Prof. Zoran Perić

Full Professor Zoran Perić has been a faculty member at the Faculty of Electronic Engineering, University of Niš, since 2010, with an academic career spanning over 30 years. His research focuses on telecommunications and artificial intelligence, particularly in digital telecommunications, signal processing, data compression, deep neural networks (DNN), DNN parameter quantization, and related fields. Prof. Perić has authored over 385 scientific papers, with 165 published in journals indexed by SCI/SCIe (with impact factors). He has also published three monographs, two textbooks, and one collection of solved problems. Notably, he received the prestigious “Professor Ilija Stojanović” award in 2017 from the Telenor Foundation for outstanding contributions to telecommunications through scientific papers published in renowned international journals and the silver badge of the University of Niš. As a mentor, Prof. Perić has supervised 14 Ph.D. dissertations and over 80 master’s and bachelor theses. He is guiding one ongoing doctoral dissertation at the Faculty of Electronic Engineering. In addition to his teaching and research roles, he has held various positions, including Vice Dean of the Faculty of Electronic Engineering and a member of the Council of the University of Niš. Professor Perić has served as a long-time member of the editorial boards of respected international journals, including Electronics and Electrical Engineering, Information, and Facta Universitatis Series: Electronics and Energetics (where he previously held the position of Editor-in-Chief). He has also been a lead guest editor for special issues in several high-impact journals and a program committee member for international conferences such as Electronics (Lithuania), SAUM, TELSIKS, Noise and Vibration (Serbia), ICEST, and ETAI. Throughout his career, he has contributed to numerous national and international projects. From 2004 to 2019, he co-led six projects funded by the Ministry of Science and Technological Development of the Republic of Serbia. Additionally, he participated in bilateral projects between Serbia and Slovakia and international TEMPUS and other EU projects. Prof. Perić has successfully led an AI-focused project funded by the Science Fund of Serbia and has participated in an innovation project. Recently, he secured a Horizon Europe project as the coordinator, although, his deputy currently oversees the project. With a wealth of academic, research, and project management experience, Prof. Perić continues to make significant contributions to telecommunications and artificial intelligence.

Prof. Jelena Nikolić

Jelena Nikolić is an Associate Professor at the Department of Telecommunications at the Faculty of Electronic Engineering, University of Niš, and instead of Prof. Zoran Perić, she is the current coordinator of the AIDA4Edge project. She received her B.Sc., M.Sc., and Ph.D. degrees in Telecommunications in 2003, 2006, and 2011, respectively, from the Faculty of Electronic Engineering, University of Niš, specializing in quantization and speech compression. She is the author of 135 papers, including 59 in journals with IF. For her outstanding scientific publications, she was awarded by Telenor foundation in 2017. She received the best paper award Professor Ilija Stojanović for contribution in the field of Telecommunications in the category of scientific papers published over the past two years in renowned international journals. Prof. Nikolić has served as a reviewer for numerous IEEE, Elsevier and MDPI journals and textbooks. She was as a member of the program committee for the ELECTRONICS’2012 conference in Lithuania and the DOGS 2017 conference in Serbia. She was also a Guest Editor for the MDPI journal “Mathematics”and a member of the Editorial Board of the Wiley journal “Mathematical Problems in Engineering” (2020–2024). Prof. Nikolić is a lecturer on several subjects from the Data Compression and AI field. She is also a lecturer at the new master study program Artificial Intelligence on the subject Artificial Intelligence in Speech and Audio Signals. Prof. Nikolić is a member of 27 commissions for the assessment of the topic and defense of the Ph.D. thesis (one defense held in English). She has participated in 10 national and international research projects. She was WP leader in the project Advanced Methods of Quantization, Compression and Learning in Artificial Intelligence, Com-in-AI, funded by the Science Fund of the Republic of Serbia.

Prof. Milan Dinčić

Milan Dinčić, Project Manager of the AIDA4Edge project, is an Associate Professor at the Department of Measurements at the Faculty of Electronic Engineering, University of Niš. He holds two Ph.D. degrees in distinct fields—Telecommunications and Metrology. Professor Dinčić was honored as the Best Graduate Student at the University of Niš in 2007. He is the author of over 80 scientific papers, including 32 published in SCI/SCIE journals. Currently, he serves as the local coordinator for the Erasmus+ project PEMS-ML. He also led the SENSORS project within the Program for Higher Education Development 2019 and was the Work Package leader in the project “Advanced Methods of Quantization, Compression, and Learning in Artificial Intelligence” (Com-in-AI), funded by the Science Fund of the Republic of Serbia. Additionally, he has served as a reviewer for numerous international scientific journals. Prof. Dinčić contributes to the project with his profound expertise in quantization, coding and compression theory, along with his extensive experience in the acquisition, processing and modeling of sensor data that serves as input for AI systems.

