Dr. Ishu Sharma – Blockchain – Best Researcher Award 

Dr. Ishu Sharma - Blockchain - Best Researcher Award 

CGC Jhanjeri - India 

Author Profile

SCOPUS 

ORCID 

GOOGLE SCHOLAR 

🌟 Early academic pursuits

Ishu Sharma's journey into the realm of computer science began with an exceptional academic foundation. her passion for technology was evident during her diploma in computer science at government polytechnic nilokheri, where she ranked third in haryana with an impressive 82.5%. this determination continued through her a.m.i.e. degree in computer science, completed with an exceptional 8.0 cgpa within the minimum duration. her master's degree in computer science and engineering from chitkara university, where she earned a silver medal, further solidified her commitment to excellence. in 2019, she achieved her ph.d. in computer science, specializing in mobile ad hoc networks, marking a significant milestone in her academic pursuits.

🧑‍🏫 Professional endeavors

with over 14 years of teaching experience, ishu has played pivotal roles in academia. she began as a lab instructor at chitkara university, progressing to assistant professor and later associate professor. her expertise extends to a wide array of subjects, including blockchain, solidity, cybersecurity, data science, and artificial intelligence. her tenure at lovely professional university and her current role at chandigarh group of colleges highlight her dedication to nurturing the next generation of technology leaders.

💻 Contributions and research focus

Ishu’s research endeavors span cybersecurity, blockchain technology, data science, and wireless sensor networks. she has contributed significantly to mobile ad hoc network protocols and their applications in secure communication. her expertise in blockchain includes smart contract development with solidity, chaincode integration, and decentralized application deployment. Blockchain her hands-on proficiency in tools like metasploit, wireshark, and machine learning algorithms underscores her commitment to solving critical cybersecurity challenges.

🏆 Accolades and recognition

Ishu’s academic and professional achievements have been recognized with numerous awards and certifications. her silver medal in her master’s degree, third rank in haryana for her diploma, Blockchain and certifications like ibm blockchain essentials and opswat introduction to critical infrastructure protection reflect her consistent pursuit of excellence. her contributions have also earned her an h-index of 9, emphasizing the impact of her scholarly work.

🌍 Impact and influence

As a dedicated educator, ishu has influenced countless students and professionals through her expertise in cutting-edge technologies. her research has paved the way for advancements in Blockchain cybersecurity and blockchain, addressing real-world challenges. her contributions to academic institutions and industry have fostered collaborations and inspired innovative solutions, making her a key figure in the tech community.

🛡️ Legacy and future contributions

Ishu’s legacy lies in her unwavering commitment to research and education. she envisions a future where her work in blockchain and cybersecurity continues to shape the technological landscape. by combining her technical expertise with her passion for teaching, she aspires to mentor a new generation of researchers and professionals, ensuring the continued evolution of these critical fields.

Notable Publications 

  1. Title: Efficient Lung Cancer Detection in CT Scans through GLCM Analysis and Hybrid Classification
    Authors: Shamas, Shazia; Panda, Surya Narayan; Sharma, Ishu
    Journal/Source: Applied Data Science and Smart Systems (Book Chapter, 2025)
  2. Title: AI-Powered Detection and Mitigation of Backdoor Attacks on Databases Server
    Authors: Khan, Aadil; Sharma, Ishu
    Journal/Source: 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
  3. Title: An Improved Lung Cancer Segmentation Based on Nature-Inspired Optimization Approaches
    Authors: Shazia Shamas, Surya Narayan Panda, Ishu Sharma, Kalpna Guleria, Aman Singh, Ahmad Ali AlZubi, Mallak Ahmad AlZubi
    Journal/Source: Computer Modeling in Engineering & Sciences (Journal Article, 2024)
  4. Title: Enhancing Disaster Recovery Mechanism in SCADA using Multichain Blockchain
    Authors: Bhatia, Kunal; Khanna, Anirudh; Sharma, Ishu
    Journal/Source: 2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT)
  5. Title: Enhancing DNS Light Attack Detection through RNN-RF Integration for Imbalanced Data
    Authors: Khan, Aadil; Sharma, Ishu
    Journal/Source: 2024 4th International Conference on Intelligent Technologies (CONIT)

