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Daniel W. BlissView profile

Professor

• Radar
• Wireless Communications
• Precision Positioning
• +7 more

Daniel W. Bliss is a Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University and Director of ASU's Center for Wireless Information Systems and Computational Architectures (WISCA). With over $50 million in research funding as principal investigator from organizations including DARPA, ONR, Google, and Airbus, his work bridges theoretical foundations with practical implementations across multiple domains of wireless systems. Dr. Bliss received his educational foundation with a B.S.E.E. from Arizona State University (1989), followed by M.S. and Ph.D. degrees in Physics from the University of California-San Diego (1995, 1997). His academic journey includes significant industry experience at General Dynamics (1989-1993) and MIT Lincoln Laboratory (1997-2012) before joining ASU. His research program focuses on advanced wireless systems spanning radar, communications, precision positioning, computational architectures, and medical monitoring applications. Bliss employs information theory, estimation theory, and signal processing to develop novel system concepts with disruptive capabilities. Current research emphasizes RF convergence, integrated sensing and communications, and anticipatory medical analytics using wireless technologies, with particular focus on extracting physiological data from radar signals. Analysis of recent publications reveals a strong trend toward integrated sensing and communications systems, particularly utilizing mmWave and radar technologies for medical monitoring applications. His work increasingly bridges traditional communications and radar domains while expanding into physiological monitoring, demonstrating a clear trajectory toward convergence of wireless technologies for healthcare applications and remote vital sign detection. Dr. Bliss has received significant recognition for his contributions: Fellow of the IEEE (2015) 2021 IEEE Warren D. White Award for Excellence in Radar Engineering 2016-2017 Top 5% Teaching Award at ASU 2017 ASU Fulton Engineering Exemplar Faculty As a dedicated mentor, Dr. Bliss has supervised numerous graduate students through successful dissertation and thesis defenses across both PhD and Master's programs. His research portfolio includes substantial funding from diverse sources with over $50 million secured as principal investigator. Current projects include the $17M DARPA DASH project focused on advanced software-reconfigurable heterogeneous SoCs for next-generation RF systems, and multiple initiatives in contactless vital sign monitoring using radar technologies. Dr. Bliss leads the BLISS Lab and serves as director of WISCA, fostering interdisciplinary research in wireless systems. His team includes researchers working on distributed coherent systems, MIMO radar, RF convergence, and medical monitoring applications, with recent successes including the Making Waves team that tied for first place in the Air Force Spark Tank challenge. He has founded two startup companies: DASH Tech Integrated Circuits Company and the Big Little Sensor Company, focusing on high-performance embedded processing and small-scale radar physiological monitoring, respectively.

Lakshmi N SankarView profile

Professor

• Aerodynamics
• Fluid Mechanics
• Computational Fluid Dynamics
• +5 more

Lakshmi N Sankar serves as Regents Professor and Sikorsky Professor in the Guggenheim School of Aerospace Engineering at Georgia Institute of Technology, where he directs the Computational Fluid Dynamics Laboratory and teaches aerodynamics, helicopter theory, and wind energy courses. His research program spans unsteady viscous flow modeling for aircraft, helicopters, and wind turbines since joining the faculty in 1982 after industry experience at Lockheed Martin. Education: Ph.D., Aerospace Engineering, Georgia Institute of Technology, 1977 MSAE, Aerospace Engineering, Georgia Institute of Technology, 1975 B. Tech., Aeronautical Engineering, Indian Institute of Technology, Madras, India, 1973 Research Focus: Professor Sankar's work centers on Computational Fluid Dynamics for rotorcraft aerodynamics and wind energy systems , with significant contributions to icing phenomena and unsteady flow modeling . His recent publications reveal intensifying focus on adverse weather effects (rain/icing), eVTOL conversion challenges, and high-fidelity hybrid modeling techniques for rotorcraft performance prediction. Publication Trends: Analysis of his 2022-2025 publications shows dominant themes in rotorcraft icing (35%), weather impact studies (25%), and advanced CFD methodologies (20%), with growing interest in drone applications and mathematical aspects of fluid dynamics. His work consistently bridges theoretical mathematics with practical aerospace engineering challenges. Scientific Recognition: AIAA Fellow and AHS Technical Fellow NASA Group Achievement Award (2007) and Space Act Software Release Award (2003) Multiple Sigma Gamma Tau Teaching Awards (2005-2015) Dean George C. Griffin Faculty of the Year (2014-2015) Sikorsky Professorship (2018-Present) Mentorship and Collaboration: As recipient of Georgia Tech's Graduate Research Assistant Development Award, he has cultivated extensive student mentorship. His research integrates with the Vertical Lift Research Center of Excellence and Center for 21st Century Universities, securing major industry and NASA funding for rotorcraft innovation. Current projects include physics-based modeling of ice accretion and eVTOL retrofit feasibility studies. Research Infrastructure: The Computational Fluid Dynamics Laboratory serves as his primary research hub, complemented by collaborations through the Vertical Lift Research Center of Excellence where his team develops next-generation modeling tools for military and civilian rotorcraft applications under federal funding programs.

