Juha Pekka Samuli Salmitaival is a Visiting Professor at the Department of Neuroscience and Biomedical Engineering in the College of Engineering at Aalto University . His research focuses on cognitive processes in ADHD, memory strategies, and attention mechanisms using naturalistic and virtual reality methodologies. Research Trends: His recent work examines physiological arousal in self-disclosure , executive dysfunction in ADHD , and adaptive cognitive operations . Collaborative studies highlight neural connectivity patterns , digital health applications , and strategy evolvement in memory tasks .
Idriss Dagal serves as an Assistant Professor at Beykent University's Department of Electrical and Electronics Engineering. With a PhD and Master's in Electrical Engineering from Yildiz Technical University (2015 and 2023 respectively), and additional academic credentials from Ethiopian Airlines Aviation University and Mongo Polytechnics University, his career bridges academic research with industry experience as a Sales Engineer. PhD: Yildiz Technical University (2015) Master's: Yildiz Technical University (2023), Ethiopian Airlines Aviation University (2008) Bachelor's: Mongo Polytechnics University (2006) His research focuses on renewable energy systems , particularly photovoltaic power optimization using metaheuristic algorithms (Hybrid PSO-Salp Swarm, Gray Wolf Optimization). He also explores control systems for solar energy and aircraft dynamics, including PID and fuzzy logic controllers. Additional work spans machine learning applications in energy and medical diagnostics, along with power electronics for battery charging. Recent publications highlight 15 2025 articles on topics like hybrid energy systems , AI-driven MPPT , and aircraft control frameworks . His work appears in journals such as Scientific Reports , IEEE Access , and International Journal of Aeronautical and Space Sciences . Teaching experience includes courses in Electrical Machines and Information Technologies . Non-university roles at Elektra Electronic Company and Aktif Group Company involved sales engineering, complementing his academic profile with industry insights.
Xiaolei Liu holds the Norman R. Gelphman Chair as Associate Professor in the School of Geosciences at the University of Oklahoma, where he leads research on lipid biomarkers to investigate Earth-life coevolution. Based at the Sarkeys Energy Center in Norman, Oklahoma, his work bridges analytical chemistry and geobiology to decode molecular fossils in sedimentary records. His educational background includes: Ph.D. in Organic Geochemistry from MARUM, University of Bremen, Germany (2011) M.Sc. in Palaeontology and Stratigraphy from Nanjing Institute of Geology and Palaeontology, Chinese Academy of Sciences, China (2007) B.S. in Ecology and Environmental Microbiology from Shandong University, China (2003) Dr. Liu's research centers on Geobiology and Lipid Biomarkers , with core objectives to: develop advanced analytical protocols for biomarker detection; trace biological sources and preservation pathways in sediments; and elucidate lipid biosynthesis mechanisms. His lab specializes in GDGT structural diversity, tetrapyrrole derivatives (porphyrins), tocopherols (Vitamin E), arsenolipids, and integrated metal-biomarker proxies for reconstructing ancient redox conditions. Recent publications (2022-2023) reveal a methodological shift toward high-resolution mass spectrometry for arsenolipid and tetrapyrrole analysis, coupled with paleoenvironmental applications tracking Oceanic Anoxic Events through phytoplankton biomarkers. His work consistently integrates analytical innovation with geobiological questions, spanning analytical chemistry, organic geochemistry, and Earth history reconstruction. No scientific awards are documented in the provided materials. Dr. Liu actively recruits graduate students for his Geobiology Lab, advising research in lipid biomarker applications. While specific grants aren't listed, his projects require advanced analytical infrastructure for environmental sample processing. He teaches Organic Geochemistry and Physical Geology courses within the School of Geosciences curriculum. The Geobiology Lab focuses on molecular structural diversity, natural distribution, and biogeochemical significance of lipid biomarkers, employing cutting-edge techniques like RPLC-ESI-QTOF-MS to analyze complex biological and environmental samples. Current projects include sedimentary records of tocopherols for redox reconstruction and GDGT degradation pathways in marine systems.
