[et_pb_section fb_built=”1″ admin_label=”Header” _builder_version=”4.23.1″ _module_preset=”default” background_color=”#515D6C” custom_padding=”0px||0px||true|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px||0px||true|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”150px||||false|false” custom_padding_tablet=”30px||||false|false” custom_padding_phone=”20px||||false|false” custom_padding_last_edited=”on|phone” global_colors_info=”{}”][et_pb_text _builder_version=”4.23.1″ _module_preset=”e598b17a-9229-42f6-b238-019d6094332e” header_font=”Raleway|500|||||||” header_text_color=”#FFFFFF” header_font_size=”60px” header_line_height=”1.15em” hover_enabled=”0″ header_font_size_tablet=”40px” header_font_size_phone=”24px” header_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}” sticky_enabled=”0″]

PhD Supervision

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As an industry partner with the UKRI Centre for Doctoral Training in Artificial Intelligence and Music, DAACI team members Doon and Nadine supervise two PhD students at the AIM course along with Prof. Geraint Wiggins and Prof. Simon Dixon.

The four year PhD AIM course is based at Queen Mary University of London and focuses on developing cutting-edge research in the Music/Audio Technology and Creative Industries.

[/et_pb_text][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ admin_label=”About” _builder_version=”4.23.1″ _module_preset=”default” background_color=”#273341″ min_height=”486.4px” custom_padding=”0px||0px||true|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.23.1″ _module_preset=”default” min_height=”587.3px” custom_margin_tablet=”0px||||false|false” custom_margin_last_edited=”off|desktop” custom_padding=”0px||0px||true|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_column type=”1_2″ _builder_version=”4.23.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_image src=”https://daaci.com/wp-content/uploads/2024/04/Dr-Nadine-Kroher-Headshot-scaled.jpg” title_text=”Dr Nadine Kroher Headshot” align=”right” _builder_version=”4.23.1″ _module_preset=”default” background_enable_image=”off” custom_margin=”|||-10vw|false|false” custom_padding=”||0%||false|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][/et_pb_image][/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”100px||30px||false|false” custom_padding_tablet=”30px||30px||true|false” custom_padding_phone=”” custom_padding_last_edited=”on|phone” global_colors_info=”{}”][et_pb_text _builder_version=”4.23.1″ _module_preset=”003e9429-8e11-4d9e-968b-8881092bbf81″ text_font=”Raleway||||||||” text_text_color=”#FFFFFF” header_text_color=”#FFFFFF” header_2_font=”Raleway|500|||||||” header_2_text_color=”#FFC90A” header_2_font_size=”40px” header_2_line_height=”1.2em” custom_margin=”||0px||false|false” hover_enabled=”0″ header_2_font_size_tablet=”30px” header_2_font_size_phone=”20px” header_2_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}” sticky_enabled=”0″ custom_padding=”||77px|||”]

Dr Nadine Kroher

Nadine’s PhD in Applied Mathematics specialises in machine learning and pattern recognition for content-based music analysis. Her work at tmc2 addresses challenging AI problems in a variety of areas, including computer vision, machine listening, time series prediction and generative neural networks. She holds several patents in the field and has co-authored numerous journal publications and conference papers.

As well as her PhD, Nadine has a BSC and MSc in Electrical and Audio Engineering, a further MSc in Sound and Music Computing, and is a former employee of the Music Technology Group, Pompeu Fabra University, where she worked on audio analysis, pattern recognition, and machine learning. Occasionally, she composes abstract electro-acoustic music and designs electronic music instruments.

[/et_pb_text][et_pb_testimonial author=”Dr Nadine Kroher” _builder_version=”4.23.1″ _module_preset=”default” job_title=”PhD Supervisor” company_name=”DAACI” body_text_color=”#000000″ author_text_color=”#000000″ position_text_color=”#000000″ company_text_color=”#000000″ hover_enabled=”0″ sticky_enabled=”0″ min_height=”169px” alt=”Nadine Kroher” title_text=”Dr Nadine Kroher Headshot” quote_icon_color=”#000000″]

“From my own experience during my PhD program, I know how important guidance and supervision is and it is an honour for me to contribute to this process. I really enjoy seeing Adam and Tyler advance on their journey and grow as researchers.”

[/et_pb_testimonial][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ admin_label=”About” _builder_version=”4.23.1″ _module_preset=”default” background_color=”#000000″ min_height=”486.4px” custom_padding=”50px||50px||true|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.23.1″ _module_preset=”default” min_height=”587.3px” custom_margin_tablet=”0px||||false|false” custom_margin_last_edited=”off|desktop” custom_padding=”0px||0px||true|false” hover_enabled=”0″ global_colors_info=”{}” module_alignment=”center” sticky_enabled=”0″][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_text _builder_version=”4.23.1″ _module_preset=”003e9429-8e11-4d9e-968b-8881092bbf81″ text_font=”Raleway||||||||” text_text_color=”#FFFFFF” header_text_color=”#FFFFFF” header_2_font=”Raleway|500|||||||” header_2_text_color=”#FFC90A” header_2_font_size=”40px” header_2_line_height=”1.2em” custom_margin=”||0px||false|false” hover_enabled=”0″ header_2_font_size_tablet=”30px” header_2_font_size_phone=”20px” header_2_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}” sticky_enabled=”0″ custom_padding=”||77px|||” min_height=”535.2px”]

Dr Doon MacDonald

Dr Doon MacDonald holds a PhD in Computer Science and Electronic Engineering from Queen Mary University of London. Her PhD involved the unique design of a ground-breaking toolkit to explore the influence of soundtrack composition on auditory display design.

Doon gained a Masters in Composing for Film and Media and Studio Composition, with Distinction, where she explored human interaction on the composition of film soundtrack. She has also completed a post-doc at Swansea University within theEPSRC Digital Economy Hub.

