Microwave Engg. Applications, Communication Engg.

Machine Learning in Wireless Communication, Low complexity Security solutions for IoT

Current Interest:
Low Power VLSI Circuit Design, Digital IC design, Embedded System Design Applications, Disease Diagnosis in Human beings using Voice Profiling,

Digital Signal Processing, Digital Communication, Signals and Systems, Information and Coding Theory

Current Interest: Communication engineering, Image Processing, Signal processing, Optical communication, Audio visual Engg..

Curriculum Vitae           Scopus Author Profile          ORCID                 Google Scholar     

Communication Systems, Signal Processing, Neural Networks, Image Processing

Signal and Image Processing, Signal Processing in Control Systems, Wavelets in Control Systems, Satellite Image Processing, Image Fusion, Data Fusion, Biomedical signal processing, Renewable energy, Sensors, Cyber physical systems

Resume

wireless communications, cognitive radio, mobility management issues,D2D communication, and mm wave communication

Wireless and Mobile Communication, Computer Networks, Ad-hoc & Wireless Sensor Networks, Network & Information Security, Internet of Things, Co-operative Communication, Next Generation Wireless Networks

Wireless Communication Systems:, MIMO, OFDM,  MIMO-OFDM systems, and massiveMIMO. Digital Signal and Image Processing, Optical Communication, Antenna and Wave Propagation.

Curriculum Vitae

Digital Signal Processing,  Microwave Engg.

Current area of research : Internet of Things (IoT/IoV), Deep learning algorithms, Wireless sensor network (WSN), Optimisation Techniques/ Game Theory, Advanced Wireless Communication Systems and Vertical Handover Issues

Semiconductor devices, Spintronics for MRAM applications, Molecular Engineering of 2D materials, Energy Storage Applications (ion-batteries and hydrogen storage), Computational Study of 2D Materials Based Nano-Devices, Nanomaterials for optoelectronic applications

Web Page: https://meenashweta.github.io/  Google scholar: https://scholar.google.com/citations?user=ui5RmgMAAAAJ&hl=en   linkedin: https://www.linkedin.com/feed/

Wireless Network Security, Cryptography, Physical Layer Security, Wireless Communication, IoT security, Intrusion Detection, Application of Machine learning in Information Security

Students who would like to purse Ph.D. or any research-oriented work under me, are always welcome.
Wireless Communications, Cognitive Radio Networks, Wireless Sensor Networks, Semiconductor Devices, VLSI Design, Embedded System Design, MIMO Systems, Digital Signal Processing, Image Processing, Internet of Things (IoT), Cloud Computing, Cryptography and Security, LTE, OFDM, etc.

Wireless Communication, Cognitive Radio, Spectrum Sensing, Optical Communication, Photonics Crystal Fiber Sensors, Applications of Machine Learning/Deep Learning in Wireless Communications

Curriculum Vitae              Google Scholar

Students who would like to purse Ph.D. or any research-oriented work with me, are always welcome. Microelectronics, Nanoscale VLSI Devices, Low Power VLSI Design

Digital Circuits, FPGA design & Hardware Security, Quantum-dot Cellular Automata (QCA), Fault Tolerant Architecture, Embedded System Design Applications, Low power VLSI design, Reconfigurable computing. Students who would like to pursue Ph.D. or any research-oriented work with me, are always welcome.

ORCID id: https://orcid.org/0000-0001-8099-4962

Scopus ID: 56525198300

Experience:
Total experience:
Teaching & Research: 13 years

Cognitive Radio Networks, NOMA, Digital communication, Microwave engg., Wireless sensor networks, Wireless Communications, MIMO Systems, Next generation of communication systems and IoT.

Low power and low temperature VLSI design, device circuit co-design in digital/analog domain, device modeling of multigate semiconductor devices.
GATE qualified students who would like to purse Phd or any research-oriented work under me, are always welcome. I take PhD students from both ECE Dept. and School of VLSI. My updated profile can be accessed from google scholar.

