Areas of Interest: Internet of Things (IoT), Image Analysis, Machine vision, Machine learning, communication systems, Embedded System on SBCs.

Brief Profile: Dr. Paawan received Ph.D. (Engineering) from Homi Bhabha National Institute, Mumbai, M.Tech. (Communication Systems) from SVNIT, Surat and B.E. (ECE) from University of Rajasthan, Jaipur. His research area is multi-disciplinary in nature spanning applications/solution development in various domains such as signal processing, embedded systems, pattern recognition, machine vision, Artificial Intelligence. He has 3 Indian patents (published) and more than 30 publications. He has guided/co-guided 3 Ph.D. Scholars focusing on disaster management technology and smart grid analysis. He has also worked in Wipro Technologies in VLSI domain. He is Senior Member, IEEE and Member to ACM, ISSIA, IAPR.

Areas of Interest: machine learning in antenna, energy harvesting, ME-dipole, active, Reconfigurable, frequency agile microstrip antennas and microwave/millimetre wave integrated circuits and devices

Brief Profile: Ganga Prasad Pandey received B. Tech degree from KNIT Sultanpur, UP, M. E. from Delhi College of Engineering, Delhi and PhD from Uttarakhand Technical University, Dehradun. He has worked as Assistant Profesor in MAIT, Delhi for 15 years. He has published more than 35 papers in international journals of repute and more than 15 paper in international/national conferences. He has guided three PhD student and currently 2 PhD students are working under him. He is working as reviewer to several publishers like Elsevier, Springer, PIER etc.

Areas of Interest: Wireless Sensor Network, UAV Network, IoT, Remote Sensing

Brief Profile: Dr. Abhishek Joshi received his Ph.D. from BITS Pilani in 2022 in the area of UAV networks. He completed his M.E. from BITS Pilani in Embedded Systems. He did his B.E. from Pune University in Electronics and Telecommunication.

Areas of Interest: Research topics: Digital Communications, Signal Processing for Telecommunication Systems, Detection and Estimation Theory, AI &ML. Applications: 6G, Software Radio, Cognitive Radio, D2D, IoT, Telemetry, Satellite Communication.

Brief Profile: I am a passionate researcher and educator with expertise in wireless communication, digital communication, signal processing and spectrum sensing techniques. I did my postdoc research at CentraleSupelec, Universite Paris-Saclay France. I hold a PhD in Electronics and Communication Engineering from NIT Patna, India. I am a recipient of Young Scientist Award at IEEE URSI GASS Rome-2020.

Areas of Interest: Visible light Communication (VLC), LiFi, Indoor Outdoor positioning using VLC, Location-assisted Communication, Internet-of-Things (IoT), UAV Enabled Indoor VLC systems, and Intelligent reflecting surfaces, Resilient GNSS systems.

Brief Profile: I am currently serving as an Assistant Professor in the Department of Information and Communication Technology at the School of Technology, Pandit Deen Dayal Energy University in Gandhinagar, Gujarat, India. Prior to this role, I held the position of Assistant Professor (Senior Grade I) at the Vellore Institute of Information Technology (VIT) in Vellore, Tamil Nadu, India. Additionally, I am actively collaborating on the overseas FlyServ project in the United Arab Emirates (UAE) and CARNATIONS in the United States. My academic journey began with a Ph.D. in Electronics and Communication Engineering (ECE) from the Indraprastha Institute of Information Technology (IIIT) Delhi, India, in January 2023. I earned my B.Tech. degree in ECE from RGPV, Bhopal, India, graduating with honors in 2011. Subsequently, I obtained an M.Tech. degree in Digital Communication from ABV-IIITM, Gwalior, in 2014. As a proud member of the IEEE Communications Society (ComSoc), I am actively engaged in research. My interests span various areas, including indoor visible light communication (VLC), indoor positioning using LiFi, LiFi-enabled indoor flying networks (IFNs), and optical intelligent reflecting surface-aided indoor VLC systems. Additionally, I serve as a technical reviewer for several journals, including IEEE Transactions on Communications, IEEE Communications Letters, IEEE Wireless Communications Letters, IEEE Sensors Journal, and Letters.

Areas of Interest: Digital CMOS VLSI Circuits and Sub-systems, FPGA Based VLSI signal processing, VLSI architectures for high-speed computing, Verilog HDL based Implementation of Arithmetic building blocks

Brief Profile: Dr. Ankur Changela received his Ph.D. from Ahmedabad University in 2021. He has completed an M.Tech in VLSI Design from the National Institute of Technology, Surathkal, Mangalore (known as NITK). He obtained B.Tech from Shantilal Shah Engineering College, Bhavnagar University. Before joining PDEU, Dr. Ankur Changela was an assistant professor at Indus University.

