Rajeev Ratna Vallabhuni | Computer Science | Young Scientist Award

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Mr. Rajeev Ratna Vallabhuni | Computer Science | Young Scientist Award

Application Developer at Texans IT Services Inc., India

Rajeev Ratna Vallabhuni is an accomplished Application Developer with a rich background in computer science, technology, and engineering. He has contributed significantly to the field through several innovative patents in areas such as blockchain-based cloud applications, machine learning, and IoT security. His work spans various domains including AI/ML, image processing, and network management, with numerous research publications in international journals and conferences. With experience at Bayview Asset Management, LLC, he has a strong track record of applying cutting-edge technologies to real-world applications. His expertise in both academic and professional settings makes him a leading figure in the field of information technology and software development.

Professional Profile 

Education

Rajeev Ratna Vallabhuni holds a Master of Science in Information Technology Management from Campbellsville University, Kentucky, and a Master of Science in Computer Science Engineering from Northwestern Polytechnic University, California, USA. He also completed his Bachelor of Technology in Information and Technology at Vignan University, India. His educational foundation has equipped him with a diverse skill set, allowing him to specialize in software development, computer engineering, and cutting-edge technological innovations.

Professional Experience

Rajeev currently works as an Application Developer at Bayview Asset Management, LLC, where he plays a key role in developing and optimizing software applications. His previous professional experience includes working on various projects related to AI/ML, blockchain, and IoT security. He has contributed to numerous patents, book chapters, and international journal publications. Rajeev’s expertise spans both technical development and leadership, and his ability to integrate machine learning and deep learning techniques into practical solutions has made him a valuable asset in the tech industry.

Research Interest

Rajeev Ratna Vallabhuni’s research interests lie at the intersection of artificial intelligence, machine learning, cloud computing, and Internet of Things (IoT) technologies. His work primarily focuses on enhancing the security of IoT networks, leveraging blockchain for decentralized application architectures, and utilizing deep learning models for image and signal processing. Rajeev is also interested in exploring advanced computational methods for improving network management, resource allocation, and real-time data processing in cloud environments. His innovative research aims to develop scalable, efficient, and secure solutions for modern computing challenges, bridging the gap between theoretical algorithms and real-world applications.

Awards and Honors

Rajeev Ratna Vallabhuni has received numerous accolades for his contributions to the fields of software development, machine learning, and IoT security. Notable recognitions include multiple patents for his innovations in blockchain-based applications, AI/ML, and security systems. He has been awarded fellowships and scholarships during his academic career, showcasing his dedication to pushing the boundaries of technology. Additionally, Rajeev’s research has been published in prestigious international journals and recognized at numerous conferences, further cementing his reputation as a leading figure in his field.

Publications Top Noted

  • Smart cart shopping system with an RFID interface for human assistance
    Authors: RR Vallabhuni, S Lakshmanachari, G Avanthi, V Vijay
    Year: 2020
    Citation: 92
  • Performance analysis: D-Latch modules designed using 18nm FinFET Technology
    Authors: RR Vallabhuni, G Yamini, T Vinitha, SS Reddy
    Year: 2020
    Citation: 85
  • Disease prediction based retinal segmentation using bi-directional ConvLSTMU-Net
    Authors: BMS Rani, VR Ratna, VP Srinivasan, S Thenmalar, R Kanimozhi
    Year: 2021
    Citation: 68
  • ECG performance validation using operational transconductance amplifier with bias current
    Authors: V Vijay, CVSK Reddy, CS Pittala, RR Vallabhuni, M Saritha, M Lavanya, …
    Year: 2021
    Citation: 63
  • A Review On N-Bit Ripple-Carry Adder, Carry-Select Adder And Carry-Skip Adder
    Authors: V Vijay, M Sreevani, EM Rekha, K Moses, CS Pittala, KAS Shaik, …
    Year: 2022
    Citation: 62
  • Speech Emotion Recognition System With Librosa
    Authors: PA babu, VS Nagaraju, RR Vallabhuni
    Year: 2021
    Citation: 62
  • 6Transistor SRAM cell designed using 18nm FinFET technology
    Authors: RR Vallabhuni, P Shruthi, G Kavya, SS Chandana
    Year: 2020
    Citation: 60
  • Universal Shift Register Designed at Low Supply Voltages in 20nm FinFET Using Multiplexer
    Authors: RR Vallabhuni, J Sravana, CS Pittala, M Divya, BMS Rani, S Chikkapally, …
    Year: 2021
    Citation: 58
  • Numerical analysis of various plasmonic MIM/MDM slot waveguide structures
    Authors: CS Pittala, RR Vallabhuni, V Vijay, UR Anam, K Chaitanya
    Year: 2022
    Citation: 57
  • Design of Comparator using 18nm FinFET Technology for Analog to Digital Converters
    Authors: RR Vallabhuni, DVL Sravya, MS Shalini, GU Maheshwararao
    Year: 2020
    Citation: 55
  • High Speed Energy Efficient Multiplier Using 20nm FinFET Technology
    Authors: VR Ratna, S M, S N, V V, PC Shaker, D M, S Sadulla
    Year: 2021
    Citation: 53
  • Physically unclonable functions using two-level finite state machine
    Authors: V Vijay, K Chaitanya, CS Pittala, SS Susmitha, J Tanusha, …
    Year: 2022
    Citation: 48
  • Realization and comparative analysis of thermometer code based 4-bit encoder using 18 nm FinFET technology for analog to digital converters
    Authors: CS Pittala, V Parameswaran, M Srikanth, V Vijay, V Siva Nagaraju, …
    Year: 2021
    Citation: 45
  • Comparative validation of SRAM cells designed using 18nm FinFET for memory storing applications
    Authors: RR Vallabhuni, KC Koteswaramma, B Sadgurbabu, A Gowthamireddy
    Year: 2020
    Citation: 45