VLSI Design, Cryptographic Boolean Functions, Stream and Block Ciphers, Software and Hardware implementation of stream and block ciphers, Pipelining Architecture, Resource constrained devices, Lightweight Cryptography, PAPR reduction in OFDM system, Algebraic Attack, Crypranalysis, Cyber Physical System, Information Theory and Coding, Error Control Coding.

The students who would like to purse Phd (regular/part time/sponsored/self finance) in VLSI, Electronics and Communication Engineering or any research-oriented work under me, are always welcome. My updated profile can be accessed from google scholar.

Digital Signal Processing

Digital Signal and Image Processing, Computer Vision, Machine Learning and Artificial Intelligence, Biomedical Signal Processing,

Context awareness, Image processing, Bio-Medical Signal Processing, Speech Processing, Signal Processing for IoT and Applied Machine Learning.

Google Scholar      Orchid ID      Curriculum Vitae             LinkedIn

BIOGRAPHY

Dr. Ghanapriya Singh is working as an Asst. Professor (Grade I) in Department of Electronics and Communication Engineering at National Institute of Technology, Kurukshetra since Nov 2022. Prior to this, she was working as an Asst. Professor (Grade II) in Department of Electronics Engineering at National Institute of Technology, Uttarakhand since 2013. She has received her Ph.D. degree in Signal Processing from Indian Institute of Technology (IIT) Delhi. During her research at IIT, she was working on a project with STMicroelectronics, Santa Clara, California, USA. Her research work done at IIT was also showcased at CES, USA that is the largest consumer electronics show. She is an Inventor on 5 granted US patents and a European patent. She has also recently filed an Indian Patent. She is an Investigator in multiple projects funded by Ministry of Electronics and Information Technology and Department of Science and Technology, Govt. of India. She has authored in high impact factor SCI indexed journals. Her current research interests include Context awareness, Computer Vision, Bio-Medical Signal Processing, Speech Processing, Signal Processing for IoT, Deepfakes and Edge AI.

EXPERIENCE

• Assistant Professor (Grade-I) in the Department of Electronics and Communication Engineering, National Institute of Technology Kurukshetra (Haryana), India (since 22 November 2022 – Till Date)
• Assistant Professor (Grade-II) in the Department of Electronics Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal (U.K.), India (12 July 2013 – 21 November 2022)

EDUCATION

• Ph. D. from Indian Institute of Technology (IIT) Delhi (2018)
• M. Tech. in Signal Processing from Netaji Subhas Institute of Technology, University of Delhi (2013)

SPONSORED RESEARCH PROJECTS (03)

• Principal Investigator (PI) in a sponsored research project entitled, “IoT- based Multifunctional Scalable Real Time Farm Monitoring System for Smart Agriculture,” funded by IIT Ropar- Technology and Innovative Foundation for Agriculture and Water Technology Development Hub (AWaDH), Department of Science and Technology (DST), (amount: Rs. 16,93,760).
• Other Investigator in a sponsored research project entitled, “SPECIAL MANPOWER DEVELOPMENT PROGRAM FOR CHIP TO SYSTEM DESIGN (SMDP – C2SD) Sanction No. and Date :(1)/2014-MDD, Dated:15.12.2014,” funded by Ministry of Electronics and Information Technology (MeitY), (amount: Rs. 1,24,60,000).
• Lead Co-Principal Investigator (Lead Co-PI) in a sponsored research project entitled, “Development of Explainable AI model for deep learning algorithms to classify bacterial samples as resistant or susceptible based on Raman spectral data.” File No. ANRF/PAIR/2025/000018/PAIR – A, funded under the ANRF Priority Areas of Intervention in Research (PAIR) Grant Scheme, Advanced National Research Foundation (ANRF), Government of India

COLLABORATIVE RESEARCH PROJECTS (03)

• Contributed in a sponsored research project titled “Probabilistic framework for deriving context awareness of mobile or wearable device user” funded by STMicroelectronics Inc, Santa Clara, CA, USA at IIT Delhi between 2014-2018.
• Contributed in a sponsored research project titled “A signal processing algorithm for passive detection of open space or enclosed spatial environment” funded by STMicroelectronics Inc, Santa Clara, CA, USA at IIT Delhi between 2018-2020.
• Contributed in a research project titled “Deep learning model based computer vision based rehabilitation exercises” with Institute of Technology, Gopeshwar, Uttarakhand(2020-23).

