Logeeshan Velmanickam | Energy | Best Researcher Award

Published on 09/08/202409/08/2024 by Book of Award

Dr. Logeeshan Velmanickam | Energy | Best Researcher Award

University of Moratuwa | Sri Lanka

Author profile

🎓 Early Academic Pursuits

Dr. Logeeshan Velmanickam's academic journey is marked by excellence and dedication. He earned his Ph.D. in Electrical and Computer Engineering from North Dakota State University (NDSU) in 2019, graduating with the highest honors, equivalent to Summa Cum Laude, with a perfect GPA of 4.0/4.0. Before that, he completed his B.Sc. in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka, in 2014, where he graduated with First Class Honors.

💼 Professional Endeavors

Dr. Velmanickam has an extensive and impactful career, serving as a Senior Lecturer at the Department of Electrical Engineering, University of Moratuwa (UoM) since 2021. His teaching repertoire includes a variety of subjects such as Theory of Electricity, Circuit Theory, and Digital Signal Processing for undergraduate students, as well as specialized courses like Sensors and Actuators for Automation and Industrial Communication Systems for postgraduate students. His commitment to education is further evident through his involvement in curriculum revision, practical coordination, and supervision of numerous MSc and final year projects.

🔬 Contributions and Research Focus

A prolific researcher, Dr. Velmanickam's work intersects the realms of AI, IoT, and biomedical instrumentation. His research efforts have led to groundbreaking developments in lab-on-a-chip technologies and smart sensors. Notably, he has contributed to the integration of AI techniques in electrical engineering, particularly in designing next-generation biomedical devices. His patent portfolio includes innovations in dielectrophoretic and surface plasmonic apparatuses, which are pivotal in improving the detection of biological molecules.

🏆 Accolades and Recognition

Dr. Velmanickam's academic and professional excellence has been recognized through numerous awards. He has won multiple Best Presenter and Best Paper Awards at prestigious conferences such as the IEEE World AI IoT Congress and the Moratuwa Engineering Research Conference. His achievements also include winning the NDSU Innovation Challenge Competition and receiving the NDSU College of Engineering Graduate Research Assistant of the Year Award. Additionally, he has been honored with memberships in esteemed societies like Phi Kappa Phi and IEEE-Eta Kappa Nu, reserved for those with exemplary academic records.

🌍 Impact and Influence

Dr. Velmanickam's influence extends beyond the classroom and laboratory. As a consultant and senior lecturer, he has been instrumental in the development of rapid COVID-19 detection devices and other innovative solutions in collaboration with institutions like the Arthur C. Clarke Institute for Modern Technologies. His mentorship has shaped the careers of numerous students, fostering a new generation of engineers and researchers.

🛠️ Legacy and Future Contributions

Dr. Velmanickam’s legacy is defined by his relentless pursuit of knowledge and innovation. His work in AI, IoT, and biomedical engineering continues to push the boundaries of what is possible, with a particular focus on developing affordable, cutting-edge solutions for healthcare. As he continues to lead in both academia and industry, his future contributions are poised to make a lasting impact on the fields of electrical engineering and beyond.

Publications ✍️

📄 "NILM for Commercial Buildings: Deep Neural Networks Tackling Nonlinear and Multi-Phase Loads"
Authors: M. J. S. Kulathilaka, S. Saravanan, H. D. H. P. Kumarasiri, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara
Journal: Energies, Year: 2024

📄 "Design and Analysis of a Three-Phase Interleaved DC-DC Boost Converter with an Energy Storage System for a PV System"
Authors: Pirashanthiyah, L., Edirisinghe, H.N., De Silva, W.M.P., Logeeshan, V., Wanigasekara, C.
Journal: Energies, Year: 2024

📄 "A Secure and Smart Home Automation System with Speech Recognition and Power Measurement Capabilities"
Authors: Irugalbandara, C., Naseem, A.S., Perera, S., Kiruthikan, S., Logeeshan, V.
Journal: Sensors, Year: 2023

