Asmae EL Jaouha | Engineering | Best Researcher Award

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Mrs. Asmae EL Jaouha | Engineering | Best Researcher Award

EST of Aptiv, Morocco

👩‍💼 Mrs. Kalpa Subbaiah is a seasoned Data Scientist with 16 years of experience, including 8 in Data Science. She holds advanced degrees in Machine Learning and AI. Certified in AWS, Azure, and Microsoft technologies, Kalpa excels in Azure Databricks, Machine Learning, and AI Cognitive Services. She is proficient in processing streaming and batch data and building cloud deployment pipelines. A published researcher in sentiment analysis, she is recognized for her strong analytical and project management skills.

Professional profile

Education📚

🎓 Mrs. Kalpa Subbaiah holds a Master of Science in Machine Learning and Artificial Intelligence from Liverpool John Moores University, UK. She also earned a Post-Graduation Diploma in Machine Learning and AI from the International Institute of Information Technology, Bangalore, and a Post-Graduation Certificate in Big Data Analytics & Optimization from Insofe (International School of Engineering). Additionally, Kalpa has a Bachelor’s degree in Computer Science and Engineering from Vishweshwaraiah Technological University, completed in 2006. 📚

Professional Experience🏛️

👩‍💼 Mrs. Kalpa Subbaiah boasts a robust professional journey with 16 years of experience, including 8 in Data Science. She has held roles at HP 🖥️, Bosch 🛠️, Insofe 🏫, Microsoft 💼, and JP Morgan Chase 🏦. As a Microsoft Open Hack Coach and Lead, she specializes in serverless, AI knowledge mining, and Modern Data Warehouse. Her expertise spans Azure Databricks, Azure Machine Learning, and AI Cognitive Services, where she excels in processing streaming and batch data, building models, and creating cloud deployment pipelines.

Research Interest🌐

🔍 Mrs. Kalpa Subbaiah is deeply interested in advancing the fields of Machine Learning, Deep Learning, and AI. Her research focuses on Natural Language Processing (NLP) 🤖, Computer Vision 🖼️, and GenAI technologies like lang chain, transformers, and OpenAI. She has a keen interest in Aspect-Based Sentiment Analysis, particularly using Weakly Supervised Learning. Kalpa is also passionate about developing end-to-end machine learning pipelines, integrating Big Data components, and leveraging frameworks such as TensorFlow, sklearn, and NLTK to solve complex data science problems. 📊📈

Awards and Honors🏆

🏆 Mrs. Kalpa Subbaiah has received numerous awards and honors throughout her career. She has been recognized for her exceptional contributions to Data Science and AI, including publishing a research paper on Aspect-Based Sentiment Analysis using Weakly Supervised Learning. As a certified professional in AWS Machine Learning Specialty, Microsoft Azure Data Scientist, Azure AI Engineer Associate, and more, she has consistently demonstrated her expertise and leadership. Additionally, she has earned accolades for her roles as a Microsoft Open Hack Coach and Lead in serverless, AI knowledge mining, and Modern Data Warehouse.

Achievements🏅
  • 📜 Published a research paper on Aspect-Based Sentiment Analysis using Weakly Supervised Learning.
  • 👩‍💻 Successfully led and completed large, complex data science projects across various industries.
  • 💼 Served as a Microsoft Open Hack Coach and Lead for serverless, AI knowledge mining, and Modern Data Warehouse.
  • 📊 Developed end-to-end machine learning pipelines and integrated Big Data components like Azure Event Hubs, Synapse, Stream Analytics, Spark Structured Streaming, Hadoop, Kafka, and Spark.
  • 🎓 Certified in multiple prestigious certifications, including AWS Machine Learning Specialty and Microsoft Azure Data Scientist.
  • 🤖 Expert in leveraging advanced machine learning frameworks such as TensorFlow, sklearn, OpenCV, and NLTK.
  • 🧠 Recognized for strong analytical and team player skills, consistently delivering impactful data science solutions.
  • 🌟 Created and shared knowledge through blogs on Medium and machine learning videos on the Microsoft community channel.
Certificates🛠️
  • 🏆 AWS Certified: Machine Learning Specialty
  • 🎓 Microsoft Certified: Azure Data Scientist
  • 💼 Microsoft Certified: Azure AI Engineer Associate
  • 🚀 Microsoft: Open Hack Serverless Tech Lead
  • 📊 Microsoft Certified: Data Engineer Associate
  • 🏫 Post-Graduation Certificate in “Big Data Analytics & Optimization” from Insofe (International School of Engineering)
  • 🤖 Microsoft Certified: Azure AI Fundamentals
  • 📈 Microsoft Certified: Azure Data Fundamentals
Publications top noted📜
  • Author: Kalpa Subbaiah, Bolla B.K.
  • Title: Aspect Category Learning and Sentimental Analysis Using Weakly Supervised Learning
  • Journal: Procedia Computer Science
  • Year: 2024
  • Volume: 235
  • Pages: 1246–1257
  • Citations: 0 📉

Kalpa Subbaiah | Computer Science | Women Researcher Award

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Mrs. Kalpa Subbaiah | Computer Science | Women Researcher Award

VP-Lead Data Scientist of JP Morgan Chase, India

👩‍💼 Mrs. Kalpa Subbaiah is a seasoned Data Scientist with 16 years of experience, including 8 in Data Science. She holds advanced degrees in Machine Learning and AI. Certified in AWS, Azure, and Microsoft technologies, Kalpa excels in Azure Databricks, Machine Learning, and AI Cognitive Services. She is proficient in processing streaming and batch data and building cloud deployment pipelines. A published researcher in sentiment analysis, she is recognized for her strong analytical and project management skills.

Professional profile

Education📚

🎓 Mrs. Kalpa Subbaiah holds a Master of Science in Machine Learning and Artificial Intelligence from Liverpool John Moores University, UK. She also earned a Post-Graduation Diploma in Machine Learning and AI from the International Institute of Information Technology, Bangalore, and a Post-Graduation Certificate in Big Data Analytics & Optimization from Insofe (International School of Engineering). Additionally, Kalpa has a Bachelor’s degree in Computer Science and Engineering from Vishweshwaraiah Technological University, completed in 2006. 📚

Professional Experience🏛️

👩‍💼 Mrs. Kalpa Subbaiah boasts a robust professional journey with 16 years of experience, including 8 in Data Science. She has held roles at HP 🖥️, Bosch 🛠️, Insofe 🏫, Microsoft 💼, and JP Morgan Chase 🏦. As a Microsoft Open Hack Coach and Lead, she specializes in serverless, AI knowledge mining, and Modern Data Warehouse. Her expertise spans Azure Databricks, Azure Machine Learning, and AI Cognitive Services, where she excels in processing streaming and batch data, building models, and creating cloud deployment pipelines.

