Center for Safe & Secure AI Robotics (CESSAIR)

CESSAIR Summary

Autonomous robots and artificial intelligence (AI) are changing the world. Enabled by advanced technologies, robots can perform many tasks in many environments from the inside of biological systems to outskirts of the Solar System. At the everyday level, AI robotics feeds into the internet of things (IoT) as illustrated by robotic household appliances and autonomous vehicles. It is critical to understand whether these engineered systems continue to be safe and secure as they grow ever more complex.  Malicious actors can exploit the physical components, algorithms, and data that make up AI robots with potentially fatal consequences.

Perhaps more disturbingly, AI robots have an increased potential to display unexpected and complex emergent behavior. Our mission is to find AI robotic-powered solutions for scientific advancement, critical infrastructure needs, molecular engineering and medicine, strengthening along the way national defense and recovery capabilities. Our goals are to address the immediate advanced robotics needs of the industrial, information, military, and first response sectors in the Mohawk Valley and, eventually, New York State, by training a specialized workforce and transferring knowledge and creativity from academia to real world applications.


Research

Project Leader: C-F Chiang - In the future generation of AI network ecosystem, sensors on humans [Aslam 2023], machines, and the environment will all interact constantly, posing unprecedented challenges in terms of massive data mining and processing.  Quantum technologies, with unique resources like entanglement, are up to the task of supporting the huge demands of future IoT systems. The CoPI proposes to investigate a quantum assisted secure distributed ledger system that is client centric and polyvalent. A multiple attribute lock encryption (MALE) provides asymmetric key encryption to protect the data. The keys are of high randomness as they are generated via the simulation of a quantum walk.  This project has applications for smart cities context [Chiang 2020].

E. Cobanera, A. Dziubek, M. Karow (external collaborator) - Robots are mechanical systems with many degrees of freedom locked into complex motion [Suh 2005] by many constraints [Bekey 2017]. Therefore, basic mechanical rules like the relationship between symmetries and conservation laws break down. This breakdown of analytical mechanics is a challenge for robot motion planning. There exist theoretical tools that are optimal for path planning in non-holonomic systems (robots) [Zenkov 1997, Choset 2005] but the technology to discretize these tools into numerical methods has only emerged in recent years. The CoPIs propose to apply recently developed tools from discrete differential geometry including DEC and FEEC) to make numerical robotic motion planning more efficient and accurate by preserving topological information in discretizing robotic dynamics. Because FEEC is a tool developed for continuum mechanics, this project could have important implications for soft robotics.  Mathematical understanding of AI methods is currently very limited, but much needed. The essential capability of deep learning is to approximate functions, probability distributions and differential equations. These are classical problems in robotics (and STEM in general) with the added challenge of high dimensionality. Deterministic and stochastic control problems can be cast into the language of Hamiltonian mechanics, where the cost function satisfies a nonlinear partial differential equation.  Our external collaborator, Prof. M. Karow of UT Berlin (see letter of intent to collaborate), is not funded by this proposal.

William Durgin, E. Cobanera - Robots utilize electrical power systems for propulsion, sensing, communicating, and control. The principal systems include battery storage, hydrogen fuel cell, nuclear thermionic, and solar. Each type is suitable for specific applications but the most important determinant are the duration of electric power and energy level required.  Autonomous robots include aircraft, spacecraft, undersea, surface ships, and ground vehicles [Bekey 2017]. Vulnerability of autonomous robots to bad actors has been extensively studied primarily as hacking through communication links [Matellan 2018]. Here we examine not only threats resulting from external attacks but also from environmental conditions as well as design faults [Batson 2015]. A current example is the Boeing Starliner which has experienced malfunction of its attitude control system both in its helium pressurization system and in its thruster control valves. In this case, engineers are attempting to diagnose the malfunction remotely using a telemetry link. The proposed work addresses the vulnerability of both battery and fuel cell power systems as implemented in autonomous robots. Both an analysis and a laboratory investigation will be established to characterize and measure the effects of system failures whether environmentally or malicious actor initiated. Environmental effects including thermal, pressure, mechanical, and electrical will be investigated. Well known risks due to the lithium ion chemistry and hydrogen storage will similarly be investigated. For both systems the electric power conversion elements as well as high voltage issues within autonomous robots operating at high power levels will be investigated.

P. Sen and A. Singh - The implementation of novel solutions pertaining to next-generation wireless systems, including new spectrum, wavefront engineering, and waveform design, has become imperative for meeting the escalating demands of Machine-to-machine (M2M) communication systems [Rojek 2024]. The Co-PIs propose to investigate the deployment of multiband and multi-protocol wireless communication systems for multi-robot systems. In this project, Co-PI Sen will be responsible for formulating the waveform to support data-rate, security, and spectrum sharing. Co-PI Singh will concentrate on developing effective antenna designs through simulations and prototypes across multiple bands to address coverage, signal radiation effectiveness, and security through directionality. This proposal will be submitted in collaboration with the University at Buffalo (UB) open IoT lab.

