Khubaib Ahmed Qureshi | Machine Learning | Member

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Khubaib Ahmed Qureshi | Machine Learning | Member

Dr Khubaib Ahmed Qureshi Institute of Business Management, Pakistan

Dr Khubaib Ahmed Qureshi received his PhD degree from DHA Suffa University. He worked with Twitter as a research partner. He is affiliated with the Department of Computer Science, IoBM, as an Assistant Professor. He served DHA Suffa University for 10 years and was also the Head of the Data Science Program. He was the Head of the Computer Science Department, HIMS, Hamdard University, Karachi. He has 24 years of comprehensive research and teaching experience, continuing research in the area of computer science named data science, complex networks, and social computing. He has authored several research articles along with chapters in different books.

Education:

He holds a Ph.D. in Data Science from DHA Suffa University, where he conducted research on “Automatic Credibility Assessment of Information over Social Networks,” achieving a commendable CGPA of 3.89. Prior to his doctoral studies, he earned an M. Phill in Data Engineering from SZABIST, securing the top position with a remarkable CGPA of 3.75. His academic journey includes a Master’s in Computer Science (M.C.S) specializing in Software Engineering from SZABIST, where he was recognized as a scholarship holder and awarded the gold medal for his outstanding performance, attaining a CGPA of 3.9. He also holds a Bachelor’s in Computer Science (B.C.S) from Petroman (SALU), where he excelled with a percentage of 76.94%. His educational foundation began with a Higher Secondary Certificate (HSC) in Pre-Engineering and a Secondary School Certificate (SSC) in Science from Karachi Board in 1993 and 1991, respectively.

Experience:

He is an Assistant Professor in the Computer Science Department, where he teaches a diverse range of subjects to undergraduate students, including Data Science, Social Network Analysis (SNA), Machine Learning (ML), Information Retrieval (IR), Database Management (DB), Operating Systems (OS), Information Technology and Communication (ITC), Enterprise Resource Planning (ERP), Management Information Systems (MIS), Software Engineering (SE), and Programming Fundamentals, among others. Additionally, he serves as a Technology Consultant for Corbit Solutions, a technology solution provider, offering his expertise in various technological domains. Moreover, he holds the role of Technical Advisor at DAW Medical University, where he advises on the Digital Research Library Project. Prior to his current positions, he served as the Head of the IT Department and Associate Professor at Hamdard University’s Hamdard Institute of Management Sciences (HIMS) from December 1999 to August 2013. During his tenure at HIMS, he taught subjects like Customer Relationship Management (CRM), Supply Chain Management (SCM), Enterprise Resource Planning (ERP) with Oracle Financials, Business Intelligence, Visual Basic (V.B), Relational Database Management Systems (RDBMS), Oracle/Developer, System Analysis and Design (SAD), Management Information Systems (MIS), Microsoft Access (MS Access), Decision Support Systems (DSS), Management Support Systems (MSS), Information Technology in Business, and Operating Systems (OS) to MBA/BBA students, while also providing various services to the institute.

🌐 Profile Links:

Publications:

  1. Explainable tweet credibility ranker: A comprehensive credibility solution Published By : 2023

  2. Deception detection on social media: A source-based perspective Cited By : 5, Published By : 2022

  3. A Knowledge Graph-Based Framework for Integrated Network-Centric Warfare Strategies for Cyber-Physical-Social World Published By : 2022

  4. Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter Cited By : 17, Published By : 2021

  5. Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation Cited By : 9, Published By : 2021

  6. Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text Cited By : 28, Published By : 2021

  7. Mobile database computing performance related issues and recommendations with adoptable object oriented model of mobile database management system Published By : 2011

 

Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

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Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

Prof Guangxia Xu Guangzhou University, China

Engaged in research on big data security and intelligent analysis, network security and control, and blockchain technology and applications. Holds a bachelor’s degree in computer applications, master’s degree in software engineering, and Ph.D. in computer science and technology from Chongqing University, with a postdoctoral fellowship from Chongqing University’s Communication and Information Engineering. Currently a professor at Chongqing University of Posts and Telecommunications, she serves as the Executive Deputy Director of the Chongqing Engineering Laboratory for Network and Information Security Technology and the Chongqing Key Laboratory of Cyberspace and Information Security. A senior member of the China Computer Federation (CCF), member of the Blockchain Special Committee, ACM member, and IEEE senior member. Expert evaluator for the National Natural Science Foundation, the Ministry of Science and Technology, and various institutions in Chongqing. Over the past decade, she has led numerous national and provincial research projects, published extensively, and holds multiple patents.