Doon has worked as a researcher with the V2 institute for the unstable media in Rotterdam on the design and application of a spatial audio sound mixer. Doon has collaborated with Volvo car group on sound design for autonomous driving.

[/et_pb_text][et_pb_testimonial author=”Dr Doon MacDonald” _builder_version=”4.23.1″ _module_preset=”default” job_title=”PhD Supervisor” company_name=”DAACI” body_text_color=”#000000″ author_text_color=”#000000″ position_text_color=”#000000″ company_text_color=”#000000″ hover_enabled=”0″ sticky_enabled=”0″ min_height=”169px” alt=”Nadine Kroher” title_text=”Dr Nadine Kroher Headshot” quote_icon_color=”#000000″]

“I really enjoy supervising the students from the AIM course at QMUL. Being alumni myself it feels great to be able to give back.

I love the challenges and affordances that come from working on Industrial PhDs”

[/et_pb_testimonial][/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”100px||30px||false|false” custom_padding_tablet=”30px||30px||true|false” custom_padding_phone=”” custom_padding_last_edited=”on|phone” global_colors_info=”{}”][et_pb_image src=”https://daaci.com/wp-content/uploads/2024/04/Dr-Doon-MacDonald-Headshot.png” title_text=”Dr Doon MacDonald Headshot” align=”right” _builder_version=”4.23.1″ _module_preset=”default” background_enable_image=”off” custom_margin=”|||0vw|false|false” custom_padding=”||||false|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″ show_bottom_space=”off” module_alignment=”right” force_fullwidth=”on”][/et_pb_image][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ admin_label=”About” _builder_version=”4.23.1″ _module_preset=”default” background_color=”#273341″ min_height=”486.4px” custom_padding=”0px||0px||true|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.23.1″ _module_preset=”default” min_height=”587.3px” custom_margin_tablet=”0px||||false|false” custom_margin_last_edited=”off|desktop” custom_padding=”0px||0px||true|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_column type=”1_2″ _builder_version=”4.23.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_image src=”https://daaci.com/wp-content/uploads/2024/04/Tyler-Macintosh-Headshot.webp” title_text=”Tyler Macintosh Headshot” align=”right” _builder_version=”4.23.1″ _module_preset=”default” background_enable_image=”off” custom_margin=”|||-10vw|false|false” custom_padding=”||0%||false|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][/et_pb_image][/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”100px||30px||false|false” custom_padding_tablet=”30px||30px||true|false” custom_padding_phone=”” custom_padding_last_edited=”on|phone” global_colors_info=”{}”][et_pb_text _builder_version=”4.23.1″ _module_preset=”003e9429-8e11-4d9e-968b-8881092bbf81″ text_font=”Raleway||||||||” text_text_color=”#FFFFFF” header_text_color=”#FFFFFF” header_2_font=”Raleway|500|||||||” header_2_text_color=”#FFC90A” header_2_font_size=”40px” header_2_line_height=”1.2em” custom_margin=”||0px||false|false” hover_enabled=”0″ header_2_font_size_tablet=”30px” header_2_font_size_phone=”20px” header_2_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}” sticky_enabled=”0″ custom_padding=”||77px|||”]

Tyler McIntosh

Title: Ensemble Performance Synthesis for Automatic Music Generation Systems

Summary: Musicians manipulate musical elements like timing, dynamics, and articulation to convey emotion and shape phrasing when performing music. This research project focuses on capturing, understanding, and replicating the art of expressive performance in ensemble music with multiple interacting instrument voices, developing a novel method for modelling multitrack music data that is computationally efficient and musically meaningful.

[/et_pb_text][et_pb_testimonial author=”Tyler McIntosh” _builder_version=”4.23.1″ _module_preset=”default” job_title=”PhD Student” company_name=”DAACI” body_text_color=”#000000″ author_text_color=”#000000″ position_text_color=”#000000″ company_text_color=”#000000″ hover_enabled=”0″ sticky_enabled=”0″ min_height=”169px” alt=”Nadine Kroher” title_text=”Dr Nadine Kroher Headshot” quote_icon_color=”#000000″]

“Working with DAACI as an industry sponsor for this project has been a fantastic experience. From the outset, their team has provided insightful guidance and feedback that helped shape my research objectives and ensure my work was tackling real-world challenges faced by the industry. Their technical expertise has been an invaluable asset to this work, and the opportunity to present my work internally and get feedback from seasoned professionals has supported by professional development immeasurably.”

Adam He

Title: Human-AI Meta-Composition: Musicology-Based Co-Creative Framework for Music Evolution

Summary: We believe the future of Artificial Musical Intelligence (AMI) lies in catalysing human agency to explore musicological knowledge and compositional techniques.

This project is therefore to unify the principles of human-AI co-creativity and musicological exploration, aiming to devise a meta-level paradigm for music composition.

[/et_pb_text][et_pb_testimonial author=”Adam He” _builder_version=”4.23.1″ _module_preset=”default” job_title=”PhD Student” company_name=”DAACI” body_text_color=”#000000″ author_text_color=”#000000″ position_text_color=”#000000″ company_text_color=”#000000″ hover_enabled=”0″ sticky_enabled=”0″ min_height=”169px” alt=”Nadine Kroher” title_text=”Dr Nadine Kroher Headshot” quote_icon_color=”#000000″]

“I’ve got the most perfect job in the world! Proud to work together with the amazing DAACI team – an enthusiastic bunch of musicologists, engineers, and researchers – who always provide me with solid professional support and guidance. DAACI is visionary! We all deeply believe the future of musical AI will pivot on human-centric creativity. And I am so lucky to be generously offered to undertake this project, which would make a transformative impact on the future of music.”

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