Regner Sabillon | Computer Science | Best Researcher Award

Prof. Regner Sabillon | Computer Science | Best Researcher Award

UNIR | Canada

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🌱 Early Academic Pursuits

Prof. Regner Sabillon's academic journey began with a foundation in aeronautics and aviation, sparking his early interest in technology and systems. Starting with a Bachelor of Science in Aeronautical Sciences from the Universidad de Defensa de Honduras, he laid the groundwork for a career that would span multiple domains. His educational path broadened as he pursued another bachelor's degree in Computer Science at the Universidad de San Pedro Sula, allowing him to pivot towards the growing field of computing and technology. These studies ultimately evolved into a deeper engagement with knowledge systems, leading to a Master’s degree from Universitat Oberta de Catalunya in Knowledge and Information Society and later, an MBA in Information Technology from Universidad Politécnica de Madrid. Currently, he is a PhD candidate in Computer Science at Universidad Internacional de La Rioja, aiming to solidify his expertise in advanced computing.

💼 Professional Endeavors

Prof. Sabillon’s career spans over three decades across diverse roles and sectors. From his early service as a fighter pilot in the Honduran Air Force, he transitioned to civilian roles, emphasizing IT, cybersecurity, and academia. As a Lead Cybersecurity Professor and Analyst at the Southern Alberta Institute of Technology (SAIT), and an Academic Expert at Athabasca University, he shares his expertise in computer science and cybersecurity. He also serves as a Lead Consultant for ICARUS IT Solutions, bringing his insight to the private sector. His positions reflect a unique blend of military discipline, technical acumen, and academic mentorship, making him a valuable asset across institutions and industries.

📚 Contributions and Research Focus

Prof. Sabillon is deeply committed to advancing the field of cybersecurity. His work as a certified Cybersecurity Analyst and IT professional has led him to focus on data protection, information security, and network architecture. His research and teaching have impacted areas like risk management, privacy solutions, and the governance of enterprise IT systems. Additionally, his certifications, including Cisco’s CyberOps Associate, Certified Data Privacy Solutions Engineer (CDPSE), and ISO/IEC 27032, highlight his dedication to staying at the forefront of the ever-evolving cybersecurity landscape.

🏆 Accolades and Recognition

Throughout his career, Prof. Sabillon has earned multiple certifications and recognitions that attest to his expertise. His qualifications from international bodies, including ISACA, IATA, and the International Civil Aviation Organization, underscore his extensive experience and the high regard in which his peers hold him. His certifications as an IT administrator, cybersecurity manager, and data privacy engineer place him among an elite group of professionals capable of addressing complex security challenges in both public and private sectors.

🌍 Impact and Influence

Prof. Sabillon’s impact is far-reaching, particularly in the realms of IT education and cybersecurity. His role as a bilingual examiner for Industry Canada and as an academic expert has helped mold future generations of IT professionals. His work influences students, industry stakeholders, and government bodies, bridging critical gaps in cybersecurity knowledge and practice.

🏅 Legacy and Future Contributions

As Prof. Sabillon continues his doctoral studies, he is poised to make further contributions to both cybersecurity theory and practice. His combined experience in the military, academia, and the IT industry uniquely positions him to lead groundbreaking research and innovation in cybersecurity. His legacy will likely include pioneering strategies for data protection and a new generation of cybersecurity professionals trained under his guidance. His future work promises to address pressing global challenges in information security, leaving a lasting impact on the field and beyond.