Research Interest🌐

🔍 Mrs. Kalpa Subbaiah is deeply interested in advancing the fields of Machine Learning, Deep Learning, and AI. Her research focuses on Natural Language Processing (NLP) 🤖, Computer Vision 🖼️, and GenAI technologies like lang chain, transformers, and OpenAI. She has a keen interest in Aspect-Based Sentiment Analysis, particularly using Weakly Supervised Learning. Kalpa is also passionate about developing end-to-end machine learning pipelines, integrating Big Data components, and leveraging frameworks such as TensorFlow, sklearn, and NLTK to solve complex data science problems. 📊📈

Awards and Honors🏆

🏆 Mrs. Kalpa Subbaiah has received numerous awards and honors throughout her career. She has been recognized for her exceptional contributions to Data Science and AI, including publishing a research paper on Aspect-Based Sentiment Analysis using Weakly Supervised Learning. As a certified professional in AWS Machine Learning Specialty, Microsoft Azure Data Scientist, Azure AI Engineer Associate, and more, she has consistently demonstrated her expertise and leadership. Additionally, she has earned accolades for her roles as a Microsoft Open Hack Coach and Lead in serverless, AI knowledge mining, and Modern Data Warehouse.

Achievements🏅
  • 📜 Published a research paper on Aspect-Based Sentiment Analysis using Weakly Supervised Learning.
  • 👩‍💻 Successfully led and completed large, complex data science projects across various industries.
  • 💼 Served as a Microsoft Open Hack Coach and Lead for serverless, AI knowledge mining, and Modern Data Warehouse.
  • 📊 Developed end-to-end machine learning pipelines and integrated Big Data components like Azure Event Hubs, Synapse, Stream Analytics, Spark Structured Streaming, Hadoop, Kafka, and Spark.
  • 🎓 Certified in multiple prestigious certifications, including AWS Machine Learning Specialty and Microsoft Azure Data Scientist.
  • 🤖 Expert in leveraging advanced machine learning frameworks such as TensorFlow, sklearn, OpenCV, and NLTK.
  • 🧠 Recognized for strong analytical and team player skills, consistently delivering impactful data science solutions.
  • 🌟 Created and shared knowledge through blogs on Medium and machine learning videos on the Microsoft community channel.
Certificates🛠️
  • 🏆 AWS Certified: Machine Learning Specialty
  • 🎓 Microsoft Certified: Azure Data Scientist
  • 💼 Microsoft Certified: Azure AI Engineer Associate
  • 🚀 Microsoft: Open Hack Serverless Tech Lead
  • 📊 Microsoft Certified: Data Engineer Associate
  • 🏫 Post-Graduation Certificate in “Big Data Analytics & Optimization” from Insofe (International School of Engineering)
  • 🤖 Microsoft Certified: Azure AI Fundamentals
  • 📈 Microsoft Certified: Azure Data Fundamentals
Publications top noted📜
  • Author: Kalpa Subbaiah, Bolla B.K.
  • Title: Aspect Category Learning and Sentimental Analysis Using Weakly Supervised Learning
  • Journal: Procedia Computer Science
  • Year: 2024
  • Volume: 235
  • Pages: 1246–1257
  • Citations: 0 📉

Hui Tong Chua | Chemical Engineering | Best Researcher Award

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Prof. Hui Tong Chua | Chemical Engineering | Best Researcher Award

Professor of The University of Western Australia Country, Australia

👨‍🔬 Professor Hui Tong Chua is a leading figure in Chemical Engineering, currently heading the Department of Chemical Engineering at The University of Western Australia. 🎓 With a Ph.D. and a First-Class Honors degree from the National University of Singapore, he holds prestigious professional qualifications such as HonFIEAust and FIChemE. 🌟 His influential roles include Vice President of the Asian Pacific Confederation of Chemical Engineering and Chief Scientific Officer at Ablano. 🌍 His career spans senior positions, including Chair of ARC CoE for Carbon Science & Innovation and various board memberships, reflecting his commitment to advancing chemical engineering and fostering innovation. 🌱

Professional profile

Education📚

🎓 Professor Hui Tong Chua’s educational journey is marked by excellence and depth. He earned his Ph.D. (1999), M.Eng (1995), and B.Eng (First Class Honors, 1993) from the Mechanical Engineering Department at the National University of Singapore. 📚 His solid foundation in engineering is complemented by prestigious professional qualifications, including HonFIEAust, CPEng, and FIChemE, showcasing his commitment to advancing his expertise in chemical and mechanical engineering. 🌟 His educational achievements underscore his dedication to both academic rigor and professional excellence in the field.

Professional Experience🏛️

👨‍🔬 Professor Hui Tong Chua boasts an illustrious career in Chemical Engineering. He currently serves as the Head of the Department of Chemical Engineering at The University of Western Australia. 🌏 His extensive roles include Vice President of the Asian Pacific Confederation of Chemical Engineering, Chair of ARC CoE for Carbon Science & Innovation, and Chief Scientific Officer at Ablano. 🌟 His past positions include Deputy Head of the School of Mechanical and Chemical Engineering, Distinguished Professor at Taiyuan University of Technology, and various senior roles at the National University of Singapore and UWA. 📈 His professional journey reflects a strong dedication to leadership, innovation, and academic excellence.

Research Interest🌐

🔬 Professor Hui Tong Chua’s research interests focus on advancing the field of Chemical Engineering, with a strong emphasis on management and leadership in engineering, geothermal energy, and chemical process optimization. 🌍 His work spans the development of sustainable technologies, including carbon science and innovation, and enhancing energy efficiency. 🌟 His research also explores cutting-edge solutions in chemical and mechanical engineering to address global challenges. 🌱 Professor Chua’s contributions are pivotal in driving forward technological advancements and fostering industry-academic partnerships for a sustainable future.

Awards and Honors🏆

🏆 Professor Hui Tong Chua has received numerous accolades for his outstanding contributions to Chemical Engineering. 🌟 He is honored with the title of HonFIEAust and FIChemE, reflecting his exceptional expertise and leadership. 🎓 His achievements include serving as the Vice President of the Asian Pacific Confederation of Chemical Engineering and holding various prestigious board positions. 🥇 His work has earned him recognition from professional organizations, demonstrating his commitment to advancing engineering practice and fostering innovation. 🌍 His honors underscore his significant impact on both academic and industry fields.

