Hemraj | Algorithms | Best Researcher Award

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Mr. Hemraj | Algorithms | Best Researcher Award

Research Scholar at IIT Guwahati, India.

Dr. Hemraj Raikwar is a Ph.D. research scholar in the Department of Computer Science & Engineering at IIT Guwahati, specializing in theoretical computer science and dynamic graph algorithms. His research focuses on designing incremental, decremental, and fully dynamic algorithms for maintaining approximate Steiner trees in dynamic graphs. With a strong foundation in algorithm analysis, object-oriented programming, and machine learning, he has contributed to top-tier international conferences and journals. His work has been recognized with the Outstanding Paper Award at CANDAR 2023, and he actively reviews for leading computer science journals.

Professional Profile:

Scopus

Orcid

Google Scholar 

Education Background

Dr. Raikwar is currently pursuing a Ph.D. in Computer Science & Engineering at IIT Guwahati, where he is working under the supervision of Prof. Sushanta Karmakar on developing efficient dynamic algorithms for the Steiner tree problem. He earned his B.Tech in Computer Science & Engineering from Guru Ghasidas Central University, Bilaspur, graduating with an 8.81 CGPA in 2018. His early education was at Jawahar Navodaya Vidyalaya, Khurai, where he excelled in mathematics and computer science, scoring 88.6% in higher secondary.

Professional Development

Dr. Raikwar has been an active reviewer for the American Journal of Computer Science and Technology since April 2024. He has also served as a Computing Lab Teaching Assistant at IIT Guwahati in multiple academic terms, including 2019, 2020, and 2022, where he mentored students in data structures and programming. His experience spans algorithm analysis, machine learning, Linux-based programming, and dynamic algorithm techniques, making him proficient in teaching and research.

Research Focus

Dr. Raikwar’s research primarily focuses on dynamic graph algorithms, with an emphasis on the Steiner tree problem. He works on designing incremental, decremental, and fully dynamic algorithms that maintain efficient approximations of Steiner trees in evolving graphs. His broader interests include algorithm optimization, combinatorial optimization, approximation algorithms, and artificial intelligence, particularly in applications requiring fast and scalable algorithmic solutions.

Author Metrics:

Dr. Raikwar has published extensively in leading IEEE, ACM, and computational science journals. His notable works include:

  • “Fully Dynamic Algorithm for Steiner Tree Using Dynamic Distance Oracle”, ICDCN 2022
  • “Fully Dynamic Algorithm for the Steiner Tree Problem in Planar Graphs”, CANDARW 2022
  • “An Incremental Algorithm for (2−𝜖)-Approximate Steiner Tree”, CANDAR 2023 (Outstanding Paper Award)
  • “Dynamic Algorithms for Approximate Steiner Trees”, Concurrency & Computation, 2025

His research contributions have been recognized in international conferences, earning best paper awards and citations in algorithmic research.

Honors & Awards

Dr. Raikwar has received several prestigious accolades, including the Outstanding Paper Award at CANDAR 2023 for his contributions to dynamic Steiner tree algorithms. He secured a GATE score of 671/1000 with an AIR of 840 and was selected for the Indo-German School for Algorithms in Big Data at IIT Bombay (2019). His academic achievements also include 1st position in the International Science Talent Search Exam (2007) and a 100% score in Logical Reasoning in the Science Olympiad Foundation (2010).

Publication Top Notes

1. Calorie Estimation from Fast Food Images Using Support Vector Machine

Authors: H. Raikwar, H. Jain, A. Baghel
Journal: International Journal on Future Revolution in Computer Science
Year: 2018
Citations: 9

2. Fully Dynamic Algorithm for the Steiner Tree Problem in Planar Graphs

Authors: H. Raikwar, S. Karmakar
Conference: 2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW)
Year: 2022
Citations: 1

3. An Incremental Algorithm for (2-ε)-Approximate Steiner Tree Requiring O(n) Update Time

Authors: H. Raikwar, S. Karmakar
Conference: 2023 Eleventh International Symposium on Computing and Networking (CANDAR)
Year: 2023

4. Fully Dynamic Algorithm for Steiner Tree using Dynamic Distance Oracle

Authors: H. Raikwar, S. Karmakar
Conference: Proceedings of the 23rd International Conference on Distributed Computing (DISC)
Year: 2022

Conclusion

Dr. Hemraj Raikwar has demonstrated outstanding research capabilities, strong academic excellence, and impactful contributions to theoretical computer science. His expertise in dynamic graph algorithms, algorithmic optimization, and AI-driven techniques makes him a deserving candidate for the Best Researcher Award.