Maria Maistro is a Tenure Track Assistant Professor at the Department of Computer Science, Faculty of Science, University of Copenhagen. Her research focuses on Information Retrieval (IR) with emphasis on evaluation, reproducibility, click log analysis, learning to rank, expert search, and machine learning applications to IR. She contributes to the AMAOS project aiming to advance expert search methodologies. PhD in Computer Science (IR) from University of Padua (2017) MSc in Mathematics (probability, stochastic methods) from University of Padua (2014) Maria's research addresses critical challenges in IR evaluation through stochastic modeling and user signal analysis. She investigates fairness-relevance tradeoffs in recommender systems, cross-cultural retrieval frameworks, and explainability techniques for language models and recommendation algorithms. Her work combines theoretical foundations with practical applications in healthcare records, insurance domains, and culinary contexts. Recent publications (2024–2025) demonstrate her expertise in: Retrieval-Augmented Generation (RAG) for cross-cultural adaptation Fairness evaluation in recommender systems EEG-based semantic relevance analysis Session-based recommendation explainability Language model pruning consistency Reproducibility frameworks for IR experiments Maria actively participates in academic activities through conference organization roles, including: Organizer, CENTRE@CLEF 2019 Organizer, CENTRE@NTCIR 2019 Organizer, CENTRE@CLEF 2018 Organizer, LEARNER 2017
Ken Nakayama is the Edgar Pierce Professor of Psychology at Harvard University, where he has been since 1990. Previously, he spent 20 years at the Smith Kettlewell Eye Research Institute in San Francisco. He holds a B.A. from Haverford College and a Ph.D. from UCLA. University: Harvard University Department: Department of Psychology Lab: Vision Sciences Laboratory Research Interests Nakayama’s work focuses on understanding the mechanisms of visual perception, including motion perception, attention, face recognition, and the neural basis of visual processing. He explores how the brain constructs coherent visual scenes from dynamic sensory inputs, emphasizing the interplay between low-level visual processing and higher-order cognitive functions. His research employs methods such as visual psychophysics, computational modeling, and neuroimaging to study topics like the perception of surfaces, motion, and attentional deployment. Recent work includes investigations into developmental prosopagnosia (face blindness) and the role of visual perception in social cognition. Key Contributions Nakayama has contributed fundamentally to understanding the aperture problem in motion perception, the role of attention in visual search, and the neural correlates of face recognition. He co-developed the Cambridge Face Memory Test, a gold-standard tool for assessing face recognition abilities. His lab has also studied the impact of perceptual learning, the effects of brain lesions on visual processing, and the application of visual psychophysics to neurological disorders. Collaborations with neuroscientists and clinicians highlight his interdisciplinary approach to understanding vision and cognition.
Wenzhen Yuan is an Assistant Professor at the University of Illinois at Urbana-Champaign, holding appointments in the Siebel School of Computing and Data Science, Mechanical Science and Engineering, Electrical and Computer Engineering, and the Coordinated Science Lab. His research focuses on tactile sensing, robotics, and their interdisciplinary applications. Key areas include vision-based tactile sensors (e.g., GelBelt and GelSight), photonic tactile arrays, and robotic manipulation systems for precise tasks like liquid dispensing and door opening. He contributes to both hardware innovation and algorithmic advancements in sensor design and perception. Research interests emphasize tactile sensor development, sensor fusion with vision, and applying these technologies to real-world robotics challenges. Notable projects include the A Novel Parylene C Waveguide-Based High-Resolution Photonic Tactile Array Sensor (2025) and the An Intelligent Robotic System for Perceptive Pancake Batter Stirring (2024). His work bridges mechanical engineering, computer science, and electrical engineering, addressing challenges in robotics perception and control. Publications span high-impact journals like IEEE Transactions on Robotics and Advanced Materials Technologies, showcasing contributions to tactile robotics, sensor design, and automation. Collaborations include institutions globally, with a focus on tactile sensing applications in industrial robotics and human-robot interaction. He leads the Tactile Robotics research group at the Coordinated Science Lab, advancing next-generation tactile systems.