Naeem Ullah | Computer Science | Best Researcher Award

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Mr. Naeem Ullah | Computer Science | Best Researcher Award

PhD Student at Software Engineering Research Group (SERG-UOM) University of Malakand, Pakistan

Mr. Naeem Ullah is a dedicated academic and researcher currently pursuing a PhD in Computer Science, with a focus on cybersecurity challenges in vehicle-to-vehicle communication from a software engineering perspective. Holding a strong academic record with a CGPA of 3.75/4.00, he has presented his research at international forums, such as the 2nd Annual International Workshop on Software Engineering, where he shared his Multivocal Literature Review (MLR) protocol on cybersecurity culture. Mr. Ullah has also received recognition for his teaching excellence, earning the Best Teacher Award in 2018. His work experience includes roles as a lecturer at the University Model College KPK, part-time tutor at Allama Iqbal Open University, and facilitator for continuous professional development programs for teachers. His research, currently under review, addresses crucial cybersecurity issues in vehicle-to-vehicle communications. Mr. Ullah’s commitment to furthering his knowledge is evident through multiple certifications in data science, networking, and cybersecurity.

Professional Profile 

Education

Mr. Naeem Ullah has a strong educational background in Computer Science. He is currently pursuing a PhD in Computer Science with a focus on cybersecurity challenges in vehicle-to-vehicle communication, maintaining an impressive CGPA of 3.75/4.00. His research aims to develop a mitigation model for cybersecurity issues in connected vehicle systems, reflecting his deep engagement with current technological challenges. Mr. Ullah completed his Master’s degree in Computer Science in 2019, achieving a CGPA of 3.7/4.00, with his thesis titled Software Development Process Improvement Model for Small Pakistani Software Development Companies. He also holds a Bachelor’s degree in Computer Science from 2014, with a CGPA of 3.62/4.00. His final year project, Auction Management System, showcased his ability to apply practical solutions to real-world problems. Mr. Ullah’s academic journey is marked by consistent excellence and a strong commitment to advancing his expertise in the field of computer science.

Professional Experience

Mr. Naeem Ullah has accumulated diverse professional experience in both academic and research roles. He has served as a Lecturer in Computer Science at the University Model College KPK, Peshawar, Pakistan, where he taught and mentored students in various computer science subjects. In addition, he has worked as a part-time tutor for Allama Iqbal Open University, Islamabad, since 2022, focusing on Information and Communication Technologies (ICT). Mr. Ullah has also contributed to teacher development programs, serving as a facilitator for the Continuous Professional Development (CPD) of Primary School Teachers (PSTs) through the Provincial Institute of Teacher Education (PITE) in KPK. His role as a part-time researcher at the Department of Computer Science and IT at the University of Malakand further underscores his involvement in academic research. Earlier in his career, he worked as a Secondary School Teacher at the Elementary and Secondary Education Department, KPK. His experiences reflect a blend of teaching, research, and educational development.

Research Interest

Mr. Naeem Ullah’s research interests primarily focus on cybersecurity, particularly in the context of emerging technologies such as vehicle-to-vehicle (V2V) communication. His PhD research investigates cybersecurity challenges and proposes mitigation models for securing V2V communication systems from a software engineering perspective. This area of research is highly relevant due to the increasing integration of connected vehicles and the need for secure communication protocols to protect sensitive data. Additionally, Mr. Ullah is interested in software engineering, with a particular emphasis on improving software development processes for small software companies in Pakistan, as demonstrated in his Master’s thesis. He has also contributed to the field of cybersecurity culture through his work on a Multivocal Literature Review (MLR) protocol, which identifies cybersecurity challenges and best practices in V2V communication. His research endeavors aim to address critical issues in both cybersecurity and software engineering, contributing to the development of safer, more efficient technologies.

Award and Honor

Mr. Naeem Ullah has received notable recognition for his academic and professional achievements. In 2022, he presented his Multivocal Literature Review (MLR) Protocol at the 2nd Annual International Workshop on Software Engineering (WSE-2022), organized by the Software Engineering Research Group at the University of Malakand. This presentation, focused on Cybersecurity Culture, showcased his expertise and contribution to the field of cybersecurity. Additionally, Mr. Ullah earned the prestigious Best Teacher Award from the Director of Elementary and Secondary Education, KPK, Pakistan, in 2018. This recognition highlights his excellence in teaching and his commitment to fostering the growth and development of his students. These awards and honors reflect Mr. Ullah’s dedication to advancing both his academic research and educational practices, demonstrating his commitment to the fields of computer science and cybersecurity while contributing positively to the educational community.

