Richard Ashley is an Associate Professor at Northwestern University's Bienen School of Music, specializing in Music Theory and Cognition. He also contributes to the university's cognitive science program. Education: Doctor of Musical Arts (DMA) from University of Illinois at Urbana-Champaign His research focuses on music cognition , particularly in expressive performance , musical communication , and long-term memory for music . He has secured significant funding from Fulbright grants, the National Endowment for the Humanities, the Netherlands Science Foundation, and the U.S. Department of Education. Scientific Awards: Bienen School of Music Exemplar in Teaching Award As a founding member of the Society for Music Theory and former President of the Society for Music Perception and Cognition, Ashley has shaped academic discourse in his field. His work bridges musical theory with cognitive science.
Caroline Lemieux is an Assistant Professor at the Department of Computer Science, University of British Columbia (UBC), with research focused on advancing software correctness, security, and performance through innovative testing and synthesis techniques. Her work bridges Programming Languages and Software Engineering , particularly in fuzz testing, specification mining, and program synthesis. PhD from University of California, Berkeley (2021), advised by Koushik Sen Postdoctoral researcher at Microsoft Research, NYC (2021-2022) Key contributions: FuzzFactory , CodaMOSA , Arvada , and Gauss Her research integrates machine learning with traditional testing methods, exemplified by projects like RLCheck (reinforcement learning for test generation) and AutoPandas (neural synthesis for dataframes). Recent publications analyze generator-based fuzzing challenges and propose hybrid strategies combining coverage feedback with AI-driven insights. Scientific Awards : ACM/SIGSOFT Best Paper Award (ESEC/FSE 2019) ACM/SIGSOFT Tool Demonstration Award (ISSTA 2019) ACM/SIGSOFT Distinguished Artifact Award (ISSTA 2019) NSERC Postgraduate Scholarship-Doctoral (PGS D) UBC Governor General's Silver Medal (2016) Teaching roles include: 2025W2: CPSC 539L - Topics in Programming Languages 2024W2: CPSC 410 - Advanced Software Engineering 2023W2: CPSC 410 (with Alex Summers) She supervises graduate and undergraduate researchers working on projects like ExploTest (automated unit test generation) and GRIMOIRE (grammar extraction from pseudo-rules). Her research team collaborates with institutions including Microsoft Research, Google, and academic partners in systems security and AI-driven testing.
Margaret P. Chapman is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Toronto's Faculty of Applied Science and Engineering. She leads the DATA Lab (Decision Analysis for Trustworthy Autonomy), focusing on risk-averse and stochastic control theory with applications to environmental and human health. Education: B.S. and M.S. in Mechanical Engineering from Stanford University (2012, 2014), Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley (2020, advised by Claire Tomlin) Her research bridges robust and stochastic optimal control via risk measure theory, emphasizing safety-critical applications in healthcare and sustainable cities. Key challenges include scalable risk-sensitive control methods, integrating physics-based and data-driven models for safety analysis, and promoting technologies that enhance planetary and human well-being. Recent publications focus on risk-averse autonomous systems, CVaR-based safety analysis, and multi-time-scale modeling for cancer treatment. She has advised students in both graduate and undergraduate research roles, including NSERC awardees and thesis participants. Awards: US National Science Foundation Graduate Research Fellowship, Berkeley Fellowship, Terman Engineering Scholastic Award, Leon O. Chua Award She teaches courses like ECE 557 (Linear Control Theory) and ECE 1643 (Risk-Averse Control with Learning). Her invited talks span institutions such as MIT, Princeton, and Georgia Tech, highlighting risk-sensitive analysis and control for trustworthy autonomy.