Areas of Interest: mm-wave antennas, RF front-end design, transparent antennas, MIMO antennas, circularly polarized antennas, CMOS VLSI Design

Brief Profile: Arpan Desai is presently working as an Assistant Professor at Pandit Deendayal Energy University, Gandhinagar, India. Previously he was engaged as a Research Scientist in the mm-wave lab at the International College of Semiconductor Technology, National Yang-Ming Chiao Tung University, Taiwan. Before this, he held the position of Assistant Professor in the Electronics and Communication Engineering Department at Charotar University of Science and Technology, Gujarat, India. He also served as a postdoctoral fellow at Ton Duc Thang University, Ho Chi Minh, Vietnam, specializing in RF and Microwave technology. Arpan's educational background includes a B.E. in Electronics and Communication Engineering from Sardar Patel University, Gujarat, India, which was awarded in 2006. He pursued his M.Sc. Degree in Wireless Communication Systems at Brunel University, London, the United Kingdom in 2008. In January 2020, he successfully attained his Ph.D. degree in the field of Transparent Antennas. Arpan is an esteemed Senior Member of the IEEE, Vice Chair for the IEEE Signal Processing Society, Gujarat Section, India, and serves as an Associate Editor of a few referred journals. Additionally, he serves as a reviewer for numerous reputable journals. He has contributed over 80 research articles in peer-reviewed journals, conferences, and book chapters. Arpan's exceptional extensive research output underscores his standing in the top 2% of scientists worldwide based on the list curated by Stanford University.

Areas of Interest: SoC & SDR development and implementation. FPGA, Frequency channel optimization, Internet of Things,

Brief Profile: Bablu Kumar Singh Received the Bachelor of Engineering (Honors) in Electronics and Communication Engineering from University of Rajasthan, Jaipur, India, in 2008, MTech in Digital Communication from JNU Jodhpur in 2012, completed PhD from J.N.V. University, Jodhpur in 2020, He has worked as Assistant Professor in Dept. of ICT, Adani University and completed Post-Doctoral Fellow in Department of Aerospace Engineering at IIT Kanpur. He has also served as assistant professor in ECE department at JIET Group of Institution's and JECRC Jodhpur.

Areas of Interest: Machine Learning in 5G and 6G Communication, Cognitive Radio Network, MIMO, Precoder Designing, Energy Efficiency

Brief Profile: Deepak Sahu graduated in Electronics and Communication Engineering from Rajiv Gandhi Technical University, Bhopal, MP, India, in 2012. He received an M.Tech degree in Digital Communications specialization from ABV-IIITM, Gwalior, MP, India, in 2014. As a MHRD Government of India doctoral scholar, he conducted research in the Department of Electronics and Communication Engineering at PDPM Indian Institute of Technology Design and Manufacturing (IIITDM), Jabalpur, MP, India, from July 2018 to June 2023. Currently, he serves as an Assistant Professor in the Department of Information and Communication Technology (ICT) at Pandit Deendayal Energy University in Gandhinagar, Gujarat, India. During his Ph.D., he authored/co-authored three high-quality journals, four reputed IEEE conference proceedings, and one book chapter. He is a quality-focused researcher consistently publishing in top-tier international journals. In the early stages of his research career during his master’s degree, he proposed an alternate methodology to enhance system throughput of cognitive radio networks. His doctoral research aimed to minimize computation complexity in wireless communication by efficiently integrating Deep Learning technology and designing an energy-efficient precoder for the implementation of a MIMO-CRN system, aligning with the goals of beyond 5G communication. One of his Ph.D. works was awarded a fellowship for training young scientists by the MP Council of Science and Technology. During Ph.D., he also served as an organizing and committee member of the Conference on Information and Communication Technology (CICT 2018) and as a technical program committee member of the Conference on Information and Communication Technology (CICT 2022).

Areas of Interest: • Optical Fiber Communication Systems • Resource Allocation in Optical Networks • Survivability and Fragmentation Analysis in Elastic Optical Networks • Study on the impact of Linear and Non-linear Impairments in Optical Networks Her research interests also include Wireless Communications and Networks. Currently teaching Computer Communication and Networks and Basic Electronics in PDEU.