Jiayue Shen - The project is comprised of four main objectives. (1) Designing a bio-inspired soft robot capable of efficient underwater movement; (2) incorporating advanced multi-modal sensors for precise microplastic detection in marine settings [Bruno 2023]; (3) refining bio-inspired locomotion methods for effective navigation in marine environments while gathering and filtering microplastic particles [Yu 2024]; and (4) devising AI-driven autonomous navigation algorithms for streamlined marine navigation and microplastic detection [Tirado 2023]. The methodology will involve creating soft robot designs, integrating various sensors, testing locomotion and filtering techniques through extensive field trials in diverse marine conditions, and implementing AI and machine learning algorithms. Expected outcomes encompass a versatile, independent soft robotic system capable of navigating, detecting, and filtering microplastic particles in real-time, generating high-quality environmental data, and showcasing enhanced durability and adaptability. The impact of this project includes significant progress in environmental monitoring, pollution control, and resource preservation.


Research Professionals

Gunyaz Ablay, PhD
Associate Professor
ablayg@sunypoly.edu

Gunyaz Ablay received his Ph.D. degree in Nuclear Engineering from the Ohio State University, and his M.S. and B.S. degrees in Electrical-Electronics Engineering from Firat University. He is currently working as an Associate Professor at Department of Engineering Technology, SUNY Polytechnic Institute, NY, USA. He worked at Department of Electrical-Electronics Engineering, Abdullah Gul University, Kayseri, Türkiye, from 2013 to 2023. He has authored more than 90 papers in international refereed journals and conferences. His research interests include control systems (control theory and its applications), robotics, nonlinear dynamics and chaos.

Publications

  • G. Ablay, “A sliding mode-based model-free control for wheeled mobile robots”, International Journal of Robotics and Automation, pp. 1-7, 2024.
  • G. Ablay, “Variable structure control based active disturbance rejection control of unstable non-minimum phase delayed processes”, Journal of Process Control, vol. 130, p. 103079, 2023.
  • G. Ablay, “A Model-Free Continuous Integral Sliding Mode Controller for Robust Control of Robotic Manipulators”, IAES International Journal of Robotics and Automation, vol. 12(1), pp. 54-64, 2023.
  • E. Ateş, B. Tekgün, G. Ablay “Sensorless Position and Speed Control of IPMSM with Sliding Mode Observer and Voltage Signal Injection,” IEEE 3rd Global Power, Energy and Communication Conference (GPECOM 2021), Nevşehir, Turkey, 5-8 Oct 2021.
  • G. Ablay, “Model-Free Controller Designs for a Magnetic Micromanipulator”, Journal of Dynamic Systems Measurement and Control- Transactions of the ASME, vol. 143, pp. 031003-1-7, 2021.
  • M. Böyük, Y. Eroğlu, G. Ablay and K. İçöz, “Feedback Controller Designs for an Electromagnetic Micromanipulator”, Proceedings of the Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering, vol. 234, no. 6, pp. 759-772, 2020.
  • E. Ateş, B. Tekgün, G. Ablay “Sliding Mode Control of a Switched Reluctance Motor Drive with Four-Switch Bi-Directional DC-DC Converter for Torque Ripple Minimization,” Int. Conf. on Smart Energy Systems and Technologies, Istanbul, Turkey, 7-9 Sept 2020.
  • G. Ablay, Y. Eroğlu, M. Böyük, K. İçöz “A backstepping based contactless manipulation of a magnetic microparticle,” Int. Conference on Material Science and Technology (IMSTEC’19), Ankara, Turkey, Oct 2019.
  • G. Ablay, M. Böyük and K. İçöz, “Design, modeling, and control of a horizontal magnetic micromanipulator”, Transactions of the Institute of Measurement and Control, vol. 41, no. 11, pp. 3190-3198, 2019.
  • G. Ablay, M. Böyük, Y. Eroğlu, “A Magnetic Micromanipulator and its Control,” Int. Conference on Human-Computer Interaction, Optimization and Robotic Applications (HORA 2019), Nevşehir, Turkey, Jun 2019.
  • M. Böyük, K. İçöz, G. Ablay, “Electromagnetic Micromanipulator Designs for Biological Species,” International Eurasian Conference on Biological and Chemical Sciences (EURASIANBIOCHEM 2018), Ankara, Turkey, 2018.
  • M.A. Canlılar, F.T. Selim, A. Payas, M. Böyük, K. İçöz, G. Ablay,  “Design of Magnetic Tweezers for Single Molecule Manipulation,” Int. Conf. on Materials Science Mechanical and Automation Engineering and Technology (IMSMATEC 2018), Izmir, Turkey, 2018.

