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Martha MurrayView profile

Professor

• Anterior Cruciate Ligament (ACL) injury and repair
• Sports medicine
• Orthopedic surgery
• +6 more

Martha Murray, MD, is Professor of Orthopedic Surgery at Harvard Medical School and Orthopedic Surgeon-in-Chief in the Department of Orthopedics and Sports Medicine at Boston Children’s Hospital. An internationally recognized authority on ACL injuries, she pioneered the FDA-approved Bridge-Enhanced ACL Restoration (BEAR) technique that enables the torn ligament to heal without graft harvest. Her clinical practice focuses on knee injuries in athletes of all ages, while her NIH- and NFL-PA-funded research program integrates tissue engineering, quantitative MRI, and translational large-animal models to prevent post-traumatic osteoarthritis. Education & Training BS, Mechanical Engineering, University of Delaware, 1987 MS, Materials Science and Engineering, Stanford University, 1990 MD, University of Pennsylvania, 1994 Internship, Massachusetts General Hospital, 1995 Residency, Harvard Combined Orthopedic Residency Program, 1999 Fellowships, Pediatric Orthopedics & Sports Medicine, Boston Children’s Hospital, 2002 Research Focus Dr. Murray’s work centers on understanding why the ACL fails to heal and developing in-situ biologic solutions that restore native ligament anatomy while limiting secondary osteoarthritis. Her laboratory has created collagen-platelet scaffolds, optimized quantitative MRI biomarkers (T2*, volumetrics), and leveraged multi-omics profiling to monitor ligament remodeling. Recent efforts apply deep-learning models to predict reinjury risk and integrate telehealth to reduce disparities in pediatric sports-medicine care. Scientific Awards Kappa Delta Award – highest research honor in orthopedic surgery Cabaud Memorial Award – premier award in sports-medicine research Clinical Trials & Funding She is principal investigator on FDA-regulated first-in-human and multi-center randomized trials validating the BEAR technique, supported by the NIH and the NFL Players Association. These studies demonstrated non-inferiority to traditional ACL reconstruction at two years while preserving proprioception and native anatomy. Ongoing work examines six-year outcomes and long-term osteoarthritis prevention. Labs & Teams Dr. Murray directs the Sports Medicine Research Laboratory at Boston Children’s Hospital, uniting orthopedic surgeons, bioengineers, imaging scientists, and data scientists to advance ligament repair technologies from bench to bedside.

• Compiler Optimization
• High Performance Computing
• Computer Architecture
• +2 more

Dr. J Nelson Amaral is a Professor in the Department of Computing Science within the Faculty of Science at the University of Alberta. His research focuses on compiler optimization techniques that enhance performance in modern computing architectures through clever code transformations. Educational background includes B.Sc. in Electrical Engineering (PUCRS), M.Sc. in Electrical Engineering (ITA), and Ph.D. in Electrical and Computer Engineering (University of Texas at Austin). Research interests span compiler optimizations for resource utilization, learning technology applications in compilation processes, and feedback-directed optimization efficiency improvements. Current investigations include instruction-level parallelism exploitation, code transformations for heterogeneous architectures, and machine learning-enhanced compilation. Publication analysis reveals strong focus on compiler techniques for performance optimization, particularly for matrix operations, convolution algorithms, and memory hierarchy management. Recent work emphasizes hardware-software co-design for specialized processors and auto-vectorization methods. University of Alberta Faculty of Science Excellence in Teaching Award (2015) Distinguished Engineer, Association for Computing Machinery (2014) Distinguished Speaker, Association for Computing Machinery (2012-2014) Interdepartmental Science Students' Society Award for Excellence in Teaching (2014) IBM Center for Advanced Studies Research Faculty Fellow of the Year (2012) Research includes industry collaborations through the IBM-CAS partnership. Contributes to computing education through curriculum development and student mentoring. Leads compiler optimization research at the IBM Center for Advanced Studies, focusing on performance improvements for enterprise workloads and specialized hardware.