Achievements🏅
  • 🏆 Head of Chemical Engineering Department at The University of Western Australia since January 2018.
  • 🌟 Vice President of the Asian Pacific Confederation of Chemical Engineering from April 2024.
  • 👨‍🔬 Chief Scientific Officer for Ablano since January 2022.
  • 🎓 Distinguished Professor at Taiyuan University of Technology, China (2009–2017).
  • 🌍 Chair of Industry Engagement & Translation at ARC CoE for Carbon Science & Innovation since March 2023.
  • 🛠️ Deputy Chair of Engineers Australia Chemical College Board (2024–2025).
  • 🏅 Non-Executive Director of Good Water Energy Ltd. since January 2020.
  • 📚 Editorial and Review Roles for IChemE Learned Society Committee and Research Working Group.
Projects🛠️
  • 🌋 WA Geothermal Centre of Excellence: Led the Aboveground Engineering Programme (2008–2012).
  • 🔬 ARC CoE for Carbon Science & Innovation: Chair of Industry Engagement & Translation (2023–Present).
  • 💧 Good Water Energy Ltd.: Non-Executive Director focusing on sustainable water solutions (2020–Present).
  • 🌍 Chemical Engineering Programme: Chair at The University of Western Australia (2012–2017).
  • 🛠️ Geothermal Engineering Projects: Contributed to advancements in geothermal energy applications.
  • 🏗️ Chemical Process Optimization: Involved in various projects enhancing chemical and mechanical engineering processes..
Publications top noted📜
  • Experimental Investigation of the Silica Gel–Water Adsorption Isotherm Characteristics
    📚 KC Ng, HT Chua, CY Chung, CH Loke, T Kashiwagi, A Akisawa, BB Saha
    Applied Thermal Engineering 21 (16), 1631-1642 (2001)
    📈 446 citations
  • Modeling the Performance of Two-Bed Silica Gel-Water Adsorption Chillers
    📚 HT Chua, KC Ng, A Malek, T Kashiwagi, A Akisawa, BB Saha
    International Journal of Refrigeration 22 (3), 194-204 (1999)
    📈 376 citations
  • Waste Heat Driven Dual-Mode, Multi-Stage, Multi-Bed Regenerative Adsorption System
    📚 BB Saha, S Koyama, T Kashiwagi, A Akisawa, KC Ng, HT Chua
    International Journal of Refrigeration 26 (7), 749-757 (2003)
    📈 327 citations
  • Adsorption Characteristics of Silica Gel + Water Systems
    📚 HT Chua, KC Ng, A Chakraborty, NM Oo, MA Othman
    Journal of Chemical & Engineering Data 47 (5), 1177-1181 (2002)
    📈 324 citations
  • Transient Modeling of a Two-Bed Silica Gel–Water Adsorption Chiller
    📚 HT Chua, KC Ng, W Wang, C Yap, XL Wang
    International Journal of Heat and Mass Transfer 47 (4), 659-669 (2004)
    📈 239 citations
  • Centrifugal Chillers: Thermodynamic Modelling and a Diagnostic Case Study
    📚 JM Gordon, KC Ng, HT Chua
    International Journal of Refrigeration 18 (4), 253-257 (1995)
    📈 209 citations
  • Improved Thermodynamic Property Fields of LiBr–H2O Solution
    📚 HT Chua, HK Toh, A Malek, KC Ng, K Srinivasan
    International Journal of Refrigeration 23 (6), 412-429 (2000)
    📈 199 citations
  • Multi-Bed Regenerative Adsorption Chiller—Improving the Utilization of Waste Heat and Reducing the Chilled Water Outlet Temperature Fluctuation
    📚 HT Chua, KC Ng, A Malek, T Kashiwagi, A Akisawa, BB Saha
    International Journal of Refrigeration 24 (2), 124-136 (2001)
    📈 147 citations
  • The Maximum Temperature Difference and Polar Characteristic of Two-Stage Thermoelectric Coolers
    📚 XC Xuan, KC Ng, C Yap, HT Chua
    Cryogenics 42 (5), 273-278 (2002)
    📈 144 citations
  • Two Bed Silica Gel–Water Adsorption Chillers: An Effectual Lumped Parameter Model
    📚 X Wang, HT Chua
    International Journal of Refrigeration 30 (8), 1417-1426 (2007)
    📈 121 citations

Ivana Giovanna Zupičić | Agricultural and Biological Sciences | Best Researcher Award

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Ms. Ivana Giovanna Zupičić | Agricultural and Biological Sciences | Best Researcher Award

Research Associate of Croatian Veterinary Institute, Croatia

Ivana Giovanna Zupičić, born on November 10, 1990, in Rijeka, Croatia, is a dedicated Research Associate at the Croatian Veterinary Institute in Zagreb. With a specialization in fish pathology 🐟🔬 and a strong foundation in microbiology, Ivana completed her PhD with a dissertation on the diversity of the bacterium Vibrio harveyi in cultured sea bass and gilthead sea bream in the Mediterranean. She has received numerous accolades, including the Dean’s Award for academic excellence 🎓🏅 and the Student Award of the European Association of Fish Pathologists for her groundbreaking work on autologous vaccines. Ivana’s expertise has led her to deliver invited lectures at Michigan State University and contribute to significant research projects with a cumulative budget of nearly $40 million 💰🌍. With 16 publications indexed in Scopus, Web of Science, and PubMed, and an H-index of 4, Ivana is a prominent figure in her field, continuously pushing the boundaries of aquatic animal disease research. 📚🌟

Professional profile

Education📚

Ivana Giovanna Zupičić embarked on her academic journey at the Faculty of Veterinary Medicine, University of Zagreb, in 2009 🎓. Her dedication and exemplary performance earned her the Dean’s Award for both academic excellence and diligence 🏅. In 2018, she advanced her studies by enrolling in the postgraduate interdisciplinary university study of Molecular Biosciences, a collaborative program between the University of Osijek, the Ruđer Bošković Institute, and the University of Dubrovnik 🧬. Ivana completed her PhD in 2022 with a dissertation on the diversity of Vibrio harveyi in cultured sea bass and gilthead sea bream in the Mediterranean 🌊🐟. Her educational achievements are a testament to her commitment to advancing knowledge in fish pathology and microbiology 🔬📘.

Professional Experience🏛️

Ivana Giovanna Zupičić has accumulated 7.5 years of professional experience as a Research Associate at the Croatian Veterinary Institute in Zagreb 🏢🔬. Her expertise in fish pathology has led her to complete and manage five major research projects with a total budget of nearly $40 million 💼💰. Ivana has also contributed significantly to the academic community, publishing 16 papers in journals indexed by Scopus, Web of Science, and PubMed 📚🌟. Her research on Vibrio harveyi and its impact on aquatic animals has been widely recognized, earning her invitations to lecture at Michigan State University and several prestigious conferences 🌍🎤. Ivana’s work has taken her to six different countries for research activities, further solidifying her reputation as a global leader in her field 🌐✈️.

Research Interest🌐

Ivana Giovanna Zupičić’s research interests lie at the intersection of fish pathology and microbiology 🐟🔬. She is particularly focused on the study of Vibrio harveyi, investigating its diversity and impact on cultured sea bass and gilthead sea bream in the Mediterranean 🌊🐠. Ivana is dedicated to developing innovative solutions for aquatic animal health, including the evaluation of autologous vaccines to combat bacterial infections 💉🔍. Her work aims to enhance the understanding of microbial dynamics in marine environments and improve disease management practices in aquaculture 🌿🌐. Through her research, Ivana strives to contribute to the sustainability and resilience of aquatic ecosystems, ensuring the health and productivity of marine species 🦐🌊.