Bruno Andriamanalimanana
Associate Professor
fbra@sunypoly.edu

Bruno Andriamanalimanana’s current research interests include causal and active inference, particularly in relation to foundation models, and the software engineering of AI systems. He holds a Ph.D. in Combinatorics from Lehigh University, completed in January 1980, an M.S. in Mathematics from Lehigh University (May 1977), and a B.S. in Mathematics from the University of Madagascar (October 1974). His research experience includes working on DoD DARPA BAA phases I/II in real-time network management, focusing on statistical and AI approaches, where he collaborated with Synectics Corp. as a contractor and SUNY Poly as a sub-contractor. Additionally, he contributed to an NSF-funded Amateur Radio Lab for Software Engineering.

Professionally, Bruno has served as an associate and assistant professor of computer science at the State University of New York Polytechnic Institute from September 1984 to the present. Prior roles include assistant professor of mathematics at The Pennsylvania State University in Reading, PA (September 1983 - August 1984), assistant professor of mathematics at Lafayette College in Easton, PA (September 1982 - August 1983), and visiting assistant professor of mathematics at Lehigh University in Bethlehem, PA (January 1982 - August 1982).

Publications

  • Unitals and ovals of symmetric block designs in LDPC and space-time coding, SPIE  -  The International Society for Optical Engineering, vol. 5440, pp. 56-66, 2004
  • Irreducible root systems for space-time coding in wireless communication, SPIE  -  The International Society for Optical Engineering, vol. 510, pp. 1-9, 2003
  • Efficient Variant Transaction Injection Protocols and Adaptive Policy Optimization for Decentralized Ledger Systems, Bruno Andriamanalimanana, Chen-Fu Chiang, Jorge Novillo, Sam Sengupta, Ali
  • Tekeoglu. International Journal of Grid and Utility Computing, vol. 11, no. 6, pp. 847 - 856 (2020)
  • Hankel-based Unsupervised Anomaly Detection, Korkut Bekiroglu, Ali Tekeoglu,
  • Bruno Andriamanalimanana, Saumendra Sengupta, Chen-Fu Chiang, Jorge Novillo.
  • In 2020 American Control Conference (ACC), pp. 5139-5144. IEEE, (2020)

Chen-Fu Chiang
Assistant Professor
chiangc@sunypoly.edu

Chen-Fu Chiang completed his postdoctoral fellowship in Quantum Computation at the Université de Sherbrooke in Sherbrooke, Quebec, Canada, from January 2012 to December 2013. He earned a Ph.D. in Computer Science from the University of Central Florida in December 2011, an M.S. in Computer and Information Science from the University of Pennsylvania in December 2003, and a B.S. in Computer Science from the University of Central Florida in August 2002.

Chen-Fu Chiang has held multiple academic positions, including his current role as an Associate Professor of Computer Science at the State University of New York Polytechnic Institute in Utica, New York, a position he has held since 2022. Before this, he served as an Assistant Professor at the same institution from 2015 to 2022. Prior to his time at SUNY Poly, he was an Assistant Professor of Computer Science at the University of Central Missouri in Warrensburg, Missouri, from 2014 to 2015.

Publications

  • Chiang CF, Alsing PM. Quantum-Walk-Inspired Dynamic Adiabatic Local Search. Entropy (Basel). 2023 Aug 31;25(9) PubMed Central PMCID: PMC10528767.
  • Chiang C, Alsing PM. Grover Search Inspired Alternating Operator Ansatz of Quantum Approximate Optimization Algorithm for Search Problems. Quantum Information Processing. 2023 May 19; 22:221.
  • Chiang C. Overview: Recent Development and Applications of Reduction and Lackadaisicalness Techniques for Spatial Search Quantum Walk in the Near Term. Quantum Information Processing. 2020 September 28; 19:364.
  • Chiang C. Simulation of Quantum Walks via Hamiltonian Reduction. IEEE Xplore.
  • 2019 February 28. Available from: https://ieeexplore.ieee.org/document/8653568 DOI: SCV Biographical Sketch v.2023-1 (rev. 01/31/2023) Page 1 of 3 10.1109/NANOTECH.2018.8653568
  • Chiang C, Gregory A. Quantum Walk on Dimensionality Reduced Complete Bipartite Graphs with k Edges Removed. IEEE Xplore. 2020 March 03; :1. Available from: https://ieeexplore.ieee.org/abstract/document/9024513 DOI: 10.1109/GCWkshps45667.2019.9024513

Emilio Cobanera
Assistant Professor
cobanee@sunypoly.edu

Emilio Cobanera is the Director and Associate Professor of Physics at SUNY Polytechnic Institute in Utica, New York. He completed his Ph.D. in Physics at Indiana University, Bloomington, Indiana, in May 2012 and received his Licentiate in Physics from Universidad Nacional de La Plata in Buenos Aires, Argentina, in May 2006.