PATENTS (5-GRANTED,1 PUBLISHED)

1. Mahesh Chowdhary, Arun Kumar, Ghanapriya Singh, Kashif R. J. Meer, Indra Narayan Kar, RajendarBahl, “Method and apparatus for determining probabilistic context awareness of a mobile device using a single sensor and/or multi-sensor data fusion,” US Patent 9870535, Date of Patent Filing: 18th March 2016, Date of Patent Grant: 16th Jan 2018
2. Mahesh Chowdhary, Arun Kumar, Ghanapriya Singh, Kashif R. J. Meer, Indra Narayan Kar, RajendarBahl, “Method and apparatus for energy efficient probabilistic context awareness of a mobile or wearable device user by switching between a single sensor and multiple sensors,” US Patent 10748075, Date of Patent Filing: 21st October 2016; Date of Patent Grant: 18th August 2020
3. Mahesh Chowdhary, Arun Kumar, Ghanapriya Singh, Rajendar Bahl, “Method for generating a personalized classifier for human motion activities of a mobile or wearable device user with unsupervised learning,” US Patent 10588517, Date of Patent Filing: 19th May 2017, Date of Patent Grant: 17th March 2020
4. Mahesh Chowdhary, Arun Kumar, Ghanapriya Singh, Rajendar Bahl, “Context awareness of a smart device through sensing transient and continuous signals,” US Patent No. US10976337B2Date of Patent Filing:25th January 2018, Date of Patent Publication: 25th July 2019, Date of Patent Grant: 13th April 2021.
5. Mahesh Chowdhary, Arun Kumar, Ghanapriya Singh, Rajendar Bahl, “Open vs. enclosed spatial environment classification for a mobile or wearable device using microphone and deep learning method,” —US Patent US10943602B2, Date of Patent Filing:26th Nov 2019, Date of Patent Publication: 9th July 2020, Date of Patent Grant: 2021.03.09 — European Patent Application no. EP3678136A1, Date of Patent Filing: 23th December 2019, Date of Patent Publication: 8th July 2020.
6. Pratishtha Verma, Aman Kumar Yadav, Ghanapriya Singh, Roshan Singh Bahl an invention titled “SYSTEMS AND METHODS FOR DETECTING MANIPULATED SEGMENTS WITHIN A VIDEO SEQUENCE” application number as 202511056947 Date of Patent Filing:13th June 2025, Date of Publication: July 18, 2025 in Patent Office Journal No. 29/2025.

TOP 10 BEST JOURNALS/CONF/BOOK CHAPTER  (TOTAL 46)