Education:

She is a distinguished female academic born in 1974, holding a Ph.D., professorship, and serving as a doctoral supervisor. She is recognized as a leading talent in technological innovation in Chongqing, China. Her expertise lies in the research areas of big data security and intelligent analysis, network security and management, and blockchain technology and applications. She earned her Bachelor’s degree in Computer Applications, Master’s degree in Software Engineering, and Ph.D. in Computer Science and Technology from Chongqing University. She also completed her postdoctoral research in Communication and Information Engineering at Chongqing University. As an accomplished scholar, she has enriched her research experience as a visiting scholar at Stevens Institute of Technology in the United States, focusing on big data analytics. Currently, she holds the position of Professor in the Software School at Chongqing University of Posts and Telecommunications. Additionally, she serves as the Executive Deputy Director of the Engineering Laboratory for Network and Information Security Technology and the Key Laboratory of Network Space and Information Security in Chongqing Municipality. Moreover, she leads the innovation team responsible for big data security and intelligent analysis technology in Chongqing Municipality.

🌐 Profile Links:

Experience :

She is a senior member of the China Computer Federation (CCF) with membership number 33651M and a member of the Blockchain Special Committee. Additionally, she is an ACM member with membership number 4577936 and an IEEE senior member with membership number 95603944. She serves as an expert evaluator for the National Natural Science Foundation and the Ministry of Science and Technology, as well as a project review expert for various institutions in Chongqing. She holds leadership positions in several organizations, including Vice Chairman of the Chongqing Information Security Association and Vice Chairman of the Chongqing Blockchain Alliance. She also contributes as a reviewer for prestigious journals such as IEEE Internet of Things, ACM Computing Surveys, and Digital Communications and Networks. Moreover, she is actively involved in conference organization, serving as the General Chair of ICBCTIS2021 (International Conference on Blockchain Technology and Information Security) and as a Program Committee Member for various workshops and conferences in the field of cybersecurity and data science.

Publications:

  1. SDN-based data transfer security for Internet of Things Cited By : 119, Published By : 2017
  2. Improvement of the DPoS consensus mechanism in blockchain based on vague sets Cited By : 104, Published By : 2019
  3. A survey for mobility big data analytics for geolocation prediction Cited By : 73, Published By : 2016
  4. A social emotion classification approach using multi-model fusion Cited By : 58, Published By : 2020
  5. Cross-domain sentiment aware word embeddings for review sentiment analysis Cited By : 43, Published By : 2021
  6. A collaborative filtering recommendation algorithm based on user confidence and time context Cited By : 41, Published By : 2019
  7. A certificateless signcryption mechanism based on blockchain for edge computing Cited By : 37, Published By : 2022
  8. A blockchain-empowered federated learning in healthcare-based cyber physical systems Cited By : 29, Published By : 2022
  9. Fixed degree of decentralization DPoS consensus mechanism in blockchain based on adjacency vote and the average fuzziness of vague value Cited By : 29, Published By : 2021
  10. UAV’s agricultural image segmentation predicated by clifford geometric algebra Cited By : 29, Published By : 2019

 

Shegaw Tesfa | Maternal nutrition | Member

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Shegaw Tesfa | Maternal nutrition | Member

Mr Shegaw Tesfa Wolkite University, Ethiopia

He is Shegaw Tesfa Mengist, holding a BSc and MSc in AHN, currently serving as an academician at Wolkite University, one of Ethiopia’s prominent higher educational institutions. In his role, he diligently seeks out new ideas and concepts through research endeavors. Additionally, he is committed to capacity building within academic domains for learners, while also addressing community issues through dedicated community service initiatives. With a passion for advancing knowledge and contributing to societal welfare, he strives to make a meaningful impact both within the academic sphere and in the broader community.

Education:

He pursued higher education, earning an MSc from Addis Ababa University in Ethiopia in 2019, where he distinguished himself as a top-scoring student in his graduation class with a CGPA of 3.83. His research results were recognized with the distinction of “Excellence.” Prior to this, he completed his BSc Degree in Nursing from Debre Markos University in 2015, where he also excelled as a top scorer in his graduating class with a CGPA of 3.8. Throughout his academic journey, he consistently demonstrated diligence and dedication to his studies, resulting in outstanding achievements. In his secondary education at Kuy Secondary School from 2008 to 2011, he stood out as a top-graded student, known for his patience, effective communication skills, self-confidence, and strong work ethic.

🌐 Profile Links:

Experience:

He is currently engaged in academic and research activities at Wolkite University in SNNP, Ethiopia, a renowned higher educational institution accredited by the federal ministry of education. With three years of experience in this role, he actively contributes to the academic and research endeavors of the university. Prior to his academic pursuits, he served for two years in the clinical field at Bullen Primary Health Center in Benshagul Gumz, Ethiopia. During this time, he dedicated himself to providing comprehensive health services to the community, focusing on health promotion, prevention, treatment, and rehabilitation as a clinical practitioner. Through his combined experiences in academia and clinical practice, he demonstrates a commitment to both advancing knowledge in his field and serving the healthcare needs of the community.