Awards and Honors🏆

Ivana Giovanna Zupičić has been recognized for her outstanding contributions to the field of fish pathology with numerous awards and honors 🏆🌟. During her studies at the University of Zagreb, she received the prestigious Dean’s Award for both excellent performance and diligence in her academic and scientific work 📚🎓. In 2021, Ivana was honored with the Student Award from the European Association of Fish Pathologists for her oral presentation on the evaluation of an autologous vaccine against Vibrio harveyi in European sea bass 🐟💉. Her dedication to advancing aquatic animal health has earned her invitations to deliver lectures at Michigan State University, where she shared her expertise in the “Aquatic Animal Medicine Clerkship” course in 2021, 2022, and 2024 🌍🎤. Ivana’s accolades are a testament to her commitment to excellence and innovation in her field 🌿🔬.

Achievements🏅
  • 🏅 Dean’s Award for Academic Excellence: Received at the University of Zagreb for outstanding academic performance and diligence.
  • 📚 PhD Dissertation Completion: Successfully completed her PhD with a dissertation on the diversity of Vibrio harveyi in cultured sea bass and gilthead sea bream.
  • 🌟 Student Award of the European Association of Fish Pathologists: Honored for her oral presentation on an autologous vaccine against Vibrio harveyi at the International Conference on Diseases of Fish and Shellfish in 2021.
  • 🌍 Invited Lectures: Delivered invited lectures at Michigan State University, USA, for the “Aquatic Animal Medicine Clerkship” course in 2021, 2022, and 2024.
  • 🧬 Research Projects: Completed and managed five major research projects with a total budget of nearly $40 million.
  • 📖 Publications: Published 16 papers in journals indexed by Scopus, Web of Science, and PubMed.
  • ✈️ International Research Activities: Visited six countries for research activities, showcasing her global research engagement.
  • 🎤 Conference Presentations: Presented at nine conferences, contributing to the dissemination of her research findings.
  • 🔍 Citation Index: Achieved a citation index of 3.54 in Scopus, Web of Science, or PubMed.
  • 🌿 Impact Factor: Maintained a cumulative impact factor of 1.04 over the last three years.
  • 📊 H-index: Reached an H-index of 4, reflecting the influence of her research work.
Projects🛠️
  • 🐟 Autologous Vaccine Development for Vibrio harveyi: Focused on creating and evaluating an autologous vaccine to combat Vibrio harveyi infections in European sea bass.
  • 🌊 Microbial Diversity in Marine Environments: Studied the diversity of Vibrio harveyi isolated from cultured sea bass and gilthead sea bream in the Mediterranean, contributing to a deeper understanding of microbial dynamics.
  • 💰 High-Budget Research Initiatives: Managed research projects with a cumulative budget of $39,973,967.71, demonstrating significant project management skills and research funding success.
  • 🔬 Molecular Biosciences Integration: Participated in the interdisciplinary university study of Molecular Biosciences, integrating knowledge from the University of Osijek, the Ruđer Bošković Institute, and the University of Dubrovnik.
  • 🌍 International Collaborative Projects: Engaged in multiple international research collaborations, including delivering invited lectures at Michigan State University as part of the “Aquatic Animal Medicine Clerkship” course.
  • 📊 Research Dissemination and Impact: Presented findings at nine major conferences, sharing her research on fish pathology and aquaculture health solutions with the global scientific community.
Publications top noted📜
  • Koi Herpesvirus and Carp Edema Virus Threaten Common Carp Aquaculture in Croatia
    📚 Journal: Journal of Fish Diseases
    🗓️ Year: 2020
    📈 Citations: 33
  • Biochemical and Molecular Characterization of Three Serologically Different Vibrio harveyi Strains Isolated from Farmed Dicentrarchus labrax from the Adriatic Sea
    📚 Journal: Scientific Reports
    🗓️ Year: 2022
    📈 Citations: 12
  • Assessment of Predominant Bacteria in Noble Pen Shell (Pinna nobilis) Collected in the Eastern Adriatic Sea
    📚 Journal: Environmental Monitoring and Assessment
    🗓️ Year: 2020
    📈 Citations: 9
  • Noble Pen Shell (Pinna nobilis) Mortalities along the Eastern Adriatic Coast with a Study of the Spreading Velocity
    📚 Journal: Journal of Marine Science and Engineering
    🗓️ Year: 2021
    📈 Citations: 7
  • Survey on Laboratories and Consultants Working in the Diagnostics of European Seabass and Gilthead Seabream Diseases: Preliminary Results
    📚 Journal: Bulletin of the European Association of Fish Pathologists
    🗓️ Year: 2021
    📈 Citations: 5
  • Transmission Pathways of the VNN Introduced in Croatian Marine Aquaculture
    📚 Journal: Pathogens
    🗓️ Year: 2022
    📈 Citations: 3
  • Epidemiological Cut-Off Values for Vibrio anguillarum MIC and Disc Diffusion Data Generated by Standardized Methods
    📚 Journal: Diseases of Aquatic Organisms
    🗓️ Year: 2023
    📈 Citations: 2
  • Setting Epidemiological Cut-Off Values for Vibrio harveyi Relevant to MIC Data Generated by a Standardized Microdilution Method
    📚 Journal: Diseases of Aquatic Organisms
    🗓️ Year: 2023
    📈 Citations: 2
  • Bonamia exitiosa in European Flat Oyster (Ostrea edulis) on the Croatian Adriatic Coast from 2016 to 2020
    📚 Journal: Journal of Marine Science and Engineering
    🗓️ Year: 2021
    📈 Citations: 2
  • Fish Eustrongylidosis
    📚 Journal: Veterinarska Stanica
    🗓️ Year: 2023
    📈 Citations: 1

 

João Goes | Engineering | Best Researcher Award

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João Goes | Engineering | Best Researcher Award

João Goes , Universidade NOVA de Lisboa , Portugal

Dr. João Goes is a distinguished academic and industry professional in Electrical and Computer Engineering (ECE). He graduated from Instituto Superior Técnico (IST) in Lisbon in 1992 and obtained his M.Sc. and Ph.D. degrees from the Technical University of Lisbon in 1996 and 2000, respectively. In 2012, he earned the ‘Habilitation’ degree in Electronics from NOVA University of Lisbon (NOVA). Since 1998, Dr. Goes has been with the Department of Electrical and Computer Engineering (DEEC) at NOVA’s School of Sciences and Technology, where he is currently a Full Professor. He headed the DEEC from 2012 to 2019 and directed the Centre of Technology and Systems (CTS) at UNINOVA from 2012 to 2017. Since 2023, he has served as the Executive Director of UNINOVA. Dr. Goes has been a member of the Scientific Council of FCT NOVA for 12 years and is currently a member of the General Council of NOVA for the 2022-2025 term.

Publication profiles:

Education 

João Goes graduated in Electrical and Computer Engineering (ECE) from Instituto Superior Técnico (IST), Lisbon, in 1992. He obtained his M.Sc. in ECE from the Technical University of Lisbon in 1996, followed by a Ph.D. in ECE from the same institution in 2000. In 2012, he earned the ‘Habilitation’ degree in Electronics from NOVA University of Lisbon (NOVA).