Prof. Aleksandra Jovanović

Aleksandra Jovanović is a Full Professor at the University of Niš, Faculty of Electronic Engineering, where she received her Ph.D. in Electrical Engineering in 2007. Her research has primarily focused on source coding, with an emphasis on advanced data compression techniques for signal processing applications. In recent years, she has expanded her work to neural network compression, leveraging her expertise in traditional signal compression to tackle emerging challenges in machine learning and artificial intelligence. She has also worked on designing multilevel signal constellations for energy-constrained communication systems, contributing to the development of more efficient digital modulation techniques. Throughout her research career, she has participated in twelve research projects and has authored or co-authored five books and over a hundred peer-reviewed scientific papers.

Prof. Dejan Ćirić

Dejan Ćirić is a Full Professor at the University of Niš, Faculty of Electronic Engineering, where he earned his Ph.D. in Electrical Engineering in 2006. His research primarily focuses on acoustics, sound acquisition and processing, audio analytics, and the application of artificial intelligence in audio and acoustics. Prof. Ćirić is the author of over 150 research papers, including 23 articles in refereed scientific journals, 4 articles in national journals, over 75 papers in international conference proceedings, and more than 50 papers in national conference proceedings. His international experience includes a position as a Guest Researcher at the Institut de Recherhe et Coordination Acoustique/Musique (IRCAM), Paris, France in 2014, as well as serving as a Research Assistant and Ph.D. student at the Acoustics Department of Electronic Systems, Faculty of Engineering and Science, Aalborg University, Denmark, in 2002 and 2003. Prof. Ćirić has participated as a project leader and team member in over 30 national and international projects, as well as projects financed by external companies. He was a recipient of the “Research in Paris 2013” grant and the Young Scientist Grant from the International Commission for Acoustics in 2007. As a mentor, Prof. Ćirić has supervised one Ph.D. dissertation and over 30 master’s and bachelor’s theses. He is currently supervising two ongoing doctoral dissertations at the Faculty of Electronic Engineering. In addition to his teaching and research roles, Prof. Ćirić has held various administrative positions, including Head of the Department of Telecommunications and membership in the Council of the Faculty of Electronic Engineering in Niš. Within the AIDA4Edge project, Prof. Ćirić serves as the leader of Work Package 1.

Teaching Assistant Nikola Vučić

Nikola Vučić is a Teaching Assistant at the Faculty of Electronic Engineering, University of Niš, where he has been employed since 2018. He obtained his Bachelor’s degree in 2013 and Master’s degree in 2014 at the Faculty of Electronic Engineering. He is also a Ph.D. student at the same faculty with the research in the fields such as signal processing, compression, quantization and statistical learning. He has published 30 articles. He has taken part as a team member of many national and international projects. During his studies he was in the leading positions of the Electrical engineering students’ European association – Local committee Niš (EESTEC LC Niš), where he gained a huge experience in the team work within the multicultural environment, organizing local and international events, grant projects, finances, legal matters etc.

Junior Researcher Sofija Perić

Sofija Perić earned her B.Sc. (2022) and M.Sc. (2023) degrees in Control Systems from the Faculty of Electronic Engineering, University of Niš. She has been recognized for her academic excellence with five awards and two scholarships from the Young Talents Fund of the Republic of Serbia “Dositeja.” Currently, Sofija is pursuing her Ph.D. in Telecommunications at the same institution, where she holds the position of Junior Researcher. She has authored three scientific papers and one published in a journal indexed with an impact factor. Her research focuses on quantization techniques, efficient storage parameters of deep neural networks (DNNs), and the adaptation of DNNs for deployment on edge devices, with applications in artificial intelligence.

Prof. Jelena Jovanović

Jelena Jovanović obtained her M.Sc. degree in Telecommunications in 2008 and her Ph.D. degree in Measurement Technology in 2016, both from the Faculty of Electronic Engineering, University of Niš, Serbia. She is currently an Associate Professor in the Measurements Department at the same institution. Her research focuses on the design of analog-to-digital converters, sensor linearization methods, signal processing techniques, and IoT based telemetry systems utilizing microcontrollers and microcomputers. Prof. Jovanović has authored or co-authored over 40 publications in reputable journals and conference proceedings. During her scientific career, she participated in several national projects and coordinated one of them.