With further expansion into global collaborations, industry applications, and high-impact journal publications, he can solidify his position as a leading researcher in algorithmic science.

Xin Liu | Deep Learning | Best Researcher Award

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Dr. Xin Liu | Deep Learning | Best Researcher Award

Associate Professor at Wenzhou Business College, China📖

Dr. Xin Liu is an Associate Professor and Physical Education Teacher at Wenzhou Business College. With a strong academic background in physical training and deep learning, his research focuses on integrating technology with sports science to optimize athletic performance and injury prevention. His work leverages infrared thermal imaging and deep learning models to analyze heat energy expenditure in athletes. He has authored two books and actively contributes to advancing sports training methodologies through innovative research.

Profile

Orcid Profile

Education Background🎓

  • Ph.D. in Physical Education, Jose Rizal University, 2020–2023
  • Master’s in Physical Education, Shanghai Normal University, 2017–2019
  • Bachelor’s in Physical Education, Shandong Agricultural University, 2013–2017

Professional Experience🌱

  • Physical Education Teacher, Wenzhou Business College (2024–Present)
    Engaged in teaching and research on physical training methodologies, integrating AI-driven analytics in sports science.
  • Researcher in Sports Science & Deep Learning Applications
    Focused on using AI models, particularly CNN, to predict and enhance athletic performance.
Research Interests🔬
  • Physical Training & Sports Performance Optimization
  • Application of Deep Learning in Sports Science
  • Infrared Thermal Imaging for Athlete Monitoring

Author Metrics

Dr. Xin Liu has made significant contributions to the field of physical training and sports science through his research on integrating deep learning models with infrared thermal imaging technology. He has authored two books (ISBN: 978-7-5498-5469-1, 978-7-7800-2061-9) that focus on advancements in sports performance and training methodologies. His research includes two completed/ongoing projects, with findings published in reputed platforms such as Elsevier (Link). While his citation index is yet to be established, his pioneering work in applying AI-driven techniques to athlete monitoring is gaining recognition in the academic community.

Publications Top Notes 📄
Simulation of Infrared Thermal Images Based on Deep Learning in Athlete Training: Simulation of Thermal Energy Consumption
  • Authors: Xin Liu, Li Zhang, Wei Chen
  • Journal: Heliyon
  • Volume: 11
  • Issue: 1
  • Publication Date: January 2025
  • Article Number: e00823
  • DOI: Link to Article
  • Publisher: Elsevier
  • Abstract Summary: This study explores the application of deep learning techniques to simulate infrared thermal images for analyzing and predicting athletes’ thermal energy consumption. The research highlights how AI-driven thermal imaging enhances training efficiency, minimizes injury risks, and provides insights into optimizing sports performance.

Conclusion

Dr. Xin Liu is a strong candidate for the Best Researcher Award due to his innovative contributions in integrating deep learning and infrared thermal imaging in sports science. His research holds substantial potential for real-world applications, optimizing athlete performance, and advancing AI-driven monitoring techniques. With continued efforts in increasing citations, industry collaborations, and publishing in high-impact journals, he can further solidify his position as a leading researcher in the field.

Micheal Olaolu Arowolo – Artificial intelligence – Excellence in Innovation

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Micheal Olaolu Arowolo – Artificial intelligence – Excellence in Innovation

Dr. Micheal Olaolu Arowolo  distinguished academic and researcher in the field Artificial Intelligence. He holds several academic and professional memberships. In March 2021, he became a member of the Institute of Electrical and Electronics Engineers (IEEE), with membership number 96234988. He joined the Asia Pacific Institute of Science and Engineering (APISE) in September 2019, holding membership number M20190918110. In May 2019, he became a member of both the International Society for Computational Biology (ISCB) and the Nigerian Bioinformatics and Genomics Network (NBGN), with membership number NBGNI380. He also joined the Society of Digital Information and Wireless Communications (SDIWC) in March 2017 and the European Alliance for Innovation (EAI) in February 2017. Additionally, he has been a member of the International Association of Engineers (IAENG) since September 2015, with membership number 158851. His professional certifications include being an Oracle Database SQL Certified Expert from Oracle University, achieved in March 2014. Moreover, he is indexed on Scopus (57214819505), ORCID (0000-0002-9418-5346), and Web of Science Researcher (ABD-4157-202), all obtained in 2019.

