Inga Christina Miadowicz | Computer Science and Artificial Intelligence | Best Researcher Award

Inga Christina Miadowicz | Computer Science and Artificial Intelligence | Best Researcher Award

Mrs Inga Christina Miadowicz, Deutsches Zentrum fรผr Luft- und Raumfahrt, Germany

Dr. Inga Christina Miadowicz is a dedicated researcher specializing in IT management, industrial autonomy, and solar energy systems. She holds a Masterโ€™s in IT-Management from FOM Mannheim and a Bachelorโ€™s in Applied Computer Science from DHBW Mannheim. Currently a Research Assistant at Deutsches Zentrum fรผr Luft- und Raumfahrt (DLR), she leads projects in autonomous solar power plants and cyber-physical system infrastructures. Her expertise spans software engineering, distributed systems, and performance optimization. As a university lecturer at DHBW Mannheim, she teaches advanced software engineering and distributed systems. Her contributions to solar power plant digitization, industrial autonomy, and energy management have been published in renowned journals and conferences. She is an active participant in cutting-edge research on 5G communication for solar plants. With a strong foundation in IT architecture, cloud computing, and SAP technologies, she continues to drive innovation in the field of renewable energy and digital transformation. ๐Ÿ”ฌโ˜€๏ธ๐Ÿš€

Publication Profile

Orcid

Education

Dr. Inga Christina Miadowicz has a solid academic background in IT management and applied computer science. She earned her Master of Science in IT-Management (2018-2021) from Fachhochschule fรผr Oekonomie und Management (FOM), Mannheim, where she specialized in enterprise IT strategies and digital transformation. Her Bachelor of Science in Applied Computer Science (2013-2016) from Duale Hochschule Baden-Wรผrttemberg (DHBW), Mannheim, provided her with hands-on experience in software development, system architecture, and distributed computing. She completed her Abitur (2004-2013) at Theodor-Fliedner-Gymnasium, Dรผsseldorf, establishing a strong foundation in STEM disciplines. Her commitment to continuous learning is reflected in multiple professional certifications, including Certified Business Professional and Certified Solution Professional (FICO), as well as specialized training in Apache Kafka, SAP HANA, SAPUI5, and OData services. Through her graduate program at DLR (since 2022), she continues to enhance her expertise in advanced IT solutions for industrial applications. ๐Ÿ“š๐Ÿ’ก

Experience

Dr. Inga Christina Miadowicz has extensive experience in IT research, software development, and teaching. Since April 2022, she has been a Research Assistant at DLR (Cologne, Germany), leading projects on autonomous solar power plants and industrial autonomy. She has also served as a university lecturer at DHBW Mannheim (since 2018), teaching distributed systems and software engineering. Previously, she was a Lead Developer at FICO (2019-2022), where she developed anti-money laundering software and optimized performance engineering tools. As a Development Consultant at Slenderiser GmbH (2018-2019), she contributed to SAP S/4HANA transformations. Her tenure at SAP SE (2016-2018) focused on cloud and on-premise solutions for consumer industries. She also gained experience as a Dual Studies developer at ALDI SรœD (2013-2016), working on web and cloud computing solutions. Her diverse expertise in cyber-physical systems, SAP development, and IT architecture makes her a leading researcher in the field. ๐Ÿš€๐ŸŒž

Awards and Honors

Dr. Inga Christina Miadowicz has been recognized for her contributions to IT management, software engineering, and renewable energy research. She was awarded the Chinese Government Scholarship for her exceptional academic achievements. Her graduate program at DLR is a testament to her dedication to cutting-edge industrial research. She has received multiple professional certifications, including Certified Business Professional and Certified Solution Professional (FICO), as well as specialized SAP certifications like C_FIORIDEV_20. Her work on autonomous solar power plants and 5G communication for solar plants has been featured at prestigious conferences like SolarPACES. Her performance engineering contributions at FICO helped optimize anti-money laundering software, earning industry recognition. As a university lecturer, she has mentored numerous students in software development and distributed systems. Her commitment to research, education, and technological advancement positions her as a strong candidate for the Best Researcher Award. ๐ŸŽ–๏ธ๐Ÿ“กโ˜€๏ธ