Research focus

João Goes’ research focuses on analog and mixed-signal (AMS) integrated circuit design, with a special emphasis on sensor-to-digital and digital-to-actuator interfaces, data converters (ADCs and DACs), and high-performance analog frontends (AFEs). He has published over 200 papers in international journals and IEEE leading conferences, holds 4 international patents, and is co-author of 8 books. Notably, he is the Portuguese researcher with the most published papers in all IEEE flagship conferences requiring silicon-proven integrated circuits (ICs) with state-of-the-art performance, including ISSCC, VLSI, CICC, and ESSCIRC.

Experience

João Goes has had a distinguished career in academia and industry. Since 1998, he has been with the Department of Electrical and Computer Engineering (DEEC) at the School of Sciences and Technology of NOVA, where he is a Full Professor. From 2012 to 2019, he headed the DEEC, managing 50 professors and over 1000 students. Between 2012 and 2017, he was the Director of the Centre of Technology and Systems (CTS) at the Research Institute for New Technologies (UNINOVA), leading nearly 50 senior researchers with PhDs, over 70 collaborators, and more than 90 PhD students. Since 2023, he has been the Executive Director of UNINOVA.

Honors & Awards

João Goes has received numerous honors and awards throughout his career. Among several best-paper awards, he is the co-author of a journal paper that received the 2012 IEEE CASS Outstanding Young Author Award. He also co-won the first edition of the “Innovation Award INCM” in 2016. His contributions to science and engineering have been recognized internationally, showcasing his impact and leadership in the field of electrical and computer engineering

Publications Top Noted & Contributions
  • Cyber-physical systems security: A systematic review
    • Authors: Harkat, H., Camarinha-Matos, L.M., Goes, J., Ahmed, H.F.T.
    • Journal: Computers and Industrial Engineering
    • Year: 2024
    • Citations: 3
  • A PVT-Robust Open-loop Gm-Ratio ×16 Gain Residue Amplifier for >1 GS/s Pipelined ADCs
    • Authors: Dias, D., Goes, J., Costa, T.
    • Conference: Proceedings – IEEE International Symposium on Circuits and Systems
    • Year: 2024
    • Citations: 0
  • A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire Analog-to-time Converter for Biological and Low-Frequency Signals – Comparison with Analog Version
    • Authors: Teixeira, M.L., Oliveira, J.P., Principe, J., Goes, J.
    • Journal: IEEE Transactions on Biomedical Circuits and Systems
    • Year: 2024
    • Citations: 0
  • IEEE SSCS-EDS ESSCIRC-ESSDERC 2023 [Conference Reports]
    • Authors: Goes, J., De La Rosa, J., Cathelin, A., De Oliveira, L.B., Paulino, N.
    • Journal: IEEE Solid-State Circuits Magazine
    • Year: 2024
    • Citations: 0
  • A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire ATC for Biological and Low-Frequency Signals
    • Authors: Teixeira, M.L., Oliveira, J.P., Principe, J.C., Goes, J.
    • Conference: BioCAS 2023 – 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings
    • Year: 2023
    • Citations: 0
  • Design of an 20 GHz Wide-Band Input Buffer
    • Authors: Sebastião, D., Goes, J.
    • Conference: ICECS 2023 – 2023 30th IEEE International Conference on Electronics, Circuits and Systems
    • Year: 2023
    • Citations: 0
  • Chairs’ Message
    • Authors: Da Franca, J.E., Goes, J., De La Rosa, J.M., De Melo, J., Paulino, N.
    • Journal: European Solid-State Device Research Conference
    • Year: 2023
    • Citations: 0
  • ESSDERC 2023 Program
    • Authors: Da Franca, J.E., Goes, J., De La Rosa, J.M., De Melo, J., Paulino, N.
    • Journal: European Solid-State Device Research Conference
    • Year: 2023
    • Citations: 0
  • Chairs’ Message
    • Authors: Da Franca, J.E., Goes, J., De La Rosa, J.M., De Melo, J., Paulino, N.
    • Journal: European Solid-State Circuits Conference
    • Year: 2023
    • Citations: 0
  • Predictive Integrators with Thermal Noise Cancellation
    • Authors: Xavier, J., Leonardo, D., Barquinha, P., Goes, J.
    • Conference: Proceedings – IEEE International Symposium on Circuits and Systems
    • Year: 2023
    • Citations: 0

Muhammad Idrees | Optics and Quantum Dots | Best Researcher Award

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Dr. Muhammad Idrees | Optics and Quantum Dots | Best Researcher Award

Doctorate at  Zhejiang Normal University, China

Muhammad Idrees is a researcher specializing in Theoretical Physics and Optics, with a Ph.D. from Zhejiang University, China. His research focuses on Quantum Optics, Nonlinear Optics, Quantum Information, and Plasmonics, with significant contributions to Quantum Dot Systems and complex analysis. He has authored 23 impactful research articles and collaborates with international researchers across various countries. A reviewer for prestigious journals like Physical Review A and Optics & Laser Technology, Idrees has also been recognized with several awards for his academic achievements, including doctoral and MPhil thesis awards. His previous role as a Lecturer in Physics involved teaching advanced courses and supervising research projects.

Publication profile

Education

Muhammad Idrees earned his Doctor of Philosophy in Physics from the Department of Physics at Zhejiang University, Hangzhou, China, in June 2023. He completed his Master of Philosophy in Science with a focus on Quantum Optics from the University of Malakand, Pakistan, in September 2016, and his Bachelor of Science in Physics from the same university in September 2014, graduating with First Division honors.

Academic Qualification

Muhammad Idrees completed his Doctor of Philosophy in Physics at Zhejiang University, Hangzhou, China, focusing on Optics. He holds a Master of Philosophy in Science from the University of Malakand, Pakistan, with a specialization in Quantum Optics, and a Bachelor of Science in Physics from the same institution, graduating with first division honors.

Certifications and Training

Muhammad Idrees completed several notable training programs and qualifications throughout his academic career. In May 2017, he undertook a course in English for Academic Purposes at the University of Malakand, Pakistan, enhancing his academic language skills. He participated in the Summer Leadership Institute 2016, organized by the Ministry of Education & Training in Islamabad in June 2016, which focused on developing leadership skills. Additionally, he earned a Master of Education Science from the University of Malakand, Pakistan, in August 2012, further enriching his educational background.

Research Interest
  • 🔍Theoretical Physics
  • 🔍Quantum Optics
  • 🔍Nonlinear Optics
  • 🔍Quantum Information
  • 🔍Plasmonics
  • 🔍Quantum Dots
  • 🔍Complex and Functional Analysis
  • 🔍Numerical Solutions of ODEs
  • 🔍Numerical Optimization

Skills

  • Theoretical and Experimental Optics: Expertise in Quantum Optics, Nonlinear Optics, and Plasmonics.
  •  Mathematical and Computational Skills: Proficient in complex analysis and numerical optimization techniques.
  • Research and Review: Experience in reviewing for high-impact journals and publishing significant research articles.