Gergely Csibra is a Professor and Principal Investigator at the Central European University. He leads the Cognitive Development Center, focusing on cognitive development in human infants, particularly how infants understand actions, social interactions, and communication. His research employs behavioral and neuroimaging methods to explore topics like social cognition, episodic memory, and symbol use. His academic background spans developmental psychology and cognitive science. Current and former PhD students include Mariem Diané, Denis Tatone, and others. Csibra’s work emphasizes methodological diversity, integrating experimental and theoretical approaches. Research interests include infants' understanding of social relationships, mental state attribution, and symbolic representation. His studies investigate how infants interpret communication, learn from others, and form social evaluations. Key themes involve the cognitive foundations of cooperation and communication in early development. Despite prolific publication output (over 100 articles listed), no explicit scientific awards are cited in the provided text. His lab, the Cognitive Development Center, serves as a hub for collaborative research projects and methodological innovation in developmental science.
Shahram Payandeh is a Professor of Engineering Science at Simon Fraser University (SFU), affiliated with the School of Engineering Science within the Faculty of Applied Sciences. He holds a Ph.D. from the University of Toronto (1990), M.A.Sc. (1986), and B.Sc. (1981). His research focuses on robotics, geometrical robotics, networked dynamical systems, and medical robotics, with emphasis on haptic devices, multi-view tracking, and multi-modal interaction in serious games. Education: Ph.D., University of Toronto, Canada, 1990 M.A.Sc., University of Toronto, Canada, 1986 B.Sc., University of Akron, United States, 1981 Research Interests: Robotics and medical robotics applications Geometrical robotics and sensor networks Multi-view tracking and haptic rendering Networked dynamical systems and decision support His work spans visual tracking algorithms, sensor calibration, and teleoperation systems, with practical applications in healthcare and elderly care technology. Teaching: ENSC 482: Introduction to Decision Making in Engineering ENSC 890: Advanced Robotics: Mechanics and Control Labs & Facilities: Associated with the Engineering Science Research Lab (erl.ensc.sfu.ca) Office: ASB 10829
Mircea Nicolescu is a Professor in the Department of Computer Science and Engineering at the University of Nevada, Reno. He holds a Ph.D. (2003) and M.S. (1999) from the University of Southern California, and a B.S. (1995) from Polytechnic University Bucharest. He co-directs the Computer Vision Laboratory . His research focuses on computer vision , particularly in video content understanding , surveillance systems , robotic vision , and human-computer interaction . Key areas include robust tracking in dynamic scenes, autonomous navigation, and gesture/face recognition. Recent work addresses maritime safety, cryptocurrency forecasting, and robotic task parameter estimation via multimodal data fusion. He has published over 100 peer-reviewed articles and holds a U.S. patent for 'Fast Digital Pan-Tilt-Zoom Video'. His work has earned a Best Paper Award Finalist distinction (2021). Teaching responsibilities include Programming Languages and Advanced Computer Vision courses. Collaborative projects involve multi-agent systems, intent recognition, and spiking neural networks for pattern analysis.
