Ranjeet Kumar Pathak | Machine Learning | Excellence in Scientific Research Award

Dr. Ranjeet Kumar Pathak | Machine Learning | Excellence in Scientific Research Award

Sandip Institute of Technology & Research Centre, Nashik, Maharashtra-India

Author Profile

🌱 Early Academic Pursuits

Dr. Ranjeet Pathak’s academic journey is a testament to his dedication and perseverance. Starting from a humble background, he displayed an early inclination towards science and technology. Completing his High School from National Inter College, Fatehpur, with an impressive 73.50%, and Intermediate from R.R. Inter College Hardoi with 63.40%, Dr. Pathak laid a solid foundation for his future endeavors.

He pursued a B.Tech in Electronics and Instrumentation at Skyline Institute of Engineering & Technology, affiliated with UPTU, Lucknow. Graduating in 2008 with 65.72%, he cultivated a keen interest in electronics and instrumentation systems. His thirst for advanced knowledge led him to pursue an M.Tech in Power Electronics & ASIC Design at the prestigious MNNIT, Allahabad, where he excelled with a 7.2 CPI.

Crowning his academic achievements, Dr. Pathak completed his Ph.D. in Electronics and Communication Engineering at Amity University, Lucknow, in 2024 with an impressive 8.00 SGPA. His doctoral work exemplifies his passion for innovative research in cutting-edge fields of engineering.


💼 Professional Endeavors

Dr. Pathak’s professional journey reflects his commitment to nurturing future engineers and advancing technological research.

  • He began his career as an Assistant Professor in the ECE Department at United Institute of Technology, Prayagraj, where he served from February 2010 to September 2022. During this tenure, he contributed to the academic growth of students, focusing on core electronics subjects.
  • Transitioning to the CSE Department at United College of Engineering and Research, Prayagraj, in 2022, he diversified his expertise by teaching advanced computing subjects. His tenure here lasted until July 2024.
  • Currently, Dr. Pathak is imparting knowledge and conducting research as an Assistant Professor in the E&TC Department at Sandip Institute of Technology and Research Center, Nashik, Maharashtra, where he has been serving since October 2024.

🔬 Contributions and Research Focus

Dr. Pathak’s research interests span a wide array of interdisciplinary topics, including:

  • Deep Learning for Medical Data: His training with Finland Labs highlights his commitment to leveraging AI for healthcare.
  • Machine Learning with Python: Completing a course from IBM enhanced his skills in computational modeling, enabling him to contribute to AI-driven solutions in engineering.
  • Power Electronics & ASIC Design: His M.Tech specialization underscores his expertise in developing energy-efficient systems and specialized hardware designs.

His innovative research during his Ph.D. has paved the way for practical applications in electronics and communication, contributing to advancements in fields such as IoT, robotics, and signal processing.


🏆 Accolades and Recognition

Dr. Pathak’s dedication has earned him recognition as a versatile academic and researcher:

  • Successfully trained in Deep Learning for Medical Data, positioning him at the forefront of healthcare innovation.
  • Certification in Machine Learning with Python from IBM, showcasing his ability to implement AI-driven methodologies in solving complex problems.
  • His extensive teaching career spanning over a decade has earned him accolades from students and peers for his impactful mentorship.

🌟 Impact and Influence

Dr. Pathak’s teaching and research have influenced countless students, fostering their understanding of both theoretical and applied aspects of engineering. His ability to integrate emerging technologies into traditional engineering curricula ensures students are well-equipped to meet industry demands.

As a passionate educator, he has emphasized the importance of interdisciplinary learning, motivating students to explore fields such as artificial intelligence, renewable energy, and embedded systems.


🛠️ Legacy and Future Contributions

Looking ahead, Dr. Pathak envisions further expanding his contributions to academia and industry:

  • Pioneering Research: He aims to delve deeper into AI applications in electronics and renewable energy systems, addressing global challenges like sustainability and efficient energy utilization.
  • Mentorship: Dr. Pathak plans to mentor budding researchers, guiding them to make meaningful contributions in engineering and technology.
  • Collaborations: Establishing collaborations with international universities and research organizations, he seeks to create impactful projects that blend innovation with practical applications.

🌍 A Legacy of Excellence

Dr. Ranjeet Pathak’s journey from a determined student to a respected educator and researcher is an inspiration for aspiring engineers. His unwavering commitment to advancing knowledge and empowering students ensures his legacy will continue to inspire future generations. With his unique blend of expertise, passion, and vision, Dr. Pathak stands as a beacon of excellence in the field of engineering education.

🌟 “Engineering is not just a profession but a mission to innovate, educate, and transform lives.” 🌟

Citations

A total of 06 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        06
  • h-index          06
  • i10-index       02

Notable Publications 

  • Title: A Two-Stage Detection Methodology for Thyroid Cancer Using Photonic Crystal: Logistic Regression and Artificial Neural Networks
    Authors: Pathak, R.K., Mishra, S., Roy, S.K., Sharan, P.
    Journal: Optik, 2025.
  • Title: Design of Optical Sensor for Cancer Prognosis Prediction Using Artificial Intelligence
    Authors: Pathak, R.K., Mishra, S., Sharan, P.
    Journal: Journal of Optics (India), 2024.
  • Title: Bragg Reflector One-Dimensional Multi-Layer Structure Sensor for the Detection of Thyroid Cancer Cells
    Authors: Pathak, R.K., Mishra, S., Sharan, P.
    Journal: Telkomnika (Telecommunication Computing Electronics and Control), 2023.
  • Title: Investigation of a Superior Thermal Sensitivity FBG-Based Temperature Sensor with Metallic and Polymeric Coatings
    Authors: Deepa, N., Sharma, S., Sharan, P., Pathak, R.K.
    Conference: 2023 IEEE Workshop on Recent Advances in Photonics (WRAP 2023), 2023.
  • Title: Thyroid Cancer Detection Using Artificial Neural Network and Photonic Sensor
    Authors: Pathak, R.K., Mishra, S., Sharan, P.
    Conference: 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON 2023), 2023.

