Mohitkumar Bhadla | Computer Science & Engineering | Best Researcher Award

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Assoc. Prof. Dr. Mohitkumar Bhadla | Computer Science & Engineering | Best Researcher Award

Associate Professor & HOD at Gandhinagar University, Gujarat, India

Dr. Mohit Bhadla is a dedicated academician and researcher with over 16 years of experience in the field of Computer Engineering and Information Technology. He currently serves as the Head of the Department and Professor at Gandhinagar University, Gandhinagar. Throughout his career, Dr. Bhadla has contributed significantly to research and education, focusing on emerging technologies, software development, and network security. His expertise extends to mentoring students, developing innovative research methodologies, and enhancing academic curricula. Passionate about advancing technological education, he actively participates in conferences, workshops, and international collaborations to further his knowledge and contribute to the global research community.

Profile

Orcid

Education

Dr. Mohit Bhadla earned his Ph.D. in Computer Engineering from Rai University, Ahmedabad, in 2019. Prior to that, he completed his Master of Engineering (M.E.) in Computer Engineering from Noble Group of Institutions, Junagadh, affiliated with Gujarat Technological University in 2013. He holds a Bachelor of Engineering (B.E.) degree in Computer Science and Engineering from Anuradha Engineering College, Chikhali, Maharashtra, which he obtained in 2009. His strong academic foundation has equipped him with the necessary skills to excel in both research and teaching domains.

Professional Experience

Dr. Bhadla has held several prestigious academic positions throughout his career. Since July 2024, he has been serving as the Head of the Department and Professor at Gandhinagar University, where he oversees research initiatives and academic programs. Prior to this, he was the Associate Professor and Dean of Research Cell at Swarnim Startup & Innovation University from August 2023 to July 2024, where he played a crucial role in research-led teaching and curriculum development. From September 2019 to August 2023, he worked as an Associate Professor and Head of the IT Department at Ahmedabad Institute of Technology. His earlier academic roles include serving as an Assistant Professor at Gandhinagar Institute of Technology and Noble Group of Institutions. In addition to his academic career, he has industry experience as a Support Engineer at Mindarray Systems Ltd from 2016 to 2017 and as a Programme Assistant at RTO Junagadh from 2009 to 2012.

Research Interests

Dr. Bhadla’s research focuses on artificial intelligence, machine learning, Internet of Things (IoT), network security, and biomedical applications. His work involves developing efficient algorithms for intrusion detection, biomedical imaging, data security, and optimizing power consumption in wireless sensor networks. He has also explored applications of deep learning in healthcare and social network analysis. His contributions to research have been recognized through various publications in reputed journals and conference proceedings. He is an active member of professional organizations such as IEEE, ACM, and IFERP, contributing to research discussions and technological advancements.

Awards and Achievements

Dr. Mohit Bhadla has received numerous accolades for his outstanding contributions to research and academia. In 2022, he was honored with the Best Researcher Award by INSO Bangalore. He was also recognized with the Best Young Researcher Award in the International Research Awards on New Science Invention in Fiber Optics & Communication in 2022. His innovative work in IoT and networking has led to multiple patents, including a patent for “An IoT-Based Sensor Network for Smart City Implementations” granted by the Government of Australia. Additionally, he has received invitations as a featured speaker at international conferences, including the Peers Alley Conference in London. His contributions to software malware detection and wireless sensor networks have been widely acknowledged in the research community.

Selected Publications

An Intelligent IoT Intrusion Detection System using HeInit-WGAN and SSO-BNM CNN-Based Multivariate Feature Analysis (2023) – Published in Elsevier: Engineering Application of Artificial Intelligence.

Enhanced Ubiquitous System Architecture for Securing Healthcare IoT using Efficient Authentication and Encryption (2023) – Published in International Journal of Data Science and Analytics.

Multi-Stage Biomedical Feature Selection Extraction Algorithm for Cancer Detection (2023) – Published in Springer Nature: Applied Science.

Semantic Analysis for Image Distribution of Various Edge Detection Techniques (2022) – Published in IJRAR (UGC Approved).

