Ibraheem Haneef

@nust.edu.pk

Professor, Department of Aerospace Engineering, School of Mechanical & Manufacturing Engineering (SMME)
National University of Sciences & Technology (NUST)

Ibraheem Haneef


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https://researchid.co/ibraheem.haneef
Dr. Ibraheem Haneef is a Professor of Mechanical and Aerospace Engineering at SMME, NUST, Pakistan and a Visiting Professor at Coventry University, UK with over 34 years of combined academic and industrial expertise, including a PhD from the University of Cambridge, UK. A Fellow of the Royal Aeronautical Society (RAeS) and recipient of Pakistan’s prestigious Imtiazi Sanad, he excels in cutting-edge research, leadership in accreditation (Washington Accord/OBE), and fostering global academic-industry collaborations. His pioneering work in MEMS sensor design has yielded a commercialized US patent, 17+ high-impact publications (h-index 18, i-10 index 22), and research grants exceeding £300,000 and PKR 218 million. As Dean & Director General, Head of Dept, Director International Cooperation, at leading Pakistani institutions (NUST, Air University), he spearheaded the accreditation of pioneering engineering programs, established departments, and secured ISO 9000 certifications.

EDUCATION

Education:
• PhD Engineering, University of Cambridge, UK (2009) | Thesis: SOI CMOS MEMS flow sensors (yielded US Patent 9080907B2, commercialized twice).
• MS Aerospace Engineering., NUST, Pakistan (2004 | CGPA 3.81/4.00)
• BE Aerospace Engineering., NED University, Pakistan (1991 | University of Cambridge, UK (2004-2009)

RESEARCH, TEACHING, or OTHER INTERESTS

Aerospace Engineering, Mechanical Engineering, Energy Engineering and Power Technology, Instrumentation
33