Brief Profile: Dr. Devlina Adhikari received her Ph.D. degree from IIT Kharagpur. Her primary research area is Design of Routing and Spectrum Assignment Algorithms in Elastic Optical Networks. She has published papers in reputed conferences and journals. She has attended one International Conference in Barcelona (with Financial Assistance from IITKGP) and one International Summer school in Finland (with Travel Grant from OSA) during her Ph.D.

Areas of Interest: Optimized Processor Design for SoC Embedded System Design for IoT Optimized Digital Design of Switching Network

Brief Profile: Assistant Professor in Department of ICT since July 2023. I hold a Ph.D. in Electronics and Communication Engineering from Visvesvaraya Technological University, Karnataka, and a Master of Technology in VLSI Design from Nirma University. I have worked as a Digital Design Engineer at Neurapses Technology in Bangalore. My professional background includes over nine years of teaching experience and four years of industry experience. Subject of Interests Include Digital Logic Design, Emebedded Systems, Advanced Processor Design, Microprocessors and Microcontrollers, Industry 4.0 and IoT.

Areas of Interest: Electromagnetic analysis of sub-wavelength devices

Brief Profile: Dr. Hardik Vyas earned the Doctor of Philosophy in Electrical engineering from the Indian Institute of Technology, Gandhinagar, M.Tech in Information and Communication Technology (specialization in Communication systems) from Dhirubhai Institute of Information and Communication Technology, Gandhinagar. He did his Bachelors of Engineering course in Electronics and Telecommunication engineering from Thakur College of Engineering and Technology (Mumbai University).

Areas of Interest: Financial Signal Processing, Time Series Analysis, Machine Learning and Deep Learning Applications to Financial Data Analysis and Algorithmic Trading

Brief Profile: Dr. Jigarkumar H. Shah has received B.E. degree in Electronics Engg. from B.V.M. Engineering College, Vallabh Vidyanagar in 1997. He has completed M.E.course in Electrical Engineering with specialization in Microprocessor System and Application from the M.S. Uni. of Baroda, Vadodara in 2006 and Ph.D. in Electrical Engineering from the same University in 2013. His current research areas include Financial Signal Processing, Time Series Analysis, Machine Learning and Deep Learning Applications to Financial Data Analysis and Algorithmic Trading. He was teaching faculty in Electronics and Telecommunication Engineering department of S.V.M. Institute of Technology, Bharuch from February 1998 to November 2016. Currently he is serving as an assistant professor in Information and Communication Technology (ICT) department, SOT, PDPU, Gandhinagar. He has taught various subjects related to Analog and Digital Electronics, Microprocessors, Microcontrollers and Embedded Systems, Control, Communication and Signal Processing, Optimization Techniques, Machine Learning, Time Series Data Analysis, AI in Finance. He has published several research papers in reputed International Journals and Conference Proceedings. He has authored several books related to Basic Electronics, Integrated Electronics, Digital Logic Design, Digital Signal Processing and Speech Enhancement Techniques. He is also senior member of IEEE and life member of IETE and ISTE. He has supervised one Ph D thesis in the area of Ambient Assisted Living. Also, he is currently dealing with GUJCSOT sponsored research project in the area of Ambient Assisted Living costing approximately 20 lakhs.

Areas of Interest: Wireless and Mobile Communications Signal Processing for Communications Non-line-of-sight Ultraviolet Communications Underwater Wireless Communications Cooperative Relay Communications Spatial Diversity Techniques Hybrid RF and Optical Wireless Communications

Brief Profile: Dr. Kamal K. Garg received his M.Tech. degree in signal processing from the Netaji Subhash Institute of Technology (currently NSUT), New Delhi, India, in 2002, and completed his Ph.D. from the Indian Institute of Technology Indore, India, in 2022. He presently serves as a Faculty member at Pandit Deendayal Energy University, Gandhinagar, India. With over 15 years of experience in the field of satellite mobile communications, he has contributed significantly to this industry. He also held the position of Faculty Member at the Jaypee Institute of Technology, Noida, India, from 2002 to 2007. His research interests encompass signal processing, as well as the design and performance analysis of RF and optical wireless communication systems. He is an esteemed Reviewer for prominent academic journals and conferences, including IEEE, OSA, and Optica.