Nishu Goyal | Omics data analysis | Women Researcher Award

Dr. Nishu Goyal | Omics data analysis | Women Researcher Award

UPES, India

Author Profile

Early Academic Pursuits 📘🎓

Dr. Nishu Goyal’s academic journey is a testament to her unwavering passion for biotechnology and chemical engineering. She embarked on this path with a Bachelor of Technology (B.Tech) in Biotechnology from Guru Gobind Singh Indraprastha University (GGSIPU), Delhi, graduating in 2008 with an impressive 78.2%. Her coursework spanned diverse fields such as Cell and Molecular Biology, Recombinant DNA Technology, and Environmental Biotechnology, equipping her with a strong foundation in the biosciences.

Her thirst for knowledge led her to pursue a Master of Technology (M.Tech) in Biosciences and Bioengineering at the prestigious Indian Institute of Technology Bombay (IITB). From 2008 to 2010, she achieved an exceptional CAP of 9.47/10, excelling in advanced subjects such as Biomathematics, Computational Biology, and Advanced Biomaterials. This rigorous training honed her analytical and research skills.

In pursuit of academic excellence, she earned a Doctor of Philosophy (Ph.D.) in Chemical and Biomolecular Engineering from the National University of Singapore (NUS). During her tenure from 2011 to 2015, she achieved a CAP of 4.25/5, delving into specialized coursework like Mathematical Methods in Chemical and Environmental Engineering and Bioinformatics & Biocomputing. Her Ph.D. journey exemplified her commitment to interdisciplinary research and innovation. 🌱📊


Professional Endeavors 🏢✨

Dr. Goyal’s professional journey has been marked by significant contributions as an Associate Professor. She has brought her expertise to both academia and industry, bridging the gap between theoretical knowledge and practical applications. Her teaching portfolio includes critical subjects like Modeling and Simulations, Instrumental Methods of Analysis, and Genetic Engineering, where she has inspired and mentored countless students.

Beyond teaching, Dr. Goyal has been actively involved in cutting-edge research. Her dedication to innovation is evident in her work on bio-nanotechnology and computational biology, where she has explored groundbreaking solutions to global challenges. Her ability to translate complex scientific concepts into practical applications has established her as a thought leader in her field. 🌍🔬


Contributions and Research Focus 🧬💡

Dr. Goyal’s research interests lie at the intersection of biotechnology, chemical engineering, and computational sciences. Her work has primarily focused on:

  • Modeling and Simulations in Biology: Developing predictive models to understand biological systems.
  • Bio-nanotechnology: Innovating materials at the nanoscale for medical and environmental applications.
  • Environmental Biotechnology: Tackling pressing environmental issues through sustainable biotechnological solutions.
  • Advanced Biomaterials: Designing materials for regenerative medicine and drug delivery systems.

Her research has been published in high-impact journals, showcasing her ability to address complex problems through interdisciplinary approaches. 📚🌐


Accolades and Recognition 🏆🌟

Dr. Goyal’s achievements have been recognized at national and international levels. Highlights of her accolades include:

  • Top Graduate CAP Scores: At both IIT Bombay and NUS, she ranked among the top performers.
  • Research Grants: Secured prestigious funding for her work on bio-nanotechnology and biomolecular engineering.
  • Invited Speaker: Delivered talks at global conferences on topics like Biostatistics and Computational Biology.

Her ability to excel academically and professionally while inspiring others has solidified her reputation as a trailblazer in her field. 🌟📈


Impact and Influence 🌏🤝

Dr. Goyal has had a profound impact on the scientific community and beyond:

  • Mentorship: She has guided numerous students and young researchers, fostering a culture of curiosity and innovation.
  • Industry Collaboration: Partnered with industries to develop scalable solutions for environmental and biomedical challenges.
  • Global Networks: Built collaborations with leading institutions worldwide, promoting knowledge exchange and interdisciplinary research.

Her work continues to influence policy-making, especially in the domains of sustainable engineering and advanced biotechnology.


Legacy and Future Contributions 🌟🚀

As a visionary scientist, Dr. Goyal is committed to leaving a lasting legacy:

  • Education: Enhancing curricula with cutting-edge research insights and fostering interdisciplinary learning.
  • Research Innovation: Pioneering new techniques in genetic engineering, bioinformatics, and nanotechnology.
  • Global Challenges: Addressing critical issues like climate change, disease eradication, and renewable energy integration.

