Areas of Interest: Distributed Computing, ML in Renewable Energy, Computational Data Science, Cloud Computing, Explainable & Reproducible AI

Brief Profile: Hello, I am Shakti Mishra, Associate Professor in Computer Science & Engineering Department , Pandit Deenadayal Energy University, Gandhinagar. I am also acting as Head, Department of Computer Science & Engineering, School of Technology since Dec, 2022. I have been PI/Co-PI in four projects completely funded by government organizations like, RBI, UCOST, ONGC. I am a senior IEEE member, an active member to ACM, ACM-W, IEEE-CSI and IEEE-WIE. I have a Ph.D. in High Performance Computing from MNNIT Allahabad. Beyond academics, I am a passionate traveler who loves to explore places in tranquility. I inherit my passion for writing poetry and prose from my Late Father and there are around 200 poetries penned by me till date. I strongly believe in "KARMA" and "HARD WORK" and stay grounded with a philosophy, "What counts can't always be counted; what can be counted doesn't always count"- by Albert Einstein

Areas of Interest: Algorithms, Cryptography, Remote User Authentication, information protection in general.

Brief Profile: Dr. Nishant Doshi is a faculty at the Pandit Deendayal Energy University, India since 2016. He has completed M.Tech. from DA-IICT, Gandhinagar in 2009 and Ph.D. from SVNIT, Surat in 2014. Along with active researcher, he is also reviewer in several reputed journals and conferences. He is rewarded as Young Scientist from Venus International Foundation in year 2015. He is member of IEEE, ACM, CRSI and several other societies.

Areas of Interest: Software-Defined Networking, Routing Security, Smart Ecosystems. (Currently I am looking for self-motivated Ph.D. Scholars)

Brief Profile: He has more than two decades of teaching experience at UG/PG level. After obtaining his Ph.D. degree in 2016, he conducted his postdoctoral research at Nanyang Technological University, Singapore . He pursued his Master's from Sardar Vallabhbhai National Institute of Technology, Surat and Bachelor's from Birla Vishvakarma Mahavidyalaya, V.V. Nagar. He published several papers in reputed journals and conferences. He serves as guest editor/associate editor/reviewer in several journals of international repute. He received the "Best Ph.D. Supervisor" award in 2024, and the "Pedagogical Innovation Award" in 2017 from Gujarat Technological University. He also served as a committee member in Smart Village project of Govt. of Gujarat. He is a member of the prestigious IEEE IES Technical Committee on Building Automation, Control, and Management. Profile Link: sites.google.com/site/rutvijhjhaveri

Areas of Interest: Big Data Analytics, Parallel Computing, Data Processing and Mining

Brief Profile: Dr. Samir B. Patel obtained his Ph.D. Degree from Nirma University in Computer Engineering in the month of October 2012. He has published around 75 papers of National and International Repute. He is the author of four books. Before joining PDPU, he had worked as Principal, GMFE, Sr. Associate Professor at Nirma University, Assistant Prof., Senior Lecturer at AESICS and before that as lecturer and programmer cum lecturer at CPICA and PDPICA. He has total 25 years of teaching and administrative experience. He is reviewer of various Journals of repute. His professional membership is with Computer Society of India (Life member) and ISTE (Life member). He is a Senior member of IEEE and is also a member of ACM.

Areas of Interest: Reinforcement Learning, Machine Learning, Natural Language Text Processing and Stochastic Optimization.

Brief Profile: Dr. Abhinav Sharma joined the Computer Science and Engineering Department of PDEU in January 2024. He received his PhD from IIITDM Jabalpur in 2022 in the areas of Reinforcement Learning and M.Tech. from IIT Jodhpur. Before PDEU, he worked for more than two years at Siksha O Anusandhan University Bhubaneshwar, where he taught Cloud Computing and Data Structures courses and organized several hackathons. He has published several papers in various conferences and journals.