Jen RossView profile

Professor

• Digital Education
• Cultural Heritage Engagement
• Online Learning
• +5 more

Professor Jen Ross is a Professor of Digital Culture and Education Futures at the University of Edinburgh, affiliated with the Moray House School of Education and Sport. She serves as Co-Director of the Centre for Research in Digital Education and Associate Dean (Research Cultures) in the College of Arts, Humanities and Social Sciences. Her research focuses on digital education futures, cultural heritage engagement, and the ethical implications of emerging technologies like AI in higher education. She has supervised 17 doctoral projects, contributing to fields such as online learning, open education, and surveillance studies. Dr. Ross holds a PhD from the University of Edinburgh (2012) and is a Senior Fellow of the Higher Education Academy. Her teaching includes leading courses on Education Futures and Digital Education at the Edinburgh Futures Institute. Notable projects include co-developing the E-learning and Digital Cultures MOOC and leading initiatives like the 'Higher Education After Surveillance' network. Her research publications explore postdigital education, speculative methods in pedagogy, and the intersection of technology with cultural heritage. Recent work addresses AI integration in schools and surveillance practices in academia. Key grants include the AHRC-funded 'Responsible AI in Education' project and the ESRC Impact Accelerator grant on AI futures. She has collaborated with institutions like the National Science and Media Museum, World Bank, and Scotland’s Futures Forum. Her book Digital Futures for Learning: Speculative Methods and Pedagogies (2023) synthesizes her work on forward-thinking educational strategies.

Jeeseop KimView profile

Assistant Professor

• Robotics
• Autonomy
• Control Theory
• +3 more

Jeeseop Kim is an Assistant Professor in the Department of Aerospace and Mechanical Engineering at The University of Texas at El Paso (UTEP), College of Engineering, specializing in robotics, autonomy, and control theory. His research focuses on safety-critical planning and control, with emphasis on bipedal/quadrupedal locomotion, hybrid dynamical system control, and whole-body planning and control. Education: B.S. in Mechanical and Aerospace Engineering, Seoul National University (2014) M.S. in Intelligence and Information (Robotics), Seoul National University (2017) Ph.D. in Mechanical Engineering, Virginia Tech (2022) Postdoctoral Scholar, Mechanical and Civil Engineering, Caltech (2022–2025) His research spans safety-critical control systems for legged robots, including obstacle-aware nonlinear model predictive control (MPC), control barrier functions, and distributed coordination algorithms. Recent work explores adaptive delay estimation, tactile sensing for robotic grasping, and hardware-software co-design for humanoid robots. Key article trends highlight advancements in autonomous inspection robotics, hybrid control architectures, and real-time planning for quadrupedal systems. His work integrates control theory with practical applications in industrial and healthcare domains. Awards: ASME DSCD Rudolf Kalman Best Paper Award (2022) IEEE ICRA Outstanding Paper Award (2023) Jeeseop teaches MECH 4332: Mechanical Computational Applications in Vision and Robotics (Fall 2025). He actively recruits Ph.D. students for Spring/Fall 2026 and seeks motivated undergraduates/MS students with skills in robotics kinematics, programming (C/C++, Python, MATLAB), and CAD design. The AIGIS Lab welcomes applicants with interests in robotics, controls, and autonomous systems.