📄 "Traveling Wave Based Fault Location and Fault Classification Technique for Distribution Networks with High Renewable Penetration"
Authors: Bamunusinghe, D., Peiris, P., Nagarajah, K., Logeeshan, V., Gunawardana, M.
Journal: ICEFEET, Year: 2023

📄 "Optimum Dispatch of Turbines in a Low Head Hydropower Plant for a Given Total Flow Rate and Available Variable Head - A Case Study for Moragahakanda Power Station in Sri Lanka"
Authors: Haputhanthree, H.G.S.V., Logeeshan, V., Wijayapala, W.D.A.S.
Journal: MERCon, Year: 2023

Sasank V.V.S | Computer Science | Best Researcher Award

Published on 22/07/202422/07/2024 by Book of Award

Assist Prof Dr. Sasank V.V.S | Computer Science | Best Researcher Award

K L University | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Sasank V.V.S. exhibited a strong academic foundation from the outset. He completed his secondary education at Jassver English Medium School in 2007 with a First Class distinction, scoring 72.66%. He continued to excel in his Intermediate studies at Mega Junior College, graduating in 2009 with an 84.1% mark, also achieving First Class. His academic journey progressed to higher education at Gitam Institute of Technology, GITAM University, where he obtained his B.Tech in Information Technology in 2013 with a CGPA of 8.15, earning a Distinction. He further advanced his education with an M.Tech in Computer Science and Technology from the same institution, graduating in 2016 with a remarkable 9.11 CGPA, securing the top rank in his department. Dr. Sasank completed his Ph.D. at K.L. University in 2023, marking a significant milestone in his academic career.

Professional Endeavors

Dr. Sasank has a rich professional background in both academia and industry. He began his teaching career as a Teaching Assistant in the CSE Department at Gitam University from October 2015 to April 2016. He then served as an Assistant Professor at the Lendi Institute of Engineering & Technology, VIZIANAGARAM, from June 2016 to April 2017. Following this, he joined Anil Neerukonda Institute of Technology & Sciences (ANITS) as an Assistant Professor and Placement Officer from June 2017 to April 2019. He has been affiliated with K L University since July 2019, initially in the CSE Department and later in the CSIT Department, where he also served as the ERP Registration In-charge. His teaching repertoire includes subjects such as DBMS, Software Engineering, Computer Architecture & Organization, Term Paper, UI/UX Design, and DevOps.

Contributions and Research Focus

Dr. Sasank's research primarily focuses on advanced topics in computer science and engineering. His areas of interest include brain tumor classification, real-time traffic management using IoT and machine learning techniques, and the evolution of modern women in literature. He has published a significant number of papers in reputed journals, including SCI papers and several Scopus-indexed articles. His notable publications include works on hybrid deep neural networks, automatic tumor growth prediction, and brain tumor classification using modified kernel-based softplus extreme learning machines. Additionally, he has guided numerous B.Tech and M.Tech project batches, contributing to the academic growth of his students.

Accolades and Recognition

Dr. Sasank has received several accolades for his academic and research achievements. He was the top ranker in his M.Tech program at Gitam University in 2016. He has published 18 papers, including SCI, Scopus, and WOS-indexed journals, and has contributed to two book chapters. His innovative research has led to the publication of two patents: one on real-time traffic management using IoT and machine learning techniques, and another on the evolution of modern women in Manju Kapur’s novels. Additionally, he has earned global certifications, including Google Associate Cloud Engineer and AWS Cloud Practitioner, and has presented his research at various international conferences.

Impact and Influence

Dr. Sasank's contributions to the field of computer science and engineering have had a significant impact on both academic and practical applications. His research on brain tumor classification and real-time traffic management has potential real-world implications, advancing the fields of medical imaging and smart city technologies. As an educator, he has influenced many students through his teaching and mentorship, guiding them in their academic and research endeavors.

