Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Dr. Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Indian Institute of Tropical Meteorology | India

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Early Academic Pursuits

Dr. Bipin Kumar's academic journey began with a Bachelor of Science in Physical Sciences from the University of Allahabad in 1995, followed by a Master of Science in Mathematics from IIT Kanpur in 1998. He then pursued an MS in Research (Mathematics) at the National University of Singapore in 2006, focusing on computational methods for phase-field models. His quest for deeper expertise led him to earn a Ph.D. in Computing from Dublin City University in 2009, with a thesis on high-performance computing for multiphase fluid flows.

Professional Endeavors

Dr. Kumar’s career spans over two decades, encompassing roles in academia, research institutions, and industry. His notable positions include:

  • Scientist and Research Guide at IITM, Pune, India.
  • Associate Professor at Savitribai Phule Pune University.
  • Visiting Scientist at NCAR, Boulder, USA, and Visiting Faculty at McGill University, Canada.
  • Associate Faculty at the International Center for Theoretical Sciences, Bengaluru, India.
  • Scientist at Max-Planck-Institute for Meteorology, Germany.

He has held various teaching and research positions, contributing to advancements in high-performance computing, data science, and atmospheric physics.

Contributions and Research Focus

Dr. Kumar's research is centered around:

  • Data Science and AI/ML: Developing parallel Python routines and deep learning algorithms for weather forecasting, data downscaling, fire forecasting, and more.
  • Atmospheric Physics: Studying cloud droplet and aerosol dynamics using DNS.
  • High-Performance Computing (HPC): Enhancing parallel code for CFD problems, 3D visualization, and parallel I/O optimization.
  • Numerical Linear Algebra: Creating parallel algorithms for solving large linear systems of equations.

Accolades and Recognition

Dr. Kumar has received several prestigious awards:

  • DCU Teaching Excellence Nominee Award (2008)
  • Microsoft Postgraduate Research Scholarship (Ireland, 2007-08)
  • DCU Dean’s Connect Scholarship (Ireland, 2006-09)
  • NUS Research Scholarship (Singapore, 2004-06)
  • CSIR Senior Research Fellowship (India, 2004)

Impact and Influence

Dr. Kumar’s work has significantly influenced fields such as HPC, data science, and atmospheric physics. His contributions to developing computational methods for complex fluid flows and forecasting systems have advanced our understanding of cloud dynamics and weather patterns. His research has impacted both theoretical and practical aspects of meteorology and data analysis.

Legacy and Future Contributions

Dr. Kumar aims to broaden his impact through continued research and teaching. By leveraging his expertise in HPC, data science, and cloud microphysics, he aspires to address critical challenges in earth science and contribute to the development of innovative solutions for climate and environmental issues.

 

   Publications

  • Deep learning-based bias correction of ISMR simulated by GCM
    Authors: Sumanta Chandra Mishra Sharma, Bipin Kumar, Adway Mitra, Subodh Kumar Saha
    Journal: Atmospheric Research
    Year: 2024

 

  • Harnessing deep learning for forecasting fire-burning locations and unveiling PM2.5 emissions
    Authors: Gaikwad, S., Kumar, B., Yadav, P.P., Rao, S.A., Ghude, S.D.
    Journal: Modeling Earth Systems and Environment
    Year: 2024

 

  • Machine learning based quantification of VOC contribution in surface ozone prediction
    Authors: Kalbande, R., Kumar, B., Maji, S., Rathore, D.S., Beig, G.
    Journal: Chemosphere
    Year: 2023

 

  • On the modern deep learning approaches for precipitation downscaling
    Authors: Kumar, B., Atey, K., Singh, B.B., Nanjundiah, R.S., Rao, S.A.
    Journal: Earth Science Informatics
    Year: 2023

 

  • A modified deep learning weather prediction using cubed sphere for global precipitation
    Authors: Singh, M., Acharya, N., Patel, P., Nanjundiah, R.S., Niyogi, D.
    Journal: Frontiers in Climate
    Year: 2023

 

 

 

 

 

 