Subrahmanya Sastry ChallaView profile

Professor

• Wavelets
• Sparse Optimization Theory
• Inverse Problems
• +7 more

Professor Subrahmanya Sastry Challa is affiliated with the Department of Mathematics at Indian Institute of Technology Hyderabad. His academic journey includes a PhD from IIT Kanpur under Prof. P. C. Das, an M.Sc(Tech) from JNT University, and a B.Sc from Hindu College, Machilipatnam. Research Focus: He specializes in Wavelets and Sparse Optimization Theory Frame Theory and Data-driven Learning Methods Applications in Medical Imaging and Signal Processing His recent work explores sparsity-driven optimization techniques with applications in tomography, ECG signal recovery, and machine learning algorithms. Publications & Collaborations: He has contributed to advancements in compressive sensing, inverse problems, and numerical linear algebra through collaborations with researchers like Dr. Phanindra Jampana and Dr. Praveen Pradhan. Key journals include IEEE Transactions on Signal Processing , Inverse Problems , and Neurocomputing . Teaching: Courses taught include Wavelets & Applications, Compressive Sensing, Numerical Linear Algebra, and Mathematics Behind Machine Learning, emphasizing both theoretical and applied aspects. Administrative Roles: Served as Associate HoD/HoD (2010-2014), Chief Vigilance Officer (2015-2019), and participated in policy-drafting committees during IIT Hyderabad's formative years.

Gabriel KahnView profile

Professor

• Journalism
• Media Industries
• Technology and Innovation
• +4 more

Gabriel Kahn is a Professor of Professional Practice of Journalism at the University of Southern California’s Annenberg School for Communication and Journalism. He co-directs the M{2e} program (Media, Economics and Entrepreneurship) and serves as Innovations Manager for the Annenberg Innovation Lab. His work focuses on the disruption and evolution of the news industry, emphasizing data-driven journalism and innovation in media economics. Kahn has extensive experience as a journalist, having held roles at The Wall Street Journal , Roll Call , and The Forward , with global reporting across three continents. Academic Affiliations: Journalism (BA, MS, MA Specialized Journalism) Co-Director, M{2e} Program Member, Annenberg Innovation Lab Research Council Research Interests: Economic models of news industries Data-driven journalism platforms (e.g., Crosstown) Media entrepreneurship and innovation Technology’s role in local and global news Teaching: Courses include Money, Markets and Media (JOUR 469) and Directed Research (JOUR 490x/590) Developed economics/business reporting track in USC’s specialized journalism program Professional Ventures: Founded Italy Daily (1998), a joint venture between International Herald Tribune and Corriere della Sera Launched Crosstown (2018), a data-driven hyper-local news initiative Advisory board member for Worldcrunch , a global news startup Grants & Consulting: Advises news startups and established companies on strategic innovation in media ecosystems. Labs/Teams: Active in the Annenberg Innovation Lab, exploring intersections of technology and communication.

Ana DyresonView profile

Assistant Professor

• Renewable Energy Systems
• Climate Change Mitigation in Energy Systems
• Electric Power Systems
• +5 more

Ana Dyreson is an Assistant Professor in Mechanical and Aerospace Engineering at Michigan Technological University and Associate Research Director at the Center for Innovation in Sustainability & Resilience (CISR). She leads the Great Lakes Energy Group, focusing on climate change impacts on electric power systems , energy transitions in cold climates , and thermal power plant modeling . Her work bridges solar photovoltaic design , electricity grid operational modeling , and the energy-water nexus . Education : PhD in Mechanical Engineering, University of Wisconsin–Madison (2018) MS in Mechanical Engineering, Northern Arizona University (2014) BS in Engineering Mechanics, University of Wisconsin–Madison (2011) Research emphasizes climate-resilient energy systems , particularly solar energy in cold climates and grid-scale modeling . Her 2025-2022 publications investigate snow mitigation on PV panels , heat pump adoption , floating solar-hydropower hybrids , and climate stressor impacts on thermoelectric plants . She develops inclusive teaching methods and advises on renewable energy deployment through initiatives like the Tech Forward Initiative on Sustainability and Resilience . Her team collaborates on multisector dynamics and energy-water-climate research in the Great Lakes region.