Areas of Interest: Broadly, I work in Computational Science and Engineering, which includes the use of Mathematics and Computer Science to solve Engineering and Science problems. Specifically, I develop Machine Learning (ML) algorithms for bioinformatics and medical imaging data.

Brief Profile: I am an Assistant Professor in the Department of Computer Science and Engineering at PDEU. Earlier, I completed my Ph.D. in Computer Science and Engineering from IIT Indore under the supervision of Dr. Kapil Ahuja. Before that, I completed my Master's Degree in Computer Science and Engineering from the Government College of Engineering, Amravati, Maharashtra under Dr. Prashant Chatur.

Areas of Interest: Network Coding in Wireless Ad hoc Networks, IoT, Data Science and Machine Learning

Brief Profile: Dr. Amit Singh is an Assistant Professor in the department of Computer Science and Engineering, PDEU, Gandhinagar. He has accumulated around 19 years of experience in the field of academics and research. He has been conferred PhD degree in Computer Science from Central University of Rajasthan, Ajmer, M.Tech in Computer Science from Birla Institute of Technology, Mesra, Ranchi, and B.Tech in Computer Science and Engineering from Uttar Pradesh Technical University, Lucknow. He possesses knowledge of various computer programming languages, problem-solving and optimization techniques, and fundamental core computer science courses. His research is in the field of Wireless Ad hoc Networks, Pattern association, and meta-heuristic optimizations. He is currently working on smart and sustainable solutions for society using IoT, data science, and machine learning approaches. In the field of his interest and allied domains, he has so far published a quite good number of publications in journals and conferences.

Areas of Interest: Computational Geometry in the field of micromechanical modelling, Pattern Recognition, Character Recognition, Machine Learning.

Brief Profile: Dr. Amitava Choudhury working as assistant professor in the Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, Gujrat. He received his Ph.D. from Indian Institute of Engineering Science and Technology, Shibpur and Master of Technology from Jadavpur University, West Bengal. He has 9 years of experience in teaching and research. Prior to join PDEU, he has worked at University of Petroleum and Energy Studies, Dehradun. He serves as a reviewer of IEEE biomedical transaction and Medical and biological engineering and Computing.

Areas of Interest: Intelligent Transportation System, Machine Learning, Deep Learning, Synthetic Data Generation, Time Series Modelling, Urban Mobility, Smart City.

Brief Profile: Dr. Archana Nigam holds M.Tech in IT from IIT Roorkee and Ph.D. specializing in Intelligent Transporation Systems and Applied Deep Learning from DA-IICT Gandhinagar. With Prior affiliations at Adani University and Kaushalya The Skill University she has contributed significantly to education and skill development. She has published papers in esteemed conferences and journals. Currently serving as Chair for the IEEE Intelligent Transportation System Society in Gujarat region.

Areas of Interest: Graph Representational Learning, Privacy and Security in Online Social Networks, Machine Learning, Nature Inspired Algorithms

Brief Profile: Ashutosh Tripathi joined PDEU in July 2024. Earlier, he was associated with Siksha O Anusandhan University Bhubaneswar for 1.5 years. He has completed his PhD (CSE) from PDPM IIITDM Jabalpur. He pursued his MTech (IT) at IIIT Allahabad. He completed his Bachelors of Engineering from Oriental Institute of Science and Technology Bhopal.