1. Tanwar, Ritu, Ghanapriya Singh, and Pankaj Kumar Pal. “A hybrid transposed attention based deep learning model for wearable and explainable stress recognition.” Computers and Electrical Engineering 119 (2024): 109551. (SCI Indexed, IF – 4.3)
2. Tanwar, Ritu, Orchid Chetia Phukan, Ghanapriya Singh, Pankaj Kumar Pal, and Sanju Tiwari. “Attention based hybrid deep learning model for wearable based stress recognition.” Engineering Applications of Artificial Intelligence 127 (2024): 107391. (SCI Indexed, IF – 8.0)
3. Semwal, Vijay Bhaskar, Youngshik Kim, Vishwanath Bijalwan, Astha Verma, Ghanapriya Singh. “Development of the LSTM Model and Universal Polynomial Equation for all the Sub-phases of Human Gait.” IEEE Sensors Journal (2023). (SCI Indexed, IF – 4.3)
4. Ghanapriya Singh, Orchid Chetia Phukan, Ravinder Kumar. “Stress recognition with multi-modal sensing using bootstrapped ensemble deep learning model” Expert Systems (2023). DOI https://doi.org/10.1111/exsy.13239 (SCI Indexed, IF-2.857)
5. Kaloni, Smita, , Prashant Tiwari and Ghanapriya Singh. “User-defined high impulsive frequency acquisition model for mechanical damage identification.” Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, (2023). DOI 1177/14644193231157176. (SCI Indexed, IF – 1.992)
6. Kaloni, Smita, Ghanapriya Singh, and Prashant Tiwari. “Nonparametric damage detection and localization model of framed civil structure based on local gravitation clustering analysis.” Journal of Building Engineering 44 (2021): 103339.(SCI Indexed, IF – 7.114)
7. Vishwanath Bijalwan, Vijay Bhaskar Semwal, Ghanapriya Singh, Tapan Kumar Mandal. ” HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation.” Neural processing lettersAccepted on 27 December 2021. DOI 1007/s11063-022-10744-6 (SCI Indexed, IF-2.908)
8. Bijalwan, Vishwanath, Vijay Bhaskar Semwal, Ghanapriya Singh, and Ruben Gonzalez Crespo. “Heterogeneous computing model for post‐injury walking pattern restoration and postural stability rehabilitation exercise recognition.” Expert Systems (2021): e12706. (SCI Indexed, IF-2.857)
9. Ghanapriya Singh, Mahesh Chowdhary, Arun Kumar, and RajendarBahl. “A Personalized Classifier for Human Motion Activities With Semi-Supervised Learning.” IEEE Transactions on Consumer Electronics66, no. 4 (2020): 346-355. (SCI Indexed, IF-2.947)
10. Agarwal, Nidhi, Akanksha Sondhi, Khyati Chopra, and Ghanapriya Singh. “Transfer learning: Survey and classification.” In Smart Innovations in Communication and Computational Sciences, pp. 145-155. Springer, Singapore, 2021.

Administrative Post (at NIT Kurukshetra)

1. FiC Mechatronics Lab, Siemens Centre of Excellence (SCOE).
2. Warden of Girl’s Hostel, NIT Kurukshetra.
3. FiC Website (ECE)
4. FiC of IIoT lab
5. FiC Advanced Analog Lab
6. FiC Industrial Visit

VLSI Design: Nano-electronics Devices, Thin films transistors, Semiconductor Device and circuits. Device Modeling: MOS Devices Modeling and Numerical simulation analysis of Semiconductor devices Electrical Characterization of semiconductor devices in MHz and THz frequency ranges. Circuit Design: Ultra Low Power SRAM / DRAM / RRAM based Memory Circuit Design from Devices to Array Architecture using CMOS and Advanced CMOS Devices technologies. Machine Learning in Semiconductor device/circuit-based application in research.

Dr. Sambaiah Pelluri is an Assistant Professor in the Department of Electronics and Communication Engineering at the National Institute of Technology (NIT) Kurukshetra, India.

He holds a B.Tech in Electronics and Communication Engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad (2008), an M.Tech in Electronic Design and Technology from the National Institute of Technology (NIT) Calicut (2010) and a Ph.D. from the Indian Institute of Technology (IIT) Roorkee (2021). Prior to joining NIT Kurukshetra, he has worked at Vignan’s Foundation for Science, Technology & Research, Andhra Pradesh, for four years after completing his Ph.D.

During his doctoral research, he focused on Substrate Integrated Waveguide (SIW) filters. His current research interests include RF/Microwave circuits, Microwave Passive components,  Analog and RFIC design.

Google Scholar

Dr. Suman Nelaturi is an Assistant Professor in the Department of Electronics and Communication Engineering at the National Institute of Technology (NIT) Kurukshetra, India.

He holds a B.Tech in Electronics and Communication Engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad in 2006, an M.Tech in Embedded Systems from Jawaharlal Nehru Technological University (JNTU), Kakinada in 2011, and a Ph.D. from the National Institute of Technology (NIT) Warangal in 2018. During his doctoral research, he focused on Metamaterials based Circularly polarized dual and wide band Microstrip Patch Antennas.

Prior to joining NIT Kurukshetra, he has worked at Vignan’s Foundation for Science, Technology & Research, Andhra Pradesh, for 6 years 7 months after completing his Ph.D. His current research interests include Microstrip Patch Antennas based on Metamaterials, Active Electronic Scanned Arrays, Synthesis of Antenna Arrays using optimization and Machine Learning Techniques.