Conclusion

Naeem Ullah is a promising candidate for the Best Researcher Award, with a solid academic record, a focused and impactful research topic, and a commitment to both education and professional development. His strengths lie in his dedication to advancing cybersecurity research in emerging technologies like vehicle-to-vehicle communication and his capacity for leadership in educational initiatives. To further enhance his candidacy, Naeem could focus on increasing his research output, expanding his research scope, and engaging more in international collaborations to elevate the impact of his work.

Publications Top Noted

  • Title: Solutions to Cybersecurity Challenges in Secure Vehicle-to-Vehicle Communications: A Multivocal Literature Review
    Authors: Naeem Ullah, S.U. Khan, M. Niazi, A.A. Khan, J.A. Nasir
    Journal: Information and Software Technology
    Year: 2025
    Volume: 179
    Article ID: 107639
    Citations: 0
  • Title: Challenges and Their Practices in Adoption of Hybrid Cloud Computing: An Analytical Hierarchy Approach
    Authors: S.U. Khan, H.U. Khan, Naeem Ullah, R.A. Khan
    Journal: Security and Communication Networks
    Year: 2021
    Article ID: 1024139
    Citations: 2
  • Title: Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review
    Authors: S. Nazir, Y. Ali, Naeem Ullah, I. García-Magariño
    Journal: Wireless Communications and Mobile Computing
    Year: 2019
    Article ID: 5931315
    Citations: 138
  • Title: Practices for Clients in the Adoption of Hybrid Cloud
    Authors: S.U. Khan, Naeem Ullah
    Journal: Proceedings of the Pakistan Academy of Sciences: Part A
    Year: 2017
    Volume: 54(1A)
    Pages: 13–32
    Citations: 3

Bader Alsharif | Computer Science | Best Innovation Award

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Dr. Bader Alsharif | Computer Science | Best Innovation Award

Florida Atlantic University, United States

Dr. Bader Alsharif is an accomplished PhD candidate in Computer Engineering with a strong background in teaching, technical support, and curriculum development. He has led innovative projects, including the first CISCO simulation lab in Saudi Arabia, and has managed over 300 devices, optimizing performance and security. With a focus on AI, Cybersecurity, and IoT, particularly in healthcare, Dr. Alsharif has published over 7 peer-reviewed papers. He has demonstrated leadership in both academic and technical spheres, guiding over 200 students and advocating for special needs education, ensuring their academic success. His expertise extends to training professionals, having conducted comprehensive courses for Saudi Telecom employees. Dr. Alsharif has shown a profound commitment to advancing technology and fostering inclusivity, particularly through his work with individuals with special needs. His work bridges technological innovation with social impact, positioning him as a forward-thinking leader in computer engineering and healthcare.

Professional Profile 

Education

Dr. Bader Alsharif has an extensive academic background, beginning with a Bachelor of Science in Computer Engineering from the College of Technology in Riyadh, Saudi Arabia, where he graduated in 2008. He further advanced his studies with a Master of Science in Computer Engineering from the Florida Institute of Technology, completing his degree in 2017. Currently, Dr. Alsharif is pursuing a Doctor of Computer Engineering at Florida Atlantic University in Boca Raton, USA, with an expected graduation date of 2025. His academic journey has been marked by a strong focus on integrating Artificial Intelligence (AI), Cybersecurity, and Internet of Things (IoT) technologies, particularly in healthcare applications. This multidisciplinary education has provided Dr. Alsharif with the expertise to contribute meaningfully to both research and practical innovations in these fields, bridging the gap between technology and real-world healthcare challenges.

Professional Experience

Dr. Bader Alsharif has a diverse professional background with extensive experience in both academia and technical roles. He currently serves as a Teaching Assistant at Florida Atlantic University, where he guides and evaluates over 30 students on engineering design projects and assists more than 200 students with project development and technical issues. Prior to this, Dr. Alsharif held a prominent role as a Lecturer at the Communications and Information College in Riyadh, Saudi Arabia, where he managed and maintained over 300 devices and led the installation of the first CISCO simulation lab in the country. This project, a significant innovation, involved the deployment of over 30 devices and routers. He also trained 100 employees from Saudi Telecom and designed assessments for instructors working with special needs students. Dr. Alsharif’s professional experience reflects a strong blend of technical expertise, leadership, and a commitment to education and inclusivity.

Research Interest

Dr. Bader Alsharif’s research interests lie at the intersection of Artificial Intelligence (AI), Cybersecurity, and the Internet of Things (IoT), with a particular focus on their applications in healthcare. He is deeply committed to exploring how these advanced technologies can be integrated to enhance patient outcomes and improve healthcare systems. His work aims to leverage AI algorithms to optimize medical data analysis, while also addressing critical security concerns in the rapidly growing field of IoT healthcare devices. Dr. Alsharif’s research also extends to the development of innovative solutions for securing healthcare networks and ensuring the privacy of sensitive patient information. With a strong academic foundation and several peer-reviewed publications, he is dedicated to advancing knowledge in these areas and exploring how cutting-edge technologies can be applied to solve real-world challenges in healthcare. His work demonstrates a commitment to both technological innovation and social impact, especially in the realm of health and well-being.

