master thesis in control engineering

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MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.

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Doctoral theses, graduate theses, undergraduate theses, recent submissions.

Locomotive superheaters and feed water heaters 

A cost accounting system for the F. L. & J. C. Codman Company buffing wheels 

The electrical strength of insulators in high vacua 

Dissertations and Theses

Dissertations.

Dissertations done in conjunction with this lab are all published with the ASU Library system.

Masters Theses

• Sunil Deshpande, “A control engineering approach for designing an optimized treatment plan for fibromyalgia,” M.S., May, 2011.
• Jay D. Schwartz,”Stochastic Optimization and System Identification for Next-Generation Supply Chain Management,” M.S.E., May, 2007.
• Wenlin Wang, “Model Predictive Control Strategies for Supply Chain Management in Semiconductor Manufacturing.” M.S.E, December, 2004.
• Martin W. Braun, “Model-on-Demand Model Predictive Control for Nonlinear Process Systems,” M.S.E., May, 2001.
• Raul Ortiz-Mojica,” Minimum Crest Factor Input Design for Plant-Friendly Identification of Process Systems,” M.S., August 2000.
• Shan Zong, “Minimal Crest Factor Input Signal Design and Frequency-Domain Curvefitting for Control-Relevant Identification,” M.S., December 1997.
• Wei-Ming Ling, “Modeling Strategies for Model-Based Process Control,” M.S.E. (Masters in Passing), May, 1996.
• Xiangqin Chen, “Experimental Design for Robust Process Control Using Schroeder-Phased Input Signals,” M.S., May, 1995.
• Abhijit P. Desai,”Towards the Development of Intelligent Process Control Strategies,” M.S., December 1994.
• Saurabh Bhatnagar, Thesis title: “Iterative Restricted Complexity Modeling via Closed-Loop Identification ” M.S., December, 1993.
• Manoj K. Shetty, “Development of an Instructional Control Systems Engineering Lab Using the TDC 3000 System,” M.S., December, 1993
• Sujit V. Gaikwad, “Advanced process control for distributed control systems via reduced-order controllers,” M.S., May, 1993.
• Emrod Elisante,”Robustness and identification issues in Horizon Predictive Control with Application to a Binary Distillation Column.,” M.S., May, 1992.

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Control Systems

• Electrical Engineering
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Department of Electrical Engineering , P.O. Box 513

5600 MB Eindhoven

Student theses

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A comparative study of online state-of-health estimation algorithms for lithium-ion batteries.

Supervisor: Bergveld, H. J. (Supervisor 1)

Student thesis : Master

A Control Lyapunov and Barrier function approach to safe stabilization of nonlinear systems with application to cancer treatment

Supervisor: Lazar, M. (Supervisor 1) & Weiland, S. (Supervisor 2)

Active control of thermo-acoustic instabilities with ozone

Supervisor: Hazenberg, T. (Supervisor 2), Özkan, L. (Supervisor 1) & van Oijen, J. A. (Supervisor 1)

Active damping for charge driven piezoelectric nanopositioning stage using self sensing control

Supervisor: Weiland, S. (Supervisor 1), Butler, H. (Supervisor 2), Jansen, B. (External coach) & Vandervelden, R. (External person) (External coach)

Adaptive friction compensation for an industrial coreless linear motor setup

Supervisor: Nguyen, T. (Supervisor 1), Lazar, M. (Supervisor 2) & Butler, H. (Supervisor 2)

Adaptive port-Hamiltonian discretization of distributed parameter systems

Supervisor: Weiland, S. (Supervisor 1) & van den Hurk, D. (Supervisor 2)

Advanced adaptive space discretization for special element method applied to electromechanical devices

Supervisor: Lomonova, E. (Supervisor 1), Wijnands, K. (Supervisor 2), Krop, D. (Supervisor 2), Toth, R. (Supervisor 2) & Curti, M. (Supervisor 2)

Adversarial testing for an uncertain control system

Supervisor: Haesaert, S. (Supervisor 1) & Weiland, S. (Supervisor 2)

A fast nonlinear MPC solver for real-time control of linear motors

Supervisor: Lazar, M. (Supervisor 1) & Nguyen, T. (Supervisor 2)

A frequency domain approach to MPC tuning

Supervisor: Backx, A. C. P. M. (Supervisor 1) & Özkan, L. (Supervisor 2)

A mechatronic force feedback device

Supervisor: Steinbuch, M. (Supervisor 1), Serrarens, A. F. A. (External coach) & Damen, A. (Supervisor 2)