Dr. Goyal’s relentless pursuit of excellence and dedication to shaping the future of biotechnology and chemical engineering will continue to inspire generations of scientists and engineers. 🌟📘

Citations

A total of 244 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        244
  • h-index          13
  • i10-index       06

Notable Publications 

  • Title: Synergistic insights into pesticide persistence and microbial dynamics for bioremediation
    Authors: Ray, S.S., Parihar, K., Goyal, N., Mahapatra, D.M.
    Journal: Environmental Research
    Year: 2024.
  • Title: Effect of Microplastic Pollution on Soil, Plants, and Soil Microbes
    Authors: Kandpal, R., Goyal, N.
    Book Chapter: Microplastics in the Terrestrial Environment: Pathways and Remediation Strategies
    Year: 2024.
  • Title: A cohesive effort to assess the suitability and disparity of carbon nanotubes for water treatment
    Authors: Goyal, N., Nawaz, A., Chandel, K.S., Lee, M., Sharma, A.K.
    Journal: Environmental Science and Pollution Research
    Year: 2023.
  • Title: A critical review on biochar production from pine wastes, upgradation techniques, environmental sustainability, and challenges
    Authors: Sharma, A.K., Ghodke, P.K., Goyal, N., Lin, K.-Y.A., Chen, W.-H.
    Journal: Bioresource Technology
    Year: 2023.
  • Title: Carbon conversion by Methanococcus maripaludis S2 under diazotrophy and a revised genome-scale metabolic model
    Authors: Vo, C.H., Goyal, N., Kraft, M., Karimi, I.A.
    Journal: Chemical Engineering Science
    Year: 2023.

Sampathkumar.J | Machine Learning | Young Scientist Award

Dr. Sampathkumar.J | Machine Learning | Young Scientist Award

Mahendra college of engineering, India

Author Profile

Early Academic Pursuits 🎓📚

J. Sampathkumar’s academic journey began with a solid foundation in technical and general education. He completed his Secondary School Leaving Certificate (SSLC) in 1995 from Nirmala Hr. Sec. School, Kolathur, achieving a commendable score of 64%. This was followed by his Higher Secondary Leaving Certificate (HSLC) in 1997 from Municipal Boys Hr. Sec. School, Palani, where he secured 70%, demonstrating his early inclination towards academics.Driven by a passion for technology, he pursued a Diploma in Electrical and Electronics Engineering (DEIE) from Salem Polytechnic College in 2000, achieving an impressive 81%, which laid the foundation for his engineering aspirations. To further strengthen his knowledge, he earned a Bachelor of Engineering (B.E.) in Electronics and Communication Engineering (ECE) in 2005 from Paavai Engineering College, Namakkal, affiliated with Anna University, where he excelled with a score of 73%. Alongside, he also completed a Bachelor of Computer Applications (BCA) from IGNOU, achieving 61%, showcasing his versatility and commitment to a multidisciplinary education.To diversify his skillset, Sampathkumar pursued an MBA in 2011 via distance education from Madras University, scoring 62%. He further specialized by completing a Master of Engineering (M.E.) in Power Electronics and Drives (PED) in 2013 from Dr. Nagarathinam’s College of Engineering, Mallur, affiliated with Anna University, attaining 68%.


Professional Endeavors 💼🚀

Sampathkumar’s career spans a wide array of roles across various industries, reflecting his adaptability and dedication to professional excellence. He began as a Junior Executive at Right Biz Technologies India Pvt. Ltd., Chennai, in 2006, where he honed his skills in XML-based webpage designing. Transitioning into quality assurance, he worked as a QA Engineer with e-Microdot Solutions Pvt. Ltd., Bangalore (2007) and Pious Infotech Pvt. Ltd., Bangalore (2008–2009), contributing significantly to software testing and quality control.Shifting gears, he took on administrative roles at Nandhi Dall Mills, Salem (2009–2010), and Jaisri Designs, Salem (2010). These positions underscored his organizational skills and ability to manage operational complexities. His transition to academia marked a turning point in his career. From 2010 to 2012, he served as a Lecturer at the Government College of Engineering, Salem, before joining Mahendra College of Engineering, Salem, in 2012 as an Assistant Professor, a role he continues to excel in.


Contributions and Research Focus 🔍📈

As an educator and researcher, Sampathkumar has demonstrated unwavering dedication to empowering students with knowledge and fostering innovation. His teaching methodologies combine theoretical insights with practical applications, particularly in Power Electronics and Drives (PED), a field in which he holds a master’s degree. His research interests include electronic circuit design, sustainable power systems, and engineering education methodologies, aiming to contribute to the advancement of technology for societal benefit.Through active engagement in academic activities, Sampathkumar has guided numerous students in their project work and has participated in departmental initiatives to enhance the quality of education. His efforts in bridging the gap between industry practices and academic knowledge have been instrumental in preparing students for professional challenges.


Accolades and Recognition 🏆✨

Sampathkumar’s career is adorned with milestones that reflect his professional competence and dedication. While working across various organizations, he was recognized for his meticulous work ethic and problem-solving skills. His transition to academia brought additional accolades for his teaching excellence and ability to inspire students. As a respected faculty member at Mahendra College of Engineering, he is appreciated for his contributions to student development and curriculum enhancement.


Impact and Influence 🌟📖

In his capacity as an Assistant Professor, Sampathkumar has played a vital role in shaping the minds of future engineers. His multidisciplinary background enables him to provide a holistic learning experience, encouraging students to think critically and innovate. His administrative experience further allows him to contribute to the efficient functioning of academic institutions, ensuring the delivery of quality education.


