bios of phm society fellows

Eric Bechhoefer

The publications of Eric Bechhoefer has made a significant impact to the PHM community. In particular, his creative work in fault diagnosis and prognostics using statistical vibration analysis, health threshold setting, and acoustic emission signal analysis has been heavily cited worldwide. As a prolific author of over 111 research papers and 30 patents, he has achieved a total citation of 2156 and an impressive h‐index of 28. 8 of his papers have received the best paper awards in many PHM related conferences including PHM Society annual conferences, IEEE PHM Conferences, MFPT, and AHS Forum. Even in academia, this record of research publication citation is considered very impressive and outstanding.
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Derek DeVries

Derek R. DeVries, P.E. is a NGPS Senior Fellow and Discipline Owner for Propulsion System’s Avionics, PHM, and Control Disciplines. His vision, knowledge and leadership has led to the development, demonstration and implementation of disruptive technologies for Launch Vehicle Applications. For the Mechanistic PHM of solid rocket motors, he has been the technical brain trust for sensors, instrumentation, electronics, motor design, test plan development, and data reduction/analysis and has the critical ability to mentor the scientists and technicians on integration concerns. In the role, he demonstrated his insight into the fundamental science and has a pivotal ability in successful research and technology transition. He brings a comprehensive understanding of the full propulsion system coupled with a detailed understanding of the measurement physics and data communication systems. This rare combination of broad, in-depth understanding makes him a true subject matter expert in the development and application of rocket propulsion prognostics and health management techniques. The impact of his leadership and technical guidance has been felt across the nation with major significance ranging from our Nation’s nuclear deterrence to NASA’s space launch capability to basic munitions readiness in our Armed Forces.
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Karl Reichard

Dr. Karl Reichard is one of the foundational pillars in the field of PHM. His particular forte revolves around Condition-Based Monitoring. He is one of the principal promoters of the OSA-MIMOSA CBM architecture. Dr. Reichard has a real passion for systems health management and he has considerably advanced our understanding of the field. His unrivaled ability to convey the knowledge to others has been demonstrated in numerous workshops and technical presentations. He co-edited the seminal book “System Health Management with Aerospace Applications” which is the de facto standard reference on Systems Health Management. Dr. Reichard has successfully tackled a number of difficult challenges in the PHM domain that have led to ground breaking innovations such as a wireless energy harvesting sensor.
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Rhonda Walthall

Rhonda Walthall has had a significant influence on PHM solutions at Collins Aerospace and in the larger PHM community. She is the visionary leader behind the Aircraft System Health Management (ASHM) offering, which was one of the first commercial PHM solutions for aircraft systems in aviation. Through her leadership and technical guidance, ASHM grew from her conceptual paper drawings to a production tool, used by 75+ airlines to monitor diagnostic and prognostic alerts for more than 2000 aircraft. She is the Vice President and member of the board of directors of the PHM Society and she served as the Annual Conference Chair in 2015. She is a long time member of SAE International, where she served as the Chair of the IVHM Steering Group, the HM-1 Committee, the E-32 Committee, the G-31 Committee, and the Fellows Selection Committee. She is a member of the SAE board of directors. Rhonda has been actively engaged in the development of PHM standards and the dissemination of information through conferences and publications.
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Bin Zhang

Dr. Bin Zhang is an internationally recognized expert in the theory, design, and implementation of PHM. His works in signal processing, diagnostic and prognostic algorithm design, contingency management, and their applications to different systems had been widely accepted and cited by researchers worldwide. At the University of South Carolina, his research focuses on real-time implementation of advanced diagnostic and prognostic algorithms. His works of Lebesgue sampling-based algorithm design set up a cornerstone for the design of diagnosis and prognosis algorithms in distributed systems. By reducing computation more than 1200 times (comparing with traditional Riemann sampling based approach), Lebesgue sampling based approaches can be deployed on distributed low-cost hardware, such as microcontrollers and embedded systems. Moreover, Lebesgue sampling-based design concept can accommodate different algorithms, such as machine learning, Bayesian estimation and prediction (e.g., particle filtering and extended Kalman filter), data-driven, etc. Dr. Zhang also implemented and advanced the diagnosis and prognosis in many applications, including li-ion battery, life support systems, power cable, structural health monitoring, multi-agent systems, shipboard rotating machinery, etc. His commitment to the PHM Society and it annual conferences helped not only the dissemination and strengthen of the PHM, but also the formation of new generation of PHM experts.
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Neil Eklund

