Wireless Communication Systems:, MIMO, OFDM, MIMO-OFDM systems, and massiveMIMO. Digital Signal and Image Processing, Optical Communication, Antenna and Wave Propagation.
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..
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
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
Microwave Engg. Applications, Communication Engg.
Wireless Network Security, Cryptography, Physical Layer Security, Wireless Communication, IoT security, Intrusion Detection, Application of Machine learning in Information Security
Research Publications: Poonam Jindal – Google Scholar
Scopus ID: 58498686300
Memberships Senior Member IEEE, FIETE
Experience: Teaching: 21 Yrs
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
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
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
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.
Research interest areas are Digital Signal Processing, including Biomedical Signal Processing, Advanced Digital Signal Processing, Adaptive Signal Processing, Multirate Systems and Filter Banks, Digital Image Processing, Stochastic Processes, Detection and Estimation, and Digital Electronics & Communication.
The students interested in pursuing a PhD (Regular, Part-time, Sponsored, or Self-financed) in the areas of Uniform and Non-Uniform Filter Banks, Perfect Reconstruction Filter Banks, Multirate Filter Banks for Artifact Removal from Biomedical Signals, Wavelet-Based Multirate Approaches, Adaptive Polyphase Filter Banks for Artifact Removal from Biomedical Signals, Subband Coding for Wireless Biotelemetry, in Electronics and Communication Engineering, or any research-oriented work under my supervision, are always welcome.
Ambient Intelligence, Image processing, Bio-Medical Signal Processing, Speech Processing, Signal Processing for IoT and Applied Machine Learning.
Google Scholar Orcid ID Curriculum Vitae LinkedIn
BIOGRAPHY
Dr. Ghanapriya Singh is an accomplished academic, researcher, inventor, and technology leader, currently serving as Assistant Professor (Grade I) in the Department of Electronics and Communication Engineering at National Institute of Technology (NIT), Kurukshetra. She has over 15 years of academic and research experience, including her earlier tenure at NIT Uttarakhand. She received her Ph.D. in Signal Processing from IIT Delhi, where she conducted research in collaboration with STMicroelectronics, Santa Clara, California, USA. Her research work was showcased at CES, USA, one of the world’s leading technology exhibitions, highlighting its strong industry and translational relevance. Dr. Singh is an accomplished inventor with five granted US patents and one European patent, along with a recently filed Indian patent. She has been involved in multiple sponsored research projects funded by MeitY, DST, ANRF, ISRO, and other national agencies, with a cumulative research funding portfolio of approximately ₹1.83 crore. She has published in high-impact SCI-indexed international journals. Her research interests encompass Artificial Intelligence, Edge AI, Computer Vision, Biomedical Signal Processing, Context-Aware Computing, IoT, Deepfakes, Explainable AI, Federated Learning, and intelligent healthcare systems. She has also demonstrated academic leadership through the organization of international IEEE and Springer conferences and various scholarly initiatives. Her profile reflects a strong combination of research excellence, innovation, intellectual property, industry collaboration, sponsored funding, and academic leadership, with a vision to translate emerging technologies into impactful real-world solutions.
EXPERIENCE
EDUCATION
SPONSORED RESEARCH PROJECTS (04)
COLLABORATIVE RESEARCH PROJECTS (03)
PATENTS (5-GRANTED,1 PUBLISHED)
TOP 10 BEST JOURNALS/CONF/BOOK CHAPTER (TOTAL 46)
Administrative Post (at NIT Kurukshetra)
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.
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.
Dr. Amit Kumar is an Assistant Professor in the Department of Electronics and Communication Engineering at the National Institute of Technology (NIT) Kurukshetra, India. He joined the institute in July 2025. He earned his Ph.D. from the Indian Institute of Technology (IIT) Roorkee, India, in 2021, where his doctoral research focused on high-speed VLSI interconnects and circuit design. Before joining NIT Kurukshetra, he worked as an Assistant Professor at Pandit Deendayal Energy University (PDEU), Gandhinagar, Gujarat, for over three years. At PDEU, Dr. Kumar played a pivotal role as Faculty-in-Charge in the development and establishment of the Centre of Excellence in Semiconductors. Earlier, he also held academic positions at NIT Delhi, VIT Bhopal, DCRUST Murthal, Sonepat, and NCU Gurugram.
Dr. Kumar received his M.Tech. in VLSI Design (Gold Medal) from NIT Kurukshetra in 2012 and his B.Tech. in Electronics and Communication Engineering from MDU Rohtak in 2010. His current research interests include Advanced VLSI Design, Nanoelectronics, and Semiconductor Technology.
Research Areas:
High-speed VLSI/ULSI Interconnects
Advanced VLSI Design (Devices, Circuits, and Systems)
Semiconductor Nanoelectronics
Novel (1D/2D/Hybrid) Semiconductor Materials
Energy-Efficient Memory Systems for Next-Gen Electronics
AI/ML applications in Semiconductor Nanoelectronics and VLSI Design
Personal Webpage Google Scholar
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. 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.
Signal Processing
