (ICOPS)

Year: 2024

The Influence of Vortex Formation on the Electrical Characteristics of Argon Plasma in a Rotating Gliding Arc Discharge

Authors: R. M. Pathak, L. Rao

Journal: Journal of Physics: Conference Series

Year: 2024

Investigating Flow-Induced Changes in Coaxial Cylindrical Dielectric Barrier Discharge Using Equivalent Circuit Modelling and Chemical Workbench Simulations

Authors: R. M. Pathak, J. Ananthanarasimhan, S. Nandi, C. R. Das, L. Rao

Journal: Plasma Chemistry and Plasma Processing

Year: 2025

Samreen Ghulam Rasool | Chromatography | Best Researcher Award

Published on by Analytical Chemistry

Dr. Samreen Ghulam Rasool | Chromatography | Best Researcher Award

East China Normal University, Pakistan

👨‍🎓Profiles

🌱 Early Academic Pursuits

Samreen Ghulam Rasool began her academic journey with a strong foundation in agricultural sciences, focusing on plant-plant interactions. Her M.Sc. (Hons.) research explored the dynamics of foliar-applied mepiquat chloride in cotton under different sowing techniques, providing insights into growth regulation and optimization in cotton farming. This early academic work laid the foundation for her future research in plant ecology and sustainable agriculture.

🏛️ Professional Endeavors

Currently affiliated with East China Normal University, China, Dr. Rasool has dedicated her career to studying ecological responses in plant communities. Her doctoral research examined the chemical and ecological responses of herbaceous plant species interacting with diverse neighbors under heterogeneous conditions, addressing critical challenges in biodiversity conservation and sustainable crop production. She is actively engaged in international collaborations and research projects, contributing to ecological sustainability on a global scale.

🔬 Contributions and Research Focus

Dr. Rasool’s research primarily revolves around plant-plant interactions and their role in mitigating the risks associated with monoculture plantations. Her focus areas include:
✅ Integrated Weed Management Strategies – Developing innovative approaches to control weed infestations in crops.
✅ Enhancement in Crop Productivity – Implementing advanced techniques to maximize agricultural yield.
✅ Sustainable Crop Production – Promoting eco-friendly practices to ensure long-term agricultural sustainability.

Her research projects have received funding from prestigious institutions, including:
📌 Young Scientist Exchange for One Belt and One Road Strategy – Shanghai Science and Technology Commission.
📌 Technology Innovation Center for Land Spatial Eco-Restoration in Metropolitan Areas – Ministry of Natural Resources.
📌 National Key R&D Program of China – Grant Numbers: 2017 YFC 0506002, 2016 YFC 0503102.
📌 State Key Program of the National Natural Science Foundation of China – Grant Number: 32030068.

🌍 Impact and Influence

Dr. Rasool’s work has contributed significantly to understanding ecological interactions among plants, particularly in the context of sustainable agriculture. Her studies help reduce environmental degradation caused by monoculture farming, advocating for diverse cropping systems to enhance biodiversity. Her research plays a pivotal role in shaping policies and best practices for sustainable land use and crop management.

📖 Academic Citations and Publications

Dr. Rasool has made valuable contributions to scientific literature, with:
📚 4 SCI/Scopus-indexed journal publications, showcasing her expertise in plant ecology.
🔬 2 patents, reflecting her innovative approach to sustainable crop production.

🛠️ Technical Skills

Dr. Rasool possesses advanced expertise in:
🔹 Ecological Data Analysis – Assessing plant interactions and their effects on productivity.
🔹 Crop Physiology Techniques – Enhancing plant growth through chemical applications.
🔹 Sustainable Agriculture Practices – Implementing eco-friendly farming techniques.

🎓 Teaching Experience

Dr. Rasool actively engages in academia by mentoring young researchers and guiding them in the field of crop science, ecological restoration, and plant interactions. Her contributions to integrated weed management strategies and sustainable crop production have influenced students and fellow researchers alike.

🌟 Legacy and Future Contributions

With an unwavering commitment to plant ecology and sustainable agriculture, Dr. Rasool envisions a future where scientific advancements contribute to ecological balance and food security. Her research aims to develop innovative strategies for sustainable farming, biodiversity conservation, and climate-resilient agriculture. Through her ongoing research collaborations, publications, and patents, she continues to be a driving force in ecological innovation and plant science.

📖Notable Publications

Herbaceous competition does not affect positive tree diversity effects on seedling crown complementarity

Authors: Samreen Ghulam Rasool

Journal: Forest Ecology and Management

Year: 2025

Do proportions of rooting ramets in the clone affect the overall growth of the stoloniferous clonal plant Zoysia japonica?