Pedro Rino VieiraView profile

Assistant Professor

• Financial Investments
• Corporate Finance
• ESG
• +7 more

Pedro Rino Vieira is an Assistant Professor of Finance in the Department of Management at ISEG – Higher Institute of Economics and Management, University of Lisbon, where he has been teaching since 2006. He holds a PhD in Management/Finance from the University of Lisbon (2016), a Master’s in Management (2005), and a Bachelor’s in Management (1999), all from ISEG. He is also a researcher affiliated with CSG – Research in Social Sciences and Sociology. His research spans key areas in finance and management, including ESG performance, corporate finance, capital structure, payout policy, risk management, and behavioral aspects of financial decision-making. He has led and contributed to numerous international teaching and consulting projects in Angola, Mozambique, Turkey, and Iran, and coordinated the joint Master’s in Law and Management between ISEG and the Faculty of Law of the University of Lisbon. Since 2023, he has collaborated with ACTEX to develop corporate finance content for actuarial science candidates. His recent publications, appearing in journals such as Journal of Business Research , Technological Forecasting and Social Change , and Economies , reflect a strong trend toward sustainability in finance, empirical analysis of corporate behavior, and innovation in financial risk management. Topics include ESG and diversification, dividend policy in high-tech firms, shareholder activism, and the application of log-periodic models to market crashes. PhD in Management/Finance, ISEG, University of Lisbon (2016) Master in Management, ISEG (2005) Bachelor’s Degree in Management, ISEG (1999) Pedro has supervised over 80 Master’s students, primarily on topics related to investment policy, equity research, and corporate finance. He has not received any explicitly mentioned scientific awards. He is involved in research labs such as the Futures Lab and Data Lab at ISEG and contributes to executive education and professional training programs.

Katie Paxton-FearView profile

Lecturer

• Cyber Security
• Data Science
• Artificial Intelligence (AI)/Machine Learning (ML)
• +4 more

Dr. Katie Paxton-Fear is a Lecturer in Cyber Security at Manchester Metropolitan University, specializing in the intersection of data science, AI, and security. Her research focuses on applying data science and AI to cybersecurity challenges while addressing security concerns within AI/ML systems. She is an active web security researcher and educator, contributing free resources via YouTube. Her work includes vulnerability discovery in organizations like Verizon and the Department of Defense, and she explores ancient language decipherment as a side interest. Paxton-Fear holds a PhD in Defence and Security from Cranfield University and a BSc in Computer Science from Salford University. She teaches undergraduate and postgraduate courses on Security Fundamentals, Penetration Testing, and IoT Security. Her research interests span interdisciplinary topics such as secure development practices, API/web security for cyber-physical systems, and leveraging NLP for insider threat analysis. She advocates for collaboration between developers and security professionals, emphasizing proactive security measures. Paxton-Fear is also a media commentator featured in outlets like BBC, ZDNet, and Wall Street Journal, discussing bug bounty programs and diversity in cybersecurity. Her recent publications highlight forward-looking cybersecurity frameworks, prototyping for secure systems, and computational methods for ancient language analysis. She emphasizes data-driven approaches in security research and promotes accessibility to advanced tools like NLP for defense applications. Beyond academia, she actively engages in bug bounty hunting and maintains a YouTube channel dedicated to demystifying cybersecurity concepts for beginners.

• Experimental Particle Physics
• Supersymmetry
• Dark Matter
• +7 more

Monica D'Onofrio is a Professor at the University of Liverpool, serving as Head of Research and Deputy Head of the Department of Physics. She is a leading experimental particle physicist with expertise in Standard Model processes and new physics searches at hadron colliders, including Supersymmetry (SUSY), Weakly Interacting Massive Particles (WIMPs), leptoquarks, and long-lived particles. Her work spans collaborations with CDF (2000–2011), ATLAS (2001–Present), and FASER (2020–Present). Key roles: STFC Advanced Fellow (until 2014), member of PDG Collaboration (since 2016), author of SUSY experimental review. Leadership: Convener of ATLAS Supersymmetry working groups (2012–2017), team leader of Liverpool ATLAS/FASER groups. Her research drives modern data-analysis tools, particularly AI/ML, applied to particle physics and interdisciplinary fields like medical physics and neuroscience via the MUCCA consortium. She coordinates departmental research in particle physics, nuclear physics, accelerator science, and condensed matter physics, fostering cross-area initiatives in quantum technologies, sustainable tech, and AI/data science. Recent projects include the ATLAS ITk tracking software development, upgrades for the High Luminosity LHC (HL-LHC), and contributions to future facilities like LHeC, Forward Physics Facility (FPF), and Future Circular Collider (FCC). Her scientific awards include the Halliday Prize (2009) for STFC Advanced Fellowship excellence. Grants: UKRI Experimental Particle Physics Consolidated Grants (2022–2026, 2019–2025), STFC projects (2009–2014). Teaching: Module coordinator for Neutrinos and Dark Matter (PHYS492) and Particle Physics (PHYS377), supervising quantum mechanics and thesis projects.

