Jeanetta Zotter, MBA, B.Sc. (PhD Candidate), is an accomplished Sales Leader and Entrepreneur with a remarkable 13 years of experience in the Tech Start-Up Industry. Known for her expertise in international sales, Jeanetta has successfully navigated the complexities of both start-up ventures and large corporations, driving revenue growth and forging strategic partnerships across global markets.
With a strong academic background, Jeanetta holds a Master of Business Administration (MBA) in Engineering Management International from Wilhelm Büchner Hochschule. During her studies, she excelled academically, achieving an outstanding grade of A. Her master's thesis focused on "Cloud Migration and Cloud Adoption," exploring the impact of cloud computing technology on customer experience. Additionally, she conducted an in-depth study on the implementation of AI in the retail sector, demonstrating her multidisciplinary approach and expertise in computer science.
Jeanetta's pursuit of knowledge led her to Loughborough University, where she embarked on a part-time overseas PhD program in Computer Science and Manufacturing Engineering. Her research project centres around "IoT delivered Data powered by the insights from AI for Cloud-Assisted Smart Factory," specifically focusing on aerospace manufacturing, particularly Airbus. Under the guidance of her supervisors, Professor Roy Kalawsky (Airbus Research Chair) and Dr Konstantinos Kyriakopoulos, Jeanetta is dedicated to advancing the field and exploring the potential of IoT and AI in optimizing manufacturing processes.
Prior to her master's and PhD studies, Jeanetta obtained a Bachelor of Science degree in Mechatronics, Robotics, and Automation from Fachhochschule Wiener Neustadt. Her bachelor's thesis delved into aerospace engineering, specifically the static investigation of needle emitters for ion engines. Jeanetta also specialized in nanotechnology, expanding her knowledge and skills in this rapidly evolving field.
With her extensive experience and expertise, Jeanetta is highly knowledgeable in various areas, including AI/ML, business intelligence (BI), manufacturing, data analytics, and industrial IoT. She understands industry trends and leverages her technical background to drive innovation and create value for organisations.
Outside of her professional pursuits, Jeanetta leads a vibrant and active lifestyle. She is a passionate Salsa and Bachata dancer, finding joy and expression on the dance floor. She also enjoys running, spending time in nature, and travelling around the globe. Having lived in multiple countries, including the USA, Austria, Germany, Switzerland, Brazil, Costa Rica, and Singapore, Jeanetta has developed a deep appreciation for different cultures. Working with diverse cultures is her biggest passion and motivator, allowing her to embrace new perspectives, foster connections, and contribute to global collaboration.
Jeanetta Zotter's unique combination of business acumen, technical expertise, research acuity, and cultural appreciation positions her as a well-rounded professional capable of making a significant impact in the global tech industry. Her passion for technology, drive for success, and love for cultural exploration continue to shape her career trajectory and enrich her personal experiences.
Title of thesis: IoT delivered Data powered by the insights from AI for Cloud-Assisted Smart Factory
Jeanetta Zotter, MBA, B.Sc. (PhD Researcher), is a highly motivated and talented PhD researcher in the field of IoT and AI, dedicated to advancing cloud-assisted smart factories. Under the expert guidance of Professor Roy Kalawsky, Airbus Research Chair, and Dr Konstantinos Kyriakopoulos, she is actively involved in a groundbreaking research project that focuses on leveraging IoT-delivered data empowered by insights from AI.
With a strong educational foundation, Jeanetta holds an impressive combination of a Bachelor of Science degree and an MBA. Her diverse academic background equips her with a multidimensional perspective, enabling her to approach complex research problems with a holistic and strategic mindset.
Jeanetta's current research project revolves around the development and implementation of innovative solutions for cloud-assisted smart factories. Specifically, as a PhD researcher, she is investigating how IoT-generated data can be harnessed and analyzed using advanced artificial intelligence techniques to optimize factory operations, enhance productivity, and drive overall efficiency.
Jeanetta demonstrates exceptional research skills and a deep understanding of cutting-edge technologies. She is passionate about exploring the potential of IoT and AI to revolutionize the manufacturing industry and bring about transformative changes. Her dedication to pushing the boundaries of knowledge and her commitment to making a tangible impact on industrial processes are evident in her work.
Under the guidance and mentorship of Professor Roy Kalawsky, an eminent authority in the field of aerospace research and the Airbus Research Chair, and Dr Konstantinos Kyriakopoulos, a distinguished expert in the domain, Jeanetta is consistently challenged to explore innovative approaches and contribute to the advancements of cloud-assisted smart factories.
Beyond her research endeavours, Jeanetta actively engages in scholarly activities, including publishing research papers and presenting her findings at conferences. Her contributions to the academic community help foster knowledge exchange and drive progress in the field.
With her strong academic background, unwavering enthusiasm, and commitment to excellence, Jeanetta is poised to make significant contributions to the field of IoT and AI in the context of cloud-assisted smart factories. Her passion for research, combined with the guidance and support of her esteemed mentors, positions her as a rising star in the industry.
Supervisors: Professor Roy Kalawsky and Dr Konstantinos Kyriakopoulos