Since Fall 2017, Emilio has been an Assistant Professor of Physics in the Department of Mathematics and Physics at SUNY Polytechnic Institute, with a promotion to Associate Professor effective in Fall 2024. He has also served as a Visiting Assistant Professor of Physics at Dartmouth College in Hanover, New Hampshire, since Fall 2018. His prior experience includes postdoctoral research positions at Dartmouth College under Prof. Lorenza Viola (Fall 2015 - Fall 2017), the Institute for Theoretical Physics at Utrecht University in the Netherlands under Prof. Dr. Cristiane Morais Smith (Fall 2014 - Fall 2015), and the Lorenz Institute at Leiden University in the Netherlands under Prof. Dr. Carlo Beneker (Fall 2012 - Fall 2014).

Among his selected awards, Emilio received the Indiana University Esther L. Kinsley Ph.D. Dissertation Award in 2012, which included a $5,000 prize.

Publications

  • Flynn V, Cobanera E, Viola L. Topological zero modes and edge symmetries of metastable Markovian bosonic systems. Physical Review B. 2023 December 19; 108(21)
  • Flynn V, Cobanera E, Viola L. Topology by Dissipation: Majorana Bosons in Metastable Quadratic Markovian Dynamics. Physical Review Letters. 2021 December 10; 127(24)
  • Alase A, Cobanera E, Ortiz G, Viola L. Exact Solution of Quadratic Fermionic Hamiltonians for Arbitrary Boundary Conditions. Physical Review Letters. 2016; 117(7)Cobanera E, Kristel P, Morais Smith C, Quantum Brownian motion in a Landau level, Phys. Rev. B 93, 245422 (2016)
  • Diez M, Monteiro A, Mattoni G, Cobanera E, Hyart T, Mulazimoglu E, Bovenzi N, Beenakker C, Caviglia A. Giant Negative Magnetoresistance Driven by Spin-Orbit Coupling at the LaAlO 3 / SrTiO 3 Interface. Physical Review Letters. 2015; 115(1)
  • Ortiz G, Dukelsky J, Cobanera E, Esebbag C, Beenakker C. Many-Body Characterization of Particle Conserving Topological Superfluids. Physical Review Letters. 2014 December 30; 113(26)
  • Cobanera E, Ortiz G, Nussinov Z. Unified Approach to Quantum and Classical Dualities. Physical Review Letters. 2010; 104(2)

William Durgin 

Dr. William Durgin, a Fellow of the American Society of Mechanical Engineers and Associate Fellow of the AIAA, earned his Ph.D. from Brown University in 1970. He has held faculty positions and administrative posts at the University of Florida, Worcester Polytechnic Institute, California State Polytechnic University, and the SUNY Polytechnic Institute. His expertise includes fluid mechanics, modeling and simulation, aerodynamics, micro-gravity flow, turbulence, hydrodynamics, ultrasonic wave propagation, and vortex flows. In recent years, he has worked extensively in electrified aircraft design and sustainable energy systems including unpiloted air systems (UAS). Specifically he is an elected member of the AIAA Electrified Aircraft Technology Technical Committee, served as a board member for the The Solar Energy Center, chaired the California Space Grant Consortium on Workforce Development Committee. He was a cofounder of the Center for Research in Energy and Alternative Transportation Technologies, funded by the US Department of Energy and founder of the WPI Aerospace Engineering program. Additionally, he has been a FIRST robotics mentor for many years and oversaw the formation of the WPI Robotics program. Research and publications pertaining to autonomous experiments and vehicle research work include both aerospace design and low gravity research aboard spacecraft. 
Funding for much of this work was provided by NASA and includes 
  • “Innovative Airworthiness Technologies” $30,000, 
  • “Solute Nucleation and Growth in Supercritical Fluids:”, $20,011, 
  • "Nucleation in Supercritical Fluids," NASA, Lewis Research Center, with G. Smedley, 1993 - 1997, $420,000, 
  • "Low-Gravity Heat Transfer," 1989 - 1991, $66,000. 
  • Creation of the MEMS Laboratory was funded by the Lufkin Foundation, $400,000, 2004.

Publications

  • Rodenhiser, R. J., W. W. Durgin, and H. Johari, “Ultrasonic Method for Aircraft Wake Vortex Detection,” AIAA, Journal of Aircraft, Vol. 44, No. 3, May-June 2007.
  • Rogers, M.J.B, Bauugher, Blanchard, C.R., DeLombard, R., Durgin, W.W., Matthiesen, D.H., Neupert, W., and Roussel, P., “A Comparison of Low-gravity Measurements On-board Columbia during STS 40,” Microgravity Science and Technology, V1/3, pp 207-216, 1993.
  • Looft, F.J.C., and Durgin, W.W., “The WPI/Goddard Space Flight Center Projects Program,” 32nd ASEE/IEEE Frontiers in Education Conference, Boston, MA.
  • Looft, F.S., Durgin, W.W., and Moshini, L., “Payload Design for Space Flight Experiments,” Aerospace Structures and Electronics, Dallas, October 1988.