Debapriya Banik | Computer Science | Best Researcher Award

Dr. Debapriya Banik | Computer Science | Best Researcher Award

ICFAI University | India

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Early Academic Pursuits

Dr. Debapriya Banik embarked on his academic journey with a solid foundation in secondary and higher secondary education at Holy Cross School in Agartala, achieving commendable scores in both ICSE and ISC examinations. His passion for Computer Science led him to pursue a Bachelor of Technology (B.Tech) in Computer Science and Engineering at the National Institute of Technology Agartala, where he graduated with a CGPA of 7.59. His pursuit of higher education continued at Tripura University, where he excelled in his Master of Technology (M.Tech) in Computer Science and Engineering, earning a gold medal for securing the highest percentage. Dr. Banik's academic endeavors culminated in a Doctor of Philosophy (Ph.D.) in Computer Science and Engineering from Jadavpur University, where he focused on developing computer-aided techniques for the early prediction of colorectal cancer based on diagnostic image analysis.

Professional Endeavors

Dr. Banik's professional career is marked by diverse and impactful roles in academia and industry. He began his career as a consultant at Polaris Financial Technology Ltd in Chennai, gaining valuable industry experience. Transitioning to academia, he served as a Junior Research Fellow (JRF) on a DBT Twinning Project at Jadavpur University, working on techniques for pain management and breast cancer using IR imaging. He then became a Senior Research Fellow (SRF)-Direct at Jadavpur University under the sponsorship of the Council for Scientific and Industrial Research, Government of India. His academic career continued to flourish as he took on roles as an Assistant Professor at Techno India in Kolkata and later at ICFAI University in Tripura, where he currently teaches in the Department of Computer Science & Engineering.

Contributions and Research Focus

Dr. Banik's research has significantly contributed to the field of computer science, particularly in medical image analysis. His Ph.D. thesis focused on developing computer-aided techniques for the early prediction of colorectal cancer, leveraging diagnostic image analysis. Additionally, he has worked on the design and development of techniques for pain management and breast cancer using IR imaging. His innovative research approaches have not only advanced the field but also provided practical solutions for critical medical challenges. Dr. Banik's work is characterized by a strong focus on applying machine learning and computational techniques to enhance diagnostic accuracy and efficiency.

Accolades and Recognition

Dr. Banik's academic excellence and research contributions have earned him numerous awards and recognitions. He was awarded a gold medal for his outstanding performance in M.Tech at Tripura University. He received the DST-Inspire fellowship from the Department of Science and Technology, Government of India, and the North Eastern Council (NEC) Scheme fellowship for postgraduate studies. Dr. Banik secured the first position in the Workshop on Machine Learning for Medical Image Analysis (WMLMIA) - Fetal Ultrasound Censor (FUC) Grand Challenge, organized by the Department of Electrical Engineering at IIT Kharagpur. Additionally, he had the opportunity for a short-term research visit to the Medical University of Vienna, Austria, sponsored by DST, Government of India, where he worked on developing a computer-assisted diagnosis system for segmenting and detecting abnormalities and diseases under the supervision of Prof. Christian Kollman.

Impact and Influence

Dr. Banik's work has had a profound impact on the field of medical image analysis, particularly in the early detection and management of diseases such as colorectal and breast cancer. His research has paved the way for more accurate and efficient diagnostic tools, improving patient outcomes and contributing to the advancement of medical technology. As an educator, he has influenced and mentored numerous students, fostering a new generation of computer science professionals who are equipped with cutting-edge knowledge and skills.

Legacy and Future Contributions

Dr. Banik's legacy lies in his dedication to advancing the field of computer science through innovative research and his commitment to education. His work continues to inspire researchers and students alike, and his contributions to medical image analysis have set a high standard for future research in the field. Looking ahead, Dr. Banik aims to further his research on computer-aided diagnosis systems, exploring new applications and techniques to address emerging challenges in healthcare. His future contributions are expected to continue making significant strides in improving diagnostic accuracy and patient care through advanced computational methods.

