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.

Vishwash Sharma | Big data | Best Research Award

Mr. Vishwash Sharma | Big data | Best Research Award

Amrita Vishwa Vidyapeetham, India

Author Profile

🎓 Early Academic Pursuits

Vishwash Sharma’s journey into the world of computer science and artificial intelligence began during his formative years at Kendriya Vidyalaya No-2, Jalahalli East. His academic excellence was evident early on, as he secured a remarkable 91% in Grade 10 in 2019 and maintained a high standard with 87% in Grade 12 in 2021. His strong foundation in science and mathematics, coupled with a burgeoning interest in technology, paved the way for his future endeavors.Vishwash’s passion for computer science led him to pursue a Bachelor of Technology (B.Tech) in Computer Science and Artificial Intelligence at Amrita Vishwa Vidyapeetham, Bangalore. His dedication and hard work reflected in his impressive CGPA of 8.43, showcasing his commitment to mastering the complexities of AI and machine learning. Throughout his undergraduate studies, Vishwash has demonstrated a keen interest in applying AI to solve real-world problems, particularly in the fields of cybersecurity and deep learning.

💻 Professional Endeavors

As a final-year undergraduate student, Vishwash Sharma has already made significant strides in the field of artificial intelligence and cybersecurity. His professional journey is marked by a series of projects and contributions that highlight his technical acumen and innovative thinking.One of Vishwash’s notable projects is “Detecting Plant Diseases at Scale: A Distributed CNN Approach with PySpark and Hadoop,” which he presented at the International Conference on Machine Learning and Data Engineering (ICMLDE) in 2023. In this project, Vishwash developed a convolutional neural network (CNN) model using PySpark, achieving an impressive accuracy of 95.76% in detecting plant diseases from a dataset of 2000 images. To ensure the model’s practical applicability, he created a user-friendly interface with Tkinter, allowing seamless integration into agricultural practices. This project not only showcases his proficiency in machine learning frameworks but also his ability to apply AI solutions to address pressing challenges in agriculture.Another significant contribution by Vishwash is his work on “Federated Ensemble for Lung Pneumonia Detection,” which he presented at the 15th IEEE International Conference on Computing, Communication, and Networking Technologies in 2024. In this project, he developed a federated CNN ensemble model for lung pneumonia detection, emphasizing the importance of data privacy by training models locally at distributed medical institutions. The ensemble of VGG16 and a sequential model achieved the best accuracy, while the ensemble of GoogLeNet minimized false negatives, demonstrating the efficacy of federated learning in sensitive medical applications.

🔍 Contributions and Research Focus

Vishwash Sharma’s research and project work are centered around machine learning, deep learning, and cybersecurity. His approach to solving complex problems is characterized by a blend of technical expertise and a deep understanding of the real-world implications of his work.In the domain of cybersecurity, Vishwash has contributed significantly as a Digital Forensics and Incident Response (DFIR) mentor for Team bi0sblr. Specializing in network forensics and memory forensics, he has utilized tools such as Wireshark, Ghex, Scapy, and Volatility to mentor and guide his team. Under his leadership, Team bi0sblr consistently ranked among the top 5 in all India Capture The Flag (CTF) competitions, a testament to his skills and leadership.In addition to his work in cybersecurity, Vishwash has also been actively involved in AI-driven projects. His role as the Computer Science Subsystem Lead for Team Rover, participating in the ISRO Rover Challenge 2024, highlights his ability to integrate AI and robotics. He oversaw the design, development, and integration of computer science components into the rover platform, utilizing tools such as Jetson Nano, Intel RealSense Camera, PyTorch, and TensorFlow to achieve project objectives. This project underscores his versatility and ability to apply AI in diverse fields.

🏅 Accolades and Recognition

Vishwash Sharma’s dedication to his craft has earned him several accolades and certifications. He is an AWS Academy Graduate, having completed the AWS Academy Introduction to Cloud Semester in 2022. His commitment to data science and AI is further evidenced by his certification in Data Science Foundations from Great Learning in 2022, and his hands-on experience in AI for real-world applications through AI4ICPS at IIT Kharagpur in 2023.Moreover, Vishwash is a Certified Cyber Security Analyst (C3SA) from Cyberwarfare Labs, showcasing his dual expertise in AI and cybersecurity. His certification in Python for Genomic Data Science from Coursera highlights his interest in interdisciplinary applications of AI, further broadening his skill set.

🌍 Impact and Influence

Vishwash’s contributions have had a significant impact on both academic and professional communities. His work in plant disease detection has the potential to revolutionize agricultural practices by providing farmers with an accessible and accurate tool for monitoring crop health. Similarly, his research in federated learning for medical applications offers a promising approach to preserving patient privacy while enhancing diagnostic accuracy.As a mentor and leader, Vishwash has influenced many students and peers, particularly in the field of cybersecurity. His guidance has been instrumental in the success of Team bi0sblr, and his leadership in Team Rover demonstrates his ability to drive complex projects to successful outcomes.

🌠 Legacy and Future Contributions

Looking ahead, Vishwash Sharma is poised to make even greater contributions to the fields of AI, machine learning, and cybersecurity. His academic background, coupled with his hands-on experience in cutting-edge projects, positions him as a future leader in these domains. Vishwash is passionate about leveraging AI to create innovative solutions that enhance safety and efficiency across various industries.As he continues to explore new challenges and opportunities, Vishwash is committed to advancing the frontiers of AI and cybersecurity. His legacy will likely be defined by his contributions to the development of AI-driven solutions that address critical global issues, as well as his role in mentoring the next generation of technologists and researchers.

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.

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