Publication top notes

  1. “Enhancement of Goos-Hanchen Shift via Chiral Quantum-Dot Molecules System” – Physical Review A (2023).
  2. “Phase-sensitive manipulation of atom localization using probe field transmission spectrum” – Optical and Quantum Electronics (2021).
  3. “High-Resolution Two-Dimensional Atomic Localization via Tunable Surface Plasmon Polaritons” – Plasmonics (2021).
  4. “Spatial-dependent probe transmission based high-precision two-dimensional atomic localization” – Communications in Theoretical Physics (2021).
  5. “Tunable phase and angular momentum dependent enhanced rotary photon drag in a gain assisted medium” – Optical and Quantum Electronics (2021).

Driss Oraichi | Mathematics | Best Researcher Award

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Driss Oraichi | Mathematics | Best Researcher Award

Associate Director of GSK, United States

Driss Oraichi is a seasoned expert in mathematics, statistics, and epidemiology with a robust background in both academic and industry settings. With extensive experience in managing and analyzing large datasets and conducting epidemiological research, Dr. Oraichi is dedicated to advancing public health through rigorous statistical methods and collaborative research. Fluent in English, Arabic, and French, he is committed to mentoring and fostering the next generation of statisticians and researchers.

Publication profile

Education

Driss Oraichi earned his Bachelor’s Degree in Mathematics with a focus on Numerical Analysis from Hassan II University in Casablanca, Morocco, in 1991. He then completed his Master’s in Applied Mathematics at the University of Geneva, Switzerland, in 1997, with a thesis on Algebraic Differential Equations. Dr. Oraichi achieved his Ph.D. in Mathematics, specializing in Statistics, from the University of Quebec in Montreal, Canada, in 2002, with a dissertation on Integer-Valued Nonlinear Time Series Models.

Experience

Dr. Oraichi brings over 24 years of expertise in mathematics, statistics, biostatistics, and epidemiology. His career spans academia, the pharmaceutical industry, and consulting organizations. As an Associate Director at GlaxoSmithKline Vaccines in Rockville, USA, he led statistical oversight for vaccine safety and effectiveness studies, collaborated on study design, and contributed to regulatory submissions. Previously, he worked as a Research Associate at CHU Sainte Justine in Montreal, Canada, where he designed and analyzed epidemiological studies and supervised students. Dr. Oraichi also served as a Sessional Lecturer at the University of Quebec in Montreal, teaching mathematics and statistics, and began his career as a high school teacher in Casablanca.

Research focus

Dr. Oraichi’s research focuses on advanced statistical methodologies, including generalized linear models, survival analysis, and time series analysis. His work extensively involves real-world data (RWD) analysis, including insurance claims and electronic health records. He is particularly interested in observational healthcare research, evaluating the safety and effectiveness of drugs and vaccines.

Publication top notes

• Marshall JK., Bessette L., Thorne C., Shear NH., Lebovic G., Gerega SK., Millson B.,
Oraichi D., Gaetano T., Gazel S., Latour MG., Laliberté MC. Impact of the Adalimumab
Patient Support Program’s Care Coach Calls on Persistence and Adherence in Canada:
An Observational Retrospective Cohort Study. Clinical Therapeutics 2018 Mar; Volume
40, Issue 3 pages 415-429.

• Santos F., Oraichi D., Bérard A. Prevalence and predictors of anti-infective use during
pregnancy. Pharmacoepidemiology and Drug Safety 2010 Apr;19(4):418-27.

• Gendron MP., Martin B., Oraichi D., Bérard A. Health care providers` requests to
Teratogen Information Services on medication use during pregnancy and lactation.
European Journal of Clinical Pharmacology 2009 May;65(5):523-31.

• Moussally K., Oraichi D., Bérard A. Herbal product use during pregnancy: Prevalence
and predictors. Pharmacoepidemiology and Drug Safety 2009 Jun;18(6):454-61.

• Ramos E., Ofori B., Oraichi D., Bérard A. Antidepressant therapy during pregnancy: an
insight on its potential health care costs. Canadian Society for Clinical Pharmacology,
2008 Fall;15(3).

Jnana Ramakrishna Chodisetti | Cybersecurity | Best Researcher Award

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Jnana Ramakrishna Chodisetti | Cybersecurity | Best Researcher Award

Jnana Ramakrishna Chodisetti, Tata Consultancy Services, India

Jnana Ramakrishna Chodisetti is a Cybersecurity Engineer at Tata Consultancy Services, specializing in malware analysis, threat hunting, and incident response. He holds a Bachelor of Technology in Electronics and Communication Engineering from Amrita School of Engineering, Bengaluru, where he graduated with First Class honors. Jnana’s expertise spans digital forensics, cryptography, and machine learning, with significant contributions to image encryption and malicious URL detection. His research includes developing advanced encryption algorithms and analyzing lightweight cryptographic methods for IoT. He has also gained practical experience through internships and research roles, and actively participates in cybersecurity competitions and organizations.

Publication profile

ORCID

Education

Jnana Ramakrishna Chodisetti earned his Bachelor of Technology in Electronics and Communication Engineering from Amrita School of Engineering, Bengaluru, India, graduating in 2023 with First Class honors and a CGPA of 7.71 on a 10.0 scale. His academic coursework covered a broad range of subjects including Computer Networks, Calculus, Probability and Random Processes, Linear Algebra, Matrix Algebra, Computer Programming, and Data Structures and Algorithms.

Experience

Jnana began his professional career as a Cybersecurity Engineer at Tata Consultancy Services in Chennai, India, starting in August 2023. In this role, he works within the DFIR – Threat Hunting unit, focusing on Malware Analysis, Threat Hunting, and Incident Response, utilizing tools such as Splunk, QRadar, and Sentinel. Prior to this, he completed an internship as a Blue Teaming Trainee with Virtual Cyber Labs, where he gained practical knowledge in threat detection and research. He also served as a Research Intern at TIFAC-CORE in Cybersecurity, Amrita Vishwa Vidyapeetham, where he worked on image encryption schemes and cryptanalysis, proposing innovative methods using Elliptic Curve Cryptography.

Research focus

Jnana’s research has primarily concentrated on advancing cybersecurity and encryption technologies. His work includes developing novel image encryption algorithms using a 3D Logistic Map and an improved Chirikov Map, as well as analyzing lightweight cryptographic algorithms for IoT environments. Additionally, his research explores efficient authenticated encryption schemes based on Elliptic Curve Cryptography, aimed at enhancing both security and authentication for digital images.