Hossam GaberView profile

Professor

• Resilient Smart Energy Grids
• Advanced Plasma Generation for Fusion Energy
• Nuclear Power Plant Safety Systems
• +3 more

Dr. Hossam Gaber is a Professor in the Department of Energy and Nuclear Engineering at Ontario Tech University, within the Faculty of Engineering and Applied Science. He holds a PhD in Safety Engineering from Okayama University, Japan, and is a Professional Engineer (PEng) and Fellow of the Institution of Engineering and Technology (IET). His research focuses on resilient energy systems, nuclear safety, and advanced plasma applications. Education: PhD (Safety Engineering), Okayama University, Japan MSc (Computer & Automatic Control), Alexandria University, Egypt BSc (Computer & Automatic Control, First-class Honours), Alexandria University, Egypt Dr. Gaber’s research interests span resilient smart energy grids, fusion energy plasma generation, nuclear power plant safety systems, fault diagnosis, risk-based energy conservation, and process systems engineering. He has authored over 30 peer-reviewed publications and holds several awards, including the Ontario Tech Achievement Award (2017-2018) and the IEEE Best Paper Award (2007). He teaches advanced courses such as Advanced Energy Process Control , Hybrid Energy System Design , and Reactor Control . His work emphasizes interdisciplinary solutions for energy sustainability and industrial safety.

Sharmistha RayView profile

Assistant Professor

• Queer Identity
• Immigration Studies
• Art Abstraction
• +4 more

Sharmistha Ray is the Estella Loomis McCandless Assistant Professor of Art at the School of Art, Carnegie Mellon University. Their interdisciplinary practice explores queer identity, immigration, and cultural abstraction through painting, drawing, sculpture, installation, curation, and pedagogy. Ray holds a BA from Williams College and dual degrees (MFA in Painting and MS in Art Theory/Criticism) from Pratt Institute. Research & Practice: Ray’s work interrogates multicultural inheritances via abstraction, blending Western and non-Western frameworks. Collaborative projects include co-founding the feminist art collective Hilma’s Ghost , which focuses on research-driven artistic production and pedagogy. Exhibitions span global venues like The Armory Show (NY), India Art Fair (Delhi), and Mexico City’s Gallery RGR. Awards & Grants: Montblanc Young Artist Worldwide Patronage Award TED Fellowship Joan Mitchell MFA Grant Teaching & Leadership: Previously taught at Parsons School of Design, Rhode Island School of Design, and CMU’s MFA program. Engages in community-driven initiatives through workshops and lectures on magic, mysticism, and identity. Notable Work: Featured in Cosmic Earth No. 5/7 (2018), combining automatic writing with layered abstraction. Active in curatorial and critical writing, furthering dialogues on intersectional art practices.

Charles LeisersonView profile

Professor

• Computer Science
• Algorithms
• Parallel Computing
• +4 more

Charles Leiserson is the Edwin Sibley Webster Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT. He is renowned for co-authoring the seminal textbook Introduction to Algorithms , now in its fourth edition, which is widely used globally. His research focuses on algorithms, parallel computing, and software performance engineering, with contributions to theoretical computer science and practical systems like the Cilk multithreaded language and the Connection Machine CM-5 architecture. Leiserson’s work spans compiler design (e.g., Pochoir for stencil computations) and high-performance computing frameworks. He explores post-Moore’s Law computational strategies, graph neural networks for financial forensics, and deterministic parallel algorithms. His educational contributions include courses like 6.172 (Performance Engineering of Software Systems) and initiatives in scalable graph learning. His research has led to innovations in parallel programming models, algorithm optimization, and hardware-software co-design. Leiserson’s interdisciplinary work bridges theory and practice, influencing both academic research and real-world applications in finance, cryptography, and supercomputing.