Areas of Interest: Computer Vision, Internet of Things, Fog Computing

Brief Profile: Dr. Chintan Bhatt is working as an Assistant Professor in Department of Computer Science And Engineering, School of Technology, Pandit Deendayal Energy University (PDEU). Before joining PDEU, Dr. Chintan Bhatt served as an Assistant Professor in CE department (CSPIT, CHARUSAT) for 11 years. Dr. Bhatt is the author and co-author of 80+ publications. Dr. Bhatt has won several awards including "CSI Award" and "Best Paper Award" for his CSI articles and conference publications. Dr. Bhatt was involved in successful organization of few Special Issues in SCI/Scopus Journals. Visit Home page of Dr. Bhatt for more info: https://sites.google.com/view/drchintanbhatt/home/

Areas of Interest: Financial Markets, Behavioural Finance, Stock Market, Computer Programming

Brief Profile: Darshit SHAH joined as a lecturer in the Department of Mathematics at SoT, PDPU in 2010. Before this, he was visiting faculty at PDPU. He completed his Ph.D. from PDEU. He has a keen interest in innovative projects for societal wellness. he has vast experience teaching computer-related subjects to engineering students, chartered accountant students, cost accountant students and MCA students. Apart from teaching, he handles administrative work at PDPU also. He has a deep understanding of stock exchanges of India.

Areas of Interest: Machine Learning, Deep Learning, Bio-informatics, Computational Biology

Brief Profile: Dr. Davinder Paul Singh is currently working as an Assistant Professor in the Department of Computer Science and Engineering at Pandit Deendayal Energy University. He has completed his Ph.D. from Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir. He has also qualified UGC- NET JRF in computer science with All India Rank 100. He has published various articles in SCI journals and International Conferences of repute. Dr. Davinder Paul Singh has also won several best paper presentation awards including "Best Paper Award" for his CSI article.

Areas of Interest: Machine Learning, Deep Learning, Natural Language Processing, Computer Architecture, Web Programming

Brief Profile: Dr Debabrata Swain received his Ph.D. in Computer Science and Engineering from K.I.I.T. Deemed to be University, Bhubaneswar in 2020. He has a total of 10 Years of Teaching Experience. He has published more than 20 Papers in Scopus and Web of Science indexed journals and conferences. He served as a reviewer for different Journals of Springer, Elsivier and Inderscience Publisher. Before joining PDPU he has worked with V.I.T., Pune and Christ University, Lavasa.

Areas of Interest: Quantum Information and Computation, Quantum Game Theory, Quantum Machine Learning

Brief Profile: Dr. Hargeet Kaur has received her Ph.D. and M.Tech. degree from IIT Jodhpur. She joined PDEU as Assistant Professor in January 2022. Prior to joining PDEU, she served as an Assistant Professor at Adani Institute of Infrastructure and Engineering for two years. She has published several papers in various reputed journals and conferences.

Areas of Interest: My primary area of interest lies in the innovative application of Deep Learning and Machine Learning techniques to medical image analysis. This fascination stems from the potential of these technologies to revolutionize healthcare by enhancing diagnostic accuracy and patient outcomes. I am particularly drawn to developing algorithms that can effectively interpret complex medical images, enabling early detection and treatment of diseases. Within this broad domain, I am deeply invested in exploring the intersections of Computer Vision and Pattern Recognition with medical imaging. My work focuses on creating robust models that can handle the variability and complexity inherent in medical data, aiming to make these technologies more reliable and widely applicable in clinical settings. I am also keen on the integration of AI-driven solutions into medical workflows, ensuring that advancements in technology translate seamlessly into practical, user-friendly tools for healthcare professionals. Another area of interest is to apply Deep learning to various filed, such as finance, water, transportation and agriculture. I am committed to conducting research that not only pushes technical boundaries but also considers the broader impact on society, data security, and equitable access to advanced technologies. This holistic approach ensures that my contributions are not only innovative but also responsible and beneficial to society at large. I am continuously seeking collaborative opportunities to work on interdisciplinary projects that can leverage my expertise in Deep Learning and Machine Learning. By engaging with other experts in the field, I aim to drive forward the development of AI technologies that can make a tangible difference in the lives of people and the efficiency of better systems worldwide.