Dr. Tai Fei – Information Engineering – Best Researcher Award

Dr. Tai Fei - Information Engineering - Best Researcher Award

Fachhochschule Dortmund - Germany

Author Profile

GOOGLE SCHOLAR

Early academic pursuits 🎓

Tai Fei began his academic journey with a strong focus on signal processing and sonar technology. from september 2009 to november 2014, he pursued his ph.d. under the guidance of prof. dieter kraus at the university of bremen. his doctoral research was intricately linked to a project that involved the detection and classification of underwater targets using synthetic aperture sonar images. during this time, he collaborated with the signal processing group (spg) at the technical university of darmstadt, where prof. abdelhak zoubir served as his doctoral advisor. tai's academic foundation laid the groundwork for his future expertise in sonar technology and signal processing.

Professional endeavors 🏢

After completing his ph.d., tai fei expanded his research scope by joining the center for marine environmental sciences (marum) at the university of bremen. here, he applied his expertise in sonar technology to marine environmental research, contributing to the field of underwater target detection. his career took a turn towards the automotive industry in 2014 when he joined hella, a global leader in automotive technology. from march 2014 to october 2023, tai served as an expert in automotive radar, further broadening his experience in signal processing and its real-world applications. in november 2023, he transitioned to academia, taking on the role of interim professor at the dortmund university of applied sciences in the field of computer vision and robotics, assuming the responsibilities of prof. jörg theim.

Contributions and research focus 🔬

Tai Tei’s research primarily revolves around signal processing, sonar technology, and radar systems. during his doctoral studies, he contributed significantly to the development of algorithms for the detection and classification of underwater targets using synthetic aperture sonar. his work in this field extended to marine Information Engineering environmental research, where he applied sonar technology to study underwater environments. later, his expertise evolved into automotive radar, where he played a key role in the development of radar systems used in modern vehicles for safety and automation. his current research focus includes computer vision and robotics, where he integrates his deep understanding of signal processing into cutting-edge technological advancements.

Accolades and recognition 🏅

Tai’s work has been widely recognized in both the academic and industrial sectors. his contributions to sonar and radar technology have been instrumental in advancing both marine environmental sciences and automotive safety. his transition to academia as an interim professor at the dortmund university of applied Information Engineering sciences is a testament to his recognition as a leading expert in his field. throughout his career, he has worked alongside esteemed professors such as prof. dieter kraus and prof. abdelhak zoubir, further validating his standing in the scientific community.

Impact and influence 🌍

Tai fei’s impact spans multiple industries and disciplines. his early work on synthetic aperture sonar has contributed to advancements in underwater target detection, Information Engineering with implications for both marine research and defense technologies. in the automotive industry, his expertise in radar systems has played a role in enhancing vehicle safety through the development of cutting-edge radar technologies. now, as an interim professor, he is poised to influence the next generation of researchers and engineers, shaping the future of computer vision and robotics.

Legacy and future contributions 🔮

Tai’s legacy is defined by his interdisciplinary expertise and his ability to transition between academia and industry. his work in signal processing, sonar, and radar technology will continue to influence both marine and automotive fields. as he takes on a more prominent academic role, his future contributions are likely to expand into the realms of computer vision and robotics, further bridging the gap between theoretical research and practical applications. his commitment to innovation ensures that his impact will be long-lasting and far-reaching.