Andrea Dziubek 

Andrea Dziubek holds a Ph.D. in Energy Engineering and Process Engineering from TU-Berlin in Germany, awarded in February 2006. Since September 2011, she has been an Associate Professor in the Department of Mathematics & Physics at SUNY Polytechnic Institute in Utica, New York, achieving tenure in September 2018. Prior positions include serving as a Research Associate in the Department of Mathematical Sciences at Indiana University–Purdue University Indianapolis (IUPUI) from August 2009 to May 2011, a Visiting Assistant Professor in the Department of Mathematics at Rose-Hulman Institute of Technology in Terre Haute, Indiana, from August 2007 to June 2008, and as Co-chair and Lecturer of the Project Group Applied Mathematics at TU-Berlin from October 1998 to September 2006.

Andrea has been actively involved in organizing significant academic events, including the Utica Fall Workshops on “Geometric Mechanics and Structure Preserving Discretizations of Shell Elasticity” (GMSPD) held from July 17-28, 2023, August 27 - September 2, 2019, and “Geometry and Symmetry based Mathematical and Computational Methods with Applications in Engineering, Science and Education” from August 27-30, 2015. Additionally, she has been part of several grant proposals, including three NSF grants (2020 with the SUNY Poly team led by M. Carpenter, 2019 with M. Reale and E. Rusjan, and 2017 with G. Guidoboni, A. Hirani, and E. Rusjan) and an American Institute of Math (AIM) grant in 2018. Her funded activities include organizing three GMSPD Workshops, supporting approximately 15 STEM/SURP student projects, and conference travel.

Publications

  • Tensor Analysis, H. Schade & K. Neemann, De Gruyter Textbook, translated by AD & E. Rusjan
  • Effect of ocular shape and vascular geometry on retinal hemodynamics: a computational model, Biomechanics and Modeling in Mechanobiology, Springer, AD, G. Guidoboni, A. Harris, A.H. Hirani, E. Rusjan, W. Thistleton
  • Using Generalized Dimensional Analysis to Obtain Reduced Effective Model Equations for Condensation in Slender Tubes with Rotational Symmetry, ASME Journal of Heat Transfer, AD
  • Equations for Two-Phase Flows: A Primer, Meccanica, Springer, AD

 

Robert Payne

Robert Payne holds a Master of Science in Business Management from SUNY Institute of Technology at Utica/Rome in Marcy, NY, and a Bachelor of Science in Industrial Engineering Technology from the State University College at Buffalo, NY. He is also a certified Total Quality Management Instructor and has served as an Adjunct Instructor at the Institute for Quality Improvement at Mohawk Valley Community College in Utica, NY.

Robert has been an Adjunct Professor at SUNY Polytechnic Institute in Utica, NY, since January 2010, within the College of Engineering’s Mechanical Engineering Technology program. He also serves as an advisor for student clubs, including the AMA Drone, Additive, and Combat Robotics Clubs. Previously, he was Vice President of Manufacturing & Operations at Human Technologies Corporation in Utica, NY, from October 2006 to May 2011.

Robert is actively involved in various memberships and affiliations. He is a founding member of CNY Drones, a STEM-based competition for students, and serves as an advisor for three student clubs at SUNY Polytechnic Institute. He has held roles such as a member of the SUNYIT Advisory Board for Engineering Technology since 2012, a member of the American Society for Quality (ASQ), and the Executive Committee Planning Chair for CNYFIRST® at SUNYIT from 2009 to 2013. Additionally, he was the Logistics Team Coordinator for the FLL@SUNYIT Championship Tournament (2011 - 2013) and has coached both FIRST® LEGO® League (2008 - 2010) and FIRST® Tech Challenge teams (2010 - 2016). He has also chaired the Safety Committee for the Town of New Hartford, NY (2001 - 2005 and 2006 - 2009) and partnered with BOCES in the Excellence in Manufacturing initiative as a business host (1998 - 2006). Furthermore, he served as an Advisory Board Member for the Central Association for the Blind & Visually Impaired from 2000 to 2006.