Publication top notes

Sumit Kundu | Engineering | Best Researcher Award

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Prof. Sumit Kundu | Engineering | Best Researcher Award

 Professor of NIT Durgapur, India

Prof. Sumit Kundu is a distinguished academic in the field of Electronics and Communication Engineering. He earned his Bachelor of Engineering (Hons) from National Institute of Technology, Durgapur, with a University Gold Medal 🏅 in 1991, followed by an M.Tech in Telecommunication Systems Engineering from IIT Kharagpur 📚 in 1993-94, and a Ph.D. in Wireless Communication from IIT Kharagpur 🎓 in 2004. Since 1995, he has been a Full-Time Professor at NIT Durgapur 👨‍🏫 and served as an Assistant Professor at IIT Kharagpur in 2007 🏫. With over 200 research papers published and contributions to several book chapters 📑, his research interests span Cooperative Communication, NOMA for 5G, Intelligent Reflecting Surfaces (IRS), Cognitive Radio Networks, Energy Harvesting in Wireless Networks, Physical Layer Security, and Wireless Sensor Networks 🔬. As a Senior Member of IEEE, Prof. Kundu also reviews for numerous IEEE and Elsevier journals and conferences 🏅📖.

Publication profile
Education

Prof. Sumit Kundu achieved his Bachelor of Engineering (Hons) in Electronics & Communication Engineering from National Institute of Technology, Durgapur in 1991, where he was honored with a University Gold Medal 🏅. He pursued further education at IIT Kharagpur, earning his Master of Technology (M.Tech) in Telecommunication Systems Engineering in 1993-94 📚. His academic journey culminated with a Ph.D. in Wireless Communication from IIT Kharagpur in 2004 🎓.

Research Skill

Prof. Sumit Kundu possesses exceptional research skills in the domain of Electronics and Communication Engineering 🔬. His expertise includes Cooperative Communication, NOMA for 5G, Intelligent Reflecting Surfaces (IRS), Cognitive Radio Networks, Energy Harvesting in Wireless Networks, Physical Layer Security, and Wireless Sensor Networks 🌐. With over 200 research papers published in international journals and conferences 📑, and contributions to several book chapters, his research is widely recognized for its innovation and impact. As a Senior Member of IEEE, he also serves as a reviewer for prominent IEEE and Elsevier journals and conferences 🏅📖.

Research Interest

Prof. Sumit Kundu has a diverse and impactful research portfolio in the field of Electronics and Communication Engineering 🌐. His interests include Cooperative Communication 🤝, NOMA for 5G 📶, and Intelligent Reflecting Surfaces (IRS) 🌟. He also explores Cognitive Radio Networks 🧠, Energy Harvesting in Wireless Networks 🔋, Physical Layer Security 🔒, and Wireless Sensor Networks 📡. These areas reflect his commitment to advancing communication technologies and addressing emerging challenges in the field.

Achievements

  • University Gold Medal for Bachelor of Engineering (Hons) 🏅
  • M.Tech in Telecommunication Systems Engineering from IIT Kharagpur 📚
  • Ph.D. in Wireless Communication from IIT Kharagpur 🎓
  • Full-Time Professor at NIT Durgapur since 1995 👨‍🏫
  • Assistant Professor at IIT Kharagpur in 2007 🏫
  • Supervised 12 Ph.D. students in Wireless Communication and Networking 🧑‍🎓
  • Published over 200 research papers in international journals and conferences 📑
  • Contributed to several book chapters 📚
  • Research focuses on Cooperative Communication, NOMA for 5G, IRS, Cognitive Radio Networks, Energy Harvesting, Physical Layer Security, and Wireless Sensor Networks 🔬
  • Senior Member of IEEE and reviewer for IEEE and Elsevier journals and conferences 🏅📖

 Projects 

  • Cooperative Communication Systems 🤝
  • Non-Orthogonal Multiple Access (NOMA) for 5G Networks 📶
  • Intelligent Reflecting Surfaces (IRS) for Enhanced Wireless Coverage 🌟
  • Cognitive Radio Networks for Spectrum Efficiency 🧠
  • Energy Harvesting Techniques in Wireless Networks 🔋
  • Physical Layer Security in Communication Systems 🔒
  • Wireless Sensor Networks for Smart Applications 📡

Publication top notes

1. Performance Analysis of NR 5G Cellular Vehicle to Everything Communication in Mode 3
Authors: Nayak, D.K., Singh, A., Reddy, S.R.V., Roy, S.D., Kundu, S.
Journal: Wireless Personal Communications
Year: 2024
Volume: 137(1)
Pages: 27–48
Citations: 0

2. Outage of Cooperative NOMA with an Energy Harvesting Relay in an Underlay Cognitive Radio Network
Authors: Ghosh, P., Dhar Roy, S., Kundu, S.
Journal: International Journal of Communication Systems
Year: 2024
Volume: 37(8)
Article ID: e5749
Citations: 0

3. Throughput and Delay Analysis of Cognitive M2M Communications
Authors: Mondal, S., Davoli, L., Dhar Roy, S., Ferrari, G., Raheli, R.
Journal: Journal of Network and Computer Applications
Year: 2024
Volume: 225
Article ID: 103856
Citations: 0

4. Outage and Ergodic Capacity Analysis of a Full-Duplex Energy-Harvesting Cooperative Non-Orthogonal Multiple Access Network
Authors: Baranwal, A., Dhar Roy, S., Kundu, S.
Journal: International Journal of Communication Systems
Year: 2024
Volume: 37(6)
Article ID: e5710
Citations: 0

5. On Performance of a Full Duplex SWIPT Enabled Cooperative NOMA Network
Authors: Baranwal, A., Sharma, S., Roy, S.D., Kundu, S.
Journal: Wireless Networks
Year: 2024
Volume: 30(3)
Pages: 1643–1656
Citations: 0

6. UAV-RIS Enabled NOMA Network for Disaster Management with Hardware Impairments
Authors: Ghosh, S., Bhowmick, A., Dhar Roy, S., Kundu, S.
Journal: IEEE Transactions on Aerospace and Electronic Systems
Year: 2024
Citations: 0

7. UAV-Assisted Multi-Hop D2D Relaying for Communication in Large Disaster Areas
Authors: Ghosh, S., Bhowmick, A., Roy, S.D., Kundu, S.
Journal: International Journal of Communication Systems
Year: 2023
Volume: 36(18)
Article ID: e5615
Citations: 0

8. An Analysis of D2D Network Modeling and Its Performance
Authors: Das, A., Ghosh, S., Nallagonda, S., Roy, S.D., Kundu, S.
Book: Digital Transformation: Modernization and Optimization of Wireless Networks
Year: 2023
Pages: 1–23
Citations: 0

9. Secrecy Outage of an Energy Harvesting Multi-Relay Network with Multiple-Antenna
Authors: Sharma, S., Roy, S.D., Kundu, S.
Journal: Wireless Personal Communications
Year: 2023
Volume: 129(4)
Pages: 2503–2524
Citations: 0

10. UAV Assisted SWIPT Enabled NOMA Based D2D Network for Disaster Management
Authors: Ghosh, S., Roy, S.D., Kundu, S.
Journal: Wireless Personal Communications
Year: 2023
Volume: 128(4)
Pages: 2341–2362
Citations: 5

Bechoo Lal | Computer Science | Best Researcher Award

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Dr. Bechoo Lal | Computer Science | Best Researcher Award

Associate Professor of KLEF- KL University Vijayawada Campus Andhra Pradesh, India

Dr. Bechoolal 🌟 is an esteemed Associate Professor in Computer Science/Data Science with a passion for inspiring students through a deep understanding of technology and research. With a solid academic foundation that includes a PGP in Data Science from Purdue University and multiple PhDs in Information Systems and Computer Science 🎓, he brings a wealth of expertise to his teaching and research. Dr. Bechoolal has extensive experience in various institutions, from KLEF KL Deemed University to Western College 🏫, and has made significant contributions through his numerous research publications and certifications 🏅. His interests span Machine Learning, Data Science, and programming languages, and he actively engages in projects that explore digital transformation and its societal impacts 💻🔍. Fluent in English and Hindi 🇬🇧🇮🇳, he continues to advance knowledge and inspire the next generation of tech professionals.

