THE 2025 INNS ELECTION IS NOW OPEN!Your voice is crucial! Voting for the 2025 Board of Governors and President-Elect is officially underway. Cast Your VoteThe election closes on 8 November 2025 at 11:59 PM EDT. Please vote before the deadline.
Governor-at-Large Nominees
Peter Andras (CV)I aim to engage more actively the community of young researchers and the world of AI companies to ensure that the INNS supports the mobility of PhD students between labs across the world and their engagement with the full range of AI focused companies. In the context of the current rapid technological change and competition for funding it is critically important to set up and maintain large scale collaboration networks to facilitate mobility and cross-fertilisation across industry and academia. Working closely with industry and governmental R&D initiatives is key to the success of scientific societies and this is exponentially increasingly true in today’s world of extremely fast AI innovation and increasing international competition. I will work towards the strengthening of industrial and governmental collaborations of the INNS. I will work on the more active involvement of AI companies and relevant government initiatives in INNS sponsored conferences and events. Plamen Angelov (CV)My whole research (from late 1980s) revolves around learning from data and coincides with the developments in the area of neural networks. I am bringing both, the experience and wisdom as well as new fresh ideas. I am passioned about the topic which finally become centre-stage and I am happy to see the resurgence of interest and increased number of submissions to IJCNN, but I believe, we can do even more to improve and position better within this fast-changing landscape. Improving the quality of the flagship conference, workshops, following the examples of TMLR we may think of an open-source fast-turnaround journal, repositories such as GitHub as well as ArXiv also may give us new ideas how we can collect and expose top class research and software as well as interesting data sets, establishing benchmarks, competitions, etc. In my personal research I am interested in explainability and links with the brain and reasoning. This is an area in which INNS stands out and we can exploit. Danilo Comminiello (CV)If elected to the INNS Board of Governors, I will work to strengthen the society's role as the global hub for neural network research. My priorities are:- Empowering the flagship INNS conference: increase the prestige of IJCNN among the AI research communities.- Community growth: foster inclusivity and support for emerging research regions.- Strengthening academia–industry collaboration: build partnerships that highlight the societal relevance of neural networks. Empowering young researchers: expand mentorship, schools, and student challenges.- Advancing next-generation AI: promote recent advances on neural networks, bridging theory and real-world impact. I bring experience as General Chair of IJCNN 2025 and Chair of the IEEE MLSP TC, with a track record of organizing large-scale events, advancing interdisciplinary initiatives, and mentoring early-career scientists. I am committed to advancing INNS's mission of scientific excellence, inclusivity, and innovation. Richard Duro (CV)I am a firm believer in the power of international collaboration and interdisciplinary exchange to achieve scientific goals in the field of Artificial Neural Networks, and, in more general terms, artificial intelligence based and bio-inspired approaches. Thus, I would like to contribute towards achieving a greater presence of our society in the international scene, towards opening pathways for communication and collaboration among members, especially younger members, and towards the introduction within the activities of the society of fields where the core issues of the INNs are, or can be, relevant and produce advancements of scientific knowledge and technology as well as of fields that may be a source of inspiration to our society members, especially those related to the biological bases of our field. Y. Raymond Fu (CV)As an interdisciplinary faculty and cross-domain entrepreneur, I would devote my time and effort in collaborating with other board members to support INNS through my professional knowledge, educational experiences, research passion, technology innovation and entrepreneurial spirit. I will contribute to share in the excitement and discuss with our outstanding younger generation of students, scientists, engineers and the general public from various fields about cutting-edge research topics, new innovations and pioneering technologies in our neural network community; and how to foster research innovation across widely disparate disciplines and commercialize technologies from laboratory prototypes to boost broader social impact. I will also be dedicated as a public servant to generously contribute services to our society by committing all necessary duties and responsibilities if elected to the INNS Board of Governors. Chrisina Jayne (CV)I am excited to stand for election to the INNS Board of Governors. My career has been dedicated to advancing research and education in Computing and research in artificial neural networks, with over 90 peer-reviewed publications. Having served INNS in multiple leadership roles—including President (2021/22), Vice President of Conferences, and key positions supporting IJCNN such as Program Chair (2017), General Co-Chair (2019), Technical Chair (2024), and Financial Chair (2025)—I bring extensive experience in strategic planning, conference leadership, and community building. I am passionate about supporting the society’s mission to foster innovation, collaboration, and excellence in neural network research and applications. If elected, I will continue to champion global engagement, nurture young researchers, and strengthen the impact of INNS in shaping the future of intelligent systems. Irwin King (CV)If elected, I would contribute to INNS by leveraging my extensive experience in neural