 

Steven Schneider 


Appontments

  • SUNY Polytechnic Institute, Professor, 2006-Present, Associate Professor, 1998-2006, Assistant Professor, 1991-1998
  • Rensselaer Polytechnic Institute, Visiting Associate Professor, Department of Language, Literature and Communication, 2003-2004; Research Associate, Social Behavioral Research Laboratory, 2003-2004
  • Annenberg Public Policy Center, University of Pennsylvania, Post-Doctoral Research Fellow, 1999-2001

Education

  • Massachusetts Institute of Technology, Ph.D., Political Science, 1997
  • University of Pennsylvania, Annenberg School of Communications, M.A., Communications, 1988
  • George Washington University, B.A., Political Communications, 1981

Selected Administrative Appointments 

  • Interim Provost, SUNY Polytechnic Institute, 2018-2022

Interim Dean, School of Arts & Sciences, SUNY Institute of Technology, 2007- 2010

Publications

  • The Internet and National Elections: A Comparative Study of Web Campaigning, 2007. Kluver, R., Jankowski, N., Foot, K. and Schneider, S. (Eds). Routledge.
  • Web Campaigning, 2006. Foot, K. A., and Schneider, S. M. MIT Press.
  • Web Historiography and the Emergence of New Archival Forms. 2011. Dougherty, M. & Schneider, S. M. In Park, D., Jankowski, N. & Jones, S. (Eds.), Long History of New Media: Technology, Historiography, and Contextualizing Newness, Peter Lang Publishing.
  • Object-Oriented Web Historiography, 2010. Schneider, S. M. and Foot, K. A. In Brugger, N. (Ed.), Web History. Peter Lang Publishing.
  • Taking Web Archiving Seriously. 2009. Schneider, S. M., Foot, K. A., and Wouters, P. In Jankowski, N. (Ed.), e-Research: Transformation in Scholarly Practice. Routledge.

Priangshu Sen 


Priyangshu Sen is an Assistant Professor in the Department of Engineering, at SUNY Polytechnic Institute. 
He received his Bachelor of Technology degree from Biju Patnaik University of Technology, India, in 2012. He completed his industrial training in Garden Reach Shipbuilders and Engineers Limited on the communication system on a naval board ship, in 2011. He started his career as a research engineer at the University of Calcutta in Radio Physics and Electronics, in 2013. He received his Master of Technology degree in Radio Physics and Electronics from the University of Calcutta, India, in 2015. He completed his summer training at Samsung Research America in the sub-terahertz communication system and protocol design, in 2019. Recently, he received his Ph.D. degree from the Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA, in 2022, under the guidance of Professor Josep M. Jornet in the UN Lab, Boston, MA, USA. His current research interests include experimental and statistical characterization of terahertz communication channels and networks. He worked as a wireless system development engineer at Amazon in the USA from 2022 to 2023. At SUNY Poly, he is the designated point of contact for wireless communication and progress with KNUST representatives. He also streamlined the development of the ACES laboratory and set up the versatile wireless testbed at THz and mmWave frequencies. Further, he has created a software-defined backbone for the system which has greatly facilitated research, collaboration and funding opportunities. He obtained external funding through AFRL-mid atlantic solicitation to lead the channel measurement effort at THz frequencies.
 

Jiayue Shen

Jiayue Shen holds a Ph.D. in Mechanical Engineering from Old Dominion University in Norfolk, VA (2018), an M.S. in Mechanical Engineering from Lanzhou University of Technology in Lanzhou, China (2012), and a B.S. in Mechanical Engineering from Zhejiang University in Hangzhou, China (2009). Currently, she serves as an Assistant Professor at SUNY Polytechnic Institute in Utica, NY, a position she has held since June 2018. In addition, she has been a Research Scientist with the SUNY Poly Research Foundation in Albany, NY, since August 2019, and the MET Program Coordinator at SUNY Polytechnic Institute since June 2022.

Dr. Shen is actively involved in research with multiple funded projects. She is the Principal Investigator (PI) for “Titanium Alloys and Nanostructures for Next Generation Biomedical Devices,” a project awarded a 2024 SUNY Poly Seed Grant of $52,000. She also leads a National Science Foundation S-STEM project, “Breaking down barriers to degree completion in Engineering and Engineering Technology programs through experiential learning and self-directed professional development,” funded with $750,000 in 2022. Additionally, she is a Co-PI for “Creating Collaboratively Across Visual Abilities (CCAVA): Open Library of Methods and Tools for Collaboration and Connection among Conventional and Assistive Technology Users,” supported by a $30,000 SUNY IITG Tier 2 grant, and for “Virtual Reality (VR) for Engineering Education: an interactive learning module and virtual labs,” funded with a $15,000 SUNY IITG Tier 1 grant. Dr. Shen also contributes as senior personnel to the SUNY Poly Offshore Wind Training Team (SPOWT²), a project funded by New York’s Offshore Wind Training Institute with $866,000 through the first and second rounds.