Publications:

  1. Mental Distress and Associated Factors Among Hospitalized Medical-Surgical Adult Inpatients in Public Hospitals Published By : 2022
  2. Pressure ulcer prevention knowledge, practices, and their associated factors among nurses in Gurage Zone Hospitals  Published By : 2022
  3. Maternal nutritional knowledge, practices and its associated factors during pregnancy in Addis Sub city health centers Published By : 2022
  4. Patient social support and its associated factors among hospitalized medical-surgical adult inpatients in public hospitals   Published By : 2021
  5. The applicability of basic preventive measures of the pandemic COVID-19 and associated factors among residents in Guraghe Zone   Published By : 2021
  6. Magnitude of visual impairment and associated factors among patients attending ophthalmic clinics of Debre Markos referral hospital  Published By : 2021

Hamed Sayarkhalaj | Attitude, Behavior and Knowledge | Member

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Hamed Sayarkhalaj | Attitude, Behavior and Knowledge | Member

Dr Hamed Sayarkhalaj Academic Center for Education, Culture and Research, Iran

He holds a doctorate in sociology from Isfahan University, specializing in environmental sociology. Additionally, he has served as an assessor in various companies spanning diverse industries. Presently, he is engaged in training human resources in persuasion skills, focusing on argument and rhetoric, employing interactive methodologies. His primary objective is to enhance the persuasion proficiency of employees, aiming to elevate their capabilities in this domain.

Education:

He completed his Doctor of Philosophy (PhD) in Sociology at the University of Isfahan from September 2017 to July 2022. Prior to this, he earned a Master of Arts (MA) degree in Sociology from Yazd University, where he studied from September 2012 to September 2014. He began his academic journey with a Bachelor’s degree in Sociology from Allameh Tabataba’i University, where he studied from September 2008 to September 2012. Alongside his academic qualifications, he has also acquired various certifications, although the specific details of these certifications are not provided.

🌐 Profile Links:

Experience:

He has been actively involved in various roles within the industry and academia. Currently, he serves as a faculty member at ACECR since June 2022, contributing his expertise to the institution’s programs and initiatives. In addition to his academic role, he works as an assessor for several organizations, including Sepahan Battery Industrial Complex, JAECO (Jahan Ara Espadana), Esfahan’s Mobarakeh Steel Company, and others. His extensive experience in assessing competency in recruitment exams spans several years, demonstrating his commitment to ensuring quality standards in hiring processes. Moreover, he has also served as a facilitator for Jdisf, further highlighting his dedication to facilitating learning and development opportunities. Throughout his diverse roles, he continues to make significant contributions to his field.

Publications:

  1. A study of social factor affecting environmental behavior of residents of the city of yazd Cited By : 24, Published By : 2014
  2. Factors Associated with Environmental Behavior in the Urban Environment (Case Study: the Citizens of the City of Karaj) Cited By : 9, Published By : 2016
  3. Social Factors influencing environmental behavior (Case Study: Yazd City) Cited By : 7, Published By : 2014
  4. Social Factors Relative to Fashion Victim Among Youth in City of Yazd Cited By : 6, Published By : 2016
  5. Cultural and environmental factors among residents in Yazd Cited By : 6, Published By : 2015
  6. The Socio – Cultural Factors Related With Soccess of Productive Cooperatives in Yazd Cited By : 6, Published By : 2015
  7. Investigating energy literacy and its structural model for citizens of Mashhad Cited By : 2, Published By : 2022
  8. Sociological analysis of fashionism among the youth of Yazd city Cited By : 2, Published By : 2016
  9. ClClimate Change and the Agricultural Community (Study of Isfahan Province Farmers’ Perceptions of Climate Change’s Consequences) Published By : 2023
  10. Behavioral assessment of persuasion: argumentative and rhetorical skills Published By : 2023

Amir Noori | Water Consumption Behavior | Member

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Amir Noori | Water Consumption Behavior | Member

Mr Amir Noori University of Ottawa, Canada

Amir Noori is a Ph.D. Candidate at the Department of Civil Engineering, University of Ottawa, Canada. He received his M.Sc. in Water Resource Engineering and Management. His research interests are directed at water resources planning, Multi-Criteria Decision-Making (MCDM) methods, Climate Change, and RS and GIS. Results obtained from his research have been published in multiple papers in international journals.