Olivier David Zerbib is an Assistant Professor of Sustainable Finance at CREST, ENSAE, Institut Polytechnique de Paris, and serves as an Associate Editor for the Review of Finance. His research bridges financial theory with environmental sustainability, focusing on market mechanisms for ecological challenges. His primary research areas include sustainable finance, environmental finance, and asset pricing, with specific expertise in green bonds, biodiversity valuation, and climate impact investing. He investigates how pro-environmental preferences influence pricing mechanisms, develops sustainable asset pricing models, and examines shareholder engagement strategies to curb greenwashing through quantitative methodologies. Analysis of his publications reveals a cohesive trajectory toward integrating environmental metrics into core financial frameworks, with significant contributions spanning green bond markets, sustainable CAPM development, and biodiversity economics. His work demonstrates methodological rigor through score-driven conditional betas and empirical validation across global markets. Dr. Zerbib's scientific recognition includes: #1 most cited article in the Journal of Banking and Finance over 3 and 5 years (2019) SUERF/UniCredit Research Prize (2018) Multiple Best Paper Awards at international finance conferences (2017-2020) European Investment Forum Research Prize Finalist (2021) He co-organizes the CMAP-CREST Quantitative Sustainable Economics and Finance seminar series with Patricia Crifo, Emmanuel Gobet, Peter Tankov, and Gauthier Vermandel, fostering collaboration between Ecole Polytechnique and ENSAE on quantitative approaches to sustainability challenges. His presentation record spans elite institutions including LSE, Yale, and the European Commission Joint Research Center.
Dr Muhammad Abid serves as Lecturer in Mechanical Engineering at Ulster University's School of Computing, Engineering and Intelligent Systems on the Derry~Londonderry campus, where he also coordinates Degree Apprenticeships for Mechanical and Manufacturing Engineering programmes, driving industry-academia collaboration for workforce development. His academic credentials include a PhD in Applied Thermodynamics from Ulster University and a Postgraduate Diploma in Academic Practice from the University of Liverpool, complemented by over 15 years of international experience across UK and Middle Eastern institutions. Research focuses on decarbonizing thermal systems through advanced heat pump technologies, with expertise spanning applied thermodynamics, energy efficiency optimization, and sustainable heating/cooling solutions for residential applications. His work directly addresses UN Sustainable Development Goals through climate-resilient engineering innovations. Recent publications demonstrate consistent investigation into heat supply temperature effects on system performance and economics, establishing critical relationships between operating parameters, housing characteristics, and decarbonization pathways for domestic heating. Professional recognition includes: Chartered Mechanical Engineer (CEng MIMechE) Fellow of Advance HE (FHEA) As an educator, Dr Abid implements Education for Sustainable Development principles across curricula while supervising postgraduate research. He actively shapes sector policy through IMechE's Energy, Environment and Sustainability Group Board membership and serves as a Climate STEM Ambassador advancing public engagement with climate solutions.
Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.
Giorgio Grisetti is a Full Professor at Sapienza University of Rome within the Department of Systems and Computer Science, maintaining active research roles in the RoCoCo lab at Sapienza since November 2010 and the Autonomous Intelligent Systems Lab at Freiburg University where he previously served as a Post Doc under Wolfram Burgard starting in 2006. His educational background includes a M.Sc. in Computer Engineering from the University of Rome (2001) and a Ph.D. from Sapienza University of Rome's Intelligent Systems Lab (2006), supervised by Daniele Nardi. His doctoral thesis focused on SLAM using Rao-Blackwellized particle filters. Dr. Grisetti's research centers on mobile robotics with emphasis on robust solutions for autonomous navigation systems. His work spans theoretical and practical advancements in Simultaneous Localization and Mapping (SLAM), robot localization, path planning, and sensor fusion, particularly leveraging LiDAR and multi-sensor configurations. Recent publications demonstrate strong focus on optimization techniques, sensor calibration, and real-time performance for autonomous systems operating in complex environments. His publication trends reveal deep specialization in LiDAR-based SLAM (7 of 15 recent articles), bundle adjustment methods (4 articles), and sensor calibration/perception (3 articles), with consistent contributions to top robotics venues like IEEE Robotics and Automation Letters and ICRA. Key recognitions include: Nomination for the best IROS paper award (2010) Open Source achievement award from Willow Garage (2010) Best paper award at the International Conference and Exhibition on Unmanned Areal Vehicles (2010) Best Paper award at ICRA 2009 (2009) His research is conducted through the RoCoCo lab at Sapienza University of Rome and the Autonomous Intelligent Systems Lab at Freiburg University, focusing on developing foundational algorithms for mobile robot autonomy. Current projects emphasize robust perception systems, optimization frameworks for sensor fusion, and practical implementations for real-world navigation challenges.