Brief Profile: I am a dedicated and passionate Computer Engineer with a Ph.D. from SVNIT, Surat, boasting over 9 years of experience. My focus in develop a Deep Learning methodologies for solve a real life problems. My career is marked by significant achievements, including a Gold Medal and multiple excellence awards, highlighting my commitment to academic and professional excellence. I have a proven track record of presenting cutting-edge research at esteemed conferences and publishing in high-impact journals, thereby contributing innovative approaches to the fields of Deep Learning, Machine Learning, Medical Imaging, Computer Vision, and Pattern Recognition. My research journey is further distinguished by the prestigious travel grant awarded by CSIR to attend the EBMC 2022 international conference, underscoring my active engagement in the global research community. My professional ethos is driven by a desire to advance the boundaries of Deep Learning and make substantive contributions to its evolution, continually seeking collaborative opportunities to push the envelope in this dynamic field. Beyond my technical expertise, I am recognized for my interpersonal skills and positive outlook, which enable me to thrive in fast-paced, collaborative environments. My ability to stay focused and productive under challenging circumstances, combined with a strong passion for applying innovative ideas to real-world problems. I am always eager to embrace new challenges and confident that my blend of skills and experience will contribute significantly to the growth and development of any team or project I am part of.

Areas of Interest: Applied Machine Learning, Healthcare Data Analysis, Cloud Resource Management, and Opinion Feature Mining.

Brief Profile: Dr. Hiren Kumar Thakkar has received his M.Tech in CSE from IIIT Bhubaneswar, India in 2012 and a Ph.D degree from Chang Gung University, Taiwan in 2018. Later, he worked as a postdoctoral fellow at Motor Behavioral Research Lab (MBRL), Chang Gung University, Taiwan. Before joining PDEU, he has worked as an Associate Professor at Nirma University, Ahmedabad. His Research Interest include Healthcare Data Analysis, Cloud Resource Management, and Opinion Feature Mining. He has published several SCI research papers in peer reviewed journals such as IEEE Transactions in Parallel and Distributed Systems, IEEE Sensors, IEEE Journal on Selected Areas in Communications, Information Processing and Management, Elsevier. He is a member of IEEE.

Areas of Interest: Blockchain Technology, Information Security, Data Structures, Smart Grid.

Brief Profile: Prior to joining PDPU, Dr. Kaushal Shah was serving at Vellore Institute of Technology, Amaravati as an Assistant Professor Sr. Grade 1. He did his PhD from Sardar Vallabhbhai National Institute of Technology, Surat.

Areas of Interest: Internet of Things, Wireless Sensor Networks, Mobile Ad-hoc Networks, and Swarm Intelligence

Brief Profile: I am working as an Assistant Professor in the Department of Computer Science and Engineering at PDEU. I have completed my Ph.D. in Computer Science and Engineering from National Institute of Technology Goa in 2022 under the guidance of Dr. S. Mini. Also, I completed my M. Tech in Computer Science and Engineering from Department of Computer Science and Engineering, National Institute of Technology Goa in 2016

Areas of Interest: Software-Defined Networks, Distributed Networks, Wireless Networks, Algorithms

Brief Profile: Dr. Manish Paliwal has received his Ph.D. from Visvesvaraya National Institute of Technology, Nagpur in 2021. He joined the PDPU as Assistant Professor in December 2021. Prior to joining the PDPU, he was serving as Assistant Professor in SVKM's NMIMS Shirpur Campus.

Areas of Interest: Image Processing, Perceptual Visual Processing, Deep Learning

Brief Profile: I am Meera Thapar Khanna, working as an Assistant Professor in Computer Science and Engineering department, Pandit Deendayal Energy University, Gandhinagar. I have received my PhD degree in the area of image processing from Indian Institute of Technology Delhi in 2020. Prior to joining PDEU, I worked as a Project Associate in IIT Delhi. I also worked as an Assistant Professor in LLRIET, Moga for six years. I have publications in reputed journals and conferences.