Scopus Publications

983

Scholar Citations

19

Scholar h-index

24

Scholar i10-index

Scopus Publications

  • Application of SOI CMOS MEMS Flow Sensors for Real-Time Flow Separation Detection
    Zaheer Abbas, Mohtashim Mansoor, Ibraheem Haneef
    IEEE Sensors Journal, 2026
  • A Map-Based Recommendation System and House Price Prediction Model for Real Estate
    Maryam Mubarak, Ali Tahir, Fizza Waqar, Ibraheem Haneef, Gavin McArdle, et al.
    ISPRS International Journal of Geo Information, 2022
    In 2015, global real estate was worth $217 trillion, which is approximately 2.7 times the global GDP; it also accounts for roughly 60% of all conventional global resources, making it one of the key factors behind any country’s economic growth and stability. The accessibility of spatial big data will help real estate investors make better judgement calls and earn additional profit. Since location is deemed necessary for real estate and consequent decision-making, digital maps have become a prime resource for real estate purchases, planning and development. Personalisation can assist in making judgments by identifying user desires and inclinations, which can then be recorded or captured as a user performs some interactions with a digital map. A personalised real estate portal can use this information to suggest properties, assist homeowners and provide valuable real estate analytics. This article presents a novel framework for recommending real estate to users. By monitoring user interactions through an online real estate portal, the framework can make personalised recommendations of real estate based on content, collaboration and location. The effectiveness of the recommendations was tested by the user feedback mechanism through a method of mean absolute precision, and the results show that 79% precise suggestions were generated, i.e., out of 5 recommendations produced, users were interested in at least 3. Along with that, a separate house price prediction model based on neural networks and classical regression techniques was also implemented to assist users in making an informed decision regarding prospects of real estate purchase.
  • Material selection for optimum design of MEMS pressure sensors
    Zahid Mehmood, Ibraheem Haneef, Florin Udrea
    Microsystem Technologies, 2020
    Choice of the most suitable material out of the universe of engineering materials available to the designers is a complex task. It often requires a compromise, involving conflicts between different design objectives. Materials selection for optimum design of a Micro-Electro-Mechanical-Systems (MEMS) pressure sensor is one such case. For optimum performance, simultaneous maximization of deflection of a MEMS pressure sensor diaphragm and maximization of its resonance frequency are two key but totally conflicting requirements. Another limitation in material selection of MEMS/Microsystems is the lack of availability of data containing accurate micro-scale properties of MEMS materials. This paper therefore, presents a material selection case study addressing these two challenges in optimum design of MEMS pressure sensors, individually as well as simultaneously, using Ashby’s method. First, data pertaining to micro-scale properties of MEMS materials has been consolidated and then the Performance and Material Indices that address the MEMS pressure sensor’s conflicting design requirements are formulated. Subsequently, by using the micro-scale materials properties data, candidate materials for optimum performance of MEMS pressure sensors have been determined. Manufacturability of pressure sensor diaphragm using the candidate materials, pointed out by this study, has been discussed with reference to the reported devices. Supported by the previous literature, our analysis re-emphasizes that silicon with 110 crystal orientation [Si (110)], which has been extensively used in a number of micro-scale devices and applications, is also a promising material for MEMS pressure sensor diaphragm. This paper hence identifies an unexplored opportunity to use Si (110) diaphragm to improve the performance of diaphragm based MEMS pressure sensors.
  • Towards real estate analytics using map personalisation
    Gistam 2020 Proceedings of the 6th International Conference on Geographical Information Systems Theory Applications and Management, 2020
  • Sensitivity enhancement of silicon-on-insulator CMOS MEMS thermal hot-film flow sensors by minimizing membrane conductive heat losses
    Zahid Mehmood, Ibraheem Haneef, Syed Zeeshan Ali, Florin Udrea
    Sensors Switzerland, 2019
