Mr. Ananya Srivastava | Photoacoustics | Best Researcher Award

Mr. Ananya Srivastava | Photoacoustics | Best Researcher Award

Mr. Ananya Srivastava is a dedicated researcher and project leader specializing in microsystems engineering with a focus on acoustic MEMS. He has combined expertise in research, design, and project management, leading multidisciplinary projects across Europe and internationally. His career reflects a strong balance between technical innovation and leadership in scientific research. With contributions spanning MEMS sensor development, optical and acoustic systems, and advanced prototyping, he has been instrumental in advancing sensor technologies. Through his work, he continues to contribute to scientific progress while mentoring young engineers and collaborating with academic and industrial partners worldwide.

Hahn-Schickard-Gesellschaft | Germany

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Education & Training

Mr. Srivastava is pursuing a PhD in Microsystems Engineering at the University of Freiburg, Germany. He holds the Project Management Professional (PMP®) certification from the Project Management Institute and has completed Project Management Training with Alpha Inspiration GmbH / Hahn-Schickard Gesellschaft. He also earned a Master’s degree in Microsystems Engineering from the University of Freiburg and a Bachelor’s degree in Electrical and Electronics Engineering from BMS College of Engineering, Bangalore.

Work Experience

Mr. Ananya Srivastava is working as a Project Leader (PMP®) and Scientific Researcher – Acoustic MEMS at Hahn-Schickard-Gesellschaft, Villingen-Schwenningen. His expertise includes project management of EU and international projects, along with research and development in MEMS and Acoustic MEMS. He is proficient in design of experiments, analytical modelling, numerical and FEM simulations, and also leads readout electronics design and implementation. He manages rapid prototyping, sensor testing, and characterization, while being in charge of the optic and acoustic laboratory. His role extends to mechanical & electrical CAD design, MEMS process flow, layout and mask design, scientific writing, data analysis, and technical collaboration with project partners, as well as supervision of thesis students. Previously, he worked as a Master Thesis Student and R&D Engineer (Intern) at Hahn-Schickard, where he designed and optimized a MEMS-based high-g inertial sensor for crash-test applications. His contributions included concept design, numerical modelling, FEM analysis, layout and process flow design, and development of readout electronics and test setups.

At Robert Bosch GmbH, Reutlingen, he served as a Development and Production Engineer (Intern) in the Automotive Electronics – Inertial Sensors division. He specialized in silicon-based MEMS acceleration sensors, worked with communication protocols and bus systems, and managed design of experiments, automation of measurements (C/MATLAB/LUA), evaluation of test series, and troubleshooting. He also played a key role in guiding and training students. As a Scientific Research Assistant at IMTEK, University of Freiburg, he contributed to the development of a PCR setup under Prof. Dr. Gerald Urban. His responsibilities involved electronics research, thermal cycler development with LabView/Arduino, fluorescent detection metrology, and component assembly. Alongside, he also worked as a Cleanroom Lab Tutor, supervising the PVD module and guiding students in fabrication of platinum-based microheaters using photolithography, etching, patterning, and physical vapor deposition techniques.

Technical Skills

Mr. Srivastava has strong programming experience in Python, MATLAB/Simulink, C, C++, and LUA. He is proficient in project management tools such as MS Project, Atlassian Confluence, Atlassian Jira, GitHub, and MS Office. His hardware expertise includes audio analysers, lock-in amplifiers, impedance analysers, SPI/PSI5 simulators, Raspberry Pi, Arduino, and TECs.      In addition, he is skilled in design and analysis tools like ANSYS Workbench, ANSYS Fluent, Altium Designer, SolidWorks, Layout Editor, Cadence Virtuoso, LTSpice, COMSOL, LabView, and Wolfram Mathematica. His metrology knowledge covers Ellipsometer, LSCOM, XPS, TEM, FTIR, SEM, AFM, and SPR. He also demonstrates proficiency in MS Office and LaTeX, making him highly versatile across technical research, engineering design, and scientific communication.