Areas of Interest: Machine learning, Deep Learning, Cognitive computing, Neuroscience

Brief Profile: Dr Nandini Modi is working as an Assistant Professor in the Department of Computer Science and Engineering at Pandit Deendayal Energy University. She has completed her Ph.D. in CSE from Chitkara University, Punjab. She has over 5 years of experience in Research and Academics. Her research interest includes machine learning and deep learning technologies in cognitive and human-computer interactive applications. She has published various articles in reputed SCI journals and International conferences. She is an active reviewer of many journals including IEEE Transactions, Journal of Retailing and Consumer Services and other reputed journals.

Areas of Interest: Information Security, Network Security, Cryptography, Web Technology, Java programming,

Brief Profile: Dr. Payal Chaudhari has received her Ph.D. degree from DA-IICT, Gandhinagar, India in 2018. She is with PDPU from 2019. Before joining PDPU, she had worked as an Assistant Professor, Lecturer at LDRP-ITR, Gandhinagar. She has published a number of papers in various national and International conferences and in International journal. Currently she is working in the area of cloud security and security in IoT.

Areas of Interest: Oceanography, Digital Image Processing, Digital Forensics, cyber security, IDS, Hardware Software Co-Design

Brief Profile: Dr. Pooja Shah is working as Assistant Professor in the Department of Computer Science and Engineering. She has an academic experience of more than 17 years. She has done her doctoral studies in the field of Oceanography, specifically for oil spill detection from ocean surface from Synthetic Aperture Radar data. She has volunteered as faculty advisor for IEEE-SB for over seven years and is actively involved in student activities. Her area of specialization is computer aided oceanography. Her research interests include Information Security, Digital Image Processing, Digital Forensics and Hardware Software Codesign. She has worked as PI and Co-PI in three major research projects funded by Space Application Center, ISRO. She is currently active in the domain of Image Processing for Medical Applications.

Areas of Interest: Cloud Optimization, FOG, EDGE, IoT, Optimization

Brief Profile: Dr. Punit Gupta has completed Post-Doctoral Researcher at University College Dublin, Ireland. He received B.Tech. Degree in Computer Science and Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Madhya Pradesh in 2010. He received M.Tech. Degree in Computer Science and Engineering from Jaypee Institute of Information Technology (Deemed University) in 2012 On "Trust Management in Cloud computing". He is a Gold Medalist in M-Tech. He has been awarded doctoral degree in Feb 2017.

Areas of Interest: Machine Learning, Deep Learning, AI, Cloud Computing, Explainable AI (XAI)

Brief Profile: Dr. Rajeev Kumar Gupta working as an Assistant Professor at Pandit Deendayal Energy University. He has received his M.Tech and Ph.D. from MANIT, Bhopal in 2011 and 2016 respectively. He has published more than 25 referred articles in various book chapters. conferences and peer-reviewed journals.

Areas of Interest: He work at the intersection of Computer Science and Mathematics to solve engineering problems. Specifically, he has research interests as follows: Computational Optimization, Numerical linear algebra, Model Order Reduction, Discrete Mathematics, Theory of computation, and Algorithms.

Brief Profile: Currently, Dr. Rajendra Choudhary is an assistant professor at PDEU, Gandhinagar in Department of Computer Science & Engineering. Prior to this, he was an assistant professor in SCSET at Bennett University, Greater Noida. Earlier, he was working as a Postdoctoral researcher at Leibniz University Hannover, Germany. He obtained his Ph.D. in Computer Science & Engineering from IIT Indore (India), under the supervision of Prof. Dr. Kapil Ahuja, and M.Tech (IT-Robotics) from IIIT Allahabad (India) under the supervision of Prof. Dr. Ramji lal and Dr. Pavan Chakraborty.

Areas of Interest: His current research interests are Medical Image Processing, Medical Image diagnosis by Deep Learning, Machine Learning, Computer Vision, Quantum Computing, Quantum Machine Learning etc.