Areas of Interest: Microfluidic Sensor, Early-Stage Cancer Diagnostic Sensors, Smart Walkers, Health Care Analytics

Brief Profile: Dr. Mahesh Kumar received Ph.D. (Engineering) from Manipal University Jaipur, Rajasthan, M.Tech. (Embedded Control and Software Engineering) from IIT Kharagpur, West Bengal, and B.Tech. (EEE) from Graphic Era Deemed to be University Dehradun, Uttarakhand. Dr Mahesh Kumar is currently working in Department of Information and Communication Technology at PDEU Gandhinagar, Gujarat. Dr Kumar is a multidisciplinary researcher with past experience in microfluidic sensor designing and optimization of healthcare sensors, smart walkers, robotics and automation. Dr Kumar was previously associated with Graphic Era deemed to be University as an Assistant Professor in Computer Science and Engineering. He has 2 Indian patents (published) and more than 20 published research papers in reputed international journals and conference proceedings. He is currently working in the research field of designing and development early-stage cancer diagnostic devices. Dr Kumar have been qualified GATE 2012, 2015, and 2016 and also received prestigious Dr Ramdas Pai Fellowship award from Manipal University Jaipur, Rajasthan.

Areas of Interest: Massive MIMO, Index Modulation, Cell Free Massive MIMO, Intelligent Reflecting Surfaces.

Brief Profile: I received my B.Tech degree in ECE from SASTRA University, Thanjavur, in 2011, M.E. degree in Telecommunications Engineering from IISc Bangalore in 2013, and Ph.D. in Electrical Engineering (Wireless Communications) from IIT Indore in 2017. I am currently working as an Assistant Professor in the Department of Information and Communication Technology at PDEU Gandhinagar, Gujarat. I was associated with the Department of Electronics and Telecommunication Engineering at SVKM's NMIMS (Deemed to be University) Shirpur campus, Shirpur, Maharashtra from August 2017 to June 2022. I am a technical reviewer for number of journals including IEEE Transactions on Communications, IEEE Communications Letters, IEEE Wireless Communications Letters, IEEE Access and Physical Communications (Elsevier). I received exemplary reviewer recognition from IEEE Communications Letters for the year 2017 and IEEE Transactions on Communications for the year 2020 and Best Paper award in IEEE ACTS 2020.

Areas of Interest: Nanoelectronics; Emerging Memory Devices; Neuromorphic Computing; Semiconductor Devices: Design, Fabrication and Characterization.

Brief Profile: Dr. Manoj Yadav, an Assistant Professor at PDEU, Gandhinagar, India, specializes in emerging memory technologies and their application in brain-inspired computing. He earned his Ph.D. in emerging memory devices from IIT Ropar in 2020 and during this period, he conducted valuable research at National Chiao Tung University, Taiwan for more than a year, also at IISc Bangalore and IIT Bombay. He completed his M.Tech from IIT (B.H.U.) Varanasi and B.Tech from a renowned engineering college. Prior to join PDEU, he has worked as postdoctoral research fellow at NTU Singapore and POSTECH S. Korea for more than couple of years. He has also been associated with IIT Bombay and have been reviewer of esteemed IEEE transactions, conferences and other journals.

Areas of Interest: Artificial Intelligence, Machine Learning, Physics of BioInspired Systems, BioPhotonics, Biomedical Imaging and processing

Brief Profile: Mohendra Roy received his Ph.D. in Electronics and Information Engineering from Korea University, South Korea in the year of 2016. He did his masters in BioElectronics as well as physics from Tezpur University, India in the year of 2008 and 2006 respectively. Prior to his Ph.D., he worked in Indian Oil Corporation Limited as an Engineering Assistant. He received the Korea University achievement award, IEEE student paper award, the Best paper award from the Korean BioChip Society and Gold Medal from Tezpur University. Prior to joining PDPU, he was associated with Delta-NTU corporate Lab of Nanyang Technological University Singapore. He is also playing the role of a reviewer of many reputed journals, such as Scientific Reports(by Nature), IEEE Sensors, Proceedings of IEEE, Optics Express, Journal of Tissue and cells, Biomedical Optics Express, Journal of mobile network and applications, MDPI Algorithms, MDPI Sensors. Dr. Roy also chaired the session for Computation Intelligence in Feature Analysis, Selection, and Learning in Pattern Recognition tracks at the IEEE Symposium Series on Computational Intelligence 2018. For more details please follow http://sites.google.com/view/mohendraroylab/home

Areas of Interest: Applying Artificial Intelligence, Machine Learning, Wired and Wireless Networking, Game Theory, Cooperation Theory, Optimization Techniques, Bio-Inspired Algorithms and Swarm Intelligence to solve the real-world problems related to networked systems such as IoT, Intelligent Transportation Systems, Smart Cities, Vehicular Networks, Autonomous and Connected Vehicles, etc.