Education:

He is currently pursuing a Ph.D. in Water Resources Engineering at the University of Ottawa in Ontario, Canada. His research focuses on the rehabilitation planning of municipal water distribution networks under the impacts of climate change, with Prof. Hossein Bonakdari as his supervisor. Prior to this, he obtained his M.Sc. in Water Resources Engineering and Management from Razi University in Kermanshah, Iran, where he achieved a GPA of 16.81 out of 20. His master’s thesis, supervised by Prof. Hossein Bonakdari, involved the development of an optimal water supply plan using integrated fuzzy multi-criteria decision-making methods. He also holds a B.Sc. in Civil Engineering-Water from the Islamic Azad University, Central Tehran Branch, Tehran, Iran, with a GPA of 15.52 out of 20. Throughout his academic journey, he has demonstrated a strong commitment to water resources management and engineering research.

🌐 Profile Links:

Experience:

He currently serves as a Research Assistant at the Department of Civil Engineering at the University of Ottawa in Ontario, Canada, under the supervision of Prof. Hossein Bonakdari. Additionally, he holds the position of Assistant Researcher at both the Departments of Civil Engineering and Geology at Razi University in Kermanshah, Iran, where he works under the joint supervision of Prof. Hossein Bonakdari and Dr. Jafar MasoomPour Samakosh. Previously, he worked as a Scientific Researcher at the Department of Surface Water in the Regional Water Authority of Kermanshah, Iran, under the supervision of Dr. Ali Fattahi. His extensive research experience also includes a role as a Research Assistant at the Department of Civil Engineering at Razi University in Kermanshah, Iran, from 2016 to 2019, supervised by Prof. Hossein Bonakdari. Throughout his career, he has demonstrated a strong dedication to advancing knowledge and expertise in civil and water engineering.

Awards and Honors:

He has been recognized for his academic achievements with various prestigious scholarships and grants. Notably, he was awarded the Admission Scholarship of the University of Ottawa, Canada, spanning from January 2023 to January 2027, followed by the Special Merit Scholarship of the Faculty of Engineering at the same university, covering the period from January 2023 to January 2024. Additionally, he received the Doctoral International Scholarship from the University of Ottawa, Canada, extending from January 2023 to January 2028. Prior to his doctoral studies, he was granted the Kermanshah Province Regional Water Authority Grant in July 2021. His outstanding performance during his master’s studies at Razi University led to him being ranked as the top student in the entire graduating class in September 2019. Furthermore, he was awarded a Tuition-Waiver for the master’s program at Razi University, which he attended from September 2016 to September 2019.

Publications:

  1. The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model Cited By : 42, Published By : 2018
  2. Exploring the role of advertising types on improving the water consumption behavior: An application of integrated fuzzy AHP and fuzzy VIKOR method Cited By : 37, Published By : 2020
  3. A group Multi-Criteria Decision-Making method for water supply choice optimization Cited By : 30, Published By : 2021
  4. Development of optimal water supply plan using integrated fuzzy Delphi and fuzzy ELECTRE III methods—Case study of the Gamasiab basin  Cited By : 30, Published By : 2020
  5. Optimized artificial neural networks-based methods for statistical downscaling of gridded precipitation data Cited By : 29, Published By : 2019
  6. A reliable GIS-based FAHP-FTOPSIS model to prioritize urban water supply management scenarios: A case study in semi-arid climate  Cited By : 23, Published By : 2022
  7. Comparison performance of artificial neural network based method in estimation of electric conductivity in wet and dry periods: Case study of Gamasiab river, Iran Cited By : 5, Published By : 2019
  8. Performance assessment of modified clinoptilolite and magnetic nanotubes on sulfate removal and potential application in natural river samples Cited By : 4, Published By : 2020
  9. A novel Multiple Attribute Decision-making approach for assessing the effectiveness of advertising to a target audience on drinking water consumers’ behavior considering age … Cited By : 3, Published By : 2023
  10. Investigation of Groundwater Resources Quality for Drinking Purposes Using GWQI and GIS: A Case Study of Ottawa City, Ontario, Canada Cited By : 2, Published By : 2023

 

Sirlene Maria da Costa | Textile | Best Researcher Award

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Sirlene Maria da Costa | Textile | Best Researcher Award

Assoc Prof Dr Sirlene Maria da Costa University of Sao Paulo, Brazil

A graduate in Industrial Chemical Engineering from the Faculty of Chemical Engineering of Lorena (FAENQUIL), now part of the School of Engineering of Lorena (EEL-USP), São Paulo (1996). She earned her master’s degree (1999) and Ph.D. (2005) in Industrial Biotechnology from FAENQUIL. Furthering her expertise, she completed a postdoctoral degree in Pharmaceutical Biochemical Technology at the Faculdade de Ciências Farmacêuticas, USP-SP. Formerly a researcher at the Center for Technical and Manufactured Textiles (CETIM) of the Technological Research Institute (IPT), she currently serves as a lecturer and researcher at the University of São Paulo EACH/USP. Her focus includes Textile Technology and Industrial Biotechnology, specializing in agroindustrial residues, biopulping, cellulose production, natural polymers, enzymes, and technical textiles.