Notable Publications

  1. Title: Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform
    Authors: Y. Sun, T. Fei, X. Li, A. Warnecke, E. Warsitz, N. Pohl
    Journal: IEEE Sensors Journal, 1-11, 2020
  2. Title: Contributions to Automatic Target Recognition Systems for Underwater Mine Classification
    Authors: T. Fei, D. Kraus, A.M. Zoubir
    Journal: IEEE Transactions on Geoscience and Remote Sensing 53 (1), 505-518, 2014
  3. Title: Gesture Classification with Handcrafted Micro-Doppler Features using a FMCW Radar
    Authors: Y. Sun, T. Fei, F. Schliep, N. Pohl
    Journal: 2018 IEEE MTT-S International Conference on Microwaves for Intelligent Systems, 2018
  4. Title: Automatic Radar-based Gesture Detection and Classification via a Region-based Deep Convolutional Neural Network
    Authors: Y. Sun, T. Fei, S. Gao, N. Pohl
    Journal: ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2019
  5. Title: A High-Resolution Framework for Range-Doppler Frequency Estimation in Automotive Radar Systems
    Authors: Y. Sun, T. Fei, N. Pohl
    Journal: IEEE Sensors Journal 19 (23), 11346-11358, 2019

Dr. Nazir Ullah – Blockchain Technology – Best Researcher Award

Dr. Nazir Ullah - Blockchain Technology - Best Researcher Award

Nanjing University - China

AUTHOR PROFILE

SCOPUS

ORCID

EARLY ACADEMIC PURSUITS

Nazir Ullah embarked on his academic journey with a foundational degree in Chinese Language from Nanjing University's School of Chinese Language in 2017. He then pursued an MBA from the Faculty of Management Science at the International Islamic University, graduating in 2015. Building upon this diverse academic background, Ullah proceeded to attain his Ph.D. from Nanjing University's School of Management and Engineering in 2023, focusing on Blockchain Technology Adoption Theories and Hyperledger Fabric Network.

PROFESSIONAL ENDEAVORS

Throughout his academic journey, Ullah engaged in various professional endeavors that shaped his expertise and research focus. Notably, he collaborated with distinguished experts in the field, including Prof. T. Ramayah, Prof. Erik Valiquette, Prof. Vikas Kumar, and others, establishing a robust network of research collaboration spanning prestigious institutions globally.

CONTRIBUTIONS AND RESEARCH FOCUS ON BLOCKCHAIN TECHNOLOGY

Ullah's contributions to academia are underscored by his prolific research output and interdisciplinary approach to Blockchain technology adoption. His research primarily revolves around Blockchain technology's application in diverse sectors, including energy trading, smart learning environments, Blockchain Technology financial institutions, and supply chain management. Noteworthy contributions include his exploration of adoption theories such as TAM, TRI, and TPB in the context of distributed ledger technology (DLT) adoption, as well as his investigation into cost-saving mechanisms and trust factors influencing Blockchain adoption.

IMPACT AND INFLUENCE

Ullah's research has left a significant impact on the academic community, evidenced by his publications in reputable journals Blockchain Technology and conference proceedings. His work has been instrumental in advancing understanding and promoting the adoption of Blockchain technology across various domains, contributing to the sustainable and efficient development of future systems.

ACADEMIC CITATIONS

Ullah's research has garnered attention from peers and scholars, reflected in his citations and collaborations with top-tier researchers. Blockchain Technology His expertise in Blockchain technology adoption theories and Hyperledger Fabric Network has positioned him as a sought-after collaborator and reviewer for prestigious journals and conferences worldwide.

LEGACY AND FUTURE CONTRIBUTIONS

As a trailblazer in Blockchain technology adoption research, Ullah's legacy lies in his multidisciplinary approach and commitment to advancing knowledge in the field. His future contributions are anticipated to further bridge the gap between theory and practice, fostering sustainable technological innovations and empowering organizations to leverage Blockchain for transformative impact.

NOTABLE PUBLICATIONS

Hybridizing Cost Saving with Trust for Blockchain technology adoption by Financial Institutions  2022(17)

KYC Optimization by Blockchain Based Hyperledger Fabric Network   2021(6)