network research and my leadership roles within the society. I aim to foster interdisciplinary collaboration, support the growth of emerging research areas such as explainability, interpretability, and sustainable AI practices, and promote inclusivity and mentorship for young researchers worldwide. My dedication to advancing neural network science aligns with INNS’s mission to stimulate innovation, disseminate knowledge, and connect researchers globally. I’d actively promote initiatives addressing societal challenges, enhance international collaborations, and support educational programs. This commitment is rooted in my ongoing research and leadership experience, and I look forward to working with INNS members to shape the future of neural computation and its societal impact. Nadia Mammone (CV)As an INNS BoG member, I would work to strengthen the bridge between artificial intelligence, neuroscience, and engineering, promoting INNS as a global hub for interdisciplinary innovation. As Chair of the Artificial Intelligence for Neural Engineering (AINE) Section, I will continue fostering collaborations across academia, industry, and clinical research to advance ethical, explainable, and human-centered neural systems. I aim to expand opportunities for early-career researchers, enhance diversity and inclusion, and develop new initiatives integrating AI-driven neural technologies with real-world applications. Seiichi Ozawa (CV)I was elected as an INNS board of governors in 2017 and had worked as the INNS vice-president Pro Tempore Vice-President for Public Relations for two years. Since 2019, I have been in a position as the INNS Vice-President for Membership to promote a scientific and educational forum for students, scientists, engineers, and the general public for 6 years. I used to work as a board of governors of Asia Pacific Neural Network Society (APNNS) and Japan Neural Network Society (JNNS). I will do my best efforts to contribute to mutual cooperation among the three neural network societies: INNS, APNNS, JNNS. If I am elected for the next 3-year term, I pledge to give my sincere dedication to the community of the neural network fields and Trustworthy AI, especially for Security for AI and PrivacyPreserving Data Analysis as an INNS board of governors so that our communities can grow sustainably and mutually. Marley Vellasco (CV)As a member of the INNS Board of Governors, I will work to increase the participation of active Latin American researchers in the areas of neural networks and machine learning within the International Neural Network Society. I will also work to promote and improve the quality of INNS' main conference (IJCNN), increase the number of members and contribute to the management of the Society. As a full professor in the Electrical Engineering Department of the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), which receives graduate students from all over Latin America, I will also promote the benefits of joining INNS to undergraduate and postgraduate students. DeLiang Wang (CV)Since becoming INNS Editor-in-Chief (EIC) of Neural Networks, I have been working tirelessly to strengthen Neural Networks, the official journal of INNS. I am happy to report that the journal has improved a great deal under my leadership, in terms of its reputation and impact, as well as the number of submissions which has multiplied. As I step down from the EIC role at the end of 2025, serving on INNS’s Board of Governors will facilitate me working with my to-be-appointed successor to ensure a smooth transition, as well as to mentor him/her the next years. In addition, I can contribute to the publication aspect of INNS, drawing from my long experience serving as the EIC of Neural Networks and deep relations with Elsevier. As a board member, my focus will be on enhancing member services, which has been a consistent theme of my INNS activities, whether as its President in 2006, current board member, or Editor-in-Chief.
President-Elect Nominees
Thomas Trappenberg (CV)My PhD on spin models brought me to neural networks and ultimately to computational neuroscience and AI. I taught my first class on Neural Networks in 1994 and started research on Dynamic Neural Field Models with applications to eye movements and models of the Hippocampus. I’m also applying neural networks to engineering problems, foremost in medical data analysis and computer vision. I was co-founder of Nexus Robotics Inc that developed a weeding robot that won a robotics farming competition in Indiana in 2018, and I helped in early stages of ReelData and Alentic Microscience. My former students are the lead technologists in the latter two companies. I recently led a work package of a large oceanographic study. I am now combining my expertise in ML and computational neuroscience into NeuroAI. I very much enjoyed working with the Board of Governors and Conference Catalyst over the last two years, and I hope that I can contribute further with the help of a wonderful team. G. Kumar Venayagamoorthy (CV)I joined INNS in 1999 and have 30 years of related experience. I am the INNS Vice-President (VP) for Industry Relations and Board member. As VP, I presented INNS to over 1000 individuals in 10+ countries and grown the membership, especially industry. I served two previous terms (2009-2014) on the INNS Board. I am the General Chair for 2027 International Joint Conference on Neural Networks (IJCNN). I was the program chair for 2009 IJCNN and a program co-chair for 2003 IJCNN. INNS is a pioneer, unique in bringing together experts in fundamental theories and practical applications across diverse fields for societal impact of these transformative technologies. As the next INNS President, my efforts, working with the leadership and members, will be to reinforce INNS as a leading scientific community dedicated to advancing neural networks — the foundation of modern AI, through our local, national and global activities, and growing our membership. Cast Your Vote |
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