Publications

  • Shen, L. Mei, D. K. Jones, W. Chen, X. Wang, & M. Geng, "Numerical Study of a Microfluidic-Based Strain Sensor: Proof of Concept," Engineering Proceedings, vol. 27, no. 1, p. 46, Mar. 2022. https://doi.org/10.3390/ecsa-9-13323
  • L. Mei, D. Cui, J. Shen, D. Dutta, W. Brown, L. Zhang, & I.K. Dabipi, "Electroosmotic mixing of non-Newtonian fluid in a microchannel with obstacles and zeta potential heterogeneity," Micromachines, vol. 12, no. 4, p. 431, Apr. 2021. https://doi.org/10.3390/mi12040431
  • Bekiroglu, Korkut, et al. "Low-cost internet of things based real-time pavement monitoring system." 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). IEEE, 2021. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00018
  • J. Shen, M. Geng, A. Schultz, W. Chen, H. Qiu, & X. Wang, "Numerical study of a multi-layered strain sensor for structural health monitoring of asphalt pavement," in 6th International Electronic Conference on Sensors and Applications, Nov. 2019. https://doi.org/10.3390/ecsa-6-06527
  • J. Shen, M. Stacey, & Z. Hao, "A Distributed-deflection Sensor with a Built-in Probe for Conformal Mechanical Measurements of Costal Cartilage at Its Exterior Surface," IEEE Sensors Journal, vol. 18, no. 2, pp. 822-829, Jan. 2018. https://doi.org/10.1109/JSEN.2017.2773418

Arjun Singh 


Arjun Singh (Member, IEEE) received the B.S. summa cum laude and M.S. in Electrical Engineering from the University at Buffalo, The State University of New York, NY, USA, in 2016 and 2018, respectively. He obtained his Ph.D. in Electrical Engineering from Northeastern University, Boston, USA in December 2021.  Sicne 2022 he is an Assistant Professor in the Department of Engineering at the State University of New York Polytechnic Institute, Utica, NY. His research interests include realizing Terahertz-band wireless communications, dynamic spectrum sharing, space networks, wavefront engineering, graphene-plasmonics and intelligent reflecting surfaces. In these areas, he has coauthored several publications in leading journals, as well as 1 US patent. He is also serving as the media chair for the IEEE RCC Special Interest Group on Terahertz Communications and as a reviewer for reputed journals including IEEE communications magazine. 
 
At SUNY Poly, he has been serving as a co-chair of the IEEE Club, which has gained Wildcat status under his mentorship. The students from the IEEE Club have successfully published in high impact international conferences, becomes RAs, and are engaged in research and community outreach effort, such as bringing back FIRST Robotics to the Institute. He is also a member of the SUNY Poly AI Task force, where he has been working on the technical side by addressing the potential of AI in wireless solutions, while also being an active participant from the humanitarian and interdisciplinary issues. He is also a regular representative of the ECE department at the accepted students day and outreach activities, as well as being a member of the delegation identified to engage in outreach activities with the delegation from KNUST. 
 
He has successfully led to the development of the THz research program at SUNY Poly, by supervising the purchase of over \$400,000 in purchases for setting up the ACES testbed, which is a state-of-the-art testbed for THz communications. He has also secured external funding from AFRL and NSF, and is engaged in regular proposals to the NSF, both individual as well as collaborative. His successful work in teaching has also been recognized by the department through the Dean's award in teaching excellence in 2023.
 

Yu Zhou
Associate Professor of Mechanical Engineering, SUNY Polytechnic Institute


Professional Preparation

  • The Johns Hopkins University, Baltimore, Maryland, PhD in Mechanical Engineering, 2004
  • The Johns Hopkins University, Baltimore, Maryland, Postdoctoral Fellow in Robotics, 2004-2005

Appointments

  • 09/2013 – present, Associate Professor of Mechanical Engineering, Department of Engineering, State University of New York Polytechnic Institute (SUNY Poly)
  • 09/2005 – 08/2013, Assistant Professor, Department of Mechanical Engineering, State University of New York at Stony Brook (SBU)