Legacy and Future Contributions 🌍🔮

Looking ahead, Sampathkumar aspires to expand his impact on engineering education and research. By staying abreast of technological advancements and integrating emerging tools into his teaching, he envisions creating a more robust and dynamic learning environment. He also plans to engage in collaborative research to address pressing global challenges in the fields of energy systems and sustainable development.Sampathkumar’s dedication to continuous learning and sharing knowledge serves as an inspiration to students and colleagues alike. His enduring contributions to academia and industry are a testament to his commitment to excellence and innovation, leaving a lasting legacy for generations to come. 🌟

Notable Publications

  • Smart Oil Extraction System with Customer and Owner Modes
    • Authors: DJ Sampathkumar, S. Saran, P. Gokul, N. Gowtham
    • Conference: 6th International Conference on Recent Innovations in Science and Technology
    • Year: 2024.
  • Smart Oil Extraction System with Customer and Owner Modes
    • Authors: MSP Dr. J. Sampathkumar, Mr. S. Saran, Mr. P. Gokul, Mr. N. Gowtham
    • Journal: International Journal of Innovative Research in Technology, Volume 10, Issue 12, Pages 198-202
    • Year: 2024.
  • Online Physio Therapy System Using the IoT and Human Gaits Analysis
    • Authors: DJR Dr. J. Sampathkumar
    • Journal: International Journal of Research and Analytical Reviews (IJRAR), Volume 10, Issue 3, Pages 950-957
    • Year: 2023.
  • HELP-WSN-A Novel Adaptive Multi-Tier Hybrid Intelligent Framework for QoS Aware WSN-IoT Networks
    • Authors: J. Sampathkumar, N. Malmurugan
    • Journal: Computers, Materials & Continua, Volume 71, Issue 2, Pages 2107-2123
    • Year: 2022.
  • 3-D Based Brain Tumor Detection Using (DL) Deep Learning and Image Processing Approach
    • Authors: Mr. J. Sampathkumar, Dr. M. Suganthi, Mr. D. Balaji
    • Patent: IN Patent 202141060315
    • Year: 2021.

Rajendra Pawar | Machine Learning | Best Researcher Award

Dr. Rajendra Pawar | Machine Learning | Best Researcher Award

MIT Art, Design and Technology University , Pune-India.

Author Profile

Early Academic Pursuits 🎓

Dr. Rajendra Genaba Pawar’s academic journey began with his passion for Information Technology. He completed his Bachelor’s degree in Information Technology from Shivaji University, Kolhapur, in 2005, laying a strong foundation in the rapidly evolving field of computer science. Determined to advance his knowledge, Dr. Pawar pursued his M.Tech. in Information Technology at Bharati Vidyapeeth University, Pune, graduating in 2013. His academic accomplishments reached a pinnacle when he earned his Ph.D. in Computer Science Engineering from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, in March 2022. His doctoral research added to his already rich academic profile and contributed significantly to the field of computer science.

Professional Endeavors 🏫

Dr. Pawar’s career is marked by progressive roles across various prestigious institutions. He began his teaching journey as a Lecturer at Bharati Vidyapeeth College of Engineering, Pune, from July 2005 to June 2007, followed by a position at Sinhgad Institute of Technology, Lonavala, where he taught until April 2008. His passion for teaching and research then led him to MAEER’s MIT College of Engineering, Pune, where he served as an Assistant Professor from May 2008 to July 2020. During this time, Dr. Pawar shaped the minds of countless students while engaging in research endeavors that broadened the horizons of computer science.In August 2020, Dr. Pawar joined MAEER’s MIT World Peace University, Pune, as an Assistant Professor, further expanding his research portfolio while delivering high-quality education. His unwavering dedication to academia and innovation earned him a promotion to Associate Professor at the School of Computing, MAEER’S MIT Art, Design, and Technology University, Pune, in August 2023. Dr. Pawar continues to inspire students and colleagues with his expertise and dedication to research.

Contributions and Research Focus 🔍🧠

Dr. Pawar’s research interests span several cutting-edge areas in computer science, with a focus on Machine Learning, Artificial Intelligence, Data Science, Python Programming, Computer Graphics, Software Engineering, Multimedia Systems, and Software Design and Modeling. His contributions in these domains have been crucial in advancing both theoretical and practical aspects of technology.Dr. Pawar’s research in artificial intelligence and machine learning stands out, especially in its application to real-world problems. His interest in Python programming and data science has enabled him to mentor students in developing robust and scalable software solutions. Additionally, his work in computer graphics and software design has significantly contributed to the understanding of user experience design, making him a well-rounded educator and researcher in his field.

Accolades and Recognition 🏅📜

Dr. Pawar’s relentless pursuit of knowledge and his efforts in educating the next generation of technologists have earned him numerous certifications and accolades. He has obtained a range of professional certificates, including:

  1. Generative AI for Everyone by DeepLearning.AI through Coursera (Feb 2024), demonstrating his commitment to staying at the forefront of AI technology.
  2. Crash Course on Python by Google, offered through Coursera (Sept 2022), which reflects his expertise in programming languages.
  3. Complete Python Master Class: Learn Python from Scratch by Udemy (May 2018), highlighting his dedication to mastering the Python language.
  4. Microsoft Certified Azure Fundamentals (May 2024), indicating his proficiency in cloud computing and Microsoft Azure services.

These certifications exemplify his ongoing commitment to personal and professional development, as well as his desire to bring cutting-edge technology and learning to his students.