Education:

She completed her Doctorate in Industrial Biotechnology from the Faculty of Chemical Engineering of Lorena (FAENQUIL), Lorena, Brazil, spanning from 2001 to 2005. Her doctoral research, conducted under the guidance of Adilson Roberto Gonçalves, focused on characterizing chemical pulps derived from a biological pretreatment of sugarcane bagasse in a 20L bioreactor. Her commitment to advancing knowledge in this field was recognized with a scholarship from the São Paulo Research Foundation. Prior to her doctorate, she earned a Master’s in Microbiology from FAENQUIL (1999), exploring biological pretreatment with Panus tigrinus strains on sugarcane bagasse preceding chemical pulping. Her academic journey began with a Bachelor’s in Industrial Chemical Engineering at FAENQUIL (1996), showcasing a continuous dedication to advancing expertise in biotechnology and related fields.

🌐 Profile Links:

Experience:

From 2001 to 2005, she pursued her doctorate in Industrial Biotechnology. Currently, she holds a public service position, designated as Referência MS-3, RDIDP, working full-time for 40 hours weekly with exclusiveness. Alongside her primary role, she serves as a Titular Member of the Coordination Committee for the Textile and Fashion Course (CoC-TM). Since 2011, she has been actively engaged in this public service position, maintaining Referência MS-3, RDIDP, with full-time and exclusive commitment. In her administrative capacities, she currently holds the position of Vice Coordinator for the Postgraduate Program in Textile and Fashion at EACH/USP since July 2020. Additionally, as of May 2020, she serves as a Substitute Member of the Research Committee (CPq). With a continuous commitment to education, since August 2017, she has been teaching postgraduate courses in Textile and Fashion, offering expertise in disciplines such as TXM5016 – Application of Enzymes in the Textile Industry.

Publications:

  1. Use of sugar cane straw as a source of cellulose for textile fiber production Cited By : 117, Published By : 2013
  2. Sugarcane straw as a potential second generation feedstock for biorefinery and white biotechnology applications Cited By : 72, Published By : 2021
  3. Natural dye from Croton urucurana Baill. bark: Extraction, physicochemical characterization, textile dyeing and color fastness properties Cited By : 63, Published By : 2020
  4. Fibers obtained from alginate, chitosan and hybrid used in the development of scaffolds Cited By : 40, Published By : 2017
  5. Blocking erythemally weighted UV radiation using cotton fabrics functionalized with ZnO nanoparticles in situ Cited By : 39, Published By : 2019
  6. Bromelain immobilization in cellulose triacetate nanofiber membranes from sugarcane bagasse by electrospinning technique  Cited By : 38, Published By : 2020
  7. Integrated processes for use of pulps and lignins obtained from sugarcane bagasse and straw: a review of recent efforts in Brazil Cited By : 38, Published By : 2005
  8. Ceriporiopsis subvermispora used in delignification of sugarcane bagasse prior to soda/anthraquinone pulping Cited By : 35, Published By : 2005
  9. Natural dye from Croton urucurana Baill. bark: extraction, physicochemical characterization, textile dyeing and color fastness properties Cited By : 28, Published By : 2020
  10. Reuse of water from real reactive monochromic and trichromic wastewater for new cotton dyes after efficient treatment using H2O2 catalyzed by UV light Cited By : 23, Published By : 2021

 

Mojtaba Ehsanifar | Environmental Neuroscience | Member

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Mojtaba Ehsanifar | Environmental Neuroscience | Member

Assist Prof Dr Mojtaba Ehsanifar Torbat Jam University of Medical Sciences, Torbat Jam, Iran

Dr. Mojtaba Ehsanifar completed his Ph.D on December 25, 2018, in Environmental Health at the Iran University of Medical Sciences, Tehran, Iran. And now he continues his research on Environmental Neuroscience, Neurotoxicology, and Environmental Exposure. His research interests include Environmental Exposure, Neurotoxicology, Neurobehavioral, Neuroinflammation, and Oxidative Stress. He has done several projects on the effects of air pollution and nanoparticles in urban air on Neurobehavioral alteration, Neuroinflammation, and oxidative stress in animals using in-vivo models with a focus on the molecular mechanisms involved in neurodegenerative diseases. He has published several papers in reputed journals and presented them at congresses. Also, he has Cooperation as an editorial board member and reviewer with some of the reputed journals.