Publications

  • Y. Zhou and J. Dorismond, “Optimal Placement of UAVs to Provide Surveillance Coverage for a Ground Vehicle in a Collaborative Search-and-Rescue Operation”, AI, Computer Science and Robotics Technology, 3(1):1–26, 2024.
  • Y. Zhou, W. Liu, X. Lu, and X. Zhong, “Single-camera trilateration”, Applied Sciences, 9(24): article no.5374, 2019.
  • X. Zhong, Y. Zhou, and H. Liu, “Design and recognition of artificial landmarks for reliable self-localization of mobile robots”, International Journal of Advanced Robotic Systems, Jan-Feb:1-13, 2017.
  • X. Zhong, and Y. Zhou, “A reinforcement learning trained fuzzy neural network controller for maintaining wireless communication connections in multi-robot systems”, in Proceedings of SPIE DSS 2014, Baltimore, Maryland, 2014.
  • X. Zhong, and Y. Zhou, “Establishing and maintaining wireless communication coverage among multiple mobile robots using a radial basis network controller trained via reinforcement learning,” in Proceedings of 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO2013), Shenzhen, China, 2013.
  • S. Chu, P. Wei, X. Wang, Y. Zhou, “Deployment of a connected reinforced backbone network with a limited number of backbone nodes”, IEEE Transactions on Mobile Computing, 12(6):1188-1200, 2013.
  • X. Zhong, and Y. Zhou, “Behavior-based fuzzy control framework for multi-mobile-robot deployment”, in Proceedings of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO2012), Guangzhou, China, 2012.
  • X. Zhong, and Y. Zhou, “Maintaining wireless communication coverage among multiple mobile robots using fuzzy neural network”, in Proceedings of the 8th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA2012), Suzhou, China, 2012.
  • X. Zhong, and Y. Zhou, “Establishing and maintaining wireless communication coverage among multiple mobile robots using artificial neural network”, in Proceedings of 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO2011), pp.2083-2089, Phuket Island, Thailand, 2011.
  • X. Zhong, and Y. Zhou, “Establishing and maintaining wireless communication coverage among multiple mobile robots via fuzzy control”, in Proceedings of ASME 2011 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2011), paper DETC2011-47989, Washington D.C., 2011.
  • X. Lu, Y. Zhou, and X. Zhong, “Distributed collision-avoiding deployment control of multiple nonholonomic mobile robots”, in Proceedings of ASME 2011 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2011), paper DETC2011-47991, Washington D.C., 2011.
  • Y. Zhou, “A closed-form algorithm for the least-squares trilateration problem”, Robotica, 29(3):375-389, 2011.
  • Y. Zhou, “Distributed control of multi-robot deployment motion”, Motion Control, F. Casolo (Ed.), INTECH, 2010.

External Partners

FDNY Robotics Unit

Faculty Partnerships.--- Co-PI associate professor Chiang has collaborated with the quantum algorithm team at AFRL. Co-PI Chiang collaborates with Dr. Tzu-Chieh Wei, deputy director of Center of Distributed Quantum Processing (CDQP), on the application of quantum technology into the blockchain ecosystem. Dr. Wei’s interest in the proposed project aligns with the CESSAIR focus. In addition, Co-PI Chiang also collaborates with Dr. Nengkun Yu  from the CS department at SBU whose expertise is in distributed quantum computing network which plays an important role for introducing quantum technology into IoTs and quantum robotics.

Faculty partnerships.--- PI associate professor Cobanera is a Visiting Associate Professor of Physics at Dartmouth where he has been visiting faculty since 2018. He collaborates in research with both faculty in the Physics and Astronomy Department and the Thayer School of Engineering. 

Faculty partnerships.--- Dr. Jiayue Shen is a Co-PI for the Center for Advanced Systems and Materials for Advanced Development (CASMAD) and the Smart Infrastructures and Sustainability Center, where she collaborates on cutting-edge research in mechanical engineering technology. Dr. Shen is also the Principal Investigator for the NSF S-STEM project, which focuses on funding talented engineering and engineering technology students to succeed in their degrees. She is actively involved in partnerships with local entities such as the Indium Corporation, Masonic Medical Research Institute, and the Resource Center for Independent Living, focusing on practical applications of her research in flexible electronics and microfluidic-based sensors, which are fundamental to soft robots. Her role as a senior personnel member for the SUNY Polytechnic Offshore Wind Training Team (SPOWT²) and the Liberty Partnership Program (LPP) further underscores her experience in workforce training and K-12 outreach.

Faculty partnerships.--- Co-PI professor Durgin is an elected member of the AIAA Electric Aircraft Technologies committee and serves on the Hydrogen Power sub-committee. He collaborates with NUAIR and AXenterprises in teaching undergraduates and is in-process of establishing a capstone project. He serves on the WPI Aerospace Engineering Advisory Board. WPI is the home to the Honeywell Hydrogen Fuel-Cell Storage project being conducted on that university campus.  He is well-known in NASA Centers as well as Headquarters and will seek to expand the proposed center through proposals and funding. Finally, he is one of the co-PI’s leading the Sustainable Aerospace Energy Center already funded by SUNY Poly. Dr. Jiayue Shen is a Co-PI for the Center for Advanced Systems and Materials for Advanced Development (CASMAD) and the Smart Infrastructures and Sustainability Center, where she collaborates on cutting-edge research in mechanical engineering technology.

Faculty partnerships.--- Co-PI assistant professor Sen is the designated point of contact at SUNY Poly for wireless communication and progress with KNUST representatives. He has secured external funding through AFRL-mid Atlantic solicitation to lead the channel measurement effort at THz frequencies. Co-PI Sen is also is one of the co-PI’s leading the WINGS Center already funded by SUNY Poly. Collaborator assistant professor Singh is the director of WINGS.

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