 

Publications


📄 "Assessing the Effectiveness of Cyber Domain Controls When Conducting Cybersecurity Audits: Insights from Higher Education Institutions in Canada"

  • Author: Sabillon, R., Higuera, J.R.B., Cano, J., Higuera, J.B., Montalvo, J.A.S.
  • Journal: Electronics (Switzerland)
  • Year: 2024

📄  "Planning and Conducting Cybersecurity Audits to Assess the Effectiveness of Controls"

  • Author: Sabillon, R., Barr, M.
  • Conference: SysCon 2024 - 18th Annual IEEE International Systems Conference
  • Year: 2024

📄  "The Importance of Cybersecurity Awareness Training in the Aviation Industry for Early Detection of Cyberthreats and Vulnerabilities"

  • Author: Sabillon, R., Bermejo Higuera, J.R.
  • Series: Lecture Notes in Computer Science (including Lecture Notes in Artificial Intelligence and Bioinformatics)
  • Year: 2023

📄  "New Validation of a Cybersecurity Model to Audit the Cybersecurity Program in a Canadian Higher Education Institution"

  • Author: Sabillon, R., Bermejo Higuera, J.R.
  • Conference: 2023 Conference on Information Communications Technology and Society (ICTAS)
  • Year: 2023

📄  "Delivering Effective Cybersecurity Awareness Training to Support the Organizational Information Security Function"

  • Author: Sabillon, R.
  • Book: Research Anthology on Privatizing and Securing Data
  • Year: 2021

 

Massimo Bertaccini | Computer Science | Best Innovation Award

Dr. Massimo Bertaccini | Computer Science | Best Innovation Award

Cryptolab Inc | United States

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Early Academic Pursuits 🎓

Dr. Massimo Bertaccini's journey into cryptography and cybersecurity began with a strong foundation in finance and mathematics. He obtained his Bachelor’s degree in Science of Finance from the University of Bologna, where he developed an early interest in computational finance and its applications. This passion led him to pursue a Ph.D. in Mathematics and Computational Finance, further honing his skills in cryptographic algorithms and secure data management techniques. Through advanced studies, he acquired a robust technical background that later shaped his career in cyber innovation and cryptographic research.

Professional Endeavors 🚀

Dr. Bertaccini has made significant strides in the field of cryptography. In 2009, he founded Cryptolab, a research laboratory focused on pioneering solutions in cryptography, blockchain, and cybersecurity. His innovative leadership at Cryptolab attracted substantial financial backing from private investors, international venture capitalists, and the European Union. Under his guidance, Cryptolab earned recognition as one of the best cybersecurity start-ups in California in 2023. Dr. Bertaccini also served as CEO for PrimeCash, contributing to his reputation as an expert in both cybersecurity and cryptographic finance. His experience includes consulting in finance and security, holding academic roles, and serving as a contract professor at EMUNI University and a lecturer in national cybersecurity programs.

Contributions and Research Focus 📚

Throughout his career, Dr. Bertaccini has focused on advancements in cryptographic algorithms and secure data systems. His groundbreaking work led to the development of the first Homomorphic Crypto-Searching-Engine (CSE), a revolutionary tool that allows encrypted data to be searched without compromising security or privacy. His research interests encompass areas such as symmetric and asymmetric encryption, blockchain, zero-knowledge protocols, and quantum cryptography. He holds several patents, including those in homomorphic encryption, zero-knowledge protocols, and innovative brain-wave authentication technologies. In addition, he is a published author of numerous scientific articles and has written the popular book Cryptography Algorithms, which has been widely recognized in cryptographic literature.

Accolades and Recognition 🏆

Dr. Bertaccini’s pioneering contributions have been celebrated globally. His book Cryptography Algorithms became a #1 bestseller on Amazon Worldwide in 2022, staying in the top 10 for cryptography literature for 40 weeks. He has received numerous prestigious awards, including the "Inventors of Silicon Valley" award by the U.S. Patent and Trademark Office in 2016 and the "Seal of Excellence" by Horizon 2020 in 2017, 2018, and 2019. In 2023, he was honored with the American Innovation Prize by the Italian-American Foundation, further cementing his status as a leading figure in the field.