An Adaptive Restart Heavy-Ball Projected Primal-Dual Method for Solving Constrained Linear Quadratic Optimal Control Problems

Supervisor: Donkers, M. C. F. (Supervisor 1)

An assessment of distributed optimization algorithms for LED-based illumination control

Supervisor: Lazar, M. (Supervisor 1) & Pandharipande, A. (External coach)

Anticipative velocity optimization for heavy duty trucks using road geometry information

Supervisor: Kessels, J. (Supervisor 1) & van Reeven, V. (Supervisor 2)

Application of Dynamic network identification on the Tennessee Eastman process

Supervisor: Özkan, L. (Supervisor 1) & Ludlage, J. H. A. (Supervisor 2)

Applying topology optimization for thermal and fluid problems in mechatronic systems

Supervisor: Weiland, S. (Supervisor 1) & Oosterhuis, J. P. (External person) (External coach)

A Real-time Network for a Solid-State Transformer

Supervisor: Cuk, V. (Supervisor 1), Wijnands, C. G. E. (Supervisor 2), Lazar, M. (Supervisor 2) & van Dam, B. (Supervisor 2)

A static optimization approach to vehicle energy management of a hybrid electric vehicle with engine start/stop

A study of mobile robot localization in changing indoor environments.

Supervisor: Weiland, S. (Supervisor 1), van der Heijden, A. (External person) (External coach) & Kajml, V. (External person) (External coach)

Automated Multi-Input-Multi-Output Feedback Controller Design Using Decoupling Technique: Application to Wire Bonders

Supervisor: Tóth, R. (Supervisor 1), Schoukens, M. (Supervisor 2), van Eijk, L. F. (External coach), Gerritsen, J. (External person) (External coach) & Kostic, D. (External coach)

Beyond Boundaries: Enhancing Vehicle Egomotion Estimation through IMU-RADAR Tight-Coupling

Supervisor: Lefeber, A. A. J. (Supervisor 1), van der Sande, T. P. J. (Supervisor 2) & Lazar, M. (Supervisor 2)

Centralized and distributed identified model based predictive control for Museum Hermitage Amsterdam

Supervisor: Lazar, M. (Supervisor 1), Ludlage, J. (Supervisor 2), Van den Hof, P. (Supervisor 2) & Lefeber, E. (Supervisor 2)

Clustering Based Model Reduction Method for Interconnected Port Hamiltonian Systems

Supervisor: Weiland, S. (Supervisor 1) & Cheng, X. (Supervisor 2)

Communication-efficient multi-agent reinforcement learning for collaborative tasks: an event-triggered approach

Supervisor: Sun, Z. (Supervisor 1)

Complete vehicle energy management for fuel-cell hybrid long-haul coach

Supervisor: Donkers, M. C. F. (Supervisor 1) & Blom, A. P. C. (External person) (External coach)

Composition of Thermodynamic Systems: Thermal Conduction in Solids

Supervisor: Weiland, S. (Supervisor 1) & Lou, D. (Supervisor 2)

Consensus-based Distributed Model Predictive Control Design with Application to Modular Multilevel Converters

Supervisor: Lazar, M. (Supervisor 1) & Reyes Dreke, V. (Supervisor 2)

Constraint control of an interventional X-ray machine using sampling-based nonlinear model predictive control

Supervisor: Bobiti, R. V. (Supervisor 1) & Lazar, M. (Supervisor 2)

Construction of a data-driven HD diesel engine model towards fuel consumption estimation and an energy management case study based on torque peak shaving in transient conditions

Supervisor: Kessels, J. (Supervisor 1)

Control architecture versus control performance, a case study

Supervisor: van Sint Annaland, M. (Supervisor 1), Zondervan, E. (Supervisor 2), Roghair, I. (Supervisor 2) & Marquez Ruiz, D. A. (Supervisor 2)

Control-oriented modeling of an electric bus HVAC system

Supervisor: Donkers, T. (Supervisor 1) & Hol, A. A. (External person) (External coach)

Control refinement for DAE systems: a behavioral approach via simulation relations

Supervisor: Weiland, S. (Supervisor 1)

Control relevant model order reduction with application to H2 optimal control

Supervisor: Weiland, S. (Supervisor 1) & Merks, R. (Supervisor 2)

Control relevant model reduction for disturbance decoupling

Supervisor: Weiland, S. (Supervisor 1) & Merks, R. W. H. (Supervisor 2)

