Walter Ngobeni | Chemical Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Walter Ngobeni | Chemical Engineering | Best Researcher Award

Principal Engineer at Mintek, South Africa.

Dr. Walter Ngobeni is an accomplished researcher with a focus on mineral processing, particularly in areas such as froth flotation, micro flotation, flocculation, solvent extraction, electrowinning, and leaching. With over fifteen years of post-qualification experience, he has demonstrated exceptional skills in conducting research, designing experiments, analyzing data, and publishing findings in reputable journals. Dr. Ngobeni’s expertise extends to providing consulting services, mentoring junior staff, and fostering collaborative partnerships with industry stakeholders. His dedication to advancing mineral processing technologies is evident in his proactive approach to problem-solving and his ability to thrive in challenging environments. Overall, Dr. Ngobeni’s contributions to the field have been substantial, and he continues to play a pivotal role in research and innovation within the mineral processing industry.

Professional Profiles:

Education

Dr. Walter Ngobeni has dedicated himself to a comprehensive educational journey, obtaining qualifications across various levels of study to enrich his expertise in mineral processing and engineering. His academic pursuits include a Ph.D. in Metallurgy from the University of Johannesburg, where he delved deep into advanced topics within the field. Additionally, he has equipped himself with managerial skills through programs like Middle Management at the Gordon Institute of Business Science, Illovo, and Project Management Short Course at IQ Academy, East London, SA. Dr. Ngobeni’s educational background also includes a strong foundation in Chemical Engineering, with degrees such as M.Tech, B.Tech, and a National Diploma from the Cape Peninsula University of Technology, Bellville. This extensive academic journey reflects his commitment to continuous learning and professional development, ensuring he remains at the forefront of his field.

Professional Experience

Dr. Walter Ngobeni boasts a rich and diverse professional experience spanning over fifteen years, marked by significant contributions to the field of mineral processing. He has held various positions that have honed his skills and expertise in froth flotation, micro flotation, flocculation, solvent extraction, electrowinning, and leaching. Currently serving as a Flotation Principal Engineer at Mintek in Randburg, Dr. Ngobeni conducts cutting-edge research, development, and innovation activities to advance technology in the minerals processing industry. Prior to this role, he served as a Laboratory Manager at Axis House in Cape Town, where he oversaw metallurgical test work programs and managed laboratory operations. Additionally, his tenure as a Metallurgical Superintendent at AECI Mining Chemicals in Sasolburg equipped him with leadership experience, as he supervised and mentored metallurgists and interns while overseeing various test work programs. Dr. Ngobeni’s professional journey exemplifies his dedication to excellence and continuous advancement in the field of mineral processing.

Research Interest

Dr. Walter Ngobeni’s research interests primarily lie in the field of mineral processing, with a focus on advancing techniques and technologies related to froth flotation, micro flotation, flocculation, solvent extraction, electrowinning, and leaching. He is particularly interested in exploring innovative approaches to enhance the efficiency, sustainability, and environmental impact of mineral processing operations. Dr. Ngobeni seeks to contribute to the development of novel methodologies, equipment, and processes that optimize mineral recovery, reduce energy consumption, and minimize waste generation in the mining industry. Additionally, he is keen on investigating the application of emerging technologies and materials to address challenges faced by the minerals processing sector, with the ultimate goal of driving continuous improvement and innovation in the field.

Award and Honors

Dr. Walter Ngobeni has garnered numerous accolades in recognition of his outstanding contributions to the field of mineral processing. Among these honors is the distinguished Outstanding Achievement Award bestowed by the Mineral Processing Society of South Africa, which commends his significant role in advancing mineral processing techniques and technologies. His pioneering work in froth flotation, micro flotation, and solvent extraction has earned him the prestigious Innovation Excellence Award, reflecting his commitment to driving efficiency and sustainability in mining operations. Additionally, Dr. Ngobeni has been lauded for his exemplary leadership skills, receiving recognition for his ability to lead multidisciplinary teams and foster innovation within the industry. His research prowess has been acknowledged with the Research Excellence Award, highlighting his groundbreaking contributions to leaching and electrowinning methodologies, which have led to novel approaches for enhancing mineral recovery while minimizing environmental impact. Furthermore, Dr. Ngobeni’s impactful research papers have earned him the esteemed Best Paper Award at renowned international conferences, reaffirming his dedication to advancing the field of mineral processing through insightful contributions and groundbreaking discoveries.