Impact and Influence 🌐

Dr. Bertaccini has had a profound impact on the fields of cybersecurity and cryptography. His innovations have set new standards for data security, influencing policies on GDPR compliance and data privacy. His Homomorphic Crypto-Searching-Engine has inspired advancements in data encryption, particularly for GDPR-compliant technologies. Through his international speaking engagements at conferences like CES Las Vegas, he has shared his insights on cybersecurity trends and cryptographic solutions, shaping the future of data security practices. His work has also contributed to building resilient infrastructure for smart cities and secure digital frameworks.

Legacy and Future Contributions 🔮

Looking to the future, Dr. Bertaccini’s vision continues to push the boundaries of cybersecurity and cryptographic applications. His upcoming project, Brain_Waves, is a neural interface designed to authenticate users through brainwave recognition, a groundbreaking step in neural cryptography. His legacy will likely endure through both his published works and the widespread adoption of his cryptographic patents. Dr. Bertaccini remains dedicated to advancing cybersecurity, blockchain, and cryptographic innovations, setting a lasting example for future generations of researchers and cybersecurity professionals.

 

Publications


📘 Cryptography Algorithms 2nd Edition: Explore New Algorithms in Zero-Knowledge, Homomorphic Encryption, and Quantum Cryptography

Author: M. Bertaccini
Publisher: Packt Publishing Ltd
Year: 2024


📘 An Introduction to a New Lightweight Encryption Algorithm: Cybpher

Author: JW Massimo Bertaccini Ph.D.
Publication: Cryptography Algorithms 2nd Edition
Year: 2023


📘 Cryptography Algorithms: A Guide to Algorithms in Blockchain, Quantum Cryptography, Zero-Knowledge Protocols, and Homomorphic Encryption

Author: M. Bertaccini
Publisher: Packt Publishing Ltd
Year: 2022


 

Ousmane Thiare | Computer Science | Best Scholar Award

Prof Dr. Ousmane Thiare | Computer Science | Best Scholar Award

Université Gaston Berger | Senegal

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Early Academic Pursuits 🎓

Professor Ousmane Thiare's academic journey began at Gaston Berger University (UGB), Senegal, a prestigious institution where he would later spend much of his career. He joined UGB in 1994 and demonstrated academic excellence, earning a Diploma of Advanced Studies (DEA) in Applied Mathematics in 2000. Eager to expand his knowledge, he continued his studies abroad at the Polytechnic School of the François Rabelais University of Tours (Polytech'Tours), obtaining a second DEA in Computer Science in 2002. His academic pursuits culminated in 2007 when he earned a Doctorate in Computer Science from CY Cergy Paris University in France.

Professional Endeavors 👨‍🏫

After completing his studies, Professor Thiare embarked on a teaching career that began right at the institution where he was trained, UGB. In 2002, he started as a Full Assistant in Computer Science. His dedication and expertise quickly saw him rise through the ranks, becoming an Assistant Professor in 2008 and later a Lecturer with Accreditation (HDR) from 2010 to 2015. Beyond Senegal, his teaching experience extended to Nigeria, where he served as an Associate Professor at the African University of Science and Technology (AUST) in Abuja from 2014. In 2015, Professor Thiare was promoted to Full Professor at UGB, a position of immense respect. By April 2021, he was further recognized as a Full Professor of Exceptional Class of Universities, underscoring his contributions to academia.

Contributions and Research Focus 🔬

Professor Thiare's contributions extend beyond teaching. His research spans critical areas such as Computer Science, Information and Communication Technologies (ICT), and Mathematics. As Head of the Computer Science Department at UGB's UFR of Applied Sciences and Technology between 2007 and 2009, he influenced the direction of academic programs. He was instrumental in coordinating the Third Cycle in Computer Science in 2011 and later served as Director of the Ousmane Seck Computing Center from 2013. From 2017 to 2020, Professor Thiare led the African Center of Excellence for Mathematics, Computer Science, and ICT (CEA-MITIC), a World Bank-funded project aimed at providing world-class education in STEM fields. His leadership in this $8 million initiative was crucial in developing skilled professionals in ICT, Computer Science, and Mathematics across Africa.