Award and Honor

Dr. Bader Alsharif has received numerous accolades for his contributions to academia and technology. His achievements include successfully leading the installation of the first CISCO simulation lab in Saudi Arabia, which became a groundbreaking project in the region, significantly enhancing the educational infrastructure for telecommunications. In recognition of his exceptional performance in teaching and technical support, he consistently achieved high job performance ratings, including scores no less than 99/100. Dr. Alsharif has also been honored for his commitment to inclusive education, particularly in advocating for and supporting students with special needs, ensuring their academic excellence. His research in AI, Cybersecurity, and IoT, particularly in the healthcare sector, has earned him recognition as a published researcher with over 7 peer-reviewed papers. Through his work, Dr. Alsharif has received recognition from academic institutions and industry professionals for his innovative contributions, leadership, and commitment to fostering technological advancements with social impact.

Conclusion

Bader Alsharif has demonstrated significant innovation across several key areas of AI, Cybersecurity, and IoT, particularly in healthcare. His leadership in education and advocacy for special needs individuals also reflects a deep commitment to both technological advancement and social impact. His ability to lead high-profile projects and publish extensively in relevant fields positions him as a strong candidate for the Best Innovation Award. However, expanding his research impact and involvement in larger-scale, cross-disciplinary projects could further elevate his candidacy. Overall, he has the potential to be an exceptional award recipient based on his innovative contributions and impact.

Publications Top Noted

  • Title: Deep learning technology to recognize American Sign Language alphabet
    Authors: B Alsharif, AS Altaher, A Altaher, M Ilyas, E Alalwany
    Year: 2023
    Citations: 14
  • Title: Internet of things technologies in healthcare for people with hearing impairments
    Authors: B Alsharif, M Ilyas
    Year: 2022
    Citations: 8
  • Title: Deep Learning Technology to Recognize American Sign Language Alphabet Using Multi-Focus Image Fusion Technique
    Authors: B Alsharif, M Alanazi, AS Altaher, A Altaher, M Ilyas
    Year: 2023
    Citations: 6
  • Title: Machine Learning Technology to Recognize American Sign Language Alphabet
    Authors: B Alsharif, M Alanazi, M Ilyas
    Year: 2023
    Citations: 4
  • Title: Enhancing cybersecurity in healthcare: Evaluating ensemble learning models for intrusion detection in the internet of medical things
    Authors: T Alsolami, B Alsharif, M Ilyas
    Year: 2024
    Citations: 3
  • Title: Multi-Dataset Human Activity Recognition: Leveraging Fusion for Enhanced Performance
    Authors: M Alanazi, B Alsharif, AS Altaher, A Altaher, M Ilyas
    Year: 2023
    Citations: 3
  • Title: Transfer learning with YOLOV8 for real-time recognition system of American Sign Language Alphabet
    Authors: B Alsharif, E Alalwany, M Ilyas
    Year: 2024
    Citations: 1
  • Title: Franklin Open
    Authors: B Alsharif, E Alalwany, M Ilyas
    Year: 2024
    Citations: Not available yet

Amir Reza Rahimi | Computer | Best Researcher Award

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Dr. Amir Reza Rahimi | Computer | Best Researcher Award

PHD at University of Valencia, Spain

Dr. Amir Reza Rahimi is a Ph.D. candidate at the University of Valencia, specializing in language, literature, culture, and their applications. With extensive experience teaching English at universities, high schools, and language institutes in Iran, he is actively involved in research projects like FORTHEM and SOCIEMOVE, focusing on fostering socioemotional skills through virtual exchange. Dr. Rahimi has conducted workshops for language teachers on integrating technology into English teaching and has published extensively in prestigious journals such as Computer-Assisted Language Learning and Computers in Human Behavior Reports. His research has been presented at international conferences, and he is recognized for introducing innovative educational methodologies, earning the Best Research Award in Innovation in Data Analysis. His expertise spans psycholinguistics, CALL, MOOCs, virtual exchange, and teacher education. With a passion for advancing language learning, Dr. Rahimi continues to make significant contributions to the intersection of technology and education.

Professional Profile 

Education

Dr. Amir Reza Rahimi has an extensive academic background, beginning with a Bachelor’s degree in English Language Teaching from the University of Mohaghegh Ardabili in Iran, completed between 2014 and 2017. He then pursued a Master’s degree in English Language Teaching at Shahid Rajaee Teacher Training University in Tehran, Iran, where he conducted research on the impact of massive open online courses (MOOCs) on Iranian EFL learners’ self-regulation and motivation. Dr. Rahimi is currently a Ph.D. candidate at the University of Valencia, Spain, where he is studying language, literature, culture, and their applications. His doctoral research is focused on exploring innovative methods in language learning, particularly through virtual exchange and computer-assisted language learning (CALL). Throughout his educational journey, Dr. Rahimi has continuously demonstrated a commitment to advancing the field of language education through research, publications, and participation in international academic projects.