Publication profile

Education

Dr. Bechoolal 🎓 is a distinguished academic with a rich educational background in Computer Science and Data Science. He earned a PGP in Data Science from Purdue University 🌟, where he specialized in data regression models and predictive data modeling. Dr. Bechoolal holds multiple PhDs—one in Information Systems from the University of Mumbai and another in Computer Science from SJJT University 🧠. His foundational studies include a Master of Technology in Computer Science from AAI-Deemed University, a Master of Computer Applications from Banaras Hindu University, and an undergraduate degree in Statistics from MG. Kashi Vidyapeeth University 📚. His continuous quest for knowledge is also reflected in his various certifications, including Machine Learning from Stanford University and an IBM Data Science Professional Certificate 🏅.

Academic Qualification

  • 📜 PGP in Data Science (2020-2021) from Purdue University, USA – Specializing in data regression models, predictive data modeling, and accuracy analyzing using machine learning.
  • 📜 PhD in Information System (2015-2019) from the University of Mumbai, India – Research Area: Data Science.
  • 📜 PhD in Computer Science (2011-2015) from SJJT University, India – Research Area: Machine Learning.
  • 📜 Master of Technology (M. Tech) in Computer Science and Engineering (2004-2006) from AAI-Deemed University, Allahabad, India.
  • 📜 Master of Computer Application (MCA) (1995-1998) from Institute of Science, Banaras Hindu University (BHU), India.
  • 📜 Graduation (Statistics-Hons) (1990-1993) from the Department of Mathematics and Statistics, MG Kashi Vidyapeeth University, India.

Data Science Certifications and Training

  • 🎓 Machine Learning, Stanford University, USA (2020)
  • 🎓 IBM Data Science Professional Certificate (2020)
  • 🎓 Data Science and Big Data Analytics (2019), ICT Academy, Govt. of India
  • 🎓 Security Fundamentals, Microsoft Technology Associate (2017)
  • 🎓 Intelligent Multimedia Data Warehouse and Mining (2009), University of Mumbai
  • 🎓 Python Programming (2017), University of Mumbai, India

 

Teaching Interest 

  • 📘 Data Science/Machine Learning
  • 📘 Database 📘 C/C++/Python Programming Languages
  • 📘 Software Engineering

Research Interest

  • 🔍 Machine Learning
  • 🔍 Data Science

Computer Science/Data Science Skills

💻 Machine Learning, Data Visualization, Big Data Analytics

📊 Predictive Modelling: Supervised Learning (Linear and Logistic Regression, Decision Tree, Support Vector Machine (SVM), Naïve Bayes Classifiers), Unsupervised Learning (K-Means clustering, principal components analysis (PCA))

💻 Programming Languages: Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn), SPSS, R-Programming

💻 Operating Systems/Platforms: UNIX/LINUX, WINDOWS, MS-DOS

💻 C/C++, CORE JAVA Programming Languages

💻 DBMS/RDBMS: Oracle, SQL, MySQL, NoSQL

Publication top notes

  • Improving migration forecasting for transitory foreign tourists using an Ensemble DNN-LSTM model
    Authors: Nanjappa, Y., Kumar Nassa, V., Varshney, G., Pandey, S., V Turukmane, A.
    Journal: Entertainment Computing
    Year: 2024
    Citations: 0 📅
  • Using social networking evidence to examine the impact of environmental factors on social followings: An innovative Machine learning method
    Authors: Murthy, S.V.N., Ramesh, P.S., Padmaja, P., Reddy, G.J., Chinthamu, N.
    Journal: Entertainment Computing
    Year: 2024
    Citations: 0 📅
  • Real-Time Convolutional Neural Networks for Emotion and Gender Classification
    Authors: Singh, J., Singh, A., Singh, K.K., Samudre, N., Raperia, H.
    Conference: Procedia Computer Science
    Year: 2024
    Citations: 0 📅
  • Identification of Brain Diseases using Image Classification: A Deep Learning Approach
    Authors: Singh, J., Singh, A., Singh, K.K., Turukmane, A.V., Kumar, A.
    Conference: Procedia Computer Science
    Year: 2024
    Citations: 0 📅
  • Fake News Detection Using Transfer Learning
    Authors: Singh, J., Sahu, D.P., Gupta, T., Lal, B., Turukmane, A.V.
    Conference: Communications in Computer and Information Science
    Year: 2024
    Citations: 0 📅
  • Reliability Evaluation of a Wireless Sensor Network in Terms of Network Delay and Transmission Probability for IoT Applications
    Authors: Mishra, P., Dash, R.K., Panda, D.K., Lal, B., Sujata Gupta, N.
    Journal: Contemporary Mathematics (Singapore)
    Year: 2024
    Citations: 0 📅
  • TRANSFER LEARNING METHOD FOR HANDLING THE INTRUSION DETECTION SYSTEM WITH ZERO ATTACKS USING MACHINE LEARNING AND DEEP LEARNING
    Authors: Upender, T., Lal, B., Nagaraju, R.
    Conference: ACM International Conference Proceeding Series
    Year: 2023
    Citations: 0 📅
  • Monitoring and Sensing of Real-Time Data with Deep Learning Through Micro- and Macro-analysis in Hardware Support Packages
    Authors: Lal, B., Chinthamu, N., Harichandana, B., Sharmaa, A., Kumar, A.R.
    Journal: SN Computer Science
    Year: 2023
    Citations: 0 📅
  • An Efficient QRS Detection and Pre-processing by Wavelet Transform Technique for Classifying Cardiac Arrhythmia
    Authors: Lal, B., Gopagoni, D.R., Barik, B., Kumar, R.D., Lakshmi, T.R.V.
    Journal: International Journal of Intelligent Systems and Applications in Engineering
    Year: 2023
    Citations: 0 📅
  • IOT-BASED Cyber Security Identification Model Through Machine Learning Technique
    Authors: Lal, B., Ravichandran, S., Kavin, R., Bordoloi, D., Ganesh Kumar, R.
    Journal: Measurement: Sensors
    Year: 2023
    Citations: 3 📅📈