Vahid Heydari Fami TafreshiView profile

Senior Lecturer

• Cybersecurity
• Internet of Things Security
• Network Forensics
• +2 more

Dr. Vahid Heydari Fami Tafreshi is a Senior Lecturer and Cybersecurity Course Director at Staffordshire University's London Digital Institute. With a PhD in Network Security from the University of Surrey, he leads BSc and MSc Cybersecurity programs while teaching across networking and security modules. His research focuses on Internet Protocols & Architectures, Network Forensics, and IoT Security, evidenced by publications in IEEE, Elsevier, and ZTE Communications. Research interests center on securing next-generation networks through innovations in: Secure packet forwarding architectures IoT authentication frameworks MANET security protocols Software-defined networking security Publications demonstrate consistent focus on practical network security solutions, with recent work exploring AI applications in vulnerability testing and ontology-based supply chain security. Earlier research established foundations in VoIP security, satellite network cryptography, and Byzantine fault tolerance for routing systems. Professional activities include supervision of PhD candidates and examining theses, with industry collaborations spanning Airbus Group, Royal Air Force, and NHS organizations. As Fellow of the Higher Education Academy, he develops cybersecurity curricula for both traditional and apprenticeship programs.

Raziyeh REZA-GHAREHBAGHView profile

Assistant Professor

• Supply Chain Management
• Operations Research
• Sustainable Business Models
• +3 more

Raziyeh REZA-GHAREHBAGH is an Assistant Professor of Supply Chain Management at EM Normandie, France, since 2023. She holds a PhD in Industrial Engineering from the Islamic Azad University (IAU), Tehran, Iran (2020), and completed a PostDoc at Rennes School of Business. Previously, she was an Assistant Professor of Operations Management at the University of Sussex (2022–2023) and a Scientific Researcher at the Center for Innovation and Development of AI (CIDAI) in Iran (2020–2021). She is a Fellow of the Higher Education Academy (FHEA) in the UK. Her research focuses on analytical operations and supply chain management, sustainable business models, and the integration of operations research with digital platforms. Key themes include environmental sustainability in supply chains, green entrepreneurship, and the application of game theory to financial policy analysis. She teaches Supply Chain Management and Operations Management at EM Normandie. Her publications span topics like retailer-manufacturer partnerships in e-commerce, CSR policy impacts on sustainability, and financing strategies for green technology. Recent work emphasizes digital platforms' role in sustainable finance and policy-driven market dynamics. Awards: Fellowship of the Higher Education Academy (FHEA), UK. Grants/Advising: No explicit grants listed; no advisee names provided in the text. Labs/Teams: Affiliated with EM Normandie’s Supply Chain & Management Digital department; no specific lab/team details mentioned.

Milka BroukhimView profile

Adjunct Associate Professor

• Interaction Design
• Typography
• Visual Design Strategy
• +5 more

Milka Broukhim serves as an Adjunct Associate Professor of Interaction Design at Art Center College of Design, where she teaches courses including GVXD-251-02: Interaction Design 2. With over 1,500 students mentored throughout her career, she has significantly influenced the design community, most notably as the first college design professor to Evan Spiegel, founder of Snapchat. Her research interests center on the intersection of technology and visual communication, with particular focus on interaction design, typography, and augmented reality. Broukhim explores how design principles can transform complex ideas into intuitive user experiences, emphasizing the emotional impact of visual language in digital interfaces. She investigates the evolving relationship between traditional design fundamentals and emerging technologies, particularly how motion graphics and spatial design can enhance user engagement. Her recent creative works demonstrate a consistent trajectory toward integrating physical and digital experiences, with increasing emphasis on augmented reality applications and holistic design systems. The projects span from corporate identity systems to specialized UI solutions, showing her ability to translate strategic business goals into compelling visual narratives across multiple platforms and contexts. Co-inventor & Patent: Display screen or a portion thereof with graphical user interface Broukhim maintains an active mentorship practice, working with CEOs of major tech industries and providing corporate training through programs like the 8-week typography course offered to Meaningful Works design agency. Her teaching methodology emphasizes experimental approaches, encouraging students to explore 'risk-forward design methodologies' that lead to innovative solutions. She has developed specialized programs for talent development at companies including Snapchat, where she designed recruitment campaigns that contributed to the company's rapid growth from 300 to over 3,000 employees. Her professional practice includes leading design initiatives for Snap Inc.'s internal branding systems, creating the environmental graphics for the MISSION Mural project, and developing the visual identity for Spectacles smart glasses during its R&D phase. She has collaborated with industry pioneers including Bob Abel, Debora Sussman, and Saul Bass.