Research Focus

Dr. Inga Christina Miadowicz focuses on industrial autonomy, digital transformation, and renewable energy optimization. At DLR, she leads research on autonomous solar power plants, developing cyber-physical systems and AI-driven automation for power plant operations. Her work integrates 5G communication networks with solar tower plants, enhancing real-time data processing and remote control capabilities. She specializes in distributed systems, software engineering, and cloud-based industrial solutions, particularly in SAP S/4HANA, Fiori applications, and performance engineering. Her research extends to data-driven hardware sizing tools, automation frameworks, and performance optimization for large-scale infrastructure. Her expertise in cybersecurity, IT architecture, and advanced analytics enables her to drive innovation in industrial digitalization. Through her publications in Solar Energy Advances and SolarPACES Conference Proceedings, she contributes to the advancement of solar energy integration and digital infrastructure for smart grids. Her work bridges the gap between IT, industrial automation, and sustainable energy solutions. ๐ŸŒž๐Ÿ“Š๐Ÿ’ก

Publication Top Notes

๐Ÿ“„ An Action Research Study on the Digital Transformation of Concentrated Solar Thermal Plants โ€“ Solar Energy Advances (2025)
๐Ÿ“„ An Action Research Study on the Digital Transformation of Concentrated Solar Thermal Plants โ€“ Solar Energy Advances (2024-11-19)
๐Ÿ“„ 5G as Communication Platform for Solar Tower Plants โ€“ SolarPACES Conference Proceedings (2024-07-24)
๐Ÿ“„ 5G as Communication Platform for Solar Tower Plants โ€“ SolarPACES Conference Proceedings (2024-07-24, DOI: 10.52825/solarpaces.v2i.858)
๐Ÿ“„ 5G as Communication Platform for Solar Tower Plants โ€“ 29th International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2023

Abdul Aziz | Computer Science and Artificial Intelligence | Best Researcher Award

Abdul Aziz | Computer Science and Artificial Intelligence | Best Researcher Award

Mr Abdul Aziz, Khulna University of Engineering & Technology, Bangladesh

๐Ÿง‘โ€๐Ÿซ Abdul Aziz is an Assistant Professor at Khulna University of Engineering & Technology (KUET), specializing in computer science and engineering. With a passion for deep learning ๐Ÿค–, fuzzy logic, and smart city innovations ๐ŸŒ†, he has presented at major conferences like ICCIT and BIM. A recipient of the Vice-Chancellor Award ๐Ÿ… and a University Gold Medalist ๐Ÿฅ‡, Abdul’s research focuses on AI-driven solutions for real-world problems. His notable works include danger detection for women and children and risk evaluation of hazardous chemicals. Dedicated to education and research, he inspires future engineers at KUET. ๐Ÿ“šโœจ

Publication Profile

Scopus

Academic Qualifications

Mr. Abdul Aziz is an accomplished computer science professional with a strong academic background ๐ŸŽ“. He earned his Master of Science in Computer Science & Engineering from Khulna University of Engineering & Technology (KUET) in 2022, achieving a CGPA of 3.75/4.00 ๐Ÿ’ป. Previously, he completed his Bachelor of Science at KUET in 2017 with an outstanding CGPA of 3.92/4.00, securing 1st place among 59 students and topping the EEE Faculty ๐Ÿ†. His academic journey began at Shahid Syed Nazrul Islam College, where he completed his Higher Secondary Certificate in 2012 ๐Ÿ“š. Abdul Aziz exemplifies dedication and excellence in his field.