Brief Profile: Dr. Nitin Singh Rajput holds a Ph.D. in Computer Science from the Birla Institute of Technology and Science Pilani (BITS, Pilani). He received the TCS Research Scholarship from TATA Consultancy Services under the TCS-RSP program to support his Ph.D. He holds an M.Tech. in Information Communication and Technology (ICT) from DAIICT Gandhinagar and B.E. in Information Technology (IT) from RGPV Bhopal. He has a rich research and teaching experience at VIT Vellore and MANIT Bhopal before joining PDEU Gandhinagar.

Areas of Interest: My research interest lies on the intersection among complementary areas like protocol design for 5G and beyond cellular networks, resource allocation in heterogeneous cellular network, power optimization, green communication, adaptive multimedia transmission over next generation cellular networks, application of graph theory, game theory and machine learning for wireless communication. Teaching interest includes Analog and Digital Communication, Optical Fiber Communication, Error Control Coding, Wireless Communication and Spread Spectrum, Circuit Analysis, Linear Integrated Circuits.

Brief Profile: Dr. Pradip Barik is an assistant professor in the department of ICT, PDEU, India. He received B.Tech in Electronics and Communication Engineering from Kalyani Govt. Engg. College and M.Tech in Communication Engineering from NITK Surathkal. He is a gold medalist from NITK surathkal. He has pursued Ph.D. from IIT kharagpur in wireless communication and Network domain. His has published several national/international conference, journal papers and book chapters. His current research includes adaptive multimedia services over next generation wireless networks, D2D and M2M communication, UAV communications, protocol design for 5G and Beyond cellular networks, and Machine Learning for wireless communications.

Areas of Interest: Biometrics, Computer Vision, Image Processing, Pattern Recognition, Artificial Intelligence, Machine Learning

Brief Profile: Dr. Ritesh Vyas received his PhD degree from National Institute of Technology Delhi in 2020. He completed his MTech and BTech degrees in ECE from YMCA University of Science & Technology (now known as JCBUST) and Kurukshetra University in 2012 and 2009, respectively. He is a Senior Member of IEEE, and a life member of IUPRAI and ISTE. He is also an Associate Fellow of Higher Education Academy (AFHEA) of United Kingdom. He has got more than 25 publications in journals and conferences of international repute. He has also visited The Hong Kong Polytechnic University (PolyU), Hong Kong, under the Research Student Attachment Programme in 2018. Before joining PDEU in September 2022, he worked as a Senior Research Associate with School of Computing and Communications, Lancaster University, United Kingdom and as Assistant Professor in Bennett University, Greater Noida. He serves as reviewer in many reputed conferences and journals like Scientific Reports (Springer Nature), TBIOM, TCSVT, PRL, Sensors, Entropy, IJCB etc. He is also serving as a guest editor in special issue of IMAVIS. His awards and honors include Doctoral Consortium Award at 10th IEEE BTAS-2019, MHRD fellowship (JRF and SRF) during PhD and GATE scholarship during MTech. He has got around 5 years of teaching and 2 years of research experiences and has delivered guest/invited lectures at various reputed venues. For more details, please visit: https://sites.google.com/view/riteshvyas

Areas of Interest: Artificial Intelligence, Machine Learning, Biomedical Signal Processing, Brain-Human Interface, EEG Data Analytics

Brief Profile: Dr.Santosh Kumar Satapathy received his Ph.D. in Computer Science and Engineering from Pondicherry University(Central University), Puducherry, India in the year 2022.He completed his M.Tech in CSE from BPUT, Rourkela, Odisha, India in 2012. He did Bachelor's degree in IT from BPUT, Rourkela, Odisha, India in the year 2009. He is also playing the role of a reviewer of many reputed journals, such as Scientific Reports(Springer Nature), Biocybernetics and Biomedical Engineering, Elsevier, Multimedia Tools and Applications, Springer, Journal of Healthcare Engineering, Hindawi, Sleep Oxford University Press, and Neuro Computing, Elsevier. He has worked as Assistant Professor in different colleges in Odisha for 8 Years. He has published his research works in various International Journals and Conferences.