Cruise control with optimal transient engine operation

Supervisor: Steinbuch, M. (Supervisor 1), van Keulen, T. A. C. (Supervisor 2) & Lazar, M. (Supervisor 2)

Damping control of multi-piezo system based on self-sensing

Supervisor: Butler, H. (Supervisor 1) & Jansen, B. (Supervisor 2)

Data-driven modelling and decentralized H2 control of power networks

Supervisor: Steentjes, T. R. V. (Supervisor 1) & Lazar, M. (Supervisor 2)

Data-driven system identification of a thermal lumped element model for a 3D-printer printhead

Supervisor: Weiland, S. (Supervisor 1) & van de Ven, O. (External person) (External coach)

Data-driven Toll Pricing for Optimal Routing Through an Artificial Currency

Supervisor: Schoukens, M. (Supervisor 1) & Salazar Villalon, M. R. U. (Supervisor 2)

Decentralized and distributed model predictive control of vehicle platoons

Supervisor: Van den Hof, P. M. J. (Supervisor 1), Lazar, M. (Supervisor 2) & Hofman, T. (Supervisor 2)

Deep Learning Based Motion Planning for Joint Position-controlled Robotic Manipulators

Supervisor: Tóth, R. (Supervisor 1) & de Jager, T. (External coach)

Design Methods for Sampled-Data Systems: Dissipativity-based controller synthesis with mixed discrete/continuous performance specifications

Supervisor: Donkers, T. (Supervisor 1)

Design of a robust haptic controller for an assistive robotic manipulator

Design optimization of a gas boiler heating unit using reduced order models.

Supervisor: van Oijen, J. A. (Supervisor 1), Weiland, S. (Supervisor 2) & Gupta, H. (Supervisor 2)

Development of A Parameterization Tool for Empirical Li-ion Battery Models

Supervisor: Donkers, M. C. F. (Supervisor 1) & Hoedemakers, E. R. G. (External coach)

Development of a Robust Flexible Manufacturing System for High- Mix/Variable-Volume Production

Supervisor: Weiland, S. (Supervisor 1) & van de Sande, T. (External coach)

Digital Twin for Diagnostics of Wafer Scanners

Supervisor: Van den Hof, P. M. J. (Supervisor 1), Fonken, S. J. M. (Supervisor 2), Khalate, A. A. (External person) (External coach) & Joy, S. (External person) (External coach)

Distributed frequency control of power systems using nearest neighbor rules

Supervisor: Grammatico, S. (Supervisor 1) & Van den Hof, P. M. J. (Supervisor 2)

Distributed hierarchical Model Predictive Control for grid-connected Modular Multilevel Converters

Distributed modeling for automation and optimization of glass furnaces.

Supervisor: Backx, A. C. P. M. (Supervisor 1)

Master's Thesis Program Overview - School of Industrial Engineering - Purdue University

Program Overview

The Master's degree with a thesis option allows students to work with world-renowned faculty to dig deeper in an area of interest. The development of a thesis involves utilizing the knowledge gained in a sub-field of study (e.g., human factors) to a novel engineering problem. In addition, students deepent their competence in surveying cutting-edge research, leading a project independently, design (especially in emerging fields), and communication. 

A thesis is a major undertaking, requiring deep interest in the subject matter and a close relationship with the faculty member supervising the research. Prospective students are encouraged to consider the research profiles of IE faculty, including recent publications, to determine program fit. Pursuing a thesis-option Master's degree is often a step toward pursuing a Doctor of Philosophy degree, and may be required for admission to some doctoral programs. However, the skills gained through completing a thesis-option Master's program still are highly sought after in industry. Students who intend to earn the doctoral degree must pursue this option. 

Prospective Thesis Master's students are encouraged to consult with faculty members with whom their interests align prior to applying for admission.  You can learn about our  research areas and the faculty doing work in them here , and can directly peruse faculty profiles via our  IE Faculty Directory .

