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Electrical Engineering Theses and Dissertations

Theses/dissertations from 2024 2024.

Effects of Unobservable Bus States on Detection and Localization of False Data Injection Attacks in Smart Grids , Moheb Abdelmalak

Modeling the Human Learning Process Using an Industrial Steam Boiler Analogy to Design a Psychophysiological-Based Hypermedia Adaptive Automation System , Liliana María Villavicencio López

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

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Adharsh Charvak

Raghda Hafez

Francis Francis

Karjongko Mekaring Jangka

Journal ijmr.net.in(UGC Approved)

Now the " Make in India " campaign is the most lightening subject. It aimed at making India a world attractive manufacturing hub. It aims to pull out investors from different countries and make them to manufacture in India. The vision behind this campaign is to put the country on the global manufacturing map. It also desires to facilitate the inflow of new technology and capital, while creating millions of jobs. Make in India is an ambitious project, but there is a need to bring some changes in existing policies to make the India the powerhouse of manufacturing sector in the world. Make in India is a good opportunity for all Indians. It will generate crores of direct and indirect job opportunities. On this back ground, the researcher feels, it is necessary to study and understand the different opportunities and challenges in achieving the objectives of this campaign. The data used in this paper is secondary in nature. Through the statistical data and gap between demand and supply, we can understand the opportunities for the manufacturing sector in India. If this campaign got success, India can overcome the problems of unemployment, brain drain and it could get success in using local talent for the development of local economy, creating Brand India etc. So the objectives for the study are: to understand the benefits of the campaign, to study the opportunities and challenges before 'Make in India Campaign, to study about the start up of Make in India campaign and to study about the urgent steps to be taken to support the campaign. The Government needs to invest in research and development and encourage innovation. There is an urgent need to develop different business models for sustainable development. To increase investor sentiment, there is need to improve the ease of business, improve the employability of management and engineering students, infrastructural development, capacity addition in the power sector to satisfy energy need of industries. The present paper contains different models of interaction between academia and industries for the skill development among the human resources.

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Modeling and Optimization co2 corrosion penetration rate crude oil transportation process by pipeline

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Thesis's Persentation

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List of M.Tech theses guided

Master's theses supervised in ieor.

• K. Geetha Bhargavi: Direct Despatch Opportunity Prediction and Order Fulfilment Models (2023)
• Himanshu Damani: Warehouse Operations Analysis (2023)
• Palkesh Bhidodiya: Congestion Metrics & Routing Techniques for Rail Freight Networks, (2023)
• Akshat Bansal: Crew Scheduling for Long-distance Passenger Railway Transportation (2022)
• Utkarsh V. Konge: Supply Chain Archetype Framework & Container Train Scheduling for Multi-terminal Port (2022)
• Abhijith P.Y. [with Santosh Noronha]: Deep Learning in Chemometrics (2022)
• Amit B. Gadekar: Hierarchical Forecasting Models (2022)
• Taposh Kumar Kapuria: [with Youssef Boulaksil] (2021)
• A. Tarun Raj: Demand Forecasting and Inventory Management of Automobile Spare Parts (2020)
• P. Sandeep Kumar: [as co-guide with S.SenGupta], Scheduling Freight Trains on a Mixed-Traffic Network to Minimise Energy Consumption (2020)
• Mohammad Mufassir Khan: [as co-guide with P.Balamurugan], Predictive Analytics in Healthcare Data (2020)
• P. Mallikarjuna Reddy: [as co-guide with Jayendran Venkateswaran], Demand Forecasting in tractor manufacturing industry (2020)
• Ratnesh Srivastava: [as co-guide with Jayendran Venkateswaran], Industrial Engineering application in Production unit (2020)
• Gaurav Amrutkar: [as co-guide with S.SenGupta]: Handling Categorical Features of High Cardinality in Tree/Rule-based Classification (2019)
• Saurav Adhikari: [as co-guide with S.SenGupta]: Dynamic Pricing Strategies in Indian Domestic Airlines (2019)
• Sourav Mondal: [as co-guide with S.SenGupta]: Runtime Estimation for Railway Timetabling (2019)
• Aayush Aggarwal: Robustness in Railway Timetables (2018)
• Anuj Sahu: Maintenance and Capacity Analysis of Railway Networks (2018)
• Anand Singh: (2018)
• Vipin Maurya: Analysing Railway Networks by Simulation and Parametric Modeling to Improve Freight Operations (2018)
• Harshit Gupta: Process Design and Improvements in a SME [with J. Venkateswaran] (2018)
• R. Vidyadhar: Simulation and critical Analysis of Railway Networks (2017)
• Vinay Rai: Data Analysis of Parameters Related to Kidney Transplant Procedures (2017)
• Rakesh Kumar Sharma: Managing Freight Traffic on Rail Networks : Analysis of Terminal Operations (2016)
• Abhijeet Kalpande: Failure Diagnostics and Predictive Analytics in Automotive Systems (2016)
• G. Sai Muni Teja: Fleet management in rail transport: Coal rakes in Indian Railways (2015)
• Naveed Farhan, Selection of Representative Configurations in Highly Customized Automobiles by Large Scale Optimization (2015)
• Shilpi Bhargava, Passenger Demand Forecasting and Dynamic Pricing to support Premium Trains on Indian Railways (2015)
• Vishal Rewari: Fleet management in rail transport: Petroleum rakes in Indian Railways (2014)
• Joydeep Ghosh: Co-integration in Time Series Analysis [with A. Subramanyam] (2014)
• Ruchir Santuka: Improved Formulations for Cutting Stock Problem with Set-up Cost [with Ashutosh Mahajan] (2014)
• Anoop Chatterjee, Priority based Task-level Scheduling in Multi-project, Multi-resource environments (2013)
• Keshav Kumar Singh: Modeling and Design of algorithms for rail operations and Capacity Planning (2013)
• Rohan Rao: Part Demand Prediction in Mass Customization Environment (2013)
• Rajesh Sharma: Pricing of assets in rail operations and third party logistics services (2013)
• Anoop Chaterjee: Priority based Task-level Scheduling in Multi-project, Multi-resource environments (2013)
• Priya Agrawal: Facility Design and Operational Strategies for Railway Networks (2012)
• Anand Rajak: Modelling and Computations in Multi Echelon Supply Chain network Design of FMCG Industry (2012)
• Sunil Kumar: Transfer pricing and transportation cost allocation in a global steel supply chain (2011)
• Pratik Fadadu: Network level Investments to Improve Rail Capacity (2011)
• Dileep Damayyawar: Inventory Planning and Management of Cold Storage Facility for Grapes (2011)
• Meghraj Nalge : Adaptive Traffic Control Methods with Downstream Detection System (2010)
• Rajat Choudhary : Vehicle Routing Problem : Application to Routing of Vehicles for Distributing Meals under Mid Day Meal Scheme (2010)
• Abhishek Singh Verma: Production Planning and scheduling in Automotive Paint Shops (2009)
• Tilak Raj Singh: Airline Crew Planning and Management (2008)
• Piyush Verma: Timetabling and Operations Planning in Railway Networks (2008)
• Manish Kumar Singh: Optimal Booking Strategies for a Shipper Dealing with a Monopolistics Logistics Carrier (2008)
• Amey Kamat : Optimization problems in sensor network design [with Mani Bhushan ] (2007)
• Deepika Taneja : Pricing for third party logistics service providers (2007)
• Sharad Kumar Shrivastava : scheduling problems using constraint satisfaction programming [with S.B. Patkar ] (2007)
• Vineet Kapoor : Demand sensing and its application in revenue management (2007)
• Braja Gopal Das : Applications of revenue management (2006)
• Chetan Desai : Supply chain strategies and inaccuracy modeling in RFID-enabled system  (2006)
• Nishant Patil : Winner determination in combinatorial auctions (2006)
• Rakesh Ambre : An event based simulation model for railway train scheduling (2006)
• Mitesh Gupta: Cost and Revenue based approach to new product introduction and product rationalisation (2005)
• Seema Ramteke : Preparation of train timetables (2005)
• Shivaji Dhekane : Management of perishable inventories with RFID technology (2005)
• P.Subramaniam : Vehicle Routing problems (2004)
• Ravindra Gokhale : Simulation studies on railway line capacity [with N.Hemachandra ] (2004)
• Vaishali Moharir : Optimal pricing and operating policies for competing modes of transport [with N.Hemachandra ] (2004)
• Mitali Johri : Railway Scheduling and capacity planning - A Simulation based approach (2003)
• Sudhir K. Sinha : Analysis of operating costs and pricing models on transport networks [with Milind Sohoni ] (2003)
• B.Raghuram : Rakelinking for suburban train services using constraint satisfaction [with M.Sohoni ] (2001)
• K.Chandrashekar : Policies for new product introduction and old product withdrawal [with N.Hemachandra ] (2001)
• Maj. S.Bahel : Maintenance management information system in army repair establishment (2000)
• Nitish Dave: A Decision support system for announcing sales promotion schemes in perishable supply chains using Markov decision processes [with N.Hemachandra ] (2000)
• Rahul J. Patil : Materials management practices in growing small scale industries: a supply chain management perspective [with Rahul Pandey ] (2000)
• Shrinivas Asanare : Suburban railway timetabling using CHIP (2000)
• Ashok Kumar: Scheduling of trains on railway sections [with P.G.Awate ] (1999)
• Chetan Ghatole : Spatial allocation of resources using geographical information system [with Rangan Banerjee ] (1999)
• Hemant Trivedi : Time tabling of rail services (1999)
• Shashi Bhusan Mani Tripathi : Application of BPR in supply chains - A case study [with A.S.Babu ] (1999)
• S.S.Nagaonkar : Modelling handovers and simulation based performance evaluation [with N.Hemachandra and A. Wolisz ] (1999)
• Maj. O.P.Yadav : Productivity measurement and improvement in army base workshops (1998)
• Alok Kumar: Systems for planning for material availability and control of production flows (JIT) [with P.G.Awate ] (1997)
• Chetan Soman : Supply chain management (1997)
• Mahesh Shenoy : Timetabling for suburban railways (1997)
• T.Ravi Kumar: Development of PDMS module in RDBMS framework [with A.S.Babu ] (1997)
• Vinayak Paranjape : Policies for closed loop control of loading items at a bottleneck facility in a refrigerator manufacturing plant [with P.G.Awate ] (1997)
• Erwin Paes : Robust techniques for combinatorial problems (1996)
• N.Patwardhan : Analysis of human aspects of TQM implementation (1996)
• Ashok Agarwal : Application of OR models in mail operations (1995)
• R.Agre : Multistage batch sizing with joint set up costs with application to steel industry [with P.G.Awate ] (1995)
• B.C.S.Krishnamohan : Capacity estimation and enhancement of transportation networks (1994)
• S.Venkatraman : Development of educational test package for single facility capacitated dynamic lot sizing [with P.G.Awate ] (1994)
• J.R.Suresh : Crew scheduling in urban bus transport (1993)
• George Paes : Multilevel programming - algorithms and applications (1992)