    Minimizing conductive heat losses in Micro-Electro-Mechanical-Systems (MEMS) thermal (hot-film) flow sensors is the key to minimize the sensors’ power consumption and maximize their sensitivity. Through a comprehensive review of literature on MEMS thermal (calorimetric, time of flight, hot-film/hot-film) flow sensors published during the last two decades, we establish that for curtailing conductive heat losses in the sensors, researchers have either used low thermal conductivity substrate materials or, as a more effective solution, created low thermal conductivity membranes under the heaters/hot-films. However, no systematic experimental study exists that investigates the effect of membrane shape, membrane size, heater/hot-film length and M e m b r a n e (size) to H e a t e r (hot-film length) Ratio (MHR) on sensors’ conductive heat losses. Therefore, in this paper we have provided experimental evidence of dependence of conductive heat losses in membrane based MEMS hot-film flow sensors on MHR by using eight MEMS hot-film flow sensors, fabricated in a 1 µm silicon-on-insulator (SOI) CMOS foundry, that are thermally isolated by square and circular membranes. Experimental results demonstrate that: (a) thermal resistance of both square and circular membrane hot-film sensors increases with increasing MHR, and (b) conduction losses in square membrane based hot-film flow sensors are lower than the sensors having circular membrane. The difference (or gain) in thermal resistance of square membrane hot-film flow sensors viz-a-viz the sensors on circular membrane, however, decreases with increasing MHR. At MHR = 2, this difference is 5.2%, which reduces to 3.0% and 2.6% at MHR = 3 and MHR = 4, respectively. The study establishes that for membrane based SOI CMOS MEMS hot-film sensors, the optimum MHR is 3.35 for square membranes and 3.30 for circular membranes, beyond which the gain in sensors’ thermal efficiency (thermal resistance) is not economical due to the associated sharp increase in the sensors’ (membrane) size, which makes sensors more expensive as well as fragile. This paper hence, provides a key guideline to MEMS researchers for designing the square and circular membranes-supported micro-machined thermal (hot-film) flow sensors that are thermally most-efficient, mechanically robust and economically viable.
  • Material selection for Micro-Electro-Mechanical-Systems (MEMS) using Ashby's approach
    Zahid Mehmood, Ibraheem Haneef, Florin Udrea
    Materials and Design, 2018
  • Evaluation of thin film p-type single crystal silicon for use as a CMOS Resistance Temperature Detector (RTD)
    Zahid Mehmood, Mohtashim Mansoor, Ibraheem Haneef, S. Zeeshan Ali, Florin Udrea
    Sensors and Actuators A Physical, 2018
  • A maskless etching technique for fabrication of 3D MEMS structures in SOI CMOS devices
    Mohtashim Mansoor, Ibraheem Haneef, Andrea De Luca, John Coull, Florin Udrea
    Journal of Micromechanics and Microengineering, 2018
  • Heritage preservation using aerial imagery from light weight low cost Unmanned Aerial Vehicle (UAV)
    Abdullah Tariq, S M Osama A Gillani, Hassaan Khaliq Qureshi, Ibraheem Haneef
    International Conference on Communication Technologies Comtech 2017, 2017
  • An SOI CMOS-based multi-sensor MEMS chip for fluidic applications
    Mohtashim Mansoor, Ibraheem Haneef, Suhail Akhtar, Muhammad Rafiq, Andrea De Luca, et al.
    Sensors Switzerland, 2016
    An SOI CMOS multi-sensor MEMS chip, which can simultaneously measure temperature, pressure and flow rate, has been reported. The multi-sensor chip has been designed keeping in view the requirements of researchers interested in experimental fluid dynamics. The chip contains ten thermodiodes (temperature sensors), a piezoresistive-type pressure sensor and nine hot film-based flow rate sensors fabricated within the oxide layer of the SOI wafers. The silicon dioxide layers with embedded sensors are relieved from the substrate as membranes with the help of a single DRIE step after chip fabrication from a commercial CMOS foundry. Very dense sensor packing per unit area of the chip has been enabled by using technologies/processes like SOI, CMOS and DRIE. Independent apparatuses were used for the characterization of each sensor. With a drive current of 10 µA–0.1 µA, the thermodiodes exhibited sensitivities of 1.41 mV/°C–1.79 mV/°C in the range 20–300 °C. The sensitivity of the pressure sensor was 0.0686 mV/(Vexcit kPa) with a non-linearity of 0.25% between 0 and 69 kPa above ambient pressure. Packaged in a micro-channel, the flow rate sensor has a linearized sensitivity of 17.3 mV/(L/min)−0.1 in the tested range of 0–4.7 L/min. The multi-sensor chip can be used for simultaneous measurement of fluid pressure, temperature and flow rate in fluidic experiments and aerospace/automotive/biomedical/process industries.