Prateek SAXENAView profile

Associate Professor

• Computer Security
• Machine Learning Security
• Trustworthy AI
• +4 more

Prateek SAXENA is an Associate Professor in the Computer Science Department at the School of Computing, National University of Singapore. He serves as Co-Director of the CRYSTAL Centre and teaches courses including CS3235 Computer Security and CS5562 Trustworthy Machine Learning. His research spans multiple domains within computer security and systems. Dr. SAXENA earned his Ph.D. in Computer Science from the University of California, Berkeley (2012), an M.S. in Computer Science from Stony Brook University (2007), and a B.E. in Computer Engineering from the University of Pune, India (2004). His research focuses on building better security and privacy in practical systems through principled approaches combining formal reasoning, tools and ideas from several computer science domains. Current research thrusts include machine learning security, decentralized systems security, security processors, and automatic program translation. His work has resulted in several practical artifacts powering real-world systems, including spinoffs like Zilliqa and Kyber Network. His publication record demonstrates consistent high-impact research across security domains including web security, blockchain, trusted execution environments, and machine learning security. His work shows a progression from foundational web security research to cutting-edge work on blockchain systems and machine learning security. MIT Technical Review, Top 10 Innovators under 35, Asia - 2017 Security and Privacy Research Award, 2018 Young Research Award, NUS, 2017 David J. Sakrison Memorial Prize for outstanding doctoral work, UC Berkeley, 2012 AT&T Best Applied Security Research Paper Award 2010 Dr. SAXENA has advised numerous successful PhD students who have gone on to prominent positions at Microsoft Research, Georgia Tech, ETH Zurich, and industry leaders like Zilliqa and Kyber. His research has been generously supported by CISCO Research, Google, Intel, Symantec, MoE-Singapore, DSO Labs, and NRF-Singapore. He leads the KISP Lab (Keep It Secure and Private), which has produced influential research in blockchain, trusted execution environments, and security tools.

• Control Systems
• Power Grids
• Hydraulic Networks
• +3 more

Mark Jeeninga is a Postdoctoral fellow at Lund University's Department of Automatic Control and ELLIIT: the Linköping-Lund initiative on IT and mobile communication. His research focuses on control systems, power grids, hydraulic networks, and actuator placement. He has contributed to understanding DC power grid feasibility, decentralized vehicle platooning control, and dynamic hydraulic network solutions through actuator optimization. His work combines theoretical analysis with practical applications in electrical and mechanical systems. Jeeninga's research has been published in prestigious conferences such as the European Control Conference and the IEEE Conference on Decision and Control. He is affiliated with the WASP NEST project focused on learning in networks, structure, dynamics, and control. His expertise spans interdisciplinary areas including power systems, nonlinear dynamics, and control theory.

• Robot Control
• Robotic Manipulation
• Human-Robot Interaction
• +7 more

Yiannis Karayiannidis is an Associate Professor at the Department of Automatic Control, Lund University, affiliated with the Faculty of Engineering (LTH). He holds additional roles as Project Manager at the Department of Automatic Control and member of strategic profile areas like AI and Digitalization. He is also part of the ELLIIT initiative focusing on IT and mobile communication. His research spans robot control, human-centered manipulation, force control, and multi-agent systems. He teaches courses such as Non-linear Control and Mathematical Modeling at the graduate level. Education: Doctorate in Robotics/Automatic Control (PhD details not explicitly stated) His research focuses on advancing robotic systems in dynamic environments, including navigation, interaction, and adaptive control strategies. Key contributions include predictive models for obstacle avoidance and decentralized control schemes for multi-agent systems. He has supervised multiple PhD students and contributes to research infrastructure like RobotLab LTH. His work is supported through grants including the WASP program and EU-funded initiatives.

• Control Engineering
• Computer Engineering
• Embedded Systems
• +6 more

Karl-Erik Årzén is a Professor and Head of Department at the Department of Automatic Control at Lund University. His research focuses on the intersection of control engineering and computer science, with emphasis on feedback-based resource management for embedded systems and cloud infrastructures. He is also involved in initiatives such as the Wallenberg AI, Autonomous Systems and Software Program (WASP) and contributes to profile areas like AI and Digitalization . Årzén has supervised over 35 academic works, including PhD and master’s theses. He has received multiple prestigious awards, including the Best Paper Award at RTCSA 2004 and RTNS 2016. His teaching spans courses like Real-Time Systems and Basic Control Theory . He holds leadership roles in academic networks, including memberships in the International Scientific Advisory Board of SMaRC and the Scientific Advisory Board of Aalto University . His research projects include AORTA (real-time application offloading) and Robust and Secure Control over the Cloud .