Professional Experience

Dr. Amir Reza Rahimi has a rich and diverse professional experience in the field of language education. He has taught English at various institutions, including universities, high schools, and language institutes in Iran, where he developed expertise in teaching English as a foreign language (EFL). His teaching career spans over several years, during which he contributed to curriculum development and language instruction. Dr. Rahimi is currently involved in the FORTHEM Research Project and the SOCIEMOVE project, where he serves as a mentor researcher and focuses on developing socioemotional skills through virtual exchange. Additionally, he has conducted workshops for language teachers, helping them incorporate technology into their teaching practices. His research, which bridges the gap between language learning and technology, has led to numerous publications in high-impact journals. Dr. Rahimi’s professional experience reflects his dedication to enhancing language education through innovative methodologies and research-driven approaches.

Research Interest

Dr. Amir Reza Rahimi’s research interests primarily focus on the intersection of language education, technology, and learner motivation. His work explores various aspects of computer-assisted language learning (CALL), particularly how digital tools and virtual exchanges can enhance language learning experiences. Dr. Rahimi is deeply interested in the role of massive open online courses (MOOCs) and the development of self-regulation and motivation in online language learners. He also delves into psycholinguistics, exploring how emotional and psychological factors influence language acquisition. His research further investigates the impact of socioemotional skills on language learners, especially through virtual exchange programs like SOCIEMOVE. Additionally, he examines theory development in education, with a particular emphasis on innovative research designs, such as bisymmetric approaches. Dr. Rahimi’s work aims to bridge the gap between technology and language teaching, contributing to the advancement of both educational theory and practice in the digital age.

Award and Honor

Dr. Amir Reza Rahimi has received several prestigious awards and honors for his outstanding contributions to language education and research. Notably, he won the Best Research Award in Innovation in Data Analysis from ScienceFather for introducing a new research design to the field of education, specifically a bisymmetric research design. This recognition highlights his innovative approach to research methodology, particularly in the context of computer-assisted language learning (CALL). Dr. Rahimi’s research has also earned him multiple publications in top-tier journals such as Computer-Assisted Language Learning, Computers in Human Behavior Reports, and Education and Information Technologies, where his work on language learning, virtual exchange, and online motivation has gained significant academic attention. His accomplishments have been further acknowledged through his active participation in international conferences, including the TESOL International Convention and the World CALL Conference. Dr. Rahimi’s honors reflect his commitment to advancing language education through technology and innovation.

Conclusion

Amir Reza Rahimi is a highly accomplished researcher whose contributions to CALL, psycholinguistics, and educational technology make him a strong contender for the Best Researcher Award. His innovative approaches, impactful publications, and leadership in international projects are commendable. To further solidify his candidacy, increased interdisciplinary collaboration, a focus on societal impact, and broader dissemination of his work are recommended. Overall, his profile aligns well with the criteria for excellence in research, making him a suitable nominee for this award.

Publications Top Noted

  • The role of university teachers’ 21st-century digital competence in their attitudes toward ICT integration in higher education: Extending the theory of planned behavior
    Authors: AR Rahimi, D Tafazoli
    Year: 2022
    Citation: The JALT CALL Journal, 18(2), 1832-4215
  • Unifying EFL learners’ online self‑regulation and online motivational self‑system in MOOCs: A structural equation modeling approach
    Authors: AR Rahimi, Z Cheraghi
    Year: 2022
    Citation: Journal of Computers in Education, 9(4)
  • EFL learners’ attitudes toward the usability of LMOOCs: A qualitative content analysis
    Authors: AR Rahimi, D Tafazoli
    Year: 2022
    Citation: The Qualitative Report, 27(1), 158-173
  • The role of EFL learners’ L2 self-identities, and authenticity gap on their intention to continue LMOOCs: Insights from an exploratory partial least approach
    Author: AR Rahimi
    Year: 2023
    Citation: Computer Assisted Language Learning, 1-32
  • Online motivational self-system in MOOC: A qualitative study
    Author: AR Rahimi
    Year: 2021
    Citation: From emotion to knowledge: emerging ecosystems in language learning, 79-86
  • Beyond digital competence and language teaching skills: The bi-level factors associated with EFL teachers’ 21st-century digital competence to cultivate 21st-century digital skills
    Author: AR Rahimi
    Year: 2024
    Citation: Education and Information Technologies, 29(8), 9061-9089
  • A bi-phenomenon analysis to escalate higher educators’ competence in developing university students’ information literacy (HECDUSIL): The role of language lecturers’ conceptual …
    Author: AR Rahimi
    Year: 2024
    Citation: Education and Information Technologies, 29(6), 7195-7222
  • The role of twenty-first century digital competence in shaping pre-service teacher language teachers’ twenty-first century digital skills: the Partial Least Square Modeling …
    Authors: AR Rahimi, Z Mosalli
    Year: 2024
    Citation: Journal of Computers in Education
  • A tri-phenomenon perspective to mitigate MOOCs’ high dropout rates: the role of technical, pedagogical, and contextual factors on language learners’ L2 motivational selves, and …
    Author: AR Rahimi
    Year: 2024
    Citation: Smart Learning Environments, 11(1), 11
  • Determinants of Online Platform Diffusion during COVID-19: Insights from EFL Teachers’ Perspectives
    Authors: AR Rahimi, S Atefi Boroujeni
    Year: 2022
    Citation: Journal of Foreign Language Teaching and Translation Studies, 7(4), 111-136
  • The role of ChatGPT readiness in shaping language teachers’ language teaching innovation and meeting accountability: A bisymmetric approach
    Authors: AR Rahimi, A Sevilla-Pavón
    Year: 2024
    Citation: Computers and Education: Artificial Intelligence, 7, 100258
  • Exploring the direct and indirect effects of EFL learners’ online motivational self-system on their online language learning acceptance: the new roles of current L2 self and …
    Authors: AR Rahimi, Z Mosalli
    Year: 2024
    Citation: Asian-Pacific Journal of Second and Foreign Language Education, 9(1), 49