  • High-Sensitivity Single Thermopile SOI CMOS MEMS Thermal Wall Shear Stress Sensor
    Andrea De Luca, Ibraheem Haneef, John D. Coull, Syed Zeeshan Ali, Claudio Falco, et al.
    IEEE Sensors Journal, 2015
  • Silicon diode temperature sensors - A review of applications
    Mohtashim Mansoor, Ibraheem Haneef, Suhail Akhtar, Andrea De Luca, Florin Udrea
    Sensors and Actuators A Physical, 2015
  • SOI CMOS multi-sensors MEMS chip for aerospace applications
    M. Mansoor, I. Haneef, S. Akhtar, M. A. Rafiq, S. Z. Ali, et al.
    Proceedings of IEEE Sensors, 2014
  • A tungsten based SOI CMOS MEMS wall shear stress sensor
    I. Haneef, M. Umer, M. Mansoor, S. Akhtar, M. A. Rafiq, et al.
    Proceedings of IEEE Sensors, 2014
  • 3D modelling of a thermopile-based SOI CMOS thermal wall shear stress sensor
    C. Falco, A. De Luca, S. Sarfraz, I. Haneef, J. Coull, et al.
    Proceedings of the International Semiconductor Conference CAS, 2014
  • 3D multiphysics modelling of an SOI CMOS MEMS thermal wall shear stress sensor
    C. Falco, A. De Luca, S. Sarfraz, I. Haneef, J. Coull, et al.
    Procedia Engineering, 2014
  • A thermopile based SOI CMOS MEMS wall shear stress sensor
    A. De Luca, I. Haneef, J. Coull, S. Z. Ali, C. Falco, et al.
    Proceedings of the International Semiconductor Conference CAS, 2013
  • Minimizing the loss produced by a turbulent separation using vortex generator jets
    Simon Evans, John Coull, Ibraheem Haneef, Howard Hodson
    AIAA Journal, 2012
  • Improved infrared thermal imaging of a CMOS MEMS device
    16th International Workshop on Thermal Investigations of Ics and Systems Therminic 2010, 2010
  • Thermal characterization of SOI CMOS micro hot-plate gas sensors
    16th International Workshop on Thermal Investigations of Ics and Systems Therminic 2010, 2010
  • Silicon on insulator diode temperature Sensor - A detailed analysis for ultra-high temperature operation
    Sumita Santra, Prasanta K. Guha, Syed Zeeshan Ali, Ibraheem Haneef, Florin Udrea
    IEEE Sensors Journal, 2010
  • Minimizing the loss produced by a turbulent separation using vortex generator jets
    Simon Evans, John Coull, Howard Hodson, Ibraheem Haneef
    5th Flow Control Conference, 2010
  • Use of carbon micro-particles for improved infrared temperature measurement of CMOS MEMS devices
    Richard H Hopper, Ibraheem Haneef, Syed Zeeshan Ali, Florin Udrea, Christopher H Oxley
    Measurement Science and Technology, 2010
  • Ultra-high temperature (>300 °c) suspended thermodiode in SOI CMOS technology
    S. Santra, F. Udrea, P.K. Guha, S.Z. Ali, I. Haneef
    Microelectronics Journal, 2010
  • Nanowire hydrogen gas sensor employing CMOS micro-hotplate
    S.Z. Ali, S. Santra, I. Haneef, C. Schwandt, R.V. Kumar, et al.
    Proceedings of IEEE Sensors, 2009
  • Arrays of parallel connected coaxial multiwall-carbonnanotube-amorphous- silicon solar cells
    Hang Zhou, Alan Colli, Arman Ahnood, Yang Yang, Nalin Rupesinghe, et al.
    Advanced Materials, 2009
  • Ultra-high temperature (>300°C) suspended thermodiode in SOI CMOS technology
    F. Udrea, S. Santra, P. K. Guha, S. Z. Ali, I. Haneef
    14th International Workshop on Thermal Investigation of Ics and Systems Therminic 2008, 2008
  • Laminar to turbulent flow transition measurements using an array of SOI-CMOS MEMS wall shear stress sensors
    Ibraheem Haneef, John D. Coull, Syed Zeeshan Ali, Florin Udrea, Howard P. Hodson
    Proceedings of IEEE Sensors, 2008
  • SOI diode temperature sensor operated at ultra high temperatures-a critical analysis
    S. Santra, P. K. Guha, S. Z. Ali, I. Haneef, F. Udrea, et al.
    Proceedings of IEEE Sensors, 2008
  • On-chip deposition of carbon nanotubes using CMOS microhotplates
    M S Haque, K B K Teo, N L Rupensinghe, S Z Ali, I Haneef, et al.
    Nanotechnology, 2008
  • Force measurements on U-shaped electrothermal microactuators: Applications to packaging
    M Boutchich, T J Mamtora, G J McShane, I Haneef, D F Moore, et al.
    Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, 2008
  • High performance SOI-CMOS wall shear stress sensors
    Ibraheem Haneef, Syed Zeeshan Ali, Florin Udrea, John D. Coull, Howard P. Hodson
    Proceedings of IEEE Sensors, 2007
  • Use of nanocomposites to increase electrical "gain" in chemical sensors
    Sara M. C. Vieira, Paul Beecher, Ibraheem Haneef, Florin Udrea, William I. Milne, et al.
    Applied Physics Letters, 2007

