Co-director of Bioquant and Professor of Protein Evolution at Heidelberg University. Previously Group Leader at EMBL, Heidelberg, Academic Editor at FEBS Letters at PLoS Computational Biology.
Rossano Schifanella is an associate professor of computer science at the University of Turin and a researcher at ISI Foundation, where he is a member of the Data Science for Social Impact and Sustainability group. His research embraces the creative energy of a range of disciplines across machine learning, urban science, computational social science, complex systems, and data visualization. He leverages data-driven approaches to model the behavior of (groups of) individuals and their interactions in space and time, aiming at understanding the interplay between online and offline social behavior. He is passionate about understanding the dynamics of complex phenomena in modern cities and building interactive web interfaces to explore urban spaces and access human knowledge through geography.
Alexander Schliep received a PhD degree in computer science from the Center for Applied Computer Science (ZAIK/ZPR) at the Universität zu Köln, Germany (2001), working in collaboration with the Theoretical Biology and Biophysics Group (T-10) at Los Alamos National Laboratory. From 2002-2009 he was the group leader of the Bioinformatics Algorithms Group in the Department for Computational Molecular Biology at the Max Planck Institute for Molecular Genetics in Berlin. From 2009–2016 he held a joint position as associate professor in the Department of Computer Science and the BioMaPS Institute for Quantitative Biology. From August 2016–February 2025 he held a faculty position (part-time since Oct 2022) at the University of Gothenburg in the Department of Computer Science and Engineering, which is a joint department of Chalmers and the University of Gothenburg. Since October 2022 he is the chair for medical bioinformatics at the Faculty of Health Sciences Brandenburg. His group is located at the Brandenburg Technical University Cottbus-Senftenberg.
He serves as an associate editor for BMC Bioinformatics and as an editor of PeerJ.
I am the Director of Spatial Planning and Innovation at the Nature Conservancy of Canada and an Adjunct Research Professor at Carleton University, studying the ecological impacts of human activities and develop novel techniques to prioritize conservation areas and strategies. I have a theoretical and applied background in quantitative ecology and statistics and spatial big data analysis. I develop novel analytical tools for researchers and other practitioners to explore and use in conservation planning and management.
João Setubal is full professor in the Biochemistry Department of the Institute of Chemistry at the University of São Paulo, Brazil. Setubal has a PhD in Computer Science (1992) from the University of Washington (USA). He was a faculty member at the University of Campinas (Unicamp, Brazil) (1992-2004), then Associate Professor at the Biocomplexity Institute of Virginia Tech, USA (formerly the Virginia Bioinformatics Institute) (2004-2011), where he still is an Adjunct Faculty. His research interests are in computational tools for genomics, metagenomics, and transcriptomics, and applications of such tools primarily in microbiology and microbial ecology.
Syed Hassan Shah is a Wi-Fi connectivity subject matter expert with the Qualcomm Inc. product management team, where he is involved in Consumer and Compute Wireless products with a focus on Mi-Fi, CPE, and UWB technologies. In addition to that, Dr. Shah is also an adjunct faculty member at California State University, Fullerton Campus, where he teaches computer science courses to graduate classes. Over the past decade, Dr. Shah held multiple industrial & academic roles such as a Product Specialist for Distributed Antenna Systems (DAS), CBRS, Private LTE, Digital Electricity, and open RAN product lines. Dr. Shah was an Assistant Professor in the Department of Computer Science at Georgia Southern University, USA followed by a Post-Doctoral Fellowship at the University of Central Florida, Orlando, USA. Before moving to the United States, he completed his BS with honors in CS from Kohat University of Science & Technology (KUST), Pakistan, and his Ph.D. Degree (combined with Masters) from the School of Computer Science and Engineering (SCSE), Kyungpook National University (KNU), Republic of Korea (South Korea). During the summer of 2015, he was invited as a distinguished visiting researcher at Georgia Tech, Atlanta, USA to investigate MAC layer findings in IEEE 1609.4 protocol stacks. Overall, Dr. Shah has authored/co-authored over 250 peer-reviewed international publications including Journal articles, Conference Proceedings, Book Chapters, and 05 books. In 2016, his work on robust content retrieval in future vehicular networks won the Qualcomm Innovation Award at KNU, South Korea. Dr. Shah's research interests include Wireless and Ad hoc Networks, Cyber-Physical Systems, Smart Cities, Connected Vehicles, and Future Internet architectures.