Masaki Nishida is a Professor at the Faculty of Sport Sciences , Waseda University, and Vice President of the Health Support Center at the same institution. He also serves as Chief of the Sleep Research Institute . His research bridges Sleep Science , Sports Medicine , and Clinical Psychiatry , with a focus on the interplay between sleep, cognitive function, and athletic performance. Education: Tokyo Medical and Dental University, Faculty of Medicine (1996) His work has significantly advanced understanding of napping interventions for athletes, sleep quality in competitive divers, and neurophysiological mechanisms linking sleep spindles to memory consolidation. Current research projects include a 2024-2027 study on functional bedding effects funded by Japan Society for the Promotion of Science. Scientific awards include the 15th Japanese Society of Sleep Research Encouragement Award (2010) and the 88th Japanese Society for Occupational Health Award (2015). His publications span topics like REM sleep's role in emotional memory , sleep inertia , and motor adaptation , with recent emphasis on international sports psychiatry standards . He actively contributes to professional societies including the Japanese Association of Sports Psychiatry (Chairman) and Society for Neuroscience .
Sandy J. Wayne serves as Dean of the College of Business Administration and Professor of Management at the University of Illinois Chicago (UIC), where she leads academic initiatives while maintaining an active research program. An internationally recognized expert in workplace leadership, her work focuses on developing high-performing employees through effective team leadership and organizational practices that enhance motivation and performance. She also investigates systemic barriers affecting the upward mobility of women and people of color in corporate environments. Dr. Wayne earned her academic credentials from: PhD in Management, Texas A&M University MBA, Illinois State University BS in Business Administration, Illinois State University Her research program spans leadership dynamics, organizational behavior, and diversity science. She examines how manager-employee relationships impact engagement and performance, with particular emphasis on work-family balance and career trajectory barriers for underrepresented groups. Her work bridges theoretical rigor with practical applications for organizations seeking to build inclusive, high-performance cultures through evidence-based leadership development. Analysis of her recent publications (2014-2024) reveals three dominant research streams: leader-member exchange theory (particularly LMX differentiation effects), servant leadership measurement and outcomes, and diversity dynamics in advancement pathways. Her work consistently appears in top-tier journals like Journal of Applied Psychology and Academy of Management Journal , demonstrating methodological sophistication through multi-level analyses and cross-cultural investigations. Dr. Wayne's scientific contributions have earned significant recognition: Decennial Influential Article Award for 2015 publication (2025) University Scholar, University of Illinois System (2020-2023) Faculty Impact Award, UIC Business (2019) Fellow, Academy of Management (2019) Decennial Influential Article Award for 2008 publication (2018) As Director of the Institute for Leadership Excellence and Development since 1996, she has cultivated a robust research ecosystem while leading institutional initiatives like the UIC Business Cohort Program and Business Scholars Program. Her administrative leadership extends to faculty development through her former role as Associate Dean for Faculty Affairs (2014-2022), demonstrating sustained commitment to academic excellence and organizational growth.
David J Mehlman, MD serves as an Associate Professor in the Department of Medicine (Cardiology) at Northwestern University's Feinberg School of Medicine, with clinical practice at Northwestern Memorial Hospital. His expertise spans echocardiography, general cardiology, and prosthetic heart valve disease management. His academic training includes: MD from Johns Hopkins University (1973) Internal Medicine Intern at Johns Hopkins Hospital (1974) Medicine Resident at Johns Hopkins Hospital (1976) Cardiology Fellowship at University of Chicago Hospitals (1978) Dr. Mehlman's research focuses on structural heart disease mechanisms and diagnostic applications, particularly in valve prostheses evaluation and exercise-induced cardiac adaptations. His work bridges clinical cardiology with cardiovascular imaging techniques to address complications in valvular interventions and transplant-related cardiomyopathies. His publication history reveals consistent contributions to cardiovascular pathology, with emphasis on aortic homograft performance, amyloidosis-related cardiac deterioration, and athlete physiology. Key methodologies involve advanced echocardiography and radiofrequency ultrasound for prosthetic valve assessment. He maintains prestigious recognition as a Castle Connolly Top Doctor across multiple years: Castle Connolly Top Doctor (2019) Castle Connolly Top Doctor (2018) Castle Connolly Top Doctor (2017) Castle Connolly Top Doctor (2016) Castle Connolly Medical Top Doctor (2006) Castle Connolly Medical Top Doctor (2005) Castle Connolly Medical Top Doctor (2005) Castle Connolly Medical Top Doctor (2004) Board certified in Internal Medicine and Cardiovascular Disease by the American Board of Internal Medicine, Dr. Mehlman integrates clinical practice with ongoing research in structural heart disease while adhering to Northwestern's professional disclosure standards.