Legacy and Future Contributions

Dr. Sasank's ongoing research and academic activities are expected to leave a lasting legacy in the field of computer science and engineering. His contributions to brain tumor classification and IoT-based traffic management are poised to influence future research and development in these areas. As he continues to publish and present his work, Dr. Sasank is likely to inspire and mentor the next generation of engineers and researchers, ensuring continued innovation and excellence in his field.

Notable Publications

Effective Segmentation and Brain Tumor Classification Using Sparse Bayesian ELM in MRI Images 2023

Hybrid deep neural network with adaptive rain optimizer algorithm for multi-grade brain tumor classification of MRI images 2022 (14)

An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour 2022 (27)

Hate Speech & Offensive Language Detection Using ML &NLP 2022 (4)

Rudresh Dwivedi | Computer Science | Best Researcher Award

Published on 29/06/202429/06/2024 by Book of Award

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

Netaji Subhas University of Technology | India

Author Profile

Scopus

Orcid

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

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)

Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Published on 18/04/202418/04/2024 by Book of Award

Prof. Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Politechnika Lubelska | Poland

Author profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Professor Dariusz Mazurkiewicz embarked on his academic journey by earning a Master’s degree in Mechanical Engineering from the Technical University of Lublin, Poland, in 1991. He further pursued his academic endeavors by completing his doctorate in technical sciences from the same university in 1997. His commitment to scholarly pursuits continued as he successfully passed the final habilitation procedure examination in technical sciences at the Technical University of Lublin in 2011. This foundation laid the groundwork for his illustrious career in academia and research.

Professional Endeavors

Professor Mazurkiewicz’s professional journey is marked by significant achievements and contributions in the fields of engineering and academia. Notably, he was bestowed with the prestigious title of full professor in technical and engineering sciences by the President of the Republic of Poland in 2022. Throughout his career, he has been actively involved in national and international research projects, contributing to advancements in areas such as digital twin technology, systems engineering, and reliability management. He has served as a keynote speaker at various esteemed conferences, sharing his expertise and insights with the global academic community.

Contributions and Research Focus

Professor Mazurkiewicz’s research focus spans a diverse range of topics, including digital twin-based fault prediction, process optimization, and reliability engineering. His pioneering work in developing innovative measurement technologies and digital data processing algorithms has garnered recognition and acclaim from peers worldwide. He has led numerous research projects aimed at enhancing the efficiency and reliability of production systems, thereby contributing to the advancement of industrial practices and technologies.

Accolades and Recognition

Professor Mazurkiewicz’s contributions to academia and research have been recognized through a multitude of awards and distinctions. He has been listed among the world’s top scientists by Stanford University and Elsevier, underscoring the impact of his scholarly endeavors. His research presentations and publications have received accolades such as the Best Paper Award at prestigious international conferences. Additionally, he has been honored by academic institutions and organizations for his outstanding scientific achievements and organizational contributions.

Impact and Influence

Professor Mazurkiewicz’s work has had a profound impact on the fields of engineering, reliability, and systems management. His research findings and innovative methodologies have not only advanced scientific knowledge but also contributed to practical applications in industry and academia. Through his leadership and mentorship, he has inspired future generations of researchers and scholars to pursue excellence in their respective domains, thereby fostering a culture of innovation and inquiry.

Legacy and Future Contributions

Professor Mazurkiewicz’s legacy is characterized by a steadfast commitment to excellence, innovation, and collaboration in research and academia. His continued efforts to push the boundaries of knowledge and technology are poised to shape the future of engineering and reliability sciences. As he continues to lead groundbreaking research initiatives and mentor aspiring scholars, his legacy will endure as a testament to his enduring dedication to advancing the frontiers of scientific inquiry and engineering excellence.

Notable Publications

Novel Approach to Prognostics and Health Management to Combine Reliability and Process Optimisation 2023

Production Process Stability: The Advantages of Going Beyond Qualitative Analysis 2023 (2)

Systems Engineering: Availability and Reliability 2022 (13)

Method for assessing the impact of rainfall depth on the stormwater volume in a sanitary sewage network 2021 (3)