Furthermore, Dr. Shah is a Senior IEEE and ACM member, served as a TPC Member or Reviewer in over 100 International Conferences and Workshops including IEEE Globecom, IEEE ICC, IEEE CCNC, IEEE ICNC, IEEE VTC, IEEE INFOCOM, ACM CoNEXT, ACM MobiHoc, ACM SAC, and many more. Furthermore, he has been reviewing papers for over 50 different International Journals including IEEE Magazines on Wireless Communications, Networks, Communications, IEEE Communications Letters, IEEE Sensors Letters, IEEE Transactions on Industrial Informatics, and Vehicular Technologies, Intelligent Transportation Systems, Big Data, and Mobile Computing. Moreover, Dr. Shah has been an editorial member of more than 60 Special Issues with top-ranked journals in Communication Society and served as an editorial board member of KSII Transactions on Internet & Information Systems, Wiley's Internet Technology Letters, Transactions on Emerging Telecommunications Technologies, IEEE Newsletters on Internet Initiative, Future Directions, and Software Defined Networks. Dr. Shah has been an appointee of the Board of Governors of the IEEE Vehicular Technology Society as liaison to IEEE Young Professionals society for the year 2018-2019. Since 2018, he is also an ACM Distinguished Speaker.
Dr. Yuan Shang works on Alzheimer's Disease (AD) at the University of Arizona. He combines any potential methods and data to search potential therapeutic opportunities for AD. He is an expert on omics data analysis, multi-omics integrations, network-based pattern recognition, and machine learning-based biomarker discoveries.
I am an Associate Professor in Computer and Information Sciences at Northumbria. I received my PhD degree in Mathematics from Shanghai Jiao Tong University. My research interest is in complex networks and systems.
Dr Kamran Shaukat is a Senior Learning Facilitator at Torrens University Australia and a researcher in the Centre for Artificial Intelligence Research and Optimisation. With more than 12 years of teaching and research experience, he specialises in artificial intelligence, machine learning, deep learning, cybersecurity, malware detection and health informatics. Kamran is recognised in the top 2% of researchers globally, with more than 75 peer-reviewed publications, four authored books, an h-index of 36 and over 5,600 citations. He has demonstrated excellence in curriculum development, PhD supervision and international academic collaboration, and is committed to leading industry-relevant programs and interdisciplinary research. Kamran holds a PhD in Computer Science and a Master of Science in Computer Science, and is a member of both ACM and IEEE.
Kaize Shi is with the Data Science and Machine Intelligence Lab, University of Technology Sydney. He has PhD degrees in computer science and computer systems, which are from the Beijing Institute of Technology, China, and the University of Technology Sydney, Australia. His research interests include natural language generation, social computing, cyber-physical-social systems, meteorological knowledge services, intelligent transportation, and artificial intelligence technology. He is the associate editor of IEEE Transactions on Computational Social Systems and academic editor of PeerJ Computer Science and Wireless Communications and Mobile Computing. He also served as a guest editor for the Information Fusion, International Journal of Distributed Sensor Networks, etc. He served as a program committee member for conferences of ACL, EMNLP, NeurIPS, SIGKDD, ICDM, etc. He is a member of the Artificial Intelligence Technical Committee of the China Meteorological Service Association.
Dr. Filipi Silva is a Research Scientist at the Observatory on Social Media (OSoMe), Indiana University. With a Ph.D. in Computational Physics from the University of São Paulo, his expertise lies in the intersection of complex networks, machine learning, text analysis and data visualization. Dr. Silva's research includes contributions to many fields, from bioinformatics, to digital art representation. He is the developer of Helios-Web, a state-of-the-art network visualization tool. And his current interests include mapping science, detecting suspicious activities and uncovering narratives in social media data.
Degree in Meteorology from University of São Paulo (1983), Master in Oceanography (Physical Oceanography) from University of São Paulo (1989) and PhD from University of Southampton, England (1994). In 1995 held postdoctoral activities in the Oceanographic Institute at USP. Experience in Physical Oceanography and Meteorology, with emphasis on numerical modelling and in situ observations of air-sea interaction (oceanic and atmospheric turbulence) and micrometeorology (Planetary boundary layer, turbulence, radiation and energy balances, turbulent fluxes). Study of the atmosphere and ocean in Equatorial and Antarctic regions.