Dr. Amin Sakzad is an Associate Professor in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. His research focuses on lattice-based cryptography, wireless communications, and post-quantum security protocols. He holds a PhD in Applied Mathematics from Amirkabir University of Technology (2011) and has held academic roles at Carleton University and Monash since 2012. Dr. Sakzad’s expertise spans lattice coding theory, MIMO systems, and privacy-preserving technologies for genomic databases and blockchain applications. He leads multiple ARC-funded projects, including work on secure databases (SRDBMS) and post-quantum cryptographic primitives for FinTech and energy sectors. His research has been recognized through awards such as the FIT Dean’s Award for Teaching Excellence (2021). Key collaborations include projects on blockchain security (CollinStar Lab), genomic data privacy, and energy market cybersecurity. His work addresses UN SDGs through contributions to quality education (SDG 4) and industry innovation (SDG 9). Recent publications highlight advancements in lattice-based cryptography (e.g., CRYSTALS-Kyber variants), privacy-preserving energy trading, and secure blockchain protocols like FPPW watchtower systems. His research bridges theoretical cryptography with practical implementations in embedded systems and 5G telecommunications. Grants: 16 active/completed projects including $1.2M in ARC funding Advising: Supervising PhD projects on lattice applications in post-quantum crypto and blockchain Labs: Core member of Monash’s Software Defined Telecommunications (SDT) Lab and CollinStar Lab
Hadi Esmaeilzadeh is an Associate Professor at the University of California, San Diego in the Department of Computer Science and Engineering . He leads the Alternative Computing Technologies (ACT) Laboratory and serves as Associate Director of the Center for Machine Integrated Computing and Security (MICS) . Previously, he was an Assistant Professor at Georgia Institute of Technology. Ph.D., Computer Science and Engineering, University of Washington (2013) Research focuses on computer architecture , machine learning acceleration , and approximate computing His work has produced 15+ publications spanning IEEE Micro Top Picks , CACM Research Highlights , and ISCA . Key projects include: Tabla : Cross-stack ML acceleration framework DnnWeaver : Open-source DNN acceleration platform Major honors include: IEEE TCCA Young Computer Architect Award ISCA Hall of Fame Qualcomm Innovation Fellowship Georgia Tech PURA Award Teaching roles: CSE 141: Introduction to Computer Architecture CSE 240D: Accelerator Design for Deep Learning CSE 240A: Principles of Computer Architecture
Dr Nima Izadyar serves as a Senior Lecturer and Course Chair of the Bachelor of Building Surveying (NBBS) at Victoria University's School of Built Environment and Engineering within the College of Sport, Health and Engineering. He leads curriculum innovation, applied research, and student-industry engagement in building regulation and performance. His educational background includes a PhD from Queensland University of Technology (QUT), Australia (2020), with academic and research experience spanning Australia, Southeast Asia, and the Middle East. Dr Izadyar's research focuses on developing practical, data-driven solutions for sustainable built environments. His work connects engineering principles with building science to improve indoor environmental quality, enhance ventilation performance, and integrate renewable energy systems. He has secured competitive funding for projects targeting sustainable housing design, digital transformation in construction, and energy efficiency through nature-based and AI-enabled solutions. His research output appears in high-impact journals in building, energy, and sustainability fields. His scholarly contributions have been recognized with prestigious awards including the Signato Medal and the AIRAH Higher Education and Research Award. Signato Medal AIRAH Higher Education and Research Award As an academic supervisor, Dr Izadyar mentors HDR students on critical topics including greening private outdoor spaces for improved indoor environmental quality, regulatory frameworks in Class 2 buildings, ventilation system optimization, occupant-centric window design, and BIM integration in construction education. His supervision approach emphasizes applied systems thinking, interdisciplinary collaboration, and alignment with national sustainability goals. He has secured competitive funding for projects targeting sustainable housing design, digital transformation in construction, and energy efficiency solutions. Dr Izadyar actively contributes to industry engagement through international collaborations that generate tangible outcomes in the built environment, serving as a reviewer, editor, and guest editor for scholarly publications while maintaining strong connections with industry partners to bridge research and practice.