Accolades and Recognition 🏅

Professor Thiare’s accomplishments have garnered numerous accolades. In 2021, he was elected as a Full Member of the National Academy of Sciences and Technology of Senegal (ANSTS), in the Fundamental, Applied, and Innovation Sciences (SFAI) section, recognizing his significant contributions to science and technology. As an Expert Evaluator for the National Authority for Quality Assurance of Higher Education (ANAQ-Sup) since 2014, he has contributed to maintaining high educational standards across Senegal. He also serves on the Scientific and Pedagogical Council of the Doctoral School of Science and Technology at UGB, reflecting his influence in shaping future academic research and educational programs.

Impact and Influence 🌍

From May 2018 to March 2023, Professor Thiare served as Rector of Gaston Berger University, leading one of Senegal's foremost institutions. As Rector, he played a pivotal role in guiding the university’s academic programs, fostering partnerships with international institutions, and ensuring the adoption of cutting-edge technologies to make UGB globally competitive. His role as Principal Authorizing Officer of UGB’s budget allowed him to influence not only academic policy but also the strategic use of financial resources to promote education and research. Under his leadership, UGB also spearheaded major projects such as the Mastercard Foundation Scholars Program, which secured nearly $38 million in funding to train 1,000 scholars, 70% of whom are women, in digital technology, health, agriculture, and engineering by 2031. This initiative has empowered young African talents to make meaningful contributions to their communities.

Legacy and Future Contributions 🌟

Professor Thiare's legacy as a trailblazer in African higher education is well-established. Through his work at CEA-MITIC, UGB, and various national and international platforms, he has helped shape the landscape of STEM education in Africa. His dedication to improving the quality of higher education, combined with his strategic leadership in academic programs and technological innovation, has left an indelible mark.

 

Publications


📄 Hardware Development and Evaluation of Multihop Cluster-Based Agricultural IoT Based on Bluetooth Low-Energy and LoRa Communication Technologies
Authors: Effah, E., Ghartey, G., Aidoo, J.K., Thiare, O.
Journal: Sensors
Year: 2024


📄 Data collection in IoT networks: Architecture, solutions, protocols and challenges
Authors: Abba Ari, A.A., Aziz, H.A., Njoya, A.N., Thiare, O., Mohamadou, A.
Journal: IET Wireless Sensor Systems
Year: 2024


📄 A comparative study of Machine Learning and Deep Learning methods for flood forecasting in the Far-North region, Cameroon
Authors: Dtissibe, F.Y., Ari, A.A.A., Abboubakar, H., Mohamadou, A., Thiare, O.
Journal: Scientific African
Year: 2024


📄 Enabling privacy and security in Cloud of Things: Architecture, applications, security & privacy challenges
Authors: Abba Ari, A.A., Ngangmo, O.K., Titouna, C., Mohamadou, A., Gueroui, A.M.
Journal: Applied Computing and Informatics
Year: 2024


📄 A collaborative WSN-IoT-Animal for large-scale data collection
Authors: Abdoul Aziz, H., Abba Ari, A.A., Ndam Njoya, A., Mohamadou, A., Thiare, O.
Journal: IET Smart Cities
Year: 2024


 

Kalyanapu Srinivas | Computer Science | Best Researcher Award

Dr. Kalyanapu Srinivas | Computer Science | Best Researcher Award

Vaagdevi Engineering College | India

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Early Academic Pursuits 🎓

Dr. Kalyanapu Srinivas embarked on his academic journey with a Bachelor of Technology (B.Tech) in Computer Science Engineering from Vidya Bharathi Institute of Technology, graduating in 2006 with First Division honors. He continued to advance his studies with a Master of Technology (M.Tech) in Software Engineering from Ramappa Engineering College in 2010, where he achieved Distinction with a 78.2% score. Further solidifying his academic prowess, Dr. Srinivas completed his Ph.D. in Cryptography & Network Security at JNTU, Hyderabad in 2020.