Education:

Dr. Mojtaba Ehsanifar holds a Ph.D. in Environmental Health from the Iran University of Medical Sciences, Tehran, Iran. His current focus lies in Environmental Neuroscience and The Exposome, where he continues his research endeavors. His areas of expertise span Neurotoxicology, Neurobehavioral and Neurodegenerative disorders, with particular interest in the effects of air pollution and nanoparticles in urban air on various neurological aspects. Through extensive projects, he has explored Neurobehavioral alteration, Anxiety and Depression, Learning and Memory, Neuroinflammation, and oxidative stress in animals, employing in-vivo models. His research delves into the molecular mechanisms underlying neuropathology and neurodegenerative diseases. With over 60 papers published in reputable journals and presentations at esteemed congresses, he actively contributes to the scientific community. Additionally, Dr. Ehsanifar serves as an editorial board member and reviewer for distinguished journals, further enhancing his involvement in advancing environmental health research.

🌐 Profile Links:

Experience:

He has been associated with the Anatomical Sciences Research Center at Kashan University of Medical Sciences in Kashan, Iran, since June 2015. In this role, he contributes to various research endeavors and scholarly pursuits within the field of anatomical sciences. His work encompasses a wide range of topics, including but not limited to anatomy, histology, and related research areas. Through his ongoing tenure at the center, he continues to make valuable contributions to the advancement of anatomical knowledge and scientific inquiry.

Publications:

  1. Exposure to nanoscale diesel exhaust particles: Oxidative stress, neuroinflammation, anxiety and depression on adult male mice Cited By : 89, Published By : 2022
  2. Airborne aerosols particles and COVID-19 transition Cited By : 61, Published By : 2021
  3. Prenatal exposure to diesel exhaust particles causes anxiety, spatial memory disorders with alters expression of hippocampal pro-inflammatory cytokines and NMDA receptor Cited By : 54, Published By : 2019
  4. Learning and memory disorders related to hippocampal inflammation following exposure to air pollution Cited By : 29, Published By : 2021
  5. The share of different vehicles in air pollutant emission in Tehran, Using 2013 Traffic Information Cited By : 21, Published By : 2016
  6. Study of microbial quality and heavy metal determination in 15 brands of Iranian bottled drinking water during 2009-2010 Cited By : 21, Published By : 2011
  7. Exposure to air pollution nanoparticles: Oxidative stress and neuroinflammation Cited By : 18, Published By : 2021
  8. Evaluation of bacterial quality and trace elements concentrations in 25 brands of Iranian bottled drinking water
  9. Cited By : 18, Published By : 2011
  10. Exposure To urban air pollution nanoparticles and CNS disease Cited By : 16, Published By : 2021

 

 

Mona Ismail | Nature Product | Member

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Mona Ismail | Nature Product | Member

Dr Mona Ismail National Institute of Oceanography and Fisheries, Egypt

Mona Ismail is an Associate Professor of Phycology at the National Institute of Oceanography and Fisheries in Alexandria, Egypt. With a notable expertise in her field, she has authored approximately 40 published papers in international journals, establishing herself as a respected voice in the scientific community. Her contributions extend beyond research, as she actively participates as both an editor and reviewer for various prestigious scientific international journals. Passionate about algae and biodiversity, she remains dedicated to advancing knowledge in these areas through her ongoing studies and scholarly endeavors. With her profound interest and extensive experience, she continues to make valuable contributions to the field of phycology, enriching our understanding of marine ecosystems and biodiversity conservation.

Education:

She holds a Ph.D. in Microbiology with a specialization in Phycology, obtained from the Faculty of Science at Tanta University, Egypt, in May 2010. Her doctoral research focused on the biological treatment of agricultural wastes, particularly in controlling rot root of Glycine Max. Prior to this, she earned her Master of Science degree in Microbiology with a focus on Phycology from Tanta University in October 2005. Her master’s research delved into biomass production of unicellular green algae under various growth conditions. Her academic journey began with a Bachelor of Science degree in Biology, Botany, and Microbiology, which she completed with distinction, earning a grade of “Very Good” from Tanta University in June 1999. Throughout her academic career, she has demonstrated a keen interest and dedication to the field of Microbiology, particularly in the study of algae and their applications in various domains.

🌐 Profile Links:

Experience:

She has been serving as an Assistant Professor at the National Institute of Oceanography and Fisheries (NIOF) in Alexandria since March 2019, where she contributes her expertise to various research projects and academic initiatives. Prior to this role, she worked as a Researcher at NIOF from June 2013 to 2019, gaining valuable experience in marine science and research methodologies. Beginning her career in academia, she served as an Assistant Researcher at the National Institute of Oceanography and Fisheries in September 2012. Her academic journey started earlier as a Lecturer of Botany and Microbiology, specializing in Phycology, at both the Faculty of Science and Faculty of Education at Kafr El-Sheekh University from January 2011 to June 2013. Before joining NIOF, she also held positions as an Assistant Researcher in Botany and Microbiology at Tanta University and contributed to teaching practical courses in the Botany Department from 2000 to 2005. Through her diverse experiences and dedication to marine science, she continues to make significant contributions to the field.