Authors: Samreen Ghulam Rasool

Journal: Plant Species Biology

Year: 2024

Relationship between secondary metabolites and insect loads in cabbage with different leaf shapes and positions

Authors: Samreen Ghulam Rasool

Journal: Phytochemicals Analysis

Year: 2024

Pattern of soil extracellular enzyme activities along a tidal wetland with mosaic vegetation distributions in Chongming Island, China

Authors: Samreen Ghulam Rasool

Journal: Journal of Cleaner Production

Year: 2021

 

Yi Zhao | Electrochemistry | Best Researcher Award

Published on by Analytical Chemistry

Prof. Dr. Yi Zhao | Electrochemistry | Best Researcher Award

Beijing University of Chemical Technology, China

👨‍🎓Profiles

👩‍🎓 Early Academic Pursuits

Zhao Yi, born in May 1991 in Xingtai City, Hebei Province, developed an early interest in materials science. She pursued her undergraduate studies at Yanshan University (2010-2014), where she earned a Bachelor of Engineering in Metal Materials under the guidance of Academician Tian Yongjun and Professor Jing Qin. Her passion for materials chemistry led her to Beihang University (BUAA), where she completed her Ph.D. in Materials Physics and Chemistry (2014-2020), supervised by Professor Liu Jinzhang. Her doctoral research laid a strong foundation for her future contributions to energy storage and advanced materials.

💼 Professional Endeavors

After obtaining her Ph.D., Zhao Yi embarked on a postdoctoral fellowship at the School of Materials Science and Engineering, Beijing Institute of Technology (2020-2022), working under the mentorship of Academician Wu Feng and Professor Chen Renjie. In November 2022, she joined the School of Chemistry at Beijing University of Chemical Technology as an Associate Professor. Her career trajectory showcases her dedication to interdisciplinary research and advancing the field of materials science.

🔬 Contributions and Research Focus

Zhao Yi's research primarily focuses on energy storage materials and devices, including aqueous zinc batteries and supercapacitors. She has also made significant advancements in the design of carbon-based organic materials and organic-inorganic composite electrodes. Additionally, her work on fuel cells and catalysts has contributed to the development of high-performance energy solutions. Her research is instrumental in shaping next-generation energy storage and conversion technologies.

🌍 Impact and Influence

As a principal investigator, Zhao Yi has led multiple prestigious projects, including:

  • National Natural Science Foundation of China for Distinguished Young Scholars (2023-2025)
  • Shandong Provincial Natural Science Foundation for Young Scholars (2023-2025)
  • Talent Introduction Project of Beijing University of Chemical Technology (2023-2025)
  • China Postdoctoral Science Foundation General Program (2020-2022, completed)
  • Guangdong Provincial Key Laboratory of Power Battery Safety (2021-2022, completed) Her research contributions have significantly influenced advancements in battery safety and energy storage efficiency.

📚 Academic Citations and Recognitions

Zhao Yi's scholarly work has been widely cited in high-impact journals, reflecting her research's influence in materials science and electrochemistry. She actively collaborates with esteemed academics and institutions, further elevating her standing in the field. Her publications serve as key references for researchers developing next-generation energy solutions.

🛠️ Technical Skills

With expertise in materials characterization and electrochemical analysis, Zhao Yi is proficient in:

  • Scanning Electron Microscopy (SEM)
  • X-ray Diffraction (XRD)
  • Electrochemical Impedance Spectroscopy (EIS)
  • Cyclic Voltammetry (CV)
  • Spectroscopic Techniques (UV-Vis, FTIR, Raman) Her technical acumen enables her to innovate in the fields of battery technology and catalyst development.

🎓 Teaching Experience

As an Associate Professor at Beijing University of Chemical Technology, Zhao Yi is deeply involved in mentoring students and guiding research projects. She integrates her cutting-edge research into her teaching, fostering a new generation of scientists specializing in materials chemistry and energy storage.

🚀 Legacy and Future Contributions

Zhao Yi's research is poised to shape the future of sustainable energy storage and conversion technologies. Her ongoing projects and innovative approaches are expected to contribute significantly to advancements in battery technology, supercapacitors, and fuel cells. With a strong foundation in both fundamental and applied research, she continues to push the boundaries of materials science for a cleaner and more energy-efficient world.

📖Notable Publications

Inhibiting Lattice Distortion of Ultrahigh Nickel Co-Free Cathode Material for Lithium-Ion Batterie

Authors: Y. Shang, Yang; Z. Xu, Zhichao; Y. Bao, Yifan; H. Yang, Huiying; J. Shen, Jixue
Journal: Nano Letters
Year: 2025

Research progress on rechargeable aluminum sulfur (Al-S) batteries based on different electrolyte system

Authors: X. Huo, Xiaogeng; Y. Zhao, Yi; S. Zhang, Shuaitao; Z. Li, Zhanyu; J. Li, Jianling
Journal: Journal of Power Sources
Year: 2025

Synergy of In Situ Heterogeneous Interphases with Hydrogen Bond Reconstruction Enabling Highly Reversible Zn Anode at −40 °C

Authors: A. Zhou, Anbin; H. Wang, Huirong; X. Hu, Xin; F. Wu, Feng; R. Chen, Renjie
Journal: Advanced Functional Materials
Year: 2025

Looking into failure mode identification driven by differential capacity in Ni-rich layered cathodes

Authors: X. Zhang, Xiaodong; E. Fan, Ersha; J. Lin, Jiao; F. Wu, Feng; L. Li, Li
Journal: Energy Storage Materials
Year: 2025