Deep Learning-Based Dynamic User Alignment in Social Networks (2023) – Published in ACM JDIQ (Scopus Indexed).

Execution of Hard C-Means Clustering Algorithm for Medical Image Separation (2022) – Published in IJRAR (UGC Approved).

A Survey of Intrusion and Detection Models on Network and Communication Topologies (2023) – Published in UGC Approved Journal.

Conclusion

Dr. Mohit Bhadla is a distinguished academician, researcher, and mentor in the field of Computer Engineering. His extensive contributions to research, innovative curriculum development, and passion for teaching have significantly impacted students and fellow researchers. With multiple patents, high-impact publications, and international recognition, he continues to drive advancements in artificial intelligence, IoT, and network security. His commitment to excellence and knowledge dissemination makes him a valuable asset to the academic and research community, inspiring future generations of scholars and professionals.

Maura Mengoni | Extended Reality | Best Researcher Award

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Prof. Maura Mengoni | Extended Reality | Best Researcher Award

Associate Professor at Polytechnic University of Marche, Italy

Maura Mengoni is an Associate Professor at the Polytechnic University of Marche, where she has been a faculty member since 2012. With a strong background in mechanical engineering and artificial intelligence applications, she has played a significant role in bridging engineering design with digital innovation. She is actively involved in research collaborations across Europe, focusing on AI-driven technologies for industrial and cultural heritage applications. Mengoni has also served on various academic boards and commissions, reflecting her dedication to both research and institutional development.

Profile

Orcid

Education

Maura Mengoni obtained her Master’s degree in Building and Architecture Engineering, followed by a Ph.D. in Mechanical Engineering. Her academic journey has been characterized by a strong emphasis on interdisciplinary research, integrating AI, virtual prototyping, and smart manufacturing solutions. In 2016, she was qualified as a Full Professor, further cementing her role as a leader in her field. Her educational background has provided her with the technical and analytical skills necessary to contribute to cutting-edge research and innovation projects.

Experience

Mengoni has extensive experience in both academic and industrial research. She has served as a consultant for Indesit Company S.p.A. and has been involved in multiple European and national projects, working closely with businesses and research centers. She was a managing board member of Hyperlean and the president of EMOJ Spin-offs, a pioneering AI tech company in Europe. Additionally, she has been instrumental in various leadership roles, including serving as a coordinator and delegate for numerous academic initiatives related to engineering and digital transformation.

Research Interests

Her research primarily focuses on artificial intelligence, virtual prototyping, and human-centric design. She has contributed significantly to projects exploring AI-driven manufacturing systems, digital twin applications, and interactive virtual reality environments. Mengoni is particularly interested in the integration of smart perception sensors and distributed intelligence for applications in healthcare, cultural heritage, and automotive industries. Her work aims to enhance the efficiency and adaptability of industrial processes while improving user experience through innovative digital solutions.

Awards

Mengoni has received several awards and recognitions for her contributions to engineering research and AI applications. She has been acknowledged for her work in AI-driven manufacturing solutions and has played a crucial role in advancing gender equality initiatives within her institution. Her involvement in high-impact research projects has also earned her recognition at both national and international levels, solidifying her reputation as a thought leader in her field.

Publications

Mengoni, M., et al. (2022). “AI-based Digital Twin for Smart Manufacturing.” International Journal of Advanced Manufacturing Technology. Cited by 75 articles.

Mengoni, M., et al. (2021). “Human-Centered Virtual Prototyping for Industrial Applications.” Computers & Industrial Engineering. Cited by 60 articles.

Mengoni, M., et al. (2020). “Integration of AI and IoT for Smart Factories.” Journal of Manufacturing Systems. Cited by 55 articles.

Mengoni, M., et al. (2019). “Augmented Reality in Cultural Heritage Preservation.” Journal of Cultural Heritage Management. Cited by 40 articles.

Mengoni, M., et al. (2018). “Adaptive Human-Machine Interfaces in Industrial Automation.” Robotics and Computer-Integrated Manufacturing. Cited by 35 articles.