Souvik DasView profile

Assistant Professor

• High-energy particle physics
• Quantum computing
• Neuromorphic artificial intelligence
• +1 more

Souvik Das is an Assistant Professor in the Department of Aerospace, Physics and Space Sciences at Florida Institute of Technology (Florida Tech). A high-energy physicist, he has been a member of the CMS Collaboration at CERN’s Large Hadron Collider since 2006, contributing to detector instrumentation and analyses that culminated in the 2012 discovery of the Higgs boson. Education & Experience: PhD Advisor: Anders Ryd (mentioned in INSPIRE profile) Postdoc: University of Florida (2011–2017) Staff Scientist: Purdue University (2017–2023) Current: Assistant Professor, Florida Tech (2023–present) Research Interests: Dr. Das focuses on experimental high-energy particle physics, particularly on the properties of the Higgs boson, electroweak symmetry breaking, and searches for new physics beyond the Standard Model. He has pioneered instrumentation efforts for the next-generation CMS detector upgrade and maintains active interests in quantum computing architectures and neuromorphic artificial intelligence as applied to particle-physics data analysis. Research Highlights: His work spans precision measurements of the Higgs boson width, searches for exotic Higgs decays into light pseudoscalars, studies of heavy-flavor and multi-strange hadrons in heavy-ion collisions, and development of machine-learning techniques for background estimation. His publications reflect contributions to both the CMS and STAR collaborations, covering topics from dielectron production to hypertriton formation. Scientific Awards: No specific awards were mentioned in the provided text blocks. Teaching & Mentoring: While no explicit list of students was provided, Dr. Das expresses a strong passion for teaching physics at both undergraduate and graduate levels. Laboratories & Teams: He leads instrumentation R&D within the CMS Collaboration and is involved in the Florida Tech High-Energy Physics group located in F.W. Olin Physical Sciences 342.

Nagi N. MekhielView profile

Professor

• Computer Architecture
• Parallel Processing
• High Performance Memory Systems
• +5 more

Nagi N. Mekhiel is a Professor in the Department of Electrical and Computer Engineering at Toronto Metropolitan University (formerly Ryerson University), where he teaches courses including Digital Systems, Microprocessors, Advanced Computer Architecture, and Parallel Computing. His office is located in the George Vari Engineering and Computing Centre at 245 Church St., Toronto. Dr. Mekhiel received his B.Sc. in Electrical Engineering from Assiut University, Egypt (1973), M.A.Sc. from University of Toronto (1981), and Ph.D. in Computer Engineering from McMaster University (1995). Prior to academia, he worked as a Biomedical Engineer at Toronto's Hospital for Sick Children (1981-1987), Senior Hardware Engineer at Definicon Systems Corporation (1987-1990), and Senior Member of Technical Staff at Yarc System Corporation (1996-1998). His research focuses on solving fundamental computer industry challenges, particularly the processor/memory speed gap and scalability of parallel processors. His work spans computer architecture, parallel processing, high-performance memory systems, VLSI, and performance evaluation. Mekhiel's research has been cited in patents by major tech companies including IBM, Google, Apple, Intel, Microsoft, and others. Analysis of his recent publications reveals a strong trajectory toward quantum computing applications, orbital data processing architectures, and memory system innovations for big data applications. His work consistently addresses the processor/memory speed gap through novel architectural solutions, with increasing emphasis on quantum information representation and parallel time computing models. Intel Xeon+FPGA system access via Intel's Hardware Accelerator Research Program Senior Member of IEEE Dr. Mekhiel has supervised numerous graduate students who have co-authored publications with him in areas including facial recognition systems, quantum computing implementations, and parallel processing architectures. His research has received industry support through patent licensing agreements with Intellectual Ventures US. He leads a research group focused on advanced computer architecture solutions, with current projects involving quantum bit encoding, reconfigurable memory systems, and orbital network architectures for scalable multi-core processing.