Teaching Assistant Milica Stojanović

Milica Stojanović is a Teaching Assistant in the Department of Measurements at the Faculty of Electronic Engineering, University of Niš, where she has been employed since 2021. She graduated from the University of Niš with a Bachelor’s degree in 2020 and obtained her Master’s degree in 2021. Currently, she is pursuing research as a Ph.D. student, focusing on innovative solutions in the field of intelligent measurement systems. Milica has made contributions to the academic community, having published eleven papers, eight of which were presented at conferences and three featured in national and international journals.

Prof. Tatjana Nikolić

Tatjana Nikolić received her B.Sc. degree in Communication Engineering in 2000, and her M.Sc. and Ph.D. degrees in Electronic Engineering in 2005 and 2010, respectively, all from the Faculty of Electronic Engineering, University of Niš, Serbia. She is currently a Full Professor at the Department of Electrical Engineering within the same faculty. She has been actively involved in numerous national and European research projects and has authored or co-authored over 100 peer-reviewed papers published in scientific journals, conference proceedings, and workshop presentations. Her primary research interests include embedded hardware and software architectures, machine learning applications, fault-tolerant on-chip communication, low-power system-on-chip design, and reconfigurable hardware architectures for application-specific accelerators.

Assistant Professor Goran Nikolić

Goran Nikolić is an Assistant Professor at the Department of Electrical Engineering, Faculty of Electronic Engineering, University of Niš, Serbia. He earned his B.Sc. degree in Communication Engineering in 2003, and his M.Sc. and Ph.D. degrees in Electronic Engineering in 2010 and 2019, respectively, all from the Faculty of Electronic Engineering, University of Niš. His research interests include real-time embedded systems, machine learning applications in embedded systems, wireless sensor networks, fault-tolerant and low-power system design. He has been involved in several national and European research projects and currently serves as the coordinator of an industry-collaborative project focused on security systems. He has authored or co-authored over 50 scientific papers published in international journals and conference proceedings.

Teaching Assistant Jelena Nedeljković

Jelena Nedeljković is a Ph.D. student in Electronics at the Faculty of Electronic Engineering, University of Niš, Serbia, where she has been a Teaching Assistant since December 2022, following her earlier role as a Teaching Associate. She earned her Master of Science degree in Electronics in 2022 and her Bachelor of Science degree in 2021, both from the same institution. Her research interests include embedded systems, fault tolerance, reliability in electronic systems, and the integration of artificial intelligence into these fields. She has presented her work at various international conferences and workshops and has received notable accolades, including the “Dr. Zoran Đinđić” Award for the Best of the Best (2023) and second place in the “Best Technological Innovation in Serbia” competition (2021).

Prof. Danijel Danković

Danijel Danković received the Ph.D. degree in electrical engineering from the University of Niš, Serbia, in 2009. He has been a member of the Academic Staff with the Department of Microelectronics, Faculty of Electronic Engineering, University of Niš since 2001, where he is a Full Professor. His research interests include semiconductor device physics, device modeling, device reliability, especially negative bias temperature instability (NBTI) in MOS devices; Internet of Things; and Primary and High School Education. He has authored or co-authored three book chapters, five university student books, one technical solution, and over 150 papers published in the scientific journals and conference proceedings. Dr. Danković is the IEEE ED/SSC Serbia and Montenegro Section Chapter Chair, the Chairman of Student’s Projects Conference IEEESTEC, the co-chairman of the International conference on Microelectronics MIEL, Editor in-Chief of Facta Universitatis Series Electronics and Energetics, and an Associate Editor of Microelectronics Reliability. He participated or was project leader in more than ten different national and international projects and collected significant experience, especially in the field of education.

Prof. Emilija Živanović

Emilija Živanović received the Ph.D. degree in Applied Physics from the Faculty of Electronic Engineering, University of Niš in 2014. She is an Associate Professor with the Department of Microelectronics. She has taught in 12 subjects, engaged in 6 national and 5 international projects and published over 50 journal and conference scientific papers. Her research interests are mechanisms that lead to breakdown and discharge in gases at low pressures, the influence of ionizing radiation on gas components and MOS transistors as well as their characterizations. She is Head of the Physics Laboratory for students education. She actively participates in activities to foster education: in the organization of the scientific conference of student papers IEEESTEC and MIEL conference, as well as in events organized at Faculty for the purpose of promoting science and technology to high school students. She is a member of the International Association of Electronics and Electrical Engineers IEEE, as well as a member of the Department of Physics of the Society of Serbia for Scientific Research and Higher Education, the Department of Physics of Plasma and Ionized Gases, as well as the Optical Society of Serbia.