Elena DavittiView profile

Associate Professor

• Translation Studies
• Interpreting Technologies
• Hybrid Interpreting Modalities
• +4 more

Elena Davitti is an Associate Professor in Translation Studies at the University of Surrey, specializing in hybrid interpreting modalities, interlingual respeaking, and real-time speech-to-text transfer. She leads the MA Interpreting (Multilingual pathway) and MA Translation and Interpreting programs. With a PhD from the University of Manchester and an MA from the University of Bologna, her research focuses on technology-enabled multilingual communication, including video-mediated interpreting and AI applications in translation. Her current projects include the SMART initiative, exploring multilingual access through respeaking technology. She has prior experience as a freelance interpreter, translator, and trainer at institutions like the University of Leeds and UNINT, Rome. Research interests emphasize cognitive and interpersonal factors in human-AI collaboration, ASR tools for subtitling, and remote medical interpreting. She supervises PhD candidates studying interpreting technologies and hybrid modalities.

• Artificial Intelligence
• Constraint Programming
• Combinatorial Optimization
• +3 more

Prof Ian Miguel is a Professor and Head of the School of Computer Science at the University of St Andrews, a position he has held since 2004. His primary research focuses on Artificial Intelligence, particularly in combinatorial optimization and constraint programming. He leads efforts to automate the constraint modelling process through frameworks like the Constraint Modelling Pipeline, which translates high-level problem descriptions into efficient solver inputs. His work emphasizes improving solver performance through automated reformulation techniques and explores applications in planning, scheduling, and routing. He teaches courses on Constraint Programming (CS4402) and Video Games (CS4303). Research interests include automated constraint model generation, solver optimization, and cross-paradigm modelling. His contributions span academic publications, conference presentations, and collaborations on projects like Athanor (local search for abstract constraints) and TabID (subproblem identification in models). Notable achievements include developing Savile Row and Conjure tools for automated constraint modelling. His PhD advisees include Carla Davesa Sureda, Adamu Habu, and Erdem Kus. Publications focus on advancing constraint satisfaction and optimization techniques, with recent work addressing multi-task learning, graph-based reformulation, and algorithm selection. He actively contributes to conferences such as LION, ICGT, and CP, and his research has implications for automated planning, cloud computing optimization, and solver benchmarking.

Adrea TruckenmillerView profile

Associate Professor

• Special Education
• School Psychology
• Literacy Assessment
• +3 more

Adrea Truckenmiller is an Associate Professor in the Department of Counseling, Educational Psychology & Special Education (CEPSE) at Michigan State University (MSU). Her primary academic affiliations include the College of Education and CEPSE. She holds a Ph.D. from Syracuse University. Truckenmiller specializes in special education, school psychology, and multi-tiered systems of support (MTSS), having co-developed the MTSS MA degree program. Her research focuses on improving assessment-driven decision-making in literacy and writing instruction, particularly in K-12 settings. She has secured over $5 million in extramural grants and contracts, with 25+ peer-reviewed publications. Truckenmiller also serves on editorial boards for reading journals and school psychology publications, and contributes to the Lexia Educational Leadership Council. Her professional background includes directing research at the Florida Center for Reading Research and Regional Education Laboratory Southeast, as well as coaching district-wide positive behavior support programs at the Devereux Center for Effective Schools. Truckenmiller collaborates closely with school districts to ensure equitable access to evidence-based instruction through MTSS frameworks. Her work highlights the intersection of assessment validity, instructional design, and systemic equity in education. Education: Ph.D., Syracuse University Grants: Over $5 million in extramural funding Editorial Roles: Multiple school psychology and reading journal boards Leadership: Lexia Educational Leadership Council Truckenmiller’s research interests emphasize literacy screening assessments, writing fluency, and MTSS implementation. She critiques commercial assessment tools and advocates for cost-effective, data-informed interventions. Her recent articles analyze reading comprehension validity, writing automaticity, and pandemic-era special education identification trends. While no specific awards are listed, her extensive grant portfolio and publication record reflect her scholarly impact.