Professional Experiences

Mr. Abdul Aziz is an accomplished academic in computer science, currently serving as an Assistant Professor at Khulna University of Engineering & Technology (KUET) since December 2020 ๐ŸŽ“๐Ÿ’ป. He began his journey at KUET as an Adjunct Faculty (Lecturer) in August 2017 and later became a Lecturer from January 2018 to December 2020 ๐Ÿ“š. Prior to this, he contributed to Northern University of Business and Technology Khulna (NUBTK) as a Lecturer from July to December 2017 ๐Ÿซ. With a strong dedication to education and research, Mr. Aziz continues to shape future engineers and drive innovation in computer science ๐Ÿš€๐Ÿ”.

Achievements, Awards, and Certifications

Mr. Abdul Aziz is a distinguished academic and researcher recognized for his outstanding achievements๐Ÿ…. In 2024, he received the Vice-Chancellor Award for High Impact Research Journal Publication๐Ÿ“š. He was the University Gold Medalist in 2018 for securing 1st position in his graduating class๐Ÿฅ‡. From 2013 to 2016, Abdul earned the University Vocational Scholarship and the Deanโ€™s Award for ranking among the top 10% of students for four consecutive years๐Ÿ†. His programming skills were highlighted in 2014 when he secured 3rd place in one intra-batch contest and 1st place in another๐Ÿ’ป๐Ÿฅ‡.

Membership

Mr. Abdul Aziz is a passionate coach, mentor, and trainer in programming and technology ๐Ÿ’ป. Since 2018, he has coached 25+ teams for ICPC regionals, National Girls Programming Contests, and university competitions. He led the KUET_Effervescent team to the 48th ICPC World Finals in Astana, Kazakhstan (2024) ๐Ÿ†. Aziz serves as an Associate Member of the Institution of Engineers, Bangladesh โš™๏ธ and reviews international conferences. As a trainer for BDSET and ITEE programs, he uplifts digital skills ๐Ÿ“Š. He also organized major events like BitFest 2019 and NHSPC, mentoring future innovators. His journey began as a debate champion ๐ŸŽค.

Academic Projects

Mr. Abdul Aziz has undertaken diverse academic projects during his undergraduate studies at KUET. In his 3rd semester (2014), he developed a Java-based smart home automation desktop app ๐Ÿ ๐Ÿ’ป. In the 4th semester (2014-2015), he created a medical center automation website using PHP, HTML, and MySQL for doctor-patient communication ๐Ÿฅ๐ŸŒ. His 5th semester (2015) featured hospital DBMS design with PL/SQL and Oracle ๐Ÿ“Š. By the 6th semester (2015-2016), he built an Android app for real-time object tracking ๐Ÿ“ฑ๐Ÿ—บ๏ธ and a keypad/Bluetooth-controlled LCD display project using Arduino ๐Ÿ“Ÿ๐Ÿ”ท. In his final semester, he developed a 3D car racing game with C++ and OpenGL ๐Ÿš—๐ŸŽฎ.

Research Focus

Abdul Aziz’s research focuses on applying deep learning ๐Ÿค–, signal processing ๐ŸŽต, and fuzzy logic ๐Ÿ”ข to develop innovative solutions in safety, smart cities ๐ŸŒ†, and mobile applications ๐Ÿ“ฑ. His work spans danger detection for women and children ๐Ÿšจ, city service task distribution ๐Ÿ™๏ธ, and chemical risk evaluation ๐Ÿงช. Additionally, Aziz explores advanced error detection and correction in computing ๐Ÿ’ป. His contributions aim to enhance public safety, improve urban services, and boost system reliability. With publications in top-tier journals ๐Ÿ†, his research bridges technology and real-world applications, fostering smarter and safer environments.

Publication Top Notes

DangerDet: A mobile application-based danger detection platform for women and children using deep learning

ShopiRound: An Android application-based e-commerce system to find products nearby using travelling salesman problem

A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages

Multi-bit error detection and correction technique using HVDK (Horizontal-Vertical-Diagonal-Knight) parity

CitySolution: A complaining task distributive mobile application for smart city corporation using deep learning