RECENT SCHOLAR PUBLICATIONS

  • Application of SOI CMOS MEMS Flow Sensors for Real-Time Flow Separation Detection
    Z Abbas, M Mansoor, I Haneef
    IEEE Sensors Journal , 2026
    2026
  • A map-based Recommendation System and House Price Prediction Model for Real Estate
    M Mubarak, A Tahir, F Waqar, I Haneef, G McArdle, M Bertolotto, ...
    ISPRS International Journal of Geo-Information 11 (3), 178 , 2022
    2022
    Citations: 21
  • Towards Real Estate Analytics Using Map Personalisation.
    M Mubarak, K Khalid, F Waqar, A Tahir, I Haneef, G McArdle, M Bertolotto
    GISTAM, 184-190 , 2020
    2020
    Citations: 2
  • Material Selection for Optimum Design of MEMS Pressure Sensors
    Z Mehmood, I Haneef, F Udrea
    Microsystem Technologies 26, 2751–2766 , 2020
    2020
    Citations: 67
  • Sensitivity Enhancement of Silicon-on-Insulator CMOS MEMS Thermal Hot-film Flow Sensors by Minimizing Membrane Conductive Heat Losses
    Z Mehmood, I Haneef, SZ Ali, F Udrea
    Sensors 19 (8), 1860 , 2019
    2019
    Citations: 16
  • Material Selection for Micro-Electro-Mechanical-Systems (MEMS) Using Ashby's Approach
    Z Mehmood, I Haneef, F Udrea
    Materials & Design 157, 412-430 , 2018
    2018
    Citations: 67
  • Evaluation of Thin Film p-type Single Crystal Silicon for Use as a CMOS Resistance Temperature Detector (RTD)
    Z Mehmood, M Mansoor, I Haneef, SZ Ali, F Udrea
    Sensors and Actuators A: Physical 283, 159-168 , 2018
    2018
    Citations: 19
  • A Maskless Etching Technique for Fabrication of 3D MEMS Structures in SOI CMOS Devices
    M Mansoor, I Haneef, A De Luca, J Coull, F Udrea
    Journal of Micromechanics and Microengineering 28 (085013), (11 pp) , 2018
    2018
    Citations: 9
  • Heritage Preservation using Aerial Imagery from Light Weight Low Cost Unmanned Aerial Vehicle (UAV)
    A Tariq, SMOA Gillani, HK Qureshi, I Haneef
    2017 International Conference on Communication Technologies (ComTech), 201-205 , 2017
    2017
    Citations: 21
  • An SOI CMOS-based Multi-sensor MEMS Chip for Fluidic Applications
    M Mansoor, I Haneef, S Akhtar, MA Rafiq, A De Luca, SZ Ali, F Udrea
    Sensors 16 (11), 1608 , 2016
    2016
    Citations: 38
  • Silicon Diode Temperature Sensors – A Review of Applications
    M Mansoor, I Haneef, S Akhtar, A De Luca, F Udrea
    Sensors and Actuators A: Physical 232, 63–74 , 2015
    2015
    Citations: 202
  • Shear Stress Sensors
    I Haneef, HP Hodson, R Miller, F Udrea, CE Limited
    US Patent US 9080907 B2 , 2015
    2015
    Citations: 22
  • High Sensitivity Single Thermopile SOI CMOS MEMS Thermal Wall Shear Stress Sensor
    A De Luca, I Haneef, J Coull, S Ali, C Falco, F Udrea
    IEEE Sensors Journal 15 (10), 5561-5568 , 2015
    2015
    Citations: 30
  • 3D Multiphysics Modelling of an SOI CMOS MEMS Thermal Wall Shear Stress Sensor
    C Falco, A De Luca, S Sarfraz, I Haneef, J Coull, SZ Ali, F Udrea
    Procedia Engineering (EUROSENSORS 2014), The 28th European Conference on … , 2014