 

🌐 Professional Profile

Educations📚📚📚

He attended several academic institutions, beginning with ECWA L.G.E.A Primary School ‘B’ in Ilorin, Kwara State, where he obtained his First School Leaving Certificate (FSLC) from 1991 to 1998. He then moved on to Modelak Science College in Ilorin, completing his Senior School Certificate Examination (SSCE) between 1998 and 2004. For his undergraduate studies, he attended Al-Hikmah University in Ilorin, Kwara State, earning a Bachelor of Science (B.Sc.) degree in Computer Science with Second Class Honors (Lower Division) from 2008 to 2012. Continuing his education, he obtained a Master of Science (M.Sc.) degree in Computer Science from Kwara State University in Malete, Kwara State, between 2014 and 2017. Finally, he completed his academic journey at Landmark University in Omu-aran, Kwara State, where he earned a Doctor of Philosophy (Ph.D.) in Computer Science from 2018 to 2021.

Work Experience:

He has held various academic and professional positions throughout his career. Since 2022, he has been serving as a Research Scholar, Instructor, and Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri, Columbia, specifically at the Christopher S. Bond Life Sciences Center. In 2021, he was a Lecturer II in the Department of Computer Science at Landmark University, Omu-Aran, Kwara State, Nigeria, and prior to that, from 2020 to 2021, he worked there as an Assistant Lecturer. From 2018 to 2020, he was a Graduate Lecturer in the Department of Computer Science at the Institute of Professional Studies, Kwara State University, Malete. In 2019, he served as an Ad-Hoc Staff for the Independent National Electoral Commission (INEC) in Nigeria, working as an Oke-Ode Ad-Hoc Registration Area Technician for the Kwara State Election. His earlier roles include being an IT Consultant at Dalayak IT Consults from 2016 to 2017, a Computer Analyst at Baylings Enterprises from 2013 to 2015, and a Computer Analyst for the Ogun-Oshun River Basin Development Authority during his National Youth Service Corps (NYSC) from November 2012 to October 2013.

Academic and Administrative Positions Held

He has served in various academic and administrative roles, including being the Academic Level Adviser for Computer Science 400L students and the Examination Officer for the Computer Science department at Landmark University from 2021 to 2022. Additionally, he was a member of the University Ranking Committee at Landmark University in 2022. He contributed to the university community by being a member of the Landmark University Sustainable Development Goal 9 group focused on industry, innovation, and infrastructure. He also served on the Local Organizing Committee (LOC) for the 2nd Nigerian Bioinformatics and Genomics Network (#NBGN21) Conference in 2021. Furthermore, he acted as the Social Director of the Al-Hikmah University Alumni Association and was an instructor for H3ABioNet’s Introduction to Bioinformatics course (IBT_2021).

His personal qualities include good logical skills, a strong personality, excellent communication abilities, keen observation, quick learning, multitasking, and proficiency in computing. Throughout his career, he has supervised over 40 undergraduate students (B.Sc.) on their projects, theses, and dissertations.

📝🔬Publications📝🔬

Muhammad Nawaz – Geo Artificial Intelligence Award – Best Researcher Award

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Muhammad Nawaz – Geo Artificial Intelligence Award – Best Researcher Award

Dr. Muhammad Nawaz distinguished academic and researcher in the field Geo  Artificial Intelligence. He has held various academic positions spanning nearly four decades. Beginning his career as a secondary science teacher at the Institute of Academic Service in Lahore, Pakistan, from 1986 to 1990, he then transitioned into roles within the field of geography and GIS. His journey in academia led him to serve as a Subject Specialist in Geography for the Ministry of Education, Government of Punjab, Pakistan, from 1990 to 1993. Subsequently, he embarked on a career in higher education, holding positions such as Lecturer in Geography at Punjab University from 1993 to 1999, followed by roles as Assistant Professor and later as Associate Professor in GIS, along with various administrative responsibilities including Associate Head and Coordinator of the M.Sc. GIS Program at Punjab University from 1999 to 2006. He expanded his international experience by serving as a Lecturer in Environmental Science eLearning at the School of Environment, Charles Darwin University (CDU), Australia, from 2007 to 2012, and then as a Lecturer/Coordinator of the Tertiary Enabling Program (Environment & Geoscience) at CDU from 2012 to 2015. Since 2015, he has been contributing his expertise as a Senior Lecturer in the Department of Geography at the National University of Singapore. Throughout his career, he has demonstrated a commitment to education and has made significant contributions to the fields of geography, environmental science, and geoscience education.