Construction of sub micro-nano-structured silicon-based anode for lithium-ion batteries

Authors: C. Su, Chen; M.S. Kurbanov, M. Sh; Y. Zhao, Yi; C. Zhang, Chengwei; G. Wang, Gongkai
Journal: Nanotechnology
Year: 2024

Yang Yang | Computational Modeling | Best Researcher Award

Published on by Analytical Chemistry

Mr. Yang Yang | Computational Modeling | Best Researcher Award

National University of Sciences & Technology (NUST), China

👨‍🎓Profiles

🌱 Early Academic Pursuits

Yang Yang's academic journey began with a strong foundation in artificial intelligence and data mining. His keen interest in open-world data mining led him to explore innovative methods for handling complex, evolving datasets. As a student, he displayed exceptional analytical abilities and a deep curiosity for AI-driven solutions. This early dedication laid the groundwork for his later contributions to AI research and interdisciplinary applications.

💼 Professional Endeavors

Currently a professor at Nanjing University of Science and Technology, Yang Yang has established himself as a leading researcher in artificial intelligence. His professional journey includes significant contributions to theoretical and applied AI, particularly in the fields of smart agriculture and smart education. As an active member of the IEEE, he has engaged in numerous high-impact projects, shaping the landscape of AI research and its real-world implementations.

🔬 Contributions and Research Focus

Yang Yang specializes in open-environment data mining, addressing key challenges such as modal interaction, decision adaptation, and model evolution. His work has resulted in groundbreaking solutions for reliable multi-modal representation, robust inference decision-making, and continuous evolution modeling. These advancements have significantly improved the robustness of AI models in dynamic environments, making them more adaptable to changes in data features, labels, and content across various tasks. His research has played a pivotal role in enhancing AI-driven decision-making in practical applications.

🌍 Impact and Influence

With an impressive citation index of 1,289, Yang Yang's research has been widely recognized and referenced by esteemed academicians and Fellows of globally renowned societies such as IEEE, ACM, and AAAS. His innovative methodologies have influenced AI research and have been successfully implemented in smart agriculture and smart education, contributing to advancements in precision farming and intelligent learning systems.

📚 Academic Citations and Recognitions

Yang Yang has published 22 papers in top-tier SCI, IEEE, and ACM journals, many of which are considered foundational in open-world data mining. His outstanding contributions earned him the Best Paper Award at ACML 2017, highlighting his excellence in AI research. Additionally, his papers have been referenced in prestigious international journals and conferences, further establishing his authority in the field.

🛠️ Technical Skills

Yang Yang possesses expertise in:
✅ Open-world data mining
✅ AI-driven decision-making models
✅ Multi-modal representation learning
✅ Continuous evolution modeling
✅ Smart agriculture and education applications

His ability to bridge AI theory with practical applications has set new benchmarks in interdisciplinary AI research.

🎓 Teaching Experience

As a professor, Yang Yang is deeply committed to mentoring and guiding students in the fields of AI and data science. His expertise has helped shape the next generation of AI researchers by providing them with a strong foundation in theoretical and applied AI. His involvement in prestigious AI competitions, where he has won 20 championships, further demonstrates his dedication to both learning and teaching.

🔍 Research Projects and Patents

Yang Yang has led several high-profile research projects, including the Young Scientists Project of the National Key Research and Development Program on Autonomous Software for the Application of Scientific Data in Agricultural Breeding. His research has resulted in three patents, showcasing his ability to transform theoretical AI advancements into tangible, real-world innovations.

🚀 Legacy and Future Contributions

Yang Yang’s research continues to push the boundaries of AI by focusing on the development of more adaptive and resilient AI models. His contributions to smart agriculture and smart education are paving the way for future innovations in AI-driven industries. His legacy will be defined by his ability to bridge the gap between theoretical AI research and its practical, real-world applications. Moving forward, he aims to expand his research into more interdisciplinary fields, further enhancing AI's impact on society.

📖Notable Publications

Adaptive deep models for incremental learning: Considering capacity scalability and sustainability
Authors: Y. Yang, D.W. Zhou, D.C. Zhan, H. Xiong, Y. Jiang
Journal/Conference: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
Year: 2019

Complex object classification: A multi-modal multi-instance multi-label deep network with optimal transport
Authors: Y. Yang, Y.F. Wu, D.C. Zhan, Z.B. Liu, Y. Jiang
Journal/Conference: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
Year: 2018

Learning to classify with incremental new class
Authors: D.W. Zhou, Y. Yang, D.C. Zhan
Journal/Conference: IEEE Transactions on Neural Networks and Learning Systems
Year: 2021

Deep learning for fixed model reuse
Authors: Y. Yang, D.C. Zhan, Y. Fan, Y. Jiang, Z.H. Zhou
Journal/Conference: Proceedings of the AAAI Conference on Artificial Intelligence
Year: 2017

Semi-supervised multi-modal multi-instance multi-label deep network with optimal transport
Authors: Y. Yang, Z.Y. Fu, D.C. Zhan, Z.B. Liu, Y. Jiang
Journal/Conference: IEEE Transactions on Knowledge and Data Engineering
Year: 2019