Impact and Influence 💡👨‍🏫

Dr. Pawar has left an indelible mark on the academic and professional communities through his teaching, research, and mentorship. His students have not only gained technical knowledge but have also developed critical thinking and problem-solving skills under his guidance. His role as a teacher has transcended beyond the classroom as he continuously encourages students to engage in research and innovation. Moreover, his expertise in Python programming and machine learning has helped shape the careers of many aspiring data scientists and software engineers.His contributions to MIT World Peace University and the broader academic community have been profound, influencing curriculum development and research initiatives across his areas of specialization.

Legacy and Future Contributions 🏆🚀

As Dr. Pawar continues his academic and research journey, his legacy grows with each student he mentors and each research paper he publishes. His contributions to the fields of artificial intelligence, machine learning, and computer science are poised to influence future advancements in technology. With his focus on emerging trends and continuous learning, Dr. Pawar will undoubtedly remain a key figure in shaping the future of computer science education and research.In the years to come, Dr. Pawar aims to contribute further to the growing body of knowledge in machine learning and AI, particularly in developing solutions that can impact industries such as healthcare, education, and more. His commitment to using technology for societal good ensures that his influence will continue to extend far beyond the academic community.

Citations

A total of 42 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         42
  • h-index           19
  • i10-index        04

Notable Publications 

  • Dried fish dataset for Indian seafood: A machine learning application
    Paygude, P., Gayakwad, M., Wategaonkar, D., Pujeri, R., Joshi, R.
    Data in Brief, 2024.
  • Innovative approaches for skin disease identification in machine learning: A comprehensive study
    Vayadande, K., Bhosle, A.A., Pawar, R.G., Bailke, P.A., Lohade, O.
    Oral Oncology Reports, 2024.
  • Synergizing Investment Portfolios: A Technologically Advanced Approach with Integrated Chatbot Capabilities
    Shelke, P.M., Pawar, R.G., Pawar, P., Rathod, R., Kawoor, T.
    2024 MIT Art, Design and Technology School of Computing International Conference, MITADTSoCiCon 2024.
  • MIT-WPU Insight Sync: A Data Empowerment Platform
    Shah, D., Singh, A.K., Prasad, A., Dixit, B., Pawar, R.G.
    2024 MIT Art, Design and Technology School of Computing International Conference, MITADTSoCiCon 2024.
  • Challenges and a Novel Approach for Image Captioning Using Neural Network and Searching Techniques
    Dixit, B., Pawar, R.G., Gayakwad, M., Mahajan, A., Chinchmalatpure, S.V.
    International Journal of Intelligent Systems and Applications in Engineering, 2023.

PAMMI KUMARI | Data Science | Best Researcher Award

Ms. Pammi Kumari | Data Science | Best Researcher Award

NIT PATNA, India

Author Profile

🎓Early Academic Pursuits

Pammi Kumari’s academic journey began with a strong foundation in mathematics and sciences, as reflected in her early education. She completed her Class 10th from the Bihar Board in 2002 with a commendable score of 67.75%. Two years later, she graduated from high school with a 60% in Class 12th, also under the Bihar Board. Her passion for mathematics led her to pursue a B.Sc. in Mathematics from Magadh University, where she graduated in 2007 with a solid 65%.Her interest in engineering, particularly in electronics and communication, prompted her to pursue a B.Tech in Electronics & Communication Engineering from I.E.T. M.J.P. Rohilkhand University, Bareilly. She excelled in her studies, achieving a DGPA of 8.02 (75%) and graduating in 2012. Driven by a desire to deepen her expertise, Pammi Kumari continued her education with an M.Tech in Electronics & Communication Engineering, specializing in Communication Engineering, at Invertis University of Technology, Bareilly, where she graduated in 2015 with an aggregate of 76.47%. Currently, she has submitted her Ph.D. thesis in Electronics & Communication Engineering from the prestigious Birla Institute of Technology, MESRA, Ranchi, boasting an impressive aggregate of 8.23%.

💼Professional Endeavors

Pammi Kumari’s professional journey is as impressive as her academic achievements. She has accumulated over six years of teaching experience, beginning her career as a Teaching Assistant during her M.Tech. at Invertis University, Bareilly. Following this, she served as a lecturer at I.E.T. M.J.P. Rohilkhand University, Bareilly, in the Department of Electronics & Communication Engineering from 2012 to 2014.Pammi then transitioned to a role as an Assistant Professor at Mohammad Ali Jauhar University, Rampur, where she served from 2015 to 2017. Her teaching journey continued as a guest lecturer at KNIT Sultanpur, U.P., from 2017 to 2019, demonstrating her commitment to educating and mentoring students. Pammi Kumari also worked as an Assistant Professor at the Meerut Institute of Technology (MIET) in the Department of Computer Science and Engineering, specializing in Data Science, showcasing her versatility in the field.Currently, Pammi Kumari is a Project Assistant at NIT Patna, in the Department of Electronics & Communication Engineering, where she works under the supervision of Dr. Subodh Srivastava. This role allows her to apply her engineering skills in a research setting, further enhancing her professional experience.