Program Highlights 

• Ranking . Consistently ranked in the top #10 by U.S. News & World Report (April 2023).
• Enrollment & Statistics . A total of 9407 students from abroad, representing 127* countries and 1514 international faculty and staff representing 84* nations, claim Purdue University as their home this fall semester.
• Two-year program:  Students complete a combination of advanced technical courses, focusing their studies on areas of interest, culminating in a Master of Science in Industrial Engineering degree.
• Career Catalyzation:  Graduates pursue diverse careers, often on advanced leadership tracks.
• Degree Requirements:  Courses selected for the thesis option are intended to provide in-depth study in a specific area of interest. Prerequisites ensure a minimum level of knowledge in the general field of industrial engineering. The curriculum allows for significant student choice in coursework, which should be made in consultation with the faculty member supervising the research project to ensure alignment with the research topic.
• Human Factors Engineering
• Manufacturing Systems Engineering
• Operational Research (Mathematical Programming; Simulation & Stochastic Processes)
• Production Systems Engineering
• Thesis/Defense:  Development of a thesis document meeting all requirements of the faculty and Graduate School, followed by a successful oral defense of the thesis before a committee of faculty members.

Why Industrial Engineering?

Increased Employment Opportunities:  A master's thesis degree is traditionally for students planning to continue in research or academia. However, this research-focused program also equips students with technical skills highly sought after in industry, such as decision making, systems engineering, operations, and oral and written communications.

Increased Earning Potential:  Purdue Industrial Engineering Master's graduates report earning 15% or more than their peers with a Bachelor's degree.

Field Defining Innovation & Research:  The School of Industrial Engineering has been shaping the field and educating future leaders in industrial engineering for 65 years. The graduate program is ranked in the top 10, and the IE online degree program is ranked #1 in the nation. Our researchers conduct field-defining research that is recognized worldwide for its impact and quality.

Excellence at Scale:  As one of the top 10 engineering graduate programs in the nation, Purdue's College of Engineering is one of the largest and strongest programs in the nation with 13 different schools and departments.

Affordable Tuition:  Our program's tuition is significantly cost-effective compared to other programs.

Low Cost of Living:  The cost of living in the Greater Lafayette-West Lafayette area is among the lowest in the nation, with housing rent ranging from 23% to 179% less expensive than competing university cities (numbeo.com).

Funding Resources: There are several funding options for Purdue graduate students to explore, including  assistantships ,  fellowships ,  grants ,  loans and other financial aid . Financial support for graduate students at Purdue is primarily awarded in the form of assistantships and fellowships. Over 60 percent of graduate students at the University are on assistantships. Furthermore, the Fellowship Office hosts many  resources  for students applying for fellowships.

Most funding decisions for assistantships are made by each individual graduate program. 

Degree Requirements 

Minimum 30 Total Credit Hours

• 21 credit hours of coursework
• At least 12 credit hours must come from IE-listed courses
• A maximum of 9 credit hours of master's thesis research credits (IE 69800)
• Advisory committee
• Development of a thesis document meeting all requirements of the faculty and Graduate School
• Successful defense of the thesis through an oral examination to a committee of faculty members

Graduate Program Student Guide : New, Returning & Online Student Resources, Plan of Study & Course Requirements for Master's Thesis , Final Examination Guidelines for Master's Thesis , Completion Guidelines for Master's Thesis , Academic Calendars, and more

Tuition & Fees

See  Graduate Tuition and Fees  for access to detailed information regarding Purdue tuition, rates and fees for graduate students, including summer, fall/spring and winter rate information as well as other case-specific fees that may not be included with the seasonal fee information.

Application Requirements

Prospective Student Events

Contact 

IE Graduate Office: [email protected]

Heather Bagshaw

Sr. Graduate Program Administrator

+1 765 494-0680

[email protected]

It's easy to start your application.

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Master's & Certificate Programs

Master of Control Engineering

Solve real-world problems with a master's in control engineering.

The Master of Control Engineering (MSC) is a terminal professional degree led by our expert faculty and prepares our students for work in the industry. Through this program our department blends research with practical application to learn how technology impacts medicine, business, and social behavior and more.

The Department of Electrical & Systems Engineering looks for students who have a solid undergraduate background in electrical engineering and a desire to progress further into the field.  To support research efforts, the department provides master’s students with state-of-the-art research equipment and the considerable resources offered by a great university.

Students who earn their MSC gain a competitive edge over their peers, working in fields such as system design and specification; university teaching and research; sales; cost analysis; management; component design, research, and development; and consulting, production, and quality control.

Suggested Academic Requirements for Prospective Students

It is recommended that incoming students earn a baccalaureate degree in engineering or another STEM-related degree. In earning that degree, it is recommended that students take the following upper-level courses:

• Calculus Sequence and Differential Equations
• Probability and Statistics
• Engineering Mathematics
• Matrix Algebra
• Introductory Computer Science
• Signals and Systems
• Circuits/ Electrical Networks

The following courses are also important in the curriculum but are emphasized to a different extent in each of the key areas within the program. Students lacking this content may find it helpful to add it after admission.