Asistant Professor Miloš Marjanović

Miloš Marjanović received the M.Sc. and Ph.D. degrees in electrical engineering from the University of Niš, Serbia, in 2013, and 2023, respectively. Since 2013, he has been a Member of the Academic Staff with the Department of Microelectronics, Faculty of Electronic Engineering, University of Niš, where he is currently an Assistant Professor of different courses: physics, electronic devices, materials in electronics, modeling and simulation of electronic devices, microelectronics technology, design for FPGA, and power devices and circuits. He is Head of Laboratory for modeling and simulation of components and microsystems, and IEEE University of Niš SB Chair. He has authored or coauthored around 70 papers published in journals and conference proceedings. His research is focused on simulation program with integrated-circuit emphasis modeling and simulations of electronic devices.

Teaching Assistant Sandra Veljković

Sandra Veljković received the B.S. degree in electrical components and microsystems in 2018. and M.S. degrees in electronics in 2019. from the University of Niš, Faculty of Electronic Engineering, Serbia. At the same faculty she is currently a student of PhD studies. She has been a member of the Academic Staff with the Department of Microelectronics, Faculty of Electronic Engineering, since 2023, where she is a Teaching Assistant. Her research interests include semiconductor device physics, and device reliability, especially negative bias temperature instability (NBTI) in MOS devices. She is the author or coauthor of a total of 119 papers, of which 14 were published in international journals of the M20 category, 76 papers at international conferences, 24 papers at national conferences, and 5 professional papers. Also, she serves as a Chair of the IEEE ED/SSC University of Niš student branch and Steering Committee member of the SSC Society.

Teaching Assistant Nikola Mitrović

Nikola Mitrović received the B.S. degree in electrical components and microsystems in 2017, and M.S. degree in electronics in 2018, from Faculty of Electrical Engineering, Niš, Serbia, where he is currently pursuing the Ph.D. degree in microelectronics. His awards and honors include rewarded papers in student’s conferences and muniments for exceptional results in studies. He has been a member of the Academic Staff with the Department of Microelectronics, Faculty of Electronic Engineering, University of Niš, since 2020, where he is currently a Teaching Assistant at the Faculty of Electronic Engineering in Nis. He has authored or coauthored over 30 papers published in the international journals and conference proceedings. His research is focused on negative bias temperature instability (NBTI) in MOS devices and on IoT embedded systems.

Prof. Bratislav Predić

Bratislav Predić received the Ph.D. degree in Computer Science from the Faculty of Electronic Engineering, University of Niš in 2012. He is a Full Professor with the Department of Computer Science. He is teaching computer science related courses at undergraduate, master and doctoral lever, including Algorithms and Programming, Operating Systems, Development of Mobile Applications and Services, Software Architecture and Design, Geographic Information Systems etc. He has participated in numerous international projects, including COST actions (MOVE), Erasmus+ (ISSES) and national projects including IDEAS programme (AIAQUAMI). His research is focused on volunteered geographic information acquisition, collaborative sensing, deep learning applied to time-series analysis and computer systems security. He has coauthored and authored more than 100 papers including more than 70 conference and more than 20 journal papers.

Dr. Marko Anđelković

Marko Anđelković received his Dipl-Ing. degree in Electronics from the Faculty of Electronic Engineering (University of Niš) in 2008. Since 2010 he was employed as a scientific researcher at the Faculty of Electronic Engineering in Niš, where he was working on characterization of custom-made dosimeters, evaluation of dosimetric properties of commercial semiconductor components, and design of readout electronics for experimental evaluation of various types of dosimeters. Since 2016 he is with IHP, where he is employed as a research associate within the System Architectures Department. His research interests include characterization and modeling of radiation-induced effects in digital circuits and rad-hard design. He has participated in numerous national, bilateral and EU-funded projects, and has authored/co-authored over 80 journal and conference papers.