🔬Contributions and Research Focus

Pammi Kumari has made significant contributions to the field of electronics and communication engineering, particularly in the areas of artificial intelligence (AI), machine learning, and digital image processing. Her research has primarily focused on medical image processing, which was the subject of her Ph.D. thesis. Her work in this area involved the detection of dead tissues in medical images using various algorithms, contributing valuable insights to the field of medical diagnostics.During her M.Tech., Pammi focused on digital image processing using Artificial Neural Networks, further establishing her expertise in this area. Her B.Tech. thesis, titled “Design of Rectangular Patch Microstrip Antenna using IE3D Software,” demonstrated her strong foundation in antenna design and wave propagation.In addition to her academic research, Pammi has also been involved in several industrial training and projects. She completed an internship at NTPC Singarulli, M.P., where she gained practical experience in the field. Her industrial experience is further highlighted by her expertise in software tools such as MATLAB, PYTHON, and C++, as well as her knowledge of Electromagnetic Simulation and Design Automation using IE3D Software and CST STUDIO SUITE.

🏅Accolades and Recognition

Pammi Kumari’s work has been recognized through various accolades, including the publication of multiple Indian patents. These patents reflect her innovative approach to problem-solving and her contributions to the field of electronics and communication engineering. Notable among these are her patents on an “IoT Health Monitoring Device,” a “Machine Learning Based Approach for Products with Embedded Sensors of E-Commerce Sites,” and an “IoT and Artificial Intelligence-Based Solar Power Generation with Maximum Power Tracking Using Modern ML.”Her contributions to academia also include co-authoring the book “Database Concepts and Design,” published by AkiNik Publications in New Delhi in 2022. This book is a testament to her deep understanding of database systems and her ability to convey complex concepts in an accessible manner.

🌍Impact and Influence

Pammi Kumari’s influence extends beyond her research and teaching. She has actively participated in national conferences, including those focused on computer communication, embedded systems, and digital information technologies. These conferences have provided her with platforms to share her research findings and collaborate with other experts in the field.Moreover, Pammi has contributed to the academic community by participating in faculty development programs (FDPs) and workshops. Her involvement in FDPs on topics such as “Artificial Intelligence and Machine Learning in Healthcare” and “Frontier Areas of Research in Mechanical Engineering” demonstrates her commitment to continuous learning and staying at the forefront of technological advancements.

🌟Legacy and Future Contributions

As Pammi Kumari continues to advance in her career, her legacy is likely to be one of innovation, dedication, and impact. Her work in AI and machine learning, particularly in the context of medical image processing, has the potential to revolutionize healthcare diagnostics. Her contributions to teaching and mentoring the next generation of engineers and researchers will undoubtedly have a lasting influence on the field.Looking forward, Pammi Kumari is poised to continue making significant contributions to the field of electronics and communication engineering. Her ongoing research, coupled with her passion for teaching, will ensure that she remains a valuable asset to both the academic and industrial communities. With her strong foundation in research, teaching, and innovation, Pammi Kumari is set to leave an indelible mark on the world of engineering and technology.

Citations

A total of 5 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         5
  • h-index           8
  • i10-index        2

Notable Publications 

  • Title: Pathologic Myopia Diagnosis and Localization from Retinal Fundus Images Using Custom CNN
    Authors: Kumari, P., Saxena, P.
    Journal: Neural Computing and Applications
    Year: 2024.
  • Title: An Efficient Multitasking Cascade Network for Arteriovenous Segmentation Using Dual-Modal Fundus Images
    Authors: Diwakar, R.K., Kumari, P., Saxena, P., Poddar, R.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Disease Localization and Its Prediction from Retinal Fundus Images Using Explicitly Designed Deep Learning Architecture
    Authors: Kumari, P., Saxena, P.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Retinal Disease Classification Using Custom CNN Model from OCT Images
    Authors: Baba, S., Kumari, P., Saxena, P.
    Journal: Procedia Computer Science
    Year: 2024.
  • Title: Cataract Detection and Visualization Based on Multi-Scale Deep Features by RINet Tuned with Cyclic Learning Rate Hyperparameter
    Authors: Kumari, P., Saxena, P.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.

Akhil Kumar Das | Machine Learning | Innovation Award

Mr. Akhil Kumar Das | Machine Learning | Innovation Award

Gour Mahavidyalaya- India

Author Profile

🎓Early Academic Pursuits

Dr. Akhil Kumar Das began his academic journey with a focus on Computer Science and Engineering, laying a strong foundation for his future career. He pursued a B.Tech in Computer Science from a renowned institution, followed by an M.Tech, demonstrating his commitment to advancing his knowledge and skills in the field. Dr. Das further enhanced his academic credentials by passing the GATE and UGC-NET exams, which are crucial for pursuing higher education and academic positions in India. His early academic pursuits set the stage for a distinguished career in both teaching and research.

💼Professional Endeavors

Dr. Das’s professional career began at IMPS College of Engineering & Technology, where he served as an Assistant Professor in the Department of Computer Science and Engineering from 2007 to 2014. During this period, he was responsible for imparting knowledge to undergraduate students and contributing to various academic activities. His tenure at Uttar Banga Krishi Viswavidyalaya in Cooch Behar from 2014 to 2016 further solidified his role as an educator. There, he continued to shape the future of students while also engaging in research and development.In 2016, Dr. Das transitioned to Gour Mahavidyalaya, where he continues to work as an Assistant Professor in Computer Science. His role involves not only teaching but also mentoring students and contributing to the academic environment through various initiatives.

