Common use of Key Person Clause in Contracts

Key Person. Prof. Dr.-Ing. habil. Xxxxxxx Xxxxxx obtained the Dipl.-Ing. degree from Stuttgart University in 1982. He joined the Fraunhofer-Institute in Stuttgart as a researcher in the department of advanced information and communication technologies and received the Dr.-Ing. degree in 1986 in the area of automatic speech recognition. From 1986 to 1988 he worked as postdoctoral fellow at IBM T.J. Xxxxxx Research centre in Yorktown Heights/USA on the IBM Xxxxxxx speech recognition system. He received the Dr.-Ing. habil. degree in 1991 from Stuttgart University with a thesis in speech synthesis. From 1991 to 1993 he worked as guest researcher in the framework of the EC Scientific Training Programme in Japan for the NTT Hu- man Interface Laboratories in Tokyo, in the area of neural networks and hybrid speech recognition systems. In 1993 he was appointed to full professor of computer science at Xxxxxxx-Xxxxxxxx-University in Xxxx- xxxx, Germany. His research interests are in the field of human-machine-communication and multimedia information processing, covering areas such as speech and handwriting recognition, gesture recognition, face detection and identification, person tracking, image retrieval and video-indexing. Xx. Xxxxxx is a Se- nior Member of the IEEE and is the author and co-author of more than 150 papers in the field of pattern recognition, covering all the previously mentioned application areas. He serves as reviewer for the IEEE Transactions on Speech and Audio Processing, on Neural Networks, and on Pattern Analysis and Machine Intelligence and has served as session chairman and member of the programme committee for numerous international conferences. He has been involved in various ESPRIT projects, and has been active for the last 6 years as project reviewer in several different EU projects and as EU proposal evaluator in the 4th and 5th framework programmes since 1995. In 2001, Xxxx. Xxxxxx has been offered the position of heading the institute for Human-Machine Communication of Technische Universita¨t Mu¨nchen (TUM) and will join TUM in early 2002. IDIAP: DALLE MOLLE INSTITUTE FOR PERCEPTUAL ARTIFICIAL INTELLIGENCE, MARTIGNY, CH The Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP, xxxx://xxx.xxxxx.xx), located in Martigny (Valais, Switzerland), is a not-for-profit research institute affiliated with the Swiss Federal Insti- tute of Technology in Lausanne (EPFL) and the University of Geneva. With an exceptional track record in quality research and publications in the fields of speech processing, computer vision and machine learning, IDIAP currently numbers around 35-40 scientists, including permanent staff, postdoctoral fellows, PhD students, and short-term to medium-term visitors. More recently, IDIAP was also selected for long-term funding as the “Leading House” of a National Center of Competence in Research (NCCR) in the field of “Interactive Multimodal Information Management”, thus clearly acknowledging its excellence in its areas of competence. Focusing on a few, well defined, research axes along the general theme of multimodal interaction, IDIAP carries out fundamental research and develops prototype systems along three complementary directions:

Key Person. Prof. Dr.-Ing. habil. Xxxxxxx Xxxxxx obtained the Dipl.-Ing. degree from Stuttgart University in 1982. He joined the Fraunhofer-Institute in Stuttgart as a researcher in the department of advanced information and communication technologies and received the Dr.-Ing. degree in 1986 in the area of automatic speech recognition. From 1986 to 1988 he worked as postdoctoral fellow at IBM T.J. Xxxxxx Research centre in Yorktown Heights/USA on the IBM Xxxxxxx speech recognition system. He received the Dr.-Ing. habil. degree in 1991 from Stuttgart University with a thesis in speech synthesis. From 1991 to 1993 he worked as guest researcher in the framework of the EC Scientific Training Programme in Japan for the NTT Hu- man Interface Laboratories in Tokyo, in the area of neural networks and hybrid speech recognition systems. In 1993 he was appointed to full professor of computer science at Xxxxxxx-Xxxxxxxx-University in Xxxx- xxxx, Germany. His research interests are in the field of human-machine-communication and multimedia information processing, covering areas such as speech and handwriting recognition, gesture recognition, face detection and identification, person tracking, image retrieval and video-indexing. Xx. Xxxxxx is a Se- nior Member of the IEEE and is the author and co-author of more than 150 papers in the field of pattern recognition, covering all the previously mentioned application areas. He serves as reviewer for the IEEE Transactions on Speech and Audio Processing, on Neural Networks, and on Pattern Analysis and Machine Intelligence and has served as session chairman and member of the programme committee for numerous international conferences. He has been involved in various ESPRIT projects, and has been active for the last 6 years as project reviewer in several different EU projects and as EU proposal evaluator in the 4th and 5th framework programmes since 1995. In 2001, Xxxx. Xxxxxx has been offered the position of heading the institute for Human-Machine Communication of Technische Universita¨t Mu¨nchen (TUM) and will join TUM in early 2002. IDIAP: DALLE MOLLE INSTITUTE FOR PERCEPTUAL ARTIFICIAL INTELLIGENCEDalle Molle Institute for Perceptual Artificial Intelligence, MARTIGNYMartigny, CH The Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP, xxxx://xxx.xxxxx.xx), located in Martigny (Valais, Switzerland), is a not-for-profit research institute affiliated with the Swiss Federal Insti- tute of Technology in Lausanne (EPFL) and the University of Geneva. With an exceptional track record in quality research and publications in the fields of speech processing, computer vision and machine learning, IDIAP currently numbers around 35-40 scientists, including permanent staff, postdoctoral fellows, PhD students, and short-term to medium-term visitors. More recently, IDIAP was also selected for long-term funding as the “Leading House” of a National Center of Competence in Research (NCCR) in the field of “Interactive Multimodal Information Management”, thus clearly acknowledging its excellence in its areas of competence. Focusing on a few, well defined, research axes along the general theme of multimodal interaction, IDIAP carries out fundamental research and develops prototype systems along three complementary directions: