electrical and electronics engineering department thrust
TRANSCRIPT
Electrical and Electronics Engineering Department Thrust Areas of Research
COMMUNICATION ENGINEERING, NETWORKS
MICROWAVE, ANTENNA DESIGN & WIRELESS SYSTEMS
INSTRUMENTATION & CONTROL
POWER SYSTEMS, RENEWABLE ENERGY, SMART GRID Technologies
POWER ELECTRONICS AND DRIVES
MICRO/ NANO ELECTRONICS, ELECTRONIC MATERIALS, DEVICES, AND TECHNOLOG
Faculty expertise
• Digital Signal and Image Processing,
• Medical Image Processing,
• Digital Communications,
• Network Security,
• Artificial Intelligence ,
• Embedded Systems and Internet of Things
• Renewable Energy Intelligent Building
• Artififcial neural networks and fuzzy logic for modeling and Control ,
• Intelligent Control System Aspects applied to Robotics,
• Mechatronics, Process Control systems,
• Computer Vision,
• Biomedical Instrumentation
• Image processing & AI applications,
VLSI Design
• Bio Medical Signal/ Image Processing,
• Renewable Energy Integration,
• Signal Processing Applications to Power systems
• Device reliability, and Circuit design,
• Neuromorphic computing,
• AI and IOT applications
• Power Electronics applications to Power System
• Speech signal processing; Speech processing as
an aid for the hearing impaired;
• Communication Systems
Current PhD Scholars
Mr. Ravipudi Sudhir Mr. Ashok Kumaravelan
Ms Siona Menezes
Facilities
• VLSI Design Lab
• CAD for IC DesignLab
• Analog IC Design Lab
• MEMs Lab
• Embedded System DesignLab
• FPGA Design Lab
• ANN Lab
• System Simulation Lab
• Solid State Drives Lab
• Power Converter Lab
• Power Quality Lab
• Electrical Machines Lab
• Instrumentation Lab
• MiPower,
• MultiSim,
• IES-VE,
• PSPICE and MATLAB
• Cadence,
• Mentor Graphics,
• Altera Quartus ,
• PSPICE
• Labs are equipped with FPGA and Microcontroller Kits
Research Accomplishments
• More than 150 Publications in esteemed journals with SCI and Scopusindexing like IEEE Transactions on Industrial Electronics ,IET Proceeding onScience, Measurement & Technology, Elsevier Measurement, Applied SoftComputing, Elsevie, Biomedical Signal Processing and Control, Elsevier, IETRenewable Power Generation, i Multimedia Tools and Applications, iComputers & Electrical Engineering, Intl J on Engineering Applications, ,Journal of Engineering Science and Technology, ” International Journal ofElectrical and Computer Engineering, Energies, Transactions on EmergingTelecommunications Technologies, in International Journal of Electronics,IEEE Journal of the Electron Devices Society, The VLSI Journal, MultimediaTools and Applications, Computers and Electrical Engg etc.
Profile: https://universe.bits-pilani.ac.in/dubai/thomas/profile
Email: [email protected]
Phone: +971 42753700 (Ext. 111)
“Speech processing as an aid forimproved perception by the hearingimpaired”
Areas of Interest: Speech signal processing; Signalprocessing algorithms as an aid for the hearing impaired;Wireless communication systems
A number of research studies have aimed at identifying and enhancing important speechcharacteristics that are distorted, weak, or imperceptible for hearing-aid users. Onepromising scheme to improve intelligibility is based on studies of speaking clearly for thehearing impaired. It is expected that individuals with hearing loss would receive speechrecognition benefits if their communication partners were provided with clear-speechintervention.
Ongoing Research• Speech signal processing algorithms as an aid for the hearing impaired• Creating synthetic speech stimuli and altering acoustic segments
independently to study their effects on speech perception under simulatedhearing-impairment conditions.
Recent Publications:1. T. G. Thomas, “Information transmission analysis of the effects of synthetic
stop consonant duration modification on speech perception”, Published in IEEE Xplore on 16 May 2019
2. Poorva G. Parande and T. G. Thomas, “A study of the cocktail party problem”, International Conference on Electrical and Computing Technologies and Applications, UAE, 2017 available on IEEE Xplore Digital Library
Speech spectrogram showing important acoustic characteristics
Dr Jagadish Nayak, Associate Professor Profile Link: http://universe.bits-pilani.ac.in/dubai/jagadishnayak/ProfileEmail : jagadishnayak@dubai,bits-pilani.ac.inPhone: +971 4 2753700 Ext: 436
Research Focus : ❑ Signal and Image Processing Applications in Medicine. ❑ Applications of Artificial Intelligence and Machine
Learning Techniques.❑ Internet of Things and its Applications.❑ Microelectronic Circuit Design.
Ongoing Research : Automated detectionof abnormalities in human body usingmedical images and physiological signalsusing Artificial intelligence and Machinelearning techniques
IoT in Healthcare sector. Design of IoT based system for automation in everything using AI methods. Fast Designing of an Integrated circuit using FPGAs. Image Registration for medical applications. Design of Wireless communication for IoTs and wearable devices.
Latest Publications
Dr. V. Kalaichelvi
Associate Professor
Profile Link: https://universe.bits-pilani.ac.in/dubai/kalaichelvi/profileEmail: [email protected] +971 4 2753700, Ext: 349Faculty In-charge: Student based Research Team IFORNo of Ph.D. Candidates Supervising : 1 (Full Time)
“Our research group is mainly focusing on applicationsof Artificial Intelligence and Intelligent ControlStrategies for Robotic Applications “
Research Interests: Process Control, Intelligent Control Strategies, AI and Computer Vision based Control Systems applied to Robotics, Neural Networks & Fuzzy Logic.
Ongoing Interdesplinary Research:1.Weld seam tracing using 3D point cloud data2. Application of Convolutional Neural Network for Classification and Tracking of Weld Seam Shapesfor TAL Brabo Manipulator.3.Time Series Prediction of Weld Seam Coordinates for 5 DOF Robotic Manipulator Using NARXNeural Network4. Deep Learning Based Autonomous Weld Profile Detection and Tracing for 5 DOF RoboticManipulator (scaled YOLOv4)
5.Comparative Study of Object Detection Algorithms for Weld Seam Detection and Tracing with 5 DOFRobotic Manipulator in Planar Environment.6.Reinforcement Learning Based Inverse Kinematics Solution for TAL BRABO Manipulator.7. Vision based reinforcement learning for obstacle avoidance of TAL BRABO Manipulator.8. Prototype Design and Performance Analysis of Genetic Algorithm based SLAM for Indoor Navigationusing TETRIX Prizm Mobile Robot9. Implementation of SLAM and path planning in turtlebot2i10. Design of PID controller with integration of ROS and MATLAB11.Social Distancing Features with Indoor Drones
Latest Publications:1. Raja, Anudeep and V.Kalaichelvi Multimedia Tools and Applications, 2021, 80, 11201
2. Raja, Anudeep and V.Kalaichelvi Computers & Electrical Engineering, 2020, 85, 106653.
3. Mattara Chalill Subin.,Abhilasha Singh.,Venkatesan kalaichelvi.,Ramanujam Karthikeyan andchinnapalaniandi Periasamy., Mech Sci.,11.,2020.,pp.299-316.
4. Abhilasha Singh,V.Kalaichelvi & R.Karthikeyan.,Materials Today: Proceedings.,2020, Volume 28.,Part 2,pp 491-497, https://doi.org/10.1016/j.matpr.2019.12.149.
5. Nilesh Goel., Shazia Hasan and Kalaichelvi V., Lecture Notes in Electrical Engineering, 2020.,Vol 659,I,B-E
6. Abhilasha Singh, V.Kalaichelvi & R.Karthikeyan., Int. J. Mechatronics and Automation.,2021(Accepted)
OpenV
Object, Face or Image detection and tracking.
OpenCV
Object detection and tracking with PID
Controller
Face and Image detection and tracking
with PID Controller
MATLABObject Detection and tracking using Visual
Survoing
Details of Interdesplinary Consultancy Projects Completed as Co-PI:1. Development of Computer Application for Prediction of Cement Strength at Star Cement Co
L.L.C.,Ajman Cement Factory.,UAE.2. Development of Mobile Application for Raw Mix and Fuel Cost Optimization at Star Cement Co
L.L.C,Ras Al Khaimah.,UAE.
Dr. A.R.ABDUL RAJAKAssistant Professor
ProfileLink:https://universe.bitspilani.ac.in/dubai/abdulrazak/profileEmail: [email protected] +971 4 2753700 Ext: 346
“Research group working in wireless communication
aims to reduce BER in the MIMO system, OFDM systemand CDMA systems .Research group working in VLSI
design aims to reduce area, power and delay”Area of Interests: VLSI design and Wireless Communications
Ongoing Research: Current efforts to find solution to the spectrum scarcity problem in acurrent having very high frequency (VHF) spectrum used for aeronautical communication, FCIand ICAO jointly proposed to use L-band (UHF) in the frequency range of 960–1164 MHz insteadof VHF band if coexistence with legacy systems is ensured. As a result, interference from variouslegacy systems operated in the UHF band would become a bottle- neck of the new air-to ground(A/G) communication system in the UHF band. LDACS type 1 (LDACS1) and LDACS type 2(LDACS2), are preselected as the most promising candidates for future aeronauticalcommunications operated in L-band.
Latest Publications:1. Miziya, Raja, Libin, Abdul Rajak IEEE 40th Digital avionics systems Conference, Texas, USA,
2021.
2. Rohit Vasu ,A.R.Abdul Rajak & Shazia Hasan.2021. Design and Simulation of Single Ended
double balanced RF Gilbert Mixers. ARPN Journal of Engineering and Applied Science.
Vol.15,No.20.pp 2238-2243.
3. Ansha Noushad and A.R. Abdul Rajak,VLSI IMPLEMENTATION OF COMPLEX MULTIPLIER
USING VEDIC MATHEMATICS AND STUDY ITS PERFORMANCE,ARPN Journal of
Engineering and Applied Sciences,Vol.16,Issue 10 Pages 1058-1061
In a wireless communication system, the transmitted signal is exposed to various surfaces where itbounces and results in several delayed versions of the same signal at the receiver end. The delayedsignals are in the form of electromagnetic waves that are diffracted and reflected from the variousobject surfaces. These result in co-channel interferences for wireless systems. MIMO has proven tobe a striking solution for the new generation of wireless systems. MIMO-OFDM system with QPSKmodulation is considered as the wireless system for studying the performance of interferencecancellation techniques. The BER performance is studied in channels such as Rayleigh and RicianFading Channels. The effects of interference are reduced to a certain extent by the inclusion ofCDMA (spread spectrum technique) as Technique 1. The effects of interference on this system havebeen further reduced using the LMS filter as Technique 2. Hence, to show better performance inMIMO-OFDM systems, it is recommended to employ both CDMA and LMS filters to decrease theeffects of co-channel interference. It is observed that the parameter BER reduces as the SNRincreases for both these channels.
Profile: https://universe.bits-pilani.ac.in/dubai/gomathi/profile
Email: [email protected]
Phone: +971 4 2753700 (418)
“Intelligent simulation models, suitablefor integrated lighting schemes /renewable energy technologies”
Areas of Interest: Building Energy Management,Intelligent Controller, AI, Lighting control, Daylighting
Our focus is to identify and evolve suitable intelligent models forallowing flexible adaptation to dynamic environmental and userpreferences in the building domain. Another key focus is to develop AImodels to assist in optimal scheduling and planning of power gridsystem, when renewable sources are integrated.Ongoing Research• Simulation assisted building control• Intelligent simulation model for energy saving, integrated lighting• Forecasting of photovoltaic power output using AI• Substation automation
Recent Publications:1. Forecasting Photovoltaic Power Output using Long Short-Term Memory and Neural
Network Models, Intl J on Engineering Applications, 2021.2. Optimal Performance Analysis of Building Interiors using IES VE, 2021.3. 2-D Terrain Chart Mapping for a Navigation Robot using Tactile Sensor for System
Modelling, J of Engg and Applied Sciences Vol. 14, No. 19, 2019, pp. 7187-7192.
Forecasting Photo Voltaic Power Output using AI
Simulation Assisted Daylighting Control
Dr. R SWARNALATHA
Assistant Professor
Profile: http://universe.bits-pilani.ac.in/dubai/swarnalatha/profile
Email : [email protected]
Phone: +971 4 2753700 (Ext. No: 434)
Areas of Interest : Bio Medical Instrumentation, Control Systems,
Process control & Instrumentation,
Neural Network & Fuzzy Logic
On-going Research:
• Object Detection for an Industrial Automation using Image Processing
• Myoware sensor for detecting wrong position during workout
• Voice recognition based home automation system using Arduino.
• Epileptic Detection from EEG signal
Latest Publications:
• Rachel Austin, Fiona Lobo, Swarnalatha Rajaguru," GSM and Arduino Based Vital Signs Monitoring", The open Biomedical Engineering Journal, Vol 15, pp 78-89, Oct 2021.( Scopus)
• Krishna Ganesh, R Swarnalatha,” Improved Brain Tumor Segmentation and Diagnosis using an SVM-based Classifier” LectureNotes in Electrical Engineering - Medical Imaging and Computer-Aided Diagnosis, Springer. pg 35-45. July 2020.(ESCI & Scopus)
• Neeraja Padman, R Swarnalatha , Varsha Venkatesh, Neelesh Kumar, “Telediagnosis of Parkinson’s Disease Symptom Severityusing H&Y scale”, Journal of Engineering Science and Technology. Vol 15, No 3, June 2020. pp 1466-1480.( ESCI & Scopus)
• Abhishek Anil Mungekar, Yashraj Kalpesh Solanki, R Swarnalatha, “Augmentation of a SCADA based Firewall against Foreignhacking devices” International Journal of Electrical and Computer Engineering. Vol 10, No 2, April 2020. pp 1359-1366.(Scopus)
• Dev Gupta, Akanksha Parikh, R. Swarnalatha.” Integrated Healthcare Monitoring Device for Obese Adults Using Internet ofThings (IoT)” International Journal of Electrical and Computer Engineering, Vol 10, No 1, Feb 2020. pp 1239-1247(Scopus).
Different Segmentation Techniques
Type of Tumor Diagnosis
Dr. Vilas Haridas GaidhaneAssistant Professor
Email: [email protected] +971-42753700 Ext: 406Important Link: Profile: https://universe.bitspilani.ac.in/dubai/vhgaidhane/profile Google Scholar: https://scholar.google.co.in/citations?user=RiL4yCUAAAAJ&hl=enScopus: https://www.scopus.com/authid/detail.uri?authorId=36782060100
“Our research group currently working on finding solutionsfor an efficient image and video quality assessment and itsapplications in Multimedia imaging and Video streaming,Biomedical imaging, Remote sensing and Biometrics.”
The Research includes the mathematical modeling basedon the control techniques and Artificial Intelligence.
Area of Research Interests: Image and Video Processing, Control Techniques, VLSI Design.
Ongoing Research:(i) Our research work is to develop an efficient similarity measure (cost
function) and suitable artificial intelligence approach to achieve the imageregistration.
(ii) Current research focuses on the image quality analysis which is an importantissue in computer vision applications.
(iii) An interdisciplinary research work of application of control theory invideo streaming application. The better video streaming can be carriedout using a multiple controller approach.(iv) Our research also focuses on the design of the VLSI circuit togenerate the renewable energy.
Latest Publications:1. “Energy Harvesting from Far field RF Signals” Patent Awarded By Government of
India, 2021.2. “efficient approach for no-reference image quality assessment based on statistical
texture and structural features” Engineering Science and Technology, AnInternational Journal (Elsevier), 2021, Impact Factor – 4.36.
3. “A novel approach for image focus measure,” Signal, Image and Video Processing(Springer), vol. 15, no. 3, pp. 547-555, 2021. (Impact Factor – 2.157.
4. “Energy harvesting from far field RF signals” International Journal of RF andMicrowave Computer-Aided Engineering (Wiley), vol. 29, no. 5, pp. e21612, May2019. (Impact Factor- 1.694)
5. An efficient edge extraction approach for flame image analysis” Pattern Analysis
and Applications (Springer), 2018. (Impact Factor- 2.587)
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Dr. Shazia HasanAssistant Professor
Profile link: https://universe.bits-pilani.ac.in/dubai/Shazia/ProfileEmail:[email protected]
Phone: +97144200700, Extn,408
• Recent Publications:
1. "Robust Segmentation of Vascular Network using Deeply Cascaded AReN-UNet", Biomedical Signal
Processing and Control, Elsevier (2021).
2. "A self-powered Solar Panel Automated Cleaning System: Design and Testing analysis", Journal: Electric
Power Components and Systems, Taylor & Francis (2021)
3. “A systematic review on detection and estimation algorithms of EEG signal for epilepsy”, Int. J. Medical
Engineering and Informatics (2021).
4. “Virtual Inertia provision through Data Center and Electric Vehicle for ancillary services support in microgrid”,
IET Renewable Power Generation (2020)
5. “Automatic Waste Detection by Deep Learning and Disposal System Design”, Journal of Environmental
Engineering and Science, (2020).
6. “Virtual Inertia Support in the microgrid, its research challenges, and its technology potentials in recent years",
International Journal of Power Electronics -IJPELEC (Accepted)
• Awards and Projects:
• Academic Achievement for University Professor/Researcher Award, LEWAS 2020.
• Principal Investigator(PI) for Star Cement Consultation Project on “Harmonic Mitigation in Industrial Facility”.
• Received Young Scientist award from VIFRA, INDIA 2015.
Area of Interest:• Signal and Image processing• Signal processing application to Power
systems• Renewable energy systems and integration• Applications of AI and Deep Learning
Ongoing Research:
• Application of virtual inertia for frequency regulation in renewable
integrated power system operation.
• Energy management system with Virtual Power Plant concept.
• AI and Deep learning methods in forecasting of solar power.
• AI and Deep learning methods for Biomedical Signal classification.