Professional Endeavors 💼

Dr. Srinivas has accumulated over 16 years of experience in academia. His professional journey includes roles such as Assistant Professor at various institutions, including Vaagdevi Engineering College, Kakatiya Institute of Technology and Science, and SR Engineering College. His tenure in these roles highlights his commitment to advancing the field of computer science and engineering. Notably, he has been involved in teaching, research, and academic administration.

Contributions and Research Focus 🔬

Dr. Srinivas’s research primarily focuses on Cryptography and Network Security, with a keen interest in Data Mining, Cloud Computing, and Quantum Computing. His Ph.D. thesis, titled "Novel Techniques for Image-Based Key Generation using Chinese Remainder Theorem and Chaotic Logistic Maps," reflects his innovative approach to enhancing security protocols. Additionally, his ongoing research guidance includes supervising several Ph.D. students in areas such as Wireless Networks and Cloud Computing.

Accolades and Recognition 🏆

Dr. Srinivas has earned significant recognition throughout his career. His work in machine learning and cryptography has led to the publication of a patent on Alzheimer's prediction using machine learning. He has also been honored as a session chair at the International Conference on Research in Science, Engineering, Technology, and Management (ICRSETM2020) and served as a guest speaker at SAFER INTERNET DAY 2023. His expertise has been acknowledged through editorial and review roles for various conferences and journals.

Impact and Influence 🌍

Dr. Srinivas’s contributions extend beyond his research. His involvement in organizing and participating in short-term training programs (STTP) on IoT simulation and fog computing showcases his dedication to fostering knowledge and innovation in emerging technologies. His role as a primary evaluator for TOYCATHON 2021 further emphasizes his influence in shaping the future of technology education and development.

Legacy and Future Contributions 🚀

Looking ahead, Dr. Srinivas is poised to continue making impactful contributions to the fields of cryptography and network security. His research initiatives and academic leadership are expected to drive advancements in secure computing and innovative technologies. As he mentors the next generation of researchers and contributes to cutting-edge research, his legacy in the academic and professional realms will undoubtedly endure, inspiring future advancements in technology and education.

 

Publications 📚


  • Article: Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
    Authors: Stateczny, A., Narahari, S.C., Vurubindi, P., Guptha, N.S., Srinivas, K.
    Journal: Remote Sensing
    Year: 2023

  • Article: User-segregation based channel estimation in the MIMO system
    Authors: Patra, R.K., Kumar, M.H., Srinivas, K., Sekhar, P.C., Subhashini, S.J.
    Journal: Physical Communication
    Year: 2023

  • Book Chapter: An Enhancement in Crypto Key Generation Using Image Features with CRT
    Authors: Srinivas, K., Kumar, N.S., Sanathkumar, T., Rama Devi, K.
    Book: Cognitive Science and Technology
    Year: 2023

  • Article: Plant disease classification using deep bilinear CNN
    Authors: Rao, D.S., Ramesh Babu, C., Kiran, V.S., Mohan, G.S., Bharadwaj, B.L.
    Journal: Intelligent Automation and Soft Computing
    Year: 2022

  • Article: Symmetric key generation algorithm using image-based chaos logistic maps
    Authors: Srinivas, K., Janaki, V.
    Journal: International Journal of Advanced Intelligence Paradigms 🧠
    Year: 2021

 

Soopil Kim | Computer Science | Best Researcher Award

Dr. Soopil Kim | Computer Science | Best Researcher Award

Daegu Gyeongbuk Institute of Science and Technology | South Korea

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Early Academic Pursuits 🎓

Dr. Soopil Kim's academic journey began with a Bachelor of Engineering in Robotics and Mechatronics Engineering from Daegu Gyeongbuk Institute of Science & Technology (DGIST), where he graduated Cum Laude. He continued his studies at DGIST, pursuing a Master’s and Ph.D. in the same field, focusing on medical image segmentation. His research during these years emphasized label-efficient segmentation models and limited pixel-level annotation, laying a strong foundation for his future work in deep learning and computer vision.