Giulia Michieletto serves as an Assistant Professor (RTD-A) at the Department of Management and Engineering, University of Padova, where she leads research in networked control systems and multi-agent robotics. She is a core member of the SPARCS research team and holds the position of publicity and dissemination lead for the IEEE Robotics and Automation Society's Technical Committee on Multi-Robot Systems. Her academic foundation includes a Laurea Degree in Automation Engineering (2014) and a Ph.D. in Information Engineering (2018), both from the University of Padova, supplemented by a Visiting Researcher appointment at LAAS-CNRS (2016-2017) funded by the Eiffel Scholarship Program. Michieletto's research centers on multi-agent system modeling with specialized focus on aerial vehicle formations and nanosatellite coordination . She pioneers thrust-vectoring aerial platform design for enhanced environmental interaction, while advancing theoretical frameworks in bearing rigidity theory. Her work spans wireless sensor networks for environmental monitoring, multi-camera systems for cooperative tracking, and ground robotics for autonomous manipulation, addressing critical challenges in robustness, security, and distributed control. Analysis of her publication trajectory reveals deep integration of bearing rigidity theory with practical aerial robotics applications, evolving toward cybersecurity-enhanced navigation and distributed estimation for sensor networks. Recent work demonstrates increasing sophistication in handling GNSS spoofing attacks, multi-robot formation control under disturbances, and real-time surveillance systems. Her scientific recognition includes: Eiffel Scholarship Program of Excellence (2016) Finalist for IEEE RAS Italian Chapter Fabrizio Flacco Young Author Best Paper Award (2019) As an active educator, Michieletto supervises master's theses on contact-aware aerial robotics and mobile manipulation while securing research leadership as Principal Investigator for the Contact-Aware Robotics (CAR) project and co-PI for formation control research. Her grant portfolio spans national initiatives including TSTARK and INTERACT, plus EU H2020's AEROARMS, frequently as fellowship recipient. She drives innovation within the SPARCS research ecosystem, focusing on networked control solutions for complex robotic systems operating in constrained environments.
David Irwin is a Professor in the Department of Electrical and Computer Engineering and an Adjunct Professor in the College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. He leads the Sustainable Computing Lab, focusing on designing energy-efficient distributed systems and improving sustainability in computing infrastructure. His roles include leading the Center for Smart and Connected Society (CS2) and affiliations with the Energy Transition Institute and the Center for Data Science. Education: PhD in Computer Science from Duke University (2005) and BS in Computer Science and Mathematics from Vanderbilt University (2001). Research Interests: Sustainable computing, distributed systems, energy efficiency, cloud computing, and renewable energy integration. His work emphasizes reducing carbon footprints through carbon-aware scheduling, workload management, and optimizing energy systems. Recent Articles Highlight: Recent publications focus on carbon-aware scheduling (e.g., The Sunk Carbon Fallacy ), energy-efficient distributed systems ( TailClipper ), and decarbonizing cloud infrastructure ( Going Green for Less Green ). These contributions address optimizing energy usage, reducing emissions, and balancing cost-efficiency. Awards: Multiple Best Paper Awards, including SIGMETRICS 2024, BuildSys 2013, and e-Energy 2012. Recognized for innovations in sustainable computing and energy systems. Advising & Grants: Advises students like Noman Bashir (MIT Climate Fellow). Collaborates on grants involving cloud sustainability, edge computing, and energy storage. Leads initiatives like the Open Cloud Testbed (OCT) for cloud research. Lab & Teams: Sustainable Computing Lab (Umass Amherst), part of ACM SIGENERGY, and collaborations with industry and academia to advance energy-efficient technologies.
Joana Ozorio de Almeida Meroz is an Assistant Professor at the Faculty of Social Sciences and Humanities of Vrije Universiteit Amsterdam, specializing in Art and Culture, History, Antiquity . She coordinates the Design track of the Media, Kunst, Design en Architectuur (MKDA) BA program and teaches in the Design Cultures MA. Her research bridges design history, environmental humanities, and public policy, focusing on transnational material politics and the intersection of artifacts with cultural narratives. Education: PhD in Transnational Material Politics (VU Amsterdam, 2018) MPhil in Critical Studies in Art and Culture (VU Amsterdam) MDes in Contextual Design (Design Academy Eindhoven) BFA in Ceramics (Gerrit Rietveld Academy) Research Interests: Material culture, environmental humanities, design policy, transnational cultural exchange, and the role of infrastructure in shaping design narratives. She examines how materials and objects enable or disable cultural representations across borders. Awards: Aspasia Grant (2019) GO Europe Prize (2019) Corona Call Awards (2020, 2021) BKO- and SKO Alumni Fund Grant (2023) Projects & Activities: Principal Investigator for Decolonizing Sustainability Research (2022) Co-editor of Journal of Design History special issue on Dutch design (2016) Editorial roles at Stedelijk Studies Journal and ARIAS Lectures on post-life design and transcultural collaboration Affiliations: Amsterdam Sustainability Institute, where she contributes to sustainability transitions in arts and humanities curricula through collaborative projects like Sustainable for Students, Staff, Society .