Nunzio Alberto Borghese | Computer Science | Best Researcher Award

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Prof. Nunzio Alberto Borghese | Computer Science | Best Researcher Award

Full professor at Università degli Studi di MIlano, Italy

Professor N. Alberto Borghese is a renowned researcher in computational intelligence and its application to real-world problems. He graduated magna cum laude in Electrical Engineering from Politecnico di Milan and has held significant academic positions, including Full Professor at the University of Milan. His research focuses on innovative methods such as multi-scale hierarchical neural networks, adaptive clustering, and statistical data processing, with particular emphasis on limited processing time. He has made notable contributions to e-Health and robotics, integrating AI, service robots, virtual communities, and smart objects to improve healthcare and welfare systems. With over 90 journal papers, 140+ conference papers, and 16 international patents, he has a strong academic and industrial impact. He has led several high-profile projects funded by the European Commission and Italian government, including REWIRE, MOVECARE, and AIRCA. His work continues to advance the intersection of AI, robotics, and healthcare, addressing critical societal needs.

Professional Profile 

Education

Professor N. Alberto Borghese received his education in Electrical Engineering, graduating magna cum laude in 1986 from Politecnico di Milan, one of Italy’s leading institutions. This strong academic foundation laid the groundwork for his extensive research career. His academic journey furthered through his role as a tenured researcher at the National Research Council (CNR) from 1987 to 2000, where he began developing his expertise in computational intelligence. This led to his appointment as an Associate and later Full Professor at the Department of Computer Science, University of Milan (UNIMI). At UNIMI, he also directs the Laboratory of Applied Intelligent Systems, where he has mentored students and led cutting-edge research projects. Professor Borghese’s education and professional development have been marked by continuous innovation, research leadership, and a commitment to applying his knowledge to real-world challenges, particularly in e-Health, robotics, and AI.

Professional Experience

Professor N. Alberto Borghese has had a distinguished professional career, beginning as a tenured researcher at the National Research Council (CNR) from 1987 to 2000. During this time, he built a strong foundation in computational intelligence. He then transitioned to the University of Milan (UNIMI), where he became an Associate Professor and later a Full Professor in the Department of Computer Science. At UNIMI, he also directs the Laboratory of Applied Intelligent Systems, where he leads innovative research projects focused on AI, robotics, and e-Health. Throughout his career, he has contributed to over 90 journal papers, more than 140 conference papers, and holds 16 international patents. Professor Borghese has led several major research projects funded by the European Commission, including REWIRE, MOVECARE, and FITREHAB, and has been involved in multiple Italian government-funded initiatives. His work bridges academia and industry, addressing pressing societal needs in healthcare and welfare through technological advancements.

Research Interest

Professor N. Alberto Borghese’s research interests lie primarily in the field of computational intelligence, focusing on the development and application of advanced algorithms to solve real-world problems. He specializes in multi-scale hierarchical neural networks, adaptive clustering, and statistical data processing, with an emphasis on optimizing solutions for limited processing time. His work extends to the integration of Artificial Intelligence (AI) and robotics, particularly in the domains of e-Health and e-Welfare. Professor Borghese has pioneered the use of service robots, virtual communities, and smart objects, creating innovative platforms that enhance healthcare and welfare systems. His research also explores the intersection of AI with healthcare technologies such as exer-games, aiming to improve accessibility and promote well-being. Additionally, he has a strong focus on interdisciplinary collaboration, leading several European and Italian research projects that combine AI, robotics, and human-centered design to address societal challenges in health, aging, and rehabilitation.

Award and Honor

Professor N. Alberto Borghese has received numerous awards and honors throughout his distinguished academic and research career. His recognition stems from his innovative contributions to computational intelligence, AI, and robotics, particularly in the fields of e-Health and e-Welfare. With over 90 journal papers and 140+ conference papers, his research has garnered widespread acclaim, reflected in his h-index of 42. He has also been honored for his extensive intellectual property contributions, holding 16 international patents. His leadership in research has been recognized through his involvement in high-profile projects funded by the European Commission and Italian government, such as REWIRE (FP7), MOVECARE (H2020), and AIRCA (2023-2025). These honors not only underline his academic excellence but also highlight his impact on advancing technology in healthcare and welfare systems. His continued success in securing major funding and his role in shaping interdisciplinary research make him a highly respected figure in his field.