Dr. Neil Eklund is one of the most innovative, forward-thinking researchers in PHM, with 20 years of deep technical experience across myriad industry segments. His thorough understanding of mathematics, statistics, machine learning, and artificial intelligence, combined with a knack for transitioning theory into practice have enabled him to have profound business impact. For example, his work at Schlumberger led to the creation of a new PHM-focused business segment, Technology Lifecycle Management. His unique ability to synthesize disparate ideas has led to numerous novel and unexpected advances in data-driven anomaly detection, diagnostics, and performance optimization. As one of its founders, Neil has been intimately involved with the PHM Society from the beginning. He was the first Editor-in-Chief of ijPHM and continues to be active there, most recently editing a special issue on PHM Applications of Deep Learning & Emerging Analytics. He has served on its Board of Directors and annual conference management team continuously since 2008. He has given multiple tutorials at the conference, and organized workshops on Battery Management Systems, Wind Energy, Deep Learning, and Industrial Analytics. He enjoys teaching, and has taught graduate-level courses in computational intelligence and machine learning. He also developed and still regularly teaches a two-day short course on Analytics for PHM.
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Andy Hess

Bringing program management, technical, engineering, logistics, and asset management expertise as well as innovation and application vision, Andy is globally recognized as a leader and expert in the fields of diagnostics, prognostics, and predictive maintenance. For over 35 years, at the Naval Air System Command, Andy led the innovation, development, and implementation of condition monitoring systems for all the Navy fixed wing and helicopter applications. He is widely recognized as a leader in the areas of engine and aviation subsystems monitoring systems, including aircraft structures. He has been long recognized as the father of engine health monitoring for Naval Aviation, initiated the first comprehensive Helicopter Usage Monitoring Systems (HUMS) for DOD, and was a principal responsible for starting, developing, and managing the PHM system for the Joint Strike Fighter (JSF) program. Andy also helped formulate and manage the JSF autonomic logistic concept. Andy is now a widely used consultant to industry, government, and academic organizations in the fields of advanced diagnostics, prognostics, health and asset management, PHM, CBM+, factory and Smart Manufacturing, and enterprise wide applications. Andy is the current president of the PHM Society (for the last 8 years) and remains active in many other professional, advisory, and standards organizations and committees. Andy provides support to U. of Cincinnati IMS Center in Smart Manufacturing and Industry AI. He was an original Lifetime Achievement Award recipient from the PHM Society, and has been selected as a NAVAIR Senior Engineering Fellow and a CIEMS Assessment Fellow. Andy’s wide range of PHM application interests has most recently led him to acting as a SME on several USAF Smart Manufacturing, DOE wind energy, Industrial AI, Cyber-Physical Systems, and NASA Mars Habitat projects.
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Ian Jennions

Professor Ian K. Jennions is a world-renowned expert in the field of IVHM, a subject synonymous with PHM. Ian has, since its inception in 2008, developed the IVHM Centre at Cranfield University in research, education, and in contacts with industry and aligned bodies such as SAE International and the PHM Society. His main contribution during this time was to define the field and conduct research in the very different individual areas, while building state of the art rigs for fundamental data, component rigs for major sub-system testing, and experimentation on a B737-400. He has conducted over 60 projects during this time, with 25 industrial partners, producing over 125 technical papers. The Centre currently has 7 staff and 15 PhD students. Further, he has edited five SAE books on IVHM and co-written another two. He is currently Chair of SAE’s IVHM Steering Group, and has contributed to many of the documents produced by HM-1. Ian has been a Director of the PHM Society since 2010 and started the PHM Society’s conferences in Europe. Prior to 2008 Ian led a global group at Rolls Royce in Engine Health Management. He therefore combines an industrial and academic view of the field in his approach to PHM.
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Peter Sandborn

Dr. Sandborn is one of the best-known researchers in the world today in the field of life-cycle cost modeling for systems that include prognostics and health management. Dr. Sandborn’s contributions have been instrumental in building business cases that support the inclusion of PHM within systems, optimize maintenance for systems that include PHM and the optimization of outcome-based contract requirements and metrics when PHM is included in the system. Dr. Sandborn has advised over 40 graduate students and published over 250 publications. Peter has been very active in the PHM Society since its inception; including being a member of the society’s executive Board of Directors as its secretary and taking on many special tasks and assignments. Peter’s profession body of work, his dedication to the advancement of PHM related technologies, and his contribution to the PHM Society clearly warrant his selection as a PHM Society Fellow.
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Byeng Dong Youn