Dr. Sunil Thomas
Assistant Professor
Profile Link: https://universe.bits-pilani.ac.in/dubai/sunilthomas/profileEmail: [email protected] +971 4 2753700 Ext: 402
“Our research group currently focusses on stability
analysis of Power System interconnected with Grid
Forming (GFM) Converters”Area of Interests: Power Electronics Applications to Power Systems, Grid Forming and Following Converters.
Ongoing Research: Penetration of renewable energy (e.g. wind and solar) to the grid is rushingthroughout the world and some of the countries are already achieved 100% penetration tomeet their demand. The renewable energy sources are interconnected to the grid throughpower electronics inverter so the generation is termed as Inverter Based Generation (IBG).With the high penetration of IBG, the conventional generators (Thermal, Hydro and nuclearpower plants) are displaced to balance the power flows. This transition from conventionalgeneration (rotational inertia) to Inverter Based Generation (power electronics) will lower theavailable inertia in the grid. In view of IBG physical characteristics and lack of inertia leadingresearchers and power system operators to work towards detailed modeling, power systemstability & control aspects to achieve grid operation with 100% IBG. Therefore, it is of utmostimportant to develop integration methods for high penetration of IBG without causing stabilityproblems in the power grid.
Latest Publications:
1. Faisal, Syed F., Abdul R. Beig, and Sunil Thomas. "Real-Time Implementation of Robust Loop-Shaping
Controller for a VSC HVDC System." Energies (19961073) 14.16 (2021).
2. Faisal, Syed F., Abdul R. Beig, and Sunil Thomas. "Time domain particle swarm optimization of PI
controllers for bidirectional VSC HVDC light system." Energies 13.4 (2020): 866..
3. Faisal, Syed F., Abdul R. Beig, and Sunil Thomas. "Comparative Study for Robust STATCOM Control
Designs Based on Loop-Shaping and Simultaneous Tuning Using Particle Swarm Optimization."
International conference on Modelling, Simulation and Intelligent Computing. Springer, Singapore, 2020.
4. Kannan, Nithiyananthan, Thomas,Sunil et al. "Enhanced data communication models for real‐time power
system monitoring in a distributed platform." Transactions on Emerging Telecommunications
Technologies 31.12 (2020): e3864..
Dr. Nilesh Goel
Assistant Professor
Profile Link: https://bits-pilani.ac.in/dubai/nileshgoel/profileEmail: [email protected]
Phone +971 4 2753700 Ext: 316
Area of Interests:
• Neuromorphic Computing.
• Semiconductor Device and Circuit reliability.
• Reliability and variability aware circuit design.
• IoT and its Applications using AI.
Latest Publications:
• “Integral Impact of PVT variation with NBTI degradation on SRAM dynamic and static performance metrics”, in International Journal of Electronics, Apr 2021, DOI: 10.1080/00207217.2021.1908628
• "Modeling of DC - AC NBTI Stress - Recovery Time Kinetics in P-Channel Planar Bulk and FDSOI MOSFETs and FinFETs," in IEEE Journal of the Electron Devices Society, vol. 8, 2020, doi:
10.1109/JEDS.2020.3023803.
• "Analysis of SRAM metrics for data dependent BTI degradation and process variability", in Integration, The VLSI Journal vol. 72, May 2020, pp. 148-162. (DOI: https://doi.org/10.1016/j.vlsi.2020.01.006)
• "Device to Circuit Framework for Activity- Dependent NBTI Aging in Digital Circuits," in IEEE Transactions on Electron Devices. vol. 66, no. 1, pp. 316-323, Jan. 2019. (DOI:10.1109/TED.2018.2882229)
• “BTI Analysis Tool-Modeling of NBTI DC, AC Stress and Recovery Time Kinetics, Nitrogen Impact, and EOL Estimation” in IEEE TED, vol. 65, Jan 2018. (Review Paper) (DOI:10.1109/TED.2017.2780083)
• "A Comprehensive DC and AC PBTI Modeling Framework for HKMG n-MOSFETs," in IEEE Transactions on Electron Devices, vol. 64, no. 4, pp. 1474-1481, April 2017. (DOI:10.1109/TED.2017.2670260)
On going project:
Neuromorphic systems are designed and developed to meet the
computational requirement of AI, ML and Computer vision algorithms
for being low power and computationally efficient.
Our work is designing reliability and variability aware neuron and
synapse CMOS circuits for improved performance. This helps in better
prediction of data (either image, audio, video etc.) over the lifetime of
semiconductor chip. We mainly investigates the BTI and HCI related
impact on circuits.
We are also working on the applications of IoT with AI and ML
techniques.
Total Citations: > 950
h-Index: 17
i10-index: 19