Master's theses supervised in Mechanical Engineering

• Lokesh Borkar: Generation and Analysis of Transportation Networks for Identification of Critical Links [with A.Tewari] (2018)
• Deepak Miglani: Simulation and Analysis of Mixed Traffic in Railway Junctions (2017)
• Ajinkya Deshpande: Planning for multi-modal transport operations in urban areas (2017)
• Ayush Agrawal: Optimization and Simulation of Railway Networks (2016)
• Abhirath Sharma: Managing empty rake operations in Western Railway Zone (2016)
• Krishna Agrawal: An analysis of train running data in suburban train operations (2016)
• Hussain Bharmal: Design and Operations of Indian Railways (2015)
• Mohit Uppal: Network Analysis of Semiconductor Global Production Network (2015)
• Shashank Dangayach: Technical Analysis of Suburban Railway Network (2014)
• Vipul Depal: Analysis of Safety in the Mumbai Rail System (2011)
• Tarun Mohan Mathur: Modeling Urban Taxi Networks (2010)
• Pulkit Jain: Capacity Analysis in Transport sectors (2009)
• Yogesh Jain: Forecasting Models for Travel demand (2009)
• Manik Bahadur: Optimization in Airline Operations and Planning (2008)
• Shailesh Lekhwani: Pricing and Revenue Management in Transport Sector and Logistics (2008)
• Akshay Saxena : Combinatorial optimization by probabilistic methods [with N.Hemachandra] (2007)
• Gaurav Singla : Bilevel Programming in Supply chain management (2007)
• Rasik N. Patel: Framework for 3D shape optimization and manufacturing of polished diamonds [with Milind Sohoni ] (2006)
• Kartik Raghupati : Procurement problems and combinatorial auctions [with N.Hemachandra ] (2005)
• Adesh Nath Rawal : Supply chain management for the textile sector (2004)
• B.N.Vishnu : A simulation model for operations management and capacity evaluation at railway stations (2003)
• Kamalesh K. Somani : Supply chain optimization: Agri supply chains, and Ant colony optimization models for VRP (2003)
• S.Rajagopal : Strategies for co- ordinating buyer-supplier interactions in electronic marketplaces, [with N.Hemachandra ] (2001)
• Prasad S. Phatak : Crew scheduling for bus transport, an implementation using column generation (1997)
• Rudra Kumar: Warehouse location problems (1997)
• K.Girish : Analysis of planned relayout for a motors plant (1996)
• Niraj Gupta: Multi-product integrated production-distribution system (1996)
• A.S.Bajwa : Cost effective and strategic relocation and design of main stores for switch board factory for Siemens Ltd, Kalwa (1995)

Master's theses guided in Electrical Engineering

• R.V.Satwik [with Madhu Belur]: Reinforcement Learning to Improve Railway Timetabling (2022)
• Darshit Jain [with Madhu Belur]: Suburban timetabling: modulo-simplex methods and optimization (2019)
• Vipin Shukla [with Madhu Belur] Railway junction simulator development (2019)
• Anurag Agrawal: Aperiodic Railway Timetable Optimization on a suburban rail network - Case study on Mumbai Harbour line [with Madhu Belur] (2018)

Master's theses guided in Computer Science and Engineering

• Peeyush Gupta: Signal Spacing and Capacity Improvement for Railways  [with Abhiram Ranade] (2013)
• Devendra Shelar: SketchRail, A Railway Network Configuration Editor [with Abhiram Ranade] (2012)
• S.Chandran : Suburban railway timetabling [with M.Sohoni ] (2003)
• Kedar S. Nadkarni : Competitive traffic modeling [with M.Sohoni ] (2002)

Master's thesis guided in Aerospace Engineering

• Tannishtha Sanyal: Optimization Studies related to Airline Maintenance Scheduling [with R.K.Pant] (2009)
• Ameya Behere: Air and High Speed Rail Transport: Competition and Integration [with R.P.Shimpi] (2016)

Master's theses guided in Mathematics

• Julie Shah: Optimal strategies for scheduling in a railway section (1997)
• Priya Mahadevan : Operationally feasible scheduling of trains on a rail network (1997)

Master of Management

Thesis Reference Guide: The Thesis

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• Writing ECE Theses and Dissertations

Preparation of a thesis plays an important role in the development of a student into a scholar who can conduct independent research. Students gain the necessary basic knowledge by taking courses, and they demonstrate their capability for original thought and competence in research by conducting a research program on a topic selected in consultation with their thesis advisers. The thesis records the results of such a successful research program.

While conducting research on the chosen topic and also while writing their theses, students should consult frequently with their thesis advisers. Learning how to write technical papers (including theses) is an important part of the research training of the student. Thus, during the course of the research, the thesis adviser may require the student to write one or more papers to report the research work. In fact, since one measure of success in a research program is the publication of the results in a reputable technical journal with rigorous review procedures, the Department expects that the results in a Ph.D. thesis will be published in one or more journal articles. The Department hopes that most M.S. theses also describe research that can be published in a journal article, but recognizes that M.S. theses are less extensive in scope than Ph.D. theses. In any case, M.S. theses are expected to be of sufficient quality to be published as conference papers.

Note that the copyright for thesis material that has been published in a journal or conference proceedings likely no longer belongs to the author. While publishing agreements may vary, typically they transfer the copyright from the author to the publisher. Therefore, permission should be secured from the publisher in order to include previously published material in the thesis. (IEEE does not require authors working on a thesis to request formal permission, but other publishers may have less generous policies.) The same applies to previously published material by other authors: figures, tables, and excerpts incorporated into the thesis from other works require permission from the copyright holder. The Graduate College Thesis Office (http://www.grad.illinois.edu/thesis-dissertation) provides links to further resources.

The text of the thesis should be organized into chapters. The first chapter should introduce the problem studied and describe the main results obtained in the thesis. In order to provide guidance to the reader, the first chapter should briefly describe the organization of the rest of the thesis. The first chapter can also give the background of previous work on the subject and the method used in attacking the problem. Succeeding chapters provide details of the new results obtained by the candidate including, where appropriate, proofs, numerical data, simulation results, and experimental data. In order to properly state the results and to place them in perspective, it may be necessary to include one or more chapters that give further details on the problem being studied, introduce notation and terminology to be used, survey the relevant literature in detail, etc.