Dr. Byeng D. Youn is well recognized for his outstanding contributions to the growth of PHM research. Over the past 18 years, he has published over 100 journal papers, over 400 conference proceeding papers, and given more than 150 invited talks. He has achieved a total number of Google citations of 5,890 with H-index of 33, a total number of Scopus citations of 4,289 with H-index of 31, and a total number of ISI citations of 2,718 with H-index of 25. Dr. Youn has graduated 14 Ph.D. students and 14 master students. He is currently supervising a PHM related research group in Seoul National University with 3 post-doctoral research fellows, 25 Ph.D. students, and 13 master students. Dr. Youn has also developed a graduate course and gave many workshops and seminars. He has showed a great leadership as a major organizer of the Asia Pacific Conference of the PHM Society 2017, which was the first of its biannual events.
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Jeff Bird

His technical achievements are well founded in the engine, aircraft performance and asset management domains. His innovations in modeling, unsteady analysis and aircraft/engine installed performance are key enablers for PHM capabilities. Building on that are significant and sustained results in developing PHM capabilities through multidisciplinary teams at NRC. He was one of the founding leaders of the new NRC Gas Turbine Laboratory, developing funding from military maintainers and Defence Department R&D organizations to cover the early and advanced development of projects providing continuity and results for both researchers and customers. His publications are especially diverse in technical topics as well as PHM Society papers on standards, taxonomy, and continuing professional development. He is an Associate Fellow of the national Canadian Aeronautics and Space Institute and sits as a Councillor on its board. He has provided extraordinary duty to the PHM Society in a number of leadership and technical roles.
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Joo-Ho Choi

The PHM Society recognizes Prof. PhD. Joo-Ho Choi as one of the leading professors in the fields of PHM in Korea. Over the last decades, he has made several publications for the PHM research, which include the reviews and tutorials of prognostics algorithms and applications to the critical components such as the gears, bearings and batteries. He has also published a book with the aim of helping PHM beginners practice and select proper methods for their applications. He has over 100 journal and conference publications, including more than 30 international journal papers in the PHM and reliability. He has delivered over 40 invited speeches including the plenary at PHM Europe 2018. He is the Guest editor of the RESS Special Issue “PHM Impact in Reliability” since 2017. His leadership in the Society has also been instrumental: He has served as a General Chair of the first Asia Pacific Conference of the PHM Society held in Jeju island, Korea on July 2017, which has been a monumental success in terms of quality and participations, and laid the foundation for the subsequent PHMAP’s. Encouraged by this, he has established the Korean society for PHM in 2018 and is now serving for the president with the mission to promote PHM in various industries in Korea.
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N. Scott Clements

Scott studied under Dr. George Vachtsevanos in the Intelligent Control Systems Lab at Georgia Tech, earning his PhD in 2003. His thesis developed a framework for fault-tolerant control systems, which was successfully demonstrated on an autonomous, unmanned aerial vehicle. He then started work at Lockheed Martin where he lead the initial prognostics development on the F35 Joint Strike Fighter. He has also lead several IRAD and CRAD efforts on prognostics and is now working on the Analytics,PHM and AI Innovations (APA Innovations) team in LM Rotary & Mission Systems.
Scott has been active in the PHM Society since its inception, including paper presentations, tutorial presentations and serving on multiple planning committees as the conference materials chair (responsible for brochures, website updates, and signage). He is also on the Board of Directors, serving as the Communications Director for six years running. In this capacity, he has been instrumental in guiding the societies long-term web and communication strategies.
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Wolfgang Fink