• Introduction to Electronic Circuits
• Introduction to Digital Logic and Computer Design
• Electromagnetics

Degree Requirements for Current Students

Refer to the University Bulletin for specific information.

The MCEng degree requires 30 units, which may include optionally 6 units for thesis or 3 units for independent study.

Electives 

The following courses are approved by the department as electives.

Any course numbered 401 or greater in Engineering, Physics, or Mathematics with the following exceptions listed below.

The following courses ARE NOT approved by the ESE department as electives.

Any General Engineering Course

• CSE501N , CSE 504N , CSE 505N

Undergraduate Lab Courses

EECE 405 , EECE 421, EECE424 , EECE 425

ESE435 , ESE 449 , ESE 465 ,

Any Undergraduate Research, Independent Study, Senior Design, or Capstone Course

• ESE 400 , ESE 497 , ESE 498 , ESE 499

* Requests for exceptions to this policy may be submitted to the graduate program coordinator with the approval of the academic advisor of the student.

• Master's Thesis
• Master's Final Examinations
• Master's Program Policies
• Master's Student Handbook
• Tuition & Financial Assistance for Graduate Students

E60-505 - Communication tools for Academic and Professional Success

McKelvey School of Engineering requires all incoming international students who submit a TOEFL or IETLS score or has not obtained a minimum of 3 years of education in the U.S. to take a course in communication. This new course was first offered in Fall of 2018. This course does not cost extra for full-time students and is not counted toward the degree or the GPA.

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Masters' Theses

For students who remain within the planned timeline of the civil engineering, transportation systems or environmental engineering master program, the master's thesis will be completed in the 4th term.

Under the following link, students of the TU Munich can inform themselves about the expectations for final theses at the Chair of Traffic Engineering. In addition, you will find the templates and information necessary for working on the thesis: Link (Login to the TUM Wiki is via the TUM ID).

Available Master's Thesis Topics!

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Digital Commons @ USF > College of Engineering > Electrical Engineering > Theses and Dissertations

Electrical Engineering Theses and Dissertations

Theses/dissertations from 2023 2023.

On the Performance Enhancement of Beamspace MIMO and Non-orthogonal Multiple Access for Future Cellular Networks , Sinasi Cetinkaya

Enhancing Smart Grid Security and Reliability through Graph Signal Processing and Energy Data Analytics , Md Abul Hasnat

Fabric-Based Organic Electrochemical Transistor Towards Wearable pH Sensing Electronics , Nestor Osvaldo Marquez Rios

Novel Systems Engineering Framework Analysis of Photovoltaic Models and Equations , Peter R. Michael

Deep Learning Enhancement and Privacy-Preserving Deep Learning: A Data-Centric Approach , Hung S. Nguyen

Cyber-Physical Multi-Robot Systems in a Smart Factory: A Networked AI Agents Approach , Zixiang Nie

Multiple Access Techniques Enabling Diverse Wireless Services , Mehmet Mert Şahin

Deep Reinforcement Learning Based Optimization Techniques for Energy and Socioeconomic Systems , Salman Sadiq Shuvo

Process Automation and Robotics Engineering for Industrial Processing Systems , Drake Stimpson

Theses/Dissertations from 2022 2022

Stability and Interaction Analysis of Inverter-Based Resources in Power Grids , Li Bao

Healthcare IoT System and Network Design , Halil Ibrahim Deniz

Video Anomaly Detection: Practical Challenges for Learning Algorithms , Keval Doshi

Data-Driven State Estimation for Improved Wide Area Situational Awareness in Smart Grids , Md Jakir Hossain

Deep Learning and Feature Engineering for Human Activity Recognition: Exploiting Novel Rich Learning Representations and Sub-transfer Learning to Boost Practical Performance , Ria Kanjilal

Assistive Technologies for Independent Navigation for People with Blindness , Howard Kaplan

Diagnosis of Neurodegenerative Diseases Using Higher Order Statistical Analysis of Electroencephalography Signals , Seyed Alireza Khoshnevis

Accelerating Multiparametric MRI for Adaptive Radiotherapy , Shraddha Pandey

A Model-Based Fault Diagnosis in Dynamic Systems via Asynchronous Motors System Identification or Testing, and Control Engineering Observers , Kenelt Pierre