Dr. Fabian Vargas

Fabian Vargas obtained the Ph.D. Degree in Microelectronics from the Institut National Polytechnique de Grenoble (INPG), France, in 1995. At present, he is Senior Scientist at IHP – Leibniz Institute for High Performance Microelectronics, Germany, where he works on the design of on-chip sensors and cross-layer resilience for aerospace systems. Vargas has served as Technical Committee Member and Guest-Editor in many IEEE-sponsored conferences and journals. He holds several patents and published over 200 refereed papers. Vargas was researcher of the BR National Science Foundation from 1996 to 2023. He co-founded the IEEE-Computer Society Latin American Test Technology Technical Council (IEEE LA-TTTC) in 1997 and the IEEE Latin American Test Symposium (LATS) in 2000. He received the Meritorious Service Award of the IEEE Computer Society for providing significant services as chair of these groups. Vargas is Golden Core Member of the IEEE Computer Society and Senior Member of the IEEE.

Prof. Miloš Krstić

Miloš Krstić obtained Dr-Ing. Degree in Electronics from Brandenburg University of Technology, Cottbus, Germany (2006). He is the Head of the System Architectures department at IHP. Since 2016 he is also professor for “Design and Test Methodology” at the University of Potsdam, Germany. He has been managing many international and national R & D projects in IHP (GALAXY, EMPHASE, IC-NAO, ENROL, RTU-ASIC, SEPHY, DIFFERENT, VHiSSi, RESCUE, etc.), and has authored and coauthored over 200 publications, and holds 8 patents.

Prof. Riccardo Zese

Riccardo Zese is an Associate Professor at the Department of Chemical, Pharmaceutical, and Agricultural Sciences and a member of the AI@UniFE Artificial Intelligence research group at the University of Ferrara, where he has been affiliated since 2012. His research focuses on probabilistic reasoning, machine learning, and deep learning, with a particular interest in integrating logics with diverse semantics into hybrid structures and advancing neuro-symbolic techniques that combine neural networks with logic. This specialization is rooted in his extensive background in inference techniques and machine learning for probabilistic logic. Since January 2016, he has served as a Postdoctoral Research Fellow in the Department of Engineering at the University of Ferrara. He received his Ph.D. in Computer Science from the University of Ferrara in April 2016 and his Laurea in Computer Engineering in July 2012.Prof. Zese is a member of AIIA (AIIA – AssociazioneItaliana per l’IntelligenzaArtificiale) and GULP (Gruppo Ricercatori e Utenti Logic Programming). He has authored over 80 peer-reviewed articles in fields such as machine learning, inductive logic programming, and statistical relational learning.

Prof. Evelina Lamma

Prof. Evelina Lamma earned her degree in Electronic Engineering from the University of Bologna, Italy, in 1985, followed by her Ph.D. in Computer Science in 1990. She served as an Associate Professor at the University of Udine from 1992 to 1993 and at the University of Bologna from 1993 to 2000. Currently, she is a Full Professor in the Department of Engineering (DE) at the University of Ferrara, where she teaches courses in Artificial Intelligence and Foundations of Computer Science. She coordinated the Ph.D. program at the DE from 2003 to 2007 and was the coordinator for a bachelor’s and two master’s degree programs in ICT and Computer Science Engineering from 2007 to 2015. From 2015 to 2018, she was appointed as the Rector’s Delegate for Teaching.Prof. Lamma’s research centers on artificial intelligence, covering theoretical, implementation, and applied aspects. Her work has significantly advanced knowledge representation and reasoning, computational logic, logic programming, multi-agent systems, decision support systems, ontologies, and machine learning. She has developed innovative algorithms and reasoning tools applied in complex domains, including systems for probabilistic reasoning and learning at UNIFE (ml.unife.it). She has authored over 230 international publications and served on program committees for numerous national and international conferences. She was program co-chair of the 29th International Conference on Logic Programming (ICLP 2013) and of the Italian Conference on Artificial Intelligence in 1999 and 2015. Her achievements include the KSEM 2010 Highly Commended Paper Award and the RR 2013 Best Paper Award.Prof. Lamma has actively contributed to organizing international events and has delivered invited talks and tutorials at conferences such as ICLP 1994 and ICLP 2015. She has participated in numerous national and international research projects, with applications in computational logic, artificial intelligence, and clinical fields.

Prof. Michele Favalli

Michele Favalli received the PhD degree in Electronic and Computer Science in 1993 from the University of Bologna. From 1993 to 1998 Michele Favalli was a research associate of computer science and engineering in the University of Bologna. From 1998 Michele Favalli is associate professor of computer science and engineering in the University of Ferrara. His scientific interests are in the field of testing and reliability of digital systems and include: test generation, design for testability and fault tolerant design. He has teached or is teaching digital design, computer architecture, hardware description languages and algorithms for design automation.