Mengoni, M., et al. (2017). “A Multi-sensor Approach for Proactive Monitoring in Healthcare.” Sensors Journal. Cited by 30 articles.

Mengoni, M., et al. (2016). “Digital Prototyping for Sustainable Product Development.” Journal of Engineering Design. Cited by 25 articles.

Conclusion

Maura Mengoni has established herself as a prominent researcher and innovator in the fields of AI, virtual prototyping, and digital manufacturing. Her extensive academic and industrial collaborations, coupled with her leadership roles in research projects, highlight her commitment to advancing technological solutions for industrial and societal challenges. As an advocate for interdisciplinary research and gender equality in STEM, Mengoni continues to influence the future of engineering and AI applications.

Mojtaba Noorallahzadeh | Computer Science | Best Researcher Award

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Dr. Mojtaba Noorallahzadeh | Computer Science | Best Researcher Award

Quantum Computing | Islamic Azad Uinversity | Iran

Mojtaba Noorallahzadeh is a PhD candidate in Computer Engineering specializing in Computer Architecture at the Islamic Azad University, Dezful, Iran. Renowned for his contributions to quantum computing and reversible logic design, he has authored multiple high-impact publications and serves as a reviewer and technical committee member for prestigious journals and conferences. With a strong academic and professional background, his research interests span quantum circuits, nano-electronics, FPGA, and ASIC design.

Profile

Scopus

Education

Mojtaba earned his Bachelor’s degree in Computer Engineering with a focus on software from the University of Applied Science, Iran, in 2013. His thesis explored FPGA placement and routing algorithms. In 2018, he completed his Master’s degree at Islamic Azad University, Dezful, excelling in designing reversible memories for quantum systems. His PhD research, initiated in 2024, centers on reversible quantum circuits, further consolidating his expertise in the domain.

Experience

Mojtaba has served as an instructor at Islamic Azad University, teaching courses like Operating Systems, Data Structures, and Digital Systems Design. His professional engagements include membership in technical committees and collaboration with international conferences like ICICE and ICSC. He is also associated with prominent organizations such as Kadir Has University, Turkey, and the Materials and Energy Research Centre, Iran.

Research Interests

Mojtaba’s research interests encompass quantum computing, reversible logic, and quantum dot-cellular automata (QCA). He has also contributed to fields like nano-electronics, computer architecture, FPGA, and ASIC design. His innovative work addresses challenges in energy-efficient and low-cost quantum circuit designs, targeting applications in IoT and nano-scale computing systems.

Awards

Mojtaba has been recognized for his academic excellence, including securing the first position among MSc graduates in 2018 with a score of 18.96/20. His research contributions have also been acknowledged with scholarships and invitations to participate in high-profile conferences and committees.

Publications

  1. 2024 – Ahmadpour, S.S., Noorallahzadeh, M., et al. A new energy-efficient design for quantum-based multiplier for nano-scale devices in IoT. Computers and Electrical Engineering.
  2. 2023 – Noorallahzadeh, M., Mosleh, K., et al. A new design of parity-preserving reversible multipliers based on Toffoli synthesis. Frontiers of Computer Science.
  3. 2023 – Noorallahzadeh, M., et al. A novel design of reversible quantum multiplier for quantum circuits. Quantum Information Processing.
  4. 2021 – Noorallahzadeh, M., et al. Efficient designs of reversible synchronous counters in nano-scale. Circuits, Systems, and Signal Processing.
  5. 2021 – Noorallahzadeh, M., et al. Efficient designs of reversible shift register circuits. Journal of Circuits, Systems, and Computers.
  6. 2020 – Noorallahzadeh, M., et al. Parity-preserving reversible flip-flops with low quantum cost. Journal of Supercomputing.
  7. 2019 – Noorallahzadeh, M., et al. Efficient designs of reversible latches with low quantum cost. IET Circuits, Devices & Systems.

These publications have been cited widely, contributing to an h-index of 7 and an i-10 index of 4.

Conclusion

Mojtaba Noorallahzadeh exemplifies academic excellence and innovation in quantum computing and related fields. His dedication to advancing research through teaching, publications, and collaborations positions him as a leading scholar in his domain.