Improving Wireless Networking from the Learning and Security Perspectives , Zhe Qu

Improving Robustness of Deep Learning Models and Privacy-Preserving Image Denoising , Hadi Zanddizari

Theses/Dissertations from 2021 2021

A Method for Compact Representation of Heterogenous and Multivariate Time Series for Robust Classification and Visualization , Alla Abdella

Dynamical System and Parameter Identification for Power Systems , Abdullah Abdulrahman Alassaf

Phasor Domain Modeling of Type-III Wind Turbines , Mohammed Alqahtani

An Automated Framework for Connected Speech Evaluation of Neurodegenerative Disease: A Case Study in Parkinson's Disease , Sai Bharadwaj Appakaya

Investigation of CoO ATO for Solar Cells and Infrared Sheaths , Manopriya Devisetty Subramanyam

Thermal Management of Lithium-ion Batteries Using Supercapacitors , Sanskruta Dhotre

Effect of Se Composition in CdSe 1-X T eX /CdTe Solar Cells , Sheikh Tawsif Elahi

Microencapsulation of Thermochromic Materials for Thermal Storage and Energy Efficiency of Buildings , Abdullatif Hakami

Piezoelectrically-Transduced ZnO-on-Diamond Resonators with Enhanced Signal-to-Noise Ratio and Power-handling Capability for Sensing and Wireless Communication Applications , Xu Han

Preparation and Characterization of Single Layer Conducting Polymer Electrochromic and Touchchromic Devices , Sharan Kumar Indrakar

Security Attacks and Defenses in Cyber Systems: From an AI Perspective , Zhengping Luo

Power System Optimization Methods: Convex Relaxation and Benders Decomposition , Minyue Ma

Metal Oxide Sensor Array Test Bed Prototype for Diagnostic Breath Analysis , Tiffany C. Miller

Packaging of Active RF Beamforming IC Utilizing Additive Manufacturing , Ryan Murphy

Adaptive Network Slicing in Fog RAN for IoT with Heterogeneous Latency and Computing Requirements: A Deep Reinforcement Learning Approach , Almuthanna Nassar

Development of a Bipolar Radiofrequency Ablation Device for Renal Denervation , Noel Perez

Copper Electrodeposition Assisted by Hydrogen Evolution for Wearable Electronics: Interconnections and Fiber Metallization , Sabrina M. Rosa Ortiz

Theory and Application of Dielectric Rod Antennas and Arrays , Gabriel Saffold

Advanced Organic Polymers for the Nanoscale Fabrication of Fiber-based Electronics Using the Electrospinning Technique , William Serrano Garcia

Transparent Planar Micro-Electrode Array for In-Vitro Electric Field Mediated Gene Delivery , Raj Himatlal Shah

High Speed Switching for Plasma Based Electroporation , Shivangi Sharma

Development of Small-Scale Power Supplies for Wearable Medical Diagnostic Devices , Donny Stiner

Novel Approach to Integrate CAN Based Vehicle Sensors with GPS Using Adaptive Filters to Improve Localization Precision in Connected Vehicles from a Systems Engineering Perspective , Abhijit Vasili

Modeling, Control and Analysis of Inverter-Based Generators in the Power Grids , Yangkun Xu

Fiber-Based Supercapacitor for Wearable Electronics , Rohit Lallansingh Yadav

Modeling, Identification, and Stability Analysis of Inverter-Based Resources Integrated Systems , Miao Zhang

Data-Oriented Approaches towards Mobile, Network and Secure Systems , Shangqing Zhao

Strategies in Botnet Detection and Privacy Preserving Machine Learning , Di Zhuang

Theses/Dissertations from 2020 2020

Architecture design and optimization of Edge-enabled Smart Grids , Adetola B. Adeniran

Multimodal Data Fusion and Attack Detection in Recommender Systems , Mehmet Aktukmak

Artificial Intelligence Towards the Wireless Channel Modeling Communications in 5G , Saud Mobark Aldossari

Enhancement of 5G Network Performance Using Non-Orthogonal Multiple Access (NOMA) , Faeik Tayseer Al Rabee

Investigation of Machine Learning Algorithms for Intrusion Detection System in Cybersecurity , Mohmmed Alrowaily

Comprehensive Optimization Models for Voltage Regulation in PV-rich Multi-phase Distribution Systems , Ibrahim Alsaleh