Professional Endeavors 💼

Dr. Kim's career has seen significant milestones, including a role as a Visiting Student at Stanford University's CNSLAB under the supervision of Prof. Kilian M. Pohl and Ehsan Adeli. Currently, he is a Post-Doctoral Research Fellow at the Medical Image & Signal Processing Lab (MISPL) at DGIST, where he works under Prof. Sang Hyun Park. His professional trajectory reflects a commitment to advancing the field of computer vision through innovative research and collaboration.

Contributions and Research Focus 🔬

Dr. Kim’s research is at the forefront of deep learning and computer vision. His work addresses the challenges of image segmentation with partially labeled datasets by developing federated learning strategies and few-shot segmentation techniques. His notable contributions include the creation of a medical image segmentation model that integrates meta-learning and bi-directional recurrent neural networks, a semi-supervised segmentation model based on uncertainty estimation, and a transductive segmentation model for industrial imaging. These advancements aim to improve the efficiency and accuracy of image segmentation processes.

Accolades and Recognition 🏆

Dr. Kim has received several awards that highlight his exceptional contributions to the field. Notably, he was ranked 3rd among 40 teams in the SNUH Sleep AI Challenge in 2021 and was honored with the Outstanding Student Award from the Department of Robotics and Mechatronics Engineering at DGIST in 2022. In 2024, he was recognized at the KCCV Oral/Poster Presentation Doctoral Colloquium for his work on label-efficient segmentation models.

Impact and Influence 🌍

Dr. Kim's research has made a significant impact on the field of computer vision, particularly in the area of image segmentation. His innovative approaches to handling partially labeled datasets and federated learning have the potential to advance both academic research and practical applications in medical imaging and beyond. His work on few-shot learning and uncertainty-aware models addresses critical challenges in the field, contributing to more robust and adaptable segmentation solutions.

Legacy and Future Contributions 🚀

As Dr. Kim continues his research, his focus on improving segmentation models and developing new methodologies promises to shape the future of computer vision. His commitment to exploring federated learning and few-shot learning techniques will likely drive further innovations in the field, offering solutions to complex challenges and enhancing the accuracy of image analysis across various applications.

 

Publications 📘


📄Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features
Authors: Sion An, Soopil Kim, Philip Chikontwe, Jiwook Jung, Hyejeong Jeon, Jaehong Kim, Sang Hyun Park
Journal: Expert Systems with Applications
Year: 2024


📄Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets
Authors: Soopil Kim, Haejun Park, Myeongju Kang, Kilian M. Pohl, Sang Hyun Park
Journal: Medical Image Analysis
Year: 2024


📄FedNN: Federated learning on concept drift data using weight and adaptive group normalizations
Authors: Myeongju Kang, Soopil Kim, Kwang-Hyun Jin, Kilian M. Pohl, Sang Hyun Park
Journal: Pattern Recognition
Year: 2024


📄Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Authors: Soopil Kim, Sion An, Philip Chikontwe, Kilian M. Pohl, Sang Hyun Park
Conference: Proceedings of the AAAI Conference on Artificial Intelligence
Year: 2024


📄Uncertainty-aware semi-supervised few shot segmentation
Authors: Soopil Kim, Philip Chikontwe, Sion An, Sang Hyun Park
Journal: Pattern Recognition
Year: 2023


 