🔬Contributions and Research Focus

Dr. Das has made significant contributions to the field of Computer Science through his extensive research. His research interests are primarily centered around machine learning, artificial intelligence, and their applications in healthcare, specifically breast cancer prediction. Noteworthy publications include:

  1. “Hybrid Case Based Reasoning System by Cost Sensitive Neural Network for Classification” – This paper explores innovative approaches in hybrid case-based reasoning systems, published in Soft Computing (2017).
  2. “Machine Learning Based Intelligent System for Breast Cancer Prediction (MLISBCP)” – This recent work focuses on advanced machine learning techniques for predicting breast cancer, published in Expert Systems with Applications (2024).
  3. “BCPUML: Breast Cancer Prediction Using Machine Learning Approach—A Performance Analysis” – A comprehensive analysis of machine learning methods for breast cancer prediction, featured in SN Computer Science (2023).
  4. “Comprehensible and Transparent Rule Extraction Using Neural Network” – This publication addresses methods for improving the transparency of neural network models, published in Multimedia Tools and Applications (2024).
  5. “Development of a Problem Solving Support for an Intelligent Tutoring System” – A significant contribution to educational technology, published in International Journal of Innovations & Advancement in Computer Science (2015).

Dr. Das’s research has been pivotal in advancing the application of machine learning techniques to critical areas such as healthcare, thereby contributing to the broader scientific community.

🏆Accolades and Recognition

Dr. Das has been recognized for his contributions to both teaching and research. His work has been published in several high-impact journals, reflecting his commitment to advancing knowledge in computer science. Notably, his research on breast cancer prediction has been well-received, and he has been invited to present his findings at various international conferences.

🌍Impact and Influence

Dr. Das’s research and professional work have significantly impacted the field of computer science. His innovative approaches to machine learning and artificial intelligence have not only advanced academic understanding but also provided practical solutions for pressing issues such as breast cancer prediction. His contributions extend beyond academia, influencing both industry practices and healthcare advancements. By integrating cutting-edge technology with real-world applications, Dr. Das has demonstrated a profound ability to address complex challenges and improve quality of life.

🌟Legacy and Future Contributions

Dr. Akhil Kumar Das’s legacy is marked by his dedication to advancing the field of computer science through both teaching and research. His work has set a benchmark for integrating machine learning with healthcare solutions, paving the way for future innovations. As he continues to work at Gour Mahavidyalaya, his focus remains on furthering research in machine learning and its applications. Dr. Das’s future contributions are expected to drive new advancements in technology, potentially transforming various domains, particularly in healthcare. His commitment to education and research will continue to inspire and shape the future of computer science.Dr. Das’s career is a testament to the impact of dedicated research and teaching in the advancement of technology and science. His contributions will undoubtedly influence future generations of students and researchers, reinforcing the vital role of academic excellence in driving progress and innovation.

Citations

A total of 40 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         40
  • h-index           11
  • i10-index        3

Notable Publications 

  • Title: Hybrid Case Based Reasoning System by Cost Sensitive Neural Network for Classification
    Authors: Saroj Kr. Biswas, Manomita Chakraborty, Heisnam Rohen Singh, Debashree Devi, Biswajit Purkayastha, Akhil Kr. Das
    Journal: Soft Computing
    Volume: 21
    Year: 2017
  • Title: Machine Learning Based Intelligent System for Breast Cancer Prediction (MLISBCP)
    Authors: Akhil Kumar Das, Saroj Kr. Biswas, Ardhendu Mandal, Abhishek Bhattacharya, Suman Sanyal
    Journal: Expert Systems with Applications
    Year: 2024
  • Title: BCPUML: Breast Cancer Prediction Using Machine Learning Approach—A Performance Analysis
    Authors: Rahul Karmakar, Shibashis Chatterjee, Akhil Kumar Das, Ardhendu Mandal
    Journal: SN Computer Science
    Article ID: 377
    Year: 2023
  • Title: Comprehensible and Transparent Rule Extraction Using Neural Network
    Authors: Saroj Kr. Biswas, Abhishek Bhattacharya, Anirban Duttachoudhury, Manomita Chakraborty, Akhil Kumar Das
    Journal: Multimedia Tools and Applications
    Year: 2024
  • Title: Development of a Problem Solving Support for an Intelligent Tutoring System
    Authors: Akhil Kumar Das, Debasis Mandal
    Journal: International Journal of Innovations & Advancement in Computer Science
    Volume: 4
    Year: 2015.

Bhavna Bajpai | Database and Datamining | Women Researcher Award

Dr. Bhavna Bajpai - Database and Datamining - Women Researcher Award 🏆

Dr. C. V. Raman University, Khandwa - India

Professional Profiles

Early Academic Pursuits

She began her academic journey with a Bachelor of Science in Computer Science from Poonam Chand Gupta Vocational College, Khandwa, affiliated with Devi Ahilya Govt. University, Indore (M.P.). She further pursued a Post Graduate Diploma in Computer Application (PGDCA) from the same institution, enhancing her skills in computer science applications. Her passion for learning led her to obtain a Master of Science in Information Technology from Guru Ghasidas University, Bilaspur (C.G.), followed by an M.Phil in Computer Science from Global Open University, Nagaland, and eventually a Ph.D. in Computer Science and Applications from AISECT University, Bhopal (M.P.).