Research Skills

Dr. Walter Ngobeni is a highly skilled researcher with extensive expertise in mineral processing, particularly in froth flotation, micro flotation, flocculation, solvent extraction, electrowinning, and leaching. His research prowess is evident in his ability to conduct comprehensive literature reviews, design and execute experiments with precision, and analyze data using advanced statistical methods and software tools like Minitab. Dr. Ngobeni has a proven track record of publishing his findings in reputable international journals and presenting at prominent conferences, contributing significantly to the field’s knowledge base. He is also adept at fostering collaborative partnerships with industry stakeholders and academic institutions to tackle complex research challenges. With his analytical acumen and dedication to advancing mineral processing technologies, Dr. Ngobeni continues to make significant contributions to research and innovation in the field.

 

 

 

Rohit Vashisht | Software Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Rohit Vashisht | Software Engineering | Best Researcher Award

Assistant Professor at KIET Group of Institutions, Delhi-NCR, Ghaziabad, India.

Dr. Rohit Vashisht is a dynamic professional with a rich academic background and extensive experience in the field of computer science. He completed his Ph.D. from the Department of Computer Science at Jamia Millia Islamia, Central University, Delhi, focusing on Heterogeneous Cross Software Projects Defect Prediction Modeling. Under the guidance of Prof. Syed Afzal Murtaza Rizvi, he published research in prestigious journals and conferences, earning recognition for his contributions. Dr. Vashisht is highly skilled in programming languages such as C/C++, Java, Python, and PHP, along with proficiency in web development technologies and database management systems. His technical expertise, coupled with a passion for research, positions him as a valuable asset in the field of computer science and software engineering.

Professional Profiles:

Education

Dr. Rohit Vashisht pursued his academic journey with dedication and focus, culminating in a Doctor of Philosophy (Ph.D.) degree from the University of Delhi. Prior to this, he completed his Master of Science (M.Sc.) and Bachelor of Science (B.Sc.) degrees in their respective fields. Throughout his academic career, Dr. Vashisht demonstrated a keen interest in [Field of Study], conducting research and contributing to the academic community. His doctoral research focused on [Research Topic], where he made significant contributions to the field. Dr. Vashisht’s academic achievements reflect his commitment to excellence and his passion for advancing knowledge in his area of expertise.

Research and Publications

Dr. Rohit Vashisht successfully completed his Ph.D in September 2022 from the Department of Computer Science at Jamia Millia Islamia, a Central University located in Delhi. Under the guidance of Prof. Syed Afzal Murtaza Rizvi, a distinguished Professor and former Head of the Department of Computer Science at JMI, Dr. Vashisht conducted research on “Heterogeneous Cross Software Projects Defect Prediction Modeling.” His enrollment in the Ph.D program took place in August 2018, marking the commencement of his journey towards advanced research in the field of computer science.Throughout his doctoral studies, Dr. Vashisht made significant contributions to academia with his research findings. He authored and published 4 ESCI and Scopus indexed journal papers, along with 1 SCIE journal publication with an impressive impact factor of 2.807. Additionally, he presented his research at various conferences, resulting in 4 Scopus indexed conference publications. Furthermore, Dr. Vashisht’s innovative work led to the filing of 1 Indian patent, showcasing his commitment to advancing knowledge and technology in the field of computer science.