    2014
    Citations: 6
  • 3D Modelling of a Thermopile-based SOI CMOS Thermal Wall Shear Stress Sensor
    C Falco, A De Luca, S Sarfraz, I Haneef, J Coull, SZ Ali, F Udrea
    Proc CAS 2014, The 37th International Semiconductor Conference, 13-15 Oct … , 2014
    2014
    Citations: 1
  • SOI CMOS Multi-sensors MEMS Chip for Aerospace Applications
    M Mansoor, I Haneef, S Akhtar, MA Rafiq, SZ Ali, F Udrea
    Proc IEEE Sensors 2014, The 13th IEEE Conference on Sensors, 2-5 Nov 2014 … , 2014
    2014
    Citations: 33
  • A Tungsten Based SOI CMOS MEMS Wall Shear Stress Sensor
    I Haneef, M Umer, M Mansoor, S Akhtar, MA Rafiq, SZ Ali, F Udrea
    Proc IEEE Sensors 2014, The 13th IEEE Conference on Sensors, 2-5 Nov 2014 … , 2014
    2014
    Citations: 10
  • A Thermopile Based SOI CMOS MEMS Wall Shear Stress Sensor
    A De Luca, I Haneef, J Coull, SZ Ali, C Falco, F Udrea
    Proc CAS 2013, The 36th International Semiconductor Conference, 14-16 Oct … , 2013
    2013
    Citations: 12
  • Minimizing the Loss Produced by a Turbulent Separation Using Vortex Generator Jets
    S Evans, J Coull, I Haneef, H Hodson
    AIAA Journal 50 (4), 778-787 , 2012
    2012
    Citations: 36
  • Thermal Characterization of SOI CMOS Micro Hot-plate Gas Sensors
    I Haneef, M Burzo, SZ Ali, P Komarov, F Udrea, PE Raad
    Proc THERMINIC 2010, The 16th International Workshop on Thermal … , 2010
    2010
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • Silicon Diode Temperature Sensors – A Review of Applications
    M Mansoor, I Haneef, S Akhtar, A De Luca, F Udrea
    Sensors and Actuators A: Physical 232, 63–74 , 2015
    2015
    Citations: 202
  • On-chip Deposition of Carbon Nanotubes using CMOS Microhotplates
    MS Haque, KBK Teo, NL Rupensinghe, SZ Ali, I Haneef, S Maeng, J Park, ...
    Nanotechnology 19 (2), 025607 (5pp) , 2008
    2008
    Citations: 70
  • Material Selection for Optimum Design of MEMS Pressure Sensors
    Z Mehmood, I Haneef, F Udrea
    Microsystem Technologies 26, 2751–2766 , 2020
    2020
    Citations: 67
  • Material Selection for Micro-Electro-Mechanical-Systems (MEMS) Using Ashby's Approach
    Z Mehmood, I Haneef, F Udrea
    Materials & Design 157, 412-430 , 2018
    2018
    Citations: 67
  • Silicon on Insulator Diode Temperature Sensor – A Detailed Analysis for Ultra-high Temperature Operation
    S Santra, PK Guha, SZ Ali, I Haneef, F Udrea
    IEEE Sensors Journal 10 (5), 997-1003 , 2010
    2010
    Citations: 58
  • Arrays of Parallel Connected Coaxial Multiwall Carbon Nanotube Amorphous Silicon Solar Cells
    H Zhou, A Colli, A Ahnood, Y Yang, N Rupesinghe, T Butler, I Haneef, ...
    Advanced Materials 21 (38-39), 3919-3923 , 2009
    2009
    Citations: 52
  • An SOI CMOS-based Multi-sensor MEMS Chip for Fluidic Applications
    M Mansoor, I Haneef, S Akhtar, MA Rafiq, A De Luca, SZ Ali, F Udrea
    Sensors 16 (11), 1608 , 2016
    2016
    Citations: 38
