Durgesh Srivastava | Soft Computing | Best Researcher Award

Posted on by ScienceFather

Dr. Durgesh Srivastava - Soft Computing - Best Researcher Award 🏆 

Chitkara university - India

Professional Profiles

Early Academic Pursuits

His academic journey began with a strong foundation in Information Technology at Meerut Institute of Engineering and Technology, where he pursued his Bachelor of Technology degree. His passion for computer science led him to pursue a Master of Engineering in Software Engineering at Birla Institute of Technology, Mesra, where he excelled with a remarkable GPA of 7.80/10.00. Dr. Srivastava's quest for knowledge and academic excellence continued as he pursued his doctoral studies in Computer Science & Engineering at I.K.G. Punjab Technical University, where he delved into the realm of soft computing, focusing on developing frameworks for intrusion detection dataset classification to reduce false positive rates.

Professional Endeavors

His professional journey spans over 15 years, during which he has held various teaching and leadership positions in esteemed institutions. He currently serves as an Associate Professor and Head of Academic Operations in the Department of Computer Science and Engineering at Chitkara University Institute of Engineering & Technology. Prior to this, he served as an Associate Professor and Program Leader in Artificial Intelligence and Machine Learning at AIT-CSE, Chandigarh University. His academic odyssey commenced as a Teaching Assistant during his Master of Engineering program at BIT, Mesra, followed by roles as an Assistant Professor and M.Tech Coordinator at BRCM CET, Bahal.

Contributions and Research Focus in Soft Computing

His research endeavors center around machine learning, soft computing, artificial intelligence, and natural language processing. His doctoral thesis, titled "Soft Computing Framework for Classification of Intrusion Detection Dataset to Reduce False Positive Rate," showcases his expertise in developing innovative solutions to complex real-world problems using soft computing techniques. Additionally, his contributions to data classification using support vector machines and rough set-based ensemble systems demonstrate his proficiency in algorithmic design and application.

Accolades and Recognition

His scholarly contributions have been recognized through various accolades and honors throughout his career. His significant achievements include supervising numerous postgraduate and doctoral theses, with one Ph.D. completed and two ongoing under his guidance. His dedication to teaching and research excellence has earned him admiration and respect from his peers and students alike, further solidifying his reputation as a distinguished researcher and educator in the field of computer science.

Impact and Influence

His research and academic pursuits have made a profound impact on the field of computer science, particularly in the areas of machine learning and soft computing. His contributions have not only advanced the theoretical understanding of these domains but have also led to practical applications in intrusion detection, data classification, and artificial intelligence. Through his mentorship and guidance, he has inspired the next generation of researchers and professionals to explore the frontiers of technology and contribute meaningfully to society.

Legacy and Future Contributions

As he continues to make significant strides in the field of soft computing and machine learning, his legacy as a visionary researcher and educator grows evermore profound. His commitment to excellence, coupled with his passion for advancing knowledge and innovation, serves as a beacon of inspiration for aspiring researchers and scholars. Moving forward, Dr. Srivastava remains dedicated to pushing the boundaries of scientific discovery, leaving an indelible mark on the landscape of computer science for generations to come.

Citations

  • Citations              966
  • h-index                 10
  • i10-index              13

Notable Publications

Shilpa Salunkhe | Fluorescence Spectroscopy | Women Researcher Award

Posted on by ScienceFather

Professional Profiles:

Early Academic Pursuits :

She embarked on her academic journey at Shivaji University, Kolhapur, showcasing consistent excellence from her early education. She earned her Bachelor's degree in Chemistry with distinction and continued her pursuit of knowledge with a Master's in Organic Chemistry, where she secured a first-class degree. This laid the groundwork for her deep dive into research-oriented academia.