Photonic Integrated Circuits (PICs) Photonic Crystals (PhC), PhC-waveguides, Photonic sensors, Plasmonics, Biosensors.

Dr. Varun Kumar Singh is an Assistant Professor in the Department of Electronics and Communication Engineering at the National Institute of Technology (NIT) Kurukshetra, India.

He holds a B.Tech in Electronics and Communication Engineering from JSS Academy of Technical Education, Noida, M.Tech and Ph.D. in Electronics Engineering from the Indian Institute of Technology (IIT) BHU, Varanasi. During his doctoral research, he focused on fabrication and characterization of thin-film based semiconducting devices for various electronics and sensing applications.

Prior to joining NIT Kurukshetra, he worked at SRM University AP, Andhra Pradesh, for 1 year after completing his Ph.D.. His current research interests include Analog and Digital VLSI design, Semiconductor Device Modelling, and fabrication and characterization of thin-film based semiconducting devices.

Image processing ( image forensics and image restoration), Computer Vision and Deep learning with applications of object detection in agriculture, solar and aircraft defect analysis, language script recognition and semiconductor neutron detection. 

Dr. Gourav Prateek Sharma is an Assistant Professor in the Electronics and Communications Engineering department at the National Institute of Technology Kurukshetra, India. From December 2024 to July 2025, he served as an Assistant Professor at the Thapar Institute of Engineering and Technology, Patiala. Prior to that, he was a postdoctoral researcher in the ISE division (School of EECS) at KTH Royal Institute of Technology, Sweden for two years. He received his Ph.D. from IDLab, Ghent University in June 2022, where his dissertation focused on developing and analyzing optimization algorithms for efficient resource allocation in telecom and media broadcast networks. His current research is centered on time-sensitive networking (TSN) and its integration with 5G/5G-Adv networks. He holds a B.Tech. in Electronics and Communications Engineering from NIT Srinagar and an M.Tech. in Optoelectronics and Optical Communications from IIT Delhi. 

Personal webpage         Google scholar 

Dr. Ankush Vashistha is an Assistant Professor in the department of Electronics and Communications Engineering at the National Institute of Technology Kurukshetra, Bharat. He holds a Ph.D. from Nanyang Technological University, Singapore. He has served as an Assistant Professor at Birla Institute of Technology and Science, Pilani, Rajasthan, India. Prior to which he was working as a Research Officer at Future Communication and Translational lab for 5G, a national lab funded by Infocom Media Development Authority (IMDA) Singapore, where his role was to set up a research and development 5G communication lab focusing on a translational collaboration with Industries. He has also worked as a research scientist in Temasek Laboratories Singapore, a research lab funded by Defense Science Organization Singapore where his role was to design signal processing algorithms for defense applications. His current research interest is in the areas of Embedded system(s) for Robotics and drone applications, wireless communication, specifically indoor and outdoor 5G based positioning, and Reflective Intelligent surfaces. He belongs from a village “Peepla” near Jaipur, Rajasthan, Bharat. 

Dr. Dablu Kumar is an Assistant Professor in the Department of Electronics and Communication Engineering at the National Institute of Technology (NIT) Kurukshetra, India.

He received his B.E. degree in Electronics and Communication Engineering from RGPV Bhopal in 2011, and M.Tech degree in ECE (Communication Systems) from NIT Patna, India in 2015. He completed Ph.D in ECE (Optical Fiber Technology) from NIT Patna in 2020. His current research interests include Multicore fiber, and Fiber optics communication & Photonics, Wireless communication, and Microelectronics (PCB Fabrication & Semiconductor devices).

Prior to joining NIT Kurukshetra, he worked as Assistant Professor (Level-10) at Dr. Rajendra Prasad Central Agriculture University, Pusa, Bihar for 4 months, and 10 months at MITS-DU Gwalior. Earlier worked as Assistant Professor (Temporary) at NIT Patna for 3.5 Years, and 1 Year at HMRITM Delhi. He has teaching experience of nearly 6 Years.

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Signal Processing