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Industrial AI, IOT and Automation

Qualified Expert Professionals

Our Team

Our dedicated team of industrial experts, data scientists, software developers, engineers and senior academics collaborates with other industrial partners and academia to bridge the gap between cutting-edge research and industries to drive innovation, and contribute significantly to the growth of economies and societies.

Professor Dr Rahat Iqbal

Managing Director

Professor Dr Rahat Iqbal is a Senior Academic, Director, Inventor and Consultant with 20 years’ experience in industrial and academic roles. He previously worked in University of Dubai, and led the Connected Mobility Research Group in the Institute of Future Transport and Cities (IFTC). Professor Iqbal has supervised to completion 21 PhD students and examined 22 doctorate thesis. He has published more than 150 papers in international journals, conferences and books. He has edited several special issues of international journals and workshop proceedings. His work has resulted in high profile innovation awards, prestigious grants and 5 technology patents of high industrial uptake. Professor Iqbal has led projects funded through the Newton Fund, Conacyt, Innovate UK, Engineering and Physical Sciences Research Council (EPSRC), European Commission, European Regional Development Fund (DRDF) and Harvard University in collaboration with industry, governmental organisations and academic partners. Professor Iqbal has secured over £6 million for research innovation and commercial projects from various funding agencies.

Tomasz Maniak

Chief Technology Officer (CTO)

Experienced CTO with a demonstrated history of working in computer software, enterprise system design and implementation, big data analytics, AI, machine/deep learning, IoT, robotics, computer vision and automation. Have successfully managed and delivered over 30 high profile commercial projects. Expert in deep learning, computational neuroscience, quantum computing, machine learning, distributed/big data processing, embedded software development, Python, C/C++, automotive engineering and full-stack web development. Have successfully applied state of the art machine/deep learning techniques to many challenging real word problems. An inventor on three patents related to machine/deep learning. Strong data science and software engineering professional with a PhD focused on Deep Learning, AI and computer software from Coventry University. Has a long-proven experience in applied research, deep learning, software development, automation and vision inspection. Published a number of articles in high impact scientific journals and attended a number of conferences. Passionate problem solver, fast learner, and a competitive goal achiever.

Dr Charalampos Karyotis

Research Director

Dr Charalampos Karyotis is Research Director at Interactive Coventry with over a decade of industrial experience. Specializing in AI technologies, Dr Karyotis has successfully led the commercialization of innovative products, securing over 1 million in public funding. His role encompasses the development and implementation of intelligent solutions for real-world challenges. Holding a PhD in Affective Computing from Coventry University and an MSc in signal processing for the University of Athens, he has made significant contributions to the field, authoring over 15 scientific articles. His research interests extend to machine learning, smart cities, quantum computing and IoT with a focus on rapid prototype development. His academic journey includes positions as a lecturer and teaching assistant at Metropolitan College Greece and the National University of Athens.

Dr Elena Aloupogianni

lead engineer for computer vision and ai

Dr Eleni Aloupogianni is an experienced engineer for computer vision and AI at Interactive Coventry. She is leading projects in smart city, industrial automation and generative AI. She obtained a PhD when working with Obi laboratory, in Tokyo Institute of Technology. Her research revolves around multi-spectral images and their use in the macropathology medical field. She is proficient in Python, R, SQL, machine learning statistical modeling. She has worked on financial analysis application using deep learning based approaches. At Interactive Coventry she has delivered projects in the area of anomaly detection using AI and industrial computer vision.

Vasiliki Santikou MSc

research associate

Dr Eleni Aloupogianni is an experienced engineer for computer vision and AI at Interactive Coventry. She is leading projects in smart city, industrial automation and generative AI. She obtained a PhD when working with Obi laboratory, in Tokyo Institute of Technology. Her research revolves around multi-spectral images and their use in the macropathology medical field. She is proficient in Python, R, SQL, machine learning statistical modeling. She has worked on financial analysis application using deep learning based approaches. At Interactive Coventry she has delivered projects in the area of anomaly detection using AI and industrial computer vision.

Dr Zahid Mumtaz

Strategic Partnerships and Development Manager, Australia region

Dr. Zahid Mumtaz is a seasoned professional specializing in strategic partnerships and business development. With extensive experience in fostering collaborative relationships and driving growth, Dr. Mumtaz plays a pivotal role in expanding our organization’s presence in the Australia region.

His expertise spans across identifying key opportunities, building impactful alliances, and delivering tailored solutions that align with client and organizational goals. Dr. Mumtaz’s commitment to excellence and innovation ensures sustainable growth and a competitive edge in the industry.

Based in Australia, he is dedicated to creating value-driven partnerships and unlocking new opportunities for success.

Sana Ul Haq

Business development Manager, UAE region

Sana Ulhaq is the Business Development Manager at Iris Automation FZCO, driving growth since November 2023. With over five years of experience in business development, beginning in 2021, Sana brings extensive expertise in AI-powered solutions, including industrial automation, object detection, fault detection, and OCR. With a strong ability to build lasting relationships and understand client needs, Sana plays a key role in delivering customized, high-impact solutions that optimize operational performance and drive business success. His dedication to integrating cutting-edge technologies enables organizations to achieve sustainable growth, enhance efficiency, and maintain a competitive edge in the industry.

Mark Schneider

business development manager

Mark Schneider has over 25 years’ experience of managing complex projects and services involving multi-partners and stakeholders in the UK, Europe and China. His involvement in all these activities has always been positive and helped to ensure successful delivery against targets, within budget and agreed timescales. He has worked extensively with large and small businesses, particularly in the field of business support and improvement, technology transfer and innovative product and technology development. He has consistently enhanced the quality of services, projects and companies he has supported through the implementation of effective processes, systems, and training.

Akshay Mohan Nair

research fellow

Akshay Mohan Nair is an accomplished computer science professional with a Master’s in Applied AI from Essex University and Currently pursing his PhD from Nottingham Trent University. His expertise spans computer vision and fuzzy logic, demonstrated through his dissertation on road anomaly detection. Contributing actively to international smart city projects , he has a strong background in AI, computer vision, and network technologies. Passionate about the convergence of AI, Quantum, and 6G technologies, Akshay is a dedicated Data Scientist with two years of hands-on experience in various AI and ML algorithms. His dynamic approach and commitment position him as a key player in the ever-evolving landscape of artificial intelligence and real-world urban applications.

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