Professional Endeavors

With over 18 years of experience in Information Technology and Computer Science Application departments, she has held various academic positions, starting as an Assistant Professor at IPS Academy, Indore, and later at Shri Dadaji Institute of Technology & Science, Khandwa, where she served for more than a decade. Currently, she holds the position of Associate Professor at Dr. C.V. Raman University, Khandwa, where she also serves as the Dean and IQAC Coordinator. Throughout her career, she has actively engaged in continued learning through conferences and professional research, aiming to stay updated with the latest advancements in her field.

Contributions and Research Focus in Database and Datamining

Her research interests primarily revolve around database management systems and data mining. Her expertise spans areas such as data analysis, machine learning, and pattern recognition. Through her scholarly contributions, Dr. Bajpai has explored innovative approaches to data management and mining, leveraging her insights to address real-world challenges. Her research has focused on enhancing the efficiency and effectiveness of database systems, optimizing data analysis techniques, and developing intelligent algorithms for pattern recognition and machine learning applications. Database and data mining are two interconnected fields crucial in the era of big data. A database is a structured collection of data organized for efficient retrieval, storage, and management.

Accolades and Recognition 

Her dedication and contributions to the field of database and data mining have earned her recognition and accolades. She has been acknowledged for her scholarly achievements through various platforms, including professional awards, citations, and academic affiliations. Her commitment to academic excellence and research innovation has been celebrated within the academic community, reflecting her significant impact on the field.

Impact and Influence

Her work has made a tangible impact on both academia and industry. Her research findings have contributed to advancements in database management systems, data analysis techniques, and machine learning algorithms. By bridging the gap between theory and practice, Dr. Bajpai has facilitated the adoption of data-driven strategies in diverse domains, empowering organizations to harness the power of data for informed decision-making and strategic planning.

Legacy and Future Contributions

As a dedicated educator and researcher, she continues to inspire and mentor future generations of scholars. Her legacy is defined by her passion for learning, her commitment to excellence, and her unwavering pursuit of knowledge. Moving forward, she aims to further her research endeavors, exploring new frontiers in database management systems and data mining. With her expertise and leadership, she remains poised to make significant contributions to the advancement of her field and the empowerment of aspiring researchers in the years to come.

Notable Publications

Nishi Parikh | Machine Learning for Material Science | Best Researcher Award

Dr. Nishi Parikh - Machine Learning for Material Science - Best Researcher Award 🏆

Ola Battery Innovation Centre - India

Professional Profiles

Early Academic Pursuits

Her academic journey began with a Bachelor of Science in Chemistry from St. Xavier’s College, Ahmedabad, Gujarat, where she excelled academically and was awarded a Gold Medal. Her passion for chemistry led her to pursue a Master of Science in Organic Chemistry from Gujarat University, where she achieved a remarkable CGPA of 8.10 and received a Silver Medal. Subsequently, she embarked on her doctoral journey, earning a Ph.D. in Science from the Department of Chemistry at Pandit Deendayal Energy University, Gujarat. Her doctoral research focused on "Redefining the crystallization and characterization of halide perovskite by Machine Learning," showcasing her early engagement with machine learning techniques in material science.

Professional Endeavors

Her professional endeavors reflect her dedication to advancing the field of material science through interdisciplinary research and collaboration. She has contributed significantly to the Ola Battery Innovation Centre in Bangalore, India, leveraging her expertise in machine learning and materials science to drive innovation in battery technology. Her research endeavors have been supported by prestigious fellowships, including the PBEEE Merit Fellowship for research stay at INRS, Quebec, and the Swiss Government Excellence Research Fellowship at ZHAW, Zurich.

Contributions and Research Focus in Machine Learning for Material Science

Her research focuses on the intersection of machine learning and material science, with a particular emphasis on material property prediction, computational materials science, and data-driven materials design. Her doctoral research on halide perovskite crystallization and characterization exemplifies her pioneering work in applying machine learning techniques to address complex challenges in materials research. By harnessing the power of machine learning algorithms, Dr. Parikh aims to accelerate materials discovery processes, optimize material properties, and facilitate the design of novel materials for various applications.

Accolades and Recognition

Her contributions to material science and machine learning have been widely recognized through numerous awards and achievements. She has been awarded prestigious fellowships, including the PBEEE Merit Fellowship and the Swiss Government Excellence Research Fellowship, for her outstanding research contributions. Additionally, her research presentations at international conferences and symposiums have earned her accolades, including the Best Poster Award at the "3rd Gen PV in the developing world" conference organized by Newcastle University, UK.

Impact and Influence

Her research has made a significant impact on the field of material science and machine learning, advancing our understanding of materials behavior and enabling the design of innovative materials with tailored properties. Her interdisciplinary approach and collaborative efforts have led to advancements in battery technology, renewable energy, and sustainable materials. Through her research, Dr. Parikh continues to inspire future generations of scientists and engineers, driving innovation and progress in the field of material science.

Legacy and Future Contributions

As she continues her academic and research endeavors, her legacy is defined by her commitment to excellence, innovation, and interdisciplinary collaboration in material science and machine learning. Her future contributions hold the promise of further advancing our understanding of materials behavior, accelerating materials discovery processes, and revolutionizing various industries through the development of advanced materials with tailored properties. Dr. Parikh's pioneering research serves as a catalyst for transformative change in material science and machine learning, shaping the future of technology and sustainability.

Citations

  • Citations               328
  • h-index                  11
  • i10-index               11

Notable Publications