The conclusions drawn from the study are given in the last chapter. The last chapter also can include discussions of the advantages and limitations of the results obtained, comparisons with previous work, possible applications for the results, and suggestions for future work. Matters that are of little conceptual interest but that need to be included for the sake of completeness should be relegated to appendices. Examples of such matters are listings of computer programs used to generate numerical data or simulation results. Also, long and complicated proofs or derivations that unduly disrupt the flow of ideas should be placed in appendices unless the proofs are of independent interest because of the novelty of the techniques used. Most important, all of the above are merely suggestions for the proper organization of the thesis, and the student should consult with the thesis adviser to decide what to include in the thesis, and how to divide the thesis into chapters and appendices.

The Graduate College (http://www.grad.illinois.edu/thesis-dissertation) gives format specifications and details on all the materials to be submitted. Before preparing the thesis, the student should read this material carefully. All the requirements stated on the website must be met in full. Furthermore, the Department has its own guidelines and support available from ECE Editorial Services (https://wiki.illinois.edu/wiki/display/ECEThesisReview) .

All graduate students must apply for graduation (http://www.grad.illinois.edu/step-2-departmental-approval) by the deadline for their intended graduation period (May, August, or December).

Administrative Requirements

The Graduate College publishes thesis deposit deadlines for students who wish to graduate each semester. Deadlines are published in the Graduate College Academic Calendar .

Note that the ECE thesis check must take place well ahead of deposit with the Graduate College (see Format Check, below).

File Title Page with the Thesis Office

Early in the term in which the thesis is to be submitted, the student should file the title page (http://www.grad.illinois.edu/step-2-departmental-approval) with the Graduate College via email.

The signatures of the thesis adviser and the Department Head are required on M.S. theses. If the M.S. thesis adviser is not a member of the ECE Graduate Faculty, an ECE Graduate Faculty member must co-sign the Thesis/Dissertation Approval form prior to submission to Editorial Services . The signatures of the director of research (adviser), all voting committee members who voted to pass the student at the final exam, and the department head  are required for PhD dissertations.

Both the ECE Department and the Graduate College check the thesis to verify that the format requirements are satisfied. The Departmental format checking is performed by ECE Editorial Services (https://wiki.illinois.edu/wiki/display/ECEThesisReview) , Room 2064-66 ECE Building. A minimum of three weeks should typically be allowed for format checking and the corrections and changes usually required to make the thesis conform to Departmental and Graduate College format requirements (find departmental deadlines on the Editorial Services site). When the thesis is in acceptable format, Editorial Services issues the Departmental format approval. After this, the thesis is submitted to the Department Head for approval and signature. Allow up to 48 hours for obtaining Department Head approval.

Each Ph.D. degree candidate must be registered in ECE 599 (even if only for zero hours) at the time of the Final Examination. Registration is not required when the thesis is submitted for approval to the Head of the Department of Electrical and Computer Engineering or when the thesis is deposited in the Graduate College, unless the student has an assistantship or fellowship. The Ph.D. thesis must be deposited with the Graduate College no later than one year after passing the Final Examination.

Students who will hold an assistantship or fellowship during their last semester should plan carefully. Students must work at least 91 days in a semester, or 41 days in a summer session, to receive a tuition waiver under an assistantship or fellowship unless they either withdraw from the University at (or before) the time that their appointment becomes void, or file a clearance form for graduation within one week following the resignation date. Employees on a student visa may not hold an appointment beyond the visa expiration date. Hence, if the employee holds an assistantship or fellowship carrying a tuition waiver and the visa will expire before the 91 days have been completed, the student may be required to pay tuition and fees.

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Master's & Certificate Programs

MS in Electrical Engineering

Learn how you can earn a MS in electrical engineering at the McKelvey School of Engineering.

Go further in your career with a master's in electrical engineering. Graduate with the knowledge, skills and personal network you'll need to succeed. 

The Master of Science in Electrical Engineering (MSEE) is a progressive academic master's degree designed mainly for both full-time and part-time students interested in proceeding to the departmental full-time doctoral program and/or professional practice in an industrial career. Our program provides students with the flexibility to specialize in different aspects of the field of electrical engineering while working closely with faculty members in the department.

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. Many students in the program pursue independent research as a part of their degree by working in a research lab with a faculty member. 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 MSEE 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.