  • Minimizing the Loss Produced by a Turbulent Separation Using Vortex Generator Jets
    S Evans, J Coull, I Haneef, H Hodson
    AIAA Journal 50 (4), 778-787 , 2012
    2012
    Citations: 36
  • Use of Carbon Micro-particles for Improved Infrared Temperature Measurement of CMOS MEMS Devices
    RH Hopper, I Haneef, SZ Ali, F Udrea, CH Oxley
    Measurement Science and Technology 21 (4), 045107 (6pp) , 2010
    2010
    Citations: 34
  • SOI CMOS Multi-sensors MEMS Chip for Aerospace Applications
    M Mansoor, I Haneef, S Akhtar, MA Rafiq, SZ Ali, F Udrea
    Proc IEEE Sensors 2014, The 13th IEEE Conference on Sensors, 2-5 Nov 2014 … , 2014
    2014
    Citations: 33
  • High Sensitivity Single Thermopile SOI CMOS MEMS Thermal Wall Shear Stress Sensor
    A De Luca, I Haneef, J Coull, S Ali, C Falco, F Udrea
    IEEE Sensors Journal 15 (10), 5561-5568 , 2015
    2015
    Citations: 30
  • Ultra-high Temperature (> 300° C) Suspended Thermodiode in SOI CMOS Technology
    S Santra, F Udrea, PK Guha, SZ Ali, I Haneef
    Microelectronics Journal 41 (9), 540-546 , 2010
    2010
    Citations: 30
  • Use of Nanocomposites to Increase Electrical “gain” in Chemical Sensors
    S Vieira, P Beecher, I Haneef, F Udrea, WI Milne, MAG Namboothiry, ...
    Applied Physics Letters 91 (20), 203111-1 to 203111-3 , 2007
    2007
    Citations: 29
  • SOI Diode Temperature Sensor Operated at Ultra high Temperatures – A Critical Analysis
    S Santra, PK Guha, SZ Ali, I Haneef, F Udrea, JW Gardner
    Proc IEEE Sensors 2008, The 7th IEEE Conference on Sensors, 26-29 Oct, 2008 … , 2008
    2008
    Citations: 25
  • Shear Stress Sensors
    I Haneef, HP Hodson, R Miller, F Udrea, CE Limited
    US Patent US 9080907 B2 , 2015
    2015
    Citations: 22
  • A map-based Recommendation System and House Price Prediction Model for Real Estate
    M Mubarak, A Tahir, F Waqar, I Haneef, G McArdle, M Bertolotto, ...
    ISPRS International Journal of Geo-Information 11 (3), 178 , 2022
    2022
    Citations: 21
  • Heritage Preservation using Aerial Imagery from Light Weight Low Cost Unmanned Aerial Vehicle (UAV)
    A Tariq, SMOA Gillani, HK Qureshi, I Haneef
    2017 International Conference on Communication Technologies (ComTech), 201-205 , 2017
    2017
    Citations: 21
  • High Performance SOI-CMOS Wall Shear Stress Sensors
    I Haneef, SZ Ali, F Udrea, JD Coull, HP Hodson
    Proc IEEE Sensors 2007, The 6th IEEE Conference on Sensors, 28-31 Oct 2007 … , 2007
    2007
    Citations: 20
  • Evaluation of Thin Film p-type Single Crystal Silicon for Use as a CMOS Resistance Temperature Detector (RTD)
    Z Mehmood, M Mansoor, I Haneef, SZ Ali, F Udrea
    Sensors and Actuators A: Physical 283, 159-168 , 2018
    2018
    Citations: 19
  • Sensitivity Enhancement of Silicon-on-Insulator CMOS MEMS Thermal Hot-film Flow Sensors by Minimizing Membrane Conductive Heat Losses
    Z Mehmood, I Haneef, SZ Ali, F Udrea
    Sensors 19 (8), 1860 , 2019
    2019
    Citations: 16