Publications:

  1. Chemodiversity and bioactivity assessment of phlorotannins from some Phaeophyta species from the Red Sea Published By : 2023
  2. Morpho-anatomical, and chemical characterization of some calcareous Mediterranean red algae species. Published By : 2023
  3. Evaluation of the response of phytoplankton communities to heavy metal stresses using multi-statistical approach, Alexandria coast, Egypt. International Journal of Environmental Science and Technology. Published By : 2023
  4. Water quality indices as tools for assessment of the Eastern Harbor’s water status (Alexandria, Egypt) Published By : 2023
  5. Physico-chemodiversity variation betweenthe most common calcareous red seaweed, Eastern Harbor, Alexandria, Egypt. Published By : 2023
  6. Probiotics and algal functional food Published By : 2022
  7. Weekly Fluctuation in Phytoplankton Macromolecular Composition in Response to Environmental Changes in the Eastern Harbour, Alexandria (Egypt). Published By : 2022
  8. Phytochemical variation, antioxidant and antidiabetic capacity of extracts of common brown seaweeds from the Red Sea, Egypt. Egyptian Journal of Aquatic Biology & Fisheries. Egyptian Journal of Aquatic Biology & Fisheries. Published By : 2022
  9. Chemical characterization and biological activities of ulvan extracted from Ulva fasciata (Chlorophyta). Rendiconti Lincei. Scienze Fisiche e Naturali. Published By : 2022
  10. Antioxidant and Antiviral Activity of Sulfated Polysaccharides Derived from Two Sargassum Species of Red Sea Egypt  Published By : 2022

 

Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

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Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

Dr Adnan Amin Institute of Management Sciences Peshawar, Pakistan

Adnan Amin earned his M.Sc. in Computer Science from the University of Peshawar in 2008. He received his MS-CS degree (highest 1st class honors with distinction) and a Ph.D. degree (with Scholastic Honours) in data mining and machine learning from the Institute of Management Sciences (IMSciences) Peshawar, Pakistan, in 2015 and 2023, respectively. In November 2015, he joined IMSciences as a lecturer at the Center for Excellence in Information Technology. He is the lead of IM|DigiSol and the faculty adviser for the Computing and Innovation Society (IMCIS) at IMSciences. Before, he worked as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, which was connected to the University of Jyvaskyla in Finland. This was part of a World Bank-funded project for Maxwell Stamp PLC, London (Project Code: P102573). Dr. Adnan’s research and innovation interests are industry-driven and cross-disciplinary. He focuses on developing and commercializing digital solutions and data mining/machine learning research innovations for a variety of industries, such as education, telecommunications, and healthcare. He has completed nearly 8 research projects in collaboration with international universities. He has served as the track chair of the WorldCist’21 workshop (LCBUDAMLT), the session chair of the ICITA’22, and a member of the program committees of numerous conferences including WorldCist, SDIWC, and DATA’23. He has (co) authored 29+ publications, including 16 journal articles, 11 conferences, and 2 book chapters in Springer, and obtained nearly 1000 citations with an h-index score of 14 and an i-index score of 16.

Education:

He completed his Ph.D. in Computer Science with a specialization in Data Mining & Machine Learning from the Center for Excellence in IT at the Institute of Management Sciences, Peshawar, Pakistan, in March 2023. His research focused on developing an adaptive learning approach for customer churn prediction using naïve Bayes. Prior to his Ph.D., he earned his MS in Computer Science with the highest 1st class honors and distinction from the same institution in May 2015, where he conducted research on a similar topic. He also holds an M.Sc. in Computer Science from the University of Peshawar, which he completed with a Grade of A+ in March 2008.

🌐 Profile Links:

Experience:

He has been serving as a lecturer at the Institute of Management Sciences in Peshawar, Pakistan, since November 2015. In this role, he teaches both graduate and undergraduate students and leads IM DigiSol, the institute’s in-house software house. Additionally, he holds the position of Web & Database Administrator (BPS-17) at the Directorate of Information Technology, Government of KP, where he spearheads the computerization efforts of the Special Branch Police Department and Counter Terrorism Department. Prior to this, he worked as an I.T/ERP Trainer at Rehman Medical Institute & Hospital in Peshawar, Pakistan, from 2012. He also served as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, Afghanistan, from 2009 to 2011, as part of a World Bank-funded project implemented through Maxwell Stamp PLC, London. In this capacity, he provided teaching support to undergraduate students.