Conclusion

Based on his exceptional academic qualifications, pioneering research in computational intelligence and e-Health, leadership in high-profile projects, and impressive publication and patent record, N. Alberto Borghese is a highly suitable candidate for the Best Researcher Award. Addressing minor improvements in public engagement and cross-disciplinary impact could further strengthen his candidacy. Nonetheless, his proven expertise and contributions make him a deserving nominee.

Publications Top Noted

  • Kinematic determinants of human locomotion
    • Authors: N. Alberto Borghese, L. Bianchi, F. Lacquaniti
    • Year: 1996
    • Citations: 553
  • Different brain correlates for watching real and virtual hand actions
    • Authors: D. Perani, F. Fazio, N. A. Borghese, M. Tettamanti, S. Ferrari, J. Decety, …
    • Year: 2001
    • Citations: 402
  • Autocalibration of MEMS accelerometers
    • Authors: I. Frosio, F. Pedersini, N. A. Borghese
    • Year: 2008
    • Citations: 261
  • Time-varying mechanical behavior of multijointed arm in man
    • Authors: F. Lacquaniti, M. Carrozzo, N. A. Borghese
    • Year: 1993
    • Citations: 202
  • Internal models of limb geometry in the control of hand compliance
    • Authors: F. Lacquaniti, N. A. Borghese, M. Carrozzo
    • Year: 1992
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Anup Burange | Computer Science | Best Researcher Award

Published on by Global Scholar Awards

Dr. Anup Burange | Computer Science | Best Researcher Award

Assistant Professor of Prof. Ram Meghe Institute of Technology & Research, Badnera, India

Dr. Anup W. Burange is an esteemed academic based in Amravati, Maharashtra, India. He serves as an Assistant Professor in the IT department at Prof Ram Meghe Institute of Technology & Research 👩‍🏫. With a Ph.D. in Computer Science & Engineering from SGB Amravati University 🎓, he excels in teaching core IT subjects and has published around 20 articles 📚. As a departmental Training & Placement coordinator, he has engaged over 50 companies for campus placements 🎓. Dr. Burange’s dedication is reflected in consistently high student evaluations 📈 and his extensive technical expertise 🤖📊.

Professional profile
Education📚

Dr. Anup W. Burange has an impressive educational background in the field of Information Technology. He earned his Ph.D. in Computer Science & Engineering from SGB Amravati University in February 2024 🎓. Prior to that, he completed his Master of Engineering in Information Technology at Prof. Ram Meghe Institute of Technology & Research, Amravati, Maharashtra, in June 2014, achieving an aggregate pointer of 8.38 🎓. He also holds a Bachelor of Engineering degree in Information Technology from Sipna’s College of Engineering & Technology, Amravati University, Maharashtra, which he completed in June 2011 with an aggregate of 69.14% 🎓. Dr. Burange’s academic journey began with his Higher Secondary Certificate (HSC) from the Maharashtra State Board, where he scored 73% 📜, followed by his Secondary School Certificate (SSC) from the same board, with a score of 76.66% 📜

Professional Experience🏛️

Dr. Anup W. Burange has extensive professional experience as an Assistant Professor in the IT department at Prof Ram Meghe Institute of Technology & Research in Badnera-Amravati, Maharashtra, India, a position he has held since November 2011 👩‍🏫. He teaches core IT subjects such as Computer Architecture & Organization, Operating Systems, and various programming languages (C, C++, Java, Python) 📚. As the departmental Training & Placement coordinator since 2014, Dr. Burange has successfully engaged over 50 companies for campus placements 🎓. He consistently receives high student evaluations, with scores exceeding 85% over the past four years 📈. Additionally, he has published about 20 articles in reputed journals and guided more than 50 students in their final year projects 👨‍💻. He also served as a masking officer for end semester examinations 📝.

Research Interest🌐

Dr. Anup W. Burange’s research interests lie in the realms of Information Technology and Computer Science, with a strong focus on emerging technologies. He is deeply engaged in exploring advancements in Artificial Intelligence 🤖, Machine Learning 📈, and Data Science 📊. His work also delves into the development and optimization of programming languages like C, C++, Java, and Python 🐍. Dr. Burange is passionate about enhancing educational methodologies and integrating innovative technological solutions in IT education 🎓. His commitment to research is reflected in his numerous publications and contributions to reputable journals 📚.

Awards and Honors🏆

Dr. Anup W. Burange has been recognized for his exemplary contributions to academia and research with several awards and honors 🏆. He has consistently achieved student evaluations exceeding 85% over the past four years, highlighting his dedication to teaching excellence 📈. As a testament to his research prowess, Dr. Burange has published approximately 20 articles in well-reputed journals 📚. His efforts in facilitating campus placements have also been commendable, successfully engaging over 50 companies for Prof Ram Meghe Institute of Technology & Research 🎓. Dr. Burange’s accolades reflect his commitment to advancing the field of Information Technology and education.