Brief Profile: Dr. Santanu Roy earned his Ph.D degree in Medical Image processing from NITK Surathkal, in 2021. He is a Deep Learning enthusiast and currently serving as an assistant professor in the Department of Computer Science and Engineering at PDEU, Gandhinagar, India. He received the best paper presentation award from a core-ranking conference ICMV'22, held in Rome, Italy. His extensive research output includes numerous papers published in high-impact Q1 journals and core-ranking conference papers (including ICPR, ACM SIGAPP, ICMV). He actively reviews for notable journals including IEEE Transactions on Medical Imaging, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Multimedia, and Scientific Reports (Nature) etc. He obtained his M.Tech degree from the Dhirubhai Ambani Institute of Information & Communication Technology (DA-IICT), in ICT. He completed his B.Tech degree in ECE from WBUT, Kolkata. For further details, please visit his LinkedIn profile: https://www.linkedin.com/in/santanu-roy-ph-d-83a561161/

Areas of Interest: His research interest includes Natural Language Processing, Social Computing, Sentiment Analysis, etc.

Brief Profile: Santosh Kumar Bharti received B. E degree in CSE from VisvesvarayaTechnological University Belgaum, Karnataka, India, and M. Tech.in CSE from Graphic Era University, Dehradun, India. He has completed his Ph.D.(CSE) from the National Institute of Technology Rourkela India in April 2019. He has worked as Assistant Profesor in SCET, Palwal, Haryana. Currently, he is working as an Assistant Professor in the Department of Computer Science and Engineering at the School of Technology of Pandit Deendayal Petroleum University, Gandhinagar Gujarat. He has published more than 25 research papers in repute journals and conferences.

Areas of Interest: Document Image Analysis, Intelligent Forensic, Data Analytics, Deep Learning

Brief Profile: Dr. Shilpa Pandey has completed her PhD. in the area of Computer Vision and Machine Learning from IIT Jodhpur in 2019. She joined PDPU as Assistant Professor in 2022 in CSE department. Prior to join PDPU, she served Adani University (AIIE) as Assistant Professor for three years. She has published several papers in various reputed journals and conferences. She is an active reviewer in the field of image processing and machine learning for various conferences and journals.

Areas of Interest: Advanced Algorithms, Machine Learning, Internet of Things, Language Processors

Brief Profile: Dr. Shivangi K. Surati has received her Ph.D. degree from Sardar Vallabhbhai National Institute of Technology, Surat in September 2017. She has 18 years of experience in teaching, research and administration. She has published several papers in the reputed National/International journals and conferences. She has a lifetime member of CSI and ISTE.

Areas of Interest: Image Processing, Natural Language Processing, Artificial Intelligence, Machine Learning, Medical Imaging, IOT

Brief Profile: Sidheswar Routray is currently working as an Assistant Professor in the Department of Computer Science and Engineering, School of Technology, PDEU. He received his B.Tech and M.Tech degrees from Biju Patnaik University of Technology, Rourkela, India, and his Ph.D. degree from KIIT University (Institute of Eminence), Bhubaneswar, India. He was a Postdoctoral Research Fellow at the School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China, under the China Postdoctoral Science Foundation. Before joining PDEU, he worked as an Associate Professor in the Department of Computer Science and Engineering and served as Dean of the School of Engineering at Indrashil University. He has 13 years of teaching and research experience in top-ranked educational institutions. He has also worked as a remote researcher at Zhejiang Lab, Zhejiang University, China. He has published over 54 research papers in SCI and Scopus-indexed journals and conferences and holds two German patents. He is an active member of technical program committees for leading international conferences such as CCGRID 2023, SPIN 2023, and ICIICC 2022. He has served as Lead Guest Editor for the IEEE Journal of Biomedical and Health Informatics and as a reviewer for various top-ranked journals, including IEEE JBHI, IEEE IoT, IEEE Access, IEEE Transactions on Consumer Electronics, IEEE Transactions on Industrial Technology, Sustainability, and Sensors.