Dr. Li Chen is an Alfred and Helen Lamson/BORSF Endowed Associate Professor in the School of Computing and Informatics at the University of Louisiana at Lafayette. She leads the CELESTIAL research lab, focusing on distributed systems and networking for machine learning and AI. Her research interests include federated learning, cloud computing, and resource optimization. Dr. Chen holds a Ph.D. from the University of Toronto and has received awards such as the NSF EPSCoR RII Track-4 grant and the BoRSF Endowed Professorship. Education: Ph.D. (2018), M.A.Sc. (2015) in Electrical and Computer Engineering from University of Toronto; B.Eng. (2012) in Computer Science from Huazhong University of Science and Technology. She also visited Hong Kong Polytechnic University (2013-2014). Research spans federated learning frameworks (e.g., SEAFL, FedClust), cloud resource scheduling (e.g., Hadar, HarmonyBatch), and applications in weather forecasting (e.g., MMST-ViT). Her work is supported by NSF, Louisiana BoRSF, and industry partners like XRMedix. Awards include the Alfred and Helen Lamson/BORSF Endowed Professorship (2024-2027), NSF EPSCoR grant (2024-2026), and best paper recognitions at IEEE conferences. She advises a diverse group of graduate students and has supervised alumni now in academia and industry. Teaching includes courses on computer networks, operating systems, and distributed systems. She organizes workshops and tutorials (e.g., 2023 Summer Tutorial on ML & Meteorology) and serves on conference committees such as INFOCOM and IWQoS.
Gregory D. Hager is the Mandell Bellmore Professor of Computer Science at Johns Hopkins University, with joint appointments in Electrical and Computer Engineering, Mechanical Engineering, and the Department of Surgery at the School of Medicine. He serves as the head of the NSF's Computer and Information Science and Engineering Directorate (as of 2024) and is the founding director of the Johns Hopkins Malone Center for Engineering in Healthcare. Previously, he chaired the Department of Computer Science from 2010-2015 and served as deputy director of the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology. Hager's research focuses on collaborative and vision-based robotics, time-series analysis of image data, and medical applications of image analysis and robotics. His work spans surgical robotics, human-machine collaboration, and computer vision with applications in healthcare. As director of the Computational Interaction and Robotics Lab (CIRL), he investigates dynamic spatial interaction at the intersection of imaging, robotics, and human-computer interaction. His research has led to real-world applications in surgical training, medical imaging, diagnostics, and computer-enhanced interventional medicine. Hager's publications demonstrate consistent advancement in surgical data science, with recent work focusing on 3D reconstruction from endoscopic video, surgical skill assessment using AI, and robotic assistance in neurosurgery. His research trajectory shows increasing integration of deep learning with surgical robotics, particularly in real-time guidance systems and objective skill assessment metrics. IEEE Fellow MICCAI Fellow ACM Fellow AIMBE Fellow AAAS Fellow MICCAI Best Paper Award (2006) Fulbright Junior Faculty Award (1988) Morris Ruben Outstanding Dissertation Award (1988) Hager has advised numerous PhD students who have become leaders in computer vision and medical robotics. His lab has secured significant research funding, including NSF Engineering Research Center support. He co-founded two successful startups: Clear Guide Medical (ultrasound-guided procedures) and Ready Robotics (industrial robot usability). As chair of the Computing Community Consortium and member of the International Federation of Robotics Research board, he has shaped national research agendas in computing and robotics. Hager leads the Computational Interaction and Robotics Lab (CIRL), which is associated with the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST) and the Laboratory for Computational Sensing and Robotics (LCSR). His team collaborates extensively with clinicians at Johns Hopkins Hospital to translate robotics research into clinical practice.