Research skill🔬

Dr. Anup W. Burange possesses a robust set of research skills in the field of Information Technology and Computer Science. He is proficient in Artificial Intelligence 🤖 and Machine Learning 📈, with a keen ability to apply these technologies to real-world problems. Dr. Burange excels in programming languages such as C, C++, Java, and Python 🐍, leveraging these skills for data analysis and algorithm development. His expertise extends to Data Science 📊, where he employs statistical methods and data visualization techniques. Dr. Burange is also adept at academic writing and publishing, with around 20 articles in reputed journals 📚, showcasing his ability to conduct and disseminate impactful research.

Achievements🏅
  • 🏆 High Student Evaluation Scores: Consistently received student evaluations exceeding 85% over the past four years 📈.
  • 🎓 Successful Campus Placements: Engaged over 50 companies for campus placements at Prof Ram Meghe Institute of Technology & Research.
  • 📚 Research Publications: Published around 20 articles in well-reputed journals, contributing significantly to the field of Information Technology.
  • 👨‍💻 Guided Final Year Projects: Supervised more than 50 student final year projects, focusing on innovative IT solutions and technologies.
  • 📝 Academic Leadership: Served as a masking officer for end semester examinations, demonstrating leadership and organizational skills.
Projects🛠️
  • 🧑‍💻 Student Final Year Projects: Guided over 50 student projects on topics such as Artificial Intelligence 🤖, Machine Learning 📈, and Data Science 📊.
  • 💻 Programming Solutions Development: Worked on projects involving optimization and development using programming languages like C, C++, Java, and Python 🐍.
  • 📊 Data Visualization Tools: Developed tools for effective data visualization and analysis.
  • 🕵️‍♂️ Real-Time Detection Systems: Contributed to projects involving real-time detection and monitoring systems.
  • 📚 Educational Methodologies: Implemented innovative approaches to enhance IT education and practical learning experiences.
Publications📜
  • Article
    Title: Safeguarding the Internet of Things: Elevating IoT routing security through trust management excellence
    Authors: Burange, A.W., Deshmukh, V.M., Thakare, Y.A., Shelke, N.A.
    Journal: Computer Standards and Interfaces
    Year: 2025
    Citations: 0 🔍
  • Book Chapter
    Title: Different Security Breaches in Patients’ Data and Prevailing Ways to Counter Them
    Authors: Burange, A.W., Deshmukh, V.M.
    Book: Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions
    Year: 2024
    Pages: 149–159
    Citations: 0 🔍
  • Article
    Title: Securing IoT Attacks: A Machine Learning Approach for Developing Lightweight Trust-Based Intrusion Detection System
    Authors: Burange, A.W., Deshmukh, V.M.
    Journal: International Journal on Recent and Innovation Trends in Computing and Communication
    Year: 2023
    Volume: 11(7), pp. 14–22
    Citations: 0 🔍
  • Article
    Title: Trust based secured Routing system for low powered networks
    Authors: Burange, A.W., Deshmukh, V.M.
    Journal: Journal of Integrated Science and Technology
    Year: 2023
    Volume: 11(1), 431
    Citations: 2 🔍
  • Conference Paper
    Title: Detection of Rank, Sybil and Wormhole Attacks on RPL Based Network Using Trust Mechanism
    Authors: Burange, A.W., Deshmukh, V.M.
    Conference: CEUR Workshop Proceedings
    Year: 2021
    Volume: 3283, pp. 152–162
    Citations: 1 🔍
  • Conference Paper
    Title: Secured Routing System for Low Energy Networks
    Authors: Burange, A.W., Deshmukh, V.M.
    Conference: Lecture Notes in Networks and Systems
    Year: 2021
    Volume: 164, pp. 165–173
    Citations: 0 🔍
  • Conference Paper
    Title: Implementation of security algorithm and achieving energy efficiency for increasing lifetime of wireless sensor network
    Authors: Misalkar, H., Nikam, U., Burange, A.
    Conference: Communications in Computer and Information Science
    Year: 2019
    Volume: 839, pp. 298–307
    Citations: 0 🔍
  • Conference Paper
    Title: Security in MQTT and CoAP Protocols of IoT’s application layer
    Authors: Burange, A., Misalkar, H., Nikam, U.
    Conference: Communications in Computer and Information Science
    Year: 2019
    Volume: 839, pp. 273–285
    Citations: 2 🔍
  • Conference Paper
    Title: Increasing lifespan and achieving energy efficiency of wireless sensor network
    Authors: Misalkar, H.D., Burange, A.W., Nikam, U.V.
    Conference: 2016 International Conference on Information Communication and Embedded Systems (ICICES 2016)
    Year: 2016
    Citations: 3 🔍
  • Conference Paper
    Title: Review of Internet of Things in development of smart cities with data management & privacy
    Authors: Burange, A.W., Misalkar, H.D.
    Conference: 2015 International Conference on Advances in Computer Engineering and Applications (ICACEA 2015)
    Year: 2015
    Pages: 189–195
    Citations: 48 🔍