Areas of Interest: AI-assisted Inverse Design, Scientific Machine Learning, Evolutionary Computing, Nanophotonics, Metaoptics, Computational Electromagnetics, Antenna Design, Time-series Data Analysis

Brief Profile: Dr. Soumyashree S. Panda has been serving as an Assistant Professor at PDEU since September 2022. He earned his Ph.D. in Electrical Engineering from IIT Gandhinagar, with research interests focusing on the inverse design of nanostructures using machine learning and evolutionary computing, nanoscale device fabrication, and optical characterization. Dr. Soumyashree holds an M.Tech from VSS University of Technology, Burla, and a B.Tech from the National Institute of Science and Technology, Brahmapur, Odisha, India. He is a member of the IEEE Photonics Society and the Optical Society of America. He has published numerous papers in leading journals in optics and photonics, and his work has been presented at major conferences in the field. In recognition of his contributions, he was awarded the prestigious Incubic Milton-Chang Travel Grant at the Conference on Lasers and Electro-Optics (CLEO) in San Jose in 2020. Additionally, he serves as a reviewer for several journals, including Scientific Reports (Nature), Optical Engineering (SPIE), and IEEE Access.

Areas of Interest: Multi-band and Wide-band Compact Antenna Design, Artificial Magnetic Conductor (AMC) Surfaces, HIS, EBG, Metamaterial Absorber, Frequency Selective surfaces

Brief Profile: Dr. Vivek Pandit is an Assistant Professor in the department of Information and Communication Technology (ICT) at PDEU, Gandhinagar, Gujarat. Dr. Pandit did his Ph.D. in the area of RF and Microwaves from IIT Kanpur. He has published his research works in various international journals and conferences. Before Joining the doctoral program at IIT Kanpur, he worked at J.U.E.T. Guna, M.P., and other reputed institutes affiliated to R.G. P. V. Bhopal. in the Electronics and Communication Engineering Department. He did his M.Tech. from DA-IICT Gandhinagar, in Information and Communication Technology and B.E. from R.G.P.V. Bhopal. He is an active member of IEEE, IEEE-APS and IEEE-MTT.

Areas of Interest: Cooperative Wireless Communication, RF-Energy Harvesting and Physical Layer Security.

Brief Profile: Dr. Kirti Kant Sharma is serving as an Ad-hoc Faculty in the Department of Information and Communication Technology at the School of Technology, Pandit Deen Dayal Energy University in Gandhinagar, Gujarat, India. He has completed his Ph.D. in the area of physical layer security in wireless communication from the Indian Institute of Technology Delhi, India, in January 2023. He obtained his M.Tech. degree in Digital Communication from ABV-IIITM, Gwalior, in 2014. He pursued B.Tech. in ECE from RKGIT, Ghaziabad affiliated with Dr. APJ AKTU, Lucknow, India. His research interests are cooperative wireless communication, RF-energy harvesting and physical layer security.

Areas of Interest: Embedded system, IoT, VLSI design

Brief Profile: Aarti Solanki is employed with PDEU as faculty. She completed her Master of Engineering from L D College of Engineering, Ahmedabad. and Bachelor of Engineering from Government Engineering College, Gandhinagar. She has made a substantial contribution to this industry. Basic electronics, Digital Electronics, Embedded systems, Micro controllers, and the Internet of Things are among the topics of her interest.

Areas of Interest: Image Processing, Remote Sensing, Deep Learning

Brief Profile: Rashmi Bhattad is currently an Ad-hoc Faculty in the Department of Information and Communication Technology at the School of Technology, Pandit Deen Dayal Energy University in Gandhinagar, Gujarat, India. She is pursuing her Ph.D. in Robust Multi-resolution change detection for remote sensing images at Gujarat Technological University, Chandkheda. She holds an M.E. degree in Computer Science and Engineering from North Maharashtra University, Jalgaon, and a B.E. in Information Technology from SGBAU, India. Rashmi has published her research in international journals and various conferences. Prior to joining the doctoral program at GTU, she worked at MMCOE, Pune. Her research interests lie in remote sensing image processing and various applications in the fields of machine learning, deep learning, and reinforcement learning.

Areas of Interest: Cyber Security, Malware Detection, Modern Web Development (MERN Stack and MEAN Stack), OWASP Top 10, Web Security

Brief Profile: Shivangi Mehta serves as a faculty member, imparting knowledge in Cyber Security, Operating Systems, Full Stack Web Development, Machine Learning and other areas of computer Science. Her expertise encompasses diverse fields, including Malware Detection, Sensitive Data Exposure, Cryptographic Failures, Web Security, Dark Web, and Web Development. She has authored insightful articles on Threat Prediction, PE Malware Detection using Ensemble Learning and the Random Forest Algorithm, Anomaly detection etc. She is passionate about technology and research, and always seeking new ways to enhance the digital landscape.