Professional Endeavors :

Her academic zeal propelled her to pursue a Doctorate in Chemistry, where she specialized in the field of fluorescence spectroscopy. Under the guidance of Prof. (Dr.) G. B. Kolekar, a seasoned Physical Chemistry expert at Shivaji University, she delved into the photophysical behavior of biologically active heterocyclic compounds. Her research path was marked by a significant M.Phil. dissertation focusing on the interaction between N-containing bioactive heterocyclic compounds and proteins.

Contributions and Research Focus in Fluorescence Spectroscopy :

Her research trajectory revolves around the synthesis of bioactive molecules, photophysical studies, solvatochromic effects of biologically active compounds, protein-drug binding interactions, and the creation of fluorescent organic nanoparticles. Her prolific output includes 18 publications recognized in international peer-reviewed journals. She also presented her scholarly works at numerous national and international conferences.

Accolades and Recognition :

Her contributions have garnered international recognition, evident in the acknowledgment and publication of her research in prestigious academic forums. The awarded Ph.D. thesis, focused on the photophysical behavior of biologically active heterocyclic compounds, stands as a testament to her dedication and expertise.

Impact and Influence :

Her commitment to academia, spanning nine years of research experience, showcases her dedication, motivation, and sincerity towards her craft. Her expertise encompasses Photochemistry, Fluorescence Spectroscopy, Reaction Mechanism, and Heterocycles, adding depth and breadth to her contributions.

Legacy and Future Contributions :

Her journey symbolizes the pursuit of excellence, paving the way for aspiring researchers. Her legacy is defined by her prolific research, academic achievements, and notable contributions to the field of Chemistry. Her future endeavors promise continued advancements and groundbreaking contributions to the scientific community.

Citations:

A total of 112 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations   56               56
  • h-index      5                  5
  • i10-index   1                1

Notable Publications :

Amit Sharma | Machine Learning | Best Researcher Award

Posted on by ScienceFather

Professional Profiles:

Early Academic Pursuits :

He embarked on his academic journey with a Bachelor of Technology in Electronics and Communication from Punjab Technical University, Jalandhar, where he demonstrated a strong foundation in engineering principles. He further pursued a Master's in Electronics and Communication Engineering from Sharda University, Delhi, showcasing remarkable aptitude with a notable GPA of 8.2.

Professional Endeavors :

Transitioning into the realm of academia and research, he commenced his career as a Teaching Assistant at Jaypee University of Information Technology, Solan, India. His roles evolved as he engaged as a Researcher focusing on Machine Learning (ML) and Deep Learning (DL) for Forest Fire Detection Systems using Wireless Sensor Networks (WSNs) and Internet of Things (IoT). Subsequently, he took on the position of Assistant Professor at Chitkara University, Rajpura, India, where he excelled in teaching Data Science, Cybersecurity, and Programming Languages.

Contributions and Research Focus in Machine Learning:

He has made substantial contributions in the domains of Machine Learning, Deep Learning, Graph Neural Networks, and Artificial Intelligence. His research interests primarily lie in AI/ML and IoT applications, Computer Vision, Smart Cities, and Sustainable Development. He holds expertise in utilizing tools like Python, MATLAB, TensorFlow, and PyTorch for data analysis, feature engineering, and developing applications in IoT.

Accolades and Recognition :

His dedication and scholarly contributions have resulted in 37 research papers, with 6 accepted in SCI journals and 27 indexed in Scopus. Additionally, he has presented 4 papers at conferences, showcasing his expertise and innovative approaches within the academic community.

Impact and Influence :

Through his various roles as a researcher, educator, and academician, he has influenced both students and peers alike. His research on Forest Fire Detection Systems using WSNs and IoT has practical implications, contributing to the fields of environmental monitoring and disaster management.

Legacy and Future Contributions :

His legacy lies in his multidisciplinary approach towards solving real-world problems through technology. His expertise in ML, DL, IoT, and Computer Vision holds promise for applications in Smart Cities, sustainable development, and advancing AI for societal benefit. His future contributions are anticipated to further bridge the gap between theoretical advancements and practical implementations, fostering innovative solutions in the realm of technology and its societal impact.

Notable Publications :