Areas of Interest: My research interests are in the area of computer vision, machine learning, deep learning and image processing.

Brief Profile: Dr. Sonam Nahar is working as an Assistant Professor at SOT, PDEU Gandhinagar. She completed her PhD from Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar. She is having around 8 years of teaching experience with 1 year post doctoral research experience.

Areas of Interest: Speech Processing, Speech Prosody, Pitch contour analysis for under-resourced languages, Acoustic-phonetics, Blockchain Engineering

Brief Profile: Dr. Tanmay Bhowmik is associated with PDEU as an Assistant Professor in the Department of Computer Science and Engineering. He completed his Ph.D. from Indian Institute of Technology Kharagpur. His area of interest is Speech Processing. Prior to joining PDEU, he was employed with Bennett University (The Times Group), Greater Noida and University of Petroleum and Energy Studies, Dehradun.

Areas of Interest: Explainable AI (XAI), Natural Language Processing, Deep learning and Federated learning in Healthcare.

Brief Profile: Dr. Yogesh Kumar is working as an Assistant Professor-CSE at Pandit Deendayal Energy University. He has done his Ph.D. in CSE from Punjabi University, Patiala. Before this, He had done his MTech in CSE from Punjabi University, Patiala. He has a total 15 years of experience, including teaching and research. His research interest include the machine and deep learning techniques in Healthcare and Speech Technology. He has published various articles in reputed SCI journals and International Conferences. He is an active reviewer and reviewed many articles for ACM Transection, IEEE Access, Springer, and other reputed journals.

Areas of Interest: Cyber Security, Digital Forensics, Cryptography.

Brief Profile: Aashka Raval is a respected faculty member who specializes in cyber security and digital forensics. With a strong academic background and considerable industry experience, she excels in educating aspiring cybersecurity experts. Aashka's expertise includes threat analysis, ethical hacking, incident response, and forensic investigation. She is committed to providing students with practical knowledge through hands-on training and real-world case studies, ensuring they are well-prepared for the dynamic profession of cybersecurity. Aashka's research achievements and active participation in cybersecurity organizations demonstrate her dedication to developing the field and promoting a safe digital world.

Areas of Interest: Web Technology, Software Engineering, Machine Learning.

Brief Profile: I am Komal Singh, currently serving as a faculty member in the Computer Science & Engineering Department at PDEU. I earned my BE in Computer Engineering from LDRP-ITR Gandhinagar in 2020 and my ME in Software Engineering from Monark University in 2023. I have industrial experience as a Web Developer at Prismatic Company and have also worked as a Lecturer in the Computer Engineering Department at Shree Swaminarayan Polytechnic Gandhinagar.

Areas of Interest: Image Processing Deep Learning Software Engineering

Brief Profile: Myself, Krishna Brahmbhatt have completed my B.E. in Computer Science from SVIT, Vasad. Further, I completed my M.E in Information Technology from L.D. College of Engineering,Ahemdabad.

Areas of Interest: Machine Learning, Image Processing, Artificial Intelligence

Brief Profile: I am Ritiksha Modi working as Adhoc Faculty in PDEU. I have done my M.tech in information technology in 2019 From CHARUSAT. I worked with Bombay Softwares Company as Android developer, I also worked with CHARUSAT as Assistant professor in IT Dept, Kheda.

Areas of Interest: AI in Energy Multivariate Forecasting with Predictive Modeling AI in Surveillance and Healthcare using Computer Vision AI in Metaverse

Brief Profile: I am Soham Vyas working as Adhoc Faculty in PDEU. I have done my BE-Computer Engineering in 2019 from LDRP-ITR, Gandhinagar. I have experience of Site Reliability Engineer at TCS, Gandhinagar. After that I have done my Masters with Data science in PDEU with Gold Medal, Gandhinagar. I have been in L&T Technology Services as an AI Intern with project of AI in Metaverse.