🌐 Professional Profiles

Educations📚📚📚

He holds a diverse range of qualifications reflecting his dedication to academic excellence and professional development. His educational journey began with a Bachelor’s degree in Geography, with majors in Geology and Chemistry, from Bahauddin Zakariya University, Pakistan, in 1986. Building upon this foundation, he pursued a Master’s degree in Geography from Punjab University, Pakistan, in 1990. Continuing his academic pursuits, he obtained a Master of Science in Geoinformatics from the University of Twente – ITC, Netherlands, in 1998, further specializing in the field. In 2010, he achieved a significant milestone by earning his Doctor of Philosophy in Environmental Science from Charles Darwin University (CDU), Australia, showcasing his commitment to advanced research and scholarship. Recognizing the importance of pedagogical skills in higher education, he completed a Graduate Certificate in Teaching and Learning in Higher Education from CDU in 2012. This extensive educational background underscores his expertise and dedication to his field, enabling him to make significant contributions to academia and research throughout his career.

Teaching Experience

With an extensive background in teaching, he has been actively engaged in educating students in various facets of geography and environmental science since 2015 at the Department of Geography, National University of Singapore. His teaching portfolio encompasses a wide array of courses catering to different aspects of spatial data handling, GIS applications, environmental modeling, earth surface processes, energy futures, and terrestrial and coastal environments.

In courses such as Spatial Data Handling (GE6211), GIS Application (GE5226), and Environment Modelling (GE4212), he imparts knowledge on topics ranging from spatial data mining, big data analytics, and spatial uncertainty to ecological models, epidemic dynamics, and environmental modeling with GIS and remote sensing.

Moreover, his expertise extends to courses like Earth Surface Processes, Landform, and Ecosystem (GE3256), Energy Futures, Environment, and Sustainability (GE3254), and Planet Earth (XD3103), where he delves into subjects such as geomorphological processes, climate change, global energy resources, and the geological evolution of Earth.

Additionally, he plays a pivotal role in educating students on water and environmental issues in courses like Water and Environment (GE2229) and Terrestrial and Coastal Environments (GE2220), covering topics such as catchment hydrology, fluvial geomorphology, coastal processes, and landforms.

Furthermore, he contributes to courses like The Biophysical Environment of Singapore (GES1004/GESS1002), providing insights into Singapore’s geology, weather, climate, soil erosion, and coastal processes, tailored to the local context.

Through his teaching endeavors, he enriches students’ understanding of geographical and environmental concepts, equipping them with the knowledge and skills necessary to address contemporary challenges in these fields.

Recent Teaching, Research and Service Awards

He has been consistently recognized for his outstanding contributions in teaching, research, and service within the academic community. In 2023, he received the Annual Digital Education Award (ADEA 2023) from the National University of Singapore, acknowledging his innovative approaches to digital education. Additionally, he was honored with the NUS Safety & Health Commitment Award (NUSSHA 2023) by the Office of Risk and Management Compliance (ORMC) for his dedication to ensuring safety and health standards in academic environments.

In 2022, his commitment to teaching excellence was recognized with the Faculty Teaching Excellence Award (FTEA 2022) from the Faculty of Arts and Social Science at the National University of Singapore. Furthermore, his research efforts were acknowledged with the Encouragement (Research) Award (PUPP 2022) from the Wuhan Municipal Bureau of Natural Resources & Planning, China, highlighting his significant contributions to the field.

Moreover, in 2021, he was honored with the Service Award and Certificate of Accomplishment (COA 2021) from the Office of Human Resources at the National University of Singapore, underscoring his exemplary service to the university community.

These awards reflect his dedication, expertise, and impact across various domains of academia, demonstrating his commitment to excellence in teaching, research, and service roles.

📝🔬Publications📝🔬