 

Notable Publications

Robust medical and color image cryptosystem using array index and chaotic S-box 2024

dHBLSN: A diligent hierarchical broad learning system network for cogent polyp segmentation 2024

2pClPr: A Two-Phase Clump Profiler for Segmentation of Cancer Cells in Fluorescence Microscopic Images 2023 (2)

RBECA: A regularized Bi-partitioned entropy component analysis for human face recognition 2022 (1)

LwMLA-NET: A Lightweight Multi-Level Attention-based NETwork for Segmentation of COVID-19 Lungs Abnormalities from CT Images 2022 (39)

 

 

 

Preetom Nag | Mathematics | Best Researcher Award

Dr. Preetom Nag | Mathematics | Best Researcher Award

North South University | Bangladesh

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Early Academic Pursuits

Dr. Preetom Nag's journey in academia began with a strong foundation in science, marked by exceptional achievements. He received an undergraduate board scholarship based on his stellar performance in the Higher Secondary School Certificate (H.S.C.) examination, which funded his undergraduate studies from June 2002 to May 2006. Dr. Nag earned his Bachelor of Science (B.Sc.) from Dhaka University, where his outstanding academic results earned him the Provost Award from Jagannath Hall in 2006.

Professional Endeavors

Dr. Nag's professional career is distinguished by a blend of teaching and research roles. He started as a Senior Teacher in Mathematics at Mastermind English Medium School, Uttara Branch, Dhaka, Bangladesh, from January 2010 to June 2011. Following this, he pursued his Ph.D. at Hokkaido University, Japan, under the Monbukagakusho Scholarship from October 2011 to September 2014. His dissertation focused on "Local-heterogeneous responses and transient dynamics in colloidal fluids," under the supervision of Professor Tamiki Komatsuzaki. Dr. Nag continued his research as a Post-Doctoral Research Fellow at the Research Institute for Electronic Science (RIES), Hokkaido University, from October 2014 to March 2015. He further served as a Visiting Assistant Professor at the same institute from May 2016 to March 2017. Currently, Dr. Nag is an Associate Professor in the Department of Mathematics & Physics at North South University, Dhaka, Bangladesh, where he has been teaching since April 2018.

Contributions and Research Focus

Dr. Nag's research spans several cutting-edge fields, including numerical simulation, computational fluid dynamics, colloidal fluids, dynamical systems theory, chaotic transport, coherent dynamics, and collective cell migration. His work in these areas is characterized by the use of advanced computational techniques to explore complex physical phenomena. He has received numerous research grants for his projects, demonstrating his ability to secure funding and conduct impactful research. Notably, he has been the Principal Investigator for multiple North South University (NSU) research grants from 2019 to 2024 and has directed special research projects funded by the Ministry of Science and Technology, Bangladesh.

Accolades and Recognition

Dr. Nag's academic and research excellence has been recognized through several fellowships and awards. He received a Research Fellowship from the Research Institute for Electronic Science (RIES) at Hokkaido University for his postdoctoral research from October 2014 to March 2015. Additionally, he was awarded the prestigious Monbukagakusho Scholarship by the Ministry of Education, Culture, Sports, Science and Technology, Japan, for his Ph.D. studies from October 2011 to September 2014. Earlier in his academic career, he was honored with the Provost Award from Jagannath Hall, Dhaka University, for his outstanding performance in the B.Sc. examination in 2006.

Impact and Influence

Dr. Nag's research has had a significant impact on the scientific community, particularly in the fields of fluid dynamics and dynamical systems. His work on colloidal fluids and chaotic transport has contributed to a deeper understanding of these complex systems. Through his teaching roles at North South University and American International University-Bangladesh (AIUB), Dr. Nag has influenced a new generation of scientists and engineers, imparting his knowledge and fostering a culture of research and inquiry.

Legacy and Future Contributions

Dr. Nag's legacy is marked by his dedication to advancing scientific knowledge and his commitment to education. His ongoing research projects and collaborations promise to yield further insights into the behavior of complex systems. As an Associate Professor, he continues to mentor students and young researchers, ensuring that his contributions to science and education will have a lasting impact. Looking forward, Dr. Nag's work is expected to continue pushing the boundaries of our understanding of fluid dynamics and related fields, paving the way for new discoveries and technological advancements.