Publications:

  1. Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study Cited By : 294, Published By : 2016
  2. Customer churn prediction in the telecommunication sector using a rough set approach Cited By : 258, Published By : 2017
  3. Customer churn prediction in telecommunication industry using data certainty Cited By : 232, Published By : 2018
  4. Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods Cited By : 88, Published By : 2019
  5. Churn prediction in telecommunication industry using rough set approach Cited By : 51, Published By : 2015
  6. Customer churn prediction in telecommunication industry: with and without counter-example Cited By : 40, Published By : 2014
  7. Just-in-time customer churn prediction in the telecommunication sector Cited By : 39, Published By : 2020
  8. Just-in-time customer churn prediction: With and without data transformation Cited By : 30, Published By : 2018
  9. A comparison of two oversampling techniques (smote vs mtdf) for handling class imbalance problem: A case study of customer churn prediction Cited By : 29, Published By : 2015
  10. Compromised user credentials detection in a digital enterprise using behavioral analytics Cited By : 27, Published By : 2019

 

Mehtab Afzal | Information Security | Member

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Mehtab Afzal | Information Security | Member

Assoc Prof Dr Mehtab Afzal University of Lahore – Defence Road Campus: The University of Lahore – New Campus, Pakistan

Dr. Mehtab Afzal, received the M.S. degree in Computer Science from COMSATS University Islamabad, Abottabad campus, Pakistan, in 2009 and the Ph.D. degree from Southwest Jiotong University Chengdu, Sichuan, China in 2016. He was a Research Associate in the Department of Computer Science and IT, COMSATS University Islamabad, Abottabad campus, Pakistan, from 2007 to 2009 and Lecturer with the Department of Computer Science, Gujrat University, Gujrat, Pakistan, from 2009 to 2010. He is currently an Associate Professor with the Department of Computer Science, The University of Lahore, Lahore, Pakistan. He has authored several research papers in international journals/conferences, such as the Knowledge-based systems (Elsevier), Neurocomputing (Elsevier), International Journal of Communication Systems (Wiley), International Conference on Multiple Classifiers Systems (Springer), etc. He also published couple of books with Lambert Academic Publishing, Germany. He has been serving as a Reviewer for several journals/conferences, including Multimedia Systems (Springer), Computers and Electrical Engineering (Elsevier), Knowledge-based Systems (Elsevier), etc. He is also a General Chair of the 4th International Conference on Advancements in Computational Sciences (ICACS’23). His research interests include multimedia information retrieval, computer vision and big data.

Education:

He completed his PhD in Computer Applied Technology at Southwest Jiaotong University in Chengdu, Sichuan, China, from 2010 to 2016. Prior to that, he pursued his Master of Science in Computer Science at COMSATS University Islamabad, Abbottabad Campus, Pakistan, from 2007 to 2009. His academic journey began with a Bachelor of Science in Computer Science from Allama Iqbal Open University in Islamabad, which he pursued from 2000 to 2004 at Paramount College of Computer Science in Wah Cantt. Throughout his educational pursuits, he has demonstrated a strong commitment to advancing his knowledge and expertise in the field of computer science.

🌐 Profile Links:

Experience:

He has held various academic positions throughout his career, starting as a Lecturer at Allama Iqbal Open University in Islamabad from 2005 to 2007, where he taught undergraduate courses. He then moved to the University of Gujrat in 2009-2010 as a Lecturer, continuing to teach undergraduate level courses. Subsequently, he joined the University of Lahore in 2016 as an Assistant Professor, where he taught courses and supervised thesis work at both undergraduate and postgraduate levels until 2022. Currently, he serves as an Associate Professor at the University of Lahore, where he holds the position of Conference General Chair for the ICACS23 conference and is a member of the Board of Studies.

Publications:

  1. Web Video Categorization using Category-Predictive Classifiers and Category-Specific Concept Classifiers Cited By : 7, Published By : 2016
  2. Web Video Classification with Visual and Contextual Semantics Cited By : 4, Published By : 2019
  3. Semi-supervised Evolutionary Ensembles for Web Video Categorization Cited By : 19, Published By : 2015
  4. A Base Level Ontology for Disaster Management Published By : 2017
  5. Detection of Imposter and Tampered Segments in Audio Recording using as Intelligent System Cited By : 2, Published By : 2021 
  6. GA-IRACE: Genetic Algorithm-Based Improved Resource Aware Cost-Efficient Scheduler for Cloud Fog Computing Environment  Published By : 2022
  7. ROCA: Auto-ResolvingOverlapping and Conflicts in ACL Policies for SDN. Published By : 2021
  8. Energy-Efficient Collaboration-BasedContent Sharing Strategy inDevice-to-Device Communication. Published By : 2021
  9. Extraction of opinion targets using syntactic rules in Urdu text Published By : 2021
  10. A Weighted Spatially Constrained Finite Mixture Model for Image Segmentation Published By : 2021