Admissions Process

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

Invest in Yourself

"WashU’s campus makes the impossible feel possible. It is a campus that takes on big ideas. This culture challenges you as a student, but it also makes you strive for more. This mindset has helped me tremendously when joining industry. The master level course challenged me to understand challenging concepts at a level that I did not expect. The skills and understanding that I gained from my course work have been invaluable to my skillset as an engineer. Engineers are supposed to tackle the world’s biggest problems; WashU helped me feel like I am prepared to do so.

WashU is regarded as a top-notch institution. This reputation helped me to establish and develop the beginnings of my professional career. The faculty contributed to my education both in terms of helping me develop my technical abilities and in terms of refining my passions. The willingness to confidently take on challenging projects has helped me continue to learn and grow as an engineer since graduation."

William (Billy) Gardner, MSEE Alumni

Degree Requirements for Current Students

The Master of Science in Electrical Engineering is an academic master's degree designed mainly for both full-time and part-time students interested in proceeding to the departmental full-time doctoral program and/or an industrial career. Students pursuing the degree Master of Science in Electrical Engineering (MSEE) must complete a minimum of 30 units of study consistent with the residency and other applicable requirements of Washington University and the McKelvey School of Engineering and subject to the following departmental requirements:

• A minimum of 15 of the total 30 units must be selected from the Degree Requirement list below for core electrical engineering subjects taught by the Department of Electrical & Systems Engineering (ESE).
• A maximum of 6 credits may be transferred from another institution and applied toward the master's degree. Regardless of the subject or level, all transfer courses are treated as electives and do not count toward the core requirements for the degree.
• Regardless of subject or level, all transfer courses are treated as electives and do not count toward the core requirements for the degree.
• ESE 590  Electrical & Systems Engineering Graduate Seminar must be taken by full-time graduate students each semester. This course is taken with the unsatisfactory/satisfactory grade option.
• Courses outside of ESE must be in technical subjects relevant to electrical engineering and require the department's approval.
• Undergraduate Laboratory courses may not be used to satisfy this requirement.
• The degree program must be consistent with the residency and other applicable requirements of Washington University and the McKelvey School of Engineering.
• Students must obtain a cumulative grade-point average of at least 3.0 out of a possible 4.0 overall for courses applied toward the degree. Courses that apply toward the degree must be taken with the credit/letter grade option.

Either a thesis option or a course option may be selected. The special requirements for these options are as follows:

• Thesis Option:  This option is intended for those pursuing full-time study and engaged in research projects. Candidates for this degree must complete a minimum of 24 units of course instruction and 6 units of thesis research ( ESE 599 ); 3 of these units of thesis research may be applied toward the 15 core electrical engineering units required for the MSEE program. Any of these 6 units of thesis research may be applied as electives for the MSEE, MSSSM , and MSDAS programs. The student must write a master's thesis and defend it in an oral examination.
• Course Option:  Under the course option, students may not take ESE 599 Master's Research . With faculty permission, they may take up to 3 units of graduate-level independent study.

Degree Requirements

All full-time graduate students are required to take ESE 590  Electrical & Systems Engineering Graduate Seminar  each semester. This course is taken with an unsatisfactory/satisfactory grade option.

Refer to the University Bulletin for specific requirements.

Degree Electives

Any course numbered 401 or greater in the Engineering (with the prefix of BME, CSE, EECE, ESE, or MEMS), Physics or Mathematics department, excluding the exceptions listed below, are approved by the department as electives.

Students may take either ESE 417 or CSE 417T , but they may not use both as electives for the degree.

For students who have already taken ESE 318 & 319 , ESE 501 may not be used as an elective for graduate credit.

Additionally, the following courses are  NOT  approved by the department as electives. Requests for an exception to this policy may be submitted to the graduate program coordinator with the approval of the student's academic advisor.

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Frequently asked questions for Master's degree students

Madi Hester Graduate Program Coordinator [email protected] Green Hall, Room 1101

General Inquiries [email protected]

*For questions regarding your application please contact  Graduate Student Services

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E60 505: Communication Tools for Academic and Professional Success

The McKelvey School of Engineering requires all incoming international students who submit a TOEFL or IETLS score or has not obtained a minimum of three 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.

Dr. Sri Niwas Singh

Professor, department of electrical engineering indian institute of technology kanpur, 208016 (u.p.) india.