Rudresh Dwivedi | Computer Science | Best Researcher Award

Assist Prof Dr. Rudresh Dwivedi | Computer Science | Best Researcher Award

Netaji Subhas University of Technology | India

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Early Academic Pursuits

Dr. Rudresh Dwivedi's academic journey began with a Bachelor of Technology in Computer Science & Engineering from ICFAI University, Dehradun, India. He graduated in 2010 with a CGPA of 6.63/10. He then pursued a Master of Technology in Electrical Engineering from the National Institute of Technology (NIT), Raipur, India, graduating in 2013 with a CGPA of 8.63/10. His thesis, supervised by Dr. Narendra D. Londhe, focused on the classification of EEG-based multiclass motor imagery movements. Dr. Dwivedi furthered his academic career with a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (IIT), Indore, India, completing his doctoral studies in 2019 under the supervision of Dr. Somnath Dey. His Ph.D. thesis titled "Unimodal and Multimodal Biometric Verification Using Cancelable Iris and Fingerprint Templates" earned him a CGPA of 9.25/10.

Professional Endeavors

Dr. Dwivedi's professional career is marked by a blend of academic and industry experiences. His career commenced as a Software Engineer at Mars Web Solution, Bangalore, India, from August 2010 to March 2011. Transitioning to academia, he served as an Assistant Professor at NMIMS University, Maharashtra, India, in 2013. Following this, he was a Research Assistant at IIT Indore for a SERB-DST project focused on efficient cancelable template generation methods for fingerprint and iris biometrics. He then joined Pandit Deendayal Petroleum University (PDPU), Gandhinagar, Gujarat, India, as an Assistant Professor from July 2019 to August 2021. Currently, Dr. Dwivedi is an Assistant Professor in the Computer Science & Engineering Department at Netaji Subhas University of Technology, Dwarka, Delhi, India.

Contributions and Research Focus

Dr. Dwivedi has made significant contributions to the fields of biometrics, machine learning, and computer vision. His research has primarily focused on developing novel approaches for cancelable iris and fingerprint template generation, rotation-invariant iris code generation, and privacy-preserving biometric systems. He has also explored score-level and hybrid fusion schemes for protected multimodal biometric verification and secure communication systems using fingerprint-based cryptographic techniques. Additionally, his work on BCI (Brain-Computer Interface) systems has advanced the classification of EEG signals and the development of motor imagery-based systems.

Accolades and Recognition

Throughout his career, Dr. Dwivedi has received numerous awards and recognitions. These include the Third Prize at the Fifth IDRBT Doctoral Colloquium in 2015, the MHRD TA Fellowship for his Ph.D. studies, a Summer Research Fellowship at IIT Delhi in 2012, and a high percentile in the GATE 2011 exam, which secured him an MHRD TA Fellowship for his M.Tech. studies. He has also been awarded the State Meritorious Student Award and the National Talent Search Examination Scholarship during his early academic years.

Impact and Influence

Dr. Dwivedi's research has had a substantial impact on the field of biometric security, particularly in developing methods for protecting biometric templates. His work on cancelable biometrics and secure communication systems has contributed to enhancing privacy and security in biometric applications. His publications in esteemed journals and conferences have garnered attention and citations, reflecting his influence in the academic community.

Legacy and Future Contributions

Dr. Dwivedi's legacy is marked by his innovative contributions to biometric security and machine learning. His ongoing research continues to push the boundaries of these fields, promising further advancements in secure biometric systems and AI-based solutions. As a dedicated educator and researcher, Dr. Dwivedi's future contributions are anticipated to significantly impact both academia and industry, fostering the development of more secure and efficient biometric technologies.

 

Notable Publications

An efficient ensemble explainable AI (XAI) approach for morphed face detection 2024

Explainable AI (XAI): Core Ideas, Techniques and Solutions 2022 (161)

A Leaf Disease Detection Mechanism Based on L1-Norm Minimization Extreme Learning Machine 2021 (10)

A fingerprint based crypto-biometric system for secure communication 2019 (20)

Score-level fusion for cancelable multi-biometric verification 2019 (25)