Design and Implementation of Solid/Solid Phononic Crystal Structures in Lateral Extensional Thin-film Piezoelectric on Silicon Micromechanical Resonators , Abdulrahman Alsolami

Analysis of Computational Modeling Methods as Applied to Single-Crystal Organohalide Perovskites , Jon M. Bebeau

Development of a Monolithic Implantable Neural Interface from Cubic Silicon Carbide and Evaluation of Its MRI Compatibility , Mohammad Beygi

Performance Enhancement Techniques for Next-Generation Multi-Service Communication and Medical Cyber-Physical Systems , Ali Fatih Demir

Microfluidically Reconfigurable Millimeter-Wave Switches, Antenna Arrays and Filters with Fast-Actuation Using Movable Metallized Plates and Integrated Actuation , Enrique J. Gonzalez Carvajal

Multilayered Transmission Lines, Antennas and Phased Arrays with Structurally Integrated Control Electronics Using Additive Manufacturing , Merve Kacar

Cost Efficient Algorithms and Methods for Spectral Efficiency in Future Radio Access , Murat Karabacak

Design of DeLRo Autonomous Delivery Robot and AI Based Localization , Tolga Karakurt

Theory, Fabrication, and Characterization of Perovskite Phototransistor , Fatemeh Khorramshahi

Modeling and Control of Renewable Energy in Grids and Microgrids , Yin Li

Next-Generation Self-Organizing Communications Networks: Synergistic Application of Machine Learning and User-Centric Technologies , Chetana V. Murudkar

Reliability Analysis of Power Grids and its Interdependent Infrastructures: An Interaction Graph-based Approach , Upama Nakarmi

Algorithms Enabling Communications in the Presence of Adjacent Channel Interference , Berker Peköz

Electrospun Nanofibrous Membrane Based Glucose Sensor with Integration of Potentiostat Circuit , Kavyashree Puttananjegowda

Service Provisioning and Security Design in Software Defined Networks , Mohamed Rahouti

Reading and Programming Spintronic Devices for Biomimetic Applications and Fault-tolerant Memory Design , Kawsher Ahmed Roxy

Implementation of SR Flip-Flop Based PUF on FPGA for Hardware Security , Sai Praneeth Sagi

Trauma Detection Personal Locator Beacon System , Sakshi Sharma

Network Function Virtualization In Fog Networks , Nazli Siasi

Socially Aware Network User Mobility Analysis and Novel Approaches on Aerial Mobile Wireless Network Deployment , Ismail Uluturk

Spatial Stereo Sound Source Localization Optimization and CNN Based Source Feature Recognition , Cong Xu

Hybrid RF Acoustic Resonators and Arrays with Integrated Capacitive and Piezoelectric Transducers , Adnan Zaman

Theses/Dissertations from 2019 2019

Fabrication and Characterization of Electrical Energy Storage and Harvesting Energy Devices Using Gel Electrolytes , Belqasem Aljafari

Phasor Measurement Unit Data-Based Steady State and Dynamic Model Estimation , Anas Almunif

Cross Layer-based Intrusion Detection System Using Machine Learning for MANETs , Amar Amouri

Power Conditioning System on a Micro-Grid System , Tamoghna Banerjee

Thermal Response in a Field Oriented Controlled Three-phase Induction Motor , Niyem Mawenbe Bawana

Design and Development of a Wireless EEG System Integrated into a Football Helmet , Akshay V. Dunakhe

Machine Learning, Game Theory Algorithms, and Medium Access Protocols for 5G and Internet-of-Thing (IoT) Networks , Mohamed Elkourdi

Improving Stability by Enhancing Critical Fault Clearing Time , Ammara M. Ghani

RF Power Circuit Designs for Wi-Fi Applications , Krishna Manasa Gollapudi

Enhancing Secrecy and Capacity of Wireless Systems Using Directive Communications , Mohammed A. Hafez

Statistical Anomaly Detection and Mitigation of Cyber Attacks for Intelligent Transportation Systems , Ammar Haydari

Absorber and Window Study – CdSexTe1-x/CdTe Thin Film Solar Cells , Chih-An Hsu

Methods and Algorithms to Enhance the Security, Increase the Throughput, and Decrease the Synchronization Delay in 5G Networks , Asim Mazin

Piezoelectric ZnO Nanowires as a Tunable Interface Material for Opto-Electronic Applications , Anand Kumar Santhanakrishna

Security Framework for the Internet of Things Leveraging Network Telescopes and Machine Learning , Farooq Israr Ahmed Shaikh