Dr. Sandeep Singh Sengar is a Senior Lecturer in Computer Science at Cardiff Metropolitan University, United Kingdom. Prior to his current role, he served as a Postdoctoral Research Fellow at the Machine Learning Section of the Computer Science Department at the University of Copenhagen, Denmark. His academic journey includes a Ph.D. in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, and an M. Tech. in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India. Sengar actively engages in research collaboration and has organized special sessions and delivered keynote presentations at international conferences. Education: Dr. Sengar holds the following academic qualifications: Ph.D. in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India M. Tech. in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India Research Interests: Dr. Sengar's research focuses on advanced applications of machine/deep learning and computer vision, particularly in healthcare diagnostics and cybersecurity. His work combines theoretical methodologies with practical implementations, including: Medical Image Segmentation (e.g., brain tumors, functional connectivity) Motion Segmentation and Tracking for surveillance and activity recognition Visual Object Tracking and Recognition in dynamic environments Video Compression techniques leveraging adaptive optimization Cybersecurity frameworks targeting DDoS attack mitigation Exploring Metaverse applications in healthcare and AI ethics Publications Trends: His recent articles emphasize interdisciplinary innovation, with a strong focus on healthcare AI and cybersecurity. Key themes include hybrid neural networks for medical imaging, entropy-driven frameworks for neurological disorders, and proactive network threat detection using deep learning. He also investigates emerging technologies like the Metaverse's role in healthcare systems and generative AI's broader applications. Scientific Awards: No scientific awards were explicitly mentioned in the provided texts. Advising & Grants: While Dr. Sengar has not listed formal advisees or grant details, his research mentorship is evident through collaborative projects and conference contributions. He actively participates in organizing special sessions and peer-review processes, fostering academic-industry partnerships. Labs & Teams: Though no specific labs are named, his work aligns with Cardiff Met's research centers and innovation initiatives, such as the PDR International Centre for Design and Research and ZERO2FIVE Food Industry Centre.
Senem Velipasalar is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at Syracuse University, affiliated with the Smart Vision Systems Laboratory and the Aging Studies Institute. She holds a Ph.D. and M.A. from Princeton University, an M.S. from Brown University, and a B.S. from Bogazici University. Her research focuses on machine learning, computer vision, and wireless smart camera systems, with applications in human activity classification, driver behavior analysis, and defense against adversarial attacks. Her honors include the NSF CAREER Award (2011), 2021 IEEE Technological Innovation Award, and multiple doctoral prizes for her advisees. She leads grants totaling over $4M, including ARPA-E projects on occupancy detection and DOE-funded research on aerial energy modeling. Research interests span embedded vision, distributed multi-camera tracking, and energy-efficient algorithms. Her lab develops technologies like wearable camera-based fall detection and autonomous UAV navigation. Notable publications include works on adversarial attacks, fNIRS brain activity analysis, and thermal pedestrian detection.
Dr. Koteswar Rao Jerripothula is an Assistant Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in the SPCOM stream. Previously, he served as an Assistant Professor at Indraprastha Institute of Information Technology Delhi (IIIT-Delhi). He holds a PhD from Nanyang Technological University (Singapore) and a BTech from IIT Roorkee. His research focuses on Computer Vision, Artificial Intelligence, and Multimedia Signal Processing, with applications in healthcare informatics and federated learning. Education: PhD (2017), Nanyang Technological University BTech (2012), Indian Institute of Technology Roorkee Research Interests: Computer Vision and Image Processing Multimedia Computing and Systems Artificial Intelligence and Machine Learning Computational Health and Biomedical AI His Visual Intelligence and Multimedia Signals (VIMS) Lab explores topics like co-saliency detection, federated learning, and light-weight biometrics. The lab seeks students with strong coding and communication skills. Contact: vims.iitk@gmail.com.