The PHM Society recognizes Prof. Dr. Wolfgang Fink as one of the preeminent researchers in the fields of PHM for Autonomous Systems and Human Health & Performance. As such, he serves as the Sector Lead on “Human Health & Performance” to help the Society expand into this evolving field. Dr. Fink’s service to the Society has been exemplary: He was a Luminary Speaker for PHM 2013, serves on the Editorial Board of IJPHM since 2014, is the Guest Editor of the IJPHM Special Issue “PHM for Human Health & Performance” since 2017, and is a Panel Session Chair since 2016. Dr. Fink holds numerous leadership roles in professional societies, such as IEEE, SPIE, and PHM Society. He is appointed General Conference Chair of PHM 2019 in Scottsdale, AZ. Overall, Dr. Fink’s R&D and innovation achievements have been extraordinary: He has over 240 publications (journal, book, and conference contributions), 6 NASA Patent Awards, as well as 19 US and international issued patents (a dozen more pending) in the areas of autonomous systems and biomedicine. Dr. Fink is the co-founder of two start-up companies in vision care. Moreover, he is an AIMBE Fellow, Senior Member IEEE, and the 2015 da Vinci Fellow and 2017 ACABI Fellow of the University of Arizona.
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Kai F. Goebel

Dr. Goebel has had a profound influence on the development of the engineering discipline of PHM within the aerospace community. He was one of the founding board members of the PHM Society, remains a member of the Society’s Board of Directors, and was the very first General Chairman for the hugely successful First Annual Conference of the PHM Society in 2009. Kai is the Tech Area Lead for Discovery and Systems Health in NASA’s Intelligent Systems Division. He currently leads a team of 70 civil servants and contractors doing PHM research. He founded and is still leading NASA’s Prognostics Center of Excellence. He directs work on prognostics in general and right now looks specifically at prediction of safety margin violations in autonomous on-demand mobility applications for the Aeronautics Mission Directorate. Kai has won numerous awards in the field, including the NASA invention of the year award in 2016. Kai is a prolific and impactful author, with over 9000 citations and a stellar i-10 index of 187. Kai has not only done fundamental scientific research in prognostics, but also developed techniques that help bridge the gaps between theory and practice, and worked to develop industry standards for PHM.
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Steven W. Holland

The PHM Society recognizes Steve Holland as the leading proponent of Prognostics & Health Management in the global automotive industry. He has served on the PHM Board of Directors since 2014 and is the Sector Lead for Automotive PHM where he has worked to expand interest in this important domain. Steve was a Keynote Speaker for PHM 2017. He chaired multiple automotive panels in both the US and European PHM Conferences and participated in many others. Steve Holland is a Research Fellow at GM Global R&D with over 45 years of experience where he has held a variety of technical and executive roles. He is currently Chief Technologist for Vehicle Health Management. In 2002, he led a team of researchers that designed and implemented a successful, large-scale PHM manufacturing application which was deployed globally. He is the author of numerous publications and over 50 patents. In 2008, he presented an early vision for automotive PHM at the IEEE ESTC conference in England. In 2015, he helped launch OnStar Proactive Alerts which now provides starting system prognostics for millions of GM vehicle customers. Steve is a member of the SAE and has been active in its IVHM Standards Committee and Steering Committee since 2012 and chaired the JA6268 recommended practice on Health-Ready Components published in April. He is helping to launch the new SAE HRCS consortium in this area. Steve is an IEEE Fellow and served as an IEEE distinguished lecturer.
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Benoit Iung

The PHM Society recognizes Professor Benoit iung as a leader in the research fields of prognostics, dynamic decision-making in maintenance, maintenance program optimization and the e-maintenance modelling framework used in System Engineering. He is Co-head of the CRAN research group entitled “ISET” for Sustainable System Engineering” (60 people), Corresponding member of the UL in the French “Factory of the Future” initiative, and Head of a common Laboratory called PHM-FACTORY with PREDICT company (SME) in the frame of the French ANR LabCOM program.

• French fellow to CIRP, Founding Fellow of the ISEAM
• Founding membership of European IAM Academic and Research Network
• Chair of the IFAC TC 5.1
• Chairman of the ESRA TC on Manufacturing
• Editor – IFAC Journal of Systems and Control

Professor iung has also contributed significantly to the promotion of the PHM Society by Co-organising of PHME in Nantes, serving as Co-technical program leader for PHME in Bilbao and serving on the TPC for PHME in Utrecht.
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Jay Lee