Dario BausoView profile

Professor

• Optimization
• Optimal and Distributed Control
• Game Theory
• +4 more

Dario Bauso is a Full Professor and Chair of Operations Research for Engineering Systems at the University of Groningen's Faculty of Science and Engineering. He concurrently holds a Professorship at the Dipartimento di Ingegneria, University of Palermo, Italy, since 2005. His research focuses on Optimization, Optimal and Distributed Control, and Game Theory. He has held visiting roles at institutions including Keio University (Japan), MIT, and Imperial College London. Education: Laurea (Aeronautical Engineering, University of Palermo, 2000) and PhD (Automatic Control and System Theory, University of Palermo, 2004). Past positions include Reader at the University of Sheffield (2015–2018) and Research Fellow at the University of Trento (2012–2014). Research interests emphasize applications to energy systems, financial networks, and multi-agent systems. His work has been published in top journals like Dynamic Games and Applications and Automatica . Awards include multiple Italian National Qualifications to Full and Associate Professor roles. Teaching includes courses on Game Theory, Control Systems, and Operations Research at both undergraduate and graduate levels. Current PhD student: W. Baar ('Diffusion models on networks'). Grants include leadership in projects like the ADEPT initiative (2017–2018) and the Italian-funded 'Smart PORt Terminals' (2016–2019).

• Automatic control systems
• Optimization and estimation systems
• Nonlinear and high-performance systems
• +4 more

Alexey Pavlov is a Professor in Petroleum Cybernetics at the Norwegian University of Science and Technology (NTNU), leading the BRU21 program. He holds a PhD in Mechanical Engineering from Eindhoven University of Technology (2004), an MSc in Applied Mathematics from St. Petersburg State University (1998), and has industrial experience at Equinor and Ford Motor Co. His research focuses on automatic control systems, optimization, signal processing, and human-machine interaction, with applications in petroleum engineering, mechatronics, and medical fields. Current projects include digital solutions for oil and gas, high-performance systems, and shared human-machine control via haptics. Past work includes leading R&D projects at Equinor on drilling automation, production optimization, and heavy oil systems. He has supervised 8 completed PhD projects and authored over 120 publications, including the book Uniform Output Regulation of Nonlinear Systems (2005). His awards include the IEEE Control Systems Technology Award (2015) and multiple recognitions for academic and industrial contributions. Prof. Pavlov serves on editorial and program committees for IEEE, IFAC, and other conferences, and is a Senior Member of IEEE. His leadership in the BRU21 initiative aligns with Norway’s OG21 strategy for innovation in petroleum technology.

• Process Control
• Petroleum Engineering
• Optimization Algorithms
• +3 more

Bjarne Foss is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), and Managing Director of the Kavli Institute for Systems Neuroscience. He has been a professor since 1989 and holds a PhD in Engineering Cybernetics from NTNU. His roles include Vice President for Research at NTNU (2017–2020) and Adjunct Professor at the University of South-East Norway (2021–2023). He has extensive board experience with companies like Cybernetica AS, Solution Seeker AS, and KTH Royal Institute of Technology. Foss specializes in process control, reservoir management, and optimization algorithms, with over 300 publications and an H-index of 49. He has supervised 31 PhD students and led major international projects for ESA and EU. Awards include the IBM Open Collaborative Faculty Award (2010, 2011), the Karl Diesel Best Paper Award (1995), and recognition for pedagogical innovation in 2007. His research focuses on enhancing oil production efficiency, automation in energy systems, and control strategies for complex industrial processes. His education includes a PhD from NTNU (Engineering Cybernetics) and an MSc degree awarded with the prestigious «Innstilling» honor. Professional activities include editorial roles, IEEE Senior Membership, and leadership in international committees like IFAC. Foss co-founded Solution Seeker AS (2013), Cybernetica AS (2000), and FIRST Scandinavia (2000). Recent work emphasizes distributed optimization for large-scale oil systems, dynamic control under uncertainty, and shale-gas production strategies. His publications span journals like IEEE Transactions on Automatic Control and Journal of Petroleum Science and Engineering , addressing challenges in reservoir control, model predictive control, and well-placement optimization.