Diversity and Network Coded 5G Wireless Network Infrastructure for Ultra-Reliable Communications , Nabeel Ibrahim Sulieman

The Design of Passive Networks with Full-Wave Component Models , Eric Valentino

CubeSat Constellation Design for Intersatellite Linking , Michael T. White

Theses/Dissertations from 2018 2018

Design of Micro-Scale Energy Harvesting Systems for Low Power Applications Using Enhanced Power Management System , Majdi M. Ababneh

A Study on the Adaptability of Immune System Principles to Wireless Sensor Network and IoT Security , Vishwa Alaparthy

Validation of Results of Smart Grid Protection through Self-Healing , Felipe Framil Assumpção

A Novel Framework to Determine Physiological Signals From Blood Flow Dynamics , Prashanth Chetlur Adithya

The Effect of Processing Conditions on the Energetic Diagram of CdTe Thin Films Studied by Photoluminescence , Shamara P. Collins

Physical Electronic Properties of Self-Assembled 2D and 3D Surface Mounted Metal-Organic Frameworks , Radwan Elzein

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Shyam Agarwal Receives 2024 M.S. Ghausi Medal

• by Molly Medin
• May 20, 2024

The University of California, Davis, College of Engineering has announced Shyam Agarwal, who will graduate one year early with a Bachelor of Science degree in computer science in June, as the recipient of the 2024 M.S. Ghausi Medal. The award is the college's highest honor given to one outstanding graduating senior. 

The award is named after the College of Engineering's third dean, Mohammed S. Ghausi. During his term as dean, Ghausi championed the expansion of the Mathematics, Engineering and Science Achievement, or MESA , Schools Program, designed to serve educationally disadvantaged and minority students. In 1991, he created the Women in Engineering program, the first of its kind in the UC system. 

"Getting the medal is definitely a validation for me," Agarwal said. "I honestly feel very humbled and blessed to be given the medal. Ghausi has done so much for [the College of Engineering] and for the computer science program, so I am very grateful both for his work and to be compared to someone like him."

At UC Davis, Agarwal has exemplified Ghausi's legacy of leadership and service to others through his dedication to connecting his peers with computer science in his concurrent roles as president of the Google Developers Student Club , vice president of operations of CodeLab and vice president of SacHacks . 

"I am glad that my and my team's efforts are able to create an impact in the lives of others," he said. "Every living species in this world, including animals, work for themselves. What makes us different is our ability to work for the betterment of others. There is no better feeling than to be the reason for someone else's smile and happiness." 

A firm believer in education, Agarwal used to teach elementary English, Hindi and math to underprivileged youths in Lucknow, India as part of the initiative Each One, Teach At Least One. During the fall of 2023, Agarwal founded and instructed an upper-division undergraduate course on algorithms that covered technical interview preparation, competitive programming, and both randomized and approximation algorithms. 

On campus, Agarwal is a University Honors Program student and is working with Ali Moghimi , an assistant professor of teaching in the Department of Biological and Agricultural Engineering, on finishing his honors thesis on automated feedback generation. For this project, Agarwal is developing AI technology to automatically give students feedback on short answer questions, significantly conserving time, resources and computing power, and giving students a better learning experience. 

He has also worked extensively with Seth Frey, an associate professor of communication, on research into the role of numeracy-enhanced architectures in social inference. In other words, Agarwal is investigating how and why AI is or isn't able to understand or detect certain numerical data, like when someone says, sarcastically, that they have two dollars and that's "a lot" versus when someone says, genuinely, they have $2 million and that's a lot. 

Additionally, Agarwal's work on improving accessibility in communication via automated speech recognition systems, titled "'Allot?' is 'A Lot!' Towards Developing More Generalized Speech Recognition System for Accessible Communication," was recently published at the 38th Association of the Advancement of Artificial Intelligence Conference on AI. 

Although fielding job offers, Agarwal has decided to stay the course of research and entrepreneurship. Upon graduation, Agarwal will work at an AI startup as an engineer in the founding team and will continue at UC Davis as a visiting researcher. 

He also plans to pursue graduate school in the future and continue to serve his community through teaching and research. 

"I wanted to get into research because it is the creation of knowledge. I find value in the fact that I am finding things and creating knowledge that did not exist before me, and I can use that knowledge to serve the people and the community around me. It's in line with my parents' teachings and the idea of Vasudhaiva Kutumbakam: the Earth is but one family."

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