Jay Lee is an innovator, scholar, and an entrepreneur in the field of Prognostics and Health Management . He is the founding director of NSF I/UCRC on Intelligent Maintenance Systems (IMS) as well as the newly established Industrial AI Center. He created the IMS vision and developed well-known Watchdog Agent Toolkit® which is the catalyst of many industrial internet systems. Since its inception in 2001, the IMS has worked with over 100 global companies and was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012 with 270:1 impact ratio through the development and deployment of PHM technologies. He was selected as 30 Visionaries in Smart Manufacturing Industry by SME in Jan. 2016.
He is a fellow of ASME, SME, as well as the Founding Fellow of ISEAM. He has received a number of PHM related awards including Prognostics Innovation Award at NI Week in 2012, NSF Alex Schwarzkopf Technological Innovation Prize, and MFPT Jack Frarey Award in 2014, as well as PICMET Medal of Excellence in 2016. Prof. Lee has mentored students won 1st prize five time in PHM Data Challenges competition since 2008. He also mentored his students developed a number of spin-off companies in PHM areas including Predictronics in 2013, CyberInsight in 2016, and Industrial AI in 2018. He has delivered over 250 keynote speeches in major international conferences.
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Sankaran Mahadevan

The PHM Society recognizes Prof. Sankaran Mahadevan as an internationally prominent leader in Uncertainty Quantification and Management in PHM. 30 years of research and education in PHM-related topics

• Probabilistic methods for system reliability and resilience
• Uncertainty quantification in health diagnosis and prognosis
• Material degradation modeling
• Information fusion and machine learning
• Resource optimization, and Decision making under uncertainty

Applications in aircraft and rotorcraft structures, railroad wheels, automotive components, manufacturing processes, and network systems. Dr. Mahadevan has 600 publications (including 2 books, 280 journal papers) and ~15,000 citations to his credit. He has supervised 42 Ph.D. dissertations, 24 M.S. theses and 22 post-doctoral fellows, and taught 300 other graduate students and several industry short courses.
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Marcus Orchard

The PHM Society recognizes Prof. Dr. Marcos Orchard as one of the preeminent researchers in Theory, Design, and Implementation of Failure Prognostics Algorithms. Dr. Orchard’s Doctoral Thesis (Georgia Institute of Technology, 2007) has been recognized as a cornerstone for the development of real-time failure prognostic methods based on sequential Monte Carlo methods, providing a sound theoretical framework to the problem of real-time future uncertainty characterization in dynamic non-linear, non-Gaussian systems. The numerous and prolific research initiatives that he has led have contributed to lay theoretical foundations and practical guidelines for the application of PHM concepts on a wide range of engineering domains, including battery supervisory systems, mining industry, chemical processes, structural health management, finance, astrometry, and crime risk prediction. Dr. Orchard’s commitment to the PHM Society (PHM Fundamentals Short Course and Tutorial Instructor, Doctoral Symposium, Technical Program Committee Chair) and IJPHM (Associate Review Director since 2013) has helped tremendously to strengthen the PHM discipline, to the formation of a new generation of PHM experts, and worldwide dissemination (with more than 100 publications including books, journal, and conference articles).
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Stephen Engel

Steve was one of the original PHM pioneers beginning in early 1990s with an ARPA contract entitled “Just-In-Time Maintenance” that used neural networks to diagnose and predict failures in rotating machinery. He helped shape the PHM philosophy during the JSF concept development phase in the late 1990s, emphasizing model-based reasoning for diagnostics and the non-deterministic aspects of failure prediction. His seminal paper, “Prognostics, The Real Issues Involved With Predicting Life Remaining” (IEEE 2000), was a motivating factor for the DARPA Prognosis Program in 2003. Steve was the technical lead for the DARPA-Navy-Northrop Grumman Structural Integrity Prognosis System (SIPS) Program and its follow-on contracts from 2003 to 2012. As a technical fellow specializing in AI reasoning methods, machine learning and prognosis for the Northrop Grumman Corporation, Steve served as a principal investigator for several formational programs including the US Navy’s prognosis flight demonstrations, DARPA’s Survivability of Interdependent Systems, and the US Air Force’s foundational contracts for the Digital Thread and Digital Twin. He has over a dozen patents in neural networks and PHM-related technologies, authored more than thirty PHM papers and presentations and was honored to be the PHM society’s first luminary speaker.
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David He

David He received his B.S. degree in Metallurgical Engineering from Shanghai University of Technology, China, MBA degree from the University of Northern Iowa, and Ph.D. degree in Industrial Engineering from the University of Iowa. Dr. He is a Professor and Director of the Intelligent Systems Modeling & Development Laboratory in the Department of Mechanical and Industrial Engineering at The University of Illinois-Chicago. Dr. He’s research areas include: machinery health monitoring, diagnosis and prognosis, complex systems failure analysis, quality and reliability engineering, and manufacturing systems design, modeling, scheduling and planning.
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Abhinav Saxena