Prof. Marco Gavanelli

Marco Gavanelli is Associate Professor at the department of Engineering of Ferrara University (Italy). He graduated in Computer Science Engineering in 1998 in University of Bologna, and obtained his PhD from University of Modena and Reggio-Emilia in 2002. He has been coordinator of the Italian interest group on Knowledge Representation and Automated Reasoning (RCRA) and secretary of the Italian Association for Logic Programming (GULP). He is currently the coordinator of 1 Bachelor and two Masters in Engineering. His research interests span over Artificial Intelligence, Constraint Programming and Logic Programming.
He has more than 100 publications on journals, conferences and workshops. He participated to various national and European projects, and was coordinator of the UniFE unit in the STREP-FP7 project “ePolicy”. He was awarded the best paper award at the 27th International Conference on Logic Programming, ICLP 2011.

Prof. Elena Bellodi

Elena Bellodi is Associate Professor in the Department of Engineering of the University of Ferrara, where she graduated in Computer and Automation Engineering and obtained her PhD in Engineering Sciences. She is part of the AI@UniFE group since 2009. Her research interests include Machine Learning, Probabilistic Logic Programming and Statistical Relational Artificial Intelligence, Description Logics and the Semantic Web, Process Mining, Natural Language Processing.She is the author of more than 90 works, including conference papers, international journals, and book chapters.

Research Fellow Alice Bizzarri

Alice Bizzarri is a researcher and Ph.D. student specialising in Artificial Intelligence and Machine Learning, with a particular focus on neuro-symbolic integration. Currently pursuing a National Ph.D. in Artificial Intelligence at Politecnico di Torino, she holds a Master’s Degree in Computer and Automation Engineering and a Bachelor’s Degree in Electronics and Computer Engineering.
Alice has gained professional experience as a researcher and intern in both academic and industrial settings. She has authored numerous publications on advanced topics such as network intrusion detection, machine learning for industrial visual inspection, clinical data analysis for COVID-19, and the optimisation of neural networks for embedded systems.

Prof. Davide Bertozzi

Davide Bertozzi is a Reader in Advanced Processing Technologies at University of Manchester (United Kingdom). He got his PhD at University of Bologna (Italy) in 2003 and led the multiprocessor system-on-chip group at University of Ferrara till 2023. The mission of his research is to stay at the forefront of system innovation by leveraging the enabling properties of interconnection architectures and emerging technologies. He has been visiting researcher at Stanford University and at several semiconductor industries (STMicroelectronics, NEC America Labs, NXP, Samsung). In 2018 he received the Wolfgang Mehr Award from IHP Microelectronics, a Leibniz Institute for innovative microelectronics in Germany, for his interdisciplinary research on photonically-integrated systems. His research interests span widely across the field of on-chip communication with a strong drive to overcome the communication bottleneck in emerging system architectures, ranging from neuromorphic computing to multi-tenant fog nodes. He currently contributes to the activities for neuroscience simulation acceleration within the flagship EBRAINS 2.0 project, and takes part to a collaborative effort to bring the celebrated SpiNNaker large-scale neuromorphic computing platform to the next generations of technology, implementation and architecture. Finally, he is deeply involved in recent EU-funded initiatives (TAICHIP, TWIN-RELEC, AIDA4Edge) to enhance networking between research institutions of the widening countries and top-class leading counterparts, encompassing joint research, knowledge transfer and exchange of best practices in the fields of AI chips, open EDA tools and hybrid SNN-ANN models, respectively. His scientific activity has led to roughly 200 publications, with five best paper awards, three best paper award nominations and one high-impact paper award for one of the five most cited papers in the first thirty years of the Int. Conference of Computer Design.

Prof. Oliver Rhodes

Oliver Rhodes is Senior Lecturer of Bio-Inspired Computing, and Head of Postgraduate Research, in the Department of Computer Science at the University of Manchester, UK. He is a member of the Advanced Processor Technologies group, where his research focuses on neuromorphic systems for AI and computational neuroscience. He published the world’s first real-time simulation of a biologically plausible model capturing 1 square mm of mammalian cortex (https://doi.org/10.1098/rsta.2019.0160), and helped lead development of the SpiNNaker neuromorphic platform software stack through the EC Flagship Human Brain Project. Current research includes the EU’s Horizon Europe NimbleAI project, exploring bio-inspired vision through combined sensor-processing system design; and EPSRC funded Edgy Organism, investigating learning patterns of life at the edge using low-power neuromorphic systems. He also has experience working with industry partners, through consulting and knowledge transfer partnerships, and is a chartered engineer (CEng).