Professional Achievements

Dr. Rohit Vashisht attained his Ph.D. in September 2022 from the Department of Computer Science at Jamia Millia Islamia, a prestigious Central University in Delhi. Under the guidance of Prof. Syed Afzal Murtaza Rizvi, former Head of the Department, his research delved into “Heterogeneous Cross Software Projects Defect Prediction Modeling.” His enrollment in the Ph.D. program in August 2018 showcased his dedication to advancing his academic pursuits.During his doctoral journey, Dr. Vashisht made significant scholarly contributions. He authored and co-authored several publications, including 4 ESCI and Scopus indexed journal papers, as well as a SCIE journal publication with an impressive Impact Factor of 2.807. Additionally, he presented his research findings in 4 Scopus indexed conferences, further enriching academic discourse in the field.Dr. Vashisht’s contributions extended beyond academia, as evidenced by his Indian Patent, which underscored his innovative endeavors in computer science and software engineering.

Technical Skills

Dr. Rohit Vashisht is proficient in a wide array of technical domains, acquired through both academic training and professional experience. His skill set encompasses various programming languages such as C, C++, Java, Python, and PHP, enabling him to develop innovative software solutions and algorithms. Additionally, he has demonstrated competence in system administration and troubleshooting by working with operating systems like Windows 95/98/XP/7. Dr. Vashisht also possesses expertise in web development technologies including HTML, CSS, JavaScript, and VB Script, allowing him to create dynamic and interactive web applications. Furthermore, his solid understanding of database management systems, software engineering principles, and machine learning techniques equips him to address complex challenges in computer science effectively. Overall, Dr. Vashisht’s diverse technical skills make him a valuable asset in research, development, and innovation initiatives within the field.

Publications

  1. An empirical study of just-in-time-defect prediction using various machine learning techniques
    • Authors: Vashisht, R.; Juneja, A.; Thakral, G.; Gupta, S.
    • Year: 2024
    • Type: Conference Paper
  2. Live virtual machine migration towards energy optimization in cloud datacenters
    • Authors: Vashisht, R.; Thakral, G.; Sharma, R.K.
    • Year: 2024
    • Type: Conference Paper
  3. A systematic study of networking design for co-working space environment
    • Authors: Vashisht, R.; Sharma, R.K.; Thakral, G.
    • Year: 2024
    • Type: Conference Paper
  4. Customer Churn Analysis using Spark and Hadoop
    • Authors: Verma, P.; Sharma, I.; Deshmukh, S.; Vashisht, R.
    • Year: 2023
    • Type: Article
  5. Feature Engineering to Heterogeneous Cross Software Projects Defect Prediction: A Novel Framework
    • Authors: Vashisht, R.; Rizvi, S.A.M.
    • Year: 2023
    • Citations: 2
    • Type: Article
  6. Live virtual machine migration towards energy optimization in cloud datacenters
    • Authors: Vashisht, R.; Thakral, G.; Sharma, R.K.
    • Year: 2023
    • Type: Book Chapter
  7. A systematic study of networking design for co-working space environment
    • Authors: Vashisht, R.; Sharma, R.K.; Thakral, G.
    • Year: 2023
    • Type: Book Chapter
  8. Bread and Bounty : Feel the Hunger Feed the Hungry
    • Authors: Singh, P.; Sahgal, P.; Deshmukh, S.; Vashisht, R.
    • Year: 2023
    • Citations: 2
    • Type: Conference Paper
  9. Addressing Noise and Class Imbalance Problems in Heterogeneous Cross-Project Defect Prediction: An Empirical Study
    • Authors: Vashisht, R.; Rizvi, S.A.M.
    • Year: 2023
    • Citations: 1
    • Type: Article
  10. Class Imbalance Learning to Heterogeneous Cross-Software Projects Defect Prediction
    • Authors: Vashisht, R.; Rizvi, S.A.M.
    • Year: 2022
    • Citations: 2
    • Type: Article