E-mail: [email protected], [email protected]   Phone: +91 512-259-7009 (O) / 8509 (R)   Fax: +91-512-259-0063

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M.Tech. Thesis Supervision

MTech | B.Tech | Ph.D Project Topics in Electrical Engineering for 2024

Embark on a journey of innovation and technological prowess with our curated collection of MTech | B.Tech | Ph.D project topics in Electrical Engineering for the year 2024. Each project is meticulously crafted, exploring cutting-edge advancements and challenges in the realm of electrical engineering. Aligned with trending IEEE standards, our selection encompasses a diverse range of project titles, each accompanied by a relevant base paper and a concise abstract.

Dive into the forefront of transformative research as you explore project topics that address contemporary issues and contribute to the ever-evolving field of electrical engineering . Whether you are a passionate student, dedicated researcher, or industry professional, our collection offers a gateway to the latest trends and breakthroughs.

These MTech | B.Tech | Ph.D projects delve into areas such as power systems , renewable energy, signal processing, and more. The titles are strategically chosen to incorporate keywords that resonate with the current trends in electrical engineering, ensuring relevance and alignment with the dynamic technological landscape.

Table of Contents

 Machine Learning Based Power System MTech | B.Tech | Ph.D Project Topics 2024

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Embedded Systems In EEE MTech | B.Tech | Ph.D Project Topics 2024

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Communication In EEE MTech | B.Tech | Ph.D Project Topics 2024

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Optimization Based EEE MTech | B.Tech | Ph.D Project Topics 2024

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Matlab Simulink MTech | B.Tech | Ph.D Project Topics 2024

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Himanshu Garg

Experienced Engineering Mentor and Educator | Empowering Students to Excel. With a passion for guiding and empowering engineering students, I am dedicated to supporting their academic journey and fostering their success. With a strong background in Process Control (instrumentation), I completed my Mtech in 2020. Passionate about helping students excel, aims to introduce new modules addressing mental stress problems and other crucial areas in Engineer's Planet. Connect with me to explore opportunities for collaboration and support in engineering education.

Matlab Simulink Project Topics With Abstracts and Base Papers 2024

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Electrical Engineering

The Department of Electrical and Computer Engineering offers two degrees for Electrical Engineering online through Engineering Outreach:

• Master of Engineering (M. Engr.) A non-thesis degree, requiring a minimum of 30 credits to graduate.
• Master of Science (M.S.) Requires writing a thesis and completing a minimum of 30 credits to graduate.

Areas of emphasis:

• Very Large Scale Integrated (VLSI) Circuits
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• Electric Power Systems

For further information about the program:

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Doctoral Thesis: Leveraging Mechanics for Multi-step Robotic Manipulation Planning

34-401A (Grier) (zoom link available upon request)

By: Rachel Holladay

Thesis Supervisor: Tomás Lozano-Pérez, Alberto Rodriguez

• Date: Friday, August 16
• Time: 1:00 pm - 3:00 pm
• Category: Thesis Defense
• Location: 34-401A (Grier) (zoom link available upon request)

Additional Location Details:

Abstract: This thesis focuses on enabling robots to robustly perform complex, multi-step manipulation tasks, like chopping vegetables or wielding a wrench. Completing such tasks requires a robot to plan and execute long sequences of actions, where each action involves many connected, discrete and continuous choices that are critically impacted by constraints relating to force, motion and contact. To tackle this, this thesis contributes models and algorithms that exploit the physics and geometry of the world in order to address the dual challenges of long-horizon decision-making and acting under uncertainty. We apply this in the context of three domains: in-hand manipulation, forceful manipulation and briefly-dynamic manipulation.

First, to reorient a grasped object, we develop a sampling-based motion planner to generate sequences of pushes that slide the object in-hand. We derive an abstraction for pushing to enable the planner to reason about frictional constraints. Second, we focus on forceful manipulation tasks, such as opening a childproof medicine bottle or twisting a nut on a bolt, where the robot’s planning choices are impacted by the need to exert force. We define constraints that explicitly consider torque and frictional limits and integrate these into an existing task and motion planning framework. We leverage cost-sensitive planning to enable the robot to generate plans that are robust to uncertainty in the physical parameters. Finally, we frame planning with dynamic actions, like shoveling or toppling, as requiring the robot to reason about both action uncertainty and potential dead ends. We learn a simple action model and formulate a sample-based manipulation planner that guards against dead ends in the face of uncertainty. Throughout this thesis, we validate the practical applicability of our model-based approaches by evaluating them on real robots.

• Email: [email protected]