Publications

Z. Abbas, M. Mansoor, and I. Haneef, “Application of SOI CMOS MEMS Flow Sensors for Real-Time Flow Separation Detection”, Submitted to IEEE Sensors Journal, 2025 (Impact Factor = 4.500; Under review)

Z. Abbas, I. Ullah, N. Chowdhury, and I. Haneef, “Recent Advancements in Turbine Film Cooling in Synergy with Thermal Barrier Coatings: A Review”, Submitted to Propulsion and Power Research, 2025 (Impact Factor = 6.300; Under review)

GRANT DETAILS

1. Won as Main Principal Investigator (PI), National Lab on Micro and Nano Sensors Packaging (as part of National Centre for Nano Science & Nanotechnology-NCNN) worth PKR 218.3 Million (approved in 2019; revived in 2023, funding released in 2024 to Air University).
2. INSPIRE (International Strategic Partnership In Research & Education) Grant SP-225 (2011-2014) worth GBP (£) 52,363 (as Main PI), jointly funded by British Council and HEC.
3. KEP (Knowledge Economy Partnership) Grant KEP-031 (2015-2018) worth PKR 7.1 Million for Air University (Pakistan Partner) and ~ GBP 20,000 (for University of Cambridge, UK Partner) jointly funded by British Council and HEC (as Main PI)
4. TDF (Technology Development Fund) Grant No TDF02-268 (July, 2018-June 2020) titled “Digital Land Mapping for Mega Projects” worth PKR 13.809 Million as Main PI for Air University (Academic Partner) and Mapalytics (Pvt) Ltd (Industrial Partner) funded by HEC, Pakistan.
5. TDF (Technology Development Fund) Grant No TDF03-249 (July, 2019-Jan, 2022) titled “Automation of Real Estate Business Processes Engineering Using Map Personalization and Recommendation - EstaTech” worth PKR 8.265 Million as Co-PI for Air University (Academic Partner), along with PI, Dr Tahir Ali, NUST University (Academic Partner) and GIS Plus (Industrial Partner) funded by HEC, Pakistan.
6. British Council and HEC sponsored Going Global Pak-UK Education Gateway Research Mobility Grant for Faculty&Student (Mar, 2023 – Mar, 2024)

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

US Patent:
I. Haneef, H. P. Hodson, R. J. Miller, F. Udrea, Shear Stress Sensors, US Patent No US 9080907 B2, Published 14 July, 2015 (Also published as : EP2210069A2, US20100242592, WO2009053757A2, WO2009053757A3, US Application No US 12/739,520, PCT No PCT/GB2008/050995, UK Patent Application No 0720905.2), Priority Date 25 October, 2007.

CONSULTANCY

Co-development of PhD Supervisors Manual and Delivery of Training to Pakistani PhD Supervisors in partnership with Coventry University (Project won by Coventry University, Prof Ibraheem Haneef is NUST Lead, Project value: £343,000, Rs 122 Million).

Industry, Institute, or Organisation Collaboration

British Council
Higher Education Commission, Pakistan
Mapalytics (Pvt) Ltd
Cambridge CMOS Sensors, Cambridge, UK

INDUSTRY EXPERIENCE

1. Deputy Chief Engineer (2001–2002) & Senior Production Manager (1995–2001), Pakistan Aeronautical Complex, Kamra
• Overhauled complete inventory of F100-PW-200 engines for PAF F-16 aircraft fleet; implemented ISO 9000 QMS; statistical quality control (SQC) techniques
• Saved more than 50 Million French Francs by effective spares forecasting and definitization
• Awarded Chairman Pakistan Aeronautical Complex Kamra’s Commendation Certificate
• Trained 30+ engineers and technicians on SQC techniques; received Pratt & Whitney Superior Performance Award (1995).

2. Manager Aircraft and Jet Engine Maintenance, Troubleshooting and Repair (1991-1995), Govt of Pakistan
• Managed F-16 aircraft unscheduled and scheduled (50 hrs, 100 hrs, 200 hrs) inspections, maintenance and repairs.
• Led a team of 100+ highly skilled F-16 Aircraft and F-100-PW-200 Engine Maintenance Technicians for repair and maintenance activities at O and I levels.