 

Notable Publications

Convective heat transfer efficacy of an experimentally observed non-Newtonian MWCNT-Fe3O4-EG hybrid nanofluid in a driven enclosure with a heated cylinder 2024

Heat transfer assessment incorporated with entropy generation within a curved corner structure enclosing a cold domain 2024

Entropy Production Analysis in an Octagonal Cavity with an Inner Cold Cylinder: A Thermodynamic Aspect 2023 (8)

MRT-lattice Boltzmann simulation of magnetic field effects on heat transfer from a heater in a C-shaped cavity filled with non-Newtonian hybrid nanofluids 2023 (17)

Mesoscopic Simulation of MHD Mixed Convection of Non-Newtonian Ferrofluids with a Non-uniformly Heated Plate in an Enclosure 2022 (14)

 

 

 

Amr Khedr | Engineering | Best Researcher Award

Mr. Amr Khedr | Engineering | Best Researcher Award

Perugia University | Italy

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Early Academic Pursuits

Mr. Amr Khedr commenced his academic journey with a Bachelor's degree in Mechanical Engineering from Alexandria University, graduating with distinction. During his undergraduate years, he delved into the intricacies of fluid mechanics, a precursor to his future endeavors in wind turbine aerodynamics. Subsequently, he pursued a Master's degree at Egypt Japan University of Science & Technology, specializing in Fluid Mechanics Lab and Energy Resources Engineering. Here, he explored innovative approaches to enhance the performance of high-lift airfoils for wind turbine applications, inspired by nature's design principles exemplified by the humpback whale. His pursuit of academic excellence continued as he embarked on a Ph.D. in Mechanical Engineering at Perugia University, focusing on the development of bio-inspired wind turbines for optimal energy harnessing.

Professional Endeavors

Mr. Khedr's professional journey is characterized by a blend of academic roles and research engagements. As a Teaching Assistant at Egypt Japan University of Science & Technology, he contributed significantly to courses ranging from Fluid Mechanics to Renewable Energy Resources, nurturing the next generation of engineers. Prior to this, he served in a similar capacity at Alexandria University, imparting knowledge in Fluid Mechanics to aspiring mechanical engineers.

Contributions and Research Focus

Mr. Khedr's research interests revolve around wind turbines, experimental aerodynamics, computational fluid dynamics (CFD), aeroelasticity, and fluid mechanics. His doctoral thesis on developing high-performance bio-inspired wind turbines reflects his commitment to exploring innovative solutions for sustainable energy generation. Through publications and projects, he has contributed to advancing knowledge in aerodynamics, particularly in optimizing airfoil designs for enhanced performance and efficiency.

Accolades and Recognition

Mr. Khedr's contributions to the field have garnered recognition, evidenced by his publications in reputable journals and conferences. His work on the influence of leading-edge tubercles on airfoil aerodynamics has been acknowledged in prestigious forums such as the ASME International Mechanical Engineering Congress and Exposition. Additionally, his involvement in research projects, such as aerodynamic upgrades of vertical axis wind turbines, underscores his impact on sustainable energy initiatives.

Impact and Influence

Mr. Khedr's research and academic endeavors have made a tangible impact on the field of mechanical engineering, particularly in the realm of renewable energy. By bridging theoretical insights with practical applications, his work has the potential to drive innovations in wind turbine technology, paving the way for more efficient and eco-friendly energy solutions.

Legacy and Future Contributions

As Mr. Khedr continues to expand his research horizons and contribute to academia, his legacy lies in his dedication to sustainable engineering practices and his quest for technological advancements in renewable energy. With a focus on bio-inspired designs and computational modeling, he is poised to shape the future of wind energy technology, leaving a lasting imprint on the pursuit of a greener and more sustainable world.

Notable Publications

Critical Issues in the Moving Reference Frame CFD Simulations of Small Horizontal Axis Wind Turbines 2024

Aerodynamic upgrades of a Darrieus vertical axis small wind turbine 2023 (6)

Study of blockage and wakes for an on-shore Wind Farm using SCADA data and CFD simulations 2022

Interpretation of wind turbine performance decline with age based on SCADA data analysis 2022

A Numerical Study Into the Influence of Leading Edge Tubercles on the Aerodynamic Performance of a Highly Cambered High Lift Airfoil Wing at Different Reynolds Numbers 2020 (6)