Notable Publications

Design and characterization of macroscopic indirect photoacoustic gas sensor
Authors: Ananya Srivastava, Yuanji Tian, Achim Bittner, Alfons Dehé
Journal: IEEE Sensors
Year: 2022

Design and Evaluation of a Miniaturized Non-Resonant Photoacoustic CO2 Gas Sensor with Integrated Electronics
Authors: Nan Zhang, Ananya Srivastava, Xiaolin Li, Yuanchun Li, Zhenyue Zhou, Achim Bittner, Xiaofeng Zhou, Alfons Dehe
Journal: IEEE Sensors
Year: 2023

Temporal Behavior Analysis for the Impact of Combined Temperature and Humidity Variations on a Photoacoustic CO₂ Sensor
Authors: Ananya Srivastava, Pranav Sharma, Axel Sikora, Achim Bittner, Alfons Dehé
Journal: IEEE Applied Sensing Conference (APSCON)
Year: 2024

Data-driven modelling of an indirect photoacoustic carbon dioxide sensor
Authors: Ananya Srivastava, Pranav Sharma, Axel Sikora, Achim Bittner, Alfons Dehé
Journal: IEEE Applied Sensing Conference (APSCON)
Year: 2024

Prototyping and Evaluation of 1D Cylindrical and MEMS-Based Helmholtz Acoustic Resonators for Ultra-Sensitive CO2 Gas Sensing
Authors: Ananya Srivastava, Rohan Sonar, Achim Bittner, Alfons Dehé
Journal: Gases
Year: 2025

Conclusion

Mr. Ananya Srivastava’s career demonstrates a strong combination of academic excellence, professional expertise, and research innovation. His role as a project leader highlights his ability to manage complex projects while maintaining a focus on scientific and technical advancements. With his diverse experience in MEMS, acoustic sensing, and advanced metrology, he contributes to bridging the gap between theoretical research and practical applications. His continuous pursuit of knowledge through doctoral research, combined with his professional certifications, reflects his commitment to excellence. He remains a valuable contributor to the field of microsystems engineering, fostering innovation, collaboration, and the training of future engineers.

Liansheng Ling | sensor | Best Researcher Award

Prof. Dr. Liansheng Ling | sensor | Best Researcher Award

Sun Yat-Sen University/School of Chemistry, China

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Academic Background

Lian-Sheng Ling obtained his Ph.D. in Analytical Chemistry from Wuhan University in 2000. He then pursued postdoctoral research at the Institute of Chemistry, Chinese Academy of Sciences (CAS) from 2000 to 2002, followed by another postdoctoral position at the renowned Max Planck Institute for Polymer Research in Mainz, Germany, between 2003 and 2004.

Academic Career

In 2005, he joined the School of Chemistry at Sun Yat-Sen University, where he continued his academic and research journey. Due to his outstanding contributions in the field, he was promoted to Professor of Chemistry in December 2011.

Research Interests

His research is primarily focused on developing biosensing methods for detecting DNA, RNA, and biomarkers related to cancer. To achieve this, he utilizes a combination of advanced techniques, including fluorescence-based sensing, colorimetric detection, and dynamic light scattering (DLS). These innovative approaches aim to provide highly sensitive and specific detection tools for early diagnosis and monitoring of cancers.

Notable Publications


Novel dynamic light scattering immunosensor for prostate specific antigens based upon dual-tyramine signal amplification strategy

Journal: Sensors and Actuators B: Chemical

Year: 2024


Chemical-Chemical Redox Cycle Signal Amplification Strategy Combined with Dual Ratiometric Immunoassay for Surface-Enhanced Raman Spectroscopic Detection of Cardiac Troponin I

Journal: Analytical Chemistry

Year: 2023


Colorimetric and dynamic light scattering dual-readout assay for formaldehyde detection based on the hybridization chain reaction and gold nanoparticles

Journal: Sensors and Diagnostics

Year: 2023


RGB color analysis of formaldehyde in vegetables based on DNA functionalized gold nanoparticles and triplex DNA

Journal: Analytical Methods

Year: 2022


Hybridization chain reaction and DNAzyme-based dual signal amplification strategy for sensitive fluorescent sensing of aflatoxin B1 by using the pivot of triplex DNA

Journal: Food Research International

Year: 2022


CRISPR/Cas12a-based biosensor for colorimetric detection of serum prostate-specific antigen by taking nonenzymatic and isothermal amplification

Journal: Sensors and Actuators B: Chemical

Year: 2022