Dr. Abhinav Saxena is a Senior Scientist – Machine Learning in the AI & Learning Systems Organization at GE Global Research. Abhinav is currently involved with developing PHM solutions for various industrial systems at GE and driving integration of PHM analytics in GE’s industrial internet platform. Abhinav is also an adjunct professor in the Division of Operation and Maintenance Engineering at Luleå University of Technology, Sweden. Prior to GE, Abhinav was a Research Scientist with SGT Inc. at NASA Ames Research Center for over seven years. Abhinav’s interests lie in developing PHM methods and algorithms with special emphasis on data-driven methods for practical prognostics. He has done extensive work on PHM performance evaluation, PHM requirements, and verification and validation of prognostics. He actively participates in several SAE standards committees, IEEE prognostics standards committee, and various PHM Society educational activities, and is a Fellow of the PHM Society. He is also the chief editor of International Journal of Prognostics and Health Management since 2011 and actively participates in organization of PHM Society conferences.
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George Vachtsevanos

Dr. George Vachtsevanos is currently serving as Professor Emeritus at the Georgia Institute of Technology. He served as Professor of Electrical and Computer Engineering at the Georgia Institute of Technology from 1984 until September 2007. He also served on a part-time basis as the Chief Scientist of Impact Technologies, LLC. Dr. Vachtsevanos directs at Georgia Tech the Intelligent Control Systems laboratory where faculty and students are conducting interdisciplinary research in intelligent control, fault diagnosis and failure prognosis of complex dynamical systems with emphasis on rotorcraft, and hierarchical/intelligent control of Unmanned Aerial Vehicles. The application domains range from automotive electrical storage and distribution systems, to high power amplifiers, environmental control systems, critical engine and drive system aircraft components, and unmanned autonomous systems. Of special note are two programs in prognosis of critical aircraft components sponsored by DARPA, the first one in collaboration with Northrop Grumman, NAVAIR, Sikorsky and other participants and the second with Pratt and Whitney. Dr. Vachtsevanos has developed and has been administering an intensive four-day short course on “Fault Diagnostics/Prognostics for Equipment Reliability and Health Maintenance”. Government and industry employees have attended this unique offering on-site and at Georgia Tech. He is a board member and a fellow of the Prognostics and Health Management Society. He has published over 300 technical papers and is the recipient of the 2002-2003 Georgia Tech School of ECE Distinguished Professor Award and the 2003-2004 Georgia Institute of Technology Outstanding Interdisciplinary Activities Award. He is the lead author of a book on Intelligent Fault Diagnosis and Prognosis for Engineering Systems published by Wiley in 2006. Dr. Vachtsevanos is the Co-Editor of the 5-volume Handbook on Unmanned Aerial Vehicles published by Springer in 2015.
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Gautam Biswas

Prof. Biswas is recognized for a history of outstanding and significant contributions in the field with emphasis on academic excellence and scientific rigor. He has had a tremendous impact on generations of students and practitioners through his contributions to many courses, conferences, workshops, and seminars.
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Giovanni Jacazio

Giovanni Jacazio got a degree in mechanical engineering in 1969 from Politecnico di Torino, Italy, and then an MS degree in mechanical engineering (1971) from the MIT. He was appointed professor of applied mechanics at the University of Trieste, Italy, in 1976, and then at the Politecnico of Torino in 1977 up to his retirement at the end of 2015. After retirement he is teaching courses for PhD students on fly-by-wire flight control systems and prognostics and health management.
His main research activities are in the areas of control and actuation systems for aerospace applications and of prognostics and health management. In recent years he has been leading the research activity performed by Politecnico di Torino on several eurpean and national funded programs.
Giovanni Jacazio is the author of numerous scientific papers and authored several textbooks.
Alongside with his academic activity, he has been working as a consultant for Microtecnica (now Collins Aerospace) contributing to the developments of flight and engine control systems and equipments for many commercial and military aircraft.
He is actively participating to the SAE A-6 and HM-1 Committees and is a member of the editorial board of the International Journal of Prognostics and Health Management.
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